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In the analysis of digital content consumption, session progress provides a good alternative to using manual ratings for measuring user engagement. A good prediction of session progress is useful for optimizing and personalizing the end-user experience. Most prevalent methods of predicting session progress are based on matrix completion and only consider the interaction among users and videos, while...
In this paper, we investigate profit maximization problem in wireless powered communication (WPC) systems, where the profit is defined as the difference between the revenue earned from uplink data transmission and total energy cost of the system. Since the efficiencies of energy harvesting (EH) circuits and battery storage are both non-linear, conventional linear models will lead to suboptimal resource...
Engine testing technology has made great development and gathering the engine data of failure becomes more and more easily. The engine fault recognition method based on data driving has made rapid development. The support vector machine (SVM) is currently a well-known machine learning technique. It has been applied to deal with range of fault recognition problems due to its unique advantages. There...
In order to prevent the malicious attack from reducing the accuracy of aggregation result in wireless sensor networks, it is necessary to perform the attack detection in the received readings of all the sensor nodes before the resilient aggregation processing. However, the detection probability of the attack detection algorithm presented in the literature is small, and its computation complexity is...
In order to manage the increasing amount of RDF data, an RDF repository should provide not only necessary scalability and efficiency, but also sufficient inference capabilities. Though existing RDF repositories have made progress towards this goal, there is still ample space for improving the overall performance. In this paper, we propose a native RDF repository, System II, to pursue a better tradeoff...
Linear auto-regression moving average with extra input (ARMAX) model for air temperature system in a naturally ventilated greenhouse was developed. Outside air temperature, relative humidity, global solar radiation and wind speed were used as disturbing input variables of the model, while inside temperature was used as output variable of the model. Based on energy and mass flows equations, statistic...
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