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Cloud computing is a new commercial model with distributed computing, utility computing, and grid computing. In many situations, both the cloud service providers (CSPs) and cloud service users maximize their earnings. Consequently, how to resolve the resource allocation and determine the transaction pricing between CSPs and users is a big challenge. In this paper, we propose a double auction-based...
This paper is a research project based on the status of Hebei Province in basic public services. An investigation was made on field survey and data calculation. This paper thoroughly analyzes the current situation of equalization in fiscal expenditure, education, medical and health fields. Besides, it analyses the existing problems of basic public service equalization in Hebei Province, and then puts...
Manned spacecraft avionics (MSA) are expensive as it is essential that they are extremely safe and reliable to avoid mission failure. The system's health condition and subsystem effectiveness have a direct effect on safety. This study evaluates the system effectiveness of a health management system for MSA within a framework of a system condition assessment and subsystem effectiveness evaluation using...
Data deduplication techniques are ideal solutions for reducing both bandwidth and storage space requirements for cloud backup services in data centers. Current data deduplication solutions rely on comparing fingerprints (hash values) of data chunks to identify redundant data and store the fingerprints on a centralized server. This approach limits the overall throughput and concurrency performance...
We propose a clustering algorithm based on a structural prior based Local Factor Analysis (spLFA) model under the Bayesian Ying-Yang harmony learning, which automatically determines the hidden dimensionalities during parameter learning, reduces the number of free parameters by projecting the mean vectors onto a low dimensional manifold, imposes the sparseness by a Normal-Jeffreys prior. Experiments...
To find the risks in food supply chain and to take appropriate measures to guard against risks and increase capacity of food supply chain to resist risks. The paper established Logistic regression early-warning model to recognise magnitude of risks based on principal component analysis and Logistic regression analysis. An empirical analysis is carried out to test the model by take out some food enterprises...
Query by image example is still a challenge in image retrieval. The goal of similarity retrieval in images is to get the similar images quickly and accurately in high-dimension space. The accuracy of similarity retrieval in high-dimension space is mainly decided by the features representing images and the method used for similar calculation. Our main goal in this paper is to improve the retrieval...
This paper proposes a new approach for tackling the multi-attribute decision making problems under uncertainty or the decision makerpsilas imprecise judgment environment. In this paper fuzzy grey relational analysis for multi-attribute decision making is extended to fuzzy environment. A new algorithm for fuzzy grey relational analysis for the evaluation of information technology outsourcing service...
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