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2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)最新文献

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An Overview of SD-WAN Load Balancing for WAN Connections 广域网连接SD-WAN负载均衡概述
S. Rajagopalan
Enterprises are revolving around different business strategies and new technologies to be ahead in the game. It may be cloud or SaaS, mobility, BYOD, network security, or unified communications. The existing and new entrepreneurs are in search and in need of the best and latest tech. Among which, the cloud is most eminent. It has gifted certain presents to the clan of businessmen- easy data transfer among intra-geographical locations, ease of storage, etc. Along with these advantages of the cloud, its security plays an equally important role. Here enters SD-WAN, which renders: Granular Security, Agile Network, Better Speed, Low Operating Cost, Higher UX, etc. Software-Defined Wide Area Network is an approach, which distributes the traffic that uses (software-defined networking) SDN technology across WANs to find out the best possible route for traffic flow among different geographical stations. Technically, it can be defined as SD-WAN is a technology that optimizes the operations over WANs with cloud-based management and automation. Load balancing is a traditional networking technique commonly used within data centers, while Software Defined WAN is a newer technology that can use load-balancing capabilities for WAN connections. This research article gives the overview of SD-WAN and load balancing in SD-WAN.
企业正在围绕不同的业务战略和新技术来在游戏中领先。它可能是云或SaaS、移动性、BYOD、网络安全或统一通信。现有的和新的企业家都在寻找和需要最好和最新的技术。其中,云计算是最突出的。它给商人们带来了一些礼物——便于在地理位置内传输数据,便于存储等。随着云的这些优势,它的安全性起着同样重要的作用。SD-WAN的到来,带来了:细粒度的安全、敏捷的网络、更快的速度、更低的运营成本、更高的用户体验等。软件定义广域网是一种利用(软件定义网络)SDN技术在广域网上分配流量的方法,以找出不同地理站点之间流量流的最佳可能路由。从技术上讲,它可以定义为SD-WAN是一种通过基于云的管理和自动化优化wan操作的技术。负载平衡是一种通常在数据中心内使用的传统网络技术,而软件定义的WAN是一种较新的技术,它可以为WAN连接使用负载平衡功能。本文概述了SD-WAN和SD-WAN中的负载均衡。
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引用次数: 5
Image Fusion Using Pulsed Coupled Neural Network with Modified Spatial Frequency based on NSCT 基于NSCT的改进空间频率脉冲耦合神经网络图像融合
N. Archana, R. Menaka, R. Dhanagopal
There are vast Image Fusion (IF) procedures are being projected in many ways by different analysts. Each coordinate point, it means pixel-level spatial space IF strategies, for the most part, lead to differentiate decrease. Pyramidal IF plans with the end goal like Laplacian, inclination, discriminate, quantity of-low-pass, and the morphological pyramids, and so forth abandonment to existing any spatial direction selectivity in the disintegration technique, also later regularly source obstructive impacts. The generally applied Discrete Wavelet Transform (DWT) can keep ghostly statistics efficiently, however, it will not be able to communicate spatial attributes adequately. Thus, DWT based grouping tactics will not be able to save the striking highlights of input images effectively and present antiques and irregularities in the intertwined outcomes. As of late, a limited Multiscale Geometric Analysis (MGA) instruments were grown, for illustration, Curvelet, Contourlet, NSCT, and so on which don’t experience the ill effects of the issues of wavelet. There are many IF and MIF techniques that work dependent on MGA devices were likewise projected. It is hard for the doctor to analyze the malady from the MRI and CT image independently for the patient. So in our proposed work, the MRI and CT clinical image are converted into a 3-D image for a better finding of the illness influenced part progressively precise and clear.
