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One key technique in Internet of Things(IoT) is localization, which has been an indispensable context for most of the applications in IoT. In this paper, we introduce an indoor location detecting platform based on the passive RFID (Radio Frequency Identification) technology. The major advantage of our platform is that it can be adopted to meet different detection granularity requirement based on the...
With the progress of sensing, computing, communication technologies, ubiquitous computing becomes a hot topic in the research field, by which various kinds of services can be provided to satisfy users. Ubiquitous learning as one application of ubiquitous computing is playing a very important role in our daily life. Training is a kind of learning in ubiquitous environment. During the whole training...
Embedded system technologies are undergoing dramatic change. Competent embedded system engineers are becoming a scarce resource in the industry. Given this, universities should revise their specialist education to meet industry demands. In this paper, a spirally tight-coupled step-by-step educational method, based on an analysis of industry requirements, is proposed. The learning process consists...
The volume and complexity of neurological images have significantly increased, which leads to challenges in efficient data management and retrieval. In this paper, we developed a new content-based image retrieval framework with the localized multiscale Discrete Curvelet Transform (DCvT) features extracted from parametric neurological images. We also compared the performance of three different irregular-to-regular...
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