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

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Improved Strategies of LEACH-based Low Energy Consumption and High Reliable Multi-hop Routing Algorithm for Wireless Sensor Network 基于leach的无线传感器网络低能耗高可靠多跳路由算法改进策略
Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345136
Lubin Guo, Jiayan Liu, Peng Qin, Xiongwen Zhao, Huiyuan Ma, Zhongjun Chi
LEACH (Low Energy Adaptive Clustering Hierarchy) is one of the pioneer clustering routing algorithm, the idea of clustering proposed by which provides a good reference for the design of routing algorithm for wireless sensor network. In LEACH algorithm, the selection of cluster head ignores the consideration of node energy, which may lead to the death of cluster head and this will case the failure of data transmitted to sink. Besides, cluster head direct communication with the base station limits the expansion of the network scale. In response to these shortcomings, three strategies to improve the performance of LEACH-based algorithm are discussed in this paper, based on which we propose a low energy consumption high reliable multi-hop routing algorithm LEACH-MB. By improving the selection of cluster heads, introducing a mechanism of backup cluster head and adopting the approach of cluster head multi-hop, the performance of this new algorithm has been significantly improved compared to LEACH. Through the simulation analysis of the algorithm, we can find that this algorithm can prolong the network lifetime and improve the reliability of data transmission, and get a result of throughput increase.
LEACH (Low Energy Adaptive Clustering Hierarchy)是最早的聚类路由算法之一,其提出的聚类思想为无线传感器网络路由算法的设计提供了很好的参考。在LEACH算法中,簇头的选择忽略了对节点能量的考虑,这可能导致簇头死亡,从而导致数据传输到sink失败。此外,集群头与基站直接通信限制了网络规模的扩展。针对这些不足,本文讨论了提高基于leach算法性能的三种策略,在此基础上提出了一种低能耗、高可靠的多跳路由算法LEACH-MB。通过改进簇头选择、引入簇头备份机制和采用簇头多跳方法,该算法的性能比LEACH算法有了明显提高。通过对该算法的仿真分析,可以发现该算法可以延长网络寿命,提高数据传输的可靠性,并获得吞吐量增加的结果。
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引用次数: 3
Trust Management of Mobile Users P2P Nodes Based on Blockchain 基于区块链的移动用户P2P节点信任管理
Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345097
Xiang Wu, Hao Wu
Mobile users need to consider the credibility of nodes to ensure their privacy when building a P2P network. Therefore, how to perform node trust management is an urgent problem to be solved. This paper proposes a trust management method that combines incentive mechanisms and punishment measures, introduces time-sensitive functions, integrates hash chains, and builds a mobile user trust evaluation model.
移动用户在构建P2P网络时,需要考虑节点的可信度,以保证自己的隐私。因此,如何进行节点信任管理是一个亟待解决的问题。本文提出了一种激励机制与惩罚措施相结合的信任管理方法,引入时敏函数,集成哈希链,构建移动用户信任评估模型。
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引用次数: 0
Competitive Self-Organizing Neural Network Based UAV Path Planning 基于竞争自组织神经网络的无人机路径规划
Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9344904
Mingsheng Gao, Pengfei Wei, Yuxiang Liu
Path planning is the fundamental aspect of applications for autonomous Unmanned Aerial Vehicles (UAVs) system. It allows UAV to find an optimal path relevant to some specific missions within limited time, especially in large sized scenarios. In this paper, a novel competitive self-organizing neural network algorithm is proposed to improve the search ability and speed up the convergence of traditional algorithms. More specifically, in the initialization phase, a new opposition-based learning is adopted to generate better neurons. Next, a secondary competitive layer is added above the hidden layer, thus enhancing accuracy of the algorithm. Simulations validate the proposed algorithm outperforms some intelligence algorithms in terms of optimization ability.
路径规划是自主无人飞行器(uav)系统应用的基础。它允许无人机在有限的时间内找到与某些特定任务相关的最佳路径,特别是在大型场景中。本文提出了一种新的竞争性自组织神经网络算法,以提高传统算法的搜索能力和收敛速度。更具体地说,在初始化阶段,采用一种新的基于对立的学习来生成更好的神经元。其次,在隐藏层之上增加一个二级竞争层,从而提高了算法的准确性。仿真结果表明,该算法在优化能力上优于一些智能算法。
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引用次数: 4
VABD: Visual Analysis of Spatio-temporal Trajectory Based on Urban Bus Data 基于城市公交数据的时空轨迹可视化分析
Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345182
Liang Liu, Song Wang, Ting Cai, Weixin Zhao
Spatio-temporal trajectory data cover a wide area, have high real-time performance, which can not only reflect the timing change of road traffic but also reflect the travel rules of residents. However, due to the lack of effective methods, it is difficult for analysts to conduct in-depth analysis and extract valuable information. To help users to understand the situation of urban traffic congestion, explore the social behavior pattern, this paper proposed and implemented a novel interactive visual analysis system, Visual Analyzer for Bus Data (VABD). Visual analysis of spatio-temporal trajectory data is introduced into “intelligent transportation” to provide new ideas and data support for solving urban congestion problems. A case study based on urban bus data of Mianyang proves the effectiveness of the system.
