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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
March 2013 | Vol. 49 No.3

Title:	NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN
Author:	NURI JAZULI KAMARUDIN, NOR FAZLIDA MOHD SANI, RODZIAH ATAN,NORAINI CHE PA
Abstract:	Model transformation (MT) has become an important concern in Software Engineering [1], because it is related to system design. Model transformation can be used in many different application scenarios, for instance, to provide interoperability between models of different size and complexity [2]. Traditionally, model transformations are done for purposes such as code generation, refinement, and refactoring [3]. Currently, there are researches on Model Transformation from Requirement to Use Case diagram, Use Case description to Activity diagram and Use Case to Sequence Diagram and many more. However, the research is based on only one specific output and not comprehensive as it should be because it only converts the requirement into one specific Unified Modeling Language (UML) diagram at a time. Transformation model need one important approach, which is the requirement traceability in order to trace the keywords as input before automatically converted into UML diagram. In this paper, we propose an approach and tool to transform the requirement into UML model that are Use Case diagram and Activity diagram since there are still not exist the transformation which is required from requirement into behavioral UML diagram called RETRANS. It is different from the existing program because this tool will convert the requirement into two different UML diagrams at a time which is not provided by the existing tool.. We have also come out with a framework as the main guidance for developing this project.
Keywords:	Model transformation (MT), UML model, Requirement traceability
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	ADAPTIVE FUZZY SLIDING MODE CONTROL FOR X-Z INVERTED PENDULUM
Author:	HENG LIU
Abstract:	X–Z inverted pendulum is a new kind of inverted pendulum and it can move with the combination of the vertical and horizontal forces. In this paper, the control problem of X-Z inverted pendulum with system uncertainties is addressed, and a pair of decoupled adaptive fuzzy sliding mode control method is proposed. The fuzzy logic system is employed to approximate the system uncertainties as well as the complicated intermediate control functions. For updating the parameter of the fuzzy system, a proportional-integral adaptation law is proposed. Finally, simulation studies are carried out to show the stabilization of the X-Z inverted pendulum under the proposed control method.
Keywords:	Adaptive Fuzzy Control (AFC), Sliding Mode Control (SMC), X-Z Inverted Pendulum
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	SHEARLET-BASED INVERSE HALFTONING
Author:	CHENGZHI DENG, WEI TIAN, SAIFENG HU, 1YAN LI
Abstract:	Under the linear approximation model for error diffusion halftoning, a shearlet-based inverse halftoning (SIH) algorithm is proposed. The SIH algorithm performs inverse halftoning by first inverting the model-specified convolution operator and then reducing the residual color noise using scalar shearlet-domain thresholding. The optimal thresholds are derived by using the maximum a posteriori rule. Experimental results demonstrate that SIH algorithm is competitive with state-of-the-art classical inverse techniques in peak signal-to-noise ratio (PSNR) sense. And the SIH algorithm also provides good visual quality.
Keywords:	Error diffusion, inverse halftoning, shearlet transform, maximum a posteriori rule
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	HYBRID APPROACH FOR ENERGY OPTIMIZATION IN CLUSTER BASED WSN USING ENERGY BALANCING CLUSTERING PROTOCOL
Author:	T.SHANKAR, Dr.S.SHANMUGAVEL
Abstract:	In recent times, the technology of wireless sensor network has a great impact on technical fields like wireless communication, information technology, electrical etc. However the major problem faced in this technology is that the sensor nodes run out of energy very quickly. Many routing protocols have been proposed to solve this problem mainly focussing on the accomplishment of minimizing the energy consumption in the sensor system. In this paper, two hierarchical protocols cluster based and chain based protocol for WSNs have been discussed. In both type of protocols some special nodes called cluster heads/chain heads acts as leader for a group of nodes. Each head collects data from its member nodes and forward it to the sink (base station). Here consider a homogeneous network where all the nodes in the network have uniform and limited resource energy. So it is essential to avoid quick depletion of head nodes. Hence every node in the network takes their turn to act as head but only for a limited period of time. Energy saving in these approaches can be obtained by cluster formation, head election and data aggregation at the head nodes. The proposed Energy Balancing Clustering Protocol (EBCP) which uses Bacterial Foraging Optimization Algorithm in electing the cluster head. The simulation results shows that the proposed protocol extends the life time of the network when compared with Energy Efficient Unequal Clustering (EEUC)and PEGASIS with Double Cluster Head technique(PDCH).
Keywords:	BFO, Cluster Head, PEGASIS, Static clustering, WSN
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	CLASSIFICATION OF ECG BEATS USING FEATURES FROM TWO-STAGE TWO-BAND WAVELET DECOMPOSITION
Author:	U.CHANDRASEKHAR, LAXMI DHAR DWIVEDI, CHIRANJI LAL CHOWDHARY
Abstract:	The paper focuses on computer aided diagnosis of heart diseases. We extracted QRS complexes of ECG signals from different patients. These ECG signals were decomposed using discrete wavelet transform. Using six different features of ECG signals were able to discriminate and classify six types of heart beats. Three of the features were statistically calculated from decomposed sub band signal. Two more features are taken as AC power and instantaneous RR interval of original signal. The effects of two wavelet decomposition structures, the two-stage two-band and the two-stage full binary decomposition structures, in the recognition of ECG beat types are studied. Either ANN or PNN are found to be useful to classify the features. Results show that two stage two band decomposition is sufficient and we can get very good accuracy by using just 11 features. The reason seems to be that most of the energy is concentrated in the Lower sub bands of the signals. The Higher frequency components do not have any notable information about diseases observable with ECG beat signals.
Keywords:	ECG , P-QRS-T waves, Wavelets, feature extraction, PNN
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM BASED CONTROLLER FOR HIGH PERFORMANCE BLDC MOTOR USING SOFT SWITCHING INVERTER
Author:	N. MURUGANANTHAM, Dr. S.PALANI
Abstract:	Permanent Magnet Brushless DC (PMBLDC) motor drives are increasingly popular in industrial applications due to rapid progress of technologies in power electronics and the growing demand for energy saving. The increasing demand of energy saving from society is the external force for the development of PMBLDC motor drives. It is however driven by a hard-switching pulse width modulation (PWM) inverter, which has low switching frequency, high switching loss, high electro-magnetic interference (EMI), high acoustic noise and low efficiency, etc. To solve these problems of the hard-switching inverter, many soft-switching inverters have been designed in the past. Unfortunately, high device voltage stress, large dc link voltage ripples, complex control scheme and so on are noticed in the existing soft-switching inverters. This paper presents the comparative analysis between conventional PI, fuzzy, hybrid fuzzy-PI, GA-PI and adaptive neuro-fuzzy inference system (ANFIS) controller based soft switching inverter using transformer, which can generate dc link voltage notches during chopping which minimize the drawbacks of existing soft-switching. Hence all switches work in zero-voltage switching condition. The performance of the hybrid intelligent controllers is compared with conventional PI controller. The simulation results show that the ANFIS controller renders a better transient response than the one obtained using conventional PI controller with negligible overshoot, smaller settling time and rise time. Further the ANFIS controller provides low torque ripples and high starting torque. The simulation results are presented to show the superiority of the proposed hybrid intelligent controllers based soft switching inverter.
