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2009 2nd International Conference on computer Science and Its Applications, CSA 2009

作者： Wang, Zhi-Hui Chang, Chin-Chen Chen, Yi-Hui Li, Ming-Chu School of Software Dalian University of Technology Dalian Liaoning China Department of Information Engineering and Computer Science Feng Chia University Taichung 40724 Taiwan Research Center For Information Technology Innovation Academia Sinica Taipei 115 Taiwan

ISBN: (纸本)9781424449460

Reversible data embedding is a technique widely used to embed secret data into a specific media, such as military or medical images. In the past, many researchers have applied this scheme to the vector quantization (VQ) compression technique;however, the hiding capacity remains low. This paper proposes a novel data embedding scheme with reversibility for VQ compressed images. From our experimental results, we can confirm that the proposed scheme increases the hiding capacity and maintains high bit rates. Also, the VQ compressed images can be completely restored after extracting the embedded secret data. © 2009 IEEE.

关键词： Vector quantization

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Decoherence in Adiabatic Quantum Evolution: Application to Cooper Pair Pumping

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Physical Review Letters 2010年第3期105卷 030401-030401页

作者： J. P. Pekola V. Brosco M. Möttönen P. Solinas A. Shnirman Low Temperature Laboratory Aalto University P.O. Box 13500 FI-00076 Aalto Finland Dipartimento di Fisica Universita’ di Roma “La Sapienza” Piazzale A. Moro 2 00185 Roma Italy Institut für Theoretische Festkörperphysik Karlsruhe Institute of Technology 76128 Karlsruhe Germany ISC-CNR Via dei Taurini 19 00185 Roma Italy Department of Applied Physics/COMP Aalto University P.O. Box 15100 FI-00076 Aalto Finland Australian Research Council Centre of Excellence for Quantum Computer Technology School of Electrical Engineering and Telecommunications University of New South Wales Sydney New South Wales 2052 Australia Institut für Theorie der Kondensierten Materie Karlsruhe Institute of Technology 76128 Karlsruhe Germany DFG Center for Functional Nanostructures (CFN) Karlsruhe Institute of Technology 76128 Karlsruhe Germany

One of the challenges of adiabatic control theory is the proper inclusion of the effects of dissipation. Here we study the adiabatic dynamics of an open two-level quantum system deriving a generalized master equation to consistently account for the combined action of the driving and dissipation. We demonstrate that in the zero-temperature limit the ground state dynamics is not affected by environment. As an example, we apply our theory to Cooper pair pumping, which demonstrates the robustness of ground state adiabatic evolution.

关键词： Ground state

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Qualification and quantification of fuzzy linguistic variables and fuzzy expressions

Qualification and quantification of fuzzy linguistic variabl...

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IEEE International Conference on Cognitive Informatics

作者： Yingxu Wang International Center of Cognitive Informatics (ICfCI) Theoretical and Empirical Software Engineering Research Center Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary Calgary AB Canada

One of the essences of fuzzy logic is how fuzzy variables and fuzzy expressions may be transformed into precise quantities and rigorous models in fuzzy inferences. This paper presents a denotational mathematical structure and methodology for modeling fuzzy qualifications and quantifications in cognitive informatics, soft computing, and computational intelligence. Fuzzy qualifications and quantifications for both absolute and relative measures are formally elaborated on discrete and continuous fuzzy object and expressions. In addition, the qualification for characteristic attributes of fuzzy objects is modeled. Applications of fuzzy qualifications and quantifications are illustrated using a rich set of examples and real-world cases, which enable machines to mimic complex human reasoning mechanisms in cognitive informatics, soft computing, and computational intelligence.

关键词： Qualifications Fuzzy logic Fuzzy sets Cognitive informatics Fuzzy reasoning Computational intelligence Mathematical model software engineering Drives Tin

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Fuzzy inferences methodologies for cognitive informatics and computational intelligence

Fuzzy inferences methodologies for cognitive informatics and...

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IEEE International Conference on Cognitive Informatics

A fuzzy inference is an extended form of formal inferences that enables symbolic and rigorous evaluation of the degree of a confidential level for a given causality on the basis of fuzzy expressions constructed with fuzzy sets and fuzzy logic operations. Fuzzy inferences are powerful denotational mathematical means for rigorously dealing with degrees of matters, uncertainties, and vague semantics of linguistic variables, as well as for precisely reasoning the semantics of fuzzy causalities. This paper presents a denotational mathematical framework of a set of mathematical structures of fuzzy inferences encompassing deductive, inductive, abductive, and analogical inferences. Each of the fuzzy inference processes is formally modeled and illustrated with real-world examples and cases of applications. The formalization of fuzzy inferences and methodologies enables machines to mimic complex human reasoning mechanisms in cognitive informatics, soft computing, and computational intelligence.

关键词： Cognitive informatics Computational intelligence Fuzzy logic Fuzzy sets Fuzzy reasoning Uncertainty Mathematics Boolean functions software engineering Drives

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Application of Random PWM Techniques for Reducing the Electromagnetic Interference of Vienna Rectifiers in Distribution Power System

Application of Random PWM Techniques for Reducing the Electr...

