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Hysteretic jumps in the response of layered superconductors to electromagnetic fields

Physical Review B 2008年第18期78卷 184504-184504页

作者： V. A. Yampol’skii T. M. Slipchenko Z. A. Mayzelis D. V. Kadygrob S. S. Apostolov S. E. Savel’ev Franco Nori Advanced Science Institute The Institute of Physical and Chemical Research (RIKEN) Wako-shi Saitama 351-0198 Japan A. Ya. Usikov Institute for Radiophysics and Electronics Ukrainian Academy of Sciences 61085 Kharkov Ukraine V. N. Karazin Kharkov National University 61077 Kharkov Ukraine Department of Physics Loughborough University Loughborough LE11 3TU United Kingdom Department of Physics Center for Theoretical Physics Applied Physics Program Center for the Study of Complex Systems University of Michigan Ann Arbor Michigan 48109-1040 USA

We consider here a layered superconductor subject to an externally applied moderately strong electromagnetic field. We predict hysteretic jumps in the dependence of the surface reactance of the superconductor on the amplitude H0 of the incident electromagnetic wave. This very unusual nonlinear phenomenon can be observed in thin superconducting slabs at not very strong ac amplitudes if the frequency of the irradiating field is close to the Josephson plasma frequency. Using the set of coupled sine-Gordon equations, we derive the expression for the phase shift χ of the reflected wave and obtain the conditions for the appearance of hysteresis in the χ(H0) dependence.

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Fuel Stabilization Unit proof of concept engine demonstration

Fuel Stabilization Unit proof of concept engine demonstratio...

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作者： Spadaccini, Louis J. Tillman, Gregory Gentry, James Chen, Alexander Edwards, Tim United Technologies Research Center East Hartford CT 06108 United States Pratt and Whitney West Palm Beach FL 33410 United States Hamilton Sundstrand Windsor Locks CT 06096 United States Air Force Research Laboratory Wright-Patterson Air Force Base OH 45433-7103 United States Thermal Fluid Sciences Department MS 89 411 Silver Lane United States Pratt and Whitney Program Office MS 39 411 Silver Lane United States Systems Engineering and Validation Box 109600 United States One Hamilton Road Fuels Branch AFRL/RZTG Bldg. 490 1790 Loop Rd. N. United States

ISBN: (纸本)9781563479434

An in-line membrane-based Fuel Stabilization Unit (FSU) was manufactured and demonstrated in a Pratt & Whitney (P&W) JT15D-5C Turbofan Engine test. The FSU reduced the dissolved oxygen content of JP-8 fuel to improve its thermal-oxidative stability, enabling dramatic reductions in coke formation and realizing goals of the Air Force vision for enhanced fuel thermal stability under the JP-8+225 / JP-900 program. The reduced oxygen level enabled the fuel to be heated to 600F, representing a 2.8 times increase in allowable heat capacity versus the current limit of 325F for military engines. The increase is even larger when compared to existing commercial engine temperature limits. Engine tests were conducted at a nominal maximum cruise steady-state condition. The fuel was preheated prior to deoxygenation in order to simulate the presence of upstream low-grade aircraft heat loads, and the deoxygenated fuel was then heated to 600F downstream of the FSU using compressor bleed air to simulate high-grade heat loads. Thirty-one hours of testing were conducted with 600F fuel. Inspection of both the high-temperature heat exchanger and fuel nozzles indicated that coke formation was suppressed after more than 50,000 lbs of heated fuel was injected and burned in the engine. © 2008 by United Technologies Corporation.

关键词： Thermal load

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A CAN and OSEK NM based siren for automobiles

A CAN and OSEK NM based siren for automobiles

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2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07

作者： Qiao, Xin Wang, Zhixue Sun, Yuan He, Feng Wang, Fei-Yue IEEE Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences CO 100080 Beijing China Institute of Computing Chinese Academy of Sciences CO 100080 Beijing China Key Laboratory for Complex Systems and Intelligence Science Chinese Academy of Sciences Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson AZ 85719 United States

ISBN: (纸本)1424410762

Today, more and more Electronic Control Units have been installed in vehicle, and Controller Area Network is one of the most widely used networks to connect these ECUs, also the architecture of OSEK is increasingly employed into the design of individual ECU and the network. In this paper, we propose a new framework to design the ECU with limited-storage-space. In the framework, an infinite cycle acts as a mainframe, and the code conforming to OSEK NM is inserted into the cycle. A siren of vehicle is developed with this method, and a Hardware-In-Loop test is accomplished. The results show that the framework is available, and the real-time performance of the siren is satisfied. © 2007 IEEE.

