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International Conference on Advances in Social network Analysis and Mining, ASONAM

作者： Yantao Jia Yuanzhuo Wang Xueqi Cheng Xiaolong Jin Jiafeng Guo CAS Key Laboratory of Network Data Science and Technology Chinese Academy of Sciences Beijing P. R. China

With the coming of the era of big data, it is most urgent to establish the knowledge computational engine for the purpose of discovering implicit and valuable knowledge from the huge, rapidly dynamic, and complex network data. In this paper, we first survey the mainstream knowledge computational engines from four aspects and point out their deficiency. To cover these shortages, we propose the open knowledge network (OpenKN), which is a self-adaptive and evolutionable knowledge computational engine for network big data. To the best of our knowledge, this is the first work of designing the end-to-end and holistic knowledge processing pipeline in regard with the network big data. Moreover, to capture the evolutionable computing capability of OpenKN, we present the evolutionable knowledge network for knowledge representation. A case study demonstrates the effectiveness of the evolutionable computing of OpenKN.

关键词： Knowledge based systems Knowledge engineering Big data Engines Syntactics Semantics data mining

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The Realization of Hierarchical Visualization Methods for database Performance

The Realization of Hierarchical Visualization Methods for Da...

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2012 International Conference on Applied Informatics and Communication(ICAIC 2012)

作者： Yang Tang Mengdong Chen Zheren Li School of Computer Science and Engineering Key Lab.Of Beijing Network Technology Beihang University

database,as the role of providing data services for many applications,has become increasingly ***,in order to ensure the normal operation of the database and facilitate the query of the database administrator,the performance platform of database should be simple,intuitive and structured to display the usage of database ***,the current database performance platform is not structured enough to display the relationship among kinds of parameters and it is inconvenient to generally master the performance *** response to all of these problems,this paper will display these performance parameters using hierarchy visualization *** paper will focus on two hierarchical visualization methods,tree-maps and space tree *** advantages of these two methods in the database performance parameters will be illustrated by achieving a database performance *** results of display will be compared as ***,this paper will give some prospects to other approaches of hierarchy visualization in database performance.

关键词： Hierarchical visualization database performance Space Tree Tree-maps

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Social evolutionary games

Social evolutionary games

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International Conference on Game Theory for networks, GameNets

作者： Jianye Yu Yuanzhuo Wang Xiao!ong Jin Xueqi Cheng CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China

In this paper, we introduce a framework of social evolutionary games (SEG) for investigating the evolution of social networks. In a SEG, a coevolutionary mechanism is adopted by agents who aim to improve his short-term utility and long-term reputation. Two examples are presented to demonstrate SEG, prisoner's dilemma game for pairwise interaction and public goods game for group interaction. Numerical simulations are performed on the two examples with different parameter settings, and the results indicates that SEG can be used as a metaphor for investigating the evolution of social networks in some scenarios.

关键词： Microscopy

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Sequential and adaptive sampling for matrix completion in network monitoring systems

Sequential and adaptive sampling for matrix completion in ne...

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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： Kun Xie Lele Wang Xin Wang Gaogang Xie Guangxing Zhang Dongliang Xie Jigang Wen College of Computer Science and Electronics Engineering Hunan University Changsha China State Key Lab of Networking & Switching Tech. Beijing Univ. of Posts and Telecomm. China Department of Electrical and Computer Engineering State University of New York at Stony Brook USA Institute of Computing Technology Chinese Academy of Sciences Beijing China DNSLAB China Internet Network Information Center Beijing China

End-to-end network monitoring is essential to ensure transmission quality for Internet applications. However, in large-scale networks, full-mesh measurement of network performance between all transmission pairs is infeasible. As a newly emerging sparsity representation technique, matrix completion allows the recovery of a low-rank matrix using only a small number of random samples. Existing schemes often fix the number of samples assuming the rank of the matrix is known, while the data features thus the matrix rank vary over time. In this paper, we propose to exploit the matrix completion techniques to derive the end-to-end network performance among all node pairs by only measuring a small subset of end-to-end paths. To address the challenge of rank change in the practical system, we propose a sequential and information-based adaptive sampling scheme, along with a novel sampling stopping condition. Our scheme is based only on the data observed without relying on the reconstruction method or the knowledge on the sparsity of unknown data. We have performed extensive simulations based on real-world trace data, and the results demonstrate that our scheme can significantly reduce the measurement cost while ensuring high accuracy in obtaining the whole network performance data.

关键词： Monitoring Sparse matrices Matrix decomposition Computers Accuracy Conferences Internet

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Research on feature selection algorithm based on mutual information and genetic algorithm

Research on feature selection algorithm based on mutual info...

