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第十五届汉语词汇语义学国际研讨会

作者： CAO Yuan ZHU Qiaoming LI Peifeng School of Computer Science and Technology of Soochow University Key Lab of Computer Information Processing Technology of Jiangsu Province

In general,Chinese event factuality is determined by the specific vocabularies and syntactic structures of *** Chinese event factuality corpus is to annotate these specific vocabularies and syntactic *** these information is raw and complex,it will result in high computation complexity and low correct rate if we use these information to compute factuality *** paper proposes a 3D representation of Chinese event factuality based on the annotated factual information in a Chinese event factuality *** also presents the transformation rules between the factual information and 3D representation and those between the 3D representation and event *** experimental results demonstrate the effectiveness of our 3D representation.

关键词： Representation of Chinese Event Factuality

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Efficient personalized probabilistic retrieval of Chinese calligraphic manuscript images in mobile cloud environment

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ACM Transactions on Asian Language information processing 2014年第4期13卷 1-38页

作者： Zhuang, Yi Li, Qing Chiu, Dickson K. W. Wu, Zhiang Hu, Haiyang College of Computer and Information Engineering Zhejiang Gongshang University Hangzhou310018 China Department of Computer Science City University of Hong Kong Hong Kong Hong Kong Faculty of Education University of Hong Kong Hong Kong Hong Kong Jiangsu Provincial Key Laboratory of E-Business Nanjing University of Finance and Economics Nanjing China College of Computer Science Hangzhou Dianzi University Hangzhou China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China

Ancient language manuscripts constitute a key part of the cultural heritage of mankind. As one of the most important languages, Chinese historical calligraphy work has contributed to not only the Chinese cultural heritage but also the world civilization at large, especially for Asia. To support deeper and more convenient appreciation of Chinese calligraphy works, based on our previous work on the probabilistic retrieval of historical Chinese calligraphic character manuscripts repositories, we propose a system framework of the multi-feature-based Chinese calligraphic character images probabilistic retrieval in the mobile cloud network environment, which is called the DPRC. To ensure retrieval efficiency, we further propose four enabling techniques: (1) DRL-based probability propagation, (2) optimal data placement scheme, (3) adaptive data robust transmission algorithm, and (4) index support filtering scheme. Comprehensive experiments are conducted to testify the effectiveness and efficiency of our proposed DPRC method. © 2014 ACM.

关键词： Efficiency

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A new dynamic probabilistic Particle Swarm Optimization with dynamic random population topology

A new dynamic probabilistic Particle Swarm Optimization with...

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Congress on Evolutionary Computation

作者： Qingjian Ni Cen Cao Xushan Yin College of Software Engineering Southeast University Nanjing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China School of Computer Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9781479914869

Population topologies of Particle Swarm Optimization algorithm (PSO) have direct impacts on the information sharing amony particles during the evolution, and will influence the PSO algorithms' performance obviously. The canonical PSO algorithms usually use static population topologies, and the majority are the classic population topologies (such as fully connected topology and ring topology). In this paper, we present the strategies of dynamic random topology based on the random generation of population topologies. The basic idea is as follows: various random topologies are used at different stages of evolution in the population, and the solving performance of PSO algorithms is enhanced by improving the information exchange of population in different evolutionary stages. This provides a new way of thinking for the improvement of the PSO algorithm. Experimental results on a relatively new variant of dynamic probabilistic particle swarm optimization show that our strategies can achieve better performance compared with traditional static population topologies. Experimental data are analyzed and discussed in the paper, and the useful conclusions will provide a basis for further research.

关键词： Topology Sociology Statistics Heuristic algorithms Equations Mathematical model Particle swarm optimization

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A three-dimension localization algorithm forwireless sensor network mobile nodes based on double-layers BP neural network

A three-dimension localization algorithm forwireless sensor ...

