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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
January 2013 | Vol. 47 No.1

Title:	PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL
Author:	PARA KALPANA, Dr. A.LAKSHMI DEVI
Abstract:	Distributed generations (DGs) play an important role in distribution networks. Among many of their merits, loss reduction and voltage profile improvement are two of them. Studies show that non-optimal and non-optimal sizes of DG units may lead to increase in losses and poor voltage regulation. This paper aims at determining optimal DG location and sizing. The evaluation of best-site and size for DG unit is based on Long-Run Incremental Cost indicating the forward-looking network capacity cost at each node. By comparing DG connection cost with the decrement of the network capacity cost resulting from the DG capacity, the appropriateness of DG connecting to distribution network can be determined. On this basis, a heuristic approach is applied to identify best site and size of DG to guide the connection of DG. The proposed method is tested on an IEEE 33 bus radial distribution system.
Keywords:	Distributed Generation(DG), Long-Run Incremental Cost(LRIC)
Source:	Journal of Theoretical and Applied Information Technology pp 001 - 009 Vol. 47. No. 1 -- 2013
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Title:	STATIC ANALYSIS OF WAVELENGTH TUNING IN TWO SECTION INDEX COUPLED DFB LASERS USING THE TRANSFER MATRIX METHOD
Author:	H.BOUSSETA, A.ZATNI, A.AMGHAR, A.MOUMEN, A.ELYAMANI
Abstract:	The wavelength tuning is an important issue for distributed feedback (DFB) lasers designs and applications. In this paper we have presented an algorithm to analyze the wavelength tuning characteristics of two-section index-coupled (TS-IC) DFB lasers in above threshold regime, by the means of the transfer matrix method (TMM), and the carrier rate equation. The versatility of the theoretical model in the present work is demonstrated in an analysis of static characteristics of TS-IC-DFB lasers, which illustrated the important influence of coupling coefficient, cavity condition and injection current on the wavelength tuning. Therefore, The TS-IC-DFB lasers will be useful in optical communication systems using wavelength division multiplexed (WDM) networks.
Keywords:	Wavelength Tuning, Distributed Feedback (DFB) Lasers, Transfers Matrix Method (TMM), Static Characteristics
Source:	Journal of Theoretical and Applied Information Technology pp 010 - 017 Vol. 47. No. 1 -- 2013
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Title:	FAULT DETECTION WITH OPTIMUM MARCH TEST ALGORITHM
Author:	NOR AZURA ZAKARIA, W.Z.W. HASSAN, I.A. HALIN, R.M. SIDEK, , XIAOQING WEN
Abstract:	This paper presents a research work aimed to detect previously-undetected faults, either Write Disturb Faults (WDFs) or Deceptive Read Destructive Faults (DRDFs) or both in March Algorithm such as MATS++(6N), March C-(10N), March SR(14N), and March CL(12N). The main focus of this research is to improve fault coverage on Single Cell Faults as well as Static Double Cell Faults detection, using specified test algorithm. Transition Coupling Faults (CFtrs), Write Destructive Coupling Faults (CFwds) and Deceptive Read Destructive Faults (CFdrds) are types of faults mainly used in this research. The experiment result published in [1] shows BIST (Built-In-Self-Test) implementation with the new algorithm. It provides the same test length but with bigger area overhead, we therefore proposed a new 14N March Test Algorithm with fault coverage of more than 95% using solid 0s and 1s Data Background (DB). This paper reveals the design methodology to generate DB covers all memories function by applying non-transition data, transition data, and single read and double read data. The automation hardware was designed to give the flexibility to the user to generate other new March Algorithm prior to the selected algorithm and analyzed the performance in terms of fault detection and power consumption.
Keywords:	Deceptive Read Destructive Faults; Write Disturb Faults; March Test Algorithm
Source:	Journal of Theoretical and Applied Information Technology pp 018 - 027 Vol. 47. No. 1 -- 2013
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Title:	RULES – TL: A SIMPLE AND IMPROVED RULES ALGORITHM FOR INCOMPLETE AND LARGE DATA
Author:	HEBAH ABDULAZIZ ELGIBREEN, MEHMET SABIH AKSOY
Abstract:	In every aspect of life, many information is flowing around in which human can take advantage of. Thus, machine learning was born to gather such information and learn how it can autonomously deal with a certain problem. Different domains have grown to serve different purposes in the machine learning field. One of the mostly active domains in this field is Inductive Learning. One algorithm family developed in inductive learning is RULES. Specifically, it is a covering algorithm family where rules are directly induced from a given set of examples. However, two major deficiencies were found in the algorithms that belong to this family. They need to tradeoff between time and accuracy while searching for the best rule and incomplete data were inappropriately handled. Consequently, this paper proposes a new algorithm that is built based on RULES-6. It uses an advance machine learning method called “transfer learning” to gather the knowledge of other agents in different domains and use it as the base knowledge that would reduce the time of search. In addition, the transferred rules are also used to fill missing classes in order to consider not only the labels available in the target task but also the possibility of future cases. Finally, the performance of the proposed algorithm will be tested and compared to other rule induction algorithms to prove that it actually improved the accuracy, reduced the error rate, and consumed a small amount of time.
Keywords:	Rules Induction, Transfer Learning, RULES Family, Covering Algorithms, Inductive Learning
Source:	Journal of Theoretical and Applied Information Technology pp 028 - 040 Vol. 47. No. 1 -- 2013
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Title:	STRATEGIC BUSINESS AND IT ALIGNMENT: REPRESENTATION AND EVALUATION
Author:	KARIM DOUMI, SALAH BAÏNA AND KARIM BAÏNA
Abstract:	Nowadays, business IT alignment has become a priority in most large organization. It is a question of aligning the information system on the business strategies of the organization. This step is aimed at increasing the practical value of the information system and makes it a strategic asset for the organization. Many works showed the importance of documentation, the analysis and the evaluation of business IT alignment, but few proposed solutions applicable to the strategic and functional level. This paper aims has to fill this gap by proposing a simple approach for modeling and evaluate enterprise strategy in the context of strategic alignment. This approach is illustrated by case study of a real project in a Moroccan public administration.
Keywords:	Business IT Alignment, Goals Modeling, Enterprise Architecture, Information System, Evaluation, Metric
Source:	Journal of Theoretical and Applied Information Technology pp 041 - 052 Vol. 47. No. 1 -- 2013
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Title:	EMERGING AND PROSPERING TRENDS IN CRIME ANALYSIS AND INVESTIGATION SYSTEMS: A LITERATURE REVIEW
Author:	RIZWAN IQBAL, MASRAH AZRIFAH AZMI MURAD, NURFADHLINA BINTI MOHD SHAREF
Abstract:	Crime analysis and investigation systems play a critical role in battling crime and war against terrorism. This paper is a detailed literature review on current crime analysis and investigation systems developed to date. The reviewed literature is divided into two broad categories, "ontologies" and "clustering and classification". The paper encompasses a detailed discussion on systems belonging to both categories. During literature review, it was discovered that over the years evolving crime systems took inspiration from their predecessors, in terms of functionality and features. Therefore, some interesting trends were identified. These trends gradually prospered with the passage of time, strengthening the capabilities of the evolving systems. This paper discusses these trends in detail, and also anticipates the key features and design for the future generation of crime systems.
Keywords:	Crime Analysis And Investigation Systems, Ontologies, Clustering, Classification, Topic Detection And Tracking
Source:	Journal of Theoretical and Applied Information Technology pp 053 - 059 Vol. 47. No. 1 -- 2013
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Title:	A TWO-STEP FILTRATE LOCALIZATION METHOD FOR WIRELESS SENSOR NETWORKS
Author:	JUN ZHANG
Abstract:	In this paper, we address a wireless sensor network localization problem that has high reliability in an environment where physical node destruction is possible. We propose a range-independent localization algorithm called Two-Step Filtrate Localization (TSFL), that allows sensors to passively determine their location with high reliability, without increasing the number of reference points, or the complexity of the hardware of each reference point or node. Based on analyzing the principles of the two-step filtrate method, it is pointed out that the importance of the second step to determine the maximum distance estimation error conditions. In different attack mode, by the simulation of the algorithm’s security is discussed. The results of the simulation show the algorithm can get lower average positioning error, meantime malicious attacks have little side effects to location performance.
