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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
January 2014 | Vol. 59 No.3

Title:	ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION
Author:	E. SREE DEVI, Dr. B. ANAND
Abstract:	Most of the digital cameras used now has single sensor with an array of color filters to capture the digital images. Color Filter Array (CFA) uses alternating color filters to sample only one color of a pixel location to reduce the price. In the entire image, only one third of sampled pixels have genuine values from the sensors. Remaining pixels are interpolated from these genuine values. In this work, a new adaptive CFA interpolation model is proposed. Pixels are divided into edge pixels and non-edge pixels. If the pixel is not in an edge, then smooth hue transition interpolation is used. For the pixels in the edge, Edge sensing interpolation algorithm is used. A mathematical model is proposed for interpolation based on the direction of the edges. Two sample images are taken and reconstructed by methods such as hue transition interpolation, edge sensing interpolation and combined approach. PSNR is used to compare the results of proposed technique.
Keywords:	CFA Interpolation, Bayer Filter, Hue Transition, Edge sensing, Adaptive Interpolation Algorithm
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	STATISTICAL COMPLEXION-BASED FILTERING FOR REMOVAL OF IMPULSE NOISE IN COLOR IMAGES
Author:	P.VENKATESAN, Dr.S.K.SRIVATSA
Abstract:	A statistical complexion-based filtering techniques, named as the Adaptive Statistical Complexion based Filtering techniques (ASCF), is presented for removal of impulse noise in degraded color images. In distinction with the traditional noise detection techniques where only 1-D numerical information is used for noise detection and estimation, an innovative noise detection scheme is proposed based on statistical personality and features (i.e., the 2-D information) of the degraded pixel or the pixel region, leading to effective and efficient noise detection and estimation outcomes. A progressive restoration mechanism is devised using multipass nonlinear operations which adapt to the intensity and the types of the noise. widespread experiments conducted using a extensive range of test color images have shown that the ASCF is advanced to a number of existing well-known standard techniques, in terms of average image restoration performance criteria, including objective measurements, the visual image quality, and the computational complexity.
Keywords:	color image restoration, impulse noise detection, progressive filtering.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	ILLUMINATION NORMALIZATION USING LOCAL GRAPH STRUCTURE
Author:	HOUSAM KHALIFA BASHIER, LIEW TZE HUI, MOHD FIKRI AZLI ABDULLAH, IBRAHIM YUSOF, MD SHOHEL SAYEED, AFIZAN AZMAN, SITI ZAINAB IBRAHIM
Abstract:	The problem associated with Illumination variation is one of the major problems in image processing, pattern recognition, medical image, etc; hence there is a need to handle and deal with such variations. This paper presents a novel and efficient algorithm for images illumination correction call local graph structure (LGS). LGS features are derived from a general definition of texture in a local graph neighborhood. The idea of LGS comes from a dominating set for a graph of the image. The experiments results on ORL face database images demonstrated the effectiveness of the proposed method. The new LGS method can be stabilized more quickly and obtain higher correct rate compare to local binary pattern (LBP). Finally, LGS is simple and can be easily applied in many fields, such as image processing, pattern recognition, medical image as preprocessing
Keywords:	Local Graph Structure, Feature Extraction, Pattern Recognition, Illumination Variation, Local Binary Pattern, Texture Classification.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	FEATURE SELECTION BASED ON THE CLASSIFIER MODELS: PERFORMANCE ISSUES IN THE PRE-DIAGNOSIS OF LUNG CANCER
Author:	K.BALACHANDRAN, DR. R.ANITHA
Abstract:	Dimensionality reduction is generally carried out to reduce the complexity of the computations in the large data set environment by removing redundant or de-pendent attributes. For the Lung cancer disease prediction, in the pre-diagnosis stage, symptoms and risk factors are the main information carriers. Large number of symptoms and risk attributes poses major challenge in the computation. Here in this study an attempt is made to compare the performance of the attribute selection models prior and after applying the classifier models. A total of 16 classifier models are preferred based on relevancy of the models with respect to the data types chosen, which are based on statistical, rule based, logic based and artificial neural network approaches. Feature set selection and ranking of attributes are done based on individual models. Based on the confusion matrix parameters the models prediction outcomes are found out in the supervisory training mode. The Confusion matrix of the models before and after dimensionality reduction is computed. Models are compared based on weighted Reader Operator Characteristics. Normalized weights are assigned based for the result of individual models and predictive model is developed. Predictive models performance is studied with target under supervised classifier model and it is observed that it is tallying with the expected outcome.
