This paper presents advances in model development for RF/microwave components exploiting two powerful technologies: artificial neural networks (ANN) and space mapping (SM). We survey the fundamental issues on classica...
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A novel, comprehensive framework to engineering device modeling called Generalized Space Mapping (GSM) is introduced. The accuracy of available empirical models of microwave devices can be significantly enhanced by ex...
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The U.S. Navy is currently investigating the implementation of a DC Zonal Electric Distribution System (DC ZEDS) as a component of an Integrated Power System (IPS) for the next generation of surface combatant. In repl...
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The U.S. Navy is currently investigating the implementation of a DC Zonal Electric Distribution System (DC ZEDS) as a component of an Integrated Power System (IPS) for the next generation of surface combatant. In replacing the current ac radial distribution system, significant gains can be realized in terms of survivability, weight, manning and cost. DC ZEDS is predicated on having starboard and port de busses feeding electrical zones delineated by watertight bulkhead compartments. The main bus de voltage is stepped down within the zone and then converted to three-phase ac and lower voltage de by additional power converters. Due to the large interconnection of tightly-regulated power converters in a stiffly-connected system, negative input impedance effects create the possibility of unwanted resonances. In this paper the authors describe the rationale for the de zonal system, characterize the key components, and highlight the stability issues.
作者：
Robert G. SargentSimulation Research Group
Department of Electrical Engineering and Computer Science College of Engineering and Computer Science Syracuse University Syracuse New York
作者：
R.G. SargentSimulation Research Group
Department of Electrical Engineering and Computer Science College of Engineering and Computer Science Syracuse University Syracuse NY USA
This paper discusses verification and validation of simulation models. The different approaches to deciding model validity are presented; how model verification and validation relate to the model development process a...
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This paper discusses verification and validation of simulation models. The different approaches to deciding model validity are presented; how model verification and validation relate to the model development process are discussed; various validation techniques are defined; conceptual model validity, model verification, operational validity, and data validity are described; ways to document results are given; and a recommended procedure is presented.
A new robust algorithm for EM optimization of microwave circuits is presented. The algorithm integrates a trust region methodology with aggressive space mapping (ASM). A new automated multipoint parameter extraction p...
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A new robust algorithm for EM optimization of microwave circuits is presented. The algorithm integrates a trust region methodology with aggressive space mapping (ASM). A new automated multipoint parameter extraction process is implemented. EM optimization of a double-folded stub filter and of an HTS filter illustrate our new results.
A hierarchical intelligent control system paradigm for a vision-based autonomous driving scheme is presented for a leader-following HMMWV. This article shows how fuzzy logic is employed to represent knowledge at the o...
Much information in an image is concentrated in a few regions. These are dominated by structures characterized by discontinuities in color intensity. We present a wavelet based image analysis algorithm that identifies...
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Much information in an image is concentrated in a few regions. These are dominated by structures characterized by discontinuities in color intensity. We present a wavelet based image analysis algorithm that identifies features that persist across the scales of the wavelet decomposition. This is achieved through the notion of sub-band combining which we introduce here. We first decompose the image into scales using the wavelet transform. Then, for each pixel, the combining process computes a function that collects all the information available at the sub-band (detail) scales. The result is a mask image indicating the significance of every point. Additional processing and image enhancement can now concentrate their efforts in regions where the masks show high values. Medical images, which are band-limited and contain no illumination artifacts, are especially suited to take advantage of sub-band combining. We show how our method can be employed to remove noise, enhance, and smooth features in images from MRI and mammography. Also, we allude to the use of this method to the creation of scale maps for level-of-detail computations.
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