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PROGRAMME AND

ABSTRACTS BOOK

INTERNATIONAL SEMINAR ON

MATHEMATICS IN INDUSTRY 2017

AUGUST 1-2, 2017

Pulai Springs Resort, Johor Bahru, Malaysia

Foreword Message Preface Organizing Committee Keynote Speaker I Keynote Speaker II Invited Speakers Programme Schedule Tuesday, August 1, 2017 Wednesday, August 2, 2017 Parallel Presentation Schedule Tuesday, August 1, 2017 Dewan Inderaputera Maharaja Suites Maharani Suites Mahsuri Suites Wednesday, August 2, 2017 Dewan Inderaputera & Maharaja Suites Maharani Suites & Mahsuri Suites Malaysian Mathematics in Industry Workshop 2017 Abstracts Acknowledgements Map List of Participants Sponsors

1 2 3 4 6 7 8 9 10 11 13 15 17 19 21 22 23 26 102 103 104 110

Contents

International Seminar on Mathematics in Industry 2017

Assalamualaikum Warahmatullahi Wabarakatuh. Salam Sejahtera dan Salam Satu Malaysia It gives me great pleasure to be here for the 2nd International Seminar on Mathematics in Industry 2017 (ISMI 2017), organised as a collaborative effort between the UTM Centre for Industrial and Applied Mathematics (UTM-CIAM), the Department of Mathematical Sciences, Faculty of Science, UTM; and the Oxford Centre for Industrial and Applied

Mathematics (OCIAM), Oxford University. I am also pleased to welcome keynote and invited speakers, presenters, participants, industrial partners and invited guests who have come from near and far to be with us today. As a research university, UTM recognizes the importance of fostering synergy and enhancing engagements between the university community and external partners from other institutions and the industry towards impactful outcomes in resolving issues, challenges and problems at all levels. As such, this gathering of academics, experts and practitioners is the right platform to share important insights, practical approaches and innovative solutions in the field of applied and industrial mathematics. At the same time, we strongly believe that corporate organizations and government bodies have a strong motivation to provide the support and contribute funding in recognition of the meaningful outcomes of work done by researchers. Lastly, I would like to thank the organisers and the working committee for their tireless effort, the sponsors for their support and all those who have contributed to the success of this seminar. I wish all presenters and participants a fruitful seminar and I hope that your visit to UTM will be a pleasant experience. Thank you.

Prof. Datuk Ir. Dr. Wahid Omar Vice Chancellor

Universiti Teknologi Malaysia, UTM

Foreword

ISMI 2017, Industrial Mathematics for Innovation and Commercialization 1


Assalamualaikum Warahmatullahi Wabarakatuh. Salam Sejahtera dan Salam Satu Malaysia Alhamdulillah, praise be to Allah Subhanahu Wata'ala for giving the UTM Centre for Industrial and Applied Mathematics (UTM-CIAM) the opportunity to organize the 2nd International Seminar on Mathematics in Industry 2017 (ISMI 2017). On behalf of UTM-CIAM, I would like to extend my heartiest welcome to keynote and invited speakers, participants, presenters and guests to our seminar. In 2013, the

first ISMI was successfully organised and the outcome of the seminar was extremely positive. Since then, things unfolded in a productive way for industrial mathematics as more research and collaborations have been forged between mathematics researchers and the industrial community through various conferences and academic publications. Since its establishment in 2012, UTM-CIAM has targeted its activities towards empowering industrial mathematics as a tool for problem solving, innovation and commercialisation in line with national aspiration to boost the interest in STEM and accelerate the 4th IR. Thus, the theme for this seminar, ‘Industrial Mathematics for Innovation and Commercialisation’ is indeed appropriate. Currently, UTM-CIAM provides consultancy and assistance to business owners on ways to simplify processes, strengthen their positions and expand their productivity in the marketplace. Our activities also include industry-related research, capacity building and industrial customised software development programmes. As such, we look forward to acquiring and applying new techniques and innovations to solve industrial problems and commercialise products. Apart from ISMI 2013, we have successfully organized signature events such as the Mathematics in Industry Study Group (MISG), the Malaysia Mathematical Modelling Camp (MMMC) 2015, the Malaysia Industrial Mathematical Modelling Camp (MIMMC) 2013 and Young Talent Consultancy Camp 2016. We are very confident this seminar will bring more mathematical scientists and industry practitioners together to share their experiences in handling real industrial problems through mathematical ideas and tools. We are very happy to continue the good relations and collaborations with the Oxford Centre for Industrial and Applied Mathematics (OCIAM), and are planning more future endeavours with our industrial partners. Lastly, I would like to express my heartfelt appreciation to everyone for their hard work, cooperation, and dedication to ensure the success of this seminar. The excellent efforts engaged by the organising committee, the Faculty of Science, OCIAM and UTM in organising ISMI 2017 are laudable. I wish all the participants an enriching seminar. Thank you.

Prof. Dr. Zainal Abd. Aziz Director

UTM Centre for Industrial and Applied Mathematics (UTM-CIAM)

Message



Assalamualaikum Warahmatullahi Wabarakatuh. Salam Sejahtera dan Salam Satu Malaysia Praise be to Almighty Allah (SWT), for granting us the opportunity to organise the 2nd International Seminar on Mathematics in Industry 2017 (ISMI 2017) in Universiti Teknologi Malaysia (UTM) Johor Bahru, Johor. We are deeply honoured to be the host of this prestigious seminar. This year’s theme, ‘Industrial Mathematics for Innovation and

Commercialisation’, is an excellent platform for mathematical scientists and industry practitioners to share their experiences in handling industrial challenges and issues through mathematical ideas and tools. The first ISMI, held in 2013 with resounding success, had forged closer ties between mathematical scientists and industry partners in Malaysia through various project-based collaborations. This year, ISMI-2017 is jointly organised by UTM Centre for Industrial and Applied Mathematics (UTM-CIAM), the Department of Mathematical Sciences, Faculty of Science, UTM and the Oxford Centre for Industrial and Applied Mathematics (OCIAM). On behalf of organising committee, I would like to extend my heartiest welcome to all the invited speakers, presenters and participants and to thank all of you for your support and patronage. We have received more than 70 papers, and corresponding participants will be joining us in presenting their ideas and achievements, as well as participating in the Malaysian Mathematics in Industry Workshop (MMIW-2017). We hope that this seminar will promote the sharing of experiences and strengthen collaborations among participants applying innovative mathematical tools and models in industry. My deepest appreciation goes to UTM, UTM-CIAM, OCIAM and the Department of Mathematical Sciences for their support in organising the seminar. I would also like to thank the honourable Prof. Dr. Masato Wakayama and YB Dato’ Mohd Razali bin Hussain for accepting our invitation to speak in our seminar. Finally, I would like to thank the presenters, participants, sponsors, the ISMI 2017 working committee (for their hard work and commitment), and any who have directly or indirectly contributed to make ISMI 2017 a success. Thank you and May Allah bless us all!

Assoc. Prof. Dr. Fadhilah Yusof Chairman of ISMI 2017

Preface



Patron

YBhg. Prof. Datuk Ir. Dr. Wahid Omar

Vice Chancellor, Universiti Teknologi Malaysia (UTM)

Advisors

Prof. Dr. Ahmad Fauzi Ismail UTM Deputy Vice-Chancellor (Research And Innovation)

Prof. Dr. Zainal Abdul Aziz

Director, UTM-Centre for Industrial and Applied Mathematics

Chair

Assoc. Prof. Dr. Fadhilah Yusof

Secretary

Dr. Nur Arina Bazilah Aziz Mr. Mohd Farid Ismail Miss Nurfarhani Shabri

Miss Tuan Mariam Tuan Mahmud

Treasurer

Dr. Zuhaila Ismail Dr. Zaitul Marlizawati Zainuddin

Dr. Nor Muhainiah Mohd Ali Mrs. Nor Liyana Sabari Miss Norliza Mohd Zain Miss Normazni Abdullah

Organizing Committee


http://www.utm.my/vicechancellor/biography/

http://www.utm.my/dvcri/

http://science.utm.my/zainal


Technical & Scientific Committee

Secretariat

Dr. Syarifah Zyurina Nordin Dr. Anati Ali

Dr. Faridah Mustapha Dr. Shariffah Suhaila Syed Jamaludin

Dr. Zarina Mohd Khalid Mrs. Wan Rukaida Wan Abdullah

Web &

Announcements

Dr. Norhaiza Ahmad

Dr. Nur Arina Bazilah Aziz Dr. Shazirawati Mohd Puzi

Event

Managemant

Dr. Taufiq Khairi Ahmad Khairuddin

Dr. Mohd Ariff Admon Dr. Niki Anis Ab Karim

Dr. Norazlina Ismail Dr. Zaiton Mat Isa

Mr. Wan Rohaizad Wan Ibrahim Mr. Zulfauzi Zakaria Mr. Fauzi Md Arif

Scientific

Assoc. Prof. Dr. Ali Hassan Mohamed Murid

Prof. Dr. Tahir Ahmad Assoc. Prof. Dr. Maizah Hura Ahmad

Assoc. Prof. Dr. Sharidan Shafie Assoc. Prof. Dr. Mukhiddin Muminov

Dr. Ahmad Razin Zainal Abidin Dr. Akbar Banitalebi

Dr. Ani Shabri Dr. Farhana Johar

Dr. Fong Wan Heng Dr. Fuaada Mohd Siam

Dr. Muhammad Fauzee Hamdan Dr. Yeak Su Hoe

MMIW 2017

Dr. Arifah Bahar

Prof. Dr. Zainal Abdul Aziz Assoc. Dr. Zulkepli Majid

Dr. Ahmad Razin Zainal Abidin Dr. Mohd Ridza Mohd Haniffah Dr. Zaitul Marlizawati Zainuddin



\

DATO’ MOHD. RAZALI HUSSAIN

Director-General, Malaysia Productivity Corporation

(MPC)

Productivity Measurements and Mathematical Applications

Mathematics is a methodical application of matter. The subject makes a man methodical or systematic and through that it makes our life orderly and prevents chaos. In a nut-shell we can say, mathematics is very much about creativity and problem solving. In today challenging world, industries have utilized and combine knowledge of mathematics, statistics and economic theory to resolve real-world business problems. Productivity measurement is an important means to an end. It provides valuable information on how an organization is performing, where it would like to be, and how it can achieve its goals. Productivity measurement is a prerequisite for improving productivity. Without productivity measurement, a business does not have direction and control. It helps to determine if our organization or nation is progressing well. It also provides information on how effectively and efficiently our organization or nation manages its resources. However, the measurement process is not a straight forward affair and many judgement calls need to be made along the way. In solving the industry problems, the actual process is always begun with the formulation of the problem and our experience in productivity measurement had shown us that the understanding of the problems is very much crucial in ensuring the right formulation of the problem to be establish. Specific examples on productivity measurement exercise are discussed in this paper as to illustrate the importance of this systematic problem formulation.

Keynote Speaker I



PROF. DR. MASATO WAKAYAMA

Executive Vice President,

Kyushu University

Former Director, Institute of Mathematics for Industry,

Kyushu University

Mathematics for Industry in Japan

For over 50 years, mathematical research in Japan has been much inclined towards pure mathematics. Nevertheless, behind the Japanese technological developments for Mono-Zukuri (manufacturing) culture, there existed a strong tradition of applied mathematics along with several practical experimental research. In fact, much of these works are under the School of Engineering rather than the School of Science where the Department of Mathematics is normally attached. Then, what happened around in the 1990s, such active applied mathematical research tradition in the engineering schools became gradually disappearing after we obtained high performance computers. It was very unfortunate, but finally, under the recent development of the Internet, Big-Data, Artificial Intelligence, etc. resulting from the realization of more advanced high performance computing, we arrived at a point that has enabled us to make various efforts to improve the situation not only in mathematics research communities but also the government. In this talk, I will present an overview of the historical development of Japanese mathematics and introduce the current trend and effort.

Keynote Speaker II



No. Speakers ID 1. Ahmad Razin Zainal Abidin, Dr. ID083 2. Akbar Banitalebi, Dr. ID015 3. Ali Hassan Mohamed Murid, AP Dr. ID061 4. Arifah Bahar, Dr. ID036 5. Dennis Ling Chuan Ching, Dr. ID068 6. Fadhilah Yusof, Dr. ID081 7. Farah Aini Abdullah, AP Dr. ID063 8. Fong Wan Heng, Dr. ID032 9. Hamizah M Safuan, Dr. ID035

10. Mohd Ridza Mohd Haniffah, Dr. ID043 11. Mohd Bakri Adam, AP Dr. ID039 12. Mohd Tahir Ismail, AP Dr. ID040 13. Muhamad Safiih Lola, AP Dr. ID026 14. Noratiqah Mohd Ariff, Dr. ID031 15. Norazlina Ismail, Dr. ID078 16. Norhaiza Ahmad, Dr. ID041 17. Nur Aidya Hanum Aizam, Dr. ID071 18. Nur Arina Bazilah Aziz, Dr. ID080 19. Sharifah Hafizah Syed Ariffin, AP Ir. Dr. ID046 20. Shariffah Suhaila Syed Jamaludin, Dr. ID079 21. Suhartono, Dr. ID082 22. Syarifah Zyurina Nordin, Dr. ID076 23. Syerrina Zakaria, Dr. ID050 24. Taufiq Khairi Ahmad Khairuddin, Dr. ID060 25. Ummu ’Atiqah Mohd Roslan, Dr. ID045 26. Wan Rukaida Wan Abdullah, Ms. ID077 27. Yeak Su Hoe, Dr. ID008 28. Zainal Abdul Aziz, Prof. Dr. ID038 29. Zainidin K. Eshkuvatov, AP Dr. ID064 30. Zaitul Marlizawati Zainuddin, Dr. ID075 31. Zarina Mohd Khalid, Dr. ID073 32. Zuhaila Ismail, Dr. ID044

Invited Speakers



Time Programme Venue

8.00 - 9.00 Registration Pavilion Foyer

9.00 - 9.45 Opening Ceremony Dewan Inderaputera

9.45 - 10.15 Refreshment Ramayana Lounge, Pulai Pavilion

10.15 - 11.15 Keynote Session I Dewan Inderaputera

11.15 - 12.15

Invited Parallel Session I

Dewan Inderaputera &

Pulai Pavilion (Maharaja Suites, Maharani Suites, Mahsuri Suites)

12.15 - 13.00

Contributed Parallel Session I



13.00 - 14.00 Lunch Break Cinta Terrace, Level 2, CintaAyu Hotel

14.00 - 15.00 Contributed Parallel Session II



15.00 - 16.00 Keynote Session II Dewan Inderaputera

16.00 - 17.00 Invited Parallel Session II



17.00 - 17.15 Refreshment Ramayana Lounge, Pulai Pavilion

20.00 - 22.00 Dinner Kayangan Suites

Programme Schedule August 1, 2017




8.30 – 8.45

Malaysian Mathematics in Industry Workshop 2017

Welcoming & Opening remarks

Dewan Inderaputera

8.45 - 9.30 Malaysian Mathematics in Industry Workshop 2017

Industrial Problem Presentations

Dewan Inderaputera

9.30 – 10.00 Refreshment Ramayana Lounge, Pulai Pavilion

10.00 - 13.00 Malaysian Mathematics in Industry Workshop 2017 Parallel Discussion on the

Industrial Problems

Pulai Pavilion (Maharaja Suites, Maharani Suites)

13.00 - 14.00 Lunch Break Cinta Terrace,

Level 2, CintaAyu Hotel

14.00 - 15.15 Invited & Contributed Parallel Session III



15.15 – 16.00


Wrap-up Session on Industrial Problems

& Photo Session

Dewan Inderaputera

16.00 - 16.30 Closing Ceremony Dewan Inderaputera

16.30 Refreshment Ramayana Lounge, Pulai Pavilion

Programme Schedule August 2, 2017



Time Programme (Tuesday - August 1, 2017) 8.00 - 9.00 Registration 9.00 - 9.45 Opening Ceremony 9.45 - 10.15 Refreshment 10.15 - 11.15 Keynote Session I

Para

llel S

essi

on

Venue Dewan

Inderaputera

Pulai Pavilion

Maharaja Suites

Maharani Suites

Mahsuri Suites

Time

Environment/ Agro Manufacturing Finance/

Social Medical/ Healthcare


11.15 -

12.15

ID035 ID031 (C)

ID039

ID082 ID015 (C)

ID043

ID026 ID045 (C)

ID050

ID061 ID044 (C)

ID032

12.15 -

13.00


ID021 (C) ID024 ID033

ID012 ID018

ID013 (C)

ID051 (C) ID052 ID058

ID004 (C) ID005 ID016

13.00- 14.00 Lunch Break

14.00 -

15.00

Contributed Parallel Session II

Manufacturing Energy Finance/ Social

Medical/ Healthcare

ID019 ID054 ID055

ID034 (C)

ID027 ID028 (C)

ID037 ID049

ID007 ID053 ID056

ID088 (C)

ID014 ID029 (C)

ID030 ID048

15.00 - 16.00 Keynote Session II

Para

llel S

essi

on

16.00

- 17.05

Invited Parallel Session II

Environment/ Agro & Others

Manufacturing/ Transportation

Environment/ Agro

Medical/ Healthcare

& Agri

ID068 ID008

ID078 (C) ID079

ID046 ID075

ID076 (C) ID081

ID064 ID080 (C)

ID041 ID038

ID063 ID036 ID073

ID077 (C)

(C) Chairperson

Parallel Presentation Schedule



Time Programme (Wednesday - August 2, 2017) 8.30 – 8.45 Malaysian Mathematics in Industry Workshop 2017

Welcoming & Opening remarks 8.45 – 9.30 Malaysian Mathematics in Industry Workshop 2017

Industrial Problem Presentations 9.30 – 10.00 Refreshment

10.00 – 13.00 Malaysian Mathematics in Industry Workshop 2017 Parallel Discussion on the Industrial Problems

13.00 – 14.00 Lunch Break

Para

llel S

essi

on

Venue Dewan Inderaputera

Pulai Pavilion

Maharaja Suites

Maharani Suites

Mahsuri Suites

Time

Invited & Contributed Parallel Session III

Manufacturing, Energy &

Agro Manufacturing Environment/

Agro Energy/

Transportation

14.00 -

15.15

ID040 ID071

ID060 (C) ID083

ID006 ID042 (C)

ID072 ID074 ID087

ID047 ID057 (C)

ID059 ID084 ID086

ID017 ID020 (C)

ID023 ID085 ID089

15.15 –

16.00

Malaysian Mathematics in Industry Workshop 2017 Wrap-up Session on Industrial Problems

