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2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)最新文献

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Structural analysis of 1.1kV 4H-SiC Power DMOSFETs and it's susceptibility to high temperature 1.1kV 4H-SiC功率dmosfet结构分析及其高温敏感性
Prabhupada Samal, V. K. Bhajana, S. K. Mohapatra
The paper describes, the structural and temperature analysis of 4H-SiC DMOSFET (Double-implanted metal-oxide-semiconductor field-effect-transistor). The SiC based DMOSFETs are most preferred switching devices for high power conversion because of its high carrier mobility and low dopant ionization energy. The current flow is in vertical direction i.e from source in the top to the drain in the bottom, rather than the horizontal direction as in Si MOSFETs. The thickness of drift layer may increase/decrease the off state blocking voltage range. This paper mainly describes the on-state characteristic, specific on-resistance and blocking voltage of DMOSFET under different temperatures. The simulation was performed using Synopsys TCAD tool and we obtained a blocking voltage of 1.1 kV at 26 °C, with the increase in temperature there was an gradual decrease in the blocking voltage range.
介绍了4H-SiC双植入金属氧化物半导体场效应晶体管(DMOSFET)的结构和温度分析。基于SiC的dmosfet由于其高载流子迁移率和低掺杂电离能而成为高功率转换的首选开关器件。电流流是垂直方向的,即从顶部的源极到底部的漏极,而不是像Si mosfet中那样的水平方向。漂移层的厚度可以增大/减小关断电压范围。本文主要描述了DMOSFET在不同温度下的导通特性、比导通电阻和阻断电压。使用Synopsys TCAD工具进行仿真,在26°C时获得了1.1 kV的阻断电压,随着温度的升高,阻断电压范围逐渐降低。
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引用次数: 1
CMOS temperature sensor using a current starved ring oscillator for low power and low leakage IOT applications CMOS温度传感器采用电流饥渴环振荡器,用于低功耗和低漏物联网应用
Arindam Das, R. Prasad, Mohita, Arijoy Mondal, K. R. Ranjan
This paper presents a CMOS temperature sensor working at sub-threshold voltage (Sub-VTh) for ultra low power applications. The sensor consists of a proportional-to-absolute-temperature (PTAT) current element that starves a current starved ring oscillator (CSRO). Since the circuit is designed in Sub-VTh, it enables ultra low power applications. But at the same time it becomes highly vulnerable to variations due to changes in process thereby resulting circuit currents to vary from die to die. An architecture is proposed where a bit-weighted current mirror (BWCM) is incorporated with CSRO to mitigate the effect due to process variations in the PTAT current. Lastly we have integrated the CSRO with a frequency to digital converter that converts the oscillator output signal into digital bits. Designing of the temperature sensor system is done in 180nm CMOS technology. The output frequency of the CSRO was found to be 50 Mhz. The sensor is operated at a VDD of 0.2V and the power consumed is 3.75 pW.
本文提出了一种工作在亚阈值电压(Sub-VTh)下的超低功耗CMOS温度传感器。该传感器由一个比例绝对温度(PTAT)电流元件组成,该元件需要一个电流饥渴环振荡器(CSRO)。由于电路是在Sub-VTh中设计的,因此它可以实现超低功耗应用。但与此同时,由于工艺的变化,它变得非常容易受到变化的影响,从而导致电路电流因芯片而异。提出了一种将位加权电流镜(BWCM)与CSRO相结合的结构,以减轻由于PTAT电流的工艺变化所造成的影响。最后,我们将CSRO与频率数字转换器集成,该转换器将振荡器输出信号转换为数字位。温度传感器系统采用180nm CMOS工艺设计。发现CSRO的输出频率为50 Mhz。传感器工作电压为0.2V,功耗为3.75 pW。
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引用次数: 2
Analysis of nucleation and growth parameter of silver nanoparticles for sensors 传感器用纳米银的成核和生长参数分析
V. Prakash, J. Pawar, A. Patel, Rabinder Henry, A. Patwardhan
Synthesis of Silver nanoparticles using silver nitrate as metal salt precursor and citric acid as reducing agent is being reported in this paper. Using Spectroscopy, silver nanoparticles nucleation and growth parameter has been analyzed. Absorption spectra of silver nanoparticles in water are determined. Absorption spectra shows two absorption peaks while crystal was growing, whereas fully grown crystal shows single absorption peak confirms heterogeneous crystal growth in liquid medium and average size distribution of silver nanoparticles.
