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2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)最新文献

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Sliding Mode Controlled IDBHCC for Single phase LC filter PWM Inverter 单相LC滤波PWM逆变器的滑模控制IDBHCC
Neha Singh, S. Jena, C. Panigrahi
This paper describes a detailed model of nonlinear current control techniques. It mainly concentrates on Double Band Hysteresis Current controller (DBHCC) and an improved version of it called IDBHCC for one phase Grid Connected Voltage Source Inverter (GCVSI).LC filter has been used in the inverter to eliminate grid current error. In Combination with DBHCC and IDBHCC, Sliding Mode Control (SMC) has been used to generate inverter pulses. The results are verified through MATLAB simulation.
本文描述了非线性电流控制技术的详细模型。本文主要研究双带迟滞电流控制器(DBHCC)及其改进版本IDBHCC,用于单相并网电压源逆变器(GCVSI)。在逆变器中采用LC滤波器来消除电网电流误差。与DBHCC和IDBHCC相结合,滑模控制(SMC)被用于产生逆变脉冲。通过MATLAB仿真对结果进行了验证。
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引用次数: 0
A Comparative Study of Short Channel Effects in 3-D FinFET with High-K Gate Di-electric 三维高k栅极双电FinFET短沟道效应的比较研究
R. M. Asif, S. Rehman, A. Rehman, M. Bajaj, S. Choudhury, T. Dash
With the advancement of Semiconductor Technology, FinFET replaces MOSFET. It is one of the frontier devices due to suppressed short channel effects, outstanding performance for high-frequency applications, and better power control. This paper proposed a FinFET structure with different analytical models for drain-current, channel charge, and velocity. The dielectric materials of different underlap lengths for gate oxide have been implemented and compared their performance for SCE. The short channel effects for dielectric materials SiO2, and Al2O3 are also examined. The critical parameters such as threshold gate voltages and drain current, including short channel effects have been evaluated using the proposed model. The transfer and output characteristics have been shown. FinFET with high-k dielectric shows higher Ion/Ioff ratio and reduced threshold voltage. These results validate the proposed model to reduce the SCE.
随着半导体技术的进步,FinFET取代了MOSFET。它具有抑制短通道效应、高频应用性能突出、功率控制好等优点,是前沿器件之一。本文提出了一种具有漏极电流、通道电荷和速度等不同分析模型的FinFET结构。设计了不同搭接长度的栅极氧化物介质材料,并比较了它们在SCE中的性能。对介电材料SiO2和Al2O3的短通道效应也进行了研究。利用所提出的模型对阈值门电压和漏极电流等关键参数,包括短通道效应进行了评估。给出了传输特性和输出特性。具有高k介电介质的FinFET具有更高的离子/开关比和更低的阈值电压。这些结果验证了所提出的模型可以降低SCE。
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引用次数: 2
Smart Shopping Trolley Using Raspberry Pi 使用树莓派的智能购物车
Dinika D. Pradhan, S. Mali, Ashwini Ubale, M. Sardeshmukh, Swapnalini Pattnaik, Puja Bajirao Sindhe
Regardless of the vicinity of E-business for the fulfillment of needs, individuals purchase numerous items from the markets and different shopping centers. According to our review, hard cash and normal time spent on every client is high, particularly in packaged grocery stores. The business people are ready to accept any machines which technologize the billing process to abate both labor cost and time spent. The main aim of the smart shopping trolley system is to fulfill the needs of the client as well as reduce the time spent on the billing procedure instead of waiting in a line or queue for a couple of items. The proposed system helps individual customers to get the actual bill after any discount or deduction of their purchase. Customers have to log in to their account for billing and pay the bill using any digital payment method. This system is developed by considering security for avoiding robbery and this system is also user-friendly. It minimizes the time in purchasing and making free to the customer by standing in a long queue by ensuring the customer comfort and minimizing the headache of barcode scanning and eliminating waging of billers, thereby accomplishing both customer and shopkeeper demands.
