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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
May 2018 | Vol. 96 No.10

Title:	INCORPORATION OF NEGOTION PROCESS INTO AN E-COMMERCE PLATFORM TO ICREASE SALES
Author:	FAYSAL MEKKAOUI-ALAOUI, EL HIBAOUI ABDELAZIZ
Abstract:	Negotiation is back-and-forth communication designed to reach an agreement when two entities have some interests that are opposed. It is a basic means of getting what one wants from others. The purpose of this study is to incorporate the negotiation concept in an e-commerce platform in order to increase benefit at once for the seller and the buyer. In this paper, we will introduce a model of negotiation which allows the buyer to negotiate some product characteristics, including price. The proposed model uses game theory to find a compromise between the propositions of the seller and those ones of the buyer. The negotiation process is carried out automatically on the seller’s side. In terms of quality and efficiency of this process, an experimental evaluation shows that the proposed model allows reaching a win-win deal with a reduced number of operations. Thus, the buyer stays in the same e-commerce website and therefore increases the sales of this latter.
Keywords:	Automated negotiation, Decision making, E-commerce, Equilibrium, Game theory
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	THE PROPOSED IRAQI VEHICLE LICENSE PLATE RECOGNITION SYSTEM BY USING PREWITT EDGE DETECTION ALGORITHM
Author:	ELAF J. AL TAEE
Abstract:	Since the number of vehicles is increasing hugely every year, the process of controlling and tracking those cars forms a significant human challenge. The automatic recognition of those cars can help in solving this problem and save much effort and time. The license plate could involve a lot of content, which make the recognition process is difficult to many researchers around the world. In addition to that, license plate may not have fixed in uniform place on the car, hence the recognition of this plate should recognize it. This research aims to recognize the characters, numbers, and words, that extracted from Iraqi LPS, into a text. This system consists of four main stages: The first phase is License Plate Detection by using the vertical Sobel edge detection and extracts these LP by using morphological operation. The second phase is License Plate Alignment. The third phase is License Plate Segmentation and isolates each character, numbers, and words of the license plate by using scanning techniques. The last phase is License Plate Recognition to display the alphanumeric character and words as the text file by using Prewitt edge detection algorithm. The overall performance of the system reached to 100%.
Keywords:	Image Acquisition, License Plate Detection, License Plate Rotation, License Plate Segmentation, License Plate Recognition, Morphological Operation, Edge Detection
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	FINGERPRINT TEMPLATE PROTECTION SCHEMES: A LITERATURE REVIEW
Author:	APRI SISWANTO, NORLIZA KATUK, KU RUHANA KU-MAHAMUD
Abstract:	The fingerprint is the most widely used technology for identification or authentication systems, which can be known as fingerprint authentication systems (FAS). In addition to providing security, the fingerprint is also easy to use, very reliable and has a high accuracy for identity recognition. FAS is still exposed to security attacks because fingerprint information is unencrypted. Therefore, fingerprint information requires protection known as fingerprint template protection (FTP). This paper aims to provide an organized literature on FTP. Three research questions were formulated to guide the literature analysis. First, this analysis focuses on the types of FTP schemes; second, the metrics used for evaluating the FTP schemes; and finally, the common datasets used for evaluating the FTP schemes. The latest information and references are analysed and classified based on FTP methods and publication year to obtain information related to the development and application of FTP. This study mainly surveyed 62 documents reported on FTP schemes between the year 2000 and 2017. The results of this survey can be a source of reference for other researchers in finding literature relevant to the FTP.
Keywords:	Biometric Authentication, Fingerprint Template Protection, Template Transformation, Fingerprint Cryptosystem, Authentication Systems
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	SCHEDULING FOR JOB SHOP PROBLEMS WITH TRANSPORTATION AND BLOCKING NO-WAIT CONSTRAINTS
Author:	SAAD LOUAQAD, OULAID KAMACH, ADIL IGUIDER
Abstract:	The problem studied in this paper is the Transportation job shop problem with blocking and no wait constraints. This problem is an extension of the classical job shop problem that take into account transport operations and the absence of storage space between machines. We formulate the problem by means of a new disjunctive graph. We modelized blocking situations and described properties of partial schedule that lead to deadlock situations. The new disjunctive graph and deadlock situations properties served us to develop a greedy heuristics based on priority and avoiding blocking cycle rules. We also propose to resolve our problem by an exact method based on a Mixed Integer Linear Program (MILP). Computational results for a set of benchmarking tests are reported and the effectiveness of our methods are discussed.
Keywords:	Job Shop Scheduling problem, Transport, Blocking No Wait Constraint, Mixed Integer Linear Program, Heuristics
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	A GRAPH –BASED APPROACH FOR KEYPHRASES EXTRACTION USING A PRETOPOLOGICAL FORMALISM
Author:	FADOUA GHANIMI, ABDLWAHED NAMIR, ILYAS GHANIMI
Abstract:	In this paper, we present a new graph -based approach for keyphrases extraction using the pretopology theory. We formalize the notion of neighborhood to express different types of connections that may exist between the terms of a document. The first part of the proposed method consists in first selecting the keywords candidates using a pattern approach; the second part consists in detecting keywords as the most representative candidates by means of graph-based ranking algorithm using a pretopological formalism.
