2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)最新文献_第2页

Performance Analysis of Support Vector Machine-Based Classifier for Spectrum Sensing in Cognitive Radio Networks 认知无线电网络中基于支持向量机的频谱感知分类器性能分析

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00075

S. Jan, Van-Hiep Vu, Insoo Koo

{"title":"Performance Analysis of Support Vector Machine-Based Classifier for Spectrum Sensing in Cognitive Radio Networks","authors":"S. Jan, Van-Hiep Vu, Insoo Koo","doi":"10.1109/CYBERC.2018.00075","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00075","url":null,"abstract":"In this work, the performance of support vector machine (SVM)-based classifier, applied for spectrum sensing in cognitive radio (CR) networks, is analyzed. A single observation given input to classifier is composed of three statistical features extracted from the primary user (PU) sensing signal and residual energy in percent of the secondary user (SU). The trained classifier predicts PU’s presence based on the input signal. The SU starts transmission if PU is predicted absent, otherwise continues sensing other frequency bands. The hypothesis that PU is absent, is further classified in multi classes. The secondary user varies the transmission power based on the output class. This technique increases the quality of service (QoS) due to low interference from SU to PU even if failed to detect. The cross validation technique increases the generalization of classifier. The performance of classifier is examined in terms of accuracy results. The signal-to-noise (SNR) ratio from PU to SU is varied to investigate effect on classifier’s performance. Furthermore, the receiver operating characteristics (ROC) is presented for more evaluation. The parameter ‘area under curve (AUC)’ is given for comparison. The simulation results show the efficiency of proposed features with SVM-based classifier for spectrum sensing in CR applications.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123404800","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: 10

Construction of MeSH-Like Obstetric Knowledge Graph 网状产科知识图谱的构建

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00041

Kunli Zhang, Kaixiang Li, Hongchao Ma, Donghui Yue, Lei Zhuang

{"title":"Construction of MeSH-Like Obstetric Knowledge Graph","authors":"Kunli Zhang, Kaixiang Li, Hongchao Ma, Donghui Yue, Lei Zhuang","doi":"10.1109/CYBERC.2018.00041","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00041","url":null,"abstract":"Obstetric Knowledge Graph describes the obstetric diseases and the body parts, drugs, etc. as well as the relations between them, which is an important knowledge base for intelligent auxiliary diagnosis. In this paper, the hierarchical structure of Medical Subject Headings(MeSH) is taken as the ontology prototype of the Knowledge Graph. According to the naming criterion of Chinese obstetric diseases and the practical application of the disease diagnosis in obstetric electronic medical records. And the ontology structure of obstetric diseases is extended. Moreover, the possible relation categories between obstetric entities and knowledge description system are defined to form the schema layer of Obstetric Knowledge Graph. The obstetric disease attributes of heterogeneous data are derived from medical specifications, classic textbooks, and medical online website by using rules-based and wrapper methods. And then they are fused by the Simhash-TF-IDF algorithm. The relations between entities in the knowledge graph are extracted by combining Bootstrapping and SVM algorithms. Then the Obstetric Knowledge Graph data layer is completed. The schema layer and data layer are automatically imported into Protégé to visualize the Obstetric Knowledge graph. The constructed Obstetric Knowledge Graph contains 625 entities, 2456 attributes and 1407 relations, which covers the most diseases in obstetrics and related entities.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121300551","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

TTVT: A Two-Tier Voronoi Diagram Based Tracking Algorithm in Wireless Sensor Networks 基于两层Voronoi图的无线传感器网络跟踪算法

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00080

Qianqian Ren, Jinbao Li, Beibei Sun

引用次数: 0

Iterative UAV Trajectory Optimization for Physical Layer Secure Mobile Relaying 基于物理层安全移动中继的迭代无人机轨迹优化

