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STD Approach for Simulation, control and Visualization of Color-sorting Machine

IFAC Proceedings Volumes 2010年第24期43卷 276-279页

作者： Stepan Ozana Zdenek Slanina Martin Pies VSB-Technical University of Ostrava Faculty of Electrical Engineering and Computer Science Department of Measurement and Control Ostrava-Poruba 17.listopadu 15 Czech Republic Stepan.Ozana@vsb.cz

The paper deals with simulation, control and visualization of color-sorting machine. It is based on Matlab family products. In particular, Matlab R2007b and Simulink as a general simulation environment, with Stateflow to simulate STD-based models. Virtual Reality Toolbox for 3D visualization and Real Time Toolbox for connection between simulation and real world. Using Tagaki-Sugeno method, expert fuzzy system is designed for color detection which is most crucial part of the project. Physical model of color-sorting machine was developed at the laboratory of department of measurement and control. Because of complexity of the system it can be integrated in the lessons of Image Processing and control systems.

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Observer-based estimation of pressure signals in hydrostatic transmissions

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IFAC Proceedings Volumes 2010年第7期43卷 425-430页

作者： Horst Schulte Patrick Gerland University of Applied Science Berlin (HTW) Department of Engineering I Electrical Engineering and Automation Wilhelminenhofstr. 75A 12459 Berlin Germany University of Kassel Faculty of Mechanical Engineering Measurement and Control Moenchebergstr. 7 34125 Kassel Germany

Hydrostatic transmissions, also called hydrostatic gears, have been widely used in mobile working machines and off-road vehicles such as construction and agricultural machines. This kind of transmission offers important advantages like continuously variable transmission with high power density, maximum tractive force at low speeds and reversing without changing gear. The automatic electronic control of hydrostatic transmissions, which depend on a number of measurable values, has become more common in industrial practice. To ensure the reliability and safety at least a two-channel redundant system for the measuring channels is required. In this paper, a general model-based approach using a Takagi-Sugeno (T-S) fuzzy observer for analytical redundancy of the oil pressure measuring process in hydrostatic transmissions is developed. It has been shown by experimental results that this approach can be used to estimate the pressure values under varying load conditions and different driving situations.

关键词： observer design failure detection hydraulic systems

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Use of accelerometers for material inner defect detection

Use of accelerometers for material inner defect detection

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International Conference on Applied Electronics, AE

作者： Ondrej Krejcar Robert Frischer Department of Measurement and Control Center of Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy VSB-Technical University of Ostrava Ostrava Czech Republic

This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation from accelerometer is possible. Accelerometer is placed on the measured object. The analog signal needs to be digitized by a special I/O device to be processed offline with FFT (Fast Fourier Transformation). The power spectrum is then examined by developed evaluating procedures.

关键词： Accelerometers Vibrations Software Conferences Distortion measurement Converters Unified modeling language

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Notice of Retraction: Material inner defect detection by a vibration spectrum analysis

Notice of Retraction: Material inner defect detection by a v...

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International Conference on Mechanical and Electronics engineering (ICMEE)

作者： Ondrej Krejcar Robert Frischer Department of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy VSB-Technical University of Ostrava Ostrava Czech Republic

This article has been retracted by the publisher.

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Statistical characterization of actigraphy data during sleep and wakefulness states

Statistical characterization of actigraphy data during sleep...

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

作者： Ondrej Adamec Alexandre Domingues Teresa Paiva J. Miguel Sanches Faculty of Electrical Engineering and Computer Science Department of Measurement and Control VSB-Technical University of Ostrava Czech Republic Instituto Superior Technico Lisboa Portugal Centro de Electroencefalografia e Neurologia Clínica Universidade de Lisbon Portugal

Human activity can be measured with actimetry sensors used by the subjects in several locations such as the wrists or legs. Actigraphy data is used in different contexts such as sports training or tele-medicine monitoring. In the diagnosis of sleep disorders, the actimetry sensor, which is basically a 3D axis accelerometer, is used by the patient in the non dominant wrist typically during an entire week. In this paper the actigraphy data is described by a weighted mixture of two distributions where the weight evolves along the day according to the patient circadian cycle. Thus, one of the distributions is mainly associated with the wakefulness state while the other is associated with the sleep state. Actigraphy data, acquired from 20 healthy patients and manually segmented by trained technicians, is used to characterize the acceleration magnitude during sleep and wakefulness states. Several mixture combinations are tested and statistically validated with conformity measures. It is shown that both distributions can co-exist at a certain time with varying importance along the circadian cycle.

关键词： Sleep Histograms Wrist Rician channels Sensors Monitoring Gaussian distribution

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Comparison of nonparametric frequency estimators

Comparison of nonparametric frequency estimators

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2010 IEEE International Instrumentation and measurement Technology Conference, I2MTC 2010

作者： Slepička, David Agrež, Dušan Lapuh, Rado Nunzi, Emilia Petri, Dario Radil, Tomáš Schoukens, Johan Sedláček, Miloš Department of Measurement Czech Technical University in Prague Prague Czech Republic Faculty of Electrical Engineering University of Ljubljana Ljubljana Slovenia Metrology Institute of the Republic of Slovenia Slovenian Institute for Quality and Metrology Ljubljana Slovenia Dept. of Electronic Engineering and of Information University of Perugia Perugia Italy Dept. of Information Engineering and Computer Science University of Trento Trento Italy Instituto de Telecomunicaçoes Lisbon Portugal Department ELEC Vrije Universiteit Brussel Brussels Belgium

This paper deals with the performance of several upto-date nonparametric frequency estimators. The algorithms of frequency estimation are introduced and their bias, standard deviation and consumption time are compared... 详细信息

ISBN: (纸本)9781424428335

关键词： Frequency estimation

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Selection of optimal EEG channels for classification of signals correlated with alcohol abusers

Selection of optimal EEG channels for classification of sign...

