3D CAD Modeling of Digital Spring Load Testing Machine with Touchscreen Interface
Authors:-Yash Mendhekar, Dinesh Sahare, Jay Raut, Shubham Gupta, Aftab Ahmad, Dr. I. A. Khan

Abstract-The 3D CAD modeling of a digital spring load testing machine with a touchscreen interface represents a significant advancement in testing technology, offering enhanced user interaction and control capabilities. This abstract provides an overview of the key aspects and benefits of designing such a sophisticated testing system. The digital spring load testing machine with a touchscreen interface combines state-of-the-art 3D CAD modeling techniques with intuitive user interface design to create a powerful testing apparatus. The 3D CAD modeling process involves the creation of detailed virtual representations of the machine’s components, including the frame, loading mechanism, measuring instruments, and touchscreen interface. These components are meticulously designed to ensure structural integrity, precision, and ease of assembly. The integration of a touchscreen interface enhances the usability and functionality of the spring load testing machine, allowing users to interact with the system in a more intuitive and efficient manner. The touchscreen interface provides a visual and interactive platform for controlling test parameters, monitoring test progress, and analyzing test results in real time. This intuitive interface streamlines the testing process, reduces the risk of user error, and enhances overall productivity.

DOI: 10.61137/ijsret.vol.10.issue2.147

Published by: vikaspatanker

Sentiview: AI-Driven Sentiment Analysis and Insight Extraction from YouTube Comments
Authors:-Associate Professor Dr.Deevi Hari Krishna, Teleprolu Sai Sri Harshini, Gudipati Pavani, Nagabhairu Varshitha

Abstract-In our research, we employ sentiment analysis to scrutinize public sentiment by processing comments on YouTube as our primary data source. Our goal is to identify a broad spectrum of sentiments, including positive, negative, and neutral, as well as to understand the underlying opinions and attitudes expressed in the text. We utilize comments on YouTube to gain insights into public viewpoints on various aspects of videos. Given that YouTube boasts over a billion unique users, it serves as a significant platform for this analysis. Users can voice their opinions through various means such as voting, rating, favoriting, sharing, and commenting on videos. We have designed a machine learning system grounded in Naïve-Bayes algorithms and assessed the accuracy of these classification algorithms using several metrics, including the F-score and Accuracy score. To boost our system’s performance, we have also incorporated numerous feature selection techniques. Our research adds value to the domain of text analytics, which involves scrutinizing unstructured data embedded in natural language text using various machine learning tools and methodologies. The insights we glean hold considerable potential for understanding user behavior and sentiment on platforms like YouTube.

DOI: 10.61137/ijsret.vol.10.issue2.145

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Sustainable Materials of Innovative Construction Techniques in Green Building
Authors:-P.Pratish, Professor Dr.M.Narmatha

Abstract-Materials are the essential components of buildings construction. Chemical, physical and mechanical Properties of materials as well as an appropriate design are accountable of the building mechanical strength. The design of green buildings should thus begin with the selection and use of eco-friendly materials with related or better features than traditional building materials. Building materials are usually selected through functional, technical and financial requirements. The green building movement has gained significant traction as a means to address the environmental impact of buildings and promote sustainable development. This research paper examines the application of green building practices in the context of sustainable development in India. Buildings in India account for a substantial portion of resource consumption, energy use, and carbon dioxide emissions. Uncontrolled urban development has further intensified these environmental challenges. Recognizing the need for a more sustainable approach, the green building movement has emerged as a solution to minimize the environmental footprint of buildings.

DOI: 10.61137/ijsret.vol.10.issue2.146

Published by: vikaspatanker

Design Aspects and Energy Efficiency of Green Buildings
Authors:- M.Renga Ramanujam, Professor Dr.V.Manjula

Abstract-Green building, also called sustainable design and development, is the practice of using healthier and more resource-efficient land planning, construction, renovation, operation, maintenance and demolition. Today, it’s much more than the original understanding of simply incorporating recycled materials into a home.In this globalization era, sustainable constructions have taken on some new steps to stimulate green building practice. Green buildings help reduce negative impacts on the natural environment by using less water, energy, and other natural resources; employing renewable energy sources and eco-friendly materials; and reducing emissions and other waste.Green building criteria basis are energy efficiency, material and resource conservation and sustainable design of the building itself. Energy efficiency still has a long way to go, due to some barriers that prevail in the practice of energy efficiency. This study will be done using a case of the construction sector in Malaysia. The data will be collected through an interview with several Property Development Companies or projects that apply the green building criteria. The recommendation is that more property development companies should be interviewed so that more comprehensive results can be gathered.

