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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 February 2011 | Vol. 24. No.2

Paper ID:	14063-JATIT
Title:	PARALLEL MATRIX MULTIPLICATION IMPLEMENTATION IN DISTRIBUTED ENVIRONMENT THROUGH RMI
Author:	NAKKEERAN.M, Dr.RM.CHANDRASEKARAN
Source:	Journal of Theoretical and Applied Information Technology Vol 24. No. 2 -- 2011
Abstract	This paper proposes to solve the parallel matrix multiplication implementation in a distributed environment through RMI based on JAVA threads. The application distributes the products of rows and columns on different machines. One server and two clients are run to find the product of matrix multiplication. The server distributes the determine blocks of rows and columns on the registered clients. The clients return their product blocks to a server, which calculate the final product of matrix multiplication. Applications of this type will allow loaded servers to transfer part of the load to clients to exploit the computing power available at client side. The time of matrix multiplication with size of 200 X 200 and 500 X 500 is reduced by 61.34% and 36.67% respectively by using 2-clients in comparison to sequential program and this time can be decreased more in the case of increasing the number of clients.
Keywords	Distributed Environment, RMI, Java Threads
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Paper ID:	14088 -JATIT
Title:	INCREASING INFORMATION SECURITY INSIDE ORGANIZATIONS THROUGH AWARENESS LEARNING FOR EMPLOYEES
Author:	MOHAMMAD BTOUSH, ABDULSALAM ALARABEYAT, MALIK ZBOON, OMAR RYATI, MUNEER HASSAN, SULIEMAN AHMAD
Source:	Journal of Theoretical and Applied Information Technology Vol 24. No. 2 -- 2011
Abstract	Social Engineering is the use of non-technical means to gain unauthorized access to information or systems. Instead of using vulnerabilities and exploit scripts, the hacker uses human nature. Social Engineering provides the potential for the most complete penetration of a target, but it does take time and talent. Generally, it is only used by hackers who are targeting a specific organization. Social Engineering is represented as in ability of building improper trust relationships with people who are working inside the organization to get unauthorized access privileges or gaining sensitive information such as (usernames, passwords, and personal identification codes(PINS)) which are needed to gain unauthorized access/see the organization's systems and information. Hackers have applied numerous methods to bypass the security measures, for instance using psychological tricks on legitimate users of a computer system to gaining unauthorized access to the information or systems. Many organizations like (companies, banks, universities) around the world are used set of(software and hardware Implementations)to protect them from this fatal attack. there is real fact every one you must takes in yours mind, are you can find one computer system in the world is not depend on human element inside it?, there will always be people who used to provide information and maintenance inside the organizations. many people are using social skills in some forms of our life since the beginning of our life on the universe, because most of us are want to be helpful and trusting source for others that it is from human nature which can not be change it easily. Inside my short paper WE attempt discussing the critical need for security issue in my organization (Petra University), as well as for an individuals (lecturers and Employees), then, WE will describe some of the methods that are used by Social Engineers to infiltrate security measures which are applied inside my university in an effort to ascertain confidential information and use it for malicious purposes. To end with, this paper WE will explain the importance of awareness learning against Social Engineering attack, and describe how the people should incorporate to safeguard and fighting against Social Engineering threats by giving some suggested solutions.
Keywords	Awareness learning, Dumpster Diving, Impersonation, Phishing, Social Engineering.
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Paper ID:	14111-JATIT
Title:	Modeling and Simulation of Discontinuous Current Mode Inverter Fed Permanent Magnet Synchronous Motor Drive
Author:	M. Rajashekar, I.V.Venu Gopala swamy, T.Anil kumar,
Source:	Journal of Theoretical and Applied Information Technology Vol 24. No. 2 -- 2011
Abstract	The aim of this project is to model a six step discontinuous current mode inverter fed to a Permanent Magnet Synchronous Motor (PMSM) drive using MATLAB/SIMULINK. The dq-axis Voltage-Current and Torque relation in terms of machine parameters are used along with a six step 120 degree mode inverter and gate drive using MATLAB/SIMULINK. There is also a provision for easy changes to the machine parameters and gate drive inverter parameters at appropriate places. The various subsystems allow us to change the parameters like power supply data, phase angle advance, PMSM parameters such as stator resistance, inductance, number of poles, rotor magnet constant, Moment of Inertia of motor and damping constant etc. The above model finds its application in power electronics and drives laboratories. Simulation will be done for a phase angle advance of 30° and 45° for a six step discontinuous current mode inverter fed PMSM drive at no load.
