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This paper proposes a parallel large neighborhood search-based heuristic for solving the Disjunctively Constrained Knapsack Problem (DCKP), which has an important impact on the transportation issues. The proposed approach is designed using Message Passing Interface (MPI). The effectiveness of MPI's allows us to build a flexible message passing model of parallel programming. Meanwhile, large neighborhood...
In a service-based multi-tenant SaaS application, the number of servers on which Web service instances are deployed are limited, and tenants share the same application and services. With the purpose of lowering cost of ownership by high economies of scale, we must solve the problem that how to optimally place tenants with end users to maximize the total number of tenants without violating their Service...
The complexity of the human brain and the limitation of any one imaging approach motivates the need for multimodal measurements to better understand cerebral processing. A very natural goal is to integrate electrophysiological and hemodynamic activity. Among them, concurrent EEG-fMRI studies have shown great promise for understanding intrinsic brain properties yet analyzing such data presents a significant...
Dynamic route guidance is one of the focal and difficult problems in Intelligent Transportation System(ITS). For the Dijkstra algorithm is difficult to meet the real-time requirement of the dynamic route guidance system, this paper proposes a threshold-based restricted searching area algorithm in the dynamic route guidance system. This algorithm, applied to the complicated urban road network model,...
Near-duplicate image detection is a critical task in copyright protection. More challenging than the common similarity search, this task requires not only the retrieval of the top similar images but also the detection of the entire near-duplicates collection from the Internet. The common similarity search algorithms are not capable to undertake the latter demand. This paper proposes the query oriented...
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