International Research Journal on Advanced Engineering Hub (IRJAEH)最新文献_第7页

Prediction of Optimum Dosage of Coagulant in Water Treatment Plant: A Comparative Study between Artificial Neural Network and Random Forest 水处理厂混凝剂最佳用量的预测：人工神经网络与随机森林的比较研究

International Research Journal on Advanced Engineering Hub (IRJAEH) Pub Date : 2024-05-23 DOI: 10.47392/irjaeh.2024.0194

Nitin T. Sawalkar, Sagar W. Jadhav, Alpita A. Pawar

{"title":"Prediction of Optimum Dosage of Coagulant in Water Treatment Plant: A Comparative Study between Artificial Neural Network and Random Forest","authors":"Nitin T. Sawalkar, Sagar W. Jadhav, Alpita A. Pawar","doi":"10.47392/irjaeh.2024.0194","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0194","url":null,"abstract":"Raw water, sourced directly from natural water bodies, is unsuitable for direct consumption due to the presence of various impurities. Therefore, it undergoes treatment at a Water Treatment Plant (WTP) before being supplied to the public. Preliminary treatment involves the removal of floating matter, through screening, while heavier particles settle out by gravity, fine particles remain in suspension, causing turbidity. Effective removal of these suspended particles requires coagulation to form flocs and facilitate the settling. Determining the optimal coagulant dosage is crucial, as both underdoing and overdosing of coagulant can lead to ineffective treatment and increased costs. Conventionally optimum dosage of coagulant is determined by performing jar test. This study focuses on predicting the optimum coagulant dosage using two soft computing techniques: Artificial Neural Network (ANN) and Random Forest (RF). The Input parameters for model development include turbidity, pH, temperature, and alkalinity of raw water from the Parvati Water Treatment Plant, Pune. In this study Four models were developed, namely Model A (Turbidity), Model B (pH, Alkalinity, Temperature, Turbidity), Model C (pH, Alkalinity, Temperature), and Model D (Alkalinity and Turbidity). These models were trained using ANN and RF. Predictions of optimum coagulant doses were made for the testing dataset, and model accuracy was evaluated using Scatter plots, Root Mean Squared Error (RMSE) and Coefficient of Correlation (R). Results indicate that RMSE values of ANN Models are comparatively lower than RF. Comparing among Models A, B, C, and D, Model B and Model D exhibit better performance, with lower RMSE values.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"28 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141104053","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

Evaluating Residual Strength of RCC Tanks Affected by ASR Using NDT Methods 使用无损检测方法评估受 ASR 影响的 RCC 储罐的残余强度

International Research Journal on Advanced Engineering Hub (IRJAEH) Pub Date : 2024-05-23 DOI: 10.47392/irjaeh.2024.0187

Praveen Mathur, Archana Bohra Gupta

{"title":"Evaluating Residual Strength of RCC Tanks Affected by ASR Using NDT Methods","authors":"Praveen Mathur, Archana Bohra Gupta","doi":"10.47392/irjaeh.2024.0187","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0187","url":null,"abstract":"This case study focuses on the groundwater level tanks (GLR) located in Netra Village, 35 km from Jodhpur, on Nagour Road. The investigation revealed that people and livestock in the area were grappling with water scarcity issues. Non-Destructive Testing (NDT) methods were employed to assess the residual strength of three tanks in the region. The results showed that Tank-1 had a residual strength of 35.41%, Tank-2 had 63.08%, and Tank-3 had 53.8%. Alkali-silica reaction (ASR) poses a significant threat to the structural integrity of concrete tanks, necessitating accurate and non-destructive methods for residual strength assessment. This research paper delves into the effectiveness of NDT methods, specifically rebound hammer and Ultrasonic Pulse Velocity (UPV), in evaluating the residual strength of ASR-affected tanks. Through an extensive review of literature, case studies, and experimental data, this study aims to shed light on the practical application of rebound hammer and UPV for ASR assessment in tank structures. The paper discusses the principles, advantages, and limitations of each NDT method, emphasizing their ability to detect ASR-induced damage and predict the remaining structural capacity of tanks. Moreover, the research addresses the challenges associated with implementing rebound hammer and UPV techniques in ASR-affected environments, offering recommendations for enhancing their reliability and accuracy. By harnessing the combined capabilities of rebound hammer and UPV, engineers and asset managers can make well-informed decisions regarding the maintenance, repair, and retrofitting of ASR-affected tanks, ensuring their long-term safety and functionality in critical infrastructure applications.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"16 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141104613","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

