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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
March 2017 | Vol. 95 No.5

Title:	WSN BASED SENSING MODEL FOR SMART CROWD MOVEMENT WITH IDENTIFICATION: AN EXTENDED STUDY
Author:	NAEEM A. NAWAZ, AHMAD WAQAS, ZULKEFLI MUHAMMED YUSOF, ABDUL WAHEED MAHESAR, ASADULLAH SHAH
Abstract:	With the advancement of IT and increase in world population rate, Crowd Management (CM) has become a subject undergoing intense study among researchers. Technology provides fast and easily available means of transport and, up-to-date information access to the people that cause crowd at public places. This imposes a big challenge for crowd safety and security at public places such as airports, railway stations and check points. For example, crowd of pilgrims during Hajj and Ummrah while crossing the borders of Makkah, Kingdom of Saudi Arabia. To minimize the risk of such crowd safety and security, identification and verification of people is necessary which caused unwanted increment in processing time. It is observed that managing crowd during specific time period (Hajj and Ummrah) with identification and verification became challenge. At present, many advanced technologies such as Internet of Things (IoT) are being used to solve the crowed management problem with minimal processing time. In this paper, we have presented a Wireless Sensor Network (WSN) based conceptual model for smart crowd movement with optimal verification of cluster members (CMs) and leads to minimal processing time for people identification. This handles the crowd by forming groups and provides proactive support to handle them in organized manner. As a result, crowd can be managed to move safely from one place to another with group identification. By controlling the drop rate or unverified CMs rate, the performance of the smart movement can be increased. This decrease or control of the drop rate will also minimize the processing time and move the crowd in smart way.
Keywords:	WSN, Crowd Management, Smart Movement, IoT, CMs
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	MODELS AND TOOLS FOR AUTOMATIZATION OF THE LINGUISTIC RESEARCH
Author:	LAKHNO V.A., NIKOLAIEVSKYI O.Y., SKLIARENKO E.V., LYTVYNENKO L.O.
Abstract:	This article is focused on solving problem of building tools for automatization of linguistic research, particular for the morphological and semantical multilingual analysis. The results obtained are of great importance for the development of linguistic research. Developed a procedure for the automatic creation of dictionary quasi-inflections of wordforms as linguistic components providing automatic morphological analysis. Developed a system of the automatic workplace AWP PARADIGM that allows to automate the process of building the components of lingware for automatic morphological analysis in machine translation system, as well as to provide functional completeness. Developed system of AWP EXPERT, which allows you to automate the process of building the components of lingware for automatic premorphemic analysis and definition of the semantic information in machine translation system (SMT). The developed software product support English, Russian and Ukrainian languages. It is proved that the proposed method of encoding lexical-grammar information and approach to automatic morphological analysis using quasi-inflections has significant advantages in comparison with existing methods.
Keywords:	Linguistic Information; Natural Language Processing; The Data Processing System; Quasi-Inflections; Automation Of Morphological Data Processing; Semantic Information Encoding.
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	A NEW METHOD OF FUZZY PN SYSTEM TO MODEL OF AIRCRAFT FLIGHTS THROUGH DIFFERENT TERRAIN
Author:	RAED I. HAMED
Abstract:	A novel approach of fuzzy Petri net (FPN) is presented to aircraft terrain following (TF) through aircraft flights. The FPN controller system as presented in this paper determine where the aircraft needs to modification its altitude. Depending on the concepts of real-time system applications the decision-maker (i.e. Terrain-Following Radar (TFR)) will be promising notwithstanding for hard terrains in expression of shape and features. The implementation process for terrain following collaborative design is fuzzily dedicated by the algorithm of FPN. The FPN approach employs special connections among existing Slope, Height, and Spacing of the terrain with aircraft flights velocity overhead the ground to construct appropriate FPN rules. Settling on knowledge implies a basic decision making over passing across or over a terrain. Slope angle of terrain (Sl1 and Sl2), spacing is the ratio of the largest and smallest peak-to-peak terrain (Sp1 and Sp2) and height of vehicle (He1 and He2), and the main system is the velocity (Sl, He and Sp) is output all the inputs and outputs are linguistic variables. The case study of aircraft flights show the effectiveness of the FPN approach as compared to other existing approaches. Based on the FPN approach the results illustrate a perfect chasing while using four models with a number of fuzzy rules equal to 200 rules will causes an optimal results. While a suitable height of an aircraft flights above the ground is substantial this given us good motivation to develop a new approach in maintaining the height of aircraft. Finally, the presented method is applied with low-level flight to be authenticity be applied for such applications.
