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electrical design of Advanced Packaging and systems Symposium, EDAPS

作者： Lin-Sheng Wu Jun-Fa Mao Wen-Yan Yin Yong-Xin Guo Key Laboratory of Ministry of Education of China for Research of Design and Electromagnetic Compatibility of High Speed Electronic Systems Shanghai Jiaotong University Shanghai China Department of Electrical and Computer Engineering National University of Singapore Singapore Center of Optics and EM Research State Key Laboratory of MOI University of Zhejiang Hangzhou China

A new hybrid-integrated dual-band filter is proposed for WLAN application, where the lower passband is implemented by a pair of stepped-impedance resonators (SIRs) and the higher passband is provided by two substrate integrated waveguide (SIW) cavities. In our design, the SIRs are embedded into the SIWs to reduce the size. The relationship between the parasitic resonances of SIW structure and the locations of its transmission zeros is studied. Its good performances have been demonstrated by the simulated and measured S-parameters.

关键词： Resonator filters Band pass filters Couplings Passband Dual band Filtering theory Microwave filters

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Silicon nanophotonic devices based on periodic structures

Silicon nanophotonic devices based on periodic structures

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IEEE International Conference on Group IV Photonics

作者： Z. Zhou D. S. Citrin H. Wu H. Yi J. Hou R. Hao E. Cassan X. Wang State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing China Georgia Tech Lorraine Metz Technopõle Unità Mixte Internationale 2958 Georgia Tech-CNRS Metz France School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Department of Components for Microelectronics & Optoelectronics Institut d'Electronique Fondamentale Institut d'Electronique Fondamentale University Orsay France

Periodic structures have been used extensively in optics and photonics. This paper is to report our work on manipulating optical propagation in the nanophotonics domain using silicon devices based on periodic structures.

关键词： Optical waveguides Silicon Gratings Nanoscale devices Photonics Photonic crystals

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Next-generation advances in cognitive processing using spiking neural networks for biochemical sensing, radar and rapid HDL

Next-generation advances in cognitive processing using spiki...

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IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Hoda S. Abdel-Aty-Zohdy Jacob Allen Microelectronics Systems Design Laboratory Department of Electrical and Computer Engineering Oakland University Rochester MI USA

ISBN: (纸本)9781424444946

This invited plenary paper introduces a novel spiking neural network methodology, and applies it to an odorant learning, medical and radar detection applications. Rapid HDL is introduced as a 15 minute rapid prototyping approach, where real-time implementations will be demoed on FPGAs. The spike-time dependent plasticity can support coding schemes that are based on spatio-temporal spike patterns. Spiking (or pulsed) neural networks (SNNs) are models which explicitly take into account the timing of inputs. The network input and output are usually represented as series of spikes (delta function or more complex shapes). Plasticity SNNs have an advantage of being able to recurrently process information. Spike-time dependent plasticity can enhance signal transmission by selectively strengthening synaptic connections that transmit precisely timed spikes at the expense of those synapses that transmit poorly timed spikes.

关键词： Next generation networking Neural networks Radar Hardware design languages Signal design Signal processing Signal processing algorithms Biomedical signal processing Field programmable gate arrays Electronic noses

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A reconfigurable spiking neural network digital ASIC simulation and implementation

A reconfigurable spiking neural network digital ASIC simulat...

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IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Kevin Van Sickle Hoda Abdel-Aty-Zohdy Microelectronics Systems Design Lab Department of Computer and Electrical Engineering Oakland University Rochester MI USA

ISBN: (纸本)9781424444946

A reconfigurable spiking neural network is implemented in a 0.5 ¿m CMOS digital tiny-chip. The connection weights are uploaded to registers on the ASIC. These weights are learned off-line, using combined simulated annealing and genetic algorithm. Large computational power and many simulations create small powerful networks that are adapted to interact with the environment. These configurations are swapped in and out of the ASIC to cope with varying situations and increase robustness. The network has been successfully tested with a simulated robot in a maze and can be extended for target recognition.

