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Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

This paper proposes a new enhancement and efficient approach for diminution of iterations in K-Means algorithm. Also a quantized color and gray scale histograms are used for HSV color environments to reduce the process of image segmentation. As an apposed to traditional K-Means technique, in the suggested approach the initial centroids are automatically designated by an effective set of relations. Thus, pixel clustering process is only necessary to be done once after discovering all the centroids. Experimental results show that the new enhanced proposed approach gives better outcome in terms of speed and the results got from this research is closer to human visual perception from the colors.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Synonymous codon usage is an extensive phenomenon found across species, including human. Understanding of this phenomenon may aid in better understanding of gene expression mechanism, which has a practical utility in biomedicine research such as combating diseases. This research employed a computational approach to study the synonymous codon usage and mutation distribution in Card15 gene. The obtained results characterize the main factor that drives the codon usage in Card15 gene and the extensiveness of mutation. This computational insight into Card15 gene may shed light on the immunologic mechanisms of human against pathogen such as viruses.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Node misbehavior problems have received increased attention in multicasting in Mobile ad hoc networks (MANET). The misbehaving nodes can be either selfish or malicious nodes. The main goal of the malicious nodes is to intentionally interrupt the network using various attacks. Hence it is essential to develop a mitigation technique against misbehaving attacks. In this paper, we propose a misbehaving attack mitigation technique for multicast security in MANET. Initially the nodes are categorized into strong and weak nodes according to their stability index which is estimated based on the link availability and mobility. Among the selected strong nodes, the nodes with high reputation index are chosen as initiator nodes which assist in attack detection. The initiator node detects the misbehaving nodes based on their packet delivery ratio. Upon misbehaving node detection, initiators employ recrimination based attack isolation technique to isolate the attacker node during data transmission. By simulation results we show that the proposed technique enhances security in MANET.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Soil stability problems caused by vibratory loading, such as that of earthquakes and wind, have been increasingly observed. Designs and developments, which include a soil dynamic triaxial testing apparatus and a triaxial sample surface dynamic deformation measurement method based on the digital image processing technology, have been proposed to study the characteristics of soil under dynamic loads. The sub-pixel coordinates of corner points of squares on rubber membrane wrapping soil sample can be extracted using a high-speed camera that synchronously shoots images of soil surface dynamic deformation combined with the Canny operator and the Harris method. In accordance with the concept of the four-node isoparametric element in a finite element analysis, the dynamic deformation of soil sample can be calculated. The test results show that the dynamic deformation measurement method involving the use of digital image processing technology is effective in measuring the characteristics of the axial and radial deformation of the strain field, thereby provides a strong experimental foundation to study the mechanical characteristics of soil samples.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The coordination development of population-resource-environment-economy (PREE) system is viewed as an important way to realize regional sustainable development. This paper aims to establish the coordinate assessment methods for studying PREE system by principal component analysis, regression analysis and models concerning coordination development. On the basis of the case study on Heilongjiang Province, the paper quantitatively assessed the index of integrated development and the degree of coordination development of each subsystem. The result indicated that the index of integrated development and the degree of coordination development of each subsystem had an increasing tendency in different degrees in general, while showed obvious stage and fluctuant characteristic from 1997 to 2010. Resource has become the bottleneck for the coordination development of between population, resource, environment and economy in Heilongjiang Province.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Model checking in probabilistic real-time temporal logic of knowledge PTACTLK confronts the same challenge as in traditional model checking, that is the state space explosion problem. Abstraction is one of the most effective methods to alleviate the state space explosion problem, under the traditional framework of two-valued abstraction, the abstract model obtained using abstraction techniques is only the upper approximation of the original model. In this paper, we introduce three-valued abstraction into model checking probabilistic real-time temporal logic of knowledge, define the abstract model of a probabilistic real time interpreted system and present the three-valued semantics of PTACTLK on the abstract model. We prove that the abstract model obtained using the abstraction techniques is not only the upper approximation of the original model but also its lower approximation. At last, a simple communication protocol is adopted to illustrate the effectiveness of our abstraction techniques.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Metakaolin-slag-based geopolymer is a type of green cementitious material. In order to solve the engineering problem that the geopolymeric paste sets fast at high temperature, a kind of retarder-BCH has been developed. The setting time of the pastes incorporated with different contents of BCH are measured. The effects of BCH on geopolymerization process is researched by analyzing the heat evolution of alkali-activation reaction, the chemically combined water content and the microstructure of the pastes. Results indicate that the optimum retarding dosage of BCH is 5.0%. The hydration rate and the exothermicity rate of geopolymeric paste (20 ℃) are reduced. The initial setting time of the paste at 80 ℃ extends for 17.3 times than the pastes without BCH. Alkali-activation reaction at 20 ℃ has later and lower exothermic peak than reaction without BCH. The reaction at 80 ℃ undergoes a period of 4~6 h and is longer than that without BCH (0.25~1.0 h). The content of chemically combined water of reaction product and reaction rate reduce apparently before geopolymer solidifies totally. The main reason that BCH has an effective retarding influence on geopolymerization, as revealed by SEM and EDS is that BCH participated in the reaction and produced precipitation adsorption on the surface of reacted particles.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Our world is currently threatened by digital viruses, such as email viruses and mobile viruses. These viruses are mainly activated by users’ operations. Therefore, it’s important for us to understand the pattern of user’s operational behaviors and estimate the effect of such behaviors on virus propagation. This paper first reveals the statistical characteristics of human behaviors, especially the email-checking intervals of the same user based on the Enron email dataset. After that, we analyze the effect of human operational behaviors and network topologies on virus propagation in a human-oriented virus propagation model. The empirical results from real dataset show that the waiting intervals of each user to check mailbox follow a long-tail distribution. Combining this finding, our experiments accurately describe the process of email-virus propagation. The results show that viruses can fast spread in a network if the email-checking intervals follow a long-tail distribution with a higher power-law exponent. Meanwhile, our results find that the infected nodes with the highest-degree may speed up the virus propagation through analyzing the effects of network structure on virus propagation.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The Li-ion battery is studied base on its equivalent circuit model. The discrete state space equation is established using Ah counting method and OCV method. The filtering algorithm is set up under the noisy environments according to the principle of extended Kalman filter and simulated. The simulation results showed that the integrated of three algorithms could very well remove the environments noise, so the accurate estimate of Li-ion battery SOC value can be gained.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The main purpose of this article is to investigate MetaLib usage by Chinese students in Loughborough University. MetaLib is a library portal which provides a consolidated search environment for remote information resources, helping users find the information they need quickly and effectively. In this study, the researcher intended to investigate how students use MetaLib; including what problems they experienced, how they dealt with those problems and possible solutions; and used a combination of literature research, observation and interview with the Chinese students in the Loughborough University.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Building trust relationships between peers is an important and difficult part in the security needs of P2P network without a central server. P2P reputation system has been introduced which collects locally generated peer feedbacks and aggregates them to yield global reputation scores. Most P2P applications on the Internet are unstructured, without fast hashing and searching mechanisms, how to perform efficient reputation estimation is a major challenge on unstructured P2P computing. This work thus proposes a two-step reputation estimation approach for the unstructured P2P network. First, a Markov chain model is proposed to determine the reputation value for each one-hop neighbors. A peer’s reputation value (RV) is analyzed from its previous trust manner in this group. The proposed trust model is proven as an ergodic Continuous-Time Markov Chain model. Second, a peer with the highest RV of a group will be selected as the central authentication(CA) server. For increasing reliability, the peer with the second highest RV will be selected as the backup group leaser(BCA) that will take over CA when CA fails. The procedures of the peer’s RV are detailed. Numerical results indicate that the analytical RV of each peer is very close to that of simulation under various situations.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In the present paper, the application of a UWB mixed positioning method based on pattern matching in underground mines is researched. This paper proposes a two-step positioning method of strip area system based on UWB communication that makes full use of stripe structure of roadway to arrange reference nodes along wall. The areas of various reference nodes continuously cover roadway in overlapping. First, use the positioning method of signal intensity and the strength value range of each reference node to determine the area of reference nodes where the target node is and then use UWB TOA ranging to generate constraint equation through reference nodes of areas for further obtaining the location information of target nodes. To carry out UWB TOA ranging, it is necessary to determine DP at first. To this end, this paper proposes a detection method based on incoherent energy collection, which can compare energy sampling sequence with determined threshold. The energy block that firstly exceeds threshold will be regarded as the sampling block where DP is and the intermediate time of sampling block is regarded as arrival time of DP. Based on this method, simulation analysis of ranging error is carried out and the experiment results show that this mixed positioning method can achieve high ranging and positioning accuracy.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The workspace of manipulator can be defined as the operational area of the end effector. Because the moving platform of the parallel manipulator with six degree-of-freedom have six independence movement(movement in any direction and rotation around any direction), it means the workspace has six-dimensional, the six-dimensional workspace is difficult to be directly calculate and unable to graphic description. For the project of this article-3/3-RRRS parallel manipulator, this article will analyze the workspace of the manipulator in two cases. A discretization method is proposed for the computation of the reachable position/orientation workspace of the 3/3-RRRS parallel manipulator, respectively. Four examples of a 3/3-RRRS parallel manipulator are given to demonstrate these theoretical results; change rules are discussed in detail. As a special position and inherent attributes of the mechanism, singularity has a serious impact on the mechanism's motion control performance and drive performance. The method of searching algorithm in three-dimensional space is applied to the singularity analysis, coordinate of all possible stable positions are substituting into the Jacobian, position-singular points under given orientation condition are conformed.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