Keywords:	Brushless DC Motor, PI Controller, Fuzzy Logic Controller, Hybrid Fuzzy-PI Controller, GA- PI Controller, ANFIS Controller, Zero-Voltage Switching, Zero-Current Switching
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	A SCALABLE SEMANTIC PEER-TO-PEER SYSTEM
Author:	MOHAMMED AMMARI, DALILA CHIADMI
Abstract:	Peer-to-peer computing is emerging as a new distributed computing paradigm for many novel applications that involve exchange of information among a large number of peers with little centralized coordination. Scalability is without doubt the foremost requirement for a peer-to-peer system. To obtain a high factor of scalability, we partition network search space using a global ontology. Our proposed system takes the form of a semantic layer that can be superimposed on top of any P2P infrastructure. This layer is subdivided as semantic categories through a Hilbert curve which has the merit of good preservation of locality. We choose HyperCup structure to support semantic category in order to increase fault tolerance and overcome bottleneck problem. HyperCup was also selected, because of its efficient broadcast algorithm. Classification within a semantic category will be conducted through multidimensional data analysis. The classification process will be recursively repeated with ontology refinement. We use digital libraries to illustrate our system, and highlight the proposed techniques.
Keywords:	P2P, ontology, HyperCup, Semantic classification, multidimensional data analysis, Correspondence analysis.
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	STUDY ON A PIPELINE TENSION DETECTION METHOD FOR AERO-PIPELINE SPRAYING SYSTEM IN PADDY FIELD
Author:	ZHIYAN ZHOU, JUNQI MIAO, WANG YUAN, XIWEN LUO
Abstract:	Aero-Pipeline Spraying System is a special ultra-working-width precision pesticide sprayer, which can broaden working scope, improve working efficiency, precisely transfer feed liquid to farm field that need to be sprayed, spray pesticides to crops in a very close range, and then improve working precision and reduce the losses of liquid materials such as pesticides. During the ultra-working-width spraying operations in paddy fields, the suspension spraying aero-pipeline unable to automatically retractable, are prone to sagging and winding, then it affect the operational efficiency and spraying effect. The Aero-Pipeline Tension Detection System (APTDS) is the essential part of the ultra-working-width paddy field pesticide sprayer. The pipeline can maintain a tension state through an automatic winding system based on the APTDS. It is very useful to expand the working width and to improve the working efficiency of the ultra-working-width paddy field pesticide sprayer. RESULTS: An APTDS based on the C8051F040 MCU was developed, include the power system, the tension sensors, the conditioning circuits for the sensors and the motor control system. The tension sensors were calibrated by a linear equation. The program of the tension detection and the motor control system were developed by programming language C51. The results showed that the average errors of the tension detection used by the APTDS was about 1.8N, the standard deviation was about 0.6548N, and the response time from the tension detection to the operation of the automatic retracting was about 100ms. CONCLUSIONS: The presented APTDS based on C8051F040 single chip microcomputer basically satisfies the ultra-working-width spraying requirements of the paddy field pesticide sprayer.
Keywords:	Ultra-Working-Width, Paddy Field, Aero-Pipeline, Sprayer, Tension Detection
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	A COMPREHENSIVE FRAMEWORK FOR MANAGING CONFLICTS/ANOMALIES BETWEEN XACML POLICIES: MATHEMATICAL BASIS AND ARCHITECTURE
Author:	MOHAMED YAHIAOUI, AHMED ZINEDINE, MOSTAFA HARTI
Abstract:	In this work we address the problem of detection and resolution of conflicts/anomalies between XACML (eXtensible Access Control Markup Language) policies of access control. We mean here by conflict/Anomaly the case where several policies give conflicting answers (deny, allow) to a same access request. Indeed, this problem is foreseeable in access control systems based on policies in general. We give more attention to the mathematical formalism of the problem. We introduce the notion of the canonical representation of the query space. This is a partition of the query space formed by authorization classes. Each authorization class regroups queries that are intercepted by the same policies. This classification provides a natural way to handle interferences between policy targets (in other words conflicts/anomalies). Then we bring the study of the problem from the whole query space to elements of its canonical representation. The final result of this work is a Framework for detection and resolution of conflicts/anomalies between XACML policies. This Framework, which is located in the PAP (Policy Administration Point), is responsible for generating a conflicts-free representation from the initially provided policies. This representation is dynamically maintained and updated by the Framework following the addition, deletion or modification of policies.
Keywords:	Access Control; XACML; Policy; Anomaly; Conflict; Anomaly Detection And Resolution; FIA Algebra; Canonical Representation
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	MOTION ESTIMATION BASED VIDEO STABILIZATION FOR OLD ANIMATION VIDEO USING WAVELET TRANSFORM
Author:	DWI RATNA SULISTYANINGRUM, MOCHAMAD HARIADI, MAURIDHI HERY PURNOMO
Abstract:	Video stabilization is one of the important techniques in video restoration researches. Restoration of visual quality in old animation video is necessary due to some artefacts occur since the making of the animation is involving hand-drawn pictures followed by capturing step by camera. These artefacts lead to the unsteadiness and image vibration of the animation scene even in steady condition of capturing step. Video stabilization method aims to reduce those artefacts. This paper proposes video stabilization algorithm in old animation video based on motion estimation. The motion estimation technique employs coarse to fine method based on wavelet transform. The proposed video stabilization algorithm includes local motion estimation, global motion estimation, motion smoothing, and motion compensation. The superior performance of our algorithm over other method for video stabilization in old animation video is demonstrated through simulated experiment. The phase-correlation based algorithm presents ITF increments of about 0.74 -4.56 %, while our proposed algorithm improvements in the ITF of about 4.37-18.53 %.
Keywords:	Motion Estimation, Video Stabilization, Wavelet Transform, Motion Smoothing,Video Restoration
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	ILP-BASED OPTIMAL CHECKPOINT PLACEMENT IN MULTICORE PROCESSORS
Author:	ATIEH LOTFI, SAEED SAFARI
Abstract:	Nowadays multicore processors are increasingly being deployed in high performance computing systems. As the complexity of systems increases, the probability of failure increases substantially. Therefore, the system requires techniques for supporting fault tolerance. Checkpointing is one of the prevalent fault tolerant techniques reducing the execution time of long-running programs in presence of failures. Optimizing the number of checkpoints in a parallel application running on a multicore processor is a complicated and challenging task. Infrequent checkpointing results in long reprocessing time, while too short checkpointing intervals lead to high checkpointing overhead. Since this is a multi-objective optimization problem, trapping in local optimums is very plausible. This paper presents a novel 0-1 integer linear programming (ILP) formulation for solving optimal checkpoint placement problem for parallel applications running on a multicore machine. Our experimental results demonstrate that our solution leads to a better execution time saving over existing methods.
Keywords:	Fault Tolerance; Optimal Checkpoint Placement; Multicore Architectures; Integer Linear Programming
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	PERFORMANCE IMPROVEMENT OF DISK BASED K-MEANS OVER K-MEANS ON LARGE DATASETS
Author:	SWAGATIKA DEVI, TRILOKNATH PANDEY, ALOK KUMAR JAGADEV
Abstract:	Clustering is a popular necessity having extensive scope for varied applications. We apply the k-means task in a situation where the volume of data is large and puts pressure on the access memory. The objective is to use less memory and access data sequentially. This paper proposes a method of making the algorithm more effective and efficient; so as to get better clustering with reduced complexity. Our algorithm is based on recent theoretical results, with significant improvements to make it application friendly. Our approach sufficiently simplifies a recently developed algorithm, both in design and analysis. We prove that our algorithm compares favorably with existing algorithms - both theoretically and experimentally, thus providing state-of-the-art performance. Also these algorithms are tested on two datasets and the result is simulated
Keywords:	Clustering, complexity, K-means, Sequential access.
