Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63546
D. V. Kumar, B. Rajaprakash, Bupesh Kumar K
Abstract: The composite manufactured using nanofillers have found to posses better properties in certain application. In the present work, MWCNTs, Nanoclay and ZnO have been used in GFRP. The developed material can be a promising replacement of composites being used for structural applications in the aerospace sector and space technology apart from the automotives to impart light weight, superior bending and tensile strength. The methodology governing the design of experiments plays a vital role in optimization. Experimental design with three Nanofillers as parameters at three levels for optimization of output characteristics with superior properties for structural applications was done using Taguchi’s L9 and L18 orthogonal arrays. Multi Response Performance Index-MRPI technique has been used for determination of maximum optimal level in the present study.Testing for the manufactured composite was conducted to obtain the ultimate tensile strength and flexural bending strength. ANOVA Analysis was performed both for L9 and L18 arrays and respective MRPI’s. The effects of three nanofillers infused GFRP was investigated and their impact on tensile and flexural strength were evaluated.MRPI indicated single maximum optimal level for both the output characteristics. As GFRP play very important role in engineering application for Stealth, mechanical, thermal properties, resistance to fire by limiting oxygen and retarding flame, several human lifes travelling and working in civil, commercial as well as defence air transport can be saved and could even develop drone and aircraft meant to escape enemy countries radar tracing and monitoring range
{"title":"Experimental Design and Analysis of MWCNT, Nanoclay and Zinc Oxide Nanofillers on Bi-directional-Chopped Stranded Glass Fibre Reinforced Epoxy matrix on Mechanical Properties using Multi Response Performance Index Approach","authors":"D. V. Kumar, B. Rajaprakash, Bupesh Kumar K","doi":"10.22214/ijraset.2024.63546","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63546","url":null,"abstract":"Abstract: The composite manufactured using nanofillers have found to posses better properties in certain application. In the present work, MWCNTs, Nanoclay and ZnO have been used in GFRP. The developed material can be a promising replacement of composites being used for structural applications in the aerospace sector and space technology apart from the automotives to impart light weight, superior bending and tensile strength. The methodology governing the design of experiments plays a vital role in optimization. Experimental design with three Nanofillers as parameters at three levels for optimization of output characteristics with superior properties for structural applications was done using Taguchi’s L9 and L18 orthogonal arrays. Multi Response Performance Index-MRPI technique has been used for determination of maximum optimal level in the present study.Testing for the manufactured composite was conducted to obtain the ultimate tensile strength and flexural bending strength. ANOVA Analysis was performed both for L9 and L18 arrays and respective MRPI’s. The effects of three nanofillers infused GFRP was investigated and their impact on tensile and flexural strength were evaluated.MRPI indicated single maximum optimal level for both the output characteristics. As GFRP play very important role in engineering application for Stealth, mechanical, thermal properties, resistance to fire by limiting oxygen and retarding flame, several human lifes travelling and working in civil, commercial as well as defence air transport can be saved and could even develop drone and aircraft meant to escape enemy countries radar tracing and monitoring range","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"51 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795259","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}
Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63668
Marapally Sai Charan
Abstract: High-performance electric propulsion systems are becoming increasingly important as the automotive industry rapidly shifts to electric cars (EVs). The electric motor is an essential part of these systems as it determines the power, efficiency, and overall performance of the vehicle.This project uses Altair Flux, a full-featured finite element analysis (FEA) software suite, to build and optimize a radial flux motor (RFM) with permanent magnet synchronous motor (pmsm) . The main goal is to increase the power density and efficiency of the electric propulsion system for electric cars by utilizing Altair Flux's simulation and analytical capabilities.
