This paper discusses application of continuous probabilistic networks to leak detection in high-pressure, fluid-filled (HPFF) cables. An existing system for leak detection, build on discrete network, has a number of d...
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Substrate current (Isub) in poly-Si thin film transistors (TFTs) is first investigated by considering their specific substrate contact configuration. When the substrate bias is very small, Isub is driven by the recomb...
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Degradation of n-type poly-Si TFTs under drain pulse stress is investigated. It is first found that under fixed drain pulse stress on-state current degradation is gradually enhanced with DC gate bias varying from posi...
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Degradation of p-channel poly-Si thin-film transistors (TFTs) under dynamic negative bias temperature (NBT) stress has been investigated. Two-stage degradation behavior is first observed. In the first stage, significa...
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A new method for extraction of series resistance is proposed for poly-Si thin-film transistors. In this method, the extraction procedure is insensitive to the variation in effective channel length and device mobility,...
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A new type of polycrystalline silicon (poly-Si) thin-film transistors (TFTs) with self-aligned metal electrodes (SAME) is systematically characterized. New device features different from conventional poly-Si TFTs are ...
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Emerging electric-drive vehicles demonstrate the potential for significant reduction of petroleum consumption and green- house gas emissions. Existing electric-drive vehicles typi- cally include a battery system consi...
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ISBN:
(纸本)9781450301466
Emerging electric-drive vehicles demonstrate the potential for significant reduction of petroleum consumption and green- house gas emissions. Existing electric-drive vehicles typi- cally include a battery system consisting of thousands of Lithium-ion battery cells. Therefore, large-scale battery- system modeling and analysis is essential for battery sys- tem performance analysis, next-generation battery system design, and transportation electrification. This paper presents a modeling and analysis framework for large-scale Lithium-ion battery systems. The proposed solution models major run-time and long-term battery ef- fects, and uses fast frequency-domain analysis techniques. It enables efficient and accurate characterization of large- scale battery system run-time charge-cycle energy efficiency and long-term cycle life. Our solution is validated against physical measurements using real-world user driving studies. Copyright 2010 ACM.
Chip multiprocessor technique has been implemented in embedded systems due to the tremendous computation requirements. Three dimension chip multiprocessor architecture has been studied recently for integrating more fu...
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In this paper, we develop a novel approach for joint channel estimation and Markov Chain Monte Carlo (MCMC) detection for time-varying frequency-selective channels. First, we propose a sequential channel estimation (S...
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In this paper, we develop a novel approach for joint channel estimation and Markov Chain Monte Carlo (MCMC) detection for time-varying frequency-selective channels. First, we propose a sequential channel estimation (SCE) MCMC algorithm that combines an MCMC algorithm for data detection, and an adaptive least mean square (LMS) algorithm for channel tracking, in a sequential fashion. Then we develop a stochastic expectation maximization (SEM) MCMC algorithm that takes advantage of both the MCMC approach and the EM algorithm to find jointly important samples of the transmitted data and channel impulse response (CIR). The proposed algorithms provide a low-complexity means to approximate the optimal maximum a posterior (MAP) detection in a statistical fashion and are applicable to channels with long memory. Excellent behavior of the proposed algorithms is presented using both synthetic channels and real data collected from actual underwater acoustic experiments.
This paper proposes a circuit structure which can be used for both synchronous and asynchronous pipeline control. It is a self-circulation structure with embedded delay network, and a pipeline can be controlled by thi...
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This paper proposes a circuit structure which can be used for both synchronous and asynchronous pipeline control. It is a self-circulation structure with embedded delay network, and a pipeline can be controlled by this structure with the interconnection of adjacent stages. This paper first proposes a basic circuit structure, then a linear pipeline is designed with self-circulation structure. The performance of linear pipeline is analyzed, and a 16-bit digital signal processor (DSP) with the structure is designed to prove the validity of the structure. Results show that about 10%-15% power consumption is saved with self-circulation structure compared with synchronous counterpart, while almost the same performance is achieved.
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