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26th International Congress on Sound and Vibration, ICSV 2019

作者： Hudon, R.E. Yao, K. Taylor, C.E. Yu, K. Hedley, R.W. Electrical and Computer Engineering Dept UCLA Los AngelesCA United States Department of Ecology and Evolutionary Biology UCLA Los AngelesCA United States Dept. of Control Science and Engineering Zhejiang University Hanzhou China Erin Bayne Laboratory University of Alberta EdmontonAB Canada

ISBN: (纸本)9781999181000

Various wide-band multiple source detection and direction-of-arrival (DOA) estimation using array methods have been proposed. For multiple wide-band 2D source DOA estimation, an Approximate Maximum-Likelihood (AML) method was proposed with later extension to 3D applications. AML is an iterative method that is computationally demanding, so must typically be performed off-line. Now we propose a new, analytic, method to separate and localize overlapping sources that is much faster and less computationally demanding. We used the k-th subband of the cross-covariance matrix Ck of H-frame of a contiguous array of N sensors data to perform an eigen-decomposition [Vk, Dk ] = eig(Ck ) . The ratios of the larger eigenvalues in Dk relative to the smallest eigenvalue provide a possible detection criterion for various sources and the corresponding eigenvectors can be used to estimate the DOA's of multiple sources. The phase differences among the sensors are used to analytically obtain the DOA without needing any optimization operations. Simulations of field measured array data are used to confirm the proposed scheme © Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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control developments in power electronics-based distributed generators for future grid services

Control developments in power electronics-based distributed ...

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Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018)

作者： Miguel Castilla Luis García de Vicuña Jaume Miret Antonio Camacho Ramón Guzmán Dept. of Electronic Engineering Technical University of Catalonia Vilanova i la Geltrú Spain Dept. of Automatic Control Technical University of Catalonia Vilanova i la Geltrú Spain

ISBN: (纸本)9781839531330

This paper presents practical experiences in an inverter-based microgrid installed at SEPIC research laboratory (Technical University of Catalonia, Spain). These experiences validate recent developments in the control of power electronics-based distributed generators which confirm the opportunity to provide auxiliary services for the utility grid. Harmonic rejection, voltage imbalance reduction, fault-ride through capability, and voltage and frequency regulation are some of the auxiliary services designed to improve the power quality of the future grid.

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On the in-field test of embedded memories 23

On the in-field test of embedded memories

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23rd IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2017

作者： Bernardi, P. Restifo, M. Sanchez, E. Reorda, M. Sonza Politecnico di Torino Dept. of Control and Computer Engineering Italy

ISBN: (纸本)9781538603512

In-field test of electronic devices is becoming increasingly important due to the wide adoption of electronic systems in safety-critical applications. Hence, it is crucial to devise and deploy effective solutions supporting the test during the operational phase of all the components of an electronic system, including the memory modules embedded in a SoC. Some key aspects include the possible reuse of HW infrastructures introduced for end-of-manufacturing test, the need for limited intrusiveness with respect to the application, and the achievable defect coverage. The paper discusses the main challenges in this area and possible solutions, as well as future trends. © 2017 IEEE.

关键词： System-on-chip

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Geometric nonlinear damper design-A frequency based approach 3

Geometric nonlinear damper design-A frequency based approach

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3rd IEEE International Conference on Electro-Technology for National Development, NIGERCON 2017

作者： Uchenna, Diala Okafor, K.C. Zi-Qiang, Lang Dept. of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom Dept. of Mechatronics Engineering Federal University of Technology Owerri Nigeria

ISBN: (纸本)9781509064229

In this study, the vibration transmissibility of a single-degree-of-freedom (SDOF) with a linear damper having a configuration perpendicular to a linear vertical spring is analyzed using a nonlinear frequency analysis method. The concept of the output frequency response function (OFRF) is employed to derive an explicit polynomial relationship between the system output response (relative displacement of the mass) and the parameter of interest which is the nonlinear damping coefficient. With the derived OFRF polynomial, various damping parameters were designed for desired output responses. © 2017 IEEE.

