王增才山东大学主页平台管理系统--中文主页

王增才

学位：工学博士学位
职称：教授
所在单位：机械工程学院

教师英文名称：Zengcai Wang
教师拼音名称：wangzengcai
出生日期：1964-03-21
入职时间：2003-12-01
所在单位：机械工程学院
学历：研究生(博士后)
办公地点：济南市经十路17923号创新大厦1316
性别：男
在职信息：在职
毕业院校：中国矿业大学（北京）
是否在职：0

论文成果

[16] 王增才. 基于改进随机森林的驾驶员视线估计的方法. 传感器与微系统, 2021.
[17] 王增才. Integrating SINS Sensors with Odometer Measurements for Land Vehicle Navigation System. Journal of Applied Science and Engineering, 2019.
[18] 王增才. Performance Analysis of Natural gamma-Ray Coal Seam Thickness Sensor and Its Application in Automatic Adjustment of Shearer's Arms. JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2020.
[19] 王增才. 基于由粗到精定位的列车驾驶员瞳孔和眼角点检测. 《铁道学报》, 2019.
[20] 杨增福. An Optimization Design of Adaptive Cruise Control System Based on MPC and ADRC. ACTUATORS, 10, 2021.
[21] 李云霞. Motion Characteristics of a Clutch Actuator for Heavy-Duty Vehicles with Automated Mechanical Transmission. ACTUATORS, 10, 2021.
[22] 闫明. Precise Shearer Positioning Technology Using Shearer Motion Constraint and Magnetometer Aided SINS. Mathematical Problems in Engineering, 2021, 2021.
[23] 范佳城. Research on vehicle attitude and heading reference system based on multi-sensor information fusion. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 234, 3056, 2020.
[24] Zhao, Lei. Driver drowsiness recognition via transferred deep 3D convolutional network and state probability vector. MULTIMEDIA TOOLS AND APPLICATIONS, 79, 26683, 2020.
[25] 王增才. Driver Drowsiness Estimation Based on Factorized Bilinear Feature Fusion and a Long-Short-Term Recurrent Convolutional Network. information, 11, 542, 2020.
[26] 王增才. 基于多传感器的车辆多工况航姿参考系统研究. 电子设计工程, 28, 90, 2020.
[27] 王增才. Adaptive cruise control system with traffic jam tracking function based on multi-sensors and the driving behavior of skilled drivers. Advances in Mechanical Engineering, 2018.
[28] 王增才. Eye state recognition based on deep integrated neural network and transfer learning. MULTIMEDIA TOOLS AND APPLICATIONS, 2018.
[29] 王增才. Driver drowsiness detection using facial dynamic fusion information and a DBN. IET Intelligent Transport Systems, 2018.
[30] 王增才. Smart Shift Decision Method Based on Stacked Autoencoders. Journal of Control Science and Engineering, 2018.

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