INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT最新文献

{"title":"FEA-Based Analysis of Front Control Lower Arm in Automotive Suspension","authors":"Pradip Diwan Borase, Vivek Babele, Girish Kumar Khare","doi":"10.55041/ijsrem36612","DOIUrl":"https://doi.org/10.55041/ijsrem36612","url":null,"abstract":"The front control lower arm (LCA) is a pivotal component in an automotive suspension system, responsible for maintaining vehicle stability, handling, and overall comfort. This study delves into the structural integrity and performance of the LCA using advanced Computer-Aided Design (CAD) modeling and comprehensive Finite Element Analysis (FEA). The CAD model was meticulously developed in Creo and exported to ANSYS for detailed simulation. The FEA results revealed significant insights into the stress distribution, deformation patterns, and fatigue life of the control arm under realistic operational conditions. The analysis identified high-stress concentrations near the top mounting point, marking these regions as critical areas that necessitate design modifications to prevent potential failures. Specifically, the maximum equivalent (von-Mises) stress observed was 208.89 MPa, which is near the material's yield strength, indicating a high likelihood of structural failure under prolonged stress. Additionally, the maximum total deformation was found to be 0.4218 mm, occurring at the same critical regions as the high-stress concentrations. This deformation pattern was smooth and well- distributed, suggesting a structurally sound design despite the stress vulnerabilities. Fatigue life predictions showed considerable variability, with the highest life expectancy exceeding 6.3 million cycles and the lowest life around 15,649 cycles in the high-stress areas. This correlation between stress concentration and reduced fatigue life underscores the necessity for targeted design improvements. By enhancing these critical areas, the overall durability and performance of the LCA can be significantly improved. This research provides a detailed methodology for evaluating the LCA's structural performance, offering valuable insights into potential design enhancements. The study’s findings are crucial for automotive engineers and designers aiming to optimize suspension components for better reliability and longevity. The use of CAD modeling and FEA in this context demonstrates the importance of these tools in modern engineering, enabling precise simulations and accurate predictions that guide the design process. Future work will focus on implementing the suggested design modifications and validating their effectiveness through experimental testing and further simulation. Keywords—Lower control arm, automotive suspension, CAD","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819419","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}

{"title":"The Impact of Microfinance on Rural Women's Lives and Local Development","authors":"Suraj Shrestha","doi":"10.55041/ijsrem36665","DOIUrl":"https://doi.org/10.55041/ijsrem36665","url":null,"abstract":"Microfinance, providing financial services without strict collateral requirements, is crucial for rural development and women's empowerment in India. By addressing barriers like restricted land ownership and societal constraints, microfinance allows women to pursue self- employment and enhance household economic stability. Through Self- Help Groups (SHGs), women collectively manage finances, boosting their entrepreneurial skills and community solidarity. Microfinance also leads to better health outcomes, increased community participation, and greater decision- making power for women. It stimulates local economic growth, improves living standards, and promotes education and healthcare. Tailored microfinance programs with ethical practices can ensure sustainable empowerment and rural development.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"116 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820041","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}

{"title":"Harnessing Machine Learning for Flora Disease Detection: A Survey of App-Based Approach","authors":"Supriyaa D, Riya Princy. C, Poorna Pushkala S, Ramya M","doi":"10.55041/ijsrem36648","DOIUrl":"https://doi.org/10.55041/ijsrem36648","url":null,"abstract":"This project aims to develop an AI-based plant disease detection app, leveraging various AI techniques such as machine learning and deep learning models. The primary focus lies in accurately identifying and segmenting diseased plant areas from healthy ones. For precise lesion segmentation, the app utilizes artificial intelligence methods like convolutional neural networks (CNNs) and image processing algorithms. By integrating segmentation and classification techniques, the app offers a comprehensive analysis of plant diseases based on visual symptoms such as discoloration, texture irregularities, and patterns. Users can categorize different plant diseases, receive recommendations for treatments or preventive measures, and conveniently purchase recommended products through the app. Key Words: Plant disease, disease detection, preventive measures, recommendation.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"109 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820304","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}

{"title":"A Study on Emotional Intelligence of Secondary Madrasah Students in Relation to Adjustment of West Bengal","authors":"Meskat Kamal Molla, Dr. Hare Krishna Mandal","doi":"10.55041/ijsrem36489","DOIUrl":"https://doi.org/10.55041/ijsrem36489","url":null,"abstract":"The purpose of the present study was to study Emotional Intelligence and adjustment of secondary madrasah students. The sample of the study consisted of 269 class X madrasah students of North 24 Parganas and Howrah, West Bengal. To measure the emotional intelligence, construct the researcher employed A. K. Singh and Shruti Narain. (2021) and Adjustment Inventory for School Students developed by A. K. P Sinha and R. P. Singh (2020). A random sampling technique was adopted in this descriptive survey research. The collected data were analyzed using statistical tools like mean, standard deviation, t- test and Correlation. The findings of the study indicated that significant relationship and positive correlation between Emotional Intelligence and adjustment of secondary madrasah students. Key words: Emotional Intelligence, Adjustment, Madrasah, Students.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"35 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819675","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}

