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

作者： Bo Yuan Qingcai Chen Yang Xiang Xiaolong Wang Liping Ge Zengjian Liu Meng Liao Xianbo Si Intelligent Computing Research Center Key Laboratory of Network Oriented Intelligent Computation Computer Science and technology Department Harbin Institute of Technology Shenzhen graduate School Shenzhen Guangdong 518055 China

ISBN: (纸本)9781627484046

This paper presents a mixed deterministic model for coreference resolution in the CoNLL-2012 shared task. We separate the two main stages of our model, mention detection and coreference resolution, into several sub-tasks which are solved by machine learning method and deterministic rules based on multi-filters, such as lexical, syntactic, semantic, gender and number information. We participate in the closed track for English and Chinese, and also submit an open result for Chinese using tools to generate the required features. Finally, we reach the average F1 scores 58.68, 60.69 and 61.02 on the English closed task, Chinese closed and open tasks.

关键词： Coreference Resolution deterministic English English language Chinese Chinese philosophy Chinese art

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Reports of the AAAI 2011 conference workshops

Reports of the AAAI 2011 conference workshops

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作者： Agmon, Noa Agrawal, Vikas Aha, David W. Aloimonos, Yiannis Buckley, Donagh Doshi, Prashant Geib, Christopher Grasso, Floriana Green, Nancy Johnston, Benjamin Kaliski, Burt Kiekintveld, Christopher Law, Edith Lieberman, Henry Mengshoel, Ole J. Metzler, Ted Modayil, Joseph Oard, Douglas W. Onder, Nilufer O'Sullivan, Barry Pastra, Katerina Precup, Doina Ramachandran, Sowmya Reed, Chris Sariel-Talay, Sanem Selker, Ted Shastri, Lokendra Singh, Satinder Smith, Stephen F. Srivastava, Siddharth Sukthankar, Gita Uthus, David C. Williams, Mary-Anne Department of Computer Science University of Texas at Austin United States Center for Knowledge Driven Information Systems Infosys Labs India Adaptive Systems Section Naval Research Laboratory Washington DC United States Department of Computer Science University of Maryland College Park United States EMC's Center of Excellence in Ireland Research Europe at EMC Ireland Department of Computer Science University of Georgia United States School of Informatics University of Edinburgh United Kingdom Department of Computer Science University of Liverpool United Kingdom Department of Computer Science University of North Carolina Greensboro United States Faculty of Engineering and Information Technology University of Technology Sydney Australia VeriSign Inc. United States Department of Computer Science University of Texas at El Paso United States Machine Learning Department Carnegie Mellon University United States Massachusetts Institute of Technology Media Laboratory United States Carnegie Mellon University's Silicon Valley Campus United States Darrell W. Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computing Science University of Alberta Canada College of Information Studies Institute for Advanced Computer Studies University of Maryland College Park United States Department of Computer Science Michigan Technological University United States Department of Computer Science University College Cork Ireland Cognitive Systems Research Insitute Athens Greece School of Computer Science McGill University Canada Stottler Henke Inc. United States School of Computing University of Dundee United Kingdom Department of Computer Engineering Istanbul Technical University Turkey Convergence Lab Infosys Technologies Ltd. United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor United States Robotics Institute Carnegie Mellon University United States University of Wisconsin

The AAAI-11 workshop program was held Sunday and Monday, August 7-18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages;Analyzing Microtext;Applied Adversarial Reasoning and Risk Modeling;Artificial Intelligence and Smarter Living: The Conquest of Complexity;Artifiicial Intelligence for Data Center Management and Cloud computing;Automated Action Planning for Autonomous Mobile Robots;Computational Models of Natural Argument;Generalized Planning;Human Computation;Human-Robot Interaction in Elder Care;Interactive Decision Theory and Game Theory, 2010;Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action, and Language;Lifelong Learning from Sensorimotor Experience;Plan, Activity, and Intent Recognition;and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Data Assimilation using NeuroEvolution of Augmenting Topologies

Data Assimilation using NeuroEvolution of Augmenting Topolog...

