Seismic Performance Evaluation of RCC Building Resting on Slopping Land
Authors:-Ram Krishna Shrestha, Mukil Alagirisamy, Purushottam Dangol, Bijaya Ram Koju, Assistant Professor Om Prakash Giri

Abstract-Sloping terrain is a prevalent feature in many regions of Nepal, often necessitating the construction of buildings on uneven ground. These geographical conditions present unique challenges regarding seismic vulnerability and structural integrity. Buildings on sloping terrain are more challenging to design and construct due to the presence of powerful earthquake loads combined with the forces of the sliding slope itself. This conference paper presents a comprehensive study on the seismic performance of Reinforced Concrete (RCC) buildings situated on sloping land. The main objective of this study was to evaluate the seismic performance of RCC buildings resting on sloping ground. To achieve this objective, a Static Non-Linear Analysis, commonly known as Pushover Analysis, was carried out for building models with different ground slopes. Pushover Analysis is a method used to determine the potential seismic performance of a structure by subjecting it to a gradually increasing lateral load until it reaches a target displacement. This analysis helps in understanding the inelastic behaviour and collapse mechanisms of the structures under seismic loads. In addition to analysing buildings on sloping terrain, a comparative study was conducted between buildings on plain ground and those on sloping ground. The findings of this study indicate that the performance of buildings on plain surfaces is superior to those on sloping ground. The primary reason for this is the uniform distribution of forces and the absence of additional stresses caused by the slope. Among the various configurations of buildings on sloping ground, the study found that buildings constructed in a step-by-step back arrangement exhibit better consistency in seismic performance compared to other configurations. This arrangement helps in distributing the forces more evenly and reduces the occurrence of short columns, which are prone to early hinge mechanisms. As the slope angle increases, the formation of hinge mechanisms occurs earlier in short columns due to the increased stress and force concentration. This early hinge formation can lead to a significant reduction in the structural integrity and seismic performance of the building. In conclusion, the study underscores the importance of careful consideration of slope angles and building configurations in the design of RCC buildings on sloping terrain. By employing appropriate design strategies and conducting thorough seismic performance evaluations, the resilience of buildings in earthquake-prone regions like Nepal can be significantly enhanced.

DOI: 10.61137/ijsret.vol.10.issue4.196

Published by: Kajal Tripathi

PHP Frameworks Usability in Web Application Development
Authors:- Assistant Professor Kondeti Sowjanya

Abstract-A framework defined as a structure that supports the development of dynamic websites, web applications, and services. Framework code and design are often reusable to assist customization, resource service, and API-related tasks. This study discussed current practice to help a developer understand PHP frameworks adoption for web application development. Three approaches were selected to understand the features suitability of the PHP frameworks: the systematic approach, score criteria evaluation, and PHP framework technical factors. A comparison of 23 different frameworks features also has been studied that involves features such as ORM, Code Generator, Template Engine, and CRUD Generator. Besides PHP framework features, understanding the basic core PHP to build web application would help a lot in learning PHP frameworks. Moreover, new developers should not limit themselves to a particular PHP framework only but also allow themselves to explore various PHP frameworks in the development of web application projects.

DOI: 10.61137/ijsret.vol.10.issue4.195

Published by: Kajal Tripathi

A Panorama of Machine Learning Algorithms
Authors:-Taunk Mayur G

Abstract- Machine learning (ML) is a subset of artificial intelligence that empowers systems to learn from data without explicit programming. By employing statistical models and algorithms, ML enables computers to identify patterns, make predictions, and automate decision-making processes. This versatile field finds applications across numerous domains, from recommendation systems to medical diagnostics. This paper delves into the core methodologies of ML, including supervised, unsupervised, and reinforcement learning, to elucidate their principles and applications, with a particular focus on supervised learning algorithms.

DOI: 10.61137/ijsret.vol.8.issue2.194

Published by: Kajal Tripathi

Effects of Influential Travelers on their Audience
Authors:- Assistant Professor Ms. Lucky Gupta, Mr. Harsh Mohan Sharma, Priya Prasad

Abstract-More than a hundred new occupations have emerged in the last decade as a direct result of social media, which has altered our daily lives in ways nobody could have predicted. It paved the way for alternative means of subsistence for those who didn’t want to conform to conventional wisdom. Travel influencers are one example of this type of job. Internet stars who share stories from their travels on social media are known as “travel influencers” in the tourism, culture, and travel industries. What makes these travel influencers so influential is the subject of this research.

DOI: 10.61137/ijsret.vol.10.issue4.193

Published by: Kajal Tripathi

Design & Analysis of Smart Optimizer Charging System for E-Vehicle
Authors:-Rahul Arya, Dr. Sourabh Gupta

Abstract-There are several challenges associated with electric vehicles. This work discusses the effect of electric vehicles on the load frequency deviation. However, Load cannot be the same throughout, load deviates from time to time. To get rid of these disadvantages related to conventional controllers, a lot many schemes have been put forth in literature. This work presents a new design of various types of load frequency controllers based on different types of Artificial Intelligent (AI) optimization techniques such as Fuzzy logic, ANN tuner for a single area power system. The performance of the controller under study shows an enhancement in the frequency deviation signal as well as the peak overshoot and settling time for the frequency output signal. The performance of the proposed scheme is validated using MATLAB/ SIMULINK tools.