Keywords:	Lung Cancer, Pre-Diagnosis, Data Mining, Artificial Neural Network, Classifier, Feature Selections
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	EVALUATION OF VARIOUS MULTICARRIER SPWM STRATEGIES FOR SINGLE PHASE SEVEN LEVEL CASCADED QUASI-Z-SOURCE INVERTER
Author:	T.SENGOLRAJAN, B.SHANTHI, 3S.P.NATARAJAN
Abstract:	This paper focused on the performance analysis of various Multicarrier Pulse Width Modulation (MCPWM) strategies with Sinusoidal reference for single phase seven level cascaded quasi-Z-source inverter (qZSI). It is a new topology derived from the traditional Z-source inverter (ZSI), employing an impedance network which couples the source and the inverter to achieve voltage boost and inversion. The qZSI inherits all the advantages of the ZSI, which can realize buck/boost, inversion and power conditioning in a single stage with improved reliability. In addition, the proposed qZSI has the unique advantages of lower component ratings and constant dc current from the source. The cascaded quasi-Z-source based MLI strategy enhances the fundamental output voltages particularly at lower modulation index ranges with reduction in Total Harmonic Distortion (THD). Performance factors such as %THD, VRMS where measured and CF, DF of output voltage are calculated for different modulation indices 0.8-1. The results are compared. The simulation results indicate that the use of quasi-Z-Source in CMLI boost 45% of the total output voltage. PODPWM strategy provides low THD and COPWM strategy is found to perform better since it provides relatively higher fundamental VRMS output voltage.
Keywords:	Cascaded Multilevel Inverter (CMLI), Z-source inverter (ZSI), quasi-Z-source inverters (qZSI), Multicarrier Pulse width modulation (MCPWM), Total Harmonic Distortion (THD), Shoot-through, Buck-Boost
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	DESIGN AND SIMULATION OF RECONFIGURABLE MULTI WAVELENGTH VCSEL USING MEMS
Author:	M.SHANMUGAPRIYA, M.MEENAKSHI
Abstract:	This paper describes the novel structure of the multi wavelength reconfigurable Vertical Cavity Surface Emitting Laser (VCSEL) with tunable Fabry Perot cavities. This device is designed to operate in the C band. The tunability is achieved by varying the cavity length of the filter using electrostatic actuator. The cavity length of the filter is varied to resonate at discrete wavelengths. The cavity length variation is achieved by using MEMS based electrostatic actuator. The active layer of VCSEL is modeled with three quantum wells, and is sandwiched between the DBR mirrors to give high gain. The tunable portion consists of an array of four filters to give different wavelengths. The detail analysis of the filter is carried out and the performance is analysed using Intellisuite software.
Keywords:	VCSEL, Fabry Perot Filter, MEMS, Electrostatic Actuator, Tunable Filter
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	CONCEPTION OF THROUGHPUT BY PREVENTING FLOOD ATTACK IN NETWORK LAYER
Author:	C.DHIVYA DEVI, G.NANTHA KUMAR, DR. A.AROKIASAMY
Abstract:	To achieve the target potential in wireless sensor networks, security has been creating a major role where it has been used during the communication of nodes in a specified area, by considering the secure connections between the nodes during the transmission of packets. As per security as concern, wireless sensor networks has been deployed in several environments, where providing a genuine barrier for the malicious nodes in the specified area is a major challenging task. While there are many disputes, in this article we primarily focus on security of wireless sensor networks by creating and establishing the impact of attacker nodes in the simulated area by using aodv protocol which has been modified by giving values for the creation of malicious nodes through Black hole AODV. Further, we propose the simulated area of network to attain the level of security by introducing key generation technique and intrusion detection system to keep track of monitoring the throughput evaluation which is being calculated by varying the number of each and every connection by fixing the number of attackers constant throughout the network simulated area.
Keywords:	Hello Flood Attack, Attackers, Ad-Hoc Routing, Security, Authentication, Intrusion Detection System, Throughput.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	FOREMOST SECURITY APPREHENSIONS IN CLOUD COMPUTING
Author:	H. KAMAL IDRISSI, A. KARTIT, M. EL MARRAKI
Abstract:	In the recent years, a term keeps coming in the sphere of IT. This new concept called cloud computing is probably the most noteworthy evolution since the arrival of the web. Many business leaders have decided to invest in this architecture in order to gain in terms of saving on material and human resources. Cloud computing can outsource the IT hub of a company, therefore it can focus on its own business. Cloud computing is not only full of benefits. Indeed, it is still subject to several threats related to security which is now must be implemented at a large scale so the transition to the cloud should be attended by some adaptations to export all the known security arsenal. Besides, billing within cloud services does not obey until now to precise and deterministic rules and many companies are crying foul when they are charged with an extortionate price. Cloud computing has certainly turned upside down the practices of business and IT professionals need to review their careers. However, some still do not dare to step into this architecture and they claim that more research effort must be done in order to fill the gaps in the cloud. This paper targets to afford a best description of cloud computing features and explore guidelines for research and high-tech tendencies in order to use and implement cloud infrastructure networks. The chief concepts of cloud computer billing and security threats will be also exposed.
