2020 IEEE 6th International Conference on Computer and Communications (ICCC)最新文献_第6页

AOA-Assisted Fingerprint Localization for Cell-Free Massive MIMO System Based on 3D Multipath Channel Model 基于三维多径信道模型的aoa辅助无小区大规模MIMO系统指纹定位

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345306

Chengjian Liao, Kui Xu, Xiaochen Xia, Wei Xie, Meng Wang

{"title":"AOA-Assisted Fingerprint Localization for Cell-Free Massive MIMO System Based on 3D Multipath Channel Model","authors":"Chengjian Liao, Kui Xu, Xiaochen Xia, Wei Xie, Meng Wang","doi":"10.1109/ICCC51575.2020.9345306","DOIUrl":"https://doi.org/10.1109/ICCC51575.2020.9345306","url":null,"abstract":"In this paper, an angle of arrival (AOA) assisted fingerprint localization technology based on three-dimensional (3D) multipath channel model is proposed for cell-free massive multiple-input multiple-output (MIMO) system. Firstly, according to the channel characteristics of cell-free massive MIMO system, a 3D narrowband multipath channel model is constructed. In the offline phase, the AOA information from different access points (APs) to users is utilized to construct the angular domain power matrix, which is used as fingerprint information. Angular similarity coefficient is proposed to measure the similarity between different reference points. In the online phase, we use the angular similarity coefficient weight (ASCW) algorithm to obtain the estimated localization of the user. The simulation results show that properly increasing the number of antennas and reducing the sampling interval can improve the localization accuracy. Finally, the effect of 3D multipath channel on fingerprint localization performance is analyzed compared with two-dimensional (2D) channel, as well as other received signal strength (RSS) localization algorithms.","PeriodicalId":386048,"journal":{"name":"2020 IEEE 6th International Conference on Computer and Communications (ICCC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126194394","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

Design of a Space-borne Multifunctional Reconfigurable Terminal 星载多功能可重构终端的设计

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345187

Zhanchun Fan, Hairan Shi, Shiling Dong, Lu Zhang, Cuilian Wang, Yuhang Wu

引用次数: 0

Clock Drawing Test Evaluation via Object Detection for Automatic Cognitive Impairment Diagnosis 基于目标检测的时钟绘制测试评估在自动认知障碍诊断中的应用

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345030

Xinyu Feng, Qiaosha Zou, Yiyun Zhang, Yan-min Tang, Jing Ding, Xin Wang

{"title":"Clock Drawing Test Evaluation via Object Detection for Automatic Cognitive Impairment Diagnosis","authors":"Xinyu Feng, Qiaosha Zou, Yiyun Zhang, Yan-min Tang, Jing Ding, Xin Wang","doi":"10.1109/ICCC51575.2020.9345030","DOIUrl":"https://doi.org/10.1109/ICCC51575.2020.9345030","url":null,"abstract":"Dementia refers to a group of syndromes with cognitive impairment as the main clinical manifestation. Amongst various neuropsychological tests for clinical diagnosis of dementia, the clock drawing test (CDT) is frequently used due to its simplicity and effectiveness. In order to extricate physicians from their involvement in CDT scoring, we propose an automatic scoring method via object detection for accurate and efficient dementia screening. Given the drawn clock picture by a testee, this end-to-end method for CDT scoring directly produces the final score without any human interventions. Moreover, the proposed method can handle two ways of data acquisition scanned data set which contains the scanned version of drawn clocks and camera data set which consists of the drawn clocks taken from normal cameras. Extensive experimental results demonstrate the validity and feasibility of the proposed method. Specifically, the precision of the scanned dataset scored by a seven-point method and the camera dataset by a three-point method is 94.64% and 92.36% respectively, while that of junior outpatient physicians is 92.03% within the camera dataset.","PeriodicalId":386048,"journal":{"name":"2020 IEEE 6th International Conference on Computer and Communications (ICCC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124999055","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

