Welcome to Journal of Theoretical and Applied Information Technology

Journal of Theoretical and Applied Information Technology
pp 001 - 006    Vol. 44. No. 1 -- 2012

The research of the ForCES technology has made a great progress. However current research of ForCES mainly focuses on architecture and techniques. In order to ensure ForCES architecture network works well, it is significant to take account of routing optimization for ForCES architecture. In this paper, we will introduce the minimizing sum of path-cost model based on multiple traffic matrices to optimize the routing at FE sides in ForCES architecture. At last, through simulation experiment we prove that it achieves good results in routing optimization.

Journal of Theoretical and Applied Information Technology
pp 007 - 011    Vol. 44. No. 1 -- 2012

LUC Cryptosystem is a public key cryptosystem based on Lucas Function. It is first discussed by Smith and Lennon in 1993. They proposed a new public key system using Lucas Function instead of using exponentiation based as found in RSA. Lucas Function is the second order linear recurrence relation. The computation of LUC Cryptosystem is based on the computation of Lucas Function. Many of the existing computation algorithms for Lucas Function are suitable for one processor and there is no problem to design a computation algorithm for one processor as the Lucas Function can be implemented directly into programming codes. In this paper, the Binary Numbers will be used as a technique for parallel computation algorithm. The encryption process using Ve(P,1)(mod N) to get ciphertext, C from plaintext, P. While the decryption used Vd(C,1)(mod N) to get P from C. Meanwhile N is the product of two relatively primes p and q. In this case, the public key e (usually in decimal numbers) will be converted to the Binary Numbers. Then, this number will be use in manipulating the Lucas Functions properties such as V2n, V2n+1 and V2n-1 to find the fast computation techniques for Lucas Functions. Both processes run on special distributed memory multiprocessors machine known as Sun Fire V1280. The proposed techniques can reduce a computation time for LUC Cryptosystem computation compare to the computation algorithm for one processor. As a comparison, the computation time for one processor and several numbers of processors are also included.
 

Journal of Theoretical and Applied Information Technology
pp 012 - 021    Vol. 44. No. 1 -- 2012

This paper presents a domain-oriented user attribute model for getting user personalized and real requirements on the field of the accurate retrieval. Resource Distribution Matrix (RDM) and User’s Personalized Preference Vector (UPPV) are created by analyzing the user feature and resource characteristic on domain – specific condition. We then present a method to improve the efficiency of the personalized accurate retrieval with the user attribute model. Finally, the preliminary experiments with the prototype indicated that there was an increase in the precision of individualized resources retrieved as the model combines with Shanghai Education Resource Library.

Journal of Theoretical and Applied Information Technology
pp 022 - 028    Vol. 44. No. 1 -- 2012

Described here is a new method for depth estimation using a single omnidirectional visual sensor embedded on an autonomous mobile robot. This work is part of an on-going research project to study the visual guidance of autonomous robots. The method is based on a vertically aligned omnistereo configuration and laws of reflection applied on a geometric optics field. The proposed system yields a compact and cost-effective solution. Experimental results are satisfactory.

Depth Estimation, Omnidirectional Vision, Catadioptric Camera, Omnistereo, Mobile Robot

Journal of Theoretical and Applied Information Technology
pp 029 - 034    Vol. 44. No. 1 -- 2012

By adopting the 0.35μ2P4M 3.3V standard CMOS technology created by SMIC company, this paper designs a kind of charge pump phase-locked loop (CPPLL) circuit with mixed-signal structure. By improving the phase and frequency detector (PFD), charge pump circuit (CPC), and oscillator circuit design of the PLL circuit, the clock signal used in the video decoder chips can have a more stable performance. The effective tracking range of PLL is 5 MHz ~ 7.5 MHz, the locking output is 6.75 MHz during which the clock jitter is less than 500 ps, the output waveform's duty circle is 50.1408%.