Keywords:	Aircraft Terrain Following Flights, Fuzzy System, Terrain Following, Fuzzy Petri Net, Decision Making.
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	PRESENTING STRUCTURED EVALUATION FRAMEWORK TOWARDS E-LEARNING ADAPTION IN JORDANIAN UNIVERSITIES – THE USE OF CBAM-SOC FRAMEWORK
Author:	NASIM MATAR
Abstract:	This paper presents a continuous work related to defining the concern of adopting e-learning system by faculty members in Jordanian universities. The previous research (Evaluating E-Learning System Use by CBAM-Stages of Concern Methodology in Jordanian Universities, 2015) has managed to outline the stages of concern using CBAM framework for faculty members in 12 Jordanian Universities with a total participation of 138-faculty members. After an engagement with e-learning systems for almost a year, this research continued the investigation for the use of CBAM-SoC in order to define and measure the change in stages of concern with respect to the defined challenges of adapting e-learning practices in the Jordanian higher educational system. Jordanian Universities can adopt the output of this research in order to provide an evaluation strategy for measuring the concern towards e-learning, which will reflect positively on universities practices and policies towards e-learning.
Keywords:	CBAM, Evaluation, E-learning, Jordanian Universities, Stages of Concern
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	TEXT INTERPRETATION USING A MODIFIED PROCESS OF THE ONTOLOGY AND SPARSE CLUSTERING
Author:	IONIA VERITAWATI, ITO WASITO, T. BASARUDDIN
Abstract:	Many texts in online media consist of various information that need an appropriate way to extract and interpret them clearly. For better understanding of the content in the text collected from any online media, a proper methodology for the interpretation of useful information must be developed. This study offers a modified process of the text interpretation consisting of four stages with a preliminary stage of the text preprocessing and key phrase extraction using the annotated suffix tree (AST) technique and secondary stage of developing sparse clustering method named as iterative scaling of fuzzy additive spectral clustering (is-FADDIS) combined with a sharpening technique for grouping key phrases from the text. An ontology as the “knowledge base” was developed combining with is-FADDIS method as the third stage. Interpretation from the input text was carried out as the final stage of the text interpretation. The performances of is-FADDIS clustering combined with sharpening technique as high as 96 and 78% were verified for some modeled sparse data and two specific real sparse data from two corpus, respectively, and could be better when comparing with Nonnegative Matrices Factorization (NMF) and K-means. The text interpretation of using the ontology gives a clear graph visualization on the relationship among key phrases even though it has a low correlation with content of the text. The result findings of this study potentially help us in ensuring an automatic process to be used for the interpretation of any topic information collected from online media.
Keywords:	Annotated Suffix Tree, is-FADDIS, Ontology, Sparse Clustering, Text Interpretation
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	DESIGN OF AXIAL FLUX BRUSHLESS DC MOTOR BASED ON 3D FINITE ELEMENT METHOD FOR UNMANNED ELECTRIC VEHICLE APPLICATIONS
Author:	H. SURYOATMOJO, R. MARDIYANTO, G. B. A. JANARDANA, M. ASHARI
Abstract:	The research in order to find an optimal, efficient, and reliable design of brushless dc motor increase significantly. The compact design with high power to weight ratio will support the application of motor drive in electric vehicle. This paper presents the design and analysis of axial flux Brushless DC motor. To analyze the electrical parameters of brushless dc motor such as torque, efficiency, looses, and electric field strength which is modeled and simulated through the Finite Element Analysis Method (FEM). The proposed design is proved with the simulation software with the product of axial flux brushless dc motor with the size of 220 cm using 12 stator slots and 10 rotor poles, generates output power about 27 kW, with a speed of 2388 RPM and torque 109 Nm. This motor has a DC voltage rating of 400 V and the input current to the motor of 101 A.