& Photo Session

16.00 - 16.30 Closing Ceremony 16.30 Refreshment

(C) Chairperson




(C) Chairperson

TUESDAY, August 1, 2017 DEWAN INDERAPUTERA

TIME ID NO. SPEAKER TITLE Industry Application – Environment/Agro


11.15 –11.35 ID035 Hamizah M Safuan

Dynamical Behaviours of Prey-Predator Fishery Model with Harvesting

Affected by Toxic Substances

11.35 – 11.55 ID031 (C)

Noratiqah Mohd Ariff

Potential of Plotting Positions for Intensity-

Duration-Frequency Curves with Short Rainfall Records

11.55 – 12.15 ID039 Mohd Bakri Adam

Extreme Modelling of Missing Acacia Mangium

Height Data Contributed Parallel Session I

12.15 – 12.30 ID021 (C) Amir Hamzah

Nonlinear Partial Differential Equations

Model Related to Oxidation Pond Treatment System: A

Case Study Of Mpho at Taman Timor Oxidation

Pond, Johor

12.30 – 12.45 ID024 Izzat

Fakhruddin Kamaruzaman

A Comparison of Method for Treating Missing Daily Rainfall Data in Peninsular

Malaysia

12.45 – 13.00 ID033 Rahmah Binti

Mohd Lokoman

Parametric Estimation Methods for Bivariate

Copula in Rainfall Application

13.00 – 14.00 LUNCH BREAK




(C) Chairperson

TUESDAY, August 1, 2017 DEWAN INDERAPUTERA

TIME ID NO. SPEAKER TITLE

Industrial Application - Manufacturing


14.00 – 14.15 ID019 Fatin Amrina A. Rashid

Deriving Critical Factors for Quality and Safety

Management at Wood Based Furniture Industry

14.15 – 14.30 ID054 Mohamad Alif Bin Ismail

Mhd Effect on Unsteady Mixed Convection Boundary Layer

Flow past a Circular Cylinder in Nanofluid with Constant

Wall Temperature

14.30 – 14.45 ID055 Mohd Rijal Ilias

Aligned MHD Free Convection of Ferrofluids with Convective Surface Boundary Condition

over an Inclined Plate

14.45 – 15.00 ID034 (C)

Ahmad Fadly Nurullah Rasedee

Solution for Nonlinear Duffing Oscillator using Variable Order

Variable Stepsize Block Method

15.00 – 16.00 KEYNOTE SESSION II Industrial Application – Environment/Agro & Others

Invited Parallel Session II

16.00 – 16.20 ID068 Dennis Ling Chuan Ching

Mathematical Modeling of Geophone Magnetic Ring for

Sensitivity Studies

16.20 – 16.35 ID008 Yeak Su Hoe

Some Numerical Methods and Comparisons for Solving

Mathematical Model of Surface Decontamination by Clay

Solution

16.35 – 16.50 ID078 (C)

Norazlina Ismail

Generic Skills Assessment on Critical Thinking and Problem Solving Skills: Engineering vs

Non-Engineering UTM Students

16.50 – 17.05 ID079 Shariffah

Suhaila Syed Jamaludin

Application of Mathematical Sciences Research in

Hydrology Fields: A case study in Malaysia

17.05 REFRESHMENT



(C) Chairperson

TUESDAY, August 1, 2017 MAHARAJA SUITES, PULAI PAVILION


Industrial Application - Manufacturing Invited Parallel Session I

11.15 –11.35 ID082 Suhartono

Comparison between VAR, GSTAR, FFNN-

VAR and FFNN-GSTAR Models for Forecasting Oil

Production

11.35 – 11.55 ID015 (C)

Akbar Banitalebi

A Review on Modeling and Control of Magnetorheological

Fluid Dampers

11.55 – 12.15 ID043 Mohd Ridza

Bin Mohd Haniffah

Performance of Isogeometric Analysis on Plane Stress

Structure Contributed Parallel Session I

12.15 – 12.30 ID012 Annie Gorgey

Extrapolated Symmetrized Runge-Kutta Methods in Solving Simple Harmonic

Oscillator

12.30 – 12.45 ID018 Rahimah Mahat

Mixed Convection Boundary Layer Flow of a Viscoelastic Nanofluid over a Heated and

Cooled Circular Cylinder

12.45 – 13.00 ID013 (C)

Yahaya Shagaiya

Daniel

Effect of Thermal Stratification on MHD Flow of Nanofluid in

the Presence of Thermal Radiation and Electric Field

over a Stretching Sheet




(C) Chairperson

TUESDAY, August 1, 2017 MAHARAJA SUITES, PULAI PAVILION

TIME ID NO. SPEAKER TITLE Industrial Application – Energy


14.00 – 14.15 ID027 Amber Nehan Kashif

Comparative Study on Maxwell and Navier Stokes Fluid Equations with Pressure

Gradient over a Flat Plate for Convective Boundary Layer

Flow and Heat Transfer

14.15 – 14.30 ID028 (C)

Nur Fadhilah Ibrahim

Convergence Rate for the Method of Finding the Largest

Eigenvalue of Nonnegative Polynomials

14.30 – 14.45 ID037

Fawzia Mansour

Elniel

Approximate Analytical Solution of the MHD Powell-

Eyring Fluid Flow near Accelerated Plate

14.45 – 15.00 ID049 Muhammad

Zillullah Mukaram

Solar Radiation Forecasting Using a Hybrid SARIMA and

ANN method 15.00 – 16.00 KEYNOTE SESSION II

Industrial Application – Manufacturing/Transportation Invited Parallel Session II

16.00 – 16.20 ID046 Sharifah

Hafizah Syed Ariffin

Optimal Forwarding Probability in Vehicular

Location Prediction Handoff Algorithm (Vlp-H)

16.20 – 16.35 ID075 Zaitul

Marlizawati Zainuddin

Integration of Economic Production Quantity with

Defective Items and Aggregate Planning for Multi-Product in Multi-

Period

16.35 – 16.50 ID076 (C)

Syarifah Zyurina Nordin

Optimization of UTM Bus Services

16.50 -17.05 ID081 Fadhilah Yusof

Statistical Literacy for Small and Medium-sized

Enterprise (SME) in Malaysia

17.05 REFRESHMENT



(C) Chairperson

TUESDAY, August 1, 2017 MAHARANI SUITES, PULAI PAVILION


Industrial Application – Finance/Social Invited Parallel Session I

11.15 –11.35 ID026 Muhamad Safiih Lola

Bootstrap Neural Network Arima (P,D,Q) Model for Time Series Forecasting

11.35 – 11.55 ID045 (C)

Ummu ’Atiqah

Mohd Roslan

Sensitive Dependence on Initial Conditions for an

Example of Markov Maps: Skewed Doubling Map

11.55 – 12.15 ID050 Syerrina Zakaria

Constructing Material & Social Deprivation Index in

Setiu Wetlands: Factor Analysis


12.15 – 12.30 ID051 (C)

Kashif Bin Zaheer

Two Stage Portfolio Selection and Optimization Model with The Hybrid Particle Swarm

Optimization

12.30 – 12.45 ID052 Agnes Ona Bliti Puka

Forecasting of Currency Inflow and Outflow in Bank Indonesia Based on Quantile Regression Neural Network

Model

12.45 – 13.00 ID058 Kho Chia Chen

Modeling and Estimation on Long Memory Stochastic

Volatility for Index Prices of FTSE Bursa Malaysia KLCI




(C) Chairperson

TUESDAY, August 1, 2017 MAHARANI SUITES, PULAI PAVILION


Industrial Application – Finance/Social Contributed Parallel Session II

14.00 – 14.15 ID007 Nurkhairany

Amyra Mokhtar

On Parameter Estimation of a Replicated Linear Functional

Relationship Model for Circular Variables

14.15 – 14.30 ID053 Ahmad Ridhuan Hamdan

Queuing System Effectiveness at School

Cooperative

14.30 – 14.45 ID056 Titis Miranti

Survival Analysis of Companies’ Delisting Time in

Indonesian Stock Exchange Using Bayesian Multiple-

Period Logit Approach

14.45 – 15.00 ID088 (C)

Asma’ Mustafa

Modelling and Forecasting External Trade using ARIMA

and GARCH Model 15.00 – 16.00 KEYNOTE SESSION II

Industrial Application – Environment/Agro Invited Parallel Session II

16.00 – 16.20 ID064 Zainidin K. Eshkuvatov

Convergence of Modified Homotopy Perturbation Method for Fredholm-

Volterra Integro-Differential Equation of order m

16.20 – 16.35 ID080 (C)

Nur Arina Bazilah Aziz

Chicken Product Production Optimizer

16.35 – 16.50 ID041 Norhaiza Ahmad

Detection of Vocs from Ganoderma Boninense

Infected Oil Palm Tissue

16.50 – 17.05 ID038 Zainal Abdul Aziz

Modelling the Effect of Hydraulic Conductivity on

One Dimensional Contaminant Transport in

RBF System 17.05 REFRESHMENT



(C) Chairperson

TUESDAY, August 1, 2017 MAHSURI SUITES, PULAI PAVILION


Industrial Application – Medical/Healthcare Invited Parallel Session I

11.15 –11.35 ID061 Ali Hassan Mohamed

Murid

Fast Computation of Disk and Annulus with Circular Slits Map of Bounded Multiply Connected Regions with

Application to Biomedical Image Processing

11.35 – 11.55 ID044 (C)

Zuhaila Ismail

Simulation of Aqueous Humour Flows and

Deformation of DMD in a 3-Dimensional Anterior

Chamber

11.55 – 12.15 ID032 Fong Wan Heng

Generalizations of DNA Splicing Systems with One

Palindromic Restriction Enzyme


12.15 – 12.30 ID004 (C)

Siti Rohani Mohd Nor

Multi-Population Mortality Model: A Practical Approach

12.30 – 12.45 ID005 Padmaa Venkatason

Some Statistics on Cardiogenic Shock

Complicating St-Elevation Myocardial Infarctions in

Malaysian Patients.

12.45 – 13.00 ID016 Norliza Mohd Zain

Modelling of Non-Newtonian Blood Flow through a

Bifurcated Artery with the Presence of an Overlapping

Stenosis 13.00 – 14.00 LUNCH BREAK



(C) Chairperson

TUESDAY, August 1, 2017 MAHSURI SUITES, PULAI PAVILION


Industrial Application – Medical/Healthcare & Agri Contributed Parallel Session II

14.00 – 14.15 ID014 Nurliyana Juhan

Risk Factors of Cardiovascular Disease

among St Elevation Myocardial Infarction Male Patients in Malaysia from

2006 to 2013

14.15 – 14.30 ID029 (C)

Khuneswari Gopal Pillay

Model-Building using Multiple Binary Logit on Mortality of ICU Patient’s

14.30 – 14.45 ID030

Aaishah Radziah

Binti Jamaludin

Correlational Study of Air Pollution-Related Diseases

(Asthma, Conjunctivitis and Urti) in Johor Bahru,

Malaysia

14.45 – 15.00 ID048 Normazni Abdullah

Numerical Simulation of non-Newtonian Blood Flow in a

3D Stenosed Bifurcated Artery

15.00 – 16.00 KEYNOTE SESSION II Invited Parallel Session II

16.00 – 16.20 ID063 Farah Aini Abdullah

Fractional Metapopulation of Measles Model

16.20 – 16.35 ID036 Arifah Bahar Quality Control for Bull Semen in Malaysia

16.35 – 16.50 ID073 Zarina Mohd Khalid

Estimating Risk Factors of Neonatal Death in a

Malaysian Public Neonatal Intensive Care Unit using a Survival Analysis Approach

16.50 – 17.05 ID077 (C)

Wan Rukaida

Wan Abdullah

A Model of Unsteady Blood Flow in Microcirculation for

4-Node Networks

17.05 REFRESHMENT



(C) Chairperson

WEDNESDAY, August 2, 2017 DEWAN INDERAPUTERA


Industrial Application – Manufacturing, Energy & Agro Invited & Contributed Session III

14.00 – 14.20 ID040 Mohd Tahir Ismail

Determinants of Electricity Consumption for Asean

Countries

14.20 – 14.40 ID071 Nur Aidya Hanum Aizam

Mathematical Modelling for Fish Feed Formulation of

Mystus Nemurus Sp. Catfish: Optimizing Growth and Nutrients Requirements

14.40 – 15.00 ID060 (C)

Taufiq Khairi Ahmad

Khairuddin

Describing the Orientation of a Conducting Spheroid Based

on the First Order Polarization Tensor

15.00 – 15.15 ID083 Ahmad Razin Zainal Abidin Subsea Cable Laying Problem

WEDNESDAY, August 2, 2017 MAHARAJA SUITES, PULAI PAVILON

TIME ID NO. SPEAKER TITLE Industrial Application – Manufacturing

Contributed Parallel Session III

14.00 – 14.15 ID006 Nor Hafizah Moslim

On Approximation of the Concentration Parameter for

von Mises Distribution

14.15 – 14.30 ID042 (C)

Maizatul Nadirah Mustaffa

Some Numerical Methods for Solving Geodesic Active Contour Model on Image

Segmentation Process

14.30 – 14.45 ID072 Nurul Izyan Mat Daud

Free Vibration of Layered Cylindrical Shell Filled with

Fluid using Spline Approximation

14.45 – 15.00 ID074 Nur Intan

Liyana Mohd Azmi

MILP Model for Integrated Line Balancing and Model Sequencing Problems for Mixed-Model Two-Sided

Assembly Line

15.00 – 15.15 ID087 Noryanti Nasir A study on the optimal felling rate in the palm oil plantation

system



(C) Chairperson

WEDNESDAY, August 2, 2017 MAHARANI SUITES, PULAI PAVILON

TIME ID NO. SPEAKER TITLE Industrial Application – Environment/Agro


14.00 – 14.15 ID047 Sayed

Ameenuddin Irfan

Mathematical Modeling for Control Released Fertilizer

14.15 – 14.30 ID057

(C)

Aimi Athirah Ahmad

Rainfall, Evapotranspiration and Rainfall Deficit Trend in

Alor Setar, Malaysia

14.30 – 14.45 ID059

Noraini Ibrahim

Comparative Performance of Support Vector Regressions

for Accurate Streamflow Predictions

14.45 – 15.00 ID084 Nur Syazwin Mansor

Spatial Grouping of Homogeneous River Flow

Process in Johor

15.00 – 15.15 ID086 Siti Mariam Norrulashikin

Performance Evaluation of a New Hybrid Multivariate

Meteorological Model Analysis: A Simulation Study

WEDNESDAY, August 2, 2017 MAHSURI SUITES, PULAI PAVILON

TIME ID NO. SPEAKER TITLE Industrial Application – Energy/Transportation


14.00 – 14.15 ID017 Norshela Mohd Noh

Forecasting Model for Crude Oil Price With Structural

Break

14.15 – 14.30 ID020 (C) Floridah Jelon An Analysis of Aircraft

Taxiing Route

14.30 – 14.45 ID023 Nurlyana Omar

Development of Radionuclide Dispersion Modeling Based on Gaussian Plume Model

14.45 – 15.00 ID085 Norazlina Subani

Detecting Gas Leaks in a Pipeline Using Reduced

Order Modelling

15.00 – 15.15 ID089 Azmirul Ashaari

Transformation Pressurized Water Reactor (AP1000) to

Fuzzy Graph



Wednesday, August 2, 2017


8.30 – 8.45 Welcoming & Opening Remarks Dewan Inderaputera

8.45 – 9.30 Industrial Problems Presentation

9.30 – 10.00 Refreshment Ramayana Lounge, Pulai Pavilion

10.00 – 13.00

Parallel Discussion on the Industrial Problems

J-Biotech Sdn.Bhd. Maharaja Suites, Pulai Pavilion

Photo Laser Grammetry Sdn. Bhd.

Maharani Suites, Pulai Pavilion

13.00 – 14.00 Lunch Break Cinta Terrace,

Level 2, CintaAyu Hotel

14.00 – 15.15 Invited & Contributed Parallel Session III



15.15 – 16.00

Wrap-up Session on the Industrial Problems

& Photo Session Dewan Inderaputera

16.00 – 16.30 Closing Ceremony

16.30 Refreshment Ramayana Lounge, Pulai Pavilion




Company Profile

Johor Biotechnology and Biodiversity Corporation (J-Biotech) is a statutory body under the purview of the Johor State Government. It was established in October 2005 and was incorporated in April 2007 under the state enactment No.3 (2006) with the mission of unifying agenda for the Johor Bioeconomy and Biodiversity ecosystem development towards Johor Progressive Aspiration. J-Biotech is responsible for developing Johor into a prime mover of biotechnology and biodiversity in southern Malaysia. The key functions of J-Biotech are as follows: 1) Leading Johor Bioeconomy DNA, 2) Centre of Gravity for sustainable Bioeconomy ecosystem, 3) Adapting sustainable approach in preservation, conservation of

biodiversity and bio resources, 4) Cultivating competitive talent, SMEs and community. The key functions support the vision of J-Biotech that is to benefit the stakeholders with the Bioeconomy advances in a sustainable manners.

Problem Statement

Seagrasses are considered as one of the most important species as they play key ecological roles in various types of ecosystems and also provide a food source for endangered animal species. However, they are continually threatened by human activities, causing their degradation and possible habitat loss. In State and National Biodiversity Strategic Plan, Johor is to be made one of the marine research and reference centres in seagrass research for the purpose of continuous research collaboration between government agencies, universities, private sector and NGOs. As the preliminary study towards achieving this plan, an analysis on the ability of seagrass to grow in Johor need to be carried out. Factors involved in determining the growth of the seagrass and the data essential for the analysis are to be identified.

J-Biotech Sdn. Bhd.



Company Profile

Photo Laser Grammetry Sdn Bhd (PLG) was developed in 2010 under the UTM-MTDC Symbiosis Programme. In 2015, PLG was fully appointed as one of the spin-off company in Universiti Teknologi Malaysia (UTM) with the expertise in geospatial system developer and data provider. PLG offers geospatial mapping services using Light Detection and Ranging (LiDAR) technology which consists of UAV-based airborne LiDAR, mobile LiDAR and terrestrial LiDAR for various types of applications. Currently, PLG has successfully developed a multi-sensors airborne geospatial mapping technology integrating LiDAR, multi-spectral and thermal imaging sensors for capturing high resolution multi images and three-dimensional geospatial features.

Problem Statement

1) How to apply K-Nearest Neighbor (KNN) and K-Dimension Partioning/indexing (K-DTree) method for the processing of 3D point clouds data using Matlab software? How to use these two methods to speed up the processing time for big dataset of 3D point clouds data?

