2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)最新文献_第9页

Research and Application of Instrument Reading Recognition Algorithm Based on Deep Learning 基于深度学习的仪器读数识别算法研究与应用

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00112

Liting Lei, Haifei Zhang, Xiujing Li

引用次数: 1

Security Assessment of Enterprise Networks Based on Analytic Network Process and Evidence Theory 基于分析网络过程和证据理论的企业网络安全评估

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00069

H. Lv, Yuan Zhang, Huan Li, Wenjun Chang

{"title":"Security Assessment of Enterprise Networks Based on Analytic Network Process and Evidence Theory","authors":"H. Lv, Yuan Zhang, Huan Li, Wenjun Chang","doi":"10.1109/AIAM54119.2021.00069","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00069","url":null,"abstract":"Network security has always been the most important of enterprise informatization construction and development, and the security assessment of network system is the basis for enterprises to make effective security defense strategies. Aiming at the relevance of security factors and subjectivity of evaluation results in the process of enterprise network system security assessment, a security assessment method combining Analytic Network Process and evidence theory is proposed. Firstly, we built a complete security assessment index system and network analysis structure model for enterprise network, and determined the converged security index weights by calculating hypermatrix, limit hypermatrix and stable limit hypermatrix; then, we used the evidence theory on data fusion of the evaluation opinions of multiple experts to eliminate the conflict between evidences. Finally, according to the principle of maximum membership degree, we realized the assessment of enterprise network security level using weighted average. The example analysis showed that the model not only weighed the correlation influence among the security indicators, but also effectively reduced the subjectivity of expert evaluation and the fuzziness and uncertainty in qualitative analysis, which verified the effectiveness of the model and method, and provided an important basis for network security management.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"110 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":"115745968","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

Study on the Influence of Gap Water Body on the Modal Characteristics of Pump Turbine Runner 间隙水体对水泵水轮机转轮模态特性影响的研究

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00016

Daiqing Hu, Wen Wang, Shao-Bin Wang, Zhengwei Wang

引用次数: 0

Elite Parallel Cuckoo Search Algorithm for Regional Coverage Control Problem in High-Density Wireless Sensor Networks 高密度无线传感器网络区域覆盖控制问题的精英并行布谷鸟搜索算法

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00065

Min Tian, Ji-yun Bai, Jiangquan Li, Mingqi Huang, Chenyang Zhan, Lingjie Ren

{"title":"Elite Parallel Cuckoo Search Algorithm for Regional Coverage Control Problem in High-Density Wireless Sensor Networks","authors":"Min Tian, Ji-yun Bai, Jiangquan Li, Mingqi Huang, Chenyang Zhan, Lingjie Ren","doi":"10.1109/AIAM54119.2021.00065","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00065","url":null,"abstract":"With the growing application of high-density wireless sensor network (HDWSN), coverage control technology has been a key and paramount problem in different scenarios of HDWSN. A regional coverage optimization algorithm is very significant to monitor the network, reduce the waste of resources and improve the lifetime of HDWSNs. Regional coverage control is a technique providing a method that avoids duplicate coverage in HDWSN. However, the regional coverage control is a nonlinear constrained problem whose complexity increases with a quantity of nodes. In this paper, an elite parallel cuckoo search algorithm (EPCSA), a randomized swarm optimization algorithm for regional coverage control in HDWSNs, motivated by elite selection and parallel theory is proposed. To assess the EPCSA's overall efficiency, the EPCSA flow of regional coverage optimization is designed. The model of the regional coverage control problem and the objective function is given. In the simulation, in order to further verify the effectiveness of EPCSA, particle swarm optimization (PSO) and ant colony optimization (ACO) are compared with EPCSA under the same conditions as EPCSA proposed in this paper. The performance of coverage optimization of three algorithms is compared and analyzed. Results show that the regional coverage rate and the deployment of sensor nodes of the network are optimized effectively by the EPCSA.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"100 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":"128587373","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

Traceability System for Rare Chinese Herbal Medicines Based on Blockchain Structure 基于区块链结构的珍稀中药材追溯系统

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00083

Huizhong Liu, Jia Dong, Suli Ge

{"title":"Traceability System for Rare Chinese Herbal Medicines Based on Blockchain Structure","authors":"Huizhong Liu, Jia Dong, Suli Ge","doi":"10.1109/AIAM54119.2021.00083","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00083","url":null,"abstract":"The difficulty of tracing the process of planting, processing, quality inspection, storage, transportation and sales of precious Chinese herbal medicines can be well solved by using the blockchain that is characterized by decentralization, tamper resistance and distributed storage. In this paper, we discuss how to design a traceability system for rare Chinese herbal medicine with double-chain structure by using the high efficiency of private blockchain and the extensibility of consortium blockchain to store the detailed information of each process in the interplanetary file system (IPFS), store the Hash value of each production process traceability information in the private blockchain, and record the transaction identification ID in the private blockchain in the previous stage in the traceability information in the next stage, so that consumers can get the complete traceability information of rare Chinese herbal medicines by combining the traceability information of the sales stage with the IPFS. By linking the Hash value of the traceability information of the final sales stage to the consortium blockchain as a transaction, the safety and reliability of the scheme are enhanced. The private blockchain is used to collect and track the traceability information, while the consortium blockchain is to tamper with and verify the traceability information.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"79 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":"128876858","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

