As information and communications technology matures, the nature of the infrastructure that supports it evolves and specializes. While the telephone infrastructure had been built as a network with central offices acti...
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A balancing problem for transfer lines with parallel spindles is investigated. All spindle heads of the same workstation are activated simultaneously. The relations of the necessity of executing some operations at the...
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A balancing problem for transfer lines with parallel spindles is investigated. All spindle heads of the same workstation are activated simultaneously. The relations of the necessity of executing some operations at the same workstation, the possibility of combining the spindles at the same workstation as well as precedence constraints are given. The problem is to choose spindle heads from a given set and allocate them to workstations in such a way that i) all the operations are performed, ii) all constraints are satisfied, iii) the cycle time is provided, and iv) the line cost is minimal. The proposed method for solving the problem is based on its formulation as a mixed integer problem (MIP).
Simultaneous multithreading (SMT) attempts to attain higher processor utilization by allowing instructions from multiple independent threads to coexist in a processor and compete for shared resources. Previous studies...
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This paper proposed predictive quantization-hased filtering method that uses average speed-based dynamic quantum size to effectively reduce communication overhead that DEVS/HLA-based distributed traffic simulation has...
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ISBN:
(纸本)1565552687
This paper proposed predictive quantization-hased filtering method that uses average speed-based dynamic quantum size to effectively reduce communication overhead that DEVS/HLA-based distributed traffic simulation has. Average speed-based dynamic quantum size monitors dynamically changing road situation at fixed time unit and set vehicles 'average speed to dynamic quantum size. Then it generates individual quantum size offactors such as the distance from the leading vehicle, speed and acceleration that decide traffic models 'behavior by using dynamic quantum size. Therefore, the suggested methodology has an advantage in that it effectively reduces communication overhead among federates of distributed traffic simulation. This paper verified validity of the suggested method by doing distributed modeling the 32km block from East Seoul to Hobup of JOOJ'/GBOO highway in Korea and analyzing the simulation.
Computational electromagnetics deals with the problem of finding efficient and reliable solutions of Maxwell's equations. This is important in a variety of practical applications, such as antenna design and automa...
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Neuron growth on nanofabricated silicon surfaces, once understood, is fundamental to engineer circuits involving neurons and electronic components, leading to applications such as next-generation brain implants, and h...
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Reactively steered antenna arrays (RESAAs) can be steered electronically by varying their load impedances. To maximize radiation efficiency, the load impedance must be reactive to avoid ohmic losses. A simple means to...
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A low-power, radio-frequency analog-to-digital converter (RF-ADC) for soil moisture remote sensing was designed and fabricated. The RF-ADC is the fundamental component used in a direct-sampling digital radiometer, whi...
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Besides the programming of the control application code of a distributed automation system (DAS) and the functional allocation of the control application code to the specific devices that the DAS consists of, an impor...
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Neuron growth on nanofabricated silicon surfaces, once understood, is fundamental to engineer circuits involving neurons and electronic components, leading to applications such as next-generation brain implants, and h...
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Neuron growth on nanofabricated silicon surfaces, once understood, is fundamental to engineer circuits involving neurons and electronic components, leading to applications such as next-generation brain implants, and high-throughput neurologic drug screening assay systems. Precise quantification of neuronal growth and behavior from image samples requires computer vision algorithms for automatic tracing of neurons, and flexible algorithms for reliable registration and analysis of multi-fluorophore imagery. The tracing algorithms must be robust to high levels of clutter and common imaging artifacts, process discontinuities, and quantum noise, especially when live neurons are imaged. Finally, the large numbers of images that must be processed for a hypothesis test or assay call for computationally efficient algorithms. A fully automated neuron tracing algorithm based on the use of robust detection and estimation principles is described here that meets the above needs. It takes 2 seconds to trace and extract morphological statistics from a typical 1280 × 1024 image on a Pentium III, 1 GHz personal computer. It was validated against manually generated traces and the errors were in the range of 1-5% per image.
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