Keywords:	Sensor Network, Localization, Two-Step Filtrate
Source:	Journal of Theoretical and Applied Information Technology pp 060 - 063 Vol. 47. No. 1 -- 2013
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Title:	ARCHITECTURE OPTIMIZATION MODEL FOR THE MULTILAYER PERCEPTRON AND CLUSTERING
Author:	Mohamed ETTAOUIL, Mohamed LAZAAR, Youssef GHANOU
Abstract:	This paper presents an approach called Architecture Optimization Model for the multilayer Perceptron. This approach permits to optimize the architectures for the multilayer Perceptron. The results obtained by the neural networks are dependent on their parameters. The architecture has a great impact on the convergence of the neural networks. More precisely, the choice of neurons in each hidden layer, the number of hidden layers and the initial weights has a great impact on the convergence of learning methods. In this respect, we model this choice problem of neural architecture in terms of a mixed-integer problem with linear constraints. We propose the genetic algorithm to solve the obtained model. The experimental work for classification problems illustrates the advantages of our approach.
Keywords:	Multilayer Perceptron, Non-linear optimization, Genetic algorithms, Supervised Training, Clustering
Source:	Journal of Theoretical and Applied Information Technology pp 064 - 072 Vol. 47. No. 1 -- 2013
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Title:	NEW COMPUTATION TECHNIQUE FOR ENCRYPTION AND DECRYPTION BASED ON RSA AND ELGAMAL CRYPTOSYSTEMS
Author:	ZULKARNAIN MD ALI, JASSIM MOHAMMED AHMED
Abstract:	Cryptography addresses the necessary elements for secure communication that involved privacy, confidentiality, key exchange, authentication, and non-repudiation. This paper proposed a new computation of encryption and decryption that was based on the computation of RSA and ElGamal Cryptosystems. The RSA is a public key encryption system that gets its security from the difficulty of factoring large numbers. Meanwhile, the security of ElGamal is depends upon the difficulty of a certain problem that was related to compute Discrete Logarithms. The proposed technique shows better computation time compared to both cryptosystems. All computation time for each algorithm also presented at the end of this paper. However, this paper did not present the security of the technique over the RSA and ElGamal.
Keywords:	RSA, ElGamal, Encryption and Decryption
Source:	Journal of Theoretical and Applied Information Technology pp 073 - 079 Vol. 47. No. 1 -- 2013
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Title:	COMPUTATIONAL ANALYSIS OF THE SIMPLE SEQUENCE REPEATS IN MUCIN-6 OF FOVEOLAR CELLS
Author:	SIM-HUI TEE
Abstract:	In this study, a computational analysis has been carried out to investigate the patterns of the simple sequence repeats (SSRs) in mucin-6 mRNA gene of human foveolar cells. The computational analysis of SSRs is important because it can provide insight into the diseases generated by SSRs. Our results show that mucin-6 mRNA has a high relative frequency of dinucleotide and trinucleotide SSR motifs. The trinucleotide SSRs have special significance because they constitute the amino acid in the coding region of the gene. The analysis of trinucleotide SSRs shows that the motifs from the category T9 is highly repetitive. This research may provide insights into the biomedical research in the stomach pathogenesis that is implicated by SSRs in mucin-6 gene.
Keywords:	Bioinformatics, Simple Sequence Repeats, Mucin-6, Foveolar Cells, Genetic Analysis
Source:	Journal of Theoretical and Applied Information Technology pp 080 - 085 Vol. 47. No. 1 -- 2013
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Title:	FUZZY LOGIC FOR CHEMO INFORMATICS – A REVIEW
Author:	RAJESH REGHUNADHAN, V. ARULMOZHI
Abstract:	Fuzzy logic and fuzzy systems are gaining widespread acceptance in a large variety of fields, including but not limited to engineering, commercial, forecasting, artificial intelligence, etc. This paper is for beginners who try to use fuzzy logic in Chemoinformatics. Since, there are lot of uncertainties, vagueness and ambiguity during drug design and other simulations carried out in Chemoinformatics, there is a high need of understanding the ability of fuzzy logic in representing and modeling these parameters in much effective and efficient way. This paper presents an introductory review of fuzzy logic and its applications to Chemoinformatics.
Keywords:	Fuzzy Logic (FL), Membership Functions (MF), Semi-Circular Membership Function (SCMF), Fuzzy Rules (FR), Fuzzy Control (FC), Fuzzy Inference Systems (FIS), Chemoinformatics
Source:	Journal of Theoretical and Applied Information Technology pp 086 - 092 Vol. 47. No. 1 -- 2013
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Title:	HUMAN ERRORS IN COMPUTER RELATED ABUSES
Author:	AHMAD SALEHI SHAHRAKI, MEHRNAZ NIKMARAM
Abstract:	The term “Human error” can simply be defined as an error which made by a human. In fact, Human error is an explanation of malfunctions, unintended consequents from operating a system. There are many factors that cause a person to have an error due to the unwanted error of human. The aim of this paper is to investigate the relationship of human error as one of the factors to computer related abuses. The paper beings by computer-relating to human errors and followed by mechanism mitigate these errors through social and technical perspectives. We present the 25 techniques of computer crime prevention, as a heuristic device that assists. A last section discussing the ways of improving the adoption of security, and conclusion.
Keywords:	Human Errors, computer crime, Social Perspective, Technical Perspective
Source:	Journal of Theoretical and Applied Information Technology pp 093 - 097 Vol. 47. No. 1 -- 2013
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Title:	SURVEY: VIDEO FORENSIC TOOLS
Author:	AHMAD SALEHI SHAHRAKI, HAMED SAYYADI, MOHAMAD HUSSEIN AMRI, MEHRNAZ NIKMARAM
Abstract:	Due to extension of using CCTVs and the other video security systems in all areas, these sorts of devices have been introduced as the most important digital evidences to search and seizure crimes. Video forensics tools are developed as a part of digital forensics tools to analyze digital evidences and clear vague points of them for presenting in the courts Existing video forensics tools have been facilitated the investigation process by providing different features based on various video editing techniques. In this paper, some of the most popular video forensics tools are discussed and the strengths and shortages of them are compared and consequently, an alternative framework which includes the strengths of existing popular tools is introduced.
Keywords:	Forensic Tools; Video Forensic; Analysis Tools, CCTV
Source:	Journal of Theoretical and Applied Information Technology pp 098 - 107 Vol. 47. No. 1 -- 2013
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Title:	NARROW BAND INTERFERENCE MITIGATION IN DS-UWB SYSTEMS USING THE WAVELET TRANSFORM AND FFT
Author:	MOHAMED ALI ABDEL RAZEK, SAID BAYOMI, AHMED SAFWAT SADEK, IBRAHIM FATHY
Abstract:	Because of its importance, DS-UWB communication is an open research area, particularly in the context of its coexistence with OFDM based systems. In this paper, we present an analysis of the effect of the Narrow Band Interference of OFDM WLAN 802.11a systems, on the performance of BPSK-DS -UWB in terms of BER, along with a proposed interference mitigation technique based on both the discrete wavelet transform and the Fast Fourier Transform to improve the BER performance in the presence of the Narrow Band OFDM interfering signal. Simulation results show that the proposed method show an excellent performance especially at high signal to noise ratio.
Keywords:	DS-UWB, WLAN 802.11a, Wavelet
Source:	Journal of Theoretical and Applied Information Technology pp 108 - 114 Vol. 47. No. 1 -- 2013
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Title:	THE ROLE OF WEB-BASED GROUP DECISION SUPPORT SYSTEMS IN CLARIFYING THE COLLECTIVE INTELLIGENCE: MEASURING THE OUTCOMES
Author:	KHALED SALEH Al OMOUSH, RAED MUSBAH ALQIREM, MOHAMMAD IQBAL AJLOUNI
Abstract:	The main objective of this research is to develop a conceptual framework for exploring the role of GDSSs in shaping the dimensions of collective intelligence and the expected outcomes. The ever-increasing complexities and controversial challenges in today's business environment require organizations to be recognized as adaptive systems and be examined as an evolving intelligent being. An organization is intelligent only if it is able to nurture a high level of collective intelligence. The tremendous advances in Internet and Web applications bring impetus to Web-based Group Decision Support Systems (GDSSs) development as the most recent collective intelligence systems. Based on extensive literature review, six dimensions of collective intelligence were identified in this paper. These dimensions are freedom of mind, shared memory, knowledge sharing, collective perception, collective problem-solving, and collective learning. Furthermore, the study's framework identified four major expected outcomes, involving sense and response capability, relationship quality, decision making quality, and continuous organization learning.
