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2020 IEEE REGION 10 CONFERENCE (TENCON)最新文献

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Shunt VSC Based Subsynchronous Damping Control for DFIG-based Wind Farms Connected to an MMC-HVDC System MMC-HVDC系统中基于dfig的风电场并联VSC的次同步阻尼控制
Pub Date : 2020-11-16 DOI: 10.1109/TENCON50793.2020.9293924
Fan Zhang, C. Yin, Haozhi Li, Xiaorong Xie, Chao Hong, Hao Yuan, Yongjun Liu
An emerging subsynchronous oscillation (SSO) associated with wind generators and voltage-sourced converter (VSC) based HVDC has been observed around the world. It is revealed that this new type of SSO is caused by the subsynchronous control interaction among power electronic converters and the grid. In this paper, the stability criterion of SSO is examined using frequency-dependent impedance models. Then a shunt VSC based subsynchronous damping control (SVSDC) has been proposed to reshape the impedance characteristic of the whole system and thus mitigate the SSO. The stability criterion and the control has been applied to a typical system with DFIG-based wind farms connected to a modular multilevel converter (MMC) based HVDC transmission. Impedance model based analyses as well as electromagnetic simulations have verified the effectiveness of the criterion and the control scheme. For its flexibility of capacity and deployment, the proposed SVSDC offers a promising option to address the SSO issues associated with wind generators and/or VSC-HVDCs.
与风力发电机和电压源变流器相关的次同步振荡(SSO)已经在世界范围内被观察到。分析表明,这种新型的单点登录是由电力电子变流器与电网之间的次同步控制相互作用引起的。本文利用频率相关的阻抗模型研究了单点阵的稳定性判据。在此基础上,提出了一种基于并联VSC的次同步阻尼控制(SVSDC),以重塑整个系统的阻抗特性,从而减轻SSO。将该稳定性判据和控制方法应用于一个典型的基于dfig的风电场与基于模块化多电平变流器(MMC)的高压直流输电系统。基于阻抗模型的分析和电磁仿真验证了准则和控制方案的有效性。由于其容量和部署的灵活性,拟议的SVSDC为解决与风力发电机和/或vcs - hvdc相关的SSO问题提供了一个有希望的选择。
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引用次数: 1
Investigation of analog single event transient on low noise amplifier in X and Ka bands X和Ka波段低噪声放大器模拟单事件瞬态的研究
Pub Date : 2020-11-16 DOI: 10.1109/TENCON50793.2020.9293821
P. Rajendiran, R. Srinivasan
In this paper, we have analyzed the analog single event transient (ASET) performance of MOSFET based LNA circuits at two different frequencies (one in X band and another in Ka-band) to study the frequency dependency. The ASET impact is analyzed in the time and frequency domains under two scenarios, (i) absence of the RF input signal and (ii) the Presence of the RF input signal. In the first case, the collected charge (Qc) is taken as metric in the time domain and the second case, the spectrogram is used to analyze the disturbing presence in the fundamental frequency due to radiation strike. Based on the QC, the LNA used in X-band is more vulnerable compared to LNA used in Ka-band. The spectrogram results show that the LNA output spectrum in the X-band is disturbed more and stronger to the radiation strike compared to the LNA used in Ka-band.
在本文中,我们分析了基于MOSFET的LNA电路在两个不同频率(X波段和ka波段)下的模拟单事件瞬态(ASET)性能,以研究频率依赖性。在两种情况下,在时域和频域分析ASET的影响,(i)没有射频输入信号和(ii)有射频输入信号。在第一种情况下,将收集到的电荷(Qc)作为时域度量,第二种情况下,利用频谱图分析由于辐射打击而在基频中存在的干扰。基于质量控制,x波段使用的LNA比ka波段使用的LNA更脆弱。谱图结果表明,与ka波段的LNA相比,x波段的LNA输出谱对辐射打击的干扰更大、更强。
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引用次数: 0
Application and Assessment of Click Modular Firewall vs POX Firewall in SDN/NFV Framework 点击式模块化防火墙与POX防火墙在SDN/NFV框架中的应用与评估
Pub Date : 2020-11-16 DOI: 10.1109/TENCON50793.2020.9293713
Md Fahad Monir, Dan Pan
The evolution of Software Defined Networks (SDN) and Network Function Virtualization (NFV) introduced a revolutionary development in network architecture. SDN together with NFV provides users a platform to design flexible virtual networks (VNs) on a shared computer infrastructure. However, network administrators have specific requirements to secure this network. There are new security demands for VN such as flexible network function migrations and user-focused security system, which may not be supported by traditional firewalls. In our work we have implemented SDN and NFV based firewalls on an open source platform mininet. POX module and Click Modular Router are used to develop our firewall modules. Then we evaluated the performance of both firewalls with packet loss and throughput measurement.