Detection and Classification of ChatGPT Generated Contents Using Deep Transformer Models 使用深度变换器模型检测和分类 ChatGPT 生成的内容

International Research Journal on Advanced Engineering Hub (IRJAEH) Pub Date : 2024-05-23 DOI: 10.47392/irjaeh.2024.0193

Sushma D S, Pooja C N, Varsha H S, Yasir Hussain, P Yashash

引用次数: 1

Drowsiness Detection and Alert System 瞌睡检测和警报系统

International Research Journal on Advanced Engineering Hub (IRJAEH) Pub Date : 2024-05-23 DOI: 10.47392/irjaeh.2024.0188

Manish Mate, Abhishek Sahu, Atharva Kadam, Rajat Tandulkar, Arpita Agarwal

引用次数: 0

Beginner Friendly Drawing Pad Using AI 使用人工智能的初学者友好画板

International Research Journal on Advanced Engineering Hub (IRJAEH) Pub Date : 2024-05-23 DOI: 10.47392/irjaeh.2024.0189

Janath Shiv K S, Nithish Sankar B, Dhanapathi.S, Ms. Kanthimathi M

引用次数: 0

Optimal Whole Slide Image Segmentation Using Generalized Normal Distribution Optimization 利用广义正态分布优化全切片图像分割

International Research Journal on Advanced Engineering Hub (IRJAEH) Pub Date : 2024-05-23 DOI: 10.47392/irjaeh.2024.0185

K.P. Shivamurthy, Dr. Raju.A. S

引用次数: 0

Study of Fabrication Process and Performance Analysis of the CDS/CDTE Based Photovoltaic Cell 基于 CDS/CDTE 的光伏电池制造工艺和性能分析研究

International Research Journal on Advanced Engineering Hub (IRJAEH) Pub Date : 2024-05-23 DOI: 10.47392/irjaeh.2024.0195

Aditi Prateek¹, Kumar Priyadarshini², S. K. Nikhil³, Choubey⁴, P. Tiwary⁵, Rajeev Ranjan

{"title":"Study of Fabrication Process and Performance Analysis of the CDS/CDTE Based Photovoltaic Cell","authors":"Aditi Prateek¹, Kumar Priyadarshini², S. K. Nikhil³, Choubey⁴, P. Tiwary⁵, Rajeev Ranjan","doi":"10.47392/irjaeh.2024.0195","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0195","url":null,"abstract":"Fabrication of CDS/CDTE based heterojunction photovoltaic cell has been undertaken to explore better light conversion efficiency. We have developed a photovoltaic cell using glass coated with Indium doped Tin Oxide (ITO) which works as transparent conducting oxide (TCO). ITO coated glass has promising prospects of enhancing the efficiency of the photovoltaic cell. ITO layers are known to be employed as anode terminal due to the negative polarity they possess compared to the whole PV cell; here, we have employed it for the same function as the front layer. During fabrication of the photovoltaic cell, the deposition of nanoparticles of CDS and CDTE layer is undertaken through doctor-blade method. We have employed pure CDS as window layer for its high band gap of 3.8 eV (particle size: 8 nm) and CDTE as absorber layer due to its high optical absorption coefficient with high mobility, good carrier lifetime and enhanced crystallographic properties. The CDS window layer and CDTE absorber layer together constitute a p-n junction where the CDS window layer captures high intensity photons and transmits the photo-excited electron to CDTE absorber layer, thereby leading to photo-current output, which serves as a base to explore and test its further applications. To obtain band gap of respective CDTE and CDS nanoparticles, optical characterization is used. Silver paste is used as rear contact to form anode terminal having good conductivity and providing better mechanical support to the photovoltaic cell.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"37 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141103936","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

