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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
February 2019 | Vol. 97 No.04

Title:	AN EFFICIENT METHOD OF EEG SIGNAL COMPRESSION AND TRANSMISSION BASED TELEMEDICINE
Author:	ISMAIL@ISMAIL YUSUF PANESSAI, AZMI SHAWKAT ABDULBAQI
Abstract:	In this article, an efficient algorithm for EEG signals compressing and transmission based on RLE and DWT was introduced. The compression ratio (CR) provided by this algorithm is relatively high with low percent root-mean-square difference (PRDN) values. 50 records of EEG patients were monitored from the life database. Each record of EEG signals is commonly reported at the sampling rates in clinical and research settings between 250 and 2000 Hz. On the other hand, the new EEG data collection systems are able to record at sampling rates more than 20,000 Hz. The signals can be analyzed in both the time domain (TD) and frequency domain (FD) under using DWT where it preserves the necessary and main features of the EEG signals. Next step to implement this proposed algorithm is using the thresholding and the quantization over EEG signals coefficients and then encoded the signals by using RLE that enhancement significantly the compression ratio (CR). This article presents a robust method of EEG signal compression and transmission consists of DWT (discrete wavelet transform) and RLE (run length encoding) in order to improve and enhanced the compression. The suggested model presents an average values of CR (compression ratio), PRD (percentage root mean square difference), PRDN (normalized percentage root mean square difference), QS (quality score ), and SNR (signal to noise ratio) of 44.0, 0.36, 5.87, 143, 3.53 and 59.52 alternately over 50 records of EEG data.
Keywords:	Encephalopathy, Run-Length-Encoding(RLE)-Discrete Wavelet Transform(DWT); Compression Ratio(CR);Telemedicine, Savitzky–Golay filter(SG filter).
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	USER EXPERIENCE QUESTIONER AND HEURISTICS EVALUATION IN ONLINE LEARNING ENVIRONMENT
Author:	SITI NUR AISYIAH SYAHRIR, SFENRIANTO
Abstract:	Online learning has an important role to support learning activities. Although it has been widely used by various universities, there is always effort to increase the interest of the user using a system of online learning which can be measured through user experience. Several quantitative and qualitative studies have been conducted to measure online learning from the aspect of the user experience; however, such a study is still arranged separately. This research discusses user experience measurement using two methods, namely user experience questioner (UEQ) as a quantitative study and evaluation heuristics (HE) as a qualitative study. The data retrieving in the measurement of user experience is run by distributing questionnaires to 100 students of the online-learning program in University xyz. Subsequently, the data was analyzed by employing UEQ and HE. The research results showed that the input and suggestions form users online learning is relatively similar. Results on UEQ attractiveness resulted in highest value and the novelty aspect of the lowest. While the results HE all aspects which had a good evaluation of the results, however there is still deficiencies which in the measurement HE will further detailing of which parts should be more focused on. On the final results, there are suggestions that HE may be the fix for combining UEQ and HE cannot be done, because each has its own distinctive aspects in the measurement. But both can complement the results of research with their respective advantages.
Keywords:	UX; User experience; the questioner heuristics evaluation; Online learning
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	CHOICE OF INDICATORS OF SUSTAINABLE URBAN MOBILITY FOR CASABLANCA AND CALCULATION OF SOME INDICATORS USING A GEOGRAPHICAL INFORMATION SYSTEM
Author:	ISHAK HBIAK, ABDELAZIZ ADIDI, JEAN-PIERRE NICOLAS, ELHASSAN EL BRIRCHI
Abstract:	Sustainable transportation is a direct expression of sustainable development in the transport sector. The urban transport planning must consider the four pillars of sustainability: economic, social, environmental and institutional. Casablanca, like many cities in developing countries experiencing a rapid urban growth with a great difficulty to ensure the urban transport services. Therefore, there is a low part of public transportation in the urban mobility, against a big demand on the private vehicle beside a significant presence of informal transport. This complicates the planning effort maintained by the actors in the city that provide significant efforts to ensure the operational management of urban transport. This work aims to strengthen the position of sustainability in the planning process undertaken in Casablanca. Thus, we propose to analyze, compare, and choose a set of sustainable mobility indicators adapted to the context of Casablanca including offer, demand, economic, social, environmental and governance indicators. These selected indicators are also a tool for data collection and measurement on sustainable mobility in the urban area of Casablanca. We also use a Geographical Information System environment in order to integrate public transport data and offer maps in addition to population data into a Geodatabase. Spatial analysis helps us to compute a set of selected indicators especially those related to the offer and social issues. This indicators system was used, to show the unsustainability of the urban transport system of Casablanca.
