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19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010

作者： Beck, Aryel Cañamero, Lola Bard, Kim A. Adaptive Systems Research Group School of Computer Science and STRI University of Hertfordshire College Lane Herts AL10 9AB United Kingdom Centre for the Study of Emotion Department of Psychology University of Portsmouth PO1 2DY United Kingdom

ISBN: (纸本)9781424479917

In order for robots to be socially accepted and generate empathy it is necessary that they display rich emotions. For robots such as Nao, body language is the best medium available given their inability to convey facial expressions. Displaying emotional body language that can be interpreted whilst interacting with the robot should significantly improve its sociability. This research investigates the creation of an Affect Space for the generation of emotional body language to be displayed by robots. To create an Affect Space for body language, one has to establish the contribution of the different positions of the joints to the emotional expression. The experiment reported in this paper investigated the effect of varying a robot's head position on the interpretation, Valence, Arousal and Stance of emotional key poses. It was found that participants were better than chance level in interpreting the key poses. This finding confirms that body language is an appropriate medium for robot to express emotions. Moreover, the results of this study support the conclusion that Head Position is an important body posture variable. Head Position up increased correct identification for some emotion displays (pride, happiness, and excitement), whereas Head Position down increased correct identification for other displays (anger, sadness). Fear, however, was identified well regardless of Head Position. Head up was always evaluated as more highly Aroused than Head straight or down. Evaluations of Valence (degree of negativity to positivity) and Stance (degree to which the robot was aversive to approaching), however, depended on both Head Position and the emotion displayed. The effects of varying this single body posture variable were complex. © 2010 IEEE.

关键词： Robots

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Liu et al. reply.

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Nature 2011年第7369期478卷 E4-E5页

作者： Liu, Yang-Yu Slotine, Jean-Jacques Barabási, Albert-László 1 1] Center for Complex Network Research and Departments of Physics Computer Science and Biology Northeastern University Boston Massachusetts 02115 USA Center for Cancer Systems Biology Dana-Farber Cancer Institute Boston Massachusetts 02115 USA 2 1] Nonlinear Systems Laboratory Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Mechanical Engineering and Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA 3 1] Center for Complex Network Research and Departments of Physics Computer Science and Biology Northeastern University Boston Massachusetts 02115 USA Department of Medicine Brigham and Women's Hospital Harvard Medical School Boston Massachusetts 02115 USA

Replying to F.-J. Müller & A. Schuppert Nature 478, 10.1038/nature10543 (2011) Müller and Schuppert1 describe an exception to our finding2 that roughly 80% of the nodes must be controlled to gain full control over gene regulatory networks. Yet our result hides subtleties that reveal as much about controllability as about the limits of our current understanding of biological networks.

关键词： Physics Applied physics and engineering

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A semantic model to study neural organization of language in bilingualism

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Computational Intelligence and Neuroscience 2010年第1期2010卷 350269页

作者： Ursino, M. Cuppini, C. Magosso, E. Department of Electronics Computer Science and Systems University of Bologna I40136 Bologna Viale Risorgimento 2 Italy

A neural network model of object semantic representation is used to simulate learning of new words from a foreign language. The network consists of feature areas, devoted to description of object properties, and a lexical area, devoted to words representation. Neurons in the feature areas are implemented as Wilson-Cowan oscillators, to allow segmentation of different simultaneous objects via gamma-band synchronization. Excitatory synapses among neurons in the feature and lexical areas are learned, during a training phase, via a Hebbian rule. In this work, we first assume that some words in the first language (L1) and the corresponding object representations are initially learned during a preliminary training phase. Subsequently, second-language (L2) words are learned by simultaneously presenting the new word together with the L1 one. A competitive mechanism between the two words is also implemented by the use of inhibitory interneurons. Simulations show that, after a weak training, the L2 word allows retrieval of the object properties but requires engagement of the first language. Conversely, after a prolonged training, the L2 word becomes able to retrieve object per se. In this case, a conflict between words can occur, requiring a higher-level decision mechanism. © 2010 M. Ursino et al.