Techno-Economic, Environmental, and Policy Perspectives of Carbon Capture to Fuel Technologies 碳捕集转化为燃料技术的技术经济、环境和政策视角

International Research Journal on Advanced Engineering Hub (IRJAEH) Pub Date : 2024-05-23 DOI: 10.47392/irjaeh.2024.0192

Aditya Singh, Vishesh Saini, Sambhav Jain, Anunay Gour

{"title":"Techno-Economic, Environmental, and Policy Perspectives of Carbon Capture to Fuel Technologies","authors":"Aditya Singh, Vishesh Saini, Sambhav Jain, Anunay Gour","doi":"10.47392/irjaeh.2024.0192","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0192","url":null,"abstract":"This research paper provides a comprehensive exploration of carbon capture to fuel technologies, covering various capture methodologies and conversion processes. The analysis begins by dissecting post-combustion, pre-combustion, and direct air capture technologies, elucidating their principles, advantages, and limitations. A focus on the conversion of captured carbon into usable fuels delves into synthetic fuels and hydrogen production methods, detailing chemical processes, catalysts, and energy requirements. Moving beyond technical aspects, the paper critically analyzes the efficiency and viability of carbon capture to fuel processes, employing case studies and real-world examples to illustrate the practical application of techno-economic assessments and life cycle analyses. Economic considerations further assess implementation costs, operational expenses, and potential revenue streams, drawing insights from existing economic models and case studies. Environmental impact and benefits take center stage, evaluating potential reductions in greenhouse gas emissions, resource efficiency, and ecological considerations associated with converting captured carbon to fuel. A comparative analysis with other carbon capture applications offers a holistic perspective on the environmental footprint. The regulatory landscape is thoroughly examined, encompassing existing policies, government incentives, and international agreements influencing the development and deployment of carbon capture to fuel technologies. The research concludes with reflections on the current status, challenges, and a roadmap for future advancements, serving as a comprehensive guide for researchers, policymakers, and industry stakeholders in the pursuit of sustainable energy solutions.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"38 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141103783","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

Comparative Review of Three PWM Approach On 3-Φ VSI Fed with Induction Motor Drive 三种 PWM 方法在 3-Φ VSI 感应电机驱动上的比较评述

International Research Journal on Advanced Engineering Hub (IRJAEH) Pub Date : 2024-05-23 DOI: 10.47392/irjaeh.2024.0190

Sharique Habib, Mohit Kumar, Raj Kumar Mishra

引用次数: 0

Fraud Detection in Financial Transactions Using Credit Card: A Machine Learning Model 信用卡金融交易中的欺诈检测：机器学习模型

International Research Journal on Advanced Engineering Hub (IRJAEH) Pub Date : 2024-05-23 DOI: 10.47392/irjaeh.2024.0196

Dr Rakesh Kumar Pathak, Priyanshu Gaurav, Vaibhav Kumar, Aditya Raj

{"title":"Fraud Detection in Financial Transactions Using Credit Card: A Machine Learning Model","authors":"Dr Rakesh Kumar Pathak, Priyanshu Gaurav, Vaibhav Kumar, Aditya Raj","doi":"10.47392/irjaeh.2024.0196","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0196","url":null,"abstract":"Fraud in any financial transactions causes severe loss to both customer as well as the seller. The loss is not confined to financial loss only but it also causes severe dent to the confidence of the customer especially related to shopping platform and the payment instrument used. Nowadays a substantial part of buying and selling of goods and services are taking place using various e commerce platforms. Many customer use credit card as payment instrument. During the payment process, users do exposes the credit card credentials to the payment platform. These payment platforms are vulnerable to fishing and hacking attackers and the payment instrument remains highly susceptible to fraudulent activities. There are two approaches to dealing with this problem. The first step is to identify the fraudulent activities and second step is to prevent any such attempt of fraud. This paper proposes a model based on machine learning algorithms to identify fraudulent attempts by analyzing credit card transactions data set and proposes methods of preventing such fraud activities. The paper also presents the accuracy of this AI model in identifying and preventing fraudulent and mischievous activities.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"14 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141105527","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