软件定义网络(SDN)和网络功能虚拟化(NFV)的发展带来了网络架构的革命性发展。SDN和NFV为用户提供了一个在共享计算机基础设施上设计灵活的虚拟网络的平台。但是,网络管理员对该网络的安全性有特定的要求。传统防火墙可能不支持灵活的网络功能迁移和以用户为中心的安全系统,这对虚拟网络提出了新的安全需求。在我们的工作中,我们在开源平台mininet上实现了基于SDN和NFV的防火墙。使用POX模块和Click模块化路由器开发我们的防火墙模块。然后我们用丢包和吞吐量测量来评估这两种防火墙的性能。
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引用次数: 1
Development of an Automated Aquaponics System with Hybrid Smart Switching Power Supply 混合智能开关电源自动鱼菜共生系统的研制
Pub Date : 2020-11-16 DOI: 10.1109/TENCON50793.2020.9293853
Jerome Christian C. Egargue, Frederick A. Pacaigue, Raymund Glor F. Galicia, G. Magwili
This paper shows the design, construction, and implementation of an Automated Aquaponics system. Most of the commercial aquaponics system in the Philippines is grid-dependent thus making it cost-ineffective. The design of the system has three-part, hydroponics, aquaculture, and control systems. The design consists of a hybrid power supply that allows operation dependent on the grid or PV installations. Aside from integrating it to be partially dependent on renewable energy, the system was designed to adapt and adjust the monitored environment to be more habitable for the aquaculture. Through the use of relays, dump energy is also observed. Through the real-time monitoring system, the design allows users to record and system’s condition, power, energy consumption, and power supply dependency simultaneously.
本文展示了一个自动化鱼菜共生系统的设计、构造和实现。菲律宾的大多数商业鱼菜共生系统都依赖电网,因此成本不高。该系统的设计分为水培系统、养殖系统和控制系统三部分。该设计包括一个混合电源,允许依赖于电网或光伏装置的操作。除了将其整合为部分依赖可再生能源之外,该系统还旨在适应和调整监测环境,使其更适合水产养殖。通过使用继电器,还观察到转储能量。通过实时监控系统,用户可以同时记录系统的状态、电量、能耗、供电依赖等信息。
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引用次数: 1
Early Detection of Forest Fire using Deep Learning 利用深度学习进行森林火灾的早期检测
Pub Date : 2020-11-16 DOI: 10.1109/TENCON50793.2020.9293722
M. Rahul, Karnekanti Shiva Saketh, A. Sanjeet, Nenavath Srinivas Naik
Forest fires have become a serious threat to mankind. Besides providing shelter and protection to a large number of living beings, they have been a major source of food, wood, and a great supply of other products. Since ancient times forests have played an important role in social, economic, and religious activities and have enriched human life in a variety of ways both material and psychological. To protect our nature from these rapidly rising forest fires, we need to be cautious enough of every decision we take which could lead to a disastrous end, once and for all. So for the early detection of forest fires, we propose an image recognition method based on Convolutional Neural Networks (CNN). We have fine-tuned the Resnet50 architecture and added a few convolutional layers with ReLu as the activation functions, and a binary classification output layer which showed a huge impact on the training and test results when compared to the other SOTA methods like VGG16 AND DenseNet121. We achieved a training set accuracy of 92.27% and 89.57% test accuracy with a stochastic gradient descent optimizer and we have avoided the underfit/overfitting on the model with the help of the Stochastic Gradient Descent (SGD) algorithm.