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Estimation of Soil Moisture in an Alpine Catchment with RADARSAT2 Images

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Applied and Environmental Soil science 2011年第1期2011卷

作者： L. Pasolli C. Notarnicola L. Bruzzone G. Bertoldi S. Della Chiesa V. Hell G. Niedrist U. Tappeiner M. Zebisch F. Del Frate G. Vaglio Laurin Department of Information Engineering and Computer Science University of Trento Via Sommarive 14 38123 Trento Italyunitn.it EURAC-Institute for Applied Remote Sensing Viale Druso 1 39100 Bolzano Italyeurac.edu EURAC-Institute for Alpine Environment Viale Druso 1 39100 Bolzano Italyeurac.edu Institute of Ecology University of Innsbruck Sternwartestr. 15 6020 Innsbruck Austriauibk.ac.at Department of Computer Science Systems and Production Engineering Tor Vergata University Via del Politecnico 1 00133 Rome Italyuniroma2.it

Soil moisture retrieval is one of the most challenging problems in the context of biophysical parameter estimation from remotely sensed data. Typically, microwave signals are used thanks to their sensitivity to variations in the water content of soil. However, especially in the Alps, the presence of vegetation and the heterogeneity of topography may significantly affect the microwave signal, thus increasing the complexity of the retrieval. In this paper, the effectiveness of RADARSAT2 SAR images for the estimation of soil moisture in an alpine catchment is investigated. We first carry out a sensitivity analysis of the SAR signal to the moisture content of soil and other target properties (e.g., topography and vegetation). Then we propose a technique for estimating soil moisture based on the Support Vector Regression algorithm and the integration of ancillary data. Preliminary results are discussed both in terms of accuracy over point measurements and effectiveness in handling spatially distributed data.

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Workflow-driven tool integration using model transformations

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Lecture Notes in computer science

作者： Balogh, András Bergmann, Gábor Csertán, György Gönczy, László Horváth, Ákos Majzik, István Pataricza, András Polgár, Balázs Ráth, István Varró, Dániel Varró, Gergely Department of Measurement and Information Systems Budapest University of Technology and Economics Magyar tudósok krt. 2 H-1117 Budapest Hungary Department of Computer Science and Information Theory Budapest University of Technology and Economics Magyar tudósok krt. 2 H-1117 Budapest Hungary OptxWare Research and Development LLC Katona J. u. 39. H-1137 Hungary

ISBN: (纸本)3642173217

The design of safety-critical systems and business-critical services necessitates to coordinate between a large variety of tools used in different phases of the development process. As certification frequently prescribes to achieve justified compliance with regulations of authorities, integrated tool chain should strictly adhere to the development process itself. In order to manage complexity, we follow a model-driven approach where the development process is captured using a precise domain-specific modeling language. Each individual step within this process is represented transparently as a service. Moreover, to carry out individual tasks, systems engineers are guided by semi-automated transformation steps and well-formedness constraint checking. Both of them are formalized by graph patterns and graph transformation rules as provided by the Viatra2 framework. In our prototype implementation, we use the popular JBPM workflow engine as orchestration means between different design and verification tools. We also give some insights how this tool integration approach was applied in recent projects. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Modeling languages

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Reliable data aggregation and dissemination framework in tactical network architecture

Reliable data aggregation and dissemination framework in tac...

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MILCOM, Military Communications Conference

作者： S. Peng Andy M. Moen Dennis A. Spinks Joseph M. Meredith Lynn Tian He J. Lilja David Lockheed Martin Mission Systems and Sensors (MS2) Eagan MN Department of Computer Science and Engineering University of Minnesota Minneapolis MN Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN

Tactical communication systems are typically operated in disruptive networking environments. Such intermittent networking conditions present technical challenges in reliably delivering meaningful information to the appropriate destinations. This study proposes a reliable data aggregation and dissemination framework in the context of tactical networks. The framework takes a hybrid approach of combining disruption tolerant networking advantages and an adaptive sensor data aggregation method to ensure reliable data delivery. An experimental prototype system architecture was developed and implemented to demonstrate the capabilities of the proposed data aggregation and dissemination framework. A relevant demonstration scenario based on an example data aggregation map was developed for performing system evaluation. Test results demonstrated that the proposed framework accurately inferred meaningful messages from raw sensor data and reliably delivered messages to the appropriate destinations. The proposed framework can be a promising solution beneficial to current and future system-level design of tactical network architectures.