Keywords:	Cloud Computing, Large Scale, Focus, Billing, Threat, Security
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	A FIVE-FACTOR SOFTWARE ARCHITECTURE ANALYSIS BASED ON FAR FOR ATM BANKING SYSTEM
Author:	T.K.S. RATHISH BABU, DR.N.SANKARRAM
Abstract:	Software architecture represents the high level structures of a software system. It can be defined as the set of structures required to explain about the software system which comprise the software elements, the relations between them, and the properties of both the elements and relations. A major challenge in the software architecture design process is the accurate prediction and improvement of the software performance characteristics like outage frequency and duration. This paper proposes hybrid software architecture for an ATM banking system to overcome the difficulties of an existing architecture. The proposed system is based on the Fuzzy Association Rules (FAR). During the extraction of the FAR, a confidence index and theAprioriGen algorithm is utilized to compute the inverse fuzzy transform. Also, this paper presents a review of some of the Software Architecture Analysis Methods (SAAM). The performance of the proposed methodology is analyzed based on the metrics like reliability, flexibility, adaptability and security. The proposed software architecture is compared with the various existing software architectures. The implementation results obviously proves that the proposed methodology performs better than all the other existing software architectures.
Keywords:	Adaptability, Apriori Algorithm, Flexibility, Fuzzy Association Rule (FAR), Software Architecture Analysis Methods (SAAM), and Security.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	VIDEO REPLICA PLACEMENT STRATEGY FOR STORAGE CLOUD-BASED CDN
Author:	SHIJIA. YAO, WENLE ZHOU , HAOMIN CUI AND, MING. ZHU
Abstract:	The online video service need the support of CDN(Content Delivery Networks). Compared with traditional CDNs, it can save a lot of cost by using cloud-based storage nodes to deliver the video content. To guarantee end users’ QoS, CDN should pre-deploy the content files of online video service to the edge nodes which are close to the users. Existed researches have shown that the cost of building CDN by cloud storage nodes is much less than that of using traditional CDNs. The existed off-line replica placement algorithm named GS(Greedy Site) can meet the QoS requirement with relatively small cost when the information of users’ requests is provided. However GS will result in bad load balance and it need the information of users’ requests. In this paper, two classes of offline algorithms are proposed. One named GUCP(Greedy User Core Preallocation) effectively solved the load imbalanced problem caused by GS ,and the other one named PBP(Popularity Based Placement) which is based on the popularity of content effectively placed replicas while there is no users’ requests information. Numerical experiments have demonstrated the effectiveness of the algorithms above.
Keywords:	Cloud storage, CDN, Replica Placement, Load balance，QoS
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	AN ALL-INCLUSIVE REVIEW ON VARIOUS TECHNIQUES OF WEB USAGE MINING
Author:	P. SENTHIL PANDIAN, Dr.S. SRINIVASAN
Abstract:	Numerous users use World Wide Web (WWW) as their default resource for obtaining knowledge and many organization need to empathize their customer’s preference, behavior and future need to improve their business. Web usage mining is a part of web mining and an active research topic. The main goal is to find, model and analyze the behavioral pattern of the users. The captured patterns are represented as a collection of objects, or as pages, which are frequently used or accessed by a set of users having common interest. The primary advantages are the extraction of segmented data from server logs and discover desired usage patterns from the web. The importance of application level data can be highly distinguished from web server data via web usage mining. Enormous outstanding techniques have been developed to improve the extraction process. This paper presents a survey of recent methodologies in the field of web usage mining.
Keywords:	Data Mining, Web Usage Mining, Behavior Pattern, Preprocessing And Extraction Technique
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	TOPIC BASED QUERY SUGGESTION USING HIDDEN TOPIC MODEL FOR EFFECTIVE WEB SEARCH
Author:	M.BARATHI , S.VALLI
Abstract:	Keyword-based web search is widely used for locating information on the web. But, web users lack sufficient domain knowledge and find it difficult to organize and formulate input queries which affect search performance. Existing method suggests terms using the statistics in the documents, query logs and external dictionaries. This novel query suggestion method suggests terms related to topics present in the input query and re-rank the retrieved documents. A generative model, Latent Dirichlet Allocation (LDA) is used to learn the topics from the underlying documents. The high probability words in a topic are selected using the Kullback liebler(KL) divergence measure and presented to the user for suggestion, to enrich the user query and to narrow the search. The re-ranking technique of this approach uses the initial retrieval position of the document to re-rank the documents. The suggested queries by the hidden topic approach and by keyword search are analysed.
