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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 Informtion Technology
December 2019 | Vol. 97 No.01

Title:	A ROBUST FRAMEWORK TO DETECT MOVING VEHICLES IN DIFFERENT ROAD CONDITIONS IN INDIA
Author:	Dr.S.APPAVU ALIAS BALAMURUGAN, BALAJI GANESH RAJAGOPAL, Dr.KUMAR PARASURAM
Abstract:	Traffic situation in India is a quite complex in nature when compared to the traffic models in other nations. It is very essential to model the traffic nature in Indian roadways, both rural and urban roads. Indian road conditions are predominantly occupies different classes of roads viz. single, double, multi-way, cross junctions etc. This research article addresses the different nature of Indian roads with an insight to model the traffic situations in different weather conditions also. The proposed system tries to solve the problem of counting and classifying the vehicles in Indian road conditions. The system uses color image based foreground moving object detection by preserving the color and model of the moving vehicles. The color image based background subtraction technique is supported by cascaded linear regression. The system also uses HoG for contour creation and extraction followed by morphological dilation to connect the missing pixels in the vehicle object. The framework uses adaptive Support Vector Machines to train and model the different classes of vehicles. It has been found that the proposed framework shows an accuracy of 92% in varying levels of traffic density, Illumination conditions.
Keywords:	Vehicle detection, Vehicle counting, Low quality video, Color image based background model, MoG, HoG, SVM Classifier
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	THE ANALYSIS OF TEXTURAL IMAGES ON THE BASIS OF ORTHOGONAL TRANSFORMATIONS
Author:	GULZIRA B. ABDIKERIMOVA, FEODOR A. MURZIN, ALEKSEY L. BYCHKOV, XINYU WEI, ELENA I. RYABCHIKOVA, TALGATBEK AYAZBAYEV
Abstract:	The aim of the conducted research is development and search of analysis algorithms of textural images. The software products, which allow analyzing successfully textures in details, can be used in different fields of science and the industry. First of all, it is chemistry and materials science. It is possible to analyze materials of organic origin, cuts of metals and minerals, ceramics, etc. Another field of research, where we can effectively apply these methods, is the diagnosis of internal pathologies of human, including malignant, according to the images received by means of the thermal imager. In this study we are talking about application of spectral decomposition on various orthonormalized bases of images, which were received by the translucent electronic microscopy. The program is implemented in the Matlab environment, which allows spectral transformations of six types: 1) cosine, 2) Hadamard of the order, 3) Hadamard of the order  prime number, i.e. based on Legendre's symbol, 4) Haar, 5) slant, 6) Dobeshi-4. Various experiments were made. The algorithms, which were studied in this research, have allowed us to allocate effectively on the analyzed images some fields, which can be characterized by different degrees of structure orderliness. To say more precisely, chemists are interested in the “disorder” areas of structure of materials, for example, during studying the ultrastructure of plant cell walls. This research was made for the Institute for Chemistry of Solids and Mechanochemistry of the Siberian Branch of the Russian Academy of Sciences. The main attention was paid to the development of software tools for the analysis of the above microphotographs. It is supposed that received characteristics for different images - textural signs, as well as various spectral coefficients can be further correlated with values, which characterize the physical and chemical properties of the analyzed material: reactivity, porosity, diffusion coefficient, and so on. For correlation, it will be possible to use algorithms for machine learning, for example, based on the neurocomputer approach.
Keywords:	Image Processing, Textural Images, Orthogonal Transformations, Microphotography Analysis, Electronic Microscopy, Herbal Raw Material.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	HYBRID ARTIFICIAL BEE COLONY ALGORITHM WITH MULTI-USING OF SIMULATED ANNEALING ALGORITHM AND ITS APPLICATION IN ATTACKING OF STREAM CIPHER SYSTEMS
Author:	MAYTHAM ALABBAS, ABDULKAREEM H. ABDULKAREEM
Abstract:	A new hybrid evolution algorithm (ABC-SA), i.e. artificial bee colony algorithm (ABC) with multi simulated annealing (SA) using, is presented. In ABS-SA procedure, the ABC provides a global search and the SA algorithm provides local search. SA processes are used to improve the original ABC algorithm into two different manners: (i) repair the initial food sources of ABC, which is generally carried out randomly, in order to look for promising areas; and (ii) selecting a candidate food source because SA can escape from local optimum point by accepting worse solutions at a particular probability in the neighbor searching period. The ABC-SA algorithm has been applied to break a number of linear and nonlinear stream cipher systems, which is one of the hard electronic cipher systems because of high security and difficulty in breaking it. The current findings are encouraging. Comparison of the results indicated that in most cases the ABC-SA algorithm outperforms the original ABC algorithm.