不管电子商务是否临近,为了满足需求,人们从市场和不同的购物中心购买大量的商品。根据我们的审查,花在每个客户身上的现金和正常时间都很高,尤其是在包装好的杂货店。业务人员已准备好接受任何使计费过程技术化以减少人工成本和时间花费的机器。智能购物车系统的主要目的是满足客户的需求,并减少在结账过程中花费的时间,而不是排队等待几件商品。该系统将帮助个人消费者在购买商品后获得任何折扣或扣减后的实际账单。客户必须登录自己的账户进行结算,并使用任何数字支付方式支付账单。本系统的开发充分考虑了防范抢劫的安全性,并且具有良好的用户界面。在保证顾客舒适的前提下,最大限度地减少了顾客的购买和免费排队时间,最大限度地减少了扫描条码的麻烦,消除了收银员的骚扰,从而实现了顾客和店主的双重需求。
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引用次数: 1
An Adaptive Hybrid Particle Swarm Optimizer for Constrained Optimization Problem 约束优化问题的自适应混合粒子群优化算法
Tejna Khosla, O. Verma
Particle Swarm Optimization (PSO) is a well-known nature-inspired algorithm that is inspired by the social behavior of bird flocking and fish schooling. It has proved efficient in solving real-time problems due to its simplicity and good exploitation ability. However, due to poor exploration of search space, PSO gets trapped in local optima and gives less accurate results. On the other hand, Butterfly Optimization Algorithm (BOA) is good in exploration but converges slowly. This paper proposes a novel hybrid based on PSO and BOA, namely PSOBOA with few improvements based on the advantage and uniqueness of these algorithms. Firstly, a parameter-free penalty function is used to handle constraint violations so that the search process does not slacken when handling the constraints. Secondly, a self-adaptive approach has been adopted in PSO as well as BOA to ensure a smooth transition from exploration to exploitation, and no user interference. Thirdly, to improve the convergence rate and avoid local optima stagnation, a conditional approach has been used in the local and global search of BOA. The proposed algorithm PSOBOA overcomes the shortcomings of PSO and BOA and maximizes the performance. It is applied to solve structural optimization problems, such as pressure vessel design and welded-beam design problem, where the objectives, decision variables, and constraints are different. The experimental results and the convergence curves demonstrate better optimization performance of PSOBOA compared with quite a few state-of-the-art algorithms.
粒子群算法(Particle Swarm Optimization, PSO)是一种著名的受自然启发的算法,它的灵感来自于鸟群和鱼群的社会行为。该方法简单,开发能力强,在解决实时问题方面具有较高的效率。然而,由于对搜索空间的探索能力差,粒子群算法陷入局部最优,结果精度较低。另一方面,蝴蝶优化算法(BOA)具有较好的探索性,但收敛速度较慢。本文基于PSO算法和BOA算法的优点和唯一性,提出了一种新的基于PSOBOA算法的混合算法,即改进较少的PSOBOA算法。首先,使用无参数惩罚函数处理约束违规,使搜索过程在处理约束时不会松弛;其次,在PSO和BOA中采用自适应方法,保证了从勘探到开发的平稳过渡,不受用户干扰。第三,为了提高收敛速度和避免局部最优停滞,在BOA的局部和全局搜索中采用了有条件的方法。提出的PSOBOA算法克服了PSO算法和BOA算法的缺点,使性能达到最大。该方法适用于求解目标、决策变量和约束条件不同的结构优化问题,如压力容器设计和焊接梁设计问题。实验结果和收敛曲线表明,PSOBOA算法的优化性能优于许多现有算法。
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引用次数: 0
Multi-kernel based Random Vector Functional Link Neural Network for Short-term Prediction of Wind Speed 基于多核随机向量函数链神经网络的短期风速预测
Sniedha Sarangi, P. K. Dash, Badri Narayan Sahoo, R. Bisoi
This work provides a wind speed prediction technique which is the combination of kernel functions and the random vector functional link neural network (RVFLN). The nonlinear kernel functions used in RVFLN called as MKRVFLN replace the traditional trial and error method to decide the number of neurons in hidden layer and also their appropriate activation functions. The MATLAB results demonstrates a comparison between ELM, RVFLN and MKRVFLN model. From comparison, the MKRVFLN forecasting model shows greater prediction accuracy. For wind seed prediction, the samples are collected at 10 minute, 30 minute, 1 hour and 3hour intervals of time from the wind farm named Sotavento locate in Spain.
