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ACOUSTIC ECHO REDUCTION ROBUST AGAINST ECHO-PATH CHANGE WITH INSTANT ECHO-POWER-LEVEL ADJUSTMENT

ACOUSTIC ECHO REDUCTION ROBUST AGAINST ECHO-PATH CHANGE WITH...

引用

European Signal Processing Conference

作者： Masahiro Fukui Suehiro Shimauchi Yusuke Hioka Hitoshi Ohmuro Yoichi Haneda NTT Media Intelligence Laboratories NTT Corporation Department of Electrical and Computer Engineering University of Canterbury Faculty of Informatics and Engineering The University of Electro-Communications

This paper proposes a new method of residual echo reduction (ER) to track abrupt increases in the residual echo. The method assumes that the spectral structure of the residual echo is maintained even if the residual echo abruptly increases;then, estimates only of the echo power level can be made in a short observation time. The proposed method instantaneously obtains the echo power level by focusing on all frequency-spectral components, and recalculates the echo component using bother the obtained power level and the spectral structure estimated with the conventional method. The outstanding performance of the proposed method is demonstrated through objective and subjective experiments. The results revealed that the degradation in speech quality was mitigated even if the echo power level increased during the double-talk periods.

关键词： Acoustic echo canceller Residual echo STSA-based echo reduction Echo-path change

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EVALUATION OF MICROPHONE ARRAY BASED ON DIFFUSED SENSING WITH VARIOUS FILTER DESIGN METHODS

EVALUATION OF MICROPHONE ARRAY BASED ON DIFFUSED SENSING WIT...

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European Signal Processing Conference

作者： Kenta Niwa Yusuke Hioka Kazunori Kobayashi Ken'ichi Furuya Yoichi Haneda NTT Media Intelligence Laboratories Department of Electrical and Computer Engineering University of Canterbury Faculty of Engineering Oita University Graduate School of Informatics and Engineering The University of Electro-Communications

We investigated methods for achieving sharp directivity over a broad frequency range by using a multichannel inverse filter. We previously proposed the diffused sensing method for segregating sound sources by decorrelating the transfer functions of each sound source by placing an array in a diffused acoustic field. Because many transfer functions must be measured in advance in our previous method, we discuss how to achieve sharp directivity based on diffused sensing using only a few pre-measurements. As a physical phenomenon, transfer functions are expected to be decorrelated automatically in a diffused acoustic field. By exploiting this property, we found that sharp directivity could be achieved with the multichannel inverse filter, which dereverberates the target paths only. Through simulations, we show that to achieve sharp directivity, the length of the multichannel inverse filter should be the same as the impulse response length.

关键词： Microphone array Beamforming Transfer function Diffuse acoustic field Multichannel inverse filter

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Supervisory Model Predictive Control for Freeway Traffic Systems

Supervisory Model Predictive Control for Freeway Traffic Sys...

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IEEE Annual Conference on Decision and Control

作者： Antonella Ferrara Simona Sacone Silvia Siri Dept. of Electrical Computer and Biomedical Engineering University of Pavia Italy Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy

ISBN: (纸本)9781467357159

The application of Model Predictive Control schemes to real world complex plants, such as freeway traffic systems, is sometimes limited because of the necessity of tuning the control action depending on the system operating condition, and the significant computational burden inherent to the methodology. The MPC-based scheme presented in this paper aims at overcoming the mentioned limitations by using a supervisory control approach. The supervisor, at each time step, chooses among three possible actions: i) the controller needs to be changed and the new control action is computed, ii) no change is made to the controller, but it is necessary to recompute the control action, iii) neither is the controller varied, nor it is necessary to recompute the control action and the already determined control law is kept. In other terms, the control sequence is recomputed according to an event-triggered mechanism in which the control action is properly tuned to the system conditions. In the paper, the proposed control scheme is developed with reference to a class of non-linear systems admitting a model of Mixed Logical Dynamical type, which is suitable to describe freeway traffic systems, and the input-to-state practical stability of the controlled system is proved. Finally, the application of the proposed control scheme to a freeway traffic system is discussed and studied via simulation.

关键词： Traffic control Monitoring Vectors Switches Supervisory control Stability analysis

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Sophisticated Honeypot mechanism - the autonomous hybrid solution for enhancing computer system security

Sophisticated Honeypot mechanism - the autonomous hybrid sol...

