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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 2015 | Vol. 79 No.3

Title:	INDOOR GLOBAL PATH PLANNING BASED ON CRITICAL CELLS USING DIJKSTRA ALGORITHM
Author:	SANI IYAL ABDULKADIR, SYED ABDULLAH FADZLI, AZRUL AMRI JAMAL, MOKHAIRI MAKHTAR, MOHD KHALID AWANG, MUMTAZIMAH MOHAMAD, FATMA SUSILAWATI
Abstract:	Path planning has been implemented in various robotics systems, and the results checked. This paper proposes global path planning based on grids representation in an indoor environment using Dijkstra algorithm. The algorithm uses floor plan of any environment discretized to some equal-sized square grids. Cells that contained doorways, corner, curve and junction are considered as critical cells. These critical cells are used as the vertices to the Dijkstra algorithm, with distances between two successive cells as edges between them, and the shortest path between a set of predefined points within the terrain can then be calculated. Simulations results show that the proposed algorithm enhances performance and speed compared to the traditional Dijkstra’s algorithm.
Keywords:	Global path planning, Grid-based environment, Dijkstra algorithm, Robotics
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	WEB BASED EXPERT SYSTEM TO IDENTIFY TRUSTED PARTNER FOR B2B COLLABORATION
Author:	NORSHAKIRAH AB.AZIZ
Abstract:	Web based expert system (ES) considered as a tool for decision making process. In the traditional supply chain, there is no standard or guideline created to evaluate or assess the potential trusted trading partner for collaboration purposes. If there is a request or a need for an evaluation, the team will be created and the assessment metric keeps changing according to the evaluation team and exposed to the bias issue. However, in web based ES, the experts’ knowledge and experience were encoded into ES and act as consultant to provide recommendation to the assessment and evaluation for finding a potential trusted partner. The automation in ES helps to ensure the assessment standard every time it needed. This study provide an identification method for selecting trusted trading partners using the e2gLite web based ES, based on e-supply chain trust model. Malaysian construction industry supply chain was chosen as domain for this study.
Keywords:	Web based expert system, Expert System, e2gLite
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	SEARCH SPACE OPTIMIZATION AND FALSE ALARM REJECTION FACE DETECTION FRAMEWORK
Author:	ALI SHARIFARA, MOHD SHAFRY MOHD RAHIM, HAMED SAYYADI, FARHAD NAVABIFAR
Abstract:	One of the main challenging issues in computer vision is automatic detection and recognition of object classes. In particular, the detection of the class of human faces is a challenging issue, which makes special attention due to the large number of its practical applications, which use face detection as the main and primary step such as face recognition, video surveillance systems, etc. The main aim of face detection is locating human face in images or videos regardless of variations, which are associated to the face detection problem including pose, illumination, and occlusion. The present research distinguishes by two main contributions, which aims to cope with the problem of face detection to locate faces in different poses precisely. The first contribution is the segmentation of face images, based on skin color, which allows discarding the background regions of image quickly. The process aims to decrease the search space and reduce the computation time for feature extraction process. The Second contribution is applying a validation phase in order to reject false alarms. In this phase, the algorithm uses the enhanced local binary pattern and Support Vector Machine (SVM) to extract features of face and classification the features, respectively. In the proposed framework, the intra-class variability of faces is accomplished in a learning module. The learning module used enhanced Haar-like features in order to extract features from human face.
Keywords:	Automatic Face Detection, False Alarm Rejection, local binary pattern, Image Search Space Reduction, Face Recognition, Face Processing.