Charge Pump Phase-Locked Loop (CPPLL),Com Metal Oxide Silicon(CMOS),Video Decoder,Phase And Frequency Detector(PFD)

Journal of Theoretical and Applied Information Technology
pp 035 - 039    Vol. 44. No. 1 -- 2012

DUŠAN KATUNSKÝ, MARTIN LOPUŠNIAK, MILOSLAV BAGOŇA, ERIKA DOLNÍKOVÁ, JANKA KATUNSKÁ, MARIAN VERTAĽ

Buildings for industry and production are an integral part of architecture. Buildings for light industry (IT, electricity, textile, etc.) dominate currently in the area. People working in these buildings spend a substantial part of the day stay in their internal environment. It is therefore necessary to pay attention to the creation and evaluation of industrial buildings. Faced with an evaluation of residential buildings or commercial buildings, an evaluation of industrial buildings is significantly in the background. This contribution presents some results from evaluation of internal quality for industrial buildings. The article deals with physical parameter analysis of indoor climate in large industrial space production halls considering the effects and influence on internal environment in winter and summer periods. The paper presents research results of a questionnaire evaluation of building’s users themselves, results of daylighting evaluation, an exterior walls moisture analysis, an analysis of energy requirements for operation of industrial buildings, evaluation of overheating in the summer periods and a research of window design aspect. To address these various issues have been used in situ measurements, laboratory measurements and analysis using computational simulations. The results showed that in the case of industrial buildings may not be the procedures for the evaluation of residential or commercial buildings properly. The results also showed that users' requirements for indoor industrial buildings may differ from the requirements for residential or commercial buildings. Based on the results it should be noted that designing of industrial buildings as well as evaluating industrial buildings should be paid attention and to create different evaluation criteria.

Industrial Building, Indoor Environment, Evaluation, Energy, Simulation

Journal of Theoretical and Applied Information Technology
pp 040 - 050    Vol. 44. No. 1 -- 2012

Changes in stock price will be influenced by many aspects of factors. When we are predicting stock price, it is difficult to build a determined mathematical model between stock prices and these complex factors. This paper first utilizes SVM ( support vector machine) to build a stock price prediction model. By fitting the prediction error sequence, we find the law factors, which the prediction model could not include or failed to give sufficient explanation, have a lasting influence on the stock price according to the ARMA theory of the time series analysis. Through an analysis we can predict the changes in the next step of this unexplained impact. Thus we revise the SVM model in the previous step. And the final results are obtained. The empirical analysis proves: SVM model has a high prediction accuracy to predict the stock price. Moreover, after the ARMA error correction model is used, the prediction accuracy is further improved.

Journal of Theoretical and Applied Information Technology
pp 051 - 054    Vol. 44. No. 1 -- 2012

An automatic exchange station of mobile robot is designed, and the design method of the mechanical structure and control system are put forward. The method of automatic exchanging battery is adopted, and the switching device of turn-plate structure and push-pull device of orthogonal mobile cantilevered structure are designed. The process of power exchanging is realized by the Mealy automation. The experiment results show that the station can exchange battery fast and efficiently, thus the power renewal time of the robot is greatly reduced.

Journal of Theoretical and Applied Information Technology
pp 055 - 059    Vol. 44. No. 1 -- 2012

This paper is in order to improve the efficiency of image segmentation and reduce the amount of user interaction, the mean shift algorithm is proposed with a combination of segmentation methods applied to the vertebra images. The image was pre-processed with the mean shift method and the region graph was obtained instead of pixel graph, which could reduce dozen times edge numbers in the graph. Furthermore, the edge-preserving property of mean shift algorithm was used. The experimental results show that the proposed method possesses nice properties of the mean shift and graph algorithm, so it is efficient and accurate, and it also reduces user interaction.

Journal of Theoretical and Applied Information Technology
pp 060 - 063    Vol. 44. No. 1 -- 2012

Mill load is an important equipment index which is closely related to operating efficiency, product quality and energy consumption of grinding process. Due to high dimension and collinearity of spectral data, mill load model has high complexity, poor interpretability and generalization. A soft sensor modeling method of mill load parameters is proposed based on frequency spectrum feature using Synergy Interval Partial Least-Squares Regression (SiPLS). Based on the spectrum feature of the shell vibration or acoustic signal, three soft sensor models of mill load, such as mineral to ball volume ratio, charge volume ratio and pulp density are developed, respectively. The proposed method is tested by the wet ball mill in the laboratory grinding process. The experimental results have demonstrated the proposed method has higher accuracy and better generalization performance than the full-spectrum model and iPLS feature spectrum model, and the feature spectrum model based on the shell vibration is superior to the acoustic feature spectrum model.

