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22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22

作者： Lintean, Mihal Rus, Vasile Department of Computer Science University of Memphis Institute for Intelligent Systems Memphis TN 38152 United States

ISBN: (纸本)9781577354192

In this paper we propose a novel approach to the task of paraphrase identification. The proposed approach quantifies both the similarity and dissimilarity between two sentences. The similarity and dissimilarity is assessed based on lexicosemantic information, i.e., word semantics, and syntactic information in the form of dependencies, which are explicit syntactic relations between words in a sentence. Word semantics requires mapping words onto concepts in a taxonomy and then using word-to-word similarity metrics to compute their semantic relatedness. Dependencies are obtained using state-of-the-art dependency parsers. One important aspect of our approach is the weighting of missing dependencies, i.e., syntactic relations present in one sentence but not the other. We report experimental results on the Microsoft Paraphrase Corpus, a standard data set for evaluating approaches to paraphrase identification. The experiments showed that the proposed approach offers state-of-the-art results. In particular, our approach offers better precision when compared to other state-of-the-art systems. Copyright © 2009, Assocation for the Advancement of ArtdicaI Intelligence (***). All rights reserved.

关键词： Syntactics

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Making a Clever intelligent Agent:The Theory behind the Implementation

Making a Clever Intelligent Agent:The Theory behind the Impl...

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2009 IEEE International Conference on intelligent Computing and intelligent systems(ICIS2009)

作者： Roxanne Raine Department of Mathematics Engineering and Computer Science University of TwenteThe Netherlands Institute for Intelligent Systems University of Memphis TennesseeUnited States

ISBN: (纸本)9781424447541

The study of how humans establish mutual understanding is intertwined with the design of artificial conversation systems [1,2,3,4,5].The focus of this paper is perspective-taking in and artificial imitation of *** of whether an engineer takes psychological theory into consideration when building an agent,an underlying philosophy of perspective-taking is evident when observing the agent’s ***,theories of perspective-taking offer designers an advantage in two ways:1) These agents could better imitate human behavior.2) These agents could use common tendencies in human behavior as an advantage in communicating with humans.

关键词： discourse dialogue human speech understanding joint costs speech dialogue systems perspective-taking in communication cognitive load in communication

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Nonlinear trajectory tracking control of a quadrotor vehicle 10

Nonlinear trajectory tracking control of a quadrotor vehicle

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2009 10th European Control Conference, ECC 2009

作者： Cunha, Rita Cabecinhas, David Silvestre, Carlos Department of Electrical Engineering and Computer Science Institute for Systems and Robotics Instituto Superior Técnico Lisboa1046-001 Portugal

ISBN: (纸本)9783952417393

This paper addresses the problem of steering a quadrotor vehicle along a time-dependent trajectory. The problem is formulated so as to take into account force disturbances acting on the vehicle and enforce bounds on the actuation. The proposed solution consists of a nonlinear adaptive state feedback controller for thrust and torque actuation that i) guarantees asymptotic stability of the closed-loop system in the presence of constant force disturbances and ii) ensures that the actuation does not grow unbounded as a function of the position errors. Simulation results are presented to assess the performance and robustness of the proposed controller. © 2009 EUCA.

关键词： Asymptotic stability

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A two-stage neural network classifier for condition-based maintenance in wireless sensor networks

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International Journal of COMADEM 2010年第2期13卷 17-26页

作者： Ramani, A. McMurrough, C. Middleton, M. Ballal, P. Athamneh, A. Lee, W. Kwan, C. Lewis, F. Automation and Robotics Research Institute University of Texas at Arlington 7300 Jack Newell Blvd. S Fort Worth TX 76118-7115 United States Energy Systems Research Center University of Texas at Arlington 416 S. College St Arlington TX 76019-0048 United States Signal Processing Inc. 13619 Valley Oak Circle Rockville MD 20850-3572 United States Computer Science Engineering University of Texas at Arlington United States Electrical Engineering Department United States

Motor failures in aerospace applications can lead to serious compromises in safety, overall effectiveness, and maintenance costs. In mission critical applications, it is important that motor fault signatures are identified before a failure occurs. It is known that 40% of mechanical failures occur due to bearing faults. Bearing faults can be identified from the motor vibration signatures. Three key contributions are outlined in this paper. First, we develop a low cost test bed for simulating bearing faults in a motor. Second, we develop a wireless sensor module for collection of vibration data from the test bed. Finally, we use a novel two stage neural network to classify various bearing faults using the Generalized Hebbian Algorithm (GHA) in the first stage and a supervised learning vector quantization network (SLVQ) with a self organizing map approach for fault classification in the second stage. © 2010 COMADEM International.

