2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)最新文献_第2页

Design of Smart Home System Based on Internet of Things technology 基于物联网技术的智能家居系统设计

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930288

Can Zhou, Shihong Qin, Wei Zhou

引用次数: 1

A seamless switching technology based on VSG applied to microgrid 基于VSG的无缝开关技术在微电网中的应用

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930228

Tiancheng Fang, Weihua Jiang, Weibing Hu

引用次数: 1

Research on Particle Swarm Optimization algorithm incorporating Entropy Weight Method for UAV gas plume tracking subtask 结合熵权法的粒子群算法在无人机气羽跟踪子任务中的研究

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930254

Qing-Xue Zeng, Lei Cheng, Jiaqi Zhong

{"title":"Research on Particle Swarm Optimization algorithm incorporating Entropy Weight Method for UAV gas plume tracking subtask","authors":"Qing-Xue Zeng, Lei Cheng, Jiaqi Zhong","doi":"10.1109/AICIT55386.2022.9930254","DOIUrl":"https://doi.org/10.1109/AICIT55386.2022.9930254","url":null,"abstract":"Unlike ground robot that performs Gas Source Localization task (GSL) in a two-dimensional plane, UAV can be applied to various three-dimensional space scenarios due to their flexibility. However, due to the interference of wind speed and wind direction, the gas diffusion distribution is uneven, resulting in different confusion degrees in the gas distribution. Based on this, this paper proposes a Particle Swarm optimization algorithm (PSO) incorporating Entropy Weight method (EWM) for UAV gas plume tracking strategy, which referred to as EWM-PSO algorithm below, and the Gaussian gas plume model in three-dimensional space is used to simulate the interference between wind speed and wind direction. As for this algorithm, EWM is used to calculate the entropy value and comprehensive score at each position, PSO uses the comprehensive score as its fitness value, which will guide the UAV move towards the position with high concentration value, i.e., the position of the gas plume source. After setting up two groups of comparative experiments, the results verify that this algorithm has high universality and accuracy.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"48 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":"131565881","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

Garbage classification algorithm based on improved lightweight network shufflenetV2 基于改进的轻量级网络shufflenetV2的垃圾分类算法

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/aicit55386.2022.9930200

Tianhui Li, Xi Li, Congcong Li

{"title":"Garbage classification algorithm based on improved lightweight network shufflenetV2","authors":"Tianhui Li, Xi Li, Congcong Li","doi":"10.1109/aicit55386.2022.9930200","DOIUrl":"https://doi.org/10.1109/aicit55386.2022.9930200","url":null,"abstract":"Aiming at the problem that the current deep learning garbage classification model cannot take into account high accuracy, small model size and high real-time performance, a garbage classification algorithm based on the improved lightweight network Shufflenet V2 is proposed. By improving the basic unit of Shufflenet V2 and introducing the attention mechanism module of CBAM, the feature extraction ability of the network was enhanced. Reduce the number of units used in each stage layer in the network structure, reduce the amount of parameters and calculation of the model, and at the same time, avoid excessively deep networks to extract irrelevant information, resulting in loss of accuracy. Replace the ReLU activation function with the Leakyrelu activation function to increase the richness of the extracted feature information. Use label smoothing loss function to reduce the negative impact due to sample class imbalance. The experimental results show that the accuracy of the algorithm on the self-built dataset is 81.26%. The parameter quantity of the model is about 0.917M, and the calculation quantity is about 92.75MFlops and 182. 32M MAdd. The accuracy of the algorithm is better than Resnet101, and the parameter quantity is only 1/44 of Resnet101, which provides a reference for the deployment and application of garbage classification and identification method in resource constrained devices such as mobile terminals.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"39 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":"131888496","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

Event Extraction for Military Target Motion in Open-source Military News 开源军事新闻中军事目标运动的事件提取

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930248

Yuheng Zhang, Sheng Zheng, Zhang Sheng

{"title":"Event Extraction for Military Target Motion in Open-source Military News","authors":"Yuheng Zhang, Sheng Zheng, Zhang Sheng","doi":"10.1109/AICIT55386.2022.9930248","DOIUrl":"https://doi.org/10.1109/AICIT55386.2022.9930248","url":null,"abstract":"Open-source military news is the data source of open-source intelligence analysis, which can assist intelligence analysis by event extracting. Military events include the military target motion events which involve changes in multiple places. It is very important to infer the movement trajectory of a military target from the location-changing process of multiple place arguments. However, the traditional event extraction cannot reflect the location-changing process of multiple place arguments during the target moving. To solve this problem, this paper designs multiple place roles to learn location semantics relationship among place arguments for reflecting the location-changing process of multiple place arguments. We adopt the method of sequence labeling to convert military target moving event extraction into a multi-classification problem. This paper uses the pre-trained model Roberta for feature learning and a linear layer for a trigger word (or argument) classification. Since there is no standard military event dataset, this paper constructs an event dataset of military target moving. On this dataset, the F1 of event extraction reaches 72.7%, which is a certain improvement compared with each benchmark model.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"33 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":"114515903","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 Automatic Leveling Control System for Special Vehicle-mounted Platform 专用车载平台自动调平控制系统设计

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930164

L. Guo, Honghua Tan, Minghui Zeng

引用次数: 0

Hand Rehabilitation System Based on Flexible Pressure Sensor 基于柔性压力传感器的手部康复系统

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930323

Lei Chen, Tao Xiong, Zicheng Li, Wentao Dong

{"title":"Hand Rehabilitation System Based on Flexible Pressure Sensor","authors":"Lei Chen, Tao Xiong, Zicheng Li, Wentao Dong","doi":"10.1109/AICIT55386.2022.9930323","DOIUrl":"https://doi.org/10.1109/AICIT55386.2022.9930323","url":null,"abstract":"With the development of the social economy, the demand for rehabilitation medical devices is also increasing. However, most rehabilitation devices on the market currently have problems such as bulky equipment, inconvenient operation, and high cost. Taking hand grasp force as the main monitoring parameter, this paper designs a low-cost hand rehabilitation system that is convenient to use, can remotely monitor the progress of hand rehabilitation. The system can well solve the large volume of equipment caused by the complex structure of the existing hand rehabilitation equipment. It can also solve the problems that the device cannot obtain the data of the patient’s recovery in real-time and the use cost is too high. The system includes five modules: flexible pressure sensor module, voltage conversion module, microcomputer module, LCD module and NB-IoT communication module. The flexible pressure sensor module can be attached to the patient’s hand to monitor the recovery data in real-time and see the recovery progress visually on the LCD screen. In addition, rehabilitation data can be uploaded remotely through the NB-IoT communication module for remote guidance by professional doctors to speed up the process of hand rehabilitation.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"25 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":"124504151","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

Defect detection of printed circuit board based on improved YOLOv5 基于改进YOLOv5的印刷电路板缺陷检测

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930318

Bing He, Jinxuan Zhuo, Xusheng Zhuo, Siyuan Peng, Tong-lu Li, Hong Wang

引用次数: 3

Research on stealthy UAV path planning based on improved genetic algorithm 基于改进遗传算法的隐身无人机路径规划研究

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930235

Wangkang Li, Li Cheng, Jia Hu

引用次数: 0

Flower Greenhouse Environmental Monitoring System Based on Cloud Platform 基于云平台的花卉温室环境监测系统

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI: 10.1109/AICIT55386.2022.9930269

Hang Zhou, Shihong Qin, Jingcheng Fang

引用次数: 0