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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
January 2018 | Vol. 96 No.2

Title:	LOW-COMPLEXITY HEVC INTRA-MODE DECISION USING MODES REDUCTION
Author:	AHMAD A. MAZHAR
Abstract:	Digital video technology has witnessed many important improvements in the last decade. Increasing video quality to be high resolutions is one of the most important developments in the field of video processing. Modern video sequences with higher resolutions led to larger consuming of storage capacity and transmission capability. Video compression became essential concern to avoid the impact of dealing with this huge amount of data. Devising efficient coding techniques came with high complexity and computation time. The High Efficiency Video Coding (HEVC) is one of the most popular encoding standards. It was designed for high-resolution video sequences. However, HEVC suffers from high encoding complexity. This paper proposes a fast intra prediction technique by reducing the number of comparisons in RDO process. In HEVC intra prediction, there are many candidates that may contain similar contents to the neighboring blocks. The content information and the direction of the most similar neighboring blocks are exploited to minimize the number of candidate blocks to speed up the encoding process.
Keywords:	HEVC, Intra Prediction, Mode Decision, RDO, Video Coding.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	LOCAL QUANTIZED EDGE BINARY PATTERNS FOR COLOUR TEXTURE IMAGE RETRIEVAL
Author:	G. SUCHARITHA, RANJAN K. SENAPATI
Abstract:	A new image retrieval technique has been proposed in this paper namely local quantized edge binary patterns using HSV color space. To make use of color, intensity and brightness of image HSV color space is used. Local quantized patterns are used to define the local information in all possible directions i.e0^0,〖45〗^0,〖90〗^0and〖135〗^0. Local edge binary patterns extract the maximum edge information from the quantized patterns in all directions in an image. Performance is compared with local binary pattern(LBP), Centre symmetric local binary pattern(CS_LBP) with color feature, local edge patterns for segmentation (LEPSEG) with color feature and wavelet transform with color feature and another existing method by conducting three experiments on standard databases Corel-10k, MIT-Vistex and Color Brodatz texture. After results investigation, a significant improvement in terms of their evaluation measures as compared with existing methods on respective databases.
Keywords:	Content Based Image Retrieval, Local Binary Patterns, HSV Color Space, Local Quantized Pattern, Edge Binary Patterns, Histograms, Feature Vector.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	TRUE COLOR IMAGE ENCRYPTION BASED ON DNA SEQUENCE, 3D CHAOTIC MAP, AND KEY-DEPENDENT DNA S-BOX OF AES
Author:	ASHWAK ALABAICHI
Abstract:	Digital image encryption techniques play crucial roles in preventing unauthorized accsess. In this study, color image encryption and decryption are performed through a technique that applies a 3Dchaotic map, DNA sequence, and the key-dependent DNA S-box of the Advanced Encryption Standard (AES) to get higher security. This technique comprises five steps: block transcription, encoding of DNA base, reverse/ reverse complement of DNA, use of a 3D chaotic map, and key-dependent DNA S-box of AES. In the proposed scheme, block transcription is performed to shuffle image pixels by changing their positions in the image. Encoding of DNA base and reverse/reverse complement of DNA are conducted to change pixel values, thereby diffusing the image. A 3D chaotic map is then utilized to generate a secret key for shuffling and diffusing the pixels of an image. The S-box of AES is scrambled by changing the coordinate values of the DNA S-box of AES to keep it obscured. Then, the image is substituted into the key-dependent DNA S-box of AES. The aforementioned processes aim to satisfy the high-level security requirement of certain encrypted images. The proposed algorithm is comprehensively tested using different criteria, such as the Number of Pixels Change Rate (NPCR), the Unified Averaged Changed Intensity(UACI), the Correlation Coefficient(CC), Information Entropy (IE), histogram, Mean Square Error (MSE), and key sensitivity analysis. Result shows that the proposed algorithm satisfies all the aforementioned criteria, thereby indicating that it is resistant to different types of attacks, including differential, statistical, and exhaustive attacks.
