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VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE最新文献

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Modeling and Designed of a Monopole Antenna that Operate at 3.3 [GHz] for Future 5G sub 6 [GHz] 面向未来5G sub - 6 [GHz]的3.3 [GHz单极天线建模与设计
Pub Date : 2021-06-30 DOI: 10.35940/ijeat.e2832.0610521
Gholam D Aghashirin, Maged Kafafy, Hoda S. Abdel-Aty Zohdy, M. Zohdy, Adam Timmons
Antenna unit is an important part of ADAS L2, L2+and Automated Driving L3 systems. It needs to function asneeded in dGPS, HD Map Correction Services, OEM Radios andNavigation Systems. The presented monopole antenna model for5G below 6 [GHz] operating at 3.3 [GHz] is developed. This workdemonstrates the modeling, design, and determining of monopoleantenna with intended targeted applications within theautomotive system emerging autonomous vehicles space and aswell as 5G Wireless Cellular Technology domain. FEKOsimulation is undertaken rather than mathematical modeling tocreate the structure and conduct the analysis of the proposedmonopole antenna. In order to support the fifth generation (5G)of wireless communication networks, SOS messages, vehicletracking, remote vehicle start, Advanced Driver AssistanceSystems (ADAS) L2, L2+/ Autonomous Driving (AD) L3 systemsself-driving vehicles powered by 5G with rapidly growing sets ofADAS and AD features and functions within the autonomousspace, USA cellular carriers mobile phone communicationstandard 4G MISO and 5G MIMO, LTE1, LTE2, connectedfunctions, features/services, IoT, DSRC, V2X, and C-V2Xapplications and 5G enable vehicles destined for the NAFTA(USA, Canada and Mexico) market, a new single monopoleantenna that operate at 3.3 [GHz] for future 5G (MIMO) below 6[GHz] modeling, design and simulation with intended automotiveapplicability and applications is proposed.The presented novel new 5G below 6 [GHz] monopoleantenna:1. Is not being investigated on the literatures review andpublished papers studied.2. No paper exists on these frequency bands.3. The desired monopole antenna is a new antenna with fewercomponents, reduction in size, low profile, competitive cost,better response to received RF signals for frequencies forfuture 5G below 6 [GHz] with each of the following:a. Range of operating frequencies, 0.6 [GHz] to5.9256 [GHz].b. Center frequency = 3.2628 [GHz] ~ 3.3 [GHz] forthe above band.c. Lambda (λ) = (3.0 x10^8 [m/sec^2]) / (3.3x10^9[Hz]) = 0.090 [m] = 90 [mm], lambda (λ) /4 = (0.090[m])/4 = 0.0225 [m] = 22.5 mm ~ 23 [mm], the overallmonopole antenna height.To be more direct, simulation studies are carried out and aredone utilizing FEKO software package from Altair to model theproposed monopole antenna for 5G below 6 [GHz] frequencyband. The focus is on the frequency band for 5G sub 6 [GHz]cellular system.The paper will introduce the following key points:1. Modelled and anayzed single element 5G sub 6 [GHz]monopole antenna.2. Student version of CAD FEKO program was used to designour desired monopole antenna with a wire feed excitationcoupled with step-by-step instructions is undertaken tohighlight the model geometry creation of our monopoleantenna. POST FEKO program is used to plot and view oursimulation results.3. We report the development of 5G below 6 [GHz] for fifthgeneration (5G) system that meets automotive and vehiclehomologation s
