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A study of the effect of the femoral head diameter on prosthetic hip joint dislocation using a hip-joint motion simulator

A study of the effect of the femoral head diameter on prosth...

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

作者： Kazuo Kiguchi Toru Horie Akira Yamashita Masaru Ueno Tsuneyuki Kobayashi Masaaki Mawatari Takao Hotokebuchi Department of Advanced Systems Control Engineering Saga University Saga Japan Research Department Japan Medical Materials Corporation Yodogawa Osaka Japan Faculty of Medicine Saga University Saga Japan

Prosthetic hip joint dislocation phenomenon is generated by the hip joint simulator and the effect of the femoral head diameter is studied under the same condition which is similar to the condition in daily activities. Impedance control is applied to control the hip joint motion and the joint contact force simultaneously in order to take into account the constraint caused by surrounding tendons, muscles, and a joint capsule of the hip joint. The experimental results show that the hip joint dislocation phenomenon is generated by the simulator and the obtained results about the effect of the femoral head size agree with those of the other research.

关键词： Prosthetics Hip Force control Motion control control engineering Impedance Tendons Muscles Head Performance evaluation

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Feature extraction of light sleep state in polysomnogram by use of conditional probability

Feature extraction of light sleep state in polysomnogram by ...

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SICE Annual Conference

作者： Hiroaki Yoshiyama Takenao Sugi Rei Wang Shuichiro Shirakawa Masatoshi Nakamura Department of Electrical and Electronic Engineering Saga University Saga Japan Department of Automation East China University of Science and Technology Shanghai China Department of Advanced Systems Control Engineering Saga University Saga Japan National Center of Neurology and Psychiatry Tokyo Japan

Human sleep stages wring whole night are usually classified into six stages based on polysommnographic (PSG) record. Sleep state of human light sleep changes gradually and continuously. In this study, automatic judgment of light sleep state in PSG record was developed. Parameters for characterizing the PSG were calculated from the periodogram and the discriminant function was constructed by using conditional probability. Estimated value of wake full level was gradually decreased according to the stage charged from W to S1. In contrast, changing the sleep state from S1 to S2 increased estimated value of sleep level accordingly.

关键词： Feature extraction Sleep

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Reliability based lifetime prediction and optimization for permanent magnet synchronous machines

Reliability based lifetime prediction and optimization for p...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Wei Hu Bertram Foitzik Chi-Thuan Cao Clemens Guhmann Vehicle Safety and Assistance Systems Corporate Research and Advanced Engineering Robert Bosch GmbH Schwieberdingen Germany School of Electrical Engineering and Computer Science Department of Energy and Automation Technology School of Electrical Engineering and Computer Science Department of Energy and Automation Technology Technical University Berlin Berlin Germany

This paper presents a methodology for on-line evaluation of electrical motors current state, used to predict its life-time and to increase the residual lifetime. Based on the estimated motor state, the residual lifetime can be extended drastically by reducing the load. Also maintenance costs can be reduced. The current motor health state is observed based on the on-line calculation of the motor load. Residual lifetime is calculated using statistical data, providing the probability of failure if the system is kept running. Algorithms for optimized motor control are based on a clear decision concept. Here we introduce health rate (HR) as a new input for the controller. The HR value is computed using motor damage estimated from motor lifetime and the motor run time. According to HR value, the controller then adjusts control values such as current, velocity, angle, torque, etc. The methodology is demonstrated using simulation. The results show that a good compromise between motor performance and predicted residual lifetime can be found in order to increase the systems availability and moreover to operate faultlessly.

关键词： Permanent magnet machines Synchronous motors Permanent magnet motors Life estimation Lifetime estimation Torque control Velocity control State estimation Costs Probability

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Automatic Interpretation of Dominant Rhythm in Awake Electroencephalogram Based on Coherence and Phase Analysis for Bipolar Derivation

Automatic Interpretation of Dominant Rhythm in Awake Electro...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Xiu Zhang Xingyu Wang Takashi Nagamine Takenao Sugi Hiroshi Shibasaki Akio Ikeda Masatoshi Nakamura Department of Automation East China University of Science and Technology Shanghai China Department of System Neuroscience Sapporo Medical University Hokkaido Japan Department of Electrical and Electronic Engineering Saga University Saga Japan Takeda General Hospital Kyoto Japan Department of Neurology Kyoto University Kyoto Japan Research Institute of Systems Control Institute of Advanced Research and Education Saga University Saga Japan

