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We now know what fly photoreceptors compute

BMC Neuroscience 2013年第1期14卷 1-2页

作者： Uwe Friederich Stephen A Billings Daniel Coca Mikko Juusola Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD UK Department of Biomedical Science University of Sheffield Sheffield S10 2TN UK

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Multivariable PID controllers for dynamic process

Multivariable PID controllers for dynamic process

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Asian control Conference

作者： M.C. Razali N. A. Wahab P. Balaguer M. F. Rahmat S. I. Samsudin Department of Control and Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Malaysia Department of Industrial Systems and Design Universitat Jaume I de Castello Spain Department of Industrial Electronic Faculty of Electronics and Computer Engineering Universiti Teknikal Malaysia Melaka Durian Tunggal Malaysia

ISBN: (纸本)9781467357661

This paper is concerned with the design of a dynamic multivariable PID control for multi input multi output (MIMO) process. Four multivariable PID control schemes using Davison, Penttinen-Koivo, Maciejowski and a combined method were applied. The controller parameters for all control strategies were designed based on dynamic condition using singularly perturbed system. The purpose of the study is to investigate the effectiveness in the performance of dynamic control based on different multivariable PID control strategies. To attain the best result, numerous tuning parameters were tested. The simulation results show the significance of the study whereby the proposed dynamic MPID control scheme shows better improvement in control tuning of nonlinear system.

关键词： Process control Substrates Tuning PD control MIMO Wastewater treatment

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A 3D object model for wireless camera networks with network constraints

A 3D object model for wireless camera networks with network ...

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作者： Tan, Jindong Kong, Fanyu Liang, Wei Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville 1512 Middle Drive Knoxville TN 37996-2210 United States Microsoft Inc Seattle WA United States Laboratory of Industrial Control Network and Systems Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

A new general 3D object model is required in the literature of smart camera networks to facilitate future research. This paper presents a novel hierarchical and structural 3D model description which is well suited for both events detection and real-time free viewpoint surveillance. With this 3D model, sparse points are used to reconstruct objects. In addition, the state of the model is easy to track and estimate, which can be used to reduce time and computation when reconstructing the model. Further, data flow in the network is reduced to a level that smart cameras can afford. A concrete data structure of the model is described in this paper and its reconstruction method, the fusion method, is provided. Finally, experiment results show its feasibility, efficiency and effectiveness. © The Author(s) 2012.

关键词： Image reconstruction

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Performance evaluation of the wireless microrobot in pipe with symmetrical spiral structure

Performance evaluation of the wireless microrobot in pipe wi...

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IEEE International Conference on Robotics and Biomimetics

作者： Jian Guo Xiang Wei Shuxiang Guo Wei Wei Yuehui Ji Yunliang Wang Tianjin Key Laboratory for Control Theory & Application in Complicated Systems and Biomedical Robot Laboratory TianJin University of Technology TianJin China Intelligent Mechanical Systems Engineering Department Kagawa University Takamatsu Kagawa Japan

ISBN: (纸本)9781479927456

A wireless microrobot may be used in the small space and biomedical practice, especially in the industrial field and biomedical application. In this paper, we designed a new kind of wireless microrobot with symmetrical spiral structure, which have more compact volume, completely symmetrical mechanical structure, quick response, forward-backward motions and can clean the dirt adhering to the inner wall. According to the hydromechanical lubrication theory and Newton viscous law, we build the motion model of the microrobot. Through analysis, simulations and experiments, this paper had evaluated the effect of spiral depth and thread unit number. In addition, we verified the feasibility of this new kind of microrobots, and obtained the moving speeds of forward-backward and upward-downward motion in the pipe. The experimental results indicated that the maximum moving speed is 22.68 mm/s at 12 Hz in the horizontal direction and 6.29 mm/s at 13Hz in the vertical direction with input currents of 0.7A. Finally, we designed a control panel for this system, which can control the microrobot current motion states easily, and make our system more portable and compact. The designed wireless microrobot can move smoothly in water and other liquid medium and is very useful in the industrial application and microsurgery application.

关键词： Spirals Force Prototypes Wireless communication Current measurement Liquids Magnetic fields

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Modeling of muscle forces around the elbow in the RITS

Modeling of muscle forces around the elbow in the RITS

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IEEE International Conference on Robotics and Biomimetics

作者： Wei Wei Wu Zhang Fan Zhang Shuxiang Guo Jian Guo Yuehui Ji Yunliang Wang Tianjin Key Laboratory for Control Theory & Application in Complicated Systems and Biomedical Robot Laboratory TianJin University of Technology TianJin China The School of Electrical Engineering TianJin University of Technology TianJin China The School of Mechanical Engineering TianJin University of Technology TianJin China The Intelligent Mechanical Systems Engineering Department TianJin University of Technology TianJin Kagawa China

ISBN: (纸本)9781479927456

Muscle forces modeling and computation around the elbow are focused on in this paper when the elbow flexing and extending in the sagittal plane. The paper introduces a Rehabilitation Intelligent Training System (RITS) for restoration of motor function. The system has advantages of small size, less weight and interaction during the rehabilitation process. Furthermore, this system mainly consists of a force feedback device called PHANTOM Premium 1.5, ULERD, EEG (Electroencephalogram) based Brain-Computer Interfaces (BCI). The impaired hand wears the ULERD, so the therapist can control and move the injured hand by PHANTOM Premium in tele-operation. If the force feedback from PHAMTOM Premium is similar to the force generated by the muscle force of upper limb, the effect of upper limb rehabilitation to restore elbow motion may be suitable and satisfactory. This paper aims to computing the natural muscle forces and realizing the force which is generated by PHAMTOM and close to the computed one. Experiment has been performed to prove that the method is feasible in such robots. The development of this method can be a promising approach for further research in more effective rehabilitation to the elbow joint.

