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In this paper, we propose a cooperative contract approach to study the optimal energy-communication resource sharing for mobile cloud computing between energy-poor mobile devices and data-poor mobile devices. Specifically, an energy-poor mobile device with an energy harvesting module harvests energy from a data-poor mobile device through power splitting policy. In reciprocity, the energy-poor device...
Real-time functional magnetic resonance imaging (rtfMRI) is an emerging approach for studying the functioning of the human brain. Computational challenges combined with high data velocity have to this point restricted rtfMRI analyses to studying regions of the brain independently. However, given that neural processing is accomplished via functional interactions among brain regions, neuroscience could...
The scale of functional magnetic resonance image data is rapidly increasing as large multi-subject datasets are becoming widely available and high-resolution scanners are adopted. The inherent low-dimensionality of the information in this data has led neuroscientists to consider factor analysis methods to extract and analyze the underlying brain activity. In this work, we consider two recent multi-subject...
In this paper, the impacts of mobility on the performance of angle of arrival (AoA) based physical layer secret key (PLSK) is investigated. Specifically, security probability (SP) and consistency probability (CP) are derived to describe the effects of mobility. Moreover, effective key generation rate (EKGR) is defined to evaluate more comprehensively and accurately how the speed in mobile scenario...
CNN has shown excellent performance on object recognition based on huge amount of real images. For training with synthetic data rendered from 3D models alone to reduce the workload of collecting real images, we propose a concatenated self-restraint learning structure lead by a triplet and softmax jointed loss function for object recognition. Locally connected auto encoder trained from rendered images...
Capacity shortage problem extensively occurs in the developing countries. Microgrids comprising of distributed generation provides a solution to this capacity shortage problem. However an optimal capacity expansion-planning of the distributed generation in a microgrid is necessary to satisfy the load demand most economically. In current research the capacity expansion-planning of distributed generation...
Full correlation matrix analysis (FCMA) is an unbiased approach for exhaustively studying interactions among brain regions in functional magnetic resonance imaging (fMRI) data from human participants. In order to answer neuroscientific questions efficiently, we are developing a closed-loop analysis system with FCMA on a cluster of nodes with Intel® Xeon Phi™ coprocessors. Here we propose several ideas...
E-tailers play an important role in peoplepsilas daily life. This paper, through an empirical approach and quantitative data analysis, investigates the relationship between the E-tailerpsilas performance, its pricing ability, and the attributes of e-market. A survey done in East China, Shandong, Jiangsu and Zhejiang. The results leads to a conceptual model of successful e-business, showed that e-tailing...
This paper investigates the factors that may have great affects on the business of private online firms using e-commerce technology in Zhejiang province, China. Our findings, based on the surveys of 149 Internet enterprises in Zhejiang province, China, show that technology acknowledgement and educational level play very important roles in online entrepreneurship, followed by learning ability and bandwagon...
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