{"title":"Improved glove defect detection algorithm based on YOLOv5 framework","authors":"Huibai Wang, Yuxuan Wang","doi":"10.1109/IAEAC54830.2022.9929876","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929876","url":null,"abstract":"Aiming at the problems of low efficiency, poor accuracy and narrow application area of manual detection, this paper proposed a glove defect detection algorithm YOLO-G with high accuracy, low number of parameters and easy deployment. In the preparation phase, data augmentation is performed to expand the dataset, reduce the image size, and increase the data richness. The K-means algorithm is used to calculate anchors. Then Ghostnet is used to replace some structures in the YOLOv5 backbone and Neck, which effectively reduces the size of the model. The attention mechanism is added to make the model more sensitive to key information and improve the detection effect. The experimental results show that the mean average precision of YOLO-G reaches 90.4%, the number of parameters decreases by 47%, and the amount of calculation decreases by 49.4%, which is more suitable for the deployment of embedded scenarios.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122093530","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}
Yutong Wu, Hongxing Kan, Sheng Hu, Haimei Lu, L. Jin
{"title":"Predictive Value of Different rs-fMRI Parameters in Wilson Disease based on SVM","authors":"Yutong Wu, Hongxing Kan, Sheng Hu, Haimei Lu, L. Jin","doi":"10.1109/IAEAC54830.2022.9929496","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929496","url":null,"abstract":"Structural and functional abnormalities have been reported in Wilson's disease (WD) patients. However, the discriminative power of combining multiple features from different analysis techniques has not been systematically investigated. We propose a novel classification technique that precisely distinguishes individuals with WD from healthy individuals. This method combines two different features extracted from resting-state functional magnetic resonance images using Regional Homogeneity (ReHo) and Amplitude of Low-Frequency Fluctuations (ALFF). We employed 32 WD patients and 26 age- and gender-matched healthy controls (HC). Three-dimensional T1 and resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from all participants and used two-sample t-tests to compare the ReHo values and ALFF values between groups. Subsequently, the support vector machine (SVM) classifier with RBF kernel was configured to evaluate the effect of abnormal rs-fMRI parameters in the differentiation of WD patients from HC. The experimental results showed that ALFF was elevated in the pallidum and thalamus and decreased in the orbital part of the inferior frontal gyrus, cingulum, and medial frontal gyrus in WD patients. At the same time, WD patients had increased ReHo in the inferior frontal gyrus, postcentral gyrus, and insula, and decreased in the superior frontal gyrus. Using leave-one-out cross-validation, the combined feature (ReHo + ALFF) yielded good classification result with 91.6% accuracy, 91.07% sensitivity, 86.93% specificity. The results of this paper show that WD patients have ReHo and ALFF abnormalities and that WD patients can be accurately identified when combining ReHo and ALFF features.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122121269","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}
{"title":"Simulation for Balancing of Assembly Line using Heuristics: A Case Study of Automotive Manufacturing Industry","authors":"Musharaf Salam, Xiao-jun Liu","doi":"10.1109/IAEAC54830.2022.9929816","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929816","url":null,"abstract":"The efficiency of production is greatly determined by the assembly line's balance. It entails an even distribution of work among all workstations in order to ensure a smooth flow of work with minimal bottlenecks. The Kilbridge and Wester Column (KWC) is a heuristic approach that is often used in line balancing. The balancing of assembly line of an automotive industry that manufactures the air condition duct ASSY of a car is focused in this study. The Problem reported by management is an unequal allocation of job load across employees resulting in a high ideal time. The assembly line is optimized by using the Kilbridge and Wester Column approach. To test and verify the results, the present and proposed models are simulated using arena software.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116626878","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}
{"title":"Image super-resolution using multi-level high-frequency feature fusion","authors":"Zhiyuan Cai, Junsheng Xiao","doi":"10.1109/IAEAC54830.2022.9929338","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929338","url":null,"abstract":"Recently, single image super-resolution based on deep convolutional neural networks has made significant progress, but there are still problems such as lacking high-frequency texture details and poor visual quality. As the network depth grows, the loss of high-frequency information becomes more and more serious. In this paper, we propose a method to enhance the high-frequency details by fusing multi-level high-frequency features through skip connection and high-pass filters. In order to enhance the representation of global features, our network structure combines both Transformer and channel attention as the base module. Finally, to further improve the visual perceptual quality, we design a contrast loss using gaussian blurred images as negative samples. Comprehensive experiments demonstrate the effectiveness of our method.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129413884","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}
{"title":"Research the optimization of takeoff speed on the climbing performance of domestic large aircraft on plateau airport","authors":"Xiao Haibo, Li He","doi":"10.1109/IAEAC54830.2022.9930066","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9930066","url":null,"abstract":"When the aircraft is operating in the plateau airport, due to the influence of altitude, changeable weather and complex terrain, the climbing performance of the aircraft decreases, which ultimately affects the economy and flight safety of the aircraft. Based on the analysis of the influence of altitude, meteorology, terrain and other factors on the climbing performance of domestic large aircraft operating in Plateau Airport, the mathematical model for calculating the climbing performance of aircraft Plateau Airport is established by using analytical method; At the same time, MATLAB software is used to optimize and simulate the climbing performance of domestic large aircraft flying on the plateau airport. Through simulation, specific restrictions and requirements are put forward for domestic large aircraft to fly on plateau airport. The simulation results show that the optimization of the climbing performance of domestic large aircraft on the plateau airport, can further improve the application prospect of the aircraft.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128387348","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}