Keywords:	Artificial Bee Colony Algorithm, Simulated Annealing, Hybrid algorithm, Stream Cipher System
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	HIDDEN ENCRYPTED TEXT BASED ON SECRETE MAP EQUATION AND BIOINFORMATICS TECHNIQUES
Author:	ALAA KADHIM F., RASHA SUBHI ALI
Abstract:	The speedy development in informationtechnology desires the secure transmissionof confidential information that gets an excellent deal ofattention. Therefore; it's necessary to use effective methods to reinforce information security. Steganography is one in all leading technologies getting utilized around the world for along time. Biotechnological methods can be used for cryptography to improve security of data. Steganography is the act of hiding messages inside an image. Combining these two methods is a topic of high relevance since secure communication is inevitable for mankind. This research presents an analysis of steganography, by using LeastSignificantBit (LSB), DNA computing and creating a secret map for hiding data. The DNA computing was used to encrypt secret data, LSB was utilized to add the encrypted data into leastsignificantbits of the cover and the secret map was utilized to specify the location of hiding data. The same equation must be used by the sender and the receiver to create the secret map and the creation for this map depends on the shared key.
Keywords:	Least Significant Bit (LSB), DNA Computing, Secret Map, Steganography.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	BTS ALGORITHM: AN ENERGY EFFICIENT MOBILITY MANAGEMENT IN MOBILE CLOUD COMPUTING SYSTEM FOR 5G HETEROGENEOUS NETWORKS
Author:	L. PALLAVI, A. JAGAN, B. THIRUMALA RAO
Abstract:	As of late, cell phones are turning into the essential stages for each client who dependably meander around and get to the distributed computing applications. Mobile Cloud Computing (MCC) consolidates the both portable and distributed computing, which gives ideal administrations to the versatile clients. In cutting edge versatile conditions, for the most part because of the immense number of portable clients in conjunction with the little cell measure and their convenient information's, the impact of portability on the system execution is reinforced. In this paper, we propose an energy efficient mobility management in mobile cloud computing (E2M2MC2) system for 5G heterogeneous networks. The proposed E2M2MC2 system use back track searching (BTS) algorithm for congestion prediction and selection of optimal routes to manage user mobility. The simulation results shows that the proposed E2M2MC2 system helps in minimizing delay, packet loss rate and energy consumption in a heterogeneous network.
Keywords:	Mobile Cloud Computing, Mobility Management, Heterogeneous Network, Best Route, Energy Efficient, Back Track Search, distributed follow me cloud controller
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	LOW LIGHTNESS ENHANCEMENT USING NONLINEAR FILTER BASED ON POWER FUNCTION
Author:	NABEEL M. MIRZA, HANA H. KAREEM, HAZIM G. DAWAY
Abstract:	In fact, optical imaging systems produce images that demand to enhance low contrast, poor illumination, and other reasons. Thus, it is essential that those images pass through an improvement stage before testing them by specialists in many different applicative fields. Therefore, this research aims at improving the low lightness by a Nonlinear Filter Power Function (NFPF) algorithm. NFPF is applied to enhance the illumination of color images; it consists of three steps sequential: intensity enhancement, contrast enhancement, and color restoration of RGB channels. The interest of the proposed enhancement method has been evaluated depending on three criteria, namely: entropy, Normalize Mean Squared Error for Hue (NMSEH) and Normalize Mean Squared Error for Saturation (NMSES). The suggested algorithm (NFPF) was compared with four previous algorithms such as a Parallel Nonlinear Adaptive Enhancement (PNAE), New Nonlinear Adaptive Enhancement (NNAE), Multi-Scale Retinex with Color Restoration (MSRCR), and Histogram Equalization (HE). Qualitative results show that the proposed algorithm (NFPF) has outperformed other algorithms accordance to subjective and objective assessment.
Keywords:	Image Enhancement, Adaptation Power Function, Histogram Equalization, Intensity Enhancement.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	INTELLECTUAL TECHNOLOGIES AND DECISION SUPPORT SYSTEMS FOR THE CONTROL OF THE ECONOMIC AND FINANCIAL PROCESSES
Author:	BIDIUK P.I., PROSIANKINA-ZHAROVA T.I., TERENTIEEV O.M., LAKHNO V.A., O.V. ZHMUD
Abstract:	A computer based decision support system is proposed the basic tasks of which are adaptive model constructing and forecasting of various types of processes that are developing in socio-economic systems under the influence of fundamental structural changes. The complexity and urgency of the solvable problem is the need to provide acceptable quality forecasts of financial and economic indicators for short data samples, when the usage of retrospective data is impossible or significantly limited. The DSS development is based on the system analysis principles, i.e. the possibility for taking into consideration of some stochastic and information uncertainties, forming alternatives for models and forecasts, and tracking of the computing procedures correctness during all stages of data processing. A modular architecture is implemented that provides a possibility for the further enhancement and modification of the system functional possibilities with new forecasting and parameter estimation techniques. In addition, the proposed system, thanks to the modular architecture, can be improved by using the software of different vendors without any additional structural changes. A high quality of the final result is achieved thanks to appropriate tracking of the computing procedures at all stages of data processing during computational experiments: preliminary data processing, model constructing, and forecasts estimation. The tracking is performed with appropriate sets of statistical quality parameters. Example is given for estimation of financial risk in insurance sphere and the electricity consumption in terms of energy saving. The examples solved show that the system developed has good perspectives for the practical use. It is supposed that the system will be universal and find its applications as an extra tool for support of decision making when developing the strategies for companies and enterprises of various types.
