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检索条件"任意字段=IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, RISSP 2003"

共 557 条记录，以下是491-500 订阅

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Detection of 3D symmetry axis from fragments of a broken pottery bowl

Detection of 3D symmetry axis from fragments of a broken pot...

引用

international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： F. Yao G. Shao Shimane University Matsue Japan Seinan Gakuin University Fukuoka Japan

This paper relates a method to detect three-dimensional (3D) symmetry axis from the fragment of a broken pottery bowl, which is symmetric in the original status (that is, before broken). Firstly, the fragment is extracted from the range image by applying a bias processing, and its contour is detected. Next, the corner points of the 3D fragment are extracted from its contour. Then, the contour of the 3D fragment is separated into 3D curve segments at the corner points, and the partial mouth-edge is determined by reasoning its center coordinates. Finally, by shrinking the range image, a series of partial curves which are in parallel with the partial mouth-edge, is obtained. The symmetry axis is thought as a line passing through the center points of these partial curves, in 3D space. We tested this method by using the real-world range data. The experiment results are satisfactory.

关键词： Shape Image segmentation Pattern recognition Testing Pattern analysis Humans intelligent systems Computer vision Decision making Object detection

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Hardware implementation of neural network on FPGA for accidents diagnosis of the multi-purpose research reactor of Egypt

Hardware implementation of neural network on FPGA for accide...

引用

international conference on Microelectronics, ICM

作者： M.M. Syiam H.M. Klash I.I. Mahmoud S.S. Haggag

Artificial Neural Networks are applied for solving a wide variety of problems in several areas such as signal processing, robotics, diagnosis, and pattern recognition. These applications demand a high computing power and the traditional software implementation are not sufficient. Hardware implementation of neural networks is very interesting due to its high performance and can easily be made parallel. This paper presents a hardware implementation of neural network after training and simulation on the MATLAB software. The excellent hardware performance has been performed through the use of field programmable gate array (FPGA). The diagnosis of the Multi-Purpose Research Reactor of Egypt accidents is used to test the proposed system.

关键词： Neural network hardware Neural networks Field programmable gate arrays Accidents Inductors Artificial neural networks signal processing Robots Pattern recognition Application software

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Cooperative diversity through virtual arrays in multihop networks

Cooperative diversity through virtual arrays in multihop net...

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international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： S. Barbarossa G. Scutari INFOCOM Dpt University of Roma La Sapienza Rome Italy

We propose a multihop cellular network architecture which takes advantage of cooperation among users to induce a diversity gain. First, mobile terminals (MT), willing to cooperate, share their data during a time slot reserved to MT-to-MT links, and then, in a successive time slot, they send their data to the base station (BS) through a virtual array of antennas, constituted by the antennas of the cooperating users. We derive the coding strategy, for such a virtual array, that maximizes the sum of the rates from the MTs to the BS, under the constraint of a given total available power. We assume at the beginning that the channels from the MT to the BS are perfectly known. This allows us to derive, for each MT, a closed form expression for the optimal power allocation, as a function of frequency. Then, we remove this assumption and we use a first order perturbation analysis to compute the loss resulting from imperfect channel knowledge.

关键词： intelligent networks Spread spectrum communication Land mobile radio cellular systems Diversity methods Base stations Mobile antennas Slot antennas Relays Electronic mail Antenna arrays

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A reinforcement learning approach involving a shortest path finding algorithm

A reinforcement learning approach involving a shortest path ...

引用

ieee international Workshop on intelligent Robots and systems (IROS)

作者： Woo Young Kwon Sanghoon Lee Il Hong Suh The Graduate School of Information and Communications Department of Electrical Engineering and Computer Science Hauyang University Seoul South Korea

ISBN: (纸本)0780378601

Reinforcement learning (RL) has been widely used as a learning mechanism of an artificial life system. However, RL usually suffers from slow convergence to the optimum state-action sequence or a sequence of stimulus-response (SR) behaviors, and may not correctly work in non-Markov processes. In this paper, first, to cope with slow-convergence problem, if some state-action pairs are considered as disturbance for optimum sequence, then they are to be eliminated in long-term memory (LTM), where such disturbances are found by a shortest path-finding algorithm. This process is shown to let the system get an enhanced learning speed. Second, to partly solve non-Markov problem, if a stimulus is frequently met in a searching-process, then the stimulus is classified as a sequential percept for a non-Markov hidden state. And thus, a correct behavior for a non-Markov hidden state can be learned as in a Markov environment. To show the validity of our proposed learning technologies, several simulation results are illustrated.