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	A NEW CLUSTERING ALGORITHM FOR WIRELESS SENSOR NETWORKS
Author:	ALI JORIO, SANAA EL FKIHI, BRAHIM ELBHIRI, DRISS ABOUTAJDINE
Abstract:	Wireless sensor networks have recently become an attractive research area. However, saving energy and, thus, extending the wireless sensor network lifetime entails great challenges. For this reason, clustering techniques are largely made use of. In this paper we propose a new algorithm based on the principle of spectral clustering methods. Especially, we use the K-ways spectral clustering algorithm. The main characteristic of our proposal is that it defines the optimal number of clusters and dynamically changes the election probabilities of the cluster heads based on their residual energy. Up on analyzing the impact of node density on the robustness of the proposed algorithm as well as on its energy and lifetime gains, simulation results show that the approach actually improves the lifetime of a whole network and presents more energy efficiency distribution compared to Low-Energy Adaptive Clustering Hierarch, Centralized Low-Energy Adaptive Clustering Hierarch, and Distance-Energy Cluster Structure approaches.
Keywords:	WSN, Energy consumption, Spectral clustering, Graph theory, K-ways, Classification.
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	PREDICTION OF RESEARCH TOPICS USING COMBINATION OF MACHINE LEARNING AND LOGISTIC CURVE
Author:	AGUS WIDODO, NOVITASARI NAOMI, SUHARJITO, FREDY PURNOMO
Abstract:	Prediction of future research topics is usually undertaken, especially by policy makers in research environment, to determine the focus of future studies. Analysis of future research topics by using a numerical approach based on scientific publications or patents have been previously done by several researchers mostly by classifying the topics based on the similarity of the documents. Meanwhile, time series analysis using statistical techniques, machine learning and logistic curves has also been conducted but for areas other than research topics. In this study, we will perform time series analysis to predict the topic of research by employing combination of machine learning approaches such as Neural Network, Extreme Learning Machine and Support Vector Machine. The prediction result is then finally refined by logistic curve. The dataset used in this study is a research report on Bioinformatics from Microsoft Research and NCBI (National Center for Biotechnology Information), over the past 30 years. Experimental result indicates that the combination of machine learning approaches and logistic-curve may improve the prediction accuracy. In addition, the emerging topic of the same dataset can be predicted with a relatively high average precision. Based on the dataset used, some emerging topics predicted for the next three years are 'Sequence Alignment', 'Index Terms', 'Secondary Structure', 'Nucleic Acid', and 'Saccharomyces cerevisiae'.
Keywords:	research topics, prediction, bioinformatics, combination, machine learning, logistic curve
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	RELIABILITY ESTIMATION OF PRODUCTS USING TIME SERIES ANALYSIS AND GREY THEORY BASED ON STEP-STRESS ADT
Author:	LI WANG, 2ZAIWEN LIU, CHONGCHONG YU
Abstract:	This paper proposes a SSADT data analysis method to estimate product reliability based on time series analysis and grey theory. A RTVAR degradation time series model is proposed based on SSADT data. A grey prediction method of RTVAR model is put forward to predict product lifetime. By using the suggested method, product reliability is obtained. An example is presented as a verification of the modeling technique and estimation method. A reasonable estimation of lifetime and reliability of the product is obtained by employing the present method.
Keywords:	Reliability Estimation, Time Series, SSADT, Degradation Data, Grey Theory
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	APPLICATION STUDY ON FUZZY EVALUATION SYSTEM OF WATER CONSERVANCY TALENTS BASED ON AHP
Author:	HONG WU
Abstract:	Analyzing the existing problems of the comprehensive quality of the water resource assessment, the authors put forward fuzzy comprehensive evaluation method and System. Depending on the materials, the article sets up the evaluation index system by decomposing and refining the water resource quality evaluation of the content, and then studys comprehensive evaluation model of water conservancy talents on the basis of AHP. Finally, the article uses the sample data to do the actual evaluation, which has validated the practical and scientific of the study.
Keywords:	Water Conservancy Talents; Fuzzy Evaluation; AHP
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	THE RESEARCH AND APPLICATION OF CURVE AND SURFACE FITTING PARALLEL LEAST SQUARES ALGORITHM
Author:	YUZHU ZHANG, AIMIN YANG, YUE LONG
Abstract:	Along with the science research field is more and more wide, solve large-scale over determined system of linear equations has become an important problem , and the parallel processing technology also become the trend of the research. Firstly, this paper introduces the basic principle of the curve fitting least squares serial algorithm, based on the least square principle we found an parallel least squares curve and surface fitting method; Second, further reform the parallel least squares fitting method combined with parallel QR decomposition technique, which solved the problem of over determined linear equations and three dimensional space curved surface fitting. At the end of the paper we compared to scatter diagram and fitting chart with serial and parallel operation time which proves that the advantages and effectiveness of the method through the concrete example.
Keywords:	Curve Fitting, Surface Fitting, Least Squares, Matrix Parallel Algorithms, Master-Slave Mode
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	STATISTIC MODEL OF PE TEACHING EFFECT BASED ON SPSS SOFTWARE
Author:	HUAXIN ZHANG
Abstract:	PE teaching score is a direct reflection of the quality of teaching, and the statistic analysis of the grade is an important part of the physical teaching process. Teachers can draw their own teaching effectiveness and know how students are getting along with study, through the analysis of the results, which make exams truly serving the quality education. How to do teaching analysis better and faster is a very important issue. In this paper, we study on the methods and procedures of PE teaching statistic analysis based on SPSS software, and provide an approach for the analysis of the scores in PE teaching.
Keywords:	SPSS, PE Teaching, Statistic Analysis, Normal Distribution
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	THE CORRELATION DEGREE ANALYSIS BETWEEN THE BASKETBALL TEAM ACHIEVEMENT AND TECHNICAL INDEX BASED ON THE GRAY SYSTEM THEORY
Author:	LIYA MA
Abstract:	In this paper, the gray system theory is used to establish the comprehensive evaluation model. We take a team as an example and analyze it, and then the analysis and solution method is promoted to other teams. In the end, the correlative relationship between the technical index of each team and the achievement is solved. Firstly, the index data of each team is carried on statistical treatment and standardized processing (dimensionless method) and the margin list of each index is solved. The comprehensive evaluation model is established on the gray system theory and the relation grade between the technical index and achievement of each index is obtained by solving of Excel.
Keywords:	Gray, Correlation Degree, Standardization, Technical Index
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	THE APPLICATION OF BASKETBALL COACH’S ASSISTANT DECISION SUPPORT SYSTEM
Author:	LIANG WU
Abstract:	In the current basketball game, when the basketball coach makes decisions, they rely on the original professional skills and experience. Sometimes the wrong judgment of the situation of the court will be caused, and the wrong decisions result in losing the basketball game. How to judge the basketball game quickly, accurately, scientifically and effectively is a problem that requires urgent solution. Based on the previous results, the study establish the data warehouse and data mining and make a real-time basketball coach’s assistant decision support system. The assists data of the basketball game in the university are used to establish dimension and carried on the data analysis. The frequent items are looked out in the data results, which can provide the scientific basis for basketball coach to make the accurate decision and choose the formations.
