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Elevator dynamic monitoring and early warning system based on machine learning algorithm 基于机器学习算法的电梯动态监测预警系统
IF 1.4 Q1 Mathematics
IET Networks
Pub Date : 2022-12-05 DOI: 10.1049/ntw2.12077
Shuai Zhang, Qiangguo Yin, Jinlong Wang
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引用次数: 0
Features requirement elicitation process for designing a chatbot application 聊天机器人应用程序设计的特征需求引出过程
IF 1.4 Q1 Mathematics
IET Networks
Pub Date : 2022-11-21 DOI: 10.1049/ntw2.12071
Nurul Muizzah Johari, Puteri N. E. Nohuddin, A. Baharin, N. Yakob, Mohammad Javad Ebadi
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引用次数: 5
Parametric design method of building structured cabling system oriented to data mining 面向数据挖掘的结构化布线系统参数化设计方法
IF 1.4 Q1 Mathematics
IET Networks
Pub Date : 2022-11-19 DOI: 10.1049/ntw2.12070
Bin Wang, Wei Yue
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引用次数: 0
Precision agriculture intelligent connection network based on visual navigation 基于视觉导航的精准农业智能互联网络
IF 1.4 Q1 Mathematics
IET Networks
Pub Date : 2022-11-01 DOI: 10.1049/ntw2.12068
Sudan Chen, Mingkun Zhang, Xiuzhen Li, Xueqiang Li, Wanying Liu, Baofeng Ji

In the process of contemporary agricultural production, the application of intelligent connection and automatic navigation technology of modern agricultural machinery is increasingly common. The application of visual navigation technology in the field of intelligent connection of agricultural machines can provide accurate and reliable positioning signals for agricultural machines so as to carry out intelligent and automatic agricultural machinery operations. In order to realise precision agricultural operation and intelligent navigation, a network of combining decision-making by using visual navigation recognition and image processing is proposed. The system design mainly includes two parts: visual navigation system and control network. Agricultural machinery uses monocular vision image acquisition to collect farmland image. The computer analyzes the image, extracts the navigation centreline, obtains the navigation path information, and completes the identification and positioning of the navigation path. The simulation process verifies that the designed image navigation precision agricultural intelligent connection network can provide efficient, precise, and intelligent control of agricultural machinery.

在当代农业生产过程中，现代农业机械智能连接和自动导航技术的应用日益普遍。视觉导航技术在农机智能连接领域的应用，可以为农机提供准确、可靠的定位信号，从而实现农机作业的智能化、自动化。为了实现农业精准经营和智能导航，提出了一种基于视觉导航识别和图像处理相结合的决策网络。系统设计主要包括视觉导航系统和控制网络两部分。农业机械采用单目视觉图像采集技术采集农田图像。计算机对图像进行分析，提取导航中心线，得到导航路径信息，完成导航路径的识别和定位。仿真过程验证了所设计的图像导航精准农业智能连接网络能够为农业机械提供高效、精准、智能的控制。
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引用次数: 0
Distributed wireless network resource optimisation method based on mobile edge computing 基于移动边缘计算的分布式无线网络资源优化方法
IF 1.4 Q1 Mathematics
IET Networks
Pub Date : 2022-10-31 DOI: 10.1049/ntw2.12066
Jiongting Jiang, Chao Quan, Kai Qian, Jiefeng Pan, Yueping Yang
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引用次数: 0
Finite-time sliding mode synchronisation of a fractional-order hyperchaotic system optimised using a differential evolution algorithm with dual neural networks 基于对偶神经网络的微分进化算法优化分数阶超混沌系统的有限时间滑模同步
IF 1.4 Q1 Mathematics
IET Networks
Pub Date : 2022-10-30 DOI: 10.1049/ntw2.12069
Keyong Shao, Ao Feng, Tingting Wang, Wenju Li, Jilu Jiang

To solve the synchronisation problem associated with fractional-order hyperchaotic systems, in this study, a new dual-neural network finite-time sliding mode control method was developed, and a differential evolution algorithm was used to optimise the switching gain, control parameters, and sliding mode surface parameters, greatly reducing chattering problems in sliding mode controllers. By using the developed method, the complete synchronisation of the drive system and the response system of a fractional-order hyperchaotic system was realised in a finite time; moreover, the stability of the error system under this method was proved by using Lyapunov stability theorem. Numerical simulation results verified the feasibility and superiority of the method.

