		FeedBack \| Contact Us \| Links \| Site Map

Welcome to Journal of Theoretical and Applied Information Technology

Submit Paper / Call for Papers

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 2012 | Vol. 43 No.2

Title:	ANALYSIS ON VARIABLE TRANSMISSION SYSTEM OF BATTERY ELECTRIC VEHICLE BASED ON GRAPH THEORY
Author:	MING CHEN
Source:	Journal of Theoretical and Applied Information Technology pp 165 - 169 Vol. 43. No. 2 -- 2012
Abstract	This paper first establishes the graphic model and basic circuit equation of variable transmission system of battery electric vehicle based on complex joint picture representation method and basic circuit method. Then, according to this model, the rotating relation of variable transmission system is analyzed and the calculation formula of transmission rate efficiency is deduced, moreover, the transmission efficiency of the transmission system is calculated. At last the influence degree of each gear ratio on efficiency is confirmed with the method of sensitivity analysis. The research results can provide a reference for transmission system design of battery electric vehicle.
Keywords	Graph Theory; Battery Electric Vehicle; Transmission System; Rotating Ratio; Sensitivity
Full Text

Title:	RESEARCH OF AUTO-DRILLING TECHNOLOGY BASED ON PARAMETERS' SELF-TUNING FUZZY CONTROL
Author:	PENGTAO HUA, SHUGUANG LIU
Source:	Journal of Theoretical and Applied Information Technology pp 170 - 175 Vol. 43. No. 2 -- 2012
Abstract	Due to the shortcomings of the traditional drilling way, as well as the complexity and difficult mathematical model of the drilling process, etc， this paper briefly analyses the principle of auto-drilling system on AC frequency conversion and the relationship among all factors that affects on the auto-drilling and puts forward a technology that combines parameters' self-tuning fuzzy control with constant WOB(Weight On Bit) auto-drilling technology on AC frequency conversion. Through the judgment of drilling pressure trend, the application of parameters' self-tuning fuzzy control realizes the control of the rig's speed. The algorithm does not need accurate mathematical model, and it can learn to fix control parameters in real time by itself. The test shows that the control system has good performance and ensures constant WOB and stable speed in auto-drilling, and the control algorithm can also be used in other auto-drilling systems.
Keywords	Conversion Rig; Constant WOB Auto-drilling; Parameters' Self-tuning; Fuzzy Control
Full Text

Title:	ANALYSIS OF WORK ROLL THERMAL BEHAVIOR FOR 1450MM HOT STRIP MILL WITH GENETIC ALGORITHM
Author:	HONGBO LI, JIE ZHANG, YONGMEI ZHANG, XUTAO ZHENG, YI SU, HONGLIANG CHEN
Source:	Journal of Theoretical and Applied Information Technology pp 176 - 180 Vol. 43. No. 2 -- 2012
Abstract	Work roll thermal contour is one of the important factors for roll contour design and configuration in hot strip rolling, for which the temperature field calculation is a critical factor. To realize the work roll thermal behavior for 1450mm hot strip mill, the temperature field and thermal contour calculation model was built with finite different methods, and the genetic algorithm was introduced to the model parameter optimization in order to improve the simulation precision. It was proved that the model can match the engineering precision requirement by the comparison between several calculated values and measured values of the work roll temperature. With the model, the work roll thermal contour variations in a rolling process, as well as the effect of rolling rhythm and shifting strategy on the work roll thermal contour were calculated. The results show that the work roll thermal crown varies relatively fast at the beginning of a rolling unit, and then tends to be stable. In the rolling process, the rolling rhythm shows great influence on the work roll thermal contour, while the shifting strategy shows little influence.
Keywords	Hot rolling, Work roll, Thermal behavior, Genetic Algorithm
Full Text