{"title":"Effect of Succession Planning in Banking Industry","authors":"Arechana Kumari, Dr.Alka Agnihotri","doi":"10.55041/ijsrem36615","DOIUrl":"https://doi.org/10.55041/ijsrem36615","url":null,"abstract":"This study sought to analyse the effect of succession planning on organization performance, with a specific focus on bank. The research questions that guided the study included: How has talent management impacted Bank’s performance? What impact has the existing succession planning processes had on Bank’s performance? What are the effects of skills and competencies gap analysis impacted Bank’s performance? Descriptive research design was used in this study. The target population of the study comprised of employees from Bank. The sampling frame was drawn from the Bank Human Resource Department. Simple random sampling technique was employed to select the respondents. A sample size of 92 employees from Bank was used in the study. Study data was collected using structured questionnaires which were self-administered. A pre-test of questionnaire was performed by the researcher to identify their consistency in picking up the right information required for the research. This study used descriptive statistics to analyse the data that was obtained from the field. Regression and correlation analysis were used to determine the nature and the strength of the relationship between the independent and the dependent variables. The results of the study were presented using figures and tables. The study showed that the bank had a systematic approach to attract and retain high performing employees, achieved through talent management which promoted the workforce efficiency and productivity within the bank. Hiring and selection of employees influenced the bank’s performance, as well as their investment in enhancing their employees’ skills and competencies with the aim of meeting the needs of their dynamic business environment. The bank used coaching practices to assist employees to meet organizational goals, and to enhance the performance of its employees. The study revealed that succession planning processes at the bank involved preparing for change in leadership, and it ensured that high performing employees were retained and rewarded. Individual employee career goals and objectives were important to the bank’s succession planning, because it identified key attributes that were essential for leadership development in critical roles. The bank however, faced barriers to its succession planning and leadership development, even though it focused on its sustainability. The recruitment v process ensured that the bank did not have a surplus or shortage of staff, and its application of knowledge management had facilitated the integration of people, processes and technology that created value for the organization. The study showed that the bank had the ability to identify the skill levels and competencies of workers who could meet its requirements, and as a result, its profitability had been adversely impacted by its employees’ skills and competencies. Development of specific competencies had contributed to the bank’s continual improvement in employee performance, and its lea","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"123 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819777","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}

{"title":"Experimental And Numerical Analysis of Impact Strength of Fiber Metal Laminates Made of Aluminium with GFRP","authors":"Mr. I Kathiravan, Prof. K Kavitha","doi":"10.55041/ijsrem36622","DOIUrl":"https://doi.org/10.55041/ijsrem36622","url":null,"abstract":"The benefits of fiber-reinforced matrix systems and metallic materials are combined in fiber- metal composite technology. The usage of fiber metal laminates is a result of the growing need for lightweight materials. In our work, fiber metal laminates are created utilizing aluminum-6061. Glass fiber that is single, double, or triple layered is bonded using the hand layup process and Epoxy-LY556 and Hardener-HY951. In this work, a single layer, double layer, and triple layer GFRP specimen made of aluminum, glass, and epoxy fiber metal laminate (FML) was created in accordance with ASTM D 7136 standards. A low velocity impact testing equipment was used to examine the impact behavior of specimens made of aluminum, glass, and epoxy fiber metal before experimental findings were obtained. The experimental results demonstrate that the impact strength of the composite will change as the number of GFRP layers increases. Utilizing ANSYS software and the ACP Pre post and Transient Structural Analysis Method, another numerical simulation was carried out. ABACUS analysis was used for material optimization, and the outcomes of the model and optimization were compared in order to validate the suggested numerical model. Due to its strong strength and low density, FML is frequently employed in the aerospace industry and wind turbine blades. Keywords: FML, Aluminium, GFRP, Resin, Impact Strength, Numerical Analysis.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"112 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820531","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}

{"title":"ENHANCING USER PRODUCTIVITY: DEVELOPMENT OF A VOICE-BASED VIRTUAL ASSISTANT","authors":"P. H R, S. K T, K. S M","doi":"10.55041/ijsrem36675","DOIUrl":"https://doi.org/10.55041/ijsrem36675","url":null,"abstract":"This work streamlines voice command interactions with devices by integrating NLP and machine learning in Python to create a desktop virtual assistant. It prioritizes safe authentication and economical resource use while converting voice inputs into text for analysis and customized responses. By using cutting-edge voice recognition, the assistant seeks to improve desktop productivity. It continuously adjusts to new developments in voice technology to satisfy changing user demands. Keyword: Virtual Personal Assistant, Artificial Intelligence, Voice Recognition, Python, text to speech.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"109 49","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820240","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}