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	WAVELET COEFFICIENTS REDUCTION METHOD BASED ON STANDARD DEVIATION CONCEPT FOR HIGH QUALITY COMPRESSED IMAGE
Author:	N.S.A.M TAUJUDDIN, ROSZIATI IBRAHIM, SUHAILA SARI
Abstract:	This paper proposes a method to estimate the wavelet coefficient threshold value at wavelet details subbands to archive high quality image compression. It uses the features of Discrete Wavelet Transform (DWT) where the images are decomposed into one approximate subband and three detail subbands. The detail subbands consists of Diagonal, Vertical and Horizontal subband. By using the standard deviation concept we estimate the threshold value at each detail subbands. The coefficients with larger value then the calculated threshold will be retained while the rest will be discarded. So, for every single image, different threshold values are calculated and applied at each detail subbands. From the experiment done, we found that the proposed method eliminate the near-zero coefficients effectively without harming the quality of the compressed image.
Keywords:	Discrete Wavelet Transform (DWT), thresholding, standard deviation, wavelet coefficients, image compression
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	RELIABLE SHORT TERM LOAD FORECASTING USING SELF ORGANIZING MAP (SOM) IN DEREGULATED ELECTRICITY MARKET
Author:	Z. H. BOHARI, H.S. AZEMY, M. N. M. NASIR, M. F. BAHAROM, M. F. SULAIMA, M. H. JALI
Abstract:	Load demand prediction is important for electric power planning and must be assessed with proper model. The power utility needs to forecasts in order to supply energy to consumer without interference. Neural Networks method is the most popular research topic have been done over the last decade. However, the use of Kohonen Self Organizing Map (SOM) not really explored. This paper present a forecasting method based on type of unsupervised learning neural networks. The main purpose of this project is to investigate the self organizing maps (SOM) neural networks can be used to forecast load demand. In this project, the SOM network is explored to understand the technique of SOM. In addition, this project targeted to improve the accuracy of short term loads forecasting through SOM neural networks technique. This study are focused on testing the first eight hours of the day to be forecast in order to identify its common patterns with the historical database previously trained by neural network. Weekdays data were us as their patterns same. After training, the data were testing and then forecasted. Finally the errors were compared. The MAPE error is 0.322%, 0.128% and 0.64% which is below than 3%. It show that SOM able to use in load forecasting.
Keywords:	Short Term Load Forecasting, Self Organizing Map (SOM), Normalization, Neural Networks.
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	A COMPARATIVE EVALUATION OF CLOUD MIGRATION OPTIMIZATION APPROACHES: A SYSTEMATIC LITERATURE REVIEW
Author:	ABDELZAHIR ABDELMABOUD, DAYANG N. A. JAWAWI, IMRAN GHANI, ABUBAKAR ELSAFI
Abstract:	Context: Developments in cloud computing have made it attractive for consumers to migrate their applications to the cloud environment. However, in the crowded cloud market, application customers and providers face the problem of how to assess and choose appropriate service providers for migrating their applications to the cloud. Objective: The main goal of this systematic review to identify and classify the current cloud migration optimization approaches. The ancillary goal is to present a comparative evaluation of the existing optimization approaches to application migration in cloud computing, in order to clarify the gaps in the existing approaches and identify promising directions in future research. Method: We performed a systematic review of the software engineering literature between 2010 and 2014 to accomplish the objectives of the study. Results: The use of the search string in databases resulted in the identification of 1548 studies. After applying the inclusion and exclusion criteria, the number of studies was reduced to 25 studies which were identified as the primary studies. Five different approaches to exploiting the optimization of application migration to the cloud were identified, namely, architecture-based optimization, model-based optimization, tool-based optimization, single objective optimization, and multi-objective optimization. Conclusion: The study findings reveal an increased interested in optimization approaches to migrating applications to the cloud in recent years. However, cloud migration optimization approaches, including the architecture-based, model-based, tool-based, single objective and multi-objective optimization approaches, are still in the early stages of research and require more research investigation. In addition, we found that the multi-objective optimization approach provides the best solutions to multi-optimization problems and supports decision-making, and thus requires a high level of research attention. Related topics regarding service-level agreement violation, elasticity, and full automation of cloud migration optimization also require future research attention.
