2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)最新文献_第8页

Simulation of surface mounted PMSM Vector Control Based on Fuzzy PI control 基于模糊PI控制的面装PMSM矢量控制仿真

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930299

Junfeng Chen, Jian Liu, Chaofan Zhang

引用次数: 2

A Study of PWM Digital Technologies for Static Var Generator Based on FPGA Technology 基于FPGA技术的静态无功发生器PWM数字技术研究

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930302

Xia Han, Chaofan Zhang, Jian Liu, Xiaomeng Wei

引用次数: 0

Analysis And Improvement of AES Key Expansion Algorithm AES密钥扩展算法的分析与改进

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930239

Zhichao Cao, Guohong Yi, Bingqian Wu, Jianting Li, D. Xiao

{"title":"Analysis And Improvement of AES Key Expansion Algorithm","authors":"Zhichao Cao, Guohong Yi, Bingqian Wu, Jianting Li, D. Xiao","doi":"10.1109/AICIT55386.2022.9930239","DOIUrl":"https://doi.org/10.1109/AICIT55386.2022.9930239","url":null,"abstract":"Based on the analysis of the Advanced Encryption Standard (AES) algorithm and the existing improved algorithms, the AES key extension algorithm is improved and optimized to address the shortcomings of the existing traditional algorithm and the improved algorithm, i.e., the strong correlation between the round keys of the AES key extension algorithm brings a layer of security risks to the AES algorithm as a whole. The three improvement ideas of irreversible improvement strategy, introduction of random number strategy and word shift strategy and the combination of the three ideas are proposed. The three improvement ideas are designed from three perspectives of reducing the correlation between round keys, reducing the correlation between round keys and optimizing the running time of the algorithm, and the corresponding three algorithm models are designed and the three improvement algorithms are simulated for several times. By analyzing the security and efficiency of the algorithm theoretical and experimental results, it is shown that the improved algorithm can ensure the efficient operation of the algorithm on the premise of ensuring the security of the key expansion algorithm and improve the overall anti-attack performance of the AES algorithm to a certain extent.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126482123","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

An Application Review of PCM-based Thermal Storage in Buildings towards Carbon Neutrality: Modeling, Forecasting and Optimal Control with AI 基于pcm的建筑蓄热在碳中和中的应用综述:建模、预测与人工智能最优控制

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930249

Bei Lu, Jinghui Yu, Wenjing Su, Y. Zong

引用次数: 0

A K-means Optimized by Improved Grey Wolf Algorithm Anomaly Detection method for Wireless Sensor Networks 一种改进灰狼算法优化的k均值无线传感器网络异常检测方法

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930210

Cenchang Li, Xingfeng Guo, Yuanfeng Huang

{"title":"A K-means Optimized by Improved Grey Wolf Algorithm Anomaly Detection method for Wireless Sensor Networks","authors":"Cenchang Li, Xingfeng Guo, Yuanfeng Huang","doi":"10.1109/AICIT55386.2022.9930210","DOIUrl":"https://doi.org/10.1109/AICIT55386.2022.9930210","url":null,"abstract":"Anomaly detection in wireless sensor networks is crucial for the implementation of tasks such as fault diagnosis, intrusion detection, and event monitoring. Under existing research, a large number of anomaly detection algorithms use supervised or semi-supervised algorithms to solve a specific application scenario problem. However, in wireless sensor network multi-scenario applications, the feature definition for anomaly data is not available a priori. In this paper, an unsupervised algorithm based on K-means is proposed to solve this problem. Since the effect of K-means algorithm is sensitive to the number of clusters and the selection of initial points, it is easy to fall into local optimum. To enhance the reliability of the algorithm, the gray wolf algorithm is used to find the original cluster centers, and then the clustering results are compared with the weighted neighboring clusters to determine whether the edge points or edge clusters are abnormal data. The experimental results show that the accuracy, recall and F1 value of the algorithm are significantly improved compared with K-means algorithm and other algorithms optimizing K-means under different wireless sensor network data sets.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125957970","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

Analysis on Operation Characteristics of Ground Distance Protection for the Mixed Voltage Four Circuit Transmission Lines on the Same Tower 同塔混压四回路输电线路接地距离保护运行特性分析

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930187

Song Leiming, Tang Cui, Xu Qi

引用次数: 0

Out-of-Step Protection in Generator Based on Intelligent Identification of Impedance Trajectory 基于阻抗轨迹智能识别的发电机失步保护

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930321

Zhenxing Li, Yangze Wang, Cong Hu, Yi Zhu, D. Cui

引用次数: 0

Design of Infant Gait Monitoring System Based on FPGA 基于FPGA的婴儿步态监测系统设计

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930189

Lianying Zou, Tao Yuan, Xinli Cao, Yang Zhang, Wenjie Liao

{"title":"Design of Infant Gait Monitoring System Based on FPGA","authors":"Lianying Zou, Tao Yuan, Xinli Cao, Yang Zhang, Wenjie Liao","doi":"10.1109/AICIT55386.2022.9930189","DOIUrl":"https://doi.org/10.1109/AICIT55386.2022.9930189","url":null,"abstract":"In recent years, the incidence of abnormal leg types such as foot internal rotation, foot external rotation, partial flat foot and O-shaped leg is very high among teenagers and children in China, which has a serious impact on the growth of teenagers. Gait monitoring system is used to detect whether children’s walking posture is correct or not. Because of its good portability, low cost and accurate measurement, it is widely used in the medical field. This paper designs a gait monitoring system for young children based on domestic FPGA, which is designed by Chinese. The 32-bit SOC architecture with Cotex-M3 as the core is used as the controller. The gait information is obtained through mpu6050 sensor, and then the controller calculates and processes the collected data. The data calculated by attitude angle is uploaded to the cloud platform through WIFI module. After obtaining the data, the upper computer displays the angle offset value. At the same time, when the measurement angle is higher or lower than the set threshold, the system alarm device will be triggered. The hardware structure of the system is simplified, which can meet the high-speed data transmission work, and provides a more stable and accurate reference standard for attitude information.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132544583","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

Maritime Object Detection based on YOLOx for Aviation Image 基于YOLOx的航空图像海上目标检测

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930259

Yuan-bo Wang, Haiwen Yuan, Yongshuai Li, Bulin Zhang

引用次数: 0

Simulation and Analysis of Water Hammer Effect in Water Pipeline 输水管道水锤效应的模拟与分析

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930192

Cheng W. Wang, Jiakuan Gao, Xin Dang, Long Wu, Bo Liu, C. Shao

引用次数: 0