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2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)最新文献

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Prediction of Heart Disease using Dense Neural Network 用密集神经网络预测心脏病
Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938354
Akansha Singh, Anamika Jain
Heart disease are very common in humans because of their life style. It become life threatening when do not treated on time. So the early detection of heart disease has become very important. Many researchers have done a lot of research on the prediction of the heart disease. To minimize the risk of loosing life, we have proposed a Artificial neural network based method that can predict the heart disease in the early stages. The proposed method is tested over the publicly available UCI dataset. We have achieved 96.09% accuracy with the proposed method.
由于人类的生活方式,心脏病在人类中很常见。如果不及时治疗,就会危及生命。因此,心脏病的早期检测变得非常重要。许多研究人员对心脏病的预测进行了大量的研究。为了最大限度地降低患者的生命损失风险,我们提出了一种基于人工神经网络的心脏病早期预测方法。该方法在公开可用的UCI数据集上进行了测试。该方法的准确率达到96.09%。
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引用次数: 0
A Reduced Switch High Step Down Gain Bridgeless Coupled Switched Inductor SEPIC HPF AC-DC Converter for LVEVs Charging Applications 一种用于lev充电应用的低开关高降压增益无桥耦合开关电感SEPIC HPF AC-DC变换器
Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938328
Aswin Dilip Kumar, J. Gupta, Bhim Singh
A charger topology using a bridgeless coupled switched inductor configuration is demonstrated in this paper for battery charging of low voltage electric vehicles (LVEVs). In an attempt to obtain wide voltage gain (high step-down gain) between high AC input and low DC output (EVs battery packs), a bridgeless SEPIC topology, with reduced switch and a coupled switched inductor structure is designed, which is able to give good grid side as well as battery side performance. Unlike existing bridgeless configurations, the circulating current through anti-parallel diode of the switch during its non-conduction period is completely eliminated in the presented topology. The coupled switched inductor along with the operation of the inductors in discontinuous inductor current mode (DICM), further helps in decreasing the size of the magnetic components and hence the size of the charger as a whole. In contrary to many of the existing SEPIC high power factor (HPF) AC-DC converter based battery chargers, the topology presented in this work has continuous flow of current both at the input side and output side, thus reducing the need of large filters, as the ripple content is considerably low. The operation of the inductors in DICM, helps in implementing inherent power factor correction, and soft switching for the switches and diodes. Lastly, the design, operating modes, and performance of the charging circuitry are verified through simulation and corresponding results are discussed here for performance verification.
本文展示了一种使用无桥耦合开关电感配置的充电器拓扑结构,用于低压电动汽车(levs)的电池充电。为了在高交流输入和低直流输出(电动汽车电池组)之间获得宽电压增益(高降压增益),设计了一种无桥SEPIC拓扑结构,具有减少开关和耦合开关电感结构,能够提供良好的电网侧和电池侧性能。与现有的无桥结构不同,该拓扑结构完全消除了开关非导通期间通过反并联二极管的循环电流。耦合开关电感以及电感在不连续电感电流模式(DICM)下的操作,进一步有助于减小磁性元件的尺寸,从而减小充电器的整体尺寸。与许多现有的SEPIC高功率因数(HPF)交流-直流变换器电池充电器相反,这项工作中提出的拓扑结构在输入端和输出端都具有连续的电流,从而减少了对大型滤波器的需求,因为纹波含量相当低。DICM中电感的工作有助于实现固有功率因数校正,以及开关和二极管的软开关。最后,通过仿真验证了充电电路的设计、工作模式和性能,并对相应的结果进行了讨论,以进行性能验证。
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引用次数: 0
“Techno-commercial Analysis of Optical Disaggregation” 光学分解的技术-商业分析
Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938289
Girish Jere, Surendra Bhosale
There is significant cloud adoption in recent time. The data centers are increasingly disaggregated. The Capacity requirements are also growing with Internet of Things and upcoming 5G planned by operators. Over the Top Players (OTT) traffic is increasing. Above factors need more capacity and faster capacity addition to network infrastructure. Only way to meet this demand is use of technology Dense wave Division Multiplexing (DWDM). In this paper new models for connectivity which are gaining traction optical disaggregation is compared with currently deployed models. Optical Disaggregation is consisting of the separation of hardware and software. This paper explores the Optical Disaggregation Architectures and then investigates Optical Disaggregation key points to be considered for deployment using detailed Techno-Commercial analysis. For Technical analysis Multivendor Simulation is done using Open Simulation Software GNPy. The study compares two optical disaggregation options (partial vs Full). It summarizes application of the Optical disaggregation architecture from Network position perspective.
