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Improved High Speed Flame Detection Method Based on YOLOv7 被引量:6
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作者 hongwen du Wenzhong Zhu +1 位作者 Ke Peng Weifu Li 《Open Journal of Applied Sciences》 CAS 2022年第12期2004-2018,共15页
In order to solve the problems of the traditional flame detection method, such as low detection accuracy, slow detection speed and lack of real-time detection ability. An improved high speed flame detection method bas... In order to solve the problems of the traditional flame detection method, such as low detection accuracy, slow detection speed and lack of real-time detection ability. An improved high speed flame detection method based on YOLOv7 is proposed. Based on YOLOv7 and combined with ConvNeXtBlock, CN-B network module was constructed, and YOLOv7-CN-B flame detection method was proposed. Compared with the YOLOv7 method, this flame detection method is lighter and has stronger flame feature extraction ability. 2059 open flame data sets labeled with single flame categories were used to avoid the enhancement effect brought by high-quality data sets, so that the comparative experimental effect completely depended on the performance of the flame detection method itself. The results show that the accuracy of YOLOv7-CN-B method is improved by 5% and mAP is improved by 2.1% compared with YOLOv7 method. The detection speed reached 149.25 FPS, and the single detection speed reached 11.9 ms. The experimental results show that the YOLOv7-CN-B method has better performance than the mainstream algorithm. 展开更多
关键词 Light Weight Detection of Flame YOLOv7-CN-B YOLOv7 ConvNeXt
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Research on the construction and practice of the evaluation system of postgraduate supervision 被引量:1
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作者 Wanzeng Kong Yong Peng +3 位作者 hongwen du Jianjiang Pan Junying Fu JiangrongXu 《Data Science and Informetrics》 2022年第3期49-63,共15页
In recent years,with the rapid development and expansion of postgraduate education in China,the cultivation quality has become increasingly prominent.In graduate education activities,there are many factors that affect... In recent years,with the rapid development and expansion of postgraduate education in China,the cultivation quality has become increasingly prominent.In graduate education activities,there are many factors that affect the quality of cultivation,among which the tutor’s guiding ability is undoubtedly the key factor that affects the quality of graduate students’cultivation.In the 2020 National Graduate Education Conference,one of its topics is how to objectively quantify the guiding ability of supervisors based on which the teaching resources can be optimally allocated.Taking Hangzhou Dianzi University as an example,this paper investigates the index systems to evaluate the guiding ability of graduate students’supervisors including 6 first-level indicators and 19 second-level indicators in order to further improve the cultivation performance of graduate students. 展开更多
关键词 Postgraduate students SUPERVISOR Guiding ability Evaluation index systems
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