关键词： Muscles Force Elbow Robots Joints Brain modeling Educational institutions

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Sit to stand movement supported by an active orthosis

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Gait & Posture 2013年 38卷 S22-S23页

作者： Block, Julia Van Drongelen, Stefan Heitzmann, Daniel W.W. Müller, Roman Grün, Markus Wolf, Sebastian I. Heidelberg University Clinics Department for Orthopedics and Trauma Surgery Heidelberg Germany TU Darmstadt Microtechnology Electromechanical Systems Lab Darmstadt Germany TU Darmstadt Department of Control Engineering and Mechatronics Darmstadt Germany

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Ant Colony Based Model Prediction of a Twin Rotor System

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Procedia engineering 2012年 41卷 1135-1144页

作者： S.F. Toha S. Julai M.O. Tokhi Department of Mechatronics Faculty of Engineering International Islamic University Malaysia Malaysia Department of Mechanical Faculty of Engineering University Malaya Malaysia Department of Automatic Control Systems and Engineering University of Sheffield UK

Interest in biologically-inspired optimization techniques has increased due to its accurate results, fast performance and ease of use. In this paper, an ant colony optimization (ACO) technique is deployed and used for modelling a twin rotor system. The system is perceived as a challenging engineering problem due to its strong cross coupling between horizontal and vertical axes and inaccessibility of some of its states and outputs for measurements. Accurate modelling of the system is thus required so as to achieve satisfactory control objectives. It is demonstrated that ACO can be effectively used for modelling the system with highly accurate results. The accuracy of the modelling results is demonstrated through validation tests including training and test validation and correlation tests.

关键词： Ant colony optimisation Parametric modelling Twin rotor system Auto Regressive model

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SILVER: An Efficient Tool for Stable Isotope Labeling LC-MS Data Quantitative Analysis with Quality control Methods

SILVER: An Efficient Tool for Stable Isotope Labeling LC-MS ...

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第八届中国蛋白质组学大会

作者： Cheng Chang Jiyang Zhang Mingfei Han Jie Ma Songfeng Wu Wei Zhang Hongwei Xie Fuchu He Yunping Zhu Institutes of Biomedical Sciences and Department of Chemistry 130 DongAn RoadFudan UniversityShanghai 200032P.R.China State Key Laboratory of Proteomics Beijing Proteome Research CenterNational Engineering Research Center for Protein DrugsNational Center for Protein Sciences BeijingInstitute of Radiation MedicineBeijing 102206P.R.China Department of Automatic ControlCollege of Mechatronics and AutomationNational University of Defense TechnologyChangshaHunan 410073China State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Engineering Research Center for Protein DrugsNational Center for Protein Sciences BeijingInstitute of Radiation MedicineBeijing 102206P.R.China

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Reverse engineering gain adaptation in sensory systems

Reverse engineering gain adaptation in sensory systems

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9th IASTED International Conference on biomedical engineering, BioMed 2012

作者： Friederich, Uwe Billings, Stephen A. Juusola, Mikko A. Coca, Daniel Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street SI 3JD Sheffield United Kingdom Department of Biomedical Science University of Sheffield Western Bank S10 2TN Sheffield United Kingdom

ISBN: (纸本)9780889869097

Adaptation is a fundamental characteristic of sensory processing. It enables sensory neurones to map efficiently the extensive range of environmental signals onto their limited dynamic range in order to prevent saturation and to maximize the amount of information collected. This paper presents a novel two-step approach for identifying both the nonlinear dynamical model and the time evolution of the gain of a self-adaptive sensory system based on experimental data. The first step involves estimating a set of fixed-parameter models which are used to determine the underlying stimulus-invariant model structure and the set of parameters that change during adaptation. Subsequently, the inverse problem of estimating the time evolution of these parameters during adaptation can be formulated as an infinite-dimensional nonlinear constrained optimisation problem where the constraint is represented by the 'forward' time-invariant dynamical model derived in the first step. The gain function is estimated by solving an approximate finite-dimensional optimization problem derived using orthogonal Battle-Lemarie scaling basis functions. The applicability of the proposed approach is demonstrated through numerical simulation and using experimental data consisting of intracellular voltage responses recorded from fly photoreceptors subjected to light patterns over a wide range of luminance levels.

关键词： Inverse problems

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Analysis, 3D Reconstruction and Anatomical Feature Extraction from Medical Images

Analysis, 3D Reconstruction and Anatomical Feature Extractio...

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International Conference on biomedical engineering and Biotechnology (iCBEB)

作者： Jan Barabas Branko Babusiak Michal Gala Roman Radil Martin Capka Department of Electromagnetic and Biomedical Engineering University of Zilina Zilina Slovakia Department of Control and Information systems University of Zilina Zilina Slovakia

Computer tomography (CT) and magnetic resonance imaging (MR, MRI) are modern and valuable diagnostic methods in a wide range of medical applications. Their significant advantage lies in the ability to image individual slices of the patient. The presented article details our software allowing the viewing of individual slices, slice reconstruction in various projections, detailed analysis of slices and 3D reconstruction of desired object(s). Another feature allows for the localization of various anatomical structures for further evaluation of parameters that are not feasibly obtainable and may be used in further evaluation of patient health or other medical modalities.

关键词： Image segmentation Image reconstruction Splines (mathematics) Computed tomography Transforms Image edge detection Surface morphology

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