Keywords:	Casablanca, Sustainable Mobility, Indicators, Urban Planning, Geographical Information System.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	WHAT WECHAT CAN LEARN FROM WHATSAPP? CUSTOMER VALUE PROPOSITION DEVELOPMENT FOR MOBILE SOCIAL NETWORKING (MSN) APPS: A CASE STUDY APPROACH
Author:	WONG SZE WAN, OMKAR DASTANE, NURHIZAM SAFIE MOHD SATAR, MUHAMAD YUSNORIZAM MA’ARIF
Abstract:	As a result of digital technology revolution and massive growth of smart phone usage, over 66% of world’s population (4.92 billion) is using mobile phones and over half of them are using social media. Mobile social networking (MSN) becomes one of the key communication tool, new trend, necessity and lifestyle. With information transparency, consumer value changes quickly, whilst rapid adaptation of similar offerings in the market place, it is essential for suppliers to keep pace with consumer value changes those directly affect the consumer satisfaction and loyalty. The research applies academic models and frameworks to the real life situation to develop a value proposition in the practical world by considering WeChat (1 billion active users) as the company under study and comparing it with WhatsApp (1.5 billion active users) as the leading competitor in the market. The objectives include identification of customers’ perception of a value for mobile social networking (MSN) services, followed by critical evaluation of existing value proposition of WeChat with Whatsapp to identify gap and finally to propose a new value proposition for WeChat. This paper first identifies customer perceived value (CPV) of mobile social networking (MSN) apps using Overby and Lee’s model (2004) model followed by critical review of existing value proposition of WeChat and then comparing and contrasting with the leading player WhatsApp. Frameworks developed by Piercy (2009), Anderson J. et al. 2006 are employed for the same. Finally, the case develops new value proposition for WeChat by using Osterwalder et al 2014 and other frameworks. By the end of this research, a new consumer value proposition (CVP) proposal for WeChat is proposed for consideration in matching with the globally evaluated consumers’ value criteria.
Keywords:	Consumer, Perceived Value, Mobile Social Networking, Social, Value proposition
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	EVALUATION OF SYSTEMS AND INFORMATION TECHNOLOGY SERVICES TO IMPROVE THE OPERATIONAL PERFORMANCE OF COMPETITIVE COMPANIES
Author:	WAHYU SARDJONO, SYALDAN ADILAT HAKIM
Abstract:	The development of systems and information technology in the current era of globalization, so many companies take advantage of the contribution of the system and technology to make the company's business processes effective and efficient, however often the target planned by the company contained in the service level aggrement, is very difficult to be fulfilled, while the characteristics of the problem are also not easy to know. Based on the problems that often occur in companies in utilizing and implementing systems and information technology, this article tries to discuss how to evaluate the system and information technology and find out what factors are the cause, then by knowing the causal factors can be built mathematical models that can be used to build simulations so that it can be used as a solution in dealing with problems that occur in the future. The method used in this study is the method of factor analysis and regression methods. The results obtained from this study are knowledge development service factors, service development processes and service outcomes and objectives that must be considered by the company, then a simulation model can be made that can be used as an alternative in building predictions to anticipate future problem handling.
Keywords:	Systems Evaluation, Operational Performance, Competitive Corporate, Factor Analysis
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	RESOURCE MANAGEMENT AND CONVERSION PROCESS IN MULTI-FORMAT DISTRIBUTED WORLD WEB3D FRAMEWORK
Author:	MURSID WAHYU HANANTO, AHMAD ASHARI, KHABIB MUSTOFA
Abstract:	Current Web3D no longer only contains simple objects or sceneries with low complexity. Even without the addition of certain application features, the content of a Web3D site can be so complex that its development can take a long time. Development time can be reduced by using contents or complete world from other sites, so users can directly display views that integrate various content according to the distributed world principle in Web3D. However, this principle cannot be applied to contents with different document formats, as general browsers can only display one format at a time. The proposed solution is a framework which contribute to the distributed world principle by adding the ability to combine two or more format in a single world. This Framework allows users to combine contents from multiple source sites and formats at once. To overcome the major weakness from the browsers, all document format originating from the source worlds need to be uniform. A series of resource preparation followed by conversion process have been developed so that all content has the same format. Prior to conversion, resources from source worlds were managed locally. The process model of the framework has been implemented and able to demonstrate the capabilities needed to convert two or more worlds with different formats to be displayed in one browser window, thus users can interact with the combined worlds as if they were navigating in a single large world.
Keywords:	Multi-format, Management, Conversion, Framework, Web3D
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	STEREOSCOPIC IMAGE COMPRESSION USING CURVELET
Author:	THAFSEELA KOYA POOLAKKACHALIL, SARAVANAN CHANDRAN
Abstract:	Recent advancements in the field of stereoscopic image display brings up new challenges, especially in the transmission of images and their storage. This factor arises as in stereoscopy where two similar images with different phases are sent to the human brain to produce a 3D visual perception, the amount of space required for their transmission and storage is twice when compared to normal image display. Digital image compression is the sound solution to these challenges. The features of curvelets, viz. anisotropic scaling and better directional sensitivity assists in the efficient illustration of image edges with lower number of non-zero coefficients and hence the motivation for this novel approach, Stereoscopic Image Compression using Curvelet and Arithmetic Coding (SICCAC). Here, thresholded, quantization depended mechanism is exploited to preserve few important coefficients of the curvelets followed by arithmetic encoding. The experimental analysis display high compression ratio and PSNR. The proposed method is compared with Image Compression Algorithm based on Curvelet Transforms and Comparative Analysis with JPEG and JPEG 2000(ICACT). It is observed that proposed SICCAC outperforms ICACT.