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9th International Symposium on Linear Drives for Industry Applications, LDIA 2013

作者： Yuming, Mao Yinglong, Wang College of Information Science and Engineering Shandong University of Science and Technology Qingdao China College of Information Science and Electrical Engineering Shandong Jiaotong University Jinan China Shandong Provincial Key Laboratory of Computer Network Shandong Computer Science Center Jinan China

ISBN: (纸本)9783642406393

The paper presents a three-dimensional localization algorithm for wireless sensor network (WSN) mobile nodes based on double-layers BP neural network. The main contribution of the paper is that using the trained double-layers BP neural network and the received signal strength indicator at the unknown point as the input data to Locating the mobile node. According to the result, the average relative error of the algorithm based on double-layers BP neural network is 6.65 %, and themethod has fast processing speed and high precision, and it can provide availability and exact data for WSN. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Sensor nodes

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Comparison of Particle Swarm Optimization algorithms in Wireless Sensor Network node localization

Comparison of Particle Swarm Optimization algorithms in Wire...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Cen Cao Qingjian Ni Xushan Yin School of Computer Science and Engineering Southeast University Nanjing China College of Software Engineering Southeast University Nanjing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

The node localization in Wireless Sensor Network (WSN) presently plays an important role in the field of applications. Particle Swarm Optimization (PSO) algorithm is a typical swarm intelligence method. Researchers propose many PSO variants and try to apply PSO algorithm to the related problems in WSN. This paper focuses on the WSN node localization using PSO algorithm. This paper conducts the experiment simulation, comparison and evaluation work in the node localization using PSO algorithm. The performance of different PSO variants with different population topologies is analyzed. Experiment simulations show that WSN node localization using PSO algorithm can get good performance in ring topology and square topology. In particular, the two newly proposed PSO variants (GDPSO and LDPSO) have good performance on this problem. This paper proposes some useful conclusions, which will provide a valuable reference to WSN engineering field.

关键词： Topology Wireless sensor networks Sociology Statistics Heuristic algorithms Particle swarm optimization Standards

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Robust bilinear matrix recovery by Tensor Low-Rank Representation

Robust bilinear matrix recovery by Tensor Low-Rank Represent...

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International Joint Conference on Neural Networks (IJCNN)

作者： Zhao Zhang Shuicheng Yan Mingbo Zhao Fan-Zhang Li Provincial Key Laboratory for Computer Information Processing Technology Soochow University Department of Electrical and Computer Engineering National University of Singapore Singapore Department of Electronic Engineering City University of Hong Kong Kowloon Hong Kong SAR

ISBN: (纸本)9781479914821

For low-rank recovery and error correction, Low-Rank Representation (LRR) row-reconstructs given data matrix X by seeking a low-rank representation, while Inductive Robust Principal Component Analysis (IRPCA) aims to calculate a low-rank projection to column-reconstruct X. But either column or row information of Xis lost by LRR and IRPCA. In addition, the matrix X itself is chosen as the dictionary by LRR, but (grossly) corrupted entries may greatly depress its performance. To solve these issues, we propose a simultaneous low-rank representation and dictionary learning framework termed Tensor LRR (TLRR) for robust bilinear recovery. TLRR reconstructs given matrix X along both row and column directions by computing a pair of low-rank matrices alternately from a nuclear norm minimization problem for constructing a low-rank tensor subspace. As a result, TLRR in the optimizations can be regarded as enhanced IRPCA with noises removed by low-rank representation, and can also be considered as enhanced LRR with a clean informative dictionary using a low-rank projection. The comparison with other criteria shows that TLRR exhibits certain advantages, for instance strong generalization power and robustness enhancement to the missing values. Simulations verified the validity of TLRR for recovery.

关键词： Dictionaries Robustness Noise Face Error correction Tensile stress Image reconstruction

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Design of the web log analysis system based on Hadoop

Design of the web log analysis system based on Hadoop

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2014 International Conference on Materials Science and Computational Engineering, ICMSCE 2014

作者： Wei, Yong Qing Zhou, Guang Gang Xu, Di Chen, Yu Basic Education Department Shandong Police College China Department of Information Science and Engineering Shandong Normal University China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology China

ISBN: (纸本)9783038350996

As a result of rapid development, the Internet has become an indispensable tool in people's daily life, and web logs have been growing rapidly as well. How to deal with massive logs timely and extract information people need from the logs has become a problem;handling web log by single computer can not meet people's needs any more. Combining cloud computing and Hadoop technology, this paper established a new processing system for the collection of logs and remote parallelization analysis, which not only solved the issues of traditional systems that data handing and collection could not proceed simultaneously, but reduced the performance bottleneck of computing power and storage capacity, thereby saving much time and improving efficiency significantly. © (2014) Trans Tech Publications, Switzerland.