Keywords:	Mathematical Model, System Analysis Principles, Adaptive Forecasting, Decision Support System, Risk Estimation
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	APPLICATION OF SUPPORT VECTOR REGRESSION FOR JAKARTA STOCK COMPOSITE INDEX PREDICTION WITH FEATURE SELECTION USING LAPLACIAN SCORE
Author:	ZUHERMAN RUSTAM, KHADIJAH TAKBIRADZANI
Abstract:	Researchers and investors have been searching for accurate model to predict the stock value. An accurate model prediction could gain profits for investors. According to Indonesia Stock Exchange, stock is becoming one of the most popular financial instrument in Indonesia. Investors take the smaller sample called index that represent the whole because it would be too complicated to record every single security that trades in the country. There are many stock indices in the world, one of them, is Jakarta Composite Index (JKSE). One of the benefits of following the stock indices value is to reduce the loss in investment. Thus, this paper is focused in supervised learning method to solve regression problem, Support Vector Machines for Regression (SVR). There are fourteen technical indicators calculated in this paper. Laplacian score will be calculated for each fourteen technical indicators. Laplacian score is calculated to mirror the locality preserving power. Support Vector Machines for Regression (SVR) with feature selection using Laplacian Score is the proposed methodology with Jakarta Compostie Index (JKSE) are considered as input data. The best model is the prediction model with thirteen features and 30% training data which has value of Normalized Mean Squared Error (NMSE) is 1.30691E-07
Keywords:	Laplacian Score; Support Vector Machines for Regression (SVR); Jakarta Composite Index (JKSE); Stock Price Trend Prediction.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	LANDSAT 8 SATELLITE IMAGERY ANALYSIS FOR RICE PRODUCTION ESTIMATES (CASE STUDY : BOJONEGORO REGENCYS)
Author:	BANGUN MULJO SUKOJO , SALWA NABILAH , CEMPAKA ANANGGADIPA SWASTYASTU
Abstract:	Bojonegoro as the mainstay of rice producers in the province of East Java, have a mission to realize the dream become a national food basket. In 2012, Bulog's Bojonegoro Bulog to be the highest regional subdivisions throughout Indonesia. Seeing this potential, it is necessary to attempt to monitor the stability of agricultural production on a regular basis. By integrating the technology of remote sensing using Landsat satellite imagery 8 to identify a growth phase and forecasting models Autoregressive Integrated Moving Average (ARIMA) to predict the productivity of rice, are expected to provide a solution and ease of repeated and continuous monitoring with wide area coverage. Identify the growth phase carried out in 9 phases. Of the linear regression between growth stage rice plants with vegetation index values are used, the value of the coefficient of determination (R2) of 0.7229 for NDVI algorithms and algorithms MSAVI amounted to 0,879. Used reflectance values of wave band SWIR2 (1.57μm-1.65μm) to help distinguish each growth phase of the identification algorithm MSAVI where to phase 3, 4, 5 has a reflectance SWIR2 above 0.15, while the phases 7, 8, 9 has reflectance SWIR2 under 0.15. Forecasting process rice productivity obtained seasonal ARIMA (1,0,0) 3. So that it can be seen Forecast Figures (ARAM) rice productivity for subround III in 2013 amounted to 66.21 quintal per hectare. Results highest estimate of 169,595.385 tons for tillering phase (15 weeks ahead of harvest) and amounted 72246.878 tons for seedling phase (13-14 harvest next week). So it can be seen that when the study was conducted, Bojonegoro located in the growing season.
Keywords:	ARIMA, Phase Grown Rice, Landsat 8, Rice Productivity
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	A NEW PROPOSAL OF COMPRESSION METHOD FOR ENHANCING SHAMIR’S SECRET SHARING USING GAUSSIAN ELIMINATION BASED ON HYBRID TRANSFORM CODING (IWT-DCT)
Author:	SALAH S. AL-RAWI, AHMED S. FASIH, AHMED T. SADIQ
Abstract:	Based on the dictionary coding technique, a new lossless compression method (CBDM) is presented to compress the color image in sufficient manner without missing any information and give a good CR. Then we use this proposed method in the sharing scheme (which presented and explained in reference [3]) to enhancing the performance of the system by combining it with other methods in compression phase into the sharing system, which suggested to share a secret image into multiple shadow pictures utilizing a method for solving a system of linear equation by Gaussian Elimination and scheme of Shamir’s threshold. This sharing system gives a shadow image size for everyone user to be as smaller as possible [1/4.6*(v/k)] of the secret image (where v=2,3,.., according to k value; the minimum number of qualified shares to reconstruct the secret), and any number of shares less than k uncovers any data about the secret image. This technique is secure for an image sharing with excellent execution time and gives fantastic (PSNR) value rate [larger than 34 dB] as shown in result table using DPCM that keep an image quality good however much as could be expected.
