Liu K.,Huanghuai University
Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia | Year: 2016
Handwritten digit recognition is a classical pattern recognition problem and it has significant research and application value. Bayesian network is an effective tool to apply probability and statistics into uncertainty reasoning and data analysis of complicated system. On the basis of the analysis of the classification and connection weight design method of Bayesian network model, this paper learns and researches the structure learning and parameter learning method of Bayesian network in both complete data and incomplete data, proposes the Bayesian network classifier to be applied in handwritten digit recognition and builds the Bayesian network model for handwritten digit model. This network model uses the training sample set, identifies the topological structure of Bayesian network by integrating as much prior knowledge as possible and determine the conditional probability table for various variables in the given network structure. The experiment results proves that the Bayesian network classifier built in this paper has excellent effect and the sample training classifier improves the classification efficiency to a large extent and it can accurately reject the counter-example and reduce the false accept rate.
Liu Z.,Huanghuai University
Journal of Computational and Theoretical Nanoscience | Year: 2017
As a major index for improving English teaching ability in colleges and universities, English classroom teaching level serves as an important guarantee for enrolling excellent would-be students, and plays a crucial role in enhancing the competitiveness of English major. For this reason, this paper studies the evaluation of English classroom teaching level in colleges and universities. An evaluation index system is established by analyzing the selecting principles for evaluation indexes of English classroom teaching level. Furthermore, such evaluation is graded, and the fuzzy membership of an evaluation object concerning various indexes in different grades is worked out. Then, AHP method is employed to obtain the corresponding weight of evaluation indexes, so as to establish a multi-index measurement model of English classroom teaching level in colleges and universities based on fuzzy system theory. The result of case study demonstrates that the presented model is feasible. Copyright © 2017 American Scientific Publishers.
Zou S.,Huanghuai University
Journal of Computational and Theoretical Nanoscience | Year: 2017
College English is one of the basic core courses for all college students in China. The course involves many difficult concepts and grammatical structures, so it is difficult to most of the students. The starting point in any teaching program is to determine whether teaching is needed to specify what that teaching should accomplish. So the students' need is of vital importance to the success of college English teaching. Traditional college English teaching does not take into account students' individual learning abilities and feedbacks, which would cause students to grasp the key knowledge not enough, and then make students lose their interest in English. The purpose of this paper is to establish a college English teaching platform, and using artificial intelligence to find the needs of college students and know about mastering knowledge of students. The platform can adjust the teaching schedule and contents through artificial intelligence algorithm. Statistical data of several years show that the average score of students who used the platform to learn college English is far higher than those students who didn't use the platform. Hence, the platform can improve students' autonomous learning and English abilities. Copyright © 2017 American Scientific Publishers.
Song Q.,Nanjing Southeast University |
Song Q.,Huanghuai University |
Cao J.,Nanjing Southeast University |
Liu F.,Huanghuai University
International Journal of Robust and Nonlinear Control | Year: 2012
This paper investigates the pinning-controlled synchronization of a general complex dynamical network with hybrid coupling, which includes constant coupling, discrete-delay coupling and distributed-delay coupling. Furthermore, the network can be composed of coupled identical nonlinear oscillators with or without internal time-delay. To be more consistent with the realistic networks, the internal time-delay, the discrete time-delay and the distributed time-delay can be different from each other, the inner coupling matrices are not necessarily to be diagonal, and the coupling configuration matrices are not required to be symmetric or irreducible. Under some sufficient conditions, it is shown that a hybrid-coupled complex network with or without internal time-delay can be asymptotically pinned to a homogenous trajectory by applying adaptive control actions to a small fraction of network nodes. In particular, the paper addresses what kind of nodes should be pinned and how many nodes are needed to be pinned to achieve synchronization in a hybrid-coupled network with fixed coupling matrices and strengths. Numerical examples are given to verify the theoretical analysis. © 2011 John Wiley & Sons, Ltd.