Keywords:	keyphrases extraction, graph–based approach, ranking algorithm, pretopology
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	AN INTELLIGENT COOPERATIVE MULTI-AGENTS BASED PARKING SYSTEM: DESIGN AND IMPLEMENTATION
Author:	ABDEL RAHMAN A. ALKHARABSHEH
Abstract:	Currently, normal parking systems are inefficient, frustrating and time consuming. The number of cars increased rapidly; as a result of this many problems are appeared remarkably. One of the most problem is drivers cannot find parking as easily as they would like. In addition, the drivers need more cost and time during finding a car space. Accordingly, the drivers spend more time searching inside the cars park looking for free slot and so the petrol cost, the congestion and car accident can be increased. As a result, various negative impact may appear in traditional parking systems i.e. traffic congestion, pollution, fuel consumption, time consumption and car accidents. Such problems will be evident in most of capital cities, in special events and in malls. Such problems motivated the researcher to look deeper and find appropriate solutions. To cope with such growing problems of parking management, the researcher proposes an advanced solution for monitoring free and busy parking slots. Such system will help the drivers to find out the free slots in easy way. In addition, the proposed system will show them on mobile screen the busy slot, the free slot number, floor number in big car parking which is consisting of several floors or will appear to them the available slot. The proposed system will mainly consist of multi-agent system cooperated with hardware components such as IR sensor nodes to sense the status of the slots and accordingly send the data to Arduino. A gateway device will be used to collect wirelessly the status from the sensor nods. Agents system will be used to analyse the collected data then provide the drivers through web with the needed important information in real time. The proposed system is implemented and prototyped to solve the above problems. The main contribution of the proposed system is the ability of solving more than five car parking system problems in one application. In addition, new ideas have been added to such system compared with current systems.
Keywords:	Multi-agents, Intelligent Parking System, Wireless Sensors
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	FALSE ALARM REDUCTION SCHEME FOR DATABASE INTRUSION DETECTION SYSTEM
Author:	AYMAN MOHAMED MOSTAFA, FATEN AYIED ALMUTAIRI, M.M. HASSAN
Abstract:	Database intrusion detection system is considered a mandatory security layer in recent database applications. The detection of intrusions in database applications is mostly based on anomaly methods like access patterns, association rule mining and mining data dependencies between data items. These countermeasures achieve good results in traditional applications but new forms of attacks on computer systems lead to the depreciation of intrusion detection systems due to the high rates of false positive alarms. The goal of this paper is to improve the accuracy of intrusion detection system by reducing false alarms using alert clustering mechanism and system hibernation capabilities. In this paper, a three-stage access control framework is developed for detecting malicious users in database. This framework is embedded with an alert clustering mechanism for reducing false alarms by correlating low-level alerts into one cluster. A post security countermeasure is developed by merging system hibernation capabilities into the developed application. The hibernation mechanism is used for maintaining the availability of data in case of intrusion detection. The experimental results of the proposed algorithm achieve high detection rate with low false positive and low false negative alarms when compared to recent researches in intrusion detection systems.
Keywords:	Intrusion Detection System, Alert Clustering, Hibernation Mechanism
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	A RULE SELECTED FUZZY ENERGY & SECURITY AWARE SCHEDULING IN CLOUD
Author:	SIRISATI RANGA SWAMY, Dr SRIDHAR MANDAPATI
Abstract:	The paradigm in which Information Technology (IT) application is provided as a service is referred to as cloud computing. It enables the users to make commercialized use of computation, storage, data and services across the world. The security of this model is questionable despite the fact that several potential gains can be achieved through cloud computing and this deters the adoption of the cloud computing model. One of the main tasks that is performed in cloud computing is Job scheduling. This not only improvises the working of the cloud environments but also enables achieving maximum profit. Due to its large solution space and the large amount of time required to find an optimal solution, Scheduling is a part of problem category known as Non-deterministic Polynomial (NP)-hard problem. This work proposes the usage of fuzzy logic as well as optimized rule selection for cloud scheduling. A fuzzy logic system that maps the input space into an output space using a list of if-then statements referred to as rules is known as the fuzzy inference system. Here Stochastic Diffusion Search (SDS) algorithm based fuzzy rule selection is proposed. The SDS as the basis of the approach and modified it with the aid of fuzzy theory to assign jobs to the most suitable resources. It has been shown that the suggested technique helps to achieve better performance than fuzzy logic, as per experimental outcomes.