关键词： Intelligent vehicle highway systems

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Solar power satellites: Historical perspectives with a look to the future

Solar power satellites: Historical perspectives with a look ...

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AIAA Space 2007 Conference

作者： Laracy, Joseph R. Bador, Damien Adams, Danielle Weigel, Annalisa Chambers, Richard Kwon, Daniel Proudfoot, David Qu, Shen Shoepe, Ted Massachusetts Institute of Technology Cambridge MA 02139 United States Complex Systems Research Laboratory Engineering Systems Division Bldg. 33-407 AIAA Lean Aerospace Initiative Aeronautics/Astronautics and Engineering Systems Division Bldg. 41-205 Aeronautics/Astronautics and Technology and Policy Program 28 Forest Street Somerville MA 02143 United States Aeronautics/Astronautics and Engineering Systems Bldg. 33-404

ISBN: (纸本)1563479079

Since the late 1960s, there has been interest in the United States, and later in other nations, to capture solar energy in space and efficiently transmit it back to Earth. Starting with his seminal paper in 1968, Dr. Peter Glaser began architecting a prototype system that was further explored by the US Department of Energy in the Concept Development and Evaluation program. This initial study showed that the project was very ambitious and fraught with technical, social, and economic uncertainties. Energy economics and the lack of a reliable, high frequency space launch capability brought most research to a halt in the 1990s. This paper proposes a rational technical strategy to refocus Solar Power Satellite (SPS) research. It suggests a 30 year timeline for program milestones and analyzes potential technical performance. Real options analysis is used to manage uncertainty and permits the exploration of possible futures that are dependent on launch costs and electricity market prices. We propose that the U.S. can make progress toward implementing a small scale SPS system within several decades if work is begun now on technology development and on addressing societal concerns.

关键词： Satellites

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Investigation to the use of vibration energy for supply of hearing aids

Investigation to the use of vibration energy for supply of h...

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24th IEEE Instrumentation and Measurement Technology Conference

作者： Ben Amor, N. Kanoun, O. Sfax National School of Engineering Research Unit on Intelligent Control Design and Optimization of Complex Systems (ICOS) BPW 303B Tunisia Department of Metrology University of Kassel Germany

ISBN: (纸本)9781424405886

Using ambient energy, the operation time of batteries in mobile applications can be increased and the acceptability by the user can be improved In this paper we investigate the possibilities to design hearing aids as power aware system scavenging energy directly from its environment. The energy source we consider is vibration produced by movements primarily in the neighbourhood of the ear and other movements of the human body. Experimental measurements of vibration were evaluated by means of a theoretical model. The results show that an interesting improvement of battery operation time can be reached.

关键词： energy autonomous systems power aware systems hearing aid vibration energy

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Publisher's Note: “Air-stable n-channel organic thin-film transistors with high field-effect mobility based on N,N′-bis(heptafluorobutyl)-3,4:9,10-perylene diimide” [Appl. Phys. Lett. 91, 212107 (2007)]

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Applied Physics Letters 2008年第4期92卷

作者： Joon Hak Oh Shuhong Liu Zhenan Bao Rüdiger Schmidt Frank Würthner Department of Chemical Engineering Stanford University 381 North South Mall Stanford California 95305 USA Institut für Organische Chemie and Röntgen Research Center for Complex Material Systems Universität Würzburg Am Hubland 97074 Würzburg Germany

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Design for self-organizing fuzzy neural networks using a novel hybrid learning algorithm

Design for self-organizing fuzzy neural networks using a nov...

