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Modular-Based Classifier for Phoneme Recognition

Modular-Based Classifier for Phoneme Recognition

引用

IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： Abbas Ahmadi Fakhri Karray Mohamed Kamel Systems Design Engineering Department Pattern Analysis and Machine Intelligence Laboratory Waterloo ONT Canada Electrical and Computer Engineering Department Pattern Analysis and Machine Intelligence Laboratory Waterloo ONT Canada

This paper proposes a modular-based classifier for the problem of phoneme recognition. This is carried out by the use of a two-level classification approach including, high and low levels. We propose a new concept called phoneme family. To obtain phoneme families, we employ k-mean clustering method. A given unknown phoneme is first classified into a phoneme family at high level classification. Then, the exact label of the phoneme is determined at low level classification. We have used a combined framework of statistical and neural network based classifiers. Encouraging results are obtained by applying the proposed method on TIMIT database and its performance is compared against other methods

关键词： Neural networks Speech recognition Recurrent neural networks Pattern recognition Design engineering Databases Network topology Signal processing Information technology Pattern analysis

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A Leader-based Containment Control Strategy for Multiple Unicycles

A Leader-based Containment Control Strategy for Multiple Uni...

引用

IEEE Conference on Decision and Control

作者： Dimos V. Dimarogonas Magnus Egerstedt Kostas J. Kyriakopoulos Systems Laboratory Department of Mechanical Engineering Laboratory National and Technical University of Athens Zografou Greece School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)1424401704;9781424401703

In this paper, a leader based containment control strategy for multiple unicycle agents is introduced. Similar results for the single integrator case examined in Ferrari-Trecate (2006) are derived based on the theory of partial difference equations on graphs established in Bensounssan and Menaldi (2005). The leaders converge to a desired formation based on a control law that is independent of the followers' states. Once the leaders have reached the desired formation, the followers converge to the convex hull of the leaders final positions. When the desired leader formation is infeasible, then (as was shown in Dimarogonas and Kyriakopoulos (2006)) the leaders converge to a configuration where they share the same velocities and orientations. We show in this paper that in such a situation, the followers converge to the same velocities and orientations as the leaders, with the same control law that was used for the followers in the initial containment control problem. The theoretical results are verified through computer simulations

关键词： Velocity control Control systems Control design Convergence Difference equations Mobile robots Unmanned aerial vehicles Kinematics USA Councils computer simulation

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Empirical Study of an Unconstrained Modified Particle Swarm Optimization

Empirical Study of an Unconstrained Modified Particle Swarm ...

引用

Congress on Evolutionary Computation

作者： P.W. Moore G.K. Venayagamoorthy The Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

In this paper, an unconstrained modified particle swarm optimization (UMPSO) algorithm is introduced and studied empirically. Four well known benchmark functions, with asymmetric initial position values, are used as testing functions for the UMPSO algorithm. The UMPSO is a variation of the canonical PSO in which the velocity and position is unconstrained, an additional strategic component is added, and the social component term has been modified. The strategy component is used instead of varying parameters or mutation to enhance diversity in the swarm during the search. The UMPSO algorithm is then compared to results obtained from the constrained canonical PSO (CPSO) and the unconstrained canonical PSO (UPSO). The results show that UMPSO algorithm with no maximum velocity and position, and no minimum velocity and position value that performs better than the CPSO and the UPSO for the Sphere, Rosenbrock, Rastrigrin, and Griewank benchmark functions.

关键词： Particle swarm optimization Birds Marine animals Genetic mutations Benchmark testing Cultural differences Educational institutions Pulse width modulation Equations Genetic algorithms

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Autonomous Load Shedding in a Nanogrid using DC Bus Signalling

Autonomous Load Shedding in a Nanogrid using DC Bus Signalli...

