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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
June 2019 | Vol. 97 No.12

Title:	DEVELOPMENT OF SUSTAINABILITY SYSTEMS FOR OPEN GOVERNMENT DATA (OGD) MANAGEMENT BY COMBINING THE SHEL MODEL AND SOFT SYSTEMS METHODOLOGY ANALYSIS
Author:	RETNOWATI RETNOWATI, DANNY MANONGGA, HARI SUNARTO
Abstract:	OGD is an agreement of countries in the world to implement disclosure of public information. This agreement is also applied in Indonesia. One of the most important problems in managing Open Government Data (OGD) is the ability to collect, classify information, publish, and present information. OGD management in Indonesia is carried out by the Information and Document Management Officer (IDMO). Research on OGD in Indonesia is still very minimal and limited to the issue of initiating the implementation of OGD. In fact, the problems that occur are not only at the organizational level, but also need to be focused on the actors or information management employees working on IDMOs. The important thing is how OGD should be managed, so that all information which are produced must be carried out for the benefit of the community. When the right OGD management model can be carried out, then the concept of service to the community should also be developed and implemented as better as possible as a manifestation of the sustainability of OGD implementation. This study uses a qualitative method with the chosen rationality approach is the soft systems methodology (SSM). The results obtained from this study are the OGD management model that adopts the SHEL concept, namely strengthening the understanding, use and strengthening of software, hardware, environment and life-ware. And when the SHEL can be done well, the concept of service to the community must also be improved by adopting the concept of RATER (Reliability, Assurance, Tangible, Empathy, and Responsiveness). The combination of SHEL and RATER is a conceptual model and change plan to strengthen management and maintain the sustainability of OGD implementation in Indonesia through IDMO in all local governments.
Keywords:	Shel Model, RATER, Soft-System Methodology, OGD Management, OGD Sustainability
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	ANALYSIS OF THE FACTORS AFFECTING REPURCHASE INTENTION IN SOCIAL COMMERCE IN INDONESIA
Author:	WULAN YUWANTI, ATUR SUMEDI, TOMMI RAHMAN PERDANA, SFENRIANTO, SFENRIANTO, EMIL ROBERT KABURUAN
Abstract:	E-commerce use in Indonesia continues to increase rapidly to market a product or service. Currently e-commerce has new a new form which is called social commerce. Social media is used by social commerce as a tool for buying and selling transactions because of its ease. Thus, interesting to know what causes customers to do repurchase intention in social commerce. For this reason, authors conducted research to look for factors that have significant influence on intention to repurchase in social commerce. The variable of this research model uses variable of customer experience, customer satisfaction, service quality, information quality and trust. Total of respondents in this study amounted to 384 respondents using Multiple Linear Regression as analytical method. In this sudy, the result shows that customer experience, customer satisfaction and service quality significantly influence the repurchase intention in social commerce. Meanwhile, information quality and trust have no significant influence on repurchase intention in social commerce.
Keywords:	E-Commerce, Social Commerce, Repurchase Intention, Multiple Linear Regression
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	IMAGE INDEXING AND RETRIEVAL USING VISUAL PERCEPTUAL LEARNING IN HUMAN OBJECT RECOGNITION
Author:	FIRAS ABDALLAH, SHADI KHAWANDI, ANIS ISMAIL
Abstract:	Image indexing and retrieval became an interesting field of research nowadays due to the lack of advanced methodologies to index and retrieve images and to the existence of huge quantities of images available everywhere; especially on the web. The available solutions are able to find similar items having the exact shape but not the same item if it has a different shape. In this paper, we propose cloning the human being visual perception and cognitive learning to recognize, index and retrieve images. In Computer Vision, Mesh data structure is used for its capacity of neighboring, therefore Mesh data structure will be used for the fact that human being groups objects in categories where neighboring is essential for indexing and retrieval. The proposed methodology is intelligent in the way that retrieving images lead into an insertion of the searched image. In addition to that the proposed solution will be able to recognize items having different shape from their features.
