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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
April 2013 | Vol. 50 No.1

Title:	PLANT GROWTH MODELING OF ZINNIA ELEGANS JACQ USING FUZZY MAMDANI AND L-SYSTEM APPROACH WITH MATHEMATICA
Author:	SUHARTONO, MOCHAMMAD HARIADI, MAURIDHI HERY PURNOMO
Abstract:	Modeling of the plant growth can be visualized using the approach of Lindenmayer System (L-System). This L-System models the plants growth by following the production rules, which are the combination of grammar and mathematic formulae. In this paper, we propose the use of fuzzy mamdani, to model the plant growth based on the current environment condition. The varied amount of fertilizer, both organic and inorganic fertilizer, is used as the input to the Fuzzy Mamdani. The output of the Fuzzy Mamdani is used as the input to the zinnia plant growth model. The novelty of this research is the using Fuzzy Mamdani to model the zinnia plant growth with L-System methode. In this research, the dynamic plant model of zinnia variant has been developed using Fuzzy Mamdani to model the zinnia plant growth. This model has been simulated on computer software. This model shows the response of the amount of fertilizer towards the zinnia height virtually and this response is then simulated. The best height is when the plant is given 100% organic and 75% inorganic fertilizers.
Keywords:	L-System, Modeling, Fuzzy Mamdani, Plant Growth, Fertilizer
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	DESIGN OF NICHE PSO REDUCE ALGORITHM FOR HYBRID ATTRIBUTES BASED ON NEIGHBORHOOD ROUGH SETS
Author:	BAITING ZHAO, XIAOFEN JIA
Abstract:	A reduce algorithm based on the neighborhood granulation and niche Particle Swarm Optimization (PSO) algorithm is proposed for the reduction of the real decision system with numerical attributes. In this scheme, a rough model is used based on the neighborhood equivalence. The indiscernibility relation is measured by the neighborhood relation, and the universe spaces are approximated by the neighborhood information granules. The use of the niche technology can avoid the preconvergence of the PSO. The select of fitness function and the adaptive across probability are designed, and the reduction algorithm is presented as well. Furthermore, the dependency function is used to evaluate the significance of the numerical attributes. Experimental results demonstrate the validity and feasibility of the proposed algorithm, in application to a classical data set and four University of California at Irvine (UCI) machine learning databases.
Keywords:	Rough Sets(RS); Reduce; Neighborhood Granulation(NT); Niche Technology(NT); Partical Swarm Optimization(PSO)
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	EVALUATION OF SIGNAL PREPROCESSING METHODS FOR THE DETECTION OF ENDOMETRIAL CACER BY USING NEAR INFRARED SPECTROSCOPY
Author:	Huanshuang Niu, Zhuoyong Zhang, Yuhong Xiang, Liting Zhao, Fan Yang
Abstract:	Several signal preprocessing methods used to correct near-infrared (NIR) spectra of different endometrial tissue sections have been evaluated in this paper. The real tissues sections of normal, hyperplasia, and malignant samples were used. To extract useful information and to remove the interference and background, some preprocessing methods have been compared. Particularly, spectra of the tissues section samples were assembled together to construct a 2D data matrix, so that the 2D wavelet packet transform (WPT) could be used for feature extraction. Partial least squares-discriminant analysis (PLS-DA) was used to distinguish the samples from different classes of disease states and was validated through bootstrapped Latin partition. The results of PLS-DA demonstrate that 2D WPT was the best preprocessing method among those investigated. With the decomposition level of 2 WPT, the accuracies of classification were 98 2%, 99 2%, and 98 3%, for normal, hyperplasia, and malignant classes, respectively. The results demonstrate that NIR spectroscopy combined with 2D WPT preprocessing and proper classification methods could be a rapid, efficient, and novel means of diagnosing endometrial cancer in early stage.
Keywords:	Near-infrared Spectroscopy; Endometrial Cancer; Preprocessing Method; Bootstrapped Latin Partition; Partial Least Squares Discriminant Analysis; WaveletPpacketTtransform
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	IMPROVED THE EXECUTION SPEED OF ECDSA OVER GF(2N) ALGORITHM FOR CONCURRENT COMPUTATION
Author:	A. SAKTHIVEL, R. NEDUNCHEZHIAN
Abstract:	Recently Elliptic Curve Digital Signature Standard (ECDSA) is used for smart card applications and financial transaction applications, because it needs less memory space, low bandwidth, limited power, reuse and portability. So it is more suitable for wireless network applications. Normally it is implemented in two ways called as ECDSA over binary field GF (2n) for hardware applications and ECDSA over prime field GF (p) for software applications. It has two main computations. One is point addition and another point multiplication. In these operations, the point multiplication takes more execution time than point addition. Because the latency time of point multiplication is higher than point addition. So it is necessary to find out optimized implementation for point multiplication. This article suggests a technique for point multiplication over GF(2n) to increase the speed of the execution using concurrent computation.
Keywords:	ECDSA, Binary Field, Time complexity, latency time, parallel computation.
