Part A: Mathematical and Computer Modelling
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2A) 7-12
School of mathematics and Statistics Jishou University, China
Based on the fuzzy propositional logic FLCOM and fuzzy set FSCOM, we research the formal denotation, inference and computation of fuzzy knowledge. We extend the fuzzy and-or graph, turn the propositional formulas as state nodes, express the logical rules as the search space, construct and-or graph of the fuzzy propositional formula. We modify heuristic function on the basis of the traditional and-or graph search algorithm, and give out a method to process negation information in the process of reasoning, transforming the fuzzy knowledge reasoning into the state space searching problem, and using the state space searching to solve the problem of fuzzy knowledge reasoning.
Yuwan Gu, Dongyu Zhang, Yan Chen, Bixia Chao, Yuqiang Sun
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2A) 13-16
School of Mathematics and Physics, ChangZhou University, Jiangsu, Changzhou213164, China
A kind of parallel programming method based on MapReduce model is proposed, in allusion to data characteristic of having specific data partitioning requirement, parallel computation of matrix norm is implemented on the platform of high-performance MapReduce. Comparing with the traditional parallel programming model, MapReduce model parallel program can satisfy to requirement of high performance numerical calculations well, its programming for simplicity and readability can improve parallel programming efficiency in effect.
Part B: Information and Computer Technologies
Yang Wu, Tao Wang, Jin-dong Li
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2B) 7-15
Dept. of Information Engineering, Shijiazhuang Mechanical Engineering College, Shijiazhuang, 050003, P.R. China
Characteristic parameters mining of unknown protocol bitstreams and parameters optimizing of clustering algorithm are the foundations of unknown protocol bitstreams analyzing. The parameters such as the bit frequency, runs and bit frequency within a block are defined according to the frequency of zero and one, frequency of sequential zero and one, bit frequency within a block. As the parameter of bit frequency within a block is sensitive to the block length, an optimal block length selection algorithm is proposed based on the principle of variance. In order to select effective initial clustering centers for division clustering algorithms such as the k-means algorithm, an initial clustering centers selection algorithm is proposed based on the peak value of sample density for each dimension. In order to select the optimal clustering number, a function of clustering quality evaluation is given by the sample density in cluster and cluster density. Taking the bitstreams of HTTP, DNS, ICMP, TELNET and UDP datasets as the unknown protocols bitstreams, the experimental results not only verified the effectiveness of the proposed algorithms but also point out the necessity of mining more effective parameters.
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2B) 16-21
Human resource management Department, Jinan University, Huangpu Street 601# Tianhe Distric, Guangzhou City,Guangdong Province, 510632, P.R.C
From 20th century 90’s to now on, Internet and data mining techniques had developed rapidly and became mature, kinds of application on Web data mining had been proposed to the market. In this paper, we would first introduce the development of cache Pre-fetching technique, and then present a cache pre-fetching System model based on Web data mining, details of each implementation would follow. Our aim was to enhance caching effectiveness, and network accessing speed. Such technique could be applied in personnel, educational, and official information managing system in database of educational scope. Accessing speed of educational information system for numerous teachers and students, benefit high school personnel management, and also the effective scientific structuralize educational management.
High resolution remote sensing image classification based on particle swarm optimization and support vector machine
Buyi Li, Chongjing Deng, Shuang Li
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2B) 22-26
International School of Software, Wuhan University, Luoyu Road 37#, Wuhan, China, 430079
Many algorithms have been developed for image classification and support vector machine (SVM) is a kind of supervised classification that has been widely used recently. However, the accuracy of a SVM classifier heavily depends on the selection of a right kernel model and appropriate parameter. In this paper, a comparative analysis of the impact of four kernels (linear kernel, polynomial kernel, radial basis function kernel and sigmoid kernel) on the accuracy of SVM classifiers is conducted. Moreover, the Particle Swarm Optimization (PSO) is used to search for the optimum parameters for each kernel function in order to improve the classification accuracy of SVM classifiers. Our experiments for optimizing the kernel function parameters and assessing the robustness of SVM classifiers were carried out with classifications of QuickBird-2 images over Wuhan, China for monitoring urban land cover/land use information. The experimental results indicate that the polynomial kernel outperforms the other kernels in classifying high resolution remote sensing image. The sigmoid kernel performs worse than any other kernels. Our findings also suggest that selected parameter by PSO will improve the classification accuracy, especially for radial basis function kernel.
