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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
September 2016 | Vol. 91 No.1

Title:	A NOVEL APPROACH TO GENERATE DISTRIBUTED GLOBAL AND LOCAL USE CASES: A NEW NOTATION
Author:	MOHAMMAD I. MUHAIRAT, AKRAM ABDELQADER, MOHAMMAD AL RAWAJBEH
Abstract:	Requirements analysis is very important phase of the software development life cycle (SDLC). It is used to build domain or conceptual models from requirements analysis. These models are helpful for defining stakeholders and functional requirements. Also, these functional requirements are easy to define for local systems, but they are very difficult to define for distributed stakeholders or systems. In this paper, we proposed a new approach to generate integrated requirements for a distributed system. This approach is composed of four steps: The first one is to generate an event table with a proposed template that suitable for requirements collection. This event table will be filled for each department and branch. The second one is to generate a normalized event table for all departments and branches. The third one is building and analyzing an integrated table to define the redundancy of functional requirements for all departments and branches. The final one is to generate and propose a new UML notation for distributed functional requirements. This approach is applied to a real ERP system as a case study and shows a significant result.
Keywords:	Analysis Models, Distributed requirements, Transformation, Distributed Global Use Case, Distributed Local Use Case, Event Table, Use Case Notation.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	SINGLE CHANNEL SPEECH ENHANCEMENT USING IDEAL BINARY MASK TECHNIQUE BASED ON COMPUTATIONAL AUDITORY SCENE ANALYSIS
Author:	ABRAR HUSSAIN, KALAIVANI CHELLAPPAN, SITI ZAMRATOL M
Abstract:	Single channel speech enhancement is necessary where the multichannel speech enhancement is not feasible due to space constraints in the intended device and cost-effectiveness. However, the problem of having limited information from single channel sound signal mixtures or unavailability of the speech source signals makes it more difficult to separate the target speech from the background maskers in the acoustic environment of low signal to noise ratio, in various background noises and in less temporal duration of speech signals. To address these problems, computational auditory analysis became popular from the last decade as a new concept for speech enhancement. In this paper, ideal binary mask which is inspired by the computational auditory analysis is used to analyze and synthesize the input speech signals and masker signals in the time-frequency domain, where all the signals usually overlap. Synthesized signals are evaluated for speech quality measurement in terms of segmental signal-to-noise ratio. This study uses Malay language based speech as input speech signals. These input speech signals vary in duration due to their word structure. Large crowd babble speech and two talker competing speech are employed as masker signals. The input signal-to-noise ratio is varied from -5 dB to +15 dB in steps of 5 dB to vary the difficulty level of acoustic environment. Results show that ideal binary mask algorithm reconstructs the target speech signals efficiently from the degraded and noisy speech signals. This is signified by the high segmental signal-to-noise ratio even in the lowest input signal-to-noise ratio. This type of high noise reduction is necessary to lessen the burden of elderly listener’s listening effort in noisy environment.
Keywords:	Speech Enhancement, Ideal Binary Mask, Time-Frequency Masking, Computational Auditory Scene Analysis, Speech Quality
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	COMPACT FRACTAL MONOPOLE ANTENNA WITH DEFECTED GROUND STRUCTURE FOR WIDE BAND APPLICATIONS
Author:	M V GIRIDHAR, T V RAMAKRISHNA, B T P MADHAV, K V L BHAVANI, M V REDDIAH BABU, V SAI KRISHNA, G V KRISHNA, S S MOHAN REDDY
Abstract:	This letter presents a novel fan wing shaped uniform one dimensional fractal pattern antenna. The proposed antenna consisting of different inverted L-shaped elements to form a fan wing shaped structure. The design model achieved huge bandwidth characteristics with average gain of 4 dB. The simple structure of the proposed antenna with light weight makes it appropriate for many wireless communication applications. The simulated results on HFSS and measured results on ZNB 20 Vector Network Analyzer show that the proposed antenna has very good performance in impedance bandwidth and radiation pattern.
