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5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Zeng, Ziming Tong, Zeng Han, Zhonghua Zhang, Yinlong Zwiggelaar, Reyer Information and Control Engineering Faculty Shenyang Jianzhu University Liaoning China Department of Computer Science Aberystwyth University Aberystwyth United Kingdom School of Management Shenyang Jianzhu University Shenyang Liaoning China Shenyang Institute of Automation Chinese Academy of Science Shenyang Liaoning China

ISBN: (纸本)9789400776173

This paper proposed an automatic method for the classification of meningioma subtypes based on the unsupervised color segmentation method and feature selection scheme. Firstly, a color segmentation method is utilized to segment the cell nuclei. Then the set of shape feature vectors which are calculated from the segmentation results are constructed. Finally, a k-nearest neighbour classifier (kNN) is used to classify the meningioma subtypes. Experiment shows that the classification accuracy of 85 % is achieved by using a leave-one-out cross validation approach on 80 meningioma images. © Springer science+Business Media Dordrecht 2014.

关键词： Color

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An adaptive predictive control strategy for RMPPT under partially shaded conditions 19

An adaptive predictive control strategy for RMPPT under part...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Ma, Chao Wu, Jing Li, Ning Li, Shaoyuan Li, Kang Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China School of Electronics Electrical Engineering and Computer Science Queen's University Belfast United Kingdom

ISBN: (纸本)9783902823625

As one of key technologies in photovoltaic converter control, Maximum Power Point Tracking (MPPT) methods can keep the power conversion efficiency as high as nearly 99% under the uniform solar irradiance condition. However, these methods may fail when shading conditions occur and the power loss can over as much as 70% due to the multiple maxima in I-P curve in shading conditions v.s. single maximum point in uniformly solar irradiance. In this paper, a Real Maximum Power Point Tracking (RMPPT) strategy under Partially Shaded Conditions (PSCs) is introduced to deal with this kind of problems. An optimization problem, based on a predictive model which will change adaptively with environment, is developed to tracking the global maxima and corresponding adaptive control strategy is presented. No additional circuits are required to obtain the environment uncertainties. Finally, simulations show the effectiveness of proposed method. © IFAC.

关键词： Adaptive control systems

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Model Reduction of Linear Switched Systems by Restricting Discrete Dynamics

Model Reduction of Linear Switched Systems by Restricting Di...

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IEEE Annual Conference on Decision and control

作者： Mert Bastug Mihaly Petreczky Rafael Wisniewski John Leth Department of Electronic Systems Automation and Control Aalborg University 9220 Aalborg Denmark Department of Computer Science and Automatic Control (UR Informatique et Automatique) Ecole des Mines de Douai 59508 Douai France

ISBN: (纸本)9781467360890

We present a procedure for reducing the number of continuous states of discrete-time linear switched systems, such that the reduced system has the same behavior as the original system for a subset of switching sequences. The proposed method is expected to be useful for abstraction based control synthesis methods for hybrid systems.

关键词： Reduced order model Switched systems hybrid systems Abstraction Switching sequences Subset Linear

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Optimal the Multiple Performances in EDM for SKH57 Using Grey Relational Analysis

Optimal the Multiple Performances in EDM for SKH57 Using Gre...

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2014 2nd International Conference on Materials science,Machinery and Energy engineering(MSMEE 2014)

作者： Yan-Cherng Lin Jung-Chou Hung Lih-Ren Hwang A-Cheng Wang Department of Mechanical Engineering Nan Kai University of Technology Department of Mechanical and Computer-Aided Engineering Feng Chia University Department of Mechanical and Automatic Engineering Chung Chou University of Science and Technology Department of Mechanical Engineering Chien Hsin University of Science and Technology

The aim of this investigation is to optimize the multiple performancesof electrical discharge machining(EDM) process for SKH57 using grey relational *** performances namely electrode wear rate(EWR) and surface roughness(SR)were considered as *** of experiments were conducted according to an L18 orthogonal array based on the Taguchi experimental design *** main input variables such as machining polarity(P),peak current(Ip), auxiliary current with high voltage(IH), pulse duration(τp), no-load voltage(V) and servo reference voltage(Sv) were selected to explore their effects on machining performances for high speed steel(HSS) graded ***, analysis of variance(ANOVA) was conducted to explore the significant input variables crucially affecting the multiple *** addition, the optimal combinations of input variables were also determined from the response graph of grey relational *** experimental results confirmed the multiple performances of SKH57 would obviously be improved through optimizing the input variables using grey relational analysis.