Classification of COVID-19 from Chest X-ray images using Deep Convolutional Neural Network 基于深度卷积神经网络的胸部x线图像COVID-19分类

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9344870

S. Asif, Wenhui Yi, Hou Jin, Jinhai Si

引用次数: 140

A Cluster Based Data Transmission Scheme for Distributed Photovoltaic Systems 分布式光伏系统中基于集群的数据传输方案

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI: 10.1109/iccc51575.2020.9345242

Dongyu Yuan, Feng Yan, Wen Wang, Lei Fang, Weiwei Xia, Lianfeng Shen

{"title":"A Cluster Based Data Transmission Scheme for Distributed Photovoltaic Systems","authors":"Dongyu Yuan, Feng Yan, Wen Wang, Lei Fang, Weiwei Xia, Lianfeng Shen","doi":"10.1109/iccc51575.2020.9345242","DOIUrl":"https://doi.org/10.1109/iccc51575.2020.9345242","url":null,"abstract":"Since the prosperity of the photovoltaic power generation industry, how to reduce the cost of a matched operation and maintenance system has become a hot topic. In this paper, a cluster based data transmission scheme is proposed in order to reduce the overall energy consumption and traffic cost of the system. In the clustering strategy, a cluster head (inverter) is selected according to the distance to the smart sub station. For each neighbor node of the cluster head, it will join in the cluster if data transmission will consume less energy through the cluster head. The process will be iteratively run until all nodes have been clustered. We adopt an energy consumption model and traffic cost models of China Mobile and China Telecom to evaluate the performance of the proposed scheme. Simulation results show that traffic cost can be greatly reduced by using different data packages. The utmost reduction achieves over 75%. The energy consumption can be reduced about 15%, and it is affected by various factors including the density of the inverters and the values of parameters.","PeriodicalId":386048,"journal":{"name":"2020 IEEE 6th International Conference on Computer and Communications (ICCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128445124","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 Monocular Motion Estimation Algorithm Based on Region Separation 一种基于区域分离的单目运动估计算法

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345132

Mingcan Li, Yongxing Jia, Fenghui Xu, Ying Zhu, Chuanzhen Rong

{"title":"A Monocular Motion Estimation Algorithm Based on Region Separation","authors":"Mingcan Li, Yongxing Jia, Fenghui Xu, Ying Zhu, Chuanzhen Rong","doi":"10.1109/ICCC51575.2020.9345132","DOIUrl":"https://doi.org/10.1109/ICCC51575.2020.9345132","url":null,"abstract":"The offset of feature points is one of the main reasons for the inaccuracy of the monocular Simultaneous Localization and Mapping Eight-Point Algorithm. In order to overcome the problems of high iteration times and insufficient score in global sampling estimation of fundamental matrix, this paper proposes an improved algorithm for monocular motion estimation. On the basis of ORB-SLAM, a method of clustering and segmenting images is introduced into the Frontend. Firstly, after eliminating mismatches, the Density-Based Spatial Clustering of Applications with Noise algorithm is used to separate the feature points of two images into a number of small regions. Then, according to the size of intra cluster divergence, the small regions are sorted and relabeled. Finally, with our multi regional extraction strategy, the feature points in different regions are selected for Eight-Point Algorithm and the matching degree of the estimated results to all the feature points is detected, with the highest score to be best estimation result. By comparing with the RANSAC method of ORB-SLAM, it is concluded that our proposed algorithm improves the accuracy of motion estimation and reduces the average estimation time of fundamental matrix based on TUM dataset.","PeriodicalId":386048,"journal":{"name":"2020 IEEE 6th International Conference on Computer and Communications (ICCC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831214","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

Scheduling and Relay Selection for Full-Duplex Wireless Powered Cooperative Communication Networks 全双工无线供电协作通信网络的调度与中继选择