Keywords:	Curvelet, Stereoscopic Image, Image Compression, Lossy Compression, Quantization, Compression Ratio, PSNR
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	EWOM-BASED CONSUMER PREFERENCE FOR DECISION MAKING ON STAY OVERNIGHT AT HOTEL
Author:	YADI JANWARI, PUTRI DIESY FITRIANI
Abstract:	The aim of this study is to find out how much Electronic Word of Mouth (EWOM) marketing and the influence of price level to consumer’s decisions to stay overnight at hotel, where the case of this study at the Sharia Hotel in Bandung city, Indonesia. The method that used in this study is an effective causal analysis that examines the causal relationship of predetermined research variables. The analysis that used is statistical analysis (path analysis). The results show that EWOM have a positive and significant influence on consumer decision making in deciding stay overnight. The influence of the variables tends to be low because the price-level variables and EWOM have an opposite relationship. The results of multiple regression states that the relationship of price-level variables to consumer decisions is negative which means that the higher the price the lower the consumer's decision to stay overnight at the Sharia Hotel. While the results of the hypothesis test states that the price level has no significant effect. While EWOM variable according to the result of multiple regression have positive correlation and hypothesis test result which stated that EWOM have significant effect to consumer decision to stay overnight at Sharia Hotel.
Keywords:	Consumer Preference, Decision Making, EWOM
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	SUCCESS FACTORS IN A MOOC MASSIVE DEVICE : QUESTIONS AND CHALLENGES
Author:	KHALID EL KHADIRI, OUIDAD LABOUIDYA, NAJIB EL KAMOUN, AND RACHID HILAL
Abstract:	Since their appearance and widespread use in 2015, MOOCs, Massive Open Online Courses are considered as a new online learning form powered by technology. The number of these courses (MOOCs) has exceptionally increased in recent years, and the number of the digital platforms that host them has steadily increased. The most known are the following platforms: Coursera, edX, and Udacity in the United States, FutureLearn in the United Kingdom, Iversity in Germany, and the platform FUN (France Université Numérique – Digital University France) in France. Among these platforms, there are those that are public or private and those that are for-profit or not. Given their importance in the democratization of knowledge (free and open to all) and their emergence over the past five years, MOOCs deserve the full attention of the university community: decision-makers, teachers, students, and researchers. In this article, we will examine the online/distance learning concept by presenting a study on MOOCs while describing the founding principles, types, host platforms, advantages, limits, and success factors within a massive device (MOOC). The purpose of this study is to put the light on the questions and issues relating to the MOOC phenomenon in the wave of online training.
Keywords:	Online/Distance Learning, Mooc, Spoc, Higher Education.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	ONTOLGY-BASED MASHUP MODEL FOR CONTEXT-AWARE SERVICES IN INTERNET OF THINGS APPLICATION ENVIRONMENTS
Author:	YONGGOO CHOI
Abstract:	In the IoT (Internet of Things) environments, an integrated context model is mandatory for governing both context information and context awareness in a unified and coherent way. The core goal of the model is to enhance interoperability of heterogeneous contexts and reduce complexity of context-aware computing under the highly dynamic situations. For realizing this goal, this paper proposes an OntoMash model for adaptable context awareness and semantic reasoning services in the IoT information systems. The OntoMash model is an aggregation of multi-context information based on ontology technologies for managing overall situations in the IoT environments. The model is able to accommodate multiple context types from heterogeneous and distributed context sources and illuminate complex and diverse semantic relationships between context classes. In the OntoMash modeling scheme, frameworks and ecosystems are designed to represent its general and global models. The applications of OntoMash model are discussed in OntoMash adaptation for context-aware reasoning. Furthermore, in order to investigate the strengths and drawbacks of the OntoMash model, their performance issues are discussed according to the evaluation indices. Through simulation models, the evaluation results preliminarily demonstrate the adaptable benefits of the model in the IoT environments.