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International Symposium on Applied Machine Intelligence and informatics (SAMI)

作者： Liberios Vokorokos Peter Fanfara Ján Radušovský Peter Poór Department of Computer and Informatics Faculty of Electrical Engineering and Informatics Technical University of Košice Kosice Slovakia Department of Industrial Engineering and Management University of West Bohemia Plzen Czech Republic

computer system security is one of the most popular and the fastest evolving Information Technology (IT) areas. Protection of information access, availability and data integrity represents the basic security characteristics desired on information sources. Any disruption of these properties would result in system intrusion and the related security risk. Advanced decoy based technology called Honeypot has a huge potential for the security community and can achieve several goals of other security technologies, which makes it almost universal. Paper is devoted to sophisticated hybrid Honeypot with autonomous feature that allows to, based on the collected system parameters, adapt to the system of deployment. By its presence Honeypot attracts attacker by simulating vulnerabilities and poor security. After initiation of interaction Honeypot will record all attacker activities and after data analysis allows improving security in computer systems.

关键词： Servers computer architecture computers Databases Intrusion detection Monitoring

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Nested-loop neural network vector control of permanent magnet synchronous motors

Nested-loop neural network vector control of permanent magne...

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International Joint Conference on Neural Networks (IJCNN)

作者： Shuhui Li Michael Fairbank Xingang Fu Donald C. Wunsch Eduardo Alonso Department of Electrical & Computer Engineering The University of Alabama Tuscaloosa AL USA School of Informatics City University London UK Department of Electrical & Computer Engineering Missouri University of Science and Technology Rolla MO USA

ISBN: (纸本)9781467361279

With the improvement of battery technology over the past two decades and automotive technology advances, more and more vehicle manufacturers have joined in the race to produce new generation of affordable, high-performance Electric Drive Vehicles (EDVs). Permanent Magnet Synchronous Motors (PMSMs) are at the top of AC motors in high performance drive systems for EDVs. Traditionally, a PMSM is controlled with standard decoupled d-q vector control mechanisms. However, recent studies indicate that such mechanisms show serious limitations. This paper investigates how to mitigate such problems using a nested-loop neural network architecture to control a PMSM. The neural network implements a dynamic programming algorithm and is trained using backpropagation through time. The performance of the neural controller is studied for typical vector control conditions and compared with conventional vector control methods, which demonstrates the neural vector control strategy proposed in this paper is effective. Even in a highly dynamic switching environment, the neural vector controller shows strong ability to track rapidly changing reference commands, tolerate system disturbances, and satisfy control requirements for complex EDV drive needs.

关键词： Artificial neural networks Permanent magnet motors Machine vector control Training Voltage control Trajectory Torque

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APPLICATION OF THE SAMPLE-CONDITIONED MSE TO NON-LINEAR CLASSIFICATION AND CENSORED SAMPLING

APPLICATION OF THE SAMPLE-CONDITIONED MSE TO NON-LINEAR CLAS...

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European Signal Processing Conference

作者： Lori A. Dalton Department of Electrical and Computer Engineering and Department of Biomedical Informatics The Ohio State University Columbus OH USA ABSTRACT

ISBN: (纸本)9781479936878

Phenotype discrimination problems in biomedicine typically classify between types of pathology, stages of disease, response to treatment or survivability. In contrast to the usual heuristic classifier and error estimate computed from small sample data, recent work proposes a Bayesian modeling framework over an uncertainty class of feature-label distributions, which when combined with data facilitates optimal MMSE error estimation, optimal classifier design and a sample-conditioned MSE for error estimation analysis, all relative to uncertainty in the underlying distributions conditioned on the sample. Here we address application of the conditional MSE to non-linear classifiers and present an example with optimal Bayesian classification and censored sampling, an economical sampling procedure in which data are collected incrementally until desired criteria are met.

关键词： Bayesian estimation minimum mean-square error classification error genomics small samples

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Low-Cost Neuro-Fuzzy Control Solution for Servo Systems with Variable Parameters

Low-Cost Neuro-Fuzzy Control Solution for Servo Systems with...

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IEEE International Conference on Computational lntelligence and Virtual Environments for Measurement Systems and Applications

作者： Alexandra-Iulia Stinean Stefan Preitl Radu-Emil Precup Claudia-Adina Dragos Mircea-Bogdan Radac Emil M. Petriu Department of Automation and Applied Informatics "Politehnica" University of Timisoara School of Electrical Engineering and Computer Science University of Ottawa