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International Joint Conference on Neural Networks

作者： Andre Grahl Pereira Adriano Petry Computer Science Post-graduate Program - PPGCC Federal University of Rio Grande do Sul - UFRGS Southern Regional Space Research Center - CRS National Institute for Space Research - INPE

ISBN: (纸本)9781467314886

The use of numerical prediction models are essential to modern society. Data assimilation is a technique that aims to increase the prediction accuracy by combining a model output with observational data, resulting in a state that is closer to the true state of the problem. Depending on the size of the model output and the number of observations to assimilate, the combination of these two sources of information may require intensive computing and become a challenge, even for supercomputers used in this type of application. Thus neural networks have been proposed as an alternative to perform high quality data assimilation at lower computational cost. This paper investigates the use of NeuroEvolution of Augmenting Topologies (NEAT) in data assimilation. NEAT is capable of adapting the connections weights and the neural network topology using principles of evolutionary computation in a search for a minimum topology and best performance. In this work, two different models were used for testing: the Lorenz Attractor and Shallow Water model. The experiments compared the results obtained with NEAT and backpropagation neural networks, using as benchmark the Best Linear Unbiased Estimator (BLUE). In the experiment with the Lorenz Attractor, NEAT was able to emulate the data assimilation task with smaller error at lower computational cost. For the Shallow Water model, tested using different grid sizes, it was observed that the errors obtained with both neural networks were small, but NEAT showed high error values. On the other hand, NEAT always gets a topology with significantly fewer operations, and the computational cost difference increases with the grid size.

关键词： Data assimilation NEAT Neural networks BLUE Lorenz attractor Shallow water model

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A segmentation and data association annotation system for laser-based multi-target tracking evaluation

A segmentation and data association annotation system for la...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Chien-Chen Weng Chieh-Chih Wang Jennifer Healey Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Department of Computer Science and Information Engineering Graduate Institute of Networking and Multimedia and the Intel-NTU Connected Context Computing Center National Taiwan University Taipei Taiwan INTEL Research Laboratory Santa Clara CA USA

2D laser scanners are now widely used to accomplish robot perception tasks such as SLAM and multi-target tracking (MTT). While a number of SLAM benchmarking datasets are available, only a few works have discussed the issues of collecting multi-target tracking benchmarking datasets. In this work, a segmentation and data association annotation system is proposed for evaluating multi-target tracking using 2D laser scanners. The proposed annotation system uses the existing MTT algorithm to generate initial annotation results and uses camera images as the strong hints to assist annotators to recognize moving objects in laser scans. The annotators can draw the object's shape and future trajectory to automate segmentation and data association and reduce the annotation task loading. The user study results show that the performance of the proposed annotation system is superior in the V-measure vs. annotation speed tests and the false positive and false negative rates.

关键词： Trajectory Shape Accuracy Lasers Cameras Image segmentation Benchmark testing

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Radiological characteristics of charged particle interactions in the first clay-nanoparticle dichromate gel dosimeter

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Journal of Physics: Conference Series 2013年第1期444卷

作者： M L Taylor T Maeyama N Fukunishi K L Ishikawa K Fukasaku T Furuta S Takagi S Noda R Himeno S Fukuda RMIT University/School of Applied Sciences Melbourne Australia Peter MacCallum Cancer Centre/Physical Sciences Melbourne Australia RIKEN/Nishina Centre for Accelerator-Based Science Wako Japan RIKEN/Computational Science Research Program Wako Japan The University of Tokyo/Department of Nuclear Engineering and Management Graduate School of Engineering Tokyo Japan The University of Tokyo/Photon Science Centre Graduate School of Engineering Tokyo Japan Himon'ya Hospital Department of Neurosurgery Tokyo Japan RIKEN/Advanced Centre for Computing and Communication Wako Japan The University of Tokyo/Department of Mechanical Engineering Graduate School of Engineering Tokyo Japan National Institute of Radiological Sciences / Research Centre for Charged Particle Therapy Chiba Japan