Keywords:	Cloud Computing, Job Scheduling, Cloud Security, Fuzzy Logic, Rule Selection and Stochastic Diffusion Search (SDS)
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	MATHEMATICAL TRANSFORMATIONS WITH SPIHT ALGORITHM FOR STEGANOGRAPHY TECHNIQUES
Author:	NAJI MUTAR SAHIB, TAHA MOHAMMAD HASAN, MENA MOHAMMED ABOOD
Abstract:	Due to the rapid and immense development within information transmission and communications, there is a growing need for the usage of steganography techniques which greatly stimulated the emergence of intensive research activities to study steganography. The current paper submits a new system for steganography technique which relies on discrete transforms with SPIHT (Set Partition in Hierarchical Trees) algorithm. The system is able to hide secret massages in a colored cover image. This picture is split up into pixel blocks in the ratio 8x8. Haar wavelet transforms, DCT (Discrete Cosine Transform) and SPIHT algorithm are in turn used on each lock in order to get our (LIP) list, which points out the unnecessary pixels, which represent the optimum locations for hiding the secrete massage. The paper presented two ways for hiding, the first is in (band Blue) and the second is in (band Blue and Green), and we made a comparison between the results of the two methods. Another approach, which is based off of DWT (Discrete Wavelet Transform) as well as Haar wavelet transforms with SPIHT algorithm, is also presented in this paper. The two approaches were compared through capacity, correlation, PSNR and MSE.
Keywords:	Steganography, DCT, DWT, Haar Wavelet Transform, SPIHT Algorithm
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	LEFT-RIGHT HEAD MOVEMENT FOR CONTROLLING SMART WHEELCHAIR BY USING CENTROID COORDINATES DISTANCE
Author:	FITRI UTAMININGRUM, PUTRA PANDU ADIKARA, YUITA ARUM SARI, DAHNIAL SYAUQY, ANGGI GUSTININGSIH HAPSANI
Abstract:	Head movement is one stage to handle the movement of smart wheelchair for hands-free disabled person. This tool is useful to help disability of having free movement using computer vision. In this paper, we propose a new framework to recognize left-right head movement by using diagonal coordinates distance (DCD) and horizontal coordinates distance (HCD). Face detection as main part is applied at the first stage and skin detection is combined in terms of failure of face detection. Skin detection stages has some steps as well. First step is image conversion from RGB to HSV and YCbCr channel to get the skin detection to work over face image. From the detected face area, eyes recognition is utilized by using only a half of upper side face’s image. Nose detection is applied as well based on whole face area. The center coordinates of eyes and nose are used to determine the movement referred as centroid. The result shows that HCD is better than DCD. HCD could cope the accuracy 82.5% for head movement detection. This accuracy represents that by using HCD left-right head movement outcome the problem of person with and without glasses as well as the various position of web camera which is mounted in front of smart wheelchair.
Keywords:	Head Movement, Eye Gaze Movement, Eye Detection, Face Detection
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	LEARNING PREFERENCE ASSESSMENT: A FUZZY LOGIC APPROACH
Author:	DEDDY BARNABAS LASFETO, PUNAJI SETYOSARI, ERY TRI DJATMIKA, SAIDA ULFA
Abstract:	Learning Preference Assessment is necessary to assess the students’ readiness to be involved in the self-directed learning such as online learning. Knowing the level of Learning Preference Assessment, an educational institution or students can prepare themselves to be better to get involved in the online learning. The measurement of Learning Preference Assesment that has been done so far is by using the questionnaire of Learning Preference Assessment in which the score of total score of each questionnaire is classified into the level of students’ Learning Preference Assessment. Every level has certain score range. The total number of students in each level used the statistical principle and classical logic but they still have a weakness since they do not consider the total score of the certain level threshold. As a consequence, the mapping of the level of students’ Learning Preference Assessment in the university or study program results in inaccuracy. We propose a fuzzy method that is a mathematical approach and human’s cognitive aspect in this level measurement. The research results showed that there was a difference of the score of Learning Preference Assessment between using the statistical method and using the fuzzy logic method. The Fuzzy system can find the different level that cannot be found by statistical or logical analysis.
Keywords:	Online learning, Self Directed Learning, Learning Preference Assessment, Statistical, Fuzzy Logic
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	SMART MONITORING AND CONTROLLING SYSTEM TO ENHANCE FISH PRODUCTION WITH MINIMUM COST
Author:	HUSSEIN. A. MOHAMMED, INTISAR AL-MEJIBLI
Abstract:	Fish production has significant impacts to several factors in many countries for example it affects the economic especially countries that include seas and rivers and in influence the individual health as it is one of the high nutrients food. In addition to, increasing fish production may participate in overcoming the poverty issue in the world. This paper proposed smart system to monitor and control fish pond by using six different sensors to monitor the dissolved oxygen in water, water temperature, pH, turbidity, TDS and water level sensor. The Arduino platform is used and the two Arduino Uno devises is employed as microcontrollers. Further, the proposal employed servo motor in order to regularly feed the fish. The system has the ability of collecting the sensors reading regularly to perform the proper task. In addition to, sending alert SMS to the fish farmer when critical situations occur by using GSM model. The results were promising because maintaining the fish environment in healthy conditions will affect positively in fish production in terms of number and size.
