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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171-180 订阅

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Design of neuronal network to control Spirulina aquaculture

Design of neuronal network to control Spirulina aquaculture

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5th international conference on Informatics in Control, Automation and robotics

作者： Ponce, Ernesto Ponce, Claudio Barraza, Bernardo Tarapaca Univ Dept Mech Engn Dept Elect Engn Arica Chile

ISBN: (纸本)9789898111302

A neural network that was designed to control a Spirulina aquaculture process in a pilot plant in the north of Chile, is presented in this work. Spirulina is a super food, but is a delicate alga and its culture may be suddenly lost by rapid changes in the weather that can affect its temperature, salinity or pH. The neural network control system presented is complex and non linear, and has several variables. The previous automatic control system for the plant proved unable to cope with large climatic variations. The advantage of this new method is the improvement in efficiency of the process, and a reliable control system that is able to adapt to climatic changes. The future application of this work is related to the industrial production of food and fuel from micro algae culture, for the growing world population.

关键词： neural network Spirulina control aquaculture signal processing system

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Context-based scene recognition using Bayesian networks with scale-invariant feature transform

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8th international conference on Advanced Concepts for intelligent Vision systems

作者： Im, Seung-Bin Cho, Sung-Bae Yonsei Univ Dept Comp Sci Seoul 120749 South Korea

ISBN: (纸本)3540446303

Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the uncertainty. Bayesian probabilistic approach is robust to manage the uncertainty, and powerful to model high-level contexts like the relationship between places and objects. In this paper, we propose a context-based Bayesian method with SIFT for scene understanding. At first, image pre-processing extracts features from vision information and objects-existence information is extracted by SIFT that is rotation and scale invariant. This information is provided to Bayesian networks for robust inference in scene understanding. Experiments in complex real environments show that the proposed method is useful.

关键词： Pattern recognition systems

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Non-conventional processing of noisy signal in the adaptive control of hydraulic differential servo cylinders 3

Non-conventional processing of noisy signal in the adaptive ...

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3rd ieee international Symposium on intelligent signal processing, WISP 2003

作者： Tar, József K. Rudas, Imre J. Szeghegyi, Ágnes Kozlowski, Krzysztof Budapest Polytechnic John von Neumann Faculty of Informatics Népszínház utca 8 BudapestH-1081 Hungary Budapest Polytechnic Károly Keleti Faculty of Economics Népszínház utca 8 BudapestH-1081 Hungary Poznań University of Technology Chair of Control Robotics and Computer Science Ul. Piotrowo 3a Poznań60-965 Poland

ISBN: (纸本)0780378644

Hydraulic differential electric servo cylinders are strongly non-linear, coupled multivariable electromechanical tools applicable for driving e.g. manipulators. The primary controllable physical agent in such systems is the time-derivative of the pressure of the working fluid in the appropriate chambers of the cylinder. Besides the nonlinearities of hydrodynamical origin discontinous ones described by the Stribeck model originate from the friction between the cylinder and the piston. This model contains the terms of the viscous, the static, and the adhesive contributions of friction. Whenever the velocity of the piston changes its sign alternating friction force of considerable amplitude appears. Such behavior means serious difficulty in feedback-based continuous path (CP) dynamic control whenever a nominal trajectory asymptotically approaching a zero velocity segment is needed: the system itself generates a noise-like acceleration signal to be used in the control. Since hydraulic drives have considerable advantages in comparison with electric ones it would be desirable to extend their application to dynamic CP control, too. For this purpose a special adaptive non-linear control dealing with the system-generated noisy signals was elaborated. The method is rather based on a novel branch of soft computing slightly supported by a uonconventional noise filtering. In the present paper the capabilities of the improved controller are illustrated via simulation. ©2003 ieee.

关键词： Cylinders (shapes)

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A novel digital watermark scheme based on image independent feature

A novel digital watermark scheme based on image independent ...

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ieee international conference on robotics, intelligent systems and signal processing

作者： Jiande Sun Ju Liu School of Info. Science and Engineering Shandong University Jinan China Telecommunications Technological Center of Catalonia Barcelona Spain

ISBN: (纸本)078037925X

Recently, independent component analysis (ICA) was used to extract image feature. At the same time, the ICA-based watermarking techniques appeared. In this paper, a novel watermarking method is proposed, in which DCT is used to do in-depth processing after ICA to remove the correlation of the elements of the independent components, and then the watermark is embedded into the coefficients. The simulation experiment shows good results.

关键词： Watermarking Independent component analysis Mutual information Entropy Copyright protection Humans signal processing Stochastic processes Vectors Sun

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Visual based tracking of planar robot arms: a scheme using projection matrix

Visual based tracking of planar robot arms: a scheme using p...

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ieee international conference on robotics, intelligent systems and signal processing

作者： N.H. Quach Ming Liu Department of Electrical and Computer Systems Engineering Monash University VIC Australia

In this paper, we develop a new control strategy for a planar robot arm with hand-eye configuration. The control law uses the projection matrix instead of the position feedback in task space to perform the visual servoing. This is the extension of our previous work on the friction and gravity torques estimation and compensation for robot arms. A tracking control simulation program was written to illustrate the performance of the proposed controller.

关键词： Robots Manipulators Transmission line matrix methods Cameras Gravity Orbital robotics Friction Jacobian matrices Feedback Visual servoing

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On future development of autonomous systems: A report of the plenary panel at ieee ICAS'21

On future development of autonomous systems: A report of the...