本文提出了一种结合核函数和随机向量函数链接神经网络(RVFLN)的风速预测技术。RVFLN中使用的非线性核函数(MKRVFLN)取代了传统的试错法来确定隐藏层神经元的数量和相应的激活函数。MATLAB结果对ELM、RVFLN和MKRVFLN模型进行了比较。通过比较,MKRVFLN预测模型显示出较高的预测精度。对于风种预测,样本采集时间间隔为10分钟、30分钟、1小时和3小时,来自位于西班牙的Sotavento风电场。
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引用次数: 0
Stress Enhanced Performance Analysis for Trigate FinFETs at 7nm Node 7nm节点三叉finfet应力增强性能分析
J. Jena, Tara Prasanna Dash, S. Das, E. Mohapatra, C. K. Maiti
Short channel effect becomes a serious concern below 22nm technology node. This can be overcome by multigate devices such as double gate (DG), trigate (TG). Trigate FinFET structures have shown great potential for both digital and analog applications. In this work, we have simulated a realistic PMOS bulk-Si FinFET with epi-SiGe as a source/drain (S/D) stressor at a 7nm technology node. The strain enhancement mechanisms have been used in the diamond-shaped bridges patterned on SiGe S/D stressor. The stress in the channel due to epitaxial S/D stressor has been calculated using the stress history model and the theory of elasticity. A 30% improvement of the ‘on current’ in the channel as compared to the device without stress is demonstrated.
在22nm技术节点下,短通道效应成为一个严重的问题。这可以通过多栅极器件如双栅极(DG)、三栅极(TG)来克服。三门FinFET结构在数字和模拟应用中都显示出巨大的潜力。在这项工作中,我们在7nm技术节点上模拟了一个真实的PMOS体硅FinFET,其中epi-SiGe作为源/漏(S/D)应力源。应变增强机制已应用于SiGe S/D应力源上的菱形桥梁。利用应力历史模型和弹性理论计算了外延S/D应力源在沟道中的应力。与没有应力的器件相比,通道中的“导通电流”提高了30%。
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引用次数: 0
Structural and Optical Properties Investigation of The Hybrid CZTS-MWCNT Composite Hole Transporting Material 杂化CZTS-MWCNT复合空穴传输材料的结构和光学性质研究
J. Raiguru, P. Mahanandia, P. Raiguru, B. Subudhi
Perovskite materials are inspiring for solar cells (PSC) with higher efficiency and low-cost. But the use of cheap, non-toxic semiconductors as hole transporting material (HTM) has been a major and consistent issue. The p-type semiconductor CZTS (Cu2ZnSnS4) with optical bandgap energy (1.5 eV) has been emerged as a cost effective HTM. Furthermore, the optoelectronics features of CZTS (HTM) can be tuned by incorporating multiwall carbon nanotube (MMCNT) in CZTS. This fact encouraged us to prepare hybrid HTM CZTS-MWCNT composite by mixing CZTS and MWCNT and investigate their structural and optical characteristics. X-ray diffraction (XRD), and Raman spectroscopy characterizations have been performed to investigate the phase of the prepared parent materials and composites. Morphological analysis of the materials has been characterized by scanning electron microscopy (SEM), and transmission electron microscope (TEM). Absorption spectra and optical bandgap energy of the CZTS-MWCNT composites have been characterized by UV-Vis spectroscopy. The current-voltage characteristics of the hybrid composites material have been measured under dark and illumination conditions by using 1.5G Solar simulator and 2400 Keithley source measurement unit.