Keywords:	Secret Image Sharing (SIS), Visual Secret (VS), RLC, DPCM, Gaussian Elimination (GE).
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	A REVIEW ON TOOLS AND TECHNIQUES FOR FAMILY TREE DATA VISUALIZATION
Author:	SITI FATIMAH BOKHARE, WAN MOHD NAZMEE WAN ZAINON
Abstract:	Visualization is an important and helpful ways to support the exploration of large data sets. The leading benefit of visualization is that it does not only provide graphical representation of data but also allows changing of form, omitting what is not required and browsing deeper to get further details. This paper reviews some of the previous research related to family tree (or sometimes known as genealogy) data visualization. It focuses on existing techniques and applications that are currently available to address family tree visualization issues. The content of this paper is divided into several sections such as visualization usability, family tree visualization, graph theory of kinship network and graph visualization. Visualization gives opportunity to approach huge network type of data and makes it easily comprehensible. In order to gain the full benefit of family tree data, a proper understanding about the current visualization tool or techniques that is used to represent these type of data in a fully interactive environment will be highly beneficial.
Keywords:	Data Visualization, Family Tree Visualization, Theory of Kinship Network, Social Network Visualization
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	IS / IT STRATEGY PLANNING IN PT GIFTCARD INDONESIA WITH WARD & PEPPARD FRAMEWORK
Author:	KEVIN BERSON S TURNIP, AHMAD NURUL FAJAR
Abstract:	This Study aims to analyze strategic plan for IT in the business GIFTCARD INDONESIA, which can provide guidance in managing IT resources to meet the needs of all business processes, supporting the development of business and improve efficiency. By using the IT Strategic Planning framework, with the input of external and internal business and IT environment. This study also use Critical Success Factor to measure current portfolio application and create future portfolio application. IT Strategic Plan that resulted from this research, defines the structure of the IT organization and the IT infrastructure to support the new development of IT services, which can be implemented in supporting the advancement of the business.
Keywords:	Ward and Peppard, IS Strategy, IT strategy, IS/IT Management Strategy, PT Giftcard Indonesia
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	LIGHTWEIGHT SECURE SCHEME FOR IOT-CLOUD CONVERGENCE BASED ON ELLIPTIC CURVE
Author:	AMRANI AYOUB, RAFALIA NAJAT, ABOUCHABAKA JAAFAR
Abstract:	The internet of things appears as a solution to connect people around the world. Its utility lies in the ability to connect objects and exchange information anywhere and everywhere. Many objects and services in different fields will be created, such as smart homes, e health, transport and logistics. The evolution of IoT, increases the number of connected object that generates a huge number of data. However, with the low capacity of storage and processing of these objects, there is a requirement to connect these objects to a large pool of resource like Cloud computing. The convergence between IoT and Cloud, will bring many services that will be of great benefit to humanity. However, this convergence will not see the day unless the communication between devices and the Cloud is secure. Most of the secure scheme proposed, that we will quote in the following sections, either have a weakness on their scheme, or are based on Hypertext Transfer Protocol (HTTP) which consumes bandwidth and which will exhaust the resources of the devices. Publish / Subscribe is a messaging pattern where publishers publishes messages to subscribers. The use of protocols based on pub/sub like Message Queuing Telemetry Transport (MQTT) is very essential when response time, lower battery, bandwidth and throughput usage are on the first place for future solutions. In this paper, a secure Elliptic Curve Cryptography (ECC) protocol using Publish / Subscribe lightweight protocol has been proposed for creating a secure tunnel between IoT devices and Cloud Computing, and that can allow a very fast communication also it's a light protocol that will not exhaust the resources of the IoT object. In fact, we use the AVISPA tool for a formal verification of our proposed protocol.
Keywords:	Security; Cloud Computing; Elliptic Curve Cryptography; Internet of Things; MQTT.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	MEASURING INFORMATION SECURITY AND CYBERSECURITY ON PRIVATE CLOUD COMPUTING
Author:	WENDY, WANG GUNAWAN
Abstract:	Information security is an essential topic that contributes the success of business operation nowadays. The urgency of applying effective information security can be seen in all business and non-profit entities. The article takes the case of university XYZ that uses private cloud computing as essential tools to support its business processes. The article examines the effective way of measuring the level of information security and CyberSecurity performance that focuses on private cloud use with its recommendations. The article applies the ISO 27001:2013 framework by involving all clauses in Annex A ISO 27001:2013 and COBIT5 for CyberSecurity, section Applying to CyberSecurity. Annex A ISO 27001:2013 and COBIT5 for CyberSecurity is used to measure the information security and CyberSecurity performance, respectively. The article uses a survey method to the employees in the IT division at University XYZ. The article examines the maturity level gap between current and expected results and provides necessary recommendation to improve current situation. The outcome of the article is expected to provide as a reference for information security application in higher education institutions.