Keywords:	Axial Flux BLDC Motor, Finite Element Method
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	WAVELET DATA PROCESSING IN THE PROBLEMS OF ALLOCATION IN RECOVERY WELL LOGGING
Author:	ABDIAKHMETOVA Z.M
Abstract:	Methods of Geophysical Research (GRM) are widely used in order to construct valid models of oil and gas fields. The essence of these methods is the process of logging sounding, that means the following: in the oil well falls instrument for measuring various characteristic values, then these findings are processed. One of the commonly used methods are the method of high-frequency induction logging isoparametric sounding (HILIS) and the method of lateral logging sounding (LLS). General interpretation of the scheme used in these systems, as follows: in the first stage well logs analyzed, the data is processed and allocated beds - areas with homogeneous characteristics of the signal. Then, in the resulting layers are determined value of the electric resistance. These models are then visualized in the GUI. To ensure proper construction of models and acceptable computing speed is a very important task of the initial treatment, as in the results of measurements is often present apparatus and geological noise, complicating analysis. This noise is a high frequency signal fluctuations, which often tend to smooth out the filtration transformation curve. In the same class of problems includes the correct alignment of the geological formations. Correctness is defined geo electric theory and empirical experiences geophysics specialists who often produce alignment layers boundaries manually, based on the image of the curves in the diagram. The paper was presented to data processing algorithm based on the wavelet transform signal. Main research questions are define digital signal of well and processing methods for considered signals. This work is aimed at optimizing the transfer of digital signals in an oil well logging. Prior to that, the process was carried out by other methods, but the method presented me wavelet applied to this problem for the first time.The basic idea was to minimize the sent data - signals for subsequent processing. These results indicate that the proposed algorithm ensures real efficiency in processing signals for the primary task allocation layers [1].
Keywords:	Wavelet Processing, Well Logging, HILIS, GRM, Transformation, Horizontally-Layered Medium
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	WASTE COLLECTION VEHICLE ROUTING PROBLEM BENCHMARK DATASETS AND CASE STUDIES: A REVIEW
Author:	ZANARIAH IDRUS, KU RUHANA KU-MAHAMUD, AIDA MAUZIAH BENJAMIN
Abstract:	Waste collection vehicle routing problem (WCVRP) is one of the most studied areas and has received high interest from the modern society today. This corresponds to the cost efficiency, population growth, and environmental concerns. The growth of the WCVRP awareness is the result of continuous supports from government and private organizations. This paper reviews several established benchmark datasets and successful real-life case studies. Respectively billions of dollars have been saved from the operational costs. The current trend for benchmark datasets presented and case studies are accordingly grouped by countries and continents, thus revealing the need for WCVRP. Investigation on objectives, constraints and algorithms are also discussed. Results showed the increased interest of researchers in using benchmark datasets as well as the case studies and some of the constraints that should be considered in WCVRP. It also suggested that environmental or quality of service issues can be integrated into the common objectives of minimizing cost and distance travelled. Methods used in WCVRP are exact methods and approximate methods. Results showed that approximate methods have the capability in providing good results for large-scale data. Conclusively, this study analyzes the gap and provides recommendations for researches.