关键词： Wireless sensor networks

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An intelligent assistant for power plants based on factored MDPs

An intelligent assistant for power plants based on factored ...

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2009 15th International Conference on intelligent System Applications to Power systems, ISAP '09

作者： Reyes, Alberto Spaan, Matthijs T. J. Sucar, L. Enrique Instrumentation and Control Department Instituto de Investigaciones Eléctricas Cuernavaca Mexico Institute for Systems and Robotics Lisbon Portugal Computer Science Department INAOE Puebla Mexico

ISBN: (纸本)9781424450985

Making good operation decisions during abnormal power plant conditions represents in many cases the possibility to avoid a unit trip or having economical losses. This paper introduces AsistO, an intelligent assistant for the decision support based on decision theoretic planning techniques. It provides power plant operators with useful recommendations to (i) maintain a plant running under safe conditions, or (ii) deal with process transients when an unexpected event occurs. We present the formalism of Markov decision processes as the core of the intelligent assistant which uses a factored representation of plant states. We also show a very intutive algorithm to approximate decision models based on training data collected through random exploration routines in a simulated environment. We have tested our system in the steam generation system of a combined power plant to deal with load disturbances. © 2009 IEEE.

关键词： Markov processes

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Evaluating an intelligent tutoring system for making legal arguments with hypotheticals

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International Journal of Artificial Intelligence in Education 2009年第4期19卷 401-424页

作者： Pinkwart, Niels Ashley, Kevin Lynch, Collin Aleven, Vincent Department of Informatics Clausthal University of Technology Clausthal-Zellerfeld Germany Learning Research and Development Center School of Law and Intelligent Systems Program University of Pittsburgh Pittsburgh PA United States Learning Research and Development Center Intelligent Systems Program University of Pittsburgh Pittsburgh PA United States Human-Computer Interaction Institute School of Computer Science Carnegie Mellon University Pittsburgh PA United States

Argumentation is a process that occurs often in ill-defined domains and that helps deal with the illdefinedness. Typically a notion of "correctness" for an argument in an ill-defined domain is impossible to define or verify formally because the underlying concepts are open-textured and the quality of the argument may be subject to discussion or even expert disagreement. Previous research has highlighted the advantages of graphical representations for learning argumentation skills. A number of intelligent tutoring systems have been built that support students in rendering arguments graphically, as they learn argumentation skills. The relative instructional benefits of graphical argument representations have not been reliably shown, however. In this paper we present a formative evaluation of LARGO (Legal ARgument Graph Observer), a system that enables law students graphically to represent examples of legal interpretation with hypotheticals they observe while reading texts of U.S. Supreme Court oral arguments. We hypothesized that, compared to a text-based alternative, LARGO's diagramming language geared toward depicting hypothetical reasoning processes, coupled with non-directive feedback, helps students better extract the important information from argument transcripts and better learn argumentation skills. A first pilot study, conducted with volunteer first-semester law students, provided support for the hypothesis. The system especially helped lower-aptitude students learn argumentation skills, and LARGO improved the reading skills of students as they studied expert arguments. A second study with LARGO was conducted as a mandatory part of a first-semester University law course. Although there were no differences in the learning outcomes of the two conditions, the second study showed some evidence that those students who engaged more with the argument diagrams through the advice did better than the text condition. One lesson learned from these two studies is that gr

关键词： Students

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Capturability of a simple guidance law with angular acceleration input 10

Capturability of a simple guidance law with angular accelera...

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2009 10th European Control Conference, ECC 2009

作者： Urakubo, Takateru Kanade, Takeo Department of Computer Science and Systems Engineering Kobe University Nada-ku Kobe657-8501 Japan Robotics Institute Carnegie Mellon University PittsburghPA15213 United States

ISBN: (纸本)9783952417393

This paper examines the capturability of a guidance law that provides a desired angular acceleration of the heading angle to a pursuer. The guidance law has originally been proposed by Fajen and Warren[13], in order to explain the behavior of walking humans. It is shown that the relative rotational motion between a pursuer and an evader can be represented by an equation similar to the equation of motion for a pendulum with a disturbance. A set of sufficient conditions for successful pursuit are derived, and it is proved that the gain parameters of the guidance law can be chosen so that the conditions are satisfied. For sufficiently large gains, a pursuer controlled by the guidance law catches a maneuvering evader while achieving motion camouflage. © 2009 EUCA.

