The juxtaposition of computation and biology opens up a new world of science and technology. Richard Feynman characterizes the young and fast-developing world of computer science as follows: "[it] is like enginee...
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The juxtaposition of computation and biology opens up a new world of science and technology. Richard Feynman characterizes the young and fast-developing world of computer science as follows: "[it] is like engineering-it is all about getting something to do something."1 Viewed from this perspective, the scope of research and development at this intersection is a vast, two-way street that computer science has to offer to biological science and biotechnology and vice versa. Computational thinking helps characterize, predict, and influence the dynamics of biological processes from molecular to cellular to organ in a way that revolutionizes our understanding of health and drug design. In turn, understanding the architecture and principles of natural biological processes and organization might require new models of computation, which could lead to robustness in the design of large-scale software and hardware systems, a hitherto elusive goal.
Bragg gratings fabricated on top of ion exchanged glass waveguides using PECVD-deposited silicon overlays are reported. The resulting Bragg gratings are characterized and transmission dips at 1536 nm in excess of 18 d...
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The effects of exercise, nutrition, and aging on the development of human skeletal muscles can be observed from the morphological changes of the Z-band under the electron microscope. Quantification of the Z-band damag...
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A new system enhancement method is proposed for the EIA/TIA-136 system offering both channel operational range extension and improved performance within the current operational range. The research presented investigat...
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A new system enhancement method is proposed for the EIA/TIA-136 system offering both channel operational range extension and improved performance within the current operational range. The research presented investigates the application of the narrowband adaptive multi-rate (NB-AMR) speech codec and the wideband AMR (WB-AMR) codec, both originally designed for the 200 kHz GSM channel, in the TDMA (TIA/EIA-136) 30 kHz system. In particular, we investigate adaptively allocating bits between NB/WB speech coding and error control within the limited channel bandwidth. Four modes out of seventeen have been carefully chosen for the new TDMA/AMR system. Switching between codec rates as channel conditions change produces range extension below a C/I of 15 dB while also improving performance in the existing operational range above 15 dB. Time slot formats are unchanged so that the method is completely compatible with existing 136 systems.
The design of wholesale electricity markets through deregulation has focused almost exclusively on the development of competitive supply (generation). The demand side of the market has been virtually ignored. Mostly, ...
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ISBN:
(纸本)0780373227
The design of wholesale electricity markets through deregulation has focused almost exclusively on the development of competitive supply (generation). The demand side of the market has been virtually ignored. Mostly, this is due to the assumption that electricity demand is almost completely inelastic. As a result, deregulated wholesale markets universally fail to pass price signals down to the end-users. This paper challenges the assumption of inelastic demand by exploring the potential benefits of implementing a simple load control scheme. This load control scheme allows consumers to shift demand from high priced hours to low priced hours during the day. The benefits to the individual consumer are explored through an example applied to residential air conditioning using price and demand data from California. This example shows that "smart" use of air conditioning can lead to great savings for residential consumers, without sacrificing comfort. The potential for multiple consumers implementing load control to reduce wholesale prices is also examined.
Single view recognition is encountered in many photo-identification applications. Often a query image is retrieved by searching a database of previously identified images. Important markings and patterns are often loc...
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ISBN:
(纸本)0769515371
Single view recognition is encountered in many photo-identification applications. Often a query image is retrieved by searching a database of previously identified images. Important markings and patterns are often located in a particular area of the object. This paper presents a method to locate an invariant patch on an image using few points in correspondence and few invariant ratios. Computation of ratios is simple and intuitive both geometrically and analytically. Once ratios are computed for an appropriate multilateral patch, the same ratios can be used on other images to locate the same identifier patch. In particular, this method is deployed to obtain the same area of interest on spotted dolphins.
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.
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.
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.
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.
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