To simplify the problem of atlas selection in multi-atlas segmentation, we define Minimum Reduced Atlas Database (MinRAD), and give an algorithm of selecting MinRAD. Furthermore, nine types of MinRAD model are proposed based different similarity measures and input images, and their performances on multi-atlas segmentation are compared in two databases. Finally, we give some advice on how to select similarity measure and its threshold.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In view of the problem that massive spatial data interpolation is a complex and time-consuming computing process, and the traditional CPU implementation methods can't meet the real-time processing demand, in this paper, we propose a parallel bilinear spatial interpolation algorithm, which is accelerated by the graphic processing unit(GPU) and implemented in compute unified device architecture(CUDA). Firstly, we introduce the basic idea of general purpose computing on graphics processing units (GPGPU) and then discuss the technology of the CUDA programming model. Secondly, we introduce the principle of the bilinear interpolation algorithm and analyze the feasibility of mapping the bilinear interpolation algorithm program onto the GPU, and then we provide detail of implementing our parallel bilinear spatial interpolation algorithm on GPU that uses the CUDA programming model. Finally, we conduct several groups of experiments to demonstrate the strength of our GPU implementation method by measuring the performance over standard CPU implementation. The experimental results show that the GPGPU-based parallel algorithm can take full advantage of the GPU's parallel computing capabilities, and can achieve about 40 times speedup; it is able to meet the demand of real-time processing of massive spatial data interpolation.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Along with the application of information technology gradually increased in the library, libraries’ digitization and information are becoming more and more mature. Therefore, the management of digital library needs to change ideas, realizes the modernization and science of management to promote digital library to be scientifically efficient operation. Firstly, this paper expounds on the concept of digital library, and summarizes the characteristics of the digital library. What’s more, it further analyzes the digital library’s management innovation under the informatization background. On this basis, the theory combines with practice. It applies mathematics model to construct the scientific management model of the digital library. And through the model analysis, it puts forward some suggestions and practical measures for scientific management of the digital library. To some extent, it provides a new active exploration path for the research of this field.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Aiming at the lane change behavior recognition requirements for vehicle active safety system, natural driving test in real road were carried out and different parameters related to lane change behavior were collected synchronously. Firstly, parameters were processed with Kalman filter to increasing the potential relevance among sample data. Then, SVM model was established for lane change recognition. Lastly, data normalization, principal component analysis method, and bayesian network were adopted to optimize the SVM model. The recognize rate of lane change with 1.2 second time window increased from 93.9% to 98.7% by using these optimization measures. It can be meet the requirements of effectiveness and real-time for vehicle active safety system, such as lane change warning system or lane departure warning system.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Due to the ambiguity of the results given by the referee in Martial art competition, the design of a set of fair and impartial, scientific and rational evaluation system is particularly important. This paper builds a fuzzy comprehensive evaluation model based on the fuzzy number theory. As this model has a high degree of subjectivity, this article combines RBF neural network model and data envelopment analysis method with fuzzy comprehensive evaluation model and establishes two kinds of evaluation model as fuzzy data envelopment analysis and fuzzy neural network, solving the reliability and scientific issue of the evaluation result appropriately.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Determining the physical location of sensor nodes is the most basic requirement in most Wireless Sensor Networks (WSN) application. Wireless sensor network nodes’ self-localization techniques are discussed and studied in this paper. At first, the organization structure of wireless sensor network, the classify of node location algorithmic and node location computing method are introduced, the significance of studying wireless sensor network node location is also stated. Considering the problem of large errors accused by beacon nodes collimation and uneven distributed beacon nodes in the process of locating, location algorithm based on radical center is put forward, by which, location errors caused by collinear beacon nodes can be natural filtrated by computing the radical centers between beacon nodes. The idea of weighted sharing is used to revise location errors and getting the position coordinates of unknown nodes, and algorithm’ correctness is tested and verified by simulation experiment.

