2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)最新文献_第7页

Design and Experiment of Visual Feedback Control in Tomato Picking Bionic Manipulator 番茄采摘仿生机械手视觉反馈控制设计与实验

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082621

Qiong Wang, De-Shun Kong, Xiaoxuan Xie, Xianhai Yu, Huaibei Xie, Xianwei Bai

{"title":"Design and Experiment of Visual Feedback Control in Tomato Picking Bionic Manipulator","authors":"Qiong Wang, De-Shun Kong, Xiaoxuan Xie, Xianhai Yu, Huaibei Xie, Xianwei Bai","doi":"10.1109/ITNEC56291.2023.10082621","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082621","url":null,"abstract":"Tomato picking has always been a challenge problem. The development of modern agriculture urgently requires the development of intelligent and efficient tomato picking robots. However, existing tomato picking robots lack intelligent feedback capabilities. In this paper, the picking control system of the tomato picking robot is proposed, and the visual feedback control module is designed in the self-developed bionic manipulator. In order to avoid empty picking, an image sensor is integrated in the bionic manipulator and the visual feedback control module is realized based on the YOLOv5s detection algorithm. The precision of the detection model trained on the dataset reaches 99.92%, and the recall reaches 99.89%. The results of picking experiments show that the picking success rate under the visual feedback control module reaches 96%, and the average picking time of a single tomato is 14.54s. Compared with the condition without visual feedback control module, the picking success rate increased by 6%, and the average picking time of a single tomato is reduced by 1.52s. Experimental results show that the proposed visual feedback module can effectively improve the success rate and efficiency of bionic manipulator picking.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116645211","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

Intelligent product design study of contact scene disinfection in post-epidemic era 后疫情时代接触现场消毒智能产品设计研究

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082115

Tianlang Yang, Jiuqiang Fu, Jianming Yang

引用次数: 0

Smart grid edge fault detection architecture 智能电网边缘故障检测体系结构

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082592

Xin Yang, Xiaoyong Yu, Heming Hou, Zongtao Tan, Fan Wu

引用次数: 1

Feedback Aggregation Based Retransmission Scheme for Multi-Hop Wireless Networks 基于反馈聚合的多跳无线网络重传方案

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082591

Qianqian Liu, Bin Zhou, Wei Yu, Z. Bu

{"title":"Feedback Aggregation Based Retransmission Scheme for Multi-Hop Wireless Networks","authors":"Qianqian Liu, Bin Zhou, Wei Yu, Z. Bu","doi":"10.1109/ITNEC56291.2023.10082591","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082591","url":null,"abstract":"Automatic-repeat-request (ARQ) based decode-and-forward (DF) strategy plays an important role in reliable multi-hop communication. However, when a large number of packets need to be transmitted, the overhead for control messages increases significantly and it causes large end-to-end delay which is unacceptable in some emergency scenarios. To minimize the control traffic overhead, we propose a low latency feedback aggregation based packet retransmission protocol for wireless multi-hop networks. The source node transmits data packets within the sliding window constantly. The relay nodes and destination node choose to work with the proposed end-to-end retransmission scheme or the proposed half-way retransmission scheme according to the size of sliding window and the number of hops. In the proposed end-to-end transmission scheme, the destination node sends one ACK packet which includes trans-mission results of all packets in the sliding windows. In the halfway retransmission scheme, the relay nodes send NACK to the previous node for retransmission. Simulation results show that compared with traditional hop-by-hop retransmission, our method can achieve lower latency.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"585 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122723966","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

Classification of Microsatellite Instability Status in Slide-level Annotated Colorectal Tumors by Weakly Supervised Deep Learning 基于弱监督深度学习的结直肠肿瘤微卫星不稳定状态分类

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082276

Xinyi Yuan, Jun Ruan, Junqiu Yue

引用次数: 1

A Cloud-side Collaboration Model-based Offloading Method for Power Tasks 基于云端的协作模型的电力任务卸载方法

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082462

Huan Xie, S. Du, Yue Zhang, Keyu Shuai, Qiuming Zhang

引用次数: 0

Simulation analysis of energy saving potential of electric vehicles 电动汽车节能潜力仿真分析

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082587

Fufan Qu, Wen Wang, Wenbo Li

引用次数: 0

Adaptability Analysis of Directional Element in Photovoltaic-Connected Lines 光伏并网线路中定向元件的适应性分析

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082600

Qiang Huang, Kuan Li, Yudun Li, Ping Geng, Yuntao Sun, Guohui Zhang, Rongqi Fan, Anning Wang

{"title":"Adaptability Analysis of Directional Element in Photovoltaic-Connected Lines","authors":"Qiang Huang, Kuan Li, Yudun Li, Ping Geng, Yuntao Sun, Guohui Zhang, Rongqi Fan, Anning Wang","doi":"10.1109/ITNEC56291.2023.10082600","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082600","url":null,"abstract":"With the economy development, the structure of power system becomes more and more complex, and the structure of high-voltage distribution network tends to be ring network. Therefore, the application of directional elements is more and more extensive. With a large number of distributed photovoltaics connected to the distribution network, the applicability of traditional protection principles has been challenged to some extent. Therefore, the applicability of traditional directional elements has also attracted extensive attention. This paper first analyzes the working principle of the directional element and the short-circuit characteristics of the photovoltaic inverter, and then builds the simulation model, and analyzes the influence of the photovoltaic inverter on the directional element, and the simulation results are analyzed comprehensively. The simulation and analysis results show that the traditional 90 degree directional element can withstand the influence of the mass access of distributed photovoltaic.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"66 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132757041","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

Design of Smart Home Control System Based on Internet of Things 基于物联网的智能家居控制系统设计

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082440

Yujie Wang, Canzhou Chen, Wenjing Zhang

引用次数: 0

DCTNet: A Hybrid Model of CNN and Dilated Contextual Transformer for Medical Image Segmentation DCTNet:一种用于医学图像分割的CNN和扩展上下文变换混合模型

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI: 10.1109/ITNEC56291.2023.10082385

Xiang Pan, Jiapeng Xiong

{"title":"DCTNet: A Hybrid Model of CNN and Dilated Contextual Transformer for Medical Image Segmentation","authors":"Xiang Pan, Jiapeng Xiong","doi":"10.1109/ITNEC56291.2023.10082385","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082385","url":null,"abstract":"Medical image segmentation is a prerequisite for the development of medical systems, especially for disease diagnosis and treatment planning. Due to the inherent limitations of convolutional operations, convolutional neural networks (CNNs), although they have become the consensus for various medical image segmentation tasks, show limitations in extracting remote image features. transformer shows superior performance in extracting remote image features, but it cannot capture low-level features. Existing studies have shown that combining CNN and Transformer can give better results. In this paper, we propose a Transformer module that can effectively combine low-level and high-level features while maintaining feature consistency, leveraging the rich context between adjacent keys, and combining it with the classical model of convolutional neural networks to form a new approach to medical image segmentation that effectively connects CNN and Transformer. We conducted experiments on the dataset. The experimental results show that our proposed algorithm is the best in all segmentation metrics.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134472706","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