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	EXPERIMENTS WITH ARABIC TOPIC DETECTION
Author:	RIM KOULALI, ABDELOUAFI MEZIANE
Abstract:	The continuous growth of information on the Internet and the availability of a large mass of electronic documents in Arabic language make Natural Language processing (NLP) tasks play an important role to enhance and facilitate the access and the exploitation of information. Among available NLP tasks, we are interested in Arabic Topic Detection. Our objective is to realize an indexing system capable of identifying the general topics discussed in Arabic unvowelized documents. The proposed topic detection system of Arabic texts is based on Mutual Information for Topic Oriented Vocabulary (TOV) and classification according to Jaccard and adapted TF-IDF indicators. The experimental results are presented in terms of precision, recall and F1 measure evaluating the influence of factors such as: vocabulary length and morphological analysis on Arabic Topic Detection.
Keywords:	Natural language processing (NLP), Topic Detection (TD), Topic Oriented Vocabulary (TOV), Mutual Information (MI), Jaccard Indicator, TF-IDF
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	NOVEL REAL-TIME FPGA-BASED QRS DETECTOR USING ADAPTIVE THRESHOLD WITH THE PREVIOUS SMALLEST PEAK OF ECG SIGNAL
Author:	EL HASSAN EL MIMOUNI, MOHAMMED KARIM
Abstract:	The QRS complex of the ECG signal is the reference point for the most ECG applications. In this paper, we aim to describe the design and the implementation of an embedded system for detection of the QRS complexes in real-time. The design is based on the notorious algorithm of Pan & Tompkins, with a novel simple idea for the decision stage of this algorithm. The implementation uses a circuit of the current trend, i.e. the FPGA, and it is developed with the Xilinx design tool, System Generator for DSP. In the authors’ view, the specific feature, i.e. authenticity and simplicity of the proposed model, is that the threshold value is updated from the previous smallest peak; in addition, the model is entirely designed simply with MCode blocks. The hardware design is tested with five 30 minutes data records obtained from the MIT-BIH Arrhythmia database. Its accuracy exceeds 96%, knowing that four records among the five represent the worst cases in the database. In terms of the resources utilization, our implementation occupies around 30% of the used FPGA device, namely the Xilinx Spartan 3E XC3S500.
Keywords:	Automated Diagnosis, Adaptive Thresholding, ECG, FPGA, DSP, QRS Detection
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	THEORETICAL MODEL OF THE IMPACT OF REGULATION ON THE QUALITY OF SERVICE
Author:	Yonghui CAO
Abstract:	It is important to analyze theoretically the comparative static effects of changing parameters of the regulatory regime such as incentive power and time, and to see how the analysis depends on observability of various dimensions of quality. In this paper, we first review the theoretical literature on quality provision by unregulated and regulated monopolies. Then I present a theoretical model that studies how regulation affects quality provision by the firm. Finally, we also draw conclusions.
Keywords:	Quality of Service, Regulation, Impact
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	A CLUSTERING TECHNIQUE BASED ON ENERGY BALANCING ALGORITHM FOR ROUTING IN WIRELESS SENSOR NETWORKS
Author:	Souad EHLALI, Awatif SAYAH
Abstract:	A Wireless sensor network(WSN) is a collection of large number of tiny sensor nodes deployed in a field to survey the surroundings phenomena. Since, energy consumption is the crucial challenge in those networks, exploiting judiciously the energy reserve of nodes is the key for designing protocols. Distributing the energy dissipated throughout the wireless sensor network in one of used techniques to maximize the service time duration of the WSN. In this paper, we present a hierarchical cluster-based routings protocol for Wireless Sensor Network. The proposed method allows a best distribution of energy load over the whole network nodes, which permits to extend the network lifetime.
Keywords:	Wireless Sensor Networks, Cluster Head Cycling, Energy balancing, Lifetime extension.
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	ROBUST METHOD FOR SELF-CALIBRATION OF CAMERAS HAVING THE VARYING INTRINSIC PARAMETERS
Author:	NABIL EL AKKAD, MOSTAFA MERRAS, ABDERRAHIM SAAIDI, 1KHALID SATORI
Abstract:	In this paper we present a new method of cameras self-calibration having the varying intrinsic parameters, by an unknown planar scene, and we demonstrate that the estimation of these parameters can be made from three matches between two images, which shows the importance of our approach at minimizing constraints on the self-calibration system (on the one hand, the cameras are characterized by varying intrinsic parameters, and on the other hand the use of only two images to estimate these parameters). The main idea of this method is based on the formulation of a non-linear cost function from the relationship between three matches which are the projection of three points representing vertices of parallelogram, and the relationship between the images of the absolute conic of the two images to estimate the intrinsic parameters of the different cameras. The performance of our approach in terms of accuracy and convergence is shown by the experimental results and the simulations realized.
Keywords:	Control Points, Matching, Homography, Self-Calibration, Varying Intrinsic Parameters, Non-Linear Optimization.
