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Performance Analysis of various Schemes for Source-Location Privacy Preserving Wireless Sensor Networks 源位置保密无线传感器网络各种方案的性能分析
IF 0.7 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-04-17 DOI: 10.37896/pd91.4/91473
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引用次数: 0
Design a Non-Linear Conical Tank System with Continuous Tuning and Adaptive Fractional Order PID Controller 设计一种具有连续整定和自适应分数阶PID控制器的非线性锥形水箱系统
IF 0.7 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-04-17 DOI: 10.37896/pd91.4/91438
A. Rajendran, M. Karthikeyan, G. SaravanaKumar
: The proposed research idea is to design a continuously tuned adaptive Fractional order PID controller for a non-linear conical tank system. An adaptive auto tuning approach will be implemented to continuously tune the controller parameters in correspondence with the change in operating points. For each stable operating point, a FOPTD model will be identified using process reaction curve method. The estimated model parameters are used to calculate the controller parameters for each operating points. Based on these calculated controller parameters and its operating points, a tuning system will be designed. The tuning system will be able to interpolate and extrapolate the relation between control variable and the controller parameters over entire span of control variables. Finally, a detailed time-domain modeling of the conical tank will be performed. Microcontroller based DAQ to interface the simulink tool with the system. Thus the adaptive controller will be able to produce a consistent response regardless of parametric variations with minimum overshoots, minimum settling time, and minimum tuning parameters to obtain a critically damped system.
提出的研究思路是为非线性锥形油箱系统设计一种连续调谐自适应分数阶PID控制器。采用自适应自整定方法,根据工作点的变化对控制器参数进行连续整定。对于每个稳定工作点,采用过程反应曲线法确定FOPTD模型。利用估计的模型参数计算每个工作点的控制器参数。根据这些计算出的控制器参数及其工作点,设计出整定系统。整定系统将能够在整个控制变量范围内内插和外推控制变量与控制器参数之间的关系。最后,对锥形储罐进行了详细的时域建模。基于DAQ的微控制器将simulink工具与系统连接起来。因此,无论参数变化如何,自适应控制器都能够产生一致的响应,具有最小的超调量,最小的稳定时间和最小的调谐参数,以获得临界阻尼系统。
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引用次数: 0
An Ensemble Learning and Swarm Based Segmentation Framework for Video Event Recognition 基于集成学习和群的视频事件识别分割框架
IF 0.7 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-04-17 DOI: 10.37896/pd91.4/91440
R. Kavitha, D. Chitra, N. Priyadharsini, A. Kaliappan
Video event recognition aims to recognize the spatiotemporal visual patterns of events from videos. In recent years, event recognition has attracted growing interest from both academia and industry. Recognizing events in surveillance videos is still quite challenging, largely due to the tremendous intra class variations of events caused by visual appearance differences, target motion variations, viewpoint change and temporal variability. The existing system designed an extreme learning machine and action recognition algorithm for generalized maximum clique problem in video event recognition. The implemented system designed an enhanced ensemble deep learning and swarm based segmentation framework for video event recognition. The presented ensemble framework in that not only decreases the information loss and overfitting problems caused by single models. Initially, a video frames are taken as an input and most salient information extract from it. The VLAD for feature encoding is utilized for feature encoding. The segmentation process is done with the help of Random Inertia Weight based Particle Swarm Optimization (RIWPSO) of successive frames are exploited for pattern matching in a simple feature space. Thereafter, an Ensemble Learning (EL) is developed based on the performance of each SVM and Elman Recurrent Neural Network (ERNN) classifier on each feature set. Thus the simulation results demonstrate the effectiveness of the implemented enhanced ensemble deep learning technique for video event recognition compare to the existing methods.
