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2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)最新文献

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Application of AI technology in management engineering 人工智能技术在管理工程中的应用
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) Pub Date : 2021-11-01 DOI: 10.1109/icaice54393.2021.00024
Yuling Huang, C. Leng, Liping Zhan
{"title":"Application of AI technology in management engineering","authors":"Yuling Huang, C. Leng, Liping Zhan","doi":"10.1109/icaice54393.2021.00024","DOIUrl":"https://doi.org/10.1109/icaice54393.2021.00024","url":null,"abstract":"The horizontal integration, vertical connection of the system architecture of artificial intelligence scheduling and control system, as well as the extended requirements of safety, large capacity and high efficiency, it is urgent to need the research and development of a new data management engineering technology with database management as the core. This paper first introduces the real-time database, real-time scheduling database, commercial relationship database, time series memory database and time series file database of the system, and then introduces the architecture of data management system, database management key technology, data access interface and data maintenance. The data management technology of the artificial intelligence dispatching and control system with the database as the core has been successfully applied to the control part of the systems at all levels, providing a strong guarantee for the safe, stable and efficient operation of the management engineering scheduling and control system.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115199316","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
SRM-based Service Discovery Method in Information System Architecture Design 信息系统架构设计中基于srm的服务发现方法
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) Pub Date : 2021-11-01 DOI: 10.1109/ICAICE54393.2021.00141
Xiaoxue Zhang, Tao Chen, Chentao Xu, Zhaochen Zhang
{"title":"SRM-based Service Discovery Method in Information System Architecture Design","authors":"Xiaoxue Zhang, Tao Chen, Chentao Xu, Zhaochen Zhang","doi":"10.1109/ICAICE54393.2021.00141","DOIUrl":"https://doi.org/10.1109/ICAICE54393.2021.00141","url":null,"abstract":"In Military Information System Architecture design area, after the design of the operational view, service related data need to be designed to support the completion of operational activities. Existing research lacks methods to support the design of service related data an. In this paper, the service discovery method based on semantic relation matrix(SRM) is proposed. First, according to the logical relationship between operational activity and operational nodes, the relation is transformed into the SRM. Then, according to the overall semantic relationship, internal semantic dependency, external semantic dependency and average semantic relationship, the clustering results are obtained according to the mappings between the corresponding operational activities and operational nodes in the SRM. Finally, the service cluster generation method based on simulated annealing algorithm is used to determine the result of clustering as a service. Case illustrates this method based on SRM.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114367431","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
Application of Deep Learning in Intelligentization of Power System Vulnerability Knowledge Graph 深度学习在电力系统脆弱性知识图谱智能化中的应用
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) Pub Date : 2021-11-01 DOI: 10.1109/icaice54393.2021.00043
Yangsheng Sun, ZhiLin Duo, Ziguang Jie, Hongya Wang
{"title":"Application of Deep Learning in Intelligentization of Power System Vulnerability Knowledge Graph","authors":"Yangsheng Sun, ZhiLin Duo, Ziguang Jie, Hongya Wang","doi":"10.1109/icaice54393.2021.00043","DOIUrl":"https://doi.org/10.1109/icaice54393.2021.00043","url":null,"abstract":"With the expansion of power grid, the amount of knowledge in power system is exploding. In order to organize, manage and utilize massive knowledge effectively, knowledge graph technology is introduced into the field of power system. In order to further improve the application of knowledge graph technology in power monitoring system. Firstly, this paper analyzes the power system knowledge graph and its advantages in power system knowledge management. Then, the construction method of power system knowledge graph is designed, focusing on the comprehensive analysis of the relationship between defect level and risk level, and drawing heat map. Combined with the characteristics of power system knowledge graph, the typical application scenarios of knowledge graph technology in the field of power system can be intelligently expanded by applying the mature and stable graph database method in the industry and adding the deep learning Convolutional Neural Network (CNN) method innovatively. Finally, on the basis of analyzing the current research hot-spots, the key problems in the application of knowledge graph in power system and the possible research directions in the future are pointed out.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115880289","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