Keywords:	Latent Dirichlet Allocation, Kullback-Liebler Divergence, Query Suggestion, Web Search
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	FUZZY LOGIC MPPT CONTROLLER WITH ENERGY MANAGEMENT SYSTEM FOR SOLAR-WIND-BATTERY-DIESEL HYBRID POWER SYSTEM
Author:	K.SEKAR, V.DURAISAMY
Abstract:	Effective utilization of power is more important than generation of power because power scarcity is the major problem at present in India. It leads many industries to utilize the diesel generator results pollution and demand to fossil fuel. So nowadays many industries and government passions on renewable energy. A wind solar hybrid power system plays a crucial role today in renewable power resources because it uses solar energy combined with wind energy to create a stand-alone energy source that is both dependable and consistent. This paper proposes effective energy management controller for solar wind hybrid renewable power system for telecommunication industries. In power systems apart from power generation managing of power without wastage is imperative. This paper proposes Fuzzy Logic Controller based Effective Energy Management Controller to monitor the power from all resources and load demand consistently and to control whole hybrid power system. Fuzzy logic controller makes accurate selection of sources in right timing. Fuzzy Logic Maximum Power Point Tracking is proposed in this paper for solar and wind power system to provide a constant voltage with the help of DC-DC Single-Ended Primary-Inductance Converter. Absence of telecommunication devices per day is unimaginable in current trend. Main objective of this paper is to supply uninterruptible power for telecommunication loads from standalone solar-wind-Diesel hybrid power system with efficient energy storage system. It provides uninterrupted power, effective utilization of sources, improves life time of battery and minimized usage of diesel. The whole system is analyzed using MATLAB / Simulink.
Keywords:	Hybrid power system (IPS), Fuzzy Logic Controller (FLC), Maximum Power Point Tracking (MPPT), Single-Ended Primary-Inductance Converter (SEPIC), Efficient Energy Management Controller (EEMC) and Effective Energy Storage System (EESS)
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	A VIDEO TRANSCODING USING SPATIAL RESOLUTION FILTER INTRA FRAME METHOD IN MULTIMEDIA NETWORKS
Author:	S.VETRIVEL, DR.G.ATHISHA
Abstract:	Video transcoding is a process of converting one form of video into another form. It provides fine and dynamic adjustment in the bit rate of video bit stream in the compressed domain without imposing additional function in the decoder. In that, H.264 is a successful video coding technique to address a large range of applications, bit rates resolutions qualities and services. Down sampling is special technique used in H.264 to reduce sampling rate of a signal and spatial resolution filter is an optical devices which uses the principles of Fourier options to alter the structure of a coherent light or other electromagnetic radiation, it also one of the technique of spatial domain. Intra-frame is used in video coding (compression) in the video sequence and the H.264/AVC intra-frame decoding and encoding contain a set of computation-intensive coding tools forming a loop in which the data are strongly dependant. We found that in H.264 quality of motion picture degrades so we propose Spatial Resolution Filter to improve the quality. Our experimental result shows that the high computation time saving can be achieved with only negligible quality degradation.
Keywords:	Transcoder, H.264, Down sampling, Spatial Resolution Filter, Intra frame, Motion refinement
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	SYSTEMATIC LITERATURE REVIEW (SLR) AUTOMATION: A SYSTEMATIC LITERATURE REVIEW
Author:	ZUHAL HAMAD, NAOMIE SAlIM
Abstract:	Context: A systematic literature review(SLR) is a methodology used to find and aggregate all relevant studies about a specific research question or topic of interest. Most of the SLR processes are manually conducted. Automating these processes can reduce the workload and time consumed by human. Method: we use SLR as a methodology to survey the literature about the technologies used to automate SLR processes. Result: from the collected data we found many work done to automate the study selection process but there is no evidence about automation of the planning and reporting process. Most of the authors use machine learning classifiers to automate the study selection process. From our survey, there are processes that are similar to the SLR process for which there are automatic techniques to perform them. Conclusion: Because of these results, we concluded that there should be more research done on the planning, reporting, data extraction and synthesizing processes of SLR.
Keywords:	SLR, Automation, Planning, Reporting, Data Extraction, Synthesizing
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	QOS-BASED RANKING MODEL FOR WEB SERVICE SELECTION CONSIDERING USER REQUIREMENTS
Author:	G. VADIVELOU, E. ILAVARASAN
Abstract:	Web services are widely used in the business application development to achieve interoperability among standalone systems. Efficient and effective techniques are required to find and select required services among similar services which is an important task in the service-oriented computing. Ranking process which is part of Web service discovery system helps the users to find the desired services effectively. The existing research contribution for ranking process does not consider the user’s requirements which are an important factor to rank web services. In this work, vector-based ranking method is enhanced to consider user’s requirements. The vector-based model is selected because of its simplicity and high efficiency. The web services are evaluated on the basis of their similarity degrees to the optimal or the best values of various quality attributes. Experiments are conducted with real dataset and the improved algorithm is compared with the other approaches and it is found that the enhanced vector-based ranking method is efficient in terms of execution time to return the result set.