Keywords:	Application Migration, Optimization, Search-Based Software Engineering, Systematic Literature Review
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	AN INTEGRATED THEORETICAL FRAMEWORK FOR CLOUD COMPUTING ADOPTION BY UNIVERSITIES TECHNOLOGY TRANSFER OFFICEs (TTOs)
Author:	MAHSA BARADARAN ROHANI, AB. RAZAK CHE HUSSIN
Abstract:	Cloud Computing (CC) as a new phenomenon technology has become a significant term in the world of information systems (IS). Adopting new technologies and developing new systems as new strategies help organizations to gain competitive advantage and become more efficient and productive. As cloud-based solutions have many advantages for organizations it is valuable for them to understand the determinants of cloud computing adoption. Organizations including Technology-Transfer-Offices (TTOs) need to improve their business methods by adopting CC. Despite the advantages of Cloud Computing, only a few studies have examined CC adoption in the IS field and in particular there is no study in the context of TTO. This paper aims to fill this gap by analyzing the determinants of CC adoption by Malaysian TTOs. Many factors influence CC adoption. The aim of this paper is to identify the factors and barriers which influence the adoption of CC by TTOs. To assess the determinants of CC adoption by TTOs, researcher proposed an integrated theoretical framework based on two theories of adoption: the Diffusion of Innovations (DOI) theory and Technology-Organization-Environment (TOE).
Keywords:	Cloud Computing, Adoption, Technology Transfer Office (TTO), Diffusion of Innovations (DOI), Technology-Organization-Environment (TOE)
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	CHARACTERIZATION OF SOFT COMPACT SPACES BASED ON SOFT FILTER
Author:	PEI WANG, JIALI HE
Abstract:	In this paper, we define soft filter and maximal soft filter and give some characterizations about them. Zorlutuna, Akdag, Min, Atmaca[2]introduced and studied the notion of soft compact space. In particular, we investigate the soft compact space based on soft filter and maximal soft filter and get some new results.It provides theoretical supports for the development of the soft topological spaces.
Keywords:	Soft Compact space, Soft Filter, Maximal Soft Filter, Soft Cluster Point , Soft Set
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	RGB-D IMAGE BASED LANDMARK IDENTIFICATION FOR CORRIDOR COVERAGE NAVIGATION
Author:	MUHAMMAD FUAD, RUSDHIANTO EFFENDI A.K., DJOKO PURWANTO
Abstract:	Developing robotic coverage navigation system in straight corridor using only one sensor, RGB-D camera, is a challanging problem. System must be able to identify the landmarks that naturally exist in structured environment. This ability is needed to provide the information about perimeters of workspace that should be covered by robot in a single task at segmented area of corridor. Color detection and distance estimation using RGB-D images are applied to identify landmarks that found in corridor. Identification is calculated from salient region that covered 0.125 of images area. Landmarks in range between 0.8 to 5.6 meters have successfully identified with accuracy 98.86%.
Keywords:	Coverage Navigation, RGB-D Images, Landmarks, Straight Corridor, Structured Environment.
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	DIGITAL REFERENCE SERVICES USING WEB SERVICES: OVERVIEW, DESIGN AND SPECIFICATIONS
Author:	MAGAJI ZAINAB MUSA, M NORDIN A RAHMAN, JULAILY AIDA JUSOH
Abstract:	Digital reference service (DRS) is an emerging trend of traditional reference service. Easily accessible digital reference service that provides real time service to the patrons has become one of the necessities of the library information systems. Implementing a networked synchronous digital reference service by most libraries has become a difficult task. Web services on the other hand allow interoperability between heterogeneous devices and applications provided that they have conformed to the web services protocols. This paper gives an overview of digital reference service and web services applications. It uses questionnaires to make a survey in some university libraries so as to find out the actual problems faced by patrons while using DRS and also to know the specific requirements of the patrons. It provides a means of eradicating the present problem of digital referencing in the libraries by proposing a model for using web services technology in developing networked synchronous digital reference services. The functional informal specifications of the proposed model are also provided.