Keywords:	Basketball, Coach, Assistant Decision Support System, Application
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	COMPUTER SIMULATION AND MODELING OF SHOT PUTTING PROJECT IN TRACK AND FIELD EVENTS
Author:	CAIPING WANG
Abstract:	Shot putting is an important component of track and field events and the throwing distance (s, m) is the greatest concern of coaches and athletes. There are mainly three major factors affecting throwing distance: the initial velocity (v, m/s), release angle (A, °) and release height (h, m) in shot push. So far, it is common to use the physical kinematics knowledge in the research of shot putting, but the release height’s impact on the throwing distance is rarely considered. By mathematical modeling and computer simulation, this article analyzes the relation between the three factors (v, A, h) with the throwing distance (s) and determine the best release angle with regard to different release velocity. In addition, the impact of release velocity and release angle on throwing scores is discussed. This article is of certain theoretical guiding significance for athletes and coaches in the selection, training and competition for athletes.
Keywords:	Shot Putting, Throwing Distance, Release Angle, Sensitivity
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	RESEARCH ON THE APPLICATION OF MANAGEMENT MODEL BASED ON THE HEALTH AND SPORTS OF COLLEGE STUDENTS
Author:	ZUOJUN TAN
Abstract:	In order to get a good understanding of the situation of health, sports consciousness and practice, a study on the management of physical exercise is conducted based on the different genders, grades and majors. The related data is obtained through the sampling survey. By using the theories and methods of parameter estimation, hypothesis testing, variance analysis and regression analysis and combining with excel statistical software, a statistical analysis are conducted based on the data of this specific problem. According to the present situation of the college students' physical exercise, the analysis on the influence and factors of the decrease of students' physique is carried out. The new management way, the method and the suggestions are promoted to provide the theory reference for the possibility to improve the enthusiasm to participate in sports of college students.
Keywords:	College Students, Physical Exercise, Management Model, Statistical Analysis
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	RESEARCH ON COMBINED PREDICTION MODEL BASED ON BP NEURAL NETWORK AND ITS APPLICATION
Author:	XIAOHONG WANG, JIANHUI WU, SUFENG YIN, ZHENGJUN GUO , GUOLI WANG
Abstract:	In order to study the prediction ability of combined model based on BP neural network, the information is gathered to established BP neural network model. The BP neural network model is built between the incidence seniority and the influencing factors and whose prediction performance is compared with the traditional model of multivariate and linear regression. Based on this we can set up linear combination forecasting model and nonlinear combination forecasting model to find the optimal prediction model through restricting the BP neural network and multivariate linear regression method. BP neural network ,multiple linear regression ,based on the forecasting error square and minimum linear combination model ,based on the prediction error absolute value of the minimum of the linear combination model ,based on BP neural network combined model prediction of the average relative error incidence seniority is respectively 8.977%, 11.092%, 8.952%, 8.952%, 8.963%, 8.723%, the average rank respectively 2.45, 2.79,2.39,2.40,2.37. According to the error index and prediction accuracy, predicting performance can be arranged from superior to inferior in this order: BP neural network combination model, the combination forecasting to achieve the minimum square error, absolute error and minimum combination forecast, BP neural network model, multiple linear regression model, combined model prediction accuracy is better than a single model, and BP neural network combined model is the optimal.
Keywords:	BP Neural Network; Combination Model; Prediction; Relative Error; Mean Relative Error
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	ON HILBERT-TYPE INTEGRAL OPERATOR INEQUALITY AND APPLICATION
Author:	AIMIN YANG, GUANGSHENG CHEN
Abstract:	In the paper, by using the way of weight functions and the theory of operators, a Hilbert-type integral operator with the homogeneous kernel of −λ-degree and its norm are considered. As for applications, two equivalent inequalities with the best constant factors and some particular norms are obtained.
Keywords:	Integral operator, Beta function, Hilbert’s type integral inequality
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	STUDY AND APPLICATION OF COMBINATION PREDICTION MODEL OF PRINCIPAL COMPONENT ANALYSIS AND BP NEURAL NETWORK
Author:	JIANHUI WU, QI REN, YU SU, SUFENG YIN, HOUJUN XU, GUOLI WANG
Abstract:	When BP neural network is widely used in many fields, this method shows a lot of shortcomings. In this article, the principle component analysis and BP neural network are combined together to establish a combined prediction model. Firstly, we should use principle component analysis to reduce the dimension of the variables and eliminate the co linearity among the variables. According to the selected principle components, BP neural network model will be built. By comparing with the result of single BP neural network model, the fitting degree (R2=0.8528) of the combined model is better than that (R2=0.7854) of the single one. After comparing the average differences of two models, we have found that the prediction ability (MSE=0.35) of the combined model is better than that (MSE=0.35) of the single model, which shows that the multi co linearity of the resolution factors. It can reduce the data dimension, optimize the structure of neural network, and quicken the speed of the network training and study. The function of the established combined model is good, which can be promoted in the prediction field.
Keywords:	Principle Component Analysis, BP neural network, Prediction, Combination model
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	CLOUD DATA MANAGEMENT: SYSTEM INSTANCES AND CURRENT RESEARCH
Author:	CHEN ZHIKUN, YANG SHUQIANG, ZHAO HUI, ZHANG GE, YANG HUIYU, TAN SHUANG, HE LI
Abstract:	With the development of Internet technology and cloud computing, cloud data management technology has emerged while the technology of traditional database management cannot meet the requirement. In this paper, we will compare the features and analyze the difference among the new cloud data management systems from data model, data partition schema, fault-tolerant mechanism of system, the load balancing mechanism of system and the model of data consistency and availability. And then we analyze and verified the system performance between the two open-source systems. Finally, research statuses of the cloud data management technology are analyzed and the key technologies in the research of cloud data management technology are summarized.
Keywords:	Cloud Computing, Cloud Data Management, NoSQL, Massive Data Storage, Big Data
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	EXPLORE OBJECT-ORIENTED CLASSIFICATION FOR LAND USE FROM HIGH RESOLUTION SATELLITE IMAGERY
Author:	YAN LI, HAO WU, YE LI, LUPING YE, ZHIPING CHENG, CHENCHEN XU, XIAOJUN ZHAO
Abstract:	Land use is an indispensable prerequisite for credible causes and consequences investigation of global environment changes. With the increasing availability of very high resolution remote sensing imagery, more accurate and effective analysis of land use is becoming possible. However, the traditional method of imagery interpretation is focused on pixel-based analysis, which has fundamental limitations in addressing particular land use characteristics due to finite spatial extent. Taking advantage of recent advances in imagery interpretation methods, a supervised procedure based on object-oriented image analysis, is proposed in this study to reduce manual labor and objectify the choice of significant object features and classification thresholds. A sequence of image segmentation, feature selection, object classification and error balancing was discussed in details. In order to verify the validity of object-oriented Classification for high resolution satellite imagery, a scene of 2.4-meter multispectral image of Quickbird is respectively classified by the pixel-based analysis from Erdas and the object-oriented method from eCognition. It can be concluded by comparison that the object-oriented classification is better fit to exact the land use information from high resolution remote sensing imagery than the pixel-based method.
Keywords:	High Resolution Satellite Imagery, Object-oriented Classification, Land Use, Ecognition, Remote Sensing
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	A METHOD OF PHASED INTEGRATED SEMANTIC SIMILARITY COMPUTATION
Author:	MA JUNHONG
Abstract:	This paper proposes a method of phased integrated semantic similarity computation to improve the existing Chinese text algorithms. It computes text similarity in sections from the sentences，paragraphs，to the whole text. Combining with the characteristics of each section，the text semantic factors is also blended in each section，striving to the best accuracy. At last, we have established a similarity computing systems, compared the new method with other common methods in Chinese information processing. The experiments indicate that the improved algorithm has achieved better results.
