检索结果-内蒙古大学图书馆

2012 IEEE International Conference on Cluster computing Workshops, Cluster Workshops 2012

作者： Ye, Wei Dong, Yaozu Ma, Ruhui Liang, Alei Guan, Haibing Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China Intel China Software Center Shanghai 200241 China

ISBN: (纸本)9780768548449

Virtual machine (VM) based state machine approaches, i.e. VM replication, provide high availability without source code modifications, unfortunately, existing VM replication approaches suffer from excessive replication overheads. On the other hand, machine state replication is an overly strong (and therefore less efficient) requirement for high availability in the networked client-server system. In this paper, we propose a generic and highly efficient high availability solution through output continuity. Output continuity considers a backup server as a valid replica as long as the responses generated so far are the same between the backup and primary servers, the server state is propagated from the primary server to the backup server if and only if the previous outputs from the backup and primary servers are different. © 2012 IEEE.

关键词： Fault tolerance

来源：评论

学校读者我要写书评

暂无评论

Accountable authority key policy attribute-based encryption

引用

Science China(Information Sciences) 2012年第7期55卷 1631-1638页

作者： WANG YongTao 1,2 ,CHEN KeFei 1,3 ,LONG Yu 1,4 & LIU ZhaoHui 2 1 Department of computer Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China 2 China Information Technology Security Evaluation center,Beijing 100085,China 3 Shanghai Key laboratory of Scalable computing and systems,Shanghai Jiao Tong University,Shanghai,200240,China 4 State Key laboratory of Information Security,Graduate School of Chinese Academy of Sciences,100039,China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China China Information Technology Security Evaluation Center Beijing China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai China State Key Laboratory of Information Security Graduate School of Chinese Academy of Sciences Beijing China

We present an accountable authority key policy attribute-based encryption (A-KPABE) *** this paper,we extend Goyal's work to key policy attribute-based encryption *** first generalize the notion of accountable authority in key policy attribute-based encryption scenario,and then give a *** addition,our scheme is shown to be secure in the standard model under the modified Bilinear Decisional Diffie-Hellman (mBDDH) assumption.

关键词： accountable authority key policy attribute-based encryption standard model access structure

来源：评论

学校读者我要写书评

暂无评论

EEG-based emotion recognition in listening music by using support vector machine and linear dynamic system 1

引用

19th International Conference on Neural Information Processing, ICONIP 2012

作者： Duan, Ruo-Nan Wang, Xiao-Wei Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China MOE Key Laboratory of Systems Biomedicine Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

ISBN: (数字)9783642344787

ISBN: (纸本)9783642344770

This paper focuses on the variation of EEG at different emotional states. We use pure music segments as stimuli to evoke the exciting or relaxing emotions of subjects. EEG power spectrum is adopted to form features, power spectrum, differential asymmetry, and rational asymmetry. A linear dynamic system approach is applied to smooth the feature sequence. Minimal-redundancy-maximal-relevance algorithm and principal component analysis are used to reduce the dimension of features. We evaluate the performance of support vector machine, k-nearest neighbor classifiers and least-squares classifiers. The accuracy of our proposed method reaches 81.03% on average. And we show that the frequency bands, beta and theta, perform better than other frequency bands in the task of emotion recognition. © 2012 Springer-Verlag.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Automated quality assessment of web pages from textual content

Automated quality assessment of web pages from textual conte...

引用

2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Wang, Xiao-Lin Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dong Chuan Rd. Shanghai 200240 China

ISBN: (纸本)9781467314855

Given the vastness of Internet, search engines have to find not only relevant but also high-quality web pages to satisfy users' information need. At present, most quality assessing methods for web pages are based on link analysis and user feedbacks. Considering that users acquire information from web pages mainly through reading their text, this paper addresses automated quality assessment of web pages from textual content. This paper surveys related works on assessing text's quality, summarizes quality-related features, and examines them with a real-word data set. Experimental results show that features based on the length of text are the most effective, while combining length features with other features such as part-of-speech tags and readability can further improve the accuracy. © 2012 IEEE.

关键词： Websites

来源：评论

学校读者我要写书评

暂无评论

Online vigilance analysis combining video and electrooculography features

Online vigilance analysis combining video and electrooculogr...

引用

19th International Conference on Neural Information Processing, ICONIP 2012

作者： Du, Ruo-Fei Liu, Ren-Jie Wu, Tian-Xiang Lu, Bao-Liang Center for Brain-like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China MOE Key Laboratory of Systems Biomedicine Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

ISBN: (纸本)9783642344992

In this paper, we propose a novel system to analyze vigilance level combining both video and Electrooculography (EOG) features. For one thing, the video features extracted from an infrared camera include percentage of closure (PERCLOS) and eye blinks, slow eye movement (SEM), rapid eye movement (REM) are also extracted from EOG signals. For another, other features like yawn frequency, body posture and face orientation are extracted from the video by using Active Shape Model (ASM). The results of our experiments indicate that our approach outperforms the existing approaches based on either video or EOG merely. In addition, the prediction offered by our model is in close proximity to the actual error rate of the subject. We firmly believe that this method can be widely applied to prevent accidents like fatigued driving in the future. © 2012 Springer-Verlag.