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	VOIP APPLICATIONS OVER MANET: CODEC PERFORMANCE ENHANCEMENT BY TUNING ROUTING PROTOCOL PARAMETERS
Author:	S. El Brak, M. Bouhorma, M. El Brak, A.A. Boudhir
Abstract:	Voice over Internet Protocol (VoIP) may provide good services through Mobile Ad hoc Networks (MANets) platform. It may cover many application scenarios range from safety to comfort related services. However, these networks introduce many challenges for supporting voice with QoS requirements. In this study, we take the first step in addressing the practical issues related to deploying voice call services over MANet. The approach is based on voice streaming between nodes rely on multi-hop by means of simulation. For this task, a performance evaluation of various voice codecs and its impact on quality of service metrics will be analyzed. Moreover, we study the impact of routing protocol parameter settings on codecs performance. The quality of the voice transmission, using different codecs, is measured and presented in terms of both network and user level metrics. This performance evaluation showed that selecting codec combined with tuning routing parameters, lead to optimal call quality.
Keywords:	MANet, VoIP, QoS, Codecs, Tuning OLSR, ns-2.
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	THE VISUAL QUANTITATIVE ANALYSIS AND EMPIRICAL RESEARCH OF COMMERCIAL PEDESTRIAN STREETSCAPE
Author:	HAN JUNWEI
Abstract:	Commercial pedestrian streetscape is a corridor with highly artificial visualization, tending to be more rich and diverse as the business center is gathering gradually. To optimize streetscape design and evaluation, it is necessary to propose a measurable quantitative index of landscape visual complexity. In this paper, the visual entropy has been introduced to measure the visual complexity of commercial pedestrian streetscape, the data of which have been calculated by means of MATLAB digital image processing module. And the data have been correlatively analyzed with the evaluation conclusions of a group of interviewers (105 people) by SPSS analysis software. The analysis has indicated a significant correlation between visual entropy and evaluation conclusions, so the visual entropy can be used as a quantitative index for evaluating commercial pedestrian streetscape visual complexity.
Keywords:	Commercial Pedestrian Streetscape;Visual Entropy;Correlation
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	SNOW SIMULATION IN TRANSPARENT FORM BASED ON DIRECTX
Author:	SONG XING-SHEN, QUAN JI-CHENG, ZHAO XIU-YING, WANG YU
Abstract:	Simulating the scenery of climate environment can consumedly enhance the reality of 3D GIS, which has been widely used in computer games, movies and visual simulation system, but until now there hasn’t been one effective solution to realize simulating climate environment when cruising the terrain in 3D GIS. In this paper, a simple method of climate environment emulating in transparent form based on DirectX is promoted. The basic concept of this method is imitating snowing by applying particle system, then updating the form using the graphics rendered and vitrifying the form utilizing Windows API. The result of the simulation shows that the method in this paper is simple to implement and can satisfy the requirement of real-time and reality.
Keywords:	Particle System, Snow Simulation, Transparent Form
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	BUSINESS INTELLIGENCE ARCHITECTURE BASED ON INTERNET OF THINGS
Author:	HAN MEI, ZHANGHANG
Abstract:	On the basis of the analysis of the operating characteristics of new intelligent network - Internet of things, the paper holds that the combination of the Internet of things and cloud computing is the design to cope with massive data in the future. The core of business intelligence lies in data warehousing whose rich data source is offered by Internet of things and therefore its application ability is greatly expanded .The business intelligence architecture is put forward based on Internet of things.
Keywords:	Internet of Things(IOT）,Cloud Computing, Business Intelligence (BI),Network architecture
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	ROBOT MANIPULATOR USING A VISION-BASED HUMAN–MANIPULATOR INTERFACE
Author:	GUANG-LONG DU, PING ZHANG, XIAO-MIN LU, ZE-LING LI
Abstract:	It is much useful of the unstructured environment which the objects in it are unfamiliar to use human-robot interaction in remote teleoperation of robot manipulator. Traditionally, contacting mechanical devices under the interactive method can restrict the operator’s motion. While camera-based tracking has the benefit of being non-contacting, previous vision-based approaches have used only few degrees of freedom for hand motion and have required hand motions that are unnatural for object manipulation tasks. Here we provide a non-contacting vision based method for robot teleoperation. By tracking by two cameras, we can get the three-dimensional position and orientation of the operator’s hands during the manipulation of the robot. We also proposed the Kalman filter to eliminate the influence of the noise. As the experimental result, our method can let the operator perform manipulating more naturally and intuitively, which laid solid foundation for effective teleoperation of robot.