关键词： Computing power

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Boid-Inspired Harmony Search approach to aircraft parameter estimation

Boid-Inspired Harmony Search approach to aircraft parameter ...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Junnan Li Haibin Duan Science and Technology on Aircraft Control Laboratory Beihang University (BUAA) Beijing China Science and Technology on Aircraft Control Laboratory Beihang University (BUAA) Bejing China Provincial Key Laboratory for Information Processing Technology Soochow University Suzhou China

Aircraft parameter estimation is a vital technology in aeronautical industry. It is the fundamental of control law design and aircraft performance evaluation. Harmony Search (HS) is proposed in 2001, which mimics music players composing fantastic music. Its performance has been verified by many benchmark problems. In 1986, Reynolds proposed a mathematical model describing animals' group behavior, and he generally named the flocking creature “boids”, which can be interpreted as “bird like objects”. We modify the pitch adjustment step of HS inspired by the boid model. Our new method is named Boid-Inspired Harmony Search (BIHS). This paper investigates the application of BIHS to aircraft parameter estimation problem. In this work, the longitudinal state-space model of F-18 jet is used. It is shown that the BIHS approach is efficient, and in some ways, has an advantage over the classical Maximum Likelihood (ML) method.

关键词： Parameter estimation Mathematical model Vectors Aircraft Educational institutions Equations Pollution measurement

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A parallel ant colonies approach to de novo prediction of protein backbone in CASP8/9

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Science China(information Sciences) 2013年第10期56卷 226-238页

作者： LV Qiang WU HongJie WU JinZhen HUANG Xu LUO XiaoHu QIAN PeiDe School of Computer Science and Technology Soochow University Jiangsu Provincial Key Lab for Information Processing Technologies School of Electronic and Information Engineering Suzhou University of Science and Technology

Predicting the three-dimensional structure of proteins from amino acid sequences with only a few remote homologs,or de novo prediction,remains a major challenge in computational *** modeling of the protein backbone represents the initial phase of a protein structure prediction *** a parallel ant colony optimization based on sharing one pheromone matrix,this report proposes a parallel approach to predict the structure of a protein *** parallel approach combines various sources of energy functions and generates protein backbones with the lowest energies jointly determined by the various energy *** free modeling targets in CASP8/9 are used to evaluate the performance of the *** 13 targets in CASP8,two out of the predicted model1s selected by our approach are the best of the published CASP8 results,and seven out of the model1s are ranked in the top *** 29 targets in CASP9,20 out of the best models from our predictions are ranked in the top 10,and 11 out of the model1s are ranked in the top 10.

关键词： protein backbone prediction parallel ant colony optimization

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Security analysis on "Strongly secure certificateless key-insulated signature secure in the standard model"

Security analysis on "Strongly secure certificateless key-in...

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International Conference on Intelligent information Hiding and Multimedia Signal processing

作者： Feng Wang Li Xu Jeng-Shyang Pan College of Mathematics and Physics Fujian University of Technology Fuzhou Fujian 350118 China Fujian Provincial Key Laboratory of Network Security and Cryptology School of Mathematics and Computer Science Fujian Normal University Fuzhou Fujian 350117 Fujian Provincial Key Laboratory of Network Security and Cryptology School of Mathematics and Computer Science Fujian Normal University Fuzhou Fujian 350117 China College of Information Science and Engineering Fujian University of Technology Fuzhou Fujian 350118China

ISBN: (纸本)9781509001897

Certificateless signature eliminates the need of certificates in traditional public key signature and solves the inherent key escrow problem in identity-based signature. Therefore, it is an important secure requirement to solve key escrow problem in certificateless signature scheme, i.e., certificateless signature scheme should to resist the malicious but passive KGC attack. key-insulated signature reduces the endangerment of private key leakage. Recently, Chen et al. propose a certificateless key-insulated signature scheme, and give the security proof in the standard model. In this paper, we give a security analysis of Chen et al.'s scheme. Our analysis reveals that Chen et al.'s scheme is vulnerable to the malicious-but-passive KGC attack.

关键词： Certificateless signature key-insulated signature malicious-but-passive KGC attack

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