Active Learning-Based Optimization of Scientific Experimental Design 基于主动学习的科学实验设计优化
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) Pub Date : 2021-11-01 DOI: 10.1109/ICAICE54393.2021.00060
Ruoyu Wang
{"title":"Active Learning-Based Optimization of Scientific Experimental Design","authors":"Ruoyu Wang","doi":"10.1109/ICAICE54393.2021.00060","DOIUrl":"https://doi.org/10.1109/ICAICE54393.2021.00060","url":null,"abstract":"Active learning (AL) is a machine learning algorithm that can achieve greater accuracy with fewer labeled training instances, for having the ability to ask oracles to label the most valuable unlabeled data chosen iteratively and heuristically by query strategies. Scientific experiments nowadays, though becoming increasingly automated, are still suffering from human involvement in the designing process and the exhaustive search in the experimental space. This article performs a retrospective study on a drug response dataset using the proposed AL scheme comprised of the matrix factorization method of alternating least square (ALS) and deep neural networks (DNN). This article also proposes an AL query strategy based on expected loss minimization. As a result, the retrospective study demonstrates that scientific experimental design, instead of being manually set, can be optimized by AL, and the proposed query strategy ELM sampling shows better experimental performance than other ones such as random sampling and uncertainty sampling.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122632153","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
Application Research for Train Intelligent Rescheduling Based on the Improved TLBO Algorithm 基于改进TLBO算法的列车智能重调度应用研究
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) Pub Date : 2021-11-01 DOI: 10.1109/ICAICE54393.2021.00055
Xiaozhao Zhou, Qi Zhang, Tao Wang
{"title":"Application Research for Train Intelligent Rescheduling Based on the Improved TLBO Algorithm","authors":"Xiaozhao Zhou, Qi Zhang, Tao Wang","doi":"10.1109/ICAICE54393.2021.00055","DOIUrl":"https://doi.org/10.1109/ICAICE54393.2021.00055","url":null,"abstract":"Train rescheduling is a nonlinear optimization problem with multiple constraints. In the view of the theoretical methods and the actual application, the train intelligent rescheduling model is set up according to its characteristics. And the basic teaching-learning-based optimization algorithm has been improved by four optimized mechanisms, such as setting multiple teachers, the self-adaption learning steps, the self-adaption teaching factor and the learning weight. The improved TLBO algorithm with better performance in execution efficiency and solution precision is adopted to solve the train intelligent rescheduling model. Finally, the effectiveness and reliability of the improved TLBO algorithm and the train intelligent rescheduling model has been validated by three simulation examples.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122867959","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
Target magnetic anomaly signal recognition based on a fusion algorithm 基于融合算法的目标磁异常信号识别
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) Pub Date : 2021-11-01 DOI: 10.1109/icaice54393.2021.00150
Tao Qin, G. Hu, Changjian Zhou, Xiaodong Li
{"title":"Target magnetic anomaly signal recognition based on a fusion algorithm","authors":"Tao Qin, G. Hu, Changjian Zhou, Xiaodong Li","doi":"10.1109/icaice54393.2021.00150","DOIUrl":"https://doi.org/10.1109/icaice54393.2021.00150","url":null,"abstract":"Under the background of ocean complex interference, the target magnetic anomaly detection has always been the focus and difficulty of the research. In particular, it takes a long time to detect the characteristic signals of the target magnetic anomaly in a full period, so it is difficult to analyze and identify the target in real time. A fusion algorithm based on particle swarm optimization (PSO) and least squares support vector regression (LS-SVR) is proposed to predict the target magnetic anomaly signal characteristics based on time series. The fusion algorithm uses the OPS’ virtue that is the property of fast convergence to optimize parameters of LS-SVR algorithm. And root mean square error (RMSE) is applied for loss function to assess prediction model of magnetic anomaly signal based on LS-SVR. The algorithm model is utilized to predict the signal characteristics of target magnetic anomalies with time. Experiments show that the prediction accuracy of the new algorithm outperforms Least Squares(LS), support vector regression (SVR) and least squares support vector regression (LS-SVR). This paper provides an idea for the detection of magnetic targets in the marine environment.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124237729","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 Control Method of Emergency Microgrid's Quick Restoration of Power Supply 应急微电网快速恢复供电控制方法研究
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) Pub Date : 2021-11-01 DOI: 10.1109/ICAICE54393.2021.00147
Yuzhe Xie, Yanhua He, Sipei Chen, Zhi Li, Y. Zhang