Keywords:	Compact, Fractal Monopole Antenna, Wide bandwidth, Defected Ground Structure (DGS) Wireless Communications.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	REAL-TIME FACE DETECTION AND RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS (PCA) – BACK PROPAGATION NEURAL NETWORK (BPNN) AND RADIAL BASIS FUNCTION (RBF)
Author:	NAWAF HAZIM BARNOUTI, SINAN SAMEER MAHMOOD AL-DABBAGH, MUHAMMED HAZIM JAAFER AL-BAMARNI
Abstract:	Face Recognition is one of the most important and fastest growing biometric area during the last several years and become the most successful application in image processing and broadly used in security systems. A real-time system for recognizing faces using mobile device or webcam was implemented. Face detection is the first basic step of any face recognition system. Viola-Jones method is used to detect and crop face area from the image. Feature extraction considered as a main challenge in any face recognition system. Principal Component Analysis (PCA) is efficient and used for feature extraction and dimension reduction. Back Propagation Neural Network (BPNN) and Radial Basis Function (RBF) are used for classification process. RBF is considered the result of BPNN output layer as input. The system is tested and achieve high recognition rates. Information about individuals was stored in a database.
Keywords:	Face Detection, Face Recognition, Feature Extraction, Biometrics, Neural Network, PCA, BPNN, RBF
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	OFDMA-BASED NETWORKS CAPACITY IMPROVEMENT USING ENHANCED FRACTIONAL FREQUENCY REUSE SCHEME
Author:	OMAR M. ESHANTA, MAHAMOD ISMAIL, ROSDIADEE NORDIN, NOR FADZILAH A
Abstract:	OFDMA as a broadband technology is intended to offer high data rate services. In cellular networks, a Frequency Reuse (FR) principle has been used to maximize the Signal to Noise-plus-Interference Ratio (SINR), which in turn allows high data rates and spectral efficiency to be achieved. Earlier FR schemes used in 2G and 3G networks are known as Integer Frequency Reuse (IFR) schemes, and were able to improve the global SINR of the system but not the interference at cell edge. Fractional Frequency Reuse (FFR) schemes have been proposed in OFDMA based networks (WiMAX forum 2006) to combat the low SINR at cell edge and gain more amount of spectrum per cell. The tradeoff between interference mitigation using IFR schemes and the extra cell BW gained from FFR scheme needs to be considered. There is a need for the analysis and optimization of FFR key parameters which control the system performance to ensure the highest data rate and spectral efficiency. In this paper, we propose a new FFR-based scheme called Enhance FFR (EFFR), deriving its analytic model and using simulations to evaluate its performance along with different FR schemes and patterns, including IFR and FFR (classified into Hard, HFFR and Soft, SFFR). The effective SINR (SINReff) and Cell Data Rate (DRcell) are used as performance criteria. Further, the optimum values of SINRth and power ration ψ have been defined for all FR patterns. Simulation results show that the highest DRcell was obtained from the proposed EFFR 1x3x3, followed by SFFR 3x1x1, at 137.85 Mbps and 111.33 Mbps, respectively.
Keywords:	OFDMA, Fractional Frequency Reuse FFR, Frequency Reuse Schemes, Spectral Efficiency
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	EXPLORING THE USE OF SOCIAL MEDIA TOOLS AMONG STUDENTS FOR TEACHING AND LEARNING PURPOSE
Author:	NUR SHAMSIAH ABDUL RAHMAN, MOHD SHAHIZAN OTHMAN, WALEED AL-RAHMI
Abstract:	Social media network is a fairly recent word used to define a form of learning that can be performed via websites online learning. The exploring of the potential use of social media tools and impact of contingent factors on the relationship between three predictors was investigated. A total of 235 valid responses were received from undergraduate students Faculty of Computing, Universiti Teknologi Malaysia (UTM) in the study. Several factors have been found to correlate with social media use, active learning both to affect teaching and learning. The researchers made use of the structural equation modelling (SEM) method with the SmartPLS program to shed a light on the adoption process. The results show that the use of social media positively and significantly relates to active learning, which in turn affect teaching and learning.