关键词： Neural networks Application specific integrated circuits Computational modeling Registers Simulated annealing Genetic algorithms computer networks Robustness Testing Robots

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Cognitive processing using spiking neural networks

Cognitive processing using spiking neural networks

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IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Jacob N. Allen Hoda S. Abdel-Aty-Zohdy Robert L. Ewing Microelectronics System Design Laboratory Department of Electrical and Computer Engineering Oakland University Rochester Hills MI USA Air Force Research Laboratory OH USA

ISBN: (纸本)9781424444946

Powerful parallel cognitive processors can be developed by studying biologically plausible models of cognitive systems in animals and extrapolating key principles to be adapted for implementation in digital computer architectures. The network described here uses basic statistical methods such as proportion sampling on a massively parallel scale to create a general purpose pattern classifier. From these principles, we can achieve auto association and self organization that provides fundamental cognitive processing. Signal preprocessing is essential to transform the signal into a scale and rotation invariant binary pattern. The network avoids the curse of dimensionality by filtering out irrelevant inputs, allowing us to combine large sensor input vectors from multiple sources. Recent hardware designs define the network structure and state in memory, and then use accelerator processor cores to modify these memory structures in parallel.

关键词： Neural networks Neurons Biological system modeling Biology computing Biological information theory Brain modeling computer architecture microelectronics Power engineering and energy Biosensors

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Agile hardware development with rapid hardware definition language

Agile hardware development with rapid hardware definition la...

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IEEE International Conference on Electro-Information Technology

Rapid HDL is a hardware definition language developed in C# for the Microsoft .Net platform. Rapid HDL unifies digital FPGA hardware development and co-software integration. Hardware is scripted using reusable software objects, communication between hardware and software is automatic, and synthesis is automated using a free tool chain. Rapid HDL represents 18,000 lines of code and is freely available under the MIT license.

关键词： Hardware design languages Software libraries Testing Licenses microelectronics Force sensors Field programmable gate arrays Software reusability Software tools High level languages

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Comparison of international learning outcomes and development of engineering curricula

Comparison of international learning outcomes and developmen...

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2009 ASEE Annual Conference and Exposition

作者： Alkhairy, Ashraf Blank, Leland Boning, Duane Cardwell, David Carter, W. Craig Collings, Nick Hayhurst, Allan Milne, William Robinson, Peter Seering, Warren Sheppard, Sallie Smith, Kenneth Stronge, Bill Alfaisal University Saudi Arabia Texas A and M University Qatar United States Department of Electrical Engineering and Computer Science MIT United States Department of Engineering University of Cambridge United Kingdom Department of Materials Science MIT United States Department of Chemical Engineering Cambridge University United Kingdom Department of Electrical Engineering Cambridge University United Kingdom Electronic Devices and Materials Group United Kingdom Department of Computer Technology Computer Laboratory University of Cambridge United Kingdom Department of Mechanical Engineering MIT United States Department of Engineering Systems MIT United States Design and Systems Division of Mechanical Engineering Nissan Cambridge Basic Research Laboratory MIT Center for Innovation in Product Development Department of Computer Science Texas A and M University United States Department of Chemical Engineering MIT United States Whitaker College of Health Sciences and Technology United States Department of Applied Mechanics Cambridge University United Kingdom University of California Davis United States

Various national and regional engineering accreditation bodies have developed sets of learning or program outcomes that serve as the foundation for the evaluation of curriculum quality. Some of the outcome structures are very broadly defined, leaving the details of curriculum design and the justification to the university and the accreditation evaluators. Other accreditation bodies define outcomes more thoroughly in topic and depth, with accreditation hinging on the general fit of the curriculum to these specifications. Most of these outcome structures have been developed and used as accreditation standards predominantly over the last decade. During this time, existing curricula are usually altered and upgraded (that is, 'retrofitted') to meet the outcomes requirements. However, new degree programs and new engineering colleges have the opportunity to use the relevant outcomes as design specifications. Such a design ensures quality, prepares the college for future accreditation evaluation, and can be tailored to meet the needs of students and prospective employers. This paper compares the outcomes structure and contents of several accreditation bodies, including the engineering Council of the UK (EC UK), EUR-ACE of the EU, and ABET of the USA. Similarities and differences between the outcomes of the bodies will be highlighted. The use of these accrediting standards as the basis of design specifications for engineering degrees at the Alfaisal University in Riyadh, Saudi Arabia will be presented. The designs for integrated BS, MS and PhD curricula were developed over a two-year period, based on the defined learning outcomes, by a committee comprised of the Founding Dean of engineering and faculty from the Massachusetts Institute of Technology (MIT), the University of Cambridge and independent reviewers. Example BS and MS curricula and their fit to the outcome specifications are described. © American Society for engineering Education, 2009.