2) How to apply Principal Component Analysis (PCA) in analyzing the geometrical component of the 3D point clouds data? How to produce the Matric A of the point clouds dataset using PCA?

Photo Laser Grammetry Sdn Bhd



Abstracts



ID004

Multi-Population Mortality Model: A Practical Approach SITI ROHANI BINTI MOHD NORa, FADHILAH YUSOFb & ARIFAH

BAHARc a,b,c Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi

Malaysia, 81310 Johor Bahru, Malaysia [email protected], [email protected], [email protected]

ABSTRACT The development of demographic modelling for multiple populations has attracted the attention of many demographers, academicians, and practitioners. There are various demographic modelling for single population that have been introduced thus far. Hence, the growing number of multi-population mortality models over the recent years signifies the failure of the existing single-population mortality models in identifying the recent trends and changes in mortality rate. In this case, there are many shortcomings and lack of improvements in finding the best fitted multi-population model. In the present study, we extend the Hyndman-Ullah method for coherent multi-population mortality model in Malaysia. Hyndman-Ullah method comprises of three functional data analysis (FDA) procedures which are the choice of smoothing technique, dimension reduction and forecasting methods. The aim of this paper is to propose an extension of Hyndman-Ullah method in term of these three key aspects of FDA approach. The performance of the new and original methods are demonstrated by applying them to Malaysia mortality of male and female and by comparing the significant of both methods to the new annuity portfolio and traditional actuarial methods. Finally, the performance of Hyndman-Ullah method and extension of Hyndman-Ullah method was compared. The results showed that the extension of Hyndman-Ullah model with adjusted FDA gives better fit compared to the unadjusted FDA.

Keywords: Functional Data Analysis; Hyndman-Ullah; Coherent Mortality Model


mailto:[email protected]




ID005

Some Statistics on Cardiogenic Shock Complicating ST-Elevation Myocardial Infarctions in Malaysian Patients PADMAA VENKATASONa, YONG ZULINA ZUBAIRIb , IMRAN

HAFIDZa & AHMAD SYADI ZUHDIa aCardiology Unit, University of Malaya Medical Centre, Kuala Lumpur, Malaysia

[email protected] bCentre for Foundation Studies in Science, University of Malaya, Kuala

Lumpur, Malaysia. [email protected]

ABSTRACT Cardiogenic shock (CS) complicating ST-elevation myocardial infarction (STEMI) carries an extremely high mortality. Its incidence and outcome in Malaysia has never been fully reported and hence unknown. A total of 16,517 STEMI patients were identified from the Malaysian National Cardiovascular Disease - Acute Coronary Syndrome database registry (NCVD-ACS) from year 2006 to 2013. Patients were divided into 2 groups: Cardiogenic Shock (Killip IV on presentation) and Non-Cardiogenic Shock (Killip I to III on presentation). Comparisons in clinical characteristics, in-hospital invasive/non-invasive therapy and mortality were made between the 2 groups. Multivariate adjustment and binary logistic regression were used to estimate the relative mortality risk ratios between the 2 groups and to identify clinical predictors of in-hospital mortality among the patients with CS. CS complicated 10.6% of all patients with STEMIs in our population. They had unfavorable premorbid conditions and poor outcomes. The in-hospital mortality rate was 34.1% and they were 7.14 times more likely (adjusted RR) to die than the patients without CS. Intravenous thrombolysis remained as the main urgent reperfusion modality. Percutaneous coronary interventions (PCI) were done in only 33.6% of CS cases. PCI conferred a 40% risk reduction over non-invasive therapy only. Predictors of in-hospital mortality for patients with CS were identified as age over 65, diabetes mellitus, hypertension, chronic lung and kidney disease. The mortality of CS complicating STEMI in Malaysia is high. Early in-hospital PCI confers a 40% mortality risk reduction in our population however the rate of PCI among patients with CS complicating STEMI is still low. Efforts are being made to increase access to invasive therapy for these patients. Keywords: Cardiogenic shock; myocardial infarction; percutaneous coronary intervention; mortality; acute coronary syndrome





ID006

On Approximation of the Concentration Parameter for von Mises Distribution

NOR HAFIZAH MOSLIMa, YONG ZULINA ZUBAIRIb, ABDUL GHAPOR HUSSINc & SITI FATIMAH HASSANd

aFaculty of Industrial Sciences & Technology, Universiti Malaysia Pahang, 26300 Gambang, Pahang

[email protected] a,b,dCentre for Foundation Studies in Science, University of Malaya, 50603 Kuala

Lumpur [email protected], [email protected]

cFaculty of Defence Sciences and Technology, National Defence University of Malaysia, Kem Sungai Besi, 57000 Kuala Lumpur

[email protected]

ABSTRACT The von Mises distribution is the ‘natural’ analogue on the circle of the Normal distribution on the real line and is widely used to describe circular variables. The distribution has two parameters, namely mean direction, 𝜇𝜇 and concentration parameter, κ. Solutions to the parameters, however, cannot be derived in the closed form. Noting the relationship of the κ to the size of sample, this study determines the suitable value of parameter κ to different values of sample size. The simulation study is carried out and Kolmogorov-Smirnov test is used to test the goodness of fit for three level of significance values. Keywords: von Mises, circular variable, Monte Carlo, concentration parameter







ID007

On Parameter Estimation of a Replicated Linear Functional Relationship Model for Circular Variables

NURKHAIRANY AMYRA MOKHTARa, YONG ZULINA ZUBAIRIb, ABDUL GHAPOR HUSSINc & ROSSITA MOHAMAD YUNUSd

a,c Faculty of Defence Sciences and Technology,National Defence University of Malaysia, Kem Sungai Besi, 57000 Kuala Lumpur, Malaysia

[email protected], [email protected] bCentre for Foundation Studies in Sciences, University of Malaya, 50603 Kuala

Lumpur, Malaysia [email protected]

dInstitute of Mathematical Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia

[email protected]

ABSTRACT

Replicated linear functional relationship model is often used to describe relationships between two circular variables where both variables have error terms and replicate observations are available. We derive the estimate of the rotation parameter of the model using the maximum likelihood method. The performance of the proposed method is studied through simulation, and it is found that the biasness of the estimates is small, thus implying the suitability of the method. Practical application of the method is illustrated by real data set.

Keywords: circular variables; parameter estimation; von Mises distribution







ID008

Some Numerical Methods and Comparisons for Solving Mathematical Model of Surface Decontamination by Clay

Solution CHAI JIN SIAN a, YEAK SU HOE b& ALI HASSAN MOHAMED

MURID c a,b,c Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi

Malaysia, 81310 Johor Bahru, Malaysia [email protected] , [email protected]

cUTM Centre for Industrial and Applied Mathematics (UTM-CIAM), Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, 81310 Johor

Bahru, Johor, Malaysia [email protected]

ABSTRACT A clay solution model was formulated by a group of mathematicians at MISG 2015 workshop in order to determine the effectiveness of clay solution for surface decontamination. The decontamination process involved the diffusion of bacteria into clay solution and the reaction of the clay killing effect. The mathematical model is therefore a reaction-diffusion type. Thus, finite difference method and method of lines with fourth-order Runge-Kutta method are utilized to solve the model numerically. To obtain stable solutions, von Neumann stability analysis is employed to evaluate the stability of finite difference method. For stiff problem, Dormand-Prince method is applied as the error estimate of fourth-order Runge-Kutta method. MATLAB programming is selected for the computation of numerical solutions. From the results obtained, fourth-order Runge-Kutta method has a larger stability region and better accuracy of solutions compared to finite difference method when solving the clay solution model. Moreover, a numerical simulation is carried out to investigate the effect of different thickness of clay solution on bacteria reduction. Results show that thick clay solution is able to reduce the dimensionless bacteria concentration more effectively.

Keywords: Reaction-diffusion; finite difference method; method of lines; von Neumann stability analysis; Dormand-Prince method






ID012

Extrapolated Symmetrized Runge-Kutta Methods in Solving Simple Harmonic Oscillations

ANNIE GORGEYa & NOR AZIAN MATb a,b Department of Mathematical, Faculty of Science and Technology, Universiti

Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia [email protected], [email protected]

ABSTRACT The study is to show the effect of extrapolation on the numerical solution of the symmetrized Runge-Kutta methods such as the symmetrized implicit midpoint rule (SIMR) and symmetrized 2-stage Gauss method (SG2). The efficiency between two modes of extrapolation; passive and active are compared. This study is done theoretically and numerically on the simple harmonic oscillator problem. The numerical experiments showed that active extrapolation is more advantageous than passive extrapolation although both modes of extrapolation of the symplectic methods are found to destroy the symplectic property when applied to this problem. Passive extrapolation is observed to show quadratic error growth for a short period of time while the active extrapolation is observed to show linear error growth for a much longer period of time. The behaviour of active extrapolation is also observed to give more stable solutions for long time interval. The symmetrized methods on the other although they are not symplectic nor symmetric they showed promising results in solving simple harmonic oscillations. The passive symmetrization is observed to perform better than the active symemtrization.

Keywords: symmetrized Runge-Kutta method; harmonic oscillator





ID013

Effect of Thermal Stratification on MHD Flow of Nanofluid in the Presence of Thermal Radiation and Electric Field

over a Stretching Sheet YAHAYA SHAGAIYA DANIEla, ZAINAL ABDUL AZIZb, ZUHAILA

ISMAILc & FAISAL SALAHd a,b,c Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi

Malaysia, 81310 Johor Bahru, Malaysia [email protected], [email protected], [email protected],

dDepartment of Mathematics, Faculty of Science, University of Kordofan, Elobid, 51111, Sudan.

[email protected]

ABSTRACT

In this paper, we analyze the effects of thermal radiation, chemical reaction, heat generation/absorption, magnetic and electric fields on unsteady natural convection flow and heat transfer due to nanofluid over a permeable stretching sheet. The transport equations incorporated into the analysis of the impact of Brownian motion and thermophoresis, and passively controlled boundary condition rather than actively, which is more realistic. The solution for the velocity, temperature, and nanoparticle concentration depends on the embedded parameters. A similarity solution is presented which transformed the governing equations from nonlinear partial differential equations to a couple of nonlinear ordinary differential equations. This system of the equation is solved numerically using Keller box method. Numerical results for the velocity, temperature, nanoparticle concentration, skin friction, and Nusselt number are achieved. It is found that the temperature is a decreasing function with the thermal stratification, while the electric field increases the temperature. A comparison with the previous investigation seen in the literature has been done and found to be in good agreement with them.

Keywords: thermal stratification; electrical field; thermal radiation; MHD; heat generation/absorption;







ID014

Risk Factors of Cardiovascular Disease Among ST Elevation Myocardial Infarction Male Patients in Malaysia

from 2006 to 2013 NURLIYANA JUHANa, ZARINA MOHD KHALIDa, YONG ZULINA ZUBAIRIb, AHMAD SYADI MAHMOOD ZUHDIc & WAN AZMAN

WAN AHMADc a Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi

Malaysia, 81310 Johor Bahru, Malaysia [email protected], [email protected]

b Centre for Foundation Studies in Science, University of Malaya, 50603 Kuala Lumpur, Malaysia

[email protected] c Department of Internal Medicine, University Malaya Medical Centre, 50603 Kuala

Lumpur, Malaysia [email protected]

ABSTRACT Cardiovascular diseases (CVDs) are the leading causes of death in Malaysia and globally. This study aimed to identify associated risk factors in cardiovascular disease among acute coronary syndrome (ACS) - ST elevation myocardial infarction (STEMI) male patients and obtain a feasible model to describe the data. A total of 16,673 STEMI male patients from 18 participating hospitals across Malaysia in the National Cardiovascular Disease Database-Acute Coronary Syndrome (NCVD-ACS) registry year 2006-2013 were analysed. Univariate analysis is conducted using a chi-square test. Significant variables from the univariate analysis are further analysed by a multivariate logistic analysis to identify the prognostic factors. Model selection procedure is based on the forward selection method. Statistical significance is considered if the p-value is less than 0.05. Distribution of the patients that majority of male patients are less than 60 years of age. The most prevalent risk factor for male patients is smoking (79.3%), followed by hypertension (54.9%) and diabetes mellitus (40.4%). The multivariate model of STEMI male patients consists of seven significant variables namely diabetes mellitus, hypertension, killip class, age, renal disease, percutaneous coronary intervention (PCI) and family history of CVD. At univariate level, this study is consistent with the findings from Malaysian National Health and Morbidity Survey (NHMS) where smoking and Malay ethnic are significant risk factors. After adjustment in multivariate logistic model, the risk factors for cardiovascular death among male patients are related to age, premorbid condition such as diabetes mellitus, hypertension and family history of CVD, clinical presentation such as killip class, type of treatment such as PCI, last but not least relevant comorbidity such as renal disease. Drastic efforts in the management of all risk factors in males are needed to improve adherence outcomes. Keywords: STEMI; cardiovascular; male, risk factor







ID015

A Review on Modeling and Control of Magnetorheological Fluid Dampers

AKBAR BANITALEBI, MOHD ISMAIL ABD AZIZ & ZAINAL ABDUL AZIZ

UTM Centre for Industrial and Applied Mathematics, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, UTM 81310,

Skudai, Johor, Malaysia [email protected], [email protected], [email protected]

ABSTRACT

Due to providing ride comfort and stability for drivers and passengers, the advent of Magneto-Rheological (MR) fluid dampers has moved the traditional vehicle suspension systems into a new era. The era of extraordinary sophistication and versatility that promises to reshape the modern automobile industry. Following the rapid researches on designing and utilizing MR fluid dampers, one of the concerning aspects is to develop models that can accurately describe their unique characteristics. This study presents a review on models of MR damper that can be used for vibration control of vehicle suspension.

Keywords: Magneto-rheological fluid dampers, Vehicle suspension systems, Vibration






ID016

Modelling of Non-Newtonian Blood Flow through a Bifurcated Artery with the Presence of an Overlapping

Stenosis NORLIZA MOHD ZAINa & ZUHAILA ISMAILb

a,b Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected]

ABSTRACT

In this current study, a mathematical modelling of non-Newtonian blood flow is developed by treating the blood as a generalized power law model. The presence of stenosis at parent’s arterial lumen has been accounted as an overlapping shaped geometry in two-dimensional Cartesian coordinate system. The streaming blood is assumed to be steady laminar flow, fully developed and incompressible which flowing through an arterial bifurcation. The whole channel wall is assumed as a rigid arterial wall with the no-slip condition imposed to it. To solve the governing equations numerically, a Galerkin weighted residual method is performed and a MATLAB code is developed for that purpose. To validate the code, a comparison has been made first with the results obtained from a numerical simulation by COMSOL Multiphysics software. From the obtained results, the effects on the blood flow characteristics such as the velocity profiles and the streamlines patterns are observed and discussed in details.

Keywords: generalized power law, bifurcated artery, overlapping stenosis, Galerkin weighted residual





ID017

Forecasting Model for Crude Oil Prices with Structural Break

NORSHELA MOHD NOH a, ARIFAH BAHARb & ZAITUL MARLIZAWATI ZAINUDDINc

a,b,c UTM Centre for Industrial and Applied Mathematics, Universiti Teknologi Malaysia, 81310 Johor Bharu Malaysia

a,b,c Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected], [email protected]

ABSTRACT

Nowadays, in unstable economic environment, oil refining company is facing fluctuating crude oil prices that causes unstable profit margin. Fluctuating crude oil prices lead to difficulty in forecasting raw material procurement followed by inefficient decision making in optimizing refining company’s profit margin. In order to overcome the difficulty in forecasting raw material procurement, an appropriate study of forecasting model is needed. Thus the objective of this study is to model and forecast fluctuating crude oil prices. In modeling crude oil prices, the existence of structural break is very important to know because it may exhibit long memory properties. In this study, we employ long memory test to West Texas Intermediate (WTI) daily data from 2nd January 1986 to 13th February 2017 using log periodogram regression of Geweke and Porter-Hudak (1983) and Bai and Perron test to find break date. The results indicate that crude oil prices have short memory with structural breaks. Using assumption that future prices are affected by today’s price, we model and forecast crude oil prices using geometric Brownian motion and mean reverting Ornstein-Uhlenbeck process for 14 days, 30 days and 6 months. Results show that forecasted crude oil prices are more accurate for short term using geometric Brownian motion compared to mean reverting Ornstein-Uhlenbeck process.

Keywords: forecast; crude oil prices; structural break; long memory; Markov process






ID018

Mixed Convection Boundary Layer Flow of a Viscoelastic Nanofluid Over a Heated and Cooled Circular Cylinder

RAHIMAH MAHATa, ABDUL RAHMAN MOHD KASSIMb & SHARIDAN SHAFIEc

a Universiti Kuala Lumpur Malaysian Institute of Industrial Technology, 81750 Johor Bahru, Johor.

[email protected] bFaculty of Industrial Sciences & Technology Universiti Malaysia Pahang, 26300

Gambang, Kuantan, Pahang, Malaysia. [email protected]

c Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia,

81310 Johor Bahru, Johor, Malaysia. [email protected], [email protected]

ABSTRACT The steady mixed convection boundary layer flow of a viscoelastic nanofluid over a horizontal circular cylinder is numerically studied for both cases of heated and cooled cylinders. Copper, Alumina and Titania in water based-fluid is considered with the Prandtl number Pr = 6.2. The governing partial differential equations are transformed into dimensionless forms using an appropriate transformation and then solved numerically using the Keller-box method. Numerical results obtained in the form of velocity distributions and temperature profiles are presented for a range of values of the dimensionless viscoelastic fluid parameter. Comparisons of the numerical results with previous studies are presented. The involved governing parameters are nanoparticle volume fraction parameterφ , mixed convection

parameter λ and viscoelastic parameter K . Keywords: viscoelastic fluid; nanofluid; boundary layer; mixed convection; circular cylinder







ID019

Determination of Critical Factors for Quality and Safety Management at Wood Based Furniture Industry

FATIN AMRINA A. RASHID a, JAFRI MOHD ROHANI b & KHIDZIR ZAKARIA c

a Department of Materials, Manufacturing & Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor,

Malaysia [email protected]

b Department of Materials, Manufacturing & Industrial Engineering, Faculty of Mechanical Engineering,

Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia [email protected]

c Department of Materials, Manufacturing & Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor,


ABSTRACT Total quality management and total safety management are two key factors that contribute to performance of an organization. As has been claimed by various researchers that there is significant relationship between total quality management and total safety management since they share similar components. Safety is claimed as a dimension of quality and by eliminating defects will also give effect to safety performance which the unsafe work practices is claimed by previous researchers will be removed in the same moments. The aim of this study is to identify factors to improve quality and safety performance by determining critical factors of total quality management and total safety management. Wood based furniture industry located at Muar and Melaka was selected as the area of research. A set of questionnaire was distributed to the stakeholders of selected companies to investigate their perception towards quality and safety management practices that affects quality and safety performance. The data collected is analysed by using factor analysis method. As a result, the finding of the research is a set of quality and safety management factors obtained that include management commitment, education and training, workers’ involvement, communication and feedback, systems, rules and procedures, work environment and culture, and promotion policies. These factors function as the key that affecting the quality and safety performance of an organization. These factors should be given special attention in order to improve the quality and safety performance of a company.