{"title":"Design of Radial Flux PM Synchronous Motor for EV Applications","authors":"Marapally Sai Charan","doi":"10.22214/ijraset.2024.63668","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63668","url":null,"abstract":"Abstract: High-performance electric propulsion systems are becoming increasingly important as the automotive industry rapidly shifts to electric cars (EVs). The electric motor is an essential part of these systems as it determines the power, efficiency, and overall performance of the vehicle.This project uses Altair Flux, a full-featured finite element analysis (FEA) software suite, to build and optimize a radial flux motor (RFM) with permanent magnet synchronous motor (pmsm) . The main goal is to increase the power density and efficiency of the electric propulsion system for electric cars by utilizing Altair Flux's simulation and analytical capabilities.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"47 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795289","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}
Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63647
M. J. Bee
Abstract: Researchers have been looking at several materials to make concrete more sustainable in the past few years. The nutritional and therapeutic benefits of orange fruits have kept them in human diets for centuries. However, improper disposal of the orange peel wastes produced by fruit eating poses risks to both human and environmental health. The study's overarching goal was to develop environmentally friendly engineering material additions for use in concrete, with a secondary objective of reducing trash pollution and littering. With a focus on the strength properties of OPA-cement blends for cement replacement ranging from 0-10% at 2.5% intervals, this investigation will examines the potential of orange peel ash (OPA) as a cement replacement material. The effect of varied % additions of OPA on the qualities of fresh concrete was investigated experimentally by measuring consistency, fineness of cement, soundness of cement, setting times, workability, compressive, split tensile strength and flexural strengths. An ideal concentration of 0%, 2.5%, 5%, 7.5%, and 10% of OPA admixture was determined, and consistency improved with increasing additions on M40 Grade of Concrete.
{"title":"A Practical Study on Concrete by Partial Restitute of Cement by Orange Peel Ash in Additive with Polypropylene Fibers on M40 Mark","authors":"M. J. Bee","doi":"10.22214/ijraset.2024.63647","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63647","url":null,"abstract":"Abstract: Researchers have been looking at several materials to make concrete more sustainable in the past few years. The nutritional and therapeutic benefits of orange fruits have kept them in human diets for centuries. However, improper disposal of the orange peel wastes produced by fruit eating poses risks to both human and environmental health. The study's overarching goal was to develop environmentally friendly engineering material additions for use in concrete, with a secondary objective of reducing trash pollution and littering. With a focus on the strength properties of OPA-cement blends for cement replacement ranging from 0-10% at 2.5% intervals, this investigation will examines the potential of orange peel ash (OPA) as a cement replacement material. The effect of varied % additions of OPA on the qualities of fresh concrete was investigated experimentally by measuring consistency, fineness of cement, soundness of cement, setting times, workability, compressive, split tensile strength and flexural strengths. An ideal concentration of 0%, 2.5%, 5%, 7.5%, and 10% of OPA admixture was determined, and consistency improved with increasing additions on M40 Grade of Concrete.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"19 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795420","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}
Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63657
G. Lokesh
Abstract: For precision workpiece manufacturing, the system should have good dimensional accuracy and surface finish. In applications such as drilling, punching, marking, boring, tapping, etc., the workpiece is first positioned, and then the tool executes its action while the moving axis remains stationary. In the traditional method of such applications, manufacturers use very expensive CNC machines to program the cycle and perform the same work. Large manufacturers can afford such expensive machines, but for the small machinery manufacturing industry, we must consider low-cost solutions that can provide highquality output. In this study, we tried to propose a low-cost design that can be used to achieve functions similar to CNC. By applying this machine in industry, multiple generations can be obtained in a short time. It is very difficult to estimate the drilling depth when manually drilling with a traditional drilling machine, and the work will usually fail due to over-drilling. In many cases, it is difficult to measure the depth after the drilling is completed; especially the depth of the fine hole cannot be measured. Therefore, an automatic drilling machine that performs the drilling function according to the generated drilling depth and transmitted to the control circuit is indispensable; therefore, undertaking the study, it exposed the technology of the dedicated drilling machine. The automatic drilling machine designed here is very useful for the mechanical workshop. The machine is built with power feed technology and is designed to drill the job to a certain specified depth.