Keywords:	Collective Intelligence, Web-Based Gdsss, Freedom Of Mind, Shared Memory, Collective Perception, Sense And Response Capability, Relationship Quality
Source:	Journal of Theoretical and Applied Information Technology pp 115 - 128 Vol. 47. No. 1 -- 2013
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Title:	ACCELERATING EMPHYSEMA DIAGNOSIS ON LUNG CT IMAGES USING EMPHYSEMA PRE-DETECTION METHOD
Author:	KHAIRUL MUZZAMMIL BIN SAIPULLAH, DEOK-HWAN KIM, NURUL ATIQAH ISMAIL
Abstract:	In this paper, we propose a simple but effective algorithm to increase the speed of Emphysema region classification. Emphysema region classification method based on CT image consumes a lot of time because of the large number of sub-regions due to the large size of CT image. Some of the sub-regions contain no Emphysema and the classification of these regions is worthless. To speed up the classification process, we create an algorithm to select Emphysema region candidates and only use these candidates in the Emphysema region classification instead of all of the sub-regions. First, the lung region is detected. Then we threshold the lung region and only select the dark pixels because Emphysema only appeared in the dark area of the CT image. Then the thresholded pixels are clustered into a region that called the Emphysema pre-detected region or Emphysema region candidate. This region is then divided into sub-region for the Emphysema region classification. The experimental result shows that Emphysema region classification using pre-detected Emphysema region decreases the size of lung region which will result in about 84.51% of time reduction in Emphysema region classification
Keywords:	Computer Aided Diagnosis, Emphysema, CT Image
Source:	Journal of Theoretical and Applied Information Technology pp 129 - 134 Vol. 47. No. 1 -- 2013
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Title:	COMPARISON OF FEATURE EXTRACTORS FOR REAL-TIME OBJECT DETECTION ON ANDROID SMARTPHONE
Author:	KHAIRULMUZZAMMIL SAIPULLAH, NURUL ATIQAH ISMAIL, AMMAR ANUAR, NURAISHAH SARIMIN
Abstract:	This paper presents the analysis of real-time object detection method for embedded system particularly the Android smartphone. As we all know, object detection algorithm is a complicated algorithm that consumes high performance hardware to execute the algorithm in real time. However due to the development of embedded hardware and object detection algorithm, current embedded device may be able to execute the object detection algorithm in real-time. In this study, we analyze the best object detection algorithm with respect to efficiency, quality and robustness of the algorithm. Several object detection algorithms have been compared such as Scale Invariant Feature Transform (SIFT), Speeded-Up Feature Transform (SuRF), Center Surrounded External (CenSurE), Good Features To Track (GFTT), Maximally-Stable External Region Extractor (MSER), Oriented Binary Robust Independent Elementary Features (ORB), and Features from Accelerated Segment Test (FAST) on the GalaxyS
Keywords:	Android, Computer Vision, Embedded Hardware, Mobile Application. OpenCV
Source:	Journal of Theoretical and Applied Information Technology pp 135 - 142 Vol. 47. No. 1 -- 2013
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Title:	FORAGING ALGORITHM FOR OPTIMAL REACTIVE POWER DISPATCH WITH VOLTAGE STABILITY AND RELIABILITY ANALYSIS
Author:	JAGANATHAN S, Dr. PALANISAMY S.
Abstract:	A novel bio-heuristic algorithm called Refined Bacterial Foraging Algorithm (RBFA) is proposed in the paper to solve the optimal power dispatch of deregulated electric power systems. The Optimal reactive power dispatch (OPD) problem has growing effect in modern electric power systems and the problem in need of to address the secure operation and optimal operation, with optimal location of FACTS devices, control of power flow based on stability indices and reliability analysis. So, this problem is well known as a multi-disciplinary and multi objective problem where in need of exact formulation and solution of the problem. The basic BFA is based on a metaphor of social interaction of E-coli bacteria the self adaptability of individuals in the group searching activities has attracted a great deal of interests in real word problems but it gives poor performance in global points when its applied to high dimensional and multi objective problems. To avoid the local optima and in order to track the good tracking ability of global solutions, the improved version of BFA algorithm is proposed and the proposed algorithm is called Refined Bacterial Foraging Algorithm (RBFA).The RBFA is improved version of the basic BFA with search direction phenomenon, variation of step sizes in chemotaxis behavior and variation of position updating process. The optimal dispatch problem consist of reactive power dispatch, optimal location of FACTS devices with transformer taps, real power loss and voltage stability margin are simultaneously optimized with effective controls and limits. The evaluation analysis of proposed work carried out with Standard IEEE systems. The simulation result shows the performance of RBFA is superior or comparable to that of the other algorithms and is greatly in terms of speed of convergence, optimization quality, robustness and fast convergence ability.
Keywords:	Bacterial Foraging Algorithm, Refined Bacterial Foraging Algorithm, Multi-Objective Optimization, FACTS Devices, Reactive Power Dispatch, Q-V Analysis, Stability Indices.
Source:	Journal of Theoretical and Applied Information Technology pp 143 - 157 Vol. 47. No. 1 -- 2013
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Title:	K-SCHEMA: A NEW APPROACH, BASED ON THE DISTRI-BUTION OF USER QUERIES, TO CREATE VIEWS TO MA-TERIALIZE IN A HYBRID INTEGRATION SYSTEM
Author:	SAMIR ANTER, AHMED ZELLOU, ALI IDRI
Abstract:	The explosion of information technologies and telecommunications has made easy the access and production of information. That is how a very large mass of the latter has generated. This situation has made the integration systems a major need. Among these systems, there is the hybrid mediator. The latter interrogates one part of data on demand as in the virtual approach, while charging, filtering and storing the second part, as views, in a local database. The choice of this second part is a critical task. This paper presents a selective approach, which based, essentially, to create these views, on the queries previously posed on the system. Based on the distribution of previous user queries, our approach extract all data most queried by users. The obtained data are classified as candidate views for materialization. Then selecting which one to materialize among all those created in the first step.
Keywords:	Information Integration; Hybrid Integration System; Materialization; Views Creation; K-Schema
Source:	Journal of Theoretical and Applied Information Technology pp 158 - 170 Vol. 47. No. 1 -- 2013
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Title:	A METHOD OF MICRO-SPHERE COMPLETE POSITION BASE ON PERPENDICULAR AXIS AND POSITIONING ACCURACY ANALYSIS
Author:	ZHAO XUESEN, GAO DANGZHONG, MA XIAOJUN, YAN YONGDA, SUN TAO
Abstract:	The vacuum adsorption is one of the most effective ways to handle micro sphere. To position a certainly place on micro sphere’s surface, the positioning principle realized by double shafting was firstly analyzed. A system combined with the atomic force microscope (AFM), the precision rotating air-bearing, assistant transform shaft, translation stage and vacuum adsorption devices was developed. Then the micro tube to adsorb the micro sphere was fabricated, and the positioning error was also analyzed with a positioning accuracy of approximately less than 5 degrees. Finally, the surface positioning experiment was carried out which indicated its feasibility. This method and device can also realize some surface traces on micro sphere during circumferential measurement and micro-machining.
Keywords:	Micro Sphere; Vacuum Adsorption; AFM; Perpendicular Axis; Positioning Accuracy
Source:	Journal of Theoretical and Applied Information Technology pp 171 - 175 Vol. 47. No. 1 -- 2013
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Title:	THE FORMAL TRIPLE I INFERENCE METHOD FOR LOGIC SYSTEM
Author:	MINXIA LUO, NI SANG, KAI ZHANG
Abstract:	In this paper, the formal triple I inference method based on logic system is investigated. Firstly, a new complete formal system , which is the schematic extension of uninorm logic system , is given. A complete many-sorted first-order formal system for fuzzy predicate logic is structured. Secondly, triple I solutions (including FMP-solutions, FMT-solutions) based on logic system are given. Lastly, triple I algorithms are formalized in logic system , and the strict logic proof of triple I algorithms are given. Moreover, the reductivities of the triple I algorithms are proved.
Keywords:	Fuzzy Logic, Fuzzy Reasoning, Triple I Algorithm, Many-sorted First-order Formal System, Logic System
Source:	Journal of Theoretical and Applied Information Technology pp 176 - 183 Vol. 47. No. 1 -- 2013
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Title:	USING D-S EVIDENCE THEORY TO EVALUATION OF CONFIDENCE IN SAFETY CASE
Author:	FUPING ZENG , MANYAN LU AND 3DEMING ZHONG
Abstract:	A safety case provides an explicit means for justifying the safety of a system through a reasoned argument and supporting evidence. However, the acceptance of a safety case requires the assessors to be confident, thus, there is some uncertainty of confidence in the safety case, and it becomes a key factor how to process the uncertainty in evaluating confidence in safety case. D-S evidence theory is fit for processing the subjective judgment and synthesizing the uncertain knowledge. So, this theory is applied to the uncertainty of assessment results. First, the related knowledge is given, including safety case and D-S evidence theory. Then the approach of evaluating confidence in safety case using D-S evidence theory is presented, and engine software is chosen as experimental example for proposed approach. At the same time, the experimental results based on the proposed approach are also presented. The algorithm has a strong versatility and an example is used to demonstrate its effectively in this text.