Keywords:	Fish Ponds, Fish Production, Dissolved Oxygen Sensor, Turbidity Sensor, Arduino Uno Microcontroller.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	CONSTRUCTION PROFESSIONALS’ PERCEPTION OF A WEB-BASED RECRUITING SYSTEM FOR SKILLED LABOUR
Author:	AFOLABI, A. O. , OYEYIPO, O. O. , OJELABI, R. A. AND AMUSAN, L. M.
Abstract:	Globally, the construction industry is experiencing shortage of skilled labour to handle most of its construction projects. There is the need to develop a two-way collaborative technology that adequately connects the available skilled labour to the construction projects where they are needed and vice versa in order to reduce the shortage. By harnessing the strength of web-based technologies, this study intended to evaluate construction professionals’ perception of a web-based recruiting system for skilled labour. The study developed a web-based recruiting system using CSS, HTML, Javascript and MyQSL. System block design and a use case diagram was used to model the web-based systems which are presented in screen shots in this study. A total of one hundred (100) structured questionnaires were distributed to construction professionals in the attitudinal survey on the developed web-based system. The data obtained was analysed and presented using SPSS v21. Statistical tools such as stacked bars, mean score, analysis of variance (ANOVA) and Kruskall Wallis test were utilized. Based on the designed web-based platform, the study revealed that in recruiting skilled labour for construction projects, construction professional are mostly concerned with having the sufficient number of skilled labour which are readily available to the site location, properly screened and obtained through a low-cost recruiting process in order to improve their competitive advantage in the construction industry. The study identified lack of knowledge about using a web-based system, low IT training among skilled labour and inaccurate information supplied by worker as major drawbacks to using a web-based system for sourcing for skilled labour. The study revealed that there was a statistically significant difference in the drawbacks to the use of web-based recruiting system for sourcing for skilled labour among the construction professionals. The study recommended that there is need to increase ICT trainings among construction professionals and its ancillary stakeholders in order to utilize new innovative ICT tools in the construction industry. Innovative ICT tools can be used to complement traditional methods in use in the construction industry so as to enhance the delivery of construction projects.
Keywords:	Construction Industry, Recruitment, Skilled Labour, Social media, Web-based systems.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	IMPROVEMENT OF CLASSIFICATION FEATURES TO INCREASE PHISHING TWEETS DETECTION ACCURACY
Author:	SEOW WOOI LIEW, NOR FAZLIDA MOHD SANI, MOHD. TAUFIK ABDULLAH, RAZALI YAAKOB, MOHD YUNUS SHARUM
Abstract:	Phishing can be defined as a form of social engineering crime that uses to deceive victims by directing them to the fraudulent websites that appear legitimate which will then collect their personal and sensitive information. Phishing attacks use to target email users traditionally but now, target to Online Social Networks (OSN)s typically Twitter. Therefore, a research study of improving classification features for machine learning technique to classify a dataset collected from Twitter is required. In this study, 3 supervised machine learning techniques - Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Random Forest (RF) and classification features were used to test on a dataset collected from Twitter. The result of our experiment showed that with only 11 selected features, we managed to yield 94.75% classification accuracy higher than 94.56% achieved by other researchers who made use of more than 11 features for the same dataset. From the experiment, we also found that RF remained the best machine learning technique compared to SVM and KNN.
Keywords:	Phishing, Online Social Networks (OSN)s, Twitter, Classification Features, Machine Learning Techniques
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	FACTORS AFFECTING THE DEVELOPMENT OF MSME BUSINESSMEN COMPETENCY IN THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGY IN RURAL AND URBAN AREA OF WEST JAVA (CASE STUDY: MSME BUSINESSMEN IN BANDUNG AND BOGOR, WEST JAVA)
Author:	VERA AGUSTINA YANTI, SITI AMANAH, PUDJI MULJONO, PANG ASNGARI
Abstract:	This research aims to: (1) describe the level of MSMEs bussinesmen competencyy in the use of ICT in rural and urban areas of Bandung and Bogor, (2) to analyze the factors that influence the competence of natural businessmen to utilize ICTs for their business activities in rural and urban areas of Bandung and Bogor, and (3) to formulate strategies for developing competence of MSMEs businessmen, especially in the utilization of ICT in rural and urban areas of Bandung and Bogor, West Java, Indonesia. Competence in this research is personal competence that is personal ability and skill in effort and technical competence is technical ability in operational of ICT facilities in its implementation at every activity of MSMEs businessmen. This research was conducted in Kota Bandung, Kota Bogor, Kabupaten Bogor and Kabupaten Bandung from December 2016 to April 2017. The sample of respondents was 358 based on the total population selection of 3479. The data analysis method in this research used Structural Equation Modelling (SEM)-AMOS. Based on the results of this research indicate that the profile of MSMEs businessmen, the perception of MSMEs businessmen and the utilization of ICT facilities have a positive effect on the competence of utilization of ICT facilities, while the level of external environmental support has negative effect but not significant on the competence of MSMEs in utilizing ICT facilities.
Keywords:	Competence, Small medium enterprise (SME), Information communication and technology (ICT).