Title:	LIGHTEN 3D DATA AND ITS APPLICATION IN MANUFACTURING INDUSTRY
Author:	WANG ZHONG, CHEN MING-RUI, FENG YI-FU1,4 FU XING
Source:	Journal of Theoretical and Applied Information Technology pp 181 - 186 Vol. 43. No. 2 -- 2012
Abstract	The basic concepts of lighten 3D data is introduced; the problems of the traditional three-dimensional visualization technology and the current development status of three-dimensional visualization as well as the development trend of three-dimensional visualization are analyzed in this paper. A variety of solutions of the three-dimensional visualization are compared, the applications and directions of lighten 3Ddata applications are proposed after combining the actual situation of the development of manufacturing industry.
Keywords	Three-Dimensional CAD; Visualization; Browser
Full Text

Title:	A NEW IMAGE COLOR ANALYSIS METHOD BASED ON MANIFOLD LEARNING
Author:	WANG QI
Source:	Journal of Theoretical and Applied Information Technology pp 187 - 191 Vol. 43. No. 2 -- 2012
Abstract	In this paper, the main application image processing, manifold learning and the method of Gaussian mixture model for dimensionality reduction and cluster analysis, the image color information are all studied. First, the color data access algorithm is introduced, secondly, the manifold learning in the local linear embedding (LLE) algorithm is used in color analysis; then the results of an evaluation criteria, LLE parameters in the criteria automatic selection algorithm are presented; meanwhile, the result of the operation of the different color space LLE are also tested and analyzed. Finally, the application of a Greedy EM-based Gaussian mixture model for improving the operation of the HSI space under LLE results of experiments is analyzed. It indicates that the algorithm can automatically determine the number of clusters, and achieve a better clustering result.
Keywords	Manifold Learning; Locally Linear Embedding; Color Space; Gaussian Mixture Model
Full Text

Title:	THE RESEARCH ON LPA ALGORITHM AND ITS IMPROVEMENT BASED ON PARTIAL INFORMATION
Author:	SHENG XIN
Source:	Journal of Theoretical and Applied Information Technology pp 192 - 197 Vol. 43. No. 2 -- 2012
Abstract	With the growing expansion of data size, in-depth study on the social network clustering algorithm gets prominence. A wide range of researches, from the spectral clustering based on modularity, the hierarchical overlapping clustering algorithm to clustering algorithm based on local information, are mainly based on local neighbor information. The current network node cluster typically has a lower time complexity, thus more suitable for large-scale network data sets. In this paper a detailed analysis of the LPA algorithm based on local information is done. The algorithm is not only able to effectively tap the cluster structure of social networks, but also the concept is more simple and easy to be understood. Further research and analysis show that the LPA algorithm in the network cluster structure of the division can be further enhanced, so this article is committed to this direction. The LPA algorithm is proposed to improve the LPA-the SNA algorithm.
Keywords	LPA Algorithm, Partial Information, Clustering Algorithm
Full Text

Title:	HIDDEN MARKOV MODEL WITH PARAMETER-OPTIMIZED K-MEANS CLUSTERING FOR HANDWRITING RECOGNITION
Author:	ZHANG YOUZHI, WANG JIN
Source:	Journal of Theoretical and Applied Information Technology pp 198 - 202 Vol. 43. No. 2 -- 2012
Abstract	Handwriting recognition is a main topic of Optical Character Recognition (OCR), which has a very wide application. Hidden Markov model is a popular model for handwriting recognition because of its effectiveness and robustness. In this paper, a hidden Markov model with parameter- optimized k-means clustering is proposed for handwriting recognition. Two deep features of the images of characters are explored, thus significantly boosts the effectiveness of k-means clustering. The experiments show that this model largely increases the average accuracy of HMM with k-means clustering to 83.5% when the number of clusters is 3000.
Keywords	OCR; HMM; K-Means; Clustering
Full Text