Keywords:	SOA, Web Services Selection, Web Services Ranking, Vector-Based Ranking, QoS
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	AN EFFICIENT CLUSTER BASED ROUTING IN WIRELESS SENSOR NETWORKS
Author:	K.E.KANNAMMAL, T.PURUSOTHAMAN, M.S.MANJUSHA
Abstract:	Wireless Sensor Network (WSN) consists of hundreds or thousands of sensor nodes which have limited energy, computation and memory resources. These sensors are randomly deployed in a specific area to collect useful information periodically for few months or even few years. The applications of WSN in some extreme environment make sensor nodes difficult to replace once the battery lifetime expires. Since the wireless transmission is the most energy consuming operation, designing an energy efficient routing protocol becomes the main goal for the wireless sensor network. LEACH is considered as the most popular routing protocol which has better performance in saving the energy consumption. However, the cluster head choosing formula neglects the change of node’s energy will make the nodes acting as cluster heads too many times leading the cluster head die early by consuming too much energy. This paper presents K means clustering approach for clustering and a two level fuzzy logic approach to Cluster Head (CH) election based on four parameters namely - number of neighbor nodes, remaining energy, energy dispersion and distance from the base station. The proposed method has proved that it prolong the network lifetime than the LEACH protocol by comparison simulations using Matlab.
Keywords:	Wireless Sensor Networks, Clustering, LEACH, K means, Fuzzy Logic
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	ELECTRONIC POWER OF ATTORNEY PROTOCOL BY USING DIGITAL SIGNATURE ALGORITHM
Author:	WALIDATUSH SHOLIHAH, SUGI GURITMAN, HERU SUKOCO
Abstract:	In this paper, we focused on making electronic power of attorney protocol. Power of attorney is a letter that authorizes the holder to carry out specified power given by the grantor. Generally power of attorney consist of the giver and holder identity, the contents of the letter and the signatures of the parties. The signature was made by using a tool such as pen. This power of attorney is certainly less efficient in time, resource, and security as well. Conventional signature (made with pen or other stationery) was easily faked and still using the naked eye for verification. These weaknesses can be overcome with the electronic power of attorney. Electronic power of attorney is using a digital signature for the giver and the holder. The signature used is Digital Signature Algorithm (DSA). Power of attorney in paper media can be replaced with electronic power of attorney. Signature on a power of attorney in paper media was replaced with a digital signature. Electronic power of attorney created using DSA algorithm according to the prevailing power of attorney in Indonesia. Electronic power of attorney protocols are designed to meet the security criteria of a power of attorney.
Keywords:	Digital Signature Algorithm, Electronic, Power of Attorney, Protocol, Signature
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	FPGA BASED ADAPTIVE RESOURCE EFFICIENT ERROR CONTROL METHODOLOGY FOR NETWORK ON CHIP
Author:	M.DEIVAKANI, D.SHANTHI
Abstract:	This research work proposes resource efficient and secured network on chip router using error control schemes. The proposed method combines the Cipher block encryption based parallel crossbar methodologies of the NoC data link and network layers to efficiently gives error control strength in variable network topology conditions. The proposed method significantly minimizes hardware utilization when compared to other previous works. This can be achieved by implementing parallel cross bar architecture with Cipher block based ECC coding method in NoC. The proposed system uses Modelsim software for simulation purposes and Xilinx Project Navigator for synthesis purposes.
Keywords:	Error Control, Cipher, Data Link, Residual Packet And Interleaving.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	SEMANTIC ENRICHMENT OF QUERIES WITH GENERIC AND SPECIFIC TERMS IN THE DEFINITION SENTENCES
Author:	MOHAMED RACHDI, EL HABIB BEN LAHMAR, EL HOUSSINE LABRIJI
Abstract:	Increasing the relevance of the results of research tools remains a real challenge for users and researchers in the field of information retrieval. To overcome this problem, several studies have been conducted, mainly in the methods and techniques that focus on the treatment and the reformulation of queries, to meet the needs of the users. The purpose of this paper is to contribute to the improvement of approaches to reformulate queries by semantic enrichment based on definition sentences. Definitions and terminology have several features and components that can be used in information retrieval, especially in the enrichment of queries. The essential components of the definition sentences are generic and specific terms. Our approach consists of exploiting the definition sentences making use of their generic and specific terms.