Keywords: safety management; quality management; factor analysis; integration of quality and safety management






ID020

An Analysis of Aircraft Taxiing Route FLORIDAH JELONa, JAFRI MOHD ROHANIb & ISTAS FAHRURAZI

NUSYIRWANc a,b Department of Materials, Manufacturing and Industrial Engineering, Faculty of

Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected] c Department of Ocean, Aeronautics and Automotive Engineering, Faculty of

Mechanical Engineering Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected]

ABSTRACT

The inefficiency of airport airside operation can lead the airport bottleneck transportation network. Due of that, it causes the inefficiency of airport taxiing operation and increase the total aircraft taxiing distance then lead to flight delay. This study discusses the descriptive analysis of aircraft departure and arrival taxiway, runway and gate assigned patterns among three airlines provider. The data of runway usage and gate assigned among three airlines providers for 2015 was collected at Kuala Lumpur International Airport (KLIA) and has been sorted using Mysql. The results show that during arrival activities, the most frequent runway usage for Airline 1 is Runway 32L, Airline 2 is Runway 33 and Airline 3 is Runway 33. For departure activities, the most frequent runway usage for Airline 1 is Runway 32R, Airline 2 is Runway 33 and Airline 3 is Runway 33. As a conclusion, the study shows the pattern of runway and gate usage, distribution of taxiway pattern among three airlines provider at KLIA. The finding of this study will be important to improve the airport airside operation and to reduce the flight delay as well as reduce the cost of operation.

Keywords: airside activity; runway pattern; departure and arrival; KLIA





ID021

Nonlinear Partial Differential Equations Model Related to Oxidation Pond Treatment System: A Case Study of

mPHO at Taman Timor Oxidation Pond, Johor AMIR S. A. HAMZAHa & ALI H. M. MURIDb

a,b Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia,

81310 Johor Bahru, Johor, Malaysia [email protected], [email protected]

b UTM Centre for Industrial and Applied Mathematics (UTM-CIAM), Ibnu Sina Institute for Scientific and Industrial Research (ISI-SIR), Universiti Teknologi

Malaysia, 81310 Johor Bahru, Johor, Malaysia

[email protected]

ABSTRACT

This study presents a mathematical model examining wastewater pollutant removal through an oxidation pond treatment system. This model was developed to describe the reaction between microbe-based product mPHO (comprising Phototrophic bacteria (PSB)), dissolved oxygen (DO) and pollutant namely chemical oxygen demand (COD). It consists of coupled advection-diffusion-reaction equations for the microorganism (PSB), DO and pollutant (COD) concentrations, respectively. The coupling of these equations occurred due to the reactions between PSB, DO and COD to produce harmless compounds. Since the model is nonlinear partial differential equations (PDEs), coupled, and dynamic, computational algorithm with a specific numerical method, which is implicit Crank-Nicolson method, was employed to simulate the dynamical behaviour of the system. Furthermore, numerical results revealed that the proposed model demonstrated high accuracy when compared to the experimental data.

Keywords: oxidation pond; nonlinear PDEs; PSB; implicit Crank-Nicolson.






ID023

Development of Radionuclide Dispersion Modeling Based on Gaussian Plume Model

SHAZMEEN DANIAR SHAMSUDDIN, NURLYANA OMAR & MENG-HOCK KOH

Department of Physics, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia


ABSTRACT

It has come to attention that Malaysia have been aiming to build its own nuclear power plant (NPP) for electricity generation in 2030 to diversify the national energy supply and resources. As part of the regulation to build a NPP, environmental risk assessment analysis which includes the atmospheric dispersion assessment has to be performed as required by the Malaysian Atomic Energy Licensing Board (AELB) prior to the commissioning process. The assessment is to investigate the dispersion of radioactive effluent from the NPP in the event of nuclear accident. This article will focus on current development of atmospheric dispersion modeling based on Gaussian Plume model. The code is written in Fortran and has been bench-marked to a commercial atmospheric software, HOTSPOT. The radionuclide release rate entering the Gaussian equation is approximated to the value found in the Fukushima NPP accident in 2011. Meteorological data of Manjung District, Perak of year 2013 is utilized for the calculations. The simulations results show that the dispersion of radionuclide effluent can travel as far as 80 km from the initial point of release and the maximum air concentration of 1.2 x 1012 Bq-sec / m3 is expected at 0.1 km from the release point. The results from our code are found to be in good agreement with the one obtained from HOTSPOT, with less than 1% discrepancy between the two.

Keywords: Gaussian plume mode; atmospheric dispersion; nuclear power plant accident; emergency response plan






ID024

A Comparison of Method for Treating Missing Daily Rainfall Data in Peninsular Malaysia

IZZAT FAKHRUDDIN KAMARUZAMAN a, WAN ZAWIAH WAN ZIN

b & NORATIQAH MOHD ARIFF c a,b,cSchool of Mathematical Sciences, Faculty of Science and Technology, Universiti

Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia

[email protected], [email protected], [email protected] aFaculty of Business, Multimedia University, Jalan Ayer Keroh Lama

75450 Melaka, Malaysia [email protected]

ABSTRACT This study modified a method for treating missing values in daily rainfall data from 104 selected rainfall stations covering four zones in Peninsular Malaysia which are Northwest, West, Southwest and East. The daily rainfall data were obtained from the Department of Irrigation and Drainage Malaysia (DID) for the periods of 1965 to 2015. The missing values throughout the 51 years period were estimated using the various types of weighting methods such as the inverse distance, modified correlation, combination correlation with inverse distance and the proposed method averaging correlation and inverse distance. In determining the best imputation method, three test for evaluating model performance has been used, namely the root mean square error (RMSE), mean square error (MAE) and correlation coefficient 𝑅𝑅. The findings of this study indicate that the proposed method is more efficient than the traditional method. However, the method may not work well when the correlation between target station and neighbouring stations are less than 0.4. The homogeneity of the data series was checked using the four types of homogeneity tests recommended by Wijngaard et al. (2003), namely, the standard normal homogeneity test, the Buishand range test, the Pettitt test, and the Von Neumann ratio test. There are about more than 40% rainfall station that are estimated using proposed method were homogenous for both variables which are annual rainfall and annual maximum. Keywords: Daily rainfall; imputation; inverse distance; homogeneity








ID026

Bootstrap Neural Network ARIMA (p,d,q) Model for Time Series Forecasting

MUHAMAD SAFIIH LOLAa, NURUL HILA ZAINUDDINb, MOHD NOR AFIQ MOHD RAMLEEc, MOHD FADLI HUSSINd & HIZIR

SOFYANe a,b,c,d School of Informatics and Applied Mathematics, UMT, 21030 Kuala Nerus,

Terengganu, Malaysia [email protected], [email protected], [email protected],

[email protected], aKenyir Research Institute, UMT, 21030 Kuala Nerus, Terengganu, Malaysia

[email protected] eStatistics Department, Syiah Kuala University, Banda Acheh, Indonesia

[email protected]

ABSTRACT

Accuracy is one of the important elements in forecasting time series model. Thus, in order to produce an accurate as well as efficient result, the bootstrap method is introduced in forecasting time series model. Unfortunately, the bootstrap method didn’t get any attentions from researcher in forecasting time series research. In order to improve the accuracy of forecasting results, researchers have favored using hybrid neural networks method with forecasting time series models such ARIMA, SARIMA models, etc., instead of using bootstrap method. The aim of this study is to develop hybrid forecasting models in order to produce accurate as well as efficient forecasting results compared to NN-ARIMA and ARIMA. Hence, to achieve our proposed model, a hybrid model of bootstrap method with neural networks auto-regressive integrated moving average (NN-ARIMA) models is proposed. We divide this study into two phases, i.e. phase I and phase II and develop R programming language, instead of using ready-made programming in existing software such as e-views, SPSS, etc. To investigate the performance of the proposed models, well-known real data sets, i.e. the Wolf’s sunspot data and the Malaysia/US dollar exchange rate are used. The empirical results revealed that our proposed models perform much better as compared to NN-ARIMA, ANNs and ARIMA models in terms of the performance as well as it percentage in both MAE and MSE for 35 points ahead and 64 points ahead. In addition, our proposed model also produces the prediction values closed to the actual values for both data sets. Thus, the proposed model can be used as the best alternative model for forecasting particularly when forecasting model needs high degree of accuracy in order to produce better forecasting results. Keywords: forecasting; accuracy; the bootstrap method; Neural Network; ARIMA; R programming.









ID027

Comparative Study on Maxwell and Navier Stokes Fluid Equations with Pressure Gradient Over a Flat Plate for

Convective Boundary Layer Flow and Heat Transfer AMBER NEHAN KASHIFa & ZAINAL ABDUL AZIZb

a,b Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

[email protected], [email protected] a,b UTM Centre for Industrial and Applied Mathematics, Ibnu Sina Institute for Scientific & Industrial Research

Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

ABSTRACT

In this article, Maxwell fluid over a flat plate for convective boundary layer flow with pressure gradient parameter is considered. The aim of this study is to compare and analyze the effects of the presence and absence of λ (relaxation time), and also the effects of m (pressure gradient parameter) and Pr (Prandtl number) on the momentum and thermal boundary layer thicknesses. An approximation technique namely Homotopy Perturbation Method (HPM) has been used with an implementation of Adam and Gear Method's algorithms. The obtained results have been compared for zero relaxation time and also pressure gradient parameter with the published work of Fathizadeh and Rashidi. The current outcomes are found to be in good agreement with the published results. Physical interpretations have been given for the effects of the m, Pr and β (Deborah number) with λ. This study will play an important role in industrial and engineering applications.

Keywords: Maxwell fluid equation; Navier Stokes equations; Pressure gradient; Relaxation time; Homotopy Perturbation Method (HPM); Adams Method (AM); Gear Method (GM)





ID028

Convergence Rate for the Method of Finding the Largest Eigenvalue of Nonnegative Polynomials

NUR FADHILAH IBRAHIM & NUR AZWANI ALIAS School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu,

21030 Kuala Terengganu, Malaysia [email protected], [email protected]

ABSTRACT Eigenvalue problem can be found in many fields such as aquatic conservation, ship structure and marine energy system. In 2014, an algorithm for finding the largest eigenvalue of nonnegative polynomials was introduced by Ibrahim. The method has been proven convergent but its rate of convergence has not been discussed in literature. In this paper we will show that the rate of convergence for the method is linear. Keywords: convergence rate; iterative method; eigenvalue; nonnegative polynomial





ID029

Model-Building using Multiple Binary Logit on Mortality of ICU Patients

KHUNESWARI GOPAL PILLAY & SITI AISYAH MOHD PADZIL Department of Mathematics and Statistics, Faculty of Science, Technology and

Human Development, Universiti Tun Hussein Onn Maalaysia, 86400 Parit Raja, Batu Pahat, Johor,

Malaysia [email protected], [email protected]

ABSTRACT Intensive Care Unit (ICU) is commonly associated with a high mortality rate because of its complexity of treatments. Although there were many researchers modelled mortality of ICU patients, but the study of statistical modelling on mortality of ICU patients often neglected the explanation on the model-building process. Hence, this research was interested to illustrate clearly the model-building process using Multiple Binary Logit (MBL) as well as to determine the factors that affect the mortality of ICU patients and also to predict the probability of mortality risk. The ICU patient’s data were retrieved from Hospital Sultanah Aminah Johor. The data comprises of five categorical variables (race, sex, organfail, comorbid and mecvent) and three continuous variables (age and SAPS II score in the ward (s2sadm) and during discharge (s2s disch)). Four phases of model-building which are all possible models, selected models, best model and goodness of fit test were carried out and the process was illustrated step by step. All possible models were considered up to second-order interaction. In order to obtain a set of selected models (with significant variables), a progressive elimination (one by one, least significant first) of the insignificant variables is employed. Model selection criteria AIC, corrected AIC (AICc) and BIC were used to determine the best model among the selected models. To ensure the best model validity and appropriateness, Pearson chi-square test and deviance chi-square test were conducted. The results showed that the factors affects the mortality of ICU patient’s in Johor are age, SAPS II score during discharge, mecvent and the interaction between age and SAPS II score during discharge. In conclusion, the study shows that the elderly patients have a greater risk of mortality after discharge from the hospital and SAPS II score provides a good indication in predicting hospital mortality.

Keywords: mortality; model-building; multiple binary logit; four phases; model selection criteria





ID030

Correlational Study of Air Pollution-Related Diseases (Asthma, Conjunctivitis and URTI) in Johor Bahru,

Malaysia ‘AAISHAH RADZIAH BINTI JAMALUDINa, FADHILAH YUSOFb ,

RAHMAH MOHD LOKOMANc, ZAINURA ZAINOON NOORd & NOR ELIZA ALIASe


d Centre for Environmental Sustainability and Water Security, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

eDepartment of Hydraulics and Hydrology, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia. [email protected] , [email protected] ,

[email protected], [email protected] & [email protected]

ABSTRACT Asthma, conjunctivitis and upper respiratory tract infection (URTI) are the common problems that significantly impair patient’s quality of life. Whether air pollution serves as a risk factor for the development of these diseases remains elusive. Therefore, in this study 3 pollution related diseases, namely asthma, conjunctivitis and URTI will be studied in terms of their trend, behaviour and their association with the influential factors such as air pollution parameter and climate variables. The association of these diseases with air pollution parameters such as Ground Level Ozone (GLO), Nitrogen Dioxide (NOX), Particulate matter (PM10), and Sulphur Dioxide (S02) and climate variables such as rainfall, relative humidity and temperature will be determined by Pearson correlation and Poisson regression model. The study found that asthma disease closely associated with NO2, PM10, and SO2, whereas conjunctivitis closely associated with PM10 and SO2 and URTI has close links with all the parameters of air pollution; GLO, NO2, PM10, and SO2. Climate change might be one of the influential factors that may cause the variation of the diseases and the results revealed that all diseases have a significant correlation with rainfall, temperature, and relative humidity. This study shows that PM10 is the most abundant source that contributes to asthma, conjunctivitis and URTI. Therefore, the local authorities such as the Department of Environment need to reinforce the laws in planning and monitoring the source of PM10 which comes from motor vehicles, dust from construction, landfills, agriculture, industrial sources and windblown dust from open lands. This piece of knowledge also hopefully can help the relevant authorities and health sector in planning the necessary precautionary system to the public regarding air pollution related diseases in Johor Bahru, Malaysia. Keywords: asthma; conjunctivitis; URTI, air pollution, Poisson regression model







ID031

Potential of Plotting Positions for Intensity-Duration-Frequency Curves with Short Rainfall Records

NORATIQAH MOHD ARIFF, ABDUL AZIZ JEMAIN & MOHD AFTAR ABU BAKAR

School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia,

43600 UKM Bangi, Selangor, Malaysia [email protected], [email protected], [email protected]

ABSTRACT Intensity-duration-frequency (IDF) curves represent the relationship between storm intensity, storm duration and return period. The IDF curves available are mostly done by fitting series of annual maximum rainfall intensity to parametric distributions. However, the lengths of annual rainfall records, especially for small scaled data, are not always enough. Rainfall records of less than 50 years are usually deemed insufficient to unequivocally identify the probability distribution of the annual rainfall. Thus, this study introduces an alternative approach that replaces the need for parametric fitting by using empirical distribution based on plotting positions to represent annual maximum rainfall series. Subsequently, these plotting positions are used to build IDF curves. The IDF curves found are then compared to the IDF curves yielded from the parametric GEV distribution which is a common basis for IDF curves. This study indicates that IDF curves obtained using plotting positions are similar to IDF curves found using GEV distribution for storm events.

Keywords: Intensity-duration-frequency (IDF); plotting positions; storm events; L-moments






ID032

Generalizations of DNA Splicing Systems with One Palindromic Restriction Enzyme

WAN HENG FONG & NURUL IZZATY ISMAIL Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi

Malaysia, 81310 UTM Johor Bahru, Malaysia


ABSTRACT In Deoxyribonucleic acid (DNA) splicing system, the potential effect of sets of restriction enzymes and a ligase that allow DNA molecules to be cleaved and re-associated to produce further molecules is modelled mathematically. This modelling is done in the framework of formal language theory, in which the nitrogen bases, nucleotides and restriction sites are modelled as alphabets, strings and rules respectively. The molecules resulting from a splicing system is depicted as the splicing language. In this research, the splicing languages resulting from DNA splicing systems with one palindromic restriction enzyme for one and two (non-overlapping) cutting sites are generalized as regular expressions. These generalizations provide the corresponding splicing languages theoretically, which depict the results from in vitro experiments which are often costly and time consuming.

Keywords: DNA; formal language theory; palindromic; restriction enzyme; splicing system





ID033

Parametric Estimation Methods for Bivariate Copula in Rainfall Application

RAHMAH BINTI MOHD LOKOMAN & FADHILAH YUSOF Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi

Malaysia, 81310 Johor Bahru, Malaysia


ABSTRACT

Hydrological phenomena such as drought, flood, and rainfall are one of the natural phenomena that often provide dependent multivariate variables. The correlation of the hydrologic dependent variables can be described by using copula. To determine a specified copula structure that fitted with the marginal variables, the copula dependence parameter needs to be estimated. This study focuses on the application of parametric approaches in estimating the copula dependence parameter. The performance of three parameter estimation methods namely, maximum likelihood (ML) estimation, inference function of margins (IFM), and maximization by parts (MBP) is compared in the simulation and empirical studies. For empirical study, 44 years (1970-2014) of daily rainfall at two rain gauge stations, Station Kuala Krai and Station Ulu Sekor are used. The correlation of the two stations is statistically significant at 0.4137. The simulation and empirical studies are limited to the case of bivariate copulas. The result from the simulation study shows that when the sample size is small (n < 1000), IFM performs better than MLE and MBP. While, when the sample size is large (n ≥ 1000), MBP performs better than MLE and IFM. The results from the empirical study also show that MBP performs better than MLE and IFM when the sample size is large and this is consistent with the result from the simulation study. Thus, in order to estimate a precise Copula dependence parameter, 𝜃𝜃 it can be concluded that for parametric approaches, IFM is preferred for small sample size and MBP is preferred for larger sample size. The results obtained in this study highlight the importance of estimating the dependence structure of the hydrological data. By using the fitted copula, Malaysian Meteorological Department will able to generate hydrological events for a system performance analysis such as flood and drought control system.