{"title":"Research on the Control Method of Emergency Microgrid's Quick Restoration of Power Supply","authors":"Yuzhe Xie, Yanhua He, Sipei Chen, Zhi Li, Y. Zhang","doi":"10.1109/ICAICE54393.2021.00147","DOIUrl":"https://doi.org/10.1109/ICAICE54393.2021.00147","url":null,"abstract":"Coastal areas are prone to extreme weather such as typhoons. Under extreme natural conditions, using emergency microgrids to solve the problem of rapid restoration of power supply in faulty areas is an effective way to decrease the impact of typhoons on the distribution network. This paper is aimed at the real-time power balance of the microgrid to the greatest extent and designs a coordinated distribution strategy for the microgrid hybrid system controlled by priority. The simulation results demonstrate that the proposed control strategy can quickly reach the control goal and ensure an emergency response. Long- term stable operation of the microgrid.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124780602","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 of prevention and control of COVID-19 epidemic based on computer modeling 基于计算机建模的新型冠状病毒肺炎疫情防控仿真
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) Pub Date : 2021-11-01 DOI: 10.1109/ICAICE54393.2021.00085
Rui Wang
{"title":"Simulation of prevention and control of COVID-19 epidemic based on computer modeling","authors":"Rui Wang","doi":"10.1109/ICAICE54393.2021.00085","DOIUrl":"https://doi.org/10.1109/ICAICE54393.2021.00085","url":null,"abstract":"Taking Henan Province as the research object, this paper discusses the temporal and spatial distribution of COVID-19 and its spreading laws and characteristics. Through computer modeling and intelligent fitting, the Moran'I and Moran's I exponential distributions are obtained to describe the global space and local space density. Establish SEIRD model and use simulated annealing algorithm to predict its development trend. At the same time, taking into account the development of the epidemic and the infection rate under different conditions, as well as the local testing capabilities and testing costs, combined with mathematical expectations, design a reasonable virus testing program.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131296592","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 blockchain-based smart agriculture privacy protection data aggregation scheme 基于区块链的智慧农业隐私保护数据聚合方案
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) Pub Date : 2021-11-01 DOI: 10.1109/ICAICE54393.2021.00018
Hongbin Fan, Hui Yang, Sheng Duan
{"title":"A blockchain-based smart agriculture privacy protection data aggregation scheme","authors":"Hongbin Fan, Hui Yang, Sheng Duan","doi":"10.1109/ICAICE54393.2021.00018","DOIUrl":"https://doi.org/10.1109/ICAICE54393.2021.00018","url":null,"abstract":"Smart agriculture is a new agricultural production mode. The Internet of things has been widely used in smart agriculture. The goal is to monitor, collect and effectively employ the relevant data of agricultural process, so as to realize the sustainable development of modern agriculture. The accuracy and reliability of the collected data affect the intelligent decision, so the security and privacy protection of the data are very necessary. Data aggregation solution is one of the most commonly used methods to solve the privacy protection and security problems of data collection. Existing solutions generally require the collaboration of a trusted authority, which may not be practical. Blockchain is a new distributed protocol that can be decentralized. Hence, this paper proposes a privacy protection data aggregation solution with a fault-tolerant property based on blockchain in smart agriculture. It is proved to be data security, privacy protection.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130235549","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
Multi-objective stochastic optimization planning method based on microgrid 基于微电网的多目标随机优化规划方法
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) Pub Date : 2021-11-01 DOI: 10.1109/icaice54393.2021.00125
Yuzhe Xie, Z. Li, Yue Wu, Shengyu Zhou, Yan Zhang
{"title":"Multi-objective stochastic optimization planning method based on microgrid","authors":"Yuzhe Xie, Z. Li, Yue Wu, Shengyu Zhou, Yan Zhang","doi":"10.1109/icaice54393.2021.00125","DOIUrl":"https://doi.org/10.1109/icaice54393.2021.00125","url":null,"abstract":"For micro-grid system optimization design, in the process of considering the uncertain problems, such as wind speed, illumination, based on chance constrained programming is the proposed multi-objective stochastic optimal planning method, the method in for solving the stochastic problem into a deterministic problem, effective and considering the random micro-renewable resources in the grid and load of volatility, NSGA-II algorithm was used to solve the multi-objective stochastic optimal programming model. Finally, an example of optimal planning and design of microgrid is given to verify that the proposed method and algorithm are reasonable and effective. It is of great significance to improve the operation security and reliability of microgrid and ensure the safe and reliable operation of the power grid.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121201651","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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