Keywords:	Robot-Manipulator Interface, Vision, Kalman Filter
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	PROCESS-ORIENTATION DEGREE OF ORGANIZATIONAL CULTURE, KNOWLEDGE SHARING AND KNOWLEDGE MANAGEMENT SUCCESS
Author:	ZHANG CHANGZHENG, WANG SHUO
Abstract:	Available research on the relationship between organizational culture (OC) and knowledge management success (KMS) has never demonstrated two points which are really critical issues in China, one is the specialized effect of process-orientation dimension of OC on KMS, and the other is the mediating role of knowledge sharing between OC and KMS. By adopting methods of logical reasoning and literature review, the paper proposes a conceptual model to analyze effect mechanism of process-orientation dimension of OC on KMS by introducing knowledge sharing as the mediating variable. Both theoretical analysis results, which are derived from the conceptual model, and simulating quasi-empirical results, which are reached by employing methods of correlation analysis, mean comparison and regression analysis, show that process-orientation degree of OC can improve KMS by positively affecting employees’ motives and capability of knowledge sharing, which can both mediate the relationship between process-orientation degree of OC and KMS, but the mediating effect of capability is much higher than that of motives. The novelty of this paper not only lies in originally exploring and confirming the effect of process-orientation degree of OC on KMS, but lies in breaking the black-box of the relationship between the two by introducing and proving knowledge sharing as the mediating variable for the first time. According to the conclusions, when firms carry out knowledge management projects, it is the most important thing to shape process-orientated OC and further improve knowledge sharing activities.
Keywords:	Organizational Culture (OC), Knowledge Management (KM), Knowledge Management Success (KMS), Knowledge Sharing, Process-orientation Degree
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	AN EAP SYLLABUS DESIGN IN THE CONTEXT OF CAI
Author:	TANG TANG
Abstract:	This is an EAP Syllabus Design in the context of CAI (Computer Assisted Instruction) in a specific area: School of Foreign Languages and Cultures, Beijing Wuzi University. EAP writing used to be considered cautious, serious, and uninteresting. In order to design an attractive and efficient syllabus for EAP course in the chosen context, CAI auxiliary teaching method, which has been recommended and encouraged by many scholars in many works, is projected by the author in this essay. Different from traditional teaching pattern only with blackboard, chalks or handouts, CAI can provide language classroom with resourceful materials, various forms and unique presentation. It will bring a new and fresh look to the design of EAP syllabus which is under consideration.
Keywords:	EAP, Syllabus Design, CAI
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	THEORECTICAL STUDY OF PULSE COMPRESSING USING NONLINEAR BIREFRINGENT FIBER WITH THIRD-ORDER DISPERSION COEFFICIENT
Author:	QILIANG LI, XIAOJUN WANG, XIANGHONG TANG, RAN ZENG, MIAO HU
Abstract:	We present the analytical study of using polarizer at the end of nonlinear birefringent fiber to achieve the signal pulse reshape. In this paper, stemming from the coupled nonlinear Schrödinger equation, we use the variational approach (VA) to study the factors which influence the signal pulse’s transmission. The results from the technique indicate that the transmission of pulse relies on the instantaneous intensity, the third-order dispersion coefficient and the initial energy of pulse as well as the angle between the fiber’s principle axe and the polarizer. It has been noticed that, choosing a proper the initial energy of signal pulse, the angle between the polarizer as well as the fiber’s principle axe, one can lead to the higher transmission of the pulse in the central part than in the tails of pulse for realization of all-optical pulse compressing and pulse reshaping.
Keywords:	Nonlinear Birefringent Fiber, Pulse Reshaping, Transmission, Third-Order Dispersion Coefficient
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	A NETWORK CONTROL SYSTEM FOR SCENE ADAPTIVE SEMICONDUCTOR LIGHTING
Author:	QI ZHANG, QINFU QIU, XIONG CHEN
Abstract:	This paper presents a design for intelligent control system of scene adaptive semiconductor lighting. The new design contains the host computer and the terminal in a control network. The lighting effect patterns are edited by the software on the host computer, then the lighting scene data is transported to the terminal through network. The terminal is a sub-controller based on the embedded system which is consisting of the ARM920T architecture processor and FPGA programmable logic devices, to control the lighting effects of LEDs carried on it with DMX512 signal to realize digital light regulating. The control system can be applied to many kinds of semiconductor landscape lighting, such as the surfaces of buildings and indoor hall spaces, while it can realize remote scenery setting and LED screen real-time playing through combination with the lighting effects editing software in the host computer. It will contribute to the lighting control in the future.
Keywords:	Linux Embedded System (LES), Network System (NS), LED Lighting Scenes (LLS), Image processing (IP)
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	AN IMPROVED FAIR GUARD BAND ALLOCATION SCHEME IN COGNITIVE NETWORKS
Author:	SUN YONG, WU XIANG, QIAN JIANSHENG, XU XIAOJU
Abstract:	In this paper, an improved fair dynamic channel algorithm allocation based on guard band scheme is presented. The adoption of the channel strategy in wireless communication has been ensuring the normal communication of important systems, such as coal mine wireless emergency support entity. But future study shows that the secondary users' blocking probability is relatively higher than that of primary user in original 1D Markov states model, which is not conducive to the fairness of network access. Based on deep analysis of model parameters, this paper presents mathematical model of an improved guard channel scheme in wireless communications, simulation results show that users’ access performance has been improved significantly.
