作者： Tong Liu，WenDa Xu，YuFeng Liu，SiYuan Liu，XiaoLu Chen （Beijing Institute of Technology）

出处： 第42届中国控制会议 2023

会议录： 第42届中国控制会议

关键词： Generative Adversarial Network；Retinex Model；Low-Light Image Enhancement；Illumination Estimation；Convolutional Neural Network

摘要： Low-light environments can cause severe degradation in the visual quality of captured images,leading to the failure of advanced visual perception algo ...

作者： Yue Yin，Yuxin Dong，Jiale Li，Sixuan Li （Beijing Institute of Technology）

出处： 8th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation （CDMMS 2023） 2023

会议录： 8th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation （CDMMS 2023）

关键词： Exercise heart rate recovery；K-means clustering；Hidden Markov model；Mobile Health APP

摘要： With the further deepening of people’s demand for health, the use of mobile health apps has become more popular. The recovery duration suggestion func ...

作者： MiANDuan Lin，Kaoru Hirota，Yaping Dai，Ye Ji，Shuai Shao （Beijing Institute of Technology）

出处： 第42届中国控制会议 supported by the National Natural Science Foundation of China under Grant 82201753 2023

会议录： 第42届中国控制会议

关键词： Deep learning；Semantic enhancement；Attention mechanism；Polyp image segmentation

摘要： In some polyp feature extraction algorithms based on deep learning,there is a problem of polyp semantic information degradation caused by frequent ope ...

作者： Ziyan Zhao，Xiwei Peng，Yujie Guo，Jianqiang Chen （School of Automation，Beijing Institute of Technology）

出处： 第42届中国控制会议 2023

会议录： 第42届中国控制会议

关键词： Permanent Magnet Synchronous Motor；SVPWM；Sliding Mode Control；Fuzzy Control

摘要： In this paper, a fuzzy sliding mode control algorithm with variable rate reaching law is designed for the permanent magnet synchronous motor（PMSM） vec ...

作者： Chu-ge Wu，Yuanqing Xia （School of Automation，Beijing Institute of Technology）

出处： 第42届中国控制会议 supported by National Natural Science Foundation of China under Grant 62203049 2023

会议录： 第42届中国控制会议

关键词： Fog Computing；Internet of Things；Evolutionary Computation；Online Scheduling；Fuzzy Logic；Resource Management

摘要： With the rapid development of the Internet of Things（IoT）,a large amount of raw data produced by IoT devices must be processed promptly.However,due to ...

作者： Xiangjie Zhu，Baokui Li，Qing Fei，Qiang Wang，Haolin Jia （School of Automation，Beijing Institute of Technology）

出处： 第42届中国控制会议 2023

会议录： 第42届中国控制会议

关键词： SSD；Multimodal Gesture Recognition；Static Gestures；Attention Mechanisms；MobileNet

摘要： Multimodal gesture recognition is a crucial research area in human-computer interaction.This paper proposes a static gesture multimodal recognition te ...

作者： Zhongze Liu，Yi Lu，Yicun Liu （School of Automation，Beijing Institute of Technology）

出处： 第42届中国控制会议 2023

会议录： 第42届中国控制会议

关键词： Deep Reinforcement Learning；Plateau Hypoxic Generator；Miniaturized Design

摘要： Appropriate altitude pre-acclimatization training can effectively reduce the risk of acute altitude sickness among personnel in plateau areas.However, ...

作者： Qihui Zhang，Mengyin Fu，Chaoyang Zhai，Simai Wang，Ke Ning，Meiling Wang （School of Automation，Beijing Institute of Technology）

出处： 第42届中国控制会议 supported by National Natural Science Foundation(NNSF) of China under Grant U1913203，62173042 2023

会议录： 第42届中国控制会议

关键词： Incremental Nonlinear Dynamic Inversion；Angular Accelerometer；Quadrotor UAV；Trajectory Tracking

摘要： Incremental nonlinear dynamic inversion（INDI） is a promising method in unmaned aerial vehicle（UAV） control.However,the angular acceleration in INDI is ...

作者： Shao Guo，Runqi Chai （School of Automation，Beijing Institute of Technology）

出处： 第42届中国控制会议 2023

会议录： 第42届中国控制会议

关键词： Multi-objective Trajectory Optimization；Pits Landing；NSGA-Ⅲ

摘要： Exploring the moon has always been a popular topic among researchers.With the discovery of pits on the moon,researchers have another different option ...

作者： Hao Li，Zigeng Yan，Di-Hua Zhai，Yuanqing Xia （School of Automation，Beijing Institute of Technology）

出处： 第42届中国控制会议 supported by National Natural Science Foundation of China under Grant 62173035 and Grant 61803033 2023

会议录： 第42届中国控制会议

关键词： Medical Image Segmentation；Deep Learning；Dense Connection；Efficient Feature Extraction

摘要： The automatic medical image segmentation technology based on deep learning has achieved high accuracy,but there is a dilemma that the parameters are h ...