2023 8th International Conference on Computer and Communication Systems (ICCCS)最新文献_第9页

NM-LUD: A NLOS Mitigation Method with Low-cost UWB Devices for Indoor Positioning NM-LUD:一种利用低成本超宽带设备进行室内定位的NLOS缓解方法

2023 8th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2023-04-21 DOI: 10.1109/ICCCS57501.2023.10151336

Tong Wu, Han Li, Bo Gao, Ke Xiong, Pingyi Fan, K. Letaief

{"title":"NM-LUD: A NLOS Mitigation Method with Low-cost UWB Devices for Indoor Positioning","authors":"Tong Wu, Han Li, Bo Gao, Ke Xiong, Pingyi Fan, K. Letaief","doi":"10.1109/ICCCS57501.2023.10151336","DOIUrl":"https://doi.org/10.1109/ICCCS57501.2023.10151336","url":null,"abstract":"Ultra-wideband (UWB) is a popular technology for indoor positioning. However, non-line-of-sight (NLOS) propagation caused by human occlusion dramatically affects the accuracy of UWB-based indoor positioning. Most of the existing works focused on mitigating NLOS errors in the scenarios with building structure occlusion, but the NLOS mitigation under human occlusion has not been well addressed. To this end, this paper aims to mitigate the NLOS impact of human occlusion, and then proposes a method of NLOS mitigation to reduce NLOS ranging errors under human occlusion with low-cost UWB devices (i.e., NM-LUD). It takes a set of signal features extracted from low-cost devices as input, calculates their weights and mitigates the ranging error based on the features' weights. Experiment results on the two data sets collected by LinkTrack S and UML1 UWB devices show that the method reduces ranging error from 0.9009 m to 0.1435 m (about by 84.07%) and from 0.7466 m to 0.0792 m (about by 89.39%) respectively, which greatly mitigates the influence of NLOS caused by human occlusion.","PeriodicalId":266168,"journal":{"name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129577137","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

Mining High Utility Sequential Patterns in Dynamic Databases 动态数据库中高效序列模式的挖掘

2023 8th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2023-04-21 DOI: 10.1109/ICCCS57501.2023.10150937

J. Wu, Fengyang Li, Ranran Li, Shuo Liu, Huiying Zhou

引用次数: 0

Fiber Coupling Efficiency of Partially Coherent Gaussian Beam in Ground-to-HAP Free-Space Optical Communication Systems 自由空间光通信系统中部分相干高斯光束的光纤耦合效率

2023 8th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2023-04-21 DOI: 10.1109/ICCCS57501.2023.10150561

Jianhua He, Lu Wang, Xiang Chang, Qi Xie

引用次数: 0

Regional Intelligent Traffic Signal Control System Based on Multi-agent Deep Reinforcement Learning 基于多智能体深度强化学习的区域智能交通信号控制系统

2023 8th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2023-04-21 DOI: 10.1109/ICCCS57501.2023.10150595

Peng Zheng, Yanhao Chen, B. V. D. Kumar

{"title":"Regional Intelligent Traffic Signal Control System Based on Multi-agent Deep Reinforcement Learning","authors":"Peng Zheng, Yanhao Chen, B. V. D. Kumar","doi":"10.1109/ICCCS57501.2023.10150595","DOIUrl":"https://doi.org/10.1109/ICCCS57501.2023.10150595","url":null,"abstract":"Urban traffic congestion is becoming a severe problem. A reinforcement learning-based intelligent traffic signal control system can alleviate traffic congestion problems. However, when reinforcement learning faces complex multi-agent decision problems, it is difficult for single-agent reinforcement learning algorithms to realize the complex relationships among multiple agents. Therefore, integrating reinforcement learning with multi-agent techniques in multiple ways is becoming inevitable. Based on reinforcement learning, multi-agents obtain optimal regional strategies through continuous interaction and improvement. This paper proposes a new approach to regional intelligent traffic signal control combining multi-agent techniques and deep reinforcement learning. The method effectively reduces the average trip waiting time (ATWT) and the total waiting queue length (TWQL) of vehicles in the region while performing better on the reward function compared to the deep Q network (DQN) algorithm. This approach improves traffic efficiency and increases resource utilization efficiency while reducing congestion time, road utilization, and resource waste.","PeriodicalId":266168,"journal":{"name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132300539","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

A Comparative Study of Machine Learning and Automatic Machine Learning Models for Facial Mask Recognition 人脸识别中机器学习与自动机器学习模型的比较研究

2023 8th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2023-04-21 DOI: 10.1109/ICCCS57501.2023.10151333

Yuxin Pei

引用次数: 0

Electromagnetic Energy Theorems and the Energy-Viewpoint-Based Modal Analysis Theories 电磁能定理和基于能量视点的模态分析理论