Keywords:	Semantic Enrichment, Relevance, Queries, Generic, Spécific
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	PROBABILISTIC KNOWLEDGE BASE SYSTEM FOR FORENSIC EVIDENCE ANALYSIS
Author:	NOOR MAIZURA MOHAMAD NOOR, SALWANA MOHAMAD @ ASMARA, MD YAZID MOHD SAMAN, MUHAMMAD SUZURI HITAM
Abstract:	Crime investigation is a complex task involving huge amounts of information and requiring many different types of expert knowledge. To improve policies and developing effective crime investigation strategies, it is important to understand the processes behind crime. Besides, uncertainty is a common problem in crime investigation. Uncertainties of knowledge in forensic investigation gives a great impact to the decision making process entirely. This paper discusses on representing and calculating probabilistic knowledge for forensic evidence analysis in assisting crime scene investigation. In order to facilitate forensic evidence analysis, a knowledge base system and Bayesian networks have been developed. It describes the process of calculating the probabilities for forensic evidence analysis. In conclusion from the obtained results, it shows that the developed knowledge base can support decision making for uncertainties knowledge in forensic evidence analysis.
Keywords:	Knowledge Base System, Probabilistic, Crime Investigation, Forensic Evidence Analysis
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	COMPARING FUZZY LOGIC AND FUZZY C-MEANS (FCM) ON SUMMARIZING INDONESIAN LANGUAGE DOCUMENT
Author:	DWI ADE RIANDAYANI, I KETUT GEDE DARMA PUTRA, PUTU WIRA BUANA
Abstract:	Text summarization is one way to get the information which is quite effective. Approach techniques of the text summarization are classified into two, namely abstractive and extractive. This paper is focused on the extractive techniques so that the output of the application is important sentences which are taken from the original text intact without modification verbally. There are four majors processes in this research namely preprocessing stage, scoring features, optimization of summarization by two methods (Fuzzy Logic and Fuzzy C-Means), and extraction of summary results. This research use 7 features to calculate the score of each sentence. The core of this research is to compare reliability Fuzzy logic and Fuzzy C-Means method in optimizing process of summary results. The results showed that the method of Fuzzy Logic is outperformed Fuzzy C-Means method with the closest similarity ratio to summarize manually by humans with percentage accuracy of Fuzzy Logic is 58.25% while Fuzzy C-Means method is 54.33%. Increased accuracy occurs when there is additional compression rate in the amount of 1.67% for Fuzzy Logic Method and 4.5% for Fuzzy C-Means.
Keywords:	Summarization, Text Features, Scores Sentences, Fuzzy Logic, Fuzzy C–Means
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	NOVEL OPTIMIZATION TECHNIQUE FOR CLASSIFICATION OF REMOTE SENSING DATA USING SVM
Author:	SAKTHI. G, R. NEDUNCHEZHIAN
Abstract:	Remote sensing data is a collection of images and interpretation of information about an object, area, or event without any physical contact with it. Aircraft and satellites are common remote sensing platforms for earth and its natural sources. Remote sensing’s ability to identify and monitor land surfaces and environmental conditions expanded over years with remote sensed data being essential in natural resource management. Machine learning is used for classification of the remote sensed images. This study uses Support Vector Machine (SVM) with Radial Basis Function (RBF) for classifying Remote Sensing (RS) images. RBF kernel improves classification accuracy. This study proposes SVM-RBF optimization with Cuckoo Search (CS) for remote sensing data classification.
Keywords:	Remote Sensing (RS) images, Salinas’s dataset, Support Vector Machine (SVM), Cuckoo Search (CS), Kernel Optimization
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	CRITICAL REVIEW OF THE EFFORT RATE VALUE IN USE CASE POINT METHOD FOR ESTIMATING SOFTWARE DEVELOPMENT EFFORT
Author:	APOL PRIBADI SUBRIADI, SHOLIQ, PUJI AGUSTIN NINGRUM
Abstract:	Effort estimation is an activity to estimate the number of business activities of workers as well as how long it takes to accomplish a software development project. This estimation is very important to be able to know how much the relevant value of software generated. One common method used to calculate the estimated effort is the Use Case Point (UCP). This research aim to review the UCP method, proposed by Karner in 1993, which is only based on three software development project data. However, until now, most researchers still refer to the value of the proposed Estimate Rate (ER) by Karner without questioning its relevance. In the UCP method, the estimated effort obtained from multiplying the UCP Value by the ER Value. ER Value is the ratio of staff-hours required to accomplish each UCP. Karner proposed ER Value was 20 staff-hours. The final result of this research, the ER Value is equal to 8.2. This value is much smaller than the ER Value proposed by Karner. This is possible due to several reasons: 1) the existence of software engineering methods, 2) the more advanced software engineering technologies, 3) the software by component, 4) the source availability in the internet.