Keywords:	Social Media, Teaching and Learning, Higher Education, Active Learning
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	A SCALED WEIGHTED VARIANCE S CONTROL CHART FOR SKEWED POPULATIONS
Author:	ABDU.M. A. ATTA, MAJED. H. A. SHORAIM, SHARIPAH. S. S.YAHAYA, ZAKIYAH. ZAIN, HAZLINA. ALI
Abstract:	This paper proposes a new S control chart for monitoring process dispersion of skewed populations. This control chart, called Scaled Weighted Variance S control chart (SWV-S) hereafter, this new SWV-S control chart is an improvement of the Weighted Variance S control chart (WV-S) proposed by Khoo et al. [11]. The proposed control chart reduces to the Shewhart S control chart when the underlying distribution is symmetric. The proposed SWV-S control chart compared with the Shewhart S and WV-S control charts. An illustrative example is given to show how the proposed SWV-S control chart is constructed and works. Simulations study show that the proposed SWV-S control chart has the lower false alarm rates than the Shewhart S control chart and WV-S control chart when the underlying distributions are Weibull, lognormal and gamma. In terms of the probability of detection rates, the proposed SWV-S control chart is closer to S control chart with the exact method than those of the Shewhart S and WV-S control charts.
Keywords:	Control Chart, Weighted Variance, Scaled Weighted Variance, False Alarm Rates, Skewed Populations
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	CATENATED OFDM MODULATION SCHEME COLLABORATIVE WITH VLC FOR UPLINK LIFI SYSTEM
Author:	N. M. NAWAWI, ANUAR M. S., M. N. JUNITA, A. K. RAHMAN, S. A. ALJUNID
Abstract:	This paper focus on performance of a new modulation approach which is known as catenated orthogonal frequency division multiplexing (C-OFDM) integration with visible light communication (VLC) system suggested for uplink LiFi system. OFDM based network modulation and demodulation have a huge comparative advantages over other modulation including reduced frequency selectivity fading, provision for a higher number of subcarriers, high data rate and higher spectrum efficiency. By using simulation, the proposed system based on novel C-OFDM gives a good bit error rate (BER) performance (10-9 and below) with 16-quadrature amplitude modulation (16-QAM). In term of spectral efficiency, the system is compared with presence dense wavelength division multiplexing (DWDM) technique when varied the number of users. The result reveals that proposed C-OFDM is feasible for multiband modulation system and the scheme also effects on high spectral efficiency with spectral offset of more than 1 bps/Hz compared to conventional method.
Keywords:	Catenated OFDM (C-OFDM),Visible Light Communication (VLC), OFDM, Modulation Technique, Multiband Modulation
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	CLASSIFICATION, EVALUATION AND ASSESSMENT OF SERIOUS GAMES IN BUSINESS FIELD
Author:	BAKKALI YEDRI OTHMAN, SLIMANI ABDELALI, BELAHBIB AMINE, EL AACHAK LOTFI, EL OUAAI FATIHA, BOUHORMA MOHAMED
Abstract:	The teaching manners have been improved and becoming more interactive with the technological progress that the educational field has known, and especially with the integration of the video games in the learning process. However, in order to promote their business, several companies are keeping the challenge by using some existing games, trying to develop their own serious games. In this paper we hope to present the art of state of several works corresponding to the business field. This paper resumes the analysis of the existing study of serious game for business process. However, they raise many challenges into different sectors. Indeed, the comparative study of some existing games will describe some characteristics used to classify all surveyed games and present them into graphs and charts with their corresponding discussion.