Title:	A CONSTRUCTION METHOD OF COMPLEX DISCRETE GRANULAR MODEL
Author:	CHONG SHI, HAILI WANG, SHENGNIAN WANG, YULONG ZHANG
Source:	Journal of Theoretical and Applied Information Technology pp 203 - 207 Vol. 43. No. 2 -- 2012
Abstract	Discrete granular model in a low stress state as well as retaining homogeneous porosity is the premise and foundation to obtain good results with particle flow method. AutoCAD is used as the processing software in which Polyline is used to render the scope of modeling and the 3dface is used to set delivery area of particles, then the improved expansion-particle method is prepared for generating boundary Wall and command flow of PFC2D automatically. Next, servo boundary is used to adjust stress state among particles and the porosity of model. Finally, the required numerical model will be obtained by using the arbitrary polygon material borderline to control and divide materials into parts. It is proved that a method with visualization is useful for the construction of complex discrete granular model. It can also be used in any 2D model building. What’s more, it is less overlap and none overflow after the damage of bond strength between particles.
Keywords	Discrete Granular; Complex Boundary; Low Stress; Homogeneous Porosity; Servo Boundary
Full Text

Title:	BEHAVIOR OF AD HOC ROUTING PROTOCOLS IN MULTISERVICE TRAFFIC
Author:	Ali CHOUKRI, Ahmed HABBANI, Mohammed ELKOUTBI
Source:	Journal of Theoretical and Applied Information Technology pp 208 - 213 Vol. 43. No. 2 -- 2012
Abstract	The present paper joins within the framework of research to optimize the Quality of Service (QoS) in the Mobile Ad Hoc Networks (MANET). In this paper, we have studied the impact of real-time VBR (H.263) traffic on the performances (End-to-End Delay, Throughput and Packet Delivery ratio) of routing protocols DSDV (Dynamic Destination-Sequenced Distance-Vector) and AODV (Ad Hoc On-Demand Distance-Vector). By using Random Waypoint mobility model, we have studied the performances of network according to the density of nodes in the first time and according to the mobility in the second time. Experimentally, we have discovered that the proactive DSDV protocol gives good results in high mobility environment.
Keywords	MANET, QoS, VBR, DSDV, AODV
Full Text

Title:	APPLICATION OF CLASSIFICATION ALGORITHMS IN DATA MINING FOR HOTSPOTS OCCURRENCE PREDICTION IN RIAU PROVINCE INDONESIA
Author:	IMAS SUKAESIH SITANGGANG, RAZALI YAAKOB, NORWATI MUSTAPHA, AINUDDIN A N
Source:	Journal of Theoretical and Applied Information Technology pp 214 - 221 Vol. 43. No. 2 -- 2012
Abstract	High fire occurrence in Riau Province, Indonesia has been going on in the recent years with large areas occurring in the peat soil. In this paper a data mining technique namely classification was applied on forest fire data to develop classification models for hotspots occurrence in Riau Province. The models provide characteristics of areas where active fires occurred. We studied physical data including land cover, road, river, city centers, industrial timber plantation, logging concession, peatland depth and peatland types to classify 2693 target objects. Target objects are true alarm data namely hotspots distribution in 2008 and false alarm data which are randomly generated within the areas at least 1 km away from any true alarm data. We applied three classification algorithms that are available in the data mining toolkit Weka 3.6.2: J48 module as Java implementation of C4.5 algorithm, SimpleCart and NaïveBayes. The result shows that the classifier generated from the J48 has highest accuracy i.e. 69.59 % compared to two other algorithms. Our results based on the J48 classifier show that hotspots are predicted to take place in areas that (1) are non logging concession areas, (2) are plantation and dryland forest, and (3) have peatland type: Very deep Hemists/Saprists (> 400 cm). Additionally, hotspot occurrence probability is higher in areas located 10 km from roads, 3 km from rivers and within 5 km to 20 km of city centers where the areas are accessible to humans.
Keywords	Data Mining, Classification Method, Forest Fires, Hotspot, Indonesia
Full Text

