2020 5th International Conference on Computer and Communication Systems (ICCCS)最新文献_第4页

Design of LED Lighting System Based on Power line Communication 基于电力线通信的LED照明系统设计

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118591

Wen Xiao, Liang Bo, Ramanpreet Kaur

引用次数: 1

Evaluation of Image Feature Detection and Matching Algorithms 评价图像特征检测与匹配算法

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118480

Yiwen Ou, Zhiming Cai, Jian Lu, Jian Dong, Yufeng Ling

引用次数: 1

Reinforcement Learning for Resource Mapping in 5G Network Slicing 5G网络切片中资源映射的强化学习

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118446

Liyuan Zhao, Li Li

{"title":"Reinforcement Learning for Resource Mapping in 5G Network Slicing","authors":"Liyuan Zhao, Li Li","doi":"10.1109/ICCCS49078.2020.9118446","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118446","url":null,"abstract":"In the era of 5G, network slicing is considered to be an effective solution for flexible network deployment and diversified services. It based on network virtualization technology to divide into multiple end-to-end virtual networks on the substrate physical network and in the form of services to meet the user that has customized appeal to network resource. This paper proposes a reinforcement learning algorithm based on collaborative relationship between node mapping and link mapping(RLCO). In the node mapping stage, we apply the policy network to calculate the probability of the physical node mapping to a virtual node. In the link mapping stage, we apply the Dijkstra algorithm. After the success of node and link mapping, the algorithm evaluates the mapping results respectively, and on this basis, defines the reward function of the RLCO algorithm. The difference characteristics of node and link are introduced into the reward function. The RLCO algorithm based on this reward function can make the result of network slicing mapping reach the global optimal. Furthermore, we compare the RLCO algorithm with the other three algorithms. The results show that the RLCO algorithm is superior to other three algorithms in terms of the acceptance rate of network slice requests and the long-term earning/cost ratio.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132436152","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: 6

Research on Interactive Collaborative Decision-Making Method of Equipment Support Task Planning 装备保障任务规划交互式协同决策方法研究

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118468

Peng Pengfei, Liu Yating, Zhou Linru

引用次数: 1

Miniaturized High-Efficiency Pulsed-Power Amplifier for Surveillance and Tracking Radar 用于监视和跟踪雷达的小型化高效脉冲功率放大器

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118457

Hamid Dhanyal, Wei-dong Hu, Hassan Feroz, H. Nawaz, Abdul Samad, Umar Farooq

引用次数: 0

Dispersion Compensation by Using FBG and Low Pass Gaussian Filter 利用光纤光栅和低通高斯滤波器进行色散补偿

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118555

A. A. Dahir, Zhihua Yu

引用次数: 4

Real-Time Disaster Information Providing System for Inducing Risk Perception 诱导风险感知的实时灾害信息提供系统

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118604

Takuya Kondo, O. Uchida

引用次数: 0

Predictive Analysis of Heterogeneous Data – Techniques & Tools 异构数据的预测分析-技术与工具

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118578

Jayshree Ghorpade, B. Sonkamble

引用次数: 1

Improved Silence-Unvoiced-Voiced (SUV) Segmentation for Dysarthric Speech Signals using Linear Prediction Error Variance 基于线性预测误差方差的难发音语音信号的改进静-静音-浊音分割

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118462

T. Ijitona, Hong Yue, J. Soraghan, A. Lowit

{"title":"Improved Silence-Unvoiced-Voiced (SUV) Segmentation for Dysarthric Speech Signals using Linear Prediction Error Variance","authors":"T. Ijitona, Hong Yue, J. Soraghan, A. Lowit","doi":"10.1109/ICCCS49078.2020.9118462","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118462","url":null,"abstract":"A novel algorithm for the segmentation of dysarthric speech into silence, unvoiced and voiced (SUV) segments is presented. The proposed algorithm is based on the combination of short-time energy (STE), zero-crossing rate (ZCR) and linear prediction error variance (LPEV) or the segmentation problem. Extending the previous work in this field, the proposed method will address the difficulties in distinguishing between voiced and unvoiced segments in dysarthric speech. More precisely, the error variance of the linear prediction coefficients will be used to design a three-fold decision matrix that can accommodate the high variability in loudness experienced in dysarthric speech. In addition, a moving average threshold approach will be proposed in order to provide an “as-fit” segmentation technique that is fully automated and that will be able to handle highly severe dysarthric speech with varying loudness and ZCRs. The ability of the proposed fully-automated algorithm will be validated using real speech samples from healthy speakers, and speakers with ataxic dysarthria. The results of the proposed approach are compared with known methods using STE and ZCR. It is observed that the proposed classification method does not only show an improvement in segmentation performance but also provides consistent results in low signal energy situations.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126330873","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: 4

Automatic Knowledge Graph Construction Based on Relational Data of Power Terminal Equipment 基于关系数据的电力终端设备知识图谱自动构建

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118512

Zheng Su, Mukai Hao, Qiang Zhang, Bo Chai, Ting Zhao

{"title":"Automatic Knowledge Graph Construction Based on Relational Data of Power Terminal Equipment","authors":"Zheng Su, Mukai Hao, Qiang Zhang, Bo Chai, Ting Zhao","doi":"10.1109/ICCCS49078.2020.9118512","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118512","url":null,"abstract":"In the last years, Knowledge Graph (KG) has been widely applied in domain knowledge modeling, and therefore has received more attention in the Ubiquitous Power Internet of Things (UPIoT) that consists of a large number of power terminal equipment and sensing devices. In this paper, we propose an automatic framework to construct power terminal equipment knowledge graph by extracting ontological information and instantiating objects from the relational data of power terminal equipment. First, the ontological concepts and the hierarchy between concepts are built by analyzing the data schemas of different types of devices and their properties. Then the knowledge graph for different types of device objects is constructed by instantiating every object and their binary relations. In addition, we give the relevant algorithms of automatically constructing the complete knowledge graph of power terminal equipment. We argue that the proposed approach will greatly facilitate the information sharing of multi-source heterogeneous data of power terminal equipment on the environment of UPIoT.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122332440","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