This paper proposes a method for color gradient computation applied to morphological segmentation of color images. The weighted gradient (with weights estimated automatically), proposed in this paper, applied in conju...
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作者：
Žarko, DamirBan, DragoLipo, Thomas A.University of Zagreb
Faculty of Electrical Engineering and Computing Department of Electrical Machines Drives and Automation Unska 3 HR-10000 Zagreb Croatia University of Wisconsin-Madison
Department of Electrical and Computer Engineering 2557 Engineering Hall 1415 Engineering Drive Madison WI 53706-1691 United States
A multiobjective optimization procedure for the design of interior PM motors based on Differential Evolution algorithm is presented. A comparative analysis has been carried out for the optimized 5 kW, 50 kW and 200 kW...
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ISBN:
(纸本)9075815085
A multiobjective optimization procedure for the design of interior PM motors based on Differential Evolution algorithm is presented. A comparative analysis has been carried out for the optimized 5 kW, 50 kW and 200 kW IPM motors with two and three layers of cavities in the rotor to show design tradeoffs between goals to minimize the motor volume while maximizing the power output in the field weakening regime with the back emf constraint as the main limiting factor in the design. The finite element method has been used to calculate the motor parameters during the optimization process. The effectiveness of the proposed design methodology has been shown on a 1.65 kW IPM motor with two layers of cavities in the rotor for which a prototype has been built and tested.
Based on the exponential possibility model, the possibility theoretic clustering algorithm is proposed in this paper. The new algorithm is distinctive in determining an appropriate number of clusters for a given datas...
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An environment targeted to e-learning is presented for teaching advanced test issues in digital electronics. Digital circuits and systems are getting more and more complex, and in the same time the requirements for th...
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In this paper, we present an overview of previously published approaches to dynamic modeling of current programmed converters, including basic low-frequency averaged models, as well as treatments of sampling and alias...
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This paper firstly concisely introduces the research background of simulation grid, then combined with authors' ongoing project on simulation grid, the phased research achievements of simulation grid project are i...
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The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive a...
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The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive and robust control. In this paper, discrete direct adaptive control of unknown non-linear SISO systems is considered. The controller is implemented using a fuzzy neural network. The control concept is tested on a laboratory pilot plant and compared to a standard discrete PID Takahashi controller
Recognizing behaviors is an important step for learning by imitation. Learning by imitation, in the other hand, is considered as a method to acquire complex behaviors and as a way to provide seeds for further learning...
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Recognizing behaviors is an important step for learning by imitation. Learning by imitation, in the other hand, is considered as a method to acquire complex behaviors and as a way to provide seeds for further learning. In this paper the problem of recognizing behaviors in a robot soccer game is addressed. A behavior is a sequence of actions, which are situations intentionally produced by a robot. This approach is based on soccer games observation. When observing a soccer game, the observer can only recognize situations. This is because he doesn't know if the robot wanted to do it or not. Each situation can be part of a complex behavior, thus, it is important to find patterns in the set of situations for each robot. In this paper is showed that an accurate inference engine, for recognizing situations, can be made with fuzzy logic, and, behaviors patterns can be recognized with self organization maps. Recognized situations are also useful to build a robot soccer game commentator.
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