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A Review on Heat Transfer Improvent of Plate Heat Exchanger

机译:板式换热器传热改进研究进展

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Plate heat exchanger has found a wide range of application in various industries like food industries, chemical industries, power plants etc. It reduces the wastage of energy and improves the overall efficiency of the system. Hence, it must be designed to obtain the maximum heat transfer possible. This paper is presented in order to study the various theories and results given over the improvement of heat transfer performance in a plate heat exchanger. However, there is still a lack in data and generalized equations for the calculation of different parameters in the heat exchanger. It requires more attention to find out various possible correlations and generalized solutions for the performance improvement of plate heat exchanger. × Copy and Paste Abhishek Nandan, Gurpreet Singh Sokhal, Sandeep Kumar, Amit Singla, "A Review on Heat Transfer Improvent of Plate Heat Exchanger" Vol. 5 - Issue 3 (March - 2015), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com × Adaptive and Fast Predictions by Minimal Itemsets Creation Ms. Sonali Vaidya, Mr. Struan Souto, Mr. Keegan Pereira, Mr. Vincent Soares, Mr. Neil Rego [ Abstract ] [ PDF ] [ Cite ] Abstract: Association rules in data mining are useful for the analysis and prediction of an individual user's behavior which facilitates the data analysis on a regular basis for market basket data, clustering of products, designing catalogs and playing an immense role for store layout setting. This paper presents a successor of the Apriori and variation of the CHARM algorithm, which is the MG-CHARM algorithm that is used for finding relationships between certain attributes instead of the whole dataset. The MG-CHARM algorithm is an Association Rule Mining (ARM) algorithm that is used to select the target database which in turn takes less time to find the desired association rules. In the proposed implementation, the actions performed by a user will be effectively recorded in the target database. The datasets that are generated will have to be fed to the semi - automated, adaptive software which will fetch the output based on ARM algorithm. The algorithm will determine the relations for different datasets by mining Minimal Generators (mGs) from Frequently Closed Itemsets (FCI's) to carry out decision making and pattern analysis of the Itemsets. Keywords: Apriori, CHARM, MG-CHARM, ARM, mG's, FCI's × Copy and Paste Ms. Sonali Vaidya, Mr. Struan Souto, Mr. Keegan Pereira, Mr. Vincent Soares, Mr. Neil Rego, "Adaptive and Fast Predictions by Minimal Itemsets Creation" Vol. 5 - Issue 3 (March - 2015), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com × Improved Snr Of Mst Radar Signals By Kaiser-Hamming And Cosh-Hamming Window Functions D.Ravi Krishna Reddy, Dr.B.Anuradha [ Abstract ] [ PDF ] [ Cite ] Abstract: In this paper the effect of window shape parameter "α? in Kaiser-Hamming and Cosh-Hamming window functions on the signal to noise ratio (SNR) values of the Indian Mesosphere-Stratosphere-Troposphere (MST) radar is computed. The six parts of multibeam observations of the lower atmosphere made by the MST radar are utilized for the analysis of results. Prior to the Fourier transformation, the in-phase and quadrature components of radar echo samples are weighted with proposed windows based