EditorialAdvanced Internet of Things and Big Data Technology for SmartHuman-Care Services

Mucheol Kim ,1 Ka Lok Man,2 and Nurmamat Helil3,4

1Chung-Ang University, Seoul, Republic of Korea2Xi’an Jiaotong-Liverpool University, Suzhou, China3University of Minnesota Twin Cities, Minneapolis, USA4Xinjiang University, Xinjian, China

Correspondence should be addressed to Mucheol Kim; mucheol.kim@gmail.com

Received 24 October 2018; Accepted 5 December 2018; Published 17 February 2019

Copyright © 2019 Mucheol Kim et al. This is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Recently, the range of Internet of things (IoT) technologycould be utilized in the real world by the rapid spread ofsensor devices. Various sensed information such as tem-perature, illumination, pressure, and object detection hasbecome a basic point for solving solutions to complexproblems that have been difficult to solve by convergencewith big data. Particularly, not only the detection ofhuman health and changes in the natural environmentbut also the rapid development of the analysis and appli-cation technology is continuing. As a result, it is expectedto dramatically improve the prediction of disaster andquality of life.

In order to implement IoT-based human-care technol-ogy for improving the quality of life, we aim to deal withsensor technology and communication technologies as wellas big data analytics and its applications. This includes awide range of application technologies that can be realizedin real life as well as theoretical problem solving in relationto the IoT.

In this special issue, the latest research efforts on newtheories, technologies, and research are related to IoT andbig data technology for smart human-care services and toimprove advanced technology. 25 research papers are pub-lished in this issue, covering a wide variety of topics includingadvanced sensor technology for smart human-care services,management issues of social network big data for smarthuman-care services, data and knowledge mining for smarthuman-care services, emerging IoT applications and sys-tems for smart human-care services, and IoT solutions

for well-being and active ageing. The highlights of thesepapers are summarized as follows.

The article titled “A Study on a Secure USB MechanismThat Prevents the Exposure of Authentication Informationfor Smart Human Care Services” by K. Lee et al. presents asecure USB mechanism that prevents leakages of authentica-tion data and does not compare authentication data forsmart human-care services, which have been a fundamentalproblem of existing flash drives.

The article titled “Fog Computing-Based IoT for HealthMonitoring System” by A. Paul et al. was proposed to usefog computing to help monitor patients suffering fromchronic diseases such that the data are collected and proc-essed in an efficient manner.

The article titled “Beacon-Based Time-Spatial Recogni-tion toward Automatic Daily Care Reporting for NursingHomes” by T. Morita et al. presented an automatic dailyreport generation system that monitors the activities ofnursing home residents. The proposed system estimated themultiple locations at which residents are situated with aBLE beacon and recognizes the activity of each resident fromthe estimated area information.

In the article titled “OperaBLE: An IoT-Based Wearableto Improve Efficiency and Smart Worker Care Services inIndustry 4.0,” L. Roda-Sanchez et al. introduced OperaBLE,a Bluetooth Low Energy (BLE) wearable proposal whichis aimed at enhancing working conditions and efficiencyin Industry 4.0 scenarios. The proposed approach haddeveloped two algorithms for OperaBLE focused on power

HindawiJournal of SensorsVolume 2019, Article ID 1654013, 3 pageshttps://doi.org/10.1155/2019/1654013

awareness as Low-Frequency Movement CharacterisationAlgorithm (LoMoCA) and Adaptive Heart Rate Algorithm(AHRA).

In the article titled “Secure Data Encryption forCloud-Based Human Care Services,” T. Park et al. proposedefficient parallel implementations of Simeck family blockciphers on modern 64-bit Intel processors. In order toaccelerate the performance, an adaptive encryption tech-nique was also exploited for load balancing of the resultingbig data. Finally, the proposed implementations achieved3.5 cycles/byte and 4.6 cycles/byte for Simeck32/64 andSimeck64/128 encryption, respectively.