Keywords:	Serious Games, Business, E-Training, Assessment, Classification
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	ROAD EXTRACTION IN A VERY HIGH RESOLUTION IMAGE BASED ON HOUGH TRANSFORMATION AND LOCAL BINARY PATTERNS
Author:	ZAAJ IBTISSAM, BRAHIM EL KHALIL CHAOUKI , LHOUSSAINE MASMOUDI
Abstract:	Recently, many approaches have been presented for automatic urban road extraction. Most of these approaches are based on line detecting algorithms. This paper present a new method of road extraction from high resolution image in urban areas, based on Hough Transformation and Local Binary Patterns. The Hough Transformation method has proven important results to straight line extraction, but it still not sufficient to distinguish between road and others objetcs are similar spectral reflectance (building, parking lots, square and other built-up areas) making road extraction intrinsically difficult. However the Local Binarry Patterns (LBP) seems to be a promising method, it compare the luminance level of a pixel with the levels of its neighbors. This therefore reflects information on regular patterns in the image what is called a texture. The main contribution of this work is using the LBP operator in the road extraction. We applied our system on a set of satellite imagery, the combination of the LBP operator and Hough transformation provide empirical results illustrating the effectiveness of our approach. Furthermore, we compared the proposed method with other existing method in the literature. We conclude that the proposed method can provide an effective means for extracting roads over densely populated urban areas from VHR satellite images.
Keywords:	Road detection, Local Binary Patterns, Hough transformation, Contour.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	FEATURE-BASED PHISHING DETECTION TECHNIQUE
Author:	XIN MEI CHOO, KANG LENG CHIEW, DAYANG HANANI ABANG IBRAHIM, NADIANATRA MUSA, SAN NAH SZE, WEI KING TIONG
Abstract:	Phishing is an Internet fraud to entice unsuspecting victims. The tactic of phishing is to impersonate the trusted entities by employing both social engineering and technical subterfuge. Moreover, phishing is a form of online identity theft that creates a fake copy of popular site. There are many types of anti-phishing techniques available. However, they are mostly still in the infancy stage which may give false alarm to the user. Therefore, this research aims to develop a feature-based phishing detection technique to overcome the limitation. The proposed method involves aggregating new features with several existing features to form a sensitive features set. Based on the features set, the proposed method will utilise support vector machine to perform the classification. The experimental results show convincing performance with 95.33 percent of accuracy.
Keywords:	URL Features, Website Features, Phishing Detection, Anti-Phishing, Feature Extraction, Classification
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	A PRELIMINARY STUDY ON REWARD MANAGEMENT SYSTEM MODEL FOR ENCOURAGING EMPLOYEE’S KNOWLEDGE SHARING BEHAVIOR
Author:	NUUR ASRAM KAMAR NORDIN, NOREEN IZZA ARSHAD, KHAIRUL SHAFEE KALID
Abstract:	Research in the IS areas has shared many views on technology and reward in organizations that support knowledge sharing behavior. However, these researches have not clearly mentioned how technology and reward system could be the enabler that would encourage and sustain knowledge sharing. By adopting the Theory of Reason Action and Social Exchange Theory, this paper develops a theoretical model that provides guidance on how organizations could embed reward systems as a part of their larger knowledge management systems. With this model, business and IT managers could ensure that their reward system has the mechanisms (i.e. IT Support, Quality Evaluation) that support knowledge sharing intention. It is hoped that the intrinsic rewards (i.e. reciprocity, self-efficacy, recognition, and enjoyment) gained from the reward management system could then drives a sustainable knowledge sharing behavior.