Keywords:	Safety Case, Uncertainty, Confidence, D-S Evidence Theory
Source:	Journal of Theoretical and Applied Information Technology pp 184 - 189 Vol. 47. No. 1 -- 2013
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Title:	RESEARCH ON GRAY APPRAISAL MODEL OF MCAI SOFTWARE
Author:	GU ZHENLI
Abstract:	This paper analyzes the quality factors that influence the MCAI software, and builds a MCAI software index system. Determine the relative importance weights with the help of the 0～4 rating method, which avoid the determinacy of the appraisal index only on the qualitative analysis and value judgment of one expert in the analytic hierarchy process. We employ lots of experts’s experience to determine the MCAI software appraisal index, thus the determinacy of appraisal index will be more objective and scientific. Meanwhile, the gray appraisal theory is applied in the MCAI software appraisal, and the gray appraisal model of MCAI software is build. The qualitative evaluation of MCAI software is transformed into quantitative analysis, which is the innovation of the MCAI software appraisal method.
Keywords:	MCAI Soft; Appraisal index system; Gray theory; Appraisal Model
Source:	Journal of Theoretical and Applied Information Technology pp 190 - 193 Vol. 47. No. 1 -- 2013
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Title:	A JPEG STEGANOGRAPHIC METHOD BASED ON SYNDROME-TRELLIS CODES
Author:	YE XUEYI, LU GUOPENG , WANG YUNLU, ZHANG YAN
Abstract:	Combining the Syndrome-Trellis Codes (STC) proposed recently, a new steganography method for JPEG images is presented in this paper. The method improves embedding efficiency by using the STC, and then preserves the DCT coefficient histogram statistic feature by constraining the proportion that are used for information embedding among the coefficients with the absolute value equal to one. Experimental results show that, compared with Jsteg and F5, the proposed method not only achieves a higher message capacity and embedding efficiency, also resists to histogram statistical steganalysis.
Keywords:	Steganography, JPEG, Syndrome-Trellis Codes, Embedding Efficiency
Source:	Journal of Theoretical and Applied Information Technology pp 194 - 200 Vol. 47. No. 1 -- 2013
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Title:	RESEARCH ON PROPERTIES OF E-PARTIAL DERIVATIVE OF LOGIC FUNCTIONS
Author:	WANG FANG
Abstract:	E-derivative [1] has accessed a wide range of applications in these areas and caused academia concerned [1-4], such as detecting faults in combinational circuits, discussing on cryptographic properties of H-Boolean function and revealing the internal structure of Boolean function together with Boolean derivative, thus more effectively analyzing the property of Boolean functions. Referring to the discussion on Boolean derivative and Boolean partial derivative, the concept of -partial derivative is presented. The definitions and properties of -partial derivative and high order -partial derivative are given. We also give their proofs for some properties. The work made in this paper is the complement and improvement of the research on the -derivative of logic functions.
Keywords:	Logic Function; -Derivative; -Partial Derivative; Special Operation Of Logic Function
Source:	Journal of Theoretical and Applied Information Technology pp 201 - 205 Vol. 47. No. 1 -- 2013
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Title:	THE CACHE REPLACEMENT POLICY AND ITS SIMULATION RESULTS
Author:	ZHU QIANG, SUN YUQIANG
Abstract:	To optimize the multimedia proxy server effectively, this paper proposes a gain-based cache replacement policy by using the multimedia proxy server gain model. The performance of the proposed gain-based policy is evaluated by simulation experiments.
Keywords:	Multimedia Proxy Server, Media Data Object, Cache Replacement
Source:	Journal of Theoretical and Applied Information Technology pp 206 - 211 Vol. 47. No. 1 -- 2013
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Title:	INQUIRY LEARNING IN THE VIRTUAL-ACTUAL FUSION ENVIRONMENT AND ITS APPLICATION IN ENVIRONMENTAL EDUCATION
Author:	ZHANG JIANPING, XU WEI
Abstract:	With the rapid development of information technology, higher attention is paid on the cultivation of innovative talents. Inquiry learning activities carried out in traditional learning environment which is based on pure “real” environment inside and outside the school or the ones entirely depending on the pure network “virtual” environment have gradually revealed their shortcomings. The “virtual-actual fusion environment” is proposed for the current status of inquiry learning environment. This study will firstly identify the conception and typical characteristics of this kind environment, constructing a “learning environment—learning model” coordinate system to discuss inquiry learning in the fusion environment. And then the paper will introduce the application in Environmental education by taking CEIS (Campus Environment Information System) project for example. At last, it proposes several important points for follow-up study.
Keywords:	Learning Environment; Inquiry Learning; Learning Model; Environmental Education; CEIS (Campus Environment Information System)
Source:	Journal of Theoretical and Applied Information Technology pp 212 - 218 Vol. 47. No. 1 -- 2013
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Title:	COMMENT ON POPULAR VIEWS OF INDUSTRIAL CONTROL AUTOMATION TECHNOLOGY
Author:	YAN GUANG-PING, CHEN DONG-SONG
Abstract:	Industrial Control Automation Technology is a kind of integrated technology that uses Control theory, instruments and apparatuses, computer and other information technology. At the same time, it makes the process of industrial production come to the detection, control, optimization, operation, management and decision making, get to the objective target about improving production, increasing quality, decreasing consumption, securing safety. The article will mainly analyze and state the popular technology from eight aspects, hope to bring reference and inspiration to the experts of this field.
Keywords:	Industrial Control Automation; Technology; Comments
Source:	Journal of Theoretical and Applied Information Technology pp 219 - 223 Vol. 47. No. 1 -- 2013
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Title:	RESEARCH AND APPLICATION THE MEASURING AND CONTROLLING INSTRUMENT OF MOUNTAIN GREENHOUSES
Author:	MA JIWEI, LUN CUIFEN, LIN ZHIPENG, ZHUANG CHENG, LU WEINA, LIN HONGJU
Abstract:	This system uses a new single-chip computer extends MAX485 serial communication module and wireless transceiver chip nRF905. According to the scale of greenhouse and wiring, the instrument communication mode can flexibly set -- a wired or wireless communication. The PC communication interface design enables PC to communicate with the network relay node and manage the system by wired communications and also by wireless communications. This system has been successfully applied to parameters measurement and control of our experimental base and the surrounding greenhouses.The results showed that the system is facilitate to expand, it has flexible network, low construction cost, which laid foundation for the modernization management of large agricultural facilities.
Keywords:	Mountain Greenhouses, Environmental Parameter, Local Area Network, Means Of Communication
Source:	Journal of Theoretical and Applied Information Technology pp 224 - 228 Vol. 47. No. 1 -- 2013
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Title:	PASSIVE LOCATION ALGORITHM USING KUSHNER EQUATION
Author:	ZHONG LIU, JING-BO HE
Abstract:	Kalman filtering algorithm is an effective linear filter, but in the nonlinear state its covariance is uncontrolled. Kushner equation is effective for the nonlinear filtering. According to the Kushner equation and the nonlinear of passive location, a new passive location algorithm based on the Kushner equation is presented. And it is used in passive location tracking. Experiments are made in MATLAB and its validity is proved.
Keywords:	Kushner Equation, Passive Location, Electronic Support Measures
Source:	Journal of Theoretical and Applied Information Technology pp 229 - 232 Vol. 47. No. 1 -- 2013
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Title:	ON THE APPLICATION OF WAVELTE ANALYSIS AND APPROXIMATE ENTROPY IN PILE FOUNDATION INSPECTION
Author:	XIE HONGYANG, LIAO YICHEN
Abstract:	The concrete quality rating of pile foundation often adopts the PSD multi-parameter synthesis method, but due to the discontinuous characteristics and random disturbance of concrete material itself, mistakes will be resulted from in the pile foundation inspection process, during which the singular signal will interfuse. This paper uses the wavelet transform to decompose the suspected defect signals of the pile foundation, and introduces the disordered degree of approximate entropy quantitative characterization. The results show that the signal amplitude of defect signals in high frequency band attenuates, the waveforms are mixed and disordered, and the approximate entropy value is big. Thus, the suspected defects can be judged. The engineering example has proved the effectiveness of this method in the pile foundation inspection.
