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Vulnerability assessment is the practice of testing a computer system, network or application to identify, measure and rank vulnerabilities within the system. This project's goal is to create a distributed vulnerability assessment architecture utilizing multiple miniaturized computers such as Raspberry Pi 2 Model B. The scheme delegates scanning tasks to low-cost and self-contained miniaturized devices...
In this paper, we assess the perceptual contributions of vowel versus consonant information to speech perception by unilateral and bilateral cochlear implant (CI) listeners. Consistent with the earlier results reported for normal hearing and hearing impaired listeners, vowels play a significantly more important role compared to consonants in the sentence perception by cochlear implant listeners. In...
In recently, there are many machine learning approaches have developed for intelligent control. One of these approaches is least squares-support vector machine regression (LS-SVMR). Besides, the robustness problem of the LS-SVMR among machine learning algorithms is importantly considered in recent years. Hence, for the robustness problem in LS-SVMR, a least trimmed squares support vector machine regression...
This paper is a summary of an IEEE/PES Power System Relaying Committee (PSRC) report [2] on the design and testing of selected System Integrity Protection Schemes (SIPS). The report includes high level general considerations in SIPS design and testing, and the industry practice in design and testing of the following selected SIPS with example implemented schemes: (1) Generator rejection; (2) Load...
This paper applies panel methodology to examine the short-run dynamics, the long-run equilibrium relationships and the causal relationship between energy consumption and economic growth. It is based on China's 37 industrial sectors over the period 1998 to 2010. Tests for panel unit roots, co integration in heterogeneous panels and panel causality are employed in a bivariate panel vector error correction...
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