关键词： Organisms Strontium Delay Animals Learning systems signal processing Convergence History Virtual environment Monte Carlo methods

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Small obstacle detection for autonomous land vehicle under semi-structural environments

Small obstacle detection for autonomous land vehicle under s...

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international conference on intelligent Transportation

作者： Zhiyu Xiang Zezhong Xu Jilin Liu Department of Information & Electronic Engineering University of Zhejiang Hangzhou China

ISBN: (纸本)0780381254

It is very necessary for Autonomous Land Vehicle (ALV) to have a reliable ability of obstacle detection. Unlike structural highway environments, where only vehicles ahead of the ALV are needed to consider, small obstacles are more often seen in semi-structural environments. In this paper we described a small obstacle detection system for ALV under such environments. The system consists of two 2D Laser Range Finders (LRF) which are responsible for obstacle recognizing and tracking respectively. For top LRF, a D-S evidence theory based obstacle recognition algorithm is used to distinguish the obstacles from the brushwood on the roadsides. Based on that, an obstacle tracking process is started by utilizing the data from bottom LRF. Besides the obstacles, the distribution of the brushwood on roadsides, which could be used for path planning, is also obtained. The experimental results demonstrate our success.

关键词： Vehicle detection Land vehicles signal processing algorithms Radar detection Radar tracking Radar imaging Laser radar Stereo vision Navigation Roads

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A hybrid intelligent closed-loop model for exploration of cardiovascular interactions

A hybrid intelligent closed-loop model for exploration of ca...

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ieee EMBS international conference on Information Technology Applications in Biomedicine (ITAB)

作者： E. Elsamahy M. Mahfouf D. Linkens Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Blood is a vital source for delivering oxygen and nutrients to trillions of cells in the body; this makes the function of the cardiovascular system essential to our existence. In the last few years, research interests have been directed to exploring its behaviour as well as its interactions with other systems in the human body under different types of stresses, i.e. mental and physical. In this study, we propose a closed-loop model built for the cardiovascular system, and analyse its interactions under physical-stress conditions. In this study, the signals of interest are: blood pressure, heart rate, temperature and respiration; our proposed model is based on the original Luczak model introduced in 1975. An intelligent system based modelling approach was used to represent the interactions between the cardiovascular system and the other control systems involved; based on the use of three neuro-fuzzy models for generating the blood pressure, heart rate, and temperature signals and a fuzzy-ARX model for generating the respiration signal. The interactions between the control systems that generate these signals are identified, and the estimated signals generated during simulation, for different patients, show good fits when compared with the actual measurements. The description of such complex interactions in patients will allow one to carry out diagnosis and prognosis in terms of the influence of stresses on systemic body functions.

关键词： Cardiology signal generators Cardiovascular system Biological system modeling Blood pressure Heart rate Control system synthesis signal processing Cells (biology) Humans

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An improved tactile matrix microsensor package

An improved tactile matrix microsensor package

引用

international conference on Physics and Control

作者： V.D. Todorova M.T. Mladenov Department of Electronics Technical University of Gabrovo Gabrovo Bulgaria

It is a fact that the most perspective tendency of the contemporary electronics is the development of intelligent systems of type, known as "artificial intellect". In line with the digital computing devices, very high importance has the information obtaining devices sensors. The complex applying of many physical, chemical and even biological principles in the contemporary microsystem technologies makes the sensor systems near to the possibilities of the real biological receptors. The object of this paper is a specific tactile sensor type with matrix structure. In some papers [1 /spl divide/ 8], we considered the possibilities, the peculiarities and operating principle of the tactile matrix /TM/. In this paper is represented a suggestion for package construction corresponding to the exploitation requirements for this sensor class. The package is especially for a completely automated sensor system, which allows: 1) an automatic identification of the tactile matrix; 2) self-tuning to the changed sensor parameters (time degradation, outer influences and other); 3) a possibility for using a neural network for signal processing in high resolution TM.

