Reliable identification method of intrusion personnel in front of underground moving equipment by Bin LIANG, Guang LI, Guangpeng SHAN

“…The industrial applicability of the proposed personnel target detection algorithm is verified through industrial experiments. …”
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An Operating Status Analysis System of Reactor Equipment Based on Voiceprint Recognition Technology by Litan Cao, Huabing Wei, Zhi Huang, Minglei Shi

“…Through experiments, it was found that aiming at the additive superposition problem of transformer sound generated by a stable working condition and unstable instantaneous noise, a new method based on the cosine similarity algorithm was proposed to realize the separation detection of sound pattern superposition. …”
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Wind Turbine SCADA Data Imbalance: A Review of Its Impact on Health Condition Analyses and Mitigation Strategies by Adaiton Oliveira-Filho, Monelle Comeau, James Cave, Charbel Nasr, Pavel Côté, Antoine Tahan

“…An extensive public SCADA database could ease the problem of abnormal data scarcity and help handle the problem of data imbalance. …”
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Synchrophasor-Based Out-of-Step Prediction in Large Grids by Zainab Alnassar, S. T. Nagarajan

“…In this paper, synchrophasor-based bus voltage angle measurement has been used for early prediction of OOS condition in power systems. A new algorithm has been formulated for both generator and tie lines based on the trajectory of first and second derivatives of the bus voltage phase angle for early detection of OOS condition. …”
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Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network. by Minan Tang, Hongjie Wang, Jiandong Qiu, Zhanglong Tao, Tong Yang

“…The large-scale integration of offshore wind power into the power grid has brought serious challenges to the power system power quality. Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”
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Congestion control strategy of VANET channel based on load prediction by Yang Ge, Zhu Yonghao

“…In the VANET, excessively high vehicle density will cause channel congestion, and the occurrence of channel congestion will seriously affect the performance of the cooperative vehicle safety system. Aiming at this problem, a C2SLP congestion control strategy based on the prediction of vehicle network channel load is designed. …”
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Cooperative spectrum sensing scheme against SSDF attack based on ESD test in radio network by Lichun XIE, Chunqin ZHANG

“…Firstly, the differential evolution algorithm and weighted gain combining soft decision scheme were combined to form an efficient node decision fusion mechanism. …”
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Design and Implementation of High Frequency Broadband Gbit/s System Based on MIMO-OFDM by Junyu Peng, Sunzeng Cai, Zhenghang Zhu, Jing Xu, Ting Zhou

“…Spectrum bands below 6 GHz have been crowded currently,but demand for high speed wireless communication in low speed environment is growing.Research and development of high-frequency wireless communication system is an important way to alleviate this problem.System structure for high frequency broadband communication was proposed.Physical layer key algorithm such as synchronization,channel estimation and MIMO detection was described briefly.The high frequency broadband Gbit/s system based on MIMO-OFDM was implemented on FPGA based hardware platform.Bandwidth and data rate of the system was tested in indoor environment.Test result shows that performance of the system conforms to design requirements.…”
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LittleFaceNet: A Small-Sized Face Recognition Method Based on RetinaFace and AdaFace by Zhengwei Ren, Xinyu Liu, Jing Xu, Yongsheng Zhang, Ming Fang

“…Additionally, a multi-object tracking algorithm is used to solve the problem of moving occlusion. …”
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Application of DE-RF and Fuzzy Model in Camber Control of Hot Rolled Strip by WEI Zhipeng, CUI Guimei, PI Lixiang, LI Tianhao

“… In order to solve the problem of slab bending affecting strip quality in 2250mm hot strip rolling process, a method based on data fusion and expert experience is proposed to apply to slab bending control system.Firstly, the differential evolution algorithm is established to optimize the stochastic forest regression model to solve the problem of insufficient accuracy of slab detection lag prediction.The model can effectively predict the bending value of the slab at the exit of the third pass roughing mill, and the estimated error is 96.3% of the slab within the allowable range.Then a fuzzy model is established according to the expert experience and data to solve the manual operation uncertainty problem.The model gets the roll slit tilt value twice respectively, and the experimental results show that the calculated value of the fuzzy model has a small error compared to the actual value and it can provide the roll gap tilt value reliably.Finally, the two roll gap tilt values are added together as the second roll gap tilt value. …”
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A Multi-Mode Recognition Method for Broadband Oscillation Based on Compressed Sensing and EEMD by Jinggeng Gao, Honglei Xu, Yong Yang, Haoming Niu, Jinping Liang, Haiying Dong

“…To ensure the safety and stability of a power system, this paper presents a new recognition method of broadband oscillation information, which combines compressed sensing (CS) technology and an ensemble empirical mode decomposition (EEMD) algorithm to solve the problem of wideband oscillation recognition. …”
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Hydroacoustic Bottom Soil Profiling Device with Synthetic Aperture by A. V. Vagin, A. S. Vorotyntseva

“…However, under lower operating frequencies, the difficulty of achieving the required resolution arises. The problem of improving the angular resolution of a hydroacoustic device, particularly in the direction of the carrier movement, remains to be a priority task in the search and detection of objects on the seabed, as well as the study of the bottom soil structure. …”
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Research on Feature Extraction Method and Process Optimization of Rolling Bearing Faults Based on Electrostatic Monitoring by Ruochen Liu, Han Yin, Jianzhong Sun, Lanchun Zhang

“…Electrostatic detection is a highly accurate way to monitor system performance failures at an early stage. …”
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Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

“…The research results indicate that the algorithm excels in cleaning effectiveness, efficiency, accuracy, and rationality of data deletion. …”
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Development of a multi-level feature fusion model for basketball player trajectory tracking by Tao Wang

“…The research results indicated that in the object detection experiment, the detection time of the proposed object detection algorithm was always below 0.4 s, and its average accuracy reached up to 0.63. …”
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A Review of Common Techniques for Visual Simultaneous Localization and Mapping by Yong Dai, Jiaxin Wu, Duo Wang

“…SLAM technology involves robot mechanism kinematics, logic, mathematics, perceptual detection, and other fields. However, it faces the problem of classifying the technical content, which leads to diverse technical frameworks of SLAM. …”
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DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants by Yixin Guo, Jinchao Pan, Xueying Wang, Hong Deng, Hong Deng, Mingliang Yang, Mingliang Yang, Enliang Liu, Qingshan Chen, Qingshan Chen, Rongsheng Zhu, Rongsheng Zhu

“…After 200 epochs, the recognition results of various object detection algorithms were compared to obtain the optimal model. …”
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Optimizing Trade-Offs in Reliability, Security, and Freshness for Integrated Communication, Sensing, and Over-the-Air Computing by Tianyu Ren, Miao Zhang, Fangyu Wang, Kaiyuan Zheng

“…It proposes a multi-objective minimization problem that includes the security information age violation probability, AirComp error, and target detection error. …”
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SLIPT-Assisted Dual-Hop VLC/RF With Relay Selection: Outage Probability Analysis and Optimization by van Khoe Ta, Ic-Pyo Hong, Giang N. Tran

“…To solve the optimization problem, the particle swarm optimization (PSO) algorithm is deployed and modified to attain the optimal solution. …”
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A Fault-Tolerant Multiple Sensor Fusion Approach Applied to UAV Attitude Estimation by Yu Gu, Jason N. Gross, Matthew B. Rhudy, Kyle Lassak

“…The attitude estimation problem is used as a case study for the multiple sensor fusion algorithm design, with information provided by a set of low-cost rate gyroscopes, accelerometers, magnetometers, and a single-frequency GPS receiver’s position and velocity solution. …”
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