Volume 10, Issue 03, June 2024
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Review on Seismic Response Analysis of Unsymmetrical Building using Viscous Dampers Swaraj Kondhare, Anandrao Jadhav
This paper presents Current advancements in the application of various energy-dissipative systems or devices, including dampers, are primarily responsible for reducing the seismic response of buildings. It is also utilized as a shock absorber in bridges and for the rehabilitation and retrofitting of damaged building structures. Different kinds of dampers are available on the market
Review on Seismic Response Analysis of Unsymmetrical Building using Viscous Dampers
Swaraj Kondhare, Anandrao JadhavDOI : 10.35291/2454-9150.2024.0281
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Review on Seismic Design of Steel Structure Sharad Patel, Anandrao Jadhav
Seismic design codes recommended the Force-Based Design method for the design of steel buildings. During intense seismic events, the FBD method employed capacity design principles to confine inelastic behavior primarily within beams in Steel Special Moment Resisting Frames, braces in Special Concentrically Braced Frames, and links in Eccentrically Braced Frames
DOI : 10.35291/2454-9150.2024.0282
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A machine learning-based approach for sentiment analysis on distance learning from Aircraft Tweets Dr.DHANDAPANI.P, T R VISHNU PRIYA, NILAPUJA NAVEEN, A UDAY KUMAR, K DAVYA
Sentiment Analysis involves assessing the emotional tone and content of text