International Journal for Research in Applied Science and Engineering Technology最新文献_第9页

Enhancing the Performance and Behaviour of M35 Alccofine 1203 Grade Concrete 增强 M35 Alccofine 1203 级混凝土的性能和行为

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63580

Vipparthi Anitha

{"title":"Enhancing the Performance and Behaviour of M35 Alccofine 1203 Grade Concrete","authors":"Vipparthi Anitha","doi":"10.22214/ijraset.2024.63580","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63580","url":null,"abstract":"Abstract: The construction industry faces pressures to reduce its environmental footprint, prompting the exploration of sustainable materials that maintain or enhance conventional concrete's performance. This study investigates Alccofine 1203, a high-performance micro-fine material, as a partial cement replacement in concrete. The objective is to determine optimal Alccofine percentages for desired mechanical properties and sustainability benefits. We conducted experimental trials with concrete mixes where cement was replaced by Alccofine at increments of 5%, 10%, and 15%. Multiple concrete cubes were prepared and tested for compressive strength, flexural strength, workability, and durability. Fresh properties were evaluated using slump and flow tests, ensuring adequate workability, while long-term performance was assessed through durability tests, including permeability and chloride ion penetration. The results indicate that a 10% replacement of cement with Alccofine 1203 enhances the compressive strength and durability of concrete without compromising workability. Higher percentages showed varied results, necessitating further investigation to optimize the mix design. This study highlights the potential of Alccofine 1203 as a sustainable alternative to traditional cement, offering significant implications for eco-friendly construction practices. This research contributes to the field by providing empirical data on Alccofine 1203's effects in concrete, supporting the development of more sustainable building materials. Future work will focus on refining mix proportions and exploring Alccofine's impact on other concrete properties such as shrinkage and creep.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"30 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795329","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 Study of Heat Transfer and Flow Friction in Plate Heat Exchangers with CarboxyMethyl Cellulose and Sodium Alginate 使用羧甲基纤维素和海藻酸钠的板式热交换器中传热和流动摩擦的比较研究

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63526

Shubhangi S. Patil, K. Muthamizhi, P. Kalaichelvi

{"title":"Comparative Study of Heat Transfer and Flow Friction in Plate Heat Exchangers with CarboxyMethyl Cellulose and Sodium Alginate","authors":"Shubhangi S. Patil, K. Muthamizhi, P. Kalaichelvi","doi":"10.22214/ijraset.2024.63526","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63526","url":null,"abstract":"Abstract: Study of Plate heat exchanger (PHE) with power law fluid is a very interesting topic now a days as there is improvement of thermal performance of heat exchanger. Power law fluids show complex flow behavior due to its rheological properties. The parameters which differ these power law fluids from Newtonian fluids are rheological properties like flow behavior index and power law index. Hence flow behavior index and power law index are the two parameters which affect the heat transfer rate. Now to enhance rate of heat transfer we should know how Nusselt number changes with change in flow behavior index and power law index. Hence the aim of present study was to observe how Nusselt number and friction factor changes with change in flow behavior index and power law index. For this purpose thermal performance of PHE have been studied with CorboxyMethyl Cellulose (CMC) and sodium alginate as a cold fluids. Comparison of Nusselt number and friction factor of CMC and sodium alginate have been done. It was observed that Nusselt number for CMC solution was more compared to sodium alginate solution with less friction factor than sodium alginate.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795365","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

Development of Ultra-High-Performance Concrete Using GGBS and Alccofine 使用 GGBS 和 Alccofine 开发超高性能混凝土

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63704

Prerna Kumari

{"title":"Development of Ultra-High-Performance Concrete Using GGBS and Alccofine","authors":"Prerna Kumari","doi":"10.22214/ijraset.2024.63704","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63704","url":null,"abstract":"Abstract: Ultra-high-performance concrete, or UHPC, is a cementitious mixture that is distinguished by its exceptionally high compressive strength—more than 120 MPa as well as its remarkable toughness, tensile ductility, and longevity. Ground Granulated Blast Furnace Slag (GGBS) and Alccofine (AF) are commonly used in the matrix composition to increase the particle system's packing density and subsequently enhance the matrix's strength in order to guarantee that UHPC has the proper strength. To investigate the engineering properties of ternary blended UHPC with GGBS, AF, a comparative study was conducted. In comparison to the control UHPC mix, the ternary blended UHPC mix's mechanical and durability qualities were improved by the percentage variation of AF within specific bounds. In this study, the experimental work included mix proportioning and preparation of ternary blended UHPC specimens and various tests like Compressive Strength, Split Tensile Strength, Flexure Strength and RCPT (Rapid Chloride Penetration Test) were performed in the laboratory. The results show that under normal water curing conditions, the strength qualities of UHPC based on GGBS are considerable, up to a cement replacement level of 40%. In addition, compared to the binary counterpart, the mixture of 20 Percent AF and 40 Percent GGBS showed better mechanical and durability properties.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795400","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

A Single-Lead Electrocardiogram-Derivative Empirical Mode Decomposition-Based Deep Learning Model for Sleep Apnea Identification 基于深度学习模型的单导联心电图衍生经验模式分解睡眠呼吸暂停识别模型