本文报道了以硝酸银为金属盐前驱体,柠檬酸为还原剂合成纳米银的方法。利用光谱学,对银纳米粒子的成核和生长参数进行了分析。测定了纳米银在水中的吸收光谱。晶体生长过程中的吸收光谱显示出两个吸收峰,而完全生长的晶体显示出单个吸收峰,这证实了晶体在液体介质中的非均匀生长和银纳米颗粒的平均尺寸分布。
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引用次数: 5
Effect of surface-to-volume ratio on eigenenergy in quantum disk in presence of magnetic field 磁场作用下量子盘表面体积比对本征能的影响
S. Bhattacharyya, Sourish Haldar, A. Deyasi
Lowest three quantum states of AlxGa1−xAs quantum disk is analytically computed as a function of surface-to-volume ratio when the structure is subjected to transverse magnetic field. Calculation is carried out from the first and second order Bessel functions obtained from the solution of time-independent Schrödinger equation subject to appropriate boundary conditions. Result is computed by considering Kane-type first order nonparabolic dispersion relation, and is compared with that obtained for simplified parabolic band structure. Comparison is also made with the energy states obtained when field is absent, and also for different material compositions and structural parameters. Nonlinear variation of subband transition energy is observed with increasing S/V ratio, i.e., with reduction of dimension. Result indicates possible application of the nano-device as IR detector.
在横向磁场作用下,解析计算了AlxGa1−xAs量子盘的最低三个量子态与表面体积比的关系。在适当的边界条件下,由时间无关Schrödinger方程的解得到的一阶和二阶贝塞尔函数进行计算。考虑kane型一阶非抛物色散关系计算了结果,并与简化抛物带结构的结果进行了比较。并与无场、不同材料成分和结构参数下得到的能态进行了比较。子带跃迁能量随信噪比的增大,即随维数的减小而发生非线性变化。结果表明了该纳米器件作为红外探测器的应用前景。
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引用次数: 1
Classification of EEG Signals for Prediction of Seizure using Multi-Feature Extraction 基于多特征提取的脑电信号分类预测癫痫发作
Tarak Das, Arijit Ghosh, S. Guha, Piyali Basak
Pre-diagnosis of epileptic seizure using electroencephalogram (EEG) signals detecting seizure activity automatically using electroencephalogram (EEG) signals is of great importance and significance. Recording and reviewing of entire length of EEG is used to analyse epileptic activity by an expert. The classical method thus being a tedious task many intelligent automatic seizure detection schemes have been realised. Non linear approaches depict greater accuracy and have much higher significance. Our work focusses on obtaining a matrix of multi feature dimension including Brownian motion, Mean Absolute Value and Root Mean Square as key features. Features obtained from artefact free EEG signal are fed to intelligent classifiers in order to obtain the accuracy specificity and sensitivity values. Our proposed approach yields an overall accuracy of 74.78% for SVM, 89.13% for Weighted KNN and 91.09% for Ensemble Bagged Tree classifier. The ROC curve obtained by plotting the true positive rate against the false positive rate also shows significant region of convergence for the classifiers. This method can be utilised in designing intelligent seizure prediction systems.
