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TASEP model with a single defect coupling on-ramp 具有单一缺陷耦合入匝道的TASEP模型
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00025
Lin Qi, S. Xiao, Xiaoling Cui
{"title":"TASEP model with a single defect coupling on-ramp","authors":"Lin Qi, S. Xiao, Xiaoling Cui","doi":"10.1109/AIAM54119.2021.00025","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00025","url":null,"abstract":"In this paper, we studied the effect of a single defect coupling on-ramp by applying a totally asymmetric simple exclusion process model (TASEP). Both theoretical and simulative methods are employed to analyze the changes of the phase diagrams with the hopping rate $p$ at the defect site and the on-ramp rate $q$. The results demonstrate that a new steady phase (high density/low density, HD/LD) and the phase diagram can be in the system under the special relationship between the hopping rate $p$ and the on-ramp $q$. We can make the probability of traffic jam occurring reach the lowest through controlling the relationship between $p$ and $q$.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126180864","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
A Brief Investigation for Techniques of Deep Learning Model in Smart Grid 智能电网中深度学习模型技术研究
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00045
Changtian Ying, Qi Li, Jianhua Liu
{"title":"A Brief Investigation for Techniques of Deep Learning Model in Smart Grid","authors":"Changtian Ying, Qi Li, Jianhua Liu","doi":"10.1109/AIAM54119.2021.00045","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00045","url":null,"abstract":"Over the last few years, smart grid has gained a tremendous attention from the research community. To ensure the effective acquisition, transmission, protection and control of various data in the smart grid, so that the smart grid can realize the dynamic exchange and interaction of information and meet the sustainable requirements of power development, which has gradually become a realistic choice for the construction and development of smart grid. Various soft and hardware techniques have been proposed for efficient smart grid. Deep learning techniques are one of the soft computing approaches which can be applied to automate and further improve the performance of the smart grid. Although, this research domain of deep learning model in smart grid is gaining some attention, there is a strong need for a motivation to encourage researchers to explore more in this area. In this paper, we have investigated on recent development in the field of deep learning techniques in smart grid. In the study, various performance metrics including total papers, total citations, and citation per paper are calculated. Further, top 10 or 20 of most productive and highly cited authors, discipline, source journals, countries, institutions, and highly influential papers are also evaluated. Later, a comparative analysis is performed on the deep learning techniques in smart grid after analyzing the most influential works in this field.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128346960","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 Design of Household Intelligent Sorting Garbage Bins Based on Raspberry Pi 基于树莓派的家用智能分类垃圾桶设计研究
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00122
A. Lin
{"title":"Research on the Design of Household Intelligent Sorting Garbage Bins Based on Raspberry Pi","authors":"A. Lin","doi":"10.1109/AIAM54119.2021.00122","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00122","url":null,"abstract":"Since the traditional household garbage bins lack independent identification of recyclable garbage and non-recyclable garbage, a design method for smart garbage bins to automatically identify garbage based on Raspberry Pi is proposed. Through the Raspberry Pi, Arduino development board and USB camera, an overall framework of the system is built, the software and hardware design ideas of garbage bins in the implementation process are explained, and the application of image recognition in garbage sorting is researched. The experiment demonstrates that the system can operate stably and sort accurately, which reduces the waste of resources of traditional garbage bins, achieves the purpose of accurately identifying and sorting garbage, and has a good application prospect in garbage sorting.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128420564","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 Intrusion Detection Technology of Electric Control System Based on Machine Learning 基于机器学习的电控系统入侵检测技术研究
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00100
Xiaolong Li, Xinghua Li, Feng Wang, Dongge Zhu, Yanqing Yang
{"title":"Research on Intrusion Detection Technology of Electric Control System Based on Machine Learning","authors":"Xiaolong Li, Xinghua Li, Feng Wang, Dongge Zhu, Yanqing Yang","doi":"10.1109/AIAM54119.2021.00100","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00100","url":null,"abstract":"With the continuous development of network and information technology, especially the continuous promotion of Made in China 2025, industrial control system has become an important support system of modern industrial infrastructure including electricity, petroleum, transportation and so on, and is closely linked to the national security, social stability and economic lifeline. A cyber-attack on these industrial control systems could endanger public life and national security. This paper first analyzes the industrial control network in detail, introduces the relevant security protection technology used in the current industrial control network, and proposes an intrusion detection system framework that can be applied to the industrial control network.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128459612","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
The Structure Design of an Intelligent Pop Can Recycling Device 智能易拉罐回收装置的结构设计
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00114
Jiaxin Wang, Yuzuo Liu, Hanqiao Zhang, M. Xiang
{"title":"The Structure Design of an Intelligent Pop Can Recycling Device","authors":"Jiaxin Wang, Yuzuo Liu, Hanqiao Zhang, M. Xiang","doi":"10.1109/AIAM54119.2021.00114","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00114","url":null,"abstract":"Aiming at the shortage of recycling degree of waste pop cans in China and the large space occupied by transportation, an intelligent recycling device for pop cans was designed. In this paper, the flattening test of common pop cans is carried out to determine that the flattening force is not more than 200N. A unique bending mechanism is designed to reduce the flattening force of cans by 70%. The overall structure of a simple pop can recovery device is designed and calculated, the device is composed of three parts-the extrusion structure, the collection structure and the spitting currency structure, which can not only complete the extrusion and collection function of pop cans recycling but also automatically spit currency after the user press the pop can. The unique design of intelligent coin spitting structure has high reliability, and it can automatically rotate the coin bucket, even it has low power consumption. This device requires no additional power supply, suitable for various occasions.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130404603","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 Financial Data Feature Forecast System Based on Clustering Algorithm 基于聚类算法的金融数据特征预测系统设计