Keywords:	Chaotic map, block transcription, encoding of DNA base, reverse and reverse complement of DNA, 3D logistic map, 3D Chebyshev map, key-dependent DNA S-box of AES, NPCR, UACI, CC, IE, histogram, MSE, and key sensitivity analysis.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	E-FWARM: ENHANCED FUZZY-BASED WEIGHTED ASSOCIATION RULE MINING ALGORITHM
Author:	K. MANGAYARKKARASI, M. CHIDAMBARAM
Abstract:	In the Association Rule Mining (ARM) approach, equal weight is assigned to all itemsets in the dataset. Hence, it is not appropriate for all datasets. The weight should be assigned based on the significance of each itemset. The WARM reduces extra steps during the generation of rules. As, the Weighted ARM (WARM) uses the significance of each itemset, it is applied in the data mining. The Fuzzy-based WARM satisfies the downward closure property and prunes the insignificant rules by assigning the weight to the itemset. This reduces the computation time and execution time. This paper presents an Enhanced Fuzzy-based Weighted Association Rule Mining (E-FWARM) algorithm for efficient mining of the frequent itemsets. The pre-filtering method is applied to the input dataset to remove the item having low variance. Data discretization is performed and E-FWARM is applied for mining the frequent itemsets. The experimental results show that the proposed E-FWARM algorithm yields maximum frequent items, association rules, accuracy and minimum execution time than the existing algorithms.
Keywords:	Association Rule Mining (ARM), Data Mining, Frequent Itemset Mining, Fuzzy-based Weighted Association Rule Mining (FWARM)
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	MULTIVIEW BUSINESS MODEL FOR DESCRIBING A MECHANISM OF HANDLING PHYSICAL AND DIGITAL EVIDENCE IN DIGITAL FORENSICS
Author:	YUDI PRAYUDI, AHMAD ASHARI, TRI KUNTORO PRIYAMBODO
Abstract:	Digital evidence should be handled by the same mechanism with the physical evidence. Both types of such evidence should be complementary to support the investigation and data required in digital forensics activities. An appropriate business model is required to be able to support this mechanism. The existing business models, not yet able to explain the relationship between the three principal components in digital forensics: People who run activities, Digital Evidence as the primary object and Process which serves as a guide in conducting digital forensics activities. This study proposes a business model known as 3IR (Initiative-Investigative-Interactive-Report) as a multiview business model that can describe the relationship between the People - Digital Evidence - Process that must be understood in the activity of digital forensics and digital evidence handling. The proposed multiview business model has been able to provide an overview of how the mechanism is supposed to handle digital evidence to match the handling of physical evidence. The 3IR multiview business model is supposed to be used as a reference to comprehensively describing how to handle digital evidence in any digital forensics activities.
Keywords:	Business Model, Digital Forensics, Physical Evidence, Digital Evidence
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	DESIGN AND IMPLEMENTATION FOR MEDIA-AWARE TRANSMISSION METHOD BASED ON MMT
Author:	JONGHO PAIK, SONGYEON LEE, KYUNGA YU
Abstract:	Ultra-High-Definition (UHD) broadcasting, which is one of advanced broadcasting technologies, has met the users needs for high-definition and realistic services. By the way, UHD content is too large to be transported due to the limited bandwidth of existing HD broadcasting systems. In order to solve this problem, a lot of advanced broadcasting technologies have been suggested. One of the related researches proposed a UHD broadcasting service that each layer of video separated hierarchically are transmitted over heterogeneous networks. Unlike the existing MPEG-2 TS based on stream mode, UHD contents are transmitted based on packet mode. Therefore, to ensure the Quality of Service (QoS) of UHD content against inevitable packet delay, the UHD broadcasting system has to be taken into account the priorities of transmission depending on type of media and the layers of video simultaneously. In this paper, we propose a media-aware transmission method and also experimental results will be shown to verify the effectiveness of the proposed method.
Keywords:	MPEG Media Transport, Transmission Model, Scheduling, UHD, Hybrid Broadcasting System
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	A NEW FRAMEWORK FOR USABILITY EVALUATION WEB ENGINEERING METHODS
Author:	KARZAN WAKIL, DAYANG N. A. JAWAWI
Abstract:	Usability is an important attribute for measuring a quality of web engineering methods. Also, many usability evaluation methods proposed. The problem is web engineering methods can not complete web development lifecycle especially evaluation phase and the developers sometimes do not meet users expectations regarding usability. For expressing the actual feedback from developers directly, we have defined a new framework for usability evaluation of web engineering methods. The new framework consists of six phases, in these phases we defined web engineering process development, web application features, usability attributes, usability evaluation methods, and usability testing. In the usability testing, we use several ways for returning users feedback such as usability testing by expert and group developers, open-ended and close-ended questionnaires, and interviews. This framework is too strong for measuring usability of web engineering methods because it has reach feedback from developers.
