2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture最新文献

Grid-Side Energy Storage Configuration System Based on Adaptive Particle Swarm Algorithm 基于自适应粒子群算法的电网侧储能配置系统

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI: 10.1145/3495018.3495527

Yu Li, Yiqian Sun, Changsheng Su, Heng Wang, Xiaolong Guo, Guixing Yang, Zheng Hua

引用次数: 0

Scale-invariant Convolutional Capsule Network 尺度不变卷积胶囊网络

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI: 10.1145/3495018.3495058

Zihan Li, Yuqiu Kong, Baocai Yin

引用次数: 0

Module-Level Fault Diagnosis Method and Process of Excitation Source for C-Band New Generation Weather Radar c波段新一代气象雷达励磁源模块级故障诊断方法及过程

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI: 10.1145/3495018.3495430

Kewu An

引用次数: 0

Anomaly detection of ladle driving force based on Temporal Convolutional Network 基于时间卷积网络的钢包驱动力异常检测

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI: 10.1145/3495018.3501050

Sen Liu, Peifeng Hao

引用次数: 0

Design of Control System of Indoor Energy-saving Lamps Based on Microcontroller 基于单片机的室内节能灯控制系统设计

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI: 10.1145/3495018.3495064

Meili Liu, Caizhong Zhang

{"title":"Design of Control System of Indoor Energy-saving Lamps Based on Microcontroller","authors":"Meili Liu, Caizhong Zhang","doi":"10.1145/3495018.3495064","DOIUrl":"https://doi.org/10.1145/3495018.3495064","url":null,"abstract":"With the progress of society and the improvement of living standards, people waste more and more resources. There is no one in the room in the brightly lit Chongming building, but the lights are not turned off, and a few people are all on. Aiming at the waste of electricity caused by not turning off the lights, this paper designs an energy-saving lamp control system based on a microcontroller to realize the purpose of light on when people come, lights off when people go, and lights on when there are fewer people, and resources are saved. By analyzing the principle of traditional lighting, a design scheme of energy-saving control system for indoor lighting is proposed to achieve the purpose of reducing the waste of power resources. The hardware of this design uses the STC89C52 microcontroller as the core device of the control. The infrared sensor detects the number of people entering the room, and the photoresistor detects the external light environment. According to the judgment conditions of indoor lighting, combining the external ambient light intensity and the specific number of people in the room detected by infrared, the microcontroller can process various signals to achieve complete intelligent control of indoor lighting, avoiding a lot of waste of resources caused by no people in the room and the lights are not off. The software program part of this design is written in C language, which has high efficiency, good versatility, easy improvement and expansion, high portability, light weight, convenient use, good stability, strong adaptability, etc., to a large extent The above meets the current society’s needs for lighting control, and there is still great practicability and improvement in the future.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"20 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72547401","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: 1

Test and research on shielding performance of aluminized glass fiber electromagnetic shielding material based on finite element method 基于有限元法的镀铝玻璃纤维电磁屏蔽材料屏蔽性能测试与研究

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI: 10.1145/3495018.3501221

Ming Xu, H. Bao, Kai Cui

{"title":"Test and research on shielding performance of aluminized glass fiber electromagnetic shielding material based on finite element method","authors":"Ming Xu, H. Bao, Kai Cui","doi":"10.1145/3495018.3501221","DOIUrl":"https://doi.org/10.1145/3495018.3501221","url":null,"abstract":"A research method of shielding performance of aluminized glass fiber electromagnetic shielding material based on finite element method is proposed. The proposed method is based on the traditional Maxwell equation and adopts the finite element method. Firstly, the analyzed object is divided into finite elements. Through the initial conditions and boundary conditions such as medium, field source conditions and field distribution, the magnetic potential and potential of each element under certain conditions are calculated, and its magnetic field efficiency is calculated, and then its anti-interference efficiency under various conditions is compared. The simulation results show that in the frequency range of 0.1 GHz∼1 GHz, with the increase of the length and thickness of the cut-off wave guides, the shielding effectiveness of the shielding box is improved by more than 15dB, and the circular and rectangular cut-off Wave guides have little effect on the shielding effectiveness. Choosing the length and thickness of cut-off wave guides reasonably according to the actual situation can improve the electromagnetic anti-interference ability of weak signal processing circuit.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"38 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72587960","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

Embedded Image Recognition System for Lightweight Convolutional Neural Networks 基于轻量级卷积神经网络的嵌入式图像识别系统

