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Complex emotion categorization and tagging for Chinese

Complex emotion categorization and tagging for Chinese

引用

IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE)

作者： Peilin Jiang Fuji Ren Fei Wang Nanning Zheng Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'an China Graduate School of Advanced Technology and Science University of Tokushima Tokushima Japan Department of Information Science & Intelligent Systems University of Tokushima Tokushima Japan

To understand emotion and make machine emotion is one of the goals of affective computing. In order to understand language from interface of machine, both the meaning and the emotion are necessary to be interpreted correctly. But until now the study of fine-grained theory of emotion is still full of challenges. In this paper, a novel method to analyze emotion category is proposed according to the statistics of affective word hierarchy in Dictionary of contemporary Chinese. The emotion hierarchy is called complex emotion. Firstly, over 7,000 common affective words have be annotated and their detailed explanations had been collected for an affective lexicon, then we analyze the consistent relationship in the affective lexicon and consequently 52 salient complex emotion state hierarchies are categorized and tagged by a lexical affective clustering algorithm. The complex emotions are compared to the traditional definitions of basic emotions in psychology and have been evaluated to be valid by kappa value in the experiment. Moreover we also have tagged the semantic orientation for the collected words.

关键词： Psychology Dictionaries Educational institutions Semantics Clustering algorithms Tagging Presses

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INS/EKF-based stride length, height and direction intent detection for walking assistance robots

INS/EKF-based stride length, height and direction intent det...

引用

IEEE International Conference on Rehabilitation robotics (ICORR)

作者： Dario Brescianini Jun-Young Jung In-Hun Jang Hyun Sub Park Robert Riener Department of Mechanical and Process Engineering ETH Zurich Zurich Switzerland Department of Intelligent Robotics University of Science and Technology Daejeon South Korea Division of Applied Robot Technology Korea Institute of Industrial and Technology Ansan South Korea Spinal Cord Injury Center University Hospital Balgrist Zurich Switzerland Sensory-Motor Systems Laboratory Institute of Robotics and Intelligent Systems ETH Zurich Zurich Switzerland

We propose an algorithm used to obtain the information on stride length, height difference, and direction based on user's intent during walking. For exoskeleton robots used to assist paraplegic patients' walking, this information is used to generate gait patterns by themselves in on-line. To obtain this information, we attach an inertial measurement unit(IMU) on crutches and apply an extended kalman filter-based error correction method to reduce the phenomena of drift due to bias of the IMU. The proposed method is verifed in real walking scenarios including walking, climbing up-stairs, and changing direction of walking with normal.

关键词： Legged locomotion Trajectory Exoskeletons Navigation Measurement uncertainty Robot sensing systems

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Estimating the minimum number of robots to finish given multi-objects task

Estimating the minimum number of robots to finish given mult...

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IEEE Conference on Cybernetics and intelligent systems

作者： Ji Guo Bo Gao Rongxin Cui Shuzhi Sam Ge College of Marine Engineering Northwestern Polytechnical University Xian China College of Physics and Electrical Engineering Anyang Normal University China Robotics Institute and Institute of Intelligent Systems and Information Technology and School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

In this paper, we propose a method that could solve the problem of estimating the minimum number of robots to finish the given multi-objects task. The criterion of estimating the robots includes the time consumption of motion on the trajectory and the work on the multi-objects. Our proposed method builds the roadmap to compute the cost of motion between objects and then builds the network with the motion and work cost. To satisfy the specified efficiency, the optimization algorithm of network is used to compute the minimum number of robots which can finish the task. An implementation example is presented and possible further research directions are presented as well.

关键词： Robot kinematics Conferences Trajectory Bipartite graph Educational institutions Routing

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An accurate 3D feature tracking system with wide-baseline stereo smart cameras

An accurate 3D feature tracking system with wide-baseline st...

引用

ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC

作者： Dominik Rueß Kristian Manthey Ralf Reulke German AeroSpace Center Optical Information Systems Institute of Robotics and Mechatronics Berlin Germany Department of Computer Science Research and Lecture Group Computer Vision Humboldt-Universität zu Berlin Berlin Germany

A typical video surveillance system consists of at least one camera, controlled by an operator. To decrease the human error rate and to generally lessen the burden of operators, many object tracking systems have been implemented, most of which work in 2D image space. If used centralized, this is a very expensive task. Furthermore, if several views are to be fused, large inaccuracies arise due to ground plane assumptions, for instance. Lastly, in outdoor setups, quite often there is a need for slower channels like Wireless LAN which cannot cope with the full resolution data stream. We provide a smart camera system which performs the intensive tasks like background estimation or feature extraction. A central unit only has to process the received data in feature space, increasing scalability. Additionally, the object tracking problem is converted to an accurate 3D feature tracking, avoiding difficulties such as proper object segmentation and adding increased trajectory accuracy. The feature regions are computed within the smart camera. A wide-baseline feature matching approach has been employed to allow more freedom in the placement of the single smart cameras.

