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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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
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
Investigation of p-GaN Gate HEMT using Removal Si Substrate and part of Buffer Layer 去除硅衬底和部分缓冲层制备p-GaN栅极HEMT的研究
IF 1.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
IET Networks
Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971618
Y. Lin, Y. Chiu, E. Chang
Normally-off p-GaN gate high electron mobility transistor (HEMT) on Si substrate using the back-side via process was investigated. We removed the Si substrate and part of the GaN carbon-doped layer. A 100 nm thickness of SiO2 layer is deposited on the back-side via to obstruct the buffer leakage, and a 1um thick gold is electroplated to improve the self-heating effect. With and without the backside via process, the threshold voltages are 0.92 and 1.45 V, the on/off drain current ratios are 5×1010 and 5×108, the subthreshold swings are 154 and 224 mV/dec, the static on-resistances are 24.77 and 27.55 Ω.mm, and the dynamic on-resistance ratios are 1.18 and 1.3.
研究了硅衬底上常关p-GaN栅极高电子迁移率晶体管(HEMT)。我们去除了Si衬底和部分GaN碳掺杂层。在背面孔道上沉积100 nm厚度的SiO2层以阻断缓冲泄漏，并电镀1um厚的金以提高自热效果。有无后通孔工艺，阈值电压分别为0.92和1.45 V，漏极通断电流比分别为5×1010和5×108，亚阈值振荡分别为154和224 mV/dec，静态导通电阻分别为24.77和27.55 Ω。Mm，动态通阻比分别为1.18和1.3。
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引用次数: 0
IET-ICETA 2022 Cover Page IET-ICETA 2022封面页
IF 1.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
IET Networks
Pub Date : 2022-10-14 DOI: 10.1109/iet-iceta56553.2022.9971701
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引用次数: 0
Wide Range Output Voltage LLC Resonant Converter for Electric Vehicle Charging System 用于电动汽车充电系统的宽范围输出电压LLC谐振变换器
IF 1.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
IET Networks
Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971521
C. Chen, Yi-Feng Lin, Wei-Cheng Chen, Jing-Yuan Lin, H. Chiu
This paper presents the hybrid control of a fullbridge LLC series resonant converter as the application of an electric vehicle charging system. the hybrid control combines three control methods to achieve wide a output voltage range of about $75sim 475 V$, three control methods including the pulse-frequency control method, phase-shift control method, and burst mode. finally, a wide-range output voltage LLC resonant converter prototype is realized. The specification of the prototype is a DC input voltage of SOO V, an output voltage of 75-475V, and maximum output power of 7.5 kW. The peak efficiency is 97.2 %.
本文介绍了全桥LLC串联谐振变换器的混合控制在电动汽车充电系统中的应用。混合控制结合了三种控制方法，包括脉冲频率控制方法、相移控制方法和突发控制方式，实现了约75 μ m 475 V的宽输出电压范围。最后，实现了大范围输出电压LLC谐振变换器样机。样机的规格为直流输入电压SOO V，输出电压75 ~ 475v，最大输出功率7.5 kW。峰值效率为97.2%。
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引用次数: 1
COVID-19 Lung CT Images Recognition with Superscalar Winograd Circuit Based on VGG19 基于VGG19的标量Winograd电路的COVID-19肺部CT图像识别
IF 1.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
IET Networks
Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971486
Shao-Huai Wang, Pin-Chieh Hsieh, Tzu-Yao Su, Jhih-Yuan Gao, Min-Hua Lu, Yunqi Fan
In this paper, we proposed COVID-19 lung CT (computed tomography) images recognition with superscalar winograd circuit based on VGG19. We adopt the VGG-19 machine learning architecture to recognize lung CT images and speed up neural network operations through Superscalar Winograd Circuit. After a series of experiments, our proposed method has a high pneumonia recognition rate and high computational efficiency.
本文提出了基于VGG19的标量winograd电路的COVID-19肺部CT (computer tomography)图像识别方法。我们采用VGG-19机器学习架构对肺部CT图像进行识别，并通过超标量Winograd电路加快神经网络运算速度。经过一系列的实验，我们提出的方法具有较高的肺炎识别率和计算效率。
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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 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
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
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