Keywords:	Waste Management, Approximate & Exact Algorithms, Benchmark Datasets, Vehicle Routing Problem
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	FINGERPRINT BIOMETRIC IDENTIFICATION WITH GEOMETRIC MOMENT FEATURES
Author:	BAYAN OMAR MOHAMMED, ZANA AZEEZ KAKARASH, SHAKAR HUSSEIN SALIH
Abstract:	The use of biometric in recognizing individuals is now a phenomenon in today’s world. As there is security need within wide array of applications including transactions security across computer networks, PIN (personal identification number) replacement in retail business and banking, high-security wireless access, televoting as well as restricted areas’ admission, biometric is more and more a subject of interest. The traditional mode of personal identification verification is grounded on possession (ID card) or knowledge (secret code) but ID cards could be stolen or lost while codes could be forgotten. These problems could allow opportunity to criminals to steal someone’s identity. As such, using features that are uniquely belonging to a person would decrease fraud possibility. Also, in many situations, the use of biometry is convenience. This is because biometry can take over the use of codes, keys and cards. Also, fingerprint is regarded as biometric that is most practical. With regard to performance, applications of pattern recognition mostly rely on extraction of feature and classification or learning scheme, the extraction and selection of meaningful features. This generates major problem in identification of fingerprint; how to attain features in numerous fingerprint styles so that the right individual could be reflected. Geometric Moments is proposed by this paper for feature extraction with identification of fingerprints and analyze its performance.
Keywords:	Biometric, Global Feature, Fingerprint, Identification, Individuality, Geometric Moment Invariant, Uniqueness Presentation
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	EARLY DETECTION OF ALTERNARIA BLIGHT DISEASE IN BITTER GOURD LEAVES USING IMAGE PROCESSING
Author:	SAM ABRAHAM, T. S BALASUBRAMANIAN, D. DHANASEKARAN
Abstract:	Detection of Alternaria blight disease in bitter gourd leaf can be done early by applying Image Processing Techniques. The growth of the plant is categorized into five stages. Images are acquired separately for healthy, diseased and test leaves. Histogram analysis is done at each stages for the identification of healthy and diseased leaves. The images are pre-processed and the colour characteristics are analysed using RGB, HSV and HSI model. The values of healthy and diseased leaves at each stages are stored. These values are used for checking with value of test leaves for the early detection of disease in the leaves of bitter gourd plant. This extensive experiment helps the early detection of the disease. Neural network pattern recognition tool is used to find the accuracy of results obtained for healthy and disease leaves at each stages.
Keywords:	RGB, HSV, HSI, Neural network
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	HARMONIC LOAD IDENTIFICATION BASED ON FAST FOURIER TRANSFORM AND LEVENBERG MARQUARDT BACKPROPAGATION
Author:	INDHANA SUDIHARTO, DIMAS OKKY ANGGRIAWAN, ANANG TJAHJONO
Abstract:	One of the most important power quality problems in power system is harmonic distortion. Due to an increase of non-linear loads as harmonic sources, the identification of harmonic loads becomes important concern in the power system. Therefore, this paper proposes a Levenberg Marquardt Backpropagation (LMBP) Neural Network to identification of harmonic load. Data of harmonic load are gathered from a low cost microcontroller with Fast Fourier Transform (FFT) method as analysis of the input current waveform in the presence of multiple devices to obtain the harmonic value. LMBP is trained using harmonic as input with combination of 14 different types of load. The performance of LMBP is implemented with several of the different training and test data to validate the accuracy and efficiency of the proposed algorithm. The results show that the proposed algorithm has high accuracy to determine the presence of loads based on their harmonic signature.