关键词： EDM multiple performances Grey relational analysis Taguchi method

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Longitudinal Data based Research on Semi-parametric Varying Coefficient Modeling

Longitudinal Data based Research on Semi-parametric Varying ...

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第25届中国过程控制会议

作者： Hui-min LI Jian-dong YANG Pu WANG Jing-wei LIU College of Electronic Information and Control Engineering Beijing University of Technology Department of Computer Science and Engineering North China Institute of Aerospace Engineering

Considering of advanced lung cancer progression rule,Semi-parameter varying coefficient model is *** index investigating in different time is lead into as input,and tumor progress is used as output,in order to explore the mapping relationship of time-changing index and tumor,2-step estimation method(BPLS)is used to estimate the coefficients of the *** parameters estimating,B-spline approximation is needed,time factor is lead into model by B-spline,and logistic semi-parametric varying coefficient model is used for longitudinal data logistic varying coefficient modeling,PWLSE method is proposed for variable *** tumor size is prognosis via checking index by this time,and tumor progression probability can be calculated through checking index of this *** can aid clinical doctor to know tumor progress situation,and take measure to control tumor serious changing *** experiments,we found,this modeling method is reasonable and effective,and it can forecast tumor size effectively and can indicate doctor to prolong survival time of patients by taking corresponding medical measures.

关键词： NSCLC Longitudinal data Logistic semi-parametric varying coefficient model Variable selection

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Pareto genetic path planning hybridized with multi-objective Dijkstra's algorithm

Pareto genetic path planning hybridized with multi-objective...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Lavinia Ferariu Corina Cîmpanu Department of Automatic Control and Applied Informatics “Gheorghe Asachi” Technical University of Iasi Iasi Romania Department of Computer Engineering “Gheorghe Asachi” Technical University of Iasi Iasi Romania

This paper presents an evolutionary approach to multi-objective path planning. The paths are defined on continuous scenes with disjoint and/or non-convex obstacles, for robots moving towards their destinations along linearly piecewise trajectories with any number of vertices. The fastest feasible route is genetically selected via a simultaneous minimization of path length and path steering angle. In order to assure an effective partial sorting of the potential solutions, the genetic algorithm makes use of a self-adaptive Pareto ranking scheme, based on individuals' grouping and dominance analysis. Before ranking, all the unfeasible solutions are corrected, by replacing the sub-paths which intersect the obstacles. The feasible segments are chosen from graphs generated with Delaunay triangulation, by applying a new multi-objective ranking-based fastest path procedure derived from the classical Dijsktra's algorithm. This new procedure is compatible with any nonlinear objective functions and allows using the same ranking scheme during the evolutionary search and correction of paths, thus making possible to guarantee the feasibility of the paths without any significant intrusion in the evolutionary exploration. The proposed algorithm can also be used for solving any graph - based path planning problem, involving any number of objectives. The experiments show the usefulness of the suggested techniques on working scenes with different layouts of obstacles.

关键词： Genetic algorithms Trajectory Sociology Statistics Algorithm design and analysis Optimization

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RETRACTED ARTICLE: Soft computing methodologies for estimation of bridge girder forces with perforations under tsunami wave loading

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Bulletin of Earthquake engineering 2014年第3期13卷 935-952页

作者： Akib, Shatirah Rahman, Sadia Shamshirband, Shahaboddin Petković, Dalibor Department of Civil Engineering University of Malaya Kuala Lumpur Malaysia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Computer Science Chalous Branch Islamic Azad University (IAU) Chalous Iran Department for Mechatronics and Control Faculty of Mechanical Engineering University of Niš Nis Serbia