Wireless Sensor Networks, Node Location, Radical Center Algorithm, Cooperative Communication Technology, Computer Simulation

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The non-objective and non-scientific evaluation of sports tourism resources has become a bottleneck which restricts the development of sports tourism industry. In order to make the evaluation of sports tourism resources have more comprehensiveness, accuracy and scientificalness and to promote the healthy and sustainable development of sports tourism industry, this paper, based on the AHP-FUZZY mathematics evaluation method, proposes a new sports tourism resources evaluation model through the investigation and research of experts and scholars. This model consists of three index systems and makes weight setting of factors of each index system according to FUZZY mathematics evaluation method, integrating AHP and FUZZY evaluation methods. This comprehensive evaluation model has the advantage of the combination of qualitative and quantitative analysis which avoids the subjectivity of AHP and the dichotomy of FUZZY evaluation method. The results show that using this sports tourism resources evaluation model to evaluate the sports tourism resources of Qinhuangdao is effective, scientific and feasible.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

As an important branch of modern science and technology, information and communication technology plays an increasingly important role in the modernization of education strategy and has also been widely used in modern English teaching. This paper discusses the basic concepts of information and communication technology and its application in the teaching of English. Then, based on mathematical model, the paper analyzes the application of information and communication technology in the scientific judgment of English teaching. Finally, it gets a conclusion that the application of information and communication technology is useful to modern society by the contrast of traditional English teaching and modern English teaching.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The estimation of Laplacian factor is a crucial part of speech enhancement algorithms using Laplacian model priori. Classical methods for the estimation of this parameter suffer from the residual noise or time delay bias. In this paper, a novel algorithm called two-step technique for the estimation of Laplacian factor is proposed in discrete cosine transform domain. Based on the estimation theory of minimum mean square error (MMSE), the proposed algorithm computes directly the amplitude of the clean speech component to refine the estimated Laplacian factor in the original method, and thus the accurate result can be attained. Simulation results under different kinds of noisy conditions and levels demonstrate that the proposed algorithm possesses improved performance than that of the original method.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Collaborative filtering based recommendation methods focus on user-item information for modeling the user interest. However, in social networks the user interest is influenced by other user interests in the local social circle of the active user. In this paper, considering the homophily of relation to similar interests and similar friends, we propose a social item recommendation framework (SocItemRec). Our framework combines both global interest from the user-item information and local interest from social relation information for recommendations. We evaluate our framework on real world data from Sina Weibo, one of the most popular social network sites in China. The experimental results demonstrate that our framework leads to improved performance of top-k item recommendation.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Considering attraction of the nearest exit, repulsive force of the fire, barrier and its display style, effect of fire exit location on escape time in fire hazard, a mathematical model of evacuation process model was build based on cellular automatic theory. The program was developed by JavaScript. The influencing factors of evacuation were obtained through the simulation model by inputting crew size, creating initial positions of crew and fire seat stochastically. The experimental results show that the evacuation simulation model with authenticity and validity, which has guiding significance for people evacuation and public escape system design.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In this paper, the endomorphisms, the half-strong endomorphisms, the locally strong endomorphisms, the quasi-strong endomorphisms, the strong endomorphisms and the automorphisms of a join of cycle and a vertex are investigated. Some enumerative problems concerning these graphs are solved. In particular, the endomorphism spectrums and the endomorphism types of these graphs are given. It has a wide range of applications in Information Science.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Aiming at the redundancy problem of association rules in the mining process of mining association rules, a kind of shortest antecedent set algorithm (SASA) for mining association rules is proposed in this paper, and the algorithm is supported by the set-enumeration tree structure. The proposed algorithm is able to record a kind of subset for association rules without any information loss, and this kind of subset contains the entire generated association rule nondestructive. Experimental results show that the algorithm can significantly reduce the number of association rules, and it also improves the efficiency of analyzing the association rules for users.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In order to process natural language more effectively, a semantic relevancy calculating model of natural language was proposed, and the k-pruning algorithm for solving the model was researched. In the model, the best parsing process for a sentence could be determined by the value of semantic relevancy of the sentence; the two-level semantic structure of a sentence were analyzed, and two grammar rules were used to describe the two-level semantic structure; In the process of solving the model, a state tree would be generated; the k-pruning algorithm could be used to delete the states with less semantic relevancy when searching the state tree, and the computational complexity could be effectively reduced and the approximate solution could be acquired. Finally experiments were finished to verify the effectiveness of the algorithm.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Determining the departure interval is the basic of establishing the operation plan. Based on the existing researches, and consider all kinds of uncertain factors in operation process overall, to establish a bilevel programming model which is based on the game of passengers and operation companies. And use the differential evolution bacterial foraging algorithm to solve this model. Set the passengers satisfaction as upper target, and the operational efficiency of enterprise as the lower target. At last examples show that this model can effectively optimize the departure interval, and it has certain feasibility and effectiveness.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

With the continuous development of business incubator nowadays, the existing evaluation method of enterprise incubator’s hatch ability has been unable to meet the needs of small and medium-sized enterprises. This paper proposes a small and medium-sized enterprise incubator’s hatch ability evaluation model based on multiclass method, this model introduced the principal component analysis and factor analysis, first, it selects small and medium-sized enterprise incubator’s hatch ability evaluation index, then it makes data conversion to these indicators, then it carries out the variable correlation analysis, and finally do the hatch ability evaluation. The experimental results show that the small and medium-sized enterprise incubator’s hatch ability evaluation model based on multiclass can evaluate effectively small and medium-sized enterprise incubator’s ability, that is to say this model is practical and effective.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Since the logistics is an industry with relatively higher energy consumption, the building industry low-carbon logistics ought to attract wide attentions from the building enterprises. Simulated annealing is an effective intelligent algorithm for optimizing the building materials logistics route. This paper analyzes the similarities between the process of the building materials logistics route optimization and the process of simulated annealing, applies the simulated annealing to the adaptability of the building materials logistics route optimization, and gets the results that simulated annealing can be used to solve this issue. Finally, this paper applies the simulated annealing in optimizing the building material performance so as to control and optimize the building materials performance.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