视频事件识别旨在从视频中识别事件的时空视觉模式。近年来,事件识别引起了学术界和工业界越来越多的关注。在监控视频中识别事件仍然具有相当大的挑战性,很大程度上是由于视觉外观差异、目标运动变化、视点变化和时间变化导致的类内事件的巨大变化。现有系统针对视频事件识别中的广义最大团问题设计了极限学习机和动作识别算法。实现的系统为视频事件识别设计了一个增强的集成深度学习和基于群的分割框架。所提出的集成框架不仅减少了单一模型带来的信息丢失和过拟合问题。首先,将视频帧作为输入,并从中提取最重要的信息。利用特征编码的VLAD进行特征编码。分割过程采用基于随机惯性权重的粒子群优化算法(RIWPSO),利用连续帧在简单特征空间中进行模式匹配。然后,基于每个SVM和Elman递归神经网络(ERNN)分类器在每个特征集上的性能,开发了一个集成学习(EL)。仿真结果表明,与现有方法相比,所实现的增强集成深度学习技术在视频事件识别中的有效性。
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引用次数: 0
Experimental Study of Solar Still Using External Condensation Technique 外冷凝太阳能蒸馏器的实验研究
IF 0.7 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-04-17 DOI: 10.37896/pd91.4/91472
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引用次数: 0
Microwave absorbing applications: Characterization of the Electromagnetic and Mechanical Properties of Iron Reinforced Natural Fiber Composites 微波吸收应用:铁增强天然纤维复合材料电磁和力学性能的表征
IF 0.7 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-04-17 DOI: 10.37896/pd91.4/91441
DR. Robin Kumar Samuel, Dr. N. Kanthavelkumaran, D. A. M. Retna
It is still difficult to create an effective microwave absorption composite made of natural Fibers that also has strong tensile and electromagnetic properties. In this study, experiments are carried out to create new hybrid microwave absorbent composites made of jute Fibers bonded with iron. This experimental study's goal is to improve absorption and widen the absorption bandwidth while maintaining acceptable tensile properties. Hence four samples have been used been created and tested with varying iron levels and a constant jute Fiber content. The waveguide-based microwave measuring approach has been used to measure the electromagnetic parameters. It is discovered that an ideal sample has good X-band microwave absorption characteristics. Additionally, the created composite is put to the tensile test, where it is discovered to have an average Young's modulus. Current investigation to observe the values of 9.4 GPa for the modulus, 0.08 for the ultimate strain, and an average ultimate 49 MPa is the tensile strength value. Analyses using a scanning electron microscope were used for the interior failure behavior of the tensile-tested specimen and establish the primary mechanisms of failure like matrix cracking, Fiber breaking, and delamination failure. The outcomes show the potential of the manufactured composite for diverse tactical uses. determined (transmission and reflection coefficients). At room temperature, all measurements were taken.
用天然纤维制造一种有效的微波吸收复合材料,同时又具有很强的拉伸和电磁性能,这仍然是很困难的。本研究以黄麻纤维与铁结合为材料,制备了一种新型杂化微波吸收复合材料。本实验研究的目标是在保持可接受的拉伸性能的同时提高吸收和扩大吸收带宽。因此,用不同的铁含量和恒定的黄麻纤维含量制作了四个样品并进行了测试。采用基于波导的微波测量方法对电磁参数进行了测量。发现理想样品具有良好的x波段微波吸收特性。此外,将合成的复合材料进行拉伸测试,发现其具有平均杨氏模量。目前调查观察到的模量值为9.4 GPa,极限应变值为0.08,抗拉强度值平均为极限49 MPa。利用扫描电镜对拉伸试样的内部破坏行为进行了分析,并建立了基体开裂、纤维断裂和分层破坏的主要破坏机制。研究结果表明,人造复合材料具有多种战术用途的潜力。已确定(透射和反射系数)。在室温下进行所有测量。
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引用次数: 0
Influence of Al and Si Oxides in Geopolymer Nano-Silica Composite 铝和硅氧化物对地聚合物纳米二氧化硅复合材料的影响
IF 0.7 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-04-16 DOI: 10.37896/pd91.4/91437
A. Lincy, R. Velkennedy
Geopolymerization is a chemical process in Geopolymer concrete, which involves under the alkaline condition with Si and Al minerals, it brings in a 3D polymeric chain and ring structure brings of Si-O-Al-O-Si bonds. Geopolymer concrete is an innovative material that is characterized by long chains or networks of inorganic molecules. It is a potential alternative to conventional Portland cement concrete for use in construction. In this paper, the examination concerns the utilization of an ideal mix of pozzolanic material such as Ground Granulated Blast furnace Slag (GGBS) with an alkaline solution as the binder. Moreover, Metakaolin which is rich in silica and aluminum is added as an admixture to increase the strength of the Geopolymer concrete. In addition, Nano-silica is utilized to decrease the pores and boosts the strength of geopolymer concrete. The Chemical composition of the materials, mixing proportions and curing methods play an important role in the development of strength and influence the rate of polymerization. 30 mixes were outlined at different extents such as 10%, 20%, 30%, 40% and 50% of Metakaolin and 0.5% and 1% of Nano-silica at ambient curing. It is observed that the result of compressive strength at 30% of Metakaolin and 0.5% of Nano-silica gives high strength. At the same combination, the chemical analysis also revealed an increase in the strength of concrete with this level of Silica and Alumina content.