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63676

R. K. Sree

{"title":"A Single-Lead Electrocardiogram-Derivative Empirical Mode Decomposition-Based Deep Learning Model for Sleep Apnea Identification","authors":"R. K. Sree","doi":"10.22214/ijraset.2024.63676","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63676","url":null,"abstract":"Abstract: While polysomnography (PSG) is the gold standard for detecting sleep apnea (SA), the insertion of several disruptive devices may impair the quality of the patient's sleep, and its interpretation requires specialised training from a sleep scientist or technician. Heart rate variability (HRV) and electrocardiogram (ECG)-derived respiration (EDR) have been used in recent years to automatically detect SA and lessen the negative effects of PSG. Currently, the majority of suggested methods concentrate on feature engineering and machine learning (ML) techniques, which call for previous expert knowledge and expertise. This paper uses a deep learning (DL) framework based on 1D and 2D deep CNN with empirical mode decomposition (EMD) of a preprocessed ECG signal to propose a SA detection method to distinguish between a normal and apnea occurrence. The EMD is the perfect tool for removing crucial elements that characterise the underlying physiological or biological processes. Based on 5- fold cross-validation (5fold-CV), the segment-level classification performance had 93.8% accuracy with 94.9% sensitivity and 92.7% specificity. As a result, this work effectively created a unique and reliable SA detection system based on the ECG decomposed signal utilising EMD and deep CNN.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"43 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795408","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

Advancements in Safety: Utilizing CNNs for Helmet Detection and License Plate Recognition 安全领域的进步：利用 CNN 进行头盔检测和车牌识别

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63519

S. Krishnaveni

引用次数: 0

Broadband Antenna Operating in Sub 6GHz Frequency for Long Range 5G Communication 用于远距离 5G 通信的 6GHz 以下频率宽带天线

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63529

Atharva Gandhi

引用次数: 0

Design and Fabrication of Automated Accumulator for Waste Management 设计和制造用于废物管理的自动蓄能器

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63481

P. Gokul

引用次数: 0

IOT Based Underground Cable Fault Detection System 基于物联网的地下电缆故障检测系统

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63229

Chaitrashree S R

{"title":"IOT Based Underground Cable Fault Detection System","authors":"Chaitrashree S R","doi":"10.22214/ijraset.2024.63229","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63229","url":null,"abstract":"Abstract: The Underground Cable Fault Detection System outlined in this project represents a significant advancement in the field of electrical network management, addressing the pressing need for real-time monitoring and proactive fault detection. By integrating cutting-edge sensor technologies, including AC current and voltage sensors, alongside GSM and GPS modules, the system offers a comprehensive solution for identifying and responding to critical events in electrical infrastructure. The primary objective of this system is to enhance the reliability, safety, and efficiency of electrical networks by enabling swift detection and resolution of faults. Through continuous monitoring of current and voltage levels, the system can identify abnormalities such as over-voltage, under-voltage, and over-loading in real-time. Upon detection of these conditions, automated SMS alerts are promptly dispatched to designated authorities, providing instant notification of the issue and its precise location via GPS coordinates. This immediate response mechanism facilitates rapid intervention and maintenance, minimizing downtime and mitigating potential risks to the electrical system's integrity.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"28 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795086","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

Water Potability Prediction Using Machine Learning 利用机器学习预测水的可饮用性

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63684

Revathi M, Dr. N. A. Vasanthi

{"title":"Water Potability Prediction Using Machine Learning","authors":"Revathi M, Dr. N. A. Vasanthi","doi":"10.22214/ijraset.2024.63684","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63684","url":null,"abstract":"Abstract: For human survival, water is an essential and indispensable resource, and preserving its purity is paramount to people's health. Contaminated drinking water can lead to serious health problems, such as cholera, diarrhea, and other waterborne illnesses. Thus, maintaining clean and safe water becomes essential to advancing public health. Recent research indicates that water-related ailments claim the lives of a noteworthy 3,575,000 individuals annually. Thus, a reliable indicator of water potability could significantly lower the prevalence of these illnesses. Machine learning algorithms have emerged as highly effective instruments for precisely and promptly monitoring water resources by accurately forecasting the quality of the water. The Drinking Water dataset on Kaggle is the source of the water samples used in this study, and various algorithms are used to estimate water potability based on these properties. Nine different metrics make up this dataset: pH, hardness, solids, trihalomethanes, sulphates, chloramines, organic carbon, conductivity, and turbidity. We seek to ascertain the potability of drinking water by utilizing a variety of algorithms, including Random Forest, SVM, Decision Tree, and KNN. Among other notable results, the Random Forest algorithm outperforms conventional machine learning models, producing an astounding accuracy of 99.5%. It also performs well, producing an accuracy of 74%. As a result, this study has great potential to supply researchers, water management professionals, and policymakers with accurate data on water quality, increasing the efficacy of water potability monitoring","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"32 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795189","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

Prediction of Resale Value of Pre-Owned Luxury Cars in the Indian Market Employing Machine Learning Techniques 利用机器学习技术预测印度市场上二手豪华汽车的转售价值

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63709

Ranjith K

{"title":"Prediction of Resale Value of Pre-Owned Luxury Cars in the Indian Market Employing Machine Learning Techniques","authors":"Ranjith K","doi":"10.22214/ijraset.2024.63709","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63709","url":null,"abstract":"Abstract: The market for second-hand luxury cars in India is witnessing a significant surge, expected to grow at a rate of 16.30% from 2024 to 2032. This growth is fueled by increased car manufacturing, rising disposable incomes, and a shift in consumer preferences towards luxury brands. However, accurately determining the resale value of these vehicles presents a challenge due to various influencing factors. In this dynamic market, informed decision-making is crucial for luxury car buyers. Digital platforms have revolutionized access to real-time market data, helping both buyers and sellers stay updated on pricing trends. Our research explores the complexities of predicting prices for pre-owned luxury cars and introduces a predictive analytics framework using advanced machine learning algorithms. We collected and preprocessed a comprehensive dataset and conducted an in-depth exploratory data analysis. Various regression techniques, including Linear Regression, Decision Tree, Random Forest, and Extreme Gradient Boosting, were employed to forecast prices. These models were evaluated using metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) to identify the most accurate predictive model. This study offers a systematic solution for price prediction, enhancing the buying process for stakeholders in the second-hand luxury car market","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"50 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795269","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