Keywords:	Usability, Usability Evaluation, Web Engineering, Evaluation Method, Framework.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	ELECTRONIC GOVERNMENT ASSESSMENT IN WEST JAVA PROVINCE, INDONESIA
Author:	IRA IRAWATI ; ENJAT MUNAJAT
Abstract:	In the view of public administration, electronic Government (eGovernment) is the use of information and communication technology (ICT) to improve the activities of public sector organizations. Understanding eGovernment, is not only related to ICT, but all public sector activities are included. In relation with the excellent service that must be delivered by public institutions, the government began to concern about the application of Information and Communication Technology (ICT) for various services. With regard to the readiness of the Regional Device Work Unit (SKPD) to deliver services, the authors are interested in analyzing the readiness of some districts / cities in the West Java Province to see how far the SKPD is prepared in Bandung, West Bandung regency, Cimahi and Garut regencies in preparing everything to achieve an optimum service based on electronics. The method used is Quantitative method based on Hee Joon Song (2006) theory on 3 phases of eGovernment Action Plan (Pre-Implementation, Implementation, Post-Implementation) and he also does similar things in South Korea. For the pre-implementation stage, West Bandung regency occupies the first position with a value of 3.44 far above the other Regencies / Cities, and the lowest is the city of Bandung. In the implementation phase, Bandung still gets the lowest value even far below the average. It is quite getting attention is West Bandung regency, which in the pre-implementation phase gets the highest value, but in the implementation it is far below the average. This is caused by the lack of experience of the implementation process because West Bandung is the youngest area among others. For the post-implementation stage, Cimahi City domination is seen as the city with the best implementation and post-implementation phases, followed by Garut regency. This is quite reasonable considering that Cimahi is the best city for eGovernment implementation in 2011, and became a pilot city project for eGovernment implementation in 2014. It's just that the city of Bandung as a city that is also initiated as the will of Silicon Valley city of Indonesia seems to be trying to improve services in the field of eGovernment for even better. Given Bandung is the capital of the province as well as an icon of West Java.
Keywords:	ICT; e-Government, Indonesia, Public Administration, Services
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	SPATIAL MODEL OF KOPPEN CLIMATE CLASSIFICATION USING THIESSEN POLYGON OPTIMIZATION ALGORITHM
Author:	KRISTOKO DWI HARTOMO, SRI YULIANTO, J.P., EMMANUEL GUMILANGGENG
Abstract:	Global climate change significantly affects global and regional climate conditons. This research aims to predict climate distribution by using thiessen polygon algorithm optimization. Thiessen polygon weighs rainfall and measured surrounding areas to predict locations affected by surrounding climate condition. Our study produces spatial model of climate classification and thematic maps of spatial climate in the forms of types of spatial climates based on Koppen climate classification. The Central Java Province itself has three climate types, namely (af) wet tropical, (am) monsoon tropical, and dry wet tropical or savana tropical (aw). It is expected that our study could be used for reference of disaster impact mitigation, determining agricultural cropping patterns, transport navigation and disaster management.
Keywords:	Climate, Koppen, Thiessen Polygon, Spatial Model, Optimization, Algorithm.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	A DEPLOYMENT OF FSR SENSORS AND ITS SENSING ALGORITHM FOR IMPLEMENTING A SMART BED TO PREVENT PRESSURE ULCERS
Author:	YOUN-SIK HONG, DONG-YEONG KIM
Abstract:	The number of domestic senior care centers has increased exponentially. The biggest problem of the senior care centers is that they have absolutely insufficient manpower and need efficient management of patients with limited manpower. Patients with pressure ulcers often do not move themselves, so it is necessary to change their postures when lying down in the same position for a certain period of time. In particular, admission to a senior care center is known to be an important risk factor for the development of pressure ulcers. In the case of dementia patients, most of them are able to move themselves, so it is necessary to prevent falls or to tell nurses or caregivers whether they are lying in bed or not. We are interested in an implementation of a smart bed to aid nurses or caregivers for nursing elderly patients. The smart bed can detect the pressures occurred on a whole body of a patient at regular interval to prevent pressure ulcers and/or falling accident from the bed. The body structure of a person can be divided into three parts according to their characteristics: head, body, and leg. Legs, like arms, have weak loads and are frequently moving parts. On the other hand, the body is the area where the load is the largest and the area where the pressure ulcer occurs. Heads and legs can be measured only by the presence or absence of pressure, rather than by the exact location of the pressure. To do this, two types of pressure sensors are used to sense pressures on specific body parts depending on sensing purposes.
