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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Zhai, Jun-Hai Xui, Hong-Yu Zhang, Su-Fang Li, Na Li, Ta Machine Learning Center Faculty of Mathematics and Computer Science Hebei University Baoding 071002 China Teaching and Research of Section of Mathematics Hebei Information Engineering School Baoding 071000 China

ISBN: (纸本)9781467314855

Instance selection is one of important steps in pattern classification. Recently, instance selection is a hot research topic in pattern recognition, data mining, machine learning, and draws many researchers' attention. By instance selection, we can eliminate the redundant instances in the datasets, and select more important and fewer samples as training set to train a classifier with good generalization performance. In this paper, we present an instance selection method based on supervised clustering, the main idea is to select instances belonging to inner boundary and outer boundary of clusters. The experimental results show that our proposed method is effective and efficient. © 2012 IEEE.

关键词： Data mining

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Debugging and Application Test for Integrated Navigation System

Debugging and Application Test for Integrated Navigation Sys...

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2014 2nd International Conference on Soft Computing in Information Communication Technology(SCICT 2014)

作者： Zhi Li Jinjiang Liu Computer Teaching and Research Section Chongqing Vocational College of Architectural Engineering

We integrated the reality and the development of the navigation technology at home and abroad, considered the operating feature of underwater wheeled mining vehicles for mines and their poor working conditions, applied the laser gyro inertial autonomous navigation system advanced at home and abroad during the cooperation between the college and enterprises, and thus have designed the underwater integrated navigation system. The application test shows: The integrated navigation system researched in this paper enjoys a proper design scheme, achieves the expected navigation accuracy and primarily overcomes the positioning error accumulated over time.

关键词： Strap down Inertial Navigation System(SINS) C language MS-DOS Operating System Accelerometer Milemeter Integrated Navigation

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A coding-based protection scheme against eavesdropping in network

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Journal of Computational Information Systems 2013年第23期9卷 9481-9488页

作者： Zhang, Jing Liu, Liu Li, Yunji Computer Teaching and Research Section Chengdu Institute Sichuan International Studies University Chengdu 611844 China Southwest Employee Training Center of Surveying and Mapping Chengdu 610100 China School of Communication and Information Engineering University of Electronic Science and Technology of China Chengdu 611731 China

The Internet becomes more and more complex with the rapid development of network. There exists various adversaries and events which threat to the network security and reliability. Eavesdropping is a common threat to network security. In this paper, we present a novel protection scheme against eavesdropping with coding because that the anti-eavesdropping capability of current schemes is low. The proposed scheme introduces a coefficient of eavesdropping difficulty (CED) and average recovery ratio (ARR) to estimate the eavesdropping difficulty of different encoding algorithms. We use security transmission rate to estimate the anti-eavesdropping capability of different schemes. Then, we propose an encoding algorithm to realize high CED and ARR. The proposed algorithm regards N original data as a coding group, and outputs N coded data. Every coded data is the XOR operation result of two or many original data. The analysis results show that the proposed encoding algorithm can achieve high CED and ARR, and the anti-eavesdropping capability of proposed scheme is promoted by K=(N-k) (1 ≤ k ≤ N-2 is eavesdropping capability) or N-2 (k = N-1) multiples compare with current schemes. Copyright © 2013 Binary Information Press.

关键词： Network coding

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Jaynes-Cummings model with intensity-dependent coupling and Schrbdinger cat state

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Chinese Science Bulletin 1996年第1期41卷 17-20页

作者：王晓光 Computer Teaching and Research Section Electrical Engineering Institute Changchun University Changchun 130022 China

Linear superposition principle is a basic characteristic of quantum mechanics. The quantum interference of matter wave results from this principle. Recently, considerable effort has been devoted to the study of the properties of superpositions of two or more coherent states, i.e. the Schr(?)dinger cat *** is shown that the superpositions of coherent states have properties different from those of the coherent state, such as the higher-order squeezing, sub-Poissonian distribution, oscillatory photon statistics and antibunching effect, because of the quantum interference between the components of the cat states. The emergence of these non-classical effects makes the study of the Schr(?)

关键词： intensity-dependent Jaynes-Cnmmings model Schrodinger cat state.

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Measurement of machined parts by computer vision

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Academic Journal of Manufacturing Engineering 2019年第4期17卷 72-79页

作者： Tao, Wang Weifang University Public Computer Basic Teaching and Research Section Wei Fang Shandong261061 China

Objective: To understand and determine the superiority and effectiveness of computer vision inspection technology in industrial production by studying the measurement of machined parts based on computer vision. Methods: Firstly, computer vision technology and its basic concepts and principles were thoroughly introduced. Then, three modules of computer vision inspection system were constructed, which were image processing module, visual acquisition module, and image analysis and inspection module. Subsequently, the hardware and software of the measurement system were designed and developed based on the transmission chain board. The measurement system was further improved and perfected by using digital image processing technology of parts and sub-pixel edge inspection technology. Finally, the polynomial interpolation method and moment definition method were compared to determine which method was more advantageous. Result: The machine parts measurement system based on computer vision can measure the parts effectively and quickly, especially the fine parts, which has high intelligence and real-time performance. The comparison between the polynomial interpolation method and moment definition method showed that under the same precision, the energy consumption of polynomial interpolation method was relatively smaller than that of moment definition method, and the sub-pixel value of the polynomial interpolation method was higher. Through comparative analysis, it was found that the polynomial interpolation method had higher accuracy, less energy consumption, and more advantages. Conclusion: The measurement system of machined parts based on computer vision can effectively improve the accuracy and efficiency of measurement of machined parts and make real-time measurement and analysis of data results, which is of great significance to improve the efficiency and quality of industrial production. © 2019 Editura Politechnica. All rights reserved.