Keywords:	Texts similarity, Vector Space Model, Semantic similarity, Term weight ，TF-IDF
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	COMPLEX ADAPTIVE SYSTEM-BASED OPTIMAL ALLOCATION OF REGION WATER RESOURCES
Author:	FENG KEPENG, TIAN JUNCANG
Abstract:	Because of disadvantages to traditional theory and methods on optimal allocation of water resources , This paper views the system of regional water resources as a Complex Adaptive System composed of many independent agents , and studies its complexity with the complex adaptive system (CAS) theory. Based on CAS, we propose a new framework for the allocation of region al water resources. Then ,the simulations were performed in Ningxia region to verify the effectiveness of the theoretical framework.
Keywords:	Complex Adaptive System, Optimal Allocation, Water Resources, complexity, Agent Modeling
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	A REDUCED-COMPLEXITY LDPC DECODING ALGORITHM WITH CHEBYSHEV POLYNOMIAL FITTING
Author:	SHAOBO SHI, YUE QI, LEI LI, MIN YAO, QIN WANG
Abstract:	BP decoding algorithm is a high-performance low-density parity-check (LDPC) code decoding algorithm, but because of its high complexity, it can’t be applied to the high-speed communications systems. So in order to further reduce the implementation complexity with the minimum affection to the system performance, , we proposed a BP algorithm based on Chebyshev polynomial fitting for its good approximation performance in this paper. This method can transform the complicated exponential function into polynomial with the error at level in the process of decoding , which can reduce the consumption of memory resources considerably. At the same time, a Chebyshev unit is proposed in the process of implementation with less multiplier; we implemented a semi-parallel LDPC decoder with this method on Altera CycloneII FPGA. The simulation results show that the degradation of this method is only 0.4dB compared with conventional BP algorithm.
Keywords:	low-density parity-check (LDPC) code;BP algorithm;Chebyshev Polynomial Fitting;
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	RESEARCH ON FURNITURE IMAGE MODELLING DESIGN BASED ON KANSEI ENGINEERING
Author:	ZHANG ZHONGFENG, HUANG KAI, YE YONGJUN
Abstract:	In order to design furniture products which to meet the consumers’ emotional needs, it proposed the framework of furniture image modelling design based on Kansei engineering and took wood sofa chair for example to conduct the in-depth research. Firstly, it selected the typical samples of sofa chair. Then it analysed the perceptual images of samples with the expert access method and questionnaire method, and the perceptual images were integrated by the modelling attraction with the graphical method. Finally, SPSS was used for the multiple regression analyses to establish the quantitative relationship between the modelling attraction and modelling elements based on the quantification theory I to provide the scientific guide for the wooden sofa chair image modelling design. The results of this research show that expanding the application of Kansei engineering in furniture design has broad prospects.
Keywords:	Kansei Engineering (KE), Furniture Image Modelling Design (FIMD), SPSS, Mathematical Model (MM), Emotional Needs (EN)
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	LOW ENERGY MAPPING TECHNIQUE FOR HIERARCHICAL NETWORK-ON-CHIP
Author:	XIAONA XIE, QINGXIN ZHU, ZHENGWEI CHANG, YU FANG
Abstract:	Intellectual property (IP) core-to-node mapping is an important but intractable optimization problem in Network-on-Chip (NoC) application design. In this paper, we present an approach to map cores onto hierarchical NoC architecture which consists of two levels. The top-level interconnection network is realized by a 2D mesh of communicating routers, and a tree based topology is used at the second level of interconnection hierarchy. We formulate the problem of low energy mapping, and introduce a three-phase optimization strategy to solve it. The cores are clustered firstly, and a tabu search based mapping technique is proposed to map the core clusters to the top-level interconnection network. Then the cores within each cluster are mapped to the nodes of every sub-network. Experimental results show that the proposed method is very fast and effective in terms of energy optimization.
Keywords:	Hierarchical Network-on-Chip, Low Energy, Mapping, Cluster, Tabu Search
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	ANALOG CIRCUIT FAULT DIAGNOSIS METHOD BASED ON PARTICLE SWARM NEURAL NETWORK
Author:	Baoru Han, Hengyu Wu，Shixiang Liu
Abstract:	With the combination of particle swarm optimization and neural network, this paper presents a kind of analog circuit fault diagnosis method based on particle swarm neural network. In the training process, the linear decreasing inertia weight particle swarm algorithm optimized BP network’s initial weights and initial threshold, adaptive learning rate and additional momentum BP algorithm adjusted the weights and threshold of BP neural network, which makes the best of particle swarm algorithm and BP algorithm local search advantage to overcome the traditional BP algorithm converging slowly and falling into the limitations of local weights easily. Simulation results show that this diagnostic method can be used for tolerance analog circuit fault diagnosis, with a high convergence rate and diagnostic accuracy.
Keywords:	Fault diagnosis， Particle swarm neural network， Linear decreasing inertia weight， Analog circuits
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	APPLICATION OF ANALYTIC HIERARCHY PROCESS IN P.E. TEACHING EVALUATION SYSTEM
Author:	DACHUN ZHANG
Abstract:	P.E. teaching evaluation system is an important mean and method to measure the general proficiency of P.E. teachers teaching profession. Traditional evaluation method is highly influenced by subjective factors and is not able to reflect teachers’ practical level factually. This study builds a P.E. teaching evaluation model based on analytic hierarchy process. The results show that the weight of teaching effect, teaching method and teaching attitude are 0.21, 0.20 and 0.20 accordingly, and these three factors have the greatest impact on the result of P.E. teaching evaluation while teaching content and scientific research have a less impact (the weights are 0.12 and 0.10). It is verified through an example that the P.E. teaching evaluation result based on analytic hierarchy process is reasonable and in accordance with P.E. teaching laws. In conclusion, it is suggested that this evaluation model can be popularized and applied in P.E. teaching evaluation.
Keywords:	Analytic hierarchy process, P.E. teaching, Evaluation, Model
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	AEROBICS TRAINING MODE BASED ON PLS REGRESSION MODEL
Author:	BENTAN YUAN, XUZHONG YAO
Abstract:	Aiming at the mistakes made by the athletes in matches, this paper probes into how aerobics athletes complete the highly difficult movements that they make small mistakes in their usual training and thus achieve better scores and ranks in matches. In the paper, the explanation and prediction effect of the planned behavior theoretical model is firstly tested; then exercise planning, self-efficacy and social support are introduced as 3 independent variables to establish the partial least squares regression model with the purpose of achieving better explanation and prediction effect on aerobics athletes’ exercise intention and behavior. The operating mechanism of the 3 variables on intention and behavior is further discussed. Based on the improved planned behavior theory, the intervening influence on aerobics athletes’ exercise behavior brought by increased self-efficacy and social support provides reference to the aerobic training.
Keywords:	Aerobics, Partial Least Squares Regression, Self-Efficacy, Mathematical Model
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	CYCLE RECORDING IN TRACK AND FIELD COMPETITIONS OF RFID
Author:	GUOMIN FENG
Abstract:	Automatic cycle record in track and field competition has been a difficult problem for a long time. The rapid development of RFID promises the possibility of its realization. This paper studies the data acquisitions and processing in RFID, according to the cycle record in distance race, proposes the non-artificial methods to record cycles in RFID. It can not only avoid human errors but also improve the accuracy and reliability of the results. The automatic of cycle records in track and field competitions is more important for small basic competitions.