Keywords:	Image, Indexing And Retrieval, Visual Perception, Cognitive Learning, Shape.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	THE EFFECT OF STATOR WINDING PARAMETER DESIGN TO THE MAGNETIC FLUX CHARACTERISTICS IN HIGH-SPEED MOTOR APPLICATIONS
Author:	WAWAN PURWANTO, HASAN MAKSUM, TOTO SUGIARTO, M NASIR, MARTIAS, FAHMI RIZAL
Abstract:	The purposed of this research is an evaluation of magnetic flux characteristics for the high-speed motors in different stator winding topologies. This is essentiality for developing a stator arrangement with lower stator leakage and higher magnetic flux linkage. The topologies of stator parameters are generated using Hooke-Jeeves optimization, Taguchi method, and response surface methodology (RSM). The influence of stator winding topologies obtained from design optimizations are evaluated by using flux linkage finite element analysis. The stator leakage and magnetic flux resulting from finite element are verified with prototype motor model produced by Taguchi method optimization. The result confirm that proposed designs reduce stator leakage reactance and increase magnetic flux linkage than initial design had. A comparing of the optimize design and the prototype experimental results confirm the reasonable of the suggested motor model.
Keywords:	Hooke-Jeeves Optimization, Magnetic Flux Linkage, Response Surface Methodology, Taguchi Method, Stator Parameters
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	EFFICIENT VERTICAL HANDOFF IN HETEROGENEOUS NETWORK BY CEAM PROTOCOL
Author:	FARAH PATHAN , DR. JAYMIN BHALANI
Abstract:	Heterogeneous wireless networks comprise of variety of wireless technologies integrated to satisfy user’s demand. In these heterogeneous networks, the vertical handover problem exists and causes issues in satisfying user demand which are tackled by handover algorithm. Even though, the Vertical handover algorithm tackles the handover problem internally they are in the need to select optimum network among the available networks with energy preserving for their efficient process. In order to satisfy the above stated need in this framework, an Energy Effective Context Based handover algorithm, CEAM (Context and Energy Aware MADM) Protocol is formulated. Multiple attribute decision making (MADM) based on CANVI handover algorithm are capable in selecting optimum network having requisite set of context parameters. Context information related to quality of service parameters offered by networks varies with movement of mobile terminal, which is more efficient, and optimal way of content finding by ANFIS and similarly the ideal solution is found out by vector normalized preferred performance based VIKOR method. The performance has been analyzed for conversational traffic and compared with other available normalization methods based on CANVI (Context Aware ANFIS-VIKOR) Algorithm and energy efficient resource allocation by Mutt FG-CRA algorithm. Simulation results show that the proposed algorithm performs better in terms of network selection and number of handovers as compared with other methods used in this work.
Keywords:	ANFIS, CANVI, CEAM, FG-CRA, VIKOR
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	EFFICIENT LOW DETAILED IMAGE ENCRYPTION USING LOGISTIC MAP AND FrFT TRANSFORM IN DIFFERENT MODES OF OPERATION
Author:	ASHRAF AFIFI
Abstract:	This paper presents an efficient encryption for low detailed image using logistic map and fractional Fourier transform (FrFT) in different modes of operation. The proposed cryptosystem employed logistic map with the FrFT using different modes of operation. The proposed cryptosystem is composed of two phases; encryption phase and decryption phase. The encryption phase began with applying the FrFT on the few detailed plain image. Then, the plain image is encrypted using logistic map in different operation modes. While in the decryption phase, this scenario will be reversed. The efficiency of the proposed image cryptosystem is investigated using different encryption quality metrics via simulation. The obtained results confirmed the viability of the proposed cryptosystem in CBC,CFB, and OFB operation modes. Moreover, the proposed system is successively applicable in terms of security encryption.
Keywords:	Five Image Encryption, ECB, CBC, OFB, CFB, Digital Communications, Few Details Images.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	SPEAKERS AND AUDITORS SELECTION TECHNIQUE IN ASSESSING SPEECH INFORMATION SECURITY
Author:	YERZHAN N. SEITKULOV, SEILKHAN N. BORANBAYEV, HENADZI V. DAVYDAU, ALEKSANDR V. PATAPOVICH
Abstract:	The article is devoted to the requirements development for speakers and auditors in assessing speech information security. Speakers selection features and methods of their preparation for reading the text are considered. The choice of texts for articulation measurements method when assessing speech intelligibility and masking it with combined signals is substantiated. A technique for selecting auditors for auditory sensitivity and their training in speech perception in conditions of strong noise is proposed.
