1,721,522 research outputs found
Calculating the probability of timing violation of F/F-controlled paths with timing variations
No full textWe propose an analytic method to calculate the probability of timing violation of F/F-controlled paths by considering timing variations. We first characterize the timing characteristics of F/Fs and path delays using a generalized canonical delay model. The probability of setup-time violation is then calculated by considering the correlation between F/Fs and logic paths. For the calculation, we used conditional tightness probability equation which reflects the nonlinearity of the process parameters. In experiments, the proposed method exhibited the error less than 7 % with respect to Monte-Carlo (MC) simulation results. Compared to the benchmark method that does not consider the variations of the timing characteristics of F/Fs, the proposed method improved the accuracy by more than 18% on average. ? 2016 IEEE.11Nscopu
Analysis of PCV2 ORF2 region in the wild rats living around pig farms in Korea
No full textSeo, T.W.; Kim, Y.H.; Yoon, B.I.; Han, J.H.. (2008). Analysis of PCV2 ORF2 region in the wild rats living around pig farms in Korea. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/152827
Training and repair policies for stand-by systems
No full textThis research is concerned with developing repair and training strategies for stand-by equipment which maximise the time until the equipment is unable to respond when it is needed. Equipment can only be used if it is in an operable state and the users have had sufficient recent training on it. Thus it is necessary to decide when to maintain/repair the equipment and when to use the equipment for training. Both actions mean the equipment is not readily available for use in an emergency. We develop discrete time Markov decision process formulations of this problem in order to investigate the form of the optimal policies which maximise the expected survival time until a catastrophic event when an emergency occurs and the equipment cannot respond. We also calculate the solution in a number of numerical examples
Contrast enhancement using multiple mapping functions for power reduction in OLED display
No full textThis paper proposes the power constrained contrast enhancement algorithm for OLED display based on the multi-mapping functions for improving the local contrast of the input image. The proposed method divides the input image into several blocks. Then, it calculates the multi-mapping functions corresponding to each block using convex optimization process between the image quality and power consumption. Using the multi-mapping function, the proposed method adjusts the mapping function and calculates the output image using the bilinear interpolation. In the experimental results, the proposed method improved the local contrast, and increased the enhancement performance measure and sharpness by up to 57.8% and 41.9% compared to benchmark methods. ? 2016 IEEE.11Nscopu
Configurable Controller for High-Resolution LED Display Systems
No full textLight-emitting diode (LED) display systems are implemented in various resolutions and aspect ratios to satisfy various display requirements. The requisite resolution and aspect ratio can be obtained by combining the appropriate LED panels. However, using different types of LED panels require using different types of LED controllers to drive them, which constitutes a rather burdensome design constraint. In addition, a driving circuit inside an LED panel may be modified to improve the display quality by adopting a new driving scheme or new LED elements. Furthermore, it may sometimes be necessary to create a completely new LED panel. All of these situations require the design of new LED controllers. In this paper, we, therefore, propose a configurable LED controller that can be used with various types of LED panels without requiring hardware modification or redesign. The proposed LED controller consists of an application-specific instruction-set processor (ASIP) and custom hardware. The ASIP is software programmable, and the custom hardware is employed to obtain a high operating speed. Moreover, the function of the custom hardware can be configured through the ASIP software program for generating the necessary address sequence to read the image bit plane memory and, consequently, to accommodate the target LED panel. Therefore, the proposed LED controller provides the advantages of flexibility and high-speed operation. The proposed LED controller was implemented using Xilinx Virtex-5, and it successfully drove LED panels having 64 x 96, 96 x 80, and 128 x 64 pixels at refresh rates of 3125, 2232, and 1736 Hz, respectively. An analysis of the operational capability indicates that, at the same refresh rate, the field-programmable gate array prototype of the proposed controller drives 1.44 times more pixels per unit time than a state-of-the-art commercial controller.1100Nsciescopu
Weighted peak ratio for estimating stereo confidence level using color similarity
No full textIn this paper, we propose a new stereo confidence metric, weighted peak ratio. Unlike existing confidence metrics, it computes the confidence level using the costs of surrounding pixels and given weights based on the color similarity between the pixels. In the experimental results, the proposed confidence metric showed better performance in detecting outliers compared to the state-of-the-art confidence metric, average peak ratio. Especially, the proposed metric is effective in object boundary regions. ? 2016 IEEE.11Nscopu
Adaptive genetic algorithm for energy-efficient task scheduling on asymmetric multiprocessor system-on-chip
No full textThis paper proposes a genetic algorithm (GA) based energy-efficient design-time task scheduling algorithm, AGATS, for an asymmetric multiprocessor system-on-chip. Unlike existing GA-based task scheduling algorithms, AGATS adaptively applies different generation strategies to solution candidates based on their completion time and energy consumption. For solution candidates to evolve intelligently, instead of using conventional genetic operators, AGATS uses three generation strategies: elitism, mutation of elites (MOE), and adaptive generation (AG). The first copies a small portion of elite solution candidates into the next generation to guarantee that solution quality does not decrease from the current to the next generation. The second mutates randomly selected elite solution candidates to maintain both the diversity of candidates and solution quality. Finally, the third adaptively evolves solution candidates toward better candidates based on their completion time and energy consumption. In experiments, AGATS reduced energy consumption by up to 29.3% compared to existing methods and outperformed them in most cases. Furthermore, it identified feasible solutions effectively, which was not the case with the existing methods under tight timing constraints. (C) 2019 Elsevier B.V. All rights reserved.11Nsciescopu
Domain Decomposition Solution of the Neutron Diffusion Equation with an Iterative Parallel Algorithm on a Transputer Network
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A Flux- and Adjoint Flux-Weighting Method for the Control Rod Cusping Problem in Nodal Methods
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