Keywords:	Digital, Reference, Web Services, Design, Specification, Library, Information System.
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	SPACE-EFFICIENT AND ACCURATE FORWARDING LOOP DETECTION METHOD USING BLOOM-FILTER FOR FAST AND RELIABLE INTERNET ROUTING
Author:	GHADAH ALDABBAGH , HALABI HASBULLAH , KARAN VERMA , OMAIMAH BAMASAK
Abstract:	Link or router node failure in a network of Internet is a typical cause of traffic congestion due to the developed forwarding loop at the router. This failure has a significant impact on Internet performance, contributed from the inability of the affected router to find alternative link/route in fast manner and from the high probability of packet dropping during the attempt of re-routing. The existing Internet approach in handling this issue is to use TTL (time-to-live) of TCP/IP, by which a packet will be dropped whenever the TTL timer expires. However, this approach was found inefficient due to long convergence period. Hence, the effort now is to develop a faster re-routing mechanism, by reducing the possibility of forwarding loop incidents for any cases of link/node failures, whilst minimizing packet losses during the convergence period. This work proposes a novel detection method for possible forwarding loop incidents at a router with support of Bloom-filter. Bloom-filter is a probabilistic data structure that helps to ensure the availability of an item in a set, which never lead to false negative results, but may produce false positive results. With this Bloom-filter-based method, link’s or node’s failure information is attached at the packet header of a packet in a space-efficient manner and to accurately detect for possible incidents of forwarding loop when the packet is traversing through its route from source to destination. If the possibility can be more accurately detected, then packets losses can be minimized to very least during the convergence period and hence, fast and reliable routing shall be achieved. Through simulations, it was found that the proposed method of BF-k/2 has outperformed the other re-routing methods. It has not only efficiently used the limited space of the packet header, but also adaptively reducing the false positive probabilities for reliable routing.
Keywords:	Internet, Link/Node Failure, Forwarding Loop, Bloom-Filter.
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	DESIGN AND OPTIMIZATION OF AN XML- BASED GRAMMATICAL STRUCTURE OF THE HOLY QURAN
Author:	AYOUB KADIM, AZZEDDINE LAZREK
Abstract:	The Holy Quran is considered one of the most studied books along the human history. In fact, until now, scholars and researchers continue to treat it from various specialties: Quranic jurisprudence, rhetoric, grammar, etc., what is called the Quranic sciences. In the same way, we aim through this work to add a new contribution by designing a model that can absorb and organize all the information relating to the Quranic grammar. So, after studying Arabic grammar and Quranic structure, we proposed a methodology to classify Arabic grammar units and index Quranic elements to have an optimal and rich structure. The proposed model is based on XML language for more flexibility and compatibility with various systems and to more benefit from it in Quranic and Natural Language Processing researches. And finally, we discuss contributions, limitations, applications and prospects of this work.
Keywords:	Holy Quran, Quranic sciences, Arabic Language, Grammatical analysis, Natural Language Processing, XML language
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	EMG FEATURES REDUCTION USING FUZZY C-MEANS CLUSTERING TECHNIQUE
Author:	M.H.JALI, N.I.E.JUSOH, M.N.M.NASIR, T.A.IZZUDDIN, M.F.BAHAROM
Abstract:	This paper illustrates the electromyography (EMG) features reduction for classification by using Fuzzy C-Means Clustering (FCM) technique. There are two types of EMG study which are diagnosis EMG and kinesiological EMG. The diagnosis EMG is study about the characteristics of the motor unit action potential for duration and amplitude while for the kinesiological EMG is about the movement analysis of the muscle activity. This work will focus more on kinesionological EMG that used two types of electrode which are surface electrode and fine wire. The EMG signal is a measure of electrical current during the contraction of the muscle. EMG classification is not an easy task due to the signal contains a lot of uncertainties that leads to a high dimensional feature vector. The objective of this work is to extract the time domain features from the EMG signal and to perform the features reduction technique based on different pattern using FCM. In this work, five subjects that use right hand as dominant and without previous illness record are selected.The EMG signal is collected at the forearm muscle. Then, the subjects will be asked to perform 5 different patterns which are lateral, tripod, tip, power and extension..It is expected that FCM could perform EMG features reduction for classifying the upper limb muscle based on the different pattern perform.