Keywords: bivariate copula; maximum likelihood; inference function of margins; maximization by parts; rainfall





ID034

Solution for Nonlinear Duffing Oscillator using Variable Order Variable Stepsize Block Method

AHMAD FADLY NURULLAH RASEDEEa, MOHAMMAD HASAN ABDUL SATHARb, NORIZARINA ISHAKc, HAZIZAH MOHD IJAM d

MOHAMED SULEIMANe & ZARINA BIBI IBRAHIMf a Faculty of Economics and Muamalat, Islamic Science University of Malaysia,

78100 Nilai, Negeri Sembilan, Malaysia [email protected]

b Centre of Foundation Studies for Agricultural Science, Putra University of Malaysia,

43400 Serdang, Selangor, Malaysia [email protected]

c Faculty of Science and Technology, Islamic Science University of Malaysia, 78100 Nilai, Negeri Sembilan, Malaysia

[email protected] d,e,f Institute for Mathematical Research, Putra University of Malaysia,

43400 Serdang, Selangor, Malaysia [email protected], [email protected]

ABSTRACT Real life phenomena found in various fields such as engineering, physics, biology and communication theory can be modeled as nonlinear higher order ordinary differential equations, particularly the Duffing oscillator. Analytical solutions for these differential equations can be time consuming whereas, conventional numerical solutions may lack accuracy. In this research, we propose a block multistep method integrated with a variable order step size (VOS) algorithm for solving these Duffing oscillators directly. The proposed VOS Block method provides an alternative numerical solution by reducing computational cost (time) but without loss of accuracy. Numerical simulations are compared with known exact solutions for proof of accuracy and against current numerical methods for proof of efficiency (time taken).

Keywords: Duffing oscillator; multistep method; ordinary differential equations








ID035

Dynamical Behaviours of Prey-Predator Fishery Model with Harvesting Affected by Toxic Substances

ANG TAU KEONG, HAMIZAH M SAFUAN & KAVIKUMAR JACOB Department of Mathematics and Statistics, Faculty of Science, Technology and

Human Development Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Johor, Malaysia [email protected], [email protected], [email protected]

ABSTRACT In this paper we consider a harvesting model of predator-prey fishery in which the prey is directly infected by some external toxic substances. The toxic infection is indirectly transmitted to the predator during the feeding process. The model is a modified version from the classic Lotka-Volterra predator-prey model. The stability and bifurcation analyses are addressed. Numerical simulations of the model are performed and bifurcation diagrams are studied to investigate the dynamical behaviours between the predator and the prey. The effects of toxicity and harvesting on the stability of steady states found in the model are discussed.

Keywords: harvesting; fishery; toxicant; predator; prey






ID036

Quality Control for Bull Semen in Malaysia ARIFAH BAHARa, ZAINAL ABDUL AZIZb, MOHD SHAHIR

SHAMSIR OMARc, ZAITUL MARLIZAWATI ZAINUDDINd & NORHAIZA AHMADe

a,b,d UTM Centre for Industrial and Applied Mathematics, Ibnu Sina Institute for Scientific and Industrial Research

Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia [email protected], [email protected], [email protected]

c Department of Biosciences and Health Sciences, Faculty of Biosciences and Medical Engineering

Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia [email protected]

a,b,d,e Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

[email protected]

ABSTRACT Quality control (QC) of the semen is the main factor that contributes to the successful process of fertilization. However, it is still a huge challenge in managing QC for Malaysian semen production centres (MSPCs) supplying bull semen to breeders and State Department of Veterinary (SDV). MSPCs are moving away from subjective semen assessment that is largely uncorrelated to field fertility, to objective semen analyses that incorporate computer assisted sperm analysis (CASA). CASA is a powerful tool for the objective assessment of sperm motility and is now frequently used for evaluating semen quality but yet not routinely practiced in the industry of bull semen quality in Malaysia. A quantitative analysis (QA) approach to semen analysis using a combination of CASA and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method can provide MSPCs with an improved QC for bull semen production. This paper describes how this QA approach could be applied in MSPCs to establish QC procedures of bull semen production before the release of the product in the field. Keywords: Quality control; quantitative analysis; CASA; TOPSIS; bull semen








ID037

Approximate Analytical Solution of the MHD Powell-Eyring Fluid Flow near Accelerated Plate

FAWZIA MANSOUR ELNIELa, ZAINAL ABDUL AZIZb, FAISAL SALAHc & SHAYMAA MUSTAFAd

a,b,d UTM Centre for Industrial and Applied Mathematics, Ibnu Sina Institute for Scientific and Industrial Research


a,b,d Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

c Department of Mathematics, Faculty of Science, University of Kordofan, Elobid, 51111, Sudan

[email protected]

ABSTRACT

In this article, the non-linear equation of unsteady state flow of magnetohydrodynamic (MHD) Powell-Eyring fluid is solved by using Adomian Decomposition Method (ADM). The fluid is assumed to be flowing under the effect of MHD field. Both cases of constant and accelerated plate are examined. The results of the proposed model are compared with previous result carried out by using Homotopy Perturbation Method (HPM). Additionally, the proposed results are compared with a numerical solution that is obtained by using Mathematica solver NDSolve. Graphically, it is shown that both solutions are having almost the same behaviour. Sensitivity analysis is conducted to highlight the importance of the influence of the different non-Newtonian parameters on the velocity profile. Keywords: Powell-Eyring fluid; non-linear equations; Adomian Decomposition Method (ADM)







ID038

Modelling the Effect of Hydraulic Conductivity on One Dimensional Contaminant Transport in RBF System

SHAYMAA MUSTAFAa, ZAINAL ABDUL AZIZb, ARIFAH BAHARc & MOHD KHAIRUL NIZAR SHAMSUDDINd

a,b,c UTM Centre for Industrial and Applied Mathematics, Ibnu Sina Institute for Scientific & Industrial Research


a,b,c Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

d National Hydraulics Research Institute Malaysia (NAHRIM), Lot 5377, Jalan Putra Permai,

43300 Seri Kembangan, Selangor, Malaysia [email protected]

ABSTRACT Riverbank filtration (RBF) is a surface water technology that is based on the natural treatment of filtration instead of the use of chemicals, to pre-treat surface water and provides public water supplies. Hydraulic conductivity value is one of the significant factors affecting the water quality in RBF systems. In this article, an analytical modelling is developed to investigate the effect of this parameter on one dimensional contaminant transport in RBF system. The model is solved by using Green’s function method approach. The model is applied for the first RBF system conducted in Malaysia. Generally, the results show that the increase of hydraulic conductivity value leads to an increase in contaminant concentration in pumping well area. Keywords: analytical modelling; hydraulic conductivity; riverbank filtration systems







ID039

Extreme Modelling of Missing Acacia Mangium Height Data

MOHD BAKRI ADAMa, NORAZMAN NORDINb & MOHAMMAD ROSLAN MOHAMAD KASIMc

a Institute of Mathematical Research, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia

[email protected] b KPJ Healthcare University College, Malaysia

[email protected] c Faculty of Forestry, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor,


ABSTRACT Logging activity is one of the most important activities for tropical countries including Malaysia, as it produces quality trees for papers. One of the important tree species is the Acacia Mangium which produces a soft tree for papermaking enterprises. The papers are exported to several European countries which have high demand for paper due to the rapid development of the printing industry. Thus we analyze the height for individual trees. We have investigated the maximum height of the trees from 1990 to 2006 and then used Extreme Value Theory to fit data into extreme value model. Some of the data are missing and three imputation methods have been taken to solve this problem. Keywords: Acacia Mangium height; extreme value theory; imputation






ID040

Determinants of Electricity Consumption for Asean Countries

MOHD TAHIR ISMAIL, NADHILAH MAHMUD & ROSMANJAWATI ABDUL RAHMAN

School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia


ABSTRACT As the economy expands, the use of electricity also increases from year to year. Thus, it is important to identify the factors that contribute to electricity consumptions (EC). This study investigates the short-run, long-run and causal relationship between seven members of ASEAN countries electricity consumption and some other determinants using vector autoregression (VAR) framework for the period from 1980 to 2013. The results show that the effect of the chosen determinants is different among the seven countries. It reveals that a unidirectional causality running from Gross Domestic product (GDP) to EC in Singapore and Thailand, a unidirectional causality running from carbon dioxide (CO2) emissions to EC in Indonesia and Thailand, EC Granger causes CO2 emissions in Malaysia, while a bidirectional causality between EC and CO2 emissions in Vietnam. In addition, the variance decomposition finds that the fluctuations of EC in Indonesia, Malaysia, Philippines and Singapore are accounted by their own shock in the long-run.

Keywords: electricity consumption; VAR; Granger causality; variance decomposition






ID041

Detection of VOCs from Ganoderma boninense Infected Oil Palm Tissue

ARIFAH BAHARa, NORHAIZA AHMADb, ZAINAL ABDUL AZIZc, SHAJARAHTUNNUR JAMILd, ZAHARAH IBRAHIMe & ZAITUL

MARLIZAWATI ZAINUDDINf a,c,f UTM Centre for Industrial and Applied Mathematics, Ibnu Sina Institute for

Industrial and Scientific Research Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia [email protected], [email protected], [email protected]

a,b,f Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected] dDepartment of Chemistry, Faculty of Science, Universiti Teknologi Malaysia,

81310 Johor Bahru, Malaysia [email protected]

eDepartment of Biosciences and Health Sciences, Faculty of Biosciences & Medical Engineering,

Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia [email protected]

ABSTRACT Agri-Diagostics Sdn. Bhd. (Agri-D) uses zNOSE™ from Electronic Sensor Technologies Inc. to detect specific volatile organic compounds (VOCs). The zNOSE combines standard Gas Chromatography (GC) with a proprietary Surface Acoustic Waves (SAW) technology to deliver a near real-time and highly sensitive sensor. Agri-D is in the process of confirming VOCs that can indicate the presence of Ganoderma infection in oil palms.. This study was conducted on 47 trees consisting of 188 points of inspection and 18 VOCs that were statistically analysed. Based on principal component analysis (PCA), biplots from selected principal components appear to indicate that severely infected trees (Status 3) could be easily distinguished from trees that are healthy (Status 1) and those that are infected without fruiting body (Status 2). In addition, PLS-DA (partial least squares – discriminant analysis) is also carried out to determine the percentage of detection accuracy. It is chosen because the response variable (Status 1-3) is categorical. Based on PLS-DA plot, it seems that most of the VOCs that contribute to Status 1 includes those of 5-(hydroxymethyl)-2-furancarboxaldehyde, 2-propylthiophene and 4H-pyran-4-one. None of the VOCs seemed to have any influence on Status 2. The accuracy of the model was 61.2%. Keywords: Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), Ganoderma boninense (G.b), Volatile Organic Compounds (VOC).









ID042

Some Numerical Methods for Solving Geodesic Active Contour Model on Image Segmentation Process

MAIZATUL NADIRAH MUSTAFFAa, NORMA ALIASb & FARIDAH MUSTAPHAc

a,c Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected] bCenter for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and

Industrial Research, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

[email protected]

ABSTRACT

In this paper we present an edge-based image segmentation technique using modified geodesic active contour model. Our main objective is to detect the desired objects from an image. The stopping function of the proposed model has been modified from the usual geodesic active contour model. This stopping function is not only defined by the image gradient but it is also depends on the image edge and color information of the desired objects. As a result, our geodesic active contour model can detect the desired objects without unwanted objects. The modified geodesic active contour model is discretized using finite difference method based on the central difference formula. Then, some numerical methods such as RBGS and Jacobi methods are used for solving the linear system of equation. The accuracy and effectiveness of the proposed algorithm has been illustrated by applied to different images and some numerical methods. The result shows that our algorithm is very efficient for segmenting desired object of an image.

Keywords: image segmentation; color; geodesic active contour; numerical methods






ID043

Performance of Isogeometric Analysis on Plane Stress Structure

CHUM ZHI XIANa, MOHD RIDZA BIN MOHD HANIFFAHb & AHMAD RAZIN BIN ZAINAL ABIDINc

a,b,c Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected] b,c UTM Centre for Industrial and Applied Mathematics, Ibnu Sina Institute for

Scientific and Industrial Research Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

ABSTRACT The main shortcoming of current technology and engineering process in construction industry is when designers have to generate drawings using computer aided design (CAD) and then translated by engineers into analysis-suitable geometries, meshed and input to large-scale numerical analysis codes. This reflects the existence of communication gap between CAD and computer aided engineering (CAE). As such, many research have been conducted to apply Isogeometric Analysis (IGA) instead of the current Finite Element Method (FEM) in CAE. The aim of this study is to assess the performance of IGA against FEM for plane stress structure. The main difference between these two numerical techniques is the formation of shape functions. Differential equations of simple rectangular plane stress problem are first derived and discretized using both IGA and FEM. Emphasis is put on the formulation of IGA which uses Non-Uniform Rational B-Splines (NURBS) as the shape function as compared to FEM that adopts polynomial interpolation function. Performance study on IGA is carried out by comparing the convergence rate of the solution against FEM and its accuracy with regards to h-refinement, p-refinement and k-refinement. From the results of this study, the convergence of IGA is comparable to conventional FEM and the error is small against exact solution. Although the computational cost to solve problem in IGA is higher than FEM, engineers could reduce time and possible error in translating CAD into analysis-suitable geometries in CAE.

Keywords: Plane stress; Finite element method; NURBS; Isogeometric analysis





ID044

Simulation of Aqueous Humour Flows and Deformation of DMD in a Three-Dimensional Anterior Chamber

ZUHAILA ISMAILa, LIM YEOU JIANNb, SABARUDDIN AHMAD JAMALIc & ALISTAIR FITTd


[email protected], [email protected], [email protected] d Faculty of Technology, Design and Environment, Oxford Brookes University

Headington Campus, Gipsy Lane, Oxford, OX3 OBP, United Kingdom

[email protected]

ABSTRACT

This paper presents the interaction between the aqueous humour (AH) flows and the deformation of Descemet membrane detachment (DMD) in a 3D anterior chamber (AC). Arbitrary Lagrangian Eulerian (ALE) method is used to model the problem. Finite element method using COMSOL Multiphysics software is adopted to solve the governing equations for the AH flows and the deformation of DMD. The fluid flow behaviour and the deformation of the detached Descemet membrane are analysed in order to comprehend the progression of the DMD in the AC due to the AH flows and vice versa. The re-attachment or re-detachment of the DMD is significantly affected by the AH flows. Advance treatment for the DMD can be developed based on a better understanding of the interaction between the AH flows and the DMD.

Keywords: aqueous humour; Descemet membrane detachment; arbitrary Lagrangian Eulerian







ID045

Sensitive Dependence on Initial Conditions for an Example of Markov Maps: Skewed Doubling Map

UMMU ’ATIQAH MOHD ROSLAN School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu

21030 Kuala Nerus, Terengganu, Malaysia [email protected]

ABSTRACT Markov map can be used to study the long-term behavior of a discrete-time process such as in finance, economics and population processes. Markov map is one example of interval maps where it is a piecewise expanding map and obeys the Markov property. One well-known example of Markov map is the doubling map, a map which has two subintervals with equal partitions. In this paper, we are interested to investigate another type of Markov map, the so-called skewed doubling map. This map is a more generalized map than the doubling map. Thus, the aims of this project are to find the fixed points as well as the periodic points for the skewed doubling map and to investigate the sensitive dependence on initial conditions of this map. The method considered here is the cobweb diagram. Our numerical results suggest that there exist dense of periodic orbits for this map. We also verify the sensitivity of this map to initial conditions where small differences in initial conditions give different effects of the behaviour of the orbits in the map.

Keywords: Markov map; skewed doubling map; sensitive dependence on initial conditions




ID046

Optimal Forwarding Probability in Vehicular Location Prediction Handoff Algorithm

SHARIFAH H. S. ARIFFINa, ARFAH A. HASBOLLAHb & NURZAL E. GHAZALIc

a, c Department of Communication Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected] b Department of Electrical Engineering, Politeknik Ibrahim Sultan, 81700 Johor

Bahru, Malaysia [email protected]

ABSTRACT Global mobile data traffic is growing tremendously over the past few years with the boost of smart electronic devices that are connected to the internet. The demand for seamless internet connectivity had increase the need to provide broadband mobile wireless communication even in a fast moving vehicle. To overcome the growth of the connected wireless mobile devices is the deployment of small cell in dense heterogeneity network. This paper presents Vehicular Location Prediction (VLP) algorithm using Markov Chain to predict user’s movement in a certain environment. The prediction accuracy using VLP shows 30% improvement compared to Behaviour-based Prediction (HBP) technique and 10% improvement from Location Prediction using Kalman Filter (LPKF). However, the implementation of VLP in A2A4 algorithm which is called VLP-HA (handoff algorithm), resulting negative spikes in the throughput every time the mobile device experience handoffs. To overcome this problem Optimal forwarding probability is adopted in VLP-HA and proves to provide better throughput compared to the existing method.

Keywords: handoff management; mobility prediction; Markov chain, optimal forwarding probability






ID047

Mathematical Modeling for Control Released Fertilizer RADZUAN BIN RAZALI & SYED AMEENUDDIN IRFAN

Department of Fundamental and Applied Sciences , Universiti Teknologi PETRONAS, 32610 Tronoh, Perak, Malaysia


ABSTRACT

Controlled release fertilizers (CRFs) are essential for sustainable agriculture system. CRFs are designed to maintain the constant release rate of nutrients, to increase the plant uptake of nutrients, which reduces the soil pollution and decreases the crop expenditure. In the literature, many studies have been done for considering the molecular diffusion as the only phenomenon for nutrient release from CRFs. Most of the CRFs contain NPK as the nutrient. The release of NPK depends on molecular diffusion which is expressed by Fick’s second law of diffusion and ionic diffusion, due to the electrolytic behavior of NPK in soil. Previous studies in the literature have employed numerical methods such as two-level finite explicit, Crank-Nicholson method to solve the ionic and molecular diffusion model to study the nutrient release profiles. In this work, an analytical solution is presented using modified Adomian decomposition method. The obtained solution helped to find the effect of granule radius, nutrient release rate, pH of the soil and temperature of the soil on the nutrient release profiles. The obtained results are compared with the experimental, and it was found that simulation results are in good agreement with experimental results. This in-depth information of nutrient release helps in designing of improved CRFs to achieve maximum plant nutrient uptake.