Keywords:	Knowledge Sharing Behavior, Reward Management System (RMS), Intrinsic Rewards, Theory of Reasoned Action (TRA), Social Exchange Theory (SET)
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	AN ADAPTIVE PERSONNEL SELECTION MODEL FOR RECRUITMENT USING DOMAIN-DRIVEN DATA MINING
Author:	MUHAMMAD AHMAD SHEHU, FAISAL SAEED
Abstract:	To support organizations in structuring personnel selection strategy for recruitment, various researches have been conducted using data mining approaches, and selection models containing selection rules were developed. Based on the methodology used, researches conducted were categorized as method – driven and domain–driven data mining approach of which domain–driven was discovered the preferred due to its model applicability in the real world. However, with the occasional changes in organization selection strategy, the models developed cannot adapt to these changes due to the static nature of the rules contained in the models. This research aims at developing an adaptive personnel selection model to support personnel selection for recruitment and adapt to the changes in personnel selection strategy. The framework used in developing the model involves Federal University Lokoja Nigeria recruitment dataset usage for extraction of selection rules to support personnel selection process using decision tree method of classification, generation of adaptive rules to handle the changes in personnel selection strategy using frequent and non-frequent pattern of data mining and domain expert’s validation of each rule developed. The result of the implementation of the proposed model was ranked the highest after comparing it with selection models developed using four decision trees.
Keywords:	Human resource management, recruitment, personnel selection, data mining, method–driven data mining, domain-driven data mining.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	BIG DATA FOR ACCREDITATION: A CASE STUDY OF SAUDI UNIVERSITIES
Author:	ARWA IBRAHIM AHMED
Abstract:	Big data and its analysis are one of the most prominent technological trends amongst academia and business as it allows treat massive, varied and complex structure of data sets from numerous sources to gain deeper insights and greater values from these data analytics. This study explore the factors necessary for Big Data implementation and provide understanding how enhance these factors in higher education accreditation using qualitative case study of Saudi universities. This found six key factors are essential for big data implementation in higher education accreditation in Saudi universities, are security issues, preserving privacy, analytical skills, IT infrastructure, top management support and collaborative information-sharing projects.
Keywords:	Big Data, Higher Education, Accreditation, Analytics and Key Factors
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	SONG STRUCTURE IDENTIFICATION OF JAVANESE GAMELAN MUSIC BASED ON ANALYSIS OF PERIODICITY DISTRIBUTION
Author:	D. P. WULANDARI, Y. K. SUPRAPTO, M. H. PURNOMO
Abstract:	In a song played by multiple instruments, there is distribution of periodicities that comes from different playing patterns among groups of instruments. We propose a visualization of this distribution for analyzing song structure of Javanese gamelan music. A predefined number of periodicities along with their confidence levels are obtained using comb filter resonator. The filter is applied to the auto-correlation function of overlapping analysis frames of the musical track. We cluster the distribution based on the proximity of two parameters, which are periodicity and confidence level. In this way, we assume that each cluster center represents the periodicity of a group of instruments. We observe four features of the visualization, namely the width and the average height of periodicity distribution, the pattern of dominant periodicities, and the fluctuation of the most dominant periodicity. Those features implicitly give us information regarding the strength applied to the notes, the estimated number of instruments, and the accent of song according to those features, from which we make an inference about the structure. We provide the experiment with a database of thirty Javanese gamelan songs and compare the analysis of lancaran, ladrang, and ketawang song structures. The results show that using this method, lancaran received the highest performance, which is 0.94 F-measure, followed by ketawang and ladrang with F-measure of 0.90 and 0.75 respectively.
Keywords:	Comb Filter Resonator, Confidence Level, Periodicity Distribution, Song Structure Analysis, Javanese Gamelan Music
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	IDENTIFYING SIMILAR BUSINESS PROCESS MODELS
Author:	YEDILKHAN D., BEKTEMYSSOVA G.U
Abstract:	Large organizations experience shows that repositories of business process models contain lots amounts of duplication. For example, this duplication arises when the repository covers multiple variants of the same processes. This article studies the problem of identifying similar business process models. The article proposes technique for detecting clusters of approximate duplications based on well-known clustering algorithm, such as DBSCAN.
