Beijing Information Technology College

Beijing, China

Beijing Information Technology College

Beijing, China

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Xiaolei Z.,Beijing Information Technology College
Journal of Convergence Information Technology | Year: 2012

The image registration method based on mutual information is high precision and robust, so it is focused in the image registration research in recent years and is extensively applied in many fields. This paper proposes a new image registration method based on the minimal probability distance (namely symmetric KL distance) and gives a PV interpolation policy for this new algorithm to effectively the inherent weakness of the PV interpolation based on the image joint histogram. Finally the test validates correctness and high efficiency of the registration method based on the minimal probability distance and improved PV interpolation algorithm.


Zhan Y.,Beijing Information Technology College
Advanced Materials Research | Year: 2014

In the TV program production, the Media Assets Management system should have integration of production, material management, browsing, information management, friendly interface, standardized operation and open system and other functions. The MAM system consists of the Media Assets Management server, WEB application server, streaming media server, cataloging workstation and data streaming tape library. The MAM system in the Whole station network should be an extended full service platform to achieve unified management of various media assets automatically. © (2014) Trans Tech Publications, Switzerland.


Li P.,Beijing Information Technology College
Advanced Materials Research | Year: 2014

Knowledge contests, curriculum evaluation and other activities need to use item bank subject selection system, but such software on the market is less, and the software's function is often vary with the user's actual demands. Considering the widely use of PowerPoint software in practical work, the design and development of subject selection system based on PowerPoint software are extremely convenient and practical, but its interactive function is not strong, it is difficult to make subject selection intelligent and interactive. In this paper, the PowerPoint software is taken as a development platform, the VBA technology custom solution is used to design and develop intelligent interactive subject selection system. © (2014) Trans Tech Publications, Switzerland.


Zhang H.-J.,Beijing Information Technology College
Proceedings - 2015 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2015 | Year: 2015

This article mainly aims at the sorting algorithm of the era of big data analysis, for the ranking method of a series of corresponding research, and for the realization of the algorithm in this series. © 2016 IEEE.


Li P.,Beijing Information Technology College
Advanced Materials Research | Year: 2014

MultiSim is a famous electronic designed automation software, which is widely used in circuit teaching, circuit design and SPICE simulation. In this paper, the MultiSim software is introduced into electronic circuit teaching, the three-section teaching pattern and six-step teaching process are proposed, meanwhile, the teaching design examples of three-level amplification circuit and its frequency characteristic analysis are also demonstrated. The research results show the advantages of MultiSim virtual simulation software are to build a learning platform to explore, resolve the difficulty of teaching, and promote students thinking. MultiSim virtual simulation software is a carrier of learning for students, it is the source of the question, it is an effective tool for improving students' learning enthusiasm and initiative. © (2014) Trans Tech Publications, Switzerland.


Shi H.M.,Beijing Information Technology College
Advanced Materials Research | Year: 2014

The main research content of this article is to design a direct sequence spread spectrum communication system based on software radio technology. In this paper, design of spread spectrum receiver system directly to intermediate frequency sampling signal processing, after internal processing directly output transmission baseband signal information. © (2014) Trans Tech Publications, Switzerland.


Ting C.,Beijing Information Technology College
Proceedings - 2015 7th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2015 | Year: 2015

Based on the research of the traditional intrusion detection technology analysis, statistical model for the formation of the rule base, management and the ability of intrusion detection and so on there are still some deficiencies and defects, due to the actual test result can not meet the requirements. This article is based on the traditional intrusion detection system in the high miss rate and error rate, slow training process and low detection efficiency problems to be solved, this paper proposes a intrusion detection system based on BP neural network. © 2015 IEEE.


Fan M.Y.,Beijing Information Technology College
Computing, Control, Information and Education Engineering - Proceedings of the 2015 2nd International Conference on Computer, Intelligent and Education Technology, CICET 2015 | Year: 2015

In order to explain how to build an efficient “Student-Centered” class in vocational colleges, which emphasizes collaboration between teachers and students, this paper analyses the reasons of using teaching aids from the point of the current situation of vocational college is, after that it gets the first conclusion that teaching aids are necessary in vocational colleges. Then it discusses different kinds of teaching aids in various ways, at last demonstrates if a teacher in vocational colleges can make the interesting, visual teaching aids be involved in the learning process, it could be effective to stimulate students’ curiosity in learning, highlighting the focus of teaching, breaking through the difficulties of teaching, optimizing the structure of teaching and learning, developing innovative thinking ability for students. © 2015 Taylor & Francis Group, London.


Hai-Jian Z.,Beijing Information Technology College
Proceedings - 7th International Conference on Intelligent Computation Technology and Automation, ICICTA 2014 | Year: 2015

With the development of Internet technology and outbreak of information revolution, 'big data' has become a new keyword and is impacting on the marketing system of enterprises. The application of big data is propitious to data competitiveness construction, consumer demand insight and data innovative thinking, Cloud computing and data mining technology provide powerful supports for data mining application. It can fully mining the basic information, interests and preferences of the consumers with big data resources, which shows great value for consumer cluster subdivision and take unique strategy for each cluster. Currently, almost all the enterprises are faced with the challenges of big data. Whether enterprises can provide accurate services with appropriate technology becomes the key to success under the large data tide. This paper firstly introduces the cloud computing and data mining technology, and then shows several cases of consumer features mining. © 2014 IEEE.


Xu Z.,Beijing Information Technology College
Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016 | Year: 2016

With the gradual development of Internet of Things (IOT), there is a growing demand for intelligent household products in Smart Home. The access to a network through traditional technologies like IPv4, Bluetooth and ZigBee can no longer meet the requirements of Smart Home. In this paper, the Smart Home network based on the next generation of network protocol IPv6 is designed, and an IPv6-based Smart Home intelligent gateway system is implemented. Thus, the intelligent household products can be directly connected to the Internet, which will bring an unprecedented experience to the users. Major technical points are illustrated in the process of constructing Smart Home network, including the design of the intelligent gateway control system for Smart Home. © 2016 IEEE.

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