Keywords:	RFID, Automatic Cycle Record, Application Study, Track and Field Events
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	COOPERATION INNOVATION OF VIRTUAL INDUSTRY CLUSTER----BASED ON EVOLUTIONARY GAME
Author:	LU CHENG, HONGYAN HUO, HE ZHOU
Abstract:	In this paper, we researched on effects of knowledge resources to the enterprise cooperation innovation strategy select, and established an evolutionary game model of cooperative innovation between members of Virtual Industry Cluster. This study got some results like: the probability of cooperative strategy has positive correlation with income coefficient of knowledge resources and mutual confidence level between partners, and has negative correlation with costs and risks of knowledge resources getting. And based on these results, our team put forward the strategy advice to incentive members of virtual industry cluster to cooperation based on knowledge network.
Keywords:	Virtual Industry Cluster, Cooperative Innovation, Evolutionary Game, Knowledge Resource
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	A NOVEL AC ELECTRIC ARC FURNACE MODEL AND SIMULATION FOR POWER QUALITY STUDY
Author:	DUAN XU, YANG YONGMING
Abstract:	In this paper, we study the establishment of AC electric arc furnace model via chaotic circuit. First, the static model based on energy conservation theory is established. Then, a dynamic model based on static model created previous is built to simulate AC electric arc furnace dynamic characteristics. Chua’s chaotic circuit is selected to generate modulation wave. The results obtained by using the proposed model are compared with measurements. The comparison indicates a relatively good correlation between our model and the experimental data.
Keywords:	AC electric arc furnace model, chaotic, Chua’s circuit, power quality
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	THE NEW ENERGY STORAGE DEVICE FOR THERMOACOUSTIC POWER GENERATION SYSTEM
Author:	MA LILI, XIA JIAKUAN, HE XIN
Abstract:	How to deal with and use of electricity efficiently from the thermoacoustic power generation system, including the rectifier, inverter, storage, are another question faced with. The reason was analyzed based on thermal acoustic instability and the oscillation amplitude difference. The idea was put forward how to solve thermoacoustic wave instability or oscillatory amplitude difference. If power was under smaller for electric storage device, a stored electrical energy storage device was designed. The method for electric storage device charging by experiments was correct. This showed that less electric energy was made use of well, the using rate for this new type of energy would be promoted further. The thermoacoustic power generation system will be used widely in future.
Keywords:	Thermoacoustic Power Generation System; Linear PM Generator ; Thermoacoustic Engine; Thermoacoustic Wave; Energy Storage Device; New Energy; Voltage Hysteresis Control; Differential Negative Feedback;
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	HETEROGENEOUS MULTI-SENSOR JOINT TRACKING OF TARGET BURIED IN AEW RADAR BLIND DOPPLER ZONE
Author:	YING FU , ZIYUE TANG , YONGJIAN SUN,
Abstract:	Due to adopting the pulse Doppler (PD) system, the blind Doppler zone (BDZ) of airborne early warning (AEW) radar is inevitable. This paper focuses on finding a technique with good estimation performance for tracking airborne targets flying in AEW BDZ. Consequently, combining with interacting multiple models (IMM), extended Kalman filter (EKF) and particle filter (PF), the radar and electronic support measure (ESM) joint tracking BDZ target technique based on IMMEPF is put forward. The advantage of IMM algorithm is not only error reduction but also model prediction. As far as the nonlinear, non-Gaussian problem is concerned, Particle filter is adept usually. For the purpose of overcoming the particle degeneracy phenomenon, it relies on EKF state estimation to generate new particle set. The numerical simulation results justify that the proposed technique shows high precision performance of tracking target buried in BDZ.
Keywords:	Heterogeneous Multi-Sensor, Joint Target Tracking, AEW Radar, Blind Doppler Zone, Interacting Multiple Model, Extended Kalman Particle Filter
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	SPEECH AUTHENTICATION BASED ON PERCEPTUAL FINGERPRINT HASHING
Author:	HONGXIA WANG, JINFENG LI, YONG QIU
Abstract:	A perceptual fingerprint hashing method is proposed for audio authentication in this paper. First, the biologic fingerprint image is divided into overlapping rectangle blocks by randomly using a chaotic sequence, and then the gravity center of each block is calculated. Finally, the perceptual Hashing value is generated based on the gravity center of each block. To authenticate the speech identity source, the perceptual fingerprint hashing that represents speaker’s identity information and speech signal must be connected closely. So the perceptual fingerprint hashing value is embedded into the speech signal as a watermark. At the authentication stage, first, the perceptual fingerprint hashing value is extracted from the speech for authentication, and then it matches another perceptual fingerprint hashing value which is restructured by the suspicious fingerprint image. Finally, the authentication result can be decided by the matching result. The experimental results indicate that the proposed algorithm is not only robust against fingerprint rotation processing and noise attack, but also has high security and uniqueness.
Keywords:	Speech Authentication, Speaker Verification, Perceptual Hashing, Biologic Fingerprint, Digital Watermarking
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	THE RESEARCH ON DISPERSION CONTROL OF DISPERSION UNSHIFTED SINGLE-MODE OPTICAL FIBER
Author:	XIANGJUN WANG
Abstract:	The dispersion unshifted optical fiber is in favor of communications construction project, because of its mature manufacturing technique, low loss, large bandwidth, transmission distance, low engineering cost, the related derivative products, easy realization. In order to pursue a better communication quality, dispersion control has become an important index of engineering. In this paper, based on the characteristics of dispersion unshifted optical fiber, dispersion mechanism is analyzed on theory, and the methods of dispersion management technology are contrasted.
Keywords:	Optical Fiber(OF), Dispersion Compensation(DC), Fiber Communication(FC)
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	EFFICIENT TOP-K QUERY PROCESSING IN P2P NETWORKS
Author:	HUI WANG, ZHITAO GUAN, YUE XU
Abstract:	Top-k query is widely used in the search engine and gains great success, which perform the cooperative query by aggregating the database objects’ degree of match for each different query predicate and returning the best k matching objects only. It’s also applied to p2p file-sharing systems. However, top-k query processing in p2p systems is very challenging because the potentially large number of peers may contribute to the query results, which may induce a huge amount of network traffic and high latency. In this paper, we develop a framework that can effectively satisfy the demands. Two algorithms are used for local peer query processing and hierarchical join query processing, and two schemes are proposed to deal with the problem of peer’s dynamicity and further reduce communication cost. Simulation results show that our algorithms and schemes are effective.
Keywords:	Peer-to-peer (P2P), Top-k query, algorithm
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	AN EFFICIENT REPLICA CREATION SCHEME IN P2P NETWORK
Author:	ZHITAO GUAN, YUE XU
Abstract:	There's one major problem in the unstructured p2p file sharing systems, which is their heavy network traffic. A potential solution is to use replication technology. The objective of replication is to create enough replicas to let nodes in p2p systems get required files with only a few hops. Replication is widely used in the distributed database systems and gains great success. However, processing replication in unstructured p2p network is very challenging because a p2p system is a dynamic and decentralized system. In this paper we present an efficient hierarchical replica creation scheme based on the track and popularity of files, which includes two strategies, one is super node layer replica creation and the other is bottom layer replica balancing. Instead of passively accepting replicas, each node determines file replication by dynamically adapting to popularity and query track of the files, which can not only supply enough replicas to decrease the query messages, but also avoid unnecessary file replications. The evaluation results indicate that our method shows good performance.