引用

Annual Conference of Industrial Electronics Society

作者： John Schonberger Simon Round Richard Duke Power Electronic Systems Laboratory ETH Zurich Zurich Switzerland Department of Electrical and Computer Engineering University of Canterbury Christchurch New Zealand

Including load shedding in the system control strategy for a small standalone hybrid power system such as a nanogrid is beneficial since the peak generation requirement is reduced and the system is protected from a complete collapse under overload conditions. Autonomous load shedding can be implemented in a nanogrid that uses DC bus signalling for source scheduling by shedding loads when the DC bus voltage decreases to a level that signals an overload condition. This paper explains the control requirements for the system interface converters that is required to permit load shedding and explains a procedure for implementing a prioritized load shedding scheme in a practical system. Experimental results are included to illustrate the operation of this control strategy

关键词： Hybrid power systems Power generation Control systems Power electronics Energy storage Standby generators Job shop scheduling Satellite broadcasting Voltage Power supplies

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A new protocol stack model for network on chip

A new protocol stack model for network on chip

引用

IEEE computer Society Annual Symposium on VLSI

作者： M. Dehyadgari M. Nickray A. Afzali-kusha Z. Navabi Low-Power High-Performance Nano-systems Laboratory University of Tehran Iran Department of Electrical and Computer Engineering Northeastern University USA

In this paper, we present a communication protocol for network on chip architectures which have complex packet switched communication protocols. In order to manage this complexity and advance reusability, a layered approach is taken. It is a 4-layered protocol stack including application, transaction, data-link and physical layers. Our protocol stack supports the best effort traffic as well as guaranteed bandwidth using the virtual channels which logically share the physical links. In order to evaluate the design, an HDL implementation of this protocol stack is implemented and synthesized. The results show 0.5% of a Virtex II 2VP30 FPGA is employed by our proposed protocol stack for each resource network interface

关键词： Protocols Network-on-a-chip Packet switching Communication switching Physical layer Telecommunication traffic Bandwidth Hardware design languages Network synthesis Field programmable gate arrays

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Increasing pose estimation performance using multi-cue integration

Increasing pose estimation performance using multi-cue integ...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： F. Viksten R. Soderberg K. Nordberg C. Perwass Computer Vision Laboratory Department of Electrical Engineering Linköping University Linkoping Sweden Cognitive Systems Group Computer Science Department Christian-Albrechts University Kiel Germany

We have developed a system which integrates the information output from several pose estimation algorithms and from several views of the scene. It is tested in a real setup with a robotic manipulator. It is shown that integrating pose estimates from several algorithms increases the overall performance of the pose estimation accuracy as well as the robustness as compared to using only a single algorithm. It is shown that increased robustness can be achieved by using pose estimation algorithms based on complementary features, so called algorithmic multi-cue integration (AMC). Furthermore it is also shown that increased accuracy can be achieved by integrating pose estimation results from different views of the scene, so-called temporal multi-cue integration (TMC). Temporal multi-cue integration is the most interesting aspect of this paper

关键词： Robustness State estimation computer vision Layout Cameras Voting Laboratories computer science Testing Cognitive robotics

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Power System Control with an Embedded Neural Network in Hybrid System Modeling

Power System Control with an Embedded Neural Network in Hybr...

引用

Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Seung-mook Baek Jung-wook Park Ganesh K. Venayagamoorthy Power IT and System Laboratory School of Electrical and Electronic Engineering YONSEI University Seoul South Korea Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

The output limits of the power system stabilizer (PSS) can improve the system damping performance immediately following a large disturbance. Due to non-smooth nonlinearities from the saturation limits, these values cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures can be used. A feedforward neural network (FFNN) (with a structure of multilayer perceptron neural network) is applied to identify the dynamics of an objective function formed by the states, and thereafter to compute the gradients required in the nonlinear parameter optimization. Moreover, its derivative information is used to replace that obtained from the trajectory sensitivities based on the hybrid system model with the differential-algebraic-impulsive-switched (DAIS) structure. The optimal output limits of the PSS tuned by the proposed method are evaluated by time-domain simulation in both a single machine infinite bus system (SMIB) and a multi-machine power system (MMPS)

关键词： Power system control Neural networks Hybrid power systems Power system modeling Multi-layer neural network Feedforward neural networks Power system simulation Power system analysis computing Damping Multilayer perceptrons

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Integrated information processing and communications: Complexity analysis

Integrated information processing and communications: Comple...

