Category Archives: Uncategorized

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

Published by: vikaspatanker

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

Published by: vikaspatanker

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

Published by: vikaspatanker

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

Published by: vikaspatanker

Predictive Analytics: Mitigating Risks in Fintech Products with AI
Authors:-Chintamani Bagwe

Abstract-In Fintech, predictive analytics play an important role in dealing with increasing complexity in the financial sphere, radically altering risk assessment and hence the nature of financial choices. This paper examines the interaction between cutting-edge predictive analytics and artificial intelligence in promoting corporate risk assessment, fraud detection, and operational productivity in solution providers. It discusses a number of predictive analytics models, such as time set classification and neural networks and uses them to think through market trends, customer clustering behaviour, and anomaly identification. The identification links are then used in many financial service scenarios to consider their impact on risk solvency development and customer experience and to predict market patterns. The paper looks at difficulties in data administration, illustration, and ethics, and suggests a solid data management approach and an ethical concept. It concludes with thoughts and ideas that would lead to more risk awareness and AI-driven decisions in the future, and highlights the predicted growth in competitively elegant predictive forecasting and situation control. The sense-the essay makes is to remind Fintech managers and specialists of the importance of keeping their learning up-to-date to take full advantage of the most recent advances in artificial intelligence and predictive analytics to make sensible decisions and policy thinking in their career.

DOI: 10.61137/ijsret.vol.10.issue2.265

Published by: Kajal Tripathi

AI Revolution: Transforming Risk Management in Financial Institutions
Authors:-Kinil Doshi

Abstract-This article reviews the implications and enhancements that Artificial Intelligence may bring to financial institutions in terms of risk management transformation. In a dynamically evolving environment provided by the progressed state of AI technologies, the transformation solved becomes evolutionary more strategic. This paper examines the power of AI in improving the accuracy, efficiency, and transparency of risk assessments and management processes. A necessary focus is on AI’s possibility to process unlimited data in real-time, thus creating a new paradigm of proactive decision-making and risk assessment by identifying it early in the process. Apart from that, some potential applications such as credit assessment, regulatory compliance, and cybersecurity are also considered, since the latter issues are the field of a problem to institutions where major disruptive innovation is required. The challenges and the moral concern of AI are also discussed, including the pros and cons of data use and the compliance function. Overall, highlighting existing and potential use cases and forward-thinking trends allow for this article to see AI as vital since, in a developing industry, financial institutional survival is impossible without it.

DOI: 10.61137/ijsret.vol.10.issue2.291

Published by: Kajal Tripathi

Importance of Vedic Mathematics in India
Authors:-Anjali Goyal, Vinit Kumar Sharma

Abstract-Vedic Mathematics is a powerful system of mathematics based on ancient Indian principles, offering efficient and solving complex mathematical problems. Vedic Maths is important for Increases Calculation Speed, Improves Mental Math Skills, Simplifies Complex Problems, Boosts Confidence and Reduces Math Anxiety, Enhances Problem-Solving Skills, Helps in Competitive Exams, Develops Logical and Analytical Thinking, Improves Overall Mathematical Understanding,promotes a Deeper Connection to Ancient Knowledge& Boosts Academic Performance.

DOI: 10.61137/ijsret.vol.10.issue2.298

Published by: Kajal Tripathi

Scopes and Advances of Nano-fertilizers in Agricultural Development
Authors:-Vipin Kumar Saini, Disha Sharma, Saba Rana, Ashu Chaudhary, Vikas Kumar

Abstract-The overuse of fertilizers in agriculture to boost yields has been shown to be wasteful because most of them are wasted and have detrimental impacts on both the environment and human health. With the goal of lowering the usage of mineral fertilizers, raising yields, and promoting agricultural development, farmers face a significant barrier in substituting the application of fertilizers with nanofertilizers. An extensive summary of the effects of nanofertilizers on the environment is given in this review. A review and description are given on the use of nanofertilizers and novel delivery systems to increase agricultural productivity. The benefits of the nanoencapsulation technology are highlighted specifically for fertilizers. Nanomaterials can encapsulate micro- or macronutrients in nanofertilizers, allowing for the regulated and slow release of nutrients into the soil to preserve soil fertility and avoid eutrophication and water resource contamination. For the proper and secure use of nanofertilizers in agriculture, a risk assessment is necessary.

DOI: 10.61137/ijsret.vol.10.issue2.296

Published by: Kajal Tripathi

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