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In the cloud computing environment, one of the most important module is the Scheduler. As the most popular open-source cloud platform, OpenStack provides us with a massive amount of scheduling strategies. But there is no one considering of the hierarchies of the VMs and hosts. We will guarantee the security of VM through these hierarchies. Although OpenStack is abundant in scheduling strategies, none...
In order to establish the fault information platform that across industrial department and operation department, as well as to support improvement of civil aircraft's quality and operator's maintenance capability, based on the research of civil aircraft's fault during the operation phase, including its scope, classification and data collection mechanism, the database system and technical framework...
To provide the elderly with appropriate and timely caregiving in activities of daily life (ADL), it is desired for robots to have the capability of intention awareness (IA). Different from existing context-specific intention awareness (CSIA) approaches which are based on a limited and passive knowledge database, our approach, named ‘WebIA’, adopts a novel web query approach to establish a vast and...
This paper presents a core decision tree algorithm to identify money laundering activities. The clustering algorithm is the combination of BIRCH and K-means. In this method, decision tree of data mining technology is applied to anti-money-laundering filed after research of money laundering features. We select an appropriate identifying strategy to discover typical money laundering patterns and money...
This article studies a paper cutting platform in a comprehensive approach to folk art, folklore, communication, computer and information science focusing on paper-cut in Hebei China. The main content includes: 1) the data collecting and recording of the scattered Chinese folk paper-cut work in Hebei, 2) the digitization, optimization, compression, classification, icon and pattern extraction, vectorization...
Videos are an important source of information and require extremely computation expensive analysis in order to understand the high level semantics. The computational difficulties in extracting embedded information and bridging the semantic gap present the major challenges in interoperability, scalability and real-time response of video analytic systems. In this paper, we propose an intelligent video...
Monitoring and analysis of livestock farm environment require a lot of data obtained from distributed farms. The whole process needs cooperation and collaboration of multiple partners with different backgrounds. A single person will have difficulty performing the full process and bringing those data records together, as the data measurement sites (farms) are far away from each other. This paper presents...
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