利用脑电图(EEG)信号自动检测癫痫发作活动具有重要的意义。专家通过记录和回顾脑电图的整个长度来分析癫痫活动。因此,经典方法是一项繁琐的任务,许多智能自动检测方案已经实现。非线性方法的描述精度更高,意义也更大。我们的工作重点是获得一个包含布朗运动、平均绝对值和均方根为主要特征的多维特征矩阵。将无伪信号的脑电信号特征输入到智能分类器中,得到分类器的准确率、特异性和灵敏度值。我们提出的方法对SVM的总体准确率为74.78%,加权KNN的总体准确率为89.13%,集成袋树分类器的总体准确率为91.09%。通过绘制真阳性率和假阳性率得到的ROC曲线也显示了分类器的显著收敛区域。该方法可用于癫痫发作智能预测系统的设计。
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引用次数: 12
A comparative study of different multilevel inverters 不同多电平逆变器的比较研究
Gautam Ghosh, S. Sarkar, Shamik Mukherjee, Tiyasa Pal, S. Sen
The ordinary Voltage source inverter (VSI) has two output levels +VDC/2 and -VDC/2. For medium and high power applications, multi-stage VSI (series and/or parallel combinations) with suitable filter (for obtaining near sinusoidal waveform at the output) may be a solution but there are problems in matching of different stages, selection of bulky transformer and proper filter. The quality of both the output voltage and current waveforms with minimum ripple is obtained using high frequency switching along with various PWM techniques. These conventional two level inverters have some limitations in operating at high frequencies mainly due to switching losses and constraints in device rating. The problem is resolved by means of multilevel inverters (MLIs) which utilize lower switching frequencies and give high voltages with improved total harmonic distortion (THD) without use of filter. This paper gives a brief review on different MLI techniques with advantages and disadvantages of each technique. The main disadvantages of MLI are requirement for isolated power supplies, design complexity and switching control circuits for proper elimination of lower order harmonics.
普通电压源逆变器(VSI)有+VDC/2和-VDC/2两个输出电平。对于中大功率应用,带合适滤波器(用于在输出处获得近正弦波形)的多级VSI(串联和/或并联组合)可能是一种解决方案,但在不同级的匹配、大型变压器的选择和合适的滤波器方面存在问题。利用高频开关和各种PWM技术,可以获得纹波最小的输出电压和电流波形。由于开关损耗和器件额定值的限制,这些传统的双电平逆变器在高频率下工作有一定的局限性。多电平逆变器(mli)利用较低的开关频率和高电压,改善了总谐波失真(THD),而不使用滤波器,从而解决了这个问题。本文简要介绍了不同的MLI技术,以及每种技术的优缺点。MLI的主要缺点是需要隔离电源、设计复杂和开关控制电路以适当消除低阶谐波。
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引用次数: 10
Irrigation management system with micro-controller application 灌溉管理系统与单片机的应用
Prateek Jain, Prakash P. Kumar, D. K. Palwalia
This paper presents optimized irrigation scheme using automatic water control for performing crop specific irrigation activities. Level of irrigation depends on soil moisture content and type of crop considered. Different crops need different soil moisture for optimum crop yield. For optimum crop yield, smart irrigation, knowledge of soil condition, and water requirement of crop is essential. Optimal usage of water reduces overall power consumption and optimizes usage of water reserves. Smart usage of irrigation system optimizes land area productivity and conserves nature by reducing overall involved emission & losses in conversion components. Low cost microcontroller like Arduino based interfacing unit, has been used in this paper to obtain low cost smart irrigation solution.
本文提出了利用水分自动控制进行作物特定灌溉活动的优化灌溉方案。灌溉水平取决于土壤含水量和所考虑的作物类型。不同的作物需要不同的土壤湿度才能获得最佳产量。为了获得最佳的作物产量,智能灌溉、土壤条件和作物需水量的知识是必不可少的。水的最佳使用减少了总电力消耗,并优化了水储备的使用。灌溉系统的智能使用优化了土地面积的生产力,并通过减少转换组件的总体排放和损失来保护自然。本文采用基于Arduino接口单元的低成本单片机,获得了低成本的智能灌溉解决方案。
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引用次数: 17
Convolutional Neural Network based face detection 基于卷积神经网络的人脸检测
S. Mukherjee, Sumalya Saha, S. Lahiri, Ayan Das, A. Bhunia, Aishik Konwer, Arindam Chakraborty
In this paper, we discuss and analyze two different paradigm of techniques for face detection in images containing human. We discuss the formulation for both the methods, i.e., using hand-crafted features followed by training a simple classifier and an entirely modern approach of learning features from data using neural network. We discussed the theoretical advantages of the special kind of neural network we used, i.e., Convolutional Neural Network. Lastly we ran both the methods to FDDB face detection dataset and provided some qualitative results.
