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International Journal of Applied Engineering Research (Netherlands)最新文献

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Three-Dimensional Williamson MHD Fluid Embedded with Indium Nitride Nanoparticles Over a Linearly Stretching Porous Sheet with Radiation and Arrhenius Activation Energy 三维Williamson MHD流体嵌入氮化铟纳米颗粒在线性拉伸多孔片辐射和阿伦尼乌斯活化能
Q1 Engineering Pub Date : 2022-05-30 DOI: 10.37622/ijaer/17.5.2022.486-499
M. Jyotshna, V. Dhanalaxmi
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引用次数: 0
A Review of Statistical Modelling and Machine Learning in Analytical Problems 分析问题中的统计建模和机器学习综述
Q1 Engineering Pub Date : 2022-05-30 DOI: 10.37622/ijaer/17.5.2022.506-510
K. Thiruvengadam, Basilea Watson, P. Chinnaiyan, Rajendran Krishnan
Data scientists and statisticians often conflict when deciding on the best approach to solve analytical challenges through machine learning and statistical modeling. However, machine learning and statistical modeling complement each other. Machine learning and statistical modeling are essentially based on similar mathematical principles but use different tools to construct the overall analytical knowledge base. Determining the predominant approach to be employed should be based on the problem to be solved, as well as empirical evidence, such as the size and completeness of the data, number of variables, assumptions or lack thereof, and expected outcomes such as predictions or causality. Good analysts and data scientists thus should be aware of the inherent difference between the two methods based on their proper applications and tools to achieve the desired results.
在决定通过机器学习和统计建模解决分析挑战的最佳方法时,数据科学家和统计学家经常发生冲突。然而,机器学习和统计建模是相辅相成的。机器学习和统计建模本质上基于相似的数学原理,但使用不同的工具来构建整体分析知识库。确定要采用的主要方法应基于要解决的问题,以及经验证据,例如数据的大小和完整性,变量的数量,假设或缺乏假设,以及预期结果,例如预测或因果关系。因此,优秀的分析师和数据科学家应该意识到这两种方法之间的内在差异,这些差异基于它们适当的应用程序和工具来实现预期的结果。
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引用次数: 0
A Secure and Enhanced Route Discovery in Vehicular Environment using Agent Trusted Authority 基于代理可信权限的车辆环境下安全增强的路径发现
Q1 Engineering Pub Date : 2022-05-30 DOI: 10.37622/ijaer/17.5.2022.528-533
D. Chitra, K. Ilakkiya
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引用次数: 0
Microstrip Patch Antenna with Reconfigurable Band Notches for UWB-CR Applications using SRR, CSRR and ESRR 带可重构带槽的微带贴片天线,用于使用SRR, CSRR和ESRR的UWB-CR应用
Q1 Engineering Pub Date : 2022-05-30 DOI: 10.37622/ijaer/17.5.2022.464-468
M. P. Kumar, Vedavrath Lakide, J. Mallesh, K. P. Vinay, B. Ramesh
The proposed work focuses on a Reconfigurable Microstrip antenna to employ in inlay and prime layer Ultra-Wideband Cognitive Radio (UWB-CR) applications. The Defected Ground Structure (DGS) is employed on the ground plane of the antenna to operate at UWB, for prime layer CR and for sensing in the inlay CR. When used in the inlay CR mode, selectively have one, two or three notches in the Bluetooth (2.4GHz), Wi-MAX (3.1 GHz – 3.8GHz) and WLAN (5.1GH-5.8GHz) to avoid interference to the direct users operating in these bands. The band notch characteristics are achieved by etching the three Split Ring Resonators on the patch namely, Split-Ring Resonator (SRRs), Complementary SRR (CSRR) and Elliptical SRR (ESRR). The SRRs are controlled using three electronic switches which are mounted over it to achieve the Reconfigurability of notch frequencies. The proposed antenna is simulated using CST STUDIO V.14.