This paper introduces the basic theory and procedure for working out solutions of ant colony genetic algorithm, describes optimization, constraints and objectives of construction project scheduling, then establishes basic model for scheduling optimization of construction project, and put forward improved ant colony genetic algorithm for solving the basic model. Performance of ant colony genetic algorithm is analyzed and evaluated from aspect of schedule - cost equilibrium in practical engineering optimization. Finally, case studies are done.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The gain of SVC depends upon the type of reactive power load for optimum performance. As the load and input wind power conditions are variable, the gain setting of SVC needs to be adjusted or tuned. In this paper, an ANN based approach has been used to tune the gain parameters of the SVC controller over a wide range of load characteristics. The multi-layer feed-forward ANN tool with the error back-propagation training method is employed. Loads have been taken as the function of voltage. Analytical techniques have mostly been based on impedance load reduced network models, which suffer from several disadvantages, including inadequate load representation and lack of structural integrity. The ability of ANNs to spontaneously learn from examples, reason over inexact and fuzzy data and provide adequate and quick responses to new information not previously stored in memory has generated high performance dynamical system with unprecedented robustness. ANNs models have been developed for different hybrid power system configurations for tuning the proportional-integral controller for SVC. Transient responses of different autonomous configurations show that SVC controller with its gained tuned by the ANNs provide optimum system performance for a variety of loads.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Discovering the influencers in the new social network is very important for the promotion of products and the supervision of public opinion. Most of the previous research was based on the method of mining influential individuals, while the tribe-leaders were neglected. In this paper, a new method of mining tribe-leaders is proposed based on the frequent pattern of propagation. First, a method of changing the diffusion trees is proposed to overcome the problem of multi-pattern in propagation, where the information propagation trees are changed into a connected undirected acyclic graph. Then, a new frequent subgraph mining method called Tribe-FGM is proposed to improve the efficiency of graph mining by reducing the scale of pattern growth. Experiments are conducted on a real dataset, and the results show that Tribe-FGM is more effective than the method of Unot.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Agent must clearly understand important concepts of digital home to accomplish task, so we constructed the ontology of digital home domain in this paper in order to realize service family retrieval based on functional semantic. First, a series of fundamental work were considered by analyzing the family environment, which provided a unified viewpoint to the refining classification of concepts. For example, the relevant concepts of services have been extracted, the relationships between them have been described, the upper ontology in the family field has been put forward, and so on. Then, the functional concept ontology has been constructed by classifying and systematizing the serve functions. Finally, the service registration and the selection mechanism based on the functional concept ontology have been described taking the gas security alarm system an example.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

RSA is by far the most widely adopted standard in public key cryptography algorithm. Its security depends on the Integer Factorization Problem, that it is very easy to calculate the product of two large prime numbers, but the decomposition the product and get the prime factors are very difficult. Therefore, the generations of large primes are important research field. This paper presented a rapid generation scheme of it, and the techniques for the related software implementation were presented. To speed up the modular multiplication and squaring, Montgomery's algorithms were used with sliding window method. Three pretreatments were also described in details. In view of prime generation of RSA, a series of design methods for software implementation was proposed and give the optimization programs.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Resource request task is limited by scheduling length, time span, load balancing, quality of service, economic principles, safety performance and other factors in the Enterprise Gloud Storage system, it is difficult to characterize it with specific features. This paper analyzed the storage model, designed a compromised task scheduling algorithm based on multi-target balance. Algorithm’s universality is verified by large-scale measurements which based on the randomly generated maps. The experimental results indicate show that in view of the computation intensity and the memory intensity load, this algorithm can perform well on aggregative indicators such as job scheduling length, scheduling cost and average energy consumption.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Community of Simulation task (CoST) is a simulation architecture based on a service-oriented architecture to achieve seamless integration and interoperability of command information system. It servitize the simulation resources through combination the simulation service and completes CoST by management and coordinated simulation resources. Firstly, this article introduced in the CoST involves simulation service, simulation resources, CoST, CoST members as well as simulation service system concept and CoST's principle. Secondly, the article describes CoST's architecture and key technologies of simulation task to solve problem. Finally, combining tasks of joint training simulation control system with hierarchical structure describes CoST’s application in detail.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

To solve problems that exist in optimal design such as falling into local optimal solution easily and low efficiency in multi-objective optimization, a new approach based on design of experiments (DOE) and gradient optimization (GO) was proposed. The new optimization method is called DPG (DOE Plus GO) which used DOE for preliminary analysis of the function model, and took the optimal values obtained in DOE stage as the initial values of design variables in GO stage so as to reduce the effect on the result of optimization made by the designers’ decision. This paper gave two typical examples of optimization to confirm DPG global, efficient, and accurate with Isight code. Firstly, the bimodal problem was used to test DPG’s global optimization ability, then the multi-objective optimization of the machine tool spindle, which required minimum quality, maximum stiffness, and strength was conducted. The results show the DPG optimization method could not only avoid falling into local solution, but also have an obvious superiority in treating the multi-objective optimization problems.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In this paper, on the basis of full understanding of the model and the algorithm of solving combinatorial mathematics bin-packing problem and production planning processes arrangements, in accordance with the characteristics of the students' physical fitness test to determine the two-stage method for solving the problem. The first stage, simplify the model into a bin-packing problem, and thus get the minimum time period, assign the class to each time according to the total number of physical fitness test to the principle of the optimal balance. The second stage, in order to simplify the calculation, take the student as little as possible total waiting time as the objective function to simplify the problem into the process arrangements model, the model for different rationality makes a better evaluation, adaptability is strong and have a certain value of popularization and application.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

User’s sensitive image to products is the emphasis that industrial design concerns, and is also the one of the key targets. Complicated mapping relations exist between design elements and user image, which make product’s user image unpredictable. The paper tries to build a model to describe the mapping relations on the basis of graph theory, which introduces the concept of genetic regulatory network (GRN) into industrial design. The model takes design elements as nodes and the relationship between elements as edge to build and draw product’s GRN graph. Through the GRN, product’s design elements are classified and the types of nodes and nodes groups are recognized, as abstracted knowledge for designers to arrange their design activities, or prepare the searching strategy for automatic optimizing programs. An example of water bottle design is carried out to test GRN’s aiding effect to product design.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

By using digital information, such as graphic image and audio as well as vedio, the integration of situational teaching of foreign language and modern multimedia technology enriches the content of foreign language teaching, which provides a rich and colorful environment for English learner. It can stimulate emotional students’ experience and enhance their willings of participating in interacting with classmates by reasonably creating a situation around content of courses in teaching. Based on cognition of teaching method of situational teaching theory, this paper constructs functions to analyze the advantages of multimedia technology in situational teaching of foreign language, thus deduces applied purpose and principle of multimedia technology in situational teaching of foreign language by using the mathematical model to construct thoughts. It provides theory basis and new way of teaching practice for situational teaching of foreign language.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Intersection left-turning restriction is one of the important ways to solving the road congestion of the built-up area; however, how to set scientifically and rationally is the key. A bi-level programming model was making under the minimum the premise entire traffic network access time by using the stochastic traffic assignment model which is more appropriate. The upper planning described the intersection left-turning restriction by 0-1 variables, and the combination of Frank-Wolfe algorithm and genetic algorithm was built for solving the bi-level programming model. An example for solving the traffic organization of a road network in a city's old town was given. The result shows that the algorithm can solve this kind of problem high efficiently, and the scheme was gotten with certain scientificity and rationality.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