DOI: 10.61137/ijsret.vol.10.issue2.144

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A Review of Strenthening the Structural Elements for Stability Using Jacketing Techniques
Authors:- Allwin Jeenu Bhaskaran, Professor Dr.Deepa Ra.B

Abstract-It is important to analyze the old structures for structural integration to understand the type and extent of damage the structure has sustained and what type of retrofitting is further required. Non-Destructive Testing (NDT) is a wide group of analysis techniques used in Science and Industries to evaluate the properties of a material component on the system without any damage. Structural audit is an overall health and performance check-up of building .It is important to the building to check their safety and they have no risk. It is process of analyses of building and this process suggest to perform better in its service life, structural audit is an important tool for knowing the real status of the old building. Currently, safety of old buildings which is present in heavy rainfall area is one of the critical issues in India though, there are many practices to conduct structural audit of such buildings. The need of structural audit is for maintenance and repairs of existing structure whose life has exceeded the age of 30 years to avoid mishaps and save valuable human life. The concrete is widely used as construction material being inexpensive, easy for construction, application and because of it high strength-cost ratio. More than ever, the construction industry is concerned with improving the social, economic and environmental parameters of sustainability. NDT measurement technique has been used for more than two decades for concrete quality evaluation and assessing concrete compressive strength. During this period, the advantages of its use and the factors influencing the test results have been widely reported. The major issues in executing the Structural Audit are Peoples are not aware about the importance of the Audit. They do not come forward. There are many misconceptions about the audit such that the buildings will be demolished. Secondly there is no Standard or Legal Procedure to Carry out Structural Audit. It completely depends on knowledge and Experience of Structural Engineer.

DOI: 10.61137/ijsret.vol.10.issue2.143

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Evaluation of Building Structural Stability by Using Rebound Hammer Test
Authors:- A.Paulmakesha, Professor Dr.S.Arivalaganb

Abstract-The quality problems encountered in concrete structures appear at different stages of the construction of works, It is for this reason that for a long time there has been an increased demand for more precise and, at the same time, more flexible methods of concrete quality assessment. This paper presents some notions concerning the Schmidt rebound hammer test and Rebar Locator test which is one of the non-destructive methods most used for the recognition of the condition of building structures. This test is quick and easy, it makes it possible to control the quality of the construction and to indirectly measure the compressive strength of concrete in situ. The rebound hammer calibration procedure was detailed on an example by presenting the different steps. I have selected five blocks ar Dr.M.G.R Educational and Research Institute, Maduravoyal, Chennai. It contains Anna block, Mother thesera block, Abdul Kalam block, Ramanujam Block and V.O.C Block. The location of rebar in reinforced concrete is a major examination item in the field of Construction. The location of rebar in reinforced concrete is a major examination item in the field of construction. As a kind of non-destructive testing method, I measure the magnetic susceptibility on the surface of reinforced concrete structures with a susceptibility meter. Rebar locator & corrosion detectors provide fast, accurate information to detect reinforcement bars in concrete, identifying rebar’s location, direction and an indication of the depth of concrete over the rebar. Non-destructive testing is a descriptive term used for the examination of materials and components in such way that allows materials to be examined without changing or destroying their usefulness. NDT is a quality assurance management tool which can give impressive results when used correctly. It requires an understanding of the various methods available, their capabilities and limitations, knowledge of the relevant standards and specifications for performing the tests. NDT techniques can be used to monitor the integrity of the item or structure throughout its design life. Structural audit is the overall health and performance checkup of the building like doctor check the patient. Structural audit helps to understand the status of the old building. The Audit helps to highlight & investigate all the risk areas, critical areas and whether the building. needs immediate attention.

DOI: 10.61137/ijsret.vol.10.issue2.142

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Analysis and Design of G+9 Educational Building Using Etabs
Authors:- S.Kasilingam, Professor Dr.A.Arivumangai