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2009 IEEE 6th International Power Electronics and Motion Control Conference-ECCE Asia

作者： Shahriyar Kaboli Amir Hossein Rajaei Aras Sheikhi Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Department of Electrical and Computer Engineering Tarbiat Modares University

Random pulse width modulation (RPWM) technique has been employed to generate the control signals of Vienna-type rectifier. This technique is compared to two conventional techniques (Hysteresis-band and ramp comparison with fix frequency carrier signal). Simulation results are illustrated for three approaches. The results verify significantly reduction of high frequency harmonics magnitude;and consequently overcome electromagnetic interference (EMI) problem in this active type of rectifier.

关键词： PWM Application of Random PWM Techniques for Reducing the Electromagnetic Interference of Vienna Rectifiers in Distribution Power System

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Realistic software cost estimation for Fractionated Space Systems

Realistic software cost estimation for Fractionated Space Sy...

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作者： Brown, A Winsor Moazeni, Ramin Boehm, Barry Center for Systems and Software Engineering University of Southern California SAL332 MC 0781 Los Angeles CA 90089-0781 United States Computer Science Department USC SAL 329 M/C 0781 United States

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Granular algebra for modeling granular systems and granular computing

Granular algebra for modeling granular systems and granular ...

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IEEE International Conference on Cognitive Informatics

作者： Yingxu Wang International Center of Cognitive Informatics (ICfCI) Theoretical and Empirical Software Engineering Research Center (TESERC)Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary Calgary AB Canada

Granular computing provides a new perspective on computing architectures and behaviors. This paper presents a recent development in denotational mathematics known as granular algebra, which enables a rigorous treatment of computing granules as a generic abstract mathematical structure and granular behaviors as a set of algebraic operations. An abstract granule is modeled as a mathematical entity that elicits a set of basic properties of computing granules. Then, a set of algebraic operations on abstract granules is defined such as the relational, reproductive, and compositional operations. A real-world case study is presented that demonstrates how concrete granules and their algebraic operations are derived based on granular algebra. This work shows that granular algebra is not only a powerful conceptual modeling methodology for granular systems, but also a functional specification methodology for granular computing.

关键词： Algebra computer architecture Mathematics Computational intelligence computer networks Distributed computing Cognitive informatics Mathematical model Concrete Power system modeling

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Application of neuro-fuzzy models in short term electricity load forecast

Application of neuro-fuzzy models in short term electricity ...

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International CSI computer Conference, CSICC

作者： A. R. Koushki M. Nosrati Maralloo C. Lucas A. Kalhor Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

One of the important requirements for operational planning of electrical utilities is the prediction of hourly load up to several days, known as short term load forecasting (STLF). Considering the effect of its accuracy on system security and also economical aspects, there is an on-going attention toward putting new approaches to the task. Recently, neuro fuzzy modeling has played a successful role in various applications over nonlinear time series prediction. This paper presents a neuro-fuzzy model for the application of short-term load forecasting. This model is identified through locally liner model tree (LoLiMoT) learning algorithm. The model is compared to a multilayer perceptron and Kohonen classification and intervention analysis. The models are trained and assessed on load data extracted from EUNITE network competition.

关键词： Predictive models Load forecasting Multilayer perceptrons Economic forecasting Power system modeling Power generation economics Fuel economy Artificial neural networks Power system economics Temperature

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Long term electrical load forecasting via a neurofuzzy model

Long term electrical load forecasting via a neurofuzzy model

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International CSI computer Conference, CSICC

作者： M. Nosrati Maralloo A. R. Koushki C. Lucas A. Kalhor Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

Long-term forecasting of load demand is necessary for the correct operation of electric utilities. There is an on-going attention toward putting new approaches to the task. Recently, Neurofuzzy modeling has played a successful role in various applications over nonlinear time series prediction. This paper presents a neurofuzzy model for long-term load forecasting. This model is identified through Locally Linear Model Tree (LoLiMoT) learning algorithm. The model is compared to a multilayer perceptron and hierarchical hybrid neural model (HHNM). The models are trained and assessed on load data extracted from a North-American electric utility.

关键词： Load forecasting Predictive models Multilayer perceptrons Power industry Economic forecasting Multi-layer neural network Power system planning Power generation Neural networks Data mining

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Multihop multi-channel scheduling for wireless control in WirelessHART networks

Multihop multi-channel scheduling for wireless control in Wi...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Gabriella Fiore Valeria Ercoli Alf J. Isaksson Krister Landernäs Maria Domenica Di Benedetto Department of Electrical Engineering and Computer Science University of L'Aquila Italy Corporate Research Center ABB AB Vasteras Sweden Department of Electrical Engineering and Computer Science Center of Excellence DEWS University of L'Aquila Italy

ISBN: (纸本)9781424427277

The WirelessHART standard uses TDMA and channel hopping to control access to the network and to coordinate communication between network devices, in order to enhance reliability and to improve the throughput of the network. A problem in utilizing multiple channels is that current devices are usually equipped with a single transceiver. Thus, a node can only transmit or receive on one channel at a time. Moreover, contrary to today's wired control systems, if a single access point is used the communication becomes the bottle neck of the control system. Therefore this paper presents how one may schedule the WirelessHART communication using two access points. Furthermore the paper describes a scheduling algorithm managing a multihop multi-channel networked control system based on the WirelessHART standard. A simulation example of a multihop multi-channel network is also shown, using the fixed packet lost utility of the Matlab/Simulink-based tool TrueTime.

关键词： Spread spectrum communication Communication system control Control systems Communication standards Time division multiple access Telecommunication network reliability Throughput Transceivers Neck Scheduling algorithm

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