HILSS (Hardware in the loop Simulation System) is a safe off-line virtual test system that will meet off-line test requirements, reduce development costs and shorten the test cycle. Traditional development methods of the control system will be changed by HILSS, which has been considered as an advanced simulation technology and a convenient method. The construction and development of HILSS of CVT (Continuously Variable Transmission) for vehicles are presented in this paper. The structure and principle of CVT HILSS are analyzed, then the engine model is built based on the engine data of bench test and the best economic and the best dynamic curves of the engine are drawn. The clutch model and the speed ratio control model are built based on the actual structure of the CVT. These models are verified to be practical by the Matlab/Simulink. At last, HILSS platform is built which can make debugging and development of the control system a reality.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Software testing sufficiency means that the software’s performance on limited testing data can represent its performance on all input data. Ideally, in software testing, the testing should be carried on till all errors in the program are detected and removed. As a testing strategy to measure the completeness of the test cases set, mutation testing is a defects-oriented unit testing technology, and a feasible software testing method to generate a complete set of test cases. The article systematically simulates the different defects in software by using mutation operators to create mutants, and then construct testing data set to be able to kill these mutants. It analyzes the procedures of mutation testing and the generation of mutation operators with specific examples. Experiment indicates that the program mutation technology has enhanced the test cases, which greatly improved the software testing sufficiency.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The workspace of manipulator can be defined as the operational area of the end effector. Because the moving platform of the parallel manipulator with six degree-of-freedom have six independence degree-of-freedoms, it means the workspace has six-dimensional, the six-dimensional workspace is difficult to be directly calculated and unable to do graphic description. For the project of this article-3/3-RRRS parallel manipulator, this article will analyze the workspace of the manipulator in two cases. A discretization method is proposed for the computation of the reachable position/orientation workspace of the 3/3-RRRS parallel manipulator, respectively. Four examples of a 3/3-RRRS parallel manipulator are given to demonstrate these theoretical results. As a special position and inherent attributes of the mechanism, singularity has a serious impact on the mechanism's motion control performance and drive performance. The method of searching algorithm in three-dimensional space is applied to the singularity analysis, coordinate of all possible stable positions are substituting into the Jacobian, position-singular points under given orientation condition are conformed.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Face recognition has received extensive attention due to its potential applications in many fields. To effectively deal with this problem, a novel face recognition algorithm is proposed by using the optimal kernel minimax probability machine. The key idea of the algorithm is as follows: First, the discriminative facial features are extracted with local fisher discriminant analysis (LFDA). Then, the minimax probability machine (MPM) is extended to its nonlinear counterpart by using optimal data-adaptive kernel function. Finally, the face image is recognized by using the optimal kernel MPM classifier in the discriminative feature space. Experimental results on three face databases show that the proposed algorithm performs much better than traditional face recognition algorithms.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In order to analyze theory and method of coal level detection by intelligent camera, firstly, mathematic model of coal level detection in bunker was established by three-dimensional imaging and synthesis and decomposition of vision signal, which is based on Faugerast’s calibration method, and the variation law between image signal and coal level variation in bunker were obtained by theory analysis. Secondly, the experimental simulation system for coal level detection in variation induced by the variation of image signal was constructed, and the image signal variation law was revealed. The numerical simulation model of the coal level detection in vision display was established, the simulation show that the greater the peak and contour points of coal level are, the faster the variation of image signal is, and the greater the initial value of coal level is, the higher the image signal is, and the coal level may have lightly pit. Finally, the image reconstruction shows that the theoretical analysis, experimental research and numerical results are consistent.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The content analysis of microblogs has increasingly become a focus for academic research. By microblog mining, microblogs provide either first-person observations or bring relevant knowledge from external sources in emergency situations such as Wenchuan earthquake in China. We introduce the architecture for microblog mining based on cloud computing and present Mesos which shares microblogging resources in a fine-grained manner and an improved Apriori algorithm about association rules mining. The proposed design and implementation provide valuable reference for the implementation of microblogging cloud storage system and microblog mining.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Wind power prediction of wind farm plays a decisive role in stable electric power system operation. Firstly to introduce fuzzy neural network’s basic principle; secondly to use 60 days numerical weather prediction (NWP) data and power data, from Jun.08 to Aug.08, as the training data of fuzzy neural network to train the fuzzy neural network; finally to use the next 2 days NWP data, from Aug.09 to Aug.10 as input data of fuzzy neural network, to predict the next 2 days output power of wind farm. The training process and prediction result show that fuzzy neural network has fuzzy decision and judgment, and has good self-learning and adaptive ability, which improves the stability of prediction system and prediction accuracy.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Mesh networks have been applied to build large scale multicomputer systems and Network-on-Chips (NoCs) extensively. Mesh networks perform poorly in tolerating faults in the view of worst-case analysis, so it is practically important for multicomputer systems and NoCs manufactures to determine that how much success probability to construct a fault-free path between two non-faulty nodes for the mesh network when the node failure probability and the network size are given. In this paper, we mainly focus on fault-tolerant routing algorithm on mesh networks from probabilistic view, and provide a probabilistic method for studying routing algorithm. We propose two simple and novel routing algorithms based on the concept of k-submesh. We apply probabilistic analysis on the fault tolerance of our routing algorithms. Suppose that each node fails independently with given probability, we can derive the probability that our routing algorithms successfully return a fault-free routing path. For example, we formally prove that our routing algorithms succeed in finding a fault-free routing path with success probability at least 99% for a mesh network of up to twenty-thousand nodes as long as the node failure probability is bounded by 1.87%. Our routing algorithms run in liner time. Simulation results show that the length of the routing paths constructed by our algorithms is very close to the optimal length. On the other hand, the results also show that the multicomputer systems and NoCs based on mesh networks are quite reliable and trustable in theory and practice.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Direct digital frequency synthesizer (DSS) was proposed by Tiemey at 1971 and this frequency synthesis technique soon came to the attention of people because of its good frequency resolution and fast frequency performance. Now, it is extensively used in telecommunication and electronic machine region and it is a key technology to realize full digitalization. This text introduces the principle and characteristics of DSS and gives the method of implementing DDS using VHDL. The design proposal touches on MAX+PLUS II platform. By this way, we can make the Chip products instead of multiple chip board products, so as to reduce power consumption, improve reliability, and also can be easily to design on line modification.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

