2019 IEEE 5th International Conference on Computer and Communications (ICCC)最新文献_第9页

Weighted Based Trustworthiness Ranking in Social Internet of Things by using Soft Set Theory 基于软集理论的社交物联网可信度加权排序

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI: 10.1109/ICCC47050.2019.9064242

Ateeq ur Rehman, Aimin Jiang, Aziz Ur Rehman, Anand Paul

{"title":"Weighted Based Trustworthiness Ranking in Social Internet of Things by using Soft Set Theory","authors":"Ateeq ur Rehman, Aimin Jiang, Aziz Ur Rehman, Anand Paul","doi":"10.1109/ICCC47050.2019.9064242","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064242","url":null,"abstract":"Internet of Things (IoT) is an evolving research area for the last two decades. The integration of the IoT and social networking concept results in developing an interdisciplinary research area called the Social Internet of Things (SIoT). The SIoT is dominant over the traditional IoT because of its structure, implementation, and operational manageability. In the SIoT, devices interact with each other independently to establish a social relationship for collective goals. To establish trustworthy relationships among the devices significantly improves the interaction in the SIoT and mitigates the phenomenon of risk. The problem is to choose a trustworthy node who is most suitable according to the choice parameters of the node. The best-selected node by one node is not necessarily the most suitable node for other nodes, as the trustworthiness of the node is independent for everyone. We employ some theoretical characterization of the soft-set theory to deal with this kind of decision-making problem. In this paper, we developed a weighted based trustworthiness ranking model by using soft set theory to evaluate the trustworthiness in the SIoT. The purpose of the proposed research is to reduce the risk of fraudulent transactions by identifying the most trusted nodes.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"16 1","pages":"1644-1648"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81129429","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: 23

Clustering Structure Based Time Switching Power Control optimization for Energy Harvesting Ad-Hoc Networks 基于聚类结构的能量收集Ad-Hoc网络时间开关功率控制优化

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI: 10.1109/ICCC47050.2019.9064252

Shiyu Gao, Jianguo Yu, Weizhi Zhu, Kun Bi, Lanlan Zhou

{"title":"Clustering Structure Based Time Switching Power Control optimization for Energy Harvesting Ad-Hoc Networks","authors":"Shiyu Gao, Jianguo Yu, Weizhi Zhu, Kun Bi, Lanlan Zhou","doi":"10.1109/ICCC47050.2019.9064252","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064252","url":null,"abstract":"Energy harvesting technology provides neoteric possibilities for prolonging the service life of mobile nodes in Ad-Hoc networks. In this paper, we focus on using energy harvesting technology in clustering structure based Ad-Hoc networks to decrease the system total power consumption as well as prolong the lifetime of the cluster. Distinct from the way in which a base station transmits energy to multiple mobile nodes in a general wireless network, we propose a scheme that the process of energy harvesting occurs at the cluster head which is able to receive information and harvest energy from dedicated subcarriers sent by the cluster members so as to alleviate burdens on its battery. We split the communication slot into two parts, energy transmission and information transmission, and formulate an optimization problem to obtain its optimal time switching ratio which will determine the power of each subcarrier and affect the energy consumption performance of the networks. Simulation results show that our proposed scheme can substantially reduce system power consumption and prolong the cluster’s lifetime under different channel conditions, numerical analysis also proves that it is feasible to expand the capacity of cluster with less cost.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"105 1","pages":"1080-1085"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89529642","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

Effectiveness of Visual Features on Diverse Reading Orders for Information Extraction 不同阅读顺序的视觉特征对信息提取的有效性

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI: 10.1109/ICCC47050.2019.9064294

S. Bhat, D. Adiga, M. Shah, Viveka Vyeth

引用次数: 0

Acoustic Signal-based Leak Size Estimation for Electric Valves Using Deep Belief Network 基于声信号的电动阀门泄漏尺寸深度置信网络估计

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI: 10.1109/ICCC47050.2019.9064354

A. Ayodeji, Yong-kuo Liu, Wen Zhou, Xin-qiu Zhou

{"title":"Acoustic Signal-based Leak Size Estimation for Electric Valves Using Deep Belief Network","authors":"A. Ayodeji, Yong-kuo Liu, Wen Zhou, Xin-qiu Zhou","doi":"10.1109/ICCC47050.2019.9064354","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064354","url":null,"abstract":"To achieve the balance of plant, industrial valves are extensively used for critical safety and control functions. Conventionally, the threshold and the visual observation method are used for valve health monitoring. However, these methods are slow. This study presents a systematic application of deep belief network (DBN) for fault size estimation in the DN50 electric gate valve. First, real acoustic signals representing the malfunctions are acquired. Secondly, the influence of the transmission path and background noise from other equipment are decoupled, using wavelet packet decomposition and reconstruction. Finally, three different DBN models are developed for valve internal leakage assessment, using the original signals, time-domain parameters and the decomposed wavelet packets. Evaluation results show that the model trained with the time-domain signals achieve the optimal result. The model also shows the capability to automatically extract the deep features from the signal, escaping the dependence on the conventional signal processing method and reducing the signal processing time. The application of DBN for size estimation also solves the slow convergence problems in the conventional multi-layer, backpropagation neural networks.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"4 3 1","pages":"948-954"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89690413","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