时空轨迹数据覆盖范围广,实时性高,既能反映道路交通的时序变化,又能反映居民的出行规律。然而,由于缺乏有效的方法,分析人员很难进行深入的分析,提取有价值的信息。为了帮助用户了解城市交通拥堵状况,探索社会行为模式,本文提出并实现了一种新的交互式可视化分析系统——公交数据可视化分析器(VABD)。将时空轨迹数据可视化分析引入“智能交通”,为解决城市拥堵问题提供新的思路和数据支持。以绵阳市城市公交数据为例,验证了该系统的有效性。
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引用次数: 0
Distributed Data Trading Model Based on Blockchain 基于区块链的分布式数据交易模型
Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345212
Jingang Yu, Peipei Zhao, Shu Li, Haiting Wang
The current flow and trading of data has been a trend, but the current enthusiasm for data trading is not high. Due to the particularity of data and the current trading pattern of data, the ability of data trading platform to retain trading data has become a potential threat to both sides of the transaction and an obstacle to data trading. Due to the sensitivity of data, how to protect the privacy security of both sides of the transaction is also an important factor hindering the current data transaction. In response to the existing problems, this paper proposes a feasibility plan for data security transactions based on blockchain and in an untrusted environment, and designs a new decentralized transaction platform that will help transform data through online transactions. At the same time, it is technically guaranteed that the platform does not have the possibility of viewing, copying and detaining data, thereby ensuring the secure transaction of data and the privacy of both parties to the transaction.
目前数据的流动和交易已经是一种趋势,但目前对数据交易的热情并不高。由于数据的特殊性和当前数据的交易模式,数据交易平台对交易数据的保留能力已经成为交易双方的潜在威胁和数据交易的障碍。由于数据的敏感性,如何保护交易双方的隐私安全也是阻碍当前数据交易的重要因素。针对存在的问题,本文提出了一种基于区块链、非信任环境下的数据安全交易的可行性方案,并设计了一种新的去中心化交易平台,通过在线交易实现数据的转换。同时,从技术上保证了平台不具备查看、复制和保留数据的可能性,从而保证了数据的安全交易和交易双方的隐私。
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引用次数: 0
System Design and Performance Test for Phased Array Radar Communication 相控阵雷达通信系统设计与性能测试
Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345113
Wenge Xing, Yuan Yao, Guang-xin Wu, Xinxin Liu, Jun Zhu
Radar communication integration seems promising to meet multiple mission requirements, reduce the number of antennas, and improve the utilization of spectrum resources. However, proper system design is required to obtain these advantages. In this paper, we propose a radar communication framework which allows radar and communication to share aperture, beamforming, spectrum, and resource scheduling. Moreover, a burst communication waveform is proposed to overcome the impact of saturated power amplifiers and improve performance. Moreover, we develop a radar communication test system. Test results validate the feasibility and effect of our proposed radar communication framework. Besides, in the test radar communication integration system, over-the-horizon scattering communications have been realized.
雷达通信一体化有望满足多种任务需求,减少天线数量,提高频谱资源利用率。然而,要获得这些优势,需要适当的系统设计。在本文中,我们提出了一个雷达通信框架,它允许雷达和通信共享孔径、波束形成、频谱和资源调度。此外,提出了一种突发通信波形,克服了饱和功率放大器的影响,提高了性能。此外,我们还开发了一个雷达通信测试系统。测试结果验证了所提出的雷达通信框架的可行性和有效性。此外,在测试雷达通信集成系统中,实现了超视距散射通信。
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引用次数: 0
Image Emotion Caption Based on Visual Attention Mechanisms 基于视觉注意机制的图像情感字幕
Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9344900
Bo Li, Yuqing Zhou, Hui Ren
Nowadays, most image automatic descriptions are based on objective descriptions and not contain subjective emotions. However, when people observe images, they will have certain subjective feelings. This paper proposes an image emotion description system based on attention mechanism, which automatically generates captions with sentiments. In the encoding stage, we use CNN to extract image features. In the decoding description phase, we use two same direction parallel LSTMs‐ — one represents factual descriptions; another specializes in descriptions with emotion. When attention mechanism detects different regions of the image, whether emotional words need to be output is selected by a switching mechanism. This system makes the image description more vivid and ensures the accuracy of the description.