Keywords: mathematical modeling; control released fertilizer; Adomian decomposition method





ID048

Numerical Simulation of non-Newtonian Blood Flow in a 3D Stenosed Bifurcated Artery

NORMAZNI ABDULLAHa , AZIM AZAHARIb & ZUHAILA ISMAILc a,b Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia


ABSTRACT

The present study investigates the behaviour of blood flow through a stenosed bifurcated artery. The geometry of the bifurcated artery is in the presence of a single mild stenosis in the parent artery. The flow dynamics is defined according to the incompressible, steady Navier-Stokes equations for non-Newtonian fluids. Numerical simulation is performed using COMSOL Multiphysics that based on Finite Element Method (FEM). The numerical simulation results show that the flow characteristics of blood such as the axial velocity profile is significantly affected by the severity of stenosis. Analysis of the streamlines patterns for stenosed bifurcated artery for different severity of stenosis exhibit flow recirculation zone near the stenotic wall upstream and daughter artery. Keywords: Non-Newtonian; Stenosis; Bifurcated artery





ID049

Solar Radiation Forecasting using a Hybrid SARIMA and ANN Method

MUHAMMAD ZILLULLAH MUKARAMa & FADHILAH YUSOFb

a,bDepartment of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

[email protected], [email protected] bClimate Change Research Group, Universiti Teknologi Malaysia, 81310 Johor

Bahru, Johor, Malaysia [email protected]

ABSTRACT Solar energy has an enormous potential for generating renewable electricity. In the tropics solar energy are abundance all year long but suffer from uncertainty caused by rain and clouds. Accurate prediction of solar radiation can increase the effectiveness and productivity of solar energy sources. Monthly average of solar radiation data are obtained from stations in Johor Malaysia. The data are modelled using the Seasonal Autoregressive Integrated Moving Average (SARIMA) model, artificial neural network (ANN) model and Hybrid ANN and SARIMA model. The SARIMA model is a reliable tool in forecasting seasonal data, on the other hand the ANN model have been proven to be a good model in forecasting non-linear data. By combining both models, a more accurate model can be obtained. Finally the forecasting performance each model is compared by using mean absolute error (MAE), the mean absolute percentage error (MAPE) and root mean square error (RMSE). The result shows that the hybrid model is better in forecasting solar radiation data.

Keywords: SARIMA; ANN; hybrid model; solar radiation; forecasting




ID050

Constructing Material and Social Deprivation Index in Setiu Wetlands: Factor Analysis

SYERRINA ZAKARIA & NG QIN HWEI School of Informatics and Applied Mathematics,

Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu [email protected], [email protected]

ABSTRACT Deprivation index is usually used in public health study. At the same time, deprivation index can also be used to measure the level of deprivation in an area or a village. These indices are also referred as the index of inequalities or disadvantage. There are many indices that have been built before. However, it is believed to be less appropriate to use the existing indices to be applied in other countries or areas which have different socio-economic conditions and different geographical characteristics. The objective of this study is to construct the material and social deprivation index based on the socio-economic factors in Setiu Wetlands (Jajaran Merang, Jajaran Setiu and Jajaran Kuala Besut) in Terengganu Malaysia which is defined as weighted material and social deprivation index. This study has employed the material and social variables from 64 villages in Setiu Wetlands with 1024 respondents. The factor analysis is used to extract the latent variables or observed variables into smaller amount of components or factors. By using factor analysis, several factors are extracted. Based on the result, the areas with a lower index values until high index values were identified. According to the computed deprivation index, government should take some actions or establish some policies to develop the most deprive village and improve their standard of living in order to improve the standard of living in Setiu Wetlands.

Keywords: material deprivation; social deprivation; factor analysis





ID051

Two Stage Portfolio Selection and Optimization Model with The Hybrid Particle Swarm Optimization

KASHIF BIN ZAHEERa, MOHD ISMAIL BIN ABD AZIZb, AMBER NEHAN KASHIFc & SYED MUHAMMAD MURSHID RAZAd

a,b,c Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia a,c,d Department of Mathematical Sciences, Faculty of Science

Federal Urdu University of Arts, Sciences & Technology, Karachi, Pakistan. [email protected], [email protected], [email protected],

[email protected]

ABSTRACT

The selection criteria play an important role in the portfolio optimization using any ratio model. In this paper, the authors have considered the mean return as profit and variance of return as risk on the asset return as selection criteria, as the first stage to optimize the selected portfolio. Furthermore, the sharp ratio has been considered to be the optimization ratio model. In this regard, the historical data taken from Shanghai Stock Exchange (SSE) has been considered. A metaheuristic technique has been developed, with financial tool box available in MATLAB and the Particle Swarm Optimization (PSO) algorithm. Hence, called as the Hybrid Particle Swarm Optimization (HPSO) or can also be called as Financial Tool Box Particle Swarm Optimization (FTB-PSO). In this model, the budgets as constrained, where as two different models i.e. with and without short sale, have been considered. The obtained results have been compared with the existing literature and the proposed technique is found to be optimum and better in terms of profit. Keywords: portfolio optimization; profit; risk; stock exchange; Hybrid Particle Swarm Optimization (HPSO); Financial Tool Box Particle Swarm Optimization (FTB-PSO); Sharp Ratio (SR)







ID052

Forecasting of Currency Inflow and Outflow in Bank Indonesia Based on Quantile Regression Neural Network

Model AGNES ONA BLITI PUKA, SUHARTONO & DEDY DWI PRASTYO

Institut Teknologi Sepuluh Nopember, Statistics Department, Surabaya 60111, Indonesia


ABSTRACT Some problems that are often found in time series forecasting are nonlinearity and heteroscedasticity. Methods to analyze these problems including neural network and quantiles regression. There is a lot of research and development on both methods, but research on performance comparison of the hybrid of both methods in solving the real case is still very limited. Therefore, this study performs a comparison between hybrid Quantiles Regression Neural Network (QRNN) method and ARIMAX method. Both methods used in the case study of currency inflow and outflow data in Bank Indonesia. The best method is determined by the smallest Root Mean Square Error (RMSE) and Median Absolute Error (MdAE) criterion. Based on the case study, hybrid QRNN method resulted in the RMSE inflow of 236.159 and RMSE outflow of 350.569, while the MdAE inflow of 42.046 and MdAE outflow was 52.252. ARIMAX method resulted in the RMSE inflow of 152.283 and RMSE outflow of 128.796, while the MdAE inflow of 69.196 and MdAE outflow of 101.682. These results show that hybrid QRNN method provides better forecasting performance than ARIMAX method.

Keywords: time series regression; ARIMAX; neural network; QRNN







ID053

Queuing System Effectiveness at School Cooperative AHMAD RIDHUAN HAMDAN & RUZANA ISHAK

Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia


ABSTRACT Queuing Theory is a branch of knowledge in operation research concerning the analysis of queues when a customer arrives at a service centre and has to queue in a line to get some service. The theory pays attention to how organizations can serve a number of customers who demand service and a queue of customers waiting to be served. Owners especially store owners that have to attend to large numbers of customers at a time have attempted to measure and manage queues to quicken the customer procession, increase sales and profit, increase productivity and operation efficiency, increase satisfaction levels and increase customer loyalty in using the service provided. In line to the situation, this study is to determine the effectiveness of the waiting line using Queuing Theory at school cooperative. To date, there appears to be no research conducted about school cooperatives to observe and solve the massive inflow of customers at lines at a given time especially during recess. The purposes of this study are to determine the customers’ congestion at the payment counter and to propose the effectiveness of queuing system. Waiting and services times of student at school cooperative is studied in 3 times period that we consider as peak hours in two types of counter which are for boy’s and girl’s. From the data collection, we observed it using queuing theory and M/M/1/∞/∞ queuing model is implemented. The results show that for optimum service level, the counter must be changed from one to two counter each side. The summary and finding of the study shall be used as guideline for the management of school cooperative in deciding improvement of its operation.

Keywords: queuing theory; queuing system; queue system performance parameter





ID054

MHD Effect on Unsteady Mixed Convection Boundary Layer Flow Past a Circular Cylinder in Nanofluid with

Constant Wall Temperature MOHAMAD ALIF ISMAILa, NURUL FARAHAIN MOHAMMADb &

SHARIDAN SHAFIEc a,c Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected] bDepartment of Computational and Theoretical Sciences, Kulliyyah of Sciences

International Islamic University Malaysia, 25200 Kuantan, Malaysia [email protected]

ABSTRACT The transient mixed convection boundary layer flow of nanofluid past a circular cylinder with the effect of magnetohydrodynamic(MHD) is studied. The mathematical model is developed and then reduced into dimensionless equation using appropriate dimensionless variables. The dimensionless equations are transformed using similarity transformation that is divided by two section which is small and large time cases. Then, all equations are linearized by using Newton method. The system of equation is solved numerically by using Keller-box method. The solutions of velocity and temperature profiles are presented graphically and shown in table with various values of volume fraction parameter, mixed convection parameter, separation times, magnetic parameter M, and Prandtl number. Three different types of nanoparticles Al2O3, Cu, and TiO2, are used and water is chosen as base fluid. The results show that volume fraction affected the heat-transfer rate, and skin friction coefficient. This study also shows that nanofluid affected the separation times which decelerated the flow.

Keywords: boundary layer; magnetohydrodynamic; flow separation, nanofluid






ID055

Aligned MHD Free Convection of Ferrofluids with Convective Surface Boundary Condition over an Inclined

Plate MOHD RIJAL ILIASa, NORAIHAN AFIQAH RAWIb & SHARIDAN

SHAFIEc a,cDepartment of Mathematical Sciences, Faculty of Science

Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia [email protected] , [email protected] , [email protected]

aFaculty of Computer and Mathematical Sciences Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

[email protected]

ABSTRACT The aligned magnetohydrodynamic (MHD) free convection laminar boundary layer flow with heat transfer of an electrically conducting Fe3O4-water and Fe3O4-kerosene based ferrofluids over an inclined plate with convective boundary condition is investigated numerically. The governing partial differential equations are transformed into coupled nonlinear ordinary differential equation by using suitable similarity transformations. The transformed equations are then solved numerically using well known explicit finite difference scheme known as the Keller Box method. A detailed parametric study is performed for different values of physical parameters and the effect of all these parameters over the flow field and temperature are discussed by means of graphs. The numerical values of skin friction coefficient and rate of heat transfer for various values of physical parameters are also obtained and are tabulated. Comparison with previously published results is presented and it is found to be in excellent agreement. It is found that the temperature rises and the thermal boundary layer thickens with an increase in the Biot number and nanoparticle volume fraction parameters. It is also noticed that magnetic and Biot number parameters influence fluid velocity and temperature significantly.

Keywords: inclined plate; MHD; free convection; nanofluid







ID056

Survival Analysis of Companies’ Delisting Time in Indonesian Stock Exchange Using Bayesian Multiple-period

Logit Approach TITIS MIRANTI, NUR IRIAWAN & DEDY DWI PRASTYOc

Institut Teknologi Sepuluh Nopember, Statistics Department, Surabaya 60111, Indonesia


ABSTRACT Survival analysis can be used to calculate the probability of delisted companies from Stock Exchange. The survival analysis with static approach may produce inappropriate results, particularly when the covariates changing with time. One of the discrete approaches of survival analysis with time dependent covariates is multiple-period logit model which is equivalent to hazard model. In this work the parameters of in the multiple-period logit are regarded as random variables, therefor the Bayesian comes into play. There are three prior distributions used, i.e. improper uniform distribution, multivariate normal distribution, and Cauchy distribution. Criterion used to evaluate the performance of the proposed model is C-index applied on delisting time of companies in Indonesian Stock Exchange. The covariates of the model are financial ratios calculated from quarterly financial report of companies in manufacturing sector from the first quarter of 1990 to third quarter of 2015. The most appropriate prior is multivariate normal distribution that produces highest c-index compare to other prior. Moreover, the proposed model is applied on windowing data.

Keywords: Survival Analysis; Delisting; Multiple-period Logit; Bayesian Approach; windowing




ID057

Rainfall, Evapotranspiration and Rainfall Deficit Trend in Alor Setar, Malaysia

AIMI ATHIRAH AHMADa,b, FADHILAH YUSOFb & MUHAMAD RADZALI MISPANc

aEconomic and Social Sciences Research Centre, Malaysian Agriculture Research and Development Institute, 43400 Serdang Selangor

[email protected] bDepartment of Mathematical Sciences, Universiti Teknologi Malaysia, 81310,

Johor Bahru [email protected]

cAgrobiodiversity and Environment Research Centre, Malaysian Agriculture Research and Development Institute, 43400 Serdang Selangor

[email protected]

ABSTRACT Rainfall and potential evapotranspiration are the most important variables in water balance study. A water balance can be used to help manage water supply and demand for agriculture water management. Rainfall data were obtained by Malaysian Meteorology Department while estimates of potential evapotranspiration were calculated using Penman-Monteith method. Trend analysis of monthly and annual precipitation, potential evapotranspiration and rainfall deficit are essential to help irrigation system in agriculture management. These variables trend in Alor Setar for 29 year period (1980-2009) were analysed for annual and monthly periods. Annual potential evapotranspiration exhibits decreasing trend of -0.0008mm per year. However rainfall deficit show an increase by 0.0031 mm yr-1 while there is no significant trend of annual rainfall. Result of this study was aimed to give information and guidance of water management practice and cropping system in that area.

Keywords: Rainfall; Potential Evapotranspiration; Rainfall Deficit






ID058

Modeling and Estimation on Long Memory Stochastic Volatility for Index Prices of FTSE Bursa Malaysia KLCI

KHO CHIA CHENa, ARIFAH BAHARb,a, CHEE-MING TINGc & HALIZA ABD RAHMANa

aDepartment of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM, Johor Bahru.

[email protected] bUTM Centre for Industrial & Applied Mathematics (UTM-CIAM), UTM

cCenter for Biomedical Engineering, UTM

ABSTRACT

The studies of long memory and volatility have become one of the typical ways of measuring risk associated with persistence in financial data set. However, the persistence in volatility cannot be captured easily because some of the mathematical models are not able to detect these properties. To overcome these drawbacks, this study developed a procedure to construct long memory stochastic volatility (LMSV) model by using fractional Ornstein-Uhlenbeck (fOU) process in financial time series to evaluate the degree of the persistence property of the data. The procedure of constructing LMSV model and the estimation methods are applied to the real daily index prices of FTSE Bursa Malaysia KLCI over a period of 20 years. The least square estimator (LSE) and quadratic generalised variations (QGV) method are used to estimate the drift and diffusion coefficient of the volatility process respectively. The long memory parameter is estimated by the detrended fluctuation analysis (DFA) method. The findings showed that the volatility of the index prices exhibit long memory process but the returns of the index prices do not show strong persistence properties. The root mean square errors (RMSE) obtained from various methods indicates that the performances of the model and estimators in describing returns of the index prices are good.

Keywords: Long memory stochastic volatility; fractional Ornstein-Uhlenbeck; LSE; QGV; DFA




ID059

Comparative Performance of Support Vector Regressions for Accurate Streamflow Predictions

NORAINI IBRAHIMa & NORHAIZA AHMADb a Department of Mathematical Sciences, Faculty of Science


b Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected]

ABSTRACT Obtaining accurate streamflow predictions can be challenging due to the inherent variabilities and complex nonlinear nature in streamflow generation processes. Support vector regression model is an effective forecasting tool to forecast streamflow as it is able to capture the nonlinearity in the data and attain the global optimum parameters in the forecasted model. However, the efficiency of SVR might be hindered by noise that typically exist in any hydrological time series data through random influences and inaccuracies in recording. Thus, this condition could compromise the quality of input data into SVR. The performance of the SVR model depends on the model parameters and the choice of the kernel function. The parameter of each kernel function need to be tuned to obtain the optimal parameter since it can influence the behavior of SV. In this study, we investigated the effectiveness of forecasting daily streamflow data using different settings of SVR in two ways. First, we used different variations of wavelet denoising technique using soft-threshold with different selections of wavelet decomposition levels and mother wavelets in order to preserve information and reduce distortion of the original time series. For this purpose, we measured the impact of six different wavelet on SVR namely Daubechies of type db5, db6, db7, db8, db9 and db10 with two different level of decomposition which are level 10 and level 11.Then, the data are applied using four different types of kernel functions in SVR specifically linear, Gaussian, polynomial and radial basis function (RBF) by performing K-fold cross-validation to obtain the optimal parameter for kernel function in forecasting streamflow. We illustrated the methods using the daily streamflow data observed at four stations in the state of Johor. The results demonstrate that SVR based wavelet denoising for 1-day lead time streamflow forecasting of type db6 give better results using linear kernel function based on K-fold cross-validation compared to regular SVR. This implies that reduced variance in the denoising procedure and obtain optimal parameter in kernel function may improve forecasting accuracy. Keywords: Support vector regression; kernel functions; wavelet denoising; mother wavelets; wavelet decomposition levels



ID060

Describing the Orientation of a Conducting Spheroid based on the First Order Polarization Tensor

TAUFIQ KHAIRI AHMAD KHAIRUDDINa, NURHAZIRAH MOHAMAD YUNOSb & ZAINAL ABDUL AZIZc

a,b Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected] a,c UTM Centre for Industrial and Applied Mathematics Ibnu Sina Institute for Scientific & Industrial Research


ABSTRACT

Identifying the orientation of conducting objects can be very important or less important in some industrial problems related to electric or electromagnetic systems. One way to describe the orientation of a conducting object is to use the object's parameter called as the polarization tensor. Generally, the polarization tensor for each application is derived based on the mathematical modelling of the appropriate systems of electric, electromagnetic or both. In this study, we discuss how the first order polarization tensor can be used to describe the orientation of a conducting spheroid in an electrical system. First of all, if a spheroid is rotated, we show that the first order polarization tensor of the spheroid before it is being rotated could be different or the same with the first order polarization tensor of the spheroid after it is being rotated. After that, we propose a method to identify a spheroid, independent of its orientation, based on the property of the first order polarization tensor.

Keywords: Conductivity; rotation matrix; determinant






ID061

Fast Computation of Disk and Annulus with Circular Slits Map of Bounded Multiply Connected Regions with

Application to Biomedical Image Processing ALI WAHAB KAREEM SANGAWIa, ALI HASSAN MOHAMED

MURIDb*, SOLAF A. HUSSAINc, KHIY WEI LEEd a Department of Computer, College of Basic Education, Charmo University, 46023

Chamchamal Sulaimani, Kurdistan, Iraq [email protected]

b UTM Centre for Industrial and Applied Mathematics (UTM-CIAM), Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia,

81310 Johor Bahru, Johor, Malaysia. [email protected]

c Department of Computer Science, School of Science, Faculty of Science and Science Education, Universiti of Sulaimani, 46001 Sulaimani, Kurdistan, Iraq.

