6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023)最新文献

A model for face mask detection through deep learning 基于深度学习的口罩检测模型

6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023) Pub Date : 2023-08-16 DOI: 10.1117/12.3004703

Ruihang Xu, Xuanjing Li, Xing Tian

引用次数: 0

A rut detection method based on multi-rotor UAV equipped with Lidar 基于激光雷达的多旋翼无人机车辙检测方法

6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023) Pub Date : 2023-08-16 DOI: 10.1117/12.3004596

Yawei Hou, Z. Lv, Zhihui Yan, Zhenling Zhang, Shouhu Cheng

引用次数: 0

Research on code formatting and design and implementation of multilingual code formatting software 代码格式化的研究及多语言代码格式化软件的设计与实现

6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023) Pub Date : 2023-08-16 DOI: 10.1117/12.3004477

Chunjing Yang, Da Yang

引用次数: 0

LightGBM-based line loss prediction model for distribution networks 基于lightgbm的配电网线损预测模型

6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023) Pub Date : 2023-08-16 DOI: 10.1117/12.3004619

Xiaogang Wu, Zuxin Li, Xiaoqing Zhou, Qingfeng Ji, Shuangshuang Mao, Xiaoming Ju

引用次数: 0

Design and implementation of real-time security monitoring platform for EAST based on microservice architecture 基于微服务架构的EAST实时安全监控平台的设计与实现

6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023) Pub Date : 2023-08-16 DOI: 10.1117/12.3004365

Ziming Chen, Weibin Xi, Jie Xie, Kun He

{"title":"Design and implementation of real-time security monitoring platform for EAST based on microservice architecture","authors":"Ziming Chen, Weibin Xi, Jie Xie, Kun He","doi":"10.1117/12.3004365","DOIUrl":"https://doi.org/10.1117/12.3004365","url":null,"abstract":"EAST's security monitoring platform is based on the MVC monolithic application architecture, providing experimentalists with the ability to visualise the device operating parameters. With the accumulation of large amount of data and the increase of analysis requirements, the scale of the system business is expanding. The problems of strong coupling, overlap and limited scalability of the various business components have gradually emerged. This paper aims to refactor the security monitoring platform based on microservice architecture. Firstly, we build a microservice framework, divide subsystems according to user requirements and build submodules according to business links. After that, the system hierarchy is optimized: the data source proxy is encapsulated, and the data platform is built as a layer. Finally, the system was implemented and tested with Kafka and Flink as the core real-time computing modules, whose output latency is within seconds. In fact, the refactored system is scalable and stable to support the experimental monitoring of EAST.","PeriodicalId":143265,"journal":{"name":"6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121533728","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 data missing filling of smart watt-hour meter based on variational self-encoder 基于变分自编码器的智能电能表数据缺失填充研究

6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023) Pub Date : 2023-08-16 DOI: 10.1117/12.3004943

Xi Li, Fating Zhang, Yan Li, J. Yang

引用次数: 0

Multi-turn automatic question answering based entity-relation extraction method for power technology standards 基于多轮自动问答的电力技术标准实体关系提取方法

6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023) Pub Date : 2023-08-16 DOI: 10.1117/12.3004580

Shiqing Wang, Peng Wang, Sunan Jiang, Feng Shang

{"title":"Multi-turn automatic question answering based entity-relation extraction method for power technology standards","authors":"Shiqing Wang, Peng Wang, Sunan Jiang, Feng Shang","doi":"10.1117/12.3004580","DOIUrl":"https://doi.org/10.1117/12.3004580","url":null,"abstract":"The goal of entity relation extraction is to extract entities and the relations between entities from unstructured texts. Most of the existing research approaches are oriented towards common entity labels in general-purpose domains (e.g., time, place, person, institution, etc.) and simple texts in specialized domains (texts consisting of single sentences with low knowledge density). The existence of long-distance dependencies of entity pairs (cross-sentence entity pairs) and the phenomenon of overlapping relations (different relations sharing the same entity) in complex texts are ignored. However, complex texts are common in practical applications, especially in professional fields such as power technology standards, where the knowledge density of texts is high and the phenomenon of entity-pair cross-sentence dependency is significant. To solve the above problems, this paper proposes a novel multi-hop automatic question-and-answer-based entity relation extraction method, which combines the current well-established machine reading comprehension framework with the automatic question construction mechanism proposed in this paper, and uses the a priori knowledge provided by the question as the extraction type guide, and uses the multi-hop question-and-answer mechanism to reason about the answer span of the question, effectively alleviating the phenomena of overlapping relations and entity dependence on crosssentences in complex texts. We conducted extensive comparative experiments on the power technology standard dataset self-constructed in this paper, and the results show that the MT-auQA model proposed in this paper achieves optimal performance","PeriodicalId":143265,"journal":{"name":"6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131105121","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

