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2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)最新文献

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Security Analysis and Improvement of Identity-based Key Management Scheme for Airborne Ad Hoc Networks 机载Ad Hoc网络基于身份的密钥管理方案的安全性分析与改进
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339697
H. ShiWei, Tan Yubo, Liu Shaojun, Tian Balin
An identity-based distributed key management scheme for airborne ad hoc networks is analyzed. It is demonstrated that in the generation phase of user private key, the user identity certificate is transmitted in the public channel, so that the attacker can use the intercepted identity certificate to fake the legitimate node and cheat the distributed key generation center to generate private key for it. Then, an improved authentication scheme is proposed. It constructs the signature of timestamp using the private key of the user node as authentication proof, so that the attacker can't forge the authentication information. It is showed that the improved scheme can effectively resist the forgery attack, and further reduce the computing cost of user nodes while realizing all the functions of the original scheme.
分析了一种基于身份的机载自组网分布式密钥管理方案。在用户私钥生成阶段,用户身份证书在公共通道中传输,攻击者可以利用截获的身份证书伪造合法节点,欺骗分布式密钥生成中心为其生成私钥。然后,提出了一种改进的认证方案。它使用用户节点的私钥构造时间戳签名作为认证证明,使攻击者无法伪造认证信息。结果表明,改进后的方案能够有效地抵抗伪造攻击,在实现原方案所有功能的同时,进一步降低了用户节点的计算成本。
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引用次数: 0
Predicting the transient NOx emissions of the diesel vehicle based on LSTM neural networks 基于LSTM神经网络的柴油车瞬态NOx排放预测
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339757
Yanyan Wang, Yang Yu, Jiaqiang Li
Nitrogen oxide (NOx) emissions play an important role in the study of diesel engine pollutant emissions. This study introduces the long short-term memory (LSTM) neural network to estimate the transient NOx emissions of diesel vehicles. The LSTM deep neural network is used to build the prediction model to ensure the stability as well as the accuracy of the model. The results show that the model has better predictive performance and stability than the two commonly used benchmark models, and the following conclusions are drawn: (1) LSTM has better learning and prediction ability for transient changes in NOx emissions. Compared to prediction with random forest (RF) and support vector regression (SVR), the mean absolute deviation and root mean square error of LSTM are reduced by about 23.6% and 8.3% at least, which also indicated that the input parameters selection method was effective. (2) LSTM is a general estimation approach for time series data, which can reduce the suppression effect of transient data changes on model prediction, and has high prediction accuracy, and can be employed for real road NOx emission analysis.
氮氧化物(NOx)排放在柴油机污染物排放研究中占有重要地位。本研究将长短期记忆神经网络(LSTM)引入柴油车瞬态NOx排放估计中。采用LSTM深度神经网络构建预测模型,保证了模型的稳定性和准确性。结果表明,该模型比常用的两种基准模型具有更好的预测性能和稳定性,并得出以下结论:(1)LSTM对NOx排放的瞬态变化具有更好的学习和预测能力。与随机森林(random forest, RF)和支持向量回归(support vector regression, SVR)预测相比,LSTM的平均绝对偏差和均方根误差分别降低了23.6%和8.3%,这也表明了输入参数选择方法的有效性。(2) LSTM是一种对时间序列数据的通用估计方法,可以减少暂态数据变化对模型预测的抑制作用,具有较高的预测精度,可用于实际道路NOx排放分析。
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引用次数: 4
Research on Auxiliary System of Big Data Abnormality in Station Area Line Loss under Smart Grid 智能电网下站区线损大数据异常辅助系统研究
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339625
A. Hongyu, Zheng Jianfeng
The thesis takes the station parameters in the three systems of utilization, simultaneous line loss, and theoretical line loss as the analysis object and develops an auxiliary analysis and management system for abnormal line loss in the station area. The system starts to treat the line loss problem in the station area. Use data clustering to analyze the statistical line loss in the regular, economic, and high-loss intervals in the three sets of system parameters, form typical parameters as the results of big data analysis and apply them to the three systems. Data governance and line loss governance make decisions.
本文以利用、同步线损、理论线损三个系统中的车站参数为分析对象,开发了车站区域异常线损辅助分析与管理系统。系统开始处理站区的线路损耗问题。利用数据聚类分析三组系统参数在规则、经济、高损区间的统计线损,形成典型参数作为大数据分析结果,并应用于三组系统。数据治理和线路损耗治理做出决策。
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引用次数: 1
Research on Maker Space Policy Expression Based on Co-Word Analysis 基于共词分析的创客空间政策表达研究
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339626
Wu Chen, Tiannan Yang, Liyan Lai
By analyzing the text of maker space policy, it is helpful to understand the logic of policy expression and evolution. The co-word analysis method, ROSTCM6.0 and Netdraw systems are used to compare and analyze 81 policy texts with Beijing, Hubei, Sichuan and Jilin as typical representatives. The study found that different regional policy texts have basically the same policy value orientation in terms of service awareness, platform construction, fiscal and taxation policies, etc., while the differentiation level is manifested in incorporating regional resource endowment into the expression of policy texts, thus highlighting advantages and forming social influence. The research conclusion provides empirical evidence for further improving maker space policy.