在本文中,我们讨论和分析了两种不同的范式的人脸检测技术的图像包含人。我们讨论了这两种方法的公式,即使用手工制作的特征,然后训练一个简单的分类器,以及使用神经网络从数据中学习特征的完全现代的方法。我们讨论了我们使用的特殊类型的神经网络的理论优势,即卷积神经网络。最后将两种方法应用于FDDB人脸检测数据集,得到了一些定性结果。
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引用次数: 10
JAVA-GUI based package for calcualting bandwidth and ripple of 1D PhC based filter 基于JAVA-GUI的一维PhC滤波器带宽和纹波计算包
R. Mukherjee, Pritam Dutta, Dibyaduti Gorai, Soumen Santra, A. Deyasi
A novel package in JAVA-GUI platform is developed for the end-users to compute the figure of merit of the 1D PhC based bandpass filter designed at 1.55 μm. Optimization procedure is made to increase bandwidth and reduce ripple for a set of structural parameters, and the effect of the filter transmittivity profile is also simultaneously measured. A new algorithm is developed for the purpose which will help the user to study prior to fabrication whether the proposed structure will meet the requirements of application. This package can also be applicable with the various materials having positive refractive indices already used to design PhC based filter.
在JAVA-GUI平台上开发了一个新颖的包,供最终用户计算设计为1.55 μm的基于一维PhC的带通滤波器的优值。对一组结构参数进行了增大带宽和减小纹波的优化处理,同时测量了滤波器透过率曲线的影响。为此开发了一种新的算法,可以帮助用户在制造之前研究所提出的结构是否符合应用要求。该封装也可以适用于各种具有正折射率的材料,已经用于设计基于PhC的滤波器。
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引用次数: 0
Performance estimation of photonic crystal based butterworth filter at higher temperature due to joule heat dissipation 基于焦耳散热的光子晶体巴特沃斯滤波器在高温下的性能评估
Meenakshi Banerjee, Trinisa Ghorai, Romi Dey, Arpita Das, A. Deyasi
In this paper, effect of temperature due to Joule heat dissipation in the optoelectronic circuit on the transmittivity and ripple in passband of the optical filter is analytically computed for normal incidence of electromagnetic wave. The filter is made by photonic crystal with semiconductor heterostructure as the unit of periodic structure, and transfer matrix technique is used to determine the transmittivity of the filter around 1550 nm. Result suggests that external temperature has a great influence on the ripple in the desired passband as well as the structural parameters; and hence performance of this type of filter will greatly depend on the circuit conditions. However, bandwidth of the device remains unaffected in the temperature range considered. Results are useful for utilizing the device in all-optical integrated circuit and also to fabricate Bragg grating based sensor.
本文对正入射电磁波时,光电电路焦耳散热温度对滤光片透射率和通带纹波的影响进行了解析计算。该滤波器由以半导体异质结构为周期结构单元的光子晶体制成,利用传递矩阵技术测定了该滤波器在1550 nm左右的透过率。结果表明,外部温度对期望通带的纹波和结构参数有很大的影响;因此,这种滤波器的性能在很大程度上取决于电路条件。但是,在考虑的温度范围内,设备的带宽不受影响。研究结果对该器件在全光集成电路中的应用以及基于Bragg光栅的传感器的制作具有指导意义。
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引用次数: 0
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2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)
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