Keywords:	Pressure Ulcers, Fall Prevention, Pressure Sensor, FSR Sensors, Smart Bed, IOT
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	ALERT CORRELATION USING SUPPORT VECTOR MACHINE FOR MULTI INTRUSION DETECTION SYSTEMS
Author:	XIAOYUN YE, MYUNG-MOOK HAN
Abstract:	This paper presents a new alert correlation model for multiple intrusion detection systems. Based on the analysis of the complex relationship between the alert information of the intrusion detection system, an alert fusion model is proposed and used to alert correlation. The SVM algorithm has an advantage in the multi-dimensional classification, which can further reduce the influence of false positives and false negatives. The experimental results show that the alert fusion model has high accuracy and low false positive.
Keywords:	Alert Correlation, Intrusion Detection System(IDS), Support Vector Machine (SVM)
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	FEATURE SELECTION PRACTICE FOR UNSUPERVISED LEARNING OF CREDIT CARD FRAUD DETECTION
Author:	HOJIN LEE, DAHEE CHOI, HABIN YIM, EUNYOUNG CHOI, WOONG GO, TAEJIN LEE, INSUK KIM, KYUNGHO LEE
Abstract:	Unsupervised Learning processes the massive data and discover the underlying patterns, even though explicit target values are nonexistent. Achieving high predictability for Unsupervised Learning, we practiced to select most influenced feature related to fraud detect system among numerous data. Financial transactions are provided through various channels. On this account, selection of new feature brings increment either on time and cost. In this paper, we practiced the various Feature Selection to detect abnormal transactions exploiting Unsupervised Learning. Here, we select proper features by valuing weight on various Feature Selection Algorithms. The efficiency and accuracy of Feature Selection we practiced are demonstrated by credit card data set. Therefore, it provides rapid response in compliance with feature variance and guide to efficient feature selection.
Keywords:	Feature Selection, Unsupervised Learning, Credit Card Fraud Detection, Filtered Algorithm, Ranked Algorithm
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	TOWARD IMPLEMENTATION OF ONEM2M BASED IOT PLATFORM
Author:	VINCENTIUS CHRISTIAN ANDRIANTO, JUNHUY LAM, RYAN NATHANAEL SOENJOTO WIDODO, SANG-GON LEE , HOON-JAE LEE, HYO-TAEK LIM
Abstract:	A Many organizations have its own proprietary Internet of Things (IoT) architecture. This creates additional processes such as system extension, integrating new data, managing device, and adding security become difficult, especially when it involves multiple platforms. In order to solve this problem, the standardized oneM2M architecture was initiated. OCEAN is an IoT platform based on oneM2M standards. This work presents an implementation of oneM2M based IoT platform using OCEAN, in which the system is built from the proposed smart home scenario.
Keywords:	Internet of Things, M2M, MQTT, OCEAN, oneM2M.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	DEVELOPMENT OF MAZE ESCAPE ALGORITHM USING RASPBERRY PI-BASED MOVING OBJECT FOR THE SERVICES OF UNMANNED AUTOMOBILE
Author:	SANG-CHUL KIM, GOO-HOON BYUN
Abstract:	In this paper, we developed a self-propelled vehicle using Raspberry Pi-based moving object that performs the mission to escape from the maze that will be used as key algorithms for the services of unmanned automobile. For the mission of maze escape, the line tracing and intersection discrimination algorithms have been developed using Raspberry Pi-based moving object. Various situations that occur during the experiments have been studied and solutions to solve them have been investigated. As the related research, a front collision avoidance system that avoids obstacles by recognizing the distances between moving object and obstacles when performing the mission of maze escape has been developed and a lane-keeping system between vehicles by employing various algorithms using the Raspberry Pi and Arduino based moving objects was developed. Finally, we observed the experimental results between the left-hand and right hand methods in the mission of maze escape.
