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This paper presents a dynamic gene and transcriptional regulatory network inferring method by using the time-varying autoregressive (TVAR) model. It employs the Li-based regularization terms with spatial sparsity, temporal continuity and proposed multi-Laplacian prior (MLP) for key transcriptional factors (TFs) and their interactions identification. The MLP regularization allows the connections of...
In today's energy crisis, the mining industry has been identified as a promising area for application of energy efficiency techniques. This paper investigates potential for energy/cost saving, by implementation of variable speed drives (VSDs) on ventilation fans underground. In particular, ventilation on demand is considered in the study i.e. in cases when a mine's ventilation demand may vary throughout...
Thanks to their advantages, such as high storage density and short response time to customers' requests, puzzle-based compact storage systems have been increasingly installed in warehouses and distribution centers recently. This study addresses zone boundary optimization for puzzle-based compact storage systems when a three-class-based storage policy is implemented, in attempting to facilitate system...
This paper focuses on the development of a methodology for calculation of the sizing and optimization of a stand-alone hybrid system. This approach makes use of a deterministic algorithm to suggest, among a list of commercially available system devices, the optimal number and type of units ensuring that the total costs of the autonomous hybrid systems are minimized while guaranteeing the availability...
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