Keywords:	Levenberg-Marquardt Backpropagation (LMBP), Harmonic, Fast Fourier Transform (FFT), load identification, low cost microcontroller
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	A MATLAB-BASED PROGRAM FOR THE PARAMETRIC STUDY OF DISTILLATION COLUMN IN A BINARY MIXTURE SYSTEM: EFFECT OF REFLUX RATIO, FEED COMPOSITION AND FEED QUALITY
Author:	LUIS F. ARRIETA, LUIS G. OBREGON, GUILLERMO E. VALENCIA
Abstract:	This paper presents the application of a GUI developed in Matlab® for a binary distillation column simulation, where the diameter, height, tray number, feed tray location and the heat flux in the condenser and reboiler were calculated for a given operational condition set by the user, like the feed condition, distillation and bottom molar fraction, reflux ratio, top, bottom and subcooling temperature of distillate. The program, called DTMB-UA v1.0 (Design of a distillation Tower for Binary Mixture-Universidad del Atlántico), uses the combination of material and energy balances, experimental equations of phase equilibrium and constant relative volatility, reported in the literature. The general procedure to calculate the outputs in the program start by selecting the type of phase equilibrium curve calculation, between the constant volatility and the experimental data; in the case of constant volatility, the vapor and liquid mean temperature, mean tower pressure and densities are estimated based on a set of empirical equations for the column diameter, column height, theoretical tray numbers, and energy requirement on the condenser and reboiler. The same steps are applied when using experimental data for the equilibrium curve, consisting in inputs of temperatures and molar fractions of the component with higher volatility in the liquid and the vapor phase. The last step is to select a binary mixture from the given by the software. The material balance is represented as the operation lines on the x-y diagram according to the McCabe-Thiele method. It was found the exact composition of the bottom molar fraction, the effect of reflux ratio on the distillation molar fraction under different tray numbers and the effect of feed quality variation on condenser and reboiler duties under different reflux ratio.
Keywords:	Distillation column, Reflux ratio, Distillation feed composition, Graphical user interface, Engineering education.
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	THE ArcVIEW AND GeoDa APPLICATION IN OPTIMIZATION OF SPATIAL REGRESSION ESTIMATE
Author:	SCOLASTIKA MARIANI, WARDONO, MASRUKAN , FATKHUROKHMAN FAUZI
Abstract:	ArcView is a geographic information system software product produced by and GeoDa is a software tool developed to implement techniques for exploratory spatial data to the analysis (ESDA) on a lattice of data (points and polygons). There were spatial diversity between the regions on the human development index (HDI) variable. This research would look for the best spatial regression model for the HDI in Central Java, Indonesia. Testing spatial effects were done by looking at the value Moran`s I, there were five variables with positive autocorrelation, and a negative autocorrelation variable is unemployment. The next test with the test Lagrange Multiplier (LM), only Lagrange Multiplier (error) which is included in the admission criteria, then the regression model used is the Spatial Error Model (SEM). In this study used two kinds of weighting matrix, i.e. rock contiguity and queen contiguity. The next step research was comparing the value of R-Square and the value of Akaike Info Criterion (AIC) and then obtained best regression model i.e.Spatial Error Model (SEM) with weighting rock contiguity with the value of R-Square is 99.8119 % and the smallest Akaike Info Criterion (AIC) was 4.6362. The spatial regression equation was : HDI=4.5565+0.4176 LE+0.8445 HPS+1.4262 ALS+0.0011 PCS with HDI : human development index, LE : life expectancy, HPS : hope and period school, ALS : average length of school, PCS : per capita spending..
Keywords:	Arcview, Geoda, Optimization, Spatial Regression Estimate
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	TRUST MODEL FOR EFFECTIVE CLOUD COMPUTING USAGE: A QUANTITATIVE STUDY
Author:	HARFOUSHI, OSAMA
Abstract:	Cloud computing is becoming more and more important for different types of organizations. However, one of the main challenges that face Cloud Computing is Trust. This study developed a User Trust Model to increase the usage of Cloud Computing. A self-administered questionnaire was distributed online to selected cloud user’s groups and communities. The items used in this study model are Availability, Data location, Data protection and Confidentiality. The results obtained from the data analysis proved that the presence of availability, confidentiality, data location, and data protection affects users’ trust levels of cloud services and in turn their willingness to move into the clod in a positive way.