森林火灾已经成为对人类的严重威胁。除了为大量生物提供住所和保护外,它们还是食物、木材和大量其他产品的主要来源。自古以来,森林就在社会、经济和宗教活动中发挥着重要作用,丰富了人类的物质和心理生活。为了保护我们的自然免受这些迅速上升的森林火灾的影响,我们需要对我们做出的每一个决定都足够谨慎,因为这些决定可能会导致灾难性的结局,一劳永逸。因此,为了早期发现森林火灾,我们提出了一种基于卷积神经网络(CNN)的图像识别方法。我们对Resnet50架构进行了微调,并添加了一些卷积层,其中ReLu作为激活函数,以及一个二进制分类输出层,与VGG16和DenseNet121等其他SOTA方法相比,它对训练和测试结果产生了巨大的影响。我们使用随机梯度下降优化器实现了92.27%的训练集准确率和89.57%的测试准确率,并使用随机梯度下降(SGD)算法避免了模型的欠拟合/过拟合。
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引用次数: 10
Time Domain Analysis of Class-D Amplifier Driving Series-Series and Series-Parallel Circuits d类放大器驱动串并联和串并联电路的时域分析
Pub Date : 2020-11-16 DOI: 10.1109/TENCON50793.2020.9293947
Sayan Sarkar, W. Ki
A class-D power amplifier (PA) powering a pair of resonant coils is studied. Time-domain analysis of the primary and the secondary sections inductor current with series-series (SS) and series-parallel (SP) resonance are derived, with either resistor or rectifier loads. Both the ripple and rectified output voltage of the secondary section are analyzed. Results are validated through extensive SPICE simulations. Analytical and simulated results are matched with better than 90% accuracy.
研究了一种为一对谐振线圈供电的d类功率放大器。推导了在电阻或整流负载下,具有串联谐振(SS)和串并联谐振(SP)的初级和次级电感电流的时域分析。对二次段的纹波和整流输出电压进行了分析。通过广泛的SPICE模拟验证了结果。分析结果与仿真结果吻合,准确率达90%以上。
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引用次数: 4
Novel Framework for Modelling High Speed Interface Using Python for Architecture Evaluation 用Python进行架构评估的高速接口建模新框架
Pub Date : 2020-11-16 DOI: 10.1109/TENCON50793.2020.9293846
Siddharth Katare
This paper presents a framework for modelling Serdes system, SymbaPy, based on Python scripting language along with efficient numerical computation libraries. This paper discusses the building blocks of Serdes to create a framework in Python for system models. The paper also discusses the features of Python language which makes it an adequate tool for modelling the Serdes. We also demonstrate application of this framework by creating a model for MIPI DPHY and CPHY which generates the eye-diagrams at different points in the communication chain.
本文提出了一个基于Python脚本语言和高效数值计算库的Serdes系统建模框架SymbaPy。本文讨论了Serdes的构建块,以便在Python中为系统模型创建框架。本文还讨论了Python语言的特性,这些特性使它成为对Serdes进行建模的合适工具。我们还通过为MIPI DPHY和CPHY创建模型来演示该框架的应用,该模型可以在通信链的不同点生成眼图。
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引用次数: 3
Genetic Algorithm-based Dark Channel Prior Parameters Selection for Single Underwater Image Dehazing 基于遗传算法的水下单幅图像去雾暗通道先验参数选择
Pub Date : 2020-11-16 DOI: 10.1109/TENCON50793.2020.9293849
Vincent Jan D. Almero, Ronnie S. Concepcion, Jonnel D. Alejandrino, A. Bandala, Jason L. Española, R. Bedruz, R. R. Vicerra, E. Dadios
Dehazing through Dark Channel Prior (DCP), originally developed for land-based images, has translated its potential for improving the quality of underwater images. However, the DCP default parameters, which are just adapted from land-based applications, may not be applicable for underwater images. Such constraint limits the capability of this restoration algorithm to improve the quality of an underwater image; the values of these parameters must be searched for each underwater image. A proposed approach on the parameter values assignment problem is to conduct an optimized search based on Genetic Algorithm. The presentation of this proposed approach focuses on the Genetic Algorithm processes: chromosome encoding, fitness function development, and selection, mutation, and crossover, to perform an effective search of the best solution out of a pool of possible solutions. Qualitative and quantitative evaluations show that utilization of optimized combination of DCP parameters, achieves images of higher quality in comparison to the utilization of established default DCP parameters.