Keywords:	Effort Rate, Use Case Point, Software Development Effort
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	MULTI-OBJECTIVE ARTIFICIAL BEE COLONY (MOABC) ALGORITHM TO IMPROVE CONTENT-BASED IMAGE RETRIEVAL PERFORMANCE
Author:	ANIL KUMAR MISHRA, Dr.MADHABANANDA DAS, DR.T.C.PANDA
Abstract:	Multi-objective optimization has been a difficult area and focus for research in fields of image processing. This paper presents anoptimization algorithm based on artificial bee colony (ABC) to deal with multi-objective optimization problems in CBIR. We have introduce to multi-object ABC algorithms is based on the intelligent scavenging behaviour for content base images. It uses less control parameters, and it can be efficiently used for solving for multi object optimization problems. In the current work, MOABC for discrete variables hasbeen developed and implemented successfully for the multi-objective design optimization of composites. The proposed algorithm is corroborated using the standard test problems, and simulation results show that the proposed approach is highly competitive and can be considered a viable alternative to solve multi-objective optimization problems.Finally the performance is evaluated incomparison with other nature inspired techniques which includes Multi-objective Particle Swarm Optimization (MOPSO) and Multi-objective Genetic Algorithm (MOGA). The performance of MOABC is better as par with thatof MOPSO,MOGA and ABC for all the loading conﬁgurations.
Keywords:	Multi-objective optimization, Structural optimization, Artiﬁcial Bee Colony (ABC), Feature Extraction.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	AUTOMATIC FACE RECOGNITION APPROACHES
Author:	LADISLAV LENC, PAVEL KRÁL
Abstract:	This paper deals with automatic face recognition, which means to use a computer for automatic identification of a person from a digital image or from a video frame. This field became intensively studied in the last two decades. Concerning other biometrics methods, automatic face recognition seems to be one of the most important ones. Therefore, automatic face recognition is used in many applications as for example access control to restricted areas, surveillance of persons, various programs for sharing and labelling of photographs, social networks and many others. The main goal of this paper is to review most important face recognition approaches with their theoretical and practical advantages and drawbacks. We further evaluate and compare these approaches with each other. We conclude that it is generally not possible to identify a best performing face recognition approach and that the choice of the optimal method is strictly related to the target application. We assume that the future research directions will address the main issue of the current approaches, insufficient recognition accuracy in the totally uncontrolled environment.
Keywords:	Approaches Comparison, Face Database, Face Recognition, Personal Identification, Review
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	STATISTICAL BASED OUTLIER DETECTION IN DATA AGGREGATION FOR WIRELESS SENSOR NETWORKS
Author:	U.BARAKKATH NISHA, N.UMAMAHESWARI, R.VENKATESH, R.YASIR ABDULLAH
Abstract:	Inconsistent data caused by compromised nodes in Wireless Sensor Networks can be detached to improve data reliability, accuracy and to make effective and correct decisions. Multivariate Outliers normally describe the data behavior abnormality. Data aggregation is frequently used for the reduction of communication overhead and energy expenditure of sensor nodes during the process of data collection in Wireless Sensor Networks and also to improve the lifetime of the WSN. For the delivery of accuracy in base station, the outlier detection protocol must be incorporated with secure data aggregation. Aggregation will also try to increase the circle of knowledge and the level of accuracy. In this paper we use multivariate data analysis technique, data to handle outlier in correlated variables. To achieve the reliability and accuracy, a two phase algorithm is proposed. First, to build up a well conditioned PCA model for fault detection. Second, we use various statistical techniques to determine similarity between the sensed data against the real data set. We have evaluated our algorithm based on synthetic and real data injected with synthetic faults collected from a WSN. Our results concludes that the proposed algorithm achieves high true alarm rate and low false alarm rate and outperforms all the existing methods in terms of data accuracy and reliability.
Keywords:	Wireless Sensor Network (WSN), Aggregation, Multivariate Outlier, Well Conditioned PCA, Mahalanobis Distance (MD), Minimum Volume Ellipsoid (MVE), Minimum Covariance Determinant (MCD), Minimum Generalized Variance (MGV)
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	PERFORMANCE ANALYSIS OF WAVELET & BLUR INVARIANTS FOR CLASSIFICATION OF AFFINE AND BLURRY IMAGES
Author:	AJAY KUMAR SINGH, V P SHUKLA, S R BIRADAR, SHAMIK TIWARI
Abstract:	Image degradation occurs while acquisition because of so many reasons for example low illumination, noise, occlusion etc. Geometric distortion and radiometric degradations are also one of the widespread difficulties in computer vision. This paper presents a system to classify multi class images deformed due to geometrical transform, blur contamination or the combination of both. Different blur and affined invariant moment descriptors in spatial domain are used to tackle this problem, which are invariant to centrally symmetric blurs. In this paper, performance of the proposed system is analyzed in contrast to wavelet feature based system. The performance of the system is demonstrated through various experiments. Experimental results exhibits that method is effective and computationally inexpensive and can be applied to images having several geometrical and blur degradation in the same image.