钙钛矿材料以其更高的效率和更低的成本为太阳能电池(PSC)提供了灵感。但是,使用廉价、无毒的半导体作为空穴传输材料(HTM)一直是一个主要和一致的问题。具有光学带隙能量(1.5 eV)的p型半导体CZTS (Cu2ZnSnS4)是一种具有成本效益的热媒材料。此外,在CZTS中加入多壁碳纳米管(MMCNT)可以调节CZTS (HTM)的光电特性。这一事实促使我们将CZTS和MWCNT混合制备混合HTM CZTS-MWCNT复合材料,并研究其结构和光学特性。用x射线衍射(XRD)和拉曼光谱(Raman)表征了制备的母材和复合材料的物相。用扫描电镜(SEM)和透射电镜(TEM)对材料进行了形态分析。利用紫外可见光谱对CZTS-MWCNT复合材料的吸收光谱和带隙能进行了表征。利用1.5G太阳模拟器和2400基思利源测量装置,测量了复合材料在黑暗和光照条件下的电流电压特性。
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引用次数: 0
Thermally Evaporated GaSb Thin Film Grown From TVDS Method for Optical Applications 用TVDS法生长用于光学的热蒸发GaSb薄膜
F. Ali, J. J. Mahakud, S. Kamilla
In this work, a new crystal growth technique has been used i.e. Thermo Vertical Direction Solidification (TVDS), designed and developed in our laboratory to grow undoped GaSb ingot from high purity Ga and Sb host materials. The grown ingot was then put inside thermal evaporation unit to deposit GaSb film on quartz substrate. The structural study of the grown GaSb thin film from the XRD characterization revealed that grown film was polycrystalline in nature. The electrical properties like carrier concentration, Hall-coefficient, mobility, resistivity etc of the film were studied by performing Hall-Effect measurements by Van Der Pauw method. It was found that for eutectic GaSb compound, thermal-evaporation is very much suitable method to deposit GaSb thin film with less complexity. Therefore, two terminal devices can be fabricated from the GaSb films by adding coplanner electrodes to design and investigate optical devices like photo detectors, optical communication devices, infrared diodes etc.
本研究采用了一种新的晶体生长技术,即热垂直定向凝固(TVDS),该技术是由我们实验室设计和开发的,可以在高纯Ga和Sb主体材料中生长未掺杂的GaSb铸锭。然后将生长好的钢锭放入热蒸发装置中,在石英衬底上沉积GaSb膜。通过XRD表征对生长的GaSb薄膜进行了结构研究,发现生长的薄膜具有多晶性质。采用范德保法进行霍尔效应测量,研究了薄膜的载流子浓度、霍尔系数、迁移率、电阻率等电学性能。研究发现,对于共晶的GaSb化合物,热蒸发法是制备GaSb薄膜的理想方法,且制备工艺简单。因此,在GaSb薄膜上加入共规划电极,可以制成两个终端器件,用于设计和研究光电探测器、光通信器件、红外二极管等光学器件。
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引用次数: 0
[Copyright notice] (版权)
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引用次数: 0
Automatic Attendance System using Face Recognition 使用人脸识别的自动考勤系统
S. K. Sarangi, Arunesh Paul, Harshit Kishor, Kritath Pandey
Attendance in an educational institution for students is the most challenging part of the virtual platform. It wastes a lot of effort and time when it is done manually. There was also a lot of fake attendance due to lack of a good attendance system. The face is the most important thing which identifies a human. Therefore, in this paper, we work on an attendance system using a face detection algorithm in real-time using the frontal face recognition concept. In this paper, we describe an efficient algorithm of haar cascade using an open-source image processing framework known as OpenCV.
学生在教育机构的出勤是虚拟平台中最具挑战性的部分。当手工完成时,会浪费大量的精力和时间。由于缺乏良好的考勤制度,也有很多假出勤。脸是识别一个人的最重要的东西。因此,在本文中,我们利用正面人脸识别的概念,研究了一个实时使用人脸检测算法的考勤系统。在本文中,我们描述了一种有效的haar级联算法,该算法使用开源图像处理框架OpenCV。
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引用次数: 3
期刊
2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)
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