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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： David Menoti Dibio Leandro Borges Alceu de Souza Britto Jr Postgraduate Program in Applied Informatics (PPGIA) Pontifical Catholic University of Parana (PUCPR) Curitiba PR Brazil Pontifical Catholic University of Parana (PUCPR)

This paper presents a modification with further experiments of a segmentation algorithm based on feature selection in wavelet space of ours [9]. The aim is to automatically separate in postal envelopes the regions related to background, stamps, rubber stamps, and the address blocks. First, a typical image of a postal envelope is decomposed using Mallat algorithm and Haar basis. High frequency channel outputs are analyzed to locate salient points in order to separate the background. A statistical hypothesis test is taken to decide upon more consistent regions in order to clean out some noise left. The selected points are projected back to the original gray level image, where the evidence from the wavelet space is used to start a growing process to include the pixels more likely to belong to the regions of stamps, rubber stamps, and written area. We have modified the growing process controlled by the salient points and the results were greatly improved reaching success rate of over 97%. Experiments are run using original postal envelopes from the Brazilian Post Office Agency, and here we report results on 440 images with many different layouts and backgrounds.

关键词： Image segmentation Pixel Rubber Layout Wavelet transforms Computer vision Pattern recognition

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Contact phase invariant control for humanoid robot based on variable impedant inverted pendulum model

Contact phase invariant control for humanoid robot based on ...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： T. Sugihara Y. Nakamura Dept. of Mechano-Informatics Univ. of Tokyo Bunkyo-ku Tokyo Japan Japan Science and Technology Corporation(JST) CREST Program Japan

Being expected as the utilities in the future, humanoid robots should be given much higher mobility. A seamless transition between contact and aerial phase is essential to behave robustly against disturbance in the real environment, and to expand the range of their activities and perform a variety of motion. Manipulation of both the contact condition and the external force is the key issue to enhance the mobility of humanoids since they are driven by the external force converted from the inner force through the interaction with the environment. The difficulty lies on the complexity of their dynamics so that they consist of number of degrees of freedom and their structures vary in accordance with contact phase transition. We propose variable impedant inverted pendulum (VIIP) model control, which allows one to handle the external force rather easily. The advantage of the proposed is that it is invariant on contact phase so that both cases in contact and in aerial are treated in the unified way. It also reduces the amount of computation. Thus, quick responsive motion of the robot can be practically achieved. We verified the effect of the controller in computer simulation, using a small humanoid robot model.

关键词： Robot control Humanoid robots Impedance Motion control Robustness Computer simulation Legged locomotion Shape Humans Motion planning

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Humanoid Arm Motion Planning using Stereo Vision and RRT Search

Humanoid Arm Motion Planning using Stereo Vision and RRT Sea...

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2003 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Kagami, Satoshi Kuffner, James J. Nishiwaki, Koichi Okada, Kei Inaba, Masayuki Inoue, Hirochika Digital Human Lab. Natl. Inst. of Adv. Sci./Technology CREST Program Japan Sci./Technology Corporation School of Computer Science Carnegie Mellon University Dept. of Mechano-Informatics Sch. of Info. Science and Technology Univ. of Tokyo

This paper describes an experimental stereo vision based motion planning system for humanoid robots. The goal is to automatically generate arm trajectories that avoid obstacles in unknown environments from high-level task commands. Our system consists of three components: 1) environment sensing using stereo vision with disparity map generation and online consistency checking, 2) probabilistic mesh modeling in order to accumulate continuous vision input, and 3) motion planning for the robot arm using RRTs (Rapidly exploring Random Trees). We demonstrate results from experiments using an implementation designed for the humanoid robot H7.

关键词： Intelligent robots

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A spatial filtering approach to the classification of multispectral remote sensing data

A spatial filtering approach to the classification of multis...

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International Conference on Recent Advances in Space Technologies (RAST)

作者： H. Karakahya B. Yazgan Informatics Institute Advanced Technologies in Engineering Satellite Communication and Remote Sensing Program Istanbul Technical University Istanbul Turkey Faculty of Electrical and Electronic Engineering Electronics and Communication Department Istanbul Technical University Istanbul Turkey

Spatial information is an essential key to the classification of remote sensing images. In this paper, a filtering approach, which tries to exploit the spatial component of the remote sensing data, is described and it... 详细信息

关键词： Filtering Remote sensing Data mining Remote monitoring Spatial filters Testing Data engineering Pixel Image segmentation Classification algorithms

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A quantitative analysis of research publications in physical therapy journals - Author response

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PHYSICAL THERAPY 2003年第2期83卷 133-133页

作者： Miller, PA Haynes, RB PA Miller PT MHSc is Assistant Clinical Professor School of Rehabilitation Science McMaster University Hamilton Ontario Canada and Chief of Physiotherapy Practice Hamilton Health Sciences Hamilton Ontario Canada. When this article was written she was a graduate student in the Health Research Methodology Program at McMaster University. KA McKibbon BSc MLS is currently on leave from the Department of Clinical Epidemiology and Biostatistics McMaster University for PhD studies at the Centre for Biomedical Informatics University of Pittsburgh Pittsburgh Pa RB Haynes MD PhD is Professor of Clinical Epidemiology and Medicine McMaster University. He is Editor of ACP Journal Club

Background and *** physical therapists depend on their professional journals for high-quality evidence. The purpose of this study was to evaluate the rigor of research and review articles in 4 national physical therapy *** and *** articles in 6 consecutive issues of theAustralian Journal of Physiotherapy,Physical Therapy,Physiotherapy, andPhysiotherapy Canada, published between January 2000 and June 2001 (N=179), were reviewed. One trained reviewer identified the type and purpose of each article and assessed the rigor of treatment and review articles according to explicit *** majority of articles reviewed were original studies (56%). The majority of the research articles that dealt with human health care (66%) addressed topics that were not directly applicable to the provision of patient care such as measurement topics and studies on subjects without identified pathologies or impairments. Of the 179 journal articles, 19 met the standards for rigor (11%). The majority of these articles dealt with treatment. The pass rate per journal was as follows:Australian Journal of Physiotherapy, 10% (4/42);Physical Therapy, 15% (7/47);Physiotherapy, 12% (4/34); andPhysiotherapy Canada, 7% (4/56).*** such a small percentage of articles in these professional journals were identified as having direct application to patient care, physical therapists should attempt to access other sources of information to find additional high-quality evidence. A larger sample with a greater number of issues per journal may have yielded different results and indicated different trends, and further research appears to be warranted.