The article titled “Human Emotional Care PurposedAutomatic Remote Portrait Drawing Generation and DisplaySystem Using Wearable Heart Rate Sensor and SmartphoneCamera with Depth Perception” by G. Lee et al. proposed asystem that automatically generates portrait drawings forthe purpose of human emotional care. The user can recallthe exciting and happy moment of the day through admiringthe drawings and heal the emotion accordingly. To stylizephotographs as portrait drawings, nonphotorealistic render-ing (NPR) methods including a portrait etude stylizationwere proposed.

In the article titled “Biological-Signal-Based User-Interface System for Virtual-Reality Applications forHealthcare” by S. H. Nam et al., the proposed systemextracted biological signal data from multiple biological sig-nal data and simultaneously extracted and analyzed thedata from a virtual reality-specific eye-tracking device thatwas developed so that users who develop healthcarecontents based on virtual reality technology can easily usethe biological signals.

In the article titled “Landmark-Guided Local DeepNeural Networks for Age and Gender Classification,” Y.Zhang and T. Xu proposed to construct a local deep neuralnetwork for age and gender classification. The proposedmodel selected local image patches based on the detectedfacial landmarks.

The article titled “Video Retrieval System for MeniscalSurgery to Improve Health Care Services” by S. Amanatet al. proposed a training mechanism to the decumbent ratiothrough a video retrieval system. This research work wasfocused on developing a corpus and video retrieval systemfor meniscus surgery. Using the proposed system, surgeonscan access guidance by watching the videos of surgeriesperformed by an expert and their seniors.

The article titled “Application of a Mobile ChronicDisease Health-Care System for Hypertension Based on BigData Platforms” by D. Li et al. presented the provision of apractical assistant system for self-based patient health care,as well as the design of a complementary system for patientdisease diagnosis.

The article titled “IoT Smart Home Adoption: TheImportance of Proper Level Automation” by H. Yang et al.examined the smart home service features that current usersrequire and empirically evaluates the relationship betweenthe critical factors and the adoption behavior with 216samples from Korea. The moderating effect of personalcharacteristics on behavior is also tested.

The article titled “Real-Time Cloud-Based HealthTracking and Monitoring System in Designed Boundary forCardiology Patients” by A. Shahzad et al. was made to trackand monitor the real-time medical information, boundedin an authorized area, through the modeling of privatecloud computing. The private cloud-based environment isdesigned, for patient health monitoring called the boundedtelemonitoring system, to acquire the real-time medicalinformation of patients that resided in the boundary,inside medical wards and outside medical wards, of themedical center.

The article titled “IoT-Based Smart Building Environ-ment Service for Occupants’ Thermal Comfort” by H. Parkand S.-B. Rhee presented an Internet of things (IoT) platformfor a smart building which provides human-care services foroccupants. The individual health profiles of the occupantswere acquired by the IoT-based smart building, which usesthe accumulated knowledge of the occupants to providebetter services. The proposed model was based on the heatbalance equation of human body and thermal characteristicsof the occupants.

The article titled “Efficient Heterogeneous Network-Routing Method Based on Dynamic Control Middlewarefor Cyber-Physical System” by H. Lee et al. proposed arouting technique which enables network devices tocommunicate using different protocols. The proposednetwork-routing module can register devices with variousprotocols and improve the stability of the efficient heteroge-neous network.

In the article titled “Intrusion Detection System Based onEvolving Rules for Wireless Sensor Networks,” N. Lu et al.presented an evolving mechanism to extract the rules forintrusion detection. To extract diversified rules as well ascontrol the quantity of rulesets, the extracted rules areexamined according to the distance between the rules in therule set of the same class and the rules in the rule set ofdifferent classes. Thereby, it alleviated the problem that thequantity of rules expands unexpectedly with the evolvinggenetic network programming.

The article titled “Multistandard Receiver Design forTelemedicine Monitoring System” by H. Wang et al. pro-posed a solution for aliasing in receivers that can reducethe limitations in sampling frequency, improve spectrumutilization, and realize multistandard receivers. This papergave the constraint conditions for frequency selection anda method to process aliasing by more than two standardsignals.