A New Deep Learning Architecture for Person Detection 一种新的深度学习人体检测体系结构

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI: 10.1109/ICCC47050.2019.9064172

Liang Zhao, Y. Wan

引用次数: 7

Dynamic Vehicle Data Gathering via Deep Reinforcement Learning Approach 基于深度强化学习方法的动态车辆数据采集

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI: 10.1109/ICCC47050.2019.9064339

Jun Li, Zhichao Xing, Sha Wei, Yuwen Qian, Weibin Zhang

引用次数: 0

Secure Transmission with a Cooperative UAV-enabled Jammer 使用协作式无人机干扰机进行安全传输

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI: 10.1109/ICCC47050.2019.9064333

Yang Chen, Zhong-pei Zhang, Binrui Li

引用次数: 1

Revisiting Link Quality Metrics for Wireless Sensor Networks 重新审视无线传感器网络的链路质量度量

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI: 10.1109/ICCC47050.2019.9064098

Wei Liu, Yu Xia, Jinwei Xu, Shunren Hu, Rong Luo

{"title":"Revisiting Link Quality Metrics for Wireless Sensor Networks","authors":"Wei Liu, Yu Xia, Jinwei Xu, Shunren Hu, Rong Luo","doi":"10.1109/ICCC47050.2019.9064098","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064098","url":null,"abstract":"Packet Reception Ratio (PRR), Received Signal Strength Indicator (RSSI) and Link Quality Indicator (LQI) are common metrics for link quality estimation. However, utilization and statistical methods of these metrics are different, so it fails to describe their link quality estimation capabilities systematically and deeply. Some works even came to contradicting conclusions. In this paper, these three metrics are comprehensively evaluated through collecting and analyzing large amounts of experimental data. It is shown that average PRR could be used to distinguish good links from bad links. Standard deviation of PRR could be used to identify moderate links. So, good links, moderate links and bad links are able to be distinguished more effectively and accurately by combining average value and standard deviation of PRR. Both average RSSI and LQI could be used to identify good links. However, they could not distinguish moderate and bad links. Standard deviation of RSSI doesn’t have link quality estimation capability, and so does the standard deviation of LQI within fixed time windows. Unlike them, standard deviation of LQI with fixed number of received packets could be used to identify good links, but still not moderate and bad links.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"9 1","pages":"597-603"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86568818","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 Multi-target Tracking Algorithm Based on AGMM-PHD 基于AGMM-PHD的多目标跟踪算法

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI: 10.1109/ICCC47050.2019.9064290

Linxi Wang, Xiaoxi Hu, Xun Han, Yin Kuang, Xinquan Yang

引用次数: 0

Language Constructs and Semantics for Runtime-independent Parallelism Expression on Heterogeneous Systems 异构系统运行无关并行表达的语言结构和语义

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI: 10.1109/ICCC47050.2019.9064451

Shusen Wu, Xiaoshe Dong, Yufei Wang, Weiduo Chen

{"title":"Language Constructs and Semantics for Runtime-independent Parallelism Expression on Heterogeneous Systems","authors":"Shusen Wu, Xiaoshe Dong, Yufei Wang, Weiduo Chen","doi":"10.1109/ICCC47050.2019.9064451","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064451","url":null,"abstract":"The emergence of heterogeneous processors such as GPUs provide massively parallel computing power but also exacerbate the difficulties of parallel programming. Although low-level programming methods such as CUDA and OpenCL can yield good performance, the programming productivity is poor and applications lack portability. In this paper, we present a core language Ruler, which extends C with high-level parallel constructs. These constructs enable programmers to express parallelism in programs without concerning runtime details, thus ease user programming. We present the operational semantics of the language and show how these constructs reserve parallel patterns and parallelism degree of high-level applications. Those information could inform the compiler to generate efficient code and maintain the performance on different platforms. We have implemented a compiler and runtime system for Ruler on the top of OpenCL. Multiple benchmarks are rebuilt with Ruler and evaluated on both a NVIDIA GPU and an Intel MIC platform to demonstrate the effectiveness of our techniques. The size of Ruler code is only 13%-64% to that of the OpenCL code. The rebuilt benchmarks execute smoothly on both platforms after compilation, yielding a competitive performance to that of handcrafted benchmark OpenCL code on both platforms.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"127 1","pages":"1269-1275"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89097391","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