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00015

Lingfeng Shen, Ning Wang, X. Mu

{"title":"Iterative UAV Trajectory Optimization for Physical Layer Secure Mobile Relaying","authors":"Lingfeng Shen, Ning Wang, X. Mu","doi":"10.1109/CYBERC.2018.00015","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00015","url":null,"abstract":"With the rapid development and growth of unmanned arial vehicle (UAV) technology and industry, there is increasing research interests in UAV communications. In this work, the mobility and deployment flexibility of UAV is used to provide assistance to terrestrial point-to-point communications. In particular, design of the UAV-enabled mobile relaying system is investigated from the physical layer security perspective to achieve higher overall secrecy capacity. A dynamic channel model that changes with the trajectory is established based on the UAV relay's mobility. By optimizing the UAV's moving trajectory, secrecy capacity of the relay-assisted wireless communication system is maximized. The problem formulated is shown to be non-convex, which is difficult to solve in general. To make the problem tractable, we decompose the original problem and optimize the trajectory to approximate the optimal flight path by optimizing the increments at each trajectory iteration. Simulation results show that the method of finding the optimal trajectory based on the displacement updating iteration is effective and fast converging. When the number of iterations is sufficiently large, the trajectory of the UAV converges, and the optimized trajectory significantly improves the system's secrecy capacity performance. Based on the optimized trajectory, it is investigated through numerical results how the overall secrecy capacity is impacted by the total flight time and the maximum instantaneous UAV speed. It is revealed that higher flight speed is desirable in finding a secure UAV trajectory, and there exists a minimum total flight time to achieve the best average secrecy rate performance","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122394017","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: 15

Rate-Less Codes Aided Cooperation Based on Antenna Selection in Multi-user Massive MIMO System 多用户大规模MIMO系统中基于天线选择的无速率编码辅助合作

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00063

J. Yang, Chunhua Zhu

引用次数: 0

High-Rate Secret Key Generation Method Using Two-Way Random Signal 基于双向随机信号的高速率密钥生成方法

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00017

Shengjun Zhang, Liang Jin, Yangming Lou, Kaizhi Huang, Zhou Zhong

引用次数: 2

Title Page i 第1页

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/cyberc.2018.00001

引用次数: 0

A Cooperative Task Assignment Method of Multi-UAV Based on Self Organizing Map 基于自组织地图的多无人机协同任务分配方法

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00085

Shurong Zhu, Yingzhou Zhang, Yang Gao, Fan Wu

引用次数: 5

Improved Ant Colony Optimization for Ground Robot 3D Path Planning 基于改进蚁群算法的地面机器人三维路径规划

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00030

Lanfei Wang, Jiangming Kan, Jun Guo, Chao Wang

引用次数: 3

Smart Control System Solution for Smart Cities 智慧城市的智能控制系统解决方案

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00027

R. Kodali, Mohamed Azman, Jithu G. Panicker

{"title":"Smart Control System Solution for Smart Cities","authors":"R. Kodali, Mohamed Azman, Jithu G. Panicker","doi":"10.1109/CYBERC.2018.00027","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00027","url":null,"abstract":"Home or Office Automation may be described as a system to provide ease of operation of connected devices or appliances. Most commercial environments, during active hours, consume large amounts of energy resources; this could be optimized to the minimum by smartly monitoring and managing the resources. IoT (Internet of Things) enables this to be a possible solution at reasonable cost factors. However, it is important to note that in commercial environments, security is a key factor; corporations cannot depend on opening up their networks to the outside world in order to avail the services offered by currently available smart-devices. Localizing and privatizing the entire automation and control system would be desirable for such domains. The work presented in this paper proposes a solution for such applications which is crucial for the development of Smart Cities as a whole along with Smart Homes. One of the simplest tasks is to switch a light source, HVAC systems or any other electrical equipment on or off, by being physically present in the premises, remotely or automatically based on time or a sensor's reading. Furthermore, the intensity of the light source, the temperature of the HVAC systems and such parameters could also be varied. Development of technology in the field has enabled the production of cheap and small-sized computers like Raspberry Pi which are also known as Single Board Computers (SBC). The prototype designed is equipped with a secure local MQTT link for communication between the control and automation system and the Edge Devices. Additionally, it is equipped with a speech recognition system to give the users a much more intuitive and natural mean to communicate with and control the connected devices.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128092634","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: 7