Keywords:	Electromyography, Fuzzy C-Means Clustering, forearm muscle, Classification,Pattern
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	DESIGN PROTOTYPE OF ROBOT EXPLORER TERRAIN NATURAL DISASTERS FOR MAINLAND FIELD
Author:	GIVA ANDRIANA MUTIARA, GITA INDAH HAPSARI
Abstract:	Nowadays, robots are used as alternatives tool to replace human activities in various fields. The case of the evacuation of disaster victims is one of good example where robots became one of the best choice because the heavy and dangerous terrain that mostly appear at disaster area was proved to be harmful and dangerous for humans operator. The idea of using robots is to become the instrument that can be controlled remotely, over difficult terrain and provide information for the evacuation team before taking further action. The robot used is wheeled robot designed and controlled wirelessly by the joystick. Cruising terrain information gathering is done using IP camera with wireless transmission media. Camera catches are then displayed in a web application on a personal computer (PC). Tests performed include testing the servo motor, servo motor control is wireless, wireless transmission range, IP camera, transmitting streaming video, and streaming video transmission range. The test results indicate that the functionality of the motor and the camera has been in accordance with the purpose only to be enhanced wireless coverage.
Keywords:	Robot explorer, field land, IP Camera, Wireless, Video Streaming
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	CASCADED IMAGE STEGANOGRAPHY TO INCREASE ROBUSTNESS AGAINTS ATTACK OF THE STEGO IMAGE
Author:	E.I.H.UJIANTO, A.HARJOKO, R.WARDOYO, A.MOESRIAMI
Abstract:	Information hiding is the most important method in hiding secret information from unauthorized party. The purpose of information hiding is to protect the secret information. One of the method commonly used is steganography. In this research, Cascaded Image Steganography based on spatial and tranformational domain is proposed. This method utilizes two steganography algorithms and double cover information hiding. There are two main processes which are encoding and decoding. The encoding process consists of two steps which are Encoding level-1 and Encoding level-2. The decoding process also consists of two steps which are Decoding level-1 and Decoding level-2. The robustness test is then performed against stego image that undergo images processing operations such as filtering, cropping, rotating, and compression. The results show that stego image undergoes filtering has SNR value of 53.6361 dB indicating good picture quality and high fidelity, whereas stego image undergoes JPEG compression has SNR value of 52.7693 dB indicating good picture quality and high fidelity. Image undergoes rotating(-) has poor image quality indicating low fidelity level, whereas image undergoes rotating(+) and cropping has unusable image quality indicating very low fidelity level. The Cascaded Image Steganography method is more secure due to the double cover information hiding.
Keywords:	Cascaded Image Steganography, Image, Encoding, Decoding, Picture Quality
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	PROPER NOUNS RECOGNITION IN ARABIC CRIME TEXT USING MACHINE LEARNING APPROACH
Author:	SUHAD AL-SHOUKRY, NAZLIA OMAR
Abstract:	Named Entity Recognition (NER) identifies proper nouns in a text and categorizes it as a distinct kind of named entities. This function enables the extraction of peoples name, locations, organizations, and currencies. Several research abound in this area in Arabic NER is concerned. However, recognizing Arabic named entities is challenging due to the complexity in the Arabic language. These complexities are represented by non-existence of capitalization feature which facilitates the process of NER. Furthermore, there is a lack of lexical corpora that may include all the Arabic NEs. On other hand, most of the approaches that have been proposed for Arabic NER were based on handcrafted rule-based methods which can be laborious and time consuming. Therefore, this paper presents our attempt at recognizing and extracting the most important named entities, such as names of persons, locations, organizations, crime types, dates and times in Arabic crime documents using the Decision Tree classifier and feature extraction for crime dataset. The dataset consists of varying data sizes collected from online resources and undergone multiple pre-processing tasks. Additionally, the feature extraction task which includes POS tagging, keyword trigger, definite articles and affixes has been performed. Furthermore the classifier will utilize these features in order to classify the named entities. The results demonstrate that the use of the Decision Tree (DT) yields good results in small size datasets, but failed when the dataset is large in the case of the crime domain. This is due to the difficulty of relevant keywords and features in such fields. The best result for this experiment is 81.35% F-measure.