Keywords:	Peer-to-peer (P2P); popularity; replication; replica creation
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	RESEARCH AND IMPLEMENTATION OF DISTRIBUTED CALL SYSTEM BASED ON SOFT SWITCH
Author:	FENG TIAN
Abstract:	In order to achieve the separation of the service platform and client in the call system, unify the transmission of the voice and data, reduce the communication cost for enterprise, distributed call system model is build, core function module of the distributed call system is designed for the needs of call system status and next generation network’s establishment for enterprise based on the layered architecture of the soft switch. SIP serves as the call control protocol, and layered modularized software development idea and standard opening interface are adopted, distributed call control and development of voice transmission and other core function module is realized by Visual C++ based on the Windows Socket specification. The test platform based on the XE200 voice server of H3C is established, the software function of distributed call system is verified, and voice quality of the call system, signaling process time, compressive resistance of the system is tested by Clear Sight network analyzer. The test results show that the voice quality of the system achieves PSTN effect, signaling process time is in the range of international telecommunication union Tg114 standard, CPU occupancy rate of the system, memory occupancy rate and response time are stable, and possesses good extensibility and maintainability, which achieves the anticipated designing goal.
Keywords:	Soft switch; Distributed; SIP; Calling system
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	RESEARCH ON WHEELBASE, WHEELBASE DIFFERENCE AND WHEEL STATIC RADIUS DETECTION BASED ON STEREO VISION
Author:	CHEN XU, LIN GUOYU
Abstract:	A stereo vision method is presented to measure wheelbase, wheelbase difference and wheel static radius, and the key is to locate the wheel center. The aluminum alloy wheel hub is the research subject in the method, and its contour is extracted and fitted as an ellipse curve. To improve the matching precision, a new un-tangent constraint is adopted based on which stereo matching is carried out. Then a spatial circle projection algorithm with low time complexity and high accuracy is proposed to reconstruct 3D coordinates of wheel center. After that, the measurement models of wheelbase, wheelbase difference and wheel static radius is described in details. At last experiments are performed to verify our proposed method. In experiments, wheelbase, wheelbase difference and wheel static radius of three different cars are measured, and then the results are compared to manual measurement results. Experiments have proved that the proposed method could acquire the wheelbase, wheelbase difference and wheel static radius fast and accurately.
Keywords:	Wheelbase Difference, Static Radius, Wheel Center, Stereo Vision, 3D Reconstruction
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	TWO-DIMENSIONAL DIGITAL HALFTONING BASED ON WEIGHTED LEAST-SQUARES FOR LASER CARVING GRAVURE CYLINDER TECHNOLOGY AND DETECTING SYSTEM OF INK CELLS VIA NEURAL NETWORK
Author:	ZIFEN HE, ZHAOLIN ZHAN, YINHUI ZHANG
Abstract:	Laser carving technology has the advantages of higher resolution, focusing precision and digital modulation. It has been widely used in laser engraving gravure plate and laser plate processing. However, the switching of the laser has only two states, so the halftoning processing plays a vary important role in the laser plate. In this paper, we present a 2-dimensional digital halftoning method based on weighted least-squares(WLS) which can significantly gain high quality image during the processing of laser plate. Two main strategies were made. The first is adding a procedure to partition into several finite regions using K-means image segmentation and least squares to reduce the total quantizing error. The second is that the statistics of the mean and variance of the gray-scale pixel of each clustering are calculated and the new energy function is constructed using the weighted least squares method, which the reciprocal of the variance of the segmented regions are referred to as the weighting operator. The analysis and simulation results show that the proposed algorithm produces better gray-scale halftone image quality when we increase the number of clustering with a certain range. A performance measure for halftone image is used to evaluate our method. We apply neural network to build up a detecting system of ink cells in gravure cylinder.We use different thresholds and experimental sigma values that compare to experimental results. Binarization images are obtained through adaptive threshold segmentation, which regards the value of gaps and dark tone as the characteristic value when they start to detecting. We extract size and surface defects of ink cells for grading. The areas of ink cells are deemed to size characteristics. Then we classify the ink cells into two classes by using of neural network. The experimental results consider neural network model that produce consequences.
Keywords:	Laser Carving Technology, Digital Halftoning, Weighted Least Squares, Ink Cells in Gravure Cylinder, Neural Network, Value of Gaps and Dark Tone
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	RATE CONTROL FOR MULTI-VIEW VIDEO CODING BASED ON VISUAL PERCEPTION
Author:	YI LIAO, MEI YU, XIAODONG WANG, GANGYI JIANG, ZONGJU PENG, FENG SHAO
Abstract:	A rate control algorithm for multi-view video coding based on visual perception is proposed. The algorithm is performed on four levels, namely view level, group-of-picture (GOP) level, frame level and macro-block level. In the view level, we pre-encode a GOP to obtain the bitrates proportion among the views. In the GOP level, the initial quantization parameter and the target bits are calculated for the GOP combined with the feature of hierarchical B pictures (HBP). In the frame level, bits allocation is decided by the predicted complexity of the frame. In the macro-block level, the rate distortion model is adjusted based on the visual perception. Experimental results show that the proposed algorithm can increase the quality of visual sensitive region by 0.18 dB to 0.54 dB and improve the subjective quality compared with the conventional approach.
Keywords:	Rate control, Multi-view video coding, Visual perception, Hierarchical B pictures
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	MODELING AND SIMULATION OF DUAL SOUND LOCATION OF UNDERWATER ULTRASOUND DETECTOR UNDER VOLUME REVERBERATION
Author:	ZHANG YING, CHEN HEJUAN
Abstract:	Aiming at the request of fast target location in underwater ultrasound detector, the dual sound location algorithm of close range detecting is proposed. By estimating the pressure difference and the time difference of dual sensors, the algorithm puts forward the pressure difference location model and the time difference location model, and derives the analytic solutions of real-time location. The mirror fuzzy problem of the linear array is resolved by dual sensors rotating 90 degrees. The problem that the target is unable to locate when it is located on the perpendicular bisector is solved by dual sensors rotating angle. The volume reverberation model is established. Simulation results show that the algorithm under the lower reverberation can achieve better location. The algorithm can meet high sensitivity and fast response requirements of underwater ultrasound detector close range detecting.
Keywords:	underwater ultrasound detector; dual sound time difference; dual sound pressure difference; volume reverberation; modeling and simulation
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	INFORMATION TECHNOLOGY AND IT’S APPLICATION IN THE PRODUCING PRECISION OF COPPER TUBE
Author:	YUE FENGLI, BIAN LEILEI
Abstract:	Uniform Design, Finite Element Simulation, Artificial Neural Networks, Genetic Algorithm had been integrated to optimize the die geometric parameters of copper tube produce. The browser, WEB server and database structure of copper tube processing quality information management system were designed, The SPC technology of intelligent diagnosis analysis and processing were realized quality information storage, sharing, analysis and application. It is a kind of realization of copper and copper alloy tube production process intelligent design very good method.