Keywords:	Speech Intelligibility; Voice Information Security; Announcers; Auditors; Auditory Sensitivity; Articulation Method.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	STUDYING OPEN BANKING PLATFORMS WITH OPEN SOURCE CODE
Author:	ANDREY KOLYCHEV, KONSTANTIN ZAYTSEV
Abstract:	Intensive growth of public web interfaces started early in 2010; and if initially API was a procedure of interaction of various software tools, then at present web interfaces are genuine digital products on the basis of which companies, especially major companies, can derive profits while providing their internal services to third parties via open API. Banks are not an exception. They also can derive profits by providing access to their internal services for third-party developers. The advantage of banking enterprises is that they possess unique data and services, which can hardly be competed. As a consequence, there appeared the software market for the development of open source API and provision of access to them with monetization capabilities. API management platform is comprised generally of three components: developer site, API development tools, and API gateway. API gateway is the most important component since it is responsible for interface operation; hence, this work is aimed at the determination of the most efficient API gateways. Three software variants have been considered: Gravitee API Platform, APIMan, and WSO2 API Manager, which meet two preset criteria: Java product implementation, open source code of the product. The study has been performed in comparison environment with three coordinates: intensity of performed functions for API development, labor intensity of API implementation, the performance of API gateway. During the experiments, Gravitee.io API Platform was the best software with regard to each coordinate.
Keywords:	API Management, API Management System, API Platform, API Manager, API Gateway, Open API, Software Functionality, Performance
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	FACE RECOGNITION: LITERATURE REVIEW WITH EMPHASIS ON DEEP LEARNING
Author:	RAJESHWAR MOGHEKAR, SACHIN AHUJA
Abstract:	Under the broad umbrella of object recognition, Face recognition is one area with active research for last few decades mainly due to its applications and the challenges in the environment where they are used. The face recognition as a biometric authentication can work without much cooperation of human. The current face recognition techniques perform well in constrained environment but performance degrades in unconstrained environment as the images captured may vary in resolution, illumination, pose, occlusion and expressions. This sometimes makes intra class variance more than the inter class variance and leads to misclassification. In this article, an overview of some of the strategies adopted by the researchers to overcome the challenges like pose variation, low resolution and occlusion in unconstrained environment has been discussed. Moreover, this paper reviews the use of deep learning in face recognition to achieve accuracy at par with humans in image classification tasks. We also discuss the challenges with Deep learning and the strategies adopted to overcome them. This paper provide an up-to-date review of face recognition techniques.
Keywords:	Face recognition, Deep Learning, Low resolution, Occlusion, Pose invariant.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	DISCRETE EVENT SIMULATION AS AN INNOVATIVE APPROACH TO SUPPORT EDUCATION AND AWARENESS STRATEGIES IN ROAD SAFETY AND PREVENTION
Author:	KHADIJA OUAZZANI TOUHAMI, SALIHA ASSOUL, NISSRINE SOUISSI
Abstract:	Nowadays, a large part of African countries, and all over the world, don’t cease to make considerable efforts, especially in recent years to advance and predict possible strategies and policies for more effective road safety and prevention. Indeed, the number of accidents and victims continues to increase, in the world and in Morocco, this despite the efforts undertaken by the competent institutions, knowing that the reasons in question are generally related to human factors and behaviors, which justifies the relevance of interest to this case. At our level, we believe that the use of new technologies in this area, as well as some techniques of decision support, can be of a great contribution, and thus contribute largely to the development of the countries. So far, the Moroccan Ministry of Equipment, Transport, Logistics and Water, is generally based on statistical studies to decide on points to focus and awareness strategies and education in prevention and road safety. In this article, we propose to use discrete event simulation, as a tool to help road education in the perspective of better occupation and sharing of road space. The principle of this approach would be to compare, through simulation, different scenarios or policies to prevent traffic accidents, and to measure the impact of the variation of a risk factor, or a combination of factors, concerning the behavior of drivers, on the improvement of road safety. This could have a real impact on the mastery and regulation of road traffic. The results of these simulations could be the subject of didactic bracket, which can be used in support of road user awareness and education workshops, for better prevention and road safety.