Keywords:	Wireless communications, Guard Channel Scheme, Continuous Time of Markov Chain(CTMC)
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	A CURVE TRAFFIC SHAPING METHOD FOR VBR MPEG DIGITAL VIDEO SOURCES
Author:	BIN ZENG, LU YAO, RUI WANG
Abstract:	One of the most important traffic types in the future packet-switch networks is high bandwidth, variable-bit-rate (VBR) video. A key challenge of incorporating VBR video traffic into networks with service guarantees lies in the difficulty of finding an appropriate traffic characterization that captures the dynamics of the source. A simple traffic model, such as leaky bucket, will lead to low network utilization, especially for burst traffic. Both multiple leaky bucket and D-BIND traffic models are more accurate traffic models, but they are too complex to implement the policy function for high-speed network. In this study, we shape the traffic sources by using curve traffic specification. And, we derived the closed form formula of call admission control algorithm and show how to find the appropriate (σ, ρ) class from the σ-ρ curve for the traffic sources. We evaluate our method with a set of 10 minute long MPEG-compressed video traces. In the experiments, the performance is over 1.13 times for σ-ρ curve traffic model to leaky bucket model. And, the network complexity of the proposed scheme is the same as the leaky bucket model.
Keywords:	Traffic Shaping Method, Leaky Bucket Algorithm, Variable-bit-rate Video, Call Admission Control
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	THE FAST ANALYTICAL RESEARCH ON JPEG BITSTREAMS
Author:	JING GUO, SHENGBING CHE, XIAOLI LI
Abstract:	In this paper, JPEG bitstreams has been analysized through its rapid analytical algorithm. Its optimized algorithm which was based on optimized huffman table has been studied. The experimental research shows that optimized bitstreams can save 2.4% - 27.8% size of file. In order to obtain the specific decoding information of each MCU block, the fast positioning method has been proposed. Calculated with some correlation coefficients and the sampling parameters of image, the fast positioning method can get the position information of each MCU block. It can obtain MCU Block decoding information and present each of the MCU chrominance information of image respectively. Through the grid function showed on picture, more specific analysis of each MCU Block decoding information can be presented when the MCU block number has been given.
Keywords:	JPEG Bitstreams, Optimized Huffman Table, MCU Block Decoding Information, Fast Positioning Method
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	CIRCULAR GRATING ECCENTRIC TESTING AND ERROR COMPENSATION FOR ROBOT JOINT USING DOUBLE READING HEAD
Author:	MING CHU, JING-ZHOU SONG, YAN-HENG ZHANG, HAN-XU SUN
Abstract:	The circular grating is used as the measurement standard component in the robot joint-angle test system, however the measurement error is inevitable due to the installation eccentricity. In order to correct the measurement error, both the compensation model and eccentric detection test are needed to be investigated. Firstly, the compensation model about angular error is deduced according to the relationship between the angular error and the eccentric parameters. Secondly, we proposed a method to detect the grating eccentricity and eccentric direction by using double reading head. The eccentric parameters of grating is obtained from the Lissajous plot, which is generated by the composite signals. Finally, the experiment results show that the amended angular accuracy has been greatly improved.
Keywords:	Robot Joint-Angle Measurement, Circular Grating, Error Compensation, Eccentricity Ranging, Eccentric Direction Test
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	INTELLIGENT CONTROL FOR MODEL-FREE ROBOT JOINT WITH DYNAMIC FRICTION USING WAVELET NEURAL NETWORKS
Author:	MING CHU, JING-ZHOU SONG, QING-XUAN JIA, XIN GAO
Abstract:	In this article, an intelligent compensation control algorithm for low-speed robot joint with dynamic friction was proposed based on self-recurrent wavelet neural networks (SRWNN). It is not necessary to predict the dynamic model parameters, and the high-precision compensation of nonlinear friction is realized by using few neurons and iterations through only position feedback. Lyapunov stability analysis results show the bounded convergence of tracking error and network weights. The servo experimental results from a certain type of robot joint show that the positioning accuracy can be greatly improved by introducing the proposed intelligent algorithm.
Keywords:	Model-Free, Friction Compensation, Self-Recurrent Wavelet Neural Networks (SRWNN), Compensation Control
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	KNOWLEDGE-BASED MODULARITY OF CELLULAR NETWORKS IN CELL CYCLE
Author:	YANG YUEYING, LIU DI, MENG JUN
Abstract:	A focal point of network studies is the determination of their communities or modules, which help the functional organization and evolution of networks. Modularity can be considered as a function of a dynamic cellular system which performs complex functions in a living cell. How to identify this valuable knowledge resource to build more reliable modules remains one of the most crucial and challenging problems in Bioinformatics. We propose a state-space model combining temporal topology approach to characterize the spatio-temporal modules of the cell cycle process. Our modules discern not only the functionally related sets of genes that are conditionally activated or repressed across cell cycle process in S.cerevisiae, but also many different solutions which have evolved for assembling the different molecular components at the right time during the cell cycle. The module map generated by this analysis suggests several hypotheses linking biological processes to specific cell cycle conditions.