提出的工作重点是一种可重构微带天线,用于嵌体和主层超宽带认知无线电(UWB-CR)应用。在天线的接地面上采用缺陷接地结构(DGS),用于超宽带工作,用于主层CR和嵌体CR中的传感。在嵌体CR模式下使用时,可在蓝牙(2.4GHz)、Wi-MAX (3.1 GHz - 3.8GHz)和WLAN (5.1 GHz -5.8GHz)中选择性地设置一个、两个或三个陷波,以避免对在这些频段工作的直接用户造成干扰。带陷波特性是通过在贴片上蚀刻三个裂环谐振器来实现的,即裂环谐振器(SRRs)、互补SRR (CSRR)和椭圆SRR (ESRR)。srr使用安装在其上的三个电子开关来控制,以实现陷波频率的可重构性。采用CST STUDIO V.14对所提出的天线进行了仿真。
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引用次数: 0
Machine Learning based Security for Cloud Computing: A Survey 基于机器学习的云计算安全:调查
Q1 Engineering Pub Date : 2022-04-30 DOI: 10.37622/ijaer/17.4.2022.338-344
M. Saran, R. Yadav, U. Tripathi
Cloud computing is a computing paradigm that provides on-demand, scalable as well as measured services to the end uses. In today’s era almost each and every business has huge dependency on this computing technology in terms of cost-saving, infrastructure, development platform, data processing, data analytics etc. The services provided by the cloud service providers (CSP) can be consumed by the end users anytime, anywhere by the web application over the internet. The security of the cloud infrastructure is of utmost importance and several research work involving various technologies are utilized so as to provide better and more accurate defence mechanism against cloud attacks. Machine learning is a technology that has proved to produce better results in securing the cloud environment in the recent times. Machine learning algorithms are trained on the various authentic datasets to build models that can automate the process of detecting the cloud attacks with higher accuracy in comparison with any other technology. This paper reviews some of the latest research papers that have employed machine learning as a security mechanism against cloud attacks.
云计算是一种计算范式,它为最终用户提供按需、可扩展和可衡量的服务。在当今时代,几乎每个企业在节约成本、基础设施、开发平台、数据处理、数据分析等方面都非常依赖这种计算技术。云服务提供商(CSP)提供的服务可以通过web应用程序在互联网上随时随地被最终用户使用。云基础设施的安全性至关重要,为了提供更好、更准确的云攻击防御机制,我们开展了多项涉及多种技术的研究工作。近年来,机器学习技术已被证明在保护云环境方面能产生更好的结果。机器学习算法在各种真实数据集上进行训练,以构建模型,与任何其他技术相比,这些模型可以以更高的精度自动检测云攻击的过程。本文回顾了一些最新的研究论文,这些论文采用机器学习作为对抗云攻击的安全机制。
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引用次数: 3
Effect on Yield of Pigeon Pea (Cajanus cajan) Crop with Changing Chlorophyll 叶绿素变化对豇豆作物产量的影响
Q1 Engineering Pub Date : 2022-04-30 DOI: 10.37622/ijaer/17.4.2022.412-415
M. Tiwari, S. Tiwari
: Chlorophyll is the important component of plant cell, participating an important role in the generation of food in presence of sunlight which is responsible for the production of food grains in the crops. For study of the effect on yield of Pigeon pea ( Cajanus cajan ) crop with changing chlorophyll, the sampling locations were selected as nearby area of M/s HeidelbergCement India Limited (HCIL), Narsinagrh, Damoh, Madhya Pradesh. Because of pollutants released by the HCIL, Narsingarh, the chlorophyll contents of Cajanus cajan were varied at several sampling locations, Similarly, the yield of food grain was also varied.
叶绿素是植物细胞的重要组成部分,在有阳光的情况下参与食物的产生,负责作物粮食的生产。为了研究叶绿素变化对木豆(Cajanus cajan)作物产量的影响,采样地点选择在中央邦Damoh Narsinagrh的M/s海德堡水泥印度有限公司(HCIL)附近地区。由于纳辛格尔河流域大气污染物的排放,不同采样点的菜豆叶绿素含量发生了变化,粮食产量也发生了变化。
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引用次数: 0
Calculus of Variations and Application of Rayleigh – Ritz Method in Heat and Mass Transfer Problems 变分法及瑞利-里兹法在传热传质问题中的应用
Q1 Engineering Pub Date : 2022-04-30 DOI: 10.37622/ijaer/17.4.2022.422-426
P. Basak
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引用次数: 0
Analysis and Design for Comfort Ride of 4-Wheeled Vehicles Vibration on Rural Road Surface and To Reduce Climate Impact 农村路面四轮车辆振动舒适性分析与设计及减少气候影响
Q1 Engineering Pub Date : 2022-04-30 DOI: 10.37622/ijaer/17.4.2022.320-328
M. Singh, Bharat Singh
Today all type of Transport Vehicles are need of hour for the movement from one place to other, on other hand introduction of advanced technologies of the automobiles are universal demand for improving its dynamic shape for comfort ride, safety majors, and environmental friendly. To fulfill this objective, continual improvements in automobile technologies are taking its pace. In this paper, authors’ focus towards the suspension system to reduce considerably vibration of the vehicles for comfort ride and safety during its braking, acceleration or passes over irregular surfaces at higher speeds such as ramble strips / bumps and speed breakers or uneven road contours in the Indian Road Scenario. A mathematical model is prepared to consider these vibrations considering all four wheels running on irregular roads surface, ramble strips, speed breakers and simulated with software: Simulink / Matlab. Currently the research works are carried out for comfort ride up to 20-35 km per hour speed. In this paper, researches are carried out to improve the comfort zone at 50 km/hour and above for light vehicles at direct and indirect parameters such as: spring constants, damping coefficients, bumps etc. The simulation results were extensively and accurately evaluated on above factors impacting comfort ride of four wheeled vehicles. The result shows that comfort ride is found at speed 62.5 km/ hr or above on rural roads when rear tire damping coefficient ( b r) is 4 kNs/m. Future researches can be done, on Ramble Strips / Speed Breakers at higher speeds for comfort ride.
