Journal of Emerging Science and Engineering最新文献

Soft computing-based modelling and optimization of NOx emission from a variable compression ratio diesel engine 基于软计算的可变压缩比柴油发动机氮氧化物排放建模与优化

Journal of Emerging Science and Engineering Pub Date : 2024-04-22 DOI: 10.61435/jese.2024.e21

Prabhu Paramasivama, K. Naima, Marek Dzida

引用次数: 0

Investigations on co-gasification and combustion characteristics of coal biomass blend as an alternative transport fuel for tri-cycles 煤炭生物质混合燃料作为三轮车替代运输燃料的共气化和燃烧特性研究

Journal of Emerging Science and Engineering Pub Date : 2024-04-20 DOI: 10.61435/jese.2024.e20

Benson Kariuki, Paul Njogu, Joseph Kamau, R. Kinyua, Reiner Malessa, Sameer Bachani

{"title":"Investigations on co-gasification and combustion characteristics of coal biomass blend as an alternative transport fuel for tri-cycles","authors":"Benson Kariuki, Paul Njogu, Joseph Kamau, R. Kinyua, Reiner Malessa, Sameer Bachani","doi":"10.61435/jese.2024.e20","DOIUrl":"https://doi.org/10.61435/jese.2024.e20","url":null,"abstract":"Kenya discovered huge deposit of lignite-coal, better utilized through co-gasification to produce syngas, a clean and environmental friendly fuel, with easier application in engines. Blends of Mui-basin coal (MBC), Prosporis juliflora(PJ), Hyphanae compressa(HC) and rice husk(RH) were co-fired with resultant upgraded-syngas operating tricycle engine. Analyzed upgraded-syngas reported improved yields on combustible gases and Hydrogen/Carbon-monoxide ratio (low rank to moderate). Calorific values reported 3.2-11.2% increase. At half-load and relative to neat diesel (ND), peak-pressure improved by 31.6%(MBC-PJ), 24.0%(MBC-HC) and 14.6%(MBC-RH). Additionally, peak-pressure increases as load increases and shifts to the right of top-dead-centre with reported increase of 13.1%MBC-PJ, 15.4%MBC-HC, 18.3 % MBC-RH and 16.5 % for ND. Moreover, Net heat release rate (NHRR) in J/degree increased rapidly at 15-25oafter/TDC for all loads and also increased as the load increased with values of 33.4(HC), 26.8(ND), 28.8(RH) and 37.8(PJ) at no load and 35(HC), 27.8(ND), 30(RH), and 38.9(PJ) at full load condition. The optimal approach for sustainably utilization of MBC is through the novel fuel, in which MBC-PJ ranks the best followed by MBC-HC and lastly MBC-RH.","PeriodicalId":511627,"journal":{"name":"Journal of Emerging Science and Engineering","volume":"124 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140680265","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

Theoretical and simulation of central elliptical hole with rectangular plate 带矩形板的中心椭圆孔的理论与模拟

Journal of Emerging Science and Engineering Pub Date : 2024-04-10 DOI: 10.61435/jese.2024.e18

M. Sivaramakrishnaiah, S.N. Pradeepkumar Reddy, P. M. Raghava, B.V. Amaranathareddy

引用次数: 0

Analysis of the Surface Roughness of 3D-Printed Occlusal Splints fabricated using biocompatible resins 使用生物相容性树脂制作的三维打印咬合夹板表面粗糙度分析

Journal of Emerging Science and Engineering Pub Date : 2024-04-07 DOI: 10.61435/jese.2024.e17

Sumit Gahletia, Ashish Kaushik, Ramesh Kumar Garg

{"title":"Analysis of the Surface Roughness of 3D-Printed Occlusal Splints fabricated using biocompatible resins","authors":"Sumit Gahletia, Ashish Kaushik, Ramesh Kumar Garg","doi":"10.61435/jese.2024.e17","DOIUrl":"https://doi.org/10.61435/jese.2024.e17","url":null,"abstract":"Nowadays, in order to promote innovation and sustainable product design and manufacturing of occlusal splints, the dental profession requires significant upgrades in the form of novel materials and cutting-edge manufacturing technologies. Researchers and Industry frontrunners are constantly challenged to improve the properties of splint developed using three dimensional scanning and resin printing to meet consumer demand, as the ability of dental practitioners to take accurate impressions remains a major obstacle in dental laboratories. The proposed study outlines a digital manufacturing process for occlusal splints created with three-dimensional scanning and resin printing. The study also analysed the occlusal splints in terms of geometrical preciseness and surface roughness along with the costs involved during 3D printing a resin-based occlusal splint. Occlusal splints were created by scanning impressions made on a typodont model and then designing them in 3D modelling software. The splints were developed in MIMICS and 3D printed to a thickness of 10 microns using Rigid white methacryalate based resin material on a 3D systems DLP Figure IV standalone resin 3D printer to create a biocompatible occlusal splint. Splint tooth height was determined for geometric analysis. Surface roughness of splintwas measured using SURFCOM surface roughness tester. Resins used in 3D printing were proven to produce geometrically precise splints, the study showed. In conclusion, UV curable resin-based occlusal splints that have been 3D printed and cured are recommended for patient usage due to their increased accuracy and the ability to save processing time.","PeriodicalId":511627,"journal":{"name":"Journal of Emerging Science and Engineering","volume":"50 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140733096","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

Shrimp and Fish Underwater Image Clasification Using Features Extraction and Machine Learning 利用特征提取和机器学习进行虾和鱼水下图像分类

Journal of Emerging Science and Engineering Pub Date : 2024-04-06 DOI: 10.61435/jese.2024.e14

Arif Setiawan, H. Hadiyanto, C. E. Widodo

{"title":"Shrimp and Fish Underwater Image Clasification Using Features Extraction and Machine Learning","authors":"Arif Setiawan, H. Hadiyanto, C. E. Widodo","doi":"10.61435/jese.2024.e14","DOIUrl":"https://doi.org/10.61435/jese.2024.e14","url":null,"abstract":"Shrimp cultivation is one type of cultivation that has a significant impact on the social status of coastal communities. Shrimp farming traditionally faces several challenges, including water pollution, imbalances in temperature, feed, media, and costs. Monitoring the condition of shrimp in the cultivation environment is very necessary to determine the condition of shrimp in the water. Classification of shrimp and fish is the first step in monitoring the condition of shrimp underwater. This research proposes the development of a method for classifying shrimp and fish underwater using feature extraction and machine learning. The flow of this research is: (1) preparing data from ROI detection results, (2) extraction process of morphometric characteristics P and T, (3) calculating the value of morphometric characteristics P and T, (4) data breakdown for training data and testing data, (5) Model creation process, data training and data testing using SVM, RF, DT, and KNN, (6) Evaluation of classification results using a confusion matrix. From this research, it was found that the Random Forest method obtained the highest accuracy, namely 0.93. From this matrix, the values obtained are True Positive = 349, False Positive = 28, True Negative = 223, False Negative = 0.","PeriodicalId":511627,"journal":{"name":"Journal of Emerging Science and Engineering","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140735108","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

Hyperparameter optimization for hourly PM2.5 pollutant prediction 每小时 PM2.5 污染物预测的超参数优化

Journal of Emerging Science and Engineering Pub Date : 2024-04-05 DOI: 10.61435/jese.2024.e15

Aziz Jihadian Barid, H. Hadiyanto

引用次数: 1