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A recent literature review shows that approximately 20–50% of energy/cost savings are possible in office buildings when accurate occupancy information is applied to the control of building energy systems. Implicit occupancy sensing, by extracting occupancy data from systems already in the building rather than from those explicitly designed to collect occupancy information, has the potential to provide...
With the arrival of the big data era, information privacy and security issues become even more crucial. The Mining Associations with Secrecy Konstraints (MASK) algorithm and its improved versions were proposed as data mining approaches for privacy preserving association rules. The MASK algorithm only adopts a data perturbation strategy, which leads to a low privacy-preserving degree. Moreover, it...
This paper presents a novel ontological view-based semantic transformation method to address the semantic heterogeneity design issue of open distributed information systems. After carefully reviewing the traditional ontology definitions, this work extends the ontological view concept to represent the partial knowledge about the same business domain in an open environment where common ontology does...
Virtual enterprise (VE) is the prime organization pattern of manufacturing in the 21st century, which generally is regarded as a management method for entity enterprise (EE), namely traditional enterprise, to realize agile manufacture using exterior resources. VE's performance management may be considered as the extension of the entity enterprise performance management. Based on the balanced score...
This paper presents a Service-Oriented Coordinated Intelligent Rational Agent (SO-CIR-Agent) model to address three design issues of open Cooperative Distributed Systems (CDS): autonomy, distribution, and heterogeneity. This work incorporates the service-oriented design paradigm, agent-oriented design paradigm, and Web service technology as supporting pillars by extending the CIR-agent model so that...
This paper proposed a video metadata information based method for video retrieval. Extracting key frames and forming video abstract first, and then segmenting the key frames into two parts-background and theme, calculating their gray-scale distribution and probability density, and then making up video metadata, and finally retrieving information through structuring video metadata. Experiment shows...
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