Keywords:	Information Security, CyberSecurity, Private Cloud Computing, ISO 27001, COBIT 5.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	AN EMPIRICAL EXAMINATION OF CHARACTERISTICS OF MOBILE PAYMENT USERS IN INDONESIA
Author:	GUNAWAN WANG , NADIA MIRANDA PUTRI , ARIO CHRISTIANTO , DANNY HUTAMA W
Abstract:	The current use of mobile devices is a necessity for almost all people, especially in Indonesia. A total of more than 100 million mobile phones have been used by the Indonesian people and approximately 150 million cellular cards have been registered in Indonesia. This is an opportunity for entrepreneurs in the technology field to take advantage of this business opportunity to create applications that use mobile devices such as banking applications. In Indonesia, banking applications have existed since 2007 and continue to grow until now with almost the same features. After testing the questionnaire, it was found that innovativeness, reachability, compatibility, convinience affect perceived usefulness and perceived ease of use towards the intention of use
Keywords:	Mobile Payment, System Characteristics, Individual Differences, Mobile Payment Users
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	MODIFIED K-MEANS CLUSTERING MODEL IN MULTI STORE DELIVERY SERVICE
Author:	PURBA DARU KUSUMA
Abstract:	There are several delivery service problems in companies that have multiple stores in one city. These problems occur especially for companies that offer products that these products must be delivered to the customers’ location by using their own delivery service. For several companies, they distribute their stock in a single main warehouse and in their stores. In the other side, their delivery service fleet is also distributed in their main warehouse and in every store. This condition triggers inefficiency in stock and the delivery fleet. In this work, we propose the centralized shared delivery service model. As a centralized model, the delivery service is handled by the central management so that coordination in delivery process among vehicles can be more efficient. As a shared system, the vehicle is not dedicated for single store only so that the vehicle can deliver products that come from more than one store in a single trip. In warehouse management, we use single warehouse concept so that all purchased products from all stores will be delivered from the main warehouse. In this work, we propose modified k-means clustering model in managing the delivery process. By using clustering mechanism, each vehicle will deliver products that their destination location is near to each other. In this work, we propose two variants of the k-means clustering model. In the first variant, we combine the k-means clustering method with the round robin method. In the second variant, we combine the k-means clustering method with sequential vehicle creation method. There are research findings after we have done tests. The increasing of the city size makes all observed variables increase. This condition occurs in all models. The increasing of the maximum delivery distance does not affect the total delivery distance but makes the number of vehicles decrease and in the other side makes the delivery distance per vehicle increase. The increasing of the number of stores does not affect the total delivery distance. In the first model, the increasing of the number of stores makes the number of vehicles increase and the delivery distance per vehicle decrease. In the other models, the increasing of the number of stores does not affect the number of vehicles and the delivery distance per vehicle. The increasing of the number of destinations makes all observed variables increase.
Keywords:	Delivery Service, K-Means Clustering, Round Robin, Single Warehouse Multi Store.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	TRACKING VEHICLES IN URBAN SMART CITY BASED XILINX PLATFORM
Author:	INAAM RIKAN HASSAN, MOHAMMED ABDULRAHEEM FADHEL
Abstract:	Computer vision becomes one of the significant smart city applications due to the unbelievable growth in electronics, informatics, and communication fields. Since the smart city is directed by smart self-governing systems, A lot of algorithms have been released for achieving smart city requirements. These algorithms include methods for detecting text, faces, vehicles and moving objects. Then, by comparing their output with the ground-truth, the performance of these algorithms can be measured. This paper focusing on following (detect and track) the moving vehicles. Two different object detection algorithms have been tested, namely temporal difference algorithm and fixed background algorithm for a video of (120 x 160) pixels frame-size. The designed system was implemented based on FPGA board (Xilinx-ISE 14.6 XC3S700A), while the simulation was built by employing MATLAB. To stay away from the limitation of the FPGA board size, the Verilog code was invoked by utilizing the MATLAB platform.
Keywords:	Urban Smart City, Temporal Difference Algorithm, Fixed Background Algorithm, Xilinx
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	ARRHYTHMIA DETECTION BASED ON COMBINATION OF FREEMAN CHAIN CODE AND FIRST ORDER TEXTURE FEATURES
Author:	ZAMEN F. JABR, RANA H. HUSSAIN, SHAYMAA R. SALEH
Abstract:	This paper presents a novel method of detection and classification an Arrhythmia based on ECG chart using image processing techniques and neural network as classifier tool .The method consist of three major stage firstly preprocessing to prepare the ECG chart image, secondly features extraction stage represent by freeman chain code and first order features which are arranged in vector consist of 14 input each one hold one feature value, finally stage this vector of features entered to BPNN classifier to classify an Arrhythmia type. The system applied on dataset consists of 90 ECG chart images. Two different ratios of train-ing/testing groups which are (30% to 70%,50% to 50%) are applied to the classifiers. The higher system's accuracy in first ratios was100% for training group and 90.5% for testing group while higher system's accu-racy in second ratio was 100% for training group and 97.8% for testing group with time 31.6 second. The system achieved using Matlab.