不同的分析人员正在以多种方式预测大量的图像融合(IF)程序。每个坐标点,表示像素级的空间IF策略,在很大程度上导致微分减小。金字塔型中频规划的最终目标如拉普拉斯、倾斜度、差别、低通数和形态金字塔等,在解体技术中放弃现有的任何空间方向选择性,后来也经常产生阻碍性影响。一般应用的离散小波变换(DWT)可以有效地保持幽灵统计量,但它不能充分地传达空间属性。因此,基于DWT的分组策略不能有效地保存输入图像的突出亮点,在交织的结果中呈现出古董和不规则性。最近,一种有限的多尺度几何分析(MGA)工具被开发出来,例如Curvelet, Contourlet, NSCT等,它们不会受到小波问题的不良影响。有许多依赖于MGA器件工作的IF和MIF技术也同样被预测。医生很难从MRI和CT图像中独立为患者分析病情。因此,在我们提出的工作中,将MRI和CT临床图像转换为三维图像,以便更好地发现疾病影响部分,逐渐精确和清晰。
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引用次数: 0
Dual Port Compact WIMAX UWB MIMO Antenna for High Gain and High Isolation 用于高增益和高隔离的双端口紧凑型WIMAX UWB MIMO天线
Sweety suhane, P. Jain
The dual port compact size WIMAX MIMO antennas are designed with the object of high gain and isolation for Ultra Wideband (UWB) applications. The S11 bandwidth is 3.8 to 9.2 GHz and the isolation level is -30 dB as per the object of enhancing gain and isolation among the two monopole antennas, two parasitic elements are thoroughly embedded behind the substrate. For designing the WiMAX MIMO antenna 24 * 30mm2 compact size antennas are designed and simulated. The simulation was established on the WiMAX antenna in UWB and wireless applications.
双端口紧凑型WIMAX MIMO天线是为超宽带(UWB)应用而设计的高增益和隔离目标。S11带宽为3.8 ~ 9.2 GHz,隔离度为-30 dB,根据增强增益和隔离的目的,两个寄生元件完全嵌入衬底后。为了设计WiMAX MIMO天线,设计并仿真了24 * 30mm2的小型天线。对WiMAX天线在超宽带和无线应用中的应用进行了仿真。
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引用次数: 1
Single Band Frequency Selective Surface Suitable for C Band in Satellite Communication 适用于卫星通信C波段的单频选择面
Priyansha Barha, P. Jain
The intent of this article is based on designing an investigation on a single band frequency response of a single-layer frequency selective surface. It is less manufacturing cost and a few dependencies on the polarization of the waves. The main two aspects of this study that the patch type band-reject filter resonate the frequency at C Band and maintaining the quality factor at higher Bandwidth. The single-layer FSS is presented by arranging the square-shaped metallic patch periodically in the dielectric sheet (FR-4 Epoxy). The proposed FSS provides a quality factor of 1.25 over the maximum rate of data transfer is about 80 % of higher bandwidth. The key factor of this article is to diminish the dimensions of the unit cell maintain to maintain the higher range of resonant frequency. The design and simulation were performed using the HFSS 2018.2 software and the ANSYS group.
本文的目的是设计研究单层频率选择表面的单频段频率响应。它的制造成本更低,而且很少依赖于波的极化。本文主要研究了贴片式带阻滤波器在C波段谐振频率和在较高带宽下保持品质因子两个方面。通过在介电片(FR-4环氧树脂)上周期性地布置方形金属贴片,得到了单层FSS。所提出的FSS提供的质量因子为1.25,最大数据传输速率约为更高带宽的80%。这篇文章的关键因素是减小单元格的尺寸,以保持较高的谐振频率范围。采用HFSS 2018.2软件和ANSYS软件组进行设计和仿真。
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引用次数: 1
Effect of Atmospheric Weather Condition on the performance of FSO 大气天气条件对FSO性能的影响
A. Dubey, Sourabh Sahu
Free Space Optical is a data transmitting method, which requires a point-to-point connection for reliable communication. It is the transmission of data through unguided propagation media. FSO communication operates 10 Gbps with a high data rate up to a few kilometers distance. Despite all the advantages, the performance of the FSO system is degraded by atmospheric turbulence such as absorption, scattering, etc. This investigation deals with the performance analysis of atmospheric attenuation over different atmospheric weather conditions. Here in this work, comparing the attenuation coefficient in different atmospheric conditions for the FSO system. The objective of this work is to produce an analysis result of the different weather attenuations, due to the rain, and hazard, that affect the FSO link. The suitability of three optical transmission Windows, those are 850nm, 1310nm, and 1550nm is analyzed, and compared with the previous works. In the proposed work, the Weather Forecast database has been used to take as an input, which would make the visibility model more accurate. The mostly used three wavelengths are used in the proposed model. Subsequently, the simulation software has also been used to extract the output parameters, which makes this model more accurate.
