2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)最新文献_第2页

Scheduling study of vascular robot ordering and biological learning based on mixed integer programming model 基于混合整数规划模型的血管机器人排序与生物学习调度研究

2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016152

Zhenan Ding, Chenyuan Jia, Jingyao Han

引用次数: 0

Temporal-Spatial Mapping Model Based on Hidden Markov Model 基于隐马尔可夫模型的时空映射模型

2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016146

Zhiyuan He, Weitao Zheng, Yuxiang Cai

引用次数: 0

The Research on Material Properties Database System Based on Network Sharing 基于网络共享的材料性能数据库系统研究

2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016163

Cuifang Zheng, Jiaju Wu, Linggang Kong, Shujun Kang, Zheng Cheng, Bin Luo

{"title":"The Research on Material Properties Database System Based on Network Sharing","authors":"Cuifang Zheng, Jiaju Wu, Linggang Kong, Shujun Kang, Zheng Cheng, Bin Luo","doi":"10.1109/TOCS56154.2022.10016163","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016163","url":null,"abstract":"Based on the analysis of material performance data management requirements, a network-sharing scheme of material performance data is proposed. A material performance database system including material performance data collection, data query, data analysis, data visualization, data security management and control modules is designed to solve the problems of existing material performance database network sharing, data fusion and multidisciplinary support, and intelligent services Inadequate standardization and data security control. This paper adopts hierarchical access control strategy. After logging into the material performance database system, users can standardize the material performance data and store them to form a shared material performance database. The standardized material performance data of the database system shall be queried and shared under control according to the authority. Then, the database system compares and analyzes the material performance data obtained from controlled query sharing. Finally, the database system visualizes the shared results of controlled queries and the comparative analysis results obtained. The database system adopts the MVC architecture based on B/S (client/server) cross platform J2EE. The Third-party computing platforms are integrated in System. Users can easily use material performance data and related services through browsers and networks. MongoDB database is used for data storage, supporting distributed storage and efficient query.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128643063","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 synthetic algorithm for simulating the situation of cyclists 模拟骑车人状况的综合算法研究

2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016047

Beibei Wang, Kexin Zhou, Ziye Wang, Meng Bi

引用次数: 0

Forest fire smoke recognition and detection based on EfficientNet 基于effentnet的森林火灾烟雾识别与检测

2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016028

Yutong Li

{"title":"Forest fire smoke recognition and detection based on EfficientNet","authors":"Yutong Li","doi":"10.1109/TOCS56154.2022.10016028","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016028","url":null,"abstract":"Forest fire, which is particularly difficult to put out, will result in lots of loss. In addition, it will also have a negative impact on the economy and the environment. Thus, the research on forest fire and smoke detection is always able to attract people’s attention. This paper combines forest fire recognition with deep learning. As a light neural network, EfficientNet is able to avoid the complexity and blindness of manual feature extraction in traditional image recognition methods. In this paper, Whale Optimization Algorithm, NAS structure search, and Progressive Learning Strategy are used to optimize the EfficientNet. Firstly, the optimal scaling factors was found. Secondly, the EfficientNet+ was designed by imitating the structure search strategy of MnasNet, and using NAS to search for the most spatial structure. Finally, the model was trained with a progressive learning strategy. The optimized EfficientNet+ has a faster training speed, higher accuracy, and fewer parameters. In terms of inference speed, it has higher accuracy and faster speed. Compared to the EfficientNet, the training time is 10h, the inference speed is 25ms, and the model accuracy is improved by 1% after optimization (85.3% vs. 86.8%).","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126918982","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 Intelligent System for Solidification Processing of Engineering Mud Based on Data Mining Algorithm 基于数据挖掘算法的工程泥浆固化处理智能系统设计

2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016131

W. Xiang

{"title":"Design of Intelligent System for Solidification Processing of Engineering Mud Based on Data Mining Algorithm","authors":"W. Xiang","doi":"10.1109/TOCS56154.2022.10016131","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016131","url":null,"abstract":"Based on sensor technology, computer technology and automatic control technology, this paper develops an intelligent system for mud solidification treatment. The system controls the transmission and reception of ultrasonic waves through a single-chip microcomputer, and measures the attenuation value of ultrasonic waves with known parameters. The system uses piezoresistive pressure sensor, electromagnetic flowmeter, self-designed self-circulating differential pressure density meter and capacitive grid sensor to perform high-precision and dynamic detection of 4 key technical parameters of grouting pressure, flow rate, density and formation lift value respectively. In this paper, the dynamic equation data mining algorithm is used to deal with the mud solidification process. At the same time, the system uses the PLC module to automatically control the pressure fluctuation and maintain its stability according to the grouting conditions, and then realizes intelligent self-adaptive grouting curing. The test found that the pressure automatic control accuracy of the adaptive grouting curing measurement and control system remained within 5% of the set value. The system has convenient layout, strong pertinence and simple operation, and has obvious promotion advantages.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129077465","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 Teaching Mode of Information Visualization Course for Visual Communication Design Major Based on Artificial Intelligence Technology 基于人工智能技术的视觉传达设计专业信息可视化课程教学模式研究

2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016125

Xiaohuang Liu

引用次数: 0

An advanced algorithm for discrimination prevention in data mining 数据挖掘中防止歧视的一种高级算法

2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10015960

Shuo Wang, J. Ren, Hao Fang, Jun Pan, Xin Hu, Tingyun Zhao

引用次数: 0

Research on Remote Sensing Image Target Detection Algorithm Based on Optical Measurement Information 基于光学测量信息的遥感图像目标检测算法研究

2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016149

Yuhan Wang

{"title":"Research on Remote Sensing Image Target Detection Algorithm Based on Optical Measurement Information","authors":"Yuhan Wang","doi":"10.1109/TOCS56154.2022.10016149","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016149","url":null,"abstract":"In recent years, remote sensing information analysis of imaging reconnaissance or earth observation has become an important technical means, and optical RSIs are widely used for target detection (TD) and identification in military intelligence reconnaissance, intelligent traffic monitoring and other fields because of their characteristics of obtaining detailed information of target features. For the acquired massive RSIs, how to obtain the target area of interest and extract the target features from the large scene images, so as to support the application of TD and recognition is still an important research topic. The main objective of this paper is to investigate the TD algorithm of RSIs based on optical measurement information. In this paper, a saliency feature analysis method combining foreground features and background a priori knowledge is investigated, which calculates the boundary probability measure similarity and clusters to generate the background saliency map, introduces the feature weight constraint clustering to generate the foreground saliency map, and guides the weighted fusion to obtain the ship target saliency map after the background saliency map. The experimental demonstration shows that the accuracy of this method is ≥94% and the recall rate is ≥91%, which can effectively eliminate the difficulty of acquiring the ship area when the cloud interference.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126331501","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 High Dynamic Composite Detector Based on Rotating Stable Projectile 基于旋转稳定弹的高动态复合探测器设计

2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016156

Z. Hang, Yin Ximei, Xue Song, Wu Hao

引用次数: 0