STM JOURNALSScientific Technical Medical
Journal of
Operating SystemsDevelopment & Trends
Jan - April 2014
(JoOSDT)
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Industrial Tribology Machine Dynamics & Maintenance
Engineering Centre (ITMMEC)
Indian Institute of Technology Delhi, India.
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Alternative Energy Technology Laboratory,
Department of Physics,
Indian Institute of Technology, Chennai, India.
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School of Materials Science and Technology,
Institute of Technology, Banaras Hindu University,
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STM Journal (s) Advisory Board
Dr. Ashish RunthalaLecturer, Biological Sciences Group,
Birla Institute of Technology & Science, Pilani Rajasthan, India.
Dr. Baldev RajDistinguished Scientist & Director,
Indira Gandhi Centre for Atomic Research
(ICGAR)Kalpakkam, India.
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Medicine, Maulana Azad Medical College, New Delhi, India.
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University, Baru Sahib, India.
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Indian Institute of Technology Madras, India.
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Nurture Earth R&D Pvt LtdMIT Campus, Beed bypass road,
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Engineering department, PEC University of Technology,
Chandigarh, India.
STM Journal (s) Advisory Board
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Dr. H. S. BeheraAsst. Prof. Dept. of Computer Science & Engg,Veer Surendra
Sai University of Technology, Odisha India.
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Department of Information Technology,Birla Institute of Technology, Mesra
Ranchi.
Dr. B.L. ShivakumarProfessor
Sri Ramakrishna Engineering CollegeCoimbatore.
Shih-Ching YehAssistant Professor
At National Central University Taiwan.
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At Department of Computer ScienceUniversity of Lucknow.
Dr. Gaurav KumarFounder, Managing Director
Magma Research and Consultancy Pvt. Ltd.Ambala Cantt., Haryana
India.
I take the privilege to present the print version for the Volume 1 Issue (1) of Journal of Operating
Systems Development & Trends. The intension of JoOSDT is to create an atmosphere that stimulates
creativeness, research and growth in the area of operating systems.
The development and growth of the mankind is the consequence of brilliant Research done by
eminent Scientists and Engineers in every field. JoOSDT provides an outlet for Research findings
and reviews in areas of operating systems found to be relevant for National and International recent
developments & research initiative.
The aim and scope of the Journal is to provide an academic medium and an important reference for
the advancement and dissemination of Research results that support high level learning, teaching and
research in the domain operating systems.
Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for
their continued support and invaluable contributions and suggestions in the form of authoring write
ups/ reviewing and providing constructive comments for the advancement of the journals. With
regards to their due continuous support and co-operation, we have been able to publish quality
Research/Reviews findings for our customers base.
I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.
Dr. Archana Mehrotra
Director
STM Journals
Director's Desk
STM JOURNALS
1. A Novel Group Key Transfer Protocol based on Secret Sharing S. Navya Bimba Sahitya, P. S. Avadhani 1
2. An Interactive Jogging Application for Android OS Anish Mathew, A.J Jadhav, Rohan Menon, Sumit Saurabh 7
3. An Evaluation of Sentiment Analysis in Online Reviews using FRN AlgorithmI. Hemalatha, G. P. Saradhi Varma, A. Govardhan 14
4. Collocation Pattern AnalysisN K Kameswara Rao,G P Saradhi Varma1, M Nagabhushana Rao 21
5. Microsoft Kinect Sensor Technology and its Methods N. Anandakrishnan, S. Santhosh Baboo 29
ContentsJournal of Operating Systems Development & Trends
JoOSDT (2014)© STM Journals 2014. All Rights Reserved
Journal of Operating Systems Development & Trends
Volume 1, Issue 1
www.stmjournals.com
A Novel Group Key Transfer Protocol based on
Secret Sharing
S. Navya Bimba Sahitya1*,
P. S. Avadhani
2
AU College of Engg (A). Andhra University, Visakhapatnam, AP, India
Abstract Key transfer protocols use the key generation center for generation and transfer of all the session keys to the users. A key generation center generates a private key for each of the
group members. In this paper, the authors discuss an improved authenticated group key
transfer protocol based on secret sharing that depends on a key generation center (KGC) [1]. The secret sharing scheme is based on the Chinese Remainder Theorem. The KGC
broadcasts the group key information to all the group members. The authorized users can
recover the group key whereas the unauthorized cannot. This protocol assures both
confidentiality and authentication. These are analyzed in detail further.
