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Dongguan, China

Xie Z.W.,Dongguan Polytechnic
Advanced Materials Research | Year: 2014

This thesis studies and develops an agent-based on-line monitoring and diagnosis system. In order to make production line automation, yield high production rate, and enhance the ability of market competition, an effective way is to ensure facilities running smoothly and to reduce the manpower monitoring. Meanwhile in order to reduce the cost of development and enhance the feature of reuse, we use a communication interface to integrate and interact information among developed softwares. Through this system, users may easily monitor and diagnose the machines on production lines through user interfaces, Consequently, it is of greatly help to lower the cost of personnel and enhance the ability of market competition. © (2014) Trans Tech Publications, Switzerland.

Ji S.S.,Dongguan Polytechnic
MATEC Web of Conferences | Year: 2016

Since 21 century, with the wide spread in family and public, network has been applied in many new fields, and the application in classes is of no exception. In traditional education, teachers give lessons to students face to face. Hence, the teaching quality depends largely on the quality and initiative of the individual teacher. However, the serious disadvantages of this mode are that teachers completely dominate the classroom and may ignore the subjective cognition role of the students, which may be bad for the growth of creativity and the innovative thinking ability. Obviously, traditional education mode cannot meet the requirements of the this new era which leads to the booming developing tendency of the network. As a new teaching measure, scientifically combining modern information technology and teaching practice, network teaching not only changes the traditional education by the means and form, but even also gives new meanings to teaching concept, process, method as well as teacher-student role and other deep levels. With the help of network teaching system, on-line classroom learning, relevant information systematization, standardization and automation, this system provides students with an efficient online learning method with high quality. This also helps to solve the disadvantages of the traditional teaching mode and promote the teaching methods to a new stage. It improves the network teaching platform, enriches the network teaching resources, and establishes a network teaching system, so as to improve information quality of teachers and students and assist in improving teaching quality of schools. © Owned by the authors, published by EDP Sciences, 2016.

Wang J.,Dongguan Polytechnic
Advanced Materials Research | Year: 2014

Design an image feature information recognizer using the maximum entropy principle, extract feature information from image file. Set the learning process of the characteristic database in finite source identification of threshold, including the source feature information database learning, and the identification evaluation to dynamically set a threshold for the feature information classification. © (2014) Trans Tech Publications, Switzerland.

Xie Z.W.,Dongguan Polytechnic
Advanced Materials Research | Year: 2014

The IGRS security mechanisms, UPnP security mechanisms as well as non-secure IGRS and UPnP based on the pipeline interconnection methods are discussed study proposes a IGRS and UPnP interconnected security mechanism to protect the interconnection between them security, effectively prevent non-secure interconnection network vulnerabilities against various attacks. © (2014) Trans Tech Publications, Switzerland.

Li J.Y.,Dongguan Polytechnic
Advanced Materials Research | Year: 2014

BP network is one of the most popular artificial neural networks because of its special advantage such as simple structure, distributed storage, parallel processing, high fault-tolerance performance, etc. However, with its extensive use in recent years, it is discovered that BP algorithm has the defects on slow convergent speed and easy convergence to a local minimum point. The paper proposes a method of BP Neural Network improved by Particle Swarm Optimization (PSO). The hybrid algorithm can not only avoid local minimum, but also raise the speed of network training and reduce the convergence time. © (2014) Trans Tech Publications, Switzerland.

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