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- Volume 14, Issue 7, 2021
Recent Advances in Electrical & Electronic Engineering - Volume 14, Issue 7, 2021
Volume 14, Issue 7, 2021
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Analysis of Data Point Cloud Preprocessing and Feature Angle Detection Algorithm
Authors: Feng Zhao and Gaurav DhimanBackground: The two main stages are utilized for feature extraction, from which the first stage consists of a penalty weight to the neighbor graph’s edges. The edge penalty weights are minimized by the neighbor sub-graph extraction to produce the set of feature patterns. For noisy data, the second stage is helpful. Methodology: In order to realize the measurement of the geometric dimensions of the ship block, this paper use Read More
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Study on Automatic Tracking Method of Marking Points in Sports Image Sequence
Authors: Cong H. Pan and Gaurav DhimanBackground: The effect of teaching and training in physical sports is improved by the sports demonstration system. The two-dimensional sports demonstration system is widely applied for the training of athletes. In accurate motion positioning, there exists a certain visual deficiency and the two-dimensional sports demonstration system is analyzed by kinematics. Methodology: Aiming at the problems in the real-time tracking Read More
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3D Visual Motion Amplitude Tracking Simulation Method for Sports
Authors: Ni Zhuo and Anil SharmaBackground: The character motion of 3D animation production is difficult, and to solve this problem, motion-pose capture technology is very effective. The workload of character motion control is reduced by this technique and the animation development is improved. It is used in virtual training grounds and real-time tracking of the motion. The complete contour features cannot be efficiently acquired by the 3D visual mo Read More
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Research on 5G Video Security Communication Technology Based on Massive MIMO
Authors: Guozheng Li, Heling Jiang and Mohammad A. IkbalBackground: The paper aimed at studying a large number of classified and sensitive information transmission security issues brought by 5G mobile communication system. Methods: In this paper, the principle of beamforming and its shortcomings are introduced by combining the large-scale MIMO technology and directional modulation technology, and the directional modulation technology based on antenna subset selection Read More
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Digital Media Animation Control Technology Based on Maya
Authors: Qiang Cui and Anil SharmaBackground: A deep understanding of digital media art is required to promote the development of animation design. Methods: The functions and application effects of animation design were analyzed in detail to improve its quality. In this study, we used Maya embedded language (MEL) to simulate and analyze the walking, running, and jumping effects of animated characters. Results: The results showed that the use of digit Read More
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Comparison of Two Control Strategies for VSC-MTDC with Wind Farm
Authors: Congshan Li, Pu Zhong, Ping He, Yan Liu, Yan Fang and Tingyu ShengTwo VSC-MTDC control strategies with different combinations of controllers are proposed to eliminate transient fluctuations in the DC voltage stability, resulting from a power imbalance in a VSC-MTDC connected to wind farms. First, an analysis is performed of a topological model of a VSC converter station and a VSC-MTDC, as well as of a mathematical model of a wind turbine. Then, the principles and characteristics of DC Read More
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RNN-based Fault Detection Method for MMC Photovoltaic Gridconnected System
Authors: Yuqi Pang, Gang Ma, Xiaotian Xu, Xunyu Liu and Xinyuan ZhangBackground: Fast and reliable fault detection methods are the main technical challenges faced by photovoltaic grid-connected systems through Modular Multilevel Converters (MMC) during the development. Objective: Existing fault detection methods have many problems, such as the inability of non-linear elements to form accurate analytical expressions, the difficulty of setting protection thresholds, and the long detection tim Read More
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Combining Daily Electricity Forecasts Based on DBSCAN and Stacking Fusion
Authors: Zhixing Lv, Sijin Cheng, Yi Wang, Shenzheng Wang, Xinyi Li and Ran RanBackground: Modern upgrades of power grids and a rapidly expanding economy complexify the uncertainties of electricity demand. Objective: The objective of the study is to have a more precise prediction on the demand side, which is beneficial in affirming the stable operation of the power system. Methods: This paper presents a combined electricity forecasting method based on the users clustering and stacking ensemble l Read More
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