Pattern recognition systems in the problems of automatic person identification using the passport data
Y Amirgaliyev, R Yunussov
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2B) 27-30
Suleiman Demirel University, Information technologies and computations Instutute, Kazakhstan
The work describes the implementation of modern technology for remote sensing and data processing in the area of human activities concerned to the security provision, based on usage of pattern recognition algorithms and neural networks. The Republic of Kazakhstan State Identities and Passports were used as the basis; The ICAO 9303 MRZ Standard was used. Obtained stable recognition model for identification of known passport types, and MRZ section decoding.
Part C: Operation Research and Decision Making
The real estate enterprise performance evaluation model study empirical research on the real estate enterprise statistics in China: 2009-2013
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2C) 7-10
School of Management Engineering, Anhui Polytechnic University, Wuhu, China
Based on our real estate business development, for the shortcomings of traditional performance evaluation methods, combined with hierarchical fuzzy neural network evaluation method, using BP neural network training corporate financial indicators, and fuzzy neural network training non-financial indicators, and then to build a fuzzy neural network evaluation model integratedly, so the value of enterprise performance evaluation results can be calculated. The results show: the model is of high accuracy, which can more accurately reflect the performance of the real estate development business.
Shuaihui Tian1, Lan Chang2
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2C) 11-15
1College of Economics and Management, Chongqing University of Posts and Telecommunication, Chongqing 400065, China
2College of Economic Management, Chongqing Electric Power College, Chongqing 400053, China
In order to calculate the reliability accurately and dig out the dominant influencing factors of dynamic logistics alliance, GO methodology is applied in reliability research on dynamic logistics alliance. Through building the structure model of dynamic logistics alliance, failure factor of each subsystem is diagnosed. With the GO methodology, the dynamic logistics alliance is transformed into the GO chart, the system reliability is calculated in detail, its failure mode diagnosis and importance calculation are quantitatively studied and then a case of automobile dynamic logistics alliance is employed to verify GO methodology for effectiveness and validity.
Qingyong Xu1, 2, Shunliang Jiang2, Wei Huang2, Longzhen Duan2, Shaoping Xu2
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2C) 16-21
1School of Economic and Management, Nanchang University, Nanchang 330031, China
2School of Information Engineering, Nanchang University, Nanchang 330031, China
The scalable and efficient multi-class classification algorithm is now a well-known hard problem. Traditional methods of computer vision and machine learning cannot match human performance on images classification tasks. This paper proposes a novel semi-supervised classifier called Spatial Pyramid Deep Neural Networks (SPDNN). SPDNN utilizes a new deep architecture to integrate the ability of neural networks and spatial pyramid model because deep neural networks do not considerable the spatial information. Feature fusion has been more and more important for image and video retrieval, indexing and annotation because of the lack of single feature. We use multiple feature fusion over any single feature instead of pixels of images. The features include color feature, shape feature and texture feature. The performance of experiment shows that the algorithm improved the state-of-the-art image classification.
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2C) 22-24
Nanyang Normal University, Nanyang City, Zip Code: 473061, Henan Province, China
In modern society, both enterprises and institutions would face a common problem, which was how the accounting staff handle the finances. Due to the different properties, this two types of units could lead to the difference how to handle this units. This paper was to research and analyze problems from this aspect, and based on the analysis and research, and to compare the specific difference of institutions and enterprises, then put forward the corresponding point of view for research better understanding.
