International Conference on Electronic Information Technology最新文献_第2页

Surface defect detection for nylon yarn package based on improved VGG model 基于改进VGG模型的尼龙纱线包件表面缺陷检测

International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685618

Qiang Li, J. Wu

引用次数: 0

Research on digital twin system for railway station signals 火车站信号数字孪生系统的研究

International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685445

Guoqiang Ma, Qiang Li

引用次数: 0

Improving fragment information recommendation via enhanced knowledge graph 通过增强知识图谱改进碎片信息推荐

International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685739

Xujian Chen, Jing Sun

{"title":"Improving fragment information recommendation via enhanced knowledge graph","authors":"Xujian Chen, Jing Sun","doi":"10.1117/12.2685739","DOIUrl":"https://doi.org/10.1117/12.2685739","url":null,"abstract":"Fragment information refers to irregular, unorganized and unstructured data scattered across various sources such as texts or images in public newspapers, reports, and other online articles. Due to its small units, large quantity and low value density, it is not easy to discover the related fragments for queries from a specific domain. To make better use of domain knowledges, this paper utilizes the entity co-occurrence relationship in domain to enhance base knowledge graph, followed by fusing the enhanced graph representations to obtain the entity-related knowledge representation via attention mechanism. By enhancing the base knowledge graph with frequency statistics of entity co-occurrence, the neighborhood information can be encoded into entity representations, thereby providing entity-related domain knowledge. We then linearly combine the entity representation with the pretrained representation of whole fragment texts and calculate the similarity between the resulted vectors to retrieve top-k related items for fragment information recommendation. Finally we demonstrate the effectiveness of the proposed method through experiments on the MIND dataset.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115785569","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

Research based on improved YOLOv5 algorithm in unmanned driving technology 基于改进YOLOv5算法的无人驾驶技术研究

International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685818

Hua Yang, Da-wei Lin, Hao Shen, Junxiong Wang, Shuxiang Zhang, Kang Zhou

{"title":"Research based on improved YOLOv5 algorithm in unmanned driving technology","authors":"Hua Yang, Da-wei Lin, Hao Shen, Junxiong Wang, Shuxiang Zhang, Kang Zhou","doi":"10.1117/12.2685818","DOIUrl":"https://doi.org/10.1117/12.2685818","url":null,"abstract":"With the rapid development of modern society, people in order to meet their travel needs, the demand for cars increased rapidly. In recent years, traffic accidents have occurred frequently, accounting for the highest death toll in China's workplace safety. According to statistics, in our country, the average number of people who died in traffic accidents always keeps at about one hundred thousand, countless families bear the pain and pain of parting loved ones. Road traffic accidents have become an extremely prominent problem that must be faced squarely. Ninety-three percent of road traffic accidents are caused by improper operation and immature driving technology. To solve this problem, in recent years, more and more scholars began to engage in the research of unmanned driving technology. This can greatly improve the safety of car driving, so as to reduce the occurrence of traffic accidents to a certain extent, to avoid the occurrence of tragedy. This paper mainly describes and improves the target detection technology algorithm in unmanned driving, and proposes an improved NAM-SIOU yolov5 algorithm based on the yolov5 algorithm. The original yolov5 algorithm incorporates the NAM attention mechanism and uses a better SIOU loss function. The experimental results show that the mAP and accuracy rate of the improved algorithm is improved by about 1 percentage point, the accuracy is up to 94.6%, the recall rate is up to 94.2%, the detection time of single vehicle pedestrian road image on GPU is 15.2ms, the detection speed is increased by about 23% compared with the original algorithm, and the real-time detection speed is up to 43 frames/s. The NAM-SIOU yolov5 algorithm can well meet the requirements of high accuracy, fast speed, high real-time performance and other indicators in unmanned vehicle technology target detection.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115939976","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

Research on PHM system evaluation of complex electronic equipment 复杂电子设备PHM系统评价研究

International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685906

Zhijian Sun, Cong Lv, Xin Hu, Zhen Sun, Jingming Li

引用次数: 0

Demonstration system of reconfigurable multi-valued logic electronic processor 可重构多值逻辑电子处理器演示系统