Title:	PROBLEM FRAMES ANALYSIS OVER SysML MODEL FOR CRITICAL GOODS TRANSPORTATION MONITORING SYSTEM
Author:	BHUVANESHWARI S, VAIDEKI K J, KUMAR K, MARGRET ANOUNCIA S
Source:	Journal of Theoretical and Applied Information Technology pp 222 - 228 Vol. 43. No. 2 -- 2012
Abstract	The best way to approach requirements analysis is a process of parallel analysis. The designing of any software system starts from its scratch of requirement analysis because requirements are building blocks of a system. SysML tool is the System Modelling Language tool used for the graphical representation of the requirements using Requirements Diagram. Requirements given by the user are the relationships in the real world and application domains but not about the software system or the interface with the software system. These are the basic philosophies of problem frames (PF) approach which is a requirement analysis technique. Here in this paper we discuss about the SysML tool usage on the problem domain given to the analyser and the application of PF approach in decomposing and analysing the requirements to develop the requirements statement which will be given to the design phase to be recursively analysed and the system will be developed. The paper deals with the above mentioned approach to the modelling of requirements of the Critical Goods Transportation Monitoring System that proves to be the best analysis technique of requirements for the mentioned system so far.
Keywords	Requirement Analysis, Problem Frames, Sysml, Requirement Diagram, Problem Diagram
Full Text

Title:	INFORMATION RICHNESS, WEBSITE FEATURE, AND FINANCIAL TRANSPARENCY ON THE LOCAL GOVERNMENT WEBSITE IN INDONESIA
Author:	BUDI HERMANA, AVINANTA TARIGAN, HENNY MEDYAWATI, WIDYA SILFIANTI
Source:	Journal of Theoretical and Applied Information Technology pp 229 - 235 Vol. 43. No. 2 -- 2012
Abstract	Local governments in Indonesia have received greater authority since the enactment of regional autonomy and fiscal decentralization. Most of them are running websites that should play important roles as public information access. This research measured financial information transparency as well as information or feature richness of the websites of 33 provinces, 395 districts and 96 cities. Generally, the result indicates the occurrence of the geographical digital divide between local authorities located in Java Island and those in other islands. Based on the series of two years data collection and measurements, there were no significant improvement on information richness and website features. This indicates that the most websites of local governments in Indonesia have not been fully utilized for public services.
Keywords	E-Government, Digital Divide, Financial Disclosure Index, Feature Index
Full Text

Title:	REAL TIME VISUAL AUTHENTICATION USING FUZZY MOMENTS
Author:	PRADIPTA K DAS, S. C. MANDHATA, 3S.N. PATRO
Source:	Journal of Theoretical and Applied Information Technology pp 236 - 244 Vol. 43. No. 2 -- 2012
Abstract	In this novel paper we propose real time visual authentication based on real time image matching using fuzzy moment descriptors, these descriptors are estimated for three common kinds of image attributes namely edge, shade and mixed range. Generally the methods for matching of digital images by the comparison of the positions of directed edges, shades and mixed-range in the captured image with the existing image present in the Data Base, are often prone to error, due to noise and/or variation in illumination. Since a Fuzzy moment descriptors being less sensitive to noise, so it makes the matching process invariant to the above said external disturbances. Further, the normalization and sorting of the moment vectors keep the matching process invariant to size and rotation of images. So in this paper we have considered the fuzzy moment descriptors for matching of digital images and the implementation of the propose work is done using openCv software package interface with the visual c++ to capture the real time image and convert into the gray image and after that, fuzzy moment descriptors for image matching and authentication.
Keywords	Image Matching, Edges Shades, Mixed Range, Fuzzy Moment Descriptors, Euclidean Distance, Opencv
Full Text