Keywords:	Wavelet Analysis; Approximate Entropy; Pile Foundation Inspection
Source:	Journal of Theoretical and Applied Information Technology pp 233 - 237 Vol. 47. No. 1 -- 2013
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Title:	STUDY ON QUANTUM ZERO KNOWLEDGE PROOF SYSTEM
Author:	XIAOQIANG GUO, YAN YAN, LICHAO FENG SHIQIU ZHENG
Abstract:	Zero-knowledge proof is a very interesting problem in modern cryptography, which attracts the attention of many cryptographers, and there are plenty of researches. It is one of the hot research field in cryptography. First, we made a simple introduction of zero-knowledge proof. Then we had given a perfect quantum zero knowledge proof system on a specific NP – complete problem "graph 3-coloring"( G3C ). And we use reduction structure to promote any NP – complete problem. At last, we introduced the applications of zero knowledge proof in cryptography.
Keywords:	Quantum Zero-Knowledge Proof, Cryptography, Graph 3-Coloring, Information Security
Source:	Journal of Theoretical and Applied Information Technology pp 238 - 241 Vol. 47. No. 1 -- 2013
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Title:	AN OFFICE AUTOMATIC MARKING SYSTEM RESEARCH AND IMPLEMENTATION
Author:	YOUCHAN ZHU, FENG SHEN
Abstract:	The Microsoft Office Automation Marking System has two ways for marking, recording the operating steps and analyzing the result documents. The method of recording the operating steps has a disadvantage of difficult programming and low adaptability. And the other method has many implementations, but also has the shortage of examination restriction because of the uncompleted analysis of the office objects and low speed. Taking all of these into consideration, this paper addresses an implementation of using c# language and COM technology to analyze the interface methods of each application on the platform of Microsoft Visual Studio 2008, and aiming at the technical difficulties exist in the development process, such as the organization of knowledge, the transfer mode of test points, the positioning and extraction of test points during marking. It also gives the solution, and explains the logic and implementation steps in detail taking word as an example. Relative to recording the operating steps, it has the advantages of easy programming, easy system maintenance, non-limit of operating scope and good adaptability.
Keywords:	Office Automation marking, COM technology, Data Base Access
Source:	Journal of Theoretical and Applied Information Technology pp 242 - 245 Vol. 47. No. 1 -- 2013
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Title:	STUDY ON TAXI SYNERGIC OPERATION DISPATCH SYSTEM BASED ON INFORMATION INTEGRATION
Author:	GUOQIANG PAN
Abstract:	The current taxi operation mode features high ratio of vacant taxies roaming the streets, while lots of potential customers complaining being unable to find a taxi. The major reason for this inefficiency is that the current taxi dispatch system is incapable of exchanging information between taxi drivers, customers and the dispatch system in a real-time manner. This paper presents an approach to a taxi synergic operation dispatch system based on GPS and GMS technologies. With this new system, the potential customers send taxi service requests by mobile phones to the taxi dispatch center, which after collecting the service requests locates the effective taxies within the effective areas and sends them dynamic service requests simultaneously. The system enables the synergic operation by continuously matching the dynamic demands and supplies of taxi services, hence greatly improves the overall taxi operation efficiency.
Keywords:	Taxi, Synergic Operation, Dispatch System, Information Integration
Source:	Journal of Theoretical and Applied Information Technology pp 246 - 250 Vol. 47. No. 1 -- 2013
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Title:	APPLICATION OF NESTED COST OPTIMIZATION MODELS TO TSPD
Author:	XIA WEN- HUI, LIU JUAN-HONG, ZENG HONG
Abstract:	Through the analysis of Travelling Salesman Problem with Pickup and Delivery (TSPD) in the related research, two kinds of logistics systems including whole logistics system and partial logistics system under one-to-many logistic network are considered. And mathematical model is set up, then, nested cost optimization model is set up in order to meet the constraint condition of nested order cycle time. According to an application pickup and delivery instance of iron and steel in one factory, by using the method of adaptive response surface in Hyperstudy software, the initial solutions are figured out, and further the optimum direction of iteration is found so as to obtain the optimum solution.
Keywords:	Nested, Logistics System, Pickup and Delivery, Cost models, Optimal Solution
Source:	Journal of Theoretical and Applied Information Technology pp 251 - 255 Vol. 47. No. 1 -- 2013
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Title:	STUDY ON MINE-MAPS DYNAMIC MANAGEMENT INFORMATION SYSTEM BASED ON WHOLE LIFECYCLE
Author:	HUJUN HE, YANING ZHAO, XINGKE YANG, WENGAO ZHANG, CUIXIA QU
Abstract:	According to the shortcoming of traditional artificial management mine-maps, the solutions of dynamic management digital mine-maps were proposed. Analyzing of the main tasks and characteristics in lifecycle stages of mining engineering maps, based on the idea and meaning of lifecycle, first we divided mine-maps lifecycle into seven stages, such as design drawing task assignation, design drawing, review approval, use and execution, revision, cancellation, qualitative archiving. Then put forward concept and system model of mine-maps lifecycle management, design B/S three layer network structure of mine-maps dynamic management information system on the basis of whole lifecycle, function modules of each subsystem by using CAD technology, ASP technology and database technology. Finally, we discussed the key technologies implementation of system as parametric drawing technology, database connection, online review and cooperative design etc. Field application shows that realization of whole lifecycle management automatization for mine engineering drawings improves office efficiency.
Keywords:	Whole Lifecycle, Mine-map, Dynamic Management, Information System, CAD
Source:	Journal of Theoretical and Applied Information Technology pp 256 - 260 Vol. 47. No. 1 -- 2013
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Title:	FLAW IDENTIFICATION OF METAL MATERIAL IN EDDY CURRENT TESTING USING NEURAL NETWORK OPTIMIZED BY PARTICLE SWARM OPTIMIZATION
Author:	ZHAO LIANG, Yuxin Mao
Abstract:	As an NDT technology, Eddy current testing is widely used to identify the surface flaw of metal material. However, due to the complex relationship between the test results and the flaw’s shape, the identification is qualitative in most situations. In the paper, a neural network optimized by particle swarm optimization (PSO) is used to quantify the detection result tentatively of the fault on the subsurface of the metal material. Here, PSO is used to optimize the weight value and the threshold value of the BP neural network. According to the experiment, forecasting geometric dimension of the flaws in conductor by PSO-optimized neural network is relatively ideal.
Keywords:	Neural Network, PSO, Eddy Current Testing, Surface Fault Identification
Source:	Journal of Theoretical and Applied Information Technology pp 261 - 265 Vol. 47. No. 1 -- 2013
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Title:	RESEARCH OF THE WORKFLOW MANAGEMENT SYSTEM BASED ON MICROKERNEL
Author:	ZHISONG HOU, ZHOU YU
Abstract:	Based on the analysis of limitation of existing workflow management system, a workflow management system based on micro kernel is researched and designed. In this system, a micro kernel based workflow engine is designed by separating the service implementation and activity scheduling; the workflow engine interface is defined to connect the related workflow components seamlessly; and then graphics oriented business process modeling is achieved by adopting digraph based business process model. Furthermore, workflow client and administration tools based on Web technology are implemented. The results show that: all this improves the flexibility of the workflow engine in system architecture and reduces the cost of reconstruction and maintaining; at the same time, the user experience is improved.
Keywords:	Micro Kernel, Workflow, Workflow Management System, Directed Graph, Workflow Engine
Source:	Journal of Theoretical and Applied Information Technology pp 266 - 271 Vol. 47. No. 1 -- 2013
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Title:	A NEW QFD-BASED QUANTITATIVE MODEL FOR ADAPTABILITY EVALUATION OF ENTERPRISE INFORMATION SYSTEMS
Author:	HAIWANG CAO, LIUYANG WU, CHAOGAI XUE
Abstract:	This paper deals with a new quantitative model for adaptability evaluation of enterprise information systems (EIS). Firstly, a new evaluation model based on QFD is proposed, and the corresponding evaluation algorithm is given. Secondly, the procedures of EIS adaptability evaluation are discussed. Finally, the application of the evaluation model and algorithm is verified through an example, which provides quantitative references for optimizing EIS adaptability.