天线单元是ADAS L2、L2+和自动驾驶L3系统的重要组成部分。它需要在dGPS,高清地图校正服务,OEM无线电和导航系统中发挥作用。提出了工作频率为3.3 GHz的6 [GHz]以下5g单极天线模型。本工作演示了单极天线的建模、设计和确定,并在汽车系统新兴的自动驾驶汽车领域以及5G无线蜂窝技术领域中进行了目标应用。采用feko仿真而不是数学建模来创建结构并对所提出的单极天线进行分析。为了支持第五代(5G)无线通信网络、SOS信息、车辆跟踪、远程车辆启动、高级驾驶辅助系统(ADAS) L2、L2+/自动驾驶(AD) L3系统、自动驾驶领域内快速增长的ADAS和AD特性和功能的5G驱动的自动驾驶汽车、美国蜂窝运营商移动电话通信标准4G MISO和5G MIMO、LTE1、LTE2、连接功能、特性/服务、物联网、DSRC、V2X、c - v2x应用和5G为面向北美自由贸易协定(美国、加拿大和墨西哥)市场的车辆提供了一种新的3.3 GHz单极天线,用于6 GHz以下的未来5G (MIMO)建模、设计和仿真,具有预期的汽车适用性和应用。本文提出的新型5G 6 [GHz]以下单极天线:对未被调查的文献综述和已发表的论文进行了研究。没有关于这些频段的论文。期望的单极天线是一种新型天线,具有更少的组件,尺寸更小,低姿态,具有竞争力的成本,对未来5G频率低于6 [GHz]的射频信号有更好的响应,具有以下特点:工作频率范围:0.6 [GHz]至5.9256 [GHz]。以上频段中心频率= 3.2628 [GHz] ~ 3.3 [GHz]。λ (λ) = (3.0 × 10^8 [m/sec^2]) / (3.3 × 10^9[Hz]) = 0.090[m] = 90[mm], λ (λ) /4 = (0.090[m])/4 = 0.0225 [m] = 22.5 mm ~ 23 [mm],表示整体单极天线高度。更直接地说,利用Altair的FEKO软件包进行了仿真研究,对6 [GHz]频段以下的5G单极天线进行了建模。重点是5G sub - 6 [GHz]蜂窝系统的频段。本文将介绍以下几个重点:1。对单元件5G sub - 6 [GHz]单极天线进行建模和分析。学生版本的CAD FEKO程序被用来设计我们想要的单极天线与导线馈送激励,再加上一步一步的说明,以突出我们的单极天线的模型几何创建。利用POST FEKO程序绘制和查看仿真结果。我们报告了用于第五代(5G)系统的6 [GHz]以下5G的开发,该系统满足天线高度< 70 [mm]的汽车和车辆认证规范要求。从而使所提出的单极天线能够很容易地集成到多调谐蜂窝天线系统中。FEKO仿真分别在二维和三维单元模型中进行,以远场垂直增益作为俯仰角的函数。未来的研究工作和下一步的研究将被推荐。
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引用次数: 0
Implementation of Fuzzy Logic Controller for DC–DC step Down Converter DC-DC降压变换器模糊控制器的实现
Pub Date : 2021-06-30 DOI: 10.35940/ijitee.h9251.0610821
Shaik Gousia Begum, S. S. Nawaz, G. Anjaneyulu
This paper presents the design of a Fuzzy logic controller for a DC-DC step-down converter. Buck converters are step-down regulated converters which convert the DC voltage into a lower level standardized DC voltage. The buck converters are used in solar chargers, battery chargers, quadcopters, industrial and traction motor controllers in automobile industries etc. The major drawback in buck converter is that when input voltage and load change, the output voltage also changes which reduces the overall efficiency of the Buck converter. So here we are using a fuzzy logic controller which responds quickly for perturbations, compared to a linear controllers like P, PI, PID controllers. The Fuzzy logic controllers have become popular in designing control application like washing machine, transmission control, because of their simplicity, low cost and adaptability to complex systems without mathematical modeling So we are implementing a fuzzy logic controller for buck converter which maintains fixed output voltage even when there are fluctuations in supply voltage and load. The fuzzy logic controller for the DC-DC Buck converter is simulated using MATLAB/SIMULINK. The proposed approach is implemented on DC-DC step down converter for an input of 230V and we get the desired output for variations in load or references. This proposed system increases the overall efficiency of the buck converter.