Title:	SURVEY OF SUPERRESOLUTION USING PHASED BASED IMAGE MATCHING
Author:	BUDI SETIYONO, MOCHAMAD HARIADI, MAURIDHI HERY PURNOMO
Source:	Journal of Theoretical and Applied Information Technology pp 245 - 253 Vol. 43. No. 2 -- 2012
Abstract	Superresolution (SR) is a method of enhancing image resolution by combining information from multiple images. Two main processes in superresolution are registration and image reconstruction. Both of these processes greatly affect the quality image of the superresolution. Accurate registration is required to obtain high-resolution image quality. This research propose a collaboration between Phase-Based Image Matching (PBIM) registration, and reconstruction using Structure - Adaptive Normalized convolution algorithm (SANC) and Projection Onto Convex sets algorithm (POCs). PBIM was used to estimate translational registration stage. We used the function fitting around the peak point, to obtain sub pixel accurate shift. The results of this registration were used for reconstruction. Three registration method and two reconstruction algorithms have been tested to obtain the most appropriate collaboration by measuring the value of Peak Signal to Noise Ratio (PSNR). The result showed that the collaboration of PBIM and both reconstruction algorithm, SR with PBIM and POCs have PSNR average of 32.12205, while PSNR average of SR with SANC algorithm was 32.07325. For every collaborative algorithms that have been tested, registration PBIM with function fitting, has an higher average PSNR value than the Keren and Marcel registration.
Keywords	Phased Based Image Matching, Reconstruction, Registration, Superresolution, SANC, POCs
Full Text

Title:	MOTIVATION OF VIRTUAL GOODS TRANSACTIONS BASED ON THE THEORY OF GAMING MOTIVATIONS
Author:	ZHAOHUI LI
Source:	Journal of Theoretical and Applied Information Technology pp 254 - 260 Vol. 43. No. 2 -- 2012
Abstract	In recent years, there is an increasingly growth in the transactions of virtual goods among online game players. Few studies have examined the perceived values of virtual goods and how gaming motivation drives the purchase of virtual goods. In this paper, we took one popular online game “World of Warcraft” as a case study, using structural equation model, and explored the relationship between gaming motivations and virtual goods’ multi-dimensional values, as well as the inter-relationship of multi-dimensional values of virtual goods. Results showed that achievement motivation and discovery motivation had a positive effect on the perceiving of virtual goods’ functional value; self-expression motivation and the perceiving of social value were positively related. Among the multi-dimensional consumption values, the perception of functional values has a weak positive effect on the perception of emotional values; the perception of social values plays as a significant intermediate variable between the perceiving of functional values and emotional values.
Keywords	Virtual Goods, Gaming Motivations, Consumption Values
Full Text

Title:	FAULT FEATURE EXTRACTING FOR ROTATING MACHINERY VIBRATION BASED ON BLIND DECONVOLUTION AND SPECTRAL KURTOSIS
Author:	WEIGUO HUANG, HAIYANG LIU, ZHONGKUI ZHU, ZHIYONG HE
Source:	Journal of Theoretical and Applied Information Technology pp 261 - 266 Vol. 43. No. 2 -- 2012
Abstract	Rotating machinery vibration analysis involves a convolute mixture because of the propagation medium, and the signals recorded by sensors in an industrial application are often disrupted by the environment. Deconvolution is a signal processing method for convolution of vibration sources, spectral kurtosis is a statistical tool which can indicate the presence of series of transients and their locations in the frequency domain in strong noise case. In this paper, we propose an approach for the two characteristics based on blind deconvolution and spectral kurtosis. First the two methods blind deconvolution and spectral kurtosis are reviewed, and then puts forward the combination of the two methods to extract the fault feature from multi-sources convolution and strong noise in rotating machinery vibration, Finally apply the combination method to a bearing failure test, the test results show good performance for extraction of fault features in rotating machinery vibration.
Keywords	Blind Deconvolution, Spectral Kurtosis, Rotating Machinery Vibration
Full Text