ISBN: (纸本)9781467347020

This paper treats the design and implementation of a low-cost neuro-fuzzy control solution for a class of servo systems with an integral component and variable parameters. A hybrid Takagi-Sugeno PI-neuro-fuzzy controller (T-S PI-N-FC) is proposed and presented along with its relatively simple design approach. The solution carries out the on-line adaptation of a single parameter of the input membership functions of a Takagi-Sugeno PI-fuzzy controller with input integration (T-S PI-FC-II) by a single neuron trained by back propagation with momentum factor in the framework of a model reference adaptive controller structure. The second parameter of the input membership functions is tuned by the modal equivalence principle. Linear matrix inequalities are proposed as sufficient stability conditions to be fulfilled by the parameters of the rule consequents of the T-S PI-FC-II in order to guarantee the stable design of the hybrid T-S PI-N-FC. The solution is validated by a case study using a set of three process parameters that correspond to a strip winding system laboratory equipment. Digital simulation results and experimental results are given.

关键词： Integral component Linear matrix inequalities Servo systems Takagi-Sugeno PI neuro-fuzzy controllers Variable parameters Servo systems variable parameter integral component linear matrix inequalities Membership functions DESIGN CRITERIA

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Optimal locally repairable codes with local minimum storage regeneration via rank-metric codes

Optimal locally repairable codes with local minimum storage ...

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Information Theory and Applications Workshop, ITA

作者： Ankit S. Rawat Natalia Silberstein O. Ozan Koyluoglu Sriram Vishwanath Laboratory of Informatics Networks and Communications Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

This paper presents a new explicit construction for locally repairable codes (LRCs) for distributed storage systems. The codes possess all-symbols locality and maximal possible minimum distance, or equivalently, can tolerate the maximal number of node failures. This construction, based on maximum rank distance (MRD) Gabidulin codes, provides minimum distance optimal vector and scalar LRCs for a wide range of parameters. In addition, vector LRCs that allow for efficient local repair of failed nodes are considered. Towards this, the paper derives an upper bound on the amount of data that can be stored on DSS employing minimum distance optimal LRCs with given repair bandwidth, and presents codes which attain this bound by combining MRD and minimum storage regenerating (MSR) codes.

关键词： Maintenance engineering Vectors Decision support systems Bandwidth Upper bound Arrays Encoding

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Multi-Robot GSA- and PSO-Based Optimal Path Planning in Static Environments

Multi-Robot GSA- and PSO-Based Optimal Path Planning in Stat...

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Workshop on Robot Motion and Control

作者： Constantin Purcaru Radu-Emil Precup Daniel Iercan Lucian-Ovidiu Fedorovici Emil M. Petriu Emil-Ioan Voisan "Politehnica" University of Timisoara Department of Automation and Applied Informatics University of Ottawa School of Electrical Engineering and Computer Science

ISBN: (纸本)9781467355094

This paper discusses new optimal path planning algorithms based on a Gravitational Search Algorithm (GSA) and on a Particle Swarm Optimization (PSO) algorithm applied to multiple mobile robots on holonomic wheeled platforms. Four path planning objectives are aggregated in the definition of a set of separate optimization problems for each robot. Each optimization problem involves a single scalar objective function (o.f.) expressed as the weighted sum of four o.f.s. The GSA and the PSO algorithm solve the optimization problems aiming the minimization of the o.f.s, and the path planning algorithms transform the solutions to the optimization problems into optimal solutions as optimal paths. The GSA-and PSO-based path planning algorithms are validated by several experiments with multiple robots that participate in missions.

关键词： Path planning GSA optimal path Cooperating robots weight sums Mobile robots Religious Missions optimal solution parametric subharmonic oscillator

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Constrained Data-Driven Controller Tuning for Nonlinear Systems

Constrained Data-Driven Controller Tuning for Nonlinear Syst...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Mircea-Bogdan Radac Radu-Emil Precup Stefan Preitl Claudia-Adina Dragos Emil M. Petriu Department of Automation and Applied Informatics "Politehnica" University of Timisoara School of Electrical Engineering and Computer Science University of Ottawa

ISBN: (纸本)9781479902255

This paper proposes a data-driven algorithm that solves an optimal control problem by iteratively tuning the controller. The data-driven algorithm solves the optimization problem for a nonlinear process with a linear controller, accounting for operational constraints and employing an interior-point barrier (IPB) algorithm. The search process in the IPB algorithm requires first-order information which is generated using identified models via neural networks in order to reduce the number of experiments. A case study which deals with the angular position control of a nonlinear aerodynamic system is included to validate the new algorithm by simulation results.

关键词： Constrained optimization Data-driven controller tuning Interior-point barrier algorithm Iterative Feedback Tuning Neural networks Nonlinear systems Nonlinear systems Constrained optimization Neural network data driven controller tuning Search process algorithms

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