通过对创客空间政策文本的分析,有助于理解政策表达与演变的逻辑。采用共词分析法、ROSTCM6.0和Netdraw系统,以北京、湖北、四川和吉林为典型代表,对81篇政策文本进行对比分析。研究发现,不同区域政策文本在服务意识、平台建设、财税政策等方面具有基本相同的政策价值取向,而差异化程度表现为将区域资源禀赋纳入政策文本的表达中,从而凸显优势,形成社会影响力。研究结论为进一步完善创客空间政策提供了实证依据。
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引用次数: 1
Performance Simulation of Proton Exchange Membrane Fuel Cell System Based on Fuzzy Logic 基于模糊逻辑的质子交换膜燃料电池系统性能仿真
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339730
Zhiwei Huang, Junbo Zhou, Yuanshuai Cui
Proton exchange membrane fuel cell (PEMFC) is a new type of fuel cell developed after alkaline fuel cell, phosphoric acid fuel cell, molten carbonate fuel cell and solid oxide fuel cell. In this paper, the dynamic parameter model of PEMFC electric reactor is established based on the experience of proton exchange membrane fuel cells. On the basis of this parameter model, the intelligent method is used to identify the system, and the identification model of voltage and temperature is established. Finally, based on fuzzy logic, the operating performance of the battery system was simulated, a comprehensive PEMFC simulation model was established, a PEMFC voltage identification model was established, and a PEMFC temperature identification model was established by using fuzzy logic network, so as to reduce the fluctuation range as much as possible to reach the research purpose.
质子交换膜燃料电池(PEMFC)是继碱性燃料电池、磷酸燃料电池、熔融碳酸盐燃料电池和固体氧化物燃料电池之后发展起来的一种新型燃料电池。本文根据质子交换膜燃料电池的经验,建立了质子交换膜燃料电池反应器的动态参数模型。在此参数模型的基础上,采用智能方法对系统进行识别,建立了电压和温度的识别模型。最后,基于模糊逻辑对电池系统的运行性能进行了仿真,建立了全面的PEMFC仿真模型,建立了PEMFC电压辨识模型,并利用模糊逻辑网络建立了PEMFC温度辨识模型,以尽可能减小波动范围,达到研究目的。
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引用次数: 5
Facial Expression Recognition Based on Convolutional Neural Networks and Edge Computing 基于卷积神经网络和边缘计算的面部表情识别
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339739
Gezheng Xu, Haoran Yin, Junhui Yang
With edge devices playing an increasingly important role in our daily lives, edge computing and human-computer interaction, especially facial expression recognition, become research central issues in academia and industry. However, surprisingly, utilizing edge computing and neural networks for facial expression recognition has been neglected for many years, very few research can be found. To be focusing on such topics. In this paper, we improve Visual Geometry Group 19 with the idea of residual learning. To be specific, for each block of Visual Geometry Group 19, we add its input to its output. The result of the addition will be the input of the next block. Then, we minimize the size of our model by pruning and post-training quantization to achieve a higher efficiency and maintain the model's accuracy at the same time when deploying it on edge devices. The experiment result shows that our model has a 98.99% accuracy on the CK+ dataset. Besides, when deploying on edge devices, its inference time is less than many other popular neural networks that are designed for deploying on edge-devices.
随着边缘设备在我们的日常生活中发挥着越来越重要的作用,边缘计算和人机交互,特别是面部表情识别,成为学术界和工业界的研究中心问题。然而,令人惊讶的是,利用边缘计算和神经网络进行面部表情识别多年来一直被忽视,很少有研究可以找到。关注这些话题。本文用残差学习的思想改进了视觉几何第19组。具体来说,对于Visual Geometry Group 19的每个块,我们将其输入添加到输出中。加法的结果将是下一个块的输入。然后,我们通过剪枝和训练后量化来最小化模型的大小,从而在将模型部署到边缘设备上的同时达到更高的效率并保持模型的准确性。实验结果表明,该模型在CK+数据集上的准确率为98.99%。此外,当部署在边缘设备上时,它的推理时间比许多其他流行的用于部署在边缘设备上的神经网络要短。
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引用次数: 2
Predicting Video Website DAU by Random Forest Algorithm 随机森林算法预测视频网站DAU
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339622
Jianhua Dai, Xiao Guo, Libo Jin
With the rise of major video websites, the scale of video website users is expanding. Users are the core of all video websites, so it is of great significance to study video website DAU to evaluate and guide its operation. Based on the data of a video website DAU and platform layout from January 2017 to December 2018, this article analyzes the influencing factors of the video website DAU, selects 10 influencing factors from broadcasting arrangement, content level, content mode, and winter and summer vacations, constructs a Random Forest model, makes regression prediction on the daily average DAU of the video website and calculates the importance of 10 variables. The results show that the most important predictor of DAU is the self-produced drama, followed by the number of variety shows S-level, variety shows A-level and TV series. Video websites can use the method to predict DAU, and improve their operation from the above predictors.
