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2009中国宁波国际计算机科学与技术学术大会

作者： Yong Wang Yanqin Zhu Xizhao Luo School of Computer Science and Technology Soochow University Jiangsu Provincial Key Lab of Computer Information Processing Technology

YCH scheme is a multi-secret sharing scheme based on two-variable one-way function and Shamir's threshold secret sharing scheme,but the scheme does not have the property of *** paper presents a verifiable multi-secret sharing scheme based on YCH scheme,RSA cryptosystem, and Schnorr *** dose not need a secure channel and each participant chooses his secret shadow by himself, and it can defend positive attack of dealer and participants.

关键词： Multi-Secret Sharing RSA Cryptosystem Schnorr Signature Verification

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AN IMPROVED（k,m）-DOT1~n SCHEME FOR ARBITRARY K

AN IMPROVED（k,m）-DOT1~n SCHEME FOR ARBITRARY K

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2009中国宁波国际计算机科学与技术学术大会

作者： Juan Xie Yanqin Zhu Xizhao Luo School of Computer Science and Technology Soochow University Jiangsu Provincial Key Lab of Computer Information Processing Technology

In（k,m）-DOT~nScheme,the sender's privacy can not be guaranteed,even if the protocol itself is security,if we can not ensure that a receiver gets information from at most k *** Naor and Pinkas' s scheme,they give two solutions that are applicable for the case k>m/2,in Nikov et al.'s scheme,they avoid this problem by means of implementing a m-out-of-m access *** this paper,we put forward a settlement for arbitrary k,in which the receiver only can choose k servers to interactive and solve the problem getting the desired security.

关键词： Distributed Oblivious Transfer Polynomial Interpolation Privacy Preserving

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Exploring Various Features in Semantic Role lab.ling

Exploring Various Features in Semantic Role Labeling

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International Conference on Advanced Language processing and Web information Technology (ALPIT)

作者： Hongling Wang Guodong Zhou Qiaoming Zhu Peide Qian Jiangsu Provincial Key Lab for Computer Information Processing TechnologySchool of Computer Science and Technology Soochow University Suzhou China 215006

This paper explores the contributions of various features in semantic role lab.ling. Moreover, an optimal set of features is selected using a greedy strategy. Finally, an effective headword-driven pruning algorithm is proposed to filter out irrelavant instances. Evaluation on the CoNLL'2005 SRL benchmark corpus shows that our method achieved comparable performance with the best-reported ones on a single automatic parse tree.

关键词： Training Classification algorithms Accuracy Pediatrics Support vector machines lab.ling System performance

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Mobile Crowd-Sensing System Based on Participant Selection 15th

Mobile Crowd-Sensing System Based on Participant Selection

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15th International Conference on Green, Pervasive, and Cloud Computing, GPC 2020

作者： Tu, Chunyu Han, Lei Wang, Leye Yu, Zhiyong College of Mathematics and Computer Science Fuzhou University Fuzhou China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China Key Laboratory of Spatial Data Mining and Information Sharing Ministry of Education Fuzhou China Key Lab of High Confidence Software Technologies Peking University Beijing China

ISBN: (纸本)9783030642426

Mobile Crowdsensing (MCS) is often accompanied by various adverse objectives when performing data collection, which makes it difficult to collect accurate data of the entire target area with low cost. Therefore, how to collect a small part of the data to accurately infer the other data of the entire target area is a crucial issue. People’s daily trajectories usually follow a certain pattern, for example, students go to school, company employees go to work. This pattern allows us to find participants who often pass through fixed areas within a certain time span, leading their collected partial data are near optimal for the entire data collection task. This paper models the problem and develops multiple methods to improve the participant selection and the data recovery. Particularly, we use a random method, reinforcement learning, and greedy algorithm to handle this problem and compare the differences among these methods by experiments. © 2020, Springer Nature Switzerland AG.

关键词： Reinforcement learning

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A Resource Matching Algorithm for Dynamic Multi-Homing Service Environment 2

A Resource Matching Algorithm for Dynamic Multi-Homing Servi...

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2nd IEEE Advanced information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

作者： Zhang, Hui Liu, Shu Nanjing University of Posts and Telecommunications Jiangsu Key Lab of Wireless Communications Nanjing China National Engineering Research Center of Communications and Networking Nanjing University of Posts and Telecommunications Nanjing210003 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China

ISBN: (纸本)9781538618035

T43 paper investigates the matching problem between radio resources and multi-homing services in a dynamic heterogeneous wireless environment. A mobile terminal (MT) with multi-homing service simultaneously transmits data to multiple radio access networks using multiple air interfaces. We develop an energy efficient resource matching algorithm for statistically guaranteeing the transmission rate of each MT with the minimum power consumption. Firstly, aided with the resource matching conception and the dynamic characteristics of wireless channels, we propose a matching probability metric to construct resource matching model for maximizing energy efficiency of all MTs subject to statistical guarantee requirements, and simplify the dynamic channels characteristic based on matching theory. Secondly, we propose a two-level distributed matching algorithm (TLDMA), with inner minimum power consumption and outer maximum matching probability, which realizes joint optimal allocation of bandwidth, transmission power and rate. Simulation results show that TLDMA outperforms conventional algorithms in terms of wireless resources management. © 2018 IEEE.

关键词： Energy efficiency

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Construction of a Sequence- and Backbone-Dependent Rotamer Library by Hidden-Markov Model

Construction of a Sequence- and Backbone-Dependent Rotamer L...