IPSec provides cryptographic-based security protection mechanism for IP packets. The correct implementation of IPSec depends on the security protection parameters included in security policies. IETF Library workgroup‘s proposal of security policy system architecture can simplify the task of managing security policies and ensure the proper deployment of security policies. By referring to this standard security policy system architecture, this article proposes a method of building a Library workgroup based on security policy system to distribute policies. The overall architecture of the library workgroup based on security policy system is given in combination with an end-to-end security communication prototype system. Finally this article discusses modules of the library workgroup based on security policy system and key techniques used in the system.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

To investigate the steering characteristics of the hydraulic power steering system, a Modelica-based modeling approach is proposed. An automobile steering system test bench is set up for parameters identification. System characteristic features such as transmission ratio, stiffness, viscous damping and dry friction are estimated by bench test. The full version of hydraulic power steering system model is established in Dymola platform. For the sake of validating the proposed model, the vehicle steering performances are measured in field experiments which test maneuvers include the parking-lot steering and the lemniscate-shape path following. By driving the model with steering wheel angle signals measured in tests, the simulation results provide estimated performance of the hydraulic power steering system. The comparison between simulation and experiment results demonstrate the feasibility of proposed approach.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The expansion of the Internet leads to the rapid growth of information, which brings about urgent needs for rapid, efficient and reliable mass storage systems. In this paper, we present LBGR, a load balancing P2P file storage system based on grouping and reputation. LBGR evaluates a node by calculating its reputation value, and adopts a mechanism based on grouping and virtual node to solve the load balance problem which exists in distributed hash table structured systems. In LBGR, groups can balance their loads according to their capacities by migrating virtual nodes. The experimental results show that the presented load balance algorithm works well, and is comparable with the centralized algorithm, while it requires less load information of the system.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

LI YUFANG

A visualization system of spatial electromagnetic environment was designed and realized. The system realized 2D and 3D visualization of electromagnetic field with electromagnetic distribution situation, isograms, and propagation direction and path. The application result shows that the prototype system can provide the user an efficient visualization tool of spatial electromagnetic environment. This paper solve the model analysis based on the PE method, the establishment of a data visualization mapping model of the geomagnetic field; design space geomagnetic environment visualization system architecture, the design of which the main part of: Geomagnetic set of environmental parameters, unified modeling data analytic mapping drawn rendering, human-computer interaction, and modules; research and the geomagnetic environment visualization of key technologies, including unified model of the space the geomagnetic environmental data, to parse mapping and space method of generating a visual structure, as well as the geomagnetic environment rendering method.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The haptic-based sensing technology (HST) has the potential to be a powerful tool in Human-Computer Interaction (HCI). When developing a new product, the trend is to compress product development cycles and reduce costs. Virtual modeling, sometimes referred as digital prototyping, is widely used in industry for simulating the visual appearance and functionalities. Unfortunately, conventional virtual modeling techniques are hard to simulate the physical properties of a real product in user-to-product interactions. Force feedback, also called sensible feeling, is best envisaged as an evolution of virtual modeling. Thus, a novel haptic rendering technology that enables users to perceive tactile feedback from virtual 3-dimensional models is studied. We mainly carried out some innovative studies on the real-time force feedback in HCI by using sensing device based on the virtual model creation system (VMCS). With this in-depth research work, a virtual mechanics simulation model of the feedback force is proposed to solve the real-time force feedback simulation problem of haptic-based virtual model creation method. Finally, VMCS with real-time force feedback interactive technology is completed by using sensing technologies of haptic sensor devices. All these research works provide theories for the further application of virtual model creation method and HST in related industries.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Grey GM(1,1) model is one of the most commonused prediction method. A number of studies have shown that a series of significant achievement have been gained in natural science and social science for simulation and prediction of equidistant monitoring data sequent. However, relatively little is done about the application of Grey GM(1,1) model in relevant medical resources simulation and prediction for Chinese community health care. The aim of this study is to investigate the tendency of the numbers of China health service expenditure, health revenue, the number of visits and health personnel, which may provide the base and reference for the development of China health plan. Despite the great achievement associated with the use of grey GM(1,1) model, the prediction of nonequidistant and high growth data sequent through complex transformation , and usually has larger lagging error equidistant treatment of non-equidistant data may have larger lagging error. In this study, we built the GM(1,1) grey majorized model, which increases accuracy of background value and is proved successfully in simulation and prediction of equidistant or non-equidistant and low or high growth data. The results we obtained demonstrate that the nonlinear dynamic research of Chinese community health care using GM(1,1) grey majorized model, will contribute to the base and reference for the development of China health plan.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

With development of the current coupling intra-body communication research, it is necessary to increase carrier frequency of communication in the future research to obtain high-speed and stable communication mode. The feature of tissue in human limbs is intensively analyzed with the carrier frequency of 1MHz to 10MHz when the condition of quasi static approximation is tenable. In combination with relevant theories and experimental data, it is concluded that quasi-static coupling of human body is not tenable, which may be used as the theoretical basis for further research of modeling theory.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In the paper, the indicator system and evaluation methodology of BRT operation was established according to the characters of BRT development in China. These indicators include six aspects: infrastructure, transport capacity, service level, economic results, safety and emergency management, and energy saving & emission reduction. The pilot study was implemented in Jinan city. The results of pilot study show: the presented evaluation methodology of BRT operation agrees with the system designing standards and therefore is operational.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In physics，heat energy divided by temperature ，entropyis obtained, which means the conversion degree from heat to work. While in science and technology field, entropy generally refers to possible degree of certain matter system status. In social science area, entropy indicates the degree of certain society state, in the field of information theory, entropy expresses uncertain degree. In a word, the application of “entropy” is widely used. However, there’s no scientific theory support for deciding weighing by entropy evaluation method. This paper give a detailed explanation of it in three aspects to demonstrate that scientific is not decide weighing by entropy evaluation method.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Principal component analysis is the study of how a small number of uncorrelated principal components indicate the internal structure of multiple variables. The purpose is to simplify the data, reduce the dimension of redundancies, and make the new variable uncorrelated. So it is widely utilized in multivariate statistical analysis. These years, however, some people apply the principal component analysis to determine the weight of evaluation index system, even include the method in the textbook. This paper will clarify the unscientific method of valuing the weight in four aspects.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Proton exchange membrane fuel cells are promising energy sources that produce electrical currents with almost null pollutant emissions, and they have been received growing attention in recent years. Maintaining a fuel cell system in correct operating conditions requires good system control. Based on the mathematical model of proton exchange membrane fuel cells, model linearization is carried out and a model predictive controller is designed for the proton exchange membrane fuel cell to keep constant voltage output. Simulation results show that the use of this model predictive controller can achieve a good control effect.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