最近,云计算的应用非常广泛。数据中心越来越分散。随着物联网和运营商计划的即将到来的5G,容量需求也在增长。OTT (Over Top Players)流量正在增加。以上因素需要更多的容量和更快的网络基础设施容量添加。满足这种需求的唯一途径是使用密集波分复用技术(DWDM)。本文比较了近年来备受关注的新型光分解连通性模型和现有模型。光分解包括硬件和软件的分离。本文探讨了光分解体系结构,然后通过详细的技术-商业分析探讨了部署时需要考虑的光分解要点。对于技术分析,采用开放仿真软件GNPy进行多厂商仿真。该研究比较了两种光学分解选项(部分和完全)。从网络位置的角度总结了光分解架构的应用。
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引用次数: 0
Ethereum Blockchain Based Logistics Application for Smart Supply Chain Management 基于以太坊区块链的物流智能供应链管理应用
Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938171
Tejdeep Sai Iddum, Shreyas Sahu, R. Sujatha, C. V. R. Kumar
In recent years, compared to traditional supply chain systems Blockchain technology provides countless opportunities and potential to improve and develop the framework in a supply chain management model. We developed a client-side application which acts as a supply chain management platform built using Blockchain technology and Web3-net that provides access to cutting-edge services which include inventory tracking, order placement and product attribute information log. Cryptocurrency transactions are stored on a shared, digital ledger called a blockchain. This decentralized technology is spread across many computers and records every transaction. The platform provides secure and authentic information to its users at all stages using a decentralized app or DAPP which we have developed to ensure a seamless experience for verifying and maintaining data regarding all inventory parts and orders. This paper gives a model demonstration of the implementation of Blockchain Technology at the industry level. However, additional functionalities can be added in the future with enhanced compatibility.
近年来,与传统的供应链系统相比,区块链技术为改进和发展供应链管理模式框架提供了无数的机会和潜力。我们开发了一个客户端应用程序,它作为一个供应链管理平台,使用区块链技术和Web3-net构建,提供访问尖端服务,包括库存跟踪,订单放置和产品属性信息日志。加密货币交易存储在一个名为区块链的共享数字分类账上。这种分散的技术分布在许多计算机上,记录每笔交易。该平台使用我们开发的分散应用程序或DAPP在各个阶段为用户提供安全和真实的信息,以确保验证和维护所有库存部件和订单数据的无缝体验。本文给出了区块链技术在工业层面实施的模型论证。但是,将来可以通过增强兼容性添加其他功能。
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引用次数: 1
Integration of Photovoltaic with Series/Parallel Connection of Batteries using Modified Johnson Converter 利用改进型约翰逊变流器实现光伏与电池串并联的集成
Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938235
Shubha Agrawal, B. S. Reddy, L. Umanand
The present investigation shows the application of a modified Johnson converter for battery charging. The modified Johnson converter can provide the voltage gain of either polarity for different duty ratio ranges. Another advantage of this converter is that it can be used for both stepped up and stepped down output voltage. After analyzing the converter in non-ideal modes of operation, the design aspects for the inductor and capacitor were looked into details. A closed-loop controller is developed using various transfer functions. The hardware results of the converter are shown using a DC voltage source and resistive load. The integration of photovoltaic and batteries using a modified Johnson converter is the highlight of the present investigation. For this integration, a PI controller for current reference control is designed. The step up and step down profile of output voltage is used for charging the batteries in series or parallel. Simulation studies show the charging of the batteries of 96V and 12V, while PV is sourcing power at the maximum power point. The hardware result of the studies is in progress.