Keywords:	OntoMash, Ontology, Semantic Mashup, Context Reasoning, Context Awareness, Internet of Things (IoT)
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	EFFICIENT CLUSTER HEAD SELECTION AND OPTIMIZED ROUTING IN WIRELESS SENSOR NETWORK (WSN)
Author:	WALEED KH. ALZUBAIDI, SHAIMAA H. SHAKER
Abstract:	Wireless Sensor Networks (WSN) comprises with numerous sensor nodes which are connected with each other through the usage of short distance wireless links. The data transfer among the individual nodes is found to be energy constrained and there is a huge requirement of energy efficient protocol in WSNs. Furthermore, deployment of large number of sensor nodes increases the network size which in turn increases the rate of energy consumption. In this research, an efficient protocol is developed comprising the formation of grid based communication network, selection of efficient path through cluster head selection and data communication. Furthermore, multi stage authentication is implemented to provide security for the data transfer from source node to destination node. Implementation is carried out through NS2 based platform and the result obtained shows that proposed system outperforms other existing techniques in terms of packet delivery and energy utilization through network lifetime.
Keywords:	Wireless Sensor Networks (WSN), Cluster Head(CH) Selection, Replication, Data Communication.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	A SOFT COMPUTING APPROACH TO OPTIMIZE COMPONENT BASED SOFTWARE COMPLEXITY METRICS
Author:	POOJA RANA, RAJENDER SINGH
Abstract:	Identification of software components is found to be a crucial task and remains as a challenging area in the software domain to extract optimal components from the component repository[18]. Several methods are deployed to identify the software components and observed that clustering based technique is frequently used and offer a solution with certain limitations such as prior specification of a set of clusters, overlapping and difficulty in selecting the correct distance metric. In this research, an optimization technique is applied on some components to get the best result. The genetic algorithm using the concept of number of chromosomes is applied on software complexity metrics such as Cohesion of Variables within a Component (COVC), Cohesion of Methods within a Component (COMC) and Total Cohesion Complexity of a Component (TCCC) which are proposed by Rana and Singh et.al [14]. Fitness function metrics is proposed for finding out the fitness value. Rana and Singh also empirically evaluate cohesion metrics(COVC, COMC, TCCC) and perform comparative analysis with existing metrics in another research paper [15]. In this paper genetic algorithm is applied on these metrics for optimization of results. After application of genetic algorithm, SPSS a statistic tool is applied on the result to find out the significance of result. The result obtained shows that better optimization of software metrics is obtained through application of genetic algorithm compared to without usage of genetic algorithm.
Keywords:	Software Component Metrics, Software Cohesion, Reusability, Maintainability, Genetic Algorithm.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	IMPROVED ENERGY EFFICIENT LEACH IN WIRELESS SENSOR NETWORKS
Author:	GAURAV KUMAR NIGAM, CHETNA DABAS
Abstract:	In this paper, a hierarchical energy efficient LEACH is proposed using different machine learning and graph algorithms by using K-Means and Greedy Algorithms. Under Greedy algorithm, Dijkstra’s algorithm is used. The shortest path determined in each iteration provides the most energy efficient path. The research gaps in the existing LEACH have motivated various authors to improve it and tried to overcome its demerits and proposed new protocols to overcome its deficiency. The simulation is performed in python 3.6 and the simulation result depicts that all nodes become dead when network completes around 1190 rounds in LEACH whereas in the proposed energy efficient LEACH protocol all nodes are dead after about 2250 rounds. Hence, the proposed protocol enhances lifetime of the network.
Keywords:	WSN, CH, BS, LEACH TDMA
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	AUV PATH PLANNING BASED EFFICIENT ROUTING FOR UNDERWATER LINEAR SENSOR NETWORKS
Author:	ZAHOOR AHMED, KAMALRULNIZAM ABU BAKAR, MUHAMMAD ZAHID ABBAS, MUHAMMAD AYAZ, EL-HADI M. AGGOUNE
Abstract:	The Linear Sensor Networks (LSNs) have gained much attention of the researchers due to their several positive aspects including easy deployment for linear structures and robustness in various environments. Although, such types of LSNs are suitable for many applications and scenarios but considered ideal for oil, gas, and water pipeline monitoring. In the previous studies, Autonomous Underwater Vehicles (AUVs) are used to receive data from every sensor on the LSNs which leads to longer delays and routing overhead. Also, only homogeneous sensors have been considered in the previous studies, which is not realistic in the real life scenario of sensor deployment. This research focuses on heterogeneous LSNs to monitor underwater pipelines where data is collected from the sensor nodes and transmitted to a surface sink using an AUV. In proposed network architecture which is called AUV Path Planning-based Efficient Routing (APPER), AUV only receives data from sensor nodes with higher resources, hence leads to balance the nodes resources ultimately helping to increase the network life. The impact of AUV usage is high unlikely pure multi-hop approaches as other than offering reduced delays and better delivery ratio with better network lifetime, most importantly it can be extended for hundreds of kilometers. Simulation results exhibit that APPER achieved improved network performance in terms of network topology distribution, packet delivery ratio, end-to-end delays, and routing overhead as compared to the existing routing techniques including Dynamic Addressing Routing Protocol for Pipeline Management (DARP-PM) and AUV-based Linear Sensor Networks (ALSN) respectively.