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IASTED International Conference on COMMUNICATION systems AND APPLICATIONS Part of the Sixth IASTED International Multi-Conference on WIRELESS AND OPTICAL COMMUNICATIONS

作者： Huyu, Qu Le, Yi Wang Yaprak, Ece Hong, Wang Yanlong, Zhao Department of Electrical and Computer Engineering Wayne State University Detroit MI 48202 United States Division of Engineering Technology Wayne State University Detroit MI 48202 United States Department of Anesthesiology Wayne State University Detroit MI 48202 United States Key Laboratory of System and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences China

Accuracy of information transmission when a signal must be transmitted through a communication channel is of essential importance in design of communication systems. When system resources are limited, such as transmission bandwidths assigned to a wireless communication channel, appropriate utility of available resources becomes imperative. This paper investigates fundamental relationships between accuracy of information exchange and communication resources, on a platform of wireless communication channels that involve typical system blocks of data compression, quantization, and stochastic wireless channels. The main complexity relationships developed in this paper provide rigorous trade-off between resource consumptions and information processing errors of each block. When these relationships are integrated, an optimization procedure emerges that allows optimal allocation of resources to each system block, such as compression ratio, quantization levels, and transmission speed, to maximize overall information accuracy. Consequently, the overall errors of the transmitted signal will be minimized at the receiver end.

关键词： Data processing

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Robust Finite Time Control of Nonlinear systems with Dynamic Uncertainty

Robust Finite Time Control of Nonlinear Systems with Dynamic...

引用

American Control Conference

作者： Yiguang Hong Zhong-Ping Jiang Institute of Systems Science Key Laboratory of Systems and Control Chinese Academy and Sciences Beijing China Department of Electrical and Computer Engineering Polytechnic University Brooklyn NY USA

In this paper, robust finite-time control problem of nonlinear systems with dynamic uncertainties is investigated. To solve this problem, a partial-state control design is proposed in a constructive way. With small-ga... 详细信息

ISBN: (纸本)1424402093

关键词： Lyapunov methods control system synthesis nonlinear control systems nonlinear dynamical systems robust control uncertain systems dynamic uncertainties finite time control finite-time stabilization input-to-state stability nonsmooth feedback partial-state

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Exploiting Data Mining Techniques for Improving the Efficiency of a Supply Chain Management Agent

Exploiting Data Mining Techniques for Improving the Efficien...

引用

Web Intelligence and Intelligent Agent Technology Workshops (WI-IAT)

作者： Andreas L. Symeonidis Vivia Nikolaidou Pericles A. Mitkas Intelligent Systems and Software Engineering Laboratory Informatics and Telematics Institute CERTH Thessaloniki Greece Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

Supply chain management (SCM) environments are often dynamic markets providing a plethora of information, either complete or incomplete. It is, therefore, evident that such environments demand intelligent solutions, which can perceive variations and act in order to achieve maximum revenue. To do so, they must also provide some sophisticated mechanism for exploiting the full potential of the environments they inhabit. Advancing on the way autonomous solutions usually deal with the SCM process, we have built a robust and highly-adaptable mechanism for efficiently dealing with all SCM facets, while at the same time incorporating a module that exploits data mining technology in order to forecast the price of the winning bid in a given order and, thus, adjust its bidding strategy. The paper presents our agent, Mertacor, and focuses on the forecasting mechanism it incorporates, aiming to optimal agent efficiency

关键词： Data mining Supply chain management Intelligent agent Delta modulation Supply chains Robustness Manufacturing Assembly Data engineering Intelligent systems

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