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Since diseases might be related with each other, systematically assessing their relationships could provide us novel insight into their mechanisms. One of the most important methods to study diseases' relationships is to calculate their phenotype similarity scores based on the text and clinical synopsis parts of their records in the OMIM database. However, as demonstrated in this paper, the similarity...
More and more the engineering of complex data-based systems calls for infrastructural support for security issues integrated with services for the management of system organization. With taking Role-Based Access Control theory as reference architecture and considering data security as the research core, the paper imports user permission and analyses the communication mechanism of combination between...
One important aspect of supply chain management is supplier management. As many manufacturers are concentrating on their core competences, they need to gain a competitive edge from their supply side through effective supplier management. Based on the results of case studies at six Chinese manufacturers that recently implemented supplier management, this paper finds that although the six examined firms...
Recently, interests in the notion of collaborative product innovation (CPI) from academia and industry have been significantly increased. Comprehensive requirements analysis along with a cogent framework, however, do not address the problem that how to support product innovation with the distributed knowledge resources. A knowledge decision support model is proposed including collaborative knowledge...
In addition to enabling controlled sharing and isolation, the virtualization mechanism can help to provide users a single image, and to realize a more abstract and uniform view from a set of fine-grained, heterogeneous and un-ordered instances. The paper explores ways of business-oriented service abstraction, Web service virtualization, presents a practical approach and discusses the effects thereof...
A non-intrusive objective measurement for estimating the quality of output speech without input clean speech is proposed for both narrowband and wideband speech based on Gaussian mixture model (GMM) and support vector regression (SVR). Perceptual linear predictive (PLP) features are extracted and clustered by GMM as an artificial reference model from clean speech. Input speech is separated into three...
A non-intrusive objective assessment method is proposed to estimate the quality of output speech without the input reference speech based on narrowband speech test database. From clean speech Perceptual Linear Predictive (PLP) features are extracted and clustered by Gaussian Mixture Model (GMM) as an artificial reference model. Input speech is separated into three classes, for which the consistency...
Managing learning resources is an essential part of an e-learning system, while building inclusive learning environments regardless of race, sex, abilities or capabilities demands the sharing of learning resources. In this paper, we present a learning resource management approach, which is compatible with many standards. We use metadata generation technique, metadata management technique based on...
In VoIP (Voice over Internet Protocol) applications, packet loss affects the received speech quality greatly. PCM (Pulse Code Modulation) coders are often used for VoIP and also face such problems. In this paper a side information based packet loss recovery algorithm is proposed, which introduces a small part of corrective information to provide an enhanced reconstruction of the lost packets. A virtual...
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