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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: (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

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Online vigilance analysis combining video and electrooculography features

Online vigilance analysis combining video and electrooculogr...

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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

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Chinese Coreference Resolution via Ordered Filtering 12

Chinese Coreference Resolution via Ordered Filtering

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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

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Hybrid Rule-based Algorithm for Coreference Resolution 12

Hybrid Rule-based Algorithm for Coreference Resolution

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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

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Break index labeling of mandarin text via syntactic-to-prosodic tree mapping

Break index labeling of mandarin text via syntactic-to-proso...

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International Symposium on Chinese Spoken Language Processing

作者： Xiaotian Zhang Yao Qian Hai Zhao Frank K. Soong Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiaotong University Shanghai China Microsoft Research Asia Beijing China

In this study, we investigate the break index labeling problem with a syntactic-to-prosodic structure conversion. The statistical relationship between the mapped syntactic tree structure and prosodic tree structure of sentences in the training set is used to generate a Synchronous Tree Substitution Grammar (STSG) which can describe the probabilistic mapping (substitution) rules between them. For a given test sentence and the corresponding parsed syntactic tree structure, thus generated STSG can convert the syntactic tree to a prosodic tree statistically. We compare the labeling results with other approaches and show the probabilistic mapping can indeed benefit break index labeling performance.

关键词： IP networks Biological system modeling Pragmatics Abstracts Syntactics

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Toward a lightweight framework for monitoring public clouds

Toward a lightweight framework for monitoring public clouds

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International Conference on Computational Aspects of Social Networks, CASON

作者： Kun Ma Runyuan Sun Ajith Abraham Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan China Machine Intelligence Research Labs Scientific Network for Innovation and Research Excellence Auburn USA

Nowadays, the cloud computing owners lack management and monitoring tools to ensure the performance, robustness, dependability, and security. To address this limitation, this paper described our experience with a lightweight monitoring framework using some extra development work. This framework performed end-to-end measurements at virtual machine instances and software in the public cloud. It monitors quality of service parameters of the IaaS and SaaS layer without modifying the implementation of the monitored object. In addition, we discussed the manager-agent and module-centralized architecture in details. All the modules make up the entire proposed framework to improve the performance of applications in public clouds.

关键词： Monitoring Cloud computing Virtual machining Availability Computer architecture Measurement

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Robust and Dynamic Data Aggregation in Wireless Sensor Networks: A Cross-Layer Approach

Robust and Dynamic Data Aggregation in Wireless Sensor Netwo...

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted computing, UIC-ATC

作者： Weigang Wu Jiannong Cao Hejun Wu Jingjing Li The Key Laboratory of Machine Intelligence and Sensor Networks Ministry of Education China Department of Computer Science Sun Yat-sen University Guangzhou China Department of Computing Hong Kong Polytechnic University Hong Kong China

In-network data aggregation is an effective technique to reduce communication cost in wireless sensor networks. Recent works have focused on two issues individually: dynamic aggregation to handle irregular traffic of events and robust aggregation to tolerate packet losses. However, how to achieve both the objectives simultaneously is still not touched. In this paper, we propose a cross-layer approach to robust and dynamic data aggregation by making use of direct support from MAC layer. A new MAC protocol, DA-MAC is delicately designed to serve such purpose. Based on the channel contention information obtained from DA-MAC, a node can dynamically determine where and when to do aggregation. To cope with packet losses, a virtual overlay, Rings is adopted to forward one packet to multiple nodes. We have implemented our design in TinyOS based sensor networks. Performance evaluations though simulations and experiments show that, compared with existing algorithms, our proposed solution is more efficient in terms of both time and energy cost.

关键词： Heuristic algorithms Media Access Protocol Robustness Wireless sensor networks Algorithm design and analysis

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Degree-constrained minimum spanning tree problem using genetic algorithm

Degree-constrained minimum spanning tree problem using genet...

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World Congress on Nature & Biologically Inspired computing (NaBIC)

作者： Keke Liu Zhenxiang Chen Ajith Abraham Wenjie Cao Shan Jing Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan P. R. China Machine Intelligence Research Labs (MIR Labs) WA USA IT For Innovations VSB-Technical University of Ostrava Czech Republic

Computer network technology has been growing explosively and the multicast technology has become a hot Internet research topic. The main goal of multicast routing algorithm is seeking a minimum cost multicast tree in a given network, also known as the Steiner tree problem, which is a classical NP-Complete problem. We measure the multicast capability of each node through the degree-constraint for each node and discuss the problem of multicast in the case of degree-constraint, which has an important significance in the communication network. Limiting the capacity of each node during the replication process of information transmission can improve the speed of the network, which has an important significance in real-time service. In this paper, we solve constrained multicast routing algorithm based on genetic algorithm. The idea is to simulate the Darwinian theory of biological evolution. At the same time, we improve the generating random tree and replace the variation by the combination of the two variations. On one hand, we improve the efficiency of generating random tree and on the other hand, we can control the mutation of different variations in a more flexible manner.

关键词： Genetic algorithms Algorithm design and analysis Sociology Statistics Routing Encoding Convergence

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Research on fractional order controller based on best rational approximation approach

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Journal of Convergence Information Technology 2012年第4期7卷 50-58页

作者： Zhao, Huimin Nie, Bing Li, Wen Deng, Wu Software Institute Dalian Jiaotong University Dalian 116028 China Key Laboratory of Numerical Simulation in the Sichuan Provincial College Neijiang Normal University Neijiang 641112 China Artificial Intelligence Key Laboratory of Sichuan Province Sichuan University of Science and Engineering Zigong 643000 China State Key Laboratory of Power Transmission Equipment and System Security and New Technology College of Electrical Engineering Chongqing University Chongqing 400044 China Key Laboratory of advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

Introduce the basic concept of best rational approximation and constructing procedure of the best rational approximation function in Laplace domain. By an illustrative example the design method of FOC based on best rational approximation is discussed. The performance comparison of transfer functions between the FOC obtained by best rational approximation method and conventional PID shows that it is effective to apply the method in design of FOC, which can guarantee maximum absolute error of amplitude frequency characteristic of approximation function in a given error tolerance.

关键词： Rational functions

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A transparent data middleware in support of multi-tenancy

A transparent data middleware in support of multi-tenancy

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2011 7th International Conference on Next Generation Web Services Practices, NWeSP 2011

作者： Ma, Kun Chen, Zhenxiang Abraham, Ajith Yang, Bo Sun, Runyuan Shangdon Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan China Machine Intelligence Research Labs Scientific Network for Innovation and Research Excellence United States

ISBN: (纸本)9781457711268

The upcoming business model of providing Software as a Service (SaaS) not only creates new challenges for service providers but also for software engineers. Data is at the heart of SaaS. Therefore, multi-tenancy data architecture becomes hot topic. However, most tenant data solutions only solve part of the problem and focus on isolation and sharing. In this paper, we present an architecture that enables multi-tenancy at the database driver level, which enable tenants to run their applications in a multi-tenant framework. This approach is transparent for the application. Additionally, the architecture and analysis are discussed in detail. © 2011 IEEE.

关键词： Middleware

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