DOI: 10.61137/ijsret.vol.10.issue4.192

Published by: Kajal Tripathi

Exploring the Strategic Role of Storefront Aesthetics and Design Principles
Authors:-Simar Dhingra

Abstract-This research explores the significance of storefront quality in influencing customer behaviour and purchase decisions. Emphasizing the pivotal role of signage, marquee, and awnings, the study underscores their impact on forming initial impressions and attracting customer attention. Additionally, the importance of a clutter-free entryway and well-designed landscaping in enhancing store appeal is discussed. The research highlights the criticality of effective window and interior displays in serving as information links to potential customers. Furthermore, it delves into the principles of design, such as balance, proportion, emphasis, and harmony, as essential elements for creating compelling visual merchandise displays. Finally, the research examines the implications of brand projection and store layout coherence on customer experience and purchase intent. It contributes to a deeper understanding of the strategic importance of storefront aesthetics and design principles in driving retail success.

DOI: 10.61137/ijsret.vol.10.issue4.191

Published by: Kajal Tripathi

Enhanced Machine Learning Technique for Predicting Cardiac Diseases Using ECG Data
Authors:-Priyanka Singh, Sameeksha Rahangdale, Virendra Kumar Tiwari, Gaurav Kishor Saxena

Abstract-Heart disease is a leading cause of morbidity and mortality worldwide. The advancement of machine learning (ML) has enabled the development of predictive models that can identify cardiac conditions with high accuracy. This paper presents an enhanced random forest-based ML technique for predicting cardiac diseases using ECG data. The proposed model evaluates several metrics including accuracy, classification error, F-measure, recall, and precision, achieving an accuracy rate of 92%. This technique transforms vast amounts of raw healthcare data into valuable insights for informed decision-making and forecasts in clinical settings. Our results demonstrate the efficacy of the proposed method in early diagnosis and prevention of heart diseases.

DOI: 10.61137/ijsret.vol.10.issue4.190

Published by: Kajal Tripathi

Utilising Accounting Ratios for Strategic Implementation in Technology Based Organization: A Case Study of (2019 and 2023)
Authors:-Om Raj Dahal, Professor Murtaza Hussain

Abstract-Companies continue to seek effective ways of maximising efficiency and securing a competitive advantage in the current changing business environment. The study looks at how important accounting ratios are to help companies make strategic decisions and implement them. The paper examines through a rigorous literature review and how accounting ratios can be used to analyse finance performance, operating efficiency and identify areas where improvement is needed. According to the findings, important ratios like profitability, liquidity, leverage, and efficiency are crucial for guiding strategic initiatives in a range of industries. The research also emphasises how crucial it is to incorporate accounting ratio analysis into frameworks for strategic planning in order to improve organisational performance and enable well-informed decision-making. In addition to adding to the body of knowledge on financial management, this study highlights the strategic significance of accounting ratios and provides useful advice for companies hoping to establish a competitive edge in the current global economy. The main objective of the study is to evaluate the Financial table by using tools of accounting (Ratio analysis) in a Technology based business and in order to examine the effects on Strategic management decisions and to evaluate the contribution of these data on building corporate strategies.

DOI: 10.61137/ijsret.vol.10.issue4.189

Published by: Kajal Tripathi

Research on Development of Android Applications
Authors:-Ankur Bhuyan

Abstract-This paper introduces the Android platform and discusses the features of Android operations, furnishing a detailed explanation of the Android operation frame from the point of view of formulators. It includes a demonstration using a introductory music player to illustrate the fundamental workings of Android operation factors. The end of this paper is to prop in understanding how Android operations operate and to grease the development of operations on the Android platform.

DOI: 10.61137/ijsret.vol.10.issue4.188

Published by: Kajal Tripathi

Analysis of Seawater Quality Parameters and Treatment with Hydrodynamic Cavitation Method
Authors:-Divya Patil, Dr. Pankaj Gohil, Dr. Hemangi Desai

Abstract-The aim of the research was to compare the quality parameters of Seawater before and after hydrodynamic cavitation treatment. The Hydrodynamic Cavitation Method for water treatment gives the highest reduction in Turbidity (100%), the second highest reduction in TSS (83.86%), and the lowest reduction in Na+ (8.47%), according to the study and analysis of various quality parameters. When compared to CPCB Water Quality Criteria, treated water is suitable for outdoor bathing; it again satisfies the standards for classes SW-I, SW-II, SW-III, SW- IV and SW-V, i.e., treated sea water can be used for a variety of purposes, including bathing, contact water sports, commercial fishing, mariculture, ecologically sensitive zones, aesthetics, harbour, waters Navigation and Controlled water disposal. The SAR value of treated water, which is 1.72, indicates it is appropriate for all types of soil and crops. The treated water’s WQI, which is 65, showed that it is of Fair quality and may be used for industrial and irrigation uses. Water quality can be improved by recycling the treated water for an additional 24 hours using the hydrodynamic cavitation method. Recycling of one time treated sea water will result in higher-quality water that can be used for a variety of purposes. The Hydrodynamic Cavitation method by using venture orifice is proven to be the most effective over the other methods. Because it does not require any chemical reagent, hence does not produce any hazardous chemical waste, and maintains an eco-friendly and economically sustainable, environment benign technique for the treatment of Seawater.

DOI: 10.61137/ijsret.vol.10.issue4.187

Published by: Kajal Tripathi