Keywords:	Blur invariant moment; Neural Network; Gaussian Blur; Affine Transform; Multiclass Classification
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	A NEW HYBRID APPROACH FOR PREDICTION OF MOVING VEHICLE LOCATION USING PARTICLE SWARM OPTIMIZATION AND NEURAL NETWORK
Author:	BABY ANITHA, E, DR.K.DURAISWAMY
Abstract:	The modeling of moving objects can attract the lots of research interests. The moving objects have been developed as a specific research area of Geographic Information Systems (GIS). The Vehicle movement location prediction based on their spatial and temporal mining is an important task in many applications. Several types of technique have been used for performing the vehicle movement prediction process. In such a works, there is a lack of analysis in predicting the vehicles location in current as well as in future. Accordingly we present an algorithm previously for finding optimal path in moving vehicle using Genetic Algorithm (GA). In the previous technique there is no complete assurance that a genetic algorithm will find an optimum path. This method also still now needs improvement for optimal path selection due to fitness function restricted to prediction of complex path. To avoid this problem, in this paper a new moving vehicle location prediction algorithm is proposed. The proposed algorithm mainly comprises two techniques namely, Particle Swarm optimization Algorithm (PSO) and Feed Forward Back Propagation Neural Network (FFBNN). In this proposed technique, the vehicles frequent paths are collected by watching all the vehicles movement in a specific time period. Among the frequent paths, the vehicles optimal paths are calculated by the PSO algorithm. The selected optimal paths for each vehicle are used to train the FFBNN. The well trained FFBNN is then utilized to find the vehicle movement from the current location. By combining the PSO and FFBNN, the vehicles location is predicted more efficiently. The implementation result shows the strength of the proposed algorithm in predicting the vehicle’s future location from the current location. The performance of the new algorithm is evaluated by comparing the result with the GA and FFBNN. The comparison result demonstrates the proposed technique acquires more accurate vehicle location prediction ratio than the GA with FFBNN prediction ratio, in terms of accuracy.
Keywords:	Moving Vehicle Location Prediction, Particle Swarm Optimization Algorithm Feed Forward Back Propagation Neural Network, Frequent Paths, Genetic Algorithm, Optimal path.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	EFFICIENT TECHNIQUE TOWARDS THE AVOIDANCE OF REPLAY ATTACK USING LOW DISTORTION TRANSFORMS
Author:	M.MANJU, Dr.V.KAVITHA
Abstract:	The huge number of fingerprints collected by the Federal Bureau of Investigation (FBI) has created an enormous problem in storage and transmission. Increase of online communication and transactions, has led to the requirement of security and privacy measures to be inbuilt in fingerprint recognition system. There are several solutions already in use to protect confidential information and to authenticate people electronically. When biometrics is used, it often deals with a discussion concerning privacy and integrity. This paper proposes a new methodology for effectively avoiding the replay attack during transmission of minutiae data. The minutiae information is split in to two parts and the first part is encrypted using pseudo-random permutation and then the remaining part of the minutiae information is embedded into the resultant permuted sequence using a low distortion based digital watermarking transform technique. To prove the integrity of the transmitted data, the receiver performs the same operation as that of the sender and compares the obtained data with the received data. Thus this algorithm gives solution to the replay attack which is found most common in all ATM based applications.
Keywords:	Pseudo-Random Permutation, Digital Watermarking, Image Encryption, Low Distortion Transform
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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Title:	SERVICE BASED FAIR RESOURCE ALLOCATION MODEL (SbFRAM) IN WiMAX
Author:	KHALID MAHMOOD AWAN, ABDUL HANAN ABDULLAH, KHALID HUSSAIN
Abstract:	Two broader categories of the services are introduced in the paradigm of WiMAX. In IEEE 802.16 standard has added these services and called them as Constant Bit Rate (CBR) and Variable Bit Rate (VBR). Both of these services designed for real time and non real time traffic. As per literature available there is a gap to provide additional resources to fulfill the required service class from the user. In this paper we propose a Service Based Fair Resource Allocation Model (SbFRAM), for evaluating the required service from Subscriber (SS) along with the channel condition. Our proposed model evaluates, for providing the required service to SS how much additional resource will be required. In this model we introduced Priority Queue Scheduling Methodology for providing additional resources as per channel condition. In this paper we made comparison with and without proposed model on both traffic, CBR and VBR. We experiment that our proposed model manages the user request by providing them extra resources as required for satisfaction. Their request handled in Priority Queue Scheduling based mechanism. Results shows, that we achieve improvement by providing the additional resource on fair scheduling basis. To achieve the required performance for fairness we have to compromise on delay.
Keywords:	Resource Allocation, SNR, CBR, VBR, Priority Queue
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 3 -- 2014
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