{"title":"Fabrication and Automation of Drilling Machine by Arduino Control","authors":"G. Lokesh","doi":"10.22214/ijraset.2024.63657","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63657","url":null,"abstract":"Abstract: For precision workpiece manufacturing, the system should have good dimensional accuracy and surface finish. In applications such as drilling, punching, marking, boring, tapping, etc., the workpiece is first positioned, and then the tool executes its action while the moving axis remains stationary. In the traditional method of such applications, manufacturers use very expensive CNC machines to program the cycle and perform the same work. Large manufacturers can afford such expensive machines, but for the small machinery manufacturing industry, we must consider low-cost solutions that can provide highquality output. In this study, we tried to propose a low-cost design that can be used to achieve functions similar to CNC. By applying this machine in industry, multiple generations can be obtained in a short time. It is very difficult to estimate the drilling depth when manually drilling with a traditional drilling machine, and the work will usually fail due to over-drilling. In many cases, it is difficult to measure the depth after the drilling is completed; especially the depth of the fine hole cannot be measured. Therefore, an automatic drilling machine that performs the drilling function according to the generated drilling depth and transmitted to the control circuit is indispensable; therefore, undertaking the study, it exposed the technology of the dedicated drilling machine. The automatic drilling machine designed here is very useful for the mechanical workshop. The machine is built with power feed technology and is designed to drill the job to a certain specified depth.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"40 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795440","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}
Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63682
Mr. Perumalla Durgaprasad
Abstract: This paper explores the profound impact of Artificial Intelligence (AI) on Human Intelligence (HI), examining both the enhancements and challenges AI introduces. AI, defined as the capability of machines to perform tasks requiring humanlike intelligence, has evolved significantly, influencing various domains such as education, healthcare, and the workforce. AI enhances human cognitive processes by assisting in decision-making, problem-solving, and creativity, thereby augmenting HI. In education, AI-driven tools offer personalized learning experiences, while in healthcare; AI improves diagnostics and patient care. However, the integration of AI raises ethical concerns, including privacy, data security, and algorithmic bias. The potential for AI to surpass human intelligence, known as the singularity, poses existential questions about human autonomy. This paper underscores the importance of responsible AI development, emphasizing the need for ethical frameworks to balance technological advancements with human values. As AI continues to advance, fostering effective human-AI collaboration and preparing society for an AI-enhanced future are crucial for maximizing the benefits and minimizing the risks associated with AI's influence on HI.
{"title":"Effect of AI on HI","authors":"Mr. Perumalla Durgaprasad","doi":"10.22214/ijraset.2024.63682","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63682","url":null,"abstract":"Abstract: This paper explores the profound impact of Artificial Intelligence (AI) on Human Intelligence (HI), examining both the enhancements and challenges AI introduces. AI, defined as the capability of machines to perform tasks requiring humanlike intelligence, has evolved significantly, influencing various domains such as education, healthcare, and the workforce. AI enhances human cognitive processes by assisting in decision-making, problem-solving, and creativity, thereby augmenting HI. In education, AI-driven tools offer personalized learning experiences, while in healthcare; AI improves diagnostics and patient care. However, the integration of AI raises ethical concerns, including privacy, data security, and algorithmic bias. The potential for AI to surpass human intelligence, known as the singularity, poses existential questions about human autonomy. This paper underscores the importance of responsible AI development, emphasizing the need for ethical frameworks to balance technological advancements with human values. As AI continues to advance, fostering effective human-AI collaboration and preparing society for an AI-enhanced future are crucial for maximizing the benefits and minimizing the risks associated with AI's influence on HI.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795472","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}
Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63659
Abeer Ali Saeed Amer
Abstract: This research aims to predict student academic performance using historical data and machine learning algorithms. The dataset includes parental, and academic information about students. The study focuses on three machine learning algorithms: Logistic Regression, Decision Tree, and Support Vector Machine (SVM). To begin, we conducted data analysis to understand the distribution and relationships within the data. Visualizations such as homogeneity analysis of parental education, race, and gender, as well as count plots for gender according to parental education and race, were created to identify patterns and insights. The data was then pre-processed and used to train the three models. Each model's performance was evaluated based on accuracy, precision, recall, and F1 score. Confusion matrices and ROC curves were also generated to provide a comprehensive evaluation of each model's predictive power.