自由空间光是一种数据传输方式,它需要点对点连接来实现可靠的通信。它是通过无导向传播媒介传输数据。FSO通信以10gbps的速度运行,数据速率高达几公里。尽管有这些优点,但FSO系统的性能会受到大气湍流的影响,如吸收、散射等。本文研究了不同大气天气条件下大气衰减的性能分析。本文对FSO系统在不同大气条件下的衰减系数进行了比较。这项工作的目的是产生不同天气衰减的分析结果,由于降雨和危害,影响FSO链路。分析了850nm、1310nm和1550nm三种光传输窗口的适用性,并与前人的工作进行了比较。本文采用天气预报数据库作为输入,使能见度模型更加准确。该模型采用了最常用的三个波长。随后,还利用仿真软件对输出参数进行了提取,使模型更加准确。
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引用次数: 2
Open Source Remote Triggered Laboratory for Web based Manufacturing-A Case Study of 2D Plotter 基于Web制造的开源远程触发实验室——以2D绘图仪为例
A. Suhas, Manjunath Chabbi, K. Gangadharan, Pruthviraj Umesh
The recent advances in information and telecommunication technologies based on multimedia and global network will lead to innovations in the field of engineering especially in the machinery and mechanical engineering. The need for systems or machines, which can be accessed via internet and these technological advancements have resulted in the evolution of web-based manufacturing, which can be accessed through the remote environment. The appearance of ‘Remote laboratory’ reflects the development of e-learning. Access to e-learning resources is becoming easy via the internet and electronic media, which increases its flexibility in time, location and content. Once published on the internet, anyone on the web with the proper authentication can access and control the experiments. Remote laboratories will usually consist of a group of measuring instruments, encoders, and actuators connected to the internet through appropriate network equipment. Remote laboratories will allow students to access the set of experiments without any time and location restrictions. This paper focuses on the remotely operated open source laboratory for a student through web based manufacturing by taking 2D Sketcher as a case study. A student can deploy the codes on the web by which the machine will be accessed and live feed of the machine can be viewed by the students on their location.
近年来,以多媒体和全球网络为基础的信息和通信技术的发展将导致工程领域特别是机械和机械工程领域的创新。对可以通过互联网访问的系统或机器的需求以及这些技术进步导致了基于网络的制造的发展,可以通过远程环境访问。“远程实验室”的出现反映了电子学习的发展。通过互联网和电子媒体获取电子学习资源变得越来越容易,这增加了它在时间、地点和内容上的灵活性。一旦在互联网上发布,网络上任何有适当身份验证的人都可以访问和控制实验。远程实验室通常由一组测量仪器、编码器和执行器组成,通过适当的网络设备连接到互联网。远程实验室将允许学生在没有任何时间和地点限制的情况下访问实验集。本文以2D Sketcher为例,重点介绍了通过网络制造为学生远程操作的开源实验室。学生可以在网络上部署代码,通过网络访问机器,学生可以在他们的位置查看机器的实时动态。
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引用次数: 0
Analysis of Prosodic features for the degree of emotions of an Assamese Emotional Speech 阿萨姆语情感言语情感程度的韵律特征分析
Sippee Bharadwaj, P. Acharjee
This research work has attempted to study the speech prosody for designing a speech synthesizer. Speech prosody carries all relevant information about the utterances. Here, it has dealt with the suprasegmental features of the speech utterance. The propsoed research work is experimentally studying the interaction and behavior of segmental and suprasegmental features by concerning the North-East Indian Language Assamese. For efficiently designing an emotional speech recognition system or a speech synthesizer, a proper clarity on understanding the tone of a voice, boundaries of the prosodic, prominent portion of utterance concerning specific words, sentences are required. This paper also discusses the variations of prosodic features for ‘anger’ ‘normal’ ‘sad’ ‘surprise’ ‘disgust’ for different accent types. The degree of emotion considered here are head-high, mid-high, and flat with the help of some selected speech items for female and male taken from our Assamese speech database. This research work has analyzed and discussed the prosodic behavior of utterances from the mean speech rate and fundamental frequency based on the graphs and tables derived from the proposed experiment.