Abstract-In this project work, an attempt has been made to plan and design a G+9 storied educational building. This project work involves planning, analysis, designs, and drawings of a typical multi storied building. The salient features of the G+9 storied building are as given below the basement floor is 1.20m above the existing ground level. The shopping complex consists of G+9 floors with 4.00m ceiling height. The carpet area available in each floor is 3000sq.m. This educational building having all facilities under one roof, designed with workstations, conference hall, individual cabins for higher officials, Discussion rooms with all other amenities and very good water supply and sanitary arrangements. Structural analysis is a branch which involves determination of behavior of structures in order to predict the responses of real structures such as buildings, bridges, trusses etc, with economy, elegance, serviceability and durability of structure. Structural engineers are facing the challenge of striving for the most efficient and economical design with accuracy in solution, while ensuring that the final design of a building must be serviceable for its intended function over its design lifetime. This project attempts to understand the structural behavior of various components in the multi-storied building. Analysis, designing and estimation of multi-storied building has been taken up for Basement+G+2 Building, thereby depending on the suitability of plan, layout of beams and positions of columns are fixed. Dead loads are calculated based on material properties and live loads are considered according to the code IS875-part 2, footings are designed based on safe bearing capacity of soil. For the design of columns and beams frame analysis is done by limit state method to know the moments they are acted upon. The structural design has been manually done. The estimate of the building is prepared on the basis of plinth area rate. Necessary structural drawings are enclosed at appropriate places.

DOI: 10.61137/ijsret.vol.10.issue2.141

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NIRBHAY: Analysis and Prediction of Crime
Authors:-Ms. Sayali Angat, Mr.Kapil Gharat, Mr.Angarak Gurav, Ms. Harshala Patil, Professor Prachi Sorte

Abstract-The increasing complexity and scale of urban areas requires new crime analysis and prediction strategies The research project focuses on harnessing the power of machine learning algorithms to analyze historical crime data and predict future crime in specific areas. This study explores the potential of predictive analytics for crime prevention and law enforcement using clinical data that includes various crime types, demographic data, and characteristics of the area. This approach involves pre-processing the dataset to resolve missing values, outliers, and feature engineering to extract relevant information. To find patterns and correlations between variables, a range of learning models such as support vector machines, random forests, and decision trees are fed into the data. Utilize measures like accuracy, precision, recall, and F1 score to assess the performance of the model. Furthermore, the actual offense is incorporating predictive models into internet platforms in order to allow users to get predictions based on characteristics like time, location, and publicly accessible data. The platform provides law enforcement, legislators and urban planners with information to better allocate resources and prevent crime. The results demonstrate the effectiveness of the machine learning process in crime analysis and prediction, with high accuracy in predicting crime scenes. The use of the website promotes easy access and usability, providing participants with the skills to reduce crime and increase public safety in the city.

DOI: 10.61137/ijsret.vol.10.issue2.140

Published by: vikaspatanker

Unveiling the Complexities of Behavioral Finance: Understanding Human Decision Making in Financial Markets
Authors:-Preeti Padma Sahu, Aniket Burman

Abstract-Behavioral finance is a subject of finance that studies the impact of psychological factors on how people make financial choices. This study intends to make valuable contributions to the expanding body of research in behavioral finance by exploring the behavioral biases and heuristics that affect investors’ decision making processes. Through a comprehensive review of existing literature, key concepts such as loss aversion, overconfidence, and herding behavior are examined, providing insights into the irrational behavior observed in financial markets. The objective of this research is to empirically analyze the impact of behavioral biases on investment decisions using a mixed methods approach combining qualitative and quantitative analysis. Data is collected through surveys and interviews with investors, supplemented by quantitative analysis of market data. The findings reveal significant correlations between certain behavioral biases and investment outcomes, shedding light on the complexities of human behavior in financial decision making. The conclusions drawn from this study underscore the importance of understanding and mitigating behavioral biases to enhance investment performance and promote financial wellbeing. This research contributes to both theoretical understanding and practical applications in the field of behavioral finance, offering valuable insights for investors, financial practitioners, and policymakers alike.

DOI: 10.61137/ijsret.vol.10.issue2.139

Published by: vikaspatanker

Social Media’s Impact on Food Industry
Authors:-Palak Sinha, Mohd. Faisal, Krishna Rajput, Ms. Tanya Sharma

Abstract-This in-depth analysis examines the profound impact that social media has had on consumer behavior and how it has changed the food industry. The unique connection between advanced stages and the culinary scene is analyzed, featuring the crucial job of virtual entertainment in forming dietary inclinations, dietary patterns, and feasting decisions. The review researches the meaning of client created content, powerhouse advertising, and arising advancements in reshaping the food environment, with suggestions for nourishment, culinary culture, and monetary strengthening. Tending to scholastics, industry experts, and policymakers, this paper offers important bits of knowledge into the developing computerized age food industry.

10.61137/ijsret.vol.10.issue2.138

Published by: vikaspatanker