Keywords:	Underwater Pipelines Monitoring, Autonomous Underwater Vehicles (Auvs), Linear Sensor Networks, Heterogeneous Node Deployment, Data Forwarding
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	A PROPOSED MODEL FOR DESIGNING E-LEARNING COURSES
Author:	MAHER TALAL ALASAADY, MUSTAFA GHANEM SAIED, FAHAD LAYTH MALALLAH
Abstract:	E-learning has become an effective component in most educational institutions; for this reason, there is a clear need to develop general principles and standards through a systematic model to design e-learning systems. There are many models of e-learning courses design, but they are differentiated in quality, in most of these models there is a gap between the needs of system developers, content designers, lecturers, and students. In this research, a new model was proposed to design e-learning courses in an attempt to bridge this gap. The proposed model carries out the analysis, design, and development of courses for e-learning systems and its application, then how to evaluate the performance of this system and its usability. A case study was developed by the stages of this proposed model and using Moodle platform, it illustrates the creating courses process, study plans, lessons for each semester, and the analysis, design, and creation of scientific content. where the scientific content was designed based on the educational approach used by Iraqi universities.
Keywords:	Software Engineering, E-Learning, Software Modelling And Design, Requirements Engineering.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	A COMPARATIVE STUDY ON THE EFFECT OF CULTURAL DIMENSIONS ON SOCIAL CAPITAL AND LIFE SATISFACTION BETWEEN FILIPINOS AND KOREAN FACEBOOK USERS
Author:	RICHARD BASILISCO, JAE KWON BAE, KYUNG JIN CHA
Abstract:	Facebook is considered as the leading social network site that has attracted millions of users across countries. However, the motivations for using Facebook may differ with each country. Studies on the relationship between Facebook motivation, usage, social capital and life satisfaction have been conducted in a relatively limited context, such as within in a single country or a single demographic population. Although much research has shown significant results in their studies concerning SNS by just using one or two dimensions of Hofstede’s cultural dimension, taking out the other cultural dimensions may not really represent the whole cultural attributes of the samples. Comparative research about Facebook has had so much emphasis on comparisons between Western and Asian countries not much of two Asian countries. This study showed the influence of all of Hofstede’s cultural dimensions on to the motivation to use Facebook and the impact of their usage to their social capital and life satisfaction between Filipinos and Koreans. The 243 Filipino and 235 Korean respondents of the survey were processed using SPSS and AMOS. The findings of the study suggest that for Filipinos, the overall Hofstede cultural dimension has a significant influence on the identified motivations such as seeking friends, entertainment, information, convenience and social support. On the other hand for South Koreans, Hofstede cultural dimensions influence motivation such as seeking friends, information, convenience, and social support except entertainment. The study also reveals that the primary motivation for Filipinos to use Facebook is seeking convenience, information, entertainment, and seeking friends. Filipinos don’t see Facebook as a source for social support. While for South Koreans, their primary motivation to use Facebook is seeking social support, convenience, seeking friends and information. South Koreans do not perceive Facebook as a source of entertainment. Both Filipino and South Korean Facebook activity does enhance their overall social capital and life satisfaction, suggesting that uses and gratification has been attained through their Facebook engagement.
Keywords:	Cultural Dimensions, Uses And Gratification, Motivation, Social Capital, Life Satisfaction, Facebook Use
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	ANALYSIS OF SPEECH RECOGNITION IN CONVERSATION BOT FOR INTERACTIVE MEDIA USING AUTOMATED LOG
Author:	ERI PRASETYO WIBOWO, ALVIAN RAHMAN HANIF, ARIES MUSLIM
Abstract:	Gunadarma University has been developing a Speech Intelligence Bot used either simply to automate exchanging information or as a better customer services in many industrial needs. For a basic use, this bot should be able to accept people’s oral questions and answer them appropriately. This conversation bot is using Sphinx-4 as its base technology and the process consist of human sending speech to speech recognition system and convert it into text, then the text is analyzed with MegaHal Algorithm supported with a knowledge base data, then generates reponse in a text format and convert it into speech that is sent to human. Thus, this research purpose is to develop and analyze the speech conversation bot accuracy with an Automated Logging System, though the analyzation is still attempted manually. Before answering any question, the conversation bot must define sets of arranged words as grammar using JSGF Language to understand any word it might listen. This research has done a test of asking 20 questions with 3 times repetition on each question to accumulate accuracy scores on the recognition system itself and the bot conversation as application. And the result of the test shows that from all generically 90 questions in total was tested on the bot, it shown 90% confidence score in its recognition level. And for the conversation, the bot showed a considerably low confidence score with 60% from all recognized questions are answered correctly. This results might be affected by the lack of environment control, and logic perfection in how the system accepts voices and converts them into processable data, it needs many improvements in speech recognition. Also, a better and faster way to analyze the log data so any further research could achieve more accurate result is suggested.