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International Conference on Signal Processing Proceedings (ICSP)

作者： M. Alavash Shooshtari S. Kamaledin Setarehdan Biomedical Engineering Department Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran

Many brain events and disorders can be detected by analyzing electroencephalograms (EEGs). Also the availability of quantitative biological markers that are correlated with qualitative psychiatric phenotypes helps us to utilize automated methods to diagnose and classify these phenotypes. One such a psychiatric phenotype is alcoholism. In this study a method to select an optimal subset of EEG channels for the purpose of practical classification of alcohol abusers from normal subjects is proposed, which is based on combination of model-based spectral analysis and correlation matrices. The EEG signals were recorded when the subjects were represented with single trial visual stimuli. The proposed method proved successful in selecting an optimum number of channels which achieved acceptable average classification accuracy.

关键词： Electroencephalography Support vector machines Correlation Visualization Accuracy Feature extraction Brain modeling

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Master-slave robotic system for 3 dimensional needle steering

Master-slave robotic system for 3 dimensional needle steerin...

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2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Hyo-Jeong Cha Jaeheon Chung Whee Kuk Kim Byung-Ju Yi School of Electrical Engineering and Computer Science Hanyang University Ansan South Korea Department of Advanced Medical Initiatives Faculty of Medical Science Kyushu University Japan Department of Control and Instrumentation Engineering Korea University Seoul South Korea

This paper proposes a new 4-Degree-of-Freedom (DOF) master-slave system for 3 dimensional needle steering. Both master and slave devices are commonly composed of a 3 DOF spherical type parallel mechanism and a 1 DOF needle insertion mechanism. This system provides users with 3 dimensional needle steering and force reflection capabilities. The real time forward solution of the master device is addressed. The design of the master-slave system is described in detail. Finally, the effectiveness of this system for 3 dimensional needle steering task is verified through experimental work.

关键词： Needles Robots Master-slave Joints Phantoms Force Kinematics

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Implementation of a 4-DOF parallel mechanism as a needle insertion device

Implementation of a 4-DOF parallel mechanism as a needle ins...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Jaeheon Chung Hyo-Jeong Cha Byung-Ju Yi Whee Kuk Kim Department of Advanced Medical Initiatives Faculty of Medical Sciences Kyushu University Fukuoka Japan School of Electrical Engineering and Computer Science Hanyang University Ansan South Korea Department of Control and Instrumentation Engineering Korea University South Korea

ISBN: (纸本)9781424450381;9781424450404

Recently, quite a few practical parallel mechanisms having spatial 3-DOF and 6-DOF have been introduced and implemented. However, not many useful practical applications using low-mobility parallel mechanisms having 4-DOF and 5-DOF have been developed. In this paper, we propose a 4-DOF parallel mechanism for needle insertion application in which proper orientation and needle insertion process are required. The mechanism has four outer chains and one passive middle chain through which a needle insertion motion occurs. The kinematic modeling and kinematic analysis are performed to understand the characteristics of this mechanism. Through the singularity analysis, a singularity-free design for the desired workspace is proposed. Finally, the effectiveness of this device as a needle insertion device is shown through experimental work.

关键词： Needles Kinematics Medical robotics Industrial training computer science Testing Surgery Robotics and automation USA Councils Parallel robots

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sEMG based fuzzy control strategy with ANFIS path planning for prosthetic hand

sEMG based fuzzy control strategy with ANFIS path planning f...

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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Chandrasekhar Potluri Parmod Kumar Madhavi Anugolu Steve Chiu Alex Urfer Marco P. Schoen D. Subbaram Naidu Measurement and Control Engineering Research Center MCERC College of Engineering Idaho State University Pocatello ID USA MCERC College of Engineering Idaho State University Pocatello ID USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello ID USA Department of Physical and Occupational Therapy Idaho State University Pocatello ID USA Department of Mechanical and Nuclear Engineering MCERC Idaho State University Pocatello ID USA Department of Electrical Engineering and computer science MCERC Idaho State University Pocatello ID USA

This paper presents an intelligent adaptive neurofuzzy inference system (ANFIS) based fuzzy Mamdani controller for a multifingered prosthetic hand. The objective of the controller is to move the finger joint angles along predetermined paths representing a grasping motion. The initiation of the grasping task is evaluated via EMG-entropy data, measured at the forearm of the prosthetic user. In addition to the motion control, the finger force is regulated with a Fuzzy logic controller. Simulation results indicate good performance of the proposed controller. Results show that the outputs follow the hand/finger force and given reference trajectory closely.

关键词： Entropy Force Fingers Electromyography Fuzzy logic Indexes Prosthetic hand

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