通过暗通道先验(DCP)去雾,最初是为陆地图像开发的,已经转化为提高水下图像质量的潜力。但是,DCP的默认参数只是从陆基应用中调整而来,可能不适用于水下图像。这种约束限制了该恢复算法提高水下图像质量的能力;每个水下图像都必须搜索这些参数的值。针对参数值分配问题,提出了一种基于遗传算法的优化搜索方法。提出的方法侧重于遗传算法过程:染色体编码、适应度函数开发、选择、突变和交叉,以执行从可能的解决方案池中有效搜索最佳解决方案。定性和定量评价表明,与使用已建立的默认DCP参数相比,利用优化后的DCP参数组合获得的图像质量更高。
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引用次数: 6
HemoSmart: A Non-invasive, Machine Learning Based Device and Mobile App for Anemia Detection HemoSmart:一种无创、基于机器学习的贫血检测设备和移动应用程序
Pub Date : 2020-11-16 DOI: 10.1109/TENCON50793.2020.9293903
J. Jayakody, E. Edirisinghe
This paper presents a non-invasive method to detect Anemia (a low level of Hemoglobin) easily. The Hemoglobin concentration in human blood is an important substance to health condition determination. With the results which are obtained from Hemoglobin test, a condition which is called as Anemia can be revealed. Traditionally the Hemoglobin test is done using blood samples which are taken using needles. The non-invasive Hemoglobin measurement system, discussed in this paper, describes a better idea about the hemoglobin concentration in the human blood. The images of the finger- tip of the different hemoglobin level patients which are taken using a camera is used to develop the neural network-based algorithm. The pre-mentioned algorithm is used in the developed noninvasive device to display the Hemoglobin level. Before doing the above procedure, an account is created in the mobile app and a questionnaire is given to answer by the patient. Finally, both the results which are obtained from the mobile app and the device are run through a machine learning algorithm to get the final output. According to the result patient would be able to detect anemia at an early stage.
本文介绍了一种无创检测贫血(低水平血红蛋白)的方法。人体血液中血红蛋白浓度是测定健康状况的重要指标。根据血红蛋白试验的结果,可以发现一种叫做贫血的情况。传统上,血红蛋白检测是用针头采集血液样本来完成的。本文讨论的无创血红蛋白测量系统,对人体血液中的血红蛋白浓度有了更好的了解。利用相机拍摄的不同血红蛋白水平患者的指尖图像,开发了基于神经网络的算法。上述算法被用于开发的非侵入性设备显示血红蛋白水平。在进行上述程序之前,在移动应用程序中创建一个帐户,并给出一份调查问卷供患者回答。最后,从移动应用程序和设备中获得的结果都通过机器学习算法进行运行,以获得最终输出。根据检测结果,患者可以在早期发现贫血。
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引用次数: 6
Quantum Transport of Edge States in Zigzag Graphene NanoRibbon in the Presence of an Abrupt Structure Change due to Missing Atoms 缺失原子导致结构突变时之字形石墨烯纳米带边缘态的量子输运
Pub Date : 2020-11-16 DOI: 10.1109/TENCON50793.2020.9293723
Nazmul Amin, Mahbub Alam
In this article, the edge transport of Zigzag Graphene NanoRibbon (ZGNR) in the presence of an abrupt structure change due to missing atoms, which we define as ‘cut’ is studied through Non-Equilibrium Green’s Function formalism. Interesting results are found that are notably different for difference in the width of the ‘cut’. For ZGNR, depending on the width of the ‘cut’, the electrons can be fully transmitted (T = 1) or fully blocked (T = 0) in the device scattering region.
本文通过非平衡格林函数形式,研究了由于原子缺失(我们称之为“切割”)而导致结构突变时之字形石墨烯纳米带(ZGNR)的边缘输运。有趣的结果是,由于“切割”的宽度不同,结果明显不同。对于ZGNR,根据“切割”的宽度,电子可以在器件散射区完全透射(T = 1)或完全阻挡(T = 0)。
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引用次数: 0
期刊
2020 IEEE REGION 10 CONFERENCE (TENCON)
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