The incorporation of clay nanoparticles into gel dosimeters shows promise for significant diffusion reduction – but to what extent does the presence of the nano-clay influence charged particle interactions and, in particular, what is the impact on water equivalence? In this work, we quantify the radiological characteristics of electron, proton and carbon ion interactions in the RIKEN dichromate nanoclay gel and specifically evaluate the water equivalence over a broad energy range. Results indicate that the radiological properties are sufficiently representative of tissues that this low-diffusion gel could readily be used for validation of complex dose distributions. Electron and proton ranges are within 1 % of those in water. Mean effective atomic numbers for electron interactions in the range 10 keV – 10 GeV are within 1 % of those of water which, coupled with the similar mass density, ultimately means the overall impact on dose distributions is not great. The range of C6+ ions in the nanoclay gel is closer to that of water (< 4 %) than a common polymer gel dosimeter (< 7 %), though experimentally measured R1 values indicate an over-response at low doses.

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Performance Evaluation of WSNs for MAC and Routing Protocols Considering Depletion and Routing Efficiency Metrics

Performance Evaluation of WSNs for MAC and Routing Protocols...

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International Conference on Broadband, Wireless computing, Communication and Applications (BWCCA)

作者： Tao Yang Elis Kulla Tetsuya Oda Leonard Barolli Muhammad Younas Makoto Takizawa Department of Information and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan Graduate School of Engineering Fukuoka Institute of Technology Fukuoka Japan Computing and Communication Technologies Oxford Brookes University Oxford UK Department of Computer and Information Science Seikei University Musashino Tokyo Japan

The Wireless Sensor Networks (WSNs) have a wide range of applications such as target detection and tracking, environmental monitoring, and tactical systems. However, lower sensing ranges result in dense networks, which brings the necessity to achieve an efficient medium access protocol subject to power constraints. Various MAC protocols with different objectives were proposed for wireless sensor networks. In this paper, we evaluate the performance of WSNs considering TwoRayGround radio model, AODV and DSR routing protocols, and TDMA and CSMA MAC protocols. We consider depletion and Routing Efficiency (RE) to evaluate the performance of WSNs. The simulation results show that the depletion of CSMA is better than TDMA for AODV protocol. However, the depletion of TDMA is better than CSMA for DSR protocol. The RE of CSMA is higher than TDMA for AODV protocol. While, the RE of TDMA is higher than CSMA for DSR protocol.

关键词： Wireless sensor networks Media Access Protocol Routing protocols Time division multiple access Topology

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Performance Evaluation of WSNs Considering MAC and Routing Protocols Using Goodput and Delay Metrics

Performance Evaluation of WSNs Considering MAC and Routing P...

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International Conference on Network-Based Information Systems (NBIS)

The Wireless Sensor Networks (WSNs) have a wide range of applications such as target detection and tracking, environmental monitoring, and tactical systems. However, lower sensing ranges result in dense networks, which brings the necessity to achieve an efficient medium access protocol subject to power constraints. Various MAC protocols with different objectives were proposed for wireless sensor networks. In this paper, we evaluate the performance of WSNs using Two Ray Ground and Shadowing radio models and AODV protocol considering TDMA and CSMA MAC protocols. We consider Good put and delay metrics to evaluate the performance of WSNs. The simulation results show that for Two Ray Ground radio model, the good put of CSMA is better than TDMA. However, the good put of TDMA is better than CSMA when using Shadowing radio model.

关键词： Wireless sensor networks Media Access Protocol Shadow mapping Routing protocols Receivers Topology

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Device Interoperability and Authentication for Telemedical Appliance based on the ISO/IEEE 11073 Personal Health Device (PHD) Standards

Device Interoperability and Authentication for Telemedical A...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Luther Paul R. Caranguian Susan Pancho-Festin Luis G. Sison a graduate student in the MS Electrical Engineering (Instrumentation and Control) program of University of the Philippines Diliman. Festin is with the Department of Computer Science University of the Philippines Diliman. with the Electrical and Electronics Engineering Institute University of the Philippines Diliman.

