2022 7th International Conference on Computer and Communication Systems (ICCCS)最新文献_第10页

Energy-based Nonstationary Acoustic Source Localization in Correlated Noise Environment 相关噪声环境下基于能量的非平稳声源定位

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9845869

Bo Xiao, Bingpeng Zhou, Qingchun Chen, Chengyun Zhang

引用次数: 0

Model-Based Machine Learning for Energy-Efficient UAV Placement 基于模型的机器学习节能无人机布局

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846781

Shiyang Zhou, Yufan Cheng, Xia Lei

{"title":"Model-Based Machine Learning for Energy-Efficient UAV Placement","authors":"Shiyang Zhou, Yufan Cheng, Xia Lei","doi":"10.1109/icccs55155.2022.9846781","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846781","url":null,"abstract":"Serving as aerial base stations, unmanned aerial vehicles (UAVs) can provide wireless coverage for the ground users. To achieve the goal of energy-efficient coverage, this paper proposes a model-based UAV placement algorithm. Specifically, the UAV coordinate is determined via machine learning based UAV-to-ground channel estimation. First, We establish a probabilistic UAV-to-ground transmission pathloss model with unknown channel parameters, which are estimated based on supervised learning. Among them, we collect the training data from the diverse coordinates of the UAV and the ground users and the corresponding pathloss feedback from the ground users. Then, the optimal UAV placed altitude is solved by gradient descent via the learned channel model to perfectly cover the served area with the minimum transmit power. Simulation results are presented to validate that the proposed model-based learning scheme can precisely estimate the channel parameters. Moreover, the proposed model-based UAV placement algorithm cover the served area with lower transmit power compared with model-free UAV placement algorithm.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128621330","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 Ultra-Wideband Frequency Synthesis Source Based on DDS and PLL 基于DDS和锁相环的超宽带频率合成源设计

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9845862

Yubin Yang, Zhiying Cao, Qinglong Zhang, Chunqing Xu, E. Chen, Shengkai Sun

引用次数: 0

Wristband Fall Detection System Using Deep Learning 使用深度学习的腕带跌落检测系统

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846023

Kulwarun Warunsin, Thongchai Phairoh

引用次数: 3

CCSAE-Based Un-Cooperative Communication Behavior Recognition Scheme 基于ccsae的非合作通信行为识别方案

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846728

Kaixin Cheng, Lei Zhu, Wenyu Wang, Pu Chen

引用次数: 1

Overview of Short-range Wireless Communication Protocol 短距离无线通信协议概述

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846125

Shuai Cao, Xiangning Chen, B. Yuan

引用次数: 3

Research on Multi-round Dialogue Tasks Based on Sequicity 基于顺序的多轮对话任务研究

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846540

Yingrui Pang, Zhenni Gong, Zixuan Zhao, Yanyan Xu, Dengfeng Ke, Kaile Su

{"title":"Research on Multi-round Dialogue Tasks Based on Sequicity","authors":"Yingrui Pang, Zhenni Gong, Zixuan Zhao, Yanyan Xu, Dengfeng Ke, Kaile Su","doi":"10.1109/icccs55155.2022.9846540","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846540","url":null,"abstract":"Multi-round dialogue is one of the most practical techniques in natural language processing. The current multi-round dialogue systems generally suffer from contextual information loss and lack of diversity in generated answers. Therefore, we propose a model based on Sequicity. We use the gate recurrent unit (GRU) to encode the current question, the response of the previous sentence and the semantic slot information. Then, encoding results are fed into a context encoder to generate context information. During the training procedure, the results of the two encoders are input into the recognition network, and the latent variables are sampled from the recognition network; During the test procedure, the concatenating results are input into the prior network, and the latent variables are sampled from the prior network. The latent variables, the encoding results of the current question and the above semantic slot information are concatenated and input to the response decoder. Finally, the decoder employs the Softmax function for decoding. On both CamRest and KVRET public datasets, the proposed model achieves the best results. Compared with the baseline Sequicity, which had the best results before on CamRest, the model's Success F1 is relatively improved by 3.4%, BLEU by 9.6% and Entity match rate by 3.3%. On the KVRET dataset, Success F1 is relatively improved by 2.0%, BLEU by 1.5% and Entity Match Rate by 2.8%.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126862907","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

Survey and Compare of Some Embedded Operation Systems for the Internet of Things 几种物联网嵌入式操作系统的综述与比较

