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Wan D.,Nanyang Institute of Technology
Journal of Computational and Theoretical Nanoscience | Year: 2016

The development level of competitive sports is related to various factors, which drives the development trend and development level of competitive sports, there are lots of expressions of competitive sports development level, from which the number of medals that one region obtains in national games is an important indicator to reflect the development level of the region's competitive sports. The paper takes the number of medals that Chinese 31 provinces obtain in national games as research objects, explores spatial autocorrelations among regions with an aim to define regional characteristics of Chinese competitive sports development. The paper bases on the indicated result of Moran' I index scatter diagram, gets that regional dependence of Chinese competitive sports development level is gradually strengthening and regions show polarization effect. Copyright © 2016 American Scientific Publishers All rights reserved.

Zhen L.,Nanyang Institute of Technology
Journal of Computational and Theoretical Nanoscience | Year: 2016

The construction of learning team facilitates the development of cooperation learning and interaction learning. Construction of appropriate learning team has an important significance for improving learning effect. This article introduces social network analysis method to establish the learner characteristic model with multi-dimensional indexes of comprehensive learning capacity, learning status and cooperation ability; use excellence, activeness and influence to conduct quantitative analysis; apply fuzzy similarity relation and fuzzy equivalence calculation to conduct the multi-layered fuzzy dynamic clustering to the learner, so as to identify the candidate learning; and based on it, achieve the division of learning team in iteration mode through mixing multi-type learners. The experimental analysis shows that the method in this article can significantly improve the accuracy of team division and the self-adaptability in virtual learning community, and facilitate the overall improvement of knowledge level, learning initiative and cooperation ability of all learners. © 2016 American Scientific Publishers All rights reserved.

Wan D.,Nanyang Institute of Technology
International Journal of Simulation: Systems, Science and Technology | Year: 2016

Preschool stage plays an important development role, and also builds good foundation for future learning and working. Therefore, it is required to develop a sense of morality, intelligence, physique, aesthetics and labor in an all-around manner. Sport is an important mean to strengthen preschool children’s physical quality, and game element occupies proportions in sports and make important contributions to the development of preschool children in physical, psychological and others aspects. The paper proposes mathematical models that can be used to study the effect of adding games elements to sport for preschool children. © 2016, UK Simulation Society. All rights reserved.

Xu G.,Nanyang Institute of Technology
ICALIP 2016 - 2016 International Conference on Audio, Language and Image Processing - Proceedings | Year: 2016

Sequency-ordered generalized Walsh-Fourier transform (SGWFT) is a new orthogonal transform family. SGWFT shows good properties, and is similar to Discrete Fourier Transformation in many ways. SGWFT has lower complexity with less number of multiplications required than the DFT, which makes it has a better performance in potential applications. In this paper, SGWFT is used to derive new shape descriptor (SGWFD) for shape image retrieval. The new descriptor uses a complex shape signature to express sampled shape, and then applies SGWFT to the signature. The resulting transform coefficients are used as corresponding shape features to form SGWFD. The image retrieval performance of the proposed descriptor is evaluated on the Swedish leaf database using standard measurement, and the experimental results show that the proposed SGWFD outperforms Fourier descriptor. © 2016 IEEE.

Xing J.,Nanyang Institute of Technology
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | Year: 2010

Based on the quantitative description of group split, first of all, this article defined the concept and the judging method for the splitting effectiveness of sample units, analyzed their economic connotative meaning, and discussed the relationship between the splitting effective unit and Pareto effective solution; And then, provided the measurement solution to the overall efficiency of splitting units and the methods to optimize the splitting efficiency; Finally, applied the method to the simulation of enterprise strategic split.