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	TOWARD FOR STRONG AUTHENTICATION CODE IN CLOUD OF INTERNET OF THINGS BASED ON DWT AND STEGANOGRAPHY
Author:	ALI A. YASSIN, ABDULLAH MOHAMMED RASHID, ZAID AMEEN ABDULJABBAR, HAMID ALI ABED ALASADI, ABDULLA J. Y. ALDARWISH
Abstract:	Now days, with the remarkable fast development of micro processing devices and communicating technologies, networks, computers, mobile devices and Internet have become very unavoidable, as a result led to the emergence and prevalence of the Internet of Things (IoT). The mobility devices in IoT have entered in all areas of life ranging from a smart home down to a smart city. Due to big storage systems are extremely needed for securing data in flexible processing. Especially, the two or more entities wish to exchange data in IoT. In this paper, we propose secure and scalable scheme to keep data against attacks during a communication channel in IoT environment when IoT's components want to exchange their data. This scheme work based on crypto hash function, and Discrete Wavelet Transform (DWT) that apply on sender's/receiver's message. Our proposed scheme distinguishes a good of security, scalability, and reliability in entities' data via IoT. Additionally, our work includes numerous security features like one time message code for each user's login request, user's message integrity, user's message anonymity, and session key agreement. Empirical results have explained the potential and profits of the proposed scheme as well as significant gains in performance.
Keywords:	IoT, MAC, Key Management, Inside Attack.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	HEALTH INFORMATION SYSTEM SUCCESS FRAMEWORK BASED ON USER REQUIREMENTS PERSPECTIVE
Author:	EBRAHIM GAHLEB, IBRAHIM MOHAMED
Abstract:	Although the success of Health information system (HIS) has attracted many researchers to investigate the factors that affect the net-benefit in the success framework, to date, there is no comprehensive framework available for the success of the HIS, which takes the impact of user requirements factors in developing countries. Therefore, the present study addressed this gap by proposing a success framework which integrates the HIS quality and HIS user dimensions in the context of Yemen. The HIS users dimension includes the following factors: user requirements, user need, intention to use and user satisfaction. To validate the integrated framework, a quantitative method was used in which a self-administered structured questionnaire was distributed to a total of 250 employees, under HIS departments in seven hospitals in the capital Sanaa, Yemen. SPSS.VS.22.0 and AMOS VS.22 were used to design and analyze the framework. The results revealed that the factors in the HIS users have positive effect on the net benefit. In addition, the factors in the HIS users are influenced by the factors in the HIS quality. The Deleon’s and Mclean’s results indicated that the HIS quality has a positive relationship with the net benefits.
Keywords:	User need, Health Information System (HIS); Health Information system Quality (HISQ); Health information system users (HISU) and health information system Net benefits (HISNB).
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	THE IMPORTANT OF SERVICE QUALITY AND THE TRUST IN TECHNOLOGY ON USERS PERSPECTIVES TO CONTINUES USE Of MOBILE SERVICES
Author:	Dr. IBRAHIM ALMARASHDEH
Abstract:	Delivering government services through the mobile applications is popular in developed countries, which benefit the citizens and governments. However, the user’s acceptance of services via mobile applications still challenging for the government. The purpose of this research is to investigate the factors that influence citizens acceptance of mobile government services, based on the relative variables to help government to maintain the services and fulfill the citizen’s needs. A sample of 536 participants has shared their thought and participate in the online survey. Structural equation modeling (AMOS) implemented is conducted to validate the research model and test the research hypotheses. This research provides evidences to show that mobile governments can facilitate and assist citizens to access government services. In general, user acceptance can be viewed as the intention of user to use a new technology, together with an understanding of how to find it and how to use it. Citizens acceptance should be investigated based on major factors such as self-efficacy, trust in technology and service quality. The results of this research contribute to the user acceptance theory and to the marketing of mobile services by providing a clear picture and more understanding of the user perspective of using mobile services.
Keywords:	Perceived Self-Efficacy, Perceived Ease Of Use, Perceived Usefulness, Service Quality, Trust In Technology, Cost Of Service, Behavioral Intention.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	PRIVACY PRESERVING DATA MINING OF VERTICALLY PARTITIONED DATA IN DISTRIBUTED ENVIRONMENT- AN EXPERIMENTAL ANALYSIS
Author:	DR. PREETI GULIA, HEMLATA
Abstract:	Classification in data mining is the most pervasive problem in the distributed computing environment. It is really challenging to classify the data residing on different sites without revealing the private data to each other. However, decision tree classifier has become a good solution to reduce this problem. This paper explains how to build a privacy preserving decision tree over a vertically partitioned data. The decision tree is created on the data which is partitioned vertically and is owned by different parties along with concealing data of different parties. The proposed algorithm uses a best and most efficient splitting strategy for attributes and at the same time a semi-honest third party is also used. It helps different parties in calculation for construction of decision tree. Scalar product protocol and secure multi-party protocol are the keys behind the security and privacy of the method used. The experimental results show that the accuracy and precision of the proposed algorithm, that is suitable for distributed environment, is much higher than the algorithm which works on the centralized data and in which privacy is not needed.