关键词： Trajectory Three dimensional displays Cameras Smart cameras Estimation Image reconstruction Feature extraction

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A CG Learning Tool with Guided Programming Environment

A CG Learning Tool with Guided Programming Environment

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International Conference on Network-Based Information systems (NBIS)

作者： Hiroaki Nishino Shogo Sueyasu Tsuneo Kagawa Kouichi Utsumiya Department of Computer Science and Intelligent Systems Oita University Oita Japan Fujitsu Kyushu Network Technologies Limited Fukuoka Japan Institute for Hypernetwork Society Oita Japan

3 dimensional computer graphics (3DCG) becomes an easily accessible technology for general public. The 3DCG production skill is becoming one of mandatory technical capabilities for IT engineers. The learning aids such as text books and related web pages consist of captured 2D images for understanding 3DCG theories and program codes for explaining specific algorithms. The learners should work with multiple materials and tools including the books, some tools for learning 3D modeling, rendering, and animation, and a development tool for acquiring graphics programming skill. These efforts require enormous amount of time and impose a heavy burden on the learners. To solve the problem, we have been developing a self-contained 3DCG learning support system. It helps the learners to intuitively acquire the 3DCG production skills through a hands-on graphics programming environment.

关键词： Programming Three dimensional displays Rendering (computer graphics) Java Libraries Visualization

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Development of Medical Imaging Diagnosis Support System with Sound Effects

Development of Medical Imaging Diagnosis Support System with...

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International Conference on intelligent Networking and Collaborative systems (INCOS)

作者： Tsuneo Kagawa Hideki Kudo Shuichi Tanoue Hiro Kiyosue Hiromu Mori Hiroaki Nishino Kouichi Utsumiya Department of Computer Science and Intelligent Systems Oita University Oita Japan Department of Radiology Faculty of Medicine Oita University Oita Japan Institute for Hyper Network Society Oita Japan

Recently, computer Aided Diagnosis (CAD) has become one of the most important for medical activity. The more exact and various CAD become, the larger amount of medical images are provided. Furthermore, these images becomes high definition. Radiologists have to cost their time and efforts to investigate these medical images. It is strongly required to reduce their burden without debasing the quality of imaging diagnosis. In this paper, we propose the technique to generate sound information based on the image features and discuss their effects for diagnosis. Generating sound effects helps for attention rousing and the fatigue reduction for medical imaging diagnosis.

关键词： Medical diagnostic imaging Feature extraction User interfaces Design automation Blood vessels

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What is Green Security?

What is Green Security?

引用

International Symposium on Information Assurance and Security (IAS)

作者： Luca Caviglione Alessio Merlo Mauro Migliardi Institute of Intelligent Systems for Automation Italian National Council of Research Genoa Italy Department of Computer Communication and Systems Science (DIST) University of Genova Novedrate Italy Department of Information Engineering (DEI) University of Padova Padova Italy

Green Security is a new research field defining and investigating security solutions under an energy-aware perspective. Green Security aims at: (1) evaluating the actual security mechanisms in order to assess their energy consumption; (2) building new security mechanisms by considering energy costs from the design phase. In this paper, we first provide a definition of Green Security and formalism to model it, then we provide a use case showing how it is possible to model the energy consumption of two Intrusion Detection System (IDS) strategies, finally we leverage this model to assess the energy leakage due to the late discovery of bad packets.

关键词： Security Energy consumption Green products Routing Power demand Analytical models Computational modeling

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Beta-eigenspaces for autonomous mobile robotic trajectory outlier detection

Beta-eigenspaces for autonomous mobile robotic trajectory ou...

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IEEE International Conference on Technologies for Practical Robot Applications (TePRA)

作者： Shyba Zaheer Tauseef Gulrez Department of Electrical Engineering College of Engineering and Applied Sciences Al Ghurair University Dubai Academic City UAE Department of Computer Science Center of Intelligent Machines & Robotics Research COMSATS Institute of Information Technology Lahore Pakistan

This paper addresses the problem of robotics trajectory building for efficient navigation and consequently exploration. A concept of beta-eigenvector has been introduced to find an outlier for the existing non-point based trajectory obtained from raw laser data. We have used our paradigm of “free configuration eigenspaces” method, with specific focus on outlier detection. The key idea proposed in this paper is to replace the Gaussian distribution utilized by the probabilistic principal component analysis (PPCA) with the beta-distribution. It is a well known issue that the conventional PCA is sensitive to anomalous observations because the calculation of sample mean and covariance matrix can be significantly influenced by a small number of outliers. Similarly, PPCA is not robust to outliers since the data are assumed to follow a multivariate Gaussian distribution that is easily affected by deviant observations. An outlier detection is done using Beta-Probabilistic Principal Component Analysis (BPPCA), further more an analysis is proposed to identify which variables contribute the most to the occurrence of outliers. The proposed technique is applied on real-time robotics sensor data as well as on the real-time robotics simulation environment.

