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Power management by brain emotional learning algorithm

Power management by brain emotional learning algorithm

引用

International Conference on ASIC

作者： Mehrzad Samadi Ali Afzali-Kusha Caro Lucas Nanoelectronics Center of Exellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Nowadays having the most energy efficiency is desirable in its own right from both economical and environmental points of view. Dynamic power management is a system level solution for reducing the consumed energy with putting off unused parts of the system and putting them on in an efficient time. The Emotional Learning Algorithm has been introduced to show the effect of emotions as well known stimuli in the quick and almost satisfying decision making in human. The remarkable properties of emotional learning, low computational complexity and fast training, and its simplicity in multi objective problems has made it a powerful methodology in real time control and decision systems, where the gradient based methods and evolutionary algorithms are hard to be used due to their high computational complexity. Recently the emotional approach has been successfully used to obtain multiple objectives in prediction problems of real world phenomena. At first we introduce methods of dynamic power management and then a new method based on BELBIC would be explained. The simulation results show that this method has a high efficiency in various systems.

关键词： Energy management Power system management Computational complexity Energy efficiency Power system economics Power generation economics Economic forecasting Environmental economics Decision making Humans

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Power Management by Brain Emotional Learning Algorithm

Power Management by Brain Emotional Learning Algorithm

引用

2007 7th International Conference on ASIC Electronic Version(ASICON 2007)

作者： Mehrzad Samadi Ali Afzali-Kusha Caro Lucas Nanoelectronics Center of Exellence School of Electrical and Computer Engineering University of Tehran TehranIran Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran TehranIran

Nowadays having the most energy efficiency is desirable in its own right from both economical and environmental points of *** power management is a system level solution for reducing the consumed energy with putting off unused parts of the system and putting them on in an efficient *** Emotional Learning Algorithm has been introduced to show the effect of emotions as well known stimuli in the quick and almost satisfying decision making in *** remarkable properties of emotional learning,low computational complexity and fast training,and its simplicity in multi objective problems has made it a powerful methodology in real time control and decision systems,where the gradient based methods and evolutionary algorithms are hard to be used due to their high computational *** the emotional approach has been successfully used to obtain multiple objectives in prediction problems of real world *** first we introduce methods of dynamic power management and then a new method based on BELBIC would be *** simulation results show that this method has a high efficiency in various systems.

关键词： Power Management by Brain Emotional Learning Algorithm

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Experimental quantum key distribution with active phase randomization

Experimental quantum key distribution with active phase rand...

引用

Quantum Electronics and Laser Science Conference (QELS)

作者： Yi Zhao Bing Qi Hoi-Kwong Lo Department of Physics and Department of Electrical and Computer Engineering Center for Quantum Information and Quantum Control Toronto ONT Canada

Phase-randomization is an important assumption in many security proofs of practical quantum key distribution (QKD) systems. Here, we present the first experimental QKD with reliable active phase-randomization. A polar... 详细信息

ISBN: (纸本)9781424436484

关键词： Pulse modulation Phase modulation Optical fiber polarization Quantum computing Optical pulse generation Security Mirrors Optical modulation Optical fiber cables Random number generation

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One-way continuous-variable quantum key distribution over 5km of standard telecom fiber

One-way continuous-variable quantum key distribution over 5k...

引用

Quantum Electronics and Laser Science Conference (QELS)

作者： Lei-Lei Huang Bing Qi Li Qian Hoi-Kwong Lo Department of Electrical and Computer Engineering and Department of Physics Center for Quantum Information and Quantum Control Toronto ONT Canada

We report the first experimental demonstration of one-way Gaussian-modulated coherent state quantum key distribution system over kilometers of standard telecom fiber. Under realistic assumptions, the achievable secret... 详细信息

ISBN: (纸本)9781424436484

关键词： Telecommunication standards Quantum computing Detectors Pulse modulation Protocols Phase measurement Phase detection control systems Gaussian processes Security

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Modulation identification using combined classifiers and co-evolution of classifiers and tests

Modulation identification using combined classifiers and co-...

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International Conference on Information Fusion

作者： M. Mirmomeni B. Moshiri C. Lucas Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

ISBN: (纸本)9780662478300;0662478304

Nowadays, there are considerable attentions to combined classifier. Recently, the focus has been shifting from practical heuristic solutions of combination methods to give a methodological way of design. In this study a co-evolutionary algorithm is presented for this purpose. The algorithm synthesizes an explicit classifier directly from bserved data produced by intelligently generated tests. The algorithm is composed of two co-evolving populations; one population evolves candidate classifiers. The second population evolves informative tests that either extract new information from the pattern or elicit desirable behavior from it The fitness of candidate classifiers is their ability to classify in response to all tests carried out so far; the fitness of candidate tests is their ability to make the classifiers disagree in their classifications. The generality of this modeling-evaluation algorithm is demonstrated by applying the chosen classifier of this algorithm to identify modulation methods and results depict the power of this algorithm.