Ball Mill, Mill Load, Feature Selection, Synergy Interval Partial Least Square

Journal of Theoretical and Applied Information Technology
pp 064 - 072    Vol. 44. No. 1 -- 2012

The growth design is a new top-down design method for mechanical product conceptual design based on the decomposition and reconstruction of function surface. The reconstitution of function surface, determining the number, the style and the relationship of function surface are the key of conceptual structure in the process of growth design. It is the constraint of the manufacturability of the part structure. Due to the lack of the related knowledge, it is the barrier to improve the efficiency of the growth design. The position relationship, the joint mode and manufacturability of function surface are analyzed comprehensively in this paper. According to the actual technical knowledge, the methodology of determining the position relationship and joint mode concurrently is proposed. So manufacture technical knowledge is introduced into the product conceptual design stage. It can improve the efficiency of growth design process, and feasibility is proved by specific case.

Function Surface, Growth Design, Concept Design, Design Theory

Journal of Theoretical and Applied Information Technology
pp 073 - 077    Vol. 44. No. 1 -- 2012

The purpose of this paper is to consider the Mond-Weir type dual model for a class of non-smooth multiobjective semi-infinite programming problem. In this work, we use generalization of convexity namely convexity and Kuhn-Tucker constraint qualification, to prove new duality results for such semi-infinite programming problem. Weak, strong and converse duality theorems are derived. Some previous duality results for differentiable multiobjective programming problems turn out to be special cases for the results described in the paper.

Journal of Theoretical and Applied Information Technology
pp 078 - 085   Vol. 44. No. 1 -- 2012

There is no doubt that those large-scale domain ontologies are playing a critical role in building a large variety of semantic-based systems. It’s important and urgent to share and reuse large-scale ontologies to support semantic-based applications in a more efficient way. In this paper, we propose a web-based toolkit for building and reusing large-scale ontologies. The toolkit consists of a web-based ontology editor as well as a modulation-based API for ontology reuse. The web-based ontology editor supports cooperative online development of large-scale ontologies. It distinguishes itself from other editors by an easy-to-use interface. A modulation-based API is implemented for manipulating modulation from large-scale ontologies. It makes it possible to extract frequently-used portions from large-scale ontologies and cache those portions of knowledge in database for potential reuse. Moreover, we have evaluated the performance of the toolkit by simulation and application. In summary, the proposed toolkit is able to support building and reusing large-scale ontologies.

Journal of Theoretical and Applied Information Technology
pp 086 - 091    Vol. 44. No. 1 -- 2012

Regression analysis is often formulated as an optimization problem with squared loss functions. Facing the challenge of the selection of the proper function class with polynomial smooth techniques applied to Support Vector Regression models, this study takes three interplation points spline interpolation technology and modification interpolation value to generate a new polynomial smooth function in -insensitive support vector regression. The experimental analysis shows that -function is better than -function and -function in properties, and the approximation accuracy of the proposed smooth function is three order of higher than that of classical -function.

Support Vector Regression, ε-insensitive Loss Function, Smooth Polynomial Function, Modification Interpolation

Journal of Theoretical and Applied Information Technology
pp 092 - 100    Vol. 44. No. 1 -- 2012

Artificial intelligence (AI) is an interdisciplinary research and it has been widely spread into many specific domains. In this paper, data engineering, knowledge engineering, innovation methodology and intelligent application technology of AI are mainly presented and their prospects in materials science are summarized after analyzing the intelligent service demands in nowadays materials engineering. The work of this paper will be helpful for new materials development and design and has reference value to the future research directions in materials informatics.

Data Engineering; Knowledge Engineering; Technical Innovation Method; New Materials Development and Design

Journal of Theoretical and Applied Information Technology
pp 101 - 105    Vol. 44. No. 1 -- 2012

The superiority dimension-forces which network has make information diffusion in realistic space change in the nature through information coupling. It means that information diffusion in realistic space is no longer affected by geography, volume and time constraints. Under the promoting of network dimension-force, the source information can reach any sink fast and synchronously in broad spatial scope and accumulate information instantaneously to surmount the threshold value of sink, and then realize the diffusion distance willfully far, the quantity of information destination willfully more, the diffusion effect obviously enhanced. In order to measure the diffusion effect under the promoting of network dimension-force, on the basis of the core idea of the network dimension-force theory, using for reference from the Markov drift chain theory, this paper carries on the model construction and simulation of information diffusion. This model attempts to describe systematically and semantically the motion state of information diffusion from the macro level, and the simulation results reveal the positive promoting role of network dimension-force on information diffusion.