摘要：本研究旨在利用历史数据和机器学习算法预测学生的学习成绩。数据集包括学生家长和学业信息。研究重点是三种机器学习算法：逻辑回归、决策树和支持向量机（SVM）。首先，我们进行了数据分析，以了解数据的分布和关系。我们创建了可视化图表，如父母教育程度、种族和性别的同质性分析，以及根据父母教育程度和种族划分的性别计数图，以确定模式和见解。然后对数据进行预处理，并用于训练三个模型。根据准确度、精确度、召回率和 F1 分数来评估每个模型的性能。此外，还生成了混淆矩阵和 ROC 曲线，以全面评估每个模型的预测能力。
{"title":"Predictive Model for Student’s Academic Performance Using Machine Learning Techniques","authors":"Abeer Ali Saeed Amer","doi":"10.22214/ijraset.2024.63659","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63659","url":null,"abstract":"Abstract: This research aims to predict student academic performance using historical data and machine learning algorithms. The dataset includes parental, and academic information about students. The study focuses on three machine learning algorithms: Logistic Regression, Decision Tree, and Support Vector Machine (SVM). To begin, we conducted data analysis to understand the distribution and relationships within the data. Visualizations such as homogeneity analysis of parental education, race, and gender, as well as count plots for gender according to parental education and race, were created to identify patterns and insights. The data was then pre-processed and used to train the three models. Each model's performance was evaluated based on accuracy, precision, recall, and F1 score. Confusion matrices and ROC curves were also generated to provide a comprehensive evaluation of each model's predictive power.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"21 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795549","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}
Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63567
Vikas Kumar
Abstract: Several administrations, including programming, gathering, and coordinating equipment assets, are included in Cloud Computing (CC) and made available to service users online. The advantages of Cloud Computing are flexibility, competence, and high unwavering quality. Numerous organizations are already exchanging data to the Cloud, and as a result, this data needs to be protected against unauthorized assaults, service rejection, and other threats. Information is deemed secure if classification, accessibility, and uprightness are all available. The challenges and problems related to Cloud Computing security are illustrated in this paper. Additionally, research on security protocols for Cloud-based settings is carried out.
{"title":"A Review: Security Mechanisms in Cloud Computing","authors":"Vikas Kumar","doi":"10.22214/ijraset.2024.63567","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63567","url":null,"abstract":"Abstract: Several administrations, including programming, gathering, and coordinating equipment assets, are included in Cloud Computing (CC) and made available to service users online. The advantages of Cloud Computing are flexibility, competence, and high unwavering quality. Numerous organizations are already exchanging data to the Cloud, and as a result, this data needs to be protected against unauthorized assaults, service rejection, and other threats. Information is deemed secure if classification, accessibility, and uprightness are all available. The challenges and problems related to Cloud Computing security are illustrated in this paper. Additionally, research on security protocols for Cloud-based settings is carried out.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"7 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795594","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}
Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63618
Tedlapu Narayana Rao, Dr. Uppu Venkata Subbarao, Prof. S. Rajani
Abstract: This paper investigates the factors influencing stress and resilience among high school students. We employed a binary logistic regression model to assess the relationship between independent variables (academic workload, family support, extracurricular activities, peer relationships, etc.) and dependent variables (stress and resilience). A diverse sample of 85 high school students (grades 10-12) from various schools in the region of Visakhapatnam was collected by using stratified random sampling. In this sample, using the proportional allocation technique, 37 are from grade 10, and 48 are from grade 11 and 12. Data was collected through a questionnaire, and binary logistic regression was fitted using the statistical software package SPSS and gave valid conclusions and recommendations.
{"title":"Statistical Analysis of Factors Influencing Stress and Resilience in High School Students in Visakhapatnam Region","authors":"Tedlapu Narayana Rao, Dr. Uppu Venkata Subbarao, Prof. S. Rajani","doi":"10.22214/ijraset.2024.63618","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63618","url":null,"abstract":"Abstract: This paper investigates the factors influencing stress and resilience among high school students. We employed a binary logistic regression model to assess the relationship between independent variables (academic workload, family support, extracurricular activities, peer relationships, etc.) and dependent variables (stress and resilience). A diverse sample of 85 high school students (grades 10-12) from various schools in the region of Visakhapatnam was collected by using stratified random sampling. In this sample, using the proportional allocation technique, 37 are from grade 10, and 48 are from grade 11 and 12. Data was collected through a questionnaire, and binary logistic regression was fitted using the statistical software package SPSS and gave valid conclusions and recommendations.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"9 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795726","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}
Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63717
Shruti Soni
Abstract: The expense of land is increasing day by day because of rapid increase in the population whereas vegetation is diminishing, due to diminished vegetation contamination is expanded. In this Research paper, we analyze the various types of the dimensions of the building considering them side ratios too and the effect of windward forces on the building in mainly X and Z direction. This paper is about the study of four-building models as Dimensions (30m*30m), (40m*25m), (55m*20m), (80m*15m) having their horizontal Aspect ratios viz. 1, 1.6, 2.75 & 5.33 at an angle of 0 degrees. The height of the building is 90m. Therefore, the research is proceeding to balance out the structure from an increasingly affordable perspective. To find out the best performance and economical for the lateral wind-force resisting system of different models of 25 storey buildings are modelled in STAAD-PRO, assuming the site location as AGRA (Uttar Pradesh), India. For the different structural systems that are compared for minimum and maximum storey displacement, storey drift. The structural system used is prototype. The axial force, shear force, moment, and reactions at various windward sides are used to compare the best performance of the structure. Above all, wind forces in x- direction shows the adequate displacement and drift values when compared to z- direction but from the economic point of view Model-2 gives the satisfactory result from all the above.