Keywords:	ECG chart, Arrhythmia, Freeman chain code, First order features, Artificial neural network.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	ESTIMOTE-BASED LOCATION AWARENESS ON MOBILE DEVICES FOR VISUALLY IMPAIRED
Author:	GIVA ANDRIANA MUTIARA, GITA INDAH HAPSARI, PERIYADI, AGUS PRATONDO
Abstract:	The limitations vision that possessed by the visually impaired in interacting with their environment, causing them to have difficulties in doing traveling. But, along with the development of smartphone technology, the visually impaired people began using smartphones to help them engage in any activities. Estimote beacons are a small device that broadcast a Bluetooth signal that can be captured by a smartphone. This research contributions to provide the information to the visually impaired person in order to have easy use compatible with the smartphone since the Estimote beacons are used as a location awareness device to give the information about the surrounding environment. The systems were configured and programmed using android studio for indoor and outdoor locations. Based on the indoor result testing, it can be stated that the implementation of the Estimote beacon as a location awareness in indoor area, must be focused on the installation of the Estimote beacons. The installation must be set smoothly and the broadcast signal should not be overlap. The outdoor result testing indicates that the Estimote beacon signal is stable to receive on the smartphone at a distance 0 – 31.64 meters, begin unstable at a distance of 38.61 meter and become undetected at a distance of 79.79 meters.
Keywords:	Estimote Beacons, Visually Impaired, Mobile Devices, Location Awareness, Bluetooth
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	A ZONE TIME BASED VEHICULAR AD-HOC CLOUD NETWORK SERVICES MANAGEMENT SYSTEM
Author:	FIRAS M. KHALAF, FOAD SALEM MUBAREK
Abstract:	Vehicular Ad-hoc Networks (VANET) is a network infrastructure that provides the communications among vehicles and have many Characteristics including reducing congestion, minimizing accidents, reducing fuel consumptions etc. The concept of cloud computing basically relies on using of the idle vehicles resources and provision it for other vehicles either for free, or a user only pay for services used (e.g. memory, processing time and bandwidth etc.). Exploiting the added benefits of Cloud Computing and merging it with VANET is an advance step that requires a special designs and solutions to accommodate VANETs characteristics with the cloud concept requirements. The main problem for vehicular cloud networks is high mobility and difficult predictability in urban area, making it difficult to implement in connection and data processing, because continuous interruptions in communication lead to loss data. Therefore, in this paper, we proposed a system to manage some vehicular cloud network services to ensure all these services completed without dropped or disconnected during execution time. We adopt the concept of dynamic vehicles, which will satisfy the needs of the users. Dynamic vehicle is evaluated with respect to spending time within the zone, this time is calculated in several ways and in most cases the best vehicles participating in the service are selected depending on zone time. The proposed system is compared with the normal system. For accurate comparison, two important metrics are selected, i.e. throughput and packet delivery ratio to evaluate the two systems. The results proved that our system is more reliable and efficient than the normal system in different scenarios.
Keywords:	NS2, VANET, VCC, VCC services, Zone time.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	A SYSTEMATIC REVIEW ON DISTRIBUTED DATABASES SYSTEMS AND THEIR TECHNIQUES
Author:	KATEMBO KITUTA EZÉCHIEL, SHRI KANT, RUCHI AGARWAL
Abstract:	Distributed Databases Systems (DDBS) are a set of logically networked computer databases, managed by different sites and appearing to the user as a single database. This paper proposes a systematic review on distributed databases systems based on respectively three distribution strategies: Data fragmentation, Data allocation and Data replication. Some problems encountered when designing and using these strategies have been pointing out. Data fragmentation involves join optimization problem since when a query has to combine more than one fragment stored on different sites. This produces the high time response. Heuristic approaches have been examined to solve this problem as it is known as a NP-Hard problem. Data Allocation is also another particular problem which involves finding the optimal distribution of fragments to Sites. This has already been proved to be a NP-complete Problem. The review of some heuristics methods as solutions has been conducted. Finally, Data replication, with its famous synchronization algorithm, which is the unique strategy to manage exchange of data between databases in DDBS, has been studied. Thus, following problems have retained our attention: serialization of update transactions, reconciliation of updates, update of unavailable replicas in Eager or synchronous replication, sites autonomy and the independence of synchronization algorithm. Therefore, this has been our motivation to propose an effective approach for synchronization of distributed databases over a decentralized Peer-to-Peer (P2P) architecture.