Keywords:	Natural language processing, Machine Learning, Decision Tree, Named entity recognition, Arabic crime document.
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	APPLICATION INTEGRATION AND AUDIT CONTROL IN ORGNISATIONAL MERGER: CASE OF OMAN
Author:	SAQIB ALI, RAFI ASHRAFI AND SALIM AL BUSAIDI
Abstract:	Information and information systems are valuable assets of today’s organisation. These organisations use various applications based on their needs. Whenever there is a merger between two organisations, one of the biggest challenges is to integrate and audit those applications in the merged organisations. This paper reviews various application integration and audit frameworks, discusses their limitation, and proposes an approach for the post-merger integration and audit of the applications of the merged organisations. The approach is demonstrated through the application of a case study of the merger among three organisations in Oman.
Keywords:	Application, Business Process, Business Applications, Input Controls, Process Controls, Output Controls, Information Security, IT Audit, IT Governance, Oman
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	TRAJECTORY TRACKING BASED ON ARM’S LENGTH VARIATION
Author:	YASAMEEN KAMIL N., D. HAZRY, KHAIRUNIZAM WAN, ZURADZMAN M. RAZLAN
Abstract:	Recent growth in scientific technology, integrated actuators and data processing has made the improvement in Unmanned Aerial Vehicle (UAV), quadrotor; wholly possible. In this paper, a description of a novel controlling and modeling design of quadrotor based on the variation in the arm’s length with fixing the motors speed. This design is performed by utilizing a stepper motor mounted inside the fixed arm in order to increasing or decreasing the sliding arm which leads to increasing or decreasing the total arms length according to the required movement. A PD controller is used to stabilize the system performance in altitude, attitude angle and position, a new mathematical model consequent the proposed design. For the optimal selection of the arm’s length, a mathematical expression is designed. A MATLAB code is adopted for the simulation to study the stability of the quadrotor response according to the proposed design and its performance in the trajectory tracking.
Keywords:	Arm’s length, PD controller, Quadrotor, Trajectory tracking, UAV
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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Title:	END-TO-END SECURITY WITH IPSEC AND BIOMETRIC TECHNOLOGY IN VOIP OVER IPV6
Author:	MOHD NAZRI ISMAIL, MOHD SHUKRAN, KAMARUZAMAN MASKAT, NORHATTA MOHD
Abstract:	Voice over Internet Protocol (VoIP) nowadays is the popular communication technology. This paper is about adding face recognition as the biometric authentication for VoIP architecture and added on the end-user workstation for user login. We compare the VoIP performance on IPv6 and IPv4 LANs in presence in difference uses of softphone codecs. Softphone is uses to making call and SIP server at the voice gateway. The performance measures are jitter, packet loss, delays and Mean Opinion Score (MOS). Together with this, Window 7 IPSec is added to ensure end-to-end security through the implementation of VoIP architecture. This paper divided into difference chapters.
Keywords:	VoIP; SIP; IPv4, IPv6, biometric, IPSec, LAN, softphone
Source:	Journal of Theoretical and Applied Information Technology 30^th September 2015 -- Vol. 79. No. 3 -- 2015
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