ISBN: (纸本)9781424441198

In this study, we focused on the interoperability and authentication of medical devices in the context of telemedical systems. A recent standard called the ISO/IEEE 11073 Personal Health Device (X73-PHD) Standards addresses the device interoperability problem by defining common protocols for agent (medical device) and manager (appliance) interface. The X73-PHD standard however has not addressed security and authentication of medical devices which is important in establishing integrity of a telemedical system. We have designed and implemented a security policy within the X73-PHD standards. The policy will enable device authentication using Asymmetric-Key Cryptography and the RSA algorithm as the digital signature scheme. We used two approaches for performing the digital signatures: direct software implementation and use of embedded security modules (ESM). The two approaches were evaluated and compared in terms of execution time and memory requirement. For the standard 2048-bit RSA, ESM calculates digital signatures only 12% of the total time for the direct implementation. Moreover, analysis shows that ESM offers more security advantage such as secure storage of keys compared to using direct implementation. Interoperability with other systems was verified by testing the system with LNI Healthlink, a manager software that implements the X73-PHD standard. Lastly, security analysis was done and the system's response to common attacks on authentication systems was analyzed and several measures were implemented to protect the system against them.

关键词： Interoperability Telemedical Authentication

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A novel spinal vertebrae segmentation framework combining geometric flow and shape prior with level set method

A novel spinal vertebrae segmentation framework combining ge...

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IEEE International Symposium on Biomedical Imaging

作者： Poay Hoon Lim Ulas Bagci Omer Aras Yan Wang Li Bai School of Computer Science University of Nottingham Nottingham UK Radiology and Imaging Sciences National Institutes of Health DHHS Bethesda MD USA Molecular Imaging Program National Cancer Institute Bethesda MD USA School of Computing Informatics and Media University of Bradford Bradford UK

ISBN: (纸本)9781457718571

Segmentation of spinal vertebrae is extremely important in the study of spinal related disease or disorders. However, limited work has been done on precise segmentation of spinal vertebrae. The complexity of vertebrae shapes, with gaps in the cortical bone, internal boundaries, as well as the noisy, incomplete or missing information from the images have undoubtedly increased the challenge for image analysis. In this paper, we introduce a novel level set segmentation framework that integrates shape prior and the Willmore flow to drive the level set evolution. While the shape energy draws the level set function towards a range of possible prior shapes, the edge-mounted Willmore energy captures the localized geometry information and smooths the surface during the level set evolution. Experimental results on segmentation of spinal vertebrae from CT images demonstrate the powerful combination of prior knowledge and geometrical flow.

关键词： Shape Level set Image segmentation Kernel Estimation Image edge detection Mathematical model

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A semantics aware approach to automated reverse engineering unknown protocols

A semantics aware approach to automated reverse engineering ...

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International Conference on Network Protocols

作者： Yipeng Wang Xiaochun Yun M. Zubair Shafiq Liyan Wang Alex X. Liu Zhibin Zhang Danfeng Yao Yongzheng Zhang Li Guo Graduate School of Chinese Academy of Sciences Beijing China Institute of Computing Technology Chinese Academy of Sciences Beijing China Department of Computer Science and Engineering Michigan State University East Lansing MI U.S.A. National Computer Network Emergency Response Technical Team Coordination Center of China Beijing China Department of Computer Science and Engineering Michigan State University East Lansing MI USA National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing China Department of Computer Science Virginia Tech Blacksburg VA U.S.A. Institute of Information Engineering Chinese Academy of Sciences Beijing China

Extracting the protocol message format specifications of unknown applications from network traces is important for a variety of applications such as application protocol parsing, vulnerability discovery, and system integration. In this paper, we propose ProDecoder, a network trace based protocol message format inference system that exploits the semantics of protocol messages without the executable code of application protocols. ProDecoder is based on the key insight that the n-grams of protocol traces exhibit highly skewed frequency distribution that can be leveraged for accurate protocol message format inference. In ProDecoder, we first discover the latent relationship among n-grams by first grouping protocol messages with the same semantics and then inferring message formats by keyword based clustering and cluster sequence alignment. We implemented and evaluated ProDecoder to infer message format specifications of SMB (a binary protocol) and SMTP (a textual protocol). Our experimental results show that ProDecoder accurately parses and infers SMB protocol with 100% precision and recall. For SMTP, ProDecoder achieves approximately 95% precision and recall.

关键词： Protocols Postal services Semantics Reverse engineering Electronic mail Natural language processing Vectors

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