Journal of Theoretical and Applied Information Technology
pp 106 - 116    Vol. 44. No. 1 -- 2012

A proposed under-voltage lockout of compensated temperature coefficient threshold voltage without comparator is presented in this paper. The circuit achieves stability of threshold voltage without utilizing extra band gap reference voltage source and voltage comparator. In the temperature range of from -40℃ to +125℃, variation of only 30mV of the threshold voltage occurs. The under-voltage lockout circuit is designed and simulated with standard CMOS process with featured size of 0.6μm.

Journal of Theoretical and Applied Information Technology
pp 117 - 120    Vol. 44. No. 1 -- 2012

Although the BA model mimics the growth and preferential connectivity of the real-world networks, there are still some limitations. By studying the small-world network model and the BA model, we propose a WS-rewiring evolving model of scale-free networks in this paper. Comparing to BA model, we found that the power-low tail of the degree distribution of the new model has increased.

Journal of Theoretical and Applied Information Technology
pp 021 - 124    Vol. 44. No. 1 -- 2012

The short-term traffic flow prediction is of great importance for traffic control and guidance. This paper presents an approach using a Sugeno fuzzy inference system whose input space is participated by a Gaussian mixture model and parameters are estimated by the least square estimation method. The proposed approach was evaluated on a benchmark problem of the Mackey-Glass time series and the collected traffic flow data via a comparison made with one of well-known methods. The experimental results indicate the proposed method is effective and competent.

Journal of Theoretical and Applied Information Technology
pp 125 - 130    Vol. 44. No. 1 -- 2012

This article designed and implemented a method to identify the sensitive data in Chinese text. It can be used in data leakage prevention. There are two main innovation of this paper. One innovation is a method of preprocessing sensitive data based on statistical and the other is a method of determining the threshold based on self-learning. Experiments prove that the method is simple and practical.

Journal of Theoretical and Applied Information Technology
pp 131 - 136    Vol. 44. No. 1 -- 2012

In recent years, evaluating the technical innovation activity has gained a renewed interest in both growth economists and trade economists. An evolution model of the technical innovation activity is proposed by applying Kernel principal component analysis (KPCA) and the grey model in this paper. The KPCA is used to features selection and grey model is used to evolution. The proposed method is feasible and effective by the results, and it provides a better forecast and estimate tool for the technical innovation activity. It also provides a novel way for the evolution design of the other engineering

Journal of Theoretical and Applied Information Technology
pp 137 - 140    Vol. 44. No. 1 -- 2012

Although there are a lot of researches about e-mail spam filters, only a few focus on the issue for SMS (Short Message Service) system, especially in Chinese. In this paper, we proposed a two-layer filter model based on Naïve Bayes classifier utilizing both some traditional filter rules and content filter technical. The experimental results illustrate that the two-layer filter model can enhance the precision and efficiency of Bayesian classifier.

Journal of Theoretical and Applied Information Technology
pp 141 - 146    Vol. 44. No. 1 -- 2012

In the vision navigation system, the transformation from image coordinates to world coordinates is the essential part for the autonomous robot field based on crop rows detection using single camera. An approach of correcting the errors of the vision system is proposed in this paper, which can correct the errors of the target coordinates on the ground according to the theory of the lens distortion and coordinate transformations, and furthermore, the third-order B spline interpolation was used to improve the performance of the vision navigation system for the field autonomous robot. The experiment was implemented using the data obtained from the target board image, and the experimental results show that the approach proposed in this paper is effective.

Lens Distortion, Coordinates Transformation, Vision Navigation, Field Robot

Journal of Theoretical and Applied Information Technology
pp 147 - 152    Vol. 44. No. 1 -- 2012

To achieve effective information resources integration of complex manufacturing collaborative logistics network, it firstly must understand the integration content and the specific steps of integration. Based on this, the paper describes the related problems of optimization deployment about information resources integration, and uses the Mutil-Agent technology means to achieve information resource optimization deployment, finally, realizes the ultimate goal of providing high-quality service levels.

Journal of Theoretical and Applied Information Technology
pp 153 - 160    Vol. 44. No. 1 -- 2012