Tsunamis pose a great threat to coastal infrastructures. Bridges without adequate provisions for earthquake and tsunami loading generally are vulnerable when a tsunami occurs. During the last two disastrous tsunami events (i.e., the tsunami in the Indian Ocean and the tsunami that struck Japan), many bridges were damaged by the waves created by the tsunamis. In this paper, in order to address this crucial problem, we used soft computing techniques to design and develop a process that simulates the effects of perforations in the girders of bridges on reducing the forces applied on the bridge when a tsunami occurs. Soft computing methods have very good learning and prediction capabilities, which make it an effective tool for dealing with the uncertainties encountered when waves are generated by a tsunami. Laboratory experiments were conducted to acquire a better understanding of the effects of the factors involved and to check the data required for the soft computing methods. In order to predict the effects of perforations in the girder of a bridge on force reduction, novel intelligent soft computing schemes, support vector regression (SVR), and adaptive neuro-fuzzy inference system (ANFIS) were investigated. In this study, the polynomial, linear, and radial basis function were used as the kernel function of the SVR to estimate the effects of perforations in a girder of a bridge. The performances of the proposed estimators were confirmed by simulation results. The SVR results were compared with the ANFIS results, and we observed that an improvement in predictive accuracy and the ability to generalize were achieved by the ANFIS approach.

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Model Reduction by Moment Matching for Linear Switched Systems

Model Reduction by Moment Matching for Linear Switched Syste...

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American control Conference

A moment-matching method for the model reduction of linear switched systems (LSSs) is developed. The method is based upon a partial realization theory of LSSs and it is similar to the Krylov subspace methods used for ... 详细信息

ISBN: (纸本)9781479932757

关键词： Reduced order systems Markov processes Switched systems Switches Approximation methods Approximation algorithms Computational modeling

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Principal Component Analysis Anomaly Detector for Rotor Broken Bars

Principal Component Analysis Anomaly Detector for Rotor Brok...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Mohammed Obaid Mustafa George Georgoulas George Nikolakopoulos Control Engineering Group Department of Computer Science Electrical and Space Engineering Lulea University of Technology Laboratory of Knowledge and Intelligent Computing (KIC) Department of Computer Engineering Technological Educational Institute of Epirus

ISBN: (纸本)9781479940318

In this article a method for the detection of broken rotor bars in asynchronous machines operating under full load is presented. Unlike most Motor Current Signature Analysis (MCSA) approaches, which operate in the frequency domain, our method operates in the time domain. The scheme is based on the use of a Principal Component Analysis (PCA) fault/anomaly detector. PCA is applied on the three stator currents to subsequently calculate the Q statistic which is employed for detecting the presence/absence of a fault. The efficiency of the proposed scheme was experimentally evaluated using different fault severity levels, ranging from 1/4 of a broken bar to three broken bars. The obtained results indicate that the method can detect the caused asymmetry with a very restricted amount of data.

关键词： Principal component analysis Rotors Bars Induction motors Detectors Stators Fault detection

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Frame Induced Vibration Estimation and Attenuation Scheme on a Multirotor helicopter

Frame Induced Vibration Estimation and Attenuation Scheme on...

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IEEE Annual Conference on Decision and control

作者： Emil Fresk George Nikolakopoulos Control Engineering Group Department of Computer Science Electrical and Space Engineering Lulea University of Technology SE-97187 Lulea Sweden

ISBN: (纸本)9781467360890

The aim of this article is to establish an induced frame vibration and attenuation scheme, specifically targeting the area of multi-rotor Unmanned Aerial Vehicles (UAVs), such as quadrotors. These types of unmanned small scale helicopters are characterized by small and light frames, which are vulnerable to vibrations induced by the operation of the motors or external environmental factors. The existence of such vibrations effecting the frame can significantly deteriorate the performance of the overall closed system and even drive it to instabilities. In this article spectral estimation schemes based on: a) Autoregressive (AR) modeling and b) Multiple Signal Classification (MUSIC) are being established and evaluated towards their ability to detect the induced vibration frequencies on the UAV, while an extended discussion is being presented on selecting the correct number of the identified induced vibrating frequencies. In a sequential stage, a vibration attenuation approach based on notch filtering is being presented, being able to correctly attenuate the induced vibrating frequencies in the measurements. The efficiency of the overall suggested scheme is being evaluated by experimental results that indicate the significant improvement in the measurements achieved by the direct application of the proposed scheme.

关键词： frame vibration Trap Filter Vibrational frequencies Multiple signal classification Scheme Engines Vulnerable

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