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Feature extraction is an essential step in pattern classification, which is normally divided into two tasks: transforming the input vector into a feature vector and/or reducing its dimensionality. A well-defined feature extraction algorithm makes the subsequent classification process more effective and efficient. One of the most important feature extraction algorithms is linear discriminant analysis...
To solve peak shaving and abandoning the wind problems caused by the integrate wind generation capacity which is more than certain percentage, and improve the output characteristics of wind power, the mode of constructing the supporting pumped storage power station with wind farm can be adopted. This work is based on modeling the wind farm and pumped storage power plant operation, targets at the hybrid...
In this paper, we consider the weighted sum throughput maximization (WSTM) problem of multicell network with full spectral reuse. The WSTM problem is a nonconvex combinatorial problem, and difficult to tackle in practice. Thus, we present and discuss three low-complexity suboptimal algorithms, which solve the WSTM problem via joint user scheduling and power control (USPC) among a set of coordinating...
The objective of conducting experiments in a laboratory is to gain data that helps in designing and operating large-scale biological processes. However, the scale-up and design of industrial-scale biohydrogen production reactors is still uncertain. In this paper, an established and proven Eulerian–Eulerian computational fluid dynamics (CFD) model was employed to perform hydrodynamics assessments of...
In the dynamic, heterogeneous and widely distributed grid environment, task scheduling is a complex and challenging problem. Because in DBC algorithm, QoS requests are static, either based on time optimisation, or budget optimisation, resource allocation in grid is irrational. To solve the problem, one QoS model based on benefit function is presented in this paper. Also, two algorithms based on benefit...
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