本研究试图通过对语音韵律的研究来设计语音合成器。语音韵律承载着话语的所有相关信息。在这里,它处理了语音话语的超分段特征。拟开展的研究工作是通过实验研究印度东北部阿萨姆语的音段和超音段特征的相互作用和行为。为了有效地设计情感语音识别系统或语音合成器,需要对声音的语调、韵律边界、特定单词、句子的突出部分有适当的理解。本文还讨论了不同口音类型下“愤怒”、“正常”、“悲伤”、“惊讶”、“厌恶”的韵律特征变化。这里考虑的情绪程度是头高,中等高,以及从我们的阿萨姆语语音数据库中选择的一些女性和男性的语音项目。本研究以实验所得的图表为基础,从平均语速和基频两方面分析和讨论了话语的韵律行为。
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引用次数: 2
Managers Training Programs Effectiveness Evaluation by using different Machine Learning Approaches 通过使用不同的机器学习方法来评估经理培训计划的有效性
Vedna Sharma, Sourabh Jain
Evaluating the training program conducted for managers is very essential to check the feasibility and effectiveness of the offered training programs.. The traditional analysis of trainee managers feedback about training programs will become more prone to imprecision or inaccuracy, which are caused due to the non-consideration of quality features that will influence either directly or indirectly. Accordingly, the results of feedback analysis managerswill not be considered as a true indicator to evaluate the performance of training program. Henceforth, this paper has proposed an automated solution to evaluate the performance of training programs offered to the managers by using two supervised machine learning techniques namely support vector machine (SVM) and decision tree. The proposed research work will also help to overcome the limitations of the existing studies by enhancing the efficiency, relevancy and reliability of training programs offered to managers and also provide basic needs to enhance the performance, which will also improve the standard of training program and optimize it accordingly.
对管理人员的培训计划进行评估对于检查培训计划的可行性和有效性是非常必要的。由于没有考虑到直接或间接影响的质量特征,传统的对培训经理反馈的分析将变得更不精确或不准确。因此,管理者的反馈分析结果将不会被视为评估培训计划绩效的真实指标。因此,本文提出了一种自动化的解决方案,通过使用两种监督机器学习技术,即支持向量机(SVM)和决策树,来评估提供给管理人员的培训计划的绩效。本文的研究工作将有助于克服现有研究的局限性,提高管理人员培训方案的效率、相关性和可靠性,并为提高绩效提供基本需求,从而提高培训方案的标准并相应地优化培训方案。
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引用次数: 0
Study and Analysis of Leakage current and leakage power in 1T1C DRAM at Nano Scale Technology 纳米尺度1T1C DRAM漏电流和漏功率的研究与分析
Amol S. Sankpal, D. J. Pete
As the variation in technology occurs, the size of the electronics gadget reduces day by day. With the downscaling of electronics device supply voltage, operating frequency, speed, and density of cells also change accordingly. Dynamic random access memory is mostly preferred for storing information in the microcomputer system due to its low latency and high-density attributes. The basic one-bit dynamic random access memory consists of an MOS transistor and a storage capacitor. Scaling reduces lateral dimensions of nMOS transistor to increase chip density per unit area on a silicon wafer. Scaling in MOS transistor is to increase the leakage in mos device which affects the performance of the system abruptly and the probability of loss of information increases. In this article, leakage current and leakage power analysis for 1T1C DRAM cell structure has been carried out for nanoscale memory devices. This paper investigates the design of a 1T1C DRAM cell at 180nm technology using cadence tool. The intention of this paper is to analyzed leakage current and power dissipation in 1T1C DRAM cell by variation of the parameter value. With a variety of capacitor value, leakage current and leakage power also reduce correspondingly. Similarly, with variation in bit line voltage, leakage current, and leakage power increase.
