Normal07.8 磅02falsefalsefalseEN-USZH-CNX-NONE
高超
部门：北京工商大学计算机与信息工程学院电子信息系
职称：讲师
研究方向：智能检测与控制、数据挖掘与分析
主讲课程：嵌入式系统原理及应用
教育背景：
l 2010.09-2014.06 北京林业大学工学院 自动化 工学学士
l 2014.09-2019.06 北京林业大学工学院 机械工程 工学博士
主要研究成果：近年来发表SCI/EI论文10余篇
联系方式：gaochao9158@btbu.edu.cn
Name: Gao Chao
Academic Posts:
Lecturer, Department of Electronic Information, School of Computer and Information Engineering, Beijing Technology and Business University
Research interests: Intelligent detection and control, Data mining and analysis
Teaching Courses: Principle and application of embedded system
Education:
l 2010.09-2014.06 Bachelor in Automation, School of Technology, Beijing Forestry University
l 2014.09-2019.06 Ph.D. in Mechanical Engineering, School of Technology, Beijing Forestry University
Email: gaochao9158@btbu.edu.cn
Selected Publications:
[1]Gao C，Zhao Y，Zhao Y D. A Novel Sensor for Noninvasive Detection of in Situ Stem Water Content Based on Standing Wave Ratio[J]. Journal of Sensors, 2019.
[2]Gao C, Zhao Y, Zhao Y D. Early Diagnosis Method of Disease and Pest Level on Lagerstroemia indica Based on Stem Water Content[J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(11): 189-194+250.
[3]Gao C, Zhao Y, Zhao Y D. Variation Rule and Estimation Model of Stem Water Content Based on Micro-environment Parameter Set[J]. Transactions of the Chinese Society for Agricultural Machinery, 2017, 48(12): 292-298.
[4]Gao C, Zhang X, Zhao Y, Zhao Y D. Method for Collecting Plant Micro-environment and Physiological Parameters Based on Compressive Sensing[J]. Transactions of the Chinese Society for Agricultural Machinery, 2017, 48(03): 317-324.
[5]Zhao Y D, Gao C, Zhang X, Xu Q. Non-destructive Measurement of Plant Stem Water Content
Based on Standing Wave Ratio[J]. Transactions of the Chinese Society for Agricultural Machinery, 2016, 47(01): 310-316.
[6]Zhao Y D, Gao C, Liu W P, Wang Y Z. Study of Moisture Sensor for High Saline-alkali Soil and High Organic Soil Based on Phase Detection [J]. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(09): 151-158.