Keywords:	Speech recognition, Conversation Bot, Logging, MegaHal
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	CUSTOMIZED MOBILE ADVERTISING WITHOUT PRIVACY CONCERNS BASED ON SIMILARITY ATTRACTION
Author:	MYOUNGHEE SHIN, KANGWOO LEE
Abstract:	This study explores the possibility of applying the sociopsychological phenomenon known as similarity attraction to the creation of more customized and persuasive mobile advertising, and for this purpose, we develop two applications, SensPlus and PerAds. While the SensPlus app accumulates the smartphone usage profiles of participants and constructs a regression model to predict their personality, the PerAds app presents user-created content according to the user’s personality. Using these two apps, we first design an advertising scheme providing a customized and persuasive advertising method without privacy concerns and then conduct an experiment to investigate the effectiveness of the smartphone ad scheme. The participants’ response to a smartphone ad is measured in terms of invitation acceptance of the cherry blossom festival and classical music concert. We analyze the rate of invitation acceptance using the χ2 method. Our statistical analysis shows that participants respond differentially to the various types of smartphone ads according to the similarity between the personalities of the user and ad types. Our results indicate that the sociopsychological phenomenon can be introduced into practical application by replacing the personality trait factors with the smartphone usage pattern.
Keywords:	Similarity attraction, Extroversion traits, Smartphone usage profile, Customized advertising, Non-privacy invasive
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	AN ARCHITECTURAL DESIGN OF A NOVEL SECURED SEMANTIC META SEARCH SYSTEM (SSMSS) FOR REAL TIME MULTI-DOMAIN WEB DATA AND PERFORMANCE EVALUATION OF SSMSS AGAINST BASELINE SYSTEMS
Author:	SUDEEPTHI GOVATHOTI, K.VENKATA RAO
Abstract:	In recent years, the World Wide Web allows people to share and reuse high volumes of information. Information retrieval (IR) is defined as a process to search for information from a larger set of structured documents. Search engines are the most popular Web IR tool used. Web information retrieval performs search globally from the largest collection of documents that are linked via a network and provide search services on the internet through web search engines namely: Google, Yahoo, and Bing. In this context, a critical study has been conducted on Meta Search engine, semantic web capabilities and cryptography to identify effective techniques for information retrieval. A novel Secured Semantic Meta Search System (SSMSS) is developed with the ideology of applying data security and semantic web capabilities to Meta search engine for processing real-time multi-domain web data in textual form. A critical study of some of the popular baseline search system is discussed. This paper aims at evaluating the performance of secured semantic Meta search system against four baseline search systems namely: Swoogle, Metacrawler, Dogpile and SenseBot. The relative performance results are analyzed and presented for proposed (SSMSS) search system against four baseline systems by considering the performance metrics namely: relevancy and irrelevancy score.
Keywords:	Meta search engine, Pruning, Cryptography, Semantic search, Page rank, Information retrieval.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	A STUDY ON REPRESENTING NATURAL SENSE OF ATTACK AND DESTROYING BODY-PART IN 3D GAME BASED ON UNREAL ENGINE 4
Author:	CHANHYUN KIM, YOUNGSIK KIM
Abstract:	The system component of the game called destruction has basically a feature that makes users feel more action and thrill. This feature can give players more realism and more immersion in the game. Especially, if we apply this system element to Virtual Reality (VR) technology which is emerging recently, we can simulate dangerous experiments that can not be done in reality in real time in other fields than the game. In this paper, we propose a mathematical method to produce a natural destructive fracture in First Person Shooter (FPS) games. Through the simulation using the Unreal Engine 4, the proposed method proved the efficiency of the physics and mathematical expressions derived from the colliding objects and the experiment in order to achieve optimal part destruction. By setting the frame rate of a 3D game based on Unreal Engine 4 between 30 and 60, we can simulate the partial destruction of a 3D game character while reproducing a natural sense of attack.
Keywords:	Natural Sense of Attack, Body-Part Destruction, 3D Game, Unreal Engine 4, Rendering Speed
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	AN EFFICIENT JOB SHARING STRATEGY FOR PRIORITIZED TASKS IN MOBILE CLOUD COMPUTING ENVIRONMENT USING ACS-JS ALGORITHM
Author:	C.ARUN, K.PRABU
Abstract:	In recent times, users necessitate and expect more demanding criteria to perform computational intensive applications on their mobile devices. Based on the mobile device limitations such as processing power and battery life, Mobile Cloud Computing (MCC) is turned to be a more attractive choice to influence these drawbacks as a mobile computation can be provided to the cloud, which is coined as Mobile computation offloading. Prevailing researches on mobile computation offloading determines offloading mobile computation to single cloud. Moreover, in real time environment, computation service can be offered by multiple clouds for every computation services. Therefore, a novel and an interesting research crisis in mobile computation offloading begins with, how to choose a computation service for every tasks of mobile computation like computation time, energy consumption and cost of using these computation services. This is also termed as multi-site computation offloading in mobile cloud computation. In this investigation, offloading computation to diverse cloudlets/data centres with respect to task scheduling is formulated for examination. So, a heuristic algorithm known as Accelerated Cuckoo Search Algorithm based job sharing is designed to attain higher data transmission rate in the MCC. The results of the anticipated method outperform the prevailing methods in terms of effectual job sharing; transmission speed, Bandwidth used, execution time of a job, transmission value, through put value, buffering overhead and reduced waiting time. The simulation was carried out in Cloudsim environment for superior output.