Keywords:	Distributed Database, Data Fragmentation, Data Allocation, Data Replication, Data Synchronization, Peer-to-Peer (P2P) architecture.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	A REUSABLE BALINESE CALENDAR ENGINE
Author:	I MADE DWI MARTADI PUTRA, I MADE SUKARSA, DWI PUTRA GITHA, I WAYAN KANDI WIJAYA
Abstract:	Most of the Balinese digital calendar development begins with creating an engine, which becomes an inefficient development process. In this study, a reusable engine of the Balinese calendar was designed. This study used DSRM methodology to identify problems and produce an engine as the solution. The engine was a combination of Python and PLSQL, which makes it flexible to be customized and embedded. The engine has several algorithms to calculate Balinese calendars attributes (wuku, dewa, wewaran from ekawara to dasawara, ingkel, jejepan, lintang, watek, urip or neptu, ekajala rsi, zodiak, pengalantaka, sasih and year of Saka Calendar, full moon or new moon) and adjusted with the Saka and Pawukon calendar system. The engine consists of a web service that served as data parser and a database to store the attributes. Results of the experiment showed that the engine was able to generate appropriate Balinese calendar attributes of one day up to one-month or one-year Gregorian calendar, compared to the other existing Balinese digital calendar.
Keywords:	Balinese Calendar, Engine, Python, Pawukon, Saka
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	EDM PREPROCESSING AND HYBRID FEATURE SELECTION FOR IMPROVING CLASSIFICATION ACCURACY
Author:	SAJA TAHA AHMED, PROF. DR. RAFAH SHIHAB AL-HAMDANI, DR. MUAYAD SADIK CROOCK
Abstract:	Educational Data Mining (EMD) is in charge of discovering useful information from educational datasets. In recent years, the data is mounting rapidly due to the ease access to the websites of e-learning intakes extraordinary enthusiasm from different colleges and instructive foundation. High dimensionality, irrelevant, redundant and noisy dataset can affect the knowledge discovery during the training phase in a bad way as well as degrading machine learning performance accuracy. All these factors often rise demand for dataset preparation, analysis, and feature selection. The fundamental aim of research is to enhance the precision of classification by information preprocessing and expel the unessential information without discarding any vital data by means of feature selection.This paper proposes EDM dataset preprocessing, and hybrid feature selection method by combining filter and wrappers techniques. In the filter-based feature selection, the statistical analysis is based on the Pearson correlation and information gain. In the wrapper method, the accuracy of the feature subset is tested using a neural network as a baseline algorithm. The obtained results show an enhancement in performance accuracy toward selecting minimum feature subset with high predictive power over using all features.
Keywords:	Educational Data Mining, Hybrid Feature Selection, Neural Network, Data Preprocessing, Accuracy.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	DEVELOPED CRIME LOCATION PREDICTION USING LATENT MARKOV MODEL
Author:	REEM RAZZAQ ABDUL HUSSEIN, Dr.MUAYAD SADIK CROOCK, Dr SALIH MAHDI AL- QARAAWI
Abstract:	Latent models, called hidden Markov models (HMMs), are types of algorithms that have been designed to detect crime activities by obtaining a sequence of observations from hidden values. The main contribution of these types of models is the fusion of coupled parameters with two types of HMM algorithms. The first algorithm is the Viterbi algorithm, which is commonly used to find the most probable path, and the accuracy of this algorithm is equal to 80%. The second algorithm is the Baum–Welch algorithm, which has been used to produce robust and accurate models. The modeling results normally focus on evaluating relative mean square errors in log likelihoods, transition matrices, and emission matrices for comparison of modeling performance based on different tolerance values. Previous reports have shown that the modified Baum–Welch algorithm can achieve good results for decreasing tolerance values. The goal of this Work is to generate a compact model that deals with ternary parameters rather than binary parameters by determining the sequential relation of past crime types and locations. Geographic locations can improve the HMM visualization in MATLAB. Moreover, crime levels and their most probable locations are predicted. The obtained results prove the goal of this work.
Keywords:	Vine Copula, Hidden Markov Models, Viterbi Algorithm, Baum Welch Algorithm, Measurement Errors
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	WIRELESS SENSOR NETWORK FOR ILLEGAL LOGGING APPLICATION: A SYSTEMATIC LITERATURE REVIEW
Author:	GIVA ANDRIANA MUTIARA, NANNA SURYANA, OTHMAN BIN MOHD
Abstract:	Wireless Sensor Networks (WSN) is a technology available for outdoor area application. The characteristic of illegal logging application is suitable to apply WSN-based application. Because the illegal logging application is implemented in a wide range area, supervised the environment forest, and consists of hundreds of sensor nodes. This paper aims to review and summarize as systematically the contribution of WSN Technology in illegal logging area research as a long-range network application especially in detection and identification method, timber tracking methods, data exchange, and transmission method. A Systematic Literature Review (SLR) were outlined in this paper as a standard methodology of predefined research strategy to solve the problems by tracing the previous research. By defining the Research Question (RQ) to guidelines the SLR process and inserting the search string in the database reputation journal, the previous research can be configured. There are 42 previous studies applied WSN to used it in the illegal logging application. The result stated that WSN has biggest contributions since 33% researcher using WSN to tracking application, 41% use the WSN as a data exchange in their system, and 48% used WSN as data transmission between sensor nodes. This paper is expected to give a contribution to the researcher who wants to build the system to tackle illegal logging since the illegal logging has been hot issues in the world.