Title:	AN IMPROVED TEXT CLASSIFICATION METHOD BASED ON GINI INDEX
Author:	XIAOQIANG JIA, JIANGYAN SUN
Source:	Journal of Theoretical and Applied Information Technology pp 267 - 273 Vol. 43. No. 2 -- 2012
Abstract	In text classification, the purity of the Gini index can be used. When purity value is greater, the characteristic of the information contained in the attribute is higher, and the feature distinguishing capability is stronger. But using the Gini purity formula on feature weight, the classification result is not very good, one of the main reasons is those rare words only appearing in one category and not appearing in other categories can not be strictly differentiated. In order to solve this problem, On the basis of Gini index, an improved feature weight method based on Gini index has proposed. By introducing the approximation quality of features term in the categories, according to the category distinguishing ability adjust term weight, using the purity formula feature weight comparison, the above problem is well solved, which can effectively improve the performance of text classification. The experiments have verified the feasibility of the proposed method.
Keywords	Gini Index, Approximation Quality, Term Weigh, Text Classification
Full Text

Title:	AVERAGE SPECTRAL EFFICIENCY OF CSI-ASSISTED MULTI-RELAY AMPLIFY-AND-FORWARD COOPERATIVE COMMUNICATION SCHEME
Author:	LIXIN LI, NAN QI, HUISHENG ZHANG, MENG ZHU
Source:	Journal of Theoretical and Applied Information Technology pp 274 - 278 Vol. 43. No. 2 -- 2012
Abstract	This paper studies the multiple relays amplify-and-forward (AF) cooperative communication system with adaptive continuous (ACR) and discrete rate (ADR) M-QAM modulation in Rayleigh fading channel. The average spectral efficiency of the fixed ACR, ADR M-QAM schemes with various number of relays are researched and analyzed. We first obtain quantitative spectral efficiency loss for the fixed rate M-QAM scheme resulting from the increasing number of the relay nodes. It is verified that under certain BER level, the adaptive M-QAM scheme achieves significant efficiency gains over the non-adaptive one. And, the more constellation size is available in ADR M-QAM, the closer the BER approaches to the target level and the more potentialities of the spectral efficiency can be realized.
Keywords	Amplify-and-Forward Cooperative Communication System, Adaptive Modulation, Average Spectral Efficiency
Full Text

Title:	ASSESSMENT OF WIRELESS COMMUNICATION QUALITY BASED ON INDUSTRIAL NOISE
Author:	JUN WANG
Source:	Journal of Theoretical and Applied Information Technology pp 279 - 284 Vol. 43. No. 2 -- 2012
Abstract	Owing to noise in industrial environment, wireless signal is seriously interfered in industrial environment, and wireless communication quality will be affected seriously. Requirements of industrial wireless network and the wireless network standards are analyzed in this paper. The wireless communication quality model of IEEE 802.15.4 and IEEE802.11b is deduced. The simulation system based on this wireless communication quality model is established by Matlab. The simulation presents and compares communication quality of IEEE 802.15.4 and IEEE802.11b at the industrial noise range (typically between 20dB and 80 dB) and security level (IEC61508 defined standard- SIL1, SIL2 and SIL3)
Keywords	Communication Quality, Wireless Communication, Industrial Noise, IEC61508
Full Text

