2021 9th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)最新文献_第2页

Recognition of Astronomical Strong Gravitational Lens System Based on Deep Learning 基于深度学习的天文强引力透镜系统识别

2021 9th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC) Pub Date : 2021-06-04 DOI: 10.1109/ICWOC52624.2021.9529967

Chang Liu, Zhirui Zhang, Jiawen Li, Yun Li, Zhiqiang Zou

{"title":"Recognition of Astronomical Strong Gravitational Lens System Based on Deep Learning","authors":"Chang Liu, Zhirui Zhang, Jiawen Li, Yun Li, Zhiqiang Zou","doi":"10.1109/ICWOC52624.2021.9529967","DOIUrl":"https://doi.org/10.1109/ICWOC52624.2021.9529967","url":null,"abstract":"Dark matter is an important part of cosmological matter, and gravitational lensing is a fundamental way to study the distribution of dark matter. Therefore, the gravitational lensing system is of great significance to the study of astrophysics. However, since strong gravitational lensing is extremely rare, the number of strong lensing candidate galaxies within the galaxy is also very large. To find these rare objects, we need to find them from at least tens of millions of images. The features based on the shallow structure are difficult to perfectly process these broad sense image data. In order to improve the efficiency and accuracy of recognition, a deep learning-based astronomical method for astronomical strong gravitational lensing systems is proposed, which first requests the classification of image data using label files. Next, data preprocessing is used for augmentation of targets in images, which provides more samples and more features can be learnt. After classification and preprocessing, the neural network is trained with the data, so as to facilitate the detection of strong lenses. By actual testing, the experiments show that the results of our method is 4.88% higher than Kapteyn Resnet and 7.5% higher than Manchester-SVM in model evaluation index AUC.","PeriodicalId":127966,"journal":{"name":"2021 9th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115935515","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

Reconnaissance and Experiment on 5G-SA Communication Terminal Capability and Identity Information 5G-SA通信终端能力与身份信息的侦察与实验

2021 9th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC) Pub Date : 2021-06-04 DOI: 10.1109/ICWOC52624.2021.9530217

Cong Wu, Rong Shi, Ke Deng

{"title":"Reconnaissance and Experiment on 5G-SA Communication Terminal Capability and Identity Information","authors":"Cong Wu, Rong Shi, Ke Deng","doi":"10.1109/ICWOC52624.2021.9530217","DOIUrl":"https://doi.org/10.1109/ICWOC52624.2021.9530217","url":null,"abstract":"With the rapid development of mobile communication technology, the reconnaissance on terminal capability and identity information is not only an important guarantee to maintain the normal order of mobile communication, but also an essential means to ensure the electromagnetic space security. According to the characteristics of 5G mobile communication terminal’s transporting capability and identity information, the smart jamming is first used to make the target terminal away from the 5G network, and then the jamming is turned off at once. Next the terminal will return to the 5G network. Through the time-frequency matching detection method, interactive signals of random access process and network registration between the terminal and the base station are quickly captured in this process, and the scheduling information in Physical Downlink Control Channel (PDCCH) and the capability and identity information in Physical Uplink Shared Channel (PUSCH) are demodulated and decoded under non-cooperative conditions. Finally, the experiment is carried out on the actual 5G communication terminal of China Telecom. The capability and identity information of this terminal are extracted successfully in the Stand Alone (SA) mode, which verifies the effectiveness and correctness of the method. This is a significant technical foundation for the subsequent development on the 5G terminal control equipment.","PeriodicalId":127966,"journal":{"name":"2021 9th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125871416","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 Coverage and Networking Capability of 5G 40M FDD Bandwidth Enhancement Compared with 100M TDD 5G 40M FDD带宽增强与100M TDD的覆盖及组网能力研究

2021 9th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC) Pub Date : 2021-06-04 DOI: 10.1109/ICWOC52624.2021.9529964

Yuetian Zhou, Ming Wei, Chunlei Hu, Xiaohan Xu, Weiliang Xie

{"title":"Research on Coverage and Networking Capability of 5G 40M FDD Bandwidth Enhancement Compared with 100M TDD","authors":"Yuetian Zhou, Ming Wei, Chunlei Hu, Xiaohan Xu, Weiliang Xie","doi":"10.1109/ICWOC52624.2021.9529964","DOIUrl":"https://doi.org/10.1109/ICWOC52624.2021.9529964","url":null,"abstract":"3GPP Release 16 will freeze the 2.1GHz FDD NR enhanced 40M large bandwidth standard in July 2020. At present, a small number of terminals have experimental capability. In the 3.5GHz TDD NR network with 100M bandwidth, how to use 2.1GHz FDD NR has become a hot issue in the industry. This paper compares the coverage and capacity of 2.1GHz FDD NR and 3.5GHz TDD NR through link budget and theoretical calculation; compares the uplink and downlink coverage of the two systems through single station pull-out experiment; selects the existing network with 2.1GHz FDD NR and 3.5GHz TDD NR deployed at the same site as the experimental site, and analyzes the uplink and downlink networking capacity of the two systems through Driving Test (DT). Considering the influence of the number of transmitting antennas of existing terminals and the transmitting power of network equipment on the network planning, the network capacity of this experiment includes 2.1GHz 4T4R and 3.5G 64TR, the terminal capacity includes 2.1GHz 1T4R, 2.1GHz 2T4R and 3.5GHz 2T4R, and the power consumption of network equipment involves 2.1GHz: 4×40W and 4×60W; 3.5GHz: 160W and 200W. At present, there is no literature about the existing network experiment of multi-power consumption and multiterminal type, so this paper has important reference significance for operators to deploy 2.1GHz+3.5GHz network.","PeriodicalId":127966,"journal":{"name":"2021 9th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128287399","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: 5

Optimization of Task Offloading Problem Based on Simulated Annealing Algorithm in MEC 基于模拟退火算法的MEC任务卸载问题优化

2021 9th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC) Pub Date : 2021-06-04 DOI: 10.1109/ICWOC52624.2021.9530216

Ying Li

引用次数: 3