本文介绍了一种用于DC-DC降压变换器的模糊控制器的设计。降压变换器是一种降压调节变换器,它将直流电压转换成较低水平的标准化直流电压。降压变换器用于太阳能充电器,电池充电器,四轴飞行器,汽车工业和牵引电机控制器等。buck变换器的主要缺点是当输入电压和负载发生变化时,输出电压也会发生变化,从而降低了buck变换器的整体效率。所以这里我们用的是模糊逻辑控制器它对扰动的反应很快,与线性控制器如P, PI, PID控制器相比。模糊控制器由于其简单、低成本和不需要数学建模就能适应复杂系统的特点,在洗衣机、传动控制等控制设计中得到了广泛应用,因此我们设计了一种buck变换器的模糊控制器,即使在电源电压和负载波动的情况下也能保持固定的输出电压。利用MATLAB/SIMULINK对DC-DC降压变换器的模糊控制器进行了仿真。该方法在输入电压为230V的DC-DC降压变换器上实现,并得到负载或参考值变化时所需的输出。该系统提高了降压变换器的整体效率。
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引用次数: 1
Development of a Notification System for Sending Assignment using Internet of ThingsTechnology 基于物联网技术的任务发送通知系统的开发
Pub Date : 2021-06-30 DOI: 10.35940/ijeat.e2809.0610521
N. Songneam
The problem with submitting assignments to teachersis students submit the assignments to teacher, there are a lot ofassignments submission per day to teacher, but sometime studentscannot hand in their assignment to teacher because teacher teachother section, so teacher cannot acknowledge student submission.According to the problem, researcher has been working on thisresearch. The purposes of the research were to: 1) design thenotification system for sending the assignment using Internet ofThings technology, 2) develop devices for submitting theassignment and notifying submission information via LINEapplication using Internet of Things technology, and 3) evaluateuser satisfaction in using the notification system for sending theassignment using Internet of Things technology. The populationis students and teachers in Phranakhon Rajabhat University. Thesample group consisted of 50 people using the purposive sampling.The research instruments were: 1) the notification system forsending the assignment using Internet of Things technology, and2) the assessment form for user satisfaction in using thenotification system for sending the assignment using Internet ofThings technology. The results of the research showed that thesystem functions are working properly. The evaluation consistedof four parts: 1) the system designing had good level (x=4.12)and the standard deviation was 0.48, 2) the system usability hadvery good level (x=4.52) and the standard deviation was 0.22, 3)the system benefit had very good level (x=4.68) and the standarddeviation was 0.38, and 4) the system overview had good level(x=4.38) and the standard deviation was 0.56. The results of fourparts from the evaluation showed that the system was effective.
向老师提交作业的问题是学生向老师提交作业,每天有很多作业提交给老师,但有时学生不能把作业交给老师,因为老师讲授其他部分,所以老师不能承认学生提交的作业。针对这个问题,研究人员一直在进行这项研究。本研究的目的是:1)设计使用物联网技术发送作业的通知系统,2)开发使用物联网技术通过line应用程序提交作业和通知提交信息的设备,以及3)评估使用物联网技术发送作业通知系统的用户满意度。人口是Phranakhon Rajabhat大学的学生和教师。样本组由50人组成,采用目的性抽样。研究工具为:1)使用物联网技术的作业发送通知系统,2)使用物联网技术的作业发送通知系统的用户满意度评估表。研究结果表明,系统功能运行正常。评价由四部分组成:1)系统设计水平较好(x=4.12),标准差为0.48;2)系统可用性水平较好(x=4.52),标准差为0.22;3)系统效益水平较好(x=4.68),标准差为0.38;4)系统概述水平较好(x=4.38),标准差为0.56。评价的四部分结果表明,该系统是有效的。
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引用次数: 0
Lung and Tumor Characterization in the Machine Learning Era
Pub Date : 2021-06-30 DOI: 10.35940/ijeat.d2436.0610521
R. Subalakshmi, G. Baskar
Danger characterization of tumors from radiologyimage container to be much precise and quicker with computeraided diagnosis (CAD) implements. Tumor portrayal via suchdevices can likewise empower non-intrusive prognosis, and fosterpersonalized, and treatment arranging as a piece of accuracymedication. In this study , in cooperation machine learningalgorithm strategies to better tumor characterization. Ourmethodological analysis depends on directed erudition for which weexhibit critical increases with machine learning algorithm,particularly by exploitation a 3D Convolutional Neural Networkand Transfer Learning. Disturbed by the radiologists'understandings of the outputs, we at that point tell the best way tofuse task subordinate feature representations into a CADframework by means of a diagram regularized inadequate MultiTask Learning (MTL) system with the help of feature fusion.