[email protected] d Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi

Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia. [email protected]

ABSTRACT

In this paper we present a fast boundary integral equation method for the numerical conformal mapping and its inverse of bounded multiply connected regions onto a disk and annulus with circular slits regions. The method is based on two uniquely solvable boundary integral equations with Neumann-type and generalized Neumann kernels. These boundary integral equations are constructed from a boundary relationship satisfied by a function analytic on a multiply connected region. The integral equations are solved numerically using combination of Nyström method, GMRES method, and fast multipole method (FMM). The complexity of this new algorithm is O((m+1)n), where m+1 is the multiplicity of the multiply connected region and n is the number of nodes on each boundary component. Previous algorithms require O((m+1)^3n^3) operations. The numerical results of some test regions illustrate that our method has the ability to handle regions with complex geometry and very high connectivity. An application of the method to medical image processing of human brain is also presented.

Keywords: Numerical conformal mapping; boundary integral equations; generalized Neumann kernel; medical image processing



ID063

Fractional Metapopulation of Measles Model FARAH AINI BINTI ABDULLAH

School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Gelugor, Penang, Malaysia

[email protected]

ABSTRACT

In this work, a fractional temporal SEIR measles model is considered. The model consists of our coupled time fractional ordinary differential equations. The time-fractional derivative is defined in the Caputo sense. Firstly, we solve this model by solving an approximate model that de-couples the four time fractional ordinary differential equations (TFODE) at each time step. Secondly, we derive an analytical solution of the single TFODE. Then, we can obtain analytical solutions of the four decoupled TFODE at each time step, respectively. Thirdly, a computationally effective fractional scheme is proposed for simulating the TFODE. It can be shown that the fractional model provides an interesting technique to describe measles spreading dynamics. We conclude that the analytical and Predictor-Corrector schemes derived are easy to implement and can be extended to other fractional models.

Keywords: measles model; fractional differential equations; Predictor-Corrector schemes




ID064

Convergence of Modified Homotopy Perturbation Method for Fredholm-Volterra Integro-Differential Equation of

order m Z. K. Eshkuvatova, F. S. Zulkarnainb

a Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), Negeri Sembilan, Malaysia

[email protected] b Department of Mathematics, Faculty of Science,

Universiti Putra Malaysia (UPM), Selangor, Malaysia [email protected]

ABSTRACT Homotopy perturbation method (HPM) is introduced in 1999 and it is the combination of two methods: the homotopy and perturbation method. In recent years, the application of HPM in mathematical problems has been applied by many researchers. This method deforms complicated problem into a simple problem which is easy to solve. There are few modifications on HPM, one of them is adding few unknown parameters to the first iterations and find the unknown parameters by equating 2nd iteration to be zero which leads to semi-analytical solutions. Another modification is to divide the interval into subintervals and use HPM on each subinterval which is named multistage homotopy-perturbation method. In 2016, convex HPM and modified HPM have been used for the approximate solution of the linear Fredholm-Volterra integro-differential equation and hyper-singular integral equations respectively. In this paper, modified homotopy perturbation method (MHPM) is applied to solve the general Fredholm-Volterra integro-differential equations (FV-IDEs) of order m with initial conditions. Selective functions and unknown parameters allowed us to obtain two step iterations. It is found that MHPM is a semi-analytical method for FV-IDEs and could avoid complex computations. Numerical examples are given to show the efficiency and reliability of the method. The proof of convergence of the proposed method is also given.

Keywords: integro-differential equations, homotopy perturbation method, convergence





ID068

Mathematical Modeling of Geophone Magnetic Ring for Sensitivity Studies

MAWA PATRICK LUKAa, SER LEE LOHb & DENNIS LING CHUAN CHINGc1

a,cUniversiti Teknologi PETRONAS, 82610 Ipoh, Perak, Malaysia [email protected], [email protected]

bUniversiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia [email protected]

ABSTRACT

Geophone (model SM-24) pertaining its performance to detect surface wave at Free Wave Generator is analyzed. Sensitivity studies have been conducted to model the physical disadvantage such as spring suspension and magnetic field in geophone. From mathematical model of the ring permanent magnet, applying “superposition” has suggested a solution: an external resistor across its output terminal to amplify the exhibited linear damping behavior. Geophone with 60%, and 75% damping ratio are designed and built and the results show that 75% damping provide highest sensitivity. Analytic expression of vertical component of magnetic field shows that the damping ratio can be increased physically by increasing the radius of the magnetic field, however, by modifying the SM-24 damping ratio, similar outcome can be obtained. Keywords: Geophone; Superposition; Sensitivity; Magnetic Field; Damping



ID071

Mathematical Modelling for Fish Feed Formulation of Mystus Nemurus sp. Catfish: Optimizing Growth and

Nutrients Requirements NUR AIDYA HANUM AIZAMa, RABIATUL ADAWIYAH IBRAHIMb,

RAPHAEL LEE KUOK LUNGc, PANG YEN LING & AIDILLA MUBARAK

a,b,c,d Pusat Pengajian Informatik dan Matematik Gunaan (PPIMG) Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia

[email protected], [email protected], [email protected], [email protected]

ePusat Pengajian Sains dan Teknologi Makanan (PPSTM) Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia

[email protected]

ABSTRACT This study was carried out for the aim of integrating mathematical model in the plan of producing a fish feed formulation by reducing the total cost without discarding the nutrients requirements. As for the study, we focused on producing the perfect combination of fish feed for Mystus nemurus sp. Catfish in different stages of life. The mathematical model developed considers their required nutrients in each stage, cost of each ingredient and the amount of nutrients to be consumed (nutrient composition of fish feed ingredients). We employed AIMMS mathematical software to assist with the computation. Based on the result, we obtained a much better combination of different ingredients compared to available commercial pallets in terms of nutrient composition and production cost. The combinations gave much cheaper cost yet boosts up the nutrient consumptions directed as an eye-opener for independent fish farmers. Thorough discussion in exploiting the results with future research directions will also be included.

Keywords: Mathematical modelling; AIMMS mathematical software; Mystus nemurus sp. Catfish; fish feed formulation







ID072

Free Vibration of Layered Cylindrical Shell Filled with

Fluid using Spline Approximation NURUL IZYAN MAT DAUDa,b, K. K. VISWANATHANc & ZAINAL

ABDUL AZIZa,b aUTM Centre for Industrial and Applied Mathematics, Ibnu Sina Institute for

Scientific & Industrial Research, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

[email protected], [email protected] bDepartment of Mathematical Sciences, Faculty of Science

Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected] cKuwait College of Science and Technology,

Doha Area, 7th Ring Road, P. O. Box No. 27235, Safat 13133, Kuwait [email protected]

ABSTRACT Free vibration of two layered cylindrical shell filled with fluid using spline approximation method is presented. The fluid is assumed to be quiescent and inviscid. By using Love’s first approximation theory, the equations of motion for cylindrical shell are formulated in terms of longitudinal, circumferential and transverse displacement components. A system of coupled equations on three displacement functions is obtained on assuming the displacement components in a separable form. Then, Bickley-type spline is used to approximate the displacement functions, which along the boundary conditions, resulting into a generalised eigenvalue problem. The eigenvalue is solved to obtain the frequencies which associated with eigenvectors of the spline coefficients from which the mode shapes are constructed. Parametric studies with respect to relative layer thickness, length-to-radius ratio and thickness-to-radius ratio are carried out to analyse the frequency of shell filled with fluid under clamped-clamped (C-C) boundary conditions. Keywords: free vibration; cylindrical shell; Love’s first approximation theory; spline; inviscid fluid








ID073

Estimating Risk Factors of Neonatal Death in A Malaysian Public Neonatal Intensive Care Unit using A Survival

Analysis Approach ZARINA MOHD KHALIDa, AISYAH ALIb, GHAZALI ISMAILb & CHIN

WAN YOKEc

aDepartment of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia

[email protected] bClinical Research Centre, Hospital Sultan Ismail,

Jalan Persiaran Mutiara Emas Utama, Taman Mount Austin, 81100 Johor Bahru, Malaysia

[email protected], [email protected] cDepartment of Computer Science and Mathematics, Faculty of Computing and

Information Technology, Tengku Abdul Rahman University College, 53300 Kuala Lumpur, Malaysia

[email protected]

ABSTRACT Identification of risk factors associated with neonatal death in a Malaysian public hospital neonatal intensive care unit (NICU) is the main focus of this study. To achieve this objective, a survival analysis approach was conducted on neonatal data collected from Hospital Sultan Ismail Johor Bahru (HSIJB) Malaysia. The sample data were obtained from HSIJB neonatal ICU database consisted of 1656 patients admitted from 1 July 2013 until 30 June 2014. Univariate chi-square test or Fisher’s exact test, and multivariate Cox regression analysis were used to identify the variables that were affecting the chance of neonatal survivorship. After screening, 947 neonates admitted to NICU right after birth were followed-up until death or discharged, out of which 63 died before their 28th day of life in NICU. The study found that the significant risk factors of neonatal death when analyzed individually were caesarian delivery, preterm neonates, low birth weight (< 1500 g), poor Apgar scores at 1 and 5 minutes, malformed, requiring mechanical ventilator, presence of Infant Respiratory Distress Syndrome (IRDS), and confirmed sepsis. However, through a multivariate Cox regression analysis, the adjusted significant factors were left with low birth weight (< 1500 g), poor Apgar scores at 5 minutes, malformed, and neonates requiring mechanical ventilator. Keywords: Fisher’s exact test; Cox regression analysis; neonatal mortality; neonatal intensive care unit (NICU)







ID074

MILP Model for Integrated Line Balancing and Model Sequencing Problems for Mixed-Model Two-Sided

Assembly Line NUR INTAN LIYANA MOHD AZMIa, RASHIDAH AHMADb &

ZAITUL MARLIZAWATI ZAINUDDINc a,b,c Department of Mathematical Sciences, Faculty of Science

Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia [email protected], [email protected]

c UTM Centre for Industrial and Applied Mathematics (UTM-CIAM), Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

[email protected]

ABSTRACT

Two-sided assembly lines are designed for producing high volume intermixed product’s model. Large industries such as automotive industry adapt this line to satisfy the market demand. This research explores the Mixed-Model Two-Sided Assembly Line (MMTSAL). There are two interrelated problems in MMTSAL which are line balancing and model sequencing. In previous studies, many researchers considered these problems separately and only few studied them simultaneously for one-sided line. However in this study, these two problems are solved simultaneously to obtain more efficient solution. The Mixed Integer Linear Programming (MILP) model for one-sided line with the objective of minimizing total utility work is modified. Total utility work is also known as the amount of work that is not completed within the given length of workstation. The characteristic of two-sided line as well as the task restriction are added as constraints. Task restriction is also known as preferred operations direction constraint where some task may be preferred to be performed at one sided of the line, while others may be performed at either side of the line. The tasks are classified into left-side tasks, right-side tasks and either-side tasks. The problem is analysed using small-size to large-size test cases using General Algebraic Modelling System (GAMS) with the solver CPLEX. Experimental results indicate that integrating the problems of model sequencing and line balancing helps minimise the total utility work. Also, it is found that the feasible solution for model sequence with the assignment of task to assembly line is optimal.

Keywords: Mixed-model two-sided assembly line; Model sequencing; Line Balancing; Simultaneous line balancing and mixed-model sequencing; Mixed integer linear programming.





ID075

Integration of Economic Production Quantity with Defective Items and Aggregate Planning for Multi-Product

in Multi-Period GEETHAMPARI A/P SUBAMANIAMa, ZAITUL MARLIZAWATI

ZAINUDDINb & NUR ARINA BAZILAH AZIZc a,b,c Department of Mathematical Sciences, Faculty of Science

Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia [email protected], [email protected]

b,c UTM-Centre for Industrial and Applied Mathematics, Ibnu Sina Institute for Scientific & Industrial Research

Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

ABSTRACT

Manufacturers often face material losses during production assemblies which are usually unpredictable. However, the attrition percentage for a given material can normally be obtained. In order to make sure that the demand is met despite attrition, the production needs to be planned wisely. Inefficient production planning can lead to the consumption of capital resources. In this work, an inventory model that takes attrition into consideration and no shortage is allowed is developed. An Economic Production Quantity with Attrition (EPQA) is used to obtain the optimal production run size and the optimal production cycle. Then, an aggregate planning model for a year is developed taking the optimal production run size obtained as the demand. From this model, the production quantity of products, use of overtime labour, numbers of workers to be hired or fired and the amount of inventory to be held in stock each month so that the demand is met and the annual total cost of operations is kept to the minimum are decided. This new production policy can thus scientifically address the attrition problem, assist in decision making, help in resource planning and optimize the production process. Keywords: Economic Production Quantity with Attrition; Aggregate planning; Optimal production





ID076

Optimization of UTM Bus Services ZAITUL MARLIZAWATI ZAINUDDINa,, AKBAR

BANITELEBIDEHKORBIb, SYARIFAH ZYURINA NORDINc, NUR ARINA BAZILAH AZIZd, FARHANA JOHARe

a,c,d,e Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected], [email protected], [email protected]

a,b UTM-Centre for Industrial and Applied Mathematics (UTM-CIAM) Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia


ABSTRACT

The problem of optimizing the bus services in UTM is considered. Assuming the number of colleges and faculties are known, the distances between them are available and further the number of students who need to commute between these colleges and faculties are also known. Objectives of the problem are to maximize the ridership, minimize the headway and the operating cost of the bus services. A linear model of this transit system is introduced that is based upon flow conservation. The solution of the model helps to optimize the quality of the bus transit service in UTM.

Keywords: Vehicle Routing; Optimization; Bus Services









ID077

A Model of Unsteady Blood Flow in Microcirculation for 4-Node Networks

WAN RUKAIDA WAN ABDULLAH, NURUL FARHANA ZAINAL ABIDIN & SHARIDAN SHAFIE

Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia


ABSTRACT This project addresses blood flow in the systemic microcirculation, which is formed by networks of small capillaries having diameters comparable in size to the blood cells passing through them. We solve sets of coupled nonlinear partial differential equations to analyze the behaviour of blood flow in microcirculation for four-node network with seven-tube. The model incorporates empirical descriptions of blood rheology in capillaries, particularly the Fahraeus effect, the Fahraeus-Lidqvist effect and the phase-separation effect. The coupled advection-diffusion equations are solved using finite-difference-based numerical methods and demonstrate the long-lived transient response of the flow through the network to inlet perturbations.

Keywords: Microcirculation; Hematocrite; Fahraeus-Lidqvist effect; Phase-separation effect






ID078

Generic Skills Assessment on Critical Thinking and Problem Solving Skills: Engineering vs Non-Engineering

UTM Students ZAINAL ABDUL AZIZa, ROHANIN AHMADb, ZAITUL

MARLIZAWATI ZAINUDDINc, SHARIFFAH SUHAILA SYED JAMALUDINd, ARIFAH BAHARe, ZARINA MOHD KHALIDf,

NORAZLINA ISMAILg, CHIN WAN YOKEh & ASMA MUSTAFAi a,b,c,d,e,f,g,i Department of Mathematical Sciences, Faculty of Science

Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected],

[email protected] hDepartment of Computer Science and Mathematics, Faculty of Applied Sciences

and Computing Tunku Abdul Rahman University College, 53300 Kuala Lumpur

[email protected]

ABSTRACT

Critical thinking assessment is a worldwide test used to evaluate thoughtfulness of a person when doing a decision. This study conducted critical thinking and problem-solving (CTPS) to evaluate the ability of engineering and non-engineering Universiti Teknologi Malaysia (UTM) students in identifying, analyzing and solving the problem based on their skill before and after taking four years of undergraduate studies in UTM. First semester and final semester students from the Cohort 2011/2012 from all faculties were randomly selected to participate the CTPS assessment. The questions were set according to the traits of critical thinking and the marks were given using scoring rubrics. Rasch analysis was performed to test the reliability and unidimensionality of the questionnaires. Mean or median was used to analyze the scores of the students in terms of gender, pre-U, race, faculty, and course discipline. Most of the students scored the CTPS test in the final semester compared to the first semester. Students from engineering school generally performed better than those are from non-engineering school. Keywords: Critical Thinking; Problem Solving; CTPS; Rasch Analysis












ID079

Application of Mathematical Sciences Research in Hydrology Fields: A case study in Malaysia.

SHARIFFAH SUHAILA SYED JAMALUDINa , NUR ARINA BAZILAH AZIZb, ARIFAH BAHARc, MUHAMMAD FAUZEE HAMDANd &

FADHILAH YUSOFe a,b,c,d,eDepartment of Mathematical Sciences, Faculty of Science

UniversitiTeknologi Malaysia, 81310 Johor Bahru, Malaysia [email protected], [email protected],


ABSTRACT

The mathematical sciences play a vital part in all aspects of modern society. Without research and having a good training in mathematics, there would be no engineers, economics or computer analyst; no smart phones, ATM machine or alarm system. Mathematical sciences refer to the high-end research in mathematics, statistics and operations research carried out by academic institutions, research centres, businesses, individuals and government, which all add to the store of accumulated mathematical knowledge. Nowadays, the number of researches in mathematical sciences has been drastically increased especially in Research University. Hydrology is a field that insists on using mathematical sciences theory in their application such as in predicting how water will behave under different circumstances; water supplies for residents, controlling river flooding, flood risk assessment and flood/drought warning. An overall aim of hydrologists is to apply scientific knowledge and mathematical principles to mitigate water-related problems in society and environmental protection. Thus, this research takes the initiative to undertake a study that assesses the significance of mathematical sciences research in hydrological field. Results indicate that many mathematical sciences research specifically statistical methods have been applied in hydrological application in Malaysia. Most of the researches gave beneficial impacts to the hydrological developments. Keywords: Mathematical Sciences; Hydrological Application; Rainfall; Streamflow; Drought








ID080

Chicken Product Production Optimizer ZAITUL MARLIZAWATI ZAINUDDINa,, NUR ARINA BAZILAH AZIZb, SYARIFAH ZYURINA NORDINc, FARHANA JOHARd &

RASHIDAH AHMADe a,c,d,e Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected], [email protected] a,b UTM-Centre for Industrial and Applied Mathematics (UTM-CIAM)

Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia [email protected], [email protected]

ABSTRACT Livestock industry in Malaysia is an important sector that may contribute to the development of agriculture and economics in the country. In Johor, the industry is likely to contribute and provide food for the people especially in the State of Johor and generally in Malaysia. Nowadays, the farming industry is getting aware of the halalan and toyyiban issues. This is in line with Malaysia’s target to achieve global halal hub by 2020. To achieve these aspirations, more entrepreneurs are encouraged to venture into halal chains for large-scale broiler chicken industry. With the demand for the halal chicken production is increasing, the chicken producers need to make proper planning so that they can meet the users’ requirements. Through a systematic production planning, they can reduce the operation costs involved and will be able to offer a lower price for chicken products to the consumers. The project is intended to assist the chicken entrepreneurs to decide the combination of the poultry products that is profitable. Therefore a system named Chicken Product Production Optimizer (CPPO) is developed and it is hoped that it will help the entrepreneurs to decide the best number of chicken product combination based on the consumers’ demand. Keywords: Chicken Production; Optimization; Halal Product








ID081

Statistical Literacy for Small and Medium-sized Enterprise (SME) in Malaysia

ARIFAH BAHARa, FADHILAH YUSOFb, HALIZA ABD RAHMANc, NORHAIZA AHMADd, FARHANA JOHARe, KAMARIAH ISMAILf &

ZAINAL ABDUL AZIZg a,b,c,d,e Department of Mathematical Sciences, Faculty of Science

Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia [email protected], [email protected], [email protected], [email protected],

[email protected], f UTM Technology Entrepreneurship Centre (UTMTEC)


a,b,g UTM Centre for Industrial and Applied Mathematics Ibnu Sina Institute for Scientific & Industrial Research


ABSTRACT The present deluge of data and information in the world makes numbers the basis of a new language. We can say that Statistical Literacy became a key competence of nowadays modern societies. Statistical Literacy is so important for personal and social inclusion and active citizenship as it was, in the past, knowing to write or read. The importance of Statistical Literacy in Industrial Revolution 4.0 (Data Science). The challenges faced in Industrial Revolution 4.0 are the real impact of all our efforts towards the improvement of Statistical Literacy, regularly measuring in different countries and with a standard and comparable way, our target, mainly students, frequent users of statistical data, e.g. Journalist, and public at large. Besides, the actual contribution of Statistical Literacy for the social and economic wellbeing of our societies, correlating (or using causal analysis) this of Index with all other social, economic, cultural, or even political, variables. The objectives are to assess or survey the level Statistical Literacy among SME employees and to construct questioners for measuring Statistical Literacy among SME employees. The sample size of 10% from 1000 companies registered with SME Corporation. The construct of the questioners are divided into four categories attitudes and use, understanding, evaluation and ability to form an opinion.