关键词： Microsensors Sensor systems intelligent sensors Chemical and biological sensors Chemical technology Tactile sensors Electronics packaging intelligent systems Artificial intelligence Biology computing

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Wavelet based estimation of the fractal dimension in fBm images

Wavelet based estimation of the fractal dimension in fBm ima...

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international ieee/EMBS conference on Neural Engineering, CNE

作者： C. Parra K. Iftekharuddin D. Rendon Intelligent Systems and Image Processing Laboratory Department of Electrical and Computer Engineering University of Memphis Memphis TN USA

Fractional Brownian Motion (fBm) has been successfully exploited to model an important number of physical phenomena and non-stationary processes such as medical images. These mathematical models closely describe essential properties of natural phenomena, such as self-similarity, scale invariance and fractal dimension (FD). The use of wavelet analysis combined with fBm analysis may provide an interesting approach to compute key values for fBm processes, such as the fractal dimension FD. We propose two models to calculate the Hurst Coefficient H (and hence FD) for both one-dimensional and two-dimensional signals. The first approach is based on statistical properties of the signals, while the second one is based on their spectral characteristics. A formal extension of these two models to 2D processes is developed and implemented, and a comparison of both is presented. The proposed algorithms are tested using tomographic brain tumor data. Our simulation experiments offer promising results in the identification of such lesions.

关键词： Fractals signal analysis Brownian motion Biomedical imaging Mathematical model Wavelet analysis signal processing Testing Tomography Neoplasms

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Blind equalization techniques for ETSI standard DSR front-end

Blind equalization techniques for ETSI standard DSR front-en...

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international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： S. Kuroiwa S. Tsuge Department of Information Science & Intelligent Systems Faculty of Engineering University of Tokushima Japan

We present blind equalization techniques for ETSI standard distributed speech recognition (DSR) frontend which compensate for acoustic mismatch caused by input devices. The DSR front-end employs vector quantization (VQ) for feature parameter compression so that the mismatch does not only cause a shift of parameters but also increases VQ distortion. Although cepstral mean subtraction (CMS) is one of the most effective methods to compensate for the shift, it can not decrease VQ distortion in DSR. To compensate for the shift and decrease VQ distortion simultaneously, the proposed methods estimate the shift in the input data necessary to match the VQ codebook distribution. The methods do not need the acoustic likelihood which is calculated in a decoder on the server side. Therefore, they are applicable to the DSR front-end. Japanese Newspaper Article Sentences database (JNAS) was used for the equalization experiments. While the word error rate (WER) for ETSI standard DSR frontend was 18.6 % under acoustic mismatched condition, our proposed method yielded a rate of 12.3 %.

关键词： Blind equalizers Telecommunication standards Acoustic distortion Speech recognition Acoustic devices Vector quantization Cepstral analysis Collision mitigation Decoding Databases

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Automatic discovery of the number of MUAP clusters and superimposed MUAP decomposition in electromyograms

Automatic discovery of the number of MUAP clusters and super...

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ieee EMBS international conference on Information Technology Applications in Biomedicine (ITAB)

作者： C.D. Katsis D.I. Fotiadis A. Likas I. Sarmas Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina and Biomedical Research Institute FORTH Ioannina Greece University Hospital of Ioannina Ioannina Greece

A novel data driven method for needle EMG decomposition is presented. The method is capable of automatically detecting the number of MUAPs. Superimposed MUAPs are detected and decomposed automatically into their constituents. No a priori knowledge of the number of MUAPs is required. The method is evaluated using a dataset consisting of 8 normal, 8 suffering from myopathy and 7 suffering from neuropathy subjects. The success rate on finding the correct number of clusters was 95%, 89% and 80%, respectively.

关键词： Electromyography Electrodes Muscles signal processing Needles signal resolution Neuromuscular Data acquisition Band pass filters Low pass filters

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