地聚合是地聚合物混凝土中的一种化学过程,它与Si、Al矿物在碱性条件下,形成三维聚合链,形成Si- o -Al- o -Si键的环状结构。地聚合物混凝土是一种创新材料,其特点是无机分子的长链或网络。它是一种潜在的替代传统波特兰水泥混凝土用于建筑。在本文中,研究了使用一种理想的混合火山灰材料,如磨粒高炉渣(GGBS)与碱性溶液作为粘合剂。此外,还添加了富含二氧化硅和铝的偏高岭土作为外加剂,以提高地聚合物混凝土的强度。此外,纳米二氧化硅被用于减少孔隙,提高地聚合物混凝土的强度。材料的化学组成、混合比例和固化方法对强度的发展起着重要的作用,并影响聚合的速度。在环境固化条件下,以10%、20%、30%、40%、50%偏高岭土和0.5%、1%纳米二氧化硅的掺量分别对30种混合料进行了概述。结果表明,30%偏高岭土和0.5%纳米二氧化硅的抗压强度较高。在相同的组合下,化学分析还揭示了这种硅和氧化铝含量水平下混凝土强度的增加。
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引用次数: 0
Performance Study on Electro Chemical Machining with Fuzzy Optimization 基于模糊优化的电化学加工性能研究
IF 0.7 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-04-16 DOI: 10.37896/pd91.4/91436
Dr. S. Radjarejesri, S. L. Kumar, S. Saranya
— Electrochemical Machining (ECM) primarily used to cut hard or difficult-to-cut metals. Influence of Sodium Nitrate solution (NaNO3) on Material Removal Rate (MRR), Surface roughness, and Overcut of high hardened die steel by ECM is investigated. In order to maximise MRR while minimising surface roughness and overcut, the effects of NaNO3 aqua solution on the work piece have been researched, and a relationship between the factors has been established. The NaNO3 aqua electrolyte solution provided improved results in terms of MRR, surface roughness, and overcut when electrochemically machining high hardened die steel.
-电化学加工(ECM)主要用于切割坚硬或难以切割的金属。研究了硝酸钠溶液(NaNO3)对高硬化模型钢ECM材料去除率、表面粗糙度和过切量的影响。为了最大限度地提高MRR,同时最小化表面粗糙度和过切,研究了NaNO3水溶液对工件的影响,并建立了各因素之间的关系。当电化学加工高硬化模钢材时,NaNO3水电解质溶液在MRR、表面粗糙度和过切方面提供了改善的结果。
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引用次数: 0
Performance Analysis of Data Security Mechanisms for Data Deduplication in Hybrid Cloud Computing Environment 混合云计算环境下重复数据删除数据安全机制性能分析
IF 0.7 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-04-16 DOI: 10.37896/pd91.4/91469
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引用次数: 0
The Effect of Stacking Sequence on the Mechanical Properties of Sic Added Epoxy Matrix Reinforced with Carbon/Kevlar Fabrics 堆积顺序对碳素/凯夫拉纤维增强Sic环氧基织物力学性能的影响
IF 0.7 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-04-16 DOI: 10.37896/pd91.4/91468
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引用次数: 0
Twin Labeled Virtual Private Network Above Multi-Protocol Label Switching Network for VoIP 用于VoIP多协议标签交换网络的双标签虚拟专用网
IF 0.7 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-04-16 DOI: 10.37896/pd91.4/91435
Manashaa Madhavan
— Multi-protocol label switching network (MPLS)is implemented in Virtual Private Network (VPN) to effectively fulfill the demands o f Voice Over Internet Protocol (VoIP) services in a secure and effective way. The proposed idea is to differentiate the clients with in a network by adding them to a virtual private network by enabling different t e c h n i q u e s l i k e virtual routing and forwarding system. The need of high security within the network along with better transmission speed for sharing data and information is achieved by enabling Multi-protocol label switching within the network of a big organization. Going Forward, the configurations of the network are controlled by assig ning an IP address to route itself within the network using a unique identity by enabling Open Shortest Path First (OSPF) protocol. The initial proof of the proposed network is built using a simulator commonly known as the GNS3. In which we use the Border gateway protocol (BGP) to create MPLS–VPN network between customer end and edge router in the server end. This established a premeditated network that proves to enhance the virtual routing in an efficient way which is clearly demonstrated by the simulation outputs
—MPLS (Multi-protocol label switching network)是在VPN (Virtual Private network)中实现的,可以安全有效地满足VoIP (Voice Over Internet Protocol)业务需求。提出的思路是通过在虚拟专用网中启用不同的路由和转发系统,将客户端添加到虚拟专用网中,从而区分网络中的客户端。通过在大型组织的网络中启用多协议标签交换,可以实现网络内的高安全性需求以及共享数据和信息的更好的传输速度。今后,通过启用开放最短路径优先(Open Shortest Path First, OSPF)协议,通过分配IP地址在网络中使用唯一标识来路由自身,从而控制网络的配置。提议的网络的初始证明是使用通常称为GNS3的模拟器构建的。其中,我们使用边界网关协议(BGP)在客户端和服务器端的边缘路由器之间建立MPLS-VPN网络。通过仿真结果可以清楚地证明,这种预先准备的网络可以有效地增强虚拟路由
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引用次数: 0
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Periodico Di Mineralogia
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