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Congress on Evolutionary Computation

作者： Liang Zhao Fei-Yue Wang The Key Laboratory for Complex Systems and Intelligence cience Chinese Academy and Sciences Beijing China The Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA

A novel hybrid learning algorithm to implement automatically structure identification and parameter optimization for designing a self-organizing TSK-Type fuzzy neural network (FNN) is proposed in this paper. It includes mean shift clustering algorithm (MSC) and mean firing strength method (MFS) which are employed to identify the network structure of fuzzy neural network (FNN) and the particle swarm optimization enhancing genetic algorithm (PSO-EGA) and the modified back-propagation algorithm (MBP) which are applied to learn the free parameters of it. That is, the MSC is used to partition the input vector space to generate initial network structure. Then the MFS is used to prune the least important rule neurons of initial structure and generate optimal network structure. After the structure identification is completed, the PSO-EGA is adopted to perform a global search in free parameter space of the FNN and seek a near- optimal initial free parameters point for the next stage. Then, it is considered as the initial weights of the FNN and the MBP is used to perform the learning process until a terminal condition is satisfied. The simulation experiment has verified that the proposed hybrid learning algorithm achieves superior performance in learning accuracy than those of some traditional methods.

关键词： Algorithm design and analysis Fuzzy neural networks Clustering algorithms Neural networks Fuzzy systems Particle swarm optimization Neurons Genetic algorithms Partitioning algorithms Clustering methods

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The design of self-organizing fuzzy neural networks based on Ga-ecpso and MBP

The design of self-organizing fuzzy neural networks based on...

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IEEE International Conference on systems, Man and Cybernetics

作者： Liang Zhao Fei-Yue Wang Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA

A novel hybrid learning algorithm which automates the design of the FNNs is proposed in this paper. It is based on two-stage learning process. First, mean shift clustering (MSC) and mean firing strength (MFS) are combined to identify the structure. The MSC is used to generate the initial network structure and parameters of each neuron and MFS refines the initial network to produce the optimal network structure. Next, genetic algorithm enhancing chaotic particle swarm optimization (GA-ECPSO) and modified back-propagation (MBP) are proposed to learn the free parameters. The GA-ECPSO is used to seek the near-optimal parameters solution and MBP continues the learning process until the terminal condition is satisfied. The simulation experiment demonstrates the superior performance of the algorithm.

关键词： Fuzzy neural networks Fuzzy sets Clustering algorithms Fuzzy systems Training data Partitioning algorithms Algorithm design and analysis Genetic algorithms Particle swarm optimization Neural networks

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Design for recurrent fuzzy neural networks using MSC-MFS and PSO-MBP

Design for recurrent fuzzy neural networks using MSC-MFS and...

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IEEE International Conference on systems, Man and Cybernetics

A novel hybrid learning algorithm for designing a TSK-type recurrent fuzzy neural network (RFNN) is proposed in this paper. The whole designing process includes two stages, i.e., structure identification and parameter optimization. The structure identification includes mean shift clustering (MSC) and mean firing strength (MFS). The MSC is used to partition the input space and the mean firing strength (MFS) is employed to prune the redundant rule neurons. After the structure identification is performed, we adopt the PSO to adjust the free parameters of the RFNN and generate the near-optimal free parameters solution. Then, MBP is used to continue the learning process until the terminal condition is satisfied. The proposed hybrid learning algorithm achieves superior performance in learning accuracy.

关键词： Fuzzy neural networks Recurrent neural networks Neural networks Neurons Fuzzy logic Feeds Feedforward neural networks Algorithm design and analysis Clustering algorithms Partitioning algorithms

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Multimodal human-robot interaction in an assistive technology context

Multimodal human-robot interaction in an assistive technolog...

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2007 Australasian Conference on Robotics and Automation, ACRA 2007

作者： Harte, Elizabeth Jarvis, Professor Raymond Intelligent Robotics Research Centre Department of Electrical and Computer Systems Engineering Monash University Clayton VIC 3800 Australia ARC Centre for Perceptive and Intelligent Machines in Complex Environments Australia

ISBN: (纸本)9780958758390

In this paper, we present a prototype robotic system that captures, processes and fuses speech, vision and laser-depth data to more accurately interpret and perform simple tasks in a domestic environment. We can never assume that any one of these inputs are completely accurate, but by using a combination, a more accurate interpretation could be found. For each speech, gesture recognition and object recognition input, an associated probability of correctness is calculated. Using these probabilities, a predefined associative map between specific words and gestures, and contextual information, we update the associated probability until some threshold has been reached. This contextual information includes the history of recently uttered phrases, as well as the information about known objects in the environment. Once an interpretation, complete or otherwise, is found, a response is formulated. This system has been developed using a Mitsubishi Heavy Industries robot, Wakamaru, as a platform.

关键词： Probability

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