ISBN: (纸本)9781424441327

Automatic electroencephalogram (EEG) interpretation based on referential derivation is easily interfered by ear lobe activation. In order to improve the quantitative EEG interpretation of dominant rhythm, bipolar derivation was proposed in this study. Coherence and phase obtained from cross spectrum analysis were used to determine the focus of dominant rhythm. Existence, peak frequency, amplitude and asymmetry of dominant rhythm were interpreted within the frequency band from 4 to 13Hz. The automatic interpretation of dominant rhythm based on bipolar derivation was compared with the visual inspection of electroencephalographer (EEGer) and showed good consistence.

关键词： Rhythm Auditory system Signal synthesis Testing Speech processing Deafness Aging Signal analysis Biomedical engineering Instruments

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Bipolar EEG Analysis Based on Cross Spectrum: Focal Detection of Slowing Wave for Automatic EEG Interpretation

Bipolar EEG Analysis Based on Cross Spectrum: Focal Detectio...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Bei Wang Takenao Sugi Xingyu Wang Akio Ikeda Takashi Nagamine Hiroshi Shibasaki Masatoshi Nakamura Department of Automation East China University of Science and Technology Shanghai China Department of Electrical and Electronic Engineering Saga University Saga Japan Department of Neurology Kyoto University Kyoto Japan Department of System Neuroscience Sapporo Medical University Hokkaido Japan Takeda General Hospital Kyoto Japan Research Institute of Systems Control Institute of Advanced Research and Education Saga University Saga Japan

ISBN: (纸本)9781424441327

EEG is represented to referential derivation with ear lobe reference and bipolar derivations for quantitative interpretation. When the ear lobe was activated, referential derivation with ear lobe reference was contaminated by ear lobe artifacts. In this study, the focus and extension of EEG components were estimated based on the cross spectrum of bipolar derivation. A referential derivation was constructed by choosing the electrodes out of the focus and extension area to obtain the distribution of EEG components. The constructed referential derivation can avoid the artifacts of ear lobe activation for quantitative EEG interpretation.

关键词： Electroencephalography Ear Electrodes automation Educational technology Biomedical engineering Nervous system Neuroscience Hospitals Medical control systems

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Automatic interpretation of hyperventilation-induced electroencephalogram fitting to visual inspection

Automatic interpretation of hyperventilation-induced electro...

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SICE Annual Conference

作者： Xiu Zhang Xingyu Wang Takenao Sugi Akio Ikeda Takashi Nagamine Hiroshi Shibasaki Masatoshi Nakamura Department of Automation East China University of Science and Technology Shanghai China Research Institute of Systems Control Institute of Advanced Research and Education Saga University Saga Japan Department of Electrical and Electronic Engineering Saga University Saga Japan Department of Neurology Graduate School of Medicine Kyoto University Kyoto Japan Department of System Neuroscience Sapporo Medical University Hokkaido Japan Takeda General Hospital Kyoto Japan

Quantitative analysis and detection of abnormalities for electroencephalogram (EEG) recordings during evoked activities are essential for clinical diagnosis on neurological disorders. However, the process of interpreting EEG is time consuming and requires experienced electroencephalographers (EEGers). In this study, a method of automatic EEG interpretation during hyperventilation was proposed. The purpose is to provide a quantitative interpretation of EEG which is able to conform to EEGers' visual inspection. The final integrated results of automatic interpretation were compared with EEGers' evaluation, and showed high consistence.

关键词： Inspection Electroencephalography Medical diagnostic imaging Electrodes Hospitals Clinical diagnosis Scalp Rhythm automation Educational technology

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System modeling for affordable and sustainable development of small hydro projects in Rwanda

System modeling for affordable and sustainable development o...