Keywords:	Data Mining, Classification, Decision Tree Classifier, Privacy Preserving Data Mining, Vertically Partitioned Data
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	ANALYSIS AND CLASSIFICATION OF BRAIN SIGNALS USING DWT AND SVM
Author:	AHMED MOHAMMED ABED, MUZHIR SHABAN AL-ANI
Abstract:	The brain is the main dominant of the human body and any defect that occurs in the brain impact the body's vital activity. There are many diseases that affect on the brain tasks. They Infects many people worldwide. The Brain signals recorded by Electroencephalography (EEG) system are used to diagnose brain signals and classify them as normal or abnormal. Detecting and classifying of EEG signals are exhausting and difficult process and require effort by the neurologist to diagnose them. When the brain injury is severe, treatment of brain injuries become difficult and require surgical intervention, but in early detection of the injury it may be treated without surgical intervention. The purpose of this paper is to detection and analysis of the brain signals and extract the main bands of the signal by Discrete Wavelet Transform (DWT) and then to classify them by the Support Vector Machine (SVM) for early detection of brain abnormalities. The database used in this paper were collected from a group of patients at Baghdad Teaching Hospital / Medicine City by an EEG system in the form of images. The signals are extracted from the images by detecting the signal inside the image and dealing with it as a digital signal. These signals are immersed by noises to eliminate this noise the Finite Impulse Response (FIR) filter is used where low frequencies pass and block the high frequencies to obtain noise-free signals. Set of statistical measurements are measured to use as input to train the Support Vector Machine and used them in classification of the signal. The classification ratio obtained in this paper is 96.8 %.
Keywords:	Brain Signals, Signal Processing, Signal Analysis, DWT and SVM.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	A NEW FRAMEWORK: POST-POSITIONAL PARSER AND ANALYZER FOR TELUGU PRONOUNS
Author:	P.PRASAD RAO, Dr S. PHANI KUMAR
Abstract:	Objectives : Postpositional Parser and Analyzer is a program which compiles and analyses pronouns of Telugu language into their roots and their constituent postpositions along with their grammatical properties, which is a full length translation surface of Telugu Pronouns . Grammatical properties at word level includes finding a tense, number, gender , person and other associated features. Methods :The method employed in this paper is based on Suffix-Order-Pattern technique to develop a computational model for morphological analysis of pronouns in Telugu. Suffix-Order-Pattern is a new technique in linguistic computation. The current work is a module of a POS Tagger and Word-Level translation surface for Telugu, a java application developed for analyzing Telugu pronouns. Test samples were taken from grammar text books for Telugu language and tested thoroughly with various inflections of pronouns with respect to tense, person, number and gender. Findings: The evaluation was performed on a data set taken from Wiktionary (Wiktionary is a multilingual, Web-based project to create a free content dictionary, available in over 150 languages). The results were very encouraging as the accuracy of the developed software is really absolute. The findings cannot be compared with any other results published because very little work was done previously in this area of research in Telugu language. Application/Improvements: The procedure used to build this is theoretically justified and practically executed for variety of inflections related to Telugu pronouns . The present proposal is a demonstration of XML based repository for all the root words of different categories of Telugu Pronouns. It is an optimal organization of linguistic database and its performance in computational environment is highly motivated.
Keywords:	Post-Positions, Root, Oblique, Suffix-Order, Case Markers, Inflections
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	A MODIFIED LBP METHOD TO EXTRACT FEATURES FROM COLOR IMAGES
Author:	BILAL ZAHRAN, JAMIL AL-AZZEH, ZIAD ALQADI, MOHD–ASHRAF AL-ZOGHOUL, SALEH KHAWATREH
Abstract:	Local image texture descriptors are widely used in image analysis. The local binary pattern (LBP) is a texture descriptor that is simple and efficient. LBP has been utilized in many applications in image processing field such as face recognition, pattern recognition and feature extraction. In this paper, a modified LBP method was proposed to extract texture features. The proposed algorithm was implemented on many digital images and the local structure features of these images were obtained. Several image recognition experiments are conducted on these features and compared with other algorithms. The results of the proposed algorithm showed that the digital image was represented in a very small size and furthermore the speed and accuracy of image recognition based on the proposed method was increased significantly.
Keywords:	Local Binary Patterns (LBP), Local Features, Cyclic Symmetric Reduced LBP (CSLBP), Mean Square Error (MSE) And Peak Signal-To-Noise Ratio (PSNR).
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	CREATING SUSTAINABLE CONSTRUCTION: BUILDING INFORMATICS MODELLING AND LEAN CONSTRUCTION APPROACH
Author:	AMUSAN LEKAN, EZEWINWE OLUCHI, OSAWARU FAITH; JOSHUA OPEYEMI, AFOLABI ADEDEJI, OJELABI RAPAHEL
Abstract:	Sustainability concept has been a driving force in construction process because it has become a priority in the industry. This research explores a means to the desired good results by introducing the integration of Lean construction and Building information modeling in the construction industry. It was observed that most companies implemented the use of BIM tools in their design process but yet do not realize that a greater level of efficiency can be attained by the integration of the duo. This research sought to find answers to the areas of construction that Lean and BIM can be applied. Their workability, barriers to their implementation and the success factors for their effective implementation. Random sampling technique was used in sample sizing, 150 samples of questionnaire was used in data collation and processed with SPSS software. It was discovered among the number of construction companies surveyed that there is major focus on various challenges of delay and ineffective works during the course of their construction process. As a result of the research, a model was created to aid the easy implementation of lean construction using a BIM tool without playing blind to the truth that lean construction requires a conscious change of way of thinking and order of operations within a company.