随着各大视频网站的崛起,视频网站用户规模不断扩大。用户是所有视频网站的核心,因此研究视频网站的DAU对于评估和指导视频网站的运营具有重要意义。本文基于某视频网站2017年1月至2018年12月的DAU和平台布局数据,对该视频网站DAU的影响因素进行分析,从播出安排、内容水平、内容模式、寒暑假等方面选取10个影响因素,构建随机森林模型,对该视频网站日平均DAU进行回归预测,并计算10个变量的重要度。结果表明,对DAU最重要的预测因子是自产剧,其次是综艺节目s级、综艺节目a级和电视剧数量。视频网站可以使用该方法预测DAU,并根据上述预测指标改进运营。
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引用次数: 0
5G Remote I/O System Design and Implement in Industry 5G远程I/O系统的工业设计与实现
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339619
Ziwei Jia, W. Xia, Dongdong Li, Weimin Zhang
5G has gone to everyone with the characteristic of Ultra-Reliable Low Latency Communication (uRLLC) and Enhance Mobile Broadband (eMBB), which can meet increasing industrial data transmission requirements. In this paper, a wireless I/O (Input or Output) System is designed to transmit I/O signal with OPC Unified Architecture (OPC UA) protocol in 5G Local Area Network (LAN). The system includes remote modules, which connect to sensors and actuators for data acquisition and output, a cloud server, which is used for Dynamic Domain Name Resolution (DDNS), and controllers that process the data and monitor remotely. Besides, the implemented system includes Raspberry Pi 4th, which is used as the remote module, and a DDNS server, which runs in the cloud. Finally, two scenarios are presented to transmit the sensors data with this system.
5G以超可靠低延迟通信(uRLLC)和增强移动宽带(eMBB)的特性走向了每个人,可以满足日益增长的工业数据传输需求。本文设计了一种基于OPC统一架构(OPC UA)协议的无线I/O(输入或输出)系统,在5G局域网(LAN)中传输I/O信号。该系统包括远程模块,用于连接传感器和执行器进行数据采集和输出,云服务器用于动态域名解析(DDNS),以及处理数据和远程监控的控制器。此外,所实现的系统包括作为远程模块的Raspberry Pi 4和运行在云端的DDNS服务器。最后,给出了用该系统传输传感器数据的两种场景。
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引用次数: 1
Identity-based Handover Authentication Scheme without Pairing or Wireless Networks 基于身份的切换认证方案,无需配对或无线网络
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339743
Shiwei Huo, Shengming Guo, Balin Tian, Shaojun Liu
Handover authentication scheme for mobile network enables mobile nodes to roam safely on different access points. Recently, a handover authentication protocol called pairhand and its improved scheme have been proposed, which are superior to all other schemes in security and efficiency. However, both schemes are based on bilinear pairings, which is a complex operation. In this paper, a novel pair-less handover authentication protocol is proposed. It eliminates the pairing operations, and further reduces the computation cost on mobile user without losing any security features.
移动网络的切换认证方案使移动节点能够在不同的接入点上安全地漫游。近年来,人们提出了一种名为pairhand的移交认证协议及其改进方案,该协议在安全性和效率方面都优于其他协议。然而,这两种方案都基于双线性对,这是一个复杂的操作。提出了一种新的无对切换认证协议。它消除了配对操作,在不损失任何安全特性的情况下,进一步降低了移动用户的计算成本。
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引用次数: 0
Design of A Miniature 50Ω-Printed Bowtie Planar Ultra- Wideband Antenna 一种微型50Ω-Printed领结平面超宽带天线的设计
Pub Date : 2020-12-11 DOI: 10.1109/TOCS50858.2020.9339708
Jida Peng, Bo Zhou, Yujie Liu, Fuyuan Zhao, Yeran Jin
A bowtie antenna for ultra-wideband (UWB) wireless transceivers is designed and fabricated, with a 50-Ω impedance-matching layer to connect SMA interface. The antenna based on FR4 printed circuit board (PCB), employs radial planar monopole architecture, and is made of copper, with butterfly appearance and a small size of 3-cm length and 2.2-cm width. Experimental results show that the presented antenna achieves the return loss lower than −15 dB, the gain up to 2.8 dB, and the impedance of 46.46 ~ 52.83 Ω, within the desired frequency band of 3.7 ~ 4.3 GHz.
设计并制作了一种用于超宽带(UWB)无线收发器的领结天线,该天线采用50-Ω阻抗匹配层连接SMA接口。该天线基于FR4印刷电路板(PCB),采用径向平面单极结构,采用铜制成,外形呈蝴蝶状,尺寸小,长3厘米,宽2.2厘米。实验结果表明,该天线在3.7 ~ 4.3 GHz频段内,回波损耗小于−15 dB,增益达2.8 dB,阻抗为46.46 ~ 52.83 Ω。
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引用次数: 0
期刊
2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)
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