With the growing concern with our environment, the practice degree of green supply chain management I attractgetting more and more attention from academic and industry. Therefore, studying green supply chain management practice is a very meaningful work. Green supply chain management performance appraisal will involve a lot of indicators, and there are usually have dependence and feedback relationship between the various indicators. Therefore, this paper introduces how to use the ANP method to solve the problem effectively. This paper uses the Super Decisions 1.6.0 software to calculate the final weight of the network layer indicators, and assesses the performance level of three enterprises which have different implementation degree in green supply chain. Green supply chain management performance evaluation index system and the network model are established by the network level, which provide an effective solution for green supply chain management performance appraisal. The empirical research results prove the method are scientific and feasible to solve the problem of green supply chain management performance appraisal.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

For a class of uncertain linear systems, this paper proposes the mixed fault model which is more general and more practical. This paper discusses the existing problems of the system reliable controller, considers the reliable pole assignment of parabolic region with actuator fault, and gives a new method to deal with the mixed fault matrix. For mixed fault model with actuator fault, it gives the sufficient condition of designing this type of controller which can make the pole of linear systems to be located in the parabolic region. It achieves the design of state feedback reliable controller by solving the LMI. The simulation proves the Design method in this paper is feasible.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The D-stable robust reliable control for uncertain delta operator systems is mainly studied by this article. It proposes a sufficient condition of placing poles of the closed-loop systems in a specified circular disc, in terms of linear matrix inequalities by using state feedback. It also gives a design procedure of such controllers. The proposed results can also unify related results of continuous and discrete systems. Furthermore, a numerical example is provided to demonstrate the feasibility and the effectiveness of the design method.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In continuous casting, it is very important to predict and detect the internal cracks of billet in time for ensuring continuous production, improving product quality and reducing production costs. Clustering analysis (CA) method is adopted to do feature extraction and classification for on-site data, by which ladder parameter tables of processing parameters and defect grades of internal cracks are got. Fault tree analysis (FTA) method is adopted to analyze the effects of processing parameters on internal cracks. The solidification speed of billet is calculated by solidification heat-transfer model. Quality prediction model of internal cracks in continuous casting billet is established by quality prediction function, based on clustering analysis model of on-site data, FTA model and solidification heat-transfer model. Some samples of Steel Grade 1008 are selected for testing the quality prediction model. The percentage of accuracy for the quality prediction is 80 percent, which provides the foundation for industry application.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The real-time reliability prediction problem of the mine logistics transportation system by applying multi-performance parameter degeneration method was studied. According to monitoring data, by analyzing performance degradation cases and correlation among some performance parameters of the studied system, this paper establishes a new reliability model about time-varying performance degeneration, analyzed in detail this model by the practical example, and gets some practical conclusions. Presented detailed methods and steps can offer the reference for real-time reliability prediction researches of the mine logistics transportation system.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Direction-of-arrival (DOA) estimation is an important problem in many applications such as communication and navigation. Many methods have been presented for this problem. The Maximum Likelihood (ML) is one of the good solutions. But, in traditional algorithms for ML Nonetheless, the computational load is very heavy and multivariate nonlinear maximization problem is serious. To deal with these problems, this paper describes an application of neural network (NN) for obtaining the global optimal solution of ML DOA estimation. It overcomes the local optima problem existing in some ML DOA estimation algorithms and improves the estimation accuracy. The computation complexity is modest.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

M-learning enhances collaborative learning and increases learning flexibility by allowing it to be more personalized and student-centered. But on the other hand, m-learning faces interoperability problems with LMS. This paper introduces personal mobile Web services, a new user-centric Web service architecture hosted on mobile devices, introducing the Moodbile project that provides an extension of Moodle Web services for mobile integration and mobile clients ready to use on real courses.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Based on information fusion by multi-sensor tracking system, registration algorithm for heterogeneous spatiotemporal measurements is discussed. In the paper, principles of sensor registration for out-of-sequence measurement are introduced, the IMM based registration algorithm for multi-lag OOSM is proposed. The method that judging how old negative-time measurement could be used to retrodict the state is presented. On the condition of DAP (data association problem), the algorithm of how to obtain a strict chronological sequence of measurement is discussed. Finally, the conclusions and further works are addressed and some future problems are given.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The cold storages are the industrial equipments for storing food, vegetables and other things in low temperature. Characteristics of the cold storage for their volume have a big lag and are difficult to control. So, traditional PID controls are not adaptive to control them. One of methods which can overcome the problems is using a fuzzy control for them. But it is known that the differential input which is needed in the fuzzy controller is difficult to realize and easy to producing oscillating. A nonlinear tracking differentiator (TD) is substitute for a usual differential input; therefore hybrid fuzzy PD (proportional and derivative) controls which include two nonlinear tracking differentiators have been presented. In this paper, the hybrid fuzzy PD control for cold storages with PLC is proposed to improve the system performances. The paper is focus on the realizations of the control algorithms specially. The application of the system in the fields proved the control system related with the paper is correct and effective.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

We consider the problem of common due window location scheduling on a single machine, where the processing times of jobs depend both on their starting times and positions in a sequence. The problem is to determine the optimal earliest due date, the due window size, and the job schedule simultaneously to minimize costs for earliness, tardiness, earliest due date assignment and due window size penalties. An time optimal algorithm is presented to solve the problem.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

For the problem of massive scientific data storage on the network, and based on the Hadoop and virtual technologies, the massive scientific data storage model based on cloud computing is proposed. The massive scientific data is applied to the Hadoop platform and processed by MapReduce, the key algorithm of cloud computing, and finally the data is stored in the virtual pool. This paper introduces a large scale scientific data processing method based on cloud computing, builds a dynamic, scalable, cost-effective, easy to use and high performance computing platform on a large of centralized or distributed inexpensive computer cluster, and creates a cloud computing based framework for large scale data processing model. Based on Hadoop MapReduce of cloud computing, we propose the detailed procedure of scientific data processing algorithm which can improve the overall performance under the shared environment while retaining compatibility with the native Hadoop MapReduce in this paper.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

To do the text classification on the basis of VSM, and use the maximum common subgraph to measure two graphs’ similarities are the relatively common methods, but these methods have not made full use of lots of semantic information spatial model contained, so the text classification performance is generally poor. In order to improve the classification results of the graph, on the basis of the structural equivalence, this paper further analyzes the maximum common substructure graph nodes and edges if it is a true semantic equivalence, and puts forward a kind of improvement text similarity metrics based on the graph space model. Then apply it to the text classification, the classification performance has been improved. Finally, verify the effectiveness of this method by experiment.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

