The Copenhagen climate conference 2009 has concluded that we have to change the way how we live. Currently, several carbon management systems are being developed to meet enterprises' requirement. In addition, a nu...
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The Internet of Things (IoT)–enabled healthcare environment irregularly requires the resources from the Cloud to handle massive amounts of data, which impacts the response times of the Cloud. A typical healthcare app...
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In this paper, we present a peer-to-peer file sharing platform combined with Data Grid system for mobile devices. Facing the limit of network bandwidth and unstable signal strength in wireless network, wireless peer-t...
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With the development of electronic of government and business, the implementation of these services are increasing the demand for servers, each year a considerable number of the procurement server and out of the serve...
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In this paper,the state-of-the-art parallel computational model research is *** will introduce various models that were developed during the past *** to their targeting architecture features,especially memory organiza...
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In this paper,the state-of-the-art parallel computational model research is *** will introduce various models that were developed during the past *** to their targeting architecture features,especially memory organization,we classify these parallel computational models into three *** models and their characteristics are discussed based on three generations *** believe that with the ever increasing speed gap between the CPU and memory systems,incorporating non-uniform memory hierarchy into computational models will become *** the emergence of multi-core CPUs,the parallelism hierarchy of current computing platforms becomes more and more *** this complicated parallelism hierarchy in future computational models becomes more and more important.A semi-automatic toolkit that can extract model parameters and their values on real computers can reduce the model analysis complexity,thus allowing more complicated models with more parameters to be *** memory and hierarchical parallelism will be two very important features that should be considered in future model design and research.
This paper describes the core of an spontaneous service provision framework offering general functionality based on objects in Internet of Things. The framework supports sensor, wireless network and end system based o...
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Surgical video workflow analysis has made intensive development in computer-assisted surgery by combining deep learning models, aiming to enhance surgical scene analysis and decision-making. However, previous research...
Surgical video workflow analysis has made intensive development in computer-assisted surgery by combining deep learning models, aiming to enhance surgical scene analysis and decision-making. However, previous research has primarily focused on coarse-grained analysis of surgical videos, e.g., phase recognition, instrument recognition, and triplet recognition that only considers relationships within surgical triplets. In order to provide a more comprehensive fine-grained analysis of surgical videos, this work focuses on accurately identifying triplets from surgical videos. Specifically, we propose a vision-language deep learning framework that incorporates intra- and inter- triplet modeling, termed I2TM, to explore the relationships among triplets and leverage the model understanding of the entire surgical process, thereby enhancing the accuracy and robustness of recognition. Besides, we also develop a new surgical triplet semantic enhancer (TSE) to establish semantic relationships, both intra- and inter-triplets, across visual and textual modalities. Extensive experimental results on surgical video benchmark datasets demonstrate that our approach can capture finer semantics, achieve effective surgical video understanding and analysis, with potential for widespread medical applications.
This paper proposes a six-layer conceptual architecture for spontaneous service provision. In the architecture, techniques of context-aware, semantic reasoning and service composition are smoothly synthesized. A dynam...
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Presents a detailed characterization of Java application and applet workloads in terms of reuse and sharing of Java code at the program, class and method level. In order to expose more sharing opportunities, technique...
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Due to overall popularity of the Internet, e-learning has become a hot method of learning in recent years. Through the Internet, learners can freely absorb new knowledge without the restriction of time and place. Many...
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ISBN:
(纸本)0769520731
Due to overall popularity of the Internet, e-learning has become a hot method of learning in recent years. Through the Internet, learners can freely absorb new knowledge without the restriction of time and place. Many companies have adopted e-learning to train their employees. The e-learning system can make an enterprise more competitive by increasing the knowledge of its employees. As we know, e-learning has become one of the most potential e-commerce businesses. At present, most e-learning environment architectures are in consideration of a single computer or server as its erecting foundation. As soon as its work load increases, the software and hardware need to be updated or renewed;this is a big burden to a company with insufficient budget. Thus, in this research we employ a kind of Grid computing technology, called "Access Grid", to integrate the idle computer resources in an enterprise into an e-learning platform for substituting the purchase of costly high-level server and equipment. The Access Grid supports group-to-group communication via high-speed networking over the Internet. It provides high quality audio and real-time video interactive interface for e-learning users. All the hardware cost is reasonable so that companies or academies can easily set up their own Access Grid Node. By using Access Grid technologies, enterprises can integrate their training materials into knowledge repository such as "Data Grid" as the e-learning VOD platform so that the knowledge can be shared and published more flexibly and widely.
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