Ding W.,Nanyang Institute of Technology
Procedia Engineering | Year: 2011

The blind source separation (BSS) algorithms, especially the independent component analysis (ICA) algorithms, have been proven to be effective for the image data processing. The noise signal introduced into the image data can be perfectly eliminated using ICA only under the linear mixture condition. However, the images are always mixed nonlinearly with noise perturbations. The traditional linear ICA algorithm is not capable enough to suppress the noise in this situation. Hence, the nonlinear ICA is proposed to deal with the nonlinear mixtures in this paper. The radial basis function (RBF) neural network based post-nonlinear ICA algorithm has been adopted to remove noise from the original image data. To enhance the RBF-ICA operation, the Chaos-Particle Swarm Optimization (PSO) algorithm has been employed to optimize the RBF neural network to obtain satisfactory nonlinear solution of the nonlinear BBS procedure. A series of experiments have been implemented in this work to validate the efficiency of the proposed method. The Chaos-PSO optimized RBF-ICA model has been compared with other ICA models in the image de-noising processing. The comparative results show that the proposed approach is superior to the nonoptimized ICA methods with respect to the image de-noising performance. © 2011 Published by Elsevier Ltd.

Liu P.,Nanyang Institute of Technology
Sensors and Transducers | Year: 2014

The article introduces against technical defects of traditional network access control system, detail NAC, NAP, UAC and TNC four kinds of new network security access technology, and this article analyzes and compares them. Security framework for wireless sensor networks SPINS defines the mechanism and algorithm of complete and effective in confidentiality, point-to-point message authentication, integrity, authentication, broadcast authentication. © 2014 IFSA Publishing, S. L.

Zhang H.-W.,Nanyang Institute of Technology
Applied Physics A: Materials Science and Processing | Year: 2011

We report the effect of NiW, as an interlayer to partially replace Ru, on the microstructure, magnetic properties, and recording performance of CoCrPt/SiO 2 perpendicular recording media. It was found that the full width at half maximum of the rocking curves of the Co (0002) peak changed little with NiW thickness up to 10 nm. However, further increase of NiW thickness caused a larger c-axis dispersion. The grain size of the CoCrPt/SiO 2 recording layer was reduced from 10.9±1.8 nm for the films without NiW to 7.7±1.5 nm for films with 10-nm NiW as a partial interlayer. The coercivity, H c, nucleation field, H n, and the reverse overwrite, Rev-OV, of the CoCrPt/SiO 2 layer did not change much (less than 15%) with increased NiW thickness. However, it did affect the switching field distribution of the CoCrPt/SiO 2 layer (more than double). The recording performance was improved by using NiW as a partial interlayer, which was mainly attributed to the reduced grain size. © 2011 Springer-Verlag.

Dong Z.,Nanyang Institute of Technology
Proceedings of 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, CSQRWC 2011 | Year: 2011

Based on the characteristics of the QPSK/DS spread spectrum communication, the paper proposes an efficient detection method for QPSK/DS spread spectrum communication. The method achieves the detection of the communication and the estimation of the system parameter Ts and the spreading sequence by doing time domain processing and correlation analyzing on the received signals. The simulations show that the proposed method is not only feasible and efficient, but also can fit the need of the low signal to noise ratio, which is quite common in the detection of spread-spectrum communication. © 2011 IEEE.

Ding W.,Nanyang Institute of Technology
Advance Journal of Food Science and Technology | Year: 2014

This study aims to investigate the food quality detection using an intelligent method. The machine vision applies image processing softwares to monitor the food quality. The Artificial Neural Network (ANN) in the image processing softwares is crucial for food quality detection precision. However, improper structure parameters of ANN may lead to the low detection performance. In order to overcome this problem, a new detection method based on Genetic Algorithm (GA) -Chaos optimized Radial Basis Function (RBF) neural network is proposed in this study. The GA-Chaos was used to optimize the structure of the RBF as well as its weight values to obtain high generalization ability of the RBF-detection model. Then the RBF model was employed to train and test the food data sets. Experimental results show that the method could enhance the food quality detection rate and outperforms the traditional GA-based methods. © Maxwell Scientific Organization, 2014.

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