Keywords:	Raspberry Pi, Raspberry Pi-based Moving Object, Maze Escape, Right-hand Method, Motor Control
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	A DATA PROPAGATION METHOD CONVEYING OPERATOR INTENT FOR WIRELESS SENSOR NETWORKS
Author:	HEEJUNG BYUN, SUMI YANG
Abstract:	In this paper, we propose a data propagation method inspired by epidemic theory with aims of delay reduction and energy saving in Wireless Sensor Networks (WSNs). Also, we propose a control method for conveying operator intent to the WSNs. The proposed method controls the state of a sensor node depending on the delay requirements of a specific application and allows users to interact with the WSNs to convey desired parameter values for the operations. We analyze the proposed method based on control theory and show the convergence and stability of the WSN system. Simulation results indicate that the proposed method achieves reliable data propagation and user intent delivery while saving energy consumption in the WSN system.
Keywords:	Wireless sensor networks, Data propagation, Parameter setting
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	EXPLORING THE ROLE OF SOCIAL CAPITAL IN IMPLEMENTING A COLLABORATIVE SCM SYSTEM
Author:	DONG HYUK JO, JONG WOO PARK
Abstract:	In recent years, since uncertainty increases in business environment and market competition intensifies, the importance of collaborative supply chain management (SCM) is increasing. Companies need to collaborate with partner Firms within the supply chain from the perspective of strategy and system to respond quickly to dynamic market changes. Therefore, this study was conducted with the aim to seek ways to implement the collaborative supply management system of manufacturing Firms from the perspective of social capital. To achieve the purpose of this study, the author examined the concept and dimensions of social capital and supply chain collaboration through literature review and empirically verified the influencing relationship between the social capital, collaborative supply chain management system, and supply chain performance of manufacturing Firms. This study is meaningful in that the author confirmed the importance of social capital formation and collaborative SCM system establishment for enhancing the competitiveness of manufacturing Firms, and suggested the strategic directions of the supply chain management that can contribute to improving supply chain performance.
Keywords:	Supply Chain Management (SCM), SCM Systems, Social Capital, Supply Chain Collaboration, Supply Chain Performance, Small And Medium-Sized Enterprises (SMes)
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	UNDERSTANDING THE ACCEPTANCE OF IT-BASED SHARING ECONOMIC SERVICES
Author:	DONG HYUK JO, JONG WOO PARK, HONG SEOK PARK
Abstract:	This study aims to empirically verify the structural relationships between perceived risks, perceived values, trust, and intention to use for sharing economy services. In order to achieve the objective of this study, the survey was conducted targeting the car sharing service which has been noticeably growing in the sharing economy service. In the results of the study, first, the perceived risks of sharing economy service had negative(-) effect on the perceived values. Second, the perceived risks had negative(-) effect on trust. Third, the economic value and social value had positive(+) effect on trust while the functional value not had effect on trust. Fourth, the functional value and economic value had positive(+) effect on the intention of use while the social value not had effect on the intention to use. Lastly, trust had positive(+) effect on the intention to use. This study provided a chance to understand the risks and values actually perceived by potential users before the full-scale vitalization of sharing economy service, and also to see the importance of trust. Moreover, it also suggested the direction to establish strategies for the vitalization of services.
Keywords:	Sharing Economy Services, Perceived Risk, Perceived Values, Trust, Intention to Use
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	RECONSTRUCTIONS OF MARKET VALUES ACCORDING TO THE ICT-BASED CREATED VALUES TO REACH MARKET EQUILIBRIUM
Author:	HYUN JUNG LEE, YONG SIK CHANG
Abstract:	In this research, we are focusing on the reconstructions of market values according to created services and products in ICT-based environment. The 4th industrial revolution is based on ICT-based technologies like IoT, Big data, AI, and so on. The converged technologies are applied to economies and societies in the direction of creation of new services and products. In the market, it is possible to be conflicted between market values which come from ICT- and non-ICT-based services and products. So, we propose the market equilibrium to solve the confliction of value chains. In the created ICT-based new market, it is possible for multiple value-chains to share values in a market unlike traditional market. To do this, in the value chains, we define priority values which are created primary values in the value chains. It is also necessary to determine conflicted and destroyed values to maximize the market value in each value chain. It also accelerates to increase the global market value in the converged market like a platform. To do this, it is important to reconstruct the market values because ICT-based market creation will be tremendously increased. In this paper, we will discuss for the coexistence of the ICT-based created values in a market and the traditional and ICT-based value chains. To do this, especially, we are comparing the market value of healthcare service with that of ICT-based e-healthcare service.