今天,所有类型的交通工具都需要一个小时的运动从一个地方到另一个地方,另一方面,汽车的先进技术的引进是普遍的需求,以改善其动态形状的舒适性,安全性和环保性。为了实现这一目标,汽车技术的不断改进正在加快步伐。在本文中,作者将重点放在悬架系统上,以减少车辆在制动、加速或以较高速度通过不规则表面(如漫步带/颠簸带和减速带)或印度道路场景中不平坦的道路轮廓时的大幅振动,以实现舒适性和安全性。建立了一个数学模型,考虑了所有四个车轮在不规则路面,漫步带,减速带上的振动,并使用Simulink / Matlab软件进行了模拟。目前的研究工作是为每小时20-35公里的舒适行驶而进行的。本文通过弹簧常数、阻尼系数、颠簸等直接参数和间接参数,对轻型车辆在50km /h及以上速度下的舒适区进行改善研究。对上述影响四轮车辆平顺性的因素进行了广泛而准确的仿真评价。结果表明,当后轮胎阻尼系数(b r)为4 kn /m时,在乡村公路上行驶速度为62.5 km/ h及以上时,平顺性良好。未来的研究可以在更高的速度下进行,以获得舒适的乘坐体验。
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引用次数: 0
A Survey On Virtualization Technology and its Security Challenges in Mobile Cloud Computing 移动云计算虚拟化技术及其安全挑战综述
Q1 Engineering Pub Date : 2022-04-30 DOI: 10.37622/ijaer/17.4.2022.332-337
R. Yadav, M. Saran, U. Tripathi
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引用次数: 0
QRS Complex Detection and Monitoring Heart Abnormalities in ECG QRS复合检测与心电异常监测
Q1 Engineering Pub Date : 2022-04-30 DOI: 10.37622/ijaer/17.4.2022.396-404
P. Gopikumar, R. Manikandan, C. Reddy
An Electrocardiogram (ECG) is a biological signal and non-invasive method to record the electrical activity of the heart by electrodes placed on surface of human body. Acquiring and analysis of Rwave, can be done traditionally using different software. To be in advance this work focuses not only on acquiring and analysis of ECG signal but also on identification of cardiac abnormalities. This would bridge the gap between medical physicians and engineers. Our project is carried out with the help of Lab VIEW software. This model works for identifying particular abnormality. The signal is then fed to PC through NI ELVIS DAQ. Here the waveform in analog form is are converted to digital form and is analyzed for detecting the R peak of the ECG signal acquired, based on which the identification of cardiac disorders is done by sending them to the loops containing the conditions for cardiac disorders. Based on the results obtained from the analysis of the ECG signal and comparison with the loop conditions, the cardiac disorders identified and displayed instantly. Firstly, denoising can be done by using WA Detrend and Undecimated Wavelet Transform (UWT), then features extracted from the denoised ECG signal by using ECG Features Extractor. One cardiac cycle in an ECG signal consists of the P-QRS-T waves. The amplitudes and intervals value of P-QRS-T segment determines the functioning of heart of every human. QRS detection, especially detection of R wave in heart signal, is easier than other portions of ECG signal due to its structural form and high amplitude. R wave is one of the most important sections of this complex, which has an essential role in diagnosis of heart rhythm irregularities and also in determining heart rate variability’.
心电图(Electrocardiogram, ECG)是一种通过放置在人体表面的电极来记录心脏电活动的生物信号和非侵入性方法。Rwave的获取和分析,传统上可以使用不同的软件来完成。在此之前,这项工作不仅关注心电信号的采集和分析,而且还关注心脏异常的识别。这将弥合医生和工程师之间的鸿沟。我们的项目是借助Lab VIEW软件进行的。该模型适用于识别特定的异常。信号然后被馈送到PC通过NI猫王DAQ。将模拟波形转换为数字波形进行分析,以检测采集到的心电信号的R峰,并将其发送到包含心电条件的环路中,从而进行心电疾病的识别。根据对心电信号的分析结果,并与环路条件进行比较,可以即时识别并显示心脏疾病。首先利用小波去噪和未消差小波变换(UWT)去噪,然后利用心电特征提取器对去噪后的心电信号进行特征提取。心电信号中的一个心动周期由P-QRS-T波组成。P-QRS-T段的振幅和间隔值决定了每个人的心脏功能。QRS检测,特别是心脏信号中的R波,由于其结构形式和高振幅,比心电信号的其他部分更容易检测。R波是该复合体中最重要的部分之一,它在诊断心律失常和确定心率变异性方面具有重要作用。
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International Journal of Applied Engineering Research (Netherlands)
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