目前,大多数图像自动描述都是基于客观描述,不包含主观情绪。然而,当人们观察图像时,他们会有一定的主观感受。本文提出了一种基于注意机制的图像情感描述系统,该系统能够自动生成带有情感的字幕。在编码阶段,我们使用CNN提取图像特征。在解码描述阶段,我们使用两个相同方向的并行lstm,一个表示事实描述;另一位则擅长描写情感。当注意机制检测到图像的不同区域时,由切换机制选择是否需要输出情感词。该系统使图像描述更加生动,保证了描述的准确性。
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引用次数: 2
A Video Based Method of Occlusion Vehicle Completion 基于视频的遮挡车辆补全方法
Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345261
Z. Yang, Chen Chen Kong
Aiming at the problem of vehicle partial occlusion in the road monitoring image, the idea of vehicle partial occlusion completion based on depth learning is proposed. Using the characteristics that the appearance of the vehicle is basically unchanged in a short period of time, the same vehicle image that is not occluded in the same equipment or adjacent monitoring video is found, and the image information is extracted to complete the occluded vehicle image. This method mainly involves two key technologies, one is vehicle recognition technology, the other is image smoothing technology. In this paper, based on the mature vehicle recognition technology and image smoothing technology, some improvements are made to effectively solve the technical problems such as occluded vehicle recognition, image smoothing with angle adjustment and so on.
针对道路监控图像中车辆局部遮挡问题,提出了基于深度学习的车辆局部遮挡补全思想。利用车辆外观在短时间内基本不变的特点,找到同一设备或相邻监控视频中未遮挡的同一车辆图像,提取图像信息,完成遮挡后的车辆图像。该方法主要涉及两个关键技术,一是车辆识别技术,二是图像平滑技术。本文在成熟的车辆识别技术和图像平滑技术的基础上,对遮挡车辆识别、角度调整图像平滑等技术问题进行了改进,有效解决了遮挡车辆识别、图像平滑等技术难题。
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引用次数: 2
Application of HBM2 Data Storage in Time and Frequency Hopping Network Communication System HBM2数据存储在跳时频网络通信系统中的应用
Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345031
Qian Wang, Feng Zhang, J. Zhao, Zhe Li
In the receiving link of time and frequency hopping communication system, it is necessary to search multiple frequency points and time intervals according to a variety of time-frequency patterns at the same time, then complete blind data acquisition and effective information extraction. A large amount of data storage is required. This paper calculates and explains the data storage amount and storage speed of a certain time and frequency hopping communication system, compares and analyzes the advantages and disadvantages of the three storage methods and the applicable scenarios. Finally, the data storage method based on HBM2 in Stratix series FPGA is introduced in detail, and the practical application in the time and frequency hopping communication system verifies the storage speed and storage capacity of the method whether meets the system requirements.
在跳时通信系统的接收环节,需要同时根据多种时频模式搜索多个频率点和时间间隔,完成盲数据采集和有效信息提取。需要大量的数据存储。本文对某跳时通信系统的数据存储量和存储速度进行了计算和说明,并对三种存储方式的优缺点和适用场景进行了比较分析。最后,详细介绍了基于HBM2在Stratix系列FPGA中的数据存储方法,并在跳时频通信系统中的实际应用验证了该方法的存储速度和存储容量是否满足系统要求。
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引用次数: 1
Multi-scale Recalibration with Advanced Geometry Constraints for 3D Human Pose Estimation 基于高级几何约束的三维人体姿态估计的多尺度再校准
Pub Date : 2020-12-11 DOI: 10.1109/ICCC51575.2020.9345270
Meng Xiao, Hailun Xia, Ziwei Xie, Chunyan Feng
Estimating 3D human poses from a single RGB image is a challenging task in computer vision due to depth ambiguity and lack of unconstrained 3D datasets. Poor exploiting of image cues will lead to inaccurate pose predictions. Previous works try to constrain illegal spatial relations and exploit 2D annotations of in-the-wild images as weak labels. In this paper, we propose to use multi-scale recalibration with stronger geometry constraints to regress 3D pose. The overall network is end-to-end which consists of a 2D pose estimation sub-network and a depth regression subnetwork. Firstly, by adding the residual multi-scale recalibration module to the depth regression sub-network, our approach works better on exploiting the structural information of human poses. Secondly, the advanced geometry constraints are introduced to restrict the human pose from the bone length and joint angle orientation, which shows a better result. Experimental results on the Human3.6m and in-the-wild MPII datasets show the effectiveness and robustness of our method.
由于深度模糊和缺乏无约束的3D数据集,从单个RGB图像估计3D人体姿势在计算机视觉中是一项具有挑战性的任务。对图像线索的不良利用将导致不准确的姿势预测。之前的作品试图约束非法的空间关系,利用野外图像的二维注释作为弱标签。在本文中,我们提出使用具有更强几何约束的多尺度重新校准来回归三维姿态。整个网络是端到端的,由一个二维姿态估计子网络和一个深度回归子网络组成。首先,在深度回归子网络中加入残差多尺度再标定模块,可以更好地挖掘人体姿态的结构信息;其次,引入先进的几何约束,从骨骼长度和关节角度方向对人体姿态进行约束,取得了较好的效果;在Human3.6m和in-the-wild MPII数据集上的实验结果表明了该方法的有效性和鲁棒性。
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引用次数: 0
期刊
2020 IEEE 6th International Conference on Computer and Communications (ICCC)
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