Keywords:	Computation Offloading, Mobile Cloud Computing, Scheduling, Heuristic Algorithm, Job Sharing.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	ANALYSIS OF INPUT,CALCULATE, REPORTING BASED ON SYSTEM ERP ON EMPLOYEE PERFORMANCE (STUDY CASE : PT.SHP)
Author:	ANGELINA EVELINE WIBISONO, SFENRIANTO, MONA PARLINGGOMAN SIREGAR, DEWI AZIZAH ARHAM
Abstract:	This case study discusses the analysis of ERP implementation on current employee performance. Employee performance is intended to see whether the employee has a good attitude and work pattern for the new ERP system. This research was conducted to find out whether the employee has inputted the ERP system properly. There are several variables that are measured to analyze the system of using ERP, namely input, calculation and reporting. This approach can provide convenience in terms of inputting, calculation and reducing data and reporting errors that are still not in line with company expectations.
Keywords:	ERP, ERP Implementation, Employee Performance
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	GAIT RECOGNITION BASED ON GEI & GABOR FILTER
Author:	GAFAR ZEN ALABDEEN SALH, ELFATIH ELMUBARAK MUSTAFA
Abstract:	The field of Human Gait Recognition is one of the active research fields. The number of studies has increased which indicates that this area is important. The present study has many benefits as it enables us to recognize a person through his gait in front of a camera even if the gait picture is taken from a long distance with a low-quality camera. Moreover, many other biometrics require special equipment; and some of them require taking the picture from a short distance. This study aims at finding a solution with high quality and efficiency in the process of recognizing human gait. This is achieved by providing a strong training set. For this purpose, we created two training sets. The first depends on figuring out human features by using Gait Energy Image (GEI). The second set depends upon figuring out human features by using Gait Energy Image (GEI), and then filtering it by using Gabor Filter. This study was conducted as an experimental research to gain ideal parameter values for Gabor Filter that contributes to enhancing the training sets samples that leads to increasing the system performance efficiency, and we found the best values for Gabor filter parameters for our system is kernel =3 ,theta = 225 , 𝛾=1.25, 𝜓=0, 𝜆=3.5, and a bandwidth =2.8. The training and testing were conducted by using (SVM) Algorithm, the study uses the gait database (CASIA-B) to evaluate our system, Then, we used (CCR) for Performance measurement . The study reached good ratios for all views with an average of 76.50% for (GEI+GABOR FILTER) and 76.42 for (GEI). Moreover, the study achieved an ideal percentage of 78.10% for (GEI+GABOR FILTER) and 77.66 for (GEI), as compared to previous studies of the positions of normal-walking, wearing-coat, and carrying-bags at a view of 90.
Keywords:	biometrics ، Human Gait Recognition ،(GEI) Gait Energy Image ،Gabor filter ، Support Vector Machine, the correct classification، rate (CCR).
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	USE OF MACHINE TRANSLATION TECHNOLOGY FOR UNDERSTANDING SCIENTIFIC AND TECHNICAL TEXTS
Author:	ILONA KOSTIKOVA, ALONA SHEVCHENKO, LIUDMYLA HOLUBNYCHA, NATALIYA POPOVA, VIKTORIIA BUDIANSKA
Abstract:	The article deals with machine translation technology, which is being discussed by several sciences such as Computer Science, Programming, Linguistics recently. The purpose of this study is to investigate how the technology of machine translation can be used by scholars, scientists, users in order to understand scientific and technical texts.The principal results are the comparison of different systems (traditional, statistical, hybrid and neural) of machine translation, assessment their advantages and disadvantages, limitations, drawbacks, and errors; experimental analysis the quality of the scientific and technical text made by machine translation systems Google Translate and Pragma Online. Common and different in both translation systems have been proved experimentally. The obtained results were processed and analyzed. The methods of analysis, synthesis, comparison and classification were used as well as the method of mathematical statistics Student’s criterion in the experimental research. The major conclusions are we definitely have all the grounds for advising Google Translate to use for general understanding scientific and technical texts.