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Wei Wen Qiang Qiang Lü Peng Yang Lingyun Yang Jinzhen Wu Xu Huang School of Computer Science and Technology Soochow University Suzhou China Information Processing Technology Jiangsu Provincial Key Lab for Computer Suzhou China

Sidechain prediction is an important subproblem of protein design and structure prediction. Construction of rotamer library is the basis for protein sidechain prediction because it provides the basic searching space for prediction. However, the state-of-the-art rotamer libraries focus on the statistical information of individual amino acids, ignoring the direct affection of its adjacent amino acids. This article presents a sequence- and backbone-dependent rotamer library. Both the conformation information of adjacent amino acids and torsion angle of the current residue are taken into account to construct a sequence- and backbone-dependent library by HMM. Evaluation on all 13 free modeling targets of CASP8 based on our rotamer library is conducted. Comparing with side-chain prediction based on the state-of-the-art rotamer library, our library outperforms the sidechain prediction accuracy on all the test targets to a certain extent.

关键词： Libraries Proteins Spine Amino acids Bayesian methods Hidden Markov models Predictive models Space technology Accuracy Statistical analysis

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An online semantic tree for link detection

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Journal of Convergence information Technology 2012年第5期7卷 147-157页

作者： He, Ruifang Hong, Yu Information System and Software Engineering Lab School of Computer Science and Technology Tianjin University Tianjin 15001 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou 215006 China

Link Detection (abbr. LDT) is to determine whether two stories discuss the same topic in Topic Detection and Tracking (abbr. TDT) track. The key issue is to correctly measure the relevance between two stories. Most researches on LDT use a series of independent words to describe stories (each story is a text specially discussing news), and the relevance between two stories is determined based on the percentage and weight of overlapping words between them. Although substantial improvement has been achieved, inadequate descriptions of word sense and semantics still have negative influences on the accuracy of LDT. In this paper we propose an online semantic tree, which is hierarchically constructed by the most relevant words extracted from previous story streams. In online semantic tree, word sense is described by a series of words in a sense closed-loop, and semantic relation among words is measured by depth and width of level that words locate in. In LDT, online semantic tree is built for each story, and the relevance between two stories is determined by measuring the KL divergence between their online semantic trees. The method performs quite well on TDT4 corpus. The Min Norm CDet of the method in testing is 0.2274 lower than that of the baseline.

关键词： Semantics

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A Novel User Behavior Prediction and Optimization Algorithm for Single-User Multi-terminal Scenario

A Novel User Behavior Prediction and Optimization Algorithm ...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Hui Zhang Juan Chen Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China Jiangsu Key Lab of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781509035595

For the single-user multi-terminal scenario, a novel user service behavior prediction and optimization algorithm is proposed in this paper, which can realize the accurate prediction of service requirements and optimal selection of service terminals, so as to improve user QoE effectively. Firstly, by using an adaptive feedback based weight correction method, a modified entropy weighted Markov model is formulated to accurately predict user future service states. Secondly, according to the above prediction results, the corresponding heavy-tailed model is used to estimate the service duration. Moreover, by integrating service preferences and terminal attributes, a matching metric of services and terminals is established, and then a terminal selection model is proposed for recommending the optimal service terminal to each user. Simulation results show the effectiveness of proposed algorithm.

关键词： Predictive models Markov processes Optimization Entropy Adaptation models Prediction algorithms Measurement

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Exploring Syntactic Features for Pronoun Resolution Using Context-Sensitive Convolution Tree Kernel

Exploring Syntactic Features for Pronoun Resolution Using Co...

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International Conference on Asian Language processing (IALP)

作者： Kong Fang Yancui Li Guodong Zhou Qiaoming Zhu Jiangsu Provincial Key Lab for Computer Information Processing Technology School of Computer Science and Technology Soochow Univ. Suzhou China College of Information Technology Henan Institute of Science and Technology Xinxiang Henan China Jiangsu Provincial Key Lab. for Comput. Inf. Process. Technol. Soochow Univ. Suzhou Suzhou China

This paper proposes to use a convolution kernel over parse tree to model syntactic structure information for pronoun resolution. Our study reveals that the syntactic structure features embedded in a parse tree are very effective for pronoun resolution and these features can be well captured by the context-sensitive convolution tree kernel. Evaluation on the ACE 2003 corpus shows that among all structured syntactic feature space, shortest path tree achieves the best performance. Then we incorporate more features into SPT, result shows that SPT can use successfully with normal features. Finally, we compare our system with other pronoun resolution systems, our results are outstanding in success rate than normal features and tree kernel-based method of Yang.

关键词： Convolution Kernel information processing computer science Educational institutions information technology Paper technology Electronic mail Data mining lab.ling

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Advances in Data and Web Management 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Qing Li Ling Feng Jian Pei Sean X. Wang Xiaofang Zhou Qiao-Ming Zhu

ISBN: (数字)9783642006722

ISBN: (纸本)9783642006715

This book constitutes the proceedings of the joint International Conference APWeb/WAIM 2009 which was held in Suzhou, China, during April 1-4, 2009. The 42 full papers presented together with 26 short papers and the abstracts of 2 keynote speeches were carefully reviewed and selected for inclusion in the book. The topics covered are query processing, topic-based techniques, Web data processing, multidimensional data analysis, stream data processing, data mining and its applications, and data management support to advanced applications.

关键词： computer Communication Networks Data Mining and Knowledge Discovery information Systems Applications (incl. Internet) information Storage and Retrieval Pattern Recognition information Systems and Communication Service

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