通过计算机辅助诊断(CAD)的实现,从放射图像容器中对肿瘤进行危险表征变得更加精确和快速。通过这种设备对肿瘤的描绘同样可以实现非侵入性预后,并促进个性化和治疗安排,作为一种准确的药物治疗。在本研究中,协同机器学习算法策略来更好地表征肿瘤。我们的方法学分析依赖于定向学习,我们在机器学习算法方面表现出了关键的增长,特别是通过利用3D卷积神经网络和迁移学习。受放射科医生对输出的理解的干扰,我们在这一点上告诉最好的方法,将任务下属的特征表示融合到一个cad框架中,即借助于特征融合的图正则化的不充分多任务学习(MTL)系统。
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引用次数: 0
A Review on Secure Data Transmission for Banking Application using Machine Learning 基于机器学习的银行安全数据传输研究综述
Pub Date : 2021-06-30 DOI: 10.35940/ijeat.e2746.0610521
Gurram Bhaskar, Motati Dinesh Reddy, Thatikonda , Mounika
Security on the Internet of Things (IoT) accentuatessafeguarding the Internet-empowered devices that connect toremote networks. IoT Safety endeavors to shield IoT gadgets andframeworks against cybercrime, and it is considered a vitalsecurity element linked to the IoT. Conversely, bankingapplications are dynamically being regulated for their inability togive an adequate level of client assistance and insure themselvesagainst and react to digital assaults. One of the primarycomponents for this is the weakness of Fintech systems andorganizations to breaking down. Therefore, wireless organizationscovering these IoT items are incredibly unprotected. IoT is alightweight framework, and it is ideal when utilizing lightweightand energy-effective cryptography for assurance. Deep learning isa proficient technique to examine dangers and react to assaultsand security occurrences. So this business locales both securityand energy productivity in IoT utilizing two novel strategieshelped out through the deep learning. This work adds to the mostinventive method of saving energy in IoT gadgets throughdiminishing the utilization of energy-costly '1' values in theinterface of Dynamic RAM. This should be possible by utilizingBase + XOR encoding of information during informationtransmission. Utilizing Conditional Generative AdversarialNetwork (CGAN) based deep learning strategy, the Base + XORencoding technique and C.X.E. are prepared or trained quite wellin the banking/financial application. The information age inCGAN is done dependent on rules delivered utilizing the generatormodel. This work is ended up being burning-through less energy,less information transmission time, and gives greater securitywhen thought about the existing frameworks.