关键词： Degrees of freedom (mechanics)

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Active noise control with online feedback-path modeling using adaptive notch filter

Active noise control with online feedback-path modeling usin...

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International Conference on Advanced Mechatronic Systems (ICAMechS)

作者： Tao Bai Yegui Xiao Yaping Ma Jianming Ding Jianhui Lin Dept. of Management & Information Syst. Prefectural University of Hiroshima Japan Dept. of Automatic Testing & Control Harbin Institute of Technology Harbin China Dept. of Mechnical Engineering Southwest Jiaotong University Chengdu China

The feedback path (FBP) compensation has been a research topic in the field of active noise control (ANC) for decades and a number of offline and online FBP modeling techniques have been proposed in the literature. In this paper, a novel ANC system equipped with an online FBP modeling (FBPM) and neutralization (FBPMN) subsystem is proposed. The new system consists of three adaptive subsystems, namely 1) ANC controller with only two weights for each frequency target, 2) second-order adaptive IIR notch filter, and 3) an FBPMN filter. It yields very promising performance for narrowband noise signals generated by rotating machines such as fans, motors, large-scale strandcutters, etc. An auxiliary white Gaussian noise is injected into the ANC system to implement the FBPMN, which is scaled by a function of the residual noise to reduce its contribution to the residual noise power. Extensive simulations with synthetic/real secondary paths reveal that the proposed ANC scheme ensures excellent noise reduction performance as well as practically attractive computational efficiency.

关键词： AWGN Finite impulse response filters Noise reduction Adaptive systems Computational modeling Convergence Adaptation models

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Online Adaption of Motion Paths to Time-Varying Constraints using Homotopies

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IFAC-PapersOnLine 2017年第1期50卷 3331-3337页

作者： Kontny D. Stursberg O. Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel Germany

This paper presents a method for optimal point-to-point control of linear discrete-time systems with time-varying non-convex state constraints, as arising for problems of avoiding moving obstacles. While common approaches like MPC with mixed-integer programming (MIP) can quickly become time-demanding, the presented approach efficiently computes circumventing near-optimal trajectories by using homotopy properties. In a first step, a range of offline selected trajectories is used to span a region of homotopic trajectories, for which the transitioning behavior between these is determined by semi-definite programming (SDP). The online part then determines with low computational effort a collision-free and near-optimal homotopic trajectory. The procedure maps the moving obstacles for relevant collision-critical time steps into the homotopy space, and determines a suitable trajectory by a tree-search of moderate size. The circumventing trajectories and the resulting computation times are illustrated by simulation. © 2017

关键词： constrained control model predictive control non-convex optimization obstacle avoidance optimal trajectory Real-time control

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Verification code recognition based on active and deep learning

arXiv

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arXiv 2019年

作者： Xu, Dongliang Wang, Bailing Du, XiaoJiang Zhu, Xiaoyan Guan, Zhitao Yu, Xiaoyan Liu, Jingyu School of Computer Science and Technology Shandong University Weihai China School of Computer Science and Technology Harbin Institute of Technology Weihai China Department of Computer and Information Sciences Temple University PhiladelphiaPA United States Computer information center Xidian University Xi'an China School of Control and Computer Engineering North China Electric Power University Beijing China Dept. of Computer Science and Technology Capital Normal University Beijing China Computer information center Intermediate People's Court Weihai China

A verification code is an automated test method used to distinguish between humans and computers. Humans can easily identify verification codes, whereas machines cannot. With the development of convolutional neural networks, automatically recognizing a verification code is now possible for machines. However, the advantages of convolutional neural networks depend on the data used by the training classifier, particularly the size of the training set. Therefore, identifying a verification code using a convolutional neural network is difficult when training data are insufficient. This study proposes an active and deep learning strategy to obtain new training data on a special verification code set without manual intervention. A feature learning model for a scene with less training data is presented in this work, and the verification code is identified by the designed convolutional neural network. Experiments show that the method can considerably improve the recognition accuracy of a neural network when the amount of initial training data is small. Copyright © 2019, The Authors. All rights reserved.