The article titled “T-S Fuzzy-Based Optimal Control forMinimally Invasive Robotic Surgery with Input Saturation”by F. Wang et al. presented a Takagi-Sugeno fuzzy model-based controller for a minimally invasive surgery robot withactuator saturation. The contractively invariant ellipsoidtheorem was applied for the actuator saturation. Theproposed approach can be derived using the infinity controltheorem and parallel distributed compensation.

The article titled “Performance Analysis of Dual-Polarized Massive MIMO System with Human-Care IoTDevices for Cellular Networks” by J.-K. Hong archived theperformance analysis when various human-care IoT devices

2 Journal of Sensors

are connected to cellular networks via a dual-polarizedmassive MIMO system. There had not been an analysisthat considers the performance between the massiveMIMO system and IoT devices for cellular networks. Inaddition, dual-polarized transmit and receive antennaswere proposed for BS and IoT devices, respectively, toinstall more antennas and achieve higher performancesin limited space.

The article titled “A Development of Clinical DecisionSupport System for Video Head Impulse Test Based on FuzzyInference System” by D. T. A. Nguyen et al. presented theclinical decision support system for the video head impulsetest (vHIT) based on a fuzzy inference system. It examinedthe eye and head movement recorded by the eye movementtracking device, calculates the vestibulo-ocular reflex (VOR)gain, and applies the fuzzy inference system to output thenormality and artifact index of the test result.

In the article titled “Mcredit2: Enhanced High-Performance Xen Scheduler via Dynamic Weight Alloca-tion,” M. Kang and S. Lee proposed the Mcredit2 scheduler,which improves the Credit2 scheduler. The Credit2 sched-uler takes no action when the load on a specific domaincauses increased processor usage. The proposed Mcredit2scheduler allowed a domain to quickly process loads bytemporarily assigning a greater weight value to a host withhigh processor usage.

In the article titled “A Study of Prescriptive AnalysisFramework for Human Care Services Based on CKANCloud,” J. Gim et al. proposed a prescriptive analysisframework using a 5W1H method based on CKAN cloud.Through the CKAN cloud environment, IoT sensor datastored in individual CKANs can be integrated based oncommon concepts. As a result, it is possible to generatean integrated knowledge graph considering interoperabilityof data, and the underlying data is used as the base datafor prescriptive analysis.

In the article titled “Theory and Application ofAudio-Based Assessment of Cough,” Y. Shi et al. introducedsome successful cough monitoring equipment and theirrecognition algorithm in detail. It can be obtained that,firstly, acoustic variability of cough sounds within andbetween individuals makes it difficult to assess the inten-sity of coughing.

In the article titled “Analysis of Shooting Consistency inArchers: A Dynamic Time Warping Algorithm-BasedApproach,” C.-H. Quan et al. measured bow-forearm move-ment by using inertia sensors during archery shooting toevaluate the shooting consistency of archers. They alsoattempted to provide movement analysis tools that workprecisely and conveniently. Shooting consistency was definedas the function of the dynamic time warping (DTW) distancebetween two time sequences of acceleration data calculatedwith the DTW algorithm.

In the article titled “The Intelligent Healthcare DataManagement System Using Nanosensors,” U.-O. Dorj et al.developed a design of the Intelligent Healthcare DataManagement System (IHDMS) using nanosensors andcomposed an application for a mobile device. The proposedIHDMS could coordinate the healthcare data of the patients

from nanosensors and transforms it into a worldwide con-sumed standard HL7 (Health Level Seven) for the conversionof healthcare data.

The article titled “Detection of Freezing of Gait UsingTemplate-Matching-Based Approaches” by C. Xu et al.presented a template-matching-based improved subsequencedynamic time warping (IsDTW) method. The proposedapproach could realize the real-time and high precisionFOG detection and alarm.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

We would like to thank all the authors for their contributionsand the anonymous reviewers for their voluntary supportand constructive critiques in making this special issuepossible.

Mucheol KimKa Lok Man

Nurmamat Helil

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