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Thermal sensor noise has great impact on the efficiency and effectiveness of a dynamic thermal management (DTM) strategy. Conventional reactive thermal management techniques suffer significant performance degradation due to the pessimistic reaction. In this paper, to address the problem of forecasting temperatures based on noisy thermal readings, we propose a Kalman predictor based runtime thermal...
Breath training is an important part in the pronunciation recovery process, we simulate the fluent of air in the the upper respiratory tract, use computational fluid dynamic to build the impaired hearing children's pronunciation recovery system, and we have tasted the reliability of the system by experimental. We study the two parts in the breath process by the dynamic fluid computational method,...
In this paper, we examine the knowledge transfer process on community networks by analyzing the average knowledge level as a function of the agent's absorptive capacity. It is found that the average knowledge level decreases with the increment of inner-community links and the decreases of inter-community links when we keep the total links (including inner-community and inter-community links) constant...
Low-density parity-check code is a kind of near-optimal error correction code. Developing a highly efficient decoding algorithm is the main challenge of the implementation of LDPC code. In this paper, based on the min-sum column-layered decoding algorithm, a new selective computation technique is proposed to reduce the number of comparisons. With the presented decoding algorithm, the total number...
Outlier detection over data streams has attracted attention for many emerging applications, such as network intrusion detection, web click stream and aircraft health anomaly detection. Since the data stream is likely to change over time, it is important to be able to modify the outlier detection model appropriately with the evolution of the stream. Most existing approaches were using incremental or...
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