International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685715

Yao Lu, Hongjian Wang, Junhong Huang, Xinyu Zhou, Youdong Wu

{"title":"Demonstration system of reconfigurable multi-valued logic electronic processor","authors":"Yao Lu, Hongjian Wang, Junhong Huang, Xinyu Zhou, Youdong Wu","doi":"10.1117/12.2685715","DOIUrl":"https://doi.org/10.1117/12.2685715","url":null,"abstract":"The reconfigurable multi-valued logic processor consists of a large number of processor units that can be grouped and reconfigured at runtime, enabling it to implement a wide variety of logic operators and many-bit parallel adders. In this study, we design and implement a demonstration system of an FPGA-based reconfigurable multi-valued logic processor using the AX7020 development board. To demonstrate the system's capabilities, we develop a demonstration program based on embedded Linux and Qt, which includes a graphical user interface for a 1000-trit reconfigurable ternary logic processor, a 32-quit reconfigurable quaternary logic processor and a 64-bit MSD adder. The program runs on the ARM Cortex-A9 processor on the PS side of the development board, with human-machine interaction achieved through the AN970 7-inch LCD touch screen external to the PL side of the development board. We verify the reliability of the reconfigurable multi-valued logic electronic processor's hardware functions in the demonstration system through various means, including software simulation checking, automatic random tests and manual tests on the demonstration system. The results show that the demonstration system can let users experience the characteristics of reconfigurable multi-valued logic electronic processor, such as processor units grouping and reconfiguration, ternary/quaternary logic operations and MSD addition operations, through the touch screen in a user-friendly way.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131217726","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

Analysis and research of teaching management system based on emotion detection 基于情感检测的教学管理系统分析与研究

International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685592

Xia Gao, Wanying Fu, Fangqin Xu

{"title":"Analysis and research of teaching management system based on emotion detection","authors":"Xia Gao, Wanying Fu, Fangqin Xu","doi":"10.1117/12.2685592","DOIUrl":"https://doi.org/10.1117/12.2685592","url":null,"abstract":"With the diversification and popularization of intelligent technology, how to integrate education into contemporary technology to get improvement in teaching always is the research direction people are crazy in. The traditional teaching mode is updating and evolving round after round. The significance and effect of them not only stay in technological innovation, but also reflect and achievements. Otherwise, all the evolution just stay on the surface without meaning. This research will focus on the connection between the emotion-detection and learning efficiency. The specific meaning of implementation includes two points. The first point is about assisting the class management through emotion-detection technology. According to a number of research reports, there is a huge correlation between emotion and learning efficiency. In addition, teaching forms have become more and more diversified. From online to offline, diversification usually be accompanied with problems that is how to inspect Learning effectiveness because of the traditional test and task point just have little limited effect. The second point is actually the detection of the content of courses. Through emotion recognition, it can accurately reflect whether knowledge points in the classroom is reasonable or not. The feedback from students can be detected through real-time data. The system is based on the keras deep learning framework and open CV source library to achieve emotion detection. Finally data visualization displays learning efficiency.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114453405","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 equipment health monitoring system based on digital twin 基于数字孪生的设备健康监测系统设计

International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685450

Cheng Li, Hongwei Guo, Yihui Gong, Zhaoting Yuan

引用次数: 0

Research on digital intelligent solution design for hotel industry 酒店行业数字化智能解决方案设计研究

International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685774

Zihan Suo, Yingnan Zhang, Jundan Hou, Qiyang Song

{"title":"Research on digital intelligent solution design for hotel industry","authors":"Zihan Suo, Yingnan Zhang, Jundan Hou, Qiyang Song","doi":"10.1117/12.2685774","DOIUrl":"https://doi.org/10.1117/12.2685774","url":null,"abstract":"With the continuous promotion of the construction of \"smart city\", the service-oriented infrastructure such as hotels and hospitals are also beginning to realize networking and intelligent development. As an important part of the tourism industry, smart hotels are an inevitable way for the transformation, development and structural adjustment of China's hotel industry. The hotel needs to shift from the early extensive and homogeneous construction mode to the refined, intelligent and digital construction direction, and needs more distinctive products or services to establish its own brand advantages. In order to further promote the development of digital intelligence in the hotel industry. Through top-level architecture design, this paper dismantles the technical requirements of the smart hotel business, compares different networking schemes to help the hotel achieve high-speed, stable, good experience, easy management and full signal coverage of the intranet, besides, we analyse the 5G network deployment architecture model of the smart hotel. In addition, we also build solutions for three typical application scenarios: smart hotel AON (all-optical network), hotel operation management system and smart room control. At the end of the paper, the development of smart hotel technology and business is prospected, aiming to make a cutting-edge discussion for the development of smart hotels, and provide reference for the subsequent intelligent construction of smart hotel.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128984117","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

Research on the deployment of 5G technology in the 700MHz band of radio and television network in the power system 5G技术在电力系统700MHz广播电视网络中的部署研究

International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685776

Jinan Li, Gaoquan Ding, Haixuan Fu, Jinshuai Wang, Shuang Fang

引用次数: 0