Zhang J.H.,Huanghuai University
Advanced Materials Research | Year: 2014
Nationwide Fitness national fitness project is a concrete manifestation of the implementation in China is one of the material foundation and site security. The National Fitness Program is the main material carrier by which our government can practice national fitness plan. In this paper, there are future strategies for development of the National Fitness Program in urban communities in China. It is found that implementation of the National Fitness Program has greatly improved people's exercise conditions, making it more colorful and modernized. The features and problems in practicing the National Fitness Program in urban communities were discussed and strategies were put forward for further development. Health literacy on a regular basis, so that exercise training can understand and master the scientific method, and improve exercise efficiency, reduce security risk, so that physical activity can be into people's life style behavior. © (2014) Trans Tech Publications, Switzerland.
Wei C.B.,Huanghuai University
Applied Mechanics and Materials | Year: 2014
With the application of digital watermarking based on spread spectrum communication technology and the difficult control characteristics of watermark load intensity and invisibility, this paper considers the best compromise between watermark robustness and invisibility factors, and puts forward a digital watermarking algorithm using spread spectrum communication technology. By ultimate strength loading watermark test, the algorithm is verified to have good robustness. © (2014) Trans Tech Publications, Switzerland.
Kangming L.,Huanghuai University
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao | Year: 2016
The wide application of pedestrian detection method makes it an important part in the computer field, which provides significant support in multiple domains as video monitoring, driver assistance system and intelligent robots, etc. Based on full investigation of related technologies as pedestrian detection and deep learning, this paper summarized the main difficulties of pedestrian detection and problems of the current method, specifically studied the pedestrian detection method based on deep learning, and proposed an improved pedestrian detection method with DBN classification algorithm on account of the problems existed in current shallow classification method as over amount of training samples and weak fitting ability of complicated functions, etc. First, the research improved the DBN input mode by establishing T-distribution-included function outermost layer nodes RBM (Restricted Boltzmann Machine) input terminal, and converted the extracted pedestrian feature information into the classifier recognizable Bernoulli distribution through the outmost layer structure of the input terminal. Then, BP neural network is used to establish the output terminal of the classification structure to realize the revert transmitting of the classification error message, tune the parameters of classification structure and optimize the structure of the classifier continuously. The experiment shows that the improved DBN pedestrian detection method has better performance than that of the classic shallow-layer classification algorithm. The detection speed of the improved algorithm can satisfy the use requirement.
Liu W.,Huanghuai University
Optoelectronics and Advanced Materials, Rapid Communications | Year: 2011
We present a detailed analysis of the light absorption in the coaxial nanowire (NW) of Si core and nonabsorbing dielectric shell which has great potential in solar cells. We have calculated the absorption efficiency within the framework of the Lorenz-Mie light scattering theory to investigate the effects of the core radius, the shell thickness, and the shell refractive index on the light absorption. We have found that the photocurrent can be enhanced up to ~135% for the coaxial NW of the core radius of 150 nm by tuning the shell thickness and the shell refractive index, as compared to Si NW.
Zhao C.,Huanghuai University
Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014 | Year: 2015
Literary works have a crucial influence on the evolution of English-language literature. A literary work is the main manifestation and material carrier of language literature, also the driving force of the evolution of English-language literature itself. The development process of English-language literature may be divided into several phases by representative works, with each phase reflecting a particular era background and spiritual value. This work discusses the promotive function of literary works to English-language literature through analyzing representative English literature works from different periods. © 2015 Taylor & Francis Group, London.
Han S.,Huanghuai University
Proceedings - 2015 5th International Conference on Communication Systems and Network Technologies, CSNT 2015 | Year: 2015
With the rapid development of computer and information technology, Electronic Commerce has been booming. In the process of Electronic Commerce transaction, the contradiction between the effective legal protection of personal data and its transmission has become increasingly prominent. In order to strive for balance between the privacy protection and the information circulation, first master the main idea of the personal information, then take the measures of ensuring the security of account passwords and other personal information, finally take such measures in accordance with the corresponding laws as the strategy for verification security of the Web user account password, the self-discipline of the merchants at the merchant level, the self-protection of consumers at the consumer level and so on. © 2015 IEEE.