物联网(IoT)的安全重点是保护连接到远程网络的互联网授权设备。物联网安全致力于保护物联网设备和框架免受网络犯罪的侵害,它被认为是与物联网相关的重要安全元素。相反,银行应用程序正在动态地受到监管,因为它们无法提供足够水平的客户帮助,也无法确保自己免受数字攻击并做出反应。造成这种情况的一个主要因素是金融科技系统和组织的弱点。因此,发现这些物联网物品的无线组织是非常不受保护的。物联网是轻量级框架,在使用轻量级和节能加密技术进行保证时,它是理想的。深度学习是一种检查危险并对攻击和安全事件做出反应的熟练技术。因此,该业务利用深度学习的两种新策略,在物联网中实现了安全性和能源生产率。这项工作通过减少动态RAM接口中能耗高的“1”值的利用率,增加了物联网设备中最具创造性的节能方法。这应该可以通过在信息传输过程中利用信息的base + XOR编码来实现。利用基于条件生成对抗网络(CGAN)的深度学习策略,Base + XORencoding技术和cx.e.在银行/金融应用中得到了很好的准备或训练。信息时代的inCGAN依赖于利用生成器模型交付的规则。这项工作最终消耗了更少的能量,更少的信息传输时间,并且在考虑到现有框架时提供了更高的安全性。
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引用次数: 0
Device Classification-Based Context Management for Ubiquitous Computing usingMachine Learning 基于机器学习的普适计算设备分类上下文管理
Pub Date : 2021-06-30 DOI: 10.35940/ijeat.e2688.0610521
N. Mhetre, A. V. Deshpande, P. Mahalle
Ubiquitous computing comprises scenarios wherenetworks, devices within the network, and software componentschange frequently. Market demand and cost-effectiveness areforcing device manufacturers to introduce new-age devices. Also,the Internet of Things (IoT) is transitioning rapidly from the IoTto the Internet of Everything (IoE). Due to this enormous scale,effective management of these devices becomes vital to supporttrustworthy and high-quality applications. One of the keychallenges of IoT device management is proactive deviceclassification with the logically semantic type and using that as aparameter for device context management. This would enablesmart security solutions. In this paper, a device classificationapproach is proposed for the context management of ubiquitousdevices based on unsupervised machine learning. To classifyunknown devices and to label them logically, a proactive deviceclassification model is framed using a k-Means clusteringalgorithm. To group devices, it uses the information of networkparameters such as Received Signal Strength Indicator (rssi),packet_size, number_of_nodes in the network, throughput, etc.Experimental analysis suggests that the well-formedness ofclusters can be used to derive cluster labels as a logically semanticdevice type which would be a context for resource managementand authorization of resources.
普适计算包括网络、网络中的设备和软件组件频繁交换的场景。市场需求和成本效益迫使设备制造商推出新时代的设备。此外,物联网(IoT)正在迅速从物联网向万物互联(IoE)过渡。由于这种巨大的规模,对这些设备的有效管理对于支持值得信赖和高质量的应用程序变得至关重要。物联网设备管理的关键挑战之一是使用逻辑语义类型进行主动设备分类,并将其用作设备上下文管理的参数。这将使智能安全解决方案成为可能。本文提出了一种基于无监督机器学习的设备分类方法,用于无处不在设备的上下文管理。为了对未知设备进行分类并对其进行逻辑标记,使用k-Means聚类算法构建了一个主动设备分类模型。为了对设备进行分组,它使用网络参数的信息,如接收信号强度指标(rssi),packet_size,网络中节点的数量,吞吐量等。实验分析表明,集群的格式良好性可以用来派生集群标签作为逻辑语义设备类型,这将是资源管理和资源授权的上下文。
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引用次数: 0
Systematic Mapping Study of Enterprise Resource Planning 企业资源规划系统映射研究
Pub Date : 2021-06-30 DOI: 10.35940/ijeat.e2824.0610521
Salma Shofia Rosyda, E. Maulina, M. Purnomo
Enterprise resource planning needs to be maximizedin line with technological developments and circumstances thatcan change unexpectedly. The goal is to integrate businessprocesses to enhance collaboration. Organizational performanceand critical success factors have become important in enterpriseresource planning from 2011 to 2020. This article aims to classify,identify scientific publications, and thematic analysis of the latestliterature to create a broad and detailed understanding ofenterprise resource planning. The research method used is asystematic mapping study (SMS) to examine scientificpublications produced from time to time, types of research, andmethods. The SMS procedure follows established empiricalguidelines and the mapping data relies on the IEEE,ScienceDirect, and Scopus electronic databases. Based on theresults of SMS, it is known that 89 studies met the inclusioncriteria. 89 articles were classified by type of paper, method, focus,locus, and year of publication. Then, categorization andquantification of current studies are generated on variousdimensions, topic summaries, and current research trends.