Keywords:	Construction, Sustainability, BIM, Lean, Diffusion, Integration
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	APPLICATION OF SPECTROGRAM AND DISCRETE WAVELET TRANSFORM FOR EMG PATTERN RECOGNITION
Author:	JINGWEI TOO, A.R. ABDULLAH, NORHASHIMAH MOHD SAAD, N MOHD ALI, T.N.S. TENGKU.ZAWAWI
Abstract:	Electromyography (EMG) pattern recognition has recently drawn the attention of the researchers to its potential as an efficient manner in rehabilitation studies. In this paper, two time-frequency methods, discrete wavelet transform (DWT) and spectrogram are employed to obtain the time and frequency information from the EMG signal. Seventeen hand and wrist movements are recognized from the EMG signals acquired from ten intact subjects and eleven amputee subjects in NinaPro database. The root mean square (RMS) feature is extracted from each reconstructed DWT coefficient. On the other hand, the average energy of spectrogram at each frequency bin is extracted. The principal component analysis (PCA) preprocessing is applied to reduce the dimensionality of feature vectors. Four different classifiers namely Support Vector Machines (SVM), Decision Tree (DT), Linear Discriminate Analysis (LDA) and Naïve Bayes (NB) are used for classification. By applying SVM, DWT achieves the highest mean classification accuracy of 95% (intact subjects) and 71.3% (amputees). To validate our experimental results, the performance of DWT and spectrogram features are compared to other conventional methods. The obtained results obviously evince the superiority of DWT in EMG pattern recognition.
Keywords:	Electromyography (EMG), Discrete wavelet transform (DWT), Spectrogram, Pattern recognition
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	GRAVITATIONAL SEARCH ALGORITHM FOR EFFECTIVE SELECTION OF SENSITIVE ASSOCIATION RULES
Author:	GAYATHIRI P , Dr. B POORNA
Abstract:	Association rule mining is the process of identifying the frequent items and associative rules in a market basket data analysis for large set of transactional databases. Association rules are employed in different data mining applications including web mining, intrusion detection and bioinformatics. In recent years it has been seen tremendous advances in the ability to perform effective association rule mining. It causes the need of sensitive rule selection to enhance the privacy preservation of data transactions. A new technique called Gravitational Search Based Sensitive Rule Selection (GS-SRS) is proposed to select the sensitive rules is to be hided for improving the privacy preservation of transactional database. The GS-SRS technique is introduced to select the sensitive rules from the derived association rule through conditional probability. The sensitive rules contain the sensitive information of transactional database. Sensitive rules are identified for many applications. One of the applications of sensitive rule identification is to preserve the privacy of an organization or an individual by hiding these rules. The GS-SRS technique initially generates association rules through identifying the frequent items by using conditional probability-based association rules and support count and confidence value. Next, GS-SRS technique used gravitational search algorithm that lists the cohesive and non-cohesive items for the given transactional database in shorter time than the conventional means of feature selection using Rough Set technique. The association rule containing more cohesive items is selected as sensitive rule. A threshold value is used to select sensitive rules with the convergence of cohesive items and divergence of the non-cohesive items. Finally, the sensitive rules selected are hided for preserving the privacy of transactional database. The experiments have been carried out on transaction database using four data sets and compared with state of art existing techniques. The experiment results show that the proposed GS-SRS technique is able to improve the accuracy of privacy preservation with minimum execution time when compared to state-of-the-art works.
Keywords:	Association Rule Mining, Gravitational Search, Sensitive Rule Selection, Conditional Probability, Cohesive Items, Non Cohesive Items
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	PERFORMANCE ASSESSMENT OF FUZZY AND NEURO FUZZY BASED ITERATIVE IMAGE FUSION OF MEDICAL IMAGES
Author:	Dr . K. SRINIVASA REDDY , Dr. CH.RAMESH BABU., Dr D. SRINIVASA RAO, G.Gopi
Abstract:	Medical image fusion is a significant job to regain an image which delivers as much as evidence of the same body part at the similar time it also assistances to decrease the storing capability to a particular image. In this paper an assessment is completed between conventional image fusion methods; principal component analysis (PCA), discrete wavelet transform (DWT) and the projected fuzzy and neuro fuzzy based iterative image fusion techniques. The proposed method fuses images based on fuzzy inference system (fis) prepared. Experimentations have been finished on two different sets of multimodal medical images of brain. The projected technique is perceivably and significant related with the present approaches. For the assessment of the projected image fusion technique ten diverse measures is prepared and utilized of, namely Image Quality Index (IQI), Mutual Information Measure (MIM), Fusion Factor (FF), Fusion Symmetry(FS), Fusion Index (FI), Root Mean Square Error (RMSE), Peak Signal To Noise Ratio(PSNR), Entropy(E), Correlation Coefficient (CC) and Spatial Frequency (SF). Assessment outcomes demonstrated that the projected image fusion technique mechanisms improved than any of the conventional image fusion techniques.