关键词： Trajectory Principal component analysis Robot sensing systems Lasers Mobile communication Mobile robots

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Reports of the AAAI 2010 spring symposia

Reports of the AAAI 2010 spring symposia

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作者： Barkowsky, Thomas Bertel, Sven Broz, Frank Chaudhri, Vinay K. Eagle, Nathan Genesereth, Michael Halpin, Harry Hamner, Emily Hoffmann, Gabe Hölscher, Christoph Horvitz, Eric Lauwers, Tom McGuinness, Deborah L. Michalowski, Marek Mower, Emily Shipley, Thomas F. Stubbs, Kristen Vogl, Roland Williams, Mary-Anne Cognitive Systems Group University of Bremen Research Center SFB/TR 8 Spatial Cognition Germany Human Factors Division Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign IL United States Adaptive Systems Research Group Computer Science Department University of Hertfordshire United Kingdom Artificial Intelligence Center at SRI International United States Txteagle Inc. MIT Media Laboratory United States Computer Science Department Stanford University United States University of Edinburgh United Kingdom Robotics Institute Carnegie Mellon University United States Palo Alto Research Center United States Center for Cognitive Science University of Freiburg Germany CREATE lab Carnegie Mellon Robotics Institute United States Rensselaer Polytechnic Institute United States University of Southern California United States Department of Psychology Temple University Spatial Intelligence and Learning Center United States IRobot Corporation United States Stanford Program in Law Science and Technology Stanford University Law School United States Innovation and Enterprise Research Laboratory University of Technology Sydney Australia

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's department of computer science, presented the 2010 Spring Symposium Series Monday through Wednesday, March 22-24, 2010, at Stanford University. The titles of the seven symposia were Artificial Intelligence for Development;Cognitive Shape Processing;Educational robotics and Beyond: Design and Evaluation;Embedded Reasoning: Intelligence in Embedded systems;intelligent Information Privacy Management;It's All in the Timing: Representing and Reasoning about Time in Interactive Behavior;and Linked Data Meets Artificial Intelligence. Copyright © 2010.

关键词： Embedded systems

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Computational image analysis for determination of the oil palm fruit maturity

Computational image analysis for determination of the oil pa...

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IASTED International Conference on Computational Photography, CPhoto 2011

作者： Razali, Mohammad Hudzari Ismail, Wan Ishak Wan Harun, Mohammad Haniff B. Ramli, Abdul Rahman Sulaiman, Muhammad Nasir Intelligent System and Robotics Laboratory Institute of Advanced Technology 43400 Universiti Putra Malaysia Serdang Selangor Malaysia Department of Biological and Agriculture Engineering Faculty of Engineering 43400 Universiti Putra Malaysia Serdang Selangor Malaysia Department of Computer Science and Information Technology Faculty of Science Computer and Information Technology 43400 Universiti Putra Malaysia Serdang Selangor Malaysia Biological Research Division Malaysian Palm Oil Board No. 6 Persiaran Institusi Bandar Baru Bangi 43000 Kajang Selangor Malaysia Department of Agriculture Universiti Sultan Zainal Abidin Kampus Kota Kuala Terengganu 20400 Terengganu Malaysia

ISBN: (纸本)9780889868748

The experiment was conducted to determine the Hue optical properties of the three categories of Fresh Fruit Bunches (FFB) namely unripe, underripe and ripe. The Nikon Coolpix 4500 digital camera with tele-converter zooming and the Keyence machine vision were used to capture the FFB images with two different settings of natural environment and direct sunlight. The species of oil palm tree used for the experiments were Elaeis Oleifera and Elaeis Guineensis Jacq. The images from the Nikon digital camera were analysed for optical properties of Red, Green, Blue (RGB) and then convert to Hue value using developed graphical user interface (GUI). The Hue values will then be compared to the value obtained from Keyence machine vision. The images of oil palm FFB in plantation were captured with setting cameras parameter namely shutterspeed which set to 0.125 seconds, image sensor's sensitivity (ISO) was set to Normal and white balance were calibrated using the standard white calibration CR-A74. The lighting intensity under oil palm canopy was simultaneously recorded and monitored using Extech Light Meter Datalogger. Using Analysis of Variance (ANOVA), the ratio of test statistic of F with F critical for experiments under natural environment of oil palm plantation indicated the best differences of the hue optical properties among different maturity level of unripe, ripe and overripe FFB. Using the SAS programming for statistical analysis, the Hue and Red color values were found had significant effect to distinguish the maturity level (fm) of FFB with Pr > F are showed less than 0.01. The Green and Blue color values were not significant effect to differentiate the FFB maturity level which indicated the value of Pr > F showed 0.0243 and 0.9938 respectively. The Hue and Blue color values were not interaction with different lighting condition and the maturity level which indicated Pr > F for ml*fm showed 0.0668 and 0.1667 respectively. From the ANOVA analysis, the Hue is the best c

关键词： computer vision

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