本文研究了一种改进型约翰逊变换器在电池充电中的应用。改进的约翰逊变换器可以在不同占空比范围内提供任意极性的电压增益。这种转换器的另一个优点是它可以用于升压和降压输出电压。通过对变换器非理想工作模式的分析,对电感和电容的设计进行了详细的探讨。利用各种传递函数设计了闭环控制器。用直流电压源和阻性负载显示了变换器的硬件结果。利用改进的约翰逊变流器集成光伏和电池是目前研究的重点。为此,设计了电流参考控制的PI控制器。输出电压的升压和降压曲线用于串联或并联蓄电池充电。仿真研究表明,96V和12V电池充电时,PV在最大功率点供电。研究的硬件结果正在进行中。
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引用次数: 0
Computational Analysis of Natural Compounds as Cyclin-Dependent Kinase-5 Inhibitors for Alzheimer's and Parkinson's Disease 作为阿尔茨海默病和帕金森病周期蛋白依赖性激酶-5抑制剂的天然化合物的计算分析
Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938169
Dia Advani, Pravir Kumar
Deregulation of cyclin-dependent kinase-5 is a hallmark of different neurodegenerative disorders, including Alzheimer's and Parkinson's disease. Herein, we have screened different natural compounds with anticancer properties against cyclin-dependent kinase-5 enzyme. The blood-brain barrier permeability and pharmacokinetic analysis, including various descriptors, screened 27 natural compounds. The docking of candidate compounds identified 3 compounds with good docking energies and stable interactions when compared to the reference drug roscovitine. Further, molecular dynamics simulation analysis including root mean square deviation, root mean square fluctuation, the radius of gyration and binding energies for 50ns revealed two compounds. Overall, we recommend two natural products apigenin and salvianolic acid as candidate inhibitors to target cyclin-dependent kinase-5 for treating Alzheimer's and Parkinson's disease.
周期蛋白依赖性激酶-5的失调是不同神经退行性疾病的标志,包括阿尔茨海默病和帕金森病。在这里,我们筛选了不同的天然化合物抗癌性质对周期蛋白依赖性激酶-5酶。血脑屏障通透性和药代动力学分析,包括各种描述符,筛选27种天然化合物。候选化合物的对接鉴定出3个与参比药物罗斯科维汀相比具有良好对接能和稳定相互作用的化合物。分子动力学模拟分析包括均方根偏差、均方根波动、旋转半径和50ns结合能。总之,我们推荐两种天然产物芹菜素和丹酚酸作为靶向细胞周期蛋白依赖性激酶-5的候选抑制剂,用于治疗阿尔茨海默病和帕金森病。
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引用次数: 0
Regression based Prediction of Rainfall for Energy Management in a Rural Islanded Micro-Hydro Grid in Kerala 喀拉拉邦农村岛屿微水电电网能源管理降雨回归预测
Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938353
Vipina Valsan, A.M. Abhishek Sai, A. R. Devidas, M. Ramesh
Rural development is one of the primary goals in developing nations like India since more than 70 percent of the population lives in rural villages. This paper aims to develop and implement an effective energy management strategy for a stand-alone Amrita Micro-Hydro Power Plant(AMHPP) set up in a remote tribal community in Kerala. The Energy management strategy is implemented by the development of regression-based machine learning models for the prediction of rainfall, thereby deriving the water flow rate and power generation at AMHPP. Five regression-based machine learning models were compared to find the optimal model to increase the asset utilization of the hydro-micro grid system. The performance of prediction models based on daily and monthly data is assessed using the correlation coefficient (R), mean absolute error (MAE), and root mean square error (RMSE). In terms of the various types of regression, including linear, lasso, ridge, XGBoost, and elastic net, the machine learning technique XGBoost regression produced a comparably accurate prediction model. The proposed energy management strategy based on the XGBoost regression model can increase the micro-hydro system's real-time power utilization efficiency w $mathbf{h}$ ile balancing the available hyd $mathbf{r}$ oenergy and load management for the micro-grid system.
农村发展是印度等发展中国家的主要目标之一,因为超过70%的人口生活在农村。本文旨在为在喀拉拉邦一个偏远部落社区建立的一个独立的Amrita微型水力发电厂(AMHPP)制定和实施一个有效的能源管理战略。能源管理策略是通过开发基于回归的机器学习模型来实现的,该模型用于预测降雨,从而得出AMHPP的水流量和发电量。通过对5种基于回归的机器学习模型进行比较,找出提高水电微网系统资产利用率的最优模型。使用相关系数(R)、平均绝对误差(MAE)和均方根误差(RMSE)评估基于日和月数据的预测模型的性能。对于各种类型的回归,包括线性回归、套索回归、脊回归、XGBoost回归和弹性网回归,机器学习技术XGBoost回归产生了相对准确的预测模型。提出的基于XGBoost回归模型的能量管理策略能够在平衡微电网系统可用能量和负荷管理的基础上,提高微水电系统的实时电力利用效率。
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引用次数: 2
Design of an Isolated Gate Driver for Medium Voltage Cascaded H-Bridge (CHB) Based Solid State Transformer (SST) 中压级联h桥固态变压器(SST)隔离栅驱动器的设计
Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938157
Surja Sekhar Chakraborty, D. Saravanan, S. Bhawal, K. Hatua
The design of an isolated gate driver for a Medium Voltage (MV) Cascaded H-bridge (CHB) converter is proposed in this paper. Isolation with proper electrical insulation and a low common-mode coupling capacitance are considered as the primary design criteria while designing the gate driver. A detailed circuit analysis has been carried out to find the isolation issues in the MV CHB converters, which necessitates a 2ndstage of isolation in the gate driver circuit. Apart from improving the isolation voltage level, the additional isolation stage helps to reduce the coupling capacitance in the common mode path. As the device count for an MV CHB converter is significantly high, the complementary pulses have been generated locally in a CPLD-based delay card, which reduces the count of the optical cables and the associated components. It helps to make the system simple and cost effective. Finally, the design of the proposed gate drivers and associated delay cards are verified in a hardware prototype of 1.65kV/300V, 10kVA Solid State Transformer (SST).