Keywords:	Cloud Computing, User Trust Model, Availability, Confidentiallity, Data Location, Data Protection
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	SCTTM – SECURE CLUSTER BASED TRUSTWORTHY TOPOLOGY MANAGEMENT SCHEME FOR WIRELESS SENSOR NETWORKS
Author:	T.SENTHIL, DR. B. KANNAPIRAN
Abstract:	Lifetime enhancement of Wireless Sensor Networks (WSN) is the hottest research topic. As the lifeblood of network is the battery backup of sensor nodes, it is necessary to conserve the available energy. Security is another important requirement of WSN. This work addresses the two issues such as security and energy conservation by presenting a Secure Cluster based Trustworthy Topology Management (SCTTM) scheme. The target of the work is achieved by partitioning the network area into several grids, which is populated by equal number of sensor nodes. The BS reaches each and every grid for eagle eye observation and computes the trust point. The cluster leader and the working nodes are selected by taking the trust point into account. The BS is vigilant against selective forwarding, replay, snooze and impersonation attacks. Finally, the performance of SCTTM is analysed by varying working nodes to check the network lifetime and energy consumption pattern. Additionally, the attack detection rate is also measured. The experimental results prove the efficacy of SCTTM.
Keywords:	Lifetime enhancement, WSN, Topology management, Security.
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	SIMPLE IMAGE ENCRYPTION FOR MOBILE PHONES
Author:	MANAL ABDULLAH AL-SHMRANI, ABDUL RAOUF KHAN
Abstract:	People generally save pictures in mobile phones or transmit to one another using several mobile applications. However, privacy of such images and pictures are of some importance to many people. Generally, for common people the threat to the privacy of the pictures may be very low; however, people prefer to have a certain level of security. In this paper, a simple encryption technique, based on two-dimensional cellular automata has been proposed. The local neighborhood pixel values of an image are used as part of the encryption key to encrypt the image, based on certain cellular automata rules. The quality of encryption technique and Peak Signal to Noise Ratio has been calculated and reported in this paper. A hardware architecture has been proposed to implement the scheme in mobile phones.
Keywords:	Image Encryption, Cellular Automata, Two Dimensional CA, Mobile Phone security , Privacy
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	BAG-OF-SHAPES DESCRIPTOR USING SHAPE ASSOCIATION BASED ON FREEMAN CHAIN CODE
Author:	EMA RACHMAWATI, IPING SUPRIANA, MASAYU L. KHODRA
Abstract:	A novel bag-of-shapes descriptor constructed using shape association is presented in this paper. We believe that shape association has significant impact in constructing better shape representation of object, for the purpose of object recognition. In our proposed model, shape association is represented in the set of representative prototypes, which is generated through K-medoids clustering based on association likelihoods. The association likelihood is obtained through pairwise distance computation using Needleman-Wunsch algorithm, as the shape is represented in sequence of code of Freeman Chain Code. We evaluate our method on a set of 32 fruit subcategories captured in multi viewpoint. We show that our approach can reliably classify the shape of multi-class fruit with average accuracy of 82.96 % using nearest neighbor classifier.
Keywords:	Bag-of-Shapes, Freeman Chain Code, Shape Association, K-medoids clustering, Needleman-Wunsch Algorithm, Nearest Neighbor Classifier
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	DWT BASED OFDM WITH INDEX MODULATION FOR PERFORMANCE ENHANCEMENT IN THE PRESENCE OF CFO
Author:	ASMA BOUHLEL, ANIS SAKLY, SALAMA IKKI
Abstract:	Inspired by the high spectral efficiency improvement of the Spatial Modulation (SM), Orthogonal Frequency Division Multiplexing with Index Modulation (OFDM-IM) was recently proposed and expected to be one of the key technologies of 5G systems. This novel transmission technique incorporates the index of active subcarriers to convey additional information. Similar to conventional OFDM, Carrier Frequency Offset (CFO) is considered as a dominant performance degrading cause of OFDM-IM system. In this paper, Discrete Wavelet Transform (DWT) based OFDM-IM is announced to improve the performance of the conventional OFDM-IM affected by CFO. To this purpose, DWT based OFDM-IM performance in terms of Bit Error Rate (BER) is compared to the original OFDM-IM based on Fast Fourier Transform (FFT) in the presence of CFO. Simulation results are provided to prove the performance enhancement of our proposed system over Rayleigh fading channel.