为了解决分数阶超混沌系统的同步问题，本研究提出了一种新的双神经网络有限时间滑模控制方法，并采用微分进化算法对切换增益、控制参数和滑模表面参数进行优化，极大地减少了滑模控制器的抖振问题。利用该方法，在有限时间内实现了分数阶超混沌系统驱动系统与响应系统的完全同步;利用李雅普诺夫稳定性定理证明了该方法下误差系统的稳定性。数值仿真结果验证了该方法的可行性和优越性。
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引用次数: 0
Named data network dynamic cache placement strategy based on programmable data plane 基于可编程数据平面的命名数据网络动态缓存布局策略
IF 1.4 Q1 Mathematics
IET Networks
Pub Date : 2022-10-21 DOI: 10.1049/ntw2.12067
Saifeng Hou, Yuxiang Hu, Le Tian

Aiming at the efficiency and implementation of in-network cache in Named Data Network, an in-network cache method based on the programmable data plane was proposed. Set the cache port on the programmable data plane, when the cache policy determined that the content needs to be cached, set the output port as the cache port and forward it to the cache unit for caching. According to the different requirements of different contents on Quality of Service, the request contents were classified. And the cache probability of classified contents was calculated based on the content popularity and the cache cooperation information between nodes. The cache threshold was dynamically set according to the state of cache space occupancy and compared with the cache probability to determine whether to cache the contents. Experimental results show that the proposed cache placement strategy can effectively improve the cache hit ratio and reduce the average transmission latency compared with the traditional cache placement strategy.

针对命名数据网中网内缓存的效率和实现问题，提出了一种基于可编程数据平面的网内缓存方法。设置可编程数据平面的缓存端口，当缓存策略确定需要缓存的内容时，将输出端口设置为缓存端口，转发给缓存单元进行缓存。根据不同内容对服务质量的不同要求，对请求内容进行分类。根据分类内容的流行度和节点间的缓存合作信息，计算分类内容的缓存概率。根据缓存空间占用情况动态设置缓存阈值，并与缓存概率进行比较，决定是否缓存内容。实验结果表明，与传统的缓存放置策略相比，所提出的缓存放置策略可以有效地提高缓存命中率，降低平均传输延迟。
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引用次数: 0
Energy Saving Potential Evaluation for U-V Connection Power System-Case Study in Taipower U-V连接电力系统的节能潜力评估——以台湾电力公司为例
IF 1.4 Q1 Mathematics
IET Networks
Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971673
Meilan Chen, Pei-Gang Chen, Che-Yu Lu
There have always been many disagreements over applying open-wye open-delta transformer connection for supplying small business users. However, as the most commonly used power supply method for Taiwan’s $3Phi 3mathrm{W}220mathrm{V}$ system, it is not without its advantages. There are more reasons for being stigmatized because of user misuse. This study intends to discuss this electric utility system from the point of view of energy saving, and try to propose improvement schemes.
对于应用开眼开三角变压器连接供电给小型企业用户，一直存在许多分歧。不过，作为台湾$3Phi 3 mathm {W}220 mathm {V}$系统最常用的供电方式，也并非没有优势。因为用户滥用而被污名化的原因更多。本研究拟从节能的角度对该电力公用系统进行探讨，并尝试提出改进方案。
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引用次数: 0
A Hybrid Method for Hour-ahead PV Output Forecast with Historical Data Clustering 具有历史数据聚类的小时前光伏产量预测混合方法
IF 1.4 Q1 Mathematics
IET Networks
Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971576
Nuttapat Jittratorn, G. Chang, Guan-Yi Li
An accurate forecast of the photovoltaic (PV) output can indispensably enhance the stability of power supply. However, the effectiveness of prediction results highly depends on many factors and the data preparations are also an essential process to be considered. The focus of this paper is to classify PV data types by density-based spatial clustering of applications with noise (DBSCAN). Then, the procedure for historical data clustering and for hour-ahead PV output forecast implemented by back propagation neural network (BPNN) model is present. Forecasted results show that data clustering provided by DBSCAN can efficiently classify the PV data types for input to BPNN to achieve better accuracy.
准确预测光伏发电出力对提高电力系统的稳定性具有不可缺少的作用。然而，预测结果的有效性在很大程度上取决于许多因素，数据准备也是一个必须考虑的过程。本文的重点是利用基于密度的带噪声应用空间聚类(DBSCAN)对光伏数据类型进行分类。然后，给出了历史数据聚类和基于反向传播神经网络(BPNN)模型的小时前光伏发电量预测过程。预测结果表明，DBSCAN提供的数据聚类可以有效地对输入到BPNN的PV数据类型进行分类，达到较好的准确率。
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引用次数: 0
A Friendly Vision Enhancement System Prototype Development for Text Content 文本内容友好视觉增强系统原型开发
IF 1.4 Q1 Mathematics
IET Networks
Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971624
W. Fang, Lam Tuyen Le, Chen-Han Yu
This paper proposes a system that helps users to enhance their reading ability. A reading enhancement system has been developed based on image capture, image processing, segmentation, and pattern recognition. This system not only provides a better user experience than using a telescope or just a smartphone but also facilitates efficient reading. The result of this paper has been validated in the classroom and laboratory. In the future, researchers can use this system to study the user experience of glasses or help disabled people to get better learning results.
本文提出了一个帮助用户提高阅读能力的系统。一个基于图像捕获、图像处理、分割和模式识别的阅读增强系统已经被开发出来。该系统不仅提供了比使用望远镜或智能手机更好的用户体验，而且还促进了高效阅读。本文的研究结果在课堂和实验室得到了验证。在未来，研究人员可以使用这个系统来研究眼镜的用户体验，或者帮助残疾人获得更好的学习效果。
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引用次数: 0
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