Keywords:	Cell Cycle, Dynamics, Modules, State-Space Model
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	CLASSIFICATION ALGORITHM OF REGRESSION SUPPORT VECTOR MACHINE AND ITS APPLICATION TO ENHANCE ANTIFREEZE HEAT TRANSFER CAPABILITY IN GROUND SOURCE HEAT PUMP SYSTEM
Author:	Yan Manfu, Wang Jiuhai
Abstract:	To enhance the heat transfer capability of antifreeze mixture in ground source heat pump systems, the paper improved the existing proximal support vector machines [1], constructed a classification algorithm model of regression Support Vector Machine (SVR), and further applied it to a new classification method of mixed antifreeze heat transfer capability on the basis of analyzing antifreeze [2] heat transfer capability of ground source heat pump systems.
Keywords:	Ground Source Heat Pump, Heat Transfer Capability, Classification Algorithm of Regression Support Vector
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	USING SEMI-SUPERVISED CLUSTERING ALGORITHM TO CONSTRUCT THE INTELLIGENT TRANSPORTATION SYSTEM
Author:	WENJUAN TANG, FENGTING ZHENG
Abstract:	Intelligent Transportation is a modern electronic-based IT service-oriented transportation system. The prominent features of the information collection, processing, release, exchange, analysis, use the main line, to provide diversity of services for the traffic participants. Semi-supervised clustering is to use some data on the type of mark or constraints to aid the process of non-supervised clustering. The paper presents using semi-supervised clustering algorithm to construct the intelligent transportation system. The algorithm uses the tag data and constraints to meet the objective function of the clustering results. Experiment results show that the Constrained K-means algorithm can better than Seeded K-means algorithm in building ITS.
Keywords:	Clustering, Intelligent Transportation System, Semi-supervised Clustering
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	RESEARCH ON A HEURISTIC SEARCHING ALGORITHM FOR ENERGY-AWARE ROUTING IN WIRELESS SENSOR NETWORKS
Author:	HONGWEI CHEN, CHUNHUA ZHANG, CHUNZHI WANG
Abstract:	Because cluster-head nodes in wireless sensor networks may be far away from the base station, or there exists many obstacles in deployment environments of wireless sensor networks to affect the data transmission performance, they would consume excessive energy in the process of the massive data transmission, which may lead to their earlier death. To solve this problem, a LEACH-A* algorithm is presented in this paper, which utilizes the distance among cluster-head nodes and their corresponding energy and combines with the heuristic searching algorithm to provide the multi-hop communication mode. It can avoid earlier death of some cluster-head nodes, and shift the energy consumption burden from cluster-head nodes to the whole sensor network, thus to prolong the life cycle of the network and improve the transmission quality.
Keywords:	Wireless Sensor Networks (WSN), LEACH, Heuristic Searching Algorithm, NS2
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	ELECTRONIC IMAGE STABILIZATION ALOGRITHM BASED ON ADAPTIVE MOTION FILTER
Author:	ZHU JUANJUAN, GUO BAOLONG
Abstract:	An electronic image stabilization algorithm is proposed based on improved Sage-Husa adaptive visual smoothing. It uses visual attention features to smooth inter-frame global motions, thus resulting in stabilized sequences. Firstly, corners are detected from reference frame as feature points. Through matching features in current frame, deleting mismatched points and solving motion equations, global motion vectors are generated. Then Sage-Husa adaptive filtering method is described in detail, which corrects the process and observation noise by estimating their statistical property in real time. So, it can improve the filter accuracy greatly and remove camera jitter but retain camera scan simultaneously. Finally each current frame is warped by fast motion compensation in consideration of the linear storage of the image. The experimental results illustrate that the proposed algorithm can stabilize the inter-frame jitter and track the real scene with smooth vision.
Keywords:	Electronic Image Stabilization, Adaptive Motion Filter, Motion Estimation, Fast Motion Compensation
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	A NOVEL NON-FLOATING THERMAL CONVECTION ANGULAR ACCELEROMETER AND INTEGRATED WITH RFID TAG
Author:	JIUM-MING LIN, CHENG-HUNG LIN
Abstract:	In this paper five new ideas are proposed to integrate both an active RFID tag with a non-floating type thermal convection angular accelerometers on a flexible substrate, thus the device becomes a wireless sensor. The most innovative idea is to make it directly on the substrate without creating the grooved chamber of a traditional thermal convection accelerometer, and the device doesn’t use any movable parts, so it is very reliable and easy to make. The second new idea is to apply the engineering plastic such as polyimide, so the thermal conductivity of the new device substrate is much lower than silicon, and it can save much power and very useful in various fields. The third new idea is to use Xe gas in the chamber instead of the previous CO2; the latter can produce oxidation effect to the heater and thermal sensors, while Xe gas will not, so the heater and sensor reliability and life cycle can be increased. Trade-off study for the temperature sensor locations is also made. The sensitivity of the new device is 273/(rad/s2).