{"title":"A Review of Stress Analysis and Advanced FEA Techniques in Automotive Suspension Systems","authors":"Pradip Diwan Borase, Vivek Babele, Girish Kumar Khare","doi":"10.55041/ijsrem36613","DOIUrl":"https://doi.org/10.55041/ijsrem36613","url":null,"abstract":"The lower control arm (LCA) is an essential component of a vehicle's suspension system, responsible for maintaining stability, improving handling, and enhancing passenger comfort. This paper examines different approaches and findings regarding the stress analysis and optimisation of LCAs using CAD modelling and Finite Element Analysis (FEA). The analysis primarily aims to identify regions with high stress concentration, specifically in very near proximity to the top mounting point. It also examines various optimisation techniques, such as topology and shape optimisation, surrogate modelling, and multi-objective optimisation. Significant studies emphasise the efficacy of these techniques in decreasing weight, enhancing structural strength, and enhancing fatigue resistance. By combining dynamic analysis, material selection, and advanced optimisation methods, substantial enhancements in LCA performance and cost efficiency are attained. This review offers a thorough comprehension of current methodologies and upcoming approaches for enhancing life cycle assessments (LCAs) in automotive suspension systems. Keywords- Lower Control Arm (LCA), Suspension System, Stress Analysis, Finite Element Analysis (FEA), Topology Optimization, Structural Integrity, CAD.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"57 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818948","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}

{"title":"An Empirical Study on Growth of IPR during Covid-19 Pandemic","authors":"H. Ms, Dr. HH. Ramesha","doi":"10.55041/ijsrem36617","DOIUrl":"https://doi.org/10.55041/ijsrem36617","url":null,"abstract":"The COVID-19 pandemic has brought unprecedented challenges to the global healthcare system, necessitating rapid innovation and collaboration to combat the virus. Intellectual Property Rights (IPR) have played a crucial role in promoting innovation and providing legal protection to inventors and innovators. This article provides an overview of the development of IPR in the context of COVID-19 in India. It discusses the various types of intellectual property protections available, including patents, trademarks, copyrights, and trade secrets, and their relevance in the healthcare sector during the pandemic. Additionally, it emphasizes the need for a balanced approach to IPR to ensure both incentivization for innovation and equitable access to essential healthcare technologies and treatments. Furthermore, the article examines the initiatives taken to support IPR during the COVID-19 crisis. It explores the expedited patent examination procedures and the establishment of the \"COVID-19 Response\" portal to fast-track patent applications related to the pandemic. The article addresses the challenges and debates surrounding IPR during the pandemic. It delves into issues related to licensing agreements, technology transfer, and the balance between proprietary rights and the global public health interest. The article highlights the significance of international collaborations, such as the COVAX initiative, in addressing these challenges and ensuring access to affordable healthcare solutions. Finally, the article concludes by emphasizing the evolving nature of IPR in the context of COVID-19 and the need for continuous adaptation. It underscores the importance of striking a balance between promoting innovation and ensuring affordable access to life-saving technologies, medicines, and vaccines. The article aims to provide valuable insights into the development of IPR during the COVID-19 pandemic, contributing to the ongoing discourse on intellectual property and public health. Keywords: IPR, Invention, Innovation, Covid-19, incentivization, licensing agreement.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"38 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819630","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}

{"title":"Credit Card Fraud Detection Using ML & DL","authors":"Murali Krishna Kodimenu1,, Dr Satyanarayana S2,, Dr Thayabba Katoon3","doi":"10.55041/ijsrem36686","DOIUrl":"https://doi.org/10.55041/ijsrem36686","url":null,"abstract":"The ascent of the digital payments industry is accelerating as the global economy increasingly adopts online and card-based payment systems. This transition, however, brings with it an elevated risk of cyber threats and fraud, now more prevalent than ever before. For banks and financial institutions, bolstering the detection of credit card fraud is of utmost importance. Machine learning (ML) is revolutionizing this domain, making the identification of fraudulent activities both simpler and more effective. ML- powered fraud detection systems are adept at identifying patterns and halting irregular transactions. The hurdles faced in this area are significant: vast quantities of data are processed daily, with the vast majority of transactions (99.8%) being legitimate; the data, largely confidential, is not readily accessible; not all fraudulent activities are detected and reported; and fraudsters continually develop new strategies to outsmart the detection models. Machine learning algorithms are capable of pinpointing atypical credit card transactions and instances of fraud, ensuring that cardholders are not billed for purchases they did not make. These ML algorithms outperform traditional fraud detection systems, capable of discerning thousands of patterns within extensive datasets. Moreover, ML provides valuable insights into consumer behavior through the analysis of app usage, payment, and transaction patterns. The advantages of deploying machine learning in the fight against credit card fraud are manifold, including swifter detection, enhanced precision, and increased efficiency when dealing with large volumes of data. Key Words: Credit Card Frauds, Fraud Detection, Correlation matrix, principal components, Random Forest.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"115 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820130","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}