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2021 ieee international conference on Autonomous systems, ICAS 2021

作者： Wang, Yingxu Pitas, Ioannis Plataniotis, Konstantinos N. Regazzoni, Carlo S. Sadler, Brian M. Roy-Chowdhury, Amit Hou, Ming Mohammadi, Arash Marcenaro, Lucio Atashzar, Farokh Alzahir, Saif University of Calgary AB Canada Greece University of Toronto ON Canada University of Genova Italy US Army Research Laboratory United States University of California RiversideCA United States Defence Research and Development Canada Toronto Canada Univ. of Concordia MontrealQC Canada New York University NY United States Univ. of Concordia MontrealQC Canada

ISBN: (纸本)9781728172897

Autonomous systems (AS) are perceived as the most advanced intelligent systems evolved from those of reflexive, imperative, and adaptive intelligence. A plenary panel on 'Future Development of Autonomous systems' is organized at the inaugural ieee ICAS'21. This paper reports the panel discussions about the-state-of-the-art and paradigms of AS, the basic research on theoretical foundations and mathematical means of AS, and challenges to the future development of AS. As an emerging and increasingly demanded field, AS provide an unprecedented approach to contemporary intelligent industries including deep machine learning, highly intelligent robotics, cognitive computers, general AI technologies, and industrial applications enabled by transdisciplinary advances in intelligence science, system science, brain science, cognitive science, robotics, computational intelligence, and intelligent mathematics. © 2021 ieee.

关键词： Cognitive systems

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Automatic vectorization of contour lines based on deformable model with adaptive flow orientation

Automatic vectorization of contour lines based on deformable...

引用

ieee international conference on robotics, intelligent systems and signal processing

作者： Huali Zheng Xianzhong Zhou Hongbo Wang Department of Automation Nanjing University of Science and Technology of PLA Nanjing China

ISBN: (纸本)078037925X

Automatic vectorization of contour lines in topographic maps is one of important and difficult issues for map interpretation and geographic information systems. Based on the analysis of characteristics of contour lines, a novel deformable model for automated tracking is proposed. With the seed segment searching and variable force control, contour lines can be vectorized automatically. The tracking algorithm is significant because it is directed by adaptive flow orientation with global analysis. Experiments prove that it is practical and robust.

关键词： Deformable models Geographic Information systems Image segmentation Image converters Graphics Object oriented modeling robotics and automation signal processing algorithms Algorithm design and analysis Active contours

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Study on humanoid motion control system

Study on humanoid motion control system

引用

ieee international conference on robotics, intelligent systems and signal processing

作者： Jian Wang Hui Liu Hongxu Ma Department of Mechtronic and Automation National University of Defense Technology Changsha Hunan China

ISBN: (纸本)078037925X

In this paper, the configuration of humanoid motion control system is brought forward according to the requirement of humanoid structure and control characters. The plan of motion control system, the structure of lower controllers, control algorithm and the ways of data exchange are expatriated in detail. Finally, the efficiency of the control system is proved and the prototype is realized, and the emphasis of our future work is described.

关键词： Motion control Control systems Humanoid robots Motion planning Automatic control Joints Fingers Servomotors Pulse width modulation Automation

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Toward intelligent sensors - Reliability for time delay based direction of arrival estimates

Toward intelligent sensors - Reliability for time delay base...

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2003 ieee international conference on Accoustics, Speech, and signal processing

作者： Pirinen, Tuomo Pertilä, Pasi Visa, Ari Tampere University of Technology Institute of Signal Processing Korkeakoulunkatu 1 33720 Tampere Finland

Increasing demand for automatic large area surveillance has made methods estimating direction of arrival (DOA), especially acoustic methods, an interesting topic. In these systems false alarms and faults are a disturbing factor. This paper presents a reliability criterion and a new method to diminish these errors. In very low signal-to-noise ratio conditions there are seldom any means to improve the performance of a DOA estimator. In these cases it is important to have some information about the estimation reliability. Our focus is on wideband signals propagating as planar waves in three dimensional space. If the estimation method makes no assumptions on the signal propagation speed, it is possible to compute a reliability measure for obtained estimates. With this reliability measure we are able to decide whether the data produced by a time delay based DOA estimation system is usable or not. Indeed, with this criterion an estimation system can state its own reliability.

关键词： Sensors

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An improved self-organizing map approach to traveling salesman problem

An improved self-organizing map approach to traveling salesm...

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ieee international conference on robotics, intelligent systems and signal processing

作者： Anmin Zhu S.X. Yang Advanced Robotics and Intelligent Systems (ARIS) Lab School of Engineering University of Guelph Canada

ISBN: (纸本)078037925X

In this paper, an improved self-organizing map approach to solving the traveling salesman problem is proposed by fixing the number of nodes in the output layer of neural network, modifying the neighborhood function, and modifying the weight update rules. An overview of previous work on solving the traveling salesman problem is given. An extension of the proposed algorithm can also be used to solve multiple traveling salesman problems and robot path planning. The simulation results demonstrate that the proposed algorithm is capable of providing a better solution within a reasonable time and much faster than conventional self-organizing map algorithms.

关键词： Traveling salesman problems Cities and towns Computer aided instruction intelligent robots intelligent systems Neural networks Path planning Costs Scheduling Books

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