Intelligently Identified Drug Delivery Car Based on Template Matching 基于模板匹配的药物输送车智能识别

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00074

T. Gong, J. Feng

引用次数: 1

Identification of Partial Discharge Fault Type and Sensitivity Analysis of Joint Detection Based on Clustering Algorithm 基于聚类算法的局部放电故障类型识别及联合检测灵敏度分析

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00079

Q. Feng, Zhenhua Shao

{"title":"Identification of Partial Discharge Fault Type and Sensitivity Analysis of Joint Detection Based on Clustering Algorithm","authors":"Q. Feng, Zhenhua Shao","doi":"10.1109/AIAM54119.2021.00079","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00079","url":null,"abstract":"Partial discharge (PD) is the initial manifestation of insulation deterioration in power equipment. When PD accumulates to a certain extent, it will lead to equipment damage. PD detection in advance is an effective method to prevent insulation deterioration. In this paper, AE method, TEV method and UHF method are used to study the internal discharge, suspension discharge and surface discharge respectively, pointing out the limitations of a single detection method, and using clustering method to extract the discharge characteristic parameters of different defect types to classify. The results of K-means clustering show that the accuracy of internal discharge is 83%, surface discharge is 65%, and suspension discharge is 66%. FCM clustering results show that the accuracy of internal discharge is 63%, surface discharge is 60%, and suspension discharge is 50%. The results of hierarchical clustering show that the accuracy of internal discharge is 73%, surface discharge is 70%, and suspension discharge is 67%. From the perspective of sensitivity, TEV method has the highest sensitivity, AE method and UHF method have their advantages in the sensitivity of different discharge defects. In order to overcome the limitation of a single detection method, combined with the experimental results and the actual noise interference and local location requirements, the application of multi-means combined detection is analyzed to provide some reference for the selection of joint detection method. UHF/AE method can avoid electromagnetic interference. UHF/TEV method can avoid acoustic interference; TEV/AE method can improve the localization accuracy.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"13 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":"125553928","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 Online Measurement System for Molten Pool Morphology in Selective Laser Melting (SLM) Process 选择性激光熔化(SLM)过程熔池形貌在线测量系统设计

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00049

Pengmou Ma, Xiaomei He, Aijun Wang

{"title":"Design of Online Measurement System for Molten Pool Morphology in Selective Laser Melting (SLM) Process","authors":"Pengmou Ma, Xiaomei He, Aijun Wang","doi":"10.1109/AIAM54119.2021.00049","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00049","url":null,"abstract":"Selective Laser Melting (SLM), as the processing technology with the highest forming accuracy and the best processing quality in additive manufacturing, is widely used in aerospace fields, etc. Laser molten pool is the basic unit of SLM processing, and online monitoring of the laser molten pool morphology can reflect the SLM processing accuracy and process stability in real time. In this paper, an online measurement system for side-axis laser molten pool morphology is developed inside the SLM molding cabin. Temperature isolation and sealing protection is designed for the online measurement system under complex high-temperature environments. It uses high-speed COMS camera and image acquisition card equipped with FPGA chips to collect and transmit the molten pool image information in real time. The software design of the online measurement system includes the development of the camera SDK based on Visual Studio, the design of real-time image processing algorithms, the evaluation of the molten pool, etc., which aims to evaluate the image acquisition, transmission and storage of the molten pool. Through simulation analysis and experimental verification, it is proved that the system can allow on-line measurement of molten pool morphology.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"33 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":"125556306","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

Simulation Study on Vibration of Wind Turbine with Double-Forked Blade Tip Structure 双叉叶尖结构风力机振动仿真研究

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00116

Haoran Cai, Yuanjun Dai, Cong Wang

引用次数: 0

Current Status and Development of Jet Engine 喷气发动机的现状与发展

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00023

Zhikui Zhang, Tianyi Zhang, Hongyi Gao

{"title":"Current Status and Development of Jet Engine","authors":"Zhikui Zhang, Tianyi Zhang, Hongyi Gao","doi":"10.1109/AIAM54119.2021.00023","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00023","url":null,"abstract":"This paper looks into the current status of jet engines and try to point a direction for its future development. First we study the jet engines by looking at past development in their structure. Jet engines used in civil and military environment have different development directions. By using the results and statistics, we can determine in which way their structure can be improved. Also, one of the potential pathways is to switch to using bio-jet fuel, one of the most matured alternative fuel. Bio-jet fuel can lower jet engine's overall greenhouse gas emission and slightly improve its efficiency according to studies this paper investigated. This paper studies the effect of bio-jet fuel on jet engines and then evaluates the various bio-jet fuel options. Another pathway is by adopting hydrogen technology, which has the potential of eliminating all direct greenhouse gas emission, but the technology is still under development. This paper looks into natural gas-hydrogen hybrid engines, which is one of the most promising options. Finally this paper try to create a roadmap for future jet engine development, finding out solutions to the problems of previously discussed technologies.","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":"127257004","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