Part D: Nature Phenomena and Innovative Engineering
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2D) 7-11
Department of Architectural Engineering, Yulin University, Yulin 719000
Energy saving is an hot topic recently as the energy crisis is more and more serious. Among the energy consumer of the world, building is often ignored by many people. Nowadays many researchers noticed that research on the energy saving of building is meaningful, especially the research on the energy saving of air-conditioning. As the energy consuming of air-conditioning is very significant. Traditional control method of air-conditioning is based on PID. In the paper, fussy control is introduced and applied in the air-conditioning control, the result shows that response speed and accuracy of fussy controller are significantly better than PID controller.
Xiaoshuai Xin, Jinxi Chen
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2D) 12-17
School of Automation Engineering, University of Electronic Science and Technology of China. No.2006, Xiyuan Ave, Chengdu, China
The vehicle state is of significant to examine and control vehicle performance. But some vehicle states such as vehicle velocity and side slip angle which are vital to active safety application of vehicle can not be measured directly and must be estimated instead. In this paper, a Cubature Kalman Filter (CKF) based algorithm for estimation vehicle velocity, yaw rate and side slip angle using steering wheel angle, longitudinal acceleration and lateral sensors is proposed. The estimator is designed based on a three-degree-of-freedom (3DOF) vehicle model. Effectiveness of the estimation is examined by comparing the outputs of the estimator with the responses of the vehicle model in CarSim under double lane change and slalom conditions.
Xiaolu Li1, Wenfeng Zheng1, Dan Wang1, Lirong Yin2, Zhengtong Yin3
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2D) 18-22
1 School of Automation, University of Electronic Science and Technology of China, Chengdu, 610054, China
2 Geographical & Sustainability Sciences Department, University of Iowa, Iowa City, IA, 52242, USA
3 School of Resources and Environment, Guizhou University, Guiyang, 550025, China
Fractal is one of the powerful analysis for the study of complex natural phenomena. This paper employed fractal analysis in seismology based on the Statistical fractal concept and gave a simple overview to fractal characteristics of seismic activity in the spatio-temporal distribution. Analyzed by the R/S scale invariance of seismic time sequence and time interval sequence, this paper explored the self-shot fractal characteristics in the seismic activity.
Qiuxian Shen, Xu Wang
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2D) 23-25
College of Science, Lishui University, Lishui 323000, China
The effect of 3-S-isothiuronium propyl sulfonate (UPS) upon the microholes filling by Cu electrodeposition was investigated by cross-sectional images using optical microscopy. The bottom-up filling of the electroplating bath was achieved with an addition of UPS. The electrochemical study indicated that the polarisation on the cathode was decreased with an addition of UPS. Furthermore, X-ray diffraction analyses showed the crystallography and the peak intensity ratio I(111)/I(200) of plated Cu film were decreased with addition of UPS. The results present UPS as an accelerator which is beneficial for microholes filling for high density interconnections printed circuit board.
Study on signal processing technology based on the reflective intensity modulated fiber optic sensor
Junjie Yang1, Zhihe Fu2, Yibiao Fan2, Wenxiang Chen1, Zhiping Xie1, Wei Wu1, Xiaoyu Shan1
COMPUTER MODELLING & NEW TECHNOLOGIES 2015 19(2D) 26-30
1Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen, Fujian 361005, China
2Department of Mechanical and Electrical Engineering, Longyan College, Longyan, Fujian 364012, China
Sensor technology is one of the most representative of the emerging technology. At present, the sensor has been widely used in national defence, industry, agricultural production, environmental protection, biological science, measurement, transportation, each field of automatic control and household appliances, etc.. Optical fiber sensing technology is accompanied by the development of optical communication technology gradually formed, compared all kinds of optical fiber sensor and the traditional sensor has a series of unique advantages, such as high sensitivity, anti electromagnetic interference, corrosion resistance, electrical insulation, explosion-proof, light path with the flexible, convenient for connecting with a computer, the structure is simple, small volume, light weight, low power. In this paper, the intensity modulation type reflective optical fiber displacement sensor, studied the basic principle, in fact, is the displacement measurement in particular, on the assumption that the condition of uniform distribution, the emergent light field is analyzed in detail, the expression intensity modulation function under various conditions were obtained.