Keywords:	Artificial Neural Network, Finite Element Method, Expert System, Copper Tube
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	A NEW RATE CONTROL ALGORITHM FOR VIDEO CODING BASED ON JUST NOTICEABLE DISTORTION
Author:	YI LIAO, MEI YU, 1XIAODONG WANG, GANGYI JIANG, WEIYUE LIU
Abstract:	To improve the performance of rate control algorithm for H.264/AVC and keep a good quality for video, a new rate control algorithm is proposed based on the just noticeable distortion (JND). Firstly, the motion characteristics of inter-frames were used to measure the frame complexity as to allocate the target bits rationally in frame level. Secondly, just noticeable distortion for measuring visual sensitivity of macro-block was introduced, and the bits allocation of macro-block is based on the JND value. The experimental results show that the proposed algorithm can control the bit-rate more accurately and improve the subjective quality of the visual sensitive areas without any rate-distortion performance decline compared with JVT-G012 algorithm.
Keywords:	Video coding, Rate Control (RC), Just Noticeable Distortion (JND), Frame complexity
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	A MODIFIED EKF ALGORITHM FOR GPS POINT DYNAMIC POSITIONING AND VELOCITY MEASUREMENT
Author:	SONG DAN, ZHANG PENGFEI, XU CHENGDONG
Abstract:	Extended Kalman Filter (EKF) algorithm is widely used in GPS positioning and velocity measurement. As for EKF algorithm, the approximate initial position of the receiver is indispensable; otherwise the time consumption of the first positioning is too high because of the filter’s low convergence rate. A modified EKF algorithm named delayed update EKF (DU-EKF) algorithm for GPS point dynamic positioning and velocity measurement is proposed in this paper, which can speed up the convergence rate of the filter without the receiver’s approximate initial position. Furthermore, it can improve the accuracy of positioning and velocity measurement. Three kinds of algorithms are used in the simulation of this paper to compare with the modified EKF algorithm: iterative least square (ILS) algorithm, EKF algorithm with the Zero initial state vector (ZEKF) and EKF algorithm with the initial state vector which is Close to the actual situation (CEKF).
Keywords:	Extended Kalman Filter (EKF), GPS, Positioning, Velocity measurement
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	RESEARCH ON APPLICATION SERVICE SYSTEM OF AIRCRAFT BASED ON THREE-DIMENSION DESIGN PLATFORM
Author:	CHU JIANJIE, CHEN GUODING, YU SUIHUAI
Abstract:	Based on the aircraft application service status and requirements, the paper analyzes the application of CAD technology in the areas. A series of key technologies were achieved including product resource management of three-dimensional model, Service regulations management of aircraft maintenance, computer-aided training and evaluation techniques etc. The overall solution of digital aircraft maintenance services system was proposed and prototype system based on three-dimensional digital model was developed. The application of the prototype system has been verified through aircraft maintenance example tasks. Through the research, design data management service during aircraft development lifecycle management was extended to the aircraft application service.
Keywords:	Aircraft Application Service, Lightweight Model, Maintenance Regulations s, Maintenance Training Evaluation
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	MAINTENANCE POLICY OPTIMIZATION FOR A DETERIORATING SYSTEM WITH MULTI-FAILURES
Author:	HUANZHI FENG, LAIBIN ZHANG, WEI LIANG
Abstract:	For complex systems in modern industry system, optimal maintenance policy is difficult to determine concerned balance between risks and costs because numerical elements have effectives to each others. To solve this critical problem, this paper presents an optimal maintenance model for a multi-state deteriorating system subject to multi-failures. The system process is modeled as a semi-Markov process. The model has considered both multi-condition states and multi-failure states of the system. The system deterioration process is described from “as good as new” to the state “completely failed”. In each state, the probability of the system transferred to certain failure is different. Using different maintenance policy will lead to the different state transition probability. The certain aim of the study is to find the best maintenance policy to minimize the long-run expected average cost per unit time. Condition monitoring and state prediction techniques are considered in the model. Finally, a numerical example and an industry example are presented to illustrate the implementation of the computational approach.
Keywords:	Optimal Maintenance Policy; Semi-markov Process; Condition Monitoring; Long Run Cost
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	ON THE CONSTRUCTION AND RESEARCH OF INTERDISCIPLINARY PRACTICAL TEACHING PLATFORM UNDER CLOUD ENVIRONMENT
Author:	WENYA TIAN
Abstract:	With the rapid development of Internet information technology, professional teaching softwares and simulation system are set up in higher vocational colleges. And they are widely used in practical teaching. Since the Interdisciplinary Practical Teaching has been carried out across the whole school, the shortage of training places becomes a contradiction. To build a shared "interconnection" , professional and practical teaching platform is the urgent problem of college. Only by this, it can break through the limitation of the practice sites shortage, and promote the sharing of professional teaching resources. By using the virtualization and cloud computing technology, this paper constructs the interdisciplinary practical teaching platform under cloud environment, which can effectively solve the above problems in higher vocational colleges, thus to innovate the practical teaching mode.
Keywords:	Interdisciplinary, Teaching Platform, interconnection
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	ASSOCIATIVE CLASSIFICATION WITH KNN
Author:	ZAIXIANG HUANG, ZHONGMEI ZHOU, TIANZHONG HE
Abstract:	Associative classification usually generates a large set of rules. Therefore, it is inevitable that an instance matches several rules which classes are conflicted. In this paper, a new framework called Associative Classification with KNN (AC-KNN) is proposed, which uses an improved KNN algorithm to address rule conflicts. Traditional K-Nearest Neighbor (KNN) is low efficient due to its calculation of the similarity between the test instance and each training instance. Furthermore, the accuracy of KNN is largely depended on the selection of a “good value” for K. AC-KNN generates for each test instance a specific training set composed of instances covered by best n rules which match the test instance. Thus, the nearest neighbors from the specific training set are not only similar to but also associative with the test instance. As a result, such nearest neighbors will make better decision on classifying a conflict instance. Our experiments on 12 UCI datasets show that AC-KNN outperforms both AC and KNN on accuracy. Compare with KNN, AC-KNN is more efficient and more stable to the number of nearest neighbors.
Keywords:	Data Mining; Classification; Association Rule; KNN; Rule conflicts
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	THE OPTIMAL PARTITION FOR SINGLE VIDEO SEQUENCE IN STREAMING MEDIA SYSTEM
Author:	MANDE XIE
Abstract:	The fine grained scalable (FGS) coding is one of the most popular coding technologies in network video stream. In FGS stream, the base layer rate is an important parameter and should generally make a compromise between the number of beneficial clients and the efficiency of video coding. To maximize all clients' perceived quality, the optimal partition algorithm for single FGS-coded video sequence is proposed. By analyzing the algorithms oriented FGS-coded stream proposed by Hsu et al, this paper first puts forward a method to build the R-Q function curve and proposes an algorithm to cut search space of the base layer rate. Second, according to the optimization problem of single sequence, the paper proposes the improved FGSOPT_N algorithm. At last, some illustration examples are given to demonstrate and compare the effect of algorithms.
Keywords:	Fine Grained Scalable, Greedy Algorithm, Streaming Media System, Base Layer Rate
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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Title:	GREY FORECASTING AND NEURAL NETWORK MODEL OF SPORT PERFORMANCE
Author:	Weilong Xu , Hui Liu , Hai Huang
Abstract:	Results are the most important factor in competitive sports. If we can scientifically predict race results, it is bound to become a research focus of the sports competitions. In this paper, we use the gray prediction method and neural network theory to establish two prediction results model. Numerical experiments show that the model has high prediction accuracy.
Keywords:	Sport Performance, Grey System, Forecast, Neural Networks
Source:	Journal of Theoretical and Applied Information Technology March 2013 -- Vol. 49. No. 3 -- 2013
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