Keywords: Group key transfer protocol, group key, session key, secret sharing
schemes, confidentiality
JoOSDT (2014) © STM Journals 2014. All Rights Reserved
Journal of Operating Systems Development & Trends
Volume 1, Issue 1
www.stmjournals.com
An Interactive Jogging Application for Android OS
Anish Mathew, A.J Jadhav, Rohan Menon*, Sumit Saurabh Dept. of Information Technology, Rajarshi Shahu College of Eng., Tathawade, Pune-33, India
Abstract In the last few years Android phones have become a huge part of our lives. Earlier we
used to have cell phones just to make calls or send messages but Android and its
applications have given a whole new definition to a cell phone. Android applications are fun to operate and many of them are quite useful in day-to-day life, but their usability still
isn’t as evolved as we would like. This application is basically a fitness application which will measure the distance travelled, average speed, total calories burnt, etc. like any
other application. In addition to these features progress bar, target graph and milestones
are there to give the user all kinds of useful data about your work out and keep you motivated to achieve greater levels of fitness through. With dedicated lock screen display,
toggle support, and night and day mode for better usability and battery conservation the
interface is very user friendly and thus easy and efficient to work with. We try to give both positive and negative feedback when the user is doing well or bad respectively. In order
to implement this we try to motivate the user by using various features like noise distortion while he is running slowly. The objective is to help ensure that the user is self-
motivated enough to lead a healthy lifestyle.
Keywords: Android application, fitness, usability
JoOSDT (2014)© STM Journals 2014. All Rights Reserved
Journal of Operating Systems Development & Trends
Volume 1, Issue 1
www.stmjournals.com
An Evaluation of Sentiment Analysis in Online Reviews
using FRN Algorithm
I. Hemalatha1*, G. P. Saradhi Varma
1, A. Govardhan
2
1S.R.K.R.Engineering College China-Amiram, Bhimavaram, India
2JNTUH, Hyderabad, India
Abstract The internet is rich in directional text (i.e., text containing opinions and emotions). World Wide Web provides volumes of text-based data about consumer preferences, stored in
online review websites, web forums, blogs, etc. Sentiment analysis is a technique to
classify people’s opinions in product reviews, blogs or social networks and has emerged as a method for mining opinions from such text archives. It uses machine learning
methods combined with linguistic attributes/features in order to identify among other
things the sentiment polarity (e.g., positive, negative, and neutral). The authors investigated supervised learning by incorporating linguistic rules and constraints that
could improve the performance of calculations and classifications.
Keywords: Opinions, sentiment analysis, machine learning
Journal of Operating Systems Development & Trends
Volume 1, Issue 1 www.stmjournals.com
Collocation Pattern Analysis
N K Kameswara Rao1*,G P Saradhi Varma1, M Nagabhushana Rao2 1SRKR Engineering College, Bhimavaram, Andhra Pradesh, India
2Swarnandra College of Engineering & Technology, Narasapuram, Andhra Pradesh, India
Abstract Spatial data mining becomes more attractive and significant as more spatial data is built up in spatial databases. Many GIS applications are using spatial patterns that are equal to association rules of a business data mining, i.e., online transaction processing (OLTP). Mining the spatial collocation patterns is a significant spatial data mining job with broad applications. Organizations having large data sets of spatial data need to do certain operations that incorporate methods of analyses and summarization which very much crucial; retailers are finding items frequently bought together to make plan catalogs, store arrangements, and promote products together by using Association rule finding in data mining technique; decision-support systems for getting improved information like transformations and trends that occur in the spatial zones. Particularly, the interpretation on the demonstration of collocation (co-location) pattern and its size change using semantically supported elements is more important to archaeologists, GIS scientists, governments, etc., for analyzing the changing trends in civilization. Many spatial datasets contain occurrence of a collection of Boolean spatial features. Spatial association statistics measure the concentration of an attribute over a space. Keywords: Spatial data mining, temporal mining, spatial knowledge, collocation, geographic information system
JoOSDT (2014)© STM Journals 2014. All Rights Reserved
JoOSDT (2014)© STM Journals 2014. All Rights Reserved
Journal of Operating Systems Development & Trends
Volume 1, Issue 1
www.stmjournals.com
Microsoft Kinect Sensor Technology and its Methods
N. Anandakrishnan1*, S. Santhosh Baboo
2
1Department of Computer Science, Providence College for Women, Coonoor, Tamil Nadu
2PG & Research Department of Computer Applications, D.G. Vaishnav College, Chennai, Tamil Nadu
Abstract Kinect is a technology that is capable of motion tracking and sensing. Kinect plays a
unique role in the study of identification. Its unique properties of being able to identify the objects are performed with a sensor. Kinect Sensors track objects based on the color
and data. Kinect sensors have been developed overtime for tracking various actions and
postures. Improvisations are inhibited within the technology based on identity, digitization, alpha channels, depth of color and sensors in Autism research. Major
concepts in Kinect and their enhancements are surveyed in this paper.
Keywords: Kinect, sensor, tracking, color data, depth data