关键词： Eye movements

来源：评论

学校读者我要写书评

暂无评论

EEG-based fatigue classification by using parallel hidden Markov model and pattern classifier combination 1

引用

19th International Conference on Neural Information Processing, ICONIP 2012

作者： Sun, Hui Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China MOE Key Laboratory of Systems Biomedicine Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

ISBN: (数字)9783642344787

ISBN: (纸本)9783642344770

Fatigue is the most important reason leading to traffic accidents. In order to ensure traffic safety, various methods based on electroencephalogram (EEG) are proposed. But most of them, either regression or classification, are focused on the relationship between feature space and observation values, so the changing patterns of features are ignored or discarded. In this paper, we propose a new fatigue classification method by using parallel hidden-Markov-model and pattern classifier combination techniques, where each model represents a particular fatigue-high-related feature. In the experiment, subjects are asked to accomplish some simple tasks, and both their fatigue states and their EEG signals are recorded simultaneously. Experimental results indicate that the mean error rate obtained by using our new method are 11.15% for classifying 3 states and 16.91% for classifying 4 states, respectively, while the existing approach can only reach 16.45% and 23.55% under the same condition. © 2012 Springer-Verlag.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

A recursive local linear estimator for identification of nonlinear ARX systems

A recursive local linear estimator for identification of non...

引用

Universite Libre de Bruxelles

作者： Zhao, Wen-Xiao Zheng, Wei Xing Bai, Er-Wei Key Laboratory of Systems and Control Academy of Mathematics and Systems Science CAS Beijing China National Center for Mathematics and Interdisciplinary Sciences CAS Beijing China School of Computing Engineering and Mathematics University of Western Sydney Penrith NSW 2751 Australia Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 United States

In this work, we propose a recursive local linear estimator (RLLE) for identification of nonlinear autoregressive systems with exogenous inputs, along with an analysis of its strong consistency and asymptotical mean s... 详细信息

ISBN: (纸本)9783902823069

关键词： Mean square error

来源：评论

学校读者我要写书评

暂无评论

Yield enhancement for 3D-stacked ICs: Recent advances and challenges

Yield enhancement for 3D-stacked ICs: Recent advances and ch...

引用

Asia and South Pacific Design Automation Conference

作者： Qiang Xu Li Jiang Huiyun Li Bill Eklow CUhk REliable Computing Laboratory (CURE) Department of Computer Science & Engineering Chinese University of Hong Kong Hong Kong China Automotive Electronics Research Center Shenzhen Institutes of Advanced Technologies Chinese Academy of Sciences China Cisco Systems Inc. San Jose CA USA

Three-dimensional (3D) integrated circuits (ICs) that stack multiple dies vertically using through-silicon vias (TSVs) have gained wide interests of the semiconductor industry. The shift towards volume production of 3D-stacked ICs, however, requires their manufacturing yield to be commercially viable. Various techniques have been presented in the literature to address this important problem, including pre-bond testing techniques to tackle the “known good die” problem, TSV redundancy designs to provide defect-tolerance, and wafter/die matching solutions to improve the overall stack yield. In this paper, we survey recent advances in this filed and point out challenges to be resolved in the future.

关键词： Through-silicon vias Three dimensional displays Testing Bonding Redundancy Semiconductor device modeling Maintenance engineering

来源：评论

学校读者我要写书评

暂无评论

Chinese Coreference Resolution via Ordered Filtering 12

Chinese Coreference Resolution via Ordered Filtering

引用

Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

作者： Xiaotian Zhang Chunyang Wu Hai Zhao Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong UniversityMOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University

ISBN: (纸本)9781627484046

We in this paper present the model for our participation (BCMI) in the CoNLL-2012 Shared Task. This paper describes a pure rule-based method, which assembles different filters in a proper order. Different filters handle different situations and the filtering strategies are designed manually. These filters are assigned to different ordered tiers from general to special cases. We participated in the Chinese and English closed tracks, scored 51.83 and 59.24 respectively.

关键词： Coreference Resolution Filtration Filters Ordered Chinese philosophy Chinese Chinese art proper order paper

来源：评论

学校读者我要写书评

暂无评论

Hybrid Rule-based Algorithm for Coreference Resolution 12

Hybrid Rule-based Algorithm for Coreference Resolution

引用

Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

作者： Heming Shou Hai Zhao Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong UniversityMOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University

ISBN: (纸本)9781627484046

This paper describes our coreference resolution system for the CoNLL-2012 shared task. Our system is based on the Stanford's dcore-f deterministic system which applies multiple sieves with the order from high precision to low precision to generate coreference chains. We introduce the newly added constraints and sieves and discuss the improvement on the o-riginal system. We evaluate the system using OntoNotes data set and report our results of average F-score 58.25 in the closed track.

关键词： Coreference Resolution Sieves sieving

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：