提出了一种用于中压级联h桥变换器的隔离栅驱动器的设计。在设计栅极驱动器时,采用适当的电绝缘隔离和低共模耦合电容是主要的设计标准。通过详细的电路分析,找出了中压CHB变换器存在的隔离问题,需要在栅极驱动电路中进行二级隔离。除了提高隔离电压水平外,额外的隔离级还有助于降低共模路径中的耦合电容。由于中压CHB转换器的器件数量非常高,因此互补脉冲在基于cpld的延迟卡中本地产生,从而减少了光缆和相关元件的数量。它有助于使系统简单和经济有效。最后,在1.65kV/300V, 10kVA固态变压器(SST)的硬件样机中验证了所提出的栅极驱动器和相关延迟卡的设计。
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引用次数: 1
Dipeptide Constituting Oppositely Charged Amino Acids as Molecular Rectifier 二肽构成带相反电荷的氨基酸作为分子整流器
Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938256
G. Sikri, R. Sawhney
In order to explore peptides for future electronics applications, we have elucidated two different dipeptides consisting of positively charged and negatively charged amino acids namely Histidine-Aspartic and Histidine-Glutamic using NEGF-DFT approach. These two different molecules are bridged within three distinct but symmetrical electrodes of Au, Ag and Cu thereby forming six molecular devices. The Au-His-Glu-Au and Au-His-Asp-Au molecular devices offer the highest rectification ratio of 13.53 and 8.38, respectively. Similarly, Ag-His-Glu-Ag and Au-His-Asp-Au molecular devices offer the most significant negative differential resistance regime with peak to valley current ratio of 1.66 and 1.34, respectively.
为了探索未来电子应用的肽,我们利用NEGF-DFT方法阐明了两种不同的二肽,由正电荷和负电荷氨基酸组成,即组氨酸-天冬氨酸和组氨酸-谷氨酸。这两种不同的分子在三个不同但对称的Au, Ag和Cu电极内桥接,从而形成六个分子器件。Au-His-Glu-Au和Au-His-Asp-Au分子器件的精流比最高,分别为13.53和8.38。同样,Ag-His-Glu-Ag和Au-His-Asp-Au分子器件提供了最显著的负差分电阻,峰谷电流比分别为1.66和1.34。
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引用次数: 3
A Comparison Between Screen-Return and Trace-Return PCB Rogowski Coils for SiC Power Modules SiC功率模块屏回与迹回PCB Rogowski线圈的比较
Pub Date : 2022-09-23 DOI: 10.1109/GlobConPT57482.2022.9938167
Sambeet Panigrahi, S. Pramanick
PCB Rogowski Coils (PCBRCs) are becoming increasingly popular as a switch current sensor for SiC Power modules in applications such as overcurrent protection, peak current mode control, and junction temperature estimation. In order to increase the PCBRC's noise immunity in the presence of electromagnetic interference, a compensation structure is necessary. This paper compares a screen-return and a trace-return PCBRC compensation structure. Trade-offs in sensitivity and bandwidth are discussed when fabricating both designs on a four-layer PCB stack-up. The noise immunity of both the compensation structures is evaluated with the aid of theoretical models and experimental data.
PCB Rogowski线圈(PCBRCs)作为SiC电源模块的开关电流传感器,在过流保护、峰值电流模式控制和结温估计等应用中越来越受欢迎。为了提高PCBRC在电磁干扰下的抗扰性,必须采用补偿结构。本文比较了屏回和迹回的PCBRC补偿结构。当在四层PCB堆叠上制造这两种设计时,讨论了灵敏度和带宽的权衡。通过理论模型和实验数据对两种补偿结构的抗噪性进行了评价。
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引用次数: 0
期刊
2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)
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