关键词： Testing Process control Intelligent control Pattern recognition Inference algorithms Evolutionary computation Focusing Design methodology Data mining Power generation

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Uniting local and global output feedback controllers

Uniting local and global output feedback controllers

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作者： Prieur, Christophe Teel, Andrew R. LAAS-CNRS 7 Avenue du Colonel Roche 31077 Toulouse Cedex 4 France Center for Control Dynamical Systems and Computation Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106-9560 United States

ISBN: (纸本)9783902661289

We consider control systems for which we know two stabilizing output feedback controllers. One is globally asymptotically stabilizing, while the other one is only locally asymptotically stabilizing. We look for a composite output feedback control law that is equal to the local feedback on a neighborhood of the origin and that is globally asymptotically stabilizing. We insist on using only output feedback controllers to solve this uniting problem. Since we want some robustness with respect to measurement noise, actuator errors and external disturbances, we consider hybrid output feedback controllers, following recent developments in the literature on robustness in hybrid systems. Under an input-output-to-state stability assumption, we exhibit a solution of this uniting problem by means of a dynamic hybrid output feedback controller. Copyright © 2007 IFAC.

关键词： Hybrid systems

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Frequency Response Analysis of Active Disturbance Rejection Based control System

Frequency Response Analysis of Active Disturbance Rejection ...

引用

IEEE Conference on control Technology and Applications (CCTA)

作者： Gang Tian Zhiqiang Gao Center for Advanced Control Technologies Department of Electrical and Computer Engineering Cleveland State University Cleveland OH USA

Active Disturbance Rejection is a relatively new, and quite different, design concept that shows much promise in obtaining consistent response in an industrial control system full of uncertainties. But most of the development and analysis has previously been shown in the time-domain. In this paper, frequency-domain analysis of such a control system is performed to quantify its performance and stability characteristics. The transfer function description of the controller is derived and, together with a highly uncertain linear time-invariant plant, the loop gain frequency response is analyzed. The result shows that the active disturbance rejection based control system possesses a high level of robustness. The bandwidth and stability margins, in particular, are nearly unchanged as the plant parameters vary significantly; so is the sensitivity to input disturbance. Such characteristics makes this control system an appealing solution in dealing with real world control problems where uncertainties abound.

关键词： Frequency response control systems Uncertainty Industrial control Time domain analysis Frequency domain analysis Stability analysis Transfer functions Robust control Bandwidth

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User Modeling for the Result Re-Ranking in the Meta-Search Engines via Reinforcement Learning

User Modeling for the Result Re-Ranking in the Meta-Search E...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Amir Hosein Keyhanipour Behzad Moshiri Caro Lucas Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Department University of Tehran Tehran Iran

Today there are thousands of search engines available, so it is difficult for users to know where they are, how to use them and what topics they best address. Meta-search engines reduce the users' burden by dispatching queries to multiple search engines in parallel and combining the returned results. But there are some problems yet. One of them is that, none of them includes the user model in the answer. In this paper, we propose a mechanism to create a mapping between different categories of users and the underlying search engines using the reinforcement learning approach. By this way, the meta-search engine learns to identify which search engines are most appropriate for particular queries from different user models.

关键词： Metasearch Learning Databases Search engines Information retrieval Intelligent systems Application software Process control Intelligent control Design engineering

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Decoy state protocols for quantum cryptography with parametric down conversion sources

Decoy state protocols for quantum cryptography with parametr...

引用

International Quantum Electronics Conference, IQEC 2007

作者： Ma, Xiongfeng Fung, Chi-Hang Fred Lo, Hoi-Kwong Center for Quantum Information and Quantum Control Department of Electrical and Computer Engineering University of Toronto Toronto ON M5S 1A7 Canada Department of Physics University of Toronto Toronto ON M5S 1A7 Canada

No abstract available

ISBN: (纸本)1424409306

No abstract available

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Decoy state protocols for quantum cryptography with parametric down conversion sources

Decoy state protocols for quantum cryptography with parametr...

引用

Conference on Lasers and Electro-Optics Europe (CLEO EUROPE)

作者： Xiongfeng Ma Chi-Hang Fred Fung Hoi-Kwong Lo Center for Quantum Information and Quantum Control Department of Electrical & Computer Engineering and Department of Physics University of Toronto Toronto ONT Canada

In this paper, we show that decoy states are very simple to implement for quantum key distribution (QKD) with parametric down conversion (PDC) sources. Indeed, with no modification in the hardware at all, by using the AYKI scheme, one can achieve a key generation rate that is close to the theoretical limit of infinite decoy states. Therefore, we expect decoy state QKD to become a standard technique not only in the coherent state QKD, but also in QKD with PDC sources.

关键词： Cryptographic protocols Cryptography Quantum computing Security Hardware Proposals Optical control Distributed computing Optical computing Physics computing

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