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00120
Baifang Liu, Meijie Du, Haoyun Zhou
{"title":"Design of Financial Data Feature Forecast System Based on Clustering Algorithm","authors":"Baifang Liu, Meijie Du, Haoyun Zhou","doi":"10.1109/AIAM54119.2021.00120","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00120","url":null,"abstract":"The great success of computer technology in various fields has led to the great development of relational database systems. In the face of exponential growth in data, data processing and analysis are particularly important. How to extract useful business information from massive financial data is also a topic. This paper studies the financial data feature prediction of the clustering algorithm, understands the relevant theories of the financial data feature prediction system based on the literature, and then designs the financial data feature prediction system based on the clustering algorithm, and then designs the design of the financial data feature prediction system. The system is tested, and the test results show that the standard deviation of the overall false alarm rate of the system in this paper is 1.76%; the standard deviation of the overall false alarm rate of the system is 1.53%.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"7 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128866913","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
Effect of Different Powder Size on the Pore Properties of Porous Ti-33Al Intermetallics Fabricated by Add Material Manufacture 粉体粒度对添加材料制备多孔Ti-33Al金属间化合物孔隙性能的影响
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00119
Yiquan Fan, Qinghua Yan, Junsheng Yang
{"title":"Effect of Different Powder Size on the Pore Properties of Porous Ti-33Al Intermetallics Fabricated by Add Material Manufacture","authors":"Yiquan Fan, Qinghua Yan, Junsheng Yang","doi":"10.1109/AIAM54119.2021.00119","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00119","url":null,"abstract":"Porous Ti-33Al Intermetallicss were manufactured utilizing Al and Ti element mixed powder as raw materials and based on the Kirkendall effect add material manufacture technique to satisfy the demands of TiAl intermetallics filter elements in the chemical, hydrometallurgical, petrochemical, and other industries. The quantitative relationship between Til Al element powder particle size and pore structure characteristics including, permeability, pore size and porosity of Ti-33A1 porous material was explored in depth. The study indicate that the powder particle size has a significant impact on the regulation of pore structure in porous materials. The permeability and pore size of the materials will rise as the particle size of the raw materials increases. Between the permeability and maximum pore size, the Hagen-Poiseuille equation is carefully obeyed, and its mathematical expression is $J=0.205d_{m}^{2}theta$. This study will benefit in the production of porous materials with added material manufacture technology.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123374691","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
VGG-S: Improved Small Sample Image Recognition Model Based on VGG16 VGG-S:基于VGG16改进的小样本图像识别模型
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00054
Xuesong Jin, Xin Du, Huiyuan Sun
{"title":"VGG-S: Improved Small Sample Image Recognition Model Based on VGG16","authors":"Xuesong Jin, Xin Du, Huiyuan Sun","doi":"10.1109/AIAM54119.2021.00054","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00054","url":null,"abstract":"Convolutional Neural Network (CNN) has the problems of relying on large models, too long training time and over-relying on a large number of sample annotations. In this study, an improved image recognition model Vgg-Small (Vgg-S) based on Vgg16 is proposed. Based on the Vgg16 model, the Vgg16 model is pruned and improved to build a lightweight CNN model Vgg-S. Vgg-S can train with a small data set, and get better training results in a shorter training time. Through experiments on the public data set Caltech101, comparing common CNN prediction models, experiments prove that Vgg-S has a better performance on the small number of image recognition tasks.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121549700","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: 3
Design of Ultra-thin and Polarization-Insensitive perfect metamaterial absorber based on four opening of disc 基于圆盘四开口的超薄偏振不敏感完美超材料吸收体设计
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00031
Hui-li Dai, Jun Zeng, Yangli Wang, H. Meng, Li-Jun Liu, Rui Yan
{"title":"Design of Ultra-thin and Polarization-Insensitive perfect metamaterial absorber based on four opening of disc","authors":"Hui-li Dai, Jun Zeng, Yangli Wang, H. Meng, Li-Jun Liu, Rui Yan","doi":"10.1109/AIAM54119.2021.00031","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00031","url":null,"abstract":"In this paper, a new ultra-thin and polarization-independent perfect Metamaterial Absorber (MA) using a simple sandwich structure is proposed. Numerical simulation is carried out using CST 2015 Microwave Studio software by optimizing the geometrical structure. The numerical simulation results show that the MA achieves perfect absorption at the frequency of 7.625GHz and 15.375GHz, and its absorption is 99.1% and 99.8%, respectively. The numerical simulation results also show that the MA has an ultra-thin thickness of 0.4mm and the MA has the characteristics of polarization insensitivity.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116755551","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
Comparative study on the calculation results of finite element modeling of downlead of substation based on beam element and rod element 基于梁单元和杆单元的变电站下引线有限元建模计算结果对比研究
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00019
Yi You, Kaike Wang, Y. Ma, Yi Zheng
{"title":"Comparative study on the calculation results of finite element modeling of downlead of substation based on beam element and rod element","authors":"Yi You, Kaike Wang, Y. Ma, Yi Zheng","doi":"10.1109/AIAM54119.2021.00019","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00019","url":null,"abstract":"This paper mainly uses Beam188 and Link180 elements to establish the finite element model of four-split downlead, calculates the influence of the span on the restraint end tension of the two finite element models, and analyzes the finite element model of the beam element without considering the degree of freedom of rotation. The influence of bending stiffness on the tension of restrained end nodes, and the calculation results are compared with the calculation results of the rod element. The results show that the beam element finite element model can more realistically simulate the force characteristics of the four-split downlead.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122515209","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
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