Keywords: Statistical literacy; Small and Medium-sized Enterprise (SME); Statistical analysis










ID082

Comparison between VAR, GSTAR, FFNN-VAR and FFNN-GSTAR Models for Forecasting Oil Production SUHARTONOa, DEDY DWI PRASTYOb, HERI KUSWANTOc &

MUHAMMAD HISYAM LEEd a,b,c Department of Statistics, Faculty of Mathematics and Science, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia

suhartono@ statistika.its.ac.id, [email protected], [email protected]

d Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

[email protected]

ABSTRACT Monthly data about oil production at several drilling wells is an example of spatio-temporal data. The aim of this research is to compare the forecast accuracy between several spatio-temporal models, i.e. Vector Autoregressive (VAR), Generalized Space-Time Autoregressive (GSTAR), Feedforward Neural Network-VAR (FFNN-VAR), and FFNN-GSTAR models. These spatio-temporal models are proposed and applied for forecasting monthly oil production data at three drilling wells in East Java, Indonesia. There are 60 observations that be divided to two parts, i.e. the first 50 observations for training data and the last 10 observations for testing data. The results show that FFNN-GSTAR(11) and FFNN-VAR(1) as nolinear spatio-temporal models tend to give more accurate forecast than VAR(1) and GSTAR(11) as linear spatio-temporal models. Moreover, further research about nonlinear spatio-temporal models based on neural networks and GSTAR is needed for developing new hybrid models that could improve the forecast accuracy.

Keywords: Spatio-temporal; Forecasting; VAR; GSTAR; FFNN-VAR; FFNN-GSTAR; Oil Production.


mailto:suhartono@%20statistika.its.ac.id




ID083

Subsea Cable Laying Problem AHMAD RAZIN ZAINAL ABIDINa, SHAYMAA MUSTAFAb &

ZAINAL ABD AZIZc a Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru,


b,c Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia [email protected], [email protected]

a,c UTM-Centre for Industrial and Applied Mathematics (UTM-CIAM), Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

ABSTRACT Subsea cable laying process is a difficult task for an engineer due to many uncertain situations occurs during the operation. It is very often that the cable being laid out is not perfectly fit on the route being planned, which results in the formation of slack. In order to control wastages during installation, the slack needs to be minimized and the movement of a ship/vessel needs to be synchronized with the cable being paid out. In this paper, the presented problem was addressed using a mathematical model considering a number of defining parameters such as the external forces, the cable properties and geometry, etc. Due to the complexity, the model was first developed for a steady-state problem assuming velocity of the vessel is constant, seabed is flat and the effect of wind and wave is insignificant. Non-dimensional system is used to scale the engineering parameters and group them into only two main parameters which are the hydrodynamic drag of the fluid and the bending stiffness of the cable. There are two solutions provided in the report; (1) Numerical solution and (2) Asymptotic solution. The result of these solutions suggests that the percentage of slack can be reduced by the increase of the prescribed cable tension, and also the increase in either the drag coefficient of the sea water or the bending stiffness of the cable, similarly will result in lower slack percentage. Recommendation on a further research of a time-dependent problem is made at the end of this report in order to allow for wave motion and variable sea surface. Keywords: Subsea Cable Laying; Minimization of Slack; Steady-state Problem; Mathematical Modeling






ID084

Spatial Grouping of Homogeneous River Flow Process in Johor

NUR SYAZWIN MANSORa, NORHAIZA AHMADa AND ARIEN HERYANSYAHb

aDepartment of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia,

81310 Skudai, Johor Darul Takzim, Malaysia. bCentre for Climate Risk and Opportunity Management in Southeast Asia Pasific

(CCROM SEAP) Gedung Fisik dan Botani, Lantai 2 Kampus IPB Baranangsiang,

Jalan Pajajaran Bogor, 16143 Jawa Barat Indonesia. e-mail: [email protected], [email protected], [email protected]

ABSTRACT This study identifies the spatial grouping of homogeneous river flow process on eight rivers in Johor sequences from 1980 to 2008. Here we use a clustering approach to detect the similarities between eight rivers in Johor. We use a nonlinear dissimilarity measures of Dynamic Time Warping (DTW) to identify the similarities. The clustering results validated by C-index shows two distinct clusters. Cluster 1 consist of Sungai Lenggor, Sungai Johor, and Sungai Kahang. Cluster 2 consist of Sungai Sayong, Sungai Lenik, Sungai Segamat, Sungai Bekok, and Sungai Muar. The two-cluster solutions are stable and interpretable with reference to spatial variations. These clusters can be distinct by their geographical location in the peninsular.

Keywords: Spatial grouping; Clustering; Dissimilarity measure



ID085

Detecting Gas Leaks in a Pipeline Using Reduced Order Modelling

NORAZLINA SUBANIa & NORSARAHAIDA AMINb a,b Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia


ABSTRACT

This work focuses on the development of a mathematical model as a viable alternative to pinpoint locations of gas leaks in a pipeline. The transient non-isothermal flow of hydrogen-natural gas mixture in a pipeline is considered because hydrogen is often transported in the same pipeline as natural gas to reduce the transportation cost. The mathematical models need to be further improved to include the effect of mass ratio of gas mixture. The gas mixture was assumed to be homogeneous and the transient pressure wave was created by the sudden or instantaneous closure of a downstream shut-off valve to ensure the attainment of minimum pressure at the downstream end within a short time. The boundary conditions imposed were under the assumption that a reservoir exists at the upstream and a sudden closure valve was at the downstream. The governing equations were numerically solved using the reduced order modelling (ROM) technique, which had not been previously applied on non-isothermal models involving gas mixtures. Numerical results observed that the mass ratio of hydrogen to natural gas should not be more than 0.5 to ensure that leakage does not occur before the estimated leak position. An increase in the mass ratio φ leads to an increase in the pressure and celerity wave, while the leak location and amount of leak discharge decrease.

Keywords: Leak Detection; Gas Mixture; Hydrogen; Natural Gas; Reduced Order Modeling





ID086

Performance Evaluation of a New Hybrid Multivariate Meteorological Model Analysis: A Simulation Study

SITI MARIAM NORRULASHIKINa, FADHILAH YUSOFb & IBRAHIM LAWAL KANEc


[email protected] , [email protected] cDepartment of Mathematics and Computer Science, Faculty of Science

Umaru Musa Yar’adua University, 2218 Katsina State, Nigeria [email protected]

ABSTRACT Simulation used to measure the robustness and efficiency of forecasting techniques performance over complex systems. A method for simulating multivariate time series was presented in this study using vector autoregressive process. By applying the methodology to the multivariable meteorological time series, a simulation study was carried out to check for the method performance. Three performance measure used and the results reveals that the method works very well in practice.

Keywords: Simulation; Meteorology; Time Series Simulation






ID087

A Study on the Optimal Felling Rate in the Palm Oil Plantation System

MOHD ISMAIL ABD AZIZa, NORYANTI NASIRb & AKBAR BANITALEBIc


[email protected], [email protected] cUTM Center for Industrial and Applied Mathematics,


ABSTRACT Successful palm oil plantation should have high returns profit, clean and environment-friendly. Since oil palm trees have a long life and it takes years to be fully grown, controlling the felling rate of the palm oil trees is a fundamental challenge. It needs to be addressed in order to maximize oil production. However, a good arrangement of the felling palm oil trees may still affect the amount of carbon absorption. The objective of this study is to develop a model of the palm oil plantation system taking into account both oil production and carbon absorption. The model facilitates providing the optimal control of felling rate that results in maximizing both oil production and carbon absorption. At this aim, the model is formulated considering palm oil biomass, carbon absorption rate, oil palm production rate and the average prices of carbon and oil palm. A set of real data is used to estimate the parameters of the model and numerical simulation is conducted to highlight the application of the proposed model.

Keywords: Carbon Absorption; Palm oil trees; System Equation






ID088

Modelling and Forecasting External Trade using ARIMA and GARCH Model

TEO WEE CHIENa, NORAZLINA ISMAILb & ASMA’ MUSTAFAc a,b,c Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia


ABSTRACT

External trade is one of the factors that affect the economy of a country. The government and policy-makers are responsible to make decision to control and maintain the growth of external trade volume. Hence, an accurate forecasting model is very important to help them make decision. Thus, this study was conducted to model ARIMA, GARCH and hybrid ARIMA-GARCH for monthly external trade data. In this study, monthly external trade data of Malaysia is used from January 1971 to December 2017 collected from Department of Statistics Malaysia. EViews 9 Student Version is used to analyze the data. Akaike’s Information Criterion (AIC) is used to measure the goodness of fit of ARIMA and hybrid models. GARCH (1,1) is chosen as the model in this study because previous researchers show it fit most of the data well. Forecasting accuracy of the three models are evaluated using Mean Absolute Percentage Error (MAPE). The model which gives the lowest value of MAPE is consider as the best model. From the results, it can be concluded that GARCH model is better than ARIMA model because it can handle volatility of time series data. Nevertheless, the hybrid model gives the lowest forecasting error which suggest that it is the most suitable model to forecast external trade of Malaysia.

Keywords: External Trade Forecast, ARIMA, GARCH, Hybrid ARIMA-GARCH



ID089

Transformation Pressurized Water Reactor (AP1000) to Fuzzy Graph

AZMIRUL ASHAARIa, TAHIR AHMADb & WAN MUNIRAH WAN MOHAMADc

a,c Department of Mathematical Sciences, Faculty of Science Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

[email protected], [email protected] bCentre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and

Industrial Research, Universiti Teknologi Malaysia, 81310 UTM,Skudai, Johor, Malaysia

[email protected]

ABSTRACT

Pressurized water reactor (PWR) type AP1000 is the third generation of a nuclear power plant. The primary system of PWR using uranium dioxide to generate heat energy via fission process. The process influences temperature, pressure and pH value of water chemistry of the PWR. The aim of this paper is to transform the primary system of PWR using fuzzy autocatalytic set (FACS). In this work, the background of primary system of PWR and the properties of the model are provided. The simulation result, namely dynamic concentration of PW is verified against published data.

Keywords: Pressurized Water Reactor (PWR); Graphical model; Autocatalytic Set; Fuzzy graph.




We wish to acknowledge our special gratitude to

The Ministry of Higher Education, Malaysia

UTM Office of Deputy Vice-Chanchelor (Research & Innovation)

UTM Corporate Affairs

Oxford Centre for Industrial and Applied Mathematics

(OCIAM)

UTM Faculty of Science

Department of Mathematical Sciences

IBNU SINA INSTITUTE for Scientific and Industrial Research

Prof. Dato’ Dr. Mohd Ismail Abdul Aziz Former UTM Deputy Vice Chancellor (Student Affairs & Alumni)

Assoc. Prof. Dr. Rohanin Ahamd

Former Head of Department, Department of Mathematical Sciences, Faculty of Science, UTM

and all individuals who have directly and indirectly contributed

to the success of this event.

Acknowledgements



Map



No. Participants

1. Aaishah Radziah Binti Jamaludin, Ms.

[email protected] Universiti Teknologi Malaysia

2. Agnes Ona Bliti Puka, Ms. [email protected]

Institut Teknologi Sepuluh Nopember

3. Ahmad Fadly Nurullah Rasedee, Dr.

[email protected] Islamic Science University of Malaysia

4. Ahmad Razin Zainal Abidin, Dr.


5.

Ahmad Ridhuan Hamdan, Mr. [email protected]

Razak School of Engineering and Advanced Technology Universiti Teknologi Malaysia

6. Aimi Athirah Ahmad, Ms.


7.

Akbar Banitalebi, Dr. [email protected]

Universiti Teknologi Malaysia

8. Ali Hassan Mohamed Murid, AP Dr.


9. Amber Nehan Kashif, Ms.


10. Amir Hamzah, Mr.


11. Annie Gorgey, Dr.

[email protected] Universiti Pendidikan Sultan Idris

12.

Arifah Bahar, Dr. [email protected]


List of Participants















13.

Asma’ Mustafa, Ms. [email protected]

Universiti Teknologi Malaysia 14. Azmirul Ashaari, Mr.


15. Dennis Ling Chuan Ching, Dr.

[email protected] Universiti Teknologi PETRONAS

16.

Fadhilah Yusof, AP Dr. [email protected]


17. Farah Aini Abdullah, AP Dr.

[email protected] Universiti Sains Malaysia

18. Fatin Amrina A. Rashid, Ms.


19. Fawzia Mansour Elniel, Ms.


20. Floridah Jelon, Ms.


21. Fong Wan Heng, Dr.


22. Hamizah M Safuan, Dr. [email protected]

Universiti Tun Hussein Onn Malaysia

23. Izzat Fakhruddin Kamaruzaman, Mr. [email protected]

Multimedia University

24. Kashif Bin Zaheer, Mr. [email protected]


25. Kho Chia Chen, Ms.


26. Khuneswari Gopal Pillay, Dr.

[email protected] Universiti Tun Hussein Onn Malaysia















27. Maizatul Nadirah Mustaffa, Ms. [email protected] Universiti Teknologi Malaysia

28. Mohamad Alif Bin Ismail, Mr. [email protected]


29. Mohd Ridza Bin Mohd Haniffah, Dr.


30.

Mohd Bakri Adam, AP Dr. [email protected]

Universiti Putra Malaysia

31. Mohd Rijal Ilias, Mr. [email protected]


32. Mohd Tahir Ismail, AP Dr.

[email protected] Universiti Sains Malaysia

33. Muhamad Safiih Lola, AP Dr.

[email protected] Universiti Malaysia Terengganu

34. Muhammad Zillullah Mukaram, Mr.

[email protected] / [email protected] Universiti Teknologi Malaysia

35. Nor Hafizah Moslim, Ms.

[email protected] Universiti Malaysia Pahang

36. Noraini Ibrahim, Ms.


37. Noratiqah Mohd Ariff, Dr.

[email protected] Universiti Kebangsaan Malaysia

38. Norazlina Ismail, Dr. [email protected]


39. Norazlina Subani, Ms.


40. Norhaiza Ahmad, Dr.



















41. Norliza Mohd Zain, Ms. [email protected]


42. Normazni Abdullah, Ms.


43. Norshela Mohd Noh, Ms.


44. Noryanti Nasir, Ms.


45.

Nur Aidya Hanum Aizam, Dr. [email protected]

Universiti Malaysia Terengganu

46. Nur Arina Bazilah Aziz, Dr.


47. Nur Fadhilah Ibrahim, Dr.


48. Nur Intan Liyana Mohd Azmi, Ms.


49. Nur Syazwin Mansor, Ms.


50.

Nurkhairany Amyra Mokhtar, Ms. [email protected]

National Defence University of Malaysia

51. Nurliyana Juhan, Ms.


52. Nurlyana Omar, Ms.


53. Nurul Izyan Mat Daud, Ms.


54. Padmaa Venkatasona, Ms.

[email protected] University of Malaya Medical Centre

















55. Rahimah Mahat, Ms.


56. Rahmah Binti Mohd Lokoman, Ms. [email protected]


57. Sayed Ameenuddin Irfan, Mr.

[email protected] / [email protected] Universiti Teknologi PETRONAS

58. Sharifah Hafizah Syed Ariffin, AP Dr.


59. Shariffah Suahila Syed Jamaludin, Dr.


60. Siti Mariam Norrulashikin, Ms.


61. Siti Rohani Mohd Nor, Ms.

[email protected] / [email protected] Universiti Teknologi Malaysia

62. Suhartono, Dr.

[email protected] Institut Teknologi Sepuluh Nopember

63. Syarifah Zyurina Nordin, Dr.


64. Syerrina Zakaria, Dr. [email protected]

Universiti Malaysia Terengganu

65. Taufiq Khairi Ahmad Khairuddin, Dr.


66. Titis Miranti, Ms.

[email protected] Institut Teknologi Sepuluh Nopember

67. Ummu ’Atiqah Mohd Roslan, Dr.


68. Wan Rukaida Wan Abdullah, Ms.




















69. Yahaya Shagaiya Daniel, Mr.

[email protected], Universiti Teknologi Malaysia

70. Yeak Su Hoe, Dr. [email protected]


71. Zainal Abdul Aziz, Prof. Dr.


72. Zainidin K. Eshkuvatov, AP Dr.

[email protected] Universiti Sains Islam Malaysia

73. Zaitul Marlizawati Zainuddin, Dr.


74. Zarina Mohd Khalid, Dr. [email protected]


75. Zuhaila Ismail, Dr. [email protected]









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