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The growing popularity of high performance computing has led to a new focus on bypassing or eliminating traditional I/O operations that are usually the bottlenecks for fast processing of large data volumes. One such solution uses a new network communication protocol called InfiniBand (IB) which supports remote direct memory access without making two copies of data (one in user space and the other...
We proposed a novel testing method for the temperature difference distribution between the helix and the shell of the helix slow-wave structure (SWS). The thermal resistance of the SWS can be deduced by the temperature difference. A distributed micro fiber Bragg grating (FBG) sensor array and the thermocouple sensors are designed to measure the temperature distribution of the helix and the shell respectively...
Sensing white space channels to detect whether a particular channel is free or not is very crucial to the operation of Cognitive Radio Networks (CRNs). Cooperative sensing has been shown to improve the performance of channel sensing. However, cooperative sensing is susceptible to malicious users that may not faithfully follow sensing instructions to save energy and/or time, or to launch denial of...
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed as exploiting only the first-order statistics, namely, the empirical mean discrepancy to evaluate the distribution gap. Intuitively, considering only the empirical mean may not be statistically efficient. In this paper,...
Web security evaluation is an important way for resolving Web security. This paper introduces the commonly used Web security comprehensive evaluation tools. Application examples and the comparison of their abilities are also given. Some inherent flaws in these tools which use the completely automatic method are analyzed. On this basis, we integrate black box and white box testing and propose a generic...
Due to complex nonlinear data pattern in time series regression, forecasting techniques had been categorized in different ways, and the literature is also full of differing opinions, thus, it is difficult to make a general conclusion. In the recent years, the support vector regression (SVR) model has been widely used to solve nonlinear time series regression problems. This investigation presents a...
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