on the Kaiser-Hamming and Cosh-Hamming Window functions. The effects of data weighting with the change of the window shape parameter "α? of the Kaiser-Hamming and Cosh-Hamming Window functions are given in it. It is noted that the increase of variable window shape parameter "α? increases the signal to noise ratio values and a better improvement is reported. For Kaiser-Hamming and Cosh-Hamming Window functions are proposed to analyze the MST radar return signals to obtain optimum values of the window shape parameter. The results shows the improvement of signal to noise ratio of noisy data due to the effect of side lobe reduction and demands for the design of the optimal window functions. Index Terms— Kaiser-Hamming and Cosh-Hamming window functions, SNR, DFT and Spectral Analysis. × Copy and Paste D.Ravi Krishna Reddy, Dr.B.Anuradha, "Improved Snr Of Mst Radar Signals By Kaiser-Hamming And Cosh-Hamming Window Functions" Vol. 5 - Issue 3 (March - 2015), International Journal of Engineering Research and Applications (IJERA) , ISSN: 2248-9622 , www.ijera.com × Next generation architecture examination for Mass Notification System(MNS) collaborating with CCTV for Smart & Safe City Tae Hyung, Kim, Ji In Chae, Do Nyun Kim [ Abstract ] [ PDF ] [ Cite ] Abstract: The abstract should summarize the content of the paper. Try to keep the abstract below 200 words. Do not make references nor display equations in the abstract. The journal will be printed from the same-sized copy prepared by you. Your manuscript should be printed on A4 paper (21.0 cm x 29.7 cm). It is imperative that the margins and style
机译:板式换热器已经在食品,化学工业,发电厂等各种行业中得到了广泛的应用。它减少了能源浪费,提高了系统的整体效率。因此,必须将其设计为获得最大的热传递。提出本文是为了研究在板式换热器中改善传热性能的各种理论和结果。但是,仍然缺少用于计算热交换器中不同参数的数据和广义方程。需要更多的注意力来发现各种可能的相关性和用于板式换热器性能改进的通用解决方案。 ×复制并粘贴Abhishek Nandan,Gurpreet Singh Sokhal,Sandeep Kumar,Amit Singla,“板式换热器传热改进剂综述”,第1卷。 5-第3期(2015年3月),国际工程研究与应用杂志(IJERA),ISSN:2248-9622,www.ijera.com×最小项集创建的自适应和快速预测Sonali Vaidya女士,Struan Souto先生,Keegan Pereira先生,Vincent Soares先生,Neil Rego先生[摘要] [PDF] [引用]摘要:数据挖掘中的关联规则可用于分析和预测单个用户的行为,从而有助于对用户的数据进行分析。定期提供购物篮数据,产品集群,设计目录并为商店布局设置发挥巨大作用。本文介绍了CHARM算法的Apriori和变体的后继者,该算法是MG-CHARM算法,用于查找某些属性之间的关系而不是整个数据集。 MG-CHARM算法是一种关联规则挖掘(ARM)算法,用于选择目标数据库,而目标数据库反过来会花费较少的时间来查找所需的关联规则。在提出的实现中,由用户执行的动作将有效地记录在目标数据库中。生成的数据集将必须输入到半自动的自适应软件中,该软件将基于ARM算法获取输出。该算法将通过从频繁关闭的项目集(FCI)中挖掘最小生成器(mG)来进行决策和模式分析,从而确定不同数据集的关系。关键字:Apriori,CHARM,MG-CHARM,ARM,mG,FCI×复制并粘贴Sonali Vaidya女士,Struan Souto先生,Keegan Pereira先生,Vincent Soares先生,Neil Rego先生,“自适应和快速预测最小项集创建”卷。 5-第3期(2015年3月),国际工程研究与应用(IJERA),ISSN:2248-9622,www.ijera.com×通过Kaiser-Hamming和Cosh-Hamming窗函数D改善了Mst雷达信号的Snr .Ravi Krishna Reddy,B。Anuradha博士[摘要] [PDF] [引用]摘要:本文中,Kaiser-Hamming和Cosh-Hamming窗函数中的窗形参数“α?”对信噪比的影响(计算了印度中层-平流层-对流层(MST)雷达的SNR)值,并利用MST雷达对低层大气进行的多束观测的六个部分进行了结果分析。在进行傅立叶变换之前,基于Kaiser-Hamming和Cosh-Hamming窗函数,利用建议的窗对雷达回波样本的相位和正交分量进行加权。其中给出了Kaiser-Hamming和Cosh-Hamming窗口函数。注意,增加可变窗口形状参数“α”会增加信噪比值,并且有更好的改善。针对Kaiser-Hamming和Cosh-Hamming窗口函数,建议对MST雷达返回信号进行分析以获得最佳结果表明,由于减少了旁瓣的影响以及对最佳窗函数的设计要求,噪声数据的信噪比有所改善。索引项— Kaiser-Hamming和Cosh-Hamming窗×复制和粘贴D.Ravi Krishna Reddy,B。Anuradha博士,“通过Kaiser-Hamming和Cosh-Hamming窗函数改进了Mst雷达信号的Snr”,第5卷-第3期( 2015年3月),国际工程研究与应用杂志(IJERA),ISSN:2248-9622,www.ijera.com×与CCTV合作,为智能安全城市Tae Hyung进行的大规模通知系统(MNS)的下一代体系结构检验,金Ji In Chae,Do Nyun Kim [摘要] [PDF] [引用]摘要:摘要应概述本文的内容。尝试将摘要的字数保持在200字以下。不要引用也不要抽象显示方程式。日记将从您准备的相同尺寸的副本中打印出来。您的稿件应打印在A4纸(21.0厘米x 29.7厘米)上。边际和风格势在必行

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