Keywords:	Adaptability Evaluation, Quality Functional Deployment (QFD) Enterprise Information Systems
Source:	Journal of Theoretical and Applied Information Technology pp 272 - 276 Vol. 47. No. 1 -- 2013
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Title:	STUDY ON QUANTUM OBLIVIOUS TRANSFER AND QUANTUM BIT COMMITMENT
Author:	XIAOQIANG GUO, CUILING LUO YAN YAN
Abstract:	Oblivious Transfer and Bit Commitment are typical foundation agreements to secure multi-party computations. Both of them are hotspots in the field of information security. Using of the quantum channel and the principles of the quantum mechanics, Quantum Oblivious Transfer can be achieved higher security and higher efficiency than the Classic Oblivious Transfer, while it also has a unique advantage in found eavesdropping. Quantum Bit Commitment scheme can be used to build up zero knowledge proof, verified secret sharing, throwing coins etc agreements. We had given out a very novel QOT scheme based on three-particle entangled states. And we had investigated unconditional secure Quantum Bit Commitment existence. At last, we constructed a new bit commitment model – double prover bit commitment. The Quantum Bit Commitment Protocol can be resistant to errors caused by noise.
Keywords:	Quantum Oblivious Transfer, Quantum Bit Commitment, Secure multi-party computations, Information Security
Source:	Journal of Theoretical and Applied Information Technology pp 277 - 281 Vol. 47. No. 1 -- 2013
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Title:	RESEARCH ON MUTUAL COUPLING CORRECTION OF ARRAY OUTPUT SIGNAL BY BP NETWORK
Author:	BIN PEI, HUI HAN, YANJUN ZHANG, YING SHENG, SHIJI YUAN
Abstract:	The method of mutual coupling correction of array output signal is studied in the paper. According to array signal processing’s feature, array error model is analyzed and array mutual coupling is studied. The method that smart antennas’ channel calibration by BP network in wireless communication is proposed, which improves the accuracy of algorithms , such as the DOA estimation algorithm, Beam Forming algorithm etc. 8-unit uniform linear array and 8-unit uniform circular array are simulated by computer, and the results are compared with spatial spectrum lines of before-after correction. The proposed method is effective, for computer simulation experimental results are in line with the theoretical ones.
Keywords:	BP Network, Array Antenna, Channel Calibration
Source:	Journal of Theoretical and Applied Information Technology pp 282 - 286 Vol. 47. No. 1 -- 2013
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Title:	PARALLEL MRI RECONSTRUCTION USING SVD-AND-LAPLACIAN TRANSFORM BASED SPARSITY REGULARIZATION
Author:	JING BIAN, YAMING WANG, HUAXIONG ZHANG, LITAO ZHU, MINGFENG JIANG
Abstract:	The SENSE model with sparsity regularization acts as an unconstrained minimization problem to reconstruct the MRI, which obtain better reconstruction results than the traditional SENSE. To implement the sparsity constraints, discrete wavelet transform (DWT) and total variation (TV) are common exploited together to sparsify the MR image. In this paper, a novel sparsifying transform based on the combination of singular value decomposition (SVD) and Laplacian (LP) transform is proposed for parallel MR image reconstruction. The proposed algorithm adopts the SVD of the MR image as sparsifying transform instead of exploiting the wavelet domain sparsity of the image, and uses the LP-norm as an alternative to TV-norm in the sparsity regularization term. The performances of the proposed method are evaluated on two typical types of MR image (complex brain MR image and sparse angiogram MR image). Compared with the DWT-TV sparsifying transform, the proposed SVD-LP method can significantly achieve better reconstruction quality and considerably improve the computation efficiency.
Keywords:	SENSE Reconstruction, Singular Value Decomposition, Laplacian Transforms, Sparsity Regularization
Source:	Journal of Theoretical and Applied Information Technology pp 287 - 295 Vol. 47. No. 1 -- 2013
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Title:	TWO-DIMENSIONAL MAXIMUM MARGIN PROJECTION FOR FACE RECOGNITION
Author:	YOUMAO BAI, ZIQIANG WANG, XU QIAN
Abstract:	To effectively cope with the high dimensionality problem in face recognition, a novel two-dimensional maximum margin projection (2DMMP) algorithm for face recognition is proposed in this paper. Specially, 2DMMP is based on the maximum margin projection (MMP) and fully considers the intrinsic tensor structure of face image. By utilizing both local manifold structure and discriminative information, as well as characterizing the correlations among pixels with the tensor structure, 2DMMP can effectively project the high-dimensional face image space into lower-dimensional feature space for face recognition. Experimental results on three face databases show that the proposed 2DMMP algorithm outperforms other related algorithms in terms of recognition accuracy.
Keywords:	Face Recognition, Maximum Margin Projection (MMP), Tensor Structure, Manifold Learning
Source:	Journal of Theoretical and Applied Information Technology pp 296 - 302 Vol. 47. No. 1 -- 2013
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Title:	CHANNEL CODING SIMULATION RESEARCH OF INTER-SATELLITE SPREAD SPECTRUM COMMUNICATION SYSTEM
Author:	GUOQIANG WU, DONGSHENG ZHAO, YUGUANG BAI, ZHAOWEI SUN, LILI WANG
Abstract:	This paper considers proposing the mathematical model and simulation mode of inter-satellite channel based on the reliability of inter-satellite communication system. The Monte Carlo method is adopted to develop the spread spectrum communication system of two consumers. In order to reduce the bit errors of inter-satellite communication, both spread spectrum communication technology and channel coding technology are brought forward under inter-satellite channel. A simulation is given to illustrate that the combined application of spread spectrum communication technology and channel coding technology can achieve ideal performance.
Keywords:	Spread Spectrum Communication, Convolutional Code; Channel Coding; Sine Interference
Source:	Journal of Theoretical and Applied Information Technology pp 303 - 307 Vol. 47. No. 1 -- 2013
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Title:	NETWORK INTRUSION BASED ON CLOUD NETWORK
Author:	BOHAN
Abstract:	This work aimed at the cloud cluster cyber source intrusion and malicious behavior, analyzes the attack mode, studied its intrusion detection method, the design of intrusion detection system model and structure. System can be effective for cloud service network to provide safe, effective cloud pool resources protection and cluster service guarantee, can effectively prevent, detect intrusion behavior based on cloud services.
Keywords:	Cloud Services, Yun Chi, Network Intrusion
Source:	Journal of Theoretical and Applied Information Technology pp 308 - 312 Vol. 47. No. 1 -- 2013
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Title:	A COMBINED FORECASTING METHOD OF WIND POWER CAPACITY WITH DIFFERENTIAL EVOLUTION ALGORITHM
Author:	JIANJUN WANG, HONGYANG ZHANG, ZHANGYI PAN, LI LI
Abstract:	As wind power is a mature and important renewable energy, wind power capacity forecasting plays an important role in renewable energy generation’s plan, investment and operation. Combined model is an effective load forecasting method; however, how to determine the weights is a hot issue. This paper proposed a combined model with differential evolution optimizing weights. The proposed model can improve the performance of each single forecasting model of regression, BPNN and SVM. In order to prove the effectiveness of the proposed model, an application of the China’s wind power capacity was evaluated from 2000 to 2010. The experiment results show that the proposed model gets the maximum mean absolute percentage error (MAPE) value 1.791%, which is better than the results of regression, BPNN and SVM.
Keywords:	Capacity Forecasting, Differential Evolution Algorithm, Wind Power
Source:	Journal of Theoretical and Applied Information Technology pp 313 - 317 Vol. 47. No. 1 -- 2013
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Title:	A GENERALIZED MULTIFRAME REAL-TIME TASK MODEL UPON HETEROGENEOUS MULTIPROCESSORS SYSTEM
Author:	YAN LIU, CHENG XU, LIDONG WANG
Abstract:	The task scheduling problem is one of the basic research areas in computer science especially in real-time systems. Current task scheduling based on heterogeneous multiprocessors system rarely consider the multiframe character of real-time tasks, which assumes a worst-case execution time bound for every task and maybe too pessimistic if the worst-case execution time of task is much longer than the average. Given in this paper is a generalized multiframe real-time task model upon heterogeneous multiprocessors systems based on period task model. It is proved that this model’s schedulability is better than period task model. We investigate the schedulability problem for this model for the preemptive fixed priority scheduling policy using genetic algorithm. The scheduling test is given as utilization based and exact worst case response time. The experiments results show that the using response time analysis is better than the utilization based method, and the analysis is applicable to different system model.