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846440

B. Yuan, Xiangning Chen, Shuai Cao

{"title":"Survey and Compare of Some Embedded Operation Systems for the Internet of Things","authors":"B. Yuan, Xiangning Chen, Shuai Cao","doi":"10.1109/icccs55155.2022.9846440","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846440","url":null,"abstract":"The Internet of Things has a very wide range of applications, and embedded devices are widely used in new fields such as smart home, smart transportation, medical care, and smart cars. The embedded operating system for the Internet of Things should have good real-time performance and reliability, can make more reasonable and effective use of CPU resources, simplify the design of application software, and improve the efficiency of system development. With the rapid development of the Internet of Things and the gradual maturity of Internet of Things applications, the Internet of Things OS developed on the basis of embedded real-time operating systems is emerging. The embedded operating system running in the Internet of Things environment is different from the ordinary RTOS and has new technical characteristics and requirements. Through the study of the development history of the Internet of Things operating system and a brief analysis of the technical architecture of several emerging and powerful Internet of Things operating systems such as Huawei LiteOS, AliOS Things, and RT-Thread, this article summarizes the characteristic requirements of the kernel and peripheral modules of the embedded operating system oriented to the Internet of Things.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125185626","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

Energy-efficient UAV Trajectory Optimization for Securing Data Collection 保障数据采集的高效节能无人机轨迹优化

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9845978

Dong Wang, Tao Wang, Ke-ming Huang, Yanping Yang

{"title":"Energy-efficient UAV Trajectory Optimization for Securing Data Collection","authors":"Dong Wang, Tao Wang, Ke-ming Huang, Yanping Yang","doi":"10.1109/icccs55155.2022.9845978","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9845978","url":null,"abstract":"Due to fully controllable mobility and on-demand deployment, despatching unmanned aerial vehicles (UAVs) to collect sensing data from distributed sensor nodes (SNs) is an emerging application in the Internet of Things. To jointly deal with the data security and energy limitation in UAV-enabled wireless sensor networks, the energy-efficient trajectory optimization for UAV data collections is investigated based on the framework of physical layer security. The performance metric of secrecy energy efficiency (EE) is maximized by using the optimization approaches of fractional programming and sequential convex approximation. A solution scheme based on the two optimization approaches is addressed, which transform the primal optimization problem into a series of convex subproblems. In essence, the primal optimization problem is solved by iterative loop, and at each iteration a convex subproblem is solved by some available convex optimization algorithm. Finally, to further improve the secrecy EE, a SN selection strategy is proposed to activate the SNs with a higher secrecy rate than a threshold to transmit data while the others keep sleeping for energy saving. Simulation results show that, compared with the shortest trajectory, the energy-efficient trajectory obtained by the proposed scheme can achieve a higher secrecy EE.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128479637","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

Downlink Channel Parameter Prediction Based on Stacking Regressor in FDD Massive MIMO Systems 基于堆叠回归量的FDD海量MIMO系统下行信道参数预测

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846399

Yue Li, Zunwen He, Yan Zhang, Wancheng Zhang, L. Guo, Chuanxun Du

{"title":"Downlink Channel Parameter Prediction Based on Stacking Regressor in FDD Massive MIMO Systems","authors":"Yue Li, Zunwen He, Yan Zhang, Wancheng Zhang, L. Guo, Chuanxun Du","doi":"10.1109/icccs55155.2022.9846399","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846399","url":null,"abstract":"Considering massive multiple-input multiple-output (MIMO) applications in the sixth-generation (6G) mobile networks. Due to the different frequency of uplink (UL) and downlink (DL) channels in frequency division duplexing (FDD) systems, the reciprocity between the UL and DL wireless channels is not valid. As a result, pilots are required to be sent both by the base station (BS) and user equipment (UE) for estimating the double-directional channels, which consume more transmission and computational resources. In this paper, we propose a DL channel parameter prediction method based on stacking regressor for FDD massive MIMO systems. It has a second-time prediction process, which uses multiple base regressors prediction results as features and meta-regressor as a model to realize DL parameter prediction. It is able to predict multiple DL parameters including path loss (PL), delay spread (DS), and angular spread. Both the UL channel parameters and environment characteristics are chosen as features to predict DL parameters. Simulation results have shown that the proposed method provides higher prediction accuracy than single base regressors and the 3GPP TR 38.901 channel model.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130863573","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