Keywords:	Wireless Sensor Network, Illegal Logging, Long-Range WSN, Data Exchange
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	AN EXPERT SYSTEM FOR THE DESIGN AND CLASSIFICATION OF ISLAMIC GEOMETRIC PATTERNS USING COMPUTER GRAPHICS
Author:	AHMAD M. ALJAMALI, MOHAMED FAKIR
Abstract:	Islamic geometric patterns (IGP) have often presented an enduring historic reverence to those who have strived to present a sensible classification of these structures. They are complex, beautiful structures, which combine elements of art, with elements of mathematics, especially relating to geometric patterns. This article proposes an innovative approach to classify and design IGP using computer aided technologies. The researcher surveyed many existing methodologies regarding the classification of IGP like 7-frieze patterns, 17-wallpaper patterns theories and design approaches based on principles of classical gridding systems. The proposed methodology suggests a system which can design classification of a pattern (collection of unit patterns) and classification of a design (a collection of grids and geometric attributes). The Classification of a pattern consists of repeating the unit base pattern by isometric transformations (translation, mirroring, rotation and glide reflections) to generate a pattern that can be classified as 7-frieze patterns or the 17-wallpaper patterns. Classification of a design involves the normalization of the grids and geometries. In this paper, the researcher also presented an argument that those pattern theories are purely base models. The researcher has been successful in developing a new method of classification rightly validated by geometric and scientific analysis. The researcher succeeded in developing software that draws the grids of any IGP star/rosette design and displays its classification instantly. So, the approach can be considered as a measurable method of classification for any given Islamic geometric design. The software is enabled to detect and classify the IGP star/rosette sub-motif grid from its gridding system of classification which will allow the user to explore and design the sub-motif pattern, motif pattern, unit pattern and finally the pattern in x-y direction.
Keywords:	IGP, Pattern Theories, Star/Rosette Classification and Design
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	A NEW HUMAN FACE AUTHENTICATION TECHNIQUE BASED ON MEDIAN-ORIENTED PARTICLE SWARM OPTIMIZATION AND SUPPORT VECTOR MACHINE
Author:	HAIDAR ABDUL WAHAB HABEEB, HASANAIN ALI HUSSEIN , MOHAMMED HASAN ABDULAMEER
Abstract:	One of the main complications in face recognition applications, it is non-linearity. Support vector machine is one of the most significant classification techniques in last a few years which can determine the global finest solutions in many complicated problems with minor number of training samples. However, selecting the ideal parameters for SVM is a major challenge especially when SVM used in face recognition applications. Numerous methodologies are utilized to manage this issue, for example, PSO, OPSO, AAPSO and AOPSO. Nevertheless, there is a room of upgrades still exists respects this sort of enhancement process. Recently, an enhanced version of PSO has been introduced called Median-oriented PSO (MPSO) with a few favorable benefits: simple to execute, insensitive to variable dimension, and no requirement for any calculation particular parameters. In this study, a new face recognition technique based on a combination of Median-oriented particle swarm optimization and support vector machine is proposed. The proposed scheme is called (MPSO-SVM) and we introduced it as a face recognition technique. In MPSO-SVM, MPSO is utilized to discover the optimal parameters of SVM. Two human face datasets: SCface dataset and CASIAV5 face dataset are used as a part of the experimentation to assess the proposed MPSO-SVM in recognizing the human faces. The proposed technique is compared with PSO-SVM, OPSO-SVM and AAPSO-SVM and the results showed that the proposed MPSO-SVM has higher face recognition accuracy than the other approaches.
Keywords:	Face recognition, SVM, PSO, Optimization, MPSO
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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Title:	FRACTAL METHOD FOR NON-METAMORPHIC ANIMATION USING ITERATED FUNCTION SYSTEM ALGORITHM
Author:	DEWI ROSMALA, TEDJO DARMANTO, DELFIAN PUTRA CALIBRA
Abstract:	In this research, the Fractal method is implemented for Non-Metamorphic animation using Iterated Function System Algorithm. This study aims to find out how implementation process of animation created by a fractal method with IFS algorithm. The method used in this design is the drawing and animating stage. The fractal method is used at the stage of drawing; therefore reading and calculation of the input of data values of the IFS codes are done. The coordinate points generated from the IFS code consisting of the dimensional coefficient relative to the frame and the values of the points so that the affine coefficient is obtained through calculating the IFS algorithm matrix and forming a fractal object. In the animating stage, the object that has been obtained from the drawing stage is processed by non-metamorphic animation process through calculating the number of locations and the duration between the points of the object location so that the object is seen moving from the point of the initial location to the point of the final location. Based on the results of the fractal method for testing IFS, it can be applied to the animation using an object of fractal which the best results requires a sufficient iteration value of 10000 times to form a full fractal object and the iteration process does not last long, and as well as the off set value search testing performed on various iteration tests, having an offset value average by 0.11735%.
Keywords:	Affine Coefficient, Drawing, Fractal, IFS Code, Non-Metamorphic Animation
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2019 -- Vol. 97. No. 01 -- 2019
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