Keywords:	Technology; Machine Translation; Neural Machine Translation; Google Translate; Pragma Online; Scientific and Technical Text
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	ONTOLOGY ALIGNMENT FOR SUPPORTING COLLABORATIVE INFORMATION SYSTEM USING UML AND ODM STANDARDS
Author:	EL MRINI MERYAM, MEGDER EL HASSAN, EL YASSA MOSTAFA
Abstract:	This paper presents an approach based on the alignment of ontologies to elaborate a collaborative information system. Nowadays collaboration has become a necessity for the different organizations and requires data and knowledge about the different partners of the collaboration. Our proposal begins with the idea of gathering knowledge from the collaboration network by transforming the class diagram of their information system to ontology using ODM metamodels in agreement with MDA architecture. We will generate Several ontologies according to the number of collaboration partners, and they will be aligned using the AML alignment algorithm to have a collaborative global ontology. To validate we applied our prototype to the case of organ transplantation which requires collaboration between different hospitals.
Keywords:	Ontologies, Collaborative Information System, Alignment, Ontology Definition Metamodel (ODM), UML
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	FEATURE EXTRACTION OF CERVICAL CANCEROUS AND NON-CANCEROUS CELLS BASED ON EDGES, REGIONS AND COLOR-INTENSITY USING FUZZY LOGIC
Author:	RAJPRIYA.R , SARAVANAN.M.S
Abstract:	Objective – This paper proposed feature extraction of Pap smear slide images and present an automated method for extracting the features from the input images (cancerous and non-cancerous cells). Fuzzy logic technique gives better results in improving the image parameters and provides a better diagnosis of cervical cancer. Methods- In this work, there are 3 stages. In first stage, preprocessed images were detecting the edges using fuzzy logic. The detected edges are converted into gray-level co-occurrence matrix for extracting texture features. In second stage, the filtered images were selecting the particular region of nuclei and segment with threshold technique for extracting region features. In third stage, the filtered images were segmented with colors using Fuzzy C-means clustering method for color-intensity features. Results – There are 228 slides of different 7 classes are used to extract the features for classifying cancerous and non-cancerous cells are present in the Pap smear slides. There are 22 features are extracted from the input slides of different stages of classes. Conclusion – Feature extraction techniques provide the statistical measures for further implementation of feature selection and classification for classifying cancerous and non-cancerous cells are present in Pap smear image.
Keywords:	Feature Extraction, Edge Detection, Fuzzy Logic, Fuzzy C-Means Clustering, Threshold Technique.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	FULLY RECURRENT DEEP NEURAL LEARNING BASED UNCERTAIN DATA CLUSTERING
Author:	MURUGANANTHAM S, ELANGO N M
Abstract:	Uncertain data is the data that deviate from the exact and original values. Clustering the uncertain data is an imperative task in data mining since it provides unpredicted results. Many clustering techniques have been developed for processing the uncertain data but the robustness and accuracy were not increased. In order to increase the clustering accuracy, a Fully Recurrent Deep Neural Learning based X-means Data Clustering (FRDNL-XDC) technique is proposed for mining uncertain data with minimal time. In this technique, deep learning approach based X-means clustering is used to partition the whole dataset into different clusters for mining the uncertain data. The ‘x’ number of clusters and centroids are initialized randomly in the hidden layer. The bivariate correlation coefficient is used to find the correlation between the centroid of the cluster and the data to be clustered. Sigmoid activation function is used at the output layer where it maps the data with the centroid of the cluster to form certain data using Akaike information criterion with higher accuracy and minimum time. In FRDNL-XDC technique, feedback connections formulate to group the similar data with the minimal false positive rate. For validation, the proposed FRDNL-XDC technique is compared with the existing clustering techniques namely UKmeans clustering mechanism and UK- medoids-SMDM. The results obtained on El nino dataset show that the proposed FRDNL-XDC technique increases the clustering accuracy with less false positive rate and time complexity than the state-of-the-art methods.
Keywords:	Uncertain Data Mining, Clustering, Fully Recurrent Deep Neural Learning, X-Means Data Clustering, Bivariate Correlation Coefficient, Sigmoid Activation Function, Akaike Information Criterion.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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Title:	DIGITAL MARKETING ADOPTION AMONG SMES IN JORDAN: A MIXED- METHOD APPROACH
Author:	HUSAM YASEEN, AHMAD SAMED AL-ADWAN, AMRO AL-MADADHA
Abstract:	This article aims at determining the level of digital marketing adoption and investigating the essential requirement of digital marking adoption among Jordanian SMEs companies. A mix method approach was adopted to achieve the objectives of the study, consisted of an online survey questionnaire followed by semi-structured interviews. Two hundred seventy-nine questionnaires were collected, and fifteen interviews were conducted. The quantitative data from the questionnaire were analysed using SPSS 2.5 software and the qualitative data of each interview have been analysed using thematical and textual analysis. The finding revealed that digital marketing adoption is still in its early stage of adoption. The majority of SMEs are limited their usage to social media and email marking as a common tool for digital marketing. Moreover, lack of human skills, awareness of what digital marketing and technological tools that drives digital marketing were found to be the dominant factors to adopt digital marketing among SMEs companies in Jordan.
Keywords:	Digital Marketing, Social Media, SMEs, Jordan, Mixed- Method Approach.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2019 -- Vol. 97. No. 04 -- 2019
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