企业资源规划需要根据技术发展和可能发生意外变化的环境最大化。目标是集成业务流程以增强协作。从2011年到2020年,组织绩效和关键成功因素在企业资源规划中变得越来越重要。本文旨在分类,识别科学出版物,并对最新文献进行专题分析,以建立对企业资源规划的广泛而详细的了解。使用的研究方法是系统映射研究(SMS)来检查不时产生的科学出版物,研究类型和方法。SMS程序遵循既定的经验指导方针,地图数据依赖于IEEE,ScienceDirect和Scopus电子数据库。根据SMS的结果,已知89项研究符合纳入标准。按论文类型、方法、研究重点、研究地点和发表年份对89篇文章进行分类。然后,从各个维度、主题总结和当前研究趋势对当前研究进行分类和量化。
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引用次数: 0
A Novel Spectrum Decision Pattern for The Favorable Cognitive Radio Based Internet of Things in 5G System 基于有利认知无线电的5G物联网频谱决策新模式
Pub Date : 2021-06-30 DOI: 10.35940/ijeat.e2808.0610521
A. HyilsSharonMagdalene., D. Punithavathani
The Radio Frequency (RF) Spectrum decision inCognitive Radio (CR) allows unlicensed users of wirelesscommunication schemes to conquer the unoccupied spectrumslots as a resolution for barely spectrum. The Internet of Things(IoT) is a broad-arriving network and its object is linked bywireless communication technologies, donating cost- efficiencyand generously opens to remote users. When IoT is applied, it isinjured by challenges of susceptibility in the forceful surroundingsituations, allotment and use of bandwidth, ease of approach andexpense to buy RF spectrum. The object is permeated withcognitive capacity and is capable to model RF spectrum decisionsto attain interference-release and wireless connectivity due to theirQuality of Service (QoS) demands. Therefore the spectrumdecision through an unlicensed user on CR influences animportance in CR-based IoT in 5G system and further network.This article depicts a systematic sustainment of the spectrumdecision structure to CR Network. So, this can be mainly achievedby applying a favorable spectrum sensing technique and a novelspectrum decision framework. Presently, the wireless connectivityis intended to greater capacity, immense machine connectivity,and greater data range, low end-to-end latency, low cost andcoherent Quality of Experience (QoE) condition. Hence, 4G isbeing substituted by 5G. Being in this 5G, the vast connectivity canbe properly inspired by using the novel techniques, which isapplied under the Energy detection spectrum sensing system. Also,a novel spectrum decision framework is designed for the optimumapplication of applying the IoT in 5G system ie., the effective useof an allocated RF spectrum is differently underutilized becauseof the standard handling with the licensed users are called asPrimary Users (PUs).