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI: 10.1145/3495018.3495401

Jie Fang, Xiangping Zhang

{"title":"Embedded Image Recognition System for Lightweight Convolutional Neural Networks","authors":"Jie Fang, Xiangping Zhang","doi":"10.1145/3495018.3495401","DOIUrl":"https://doi.org/10.1145/3495018.3495401","url":null,"abstract":"In this paper, we design and implement an embedded image recognition system based on STM32 for the problem of limited storage space of embedded systems to run convolutional neural networks efficiently, and for the loading of lightweight convolutional neural network and the hook-up requirement of the quadrotor. The system hardware adopts the idea of modular design to improve the compatibility of the system, and the system software adopts the training of handwritten image recognition based on convolutional neural network, lightweight processing of the convolutional neural network, and transplanting the trained network to the embedded system. Finally, the system can finish the recognition of handwritten images stably and efficiently. This system can provide a low-cost and highly integrated solution for such image processing systems. The lightweight target detection model CED-Det is designed by combining CED-Net and dense feature pyramid network, which firstly performs feature extraction by CED-Net, then performs feature fusion by stacking two layers of dense pyramid network, and finally, the fused feature maps are used for classification prediction and position prediction by two 3×3 convolutions, respectively. CED-Det is used in VOC and Experimental results on COCO datasets show that CED-Det is more suitable for embedded platforms in terms of accuracy, inference speed, and a total number of parameters compared with other target detection models.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75951062","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: 1

Object Interaction Detection Based on Convolutional Neural Network 基于卷积神经网络的目标交互检测

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI: 10.1145/3495018.3495465

Junhua Guo, Yu-nan Dong

{"title":"Object Interaction Detection Based on Convolutional Neural Network","authors":"Junhua Guo, Yu-nan Dong","doi":"10.1145/3495018.3495465","DOIUrl":"https://doi.org/10.1145/3495018.3495465","url":null,"abstract":"Vision gives people a strong recognition ability, and people can easily see various objects. With the popularity of smart phones and the development of the Internet, pictures and videos have become an important way for people to record their lives and share information. They are created so fast that no one can search them all, but the wealth of information they contain is very important to people. Therefore, this article is based on the convolutional neural network to study the object interaction detection. First of all, this article discusses the basic concepts of convolutional neural networks, and conducts corresponding research on the convolution algorithm, and then studies the method of object interaction detection. After that, the performance of traditional neural network and convolutional neural network in object interaction detection is tested and researched. The test results show that the convolutional neural network is faster than the traditional neural network algorithm in the four types of performance of image generation speed, object feature extraction speed, object classification speed, and object detection accuracy.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75056450","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: 1

Analysis of Primary School Teachers' Online Teaching Investment Based On Data Mining Technology 基于数据挖掘技术的小学教师在线教学投入分析

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI: 10.1145/3495018.3495431

Ting He, Feng Li

{"title":"Analysis of Primary School Teachers' Online Teaching Investment Based On Data Mining Technology","authors":"Ting He, Feng Li","doi":"10.1145/3495018.3495431","DOIUrl":"https://doi.org/10.1145/3495018.3495431","url":null,"abstract":"Primary school teaching quality is the fundamental guarantee for primary schools to achieve educational objectives and the basis for cultivating qualified talents. There are many factors that determine the teaching ability and investment state, and the relationship between many factors can not be understood by subjective consciousness. Generally, schools use the method of paper questionnaire to evaluate teachers' work input status, work input time and teaching quality, but this method is subjective and one-sided. At the same time, we can not scientifically find out the relationship between the factors affecting primary school teachers' work input state, work input time and teaching quality. With the emergence, development and application of data mining technology, important information hidden behind a large amount of data is found, which can support some powerful decisions of decision makers. Using data mining, this paper can find the important factors affecting primary school teachers' teaching, provide a solid foundation for primary school teaching and teaching management, and then mention the teaching level of primary school teachers. This paper designs and develops a teaching quality evaluation system suitable for the development of primary schools, applies the association rules in data mining, analyzes and finds the key factors through association rule analysis, so as to affect the teaching quality and provide a solid foundation for teaching decision-making and management. Finally, the design and implementation of teaching evaluation system based on mining association rules are described in detail.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72688221","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

Computer Aided Design and Numerical Simulation of Dongming Yellow River Bridge Strengthened by a Cable-Stayed System 东明黄河大桥斜拉系统加固的计算机辅助设计与数值模拟

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pub Date : 2021-10-23 DOI: 10.1145/3495018.3501153

Xianggang Wang, Yongcheng Yang, Xing Xin, Jian Jia, Gangnian Xu, Zihua Chen

引用次数: 1