Keywords:	Angular Accelerometer, RFID Tag, Flexible Substrate, Thermal Convection, Hemispherical Chamber, Xenon Gas, Carbon Dioxide
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	A DEFORMED CELLULAR AUTOMATON MODEL
Author:	ZHENLIN WEI, WEI HUA
Abstract:	In existing Cellular Automaton (CA) model, the cellular width is not related to vehicular velocity. However, in real condition, at road’s toll station or intersection, the introduced fixed infrastructure or pedestrians moving into vehicle lane will result in the lane narrowing, so limit the passing speed of vehicle. According to this condition, this paper presents a deformed CA model, and makes a primary study on relationship between cellular deformed volume and actual cellular width, vehicle speed and width. Through simulating, we compare the traveling states of vehicle on single lane under three cases respectively without deformation, with and with unfixed deformation. The simulation shows that the limited speed resulted from cellular deformation has obvious impact on the fluency and smoothness of traffic flow, and there is a boundary between congested and free phases at position of deformed cell, however, with the increase of traffic flow density, the deformed cell appears to have less influence on vehicle advance.
Keywords:	Cellular Automaton Model，Deformed Cell，Vehicle Velocity，Perceptive Width
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	SOFTWARE AND HARDWARE PARTITIONING BASED ON GENETIC ALGORITHM
Author:	YUE-MIN WANG
Abstract:	Data stream-based multimedia application is studied and a software/hardware partitioning method is proposed using both flexible granularity mechanism and extended mapping mechanism in this paper. This partitioning method focuses on genetic algorithm (GA), considering flexible granularity mechanism and extended mapping mechanism, designing special genetic coding method--double-link coding structure and corresponding genetic operations, meanwhile, the method makes GA and the solving software/hardware partitioning issue seamlessly connected, and the issue can be perfectly settled under the operation framework of GA. This method can effectively improve the hardware/ software/hardware partitioning quality, which has been proved by experiment.
Keywords:	Multimedia Application, Software/hardware partitioning, Genetic Algorithm (GA)
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	RESEARCH ON 2010 WORLD EXPO ONLINE PAVILIONS GENERAL RANKINGS WITH USER EXPERIENCE
Author:	JIANGPING WAN, HUI ZHANG, YAHUI ZHU
Abstract:	With the development of the Internet and virtual reality technology, 3D websites are born.With Shanghai World Expo online pavilion as research subject, the weight of each indicator is calculated through the Analytic Hierarchy Process (AHP), thus constructs 3D websites quality assessment model, including emotional quality, aesthetic quality, function quality, information quality and technology quality, ten particular online pavilions were general ranked according with the expectation-perception difference of SERVQUAL model.
Keywords:	3D Websites; AHP; Shanghai World Expo Online; SERVQUAL
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	SEMANTIC AND ONTOLOGY DESIGN IN VSIS
Author:	HUAZHU SONG, ABDUL-LATIF KHAMIS, LUO ZHONG
Abstract:	We tried to increase semantic in the visual stock information system. Firstly, the semantic entity-relation model was given after studying the contents in visual stock information system and the hierarchical classification was shown. Then, semantic metadata and visual ontology was designed. For the implementation of VSIS, ontology reuse was considered which included ontology reuse model, the relationships among ontology, database and the user and some agents.
Keywords:	Stock Information System(SIS), Semantic, Ontology, Visual Ontology
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	SHORTER VERIFIER-LOCAL REVOCATION GROUP SIGNATURE BASED ON DTDH ASSUMPTION
Author:	JINGLIANG ZHANG
Abstract:	Membership revocation is an important issue in group signature. Verifier-Local revocation (VLR for short) is an effective method. In VLR group signature, revocation messages are only sent to signature verifiers (as opposed to both signers and verifiers). Consequently there is no need to contact individual signers when some user is revoked. Since signers have no load, VLR group signature schemes are suitable for mobile environments. To decrease the user’s storage load in mobile communication, shortening signature length is an essential requirement at the current research of VLR group signatures. Based on this idea, a new VLR group signature is proposed based on q-SDH assumption and DTDH assumption. Compared with the existing VLR group signatures based on DTDH assumption, the proposed scheme has the shortest signature size which reduces about 25%-54% than those of previous schemes.
Keywords:	Group Signature, Verifier-Local Revocation, DTDH Assumption
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	MAXIMAL PROFIT SERVICE TASK PARTITION AND ALLOCATION IN COMPUTER GRID CONSIDERING SERVICE RELIABILITY AND SECURITY
Author:	SA MENG, YANPING XIANG, HUIJUAN FAN, SHENGJI YU
Abstract:	The paper considers grid computing systems in which the resource management systems (RMS) divides a service tasks into execution blocks (EBs) and sends these blocks to different available resources. The service cost comprises the task execution cost, communication cost and security measures cost and depends on the resources assigned to execute the EBs. The service price is determined according to a fixed tariff. The pricing approach is considered: price based on service time and penalties for service reliability and security failures price depending on service and expected security level. The optimal task partition and distribution should maximize the provider's profit, which is equal to the difference between the service price and its cost for the provider. The paper suggests an algorithm for solving the profit optimization problem. The algorithm is based on the universal generating function technique and on the evolutionary optimization approach. Illustrative examples are presented.