Keywords:	Business Process Model, Duplication Models, Standardization, BPM
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	ADAPTIVE BACKSTEPPING CONTROL FOR WIND TURBINES WITH DOUBLY-FED INDUCTION GENERATOR UNDER UNKNOWN PARAMETERS
Author:	MOHAMMED RACHIDI, BADR BOUOULID IDRISSI
Abstract:	This paper deals with an adaptive, nonlinear controller for wind systems connected to a stable electrical grid and using a doubly-fed induction machine as a generator. The study focuses on the case wherein the aerodynamic torque model and winding resistances of the generator are unknown and will be updating in real time. Two objectives were fixed; the first one is speed control, which allows us to force the system to track the optimal torque-speed characteristic of the wind turbine to extract the maximum power, and the second deals with the control of the reactive power transmitted to the electrical grid. The mathematical development, both for the model of the global system and the control and update laws, is examined in detail. The control design is investigated using a backstepping technique, and the overall stability of the system is shown by employing the Lyapunov theory. The results of the simulation, which was built on Matlab-Simulink, confirm when compared with control without adaptation, the validity of this work and the robustness of our control in the presence of parametric fluctuations or uncertainty modeling.
Keywords:	Wind power generation, doubly-fed induction generator, unknown winding resistances, unknown aerodynamic torque, adaptive control, backstepping control, Lyapunov theory.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	T2WSN: TITIVATED TWO-TIRED CHORD OVERLAY AIDING ROBUSTNESS AND DELIVERY RATIO FOR WIRELESS SENSOR NETWORKS
Author:	T. Peer Meera Labbai, S.Jothi Prasanna
Abstract:	Wireless Sensor Network (WSN) is the embryonic field of research in the past few years due to its appealing applications in need of mobility. The efficiency of message transfer gets a noteworthy amendment if mobility is assimilated in certain applications. Bettering some performance metrics improves applicability of the applications in several sporadic scenarios like military and disaster surveillance, industrial product line monitoring, agricultural and wildlife observation and health care. In this article, the subsisting C2WSN for static nodes is amended with a periodic light weighted CREIDO packet to improve the robustness and packet delivery ratio in the two-tiered chord overlay for wireless sensor networks. The simulated experiments also show that an improvement in robustness leads to increase in packet delivery ratio.
Keywords:	Overlay, CREIDO, Chord, Sensor, PDR.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	PERFORMANCE IMPROVEMENT OF TRANSMISSION SYSTEM USING TCSC WITH FIRING ANGLE CONTROL
Author:	Mr.A.HEMA SEKHAR, Dr.A.LAKSHMI DEVI
Abstract:	In todays highly complex and interconnected power systems, mostly made up of thousands of buses and hundreds of generators, there is a great need to improve electric power utilization maintaining reliability and security. Available power generation, usually not situated near a growing load center, is subject to regulatory policies and environmental issues. The majority of the losses are occurred at the transmission level. So by controlling or managing the transmission system with FACTS the losses will be reduced. Although the voltage constraints are within limits but the reactive power losses are majorly high in transmission system. So by suitable placement of series FACTS devices i.e TCSC at the transmission system the reactive power losses are controlled. In this paper the concept of firing angle control for the series compensating device is introduced for flexible control of the device at transmission system. Simulation results are carried out on IEEE 14, 30, 57,118 bus test systems.