关键词： Equations of motion

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Face recognition using a hybrid model

Face recognition using a hybrid model

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38th Applied Imagery Pattern Recognition Workshop: Vision: Humans, Animals, and Machines, AIPRW 2009

作者： Wang, Yuheng Anderson, Peter G. Gaborski, Roger S. Golisano College of Computing and Information Sciences Rochester Institute of Technology Rochester NY 14623 United States Computer Science Department Rochester Institute of Technology Rochester NY 14623 United States Computer Science Department Laboratory of Intelligent Systems Rochester Institute of Technology Rochester NY 14623 United States

ISBN: (纸本)9781424451463

This paper introduces a hybrid face recognition model that combines biologically inspired features and Local Binary Features. The structure of the model is mainly based on the human visual ventral pathway. Previously, object-centered models focus on extracting global view-invariant representation of faces (I. Biederman, 1987) while feed-forward view-based models (HMAX model by Riesenhuber and Poggio, 1999) extract local features of faces by simulating responses of neurons in the human visual system. In this paper we first review the current main face recognition algorithms: Local Binary Pattern model and RandP model. This is followed by a detailed description of their implementation and advantages in overcoming intra-class variance. Results from our model are compared to the original Riesenhuber and Poggio model and Local Binary Pattern model (T. Ahonen et al, 2005). Then the paper will focus on our hybrid biological model which takes advantages of both structural information and biological features. Our model shows improved recognition rates and increased tolerance to intra-personal view differences.

关键词： Local binary pattern

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A Lie group based Gaussian mixture model distance measure for multimedia comparison 09

A Lie group based Gaussian mixture model distance measure fo...

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1st International Conference on Internet Multimedia Computing and Service, ICIMCS 2009

作者： Gong, Liyu Wang, Tianjiang Yu, Yan Liu, Fang Hu, Xiangen Intelligent and Distributed Computing Lab. School of Computer Science and Technology Huazhong University of Science and Technology Wuhan Hubei 430074 China Department of Information and Computing Science School of Science Wuhan University of Science and Technology Wuhan Hubei 430065 China Department of Psychology Institute for Intelligent Systems University of Memphis Memphis TN 38152 United States

ISBN: (纸本)9781605588407

In this paper, we propose a novel method to measure the distance between two Gaussian Mixture Models. The proposed distance measure is based on the minimum cost that must paid to transform from one Gaussian Mixture Model into the other. We parameterize the components of a Gaussian Mixture Model which are Gaussian probability density functions (pdf) as positive definite lower triangular transformation matrices. Then we identify that Gaussian pdfs form a Lie group. Based on Lie group theory, the geodesic length can be used to measure the minimum cost that must paid to transform from one Gaussian pdf into the other. Combining geodesic length with the earth mover's distance, we propose the Lie group earth mover's distance for Gaussian Mixture Models. We test our distance measure in image retrieval. The experimental results indicate that our distance measure is more effective than other measures including the Kullback-Liebler divergence. Copyright 2009 ACM.

关键词： Probability density function

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Noise reduction of acoustic data of bill under noisy environment using adaptive digital filter and neural network

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, Information and systems 2009年第9期129卷 1724-1729+13页

作者： Taiki, Motooki Sigeru, Omatu Michifumi, Yoshioka Masaru, Teranishi Department of Computer Science and Intelligent Systems Graduate School of Engineering Osaka Prefecture University 1-1 Gakuen-cho Naka-ku Sakai-shi Osaka 599-8531 Japan Department of Information and Systems and Management Hiroshima Institute of Technology 2-1-1 Miyake Saeki-ku Hiroshima-shi Hiroshima 731-5193 Japan

Recently, failure detection by acoustic data is applied to quality check such as new or used bill classification. However, it is difficult to reduce the noise in acoustic data of bill by conventional techniques since there are many types of noises in the environment. In this paper, we propose a method by using an adaptive digital filter and a neural network to reduce noises in acoustic data of bill. First, the acoustic data is divided into some frequency bands by the wavelet transform. Next, each data is passed through two types of filters to reduce the noise. One is an adaptive digital filter trained by the LMS algorithm, and the other is a nonlinear filter based on a neural network trained by the error back-propagation method. Then the processed data in each frequency band are composed to get an estimated signal. Finally, simulation results are illustrated to show the effectiveness of the proposed method compared with conventional approaches. © 2009 The institute of Electrical Engineers of Japan.

关键词： Wavelet transforms

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