Keywords:	Medical image fusion; Fusion Index; neuro fuzzy
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	INFORMATION SEARCH AND INTENTIONS TO PURCHASE: THE ROLE OF COUNTRY OF ORIGIN IMAGE, PRODUCT KNOWLEDGE, AND PRODUCT INVOLVEMENT
Author:	YOSSIE ROSSANTY, MUHAMMAD DHARMA TUAH PUTRA NASUTION
Abstract:	This research purpose is to examine the effect of the country of origin image, product knowledge and product involvement in information search and intentions to purchase. Analysis of data used Structural Equation Modeling which operated by Lisrel version 8.5. Data obtained by 180 respondents from three cities in North Sumatera, Indonesia. The result of the research demonstrates that the country of origin image has a positive and significant effect on information search and intentions to purchase. Furthermore, Product involvement has a positive and significant effect on information search and intentions to purchase. However, product knowledge does not affect information search and intentions to purchase. The selection of media and technology are accurate to deliver information the launch of a product, and it will increase consumer's knowledge.
Keywords:	Information Search, Intentions to Purchase, Country of Origin Image, Product Knowledge, Product Involvement
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	BEE INSPIRED DETECTING AND TRACKING OF CURRENTLY DEVELOPING NEWS STORIES FROM THE WEB
Author:	ŠTEFAN SABO, PAVOL NAVRAT
Abstract:	In this paper we present an approach to detection and tracking of currently unveiling news stories through analysis of news articles obtained from the Web. Articles are obtained using algorithm inspired by honey bees foraging for food. Due to the distributed dynamic nature of communication protocol utilized among bee workers when foraging for food, we are able to detect, evaluate and retrieve articles related to current news events from the web. During this process key terms related to news stories are identified and relationships between articles are established based on these terms. This results in a graph of nodes modelling the article space. The graph is updated and appended in a flexible way based on the real time changes in the articles. News stories are subsequently extracted from the graph using modularity optimizing graph algorithms.
Keywords:	Dynamic Story Tracking, Detecting A Developing News Story, Beehive Metaphor, Nature Inspired Algorithm, Story Word
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	SIMPLIFIED CORAL MODELING IN BATIK PATTERN GENERATION
Author:	PURBA DARU KUSUMA
Abstract:	Coral is one of ocean organism that is beauty and various. Unfortunately, this diversity has not been explored to create artistic pattern, especially batik. Although there are lots of nature based batik patterns, most of these patterns are developed based on land plant. In the other hand, Indonesia as an archipelago country has lots of ocean biota and one of them is coral. In this research, we propose simplified computational coral model. The simplification is needed because modeling real coral growth or morphology is very complicated and resource consuming. This model then is implemented to create batik pattern computationally. This model is developed based on the stochastic approach. In this research, we propose three coral models based on the genus: Leptoseris, Gardinesoris, and Acropora. These basic coral models then have been implemented to generate batik pattern by adding artistic objects. Based on several tests, changing some controlled variables can generate different shapes or variation. In some range, the generated image still can be recognized as coral. In other range, the result image cannot be recognized as coral anymore. By ignoring complicated the environmental and biological aspects, the proposed model still can generate coral pattern and then is implemented to generate batik pattern.
Keywords:	Batik, Coral, Stochastic, Continue System
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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Title:	A WEB USAGE ASSOCIATION LEARNING METHODS BASED ON MINING TECHNIQUES FOR WEB PERSONALIZATION
Author:	Y.RAJU , DR D. SURESH BABU , DR.K.ANURADHA
Abstract:	The increase in information resources on the World Wide Web allows users to find the information they need and navigate through multiple sites on the web. Because the web is huge and complex, users often unable to reach the lookout page when surfing the web. Web personalization is one of the potential conducts to solve this problem by leveraging the knowledge gained from the analysis of users accessing activities in the web usage logs to adapt the content and structure of the website to our needs. The existing approach focuses more on building user profiles that rely on web pages or documents that affect the effectiveness of web personalization. In this paper, we propose a web usage association (WUA) learning methods based on log usage association learning and personalized cluster mining technique for effective web personalization. The proposed method classifies the data using "frequent pattern mining (FPM)" and "Multi-Stage Association Rules (MAR) for the user's interest in navigation sites and personalization, and the chronic relationship of web usage using hierarchical methods and clustering. The Experimental evaluation has shown that the proposed approach has achieved effective personalization precision measurements for user interest and can be used in real-time personalization systems to minimize the storage cost and provide the provisioning for resources personalization in real time systems.
Keywords:	Web Usage, Association Learning, Log usage association learning, personalized cluster, Personalization.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2018 -- Vol. 96. No. 10 -- 2018
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