认知无线电(CR)中的射频(RF)频谱决策允许无线通信方案的未授权用户征服未占用的频谱槽,作为对几乎没有频谱的解决方案。物联网(IoT)是一个广泛的网络,其对象通过无线通信技术连接,具有成本效益,并向远程用户慷慨开放。当物联网应用时,它受到了在强环境下的敏感性、带宽的分配和使用、方法的便利性和购买射频频谱的费用等挑战的损害。该对象具有认知能力,并且能够对射频频谱决策进行建模,以实现由于其服务质量(QoS)需求而产生的干扰释放和无线连接。因此,非授权用户在CR上的频谱决策对5G系统和未来网络中基于CR的物联网具有重要影响。本文描述了对CR网络频谱决策结构的系统支持。因此,这主要可以通过采用有利的频谱感知技术和新颖的频谱决策框架来实现。目前,无线连接旨在实现更大的容量,巨大的机器连接,更大的数据范围,低端到端延迟,低成本和一致的体验质量(QoE)条件。因此,4G正在被5G所取代。在这个5G中,可以通过使用在能量探测频谱传感系统下应用的新技术来适当地激发巨大的连接。此外,针对物联网在5G系统中的最佳应用,设计了一种新的频谱决策框架。由于与被称为主用户(pu)的许可用户的标准处理,分配的RF频谱的有效使用在不同程度上未得到充分利用。
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引用次数: 0
Optimization and Estimation of Transfer Function Model of Milk Evaporation Process 牛奶蒸发过程传递函数模型的优化与估计
Pub Date : 2021-06-30 DOI: 10.35940/ijeat.e2800.0610521
V. N. Aher, G. Sable, M. R. Rajput
Development of Mathematical model has significantrole in many applications such as estimation of relations betweeninput and output variables. The relations can be deterministic orbehavioral. From the point of view of control actions to beestimated for a particular application, behavioral model isconsidered to be of utmost importance. This also amounts theprediction of process behavior in time, frequency and complexdomains. Here in this paper, attempts have been made to developbehavioral model of milk evaporation used in dairy industry whichis of prominent importance in India because of its agriculturebased economy. Besides India, there are also many milkproducing countries in the world and their economy is dependenton milk producing animals. It is also imperative that excess milkproduction to be converted in its preservable form and evaporatedmilk has special significance in this context. The Milk evaporationis a complex process and its output control variables depend onmany of its input manipulation variables. Because of its complexnature and many variables involved in it poses a challenge real lifeMIMO problem. In this paper, MIMO model of Milk evaporationmodel is estimated and described.
数学模型的发展在输入和输出变量关系的估计等许多应用中具有重要意义。这种关系可以是确定性的,也可以是行为性的。从控制动作的角度来看,对一个特定的应用程序进行估计,行为模型是最重要的。这也相当于在时间,频率和复杂域过程行为的预测。在本文中,试图开发用于乳制品行业的牛奶蒸发行为模型,这在印度的农业经济中非常重要。除了印度,世界上还有许多产奶国家,他们的经济依赖于产奶动物。过剩的牛奶产量也必须转化为可保存的形式,在这种情况下,蒸发牛奶具有特殊意义。牛奶蒸发是一个复杂的过程,它的输出控制变量取决于它的许多输入操纵变量。由于其复杂性和涉及的变量较多,对现实生活中的imo问题提出了挑战。本文对牛奶蒸发模型中的MIMO模型进行了估计和描述。
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引用次数: 0
War Field Robot with Night Vision Camera 带有夜视摄像头的战场机器人
Pub Date : 2021-06-30 DOI: 10.35940/ijeat.e2587.0610521
K. Mhatre, Nikita Jha, Sonali Dhurway, Jugnum Parimal
Considering the current scenario of warfare betweenIndia and China, we got inspired by the thought of various waystechnology can help our hardworking soldiers by reducing thehuman loss by using an application that can spy on the enemy, andalso for security purpose. This project’s main purpose is to dealwith difficult situations like where humans cannot go throughscenarios like darkness, entering narrow areas and detectinghidden bombs etc. The robot serves as a perfect machine for thedefense sector in order to reduce the human life loss and will alsohelp in prevention of illegal activities. The robot is self-powered,with a backtracking facility, in case a situation arises where there isconnection loss from the base station. Wireless cameras sends backreal-time video and audio inputs that can be seen on a monitor inthe base station and action can be taken accordingly.
考虑到目前印度和中国之间的战争情况,我们受到了各种技术的启发,通过使用一种可以监视敌人的应用程序来减少人员损失,同时也出于安全目的。这个项目的主要目的是处理困难的情况,如人类无法通过的场景,如黑暗,进入狭窄的区域和检测隐藏的炸弹等。该机器人是国防部门的完美机器,可以减少人员生命损失,也有助于预防非法活动。机器人是自供电的,具有回溯功能,以防出现与基站断开连接的情况。无线摄像机传回的实时视频和音频输入可以在基站的监视器上看到,并可以采取相应的行动。
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VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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