关键词： Inspection

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A new data protecting scheme based on TPM

A new data protecting scheme based on TPM

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SNPD 2007: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing

作者： Mingdi, Xu Jian, He Bo, Zhang Huanguo, Zhang School of Computer State Key Lab. of Software Engineering Wuhan University Informationization Construction Teaching and Research Section Commanding Communications Academy Computer Faculty Working Office Electronic Information Department Hubei Water Resources Technical College

ISBN: (纸本)0769529097

Trusted platform model (TPM) is special-purpose integrated circuits built into a variety of platforms to enable strong user authentication and machine attestation-essential to prevent inappropriate access to confidential and sensitive information and to protect against compromised networks. As a necessary component for multifarious platforms, storage device keeps on a mass of data including confidential and secretive information. How to ensure data not to be accessed by unauthorized users effectively, and to guarantee information to be in safe and secure state? Aiming at these problems, we put forward a novel scheme for protecting data on personal computer platform. By combing trusted computing platform, we propose a secure and reliable model for user authentication and data encryption. The model uses storage protocol to establish a password system to encrypt data, and uses TPM to authenticate different users. We also implement this model by adding it into trusted computing platform. The enhanced platform can not only encrypt data per sector drastically, but also exclude those who can't be authenticated. Some external software attacks and physical theft also cut no ice. © 2007 IEEE.

关键词： Security of data

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Parallelization of FP-growth Algorithm for Mining Probabilistic Numerical Data Based on MapReduce

Parallelization of FP-growth Algorithm for Mining Probabilis...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Bin Pei Xiuzhen Wang Fenmei Wang Computer Research and Teaching Section New Star Research Institute of Applied Technology Hefei China

ISBN: (纸本)9781509035595

Many association rule mining algorithms find associations and correlations from traditional transaction databases, in which the content of each transaction is definitely precise. However, due to instrument errors, imprecise of sensor monitoring systems, and so on, real-world data tend to be numerical data with inherent uncertainty. To deal with these situations, we propose a FP-growth-based mining algorithm PNFP-growth to efficiently find association rules from probabilistic numerical data, where each numerical item in the transactions is associated with an existential probability. In addition, to deal with big data situation, we also introduce a parallelized PNFP-Growth in the MapReduce framework, which scales well with the size of the dataset while minimizing data replication and communication cost.

关键词： Algorithm design and analysis Probabilistic logic Data mining Itemsets Fuzzy sets Temperature measurement Uncertainty

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Construction and research of virtual network user file system based on Upnp and FUSE on linux

Construction and research of virtual network user file syste...

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2012 International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2012

作者： Xue, Nian Jia, Liwei Information Center Henan Medical College for Staff and Workers Zhengzhou 450009 China Public Infrastructure Department Computer teaching and research section Henan Medical College for Staff and Workers Zhengzhou 450009 China

ISBN: (纸本)9783037856505

The Development of the computer has been from a single machine to the server, and then server clustering technology, and the emerging cloud network, which invariably show the network's role in the computer. Meanwhile, more and more high-end hardware trash or the users may be unbearable of high cost of servers, so the use of existing resources and integration of resources has become increasingly important. This paper will detail a virtual network file system, which based on Upnp (Universal Plug and Play) and FUSE (File system in Usese Space) in Linux operating system. In this study, users can share a computer terminal to collect and use that particular computer terminal on the network to all the resources users are interested in, provided that the shared computer terminals must be installed on a specific Upnp device. In this study, we have successfully implemented single-device-side and single-device-side multithread communication under the Linux or windows operating system. © (2013) Trans Tech Publications, Switzerland.

关键词： File organization

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Synchronization of fuzzy high-order cohen-grossberg neural networks with reaction-diffusion term and time-varying

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Journal of Computational Information Systems 2011年第11期7卷 4145-4152页

作者： Yan, Ping Lv, Teng Lei, Jingsheng He, Weimin School of Science Anhui Agricultural University Hefei 230036 China Teaching and Research Section of Computer Army Officer Academy Hefei 230031 China College of Computer and Information Engineering Shanghai University of Electronic Power Shanghai 200090 China Department of Computing and New Media Technologies University of Wisconsin-Stevens Point Stevens Point WI 54481 United States

Synchronization is very important for the efficient processing and transmission of information across the nervous system. Synchronization processes are ubiquitous in nature and play a very important role in many areas. As a special neural networks, fuzzy neural networks have an automatic adoption procedure and attract many attentions to their dynamical behaviors. In this paper, delayed fuzzy high-order Cohen-Grossberg neural networks with reaction-diffusion term is present and their synchronization is discussed. Some sufficient conditions are given to ensure the synchronization of the drive-response delayed fuzzy high-order Cohen-Grossberg neural networks. Copyright © 2011 Binary Information Press.

关键词： Synchronization

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Extending vector space model for XML ranking

Extending vector space model for XML ranking

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4th International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2011

作者： He, Weimin Lv, Teng Department of Computing and New Media Technologies University of Wisconsin-Stevens Point Stevens Point WI 54481 United States Teaching and Research Section of Computer Artillery Academy Hefei Anhui 230031 China

ISBN: (纸本)9781424498246

There is an increasing interest in recent years for querying and ranking XML documents. In this paper, we present a new framework for querying and ranking schema-less XML documents based on concise summaries of their structural and textual content. We introduce a novel data synopsis structure to summarize the textual content of an XML document for efficient indexing. More importantly, we extend the traditional vector space model to effectively rank XML documents over the proposed data synopses. We conduct extensive experiments over XML benchmark data to demonstrate the advantages of the indexing scheme and the effectiveness of our ranking scheme. We also compare our framework with Lucene to demonstrate our extended TF*IDF scoring function is effective © 2011 IEEE.

关键词： XML

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