Title:	GEOMETRICAL FEATURES FOR MULTICLASS VEHICLE TYPE RECOGNITION USING MLP NETWORK
Author:	BASSAM DAYA, Al HUSSAIN AKOUM, SAMIA BAHLAK
Source:	Journal of Theoretical and Applied Information Technology pp 285 - 294 Vol. 43. No. 2 -- 2012
Abstract	Vision-based vehicle type (model) recognition is a hot topic in the domain of intelligent transportation systems. But it is difficult to recognize the exact type (model) of a vehicle due to the influence of some factors, for example, the view variations. In this paper, we present a robust system of recognition of the type (model) of vehicles from several frontal vehicle images. We use the height of the number plate as a reference to eliminate the zoom effect. From this reference, we extract several geometrical parameters (distance, surface, ratio …) of decision, on bases of images taken in real conditions, were tested and analyzed. Employing this model, a distance error process allows measuring the similarity between an input instance and the data bases classes. The fusion of the three classifiers using the artificial neural networks (ANN) for each parameter allows showing the effectiveness of our process for the identification of the type of vehicle. We obtain taking a threshold of 90% a False Identification Ratio (FIR) of 1.6% and a False Rejection Ratio (FRR) of 3%. The network was tested and it was capable of classifying the type of vehicle of the taken database and a classification ratio of about 97% was obtained. And the minimized error percentages constitute an additional factor for the success of the verification system. According to these parameters, the rate of identification can reach 97% on a basis of a realistic data set of over 1000 images made up of 12 models and 9 classes of the type of vehicles. The results show that this approach achieves very high levels of both identification and verification performance.
Keywords	Vehicle Type, System Recognition, Image Processing, Features Extraction, Geometrical Parameters, Neural Networks, Fusion Process.
Full Text

Title:	AN APPROACH ON PERFORMANCE COMPARISON BETWEEN AUTOMOTIVE PASSIVE SUSPENSION AND ACTIVE SUSPENSION SYSTEM (PID CONTROLLER) USING MATLAB/SIMULINK
Author:	SOUD FARHAN CHOUDHURY , DR. M. A. RASHID SARKAR
Source:	Journal of Theoretical and Applied Information Technology pp 295 - 300 Vol. 43. No. 2 -- 2012
Abstract	Suspension system design is a challenging task for the automobile designers in view of multiple control parameters, complex objectives and stochastic disturbances. For vehicle, it is always challenging to maintain simultaneously a high standard of ride, handling and body attitude control under all driving conditions. The problems stem from the wide range of operating conditions created by varying road conditions, vehicle speeds, and loads. A good vehicle suspension system should have satisfactory road holding ability, while still providing comfort when riding over bumps and holes in the road. When the vehicle is experiencing any road disturbance such as pot holes, cracks, speed breaker and uneven pavement, the vehicle body should not have large oscillations, rather the oscillations should dissipate quickly. This research is carried out to study the performance of two basic suspension systems with a different approach, passive and active suspension system. For the simplicity, mathematical modeling is done by assuming 2 degree of freedom (2 DOF) system. Quarter car model is used to simplify the system. To analyze the model, simulation software MATLAB/SIMULINK is used. Results show that active suspension system has better ability to reduce the pick overshoot of sprung mass and also provides better damping quality than passive suspension system.
Keywords	Active Suspension system, Passive Suspension system, PID controller, Quarter car model, Matlab/Simulink
Full Text

Title:	A META-MODEL FOR THE SPATIAL CAPABILITY ARCHITECTURE
Author:	JOSEF MIKLOŠ
Source:	Journal of Theoretical and Applied Information Technology pp 301 - 305 Vol. 43. No. 2 -- 2012
Abstract	It is observed that most initiatives in the field of spatial (geospatial) information, applications and technologies are tackled without a holistic view of the enterprise and its organizational framework within which these initiatives are to be implemented, resulting in many difficulties. The solution to this problem is to utilize the routines that are common in enterprise architecture management in order to bring in the necessary level of transparency, manageability, and synergy across the complex environment of a corporation because architecting an enterprise is about understanding how things work together and how to make changes of architecture feasible and this is a prerequisite for every successful business change. For better understanding of the spatial capability one needs to realize what the architecture of the capability is and how it can be documented in order to communicate the architecture description clearly and allow one to establish a baseline for further work. The first step towards clarifying this is to describe the fundamental structure of how the capability is delivered and executed in the organization and thus the objective of this paper is to define a meta-model for the spatial capability architecture. Resources and method of meta-model development are documented as well as notation used to express the meta-model. Further work should address area of spatial capability development and definition of common spatial capabilities for reference purpose. The defined meta-model is a part of the framework which is intended to support spatial capability development.
Keywords	Architecture, Capability, Framework, Management, Meta-model, Spatial
Full Text

