International Journal of Engineering and Emerging Technology最新文献

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Preliminary Study on Various Shaped Models of Delivery valve in Hydraulic Ram Pump – Experimental Results 液压柱塞泵输送阀不同形状模型的初步研究-实验结果

International Journal of Engineering and Emerging Technology Pub Date : 2020-08-03 DOI: 10.24843/ijeet.2020.v05.i01.p09

M. Suarda, I. W. Kusuma, M. Sucipta, A. Ghurri

{"title":"Preliminary Study on Various Shaped Models of Delivery valve in Hydraulic Ram Pump – Experimental Results","authors":"M. Suarda, I. W. Kusuma, M. Sucipta, A. Ghurri","doi":"10.24843/ijeet.2020.v05.i01.p09","DOIUrl":"https://doi.org/10.24843/ijeet.2020.v05.i01.p09","url":null,"abstract":"Four shaped models of delivery valve had been investigated and compared to improve performance of a hydraulic ram. Hydraulic ram pumps have been constructed and operated. Most of them built locally using steel pipe fittings that commercially accessible in the market rather than factory-made one. These have assisted inhabitants in rural or hilly area where water sources available for water supply services or irrigations. However, the major problem challenged by the public was on designing and repairing of the impulse and delivery valves of the pumps. Performance of the pumps are affected predominantly by the both valves. One characteristic of the valves is their shape. Considered on the characteristics of the fluid flow through surface of plate and sphere object are different on the pattern and losses. Therefore, investigation is necessitated to find a proper shape of the delivery valve for enhancing the performance of the pump. In this research four valve models were experimented to assess the hydraulic ram pump performance on varies delivery heads. The results show that the sphere model of the delivery valve offered the best efficiency, then followed by the membrane, the half-sphere and the flat delivery valve models. However, the rounded model: sphere and half-sphere delivery valve model were facing obstructions in implementation for a high delivery head.","PeriodicalId":365777,"journal":{"name":"International Journal of Engineering and Emerging Technology","volume":"16 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129502108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Web-based Application for Classification Using Naïve Bayes and K-means Clustering (Case Study: Tic-tac-toe Game) 基于web的Naïve贝叶斯和K-means聚类分类应用(以井字游戏为例)

International Journal of Engineering and Emerging Technology Pub Date : 2020-07-27 DOI: 10.24843/ijeet.2020.v05.i01.p04

I. Indriyani, M. I. A. Putera

{"title":"Web-based Application for Classification Using Naïve Bayes and K-means Clustering (Case Study: Tic-tac-toe Game)","authors":"I. Indriyani, M. I. A. Putera","doi":"10.24843/ijeet.2020.v05.i01.p04","DOIUrl":"https://doi.org/10.24843/ijeet.2020.v05.i01.p04","url":null,"abstract":"A database can consist of numerical and non-numerical attributes. However, several data processing algorithms, such as K-means clustering, can be used only in a dataset with numerical attributes. Data generalization by using Naïve Bayes and K-means clustering methods is usually employed WEKA (Waikato environment for knowledge analysis) application. Although the strength of WEKA lies in increasingly complete and sophisticated algorithms, the success of data mining still lies in the knowledge factor of the human implementer. The task of collecting high-quality data and knowledge of modeling and the use of appropriate algorithms is needed to guarantee the accuracy of the expected formulations. In this paper, we propose a simple web-based application that can be used like WEKA. The methodology used in this study includes several stages. The first stage is the preparation of data, which is the tic-tac-toe game dataset that is converted to CSV (comma-separated values) format. The next stage is the process of modifying data from non-numeric to numeric, specifically for clustering with the K-means algorithm. Afterward, the calculation of the distance between data is conducted and followed by data clustering. The final stage is the summary of these processes and results. From the experimental results, it was found that clustering can be done on categorical attributes that are transformed first into the numerical form using web-based applications.","PeriodicalId":365777,"journal":{"name":"International Journal of Engineering and Emerging Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125706678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1