After the accounting informatization, the original vouchers, ledgers and statements have been translated into varieties of data to be stored in computers; however, the storage strategies of these data will be affected by the accounting information processing procedure, such as temporary storage, translation storage and back-up of the documents data, the generation and output of ledger data and the interfaces of other data transmission system. We should not only take the influences of relationship standardization principle into consideration, but also the influences of accounting information process design. This paper studies the impact of data storage from accounting information processing procedure and points out the problems during informatization.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Recent single image de-haze approaches assume the atmospheric light is the only illumination in one haze image and use a globally constant to image de-haze. However, every local pixels in an outdoor image is actually under the influence of non-uniform illumination in real world. The accuracy of the environmental illumination estimation has a great influence on the result, so the traditional haze image model is defective and not conforms to the facts. In this paper, we refine the haze image model under the consideration of non-uniform illumination, and then we propose a new prior called “bright channel prior” to de-haze single image combining with the dark channel prior. The bright channel prior, which inspired by the dark channel prior [1], is a statistic of haze-free outdoor images. Using this prior, we derive a more accurate environmental illumination estimating algorithm for single image de-haze. Our experiments prove the feasibility of the method we propose and outperform other image haze removal approaches.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

Plagiarism is a disruptive force in university education around the world. Many universities study mainly in academic papers and graduation thesis, this article focuses on anti-plagiarism for electronic course assignments. Our major contribution is that assignments may be divided into three classes by using different techniques to detect plagiarism: in the computer laboratory, digital watermarking algorithm with high hiding capacity was designed; in the Internet environment, we combined the vector space method and edit distance method to detect copying; for programming assignments, the BP neural network algorithm was used. A comparative experiment based on manual check shows that the accuracy rate reaches 96%. The system has been used in our teaching practice for two years, it could effectively detect plagiarism.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The rapidly growing Internet is driving the demand for higher transmission capacity and high-speed networks. Designing an efficient network to achieve desirable performance is a challenging task, requiring designers to balance user performance expectations with costs and capacities. The study is based on the OPNET simulation tool focusing on the question of whether faster connections are worth higher prices for the Small Office/Home Office network. The paper simulated 3 different scenarios comparing application performance with different connection speeds between a SOHO LAN and the ISP, to evaluate application performance and server capacity planning for web browsing, E-mail, video conferencing, database and FTP. It also examined how response times, throughput, utilization on the WAN link and other network performance measured. Use numbers to justify our recommendation. The investigation results reveal that upgrading a link data rate will not necessarily be economically feasible with the performance improvement that it gives, and solve them cost-effectively by understanding the impact of changes.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In this paper, we propose a new gear fault recognition method by using morphological undecimated wavelet decomposition (MUWD), sample entropy and grey incidence. MUWD possesses both the characteristic of morphological filter in morphology and multi-resolution in wavelet transform. Then we develop multi-scale MUWD based on the characteristic of impulse feature extraction in difference morphological filter. At first, we use multi-scale MUWD to process different gear fault signals in five levels, signal length is maintained invariable and information loss could be avoided in MUWD, simulation example tests the good effectiveness of its denoising capacity. Second, we calculate the sample entropy of each level. Different fault type corresponds with different sample entropy. In the end, we serve sample entropy as the feature vectors and calculate the grey incidence of different gear vibration signals to identify the fault pattern and condition. Practical example shows that the high efficiency of the proposed method. It is suitable for condition monitoring and fault diagnosis of gear.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

In this paper, an efficient and effective adaptive recovery algorithm is presented for low lighting image. Firstly, a multiple point light sources atmospheric scattering mode is proposed based on analyzing the form of light sources, the propagation process of light beam and the influence of multiple light sources. And then, a novel image prior - bright channel prior, which is based on a kind of statistics of the normal illumination images, is also considered in the model. The satisfied results have demonstrated that compared with existing methods, the proposed method has the stronger ability of restoring the low lighting image adaptively.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The binary decision diagram (BDD) is an efficient graph representation of logic Boolean functions, it has wide applications in a lot of areas, such as computer science, circuit design and test. The size of binary decision diagram depends on the variable ordering which is used. A new approach is presented in this paper for the variable ordering and the optimization of binary decision diagrams, the approach is based on a chaotic evolution algorithm. The chaotic evolution algorithm proposed in this paper can combine the features of chaotic systems and evolutionary algorithm, and can take full advantages of both the stochastic properties and the global search ability. The application of the approach for the test of stuck-open faults in digital circuits is investigated, a test algorithm of stuck-open faults is proposed. The experimental results for a lot of digital circuits show that the binary decision diagrams with smaller number of nodes can be obtained by using the approach proposed in this paper, and the test vectors of open faults in digital circuits can be produced.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The system on chip (SoC) must be tested in order to insure the correctness of functions. The test of SoC involves the test of cores and the test of interconnects among cores. The test set of cores must be transported to the inputs of cores through the test access architecture in SoC. Therefore, in order to make the total test time to be minimal, it is necessary to determine an assignment of cores to test access architecture. In this paper, a new method is presented for test bus assignment of system on chip, which is based on cultural particle swarm optimization. In this method, the feasible solutions of test bus assignments are represented by the individuals. The better schemes of test bus assignments are obtained by the evolution of the individuals. The implementation of the method consists of a population space, a belief space, and a communication protocol that describes the exchange mode of knowledge between the population space and belief space. The particle swarm optimization with selection strategy is used for carrying out the evolution of individuals in population space. A lot of experimental results for SoC benchmark circuits demonstrate that the proposed method in this paper can effectively obtain the test bus assignments in shorter time than conventional genetic algorithms.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013

The Optimal Power Flow (OPF) is important problem in electric power systems and OPF is a static, non –linear optimization problem of determining the optimal settings of control variables for minimization the cost of generation including sine components, piecewise quadratic cost curve, transmission losses, voltage profile optimization and power flow deviations are proposed in this paper. The OPF problem is not only comprised of cost of generation and includes multidisciplinary comprehensive model. It is an important problem in power systems operation due to operational security considerations and even a small savings per hour translates into large annual saving. A Refined Bacterial Foraging Algorithm [RBFA] is introduced in this paper to solve multi objective optimization problems. The multiobjective is proven and is well in power system problems. The objective of this paper is to introduce RBFA to solve multi disciplinary Optimal Power Flow [MDOPF] based on multi-objective optimization. The new multiobjective BFA is presented for the solution of the comprehensive model for MDOPF. The algorithm is then demonstrated on IEEE 30 bus system and test results provided on the standard system reported in the literature clearly indicates that this method is efficient. The RBFA is motivated by the foraging behavior of the E. coli bacteria and the biological aspects of the bacterial foraging strategies and is well in multi disciplinary high dimensional problems and multiple objective optimization problems. The solution of the MDOPF problem, with a simultaneous and adequate consideration of all its facets with reasonable computing time, is still to be achieved.

Journal of Theoretical and Applied Information Technology
  Vol. 48. No. 3 -- February 2013