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This research coalesces three different approaches to consumer''s adoption of new technology-based service into an integrative model. We use the basic framework of TAM and supplement technology readiness and perceived risk to the model to better address the consumer adoption context. The model is tested with data from 343 web surveys regarding RFID credit card adoption. Results show that technology...
With the development of sensor, wireless mobile communication, embedded system and cloud computing, the technologies of Internet of Things have been widely used in logistics, Smart Meter, public security, intelligent building and so on. Because of its huge market prospects, Internet of Things has been paid close attention by several governments all over the world, which is regarded as the third wave...
The recent emergence of clouds with large, virtualized pools of compute and storage resources raises the possibility of a new compute paradigm for scientific research. With virtualization technologies, consolidation of scientific workflows presents a promising opportunity for energy and resource cost optimization, while achieving high performance. We have developed pSciMapper, a power-aware consolidation...
The purpose of information extraction (IE) is to extract appointed information. It breaks through the limitation that the work of reading, comprehending, IE must all been done by people in information retrieval (IR), and can automatically retrieve, comprehend and extract information. After analyzed the difficulty that WWW encountered, the paper presents the opportunities and challenges of IE.
This paper proposes a novel fine granularity scalability coding framework with hybrid open-close loop structures (KRPS-FGS) based on key reference picture. The open-structure with single prediction loop is exploited to code non-key frames to achieve the best coding efficiency, which uses the highest quality image as the reference picture for both base and enhancement layer. To control drift, some...
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