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In practice, the data owners of source projects may need to share data without disclosing sensitive information. Therefore, privacy-preserving data-sharing becomes an important topic in cross-company defect prediction (CCDP). In this context, the challenge is how to achieve a high privacy-preserving level while ensuring the utility of the shared privatized data for CCDP. CLIFF&MORPH is a recently...
The sensor modeling problem of electrical capacitance tomography (ECT) is to establish the functional relationship between normalized capacitance values and normalized permittivity distributions. Three different sensor modeling methods are presented in this paper, that is, the sensitivity definition (SD)method, the electric field strength (EFS) method and the multiple linear regression (MLR) method...
It is true that Internet has not only expanded our horizons, but also triggered an unprecedented revolution of operating electronization against the traditional method after we entered the 21st century — also called the age of Internet. In the business area, many enterprises have already achieved the goal of electronic management, saved human resources as well as material consuming, and largely increased...
As Command, Control, Communications, Computer, Intelligence, Reconnaissance, and Surveillance (C4ISR) systems are used more widely in the Army, the training on it become more important. To provide a realistic Environment for training, we adopt the Simulation-based Training Support Environment (S-TSE) for promoting training with C4ISR systems. The development of Interoperability of S-TSE with C4ISR...
In the evaluation process of Military communication network effectiveness (MCNE), the evaluation data mainly come from expert judgments, simulation results and test bed data, and these data cannot be directly used to evaluate MCNE because these three kinds of data are very different in form and in attribute. This research proposed a novel method which synthesizes expert judgments, simulation results,...
Influence Diagrams (IDs) are not only used to display a graphical representation of the qualitative structure of models, but also to improve the communication among subject-matter experts, analyzers, and decisionmakers, by showing the frame of issue discussed from a high-level point of view. This thesis provided a curt overview of IDs and its evaluating, then introduced the extended Time-Sliced IDs...
We study key issues related to multilingual acoustic modeling for automatic speech recognition (ASR) through a series of large-scale ASR experiments. Our study explores shared structures embedded in a large collection of speech data spanning over a number of spoken languages in order to establish a common set of universal phone models that can be used for large vocabulary ASR of all the languages...
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