Keywords:	ICT, Market Value, Equilibrium, Healthcare Service, Value Chain
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	DIMINISHING MAC OVERHEAD BY USE OF PERIODIC AND COOPERATIVE ACK SCHEMES IN 802.11 WIRELESS NETWORKS
Author:	AYINEBYONA ELIAB, JONGSUN PARK, JUNGMIN SO
Abstract:	This paper presents schemes that reduces ACK (acknowledgement) overhead in IEEE 802.11 wireless networks and further improve network performance in high error rate cases. While the ACK takes only 20us in 802.11a at 54Mbps, a combination of SIFS period and preamble makes ACK the second largest overhead next to channel access overhead. To reduce ACK overhead, we proposed periodic and cooperative ACK schemes. In periodic ACK scheme, a single ACK is used to periodically acknowledge multiple packets received independently at different transmission occasions on each channel separately. However, the periodic ACK scheme suffers throughput degradation in high error rates. To overcome this issue, a cooperative ACK scheme was applied. In cooperative ACK, a single ACK is sent on one of the active channels to acknowledge multiple packets received on different channels collectively, rather than acknowledging multiple packets received on each channel separately. This reduces ACK timeouts that would result in excessive retransmissions since an ACK timeout on one channel would be recovered on another channel thus improving network performance. Extensive simulation in ns3 shows that the proposed schemes improve network throughput by considerable amount in various environments.
Keywords:	IEEE 802.11, MAC overhead, Multi-radio, Acknowledgment
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	THE EFFECTS OF CUSTOMER SATISFACTION WITH E-COMMERCE SYSTEM
Author:	ALOTAIBI KHALID, OOK LEE, MINKYONG CHOI, JONGCHANG AHN
Abstract:	With the rapid growth of e-commerce in Saudi Arabia, this country is the biggest e-commerce market in the Arab world. This paper aims to examine the degree of customer satisfaction with e-commerce system in Saudi Arabia using modified American customer satisfaction index (ACSI) model. The model was tested using 149 sample data obtained from online survey. The findings indicate that customer satisfaction with e-commerce system was affected by customer expectation, e-commerce service quality and perceived value. In addition, perceived value was affected by customer expectation and e-commerce service quality, while e-commerce service quality was affected by customer expectation. The findings suggest that e-commerce service quality is main key element affecting customer satisfaction with e-commerce system which is accordance with Saudi Arabian online customers who have more concerns on e-commerce service, particularly related to security and payment method.
Keywords:	Customer expectation, Customer Satisfaction, E-commerce, Perceived quality, Service quality
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	A STUDY ON MOBILE ERP APPLICATION USAGE OF SMARTPHONES: A CASE OF TRAVELING SALESMAN IN PHARMACEUTICAL COMPANY
Author:	SANGMIN LEE, KUN DONG CHOI
Abstract:	Today, many organizations have implemented the ERP system to enhance the efficiencies of their business processes regardless of the company size and industry sector. Moreover, lots of the organizations have already adopted the mobile version of the ERP system, which actually provide the interface to enable to get access to the back-end ERP system. In this sense, it is obvious that mobile applications that connects to the companys ERP systems is very useful tool for traveling sales forces since they can complete their tasks without having to open their laptop. In Korea, Pharmaceutical companies are one of the largest industry sectors who are quite dependent on the salespersons competencies. However, not many studies regarding the mobile ERP application usage in pharmaceutical industry were found. Thus, this study examined what influences the salespersons satisfaction level when they use a mobile ERP application. In addition, the relationships between the user satisfaction level in pharmaceutical industry and that of other industry sectors were investigated. To achieve this goal, this study examined variety of existing mobile application evaluation model, and constructed a conceptual model by adopting some factors from TAM and D&Ms IS success model in order to satisfy the research objectives. This study found not only the significant factors that influenced the satisfaction level of the sales forces in pharmaceutical companies, but also the factors of user satisfactions that varied across industry sectors.
