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Mobile edge computing (MEC) has recently emerged as an important paradigm to bring computation and cache resources to the edge of core networks. However, the resources of edge network are relatively limited, so it is necessary to cooperate with data center (DC) which has sufficient computational resources. In this paper, we aim at designing a computation offloading and data caching model under the...
Conventional model-predictive control (MPC) achieves good steady-state performance and quick dynamic response. However, a lot of calculations are needed when deciding the best voltage and objective function selected process needs time-consuming tuning work. To solve these problems. In this paper, the objective function of predictive control is analyzed for asynchronous AC motor. By means of mathematical...
Aiming at the control and optimization problem of blast furnace gas (BFG) systems in the steel industry, a knowledge-based optimal control algorithm combining fuzzy rules extraction with neural networks (NNs) ensemble-based prediction is proposed. On one hand, a fuzzy model is designed to extract the expert control knowledge from the historical data of the industrial process after community detection,...
As more processing cores are integrated into one chip and the feature size continues to shrink, the increasing on-chip access latency complicates the design of the on-chip last-level cache for chip multiprocessors. At the same time, the overhead of maintaining on-chip directory cannot be ignored as the number of processing cores increasing. There is an urgent need for scalable organization of on-chip...
Camera calibration is a necessary step in using 3D computer vision to extract metric information from 2D images. Based on the positioning theory of the linear-structured-light, this paper analyses and compares the three popular calibration methods: typical linear calibration, Tsai’s two-stage calibration and Zhang’s planar pattern calibration in the aspects of referenced objects, arithmetic and precision...
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