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SICE Annual Conference

作者： Nishantha Nanayakkara Fatin Ali Mohamed Masatoshi Nakamura Department of Electrical Engineering University of Moratuwa Sri Lanka Industrial Energy & Climate Change Branch Vienna International Centre Vienna Austria Research Institute of Systems Control Institute of Advanced Research and Education University of Saga Saga Japan

Most of the African countries have less than 10% of electrification and 90% of the electrified areas are confined to capital city, so that access to electricity is only confined to main towns. With the initiative of United Nations Industrial Development Organization (UNIDO), an attempt was made to deviate from the accepted norms of project financing, but participatory development of rural villages by utilizing their own hydro resources for power generation. Access to electricity, affordability, appropriate standards in construction and installation and quality of power are key factors in such development projects. Three small hydro projects in Rwanda have been completed under UNIDO umbrella, giving electricity to around 750 households from each project.

关键词： Modeling Sustainable development Government Power generation Electrical equipment industry Industrial control Construction industry Large-scale systems Project management Electronic mail

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An innovative generation control system for improving design and stability of shipboard medium-voltage DC Integrated Power System

An innovative generation control system for improving design...

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IEEE Electric Ship Technologies Symposium, ESTS

作者： Vittorio Arcidiacono Antonello Monti Giorgio Sulligoi Research & Development Division M. A. I. Control Systems Limited Milan Italy Institute of Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Aachen Germany Department of Electrical Electronic and Computer Engineering University of Trieste Trieste Italy

Ensuring system stability in medium-voltage DC (MVDC) integrated power systems (IPS) is a key issue, due to the presence of many shipboard electric users fed by constant power load (CPL) converters. This paper presents an innovative control system aimed at utilizing alternators, connected to the IPS through controlled AC-DC interface converters, to improve MVDC stable voltage control. Such system is designed to control, for each shipboard generator, the AC machine voltage, the prime mover speed and the interface converter, in an integrated way. Technological aspects and control principle scheme of this system will be presented in the paper, with particular reference to the issue of DC-link voltage stability. This system is expected to bring advantages in terms of MVDC IPS integration, stable parallel operation of generators and loads, safe exploitation of alternators capability as a source of stabilizing power.

关键词： Power system stability DC generators Power generation control systems Medium voltage Power system control Power systems Voltage control Alternators Analog-digital conversion

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Identification, Prediction and Detection of the Process Fault in a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification, Prediction and Detection of the Process Faul...

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International Conference on Computer and Electrical Engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering Sharif University of Technology International Campus Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

In this paper, we use nonlinear system identification method to predict and detect process fault of a cement rotary kiln. After selecting proper inputs and output, an input-output model is identified for the plant. To identify the various operation points in the kiln, Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. Then, by using this method, we obtained 3 distinct models for the normal and faulty situations in the kiln. One of the models is for normal condition of the kiln with 15 minutes prediction horizon. The other two models are for the two faulty situations in the kiln with 7 minutes prediction horizon are presented. At the end, we detect these faults in validation data. The data collected from White Saveh Cement Company is used for in this study.

关键词： Fault diagnosis Fault detection Kilns Production facilities Electrical fault detection Fuzzy systems Delay estimation Nonlinear systems Predictive models automation

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Identification of Nonlinear Predictor and Simulator Models of a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification of Nonlinear Predictor and Simulator Models o...

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International Conference on Computer and Electrical Engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering International Campus Sharif University of Technology Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

One of the most important parts of a cement factory is the cement rotary kiln which plays a key role in quality and quantity of produced cement. In this part, the physical exertion and bilateral movement of air and materials, together with chemical reactions take place. Thus, this system has immensely complex and nonlinear dynamic equations. These equations have not worked out yet. Only in exceptional case; however, a large number of the involved parameters were crossed out and an approximation model was presented instead. This issue caused many problems for designing a cement rotary kiln controller. In this paper, we presented nonlinear predictor and simulator models for a real cement rotary kiln by using nonlinear identification technique on the Locally Linear Neuro-Fuzzy (LLNF) model. For the first time, a simulator model as well as a predictor one with a precise fifteen minute prediction horizon for a cement rotary kiln is presented. These models are trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. At the end, the characteristics of these models are expressed. Furthermore, we presented the pros and cons of these models. The data collected from White Saveh Cement Company is used for modeling.

关键词： Predictive models Kilns Computational modeling Power system modeling Production facilities Nonlinear control systems Chemical technology Nonlinear equations Automatic control Process control

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