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- 저자 : Yanfei Gao (검색결과 5 건)
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Design and Application of Intelligent Community Policing Security System based on OC-SVM Algorithm
Yanfei Gao 대한전자공학회 2024 IEIE Transactions on Smart Processing & Computing Vol.13 No.4
With the rapid development of smart communities, the volume of data in the community policing security system is increasing, which poses new challenges to behavioral anomaly monitoring. This paper proposes a behavioral anomaly monitoring method based on the One-Class Support Vector Machine (OC-SVM) algorithm and the MobileNetV3 improved OpenPose model. The fundamental theories of human posture recognition and behavioral anomaly detection are first reviewed, followed by a discussion of the limitations of the traditional OpenPose model. The structure of the MobileNetV3 lightweight network and its application advantages in human posture detection are described in detail. In this study, the feature extraction process was optimized using parallel computing technology to address the shortcomings of the OpenPose model, and an efficient method for monitoring behavioral anomalies was proposed. The test results of the system on the Multiple Cameras Fall dataset showed that the proposed method achieved 86.9% and 84.3% precision and recall for fall detection, respectively, showing significantly improved detection performance compared to the traditional method. The algorithm improvement in this paper provides a new solution for police security monitoring in smart communities, ensuring the safety and well-being of community residents.
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Adsorption of Fluoride Ions from Water by SF/PP Nonwoven Fabrics
Zuoze Fan,Yanfei Gao,Xin Ning,Fukui Pan,Jinfa Ming 한국섬유공학회 2019 Fibers and polymers Vol.20 No.4
Silk fibroin/polypropylene (SF/PP) nonwoven fabrics were prepared via electrospinning method. The compositematerials combine the advantage of nanofibers with the high specific surface area and the strong affinity toward fluoride. SF/PP nonwoven fabrics were characterized, and the adsorption of fluoride was investigated. The results showed the diameter ofSF nanofibers increased from 950±37 nm to 2400±50 nm in nonwoven fabrics with the increase of SF concentration from5.0 wt% to 10 wt%. Before fluoride adsorption, no crystal particles were deposited on the surface of SF/PP nanofibers. Afteradsorption 5 min, only several white crystals were deposited. Within the increase of adsorption times from 10 min to 60 min,many larger crystals were grown. Fluoride ions were confirmed in crystals by EDS. From adsorption rate curve, the rate offluoride removal was rapid initially and slowed down gradually until it attained equilibrium. At the same time, a largefraction of fluoride ions was removed within 20 min of contact times in all the experimental various studied. Therefore, thisnonwoven fabric has a great potential as a novel adsorbent material for the fluoride removal from drinking water.
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Yanping Zhao,Jianming Gong,Yanfei Wang,Gao Wei 한국강구조학회 2014 International Journal of Steel Structures Vol.14 No.3
Welding residual stresses between 12Cr1MoV and P91 steel pipes were analyzed by experiment and finite element method(FEM). Both measured hoop and axial stresses are in general agree with the simulation results. Meanwhile, to examine the effectof start/stop welding position on residual stresses, a simulation model whose welding passes all started at the same location duringmulti-pass welding was compared with a model whose start/stop positions were uniformly distributed along circumferentialdirection of the dissimilar pipe. The results show that higher residual stresses occurred near the superimposed start/stop positionthan the steady region when calculated by the model whose welding passes all started at the same location. Whereas, start/stopwelding positions which are distributed uniformly along the circumferential direction of the pipe can significantly relieve thiseffect, correspondingly leading to a more uniform residual stress distribution around the multi-pass welded dissimilar pipe.
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Wei Wang,Xuendan Yao,Guiqiang Gao,Yanfei Zhang 한국콘크리트학회 2022 International Journal of Concrete Structures and M Vol.16 No.3
Deterioration characteristics analysis of lining structure has received intense research interests for immersed tube tunnel fire, while a considerable part of the spotlight is on numerical simulation. However, most of existing works consider concrete lining as a macroscopic homogeneous material for simulation analysis, ignoring the difference of its internal components. This paper aims at studying the mesoscopic deterioration characteristics of immersed tube tunnel roof structure towards efficient safety design of immersed tube tunnel roof. In particular, we establish a mesoscopic model of immersed tube tunnel under thermo-mechanical coupling using ANSYS. Compared with the traditional homogeneous approaches, the proposed mesoscopic model can directly simulate the fire degradation process of immersed tube tunnel roof structure, which blazes marvelous trail for related engineering applications. Our extensive simulation results reveal the progressive failure process of micro-cracks initiation, development, expansion and coalescence in the roof of immersed tube tunnel.
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