Keywords	Permanent Magnet Synchronous motor (PMSM), Brushe Less Direct Current Motor(BLDC), Current Source Inverter (CSI), Voltage Source Inverter (VSI)
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Paper ID:	-JATIT
Title:	Modeling and scheduling intelligent method’s application in increasing hospitals’ efficiency
Author:	Neda Darvish , Mahnaz Vaezi
Source:	Journal of Theoretical and Applied Information Technology Vol 24. No. 2 -- 2011
Abstract	Every human cost of each hospital as the greatest presenter the health care and treatment to all people, the main sources and credits allocated to the health and treatment of a country. Determining the optimal number of employees for each ward of hospital, because of its importance in quality of services offered to customers and costs are among the issues that any clear standard has not been written for it. In This study, the aim of modeling of hospital and use of intelligent systems to adjust the shift program and to determine optimal number of hospital staff in order to increase efficiency and minimizing its costs. As, the presence of patient in the hospital and releasing them can be considered as a discrete system with the characteristics of Markov processes, in the first step, using Markov’s chain models a good estimate of the system conditions such as the number of beds needed and occupied beds, which can be offered in the optimization of capacity is beneficial. In second step, to develop the model, an approach is stated for minimizing the costs with assist of Petri's network. Finally, to control and optimize the model with using the genetic algorithm is presented for optimal shifting of human resources like nurses. The results show 42% reduction of human resources costs and 87% saving service time for patient. Method of study: this study is applicable and it’s in group of descriptive-analysis studies, which had been design as the software and the data collection tool was the checklist of Bu Ali Hospital’s patients’ records, which approved by the related experts and studied after observation, chronoscope and also time of human resources services to several patients and the plan shift of nurses and doctors has been studied with use of intelligent system’s designing. Data analysis and planning is carried out with the method of Petri net and Markov and genetic algorithm with use of Matlab and Hpsim software. Findings: comparison of preparation programs and system design show to patients, improvement of cost reduction about 42% and 87% time saving service. Conclusion: Research various models in operation, can be used as a suitable tool for scheduling and determination the optimal number of staff needed in several parts of a hospital, which has a vital and significant role. Since the designed system in this study is limited to the obtained data from medical and educational center of Bu Ali department affiliated to Islamic Azad University Tehran medical branch, to extend and optimum use in other hospitals require making changes in programming based on data. Therefore, it is recommended to make these systems usable in other hospitals and increasing restrictions, so the prepared program will be closer to the real world, to be done.
Keywords	Hospital Efficiency, Petri's network, Markov’s Chain Model, Genetic Algorithm, Intelligent Networking
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Paper ID:	14142 -JATIT
Title:	Insilico Promoter Prediction using Grey Relational Analysis
Author:	Uma Devi Tatavarthi, Venkata Nageswara Rao Padmanabhuni, Appa Rao Allam, Ramachandra Sridhar Gumpen
Source:	Journal of Theoretical and Applied Information Technology Vol 24. No. 2 -- 2011
Abstract	In machine learning, multiclass or multi-label classification is the special case within statistical classification of assigning one of several class labels to an input object. The multiclass problem is more complex than binary classification and less researched problem. In biology promoter is the DNA region where the transcription initiation takes place. Reliable recognition of promoter region is essential for understanding biological mechanical of the gene. This study proposes a new approach for predicting the promoter from the DNA sequence based on the modeling of Grey Relational Analysis (GRA). In order to construct a promoter prediction system, GRA approach is developed and applied to the real data set with 2111 samples of promoters and non-promoters of 4 species. The results of the current model are compared to those of traditional ones, logistic regression and back-propagation neural network. The results illustrate that the prediction of the proposed GRA model demonstrates better prediction accuracy than the conventional ones. The current results show that the proposed GRA provides a novel approach in predicting the promoter from a genome.
Keywords	Promoter Prediction, Grey Relational Analysis, Grey Systems, Classification
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Paper ID:	14121-JATIT
Title:	A NEW APPROACH FOR GENERATING STRONG KEY IN RIVESTCIPHER4 ALGORITHM
Author:	MANIKANDAN GANESAN, MANIKANDAN RAMACHANDRAN, SUNDARGANESH GOVINDKUMAR
Source:	Journal of Theoretical and Applied Information Technology Vol 24. No. 2 -- 2011
Abstract	In the era of digital transaction, in order to transact the data in a more secured manner the need for a cryptographic algorithm is inevitable. There are numerous numbers of cryptographic algorithms which makes the system invulnerable from the attacks of intruders and eavesdroppers.RivestCipher4 algorithm is one such cryptographic algorithm which is very well known for its performance and simplicity. In this paper, we propose a software toolkit for increasing the key strength so that it will be very hard for the intruder to break the key and this technique will act as black box so that intruder will have no idea about the key formation. So it will lead to increased key complexity which obviously results the intruder nothing else than confusion and frustration.
Keywords	Cryptography, Encryption, key strength, key complexity
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Paper ID:	14145 -JATIT
Title:	DESIGN AND ANALYSIS OF SPEECH PROCESSING USING KALMAN FILTERING
Author:	Vineela Murikipudi, K.Phani Srinivas D.S.Ramkiran, Prof.Habibulla Khan, G.Mrudula, K.Sudhakar Babu, T.Raghavendra Vishnu
Source:	Journal of Theoretical and Applied Information Technology Vol 24. No. 2 -- 2011
Abstract	Speech processing is used widely in every day’s applications that most people take for granted, such as network wire lines, cellular telephony, telephony system and telephone answering machines. Due to its popularity and increasing of demand, engineers are trying various approaches of improving the process. One of the methods for improving the process is Kalman filtering. Kalman filtering now become a popular filtering technique for estimating and resolving redundant errors containing in speech. The objective of this paper is to generate a reconstructed output speech signal from the input signal involving the application of a Kalman filter estimation technique. In this paper, Kalman filter is used to estimate the parameters of the autoregressive (AR) process and represented in the state-space domain.
Keywords	Kalman Filter, Noise Reduction, Speech Processing
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