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International Conference on Wavelet Active Media technology and Information Processing (ICWAMTIP)

作者： Pan-Shi Tang Xiao-Long Tang Zhong-Yu Tao Jian-Ping Li School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Chongqing Key Lab of Computer Network and Communication Technology

ISBN: (纸本)9781479972098

The wide application of Internet technology and media technology produces more and more data which also leads the arrival of the era of big data. However, it is difficult to extract the needed information from the original data directly except some special conditions. In recent years, the development of machine learning which provide a effective way to solve this problem for us. You can obtain lower rate of Miscalculate when you select a reasonable feature selection algorithm under the premise of not increasing the complexity of algorithm. At present it is divided into two categories named the Filter and Wrapper feature selection algorithm in the field of machine learning. This paper considers both the advantages and disadvantages of these two feature selection algorithm and studies the combined feature selection algorithm.

关键词： Classification algorithms Machine learning algorithms Filtering algorithms Algorithm design and analysis Genetic algorithms Mutual information Accuracy

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Collaboration filtering recommendation optimization with user implicit feedback

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Journal of Computational Information Systems 2014年第14期10卷 5855-5862页

作者： Cui, Haomin Zhu, Ming Joint Laboratory of Network Communication System & Control Key Lab of Anhui Department of Automation University of Science and Technology of China Hefei China

Collaboration Filter is one of well-known effective methods for recommendation. The suggestions are based on the mass of user ratings for various items, which are used as explicit feedback. However, implicit feedback such as the time spent on website, how soon the user skipped the song, and the sequence of selected items have also proved to be useful in recommender systems. In this paper, we proposed a hybrid recommendation algorithm considering both explicit and implicit feedback to produce better recommended list. An iteration process is proposed for using implicit feedback in order to find effective feedback for recommendation. Time window is also used to limit the impact range of implicit feedback. Experimental results on MovieLens datasets show that the implicit feedback can effectively compensate for the shortcomings of explicit feedback and the proposed algorithm is more accurate than the traditional one. © 2014 by Binary Information Press

关键词： Recommender systems

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Implementation and test of human-operated and human-like adaptive impedance controls on Baxter robot

Implementation and test of human-operated and human-like ada...

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15th Annual Conference on Advances in Autonomous Robotics Systems, TAROS 2014

作者： Liang, Peidong Yang, Chenguang Wang, Ning Li, Zhijun Li, Ruifeng Burdet, Etienne Centre for Robotics and Neural Systems School of Computing and Mathematics Plymouth University United Kingdom MOE Key Lab. of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology China State Key Laboratory of Robotics and System Harbin Institute of Technology China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Bioengineering Imperial College of Science Technology and Medicine London United Kingdom

ISBN: (纸本)9783319104003

This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency. © 2014 Springer International Publishing.

关键词： Stiffness

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Quantum subsystem codes drived from negacyclic codes

Quantum subsystem codes drived from negacyclic codes

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International Conference on Wavelet Active Media technology and Information Processing (ICWAMTIP)

作者： Jianzhang Chen Jianping Li Jie Lin Yuanyuan Huang School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Chongqing Key Lab of Computer Network and Communication Technology Department of Network Engineering Chengdu University of Information Technology Chengdu China

In this paper, we utilize negacyclic codes to construct a family of optimal subsystem codes with parameters [[q 2 +1,(q-1) 2 , 4, q-1]] q > where q = 1(mod4), q = p τ , τ ≥ 1 and p is an odd prime. These constru... 详细信息

ISBN: (纸本)9781479972098

关键词： Quantum mechanics Error correction codes Linear codes Error correction Polynomials Galois fields Quantum computing

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Practical quantum key distributions with single-photon-added coherent sources

Practical quantum key distributions with single-photon-added...

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第十六届全国量子光学学术报告会

作者： Dong Wang Zheng-Fu Han Guang-Can Guo Feng Zhu Qin Wang Key Lab of Quantum Information University of Science and Technology of ChinaCAS Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsMinistry of Education

We propose new schemes on implementing the single-photon-added coherent source in the quantum key *** apply the source in either the standard BB84 protocol or the new proposed measurement-device-independent quantum ke... 详细信息

关键词： Practical quantum key distributions with single-photon-added coherent sources

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Edge detection method based on PCNN

Edge detection method based on PCNN

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International Conference on Wavelet Active Media technology and Information Processing (ICWAMTIP)

作者： Xiaolong Tang Zhongyu Tao Panshi Tang Jianping Li School of Computer Science and Engineering University of Electronic and Technology of China Chengdu China Chongqing Key Lab of Computer Network and Communication Technology

ISBN: (纸本)9781479972098

Pulse-Coupled Neural network is known as third generation artificial neural network. It is created by visual cortex neurons, a synchronous pulse release phenomenon of mammals. Compare to traditional artificial neural network, PCNN has the characteristics of dynamic neural network, integrated space-time, automatic propagation and synchronous pulse release. PCNN has tendency for image retention information and edge detection.

关键词： Image edge detection Neurons Biological neural networks Visualization Ignition Computational modeling

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