Keywords:	Orthogonal Frequency Division Multiplexing with Index Modulation, Carrier Frequency Offset, Discrete Wavelet Transform, Bit Error Rate.
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	SLIDING MODE OBSERVER FOR A CLASS OF BIOCHEMICAL PROCESS
Author:	AMEL BARHOUMI, TAOUFIK LADHARI, SALIM HADJ SAID, FAOUZI M’SAHLI
Abstract:	In this paper, a design of Sliding Mode Observer (SMO) of a class of biochemical processes is proposed. Indeed, nonlinear observers for the estimation of the substances are presented and the estimation of non-measured states in waste water treatment process is addressed. The proposed observers are very successful in accurately estimating states variables. Specifically, sliding mode observer has been investigated for this class of nonlinear systems. Moreover, they are very easy to implement and to calibrate in order to estimate non measurable state. The sliding mode observer is compared with High Gain Observer (HGO) and Extended Kalman Filter (EKF). The performance of the sliding mode observer is illustrated through numerical simulations. The simulation results for the bioreactor application demonstrate the effectiveness of the proposed observer.
Keywords:	Sliding mode observer, biochemical process, nonlinear systems, wastewater treatment, High gain, EKF.
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	IDENTITY BASED CRYPTOGRAPHY FOR MOBILE AD HOC NETWORKS
Author:	V.LAKSHMAN NARAYANA , Dr.C.R.BHARATHI
Abstract:	MANETs (Mobile Ad Hoc Networks) are facing the common problems in providing security in all aspects. Their natural characteristics make them vulnerable to passive and active attacks, in which misbehaving nodes can eavesdrop or delete packets, modify packet contents. The Identity-based cryptography system to MANET mainly concentrates on deal out the responsibility of consistent ability among the multiple nodes in a network. Cryptographic technique which uses public key is the mechanism considered in this regard. Secret sharing mechanism is adopted by many existing systems which involves secret sharing of keys to a trusted node among nodes in a network which increases security level. Here we propose threshold cryptography which makes the authority more robust against network disasters and harder to negotiation. Identity-based cryptography, where any identity may assist as a public key, makes certificates and certificate distribution superfluous. The authority distributing private keys corresponding to identities is called a Private Key Generator (PKG). The proposed method deliberates distributing a PKG towards the nodes in the MANET. It shows the security properties of the base IBC systems are preserved when this distributed PKG is used instead of the original.
Keywords:	Cryptography, key generation, public key, MANET, private key generation (PKG)
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	AN AUTOMATED USE CASE DIAGRAMS GENERATOR FROM NATURAL LANGUAGE REQUIREMENTS
Author:	MALEK ZAKARYA ALKSASBEH, BASSAM A. Y. ALQARALLEH, TAHSEEN A. ALRAMADIN, KHALID ALI ALEMERIEN
Abstract:	Use case modeling is an important requirements engineering technique which plays an important role in describing the systems specifications and facilitating systems development. The use of linguistic representations of system requirements as a source of information for generating use case models is a challenging task and can be considered relatively a new field. This paper has tackled the problem of extracting the required elements that are needed to automatically generate use case diagrams from specification documents which are written in common natural language. Therefore, we have developed an automated system which employs the Natural Language Processing (NLP) techniques to parse specifications syntactically based on a predefined set of heuristic rules. Furthermore, our system incorporates the capability of analyzing and understanding the English text as a semantic unit to infer some important linguistic features such as reference, comparing and additive cohesive devices. The extracted information is then mapped into actors and use cases, which are the basic elements of use case diagrams. Our proposed approach was evaluated using both recall and precision performance measurements. The experiments revealed that our system has an average of 96% recall and 84% precision.
Keywords:	Use case diagrams, Natural Language Processing, User requirements analysis, Automatic Diagrams Generation, Information Extraction.
