2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)最新文献_第5页

Research on Joint Mode Selection and Resource Allocation Scheme in D2D Networks D2D网络中联合模式选择与资源分配方案研究

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00083

Jiale Zhao, Shuangzhi Li, Daniel C. F. Ma, X. Mu

引用次数: 4

Multi-UAV Task Allocation Based on Improved Algorithm of Multi-objective Particle Swarm Optimization 基于改进多目标粒子群优化算法的多无人机任务分配

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00086

Yang Gao, Yingzhou Zhang, Shurong Zhu, Yi Sun

{"title":"Multi-UAV Task Allocation Based on Improved Algorithm of Multi-objective Particle Swarm Optimization","authors":"Yang Gao, Yingzhou Zhang, Shurong Zhu, Yi Sun","doi":"10.1109/CYBERC.2018.00086","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00086","url":null,"abstract":"With the development of the technology of unmanned aerial vehicle (UAV), the multi-UAV task allocation has become a hot topic in recent years. Recently, many classical intelligent optimization algorithms have been applied to this problem, because the multi-UAV task allocation problem can be formalized as a NP-hard issue. However, most research treat this problem as a single objective optimization problem. In view of this situation, we use an improved algorithm of multi-objective particle swarm optimization (MOPSO) to solve the task allocation problem of multiple UAVs. We will take two stages of SMC resampling to improve the disadvantages in the MOPSO algorithm. In the first stage, resampling is used to improve the slow convergence of the particle swarm optimization in the middle and late stages. In the second stage, resampling is used to expand the search area of the particle swarm optimization algorithm and to prevent the algorithm from falling into the local optimal solution. The simulation results show that the improved algorithm has a good performance in solving the task allocation problem of multiple UAVs.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"23 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":"125680957","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

Evaluating and Detecting Internal Attacks in a Mobile Robotic Network 移动机器人网络内部攻击评估与检测

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00102

E. Basan, A. Basan, O. Makarevich

引用次数: 9

A Hybrid of Deep Sentence Representation and Local Feature Representation Model for Question Answer Selection 基于深度句子表示和局部特征表示的混合问答选择模型

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00057

Dongge Tang, Wenge Rong, Libin Shi, Haodong Yang, Zhang Xiong

引用次数: 1

Prior-Information Associated Channel Parameter Estimation for Aeronautical Communications 航空通信的先验信息关联信道参数估计

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00078

Youyou Zhao, Xingxuan Zuo, Yingbo Shang, X. Mu, Jiankang Zhang

引用次数: 2

A Field Intensity Based Model for Initiative File Sharing in Mobile Social Networks 移动社交网络中基于场强的主动文件共享模型

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00048

Zehong Zhou, Chenxi Zhang, Zhenyu A. Liao, Jian Xu, Jiangfeng Li

{"title":"A Field Intensity Based Model for Initiative File Sharing in Mobile Social Networks","authors":"Zehong Zhou, Chenxi Zhang, Zhenyu A. Liao, Jian Xu, Jiangfeng Li","doi":"10.1109/CYBERC.2018.00048","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00048","url":null,"abstract":"An intermittently connected mobile social network (ICMSN) is a special kind of delay tolerant network (DTN). Compared with the stable routing path in conventional networks, there is not a stable routing path from source to destination in ICMSNs. In order to deal with the challenging routing issue in ICMSNs, numerous opportunistic routing algorithms have been proposed. However, the existed approaches cannot achieve the optimal performance in file sharing because most of them focus on the general routing but ignore the social characteristic. In addition, the needed resources passively waited until a request has been received by the nodes in the traditional file sharing schemes. In this paper, a field intensity based model is proposed to solve the passive file sharing problem in ICMSNs. This model exploits the field intensity generated from the inherent features of mobile users to decide a better orientation for messages forwarding. Furthermore, a container which be used to store the information of field is designed to reduce overhead. We also propose a field intensity based redundancy control strategy to maintain the number of copies within a reasonable range. Finally, we realize a initiative file sharing system according to the model. The simulation results show that our method has advantages in performance against other methods.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"23 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":"125293112","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

Mesh Generation Technique and Object Identification for Robotic/Artificial Intelligence 机器人/人工智能的网格生成技术和目标识别

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00093

Mahesh Singh

{"title":"Mesh Generation Technique and Object Identification for Robotic/Artificial Intelligence","authors":"Mahesh Singh","doi":"10.1109/CYBERC.2018.00093","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00093","url":null,"abstract":"This technique of mesh generation is based on advance and researched quad tree approach which makes use of mathematical technique of variance for selecting quad size and further triangulate the quad for final mesh of image and later filtering of vertices is done as per mapping based on robotic model. Object identification based on Bayesian statistical and probability theorem is used to estimate the foreground object for getting selective object within image for mesh generation. This paper explains estimation algorithms for object identification by detecting background and foreground objects in image obtained from raw video frame@30fps supporting sampling format 4:2:0. This algorithm is implemented tested/verified on and written for android based ARM system and x86 for demo and quality propose.Video frame is live captured in .mp4 file format using aac/avc (H264) audio and video codec. Video is decoded and sub sampled and scaled using ffmeg framework to desired frame size and frame format for Video processing using Open source based framework integrated into propriety applications. This algorithm can be applied for various application including application in defense/artificial intelligence and medical imaging","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"27 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":"129973611","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

Users Scheduling and Power Allocation Algorithm for MIMO-OFDMA Green Cognitive Radio Systems MIMO-OFDMA绿色认知无线电系统的用户调度与功率分配算法

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00070

N. S. A. G. Yari, Varus Mbembo Loundou, Dong Doan Van

{"title":"Users Scheduling and Power Allocation Algorithm for MIMO-OFDMA Green Cognitive Radio Systems","authors":"N. S. A. G. Yari, Varus Mbembo Loundou, Dong Doan Van","doi":"10.1109/CYBERC.2018.00070","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00070","url":null,"abstract":"With growing of wireless systems integration, the role that plays green communication platforms are becoming more essential for reducing energy consumption. By proposing a based sub-optimal green energy-efficient algorithm to solve issue of low computational, this paper investigates the effect of users scheduling and power allocation scheme for MIMO-OFDMA green cognitive radio network The problem is formulated as a mixed-integer non-convex optimization problem, in which the objective is to maximize the energy efficiency, enabling Green Communication, under the constraints of the per-user power budget and primary system’s QoS requirements. Taking account of the mixed-integer and non-convexity nature of the problem, we propose a sub-optimal energy-efficient algorithm through two successive steps. The first step schedules the subcarriers among the SUs based on IA while the second step iteratively allocates the power based on Dinkelbach’s method. Through numerical result, the proposed algorithm is revealed to achieve significant improvement in the energy efficiency compared to the traditional spectrum-efficient algorithm.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"34 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":"130177607","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

Interpolation Method for Radio Map Establishment Based on RSS Clustering and Propagation Model Optimization 基于RSS聚类和传播模型优化的射电图建立插值方法

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00087

Yongliang Sun, Yu He, Yang Yang

引用次数: 2

An Abnormal State Detection Method for Power Distribution Network Based on Big Data Technology 基于大数据技术的配电网异常状态检测方法

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00042

Lijuan Hu, Ke-yan Liu, Zhi Lin, Yinglong Diao, W. Sheng

引用次数: 3