Keywords:	Grid System, Service Price, Service Reliability, Service Security, Service Cost, Subtask Distribution, Universal Generating Function
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	PROJECTION PURSUIT REGRESSION MODEL BASED ON REAL-CODED GENETIC ALGORITHM FOR FLOOD FORECASTION
Author:	YU-FENG LIANG, HONG-WEI ZHOU
Abstract:	Combining the advantages of genetic algorithm (GA) and projection pursuit regression (PPR), this article firstly uses improved Hermit polynomial as the ridge function of projection pursuit regression model. And then adopted the real-coded genetic algorithm to optimize the projection direction, a forecasting model for peak flow of short flood forecasting is presented. Applied the presented model to forecasting the flood of the Wujiang River at Wulong station, and compared with the BP neural network method. Computing results show that, the presented model has a strong advantage of dimensionality reduction adaptability than BP network in dealing with the poor fitting data of one dimension space, the forecasting accuracy is improved, and can be applied in hydrological simulation and forecasting.
Keywords:	Projection Pursuit Regression, Genetic Algorithm, Neural Networks, Flood Forecasting
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	SCENE CLASSIFICATION BASED ON THE CONTEXTUAL SEMANTIC INFORMATION OF IMAGE
Author:	GUANGYU WEN, YAN TANG, MENGDIE WU, ZHIXING HUANG
Abstract:	Scene classification is an important research direction in the computer vision. However, it is not an easy task. We face many serious difficulties and challenges when classifying the nature scenes. A novel approach is proposed to recognize the nature scenes. Based on the traditional Bag of Visual words (BOV) model, the feature field and space field are combined by introducing the Markov Random Field (MRF) when quantifying the image into a collection of unordered visual words. And then the Latent Dirichlet Allocation (LDA) model is applied to learn the topic distribution of scenes. At last, the Support Vector Machine (SVM) is used to build a classifier in order to categorize a new image. The experimental results on the dataset of 15 nature scenes demonstrate that the introduction of the contextual semantic information on the basis of the traditional method can improve the classification performance.
Keywords:	Scene Classification, Markov Random Field, LDA, Bag of Visual Words
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	IMAGE RETRIEVAL USING MUTUAL INFORMATION
Author:	HOU YUANYUAN, FAN XUNLI, LI JIANGHONG
Abstract:	In this paper, we study an information theoretic approach to image similarity measurement for content-base image retrieval. In this novel scheme, similarities are measured by the amount of information the images contained about one another – mutual information (MI). The given approach is based on the premise that two similar images should have high mutual information, or equivalently, the querying image should convey high information about those similar to it. The method first generates a set of statistically representative visual patterns and uses the distributions of these patterns as images content descriptors. To measure the similarity of two images, we develop a method to compute the mutual information between their content descriptors. Two images with larger descriptor mutual information are regarded as more similar. We present experimental results, which demonstrate that mutual information is a more effective image similarity measure than those have been used in the literature such as Kullback-Leibler divergence and L2 norms.
Keywords:	Mutual Information(MI), Image Retrieval, Kullback-Leibler Divergence(KLD), Entropy, Content-based Image Indexing and Retrieval(CBIR)
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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Title:	CLASSIFICATION OF AURORA SERIES IMAGE BASED ON EIGENVALUE-SCALING KERNEL FISHER DISCRIMINANT ANALYSIS AND KLT
Author:	SHAN LU, LICHENG JIAO, JIAJI WU, XIAOZHENG DENG
Abstract:	Aurora is the typical ionosphere track generated by the interaction of solar wind and magnetosphere. This paper proposed a method based on eigenvalue-scaling kernel fisher discriminant analysis and Karhunen-Loeve Transform (KLT) to take advantage of interband correlation between aurora images to detect the change of aurora in serial time. Conventional classification algorithms are incapable of attaining the desired classification accuracy, and the feature of redundancy of images in a close time sequence is not considered. To solve the problems, we first apply KLT to reduce the spectral redundancies and wavelet transform to extract eigenvalues of the spatial domain. Then we employ eigenvalue-scaling kernel fisher discriminant analysis which is a modified kernel fisher discriminant analysis to realize the desired classification accuracy. Experiments carry out on time series image pointed out the effectiveness of the presented technique, which results in an increase of the classiﬁcation accuracy with respect to conventional algorithms.
Keywords:	Aurora Series Image, Eigenvalue-Scaling Kernel Fisher Discriminant Analysis, Classification, Decorrelation
Source:	Journal of Theoretical and Applied Information Technology April 2013 -- Vol. 50. No. 1 -- 2013
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