Keywords:
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	SENTIMENT ANALYSIS OF SMARTPHONE PRODUCT REVIEW USING SUPPORT VECTOR MACHINE ALGORITHM-BASED PARTICLE SWARM OPTIMIZATION
Author:	MOCHAMAD WAHYUDI, DINAR AJENG KRISTIYANTI
Abstract:	Nowdays, social media gives the very large effect to the digital improvement in terms of global communications. It can be seen from the increasing of consumers opinion and review about smartphone product that they write on various social media. So that can be recognized various sentiments about the product either positive, negative or neutral. Sentiment analysis is a computational study of the opinions, behaviors and emotions of people toward the entity. The entity describes the individuals, events or topics. That topics generally could be the review of diverse datasets, one of it is a product review. www.gsmarena.com is one of the website that provides information of smartphone products review. Reexamination of smartphone product review by classifiying it into positive and negative class is the good way to find out the consumers response of the products quickly and properly. From some techniques of classifications, the most often used is Support Vector Machine (SVM). SVM are able to identify the sparated hyperplane which maximize margin two different classes. However SVM is lack of electing appropriate parameters or features. Election features and setting parameter at SVM significantly affecting the results of accuracy classifications. Therefore, in this research used the merger method election features, namely Particle Swarm Optimization in order to increase the classifications accuracy Support Vector Machine. This research produces classifications text in the positive or negative of smartphone products review. The evaluation was done by using 10 Fold Cross Validation. While the measurement accuracy is measured by Confusion Matrix and ROC curve. The result showed an increasing in accuracy SVM of 82.00% to 94.50%.
Keywords:	Particle Swarm Optimization, Review, Sentiment Analysis, Support Vector Machines, Text Classification.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	DESIGN AND IMPLEMENTATION OF MF-MB CANCELLATION DETECTION IN TRANSMISSION OF PHYSICAL LAYER NETWORK
Author:	B.SUNEELA, E.V.KRISHNA RAO, K.CH..SRI KAVYA
Abstract:	Today’s Wireless networks have become more and more prevalent to promise global digital connectivity, and wireless devices have quickly evolved into multimedia smart phones, which run applications that demand high-speed data connections. MU-MIMO (Multi-User Multiple-Input-Multiple-Output) wireless method has received considerable attention as a way to meet such demand by achieving high efficiency. In this paper consider a Physical-layer Network Channel and proposed a less difficulty of MF-SIC (Multiple Feedback Successive Interference Cancellation) strategies with multi-branch (MB) processing for achieving higher detection diversity order. Additionally, LDPC (Low-Density Parity-Check) coded are used for makingproper detection and performance at low complexities which are used towards removing the inter-symbolinterference, as well as spatial effects to large dimension of delay spreads with MIMO channel. The experimental results show that these new detection systems considerably beat the previous SIC receivers as well as moderate the singularity of propagation error with low processing delay.
Keywords:	PNC, MU-MIMO system, Error control code, Multi-Branch Processing, Successive Interference Cancellation
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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Title:	FPGA IMPLEMENTATION OF MIMO METAHEURISTIC MAXIMUM-LIKELIHOOD ALGORITHM HISD-ML
Author:	ABDESSALEM TRIMECHE, ANIS SAKLY, ABDELLATIF MTIBAA
Abstract:	In many wireless communication systems, the detection comes down to solving an optimization problem of a combinatorial system of the form y = Hx + w. In the general case, it’s known that ML is "NP-Hard". In this paper, to solve this problem, a new algorithm called HISD suboptimal (hyperplane Intersection and Selection Detector) is proposed. This algorithm is based on a geometric approach. Compared with existing algorithms, the HISD has three very attractive features for implantation into real systems. The first relates to its performance in terms of BER which are close the optimum (ML) limit. Its complexity in terms of calculation is small and its structure is inherently parallel, which makes its hardware implementation easier. The puropose of our research is to develop a near optimal detector that performs a similar performance ML with a polynomial computational complexity. Indeed, we adopt an approach based on the methods of operational research in real time and especially meta-heuristics. Indeed, the developed method is composed of two complementary techniques: the intensification and diversification .In this paper, we propose a hardware implementation of the HISD algorithm in FPGA for MIMO (Multiple Input Multiple Output) systems.
Keywords:	MIMO, HISD, FPGA, ML, BER, SNR…
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2016 -- Vol. 90. No. 1 -- 2016
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