关键词： Wireless sensor networks Mobile communication Temperature sensors computer architecture Prototypes Sensor systems

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Improving the inter-corpora compatibility for protein annotations

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Journal of Bioinformatics and Computational Biology 2010年第5期8卷 901-916页

作者： Wang, Yue Kim, Jin-Dong Sætre, Rune Pyysalo, Sampo Ohta, Tomoko Tsujii, Jun'Ichi Department of Computer Science University of Tokyo Bunkyo-Ku Tokyo 113-0033 7-3-1 Hongo Japan Database Center for Life Science Research Organization of Information and Systems Bunkyo-Ku Tokyo 113-0032 2-11-16 Yayoi Japan School of Computer Science University of Manchester Kilburn Building Manchester M13 9PL Oxford Road United Kingdom National Center for Text Mining Manchester Interdisciplinary Biocentre Manchester M1 7DN 131 Princess Street United Kingdom

Although there are several corpora with protein annotation, incompatibility between the annotations in different corpora remains a problem that hinders the progress of automatic recognition of protein names in biomedical literature. Here, we report on our efforts to find a solution to the incompatibility issue, and to improve the compatibility between two representative protein-annotated corpora: the GENIA corpus and the GENETAG corpus. In a comparative study, we improve our insight into the two corpora, and a series of experimental results show that most of the incompatibility can be removed.

关键词： Corpus named entity recognition protein annotation

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An agent-based architecture for knowledge management in context-aware business processes

An agent-based architecture for knowledge management in cont...

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International Conference on computer Supported Cooperative Work in Design

作者： De C. Gatti, Leonardo A. Santoro, Flávia Maria Nunes, Vanessa T. NP2TEC - Research and Practice Group in Information Technology Department of Applied Informatics Federal University of the State of Rio de Janeiro UNIRIO Rio de Janeiro Brazil COPPE - Systems Engineering and Computer Science Program Federal University of Rio de Janeiro UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9781424467631

The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware architecture to support knowledge management in working processes. The required features for this architecture are processing, reasoning and sharing contextual knowledge involving information about activities performed. We also present results from evaluation of our proposal - A-CoBrA - for a specific domain. © 2010 IEEE.

关键词： Knowledge management

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RoboCup 2009: Robot Soccer World Cup XIII - Preface

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2010年 5949 LNAI卷

作者： Baltes, Jacky Lagoudakis, Michail G. Naruse, Tadashi Shiry, Saeed University of Manitoba Department of Computer Science Winnipeg MB R3T 2N2 Canada Technical University of Crete Intelligent Systems Laboratory Department of Electronic and Computer Engineering 73100 Chania Greece Aichi Prefectural University School of Information Science and Technology Nagakute-cho Aichi 480-1198 Japan Amirkabir University of Technology Computer Engineering and Information Technology Department Hafez Avenue Tehran 15914 Iran

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An associative memory system for incremental learning and temporal sequence

An associative memory system for incremental learning and te...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Shen, Furao Yu, Hui Kasai, Wataru Hasegawa, Osamu State Key Laboratory for Novel Software Technology Jiangyin Information Technology Research Institute Nanjing University Nanjing 210093 China Department of Computer Intelligence and Systems Science Tokyo Institute of Technology Yokohama 226-8503 Japan Imaging Science and Engineering Lab. Tokyo Institute of Technology R2-52 4259 Nagatsuda Midori-ku Yokohama 226-8503 Japan

ISBN: (纸本)9781424469178

An associative memory (AM) system is proposed to realize incremental learning and temporal sequence learning. The proposed system is constructed with three layer networks: The input layer inputs key vectors, response vectors, and the associative relation between vectors. The memory layer stores input vectors incrementally to corresponding classes. The associative layer builds associative relations between classes. The proposed method can incrementally learn key vectors and response vectors;store and recall both static information and temporal sequence information;and recall information from incomplete or noise-polluted inputs. Experiments using binary data, real-value data, and temporal sequences show that the proposed method works well. © 2010 IEEE.

关键词： Vectors

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