Keywords:	Real-time System, Task Model, Response Time
Source:	Journal of Theoretical and Applied Information Technology pp 318 - 325 Vol. 47. No. 1 -- 2013
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Title:	ANALYSIS ON INFLOWS OF INDEX INVESTORS AND DETERMINANTS OF FUTURES PRICE
Author:	YONGJI ZHANG, QINGBIN MENG, YIN SUN
Abstract:	In this paper, based on a description of the four major players of commodity spot and futures markets, we establish a multi-phase equilibrium model of price determination, and then analyze the influence of the entry of a large number of index investors on the risk premium, inventory management, and different traders’ positions of commodity futures. The result shows that, the correlation between the stock market and commodity futures markets, the index investors’ entering and demanding for commodity spot both are important factors to decide the price of the commodity futures market and the trader behavior. The empirical results also support this view.
Keywords:	Commodity Future Market, Index Trader, Risk Premium, Position
Source:	Journal of Theoretical and Applied Information Technology pp 326 - 333 Vol. 47. No. 1 -- 2013
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Title:	APPLICATION OF HGML-BASED FIRE DATA MANAGEMENT IN FIRE COMMAND SYSTEM
Author:	LEI CAO, FANG MIAO, WENHUI YANG
Abstract:	In recent years, many experts and technicians have done extensive research in many respects such as the computer software for fire, experimental simulation, material thermal physical measurement, which put forward the Fire prediction theory, and these theoretical results were data-centric, existing in the form of multi-source heterogeneous. The existing fire service system can't make vast amounts of multi-source heterogeneous fusion effectively, and it can't timely organize and analyze the data, for it is lacking the comprehensive analysis function. This paper, based on the hyper geographical markup language HGML and Fire spreading algorithm model, designed a kind of fire data management, which can be applied to rescue command simulation systems. The system can make the geographic coordinates of the scene of fire and the multi-source heterogeneous data fusion effectively. And it can comprehensively analyze the date and use 3D simulation of the scene to put forward the aided decision and rescue plan. The HGML-based rescue command simulation system can command the firefighting effectively, which played an important role for the fire service.
Keywords:	HGML, Space-time Deduction, 3D Simulation, Fire Protection System
Source:	Journal of Theoretical and Applied Information Technology pp 334 - 342 Vol. 47. No. 1 -- 2013
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Title:	CHINESE-MINING PREPROCESSING TECHNOLOGY BASED ON TEXT TRAIT OPTIMIZING
Author:	XIAOYONG WANG , SIYOU XIAO，FANG YUEFENG
Abstract:	How to get the target text quickly becomes a technical limitation with the using of massive data. While obtaining the Chinese target information, the segmentation of the sentence is supposed to be the key according to research. To mine the segmentation of English text is relatively simple for the space is used as a interval, meanwhile the Chinese segmentation is much more difficult. So in this paper the reciprocal crossing segmentation algorithm and the trait-optimizing vector model are designed to improve the mining efficiency of Chinese information. Based on dictionary, an improved segmentation algorithm is adopted in text pretreatment processing, which is based on vector space module, to do experiments on the segmentation algorithm and to analyze the segmentation results. And that segmentation algorithm is already proved to be very effective in the text mining of text trait vector module.
Keywords:	Reciprocal Crossing Matching, Mutual Information, Information Gain, Expected Crossing Entropy, Ce2 Statistics
Source:	Journal of Theoretical and Applied Information Technology pp 343 - 348 Vol. 47. No. 1 -- 2013
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Title:	CHAOS OF HENON MAP BASED ON THE COUPLED NETWORKS
Author:	XUELIAN SUN, KUIFENG ZHENG, LIDONG WANG, WEI ZHAO, XUEFENG SUN
Abstract:	In this paper, the relationship between the parameters of Henon map is studied, and the chaos of Henon map is also discussed based on different coupled networks. From the simulate results, we found with the increasing of parameter a the chaos of Henon map will be emerged. At the same time, the transition from non-chaotic to chaotic in coupled networks is exhibited, although the parameters in non-chaotic regions before they are coupled together.
Keywords:	Henon Map, Chaos, Lyapunov Exponent, Coupled Networks
Source:	Journal of Theoretical and Applied Information Technology pp 349 - 354 Vol. 47. No. 1 -- 2013
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Title:	LC FEATURES COMBINED CHIRPLET TRANSFORM AND FRACTAL THEORY ON HIGH VOLTAGE INSULATORS
Author:	ALI HUI, HUI LIN
Abstract:	The voltage grade of electrical transmission line is getting higher and higher, consequently, flashover of transmission insulators is getting more and more severe in high-voltage (HV) and ultra-high-voltage (UHV) systems under serious pollutions, which menaces the safety of power transmission system heavily. The crux to enhance the security of power system is to discover ways of monitoring states of insulator’s surface by some eigenvalues. A new method, combined chirplet transform with fractal theory, was proposed in this paper, and is taken as the ruler to define fractal dimension, which is used to describe characteristics of signals. Chirplet-fractal dimension is defined as the sum of residues of decomposed signals. The fractal characteristics of leakage current during flashover are obtained from this dimension. The results show that the chirplet-fractal dimension efficiently describes the information of arcs discharge in LC, and it is also a good eigenvalue for flashover discrimination and risk prediction.
Keywords:	Fractal Dimension, Chirplet Transform, Non-stationary Signal, Leakage Current, Flashover
Source:	Journal of Theoretical and Applied Information Technology pp 355 - 361 Vol. 47. No. 1 -- 2013
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Title:	ANALYSIS ON EFFECT OF EXCITATION FREQUENCY ON NONLINEAR CHARACTERISTICS OF A GEAR PAIR SYSTEM BASED ON NUMERICAL SIMULATION
Author:	JUNGANG WANG, YONG WANG, ZHIPU HUO
Abstract:	A nonlinear dynamic model of the geared rotor system, with consideration of the bearing clearances and gear backlashes, is established. A numerical algorithm based on Runge–Kutta-Butcher method is used to study the nonlinear behaviors of the system accounting for the effects of different excitation frequency. A detailed parametric research is conducted to analyze the influences of the excitation frequency on the nonlinear characteristics of the system. The final goal of the work is to study bifurcation and chaotic behavior of a gear pair model that includes nonlinearities due to bearing and teeth backlash. The analyses are performed in a parametric manner using non-dimensional excitation as bifurcation parameters. The results show that the different excitation frequency can significantly influence the nonlinear dynamic responses.
Keywords:	Nonlinear Response, Excitation Frequency, Bifurcation Phenomena
Source:	Journal of Theoretical and Applied Information Technology pp 362 - 368 Vol. 47. No. 1 -- 2013
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Title:	AN EVOLUTION SCHEME FOR BUSINESS RULE BASED LEGACY SYSTEMS
Author:	HAN LI, HE GUO, HUI GUAN, XIN FENG, YANG XU, HONGJI YANG
Abstract:	Business rules are compact statements that depict important aspects of business processes. For most enterprises, business rules are embedded in the information systems. As change is inherent in software, information systems turn into legacy ones and their documentations may not reflect the actual business logics. Thus, business rules in legacy systems become significant investments, and it is necessary to evolve legacy systems without simply getting rid of the embedded business rules. This paper studies the scheme of business rule-based legacy systems evolution. To locate valuable functionalities, reengineering techniques are used to comprehend legacy system. Then business rules are extracted from these functionalities by means of information flow analysis and decomposition slicing. Since service-oriented architecture is flexible to reuse components and connect components with changes in business, business rules are stored and managed by a service-oriented business rule management system. A case study is illustrated to show the scheme can preserve valuable business rules, facilitate evolving business rule-based legacy systems, and involve non-technical users to business related software evolution.
Keywords:	Business Rule, Legacy System, Evolution, Service-Oriented, Reengineering
Source:	Journal of Theoretical and Applied Information Technology pp 369 - 376 Vol. 47. No. 1 -- 2013
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Title:	A PURSUIT-EVASION GAME ALGORITHM BASED ON RAPID-RESPONSE VIRTUAL FORCE MODEL
Author:	JING LI, QI LI, HAITAO JIA
Abstract:	One-on-one pursuit evasion game is the ideal research project for optimal search of agent. Without primal information about circumstance and evasion, it is helpful of enlighten search model for suiting to evade game. Virtual Force Model is one of most common enlighten random model. But it will make a center vibration in balance circumstance. This paper presents a rapid response virtual force model, which will rapidly generate the enlighten information and also solve the problem of center vibration. The simulation shows that the Rapid Response Virtual Force Model can achieve the optimal search for agent.