Preparation of ITO/p-Si heterojunction on PI substrate by magnetron sputtering 磁控溅射在PI衬底上制备ITO/p-Si异质结

6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023) Pub Date : 2023-08-16 DOI: 10.1117/12.3004542

Lixuan Li, Zhen-Xuan He, Jixiang Xu

引用次数: 0

PCB defect detection algorithm based on improved YOLOv5 基于改进YOLOv5的PCB缺陷检测算法

6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023) Pub Date : 2023-08-16 DOI: 10.1117/12.3004442

Rui Wu, Haibin Li

{"title":"PCB defect detection algorithm based on improved YOLOv5","authors":"Rui Wu, Haibin Li","doi":"10.1117/12.3004442","DOIUrl":"https://doi.org/10.1117/12.3004442","url":null,"abstract":"Aiming at the problem of small contrast difference between the defective region and the background region in PCB images, This Article presents an enhanced YOLOv5 algorithm with a multi-scale detection approach. To enhance the YOLOv5 algorithm, this Article upgrades its backbone network by replacing Characteristics Abstraction network with the ASPP module. This change aims to improve the network's perceptual field and Characteristics extraction capability. Secondly, in order to improve the attention of the model to other regions, this Article introduces the attention mechanism Coordinate Attention module, which embeds the location information into the channel attention and achieves multi-scale processing and Characteristics fusion. Finally, this Article uses different sizes of anchor frames for multiscale detection of defective targets. The experimental results show that the size of the improved multiscale network model is only 83% of the size of the original YOLOv5 model, and the mAP on the dataset reaches 97.2%. The algorithm proposed in this Article can effectively detect various defects in PCB images and has high detection precision and low false detection rate, which has good practical value and prospect of popularization and application.","PeriodicalId":143265,"journal":{"name":"6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124700845","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

Optimization of radar reconnaissance constellation based on fuzzy relative entropy 基于模糊相对熵的雷达侦察星座优化

6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023) Pub Date : 2023-08-16 DOI: 10.1117/12.3004590

Yali Liu, W. Xiong, C. Han

{"title":"Optimization of radar reconnaissance constellation based on fuzzy relative entropy","authors":"Yali Liu, W. Xiong, C. Han","doi":"10.1117/12.3004590","DOIUrl":"https://doi.org/10.1117/12.3004590","url":null,"abstract":"The optimization of radar reconnaissance constellation is of great significance for reconnaissance timeliness. In order to solve the problems of insufficient selection pressure and poor diversity of the evolutionary algorithm based on Pareto domination in solving the many-objective optimization problem of radar reconnaissance constellation, an imporved particle swarm optimization based on fuzzy relative entropy (IFREM_PSO) is proposed. A new inertial weight strategy is proposed to enhance the convergence speed and accuracy of the algorithm, improve the external archive maintenance strategy, and enhance the convergence and diversity of the algorithm. The optimization model of radar imaging reconnaissance constellation oriented to area reconnaissance is constructed. The IFREM_PSO is used to optimize the model, and the multi-objective particle swarm optimization algorithm (MOPSO) is used as the control algorithm. Experiments show that the IFREM_PSO has better results in terms of convergence, diversity and convergence speed, and can effectively solve the problem of radar reconnaissance constellation optimization.","PeriodicalId":143265,"journal":{"name":"6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023)","volume":"47 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129518457","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