Keywords:	Discrete Event Simulation, Didactic Approach, Prevention and Road Safety, Risk Factors, Driver Behavior.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	LICENSE PLATE DETECTION AND REFINEMENT BASED ON DEEP CONVOLUTIONAL NEURAL NETWORK
Author:	HOANH NGUYEN
Abstract:	In this paper, a new method for detecting license plate in natural scene images based on deep convolutional neural networks. Faster Region-based convolutional neural network framework (R-CNN) and MobileNets architecture are used to design our framework for license plate detection. Edges information of license plates is then used to refine the detected bounding boxes and further improve the performance on small license plates, which are not easy to regress precisely. We train and evaluate our framework on public datasets. The results show that our method can apply to different types of license plates with better performance than current state-of-the-art methods in terms of detection accuracy and run-time efficiency.
Keywords:	License Plate Detection, Convolutional Neural Network, Intelligent Transportation Systems, Object Detection, Deep Learning
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	A NEW ROBUST APPROACH FOR SECURING DATA TRANSMISSION
Author:	NIDAL M. TURAB , JAMAL ZRAQOU
Abstract:	Much research work is conducting to find algorithms for embedding hidden information that contribute in the fields of developing watermarking and steganography. The research work introduced in this paper aims to propose an approach for sending data securely by embedding a hidden cypher text in a stream of images. This study presents an algorithm for hiding information in key frames of a coloured video and then retrieving these data securely and efficiently. Two things should be taken into account, the embedded information should be invariant to the possible changes that might occur for video conversion from one format to another and not all the video frames will be used for hiding the information. Consequently, this research will focus on how to recover the exact version of the original frame in case of any manipulation or update. The proposed work can be divided into two parts, the first one is applying a data encryption method to generate ciphertext, and the second part is to embed the cypher text into frames of a video. The proposed algorithms then are being able to retrieve the original text from the frames efficiently and securely. This research study focuses on contributing more knowledge in both fields.
Keywords:	Encryption, Decryption, Embedded Key, Transform Coding
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	ANALYSIS OF INTELLIGENT INFORMATION SYSTEM FOR V2V AND V2I
Author:	NAMGI KIM
Abstract:	In smart transportation intelligent information systems, it is possible to communicate between car and car or car and intra for data TX/RX. Then, a car density is related to delay of data TX/RX and energy consumption of sensor nodes and has the correlation of distance between cars. In this paper, we analyze the latency and energy consumption in grid topology which is environment between cars and star topology which is environment between car and infra. Communication latency means total time that each car finds their neighbor cars or infra in particular topology. The amount of energy consumption means that cars consumes their batteries during total neighbor finding times. These analysis results are useful in smart transportation intelligent information system when communicating between people and everything.
Keywords:	Sensor Network, Smart Traffic, Neighbor Discovery Protocol, M2M
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	DATA VISUALIZATION: TOWARD VISUALIZATION AWARENESS IN OVERLAPPED DOTS MANAGEMENT TECHNIQUES
Author:	WAN AZZURA WAN RAMLI, ZAINURA IDRUS, ZANARIAH IDRUS, SITI NURBAYA ISMAIL
Abstract:	Today, lead business, government and academic leader used data visualization to make better decision for the specific problem. Data visualization is used to visualize and analyze complex data in various fields of knowledge. However, in dot-plot based visualization, over plot or overlap dot occur when visualizing huge data. The overlapped dots, is a scenario where dots are plotted on top of each other. When this occurs, they create convoluted and confusing visual and data presented are not accurate. There are various techniques to manage overlapped dots. However, the discussion is on the individual technique and grouping them into their similarities is rarely discussed. Moreover, the discussion hardly focuses on the impact of such techniques to visualization awareness. The awareness is where users are aware that the original data have gone through some pre-processed stage thus, what appears on the visual form is the distorted version of the data. Thus, in order to reduce the gap, two objectives have been set. The first objective is to identify the similarity among the techniques through their behaviors. The second objective is to analyze the impact of such behaviors to visualization awareness. To achieve the objectives, fifteen commonly dot overlapped management techniques have been identified and their behaviors are analyzed. The behaviors are then grouped into six main behaviors. Finally, ten impacts of the behaviors to visualization awareness have been identified. Such awareness is important as part of the input during pattern extracting stage.
