发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Multi Optical Axis Parallelism Detection Method for Multiple UAVs Based on Multi-Sensor Data Fusion 基于多传感器数据融合的多无人机多光轴平行度检测方法
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016164
Xin Zhao, Xue Liu, Fuli Qi, Ping Yan, Ling Yang
{"title":"Multi Optical Axis Parallelism Detection Method for Multiple UAVs Based on Multi-Sensor Data Fusion","authors":"Xin Zhao, Xue Liu, Fuli Qi, Ping Yan, Ling Yang","doi":"10.1109/TOCS56154.2022.10016164","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016164","url":null,"abstract":"In recent years, multi-sensor data fusion(DF) technology has been gradually applied in the field of optical axis parallel detection of UAV photoelectric platform. Although it is rarely used and started late, scholars have still made some breakthrough research results. In this paper, multi-sensor DF technology is applied to the multi optical axis parallelism detection(MOAPD) method of multiple UAVs, and the specific operation process of MOAPD and parallelism measurement of multiple UAVs is analyzed; The multi-sensor DF technology is discussed. Through the analysis of data measurement, measurement range and measurement accuracy, the multi optical axis system is tested using the designed measurement system. The effectiveness of the MOAPD method for multi UAVs based on multi-sensor DF is verified.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"1 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":"123068575","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 Intelligent Network Operation Management System Based on Anomaly Detection and Time Series Forecasting Algorithms 基于异常检测和时间序列预测算法的智能网络运营管理系统研究
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016167
Jian Guo, Huan Guo, Zhong Zhang
{"title":"Research on Intelligent Network Operation Management System Based on Anomaly Detection and Time Series Forecasting Algorithms","authors":"Jian Guo, Huan Guo, Zhong Zhang","doi":"10.1109/TOCS56154.2022.10016167","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016167","url":null,"abstract":"The research try to implements an intelligent network operation management system for enterprise networks. First, based on Flask-state software architecture, the system adapt to Phytium CPU and Galaxy Kylin operating system successfully. Second, using the Isolation Forest algorithm, the system implements the anomaly detection of host data such as CPU usage. Third, using the Holt-winters seasonal prediction model, the system can predict time series data such as network I/O. The results show that the system can realizes anomaly detection and time series data prediction more precisely and intelligently.","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":"116993234","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
Analysis of Fire Line Vibration and Realization on Motion Prediction Gate 火线振动分析及运动预测门的实现
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10015932
Liu Jinsuo, Tian Xingke, Qin Shumin, Yang Shuo, Zhang Guangxiang
{"title":"Analysis of Fire Line Vibration and Realization on Motion Prediction Gate","authors":"Liu Jinsuo, Tian Xingke, Qin Shumin, Yang Shuo, Zhang Guangxiang","doi":"10.1109/TOCS56154.2022.10015932","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10015932","url":null,"abstract":"During the dynamic firing process of artillery of armored vehicle, the fire line cannot stay in the firing door stably due to the influence of vehicle vibration and road excitation. Through the analysis of the firing line vibration in the firing process of the weapon station, it is found that the main frequency is concentrated below 10Hz, and the noise frequency is introduced from the start-up of the ammunition conveyor. After filtering the interference frequency, the 10-step prediction error is significantly reduced. Then the concept of \"prediction gate\" is proposed. Based on the original firing gate, the prediction value is used as the firing gate judgment condition, which not only reduces the shooting error, but also prolongs the controlled time of the fire line, and provides a new idea to solve this problem.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"24 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":"124917858","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 Construction of Armament Knowledge Graph by Protégé 基于prot<s:1>的武器装备知识图谱构建研究
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016198
Qu Hui
{"title":"Research on Construction of Armament Knowledge Graph by Protégé","authors":"Qu Hui","doi":"10.1109/TOCS56154.2022.10016198","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016198","url":null,"abstract":"With the in-depth development of military informationization, the construction of weapon and equipment knowledge graph is the basis for the intelligent development of battle commanding, and is one of the important technologies to improve the decision-making level of combat data. This paper proposes a framework of knowledge graph construction of weapons and equipment based on Protégé, and describes the corresponding key technologies of each link of the knowledge graph building of weapons and equipment, to provide theoretical and methodological support for improving design and construction of knowledge graph of weapons and equipment.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"24 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":"123565902","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
