We report the OpenMP parallel implementation of a finite difference time domain (FDTD) method for computational electrodynamics. We have identified several time-intensive procedures in the program and parallelized the...
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We report the OpenMP parallel implementation of a finite difference time domain (FDTD) method for computational electrodynamics. We have identified several time-intensive procedures in the program and parallelized the major loops within them after careful examination. Different loop scheduling schemes have been used and tested in order to reduce computation times. The final parallelized version speeds up the computation by nearly a factor of four between the single processor and eight processor test runs on an SGI Origin 2000 parallel system. The speedup plateaus after eight CPUs, but we expect better scalability will be achieved if larger problem sizes are used. Besides the advantage of reduced execution times, our parallel program can also solve FDTD problems of much larger sizes than the sequential code due to much larger memory space available to us on parallel systems.
Modeling of distortion in nonlinear RF and microwave amplifiers requires high order nonlinear modeling to capture behavior with digitally modulated signals but only low order modeling to capture the response with disc...
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Modeling of distortion in nonlinear RF and microwave amplifiers requires high order nonlinear modeling to capture behavior with digitally modulated signals but only low order modeling to capture the response with discrete spectra as in two-tone testing. This paper establishes model order requirements for successful behavioral modeling for system explorations.
Ultrasonic backscatter can provide information on the density of scatterers within biological media, and is therefore an important tool in tissue characterization. In this paper, a novel neural network approach to est...
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Ultrasonic backscatter can provide information on the density of scatterers within biological media, and is therefore an important tool in tissue characterization. In this paper, a novel neural network approach to estimate scatterer density from generalized entropy is proposed. Neural estimation compares favorably with nonlinear least-squares models.
A novel photolithography process was utilized to precisely align and pattern environmentally sensitive hydrogels onto silicon microcantilevers, after microcantilevers were fabricated and released. By patterning enviro...
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A novel photolithography process was utilized to precisely align and pattern environmentally sensitive hydrogels onto silicon microcantilevers, after microcantilevers were fabricated and released. By patterning environmentally sensitive hydrogels onto silicon microcantilevers, an ultrasensitive pH microsensor was prepared for MEMS and bioMEMS applications. Specifically, a crosslinked poly(methacrylic acid) network containing significant amounts of poly(ethylene glycol) dimethacrylate was studied. This hydrogel exhibits a swelling dependence on pH. Hydrogels were patterned onto the silicon microcantilevers utilizing a mask aligner to allow for precise positioning. Via modification of the silicon surface with /spl gamma/-methacryloxypropyl trimethoxysilane, covalent adhesion was gained between the polymer and the silicon surface. The micropatterned hydrogels were analyzed using optical microscopy and profilometry. The bending response of patterned cantilevers with a change in environmental pH was observed, providing proof-of-concept for a MEMS/bioMEMS sensor based on microcantilevers patterned with environmentally sensitive hydrogels.
Adaptive critics have shown much promise for designing optimal nonlinear controllers in an off-line context. Still, their greatest potential exists in the context Of reconfigurable control, that is, real time controll...
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Adaptive critics have shown much promise for designing optimal nonlinear controllers in an off-line context. Still, their greatest potential exists in the context Of reconfigurable control, that is, real time controller redesign in response to (substantial) changes in plant dynamics. To accomplish this, a framework is proposed for the application of adaptive critics in real-time control (for those critic methods requiring a model of the plant). The framework is presented in the context of work being done in reconfigurable flight control by the NW Computational Intelligence Lab (NWCIL) at Portland State university. The proposal incorporates recent work (by others) in fast and efficient on-line plant identification, considerations for bounding the computational costs of converging neural networks, and a novel approach (by us) toward the task of assuring system stability during the adaptation process. The potential and limitations of the proposed framework are discussed. It is suggested that with the recent rapid reduction in computational barriers, only certain theoretical issues remain as the central barriers to successful on-line application of the methods.
We present the use of molecular beacons as sensitive indicators in microfluidic bioMEM devices. A method has been developed to study mixing and hybridization of molecular beacons to target nucleic acids in real time i...
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We present the use of molecular beacons as sensitive indicators in microfluidic bioMEM devices. A method has been developed to study mixing and hybridization of molecular beacons to target nucleic acids in real time in a microfluidic channel. This method allows quantification of DNA and RNA molecules in solution, i.e., without the prerequisite of an immobilization step necessary in most other hybridization formats. The detection limit for DNA was determined to be in the order of femtomoles. Our results suggest the feasibility of using molecular beacon hybridization in microfluidic devices for the detection of pathogenic bacteria in environmental and medical fluids.
Energy-efficient communication is critical for increasing life of power limited wireless ad hoc networks. There has been considerable interest in minimum energy broadcast operations. In this paper, we develop bounds a...
Energy-efficient communication is critical for increasing life of power limited wireless ad hoc networks. There has been considerable interest in minimum energy broadcast operations. In this paper, we develop bounds and an algorithm for minimizing energy cost for broadcasting from any source to all other nodes in the network. Most prior work have used simpler model for energy cost for wireless communications by accounting only the analog radiation cost for transmission and ignored the fixed cost for electronics in transmission and reception circuitry in nodes. Furthermore, in a network it is possible for some node pairs not be able to communicate directly even though they are in their radio ranges due to obstacles present in the terrain of the network.
We classify an input space according to the outputs of a real-valued function. The function is not given, but rather examples of the function. We contribute a consistent classifier that avoids the unnecessary complexi...
ISBN:
(纸本)0262122413
We classify an input space according to the outputs of a real-valued function. The function is not given, but rather examples of the function. We contribute a consistent classifier that avoids the unnecessary complexity of estimating the function.
In this work-in-progress paper, we report on a rigorous, time-condensed program to prepare graduates with a Bachelor of Science in physics for graduate study in electrical, computer, and telecommunications engineering...
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In this work-in-progress paper, we report on a rigorous, time-condensed program to prepare graduates with a Bachelor of Science in physics for graduate study in electrical, computer, and telecommunications engineering. Due to the ongoing favorable job market for engineers, we have found it increasingly difficult to recruit quality students into our graduate programs. In fact, this is recognized as a nationwide problem. We have identified the national pool of undergraduate physics majors as a prospective group of students who can excel in graduate engineering studies. We have established a rigorous eight-week curriculum, to be offered during the summer term, that provides the necessary prerequisite material, including: microprocessors, signals and systems, electronics, and an integrated laboratory experience. This "summer academy" is designed to eliminate the need for normal session leveling classes that students without electrical or computerengineering degrees are required to complete, thereby reducing the overall time required to get a graduate degree.
The low voltage customers of an electric energy distribution system have today a great variety of modern consumption products in their homes, which may be considered as potential sources of harmonic current generation...
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