Keywords:	Pursuit-Evasion Game, Optimal Search, Virtual Force Model, Random Walk Mobility Model
Source:	Journal of Theoretical and Applied Information Technology pp 377 - 382 Vol. 47. No. 1 -- 2013
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Title:	A SOFTWARE QUALITY EVALUATION METHOD BASED ON THE PRINCIPLE OF MAXIMUM COORDINATION AND SUBORDINATION
Author:	XINYU GENG, LI YANG, XIAOYAN HUANG
Abstract:	Software quality evaluation is an important issue in software development. In this work, we investigate the characteristics of software quality and discuss the evaluation attributes of software quality. We then present existing commonly used software evaluation methods. For the limitations of the existing methods, we propose to apply the principle of maximum coordination and subordination to the software quality evaluation. Our method achieves relatively good results in experiment validation.
Keywords:	Software Quality Evaluation, Evaluation Attributes, Principle of Maximum Coordination and Subordination
Source:	Journal of Theoretical and Applied Information Technology pp 383 - 387 Vol. 47. No. 1 -- 2013
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Title:	SELF-CONFIGURATION CONTROL TECHNOLOGY FOR HVAC COOLING AND HEATING SYSTEM
Author:	JINMING YANG
Abstract:	Relative to the traditional control techniques, self-configuration technology can bring many benefits for the HVAC engineers, building owners, construction managers and anyone associated with facilities management system. The key of this technology is the dedicated controller built-in general control software and friendly HMI (human-machine interface). The general control software uses the object-oriented programming techniques which based on packaged data models for both HVAC facilities and control instruments, and the models perfectly combine the process features and control features. This mechanism makes it very easy to build a control system for HVAC cooling and heating source system and has the enormous flexibility and adaptability. At the same time, the complex process of construct the control system does not need control experts to complete.
Keywords:	Self-configuration, Data Model, HVAC Cooling and Heating System, Controller
Source:	Journal of Theoretical and Applied Information Technology pp 388 - 392 Vol. 47. No. 1 -- 2013
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Title:	APPLICATION OF UNCERTAIN NONLINEAR SYSTEMS PARTIAL STATE VARIABLES TO SYNCHRONIZATION CONTROL FOR RÖSSLER SYSTEMS
Author:	YANJUN LIANG, YUNTONG LIU
Abstract:	Partial state variables stabilization control of uncertain nonlinear systems is developed for chaos systems synchronization control. Response systems are constructed for uncertain Rössler systems. In order to make response systems track the drive systems asymptotically stable, error systems with uncertain and nonlinear factors are designed. Using partial state stability theory of nonlinear systems and adaptive control method, a Lyapunov function is constructed for the uncertain nonlinear error systems, and partial state variables stabilization controller and adaptive regulators are designed. Employing Lyapunov stability theory, we prove that our controller can guarantee the uniformly ultimate boundedness of the solution of the closed-loop system, and make the tracking error arbitrarily small for uncertain parameters. Numerical simulation results illustrate the effectiveness of the proposed controllers and adaptive regulators.
Keywords:	Nonlinear Systems, Partial State Variables Synchronization, Uncertain Systems, Adaptive Control
Source:	Journal of Theoretical and Applied Information Technology pp 393 - 397 Vol. 47. No. 1 -- 2013
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Title:	WEB SERVICE DESCRIPTION FRAMEWORK AND SELECTION MECHANISM TOWARDS BALANCED PERCEPTIONS OF FQOS AND QOS
Author:	ZHONG WU, GUIHUA NIE, DONGLIN CHEN, PEILU ZHANG
Abstract:	With the growing expansion of web services resources on the internet, more and more users come to appreciate the difficulty of searching self-gratification information from the mass information. This paper analyzes functional attributes and un-functional attributes of Web service resources, builds the mapping relationship between FQoS and QoS, and defines the index system structure of FQoS (Functional Quality of Service) and QoS (Quality of Service, also can be called non-functional attributes)based on the existing theories. It realizes QoS quantification of Web service resource by parameters numeralization and normalization, proposes a Web service description framework and selection mechanism towards balanced perceptions of FQoS and QoS, and then makes a theoretical foundation for Web service description, discovery and selection oriented equilibrium perception of FQoS and QoS.
Keywords:	Web Service Resource, Service Description, Service Discovery, FQOS, QOS
Source:	Journal of Theoretical and Applied Information Technology pp 398 - 405 Vol. 47. No. 1 -- 2013
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Title:	AN IMPROVED VIRUS EVOLUTIONARY GENETIC ALGORITHM FOR WORKFLOW MINING
Author:	CHENGFENG JIAN, FANG LI
Abstract:	Combined with virus evolutionary mechanism, the virus evolutionary genetic model algorithm which oriented workflow mining is put forward. It is based on the original main population that infection the population of individuals. First, in the workflow virus evolutionary mechanism introduction, it needs Petri net and causal relationship with matrix, the population of virus of individuals to chromosomes, setting the virus vitality and appealing. Second, the algorithm combines with the genetic algorithm in workflow mining on design. It designs a virus operators, infection operation and degradation operation. At the same time, the virus evolutionary genetic mode algorithm considers the virus itself has certain vitality. Experiments show that it can increase the diversity of the original population, and avoid premature convergence and precocious phenomena.
Keywords:	Workflow Mining, Causal Matrix, Hybrid Genetic Algorithm, Virus
Source:	Journal of Theoretical and Applied Information Technology pp 406 - 411 Vol. 47. No. 1 -- 2013
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Title:	FUZZY ADAPTIVE PID CONTROL OF LARGE ERECTING SYSTEM
Author:	LIANG LI, JIAN XIE, JIANZHAO HUANG
Abstract:	In considering nonlinearity and uncertainty in the large erecting system, a fuzzy adaptive PID controller is introduced to improve the control performance. The mathematic model is constructed at first based on the physical laws. Then, the fuzzy logic algorithm which can regulate PID parameters on-line is designed and fuzzy inference rules are established between the PID parameters and the error and change in error. Step response and position tracking are implemented on this large erecting system. Simulation and experiment results demonstrate that the fuzzy adaptive PID controller has effectively improved the performance as compared with the conventional PID controller and fixed fuzzy controller. Further, the fuzzy adaptive PID controller is simple, easy to understand and realize.
Keywords:	Fuzzy PID, Adaptive Control, Erecting System, Electro-Hydraulics
Source:	Journal of Theoretical and Applied Information Technology pp 412 - 418 Vol. 47. No. 1 -- 2013
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Title:	A THRESHOLD DENOISING METHOD BASED ON EMD
Author:	JIANZHAO HUANG, JIAN XIE, FENG LI, LIANG LI
Abstract:	The denoising method based on empirical mode decomposition (EMD) can be broadly divided into: IMF extraction method and IMF threshold approach. Aiming to the problems of how to select IMFs in extraction method and the processing of the selected IMFs, a threshold denoising method based on EMD is put forward. In this method, the standard of IMF selection in energy viewpoint is offered, and the IMFs upping to the standard are selected firstly, then, through comparing the average energy of all unselected IMFs with the energy of each selected IMF, the singular selected IMFs are confirmed, and denoised by threshold. Finally, the denoised signal is obtained by summing up all selected IMFs. The current method combines the soft threshold denoising method with the IMF selection together, compared with other denoising methods, the effectiveness and superiority of the method is validated. The result provides support for improving the denoising effect in engineering.
Keywords:	EMD, Threshold Denoising, IMF Selection, Singular IMF
Source:	Journal of Theoretical and Applied Information Technology pp 419 - 424 Vol. 47. No. 1 -- 2013
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Title:	ANALYSIS ON THE CONVERGENCE OF A NOVEL BILINEAR ADAPTIVE FILTER
Author:	MAOLIN ZHAO
Abstract:	Although the volterra filter is known to be an efficient adaptive filter in a large variety application for the non-linear system, but its computational complexity is also very high, especially as the orders of the filter increase. To overcome the computational complexity of the Volterra ﬁlter, a novel adaptive ﬁlter using layered bilinear architecture is proposed in this paper. Compared with the conventional second-order Volterra ﬁlter and Direct Bilinear adaptive ﬁlter, the layered bilinear adaptive ﬁlter exhibits a slightly better convergence performance in terms of convergence speed and steady-state error.
Keywords:	Adaptive, Nonlinear System, Bilinear, Volterra Filter
Source:	Journal of Theoretical and Applied Information Technology pp 425 - 428 Vol. 47. No. 1 -- 2013
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