Sub-pixel edge extraction method based on subpixel edge detection model 基于亚像素边缘检测模型的亚像素边缘提取方法
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016037
Yu Cao, Maosong Wang
{"title":"Sub-pixel edge extraction method based on subpixel edge detection model","authors":"Yu Cao, Maosong Wang","doi":"10.1109/TOCS56154.2022.10016037","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016037","url":null,"abstract":"Image edge extraction and recognition are of great significance for the measurement accuracy of various workpieces and parts. It is important to burrs and edge shadows, as well as the effect of shooting under illumination conditions. Finally, the number of representative image edge profiles, the number and coordinates of sub-pixel points of each edge profile, and the length of the total edge profile are calculated. For sub-precision edge extraction of a given image, we first pre-process the image, roughly locate the image edges using the Canny operator, then sample the 7x7 region around the edge points, optimize the sub-pixel accuracy using the Zernike 7x7 template, and finally obtain the output point set.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"45 7 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":"123709865","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 Research in Computer Design System Based on 3D High-Definition Image Visual Communication 基于三维高清图像视觉传达的计算机设计系统应用研究
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016025
Zimo Chen
{"title":"Application Research in Computer Design System Based on 3D High-Definition Image Visual Communication","authors":"Zimo Chen","doi":"10.1109/TOCS56154.2022.10016025","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016025","url":null,"abstract":"Aiming at the problems of blurred contours and incomplete overall distribution shape after 3D high-definition image registration, this paper proposes a multi-dimensional visual communication down-projection transformation image registration simulation. Matching points require the image to satisfy peripolar geometric constraints after correction. On the basis of the above, this paper uses 3D printing technology to obtain the internal structure of the image. This paper combines the stereo matching algorithm to simplify the huge visual communication image by using the grayscale of the pixel and the linear combination of its gradient as the similarity measure. Simulation experiments have fully verified the practicability and effectiveness of the method in this paper.","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":"114898344","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
Optimization of Blockchain Storage Architecture Based on Voronoi Diagram 基于Voronoi图的区块链存储架构优化
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016089
Xiaofeng Chen, Xiangjuan Jia, Lu Zhang, Liang Cai
{"title":"Optimization of Blockchain Storage Architecture Based on Voronoi Diagram","authors":"Xiaofeng Chen, Xiangjuan Jia, Lu Zhang, Liang Cai","doi":"10.1109/TOCS56154.2022.10016089","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016089","url":null,"abstract":"The decentralized blockchain network architecture lacks the centralized management nodes in the traditional centralized distributed network, and if a subset containing K nodes needs to be searched in order to find the nearest set of nodes for merging distributed engines to improve the communication efficiency, the computational overhead of such an operation is huge. In order to solve the problem of inefficient information communication flow caused by the lack of centralized management nodes in blockchain networks, this paper proposes a blockchain structure storage architecture optimization scheme based on Voroni graph, which can quickly determine the impact of merging distributed storage engines on information communication efficiency and thus help to optimize the blockchain distributed storage architecture. The final implementation optimizes a problem that requires searching from O(n^k) subsets of prior art to an O(n*k) search problem.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"98 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":"122516459","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
Buckwheat Grain Image Segmentation Based on U-Net Model 基于U-Net模型的荞麦颗粒图像分割
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016009
Bo Wang, Shaozhong Lv, Nan Zhou, Xinyu Wang, Zhengbing Xiong, Xiaohua Sun