Keywords:	Mobile Applications, M-ERP, User Acceptance Model, User Behavior, TAM, D&M IS Success Model
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	MULTI-LEVEL ATTRIBUTE-BASED MATCHING APPROACH TOWARDS ENERGY-EFFICIENT RESOURCE PROVISIONING IN CLOUD DATA CENTERS
Author:	FRANK ELIJORDE, SUNGHO KIM, JAEWAN LEE
Abstract:	In this paper, we present a resource provisioning technique which classifies data center entities through their attributes as characterized by their resource requirements. The classification process enables the multi-level matching approach which assigns client requests to the most appropriate VM, while the VM is assigned to a Host of similar characteristics. By considering the multi-dimensionality of compute resources, data center entities which include applications, VMs, and Hosts, are consolidated and assigned according to the most proportionate available resource. Evaluation results confirm the benefits of applying such techniques on the performance and energy consumption of a cloud data center.
Keywords:	Resource Provisioning, Cloud Data Centers, VM Consolidation, Cloud Computing, Green Computing
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	EXTENDED BLOCK NEIGHBOR DISCOVERY PROTOCOL FOR HETEROGENEOUS WIRELESS SENSOR NETWORK APPLICATIONS
Author:	WOOSIK LEE, NAMGI KIM, TEUK SEOB SONG, JONG-HOON YOUN
Abstract:	For heterogeneous wireless sensor network applications, sensor nodes need diverse duty cycles and energy efficient neighbor discovery protocols (NDPs) so that they can rapidly find their neighbor nodes. However, existing block NDPs have very limited duty cycle sets. To solve this problem, we propose extended block NDP (EBNDP), a protocol that can support diverse duty cycles. EBNDP adaptively generates block candidates depending on duty cycle requirements. It selects block sets based on a heuristic search approach and combines the selected block sets to make a new block design. This combined block design supports the duty cycle requirements and has proper performance that is close to optimal block design regarding latency and energy consumption. To evaluate the effectiveness of EBNDP, we implemented various block combinations depending on the duty cycles and compared the performance of each block combination. We also compared EBNDP with other NDPs such as Quorum, Optimal, Random, and OR-based NDPs. Through experimentation, we showed that EBNDP outperformed other NDPs in all duty cycles.
Keywords:	Wireless Sensor Network, Neighbor Discovery Protocol, Block Design
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	IMPROVING SOFTWARE ARTIFACTS REUSABILITY BASED ON CONTEXT-AWARE REUSE TECHNIQUE
Author:	DOOHWAN KIM, JANG-EUI HONG
Abstract:	Reusing software artifacts is not limited to only source codes, but also various artifacts which are created in software projects. However, traditional artifacts reuse approach has some problems of difficulties to find an appropriate artifact and to choose suitable terms as search keywords. To reduce the difficulties and enhance reusability of software artifacts, this paper presents some novel techniques based on context-aware reuse; which are context-based automatic keyword generation, ontology-based keyword extension, context-aware retrieval and learning-based result visualization. To realize the techniques, we firstly defined microComponent with the smaller unit (section) of a document as the reusable unit. And then we focus on to how can we retrieve and reuse the microComponents with the concept of context-aware. Our technique can precisely control the reusable unit, and enhance reusability of software artifacts based on the microComponents.
Keywords:	Software Artifact, Reusability, Context-aware Reuse, microComponent, Reuse Framework.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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Title:	OPTICAL METHODS OF IDENTIFYING THE VARIETIES OF THE COMPONENTS OF GRAIN MIXTURES BASED ON USING ARTIFCIAL NEURAL NETWORKS FOR DATA ANALYSIS
Author:	ARTEM O. DONSKIKH, DMITRY A. MINAKOV, ALEXANDER A. SIROTA
Abstract:	The article considers methods of identifying the varieties of the components of grain mixtures based on the spectral analysis in the visible and near-infrared wavelength ranges. Various measurement approaches - reflection, transmission and combined spectrum methods - are used. The results of the spectral measurement are processed using neural network based classification algorithms combined with data dimensionality reduction techniques. The probabilities of incorrect recognition for various numbers of features and combinations of spectral methods are estimated for mixtures of wheat grains. Combined use of spectral methods allowed to reduce the classification error by about ten times and bring its absolute value to 0.01...0.001.
Keywords:	Spectral Analysis, Grain Mixtures, Wheat, Pattern Recognition, Neural Networks
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2018 -- Vol. 96. No. 2 -- 2018
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