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345137

M. S. Iqbal, Syed Adil Abbas Kazmi, Yalçin Sadi, S. Coleri

{"title":"Scheduling and Relay Selection for Full-Duplex Wireless Powered Cooperative Communication Networks","authors":"M. S. Iqbal, Syed Adil Abbas Kazmi, Yalçin Sadi, S. Coleri","doi":"10.1109/ICCC51575.2020.9345137","DOIUrl":"https://doi.org/10.1109/ICCC51575.2020.9345137","url":null,"abstract":"In this manuscript, we consider a full-duplex wireless powered cooperative communication system where the users communicate with a hybrid access point through relays. We formulate an optimization problem with the objective to minimize the total transmission time through user scheduling and relay selection while considering the traffic demand, energy causality and initial battery levels of the users. The formulated optimization problem is a mixed integer non-linear programming problem, hence difficult to solve for the global optimal solution. As a solution strategy, we decompose the problem into sub problems: time allocation, scheduling and relay selection. In the time allocation problem; the schedule and relays are assumed to be pre-known, we derive the optimal solution by using the optimality analysis. For the scheduling problem; we assume that users know their relays, we determine the optimal schedule. For the relay selection problem; users transmit their information in a pre-determined order, we determine the optimal relays for each user. For the overall scheduling and relay selection problem, we propose a heuristic algorithm which iteratively determines the scheduling and relay selection in polynomial time by using the optimal solutions of the individual relay selection and scheduling problems. Through simulations, we demonstrate that the scheduling length can be significantly reduced through proper scheduling and relay selection. The proposed algorithm performs very close to the optimal solution for different maximum user transmit power, network densities, initial battery levels and hybrid access point power levels.","PeriodicalId":386048,"journal":{"name":"2020 IEEE 6th International Conference on Computer and Communications (ICCC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127123146","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: 2

A Sport Athlete Object Tracking Based on Deep Sort and Yolo V4 in Case of Camera Movement 摄像机运动情况下基于深度排序和Yolo V4的运动员目标跟踪

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345010

Yao Zhang, Zhiyong Chen, Bohan Wei

引用次数: 13

Preprocessing of Massive Flight Data Based on Noise and Dimension Reduction 基于噪声和降维的海量飞行数据预处理

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345080

Qingshan Xu, Jie Chen, Boying Wu

引用次数: 0

Research on a Distributed Approach for Large-scale Image Retrieval based on Location-sensitive Hashing 基于位置敏感哈希的分布式大规模图像检索方法研究

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345175

T. Zhang, Songyang Wu, Xun Li, Juan Wang

{"title":"Research on a Distributed Approach for Large-scale Image Retrieval based on Location-sensitive Hashing","authors":"T. Zhang, Songyang Wu, Xun Li, Juan Wang","doi":"10.1109/ICCC51575.2020.9345175","DOIUrl":"https://doi.org/10.1109/ICCC51575.2020.9345175","url":null,"abstract":"With the rapid development of network and multimedia technologies, a large number of image databases have been produced, and image data has been experiencing an exponential growth. Meanwhile, the requirement for searching images, i.e. image retrieval in large databases is a hot issue. Many traditional methods search for images accurately according to the feature vector of the image, but this method is computationally expensive. The most famous improved solution is the Locality Sensitive Hashing (LSH, Locality Sensitive Hashing) method which sacrifices some search accuracy to improve efficiency. However, most of the current LSH methods are difficult to handle large-scale data. Therefore, in this paper we design and implement a distributed image retrieval approach based on LSH. The hash value of an image is used to filter out a batch of completely irrelevant pictures, and then the distributed computing resources are utilized to find similar pictures. Experimental results show that the accuracy rate and recall rate could reach about 90%, at the same time the retrieval speed is acceptable, about 120 ms for each retrieval on average.","PeriodicalId":386048,"journal":{"name":"2020 IEEE 6th International Conference on Computer and Communications (ICCC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130133421","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