{"title":"Buckwheat Grain Image Segmentation Based on U-Net Model","authors":"Bo Wang, Shaozhong Lv, Nan Zhou, Xinyu Wang, Zhengbing Xiong, Xiaohua Sun","doi":"10.1109/TOCS56154.2022.10016009","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016009","url":null,"abstract":"In order to improve the segmentation effect of buckwheat grain image, the improved U-Net network was used to increase the network depth and the Batch Normalization layer was added; Transfer learning is introduced and Pascal VOC pre training model is adopted to improve the performance of the model; A new loss function combining Dice loss and Cross Entropy loss (CEloss) is used to mitigate the sample imbalance. The buckwheat grain mixture images collected by the image acquisition experimental platform were annotated, 175 512 pixel images were selected as the initial samples, and data enhancement was used to expand the data to improve the robustness and generalization ability of the model. The test results showed that the comprehensive evaluation index value of the segmentation of non shelled buckwheat was 97. 99%, the comprehensive evaluation index value of the segmentation of intact buckwheat rice was 89. 62%, and the comprehensive evaluation index value of the segmentation of broken buckwheat rice was 72. 70%. The buckwheat grain image segmentation algorithm based on the U-Net model proposed in this paper can effectively segment the unwrapped buckwheat, intact buckwheat rice and broken buckwheat rice in the buckwheat grain image, with higher accuracy, and is of great significance to the realization of adaptive optimal control of the buckwheat husker.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"14 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":"114185081","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
New Energy Operation Platform Monitoring Data Verification Method Based on Correlation Analysis Algorithm 基于关联分析算法的新能源运营平台监测数据验证方法
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016183
Lin Dewei, Sun Haosong, Lin Chenhan, D. Ning, Weng Binxin, Liao Jinhu
{"title":"New Energy Operation Platform Monitoring Data Verification Method Based on Correlation Analysis Algorithm","authors":"Lin Dewei, Sun Haosong, Lin Chenhan, D. Ning, Weng Binxin, Liao Jinhu","doi":"10.1109/TOCS56154.2022.10016183","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016183","url":null,"abstract":"In recent years, new energy has developed rapidly, and all countries in the world regard new energy as the focus of sustainable economic and social development. The purpose of this paper is to study the monitoring data verification method of the new energy operation platform based on the correlation analysis algorithm. In order to solve the data transmission errors of the new power operation platform and monitor the data transmission process as the goal, the grey relational analysis method is deeply studied, and the functions of data collection, power generation monitoring and operation analysis of the new energy operation platform are proposed. The correlation analysis algorithm is used to extract new energy-related data, and a 3D CRC control technology is proposed to accurately detect error information and achieve error detection and correction capabilities at the sender and receiver. Finally, the monitoring data loss detection rate transmitted by the new power operation platform is 51.84×10-5. This method improves the analysis and verification level of system data, and better meets the requirements of the new energy operation platform for data accuracy and reliability.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"6 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":"114519122","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 Research of Mechatronics System Based on Computer Artificial Intelligence Technology 基于计算机人工智能技术的机电一体化系统应用研究
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10015946
Yutian Xu, Hui Xu, C. Yao
{"title":"Application Research of Mechatronics System Based on Computer Artificial Intelligence Technology","authors":"Yutian Xu, Hui Xu, C. Yao","doi":"10.1109/TOCS56154.2022.10015946","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10015946","url":null,"abstract":"This paper analyzes the basic connotation and advantages of mechatronics technology in intelligent manufacturing. This paper analyzes the practical application of computer artificial intelligence technology in numerical control technology, sensor technology, production and processing technology, intelligent robot and system integration. This paper takes electromechanical pneumatics as an example to design an artificial intelligence system. First of all, this paper attempts to use the radial basis function-based meshless method to carry out aerodynamic numerical simulation. Then a simple aerodynamic case is processed with Fluent; finally, a simple comparison is made with the results obtained by the mechatronics pneumatic meshless method. It is found that the radial basis function collocation method is a real mechatronics aerodynamic meshless method and the algorithm is simple. The research results of this paper can assist the in-depth study of computer artificial intelligence technology in mechatronics systems.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"5 3 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":"116816438","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
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信