2023 8th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2023-04-21 DOI: 10.1109/ICCCS57501.2023.10151009

Renzun Lian

{"title":"Electromagnetic Energy Theorems and the Energy-Viewpoint-Based Modal Analysis Theories","authors":"Renzun Lian","doi":"10.1109/ICCCS57501.2023.10151009","DOIUrl":"https://doi.org/10.1109/ICCCS57501.2023.10151009","url":null,"abstract":"The energy conservation law (ECL) is one of the most fundamental physical laws in the nature. The ECL has some different manifestation forms. The various manifestation forms can be mathematically expressed in terms of the corresponding energy theorems. The various energy theorems govern the energy utilization mechanisms of the corresponding physical phenomena. This paper simply reviews some important electromagnetic energy theorems, such as the entire-structure-oriented work-energy theorem (ES-WET), the partial-structure-oriented work-energy theorem (PS-WET), the energy transport theorem (ETT), the Poynting theorem, the Rayleigh-Carson reciprocity theorem (RT), the Rumsey RT, the Lorentz RT, and the Parseval theorem. The ES-WET governs the energy-scattering phenomenon; the PS-WET governs the lumped-port-driven energy-transmitting phenomenon; the ETT governs the wave-port-fed energy-transmitting phenomenon; the Poynting theorem governs the energy-absorbing phenomenon; the RTs govern the energy-coupling phenomenon; the Parseval theorem guarantees the energy invariance in the time domain, frequency domain, and spectrum domain. This paper simply summarizes some valuable energy-viewpoint-based modal analysis theories, such as the ES-WET-based characteristic mode theory (CMT) for energy-scattering phenomenon, the PS-WET-based CMT for lumped-port-driven energy-transmitting phenomenon, the ETT-based decoupling mode theory (DMT) for wave-port-fed energy-transmitting phenomenon, and the Poynting-theorem-based DMT for energy-absorbing phenomenon.","PeriodicalId":266168,"journal":{"name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114284483","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

A Low-Power RF Programmable Frequency Divider 一种低功率射频可编程分频器

2023 8th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2023-04-21 DOI: 10.1109/ICCCS57501.2023.10150629

Yu Zheng, Xiangning Chen

引用次数: 0

DoF Upper Bound on Three-User MISO Broadcast Channel with Two Antennas and Mixed CSIT 双天线混合CSIT三用户MISO广播信道的自由度上界

2023 8th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2023-04-21 DOI: 10.1109/ICCCS57501.2023.10150736

Shuo Zheng, T. Zhang, Shuai Wang, Gaojie Chen, Guoliang Li, Shancheng Zhao, Rui Wang

引用次数: 0

Synchronous Decryption Scheme for Real-time Voice Encrypted Communication Based on Frame ID 基于帧ID的实时语音加密通信同步解密方案

2023 8th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2023-04-21 DOI: 10.1109/ICCCS57501.2023.10150588

E. Songtao, Bin Yu, Yicai Huang

引用次数: 0

Prediction of Cable Crosstalk for USV Based on LIGHTGBM 基于LIGHTGBM的USV电缆串扰预测

2023 8th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2023-04-21 DOI: 10.1109/ICCCS57501.2023.10150671

Jifang Lyu, Ma Siyuan, Hu Dazhi

{"title":"Prediction of Cable Crosstalk for USV Based on LIGHTGBM","authors":"Jifang Lyu, Ma Siyuan, Hu Dazhi","doi":"10.1109/ICCCS57501.2023.10150671","DOIUrl":"https://doi.org/10.1109/ICCCS57501.2023.10150671","url":null,"abstract":"Unmanned surface vehicle (USV) is an intelligent surface platform. It is used to perform dangerous or unsuitable for manual operations. USV contains complex types of electronic equipment. It causes worse electromagnetic environment. In order to reveal the relationship between cable harness layout and electromagnetic compatibility in USV, this paper propose a regression prediction model based on Lightgbm. A physical model is established for crosstalk between parallel transmission lines in metal confined spaces in USV. The above model is trained by parameters such as the distance between the cable bundles, the height from the ground, the voltage of the interference source. The accuracy of the prediction model is verified by comparing various prediction models. It can be found that comparing with BP neural network model and the decision tree model, the prediction model based on LIGHTGBM have a higher accuracy. The accuracy reaches 99%, the MSE reaches 10e-6, and the MAPE reaches 0.312. It can predict cable crosstalk for USV in high accuracy and avoid the complex operation of traditional numerical calculation method, which can provide good guidance for design of USV.","PeriodicalId":266168,"journal":{"name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122057766","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