关键词： Clinical research Evidence-based practice Publications and audiovisual materials

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Humanoid arm motion planning using stereo vision and RRT search

Humanoid arm motion planning using stereo vision and RRT sea...

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IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： S. Kagami J. Kuffner K. Nishiwaki K. Okada M. Inaba H. Inoue CREST Program Japan Science and Technology Agency Japan Digital Human Laboratory National Institute for Advanced Industrial Science and Technology Japan School of Computer Science Carnegie Mellon University USA Department of Mechano-Informatics School of Information Science and Technology University of Tokyo Japan

This paper describes an experimental stereo vision based motion planning system for humanoid robots. The goal is to automatically generate arm trajectories that avoid obstacles in unknown environments from high-level task commands. Our system consists of three components: 1) environment sensing using stereo vision with disparity map generation and on-line consistency checking, 2) probabilistic mesh modeling in order to accumulate continuous vision input, and 3) motion planning for the robot arm using RRTs (rapidly exploring random trees). We demonstrate results from experiments using an implementation designed for the humanoid robot H7.

关键词： Stereo vision Humanoid robots Motion planning Humans Technology planning Robot sensing systems Orbital robotics Kinematics Computer science Information science

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Computer-based analysis of heart rate variability signal for detection of sleep disordered breathing in children

Computer-based analysis of heart rate variability signal for...

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

作者： H. Nazaren Y. Pamula A. Gradziel K. Ung S. Vijendra K. Behbehani Dept. of Electr. & Comput. Eng. Texas Univ. El Paso TX USA Department of Pulmonary Medicine Women's and Children's Hospital Adelaide Australia School of Informatics and Engineering Flinders University Adelaide Australia Biomedical Engineering Program University of Texas at Arlington USA

A computer-based analysis system was developed to display and analyze heart rate variability (HRV). ECG, oxygen saturation and respiratory signals (airflow, abdominal and thoracic movements), were used as raw data. The heart rate variability signal was derived from ECG by applying a Hilbert transform-based algorithm for reliable QRS complex detection. Following the guidelines suggested by the Task Force of the European Society of Cardiology and the North American Society for Pacing and Electrophysiology, appropriate time-domain and frequency-domain methods were used for HRV signal analysis. Autoregressive modeling of the HRV power spectrum was achieved by implementing the Burg algorithm. Three main spectral features were clearly distinguished in the heart rate variability signal spectrum from polysomnographic recordings of different sleep stages and were correlated with respiratory parameters. The integrated graphical user interface was developed using LabView and the signal processing algorithms were implemented using Matlab application programs. In this paper we present an overview of the system and analyze pilot data for two children undergoing nocturnal polysomnography. The pilot data demonstrated that the HRV analysis system may potentially distinguish between periods of normal and sleep disordered breathing (SDB) in children.

关键词： Signal analysis Heart rate variability Signal detection Heart rate detection Sleep Signal processing algorithms Computer displays Electrocardiography Abdomen Power system reliability

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Comparison of linear and nonlinear prediction methods for babies' birth weight

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Annals of Epidemiology 2003年第8期13卷 592-592页

作者： N. Bekiroğlu A. Alkan Department of Biostatistics Marmara University Medical School İstanbul Turkey Computational Science and Engineering Program Informatics Institute Istanbul Technical University Istanbul Turkey

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In reply

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Annals of Emergency Medicine 2003年第5期42卷 713-713页

作者： Debra L. Weiner Atul J. Butte Patricia L. Hibberd Gary R. Fleisher Division of Emergency Medicine Children's Hospital Boston Harvard Medical School Boston MA USA Children's Hospital Informatics Program Division of Endocrinology Children's Hospital Boston Harvard Medical School Boston MA USA Clinical Research Institute Tufts-New England Medical Center USA

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Performance analysis of parallel programs using prober as a single aid tool 14

Performance analysis of parallel programs using prober as a ...

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14th Symposium on Computer Architecture and High Performance Computing

作者： Góes, LFW Ramos, LES Martins, CAPS Informatics Institute Post-Graduation Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Brazil

ISBN: (纸本)0769517722

Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from different software tools are aggregated. It can be used as a single tool to aid the developer in the performance analysis of parallel programs. Our main goal is to provide a new version of Prober, with additional features. Among them we can highlight: the interpretation of user scripts, a user-level support library the generation of speedup and efficiency graphics, batch execution and a new user interface. In order to show, verify and analyze the use of the new version of Prober, we did performance tests in a parallel image convolution program. We added performance measuring routines to collect performance data within different internal code segments;built a set of scripts to specify the performance tests;ran the set of scripts in batch mode;used Prober to generate graphics and statistics based on the collected performance data;and analyzed the results rising Prober as an aid tool.

关键词： Convolution Graphics Image analysis Image segmentation Performance analysis Radio access networks Software libraries Software tools Testing User interfaces

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