Title:	SOFTWARE TEST AUTOMATION - THE GROUND REALITIES REALIZED
Author:	PRAKASH.V, SENTHIL ANAND .N BHAVANI.R
Source:	Journal of Theoretical and Applied Information Technology pp 306 - 312 Vol. 43. No. 2 -- 2012
Abstract	Test automation has always been looked upon as a magic formula to improve the quality processes of products/applications right from the day when first commercial product/application was made. But when one actually starts automating the testing, the ground realities are realized. Defining the scope of automation and selection of right tool for automation are over-whelming in the first place. And even if these teething troubles are overcome, the automation tool developed is usually inefficient as lots of important considerations are over-looked. This paper aims at the following it suggest the solution of the above mentioned issues, It suggests best practices to be followed while doing the automation. It also aims at organizations who consider automating their testing process. It analyses the key factors to be considered in selecting a tool for automation.
Keywords	Testing, Software testing, Test Automation
Full Text

Title:	CEMENT PLANT SIMULATION AND DYNAMIC DATA COMMUNICATION USING NI LABVIEW AND MATRIKON OPC
Author:	ATUL, SNEHA GHOSH, S. BALAMURUGAN
Source:	Journal of Theoretical and Applied Information Technology pp 313 - 320 Vol. 43. No. 2 -- 2012
Abstract	This paper presents a cement plant simulator designed on LabVIEW platform. It generates process data and electrical parameters for all the lines of workshops in the cement industry. The simulated design is universal and applicable to all kinds of cement plants. Client-server architecture is established and the generated parameters are communicated to Matrikon OPC client. Single Line Diagram of the electrical distribution of cement plant has also been developed using MS Visio. An exclusive user interface has been designed to monitor and analyze the electrical parameters in detail. The KWh/tonne consumption and % energy consumed by the workshops have been observed and tabulated. Also, all the process and electrical data are exported to NI Citadel Database. So, in a single design, all the relevant key performance indicators (KPI’s) for the process are calculated and displayed.
Keywords	Process Data, Electrical Parameters, Kwh/Tonne Consumption, OPC, Client-Server, Single Line Diagram, KPI.
Full Text

Title:	FUZZY POWER CONTROL FOR DOUBLY FED INDUCTION GENERATOR BASED WIND FARM
Author:	1MOHAMED HILAL, YOUSSEF ERRAMI, MOHAMED BENCHAGRA
Source:	Journal of Theoretical and Applied Information Technology pp 321 - 330 Vol. 43. No. 2 -- 2012
Abstract	This paper expands a nonlinear fuzzy based control strategy applied to a variable speed Wind Energy Conversion System WECS founded on Doubly Fed Induction Generator DFIG. As power network assists a high wind energy emergence, the studied WECS represents a wind farm WF of 500MW connected to the Grid and dispatched in such a way that it can contribute to grid frequency control with delivering a stable output equaling the power setpoint and keep a reserve for eventual increasing. Basing on the rotor currents maneuvering, the active power control is achieved independently to reactive power being adjustable according to grid request. The system is modeled using PSCAD/EMTDC linked to MATLAB for the fuzzy logic controllers FLC implementation. FLC are based on Takagi-Sugeno Fuzzy Logic Controller TSFC. Despite the wind speed fluctuations, results show a stable output following carefully a gradual change in power reference. Moreover, a THD analysis confirms the best quality of grid injected power.
Keywords	Doubly Fed Induction Generator (DFIG), Fuzzy Logic Controller (FLC), Field Oriented Control (FOC), Wind Energy Conversion System (WECS)
Full Text