{"title":"Mechanical analysis of 500 kV oil-filled submarine power cable in anchor and blade damage based on Finite element method","authors":"Xianpeng Ou, Wenjie Xu, Yuanyuan Zang, H. Wang, Haojiang Wu, Anqiang Lv, Zixuan Zhou","doi":"10.1109/IAEAC54830.2022.9929551","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929551","url":null,"abstract":"Anchor and blade damage are the main factors threatening the safety of submarine power cable operation. In order to analyze the mechanical characteristics of oil-filled submarine power cable after failure., the finite element models of anchor and blade damage of 500kV self-contained oil-filled submarine power cable were established in this paper. The explicit dynamic analysis method is used to simulate the working condition of anchor and blade acting directly on the cable body. The stress and strain distributions of armor layer., insulating layer and conductor layer were mainly analyzed. The result show that the cable armor does not yield but loosen after the anchor damage, the blade damage leads to the armor fracture. Both the insulation layer and the copper conductor yield after anchor and blade damage,and the blade damage is more serious than that of anchor damage. This study can provide data reference for daily operation and fault assessment of oil-filled submarine power cable.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126711305","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}
Yutao Hao, Xiaohan Lin, Chenchao Xia, Feng Xu, Xinzhi Wang
{"title":"Spacecraft Close-range Position Tracking Control via System Uncertainty Observer","authors":"Yutao Hao, Xiaohan Lin, Chenchao Xia, Feng Xu, Xinzhi Wang","doi":"10.1109/IAEAC54830.2022.9929910","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929910","url":null,"abstract":"In this paper, the nonsingular fast terminal sliding mode control for spacecraft close-range position system is investigated with model uncertainty and external disturbances. First, a system uncertainty linear observer is employed to estimate and compensate for the system uncertainty. Second, based on the nonsingular fast terminal sliding mode surface, the position tracking control law with unmeasured velocity is proposed which not only eliminates the chattering phenomenon but also guarantees the tracking errors of the system converge in finite time. Finally, through the simulation results, the effectiveness of the proposed control law is demonstrated.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126917068","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}
{"title":"The Research on the expansion scheme of security operation center based on data self-balancing","authors":"Peng Lu, Wenjing Zeng, Hang Li, Ruobin Zhang","doi":"10.1109/IAEAC54830.2022.9929921","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929921","url":null,"abstract":"With the frequent occurrence of security incidents and the continuous growth of data levels, the processing of massive data places higher requirements on the analysis and storage capabilities of the security operation center. The cluster deployment mode makes the horizontal expansion a basic capability of the platform, but how to ensure data integrity and business continuity while expanding nodes is a key issue that needs to be solved. Based on the security operation center of the China Academy of Engineering Physics, this paper studied the technical details of the data migration expansion schemes and data self-balancing expansion schemes, and conducted comparative experiments in the laboratory. Finally, it proves the data self-balancing expansion schemes have more advance and feasibility than the data migration expansion schemes. The data self-balancing expansion schemes has been applied in the online system, which provides a certain reference for the expansion of other big platforms on the secret network in the future.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129229636","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}
Liu Sheng, Shang Fang, Han Min, Yu Xiaokun, Tie Kaiying, Ao Jin, L. Yang, Bi Qingzhu
{"title":"A Design of Power Industry Technical Supervision and Management System Based on Blockchain Intelligent Contract","authors":"Liu Sheng, Shang Fang, Han Min, Yu Xiaokun, Tie Kaiying, Ao Jin, L. Yang, Bi Qingzhu","doi":"10.1109/IAEAC54830.2022.9929330","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929330","url":null,"abstract":"A power industry technical supervision and management system based on blockchain intelligent contract is designed in this paper. The tamper-proof and traceable features of blockchain smart contracts are used, thus making the technical supervision more transparent in the whole process of design, procurement, installation, operation and maintenance. After an accident, the cause and responsibility of the accident can be accurately determined to avoid problems such as uncertain cause of the accident and the shirking of responsibility by the responsible person. It is convenient for relevant government departments to supervise. The decentralized architecture is adopted in this system to provide managers with dynamic information of the whole process of technical supervision. Accidents caused by imperfect management have been reduced.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124185685","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}
{"title":"Research on Reciprocating diesel engines fault diagnosis based on adaptive genetic algorithm optimization","authors":"Defu Zhang, Peixin Tong, Wei Zhu, Jiemin Zheng","doi":"10.1109/IAEAC54830.2022.9929990","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929990","url":null,"abstract":"The fault diagnosis of marine diesel engine is studied in this paper. The simulation software GT-Suite is used to build the whole engine model, and the diagnosis framework of marine diesel engine based on adaptive genetic algorithm is constructed. Firstly, different faults in the working process of the diesel engine are set by using simulation software, corresponding operation data are derived, and the data are subjected to feature selection to obtain a minimum fault feature set; Then, a diesel engine fault classification model is built based on Elman neural network, and the improved genetic algorithm is used to optimize the weights and thresholds of Elman neural network, so as to realize the efficient and accurate classification of diesel engine faults. Finally, the processed data set is input into the adaptive genetic algorithm optimization. Based on Elman neural network, the fault diagnosis of marine diesel engine is realized. The experiment proves that, The method has high fault accuracy and small error, is not easy to fall into the local minimum, and can effectively diagnose the faults occurring in the working process of the marine diesel engine.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114231044","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}