关键词： Accreditation

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Bio-Inspired Adaptive Integrated Information Processing

Bio-Inspired Adaptive Integrated Information Processing

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IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Hoda S. Abdel-Aty-Zohdy Microelectronics Systems Design Laboratory Department of Electrical and Computer Engineering Oakland University Rochester MI USA

Biological brains are dramatically more effective in dealing with real-world adaptive information processes and decisions than most advanced computers. Advanced computers can utilize the discipline of classical signal processing whereby providing theoretical mathematical and statistical approaches for information processing, and with the vision of bio-inspired adaptive processing are evolving into neuromorphic integrated sensory processing systems. Numerous MISO (multi-input, single output) sensory applications demand reliable and effective information processing which, at an initial stage may be addressed by solving the key problems of advanced computing platforms, which are: i-massive parallelism; ii-low power consumption of massively large systems; iii-intelligent systems that learn from observations and perform better on the next run; iv-integrated systems for embedded feasibility; and v-systems that adapt to the environment. Thus, our Adaptive Integrated Information Processing (AIIP) approaches, presented in this paper. Two AIIP systems are presented: Neural networks with synaptic plasticity, as our Spiking Neural Networks (SNNs), with up to one million inputs, for chemical sensing and detection; and Adaptive Recurrent Dynamic Neural Networks (ARDNNs) for defect tracking, reliable system deployment, and prognosis for telecommunication and similar applications. Further-our presented AIIP systems may provide a viable solution to offering powerful modulation schemes and transmission rates far beyond current possible communications systems.

关键词： Information processing Power system reliability Biological neural networks Neural networks Recurrent neural networks Biology computing computer vision Adaptive signal processing Biomedical signal processing Neuromorphics

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Control design for efficient and cost-effective distributed fuel cell power electronics system

Control design for efficient and cost-effective distributed ...

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34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008

作者： Mazumder, Sudip K. Pradhan, Sanjaya K. Laboratory for Energy and Switching-Electronics Systems Department of Electrical and Computer Engineering University of Illinois Chicago United States Product Design Engineer Philips United States

ISBN: (纸本)9781424417667

Batteries in a fuel cell power system are essential to provide the additional load demands during the sharp load transients. This necessitates a power electronics system, which would control the energy flow between the fuel cell stack, the battery and the load during the transient and in the steady-state. In this paper, a cost-effective and efficient power electronic system is proposed for a fuel cell based hybrid power system based on a distributed power electronics topology. The system includes a hierarchical controlling architecture, in which the master control optimizes the control parameters of the individual subsystem controls, which in turn optimizes the performance and efficiency of the overall system while nullifying the effects of load transients on the fuel cell stack subsystem. The power electronics system concept is further experimentally validated using a four module bidirectional dc-dc converter with Nexa PEM stack. © 2008 IEEE.

关键词： Cost effectiveness

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Editorial introduction for the special issue on sensors for microfluidic analysis systems

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IEEE Sensors Journal 2008年第5期8卷 427-429页

作者： Nagle, H. Troy Fair, Richard B. Shannon, Mark A. Tan, Ooi Kiang Geschke, Oliver Ahn, Chong H. Kaynak, Okyay Vellekoop, Michael J. Duke University Department of Electrical and Computer Engineering Durham NC 27708 United States University of Illinois at Urbana-Champaign Department of Mechanical Engineering Urbana IL 61801-2906 United States Nanyang Technological University Division of Microelectronics School of Electrical and Electronic Engineering Singapore 639798 Singapore Technical University of Denmark Department of Micro- and Nanotechnology Kongens Lyngby DK-2800 Denmark University of Cincinnati Department of Electrical and Computer Engineering and Computer Science Cincinnati OH 45221-0030 United States Bogazici University Department of Electrical and Electronics Engineering Istanbul 34342 Turkey Vienna University of Technology Institute of Sensor and Actuator Systems Vienna A-1040 Austria Department of Electrical and Computer Engineering Duke University Electrochemical Society Department of Mechanical Engineering University of Illinois at Urbana-Champaign Urbana IL United States National Science Foundation Science and Technology Center WaterCAMPWS Micro-Nano-Mechanical Systems Laboratory Nanyang Technological University School of Electrical and Electronic Engineering Department of Electrical and Computer Engineering and Computer Science University of Cincinnati Cincinnati OH United States Departments of Electrical Engineering and Biomedical Engineering Microsystems and BioMEMS Laboratory Univensity of Cincinnati Departments of Electrical and Electronics Engineering Bogazici University Istanbul Turkey UNESCO Mechatronics Research and Annlication Centre Vienna Austria Department of Industrial Sensor Systems Institute of Sensor and Actuator Systems Vienna University of Technology Vienna Austria

No abstract available

关键词： Special issues and sections Sensor systems Microfluidics microelectronics USA Councils Mechanical engineering Actuators Fabrication Biosensors Ferroelectric materials

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