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	MODIFIED AGGLOMERATIVE CLUSTERING WITH LOCATION QUOTIENT FOR IDENTIFICATION OF REGIONAL POTENTIAL SECTOR
Author:	TB AI MUNANDAR, AZHARI, AINA MUSDHOLIFAH, LINCOLIN ARSYAD
Abstract:	Clustering studies, especially on the hierarchical agglomerative cluster (HAC) have proliferated over the recent years. Many studies used several HAC techniques to identify the proximity of one object of a data with another objects to find correlations between both for specific needs. Some studies in regional economics field utilizied this technique for to identify gaps of development by observing the proximity of achievements of development among regions. But there have been a few discussion related to identifying potential sectors owned in certain regions regarding using this technique. This research was conducted to develop a hybrid algorithm between HAC with Location Quotient (LQ) for potential sectors owned by a certain region. Data on sector of PDRB / GDRP in 31 regencies in Central Java province in 2012 are used to test the developed algorithms. The result showed that 279 of Sector Data of PDRB / GDRP were divided into two main group, i.e. the cluster LQ > 1 reaches as many as 125 Sector data from different regencies (as a potential sectors of a region). The remaining 154 sector data were classified into into cluster LQ <1(as a non-potential sectors of a region).
Keywords:	GDRP, HAC, LQ, MACLoQ, Potential Sector
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	TOWARDS ENERGY EFFICIENCY IN AN INTEGRATED HEALTH CARE INFRASTRUCTURE BASED ON THE CLOUD
Author:	ABDESSELAM OUARDI, ABDERRAHIM SEKKAKI, DRISS MAMMASS
Abstract:	The need for storage and instant access to personal data (patient or professional) in Moroccan healthcare is exponential. Thus, the access needs of health professionals to different health information necessitate continuity of care, hence an architecture based on the concept of the cloud proves necessary. Considering the increasing demands placed on healthcare providers for infrastructure, systems and support, cloud computing will be the appropriate solution to meet the needs for care coordination, collaboration and communication between the different actors in the field Of health. Cloud Computing represents an evolution of information systems. Cloud computing brings a new approach to computing, a different way of using computer resources. This development has given existence to several providers offering multiple services. Then, Cloud end users are faced with the choice of the appropriate provider in terms of supported technologies, security and access rules. So, the sector aims to create a solution that works for all types of medical facilities, be it hospitals, health centers, clinics, private health care providers. In this paper, we propose a solution based on the use of a cloud broker in an inter-cloud environment in order to allow the technological renewal of our infrastructure while reducing the time of access to the services requested by the users, the dissipation of the energy And the number of physical servers installed. Evaluation results demonstrate that our architecture achieve good performance.
Keywords:	Cloud Computing; Cloud Broker; Data Center; VM Migration; Interoperability; CompatibleOne; CloudSim.
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
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Title:	A NOVEL IMAGE STEGANOGRAPHIC SYSTEM BASED ON EXACT MATCHING ALGORITHM AND KEY-DEPENDENT DATA TECHNIQUE
Author:	MAHER A. ALSARAYREH , MOHAMMAD A. ALIA , KHULOOD ABU MARIA
Abstract:	Steganography is defined as the art of hiding secret information. It is used to guarantee information accessibility only by authorized parties. The least-significant bit (LSB) approach is one of the most important scenarios in steganography. However, the existing LSB approaches apply some changing in the image’s pixels values, which make the image suspected by intruders and hackers. This paper proposed an image steganography system based on the exact matching between the image’s pixel values and the secret data. As well as, a random key-dependent data (RKDD) is generated without performing any changes on the image’s pixel values. Moreover, the proposed system has been tested successfully on many images giving promising results. These significant results can be perceived in terms of fast searching time, great number of matches, reduced key size, achieving steganography performance criteria, invisibility, payload/ capacity and robustness.
Keywords:	Steganography, Cryptography, Encryption, Information Hiding, Exact Matching Algorithm, Image, Secret message, LSB, and Key-Dependent Data Technique.
Source:	Journal of Theoretical and Applied Information Technology 15^th March 2017 -- Vol. 95. No. 5 -- 2017
Full Text