随着技术的变化,电子产品的尺寸日益缩小。随着电子器件的缩小,供电电压、工作频率、速度和电池密度也随之发生变化。动态随机存储器以其低时延和高密度的特性,成为微机系统中存储信息的首选存储器。基本的位动态随机存储器由MOS晶体管和存储电容组成。缩放可以减小nMOS晶体管的横向尺寸,从而增加硅片上单位面积的芯片密度。MOS晶体管的微缩是为了增加MOS器件的漏损,使漏损突然影响系统的性能,增加信息丢失的概率。本文对纳米级存储器件中1T1C DRAM单元结构的漏电流和漏功率进行了分析。本文利用cadence工具研究了180nm工艺下1T1C DRAM单元的设计。本文的目的是通过参数值的变化来分析1T1C DRAM电池的漏电流和功耗。随着各种电容值的变化,漏电流和漏功率也相应减小。同样,随着位线电压的变化,泄漏电流和泄漏功率增大。
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引用次数: 1
Improving resolution of images using Generative Adversarial Networks 使用生成对抗网络提高图像分辨率
Sumit Dhawan, Shailender Kumar
Even with all the achievements in precision and speed of various image super-resolution models, such as better and more accurate Convolutional Neural Networks (CNN), the results have not been satisfactory. The high-resolution images produced are generally missing the finer and frequent texture details. The majority of the models in this area focus on such objective functions which minimize the Mean Square Error (MSE). Although, this produces images with better Peak Signal to Noise Ratio (PSNR) such images are perceptually unsatisfying and lack the fidelity and high-frequency details when seen at a high-resolution. Generative Adversarial Networks (GAN), a deep learningmodel, can be usedfor such problems. In this article, the working of the GAN is shown and described about the production satisfying images with decent PSNR score as well as good Perceptual Index (P1) when compared to other models. In contrast to the existing Super Resolution GAN model, various modifications have been introduced to improve the quality of images, like replacing batch normalization layer with weight normalization layer, modified the dense residual block, taking features for comparison before they are fed in activation layer, using the concept of a relativistic discriminator instead of a normal discriminator that is used in vanilla GAN and finally, using Mean Absolute Error in the model.
尽管各种图像超分辨率模型在精度和速度上都取得了成就,比如更好、更精确的卷积神经网络(CNN),但结果并不令人满意。生成的高分辨率图像通常缺少更精细和频繁的纹理细节。该领域的大多数模型都集中在使均方误差(MSE)最小化的目标函数上。虽然,这产生了更好的峰值信噪比(PSNR)的图像,但在高分辨率下看到的图像在感知上是不令人满意的,缺乏保真度和高频细节。生成对抗网络(GAN)是一种深度学习模型,可用于解决此类问题。在本文中,与其他模型相比,GAN的工作显示并描述了具有体面的PSNR分数和良好的感知指数(P1)的令人满意的图像。与现有的超分辨率GAN模型相比,本文引入了各种改进来提高图像质量,如用权值归一化层代替批处理归一化层,修改稠密残差块,在激活层中输入特征之前进行比较,使用相对论鉴别器的概念代替普通GAN中使用的正态鉴别器,最后在模型中使用Mean Absolute Error。
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引用次数: 2
期刊
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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