摘要：由于人口的快速增长，土地支出与日俱增，而植被却在减少，植被减少导致污染扩大。在本研究论文中，我们分析了各种类型的建筑尺寸，同时也考虑了它们的边长比以及迎风力在主要 X 和 Z 方向上对建筑的影响。本文研究了四种建筑模型，尺寸分别为 (30m*30m)、(40m*25m)、(55m*20m)、(80m*15m)，水平长宽比分别为 1、1.6、2.75 和 5.33，角度为 0°。建筑高度为 90 米。因此，研究工作将从越来越经济实惠的角度来平衡建筑结构。为了找出抗侧风力系统的最佳性能和经济性，我们在 STAAD-PRO 中对 25 层楼高的不同模型进行了建模，并假设场地位于印度阿格拉（北方邦）。比较了不同结构系统的最小和最大层位移、层漂移。所使用的结构系统为原型。不同迎风面的轴力、剪力、力矩和反作用力用于比较结构的最佳性能。与 Z 方向相比，X 方向的风力显示出足够的位移和漂移值，但从经济角度来看，模型-2 在上述所有方面都取得了令人满意的结果。
{"title":"Analysis of Tall Building by using Different Dimensions Under Wind Load Effects","authors":"Shruti Soni","doi":"10.22214/ijraset.2024.63717","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63717","url":null,"abstract":"Abstract: The expense of land is increasing day by day because of rapid increase in the population whereas vegetation is diminishing, due to diminished vegetation contamination is expanded. In this Research paper, we analyze the various types of the dimensions of the building considering them side ratios too and the effect of windward forces on the building in mainly X and Z direction. This paper is about the study of four-building models as Dimensions (30m*30m), (40m*25m), (55m*20m), (80m*15m) having their horizontal Aspect ratios viz. 1, 1.6, 2.75 & 5.33 at an angle of 0 degrees. The height of the building is 90m. Therefore, the research is proceeding to balance out the structure from an increasingly affordable perspective. To find out the best performance and economical for the lateral wind-force resisting system of different models of 25 storey buildings are modelled in STAAD-PRO, assuming the site location as AGRA (Uttar Pradesh), India. For the different structural systems that are compared for minimum and maximum storey displacement, storey drift. The structural system used is prototype. The axial force, shear force, moment, and reactions at various windward sides are used to compare the best performance of the structure. Above all, wind forces in x- direction shows the adequate displacement and drift values when compared to z- direction but from the economic point of view Model-2 gives the satisfactory result from all the above.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795884","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}
Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63696
Meghana R
Abstract: Prediction of stock prices calls for strong algorithmic foundations for predictions of greater magnitude in share prices because the stock market epitomizes volatility. There exist several models used for the prediction of stock prices. The Long ShortTerm Memory algorithm is one model that seems well-suited for such time series problems. The key objective is to best predict current trends in the market and stock prices, which can be done through point prediction, scenario prediction, anomaly prediction, interval prediction, and volatility prediction. The objective of the study is to provide insight to investors and analysts to understand and predict the behavior of the stock market
{"title":"Predicting Stock Prices Using LSTM Networks: A Comprehensive Approach","authors":"Meghana R","doi":"10.22214/ijraset.2024.63696","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63696","url":null,"abstract":"Abstract: Prediction of stock prices calls for strong algorithmic foundations for predictions of greater magnitude in share prices because the stock market epitomizes volatility. There exist several models used for the prediction of stock prices. The Long ShortTerm Memory algorithm is one model that seems well-suited for such time series problems. The key objective is to best predict current trends in the market and stock prices, which can be done through point prediction, scenario prediction, anomaly prediction, interval prediction, and volatility prediction. The objective of the study is to provide insight to investors and analysts to understand and predict the behavior of the stock market","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"53 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795116","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}
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