关键词： Testing

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Application of the Generalized Demodulation Time-Frequency Analysis Method to Vibration Signals Under Varying Speed

Application of the Generalized Demodulation Time-Frequency A...

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International Conference on Image, Vision and Computing (ICIVC)

作者： Yan Li Li Du Dept. Computer Liaoning Equipment Manufacturing Vocational and Technical College Shenyang China Dept. Control Science and Engineering Shenyang University Shenyang China

ISBN: (纸本)9781538649923

Instantaneous frequency is a primary parameter used for analyzing vibration signals of rolling bearings under harsh working conditions, which contains rich information besides the rotating speeds of the shaft. Such vibration signals exhibits characteristics of non-stationary and multi-components. The generalized demodulation time-frequency analysis approach is a novel signal processing method, which is suitable for processing non-stationary and multi-component signals. Its novelty lies in that the signal whose time-frequency distributions are curved paths can be transformed into that whose time-frequency distributions are linear paths paralleling time axis by using generalized demodulation. In this paper, to deal with the vibration signals under variable working speed condition, the generalized demodulation as well as a band-pass filter is used to separate the interested component from original vibration signal. The analysis results demonstrate the validity of the proposed approach.

关键词： Time-frequency analysis Demodulation Vibrations Rolling bearings Frequency estimation Transforms

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Conducting Online Lab Experiments with Blockly

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IFAC-PapersOnLine 2017年第1期50卷 13474-13479页

作者： Galan, Daniel Heradio, Ruben de la Torre, Luis Dormido, Sebastian Esquembre, Francisco Dept. of Computer Science and Automatic Control Universidad Nacional de Educación a Distancia Juan del Rosal 16 MadridE-28040 Spain Dept. of Software Engineering and Computer Systems Universidad Nacional de Educación a Distancia Juan del Rosal 16 MadridE-28040 Spain Dept. of Mathematics Universidad de Murcia Campus de Espinardo MurciaE-30071 Spain

Laboratory experimentation plays an essential role in control education. To reduce the high costs of maintaining apparatus in traditional labs and to support distance and blended learning, online laboratories are used as a possible alternative to conventional hands-on labs. In these labs it is often desirable to allow students to define their own experiments. This paper presents the definition and implementation of a generic experimentation language for conducting automatic experiments on existing online laboratories. The main objective is to use an online lab, created independently, as a component in which users can perform experiments. To achieve it, authors present the Experiment Application. It is composed by Blockly, to define and design the experiments, and Google Chart, review and visualize the experiment results. This tool offers benefits to students, teachers and, even, lab designers. For the moment, it can be used with any existing lab or simulation created with the authoring tool Easy Java(script) Simulations. Since there are repositories with hundreds of free available labs created with this tool, the potential applicability of the described tool is considerable. To illustrate the utility of the Experiment Application a very well-known system is used: the Simple Harmonic Oscillator system. © 2017

关键词： computer software Experiments Research laboratories Teaching Blockly Easy java(script) Simulations Experimentation Language Javascript Remote laboratories Virtual laboratories

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Detection and Tracking of Astral Microtubules in Fluorescence Microscopy Images

Detection and Tracking of Astral Microtubules in Fluorescenc...

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IEEE International Conference on Image Processing

作者： Joshua Levine Marco Grangetto Marilena Varrecchia Gabriella Olmo Computer Science dept. Università degli Studi di Torino Torino Italy Dept. of Control and Computing Engineering Politecnico di Torino Torino Italy

In this paper we explore detection and tracking of astral micro-tubules, a sub-population of microtubules which only exists during and immediately before mitosis and aids in the spindle orientation by connecting it to the cell cortex. Its analysis can be useful to determine the presence of certain diseases, such as brain pathologies and cancer. The proposed algorithm focuses on overcoming the problems regarding fluorescence microscopy images and microtubule behaviour by using various image processing techniques and is then compared with three existing algorithms, tested on consistent sets of images.

关键词： Microscopy Standards Image segmentation Signal to noise ratio Heuristic algorithms Fluorescence Drugs

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