This paper presents a method of phase-shift control in two-beam laser interference lithography. In the method, a PZT actuator is used to push a mirror and introduce phase shifts in a He-Ne laser interference lithograp...
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Memory-based collab.rative filtering algorithms have been widely adopted in many popular recommender systems, however the rating data are very sparse, which affects prediction accuracy greatly. To solve this probl...
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Memory-based collab.rative filtering algorithms have been widely adopted in many popular recommender systems, however the rating data are very sparse, which affects prediction accuracy greatly. To solve this problem, we use expert opinions to improve prediction accuracy. Firstly, we propose a novel similarity measure in order to highlight users' background. Then, combining users' ratings with expert opinions, the prediction get a right balance in both expert professional opinions and similar users. Finally, since SVD-based collab.rative filtering algorithms shows good performance on the prevention of noise, we use it to smooth the prediction. Experiments of MovieLens have shown that our proposed method improves recommendation quality obviously.
Network coding is able to address output conflicts when fanout splitting is allowed for multicast switching. Hence, it successfully achieves a larger rate region than non-coding approaches in crossbar switches. Howeve...
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Network coding is able to address output conflicts when fanout splitting is allowed for multicast ***,it successfully achieves a larger rate region than non-coding approaches in crossbar ***,network coding requires la...
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Network coding is able to address output conflicts when fanout splitting is allowed for multicast ***,it successfully achieves a larger rate region than non-coding approaches in crossbar ***,network coding requires large coding buffers and a high computational cost on encoding and *** this paper,we propose a novel Online Network Coding framework called Online NC for multicast switches,which is adaptive to constrained ***,it enjoys a much lower decoding complexity by a Vandermonde matrix based approach,as compared to conven-tional randomized network coding Our approach realizes online coding with one coding algo-rithm that synchronizes buffering and ***,we significantly reduce requirements on buffer space,while also sustaining high *** confirm the superior advantages of our contributions using empirical studies.
With the development of high-speed railway, its security problem gained more and more attention. Noise data collected by sensors reflected the operation condition and was close related to the security of train. The ef...
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With the development of high-speed railway, its security problem gained more and more attention. Noise data collected by sensors reflected the operation condition and was close related to the security of train. The efficiency of processing data became significant due to the volume of data growing at an unprecedented rate. It was a challenge to process massive noise data effectively. A method for preprocessing massive noise data based on MapReduce was proposed by use of the idea of parallel computing. The experiments on Hadoop platform prove that the proposed method can improve the efficiency of preprocessing massive noise data.
The distribution and heterogeneity of data resources in loosely coupled distributed environments bring the challenges to data mining applications, because the parallelism and collab.ration of nodes should be considere...
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Association rules mining is a method for discovering interesting relations between variables in large databases. In data mining systems/platforms, association rules mining process is always treated as a black-box and ...
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In current social computing system, not only hardware but also software experiences a directly discarded mode. Such directly discarded mode may result in huge waste. The major challenge in green computing is the recyc...
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In current social computing system, not only hardware but also software experiences a directly discarded mode. Such directly discarded mode may result in huge waste. The major challenge in green computing is the recyclab.lity of the computing system. In order to address this challenge in the software field, this paper proposes a design idea of green software embodying the adaptability and recyclab.lity. The adaptable and recyclab.e strategy may consist of two phases. The first one is compressing the increasingly deeper software stack, another one is keeping the functionality recycling and code reuse. The adaptability and recyclab.lity mean automatically decomposing the complex software into several parts which are ease to be reused and automatically selecting the feasible parts for the on-writing software. And we also explore the system software design path to adaptability and recyclab.lity in our previous work as well as in the future.
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