Keywords:	Overplotting, Overlap, Data Visualization, Dot Management Technique
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	ANALYSIS OF ENTERPRISE ARCHITECTURE COMPLEXITY: MODELING AND DIAGNOSIS HETEROGENEITY
Author:	JIHANE LAKHROUIT, KARIM BAÏNA
Abstract:	The management of heterogeneity is of particular importance today. This new problem is being tackled more and more by several works in various fields of research. Among these areas is Enterprise Architecture EA, some work has been limited to defining the various types of complexity measure, while others have focused on the representation or direct calculation of different measures. In our contribution we propose a complete methodology ranging from the discovery of measurements to the implementation of the prototype.
Keywords:	Enterprise Architecture; EA patterns; Analysis of Enterprise Architecture; Complexity; Heterogeneity.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	A FUZZY-BASED SMOKE DETECTION ON EMBEDDED SYSTEM
Author:	HOANH NGUYEN
Abstract:	This paper proposes a new method for smoke detection based on the characteristic of color and movement of the video obtained from a static camera. Firstly, background subtraction algorithm is used to detect the motion and distinguish between motion and non-motion object on each frame. Secondly, color of each pixel of the moving regions is checked and compared with the typical of color of smoke such as gray, white and black. Thirdly, because smoke has rapid growth as soon as it formed, this paper calculates the growth rate of the moving regions. Finally, a fuzzy logic system is developed to process all previous results. Output threshold of the fuzzy system can be adjusted to adapt to environment conditions. The proposed method is implemented on embedded system to ensure execution speed in real-time, so we can develop future applications such as integrating into the surveillance camera, building a firefighting robot and so on. Experimental results on different videos in different environments show that the proposed method is very effective and achieves high accuracy in the detection of smoke.
Keywords:	Smoke Detection, Image Processing, Computer Vision, Fuzzy Logic System, Embedded system
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	SIMULATING FAULT TOLERANCE IN CLOUD COMPUTIN BY MIGRATION USING CLOUDSIM SIMULATOR X
Author:	GHAITH AL ROSTOM
Abstract:	The concept of cloud computing refers to the resources and computer systems available over the Internet through which we can provide a number of integrated computing services without being restricted to existing local resources, but the dynamic nature of cloud computing can suffer from many faults that affect the quality of service provided to the customer. The ability of the system to respond and deal with these faults determines its ability to tolerate faults and thus affect the quality of service provided. The main objective of this research is to achieve faults tolerance by using the CloudSim simulator, by using a random model that generates faults in processors (PE) in a virtual machine (VM), and then applying a proposed algorithm in this search which migrates the existing Cloudlets from the disabled virtual machine on a host to another virtual machine on another host. In the first stage, the fault generation was achieved within the CloudSim simulator, and in the second stage, the faults were processed by implementing migration algorithm. The results showed a high reliability and availability is relatively good when the number of performed cloudlets multiplied tenfold.
Keywords:	Cloud Computing, Fault Tolerance, Fault Detection, Cloudsim Simulator.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	EFFECTIVE SEMANTIC TEXT SIMILARITY METRIC USING NORMALIZED ROOT MEAN SCALED SQUARE ERROR
Author:	ISSA ATOUM, MARUTHI ROHIT AYYAGARI
Abstract:	The Pearson correlation is a performance measure that indicates the extent to which two variables are linearly related. When Pearson is applied to the semantic similarity domain, it shows the degree of correlation between scores of dataset test-pairs, the human and the observed similarity scores. However, the Pearson correlation is sensitive to outliers of benchmark datasets. Although many works have tackled the outlier problem, little research has focused on the internal distribution of the benchmark dataset’s bins. A representative and well-distributed text benchmark dataset embody a wide range of similarity scores values; therefore, the benchmark dataset could be considered a cross-sectional dataset. Although a perfect text similarity method could report a high Pearson correlation, the standard Pearson correlation is unaware of correlated individual text pairs in a single dataset’s cross-section due to outliers. Therefore, this paper proposes the normalized mean scaled square error method, inferred from the standard scaled error to eliminate the outliers. The newly proposed metric was applied to five benchmark datasets. Results showed that the metric is interpretable, robust to outliers, and competitive to other related metrics.
Keywords:	Pearson, Absolute Error, Text Similarity, Correlation, Scaled Square Error, Outliers
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	LITERATURE REVIEW OF AUTHENTICATION LAYER FOR PUBLIC CLOUD COMPUTING: A META-ANALYSIS
Author:	ABDALLA ELDOW, MOHANAAD SHAKIR , MOHAMMED AHMED TALAB, AHMED KH. MUTTAR, RAGAD M TAWAFAK
Abstract:	Cloud computing is a8rapidly growing technology due to its8highly flexible uses and applications. It also has other features such as8simplicity, quick data access and reduced8data storage costs. Consequently, it has been widely used8by many organizations. This widespread use of cloud computing among8organizations causes many security issues. Moreover, cloud computing layers8are likely to be jeopardized8by many security risks such as privileged8user access, data location, data segregation, and data8recovery. This paper aims to prepare8an ample debate of a literature review-based studies that provided important insights to researchers in the scope of security cloud computing. The researcher applied a relevant8set of keywords. These keywords are limited8to the title, abstract and keywords search archives published between 2010 and June 2018. The database search returned a total of 308 publications. In addition, we conducted backward-forward searches from the reference lists of relevant, quality previous works on the security framework in public cloud computing studies. Then, the researcher filtered the publications to only full text access articles that were written in English only. Finally, this study obtained a many publication. The findings of this paper address many important points such as in this study is recommended to apply behavior recognition with password for improving authentication layer performance in cloud computing. This study finds most of current studies neglected the present of human factor in password-based authentication, and learnability in password-based authentication is highly weak. Despite this, very few studies have adopted the behavior recognition with password in public cloud.
Keywords:	Authentication, Public Cloud Computing, Security In Cloud Computing, Password-Based Authentication
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	COMPARATIVE AND ANALYSIS STUDY OF BIOMETRIC SYSTEMS
Author:	FAOUZIA ENNAAMA, KHALID BENHIDA , AHMED BOULAHOUAL
Abstract:	In recent years, there has been a growing interest in the field of biometrics as a powerful identification technology. Various biometric technologies are based on behavioral and physiological analysis; therefore they must be reliable, robust, simple and cheap. In this paper, we have investigated an analytical comparison of different biometric systems namely: fingerprint, iris, face, voice, keystroke dynamics, signature, retina, etc. and we have classified these methods based on several criteria such as: universality, uniqueness, permanency, intrusiveness, effort, cost, and reliability, as well as the most used biometric systems requested in the market and those that are of greater interest in the current research work, and for each criteria we gave synthetic discussions. Furthermore, we provided a brief overview of biometric methods, then we have described the modes used in a biometric system such as enrollment, verification and identification and we have presented the possible applications of biometrics.
Keywords:	Biometric Systems, Identification, Recognition, Biometrics, Face.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	TASK SCHEDULING ALGORITHM FOR HETEROGENEOUS MULTI PROCESSING COMPUTING SYSTEMS
Author:	A. YOUNES, A. BEN SALAH, T. FARAG, F. A. ALGHAMDI, U. A. BADAWI
Abstract:	The main purpose of task scheduling is to assign tasks onto available processors with the aim of producing minimum schedule length and without violating the precedence constraints. In heterogeneous multi-processing systems, task assignments and scheduling have a great impact on the system operation. In a heuristic based task scheduling algorithm, different process will result different task execution time (makespan) on a heterogeneous computing system. Thus, a good scheduling algorithm should be capable to efficiently assign precedence to each subtask depending on the resources required to reduce makespan. In this report, we propose a genetic algorithm (PGA) to resolve a task assignment and scheduling for homogeneous and heterogeneous multi-processing problem. The basic idea of this process is to exploit the advantages of heuristic-based algorithms to decrease space search and the time needed to get the best solution. The achieved results show that the suggested approach significantly outperforms the other approaches in terms of task execution time.
Keywords:	Heterogeneous Processors, Genetic algorithm, Heuristi algorithms, Task scheduling, Multiprocessing
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	HADOOP AND BIG DATA CHALLENGES
Author:	ABEDALLAH ZAID ABUALKISHIK
Abstract:	Todays technologies and advancements have led to eruption and floods of daily generated data. Raw data has no value if it’s not analyzed to extract the hidden insight for business organization. Big data is heterogeneous, unstructured, and enormous. Collecting, storing, manipulating, interpreting, analyzing and visualizing Big data shape the dimensions of Big Data life cycle. Big data deals most of time with unstructured data that require real time and batch processing. The goal of any big data platform is to extract correlations, hidden sentiments, patterns, values, and insights of these raw data. However, Big data analytics pipeline is end-to-end challenging. The paper objectives are of three-folds: Revisit the big data concept, dimensions and it is characteristics. Second, it aims to introducing Hadoop open source big data platform and the supportive utilities. Third, the paper aims to study the underlying challenges that surround Big data pipeline end to end.
Keywords:	Big Data, Big Data Pipeline, Big Data V’s. Hadoop Platform, Challenges
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	THEORETICAL MODEL FOR DEVELOPING ELECTRONIC RECORDS AND INFORMATION MANAGEMENT FRAMEWORK: CONTEXTS AND APPROACH
Author:	AZLAN LONG ABDULLAH, ZAWIYAH MOHAMMAD YUSOF, KAMSURIAH AHMAD, UMI ASMA MOKHTAR
Abstract:	The management of electronic Records and Information (ERI) poses great challenges related to various issues, needs and limitations that have caused difficulties in implementing the initiative. Thus, it is crucial for an organization to identify the contexts underlying the issues, needs and limitation and develop a framework for executing each endeavour. Frameworks based on theory, technology and mandate purviews leaning towards perfection seems no longer applicable or appropriate for managing ERI. There is a need to embrace the concept of reasonableness in managing records in electronic environment. However, approach for developing electronic Records and Information Management (ERIM) framework that is a manifestly fit for purpose solution remain elusive. The aim of this study is to propose a theoretical model for developing ERIM framework which upholds a fit for purpose solution that manifests the concept of reasonableness. These explorations and perspectives are based on the literature review. People, organizations, technologies and processes were identified as the interrelated contexts underlying the issues, needs and limitations, while the attainable vision, rationale, practical, relevance and responsiveness are the criteria which manifest the concept of reasonableness. Drawing from Design Science Research (DSR) model and Military Decision-Making process (MDMP) paradigm, a theoretical model for developing an ERIM framework was proposed. This model provides a holistic approach and systematic process that will ensure the design frameworks are fit for purpose and manifests the criteria of reasonableness.
Keywords:	Electronic Records and Information Management, Framework, Reasonable, Theoretical Model
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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Title:	LIMITED RESOURCES OPTIMIZATION OF HEALTH CARE SERVICES WITH A LINEAR INTEGER PROGRAMMING APPROACH
Author:	A M H PARDEDE, M ZARLIS, H MAWENGKANG, T TULUS
Abstract:	If the availability of resources in the service center is very adequate, services can be carried out optimally, but we cannot be sure in this situation and even if excessive resources can also result in wasteful costs. If the number of requests more than the number of resources available at the service center can result in non-fulfillment of service requests, this can lead to a long queue of service requests, and if the demand for health care comes from an emergency patient (prioritized patient) can definitely cause this problem to die need to be handled better so as not to cause harm to service providers and patients as service recipients. Health service requests by patients that provide information about the location and type of service desired will be received by the service provider / server connected to the internet service, so that health care request information can be scheduled by the server (hospital health). Communication between the resources available on the server allocates time for each health service that maximizes the limited use of resources to meet the patient's health service needs. The purpose of this study is to simulate the Smart Health model on health services using linear integer programming, so that the resulting model can solve the problem of limited available resources that can serve all requests so that services and services can be done quickly, so as to reduce the risk of losing lives or risks that can endanger the patient. From the new models produced, this maximizes health services and minimizes the time of arrival of medical personnel at the place of request, where when patients request treatment for medical care from the hospital, health care will be provided according to the patient's request.
Keywords:	Health Care, Hospitals, Optimization, Patients, Services.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2019 -- Vol. 97. No. 12 -- 2019
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