2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)最新文献_第5页

A review of fault tolerant control based on Model Predictive Control 基于模型预测控制的容错控制研究进展

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023667

Rui Liu, Y. Li

引用次数: 0

Event-triggered secure observer-based control for cyber-physical systems via candidate selection technique 基于候选选择技术的基于事件触发安全观察者的网络物理系统控制

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023735

Jie Su, Xiaolong Qian, An-Yang Lu

引用次数: 0

Online Actor-critic Network Algorithm to Solve infinite-Horizon Optimal Tracking Control Problem for Discrete-time Systems 求解离散系统无穷水平最优跟踪控制问题的在线行为评价网络算法

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023621

Mei Li, Zhong Ming, Jiayue Sun

引用次数: 0

Combining multi-scale convolutional neural network and Transformers for EEG-Based RSVP detection 结合多尺度卷积神经网络和变压器的脑电图RSVP检测

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023688

Gai Lu, Yi-Feng Zhang, Xingxing Chu, Yingxin Liu, Yang Yu

{"title":"Combining multi-scale convolutional neural network and Transformers for EEG-Based RSVP detection","authors":"Gai Lu, Yi-Feng Zhang, Xingxing Chu, Yingxin Liu, Yang Yu","doi":"10.1109/YAC57282.2022.10023688","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023688","url":null,"abstract":"Rapid serial visual presentation (RSVP) is an effective brain-computer interface (BCI) technique for recognizing target objects. Decoding the subject’s intention from the single-trial electroencephalogram (EEG) signal through a decoding algorithm is the key to RSVP-based BCI. The unavoidable noise and variability between trials in EEG signals lead to low accuracy of EEG-based RSVP detection and low universality of the model. It is necessary to develop an EEG decoding algorithm with robust generalization ability and high recognition accuracy. In this study, we proposed a novel end-to-end model architecture that combines multi-scale spatiotemporal convolutional neural network (CNN) and Transformers. Specifically, the multi-scale CNN is used to capture spatiotemporal features at different scales, while the Transformers are used to extract the most discriminative global information. Experimental results on the RSVP-based benchmark datasets show that the proposed method in this study can achieve higher recognition accuracy compared to the other three advanced methods in both cross-subject and within-subject experiments. The results of fine-tuning experiments using pre-trained models on a new subject show that better results can be obtained in single-subject experiments using only a small amount of data. The experimental results validate the effectiveness of our method and provide a new idea for constructing a feature extraction method with better generalization capability for RSVP-based BCI.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121549093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distance-only Measurements Based Distributed Shape Formation for Multi-Agent System 基于距离测量的多智能体系统分布式形状形成

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023834

Yubo Zhang, Hui Liu, Fangyuan Li

引用次数: 0

Experimental Study on the Non-linear Influence of Environmental Parameters on the Power Loss for the Three-phase Distribution Transformer 环境参数对三相配电变压器功率损耗非线性影响的实验研究

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/yac57282.2022.10023661

Xiang Chen, Zhenghao Chai

{"title":"Experimental Study on the Non-linear Influence of Environmental Parameters on the Power Loss for the Three-phase Distribution Transformer","authors":"Xiang Chen, Zhenghao Chai","doi":"10.1109/yac57282.2022.10023661","DOIUrl":"https://doi.org/10.1109/yac57282.2022.10023661","url":null,"abstract":"Distribution transformer, one of the significant equipment in the power system, is crucial to operating safely and stably. At present, most power equipment takes regular inspection for troubleshooting, which consumes time and labor. According to the working principles of the transformer, we made a theoretical derivation to the power loss of power transformers with a simplified equivalent circuit. Such power loss is mainly determined by the road, and also can be slightly changed by the changes of environmental parameters. Therefore, this paper proposes an empirical experimental scheme for the influence of environmental temperature and humidity on the active power loss of the distribution transformer. The experimental results show the active power loss with the load and environmental parameters of the distribution transformer in real-time operation. Through the comparative analysis of the power loss data of distribution transformers under different loads, temperatures and humidity of environment, we preliminarily verified that the active power loss of a three-phase distribution transformer is affected by its load and environmental parameters, and has a nonlinear correlation.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122231603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Virtual Hand-Gesture Interaction System based on SRHandNet with High Frame Rate 基于SRHandNet的高帧率虚拟手势交互系统

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/yac57282.2022.10023852

Wei Wei, Zesong Yang, Qianru Li, Sirui Tao

{"title":"Virtual Hand-Gesture Interaction System based on SRHandNet with High Frame Rate","authors":"Wei Wei, Zesong Yang, Qianru Li, Sirui Tao","doi":"10.1109/yac57282.2022.10023852","DOIUrl":"https://doi.org/10.1109/yac57282.2022.10023852","url":null,"abstract":"Hand gesture recognition plays an important role in virtual human-computer interaction systems. However, existing methods often rely on a variety of smart sensors or data gloves, which significantly increases the cost and threshold of research in this area. Therefore, this paper sets out to hand key points recognition from a low-cost monocular camera. Previous research on hand key points recognition with monocular cameras suffer from high latency and instability since they process each frame independently via a traditional deep learning backbone that cost much computing power. To alleviate this issue, we build a real-time interaction system with a monocular camera based on SRHandNet, which is a simplified and qualified deep neural network model on hand detection. We modify the original model with TensorRT and Kalman Filtering, intending to achieve a more stable and efficient application for both windows and edge platforms(e.g. NVIDIA Jetson), on which the capturing frame rate of the interaction system is doubled. With the estimation of camera position, we realized the mapping between 2D and 3D hand key points, achieving virtual human-machine interaction. A series of experiments validated the superiority of the proposed model over baselines, suggesting that this work may have great prospect in model deployment and hand pose recognition in augmented reality applications.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122231957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

State of Energy Estimation of Electric Vehicle Based on GRU-RNN 基于GRU-RNN的电动汽车能量状态估计

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023893

Li Liu, Chunxi Li, Xiang Li, Quanbo Ge

引用次数: 0

Implementation of Linear Extended State Observer for Sensorless Control of PMSM based on HF Pulsation Signal Injection 基于高频脉冲信号注入的线性扩展状态观测器在永磁同步电机无传感器控制中的实现

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023718

Haochen Yang, Dongxue Wang, Xu Li, Zhonghua Wang

引用次数: 0

Research on Short-term Traffic Flow Prediction Based on Wavelet Neural Network with Improved Genetic Algorithm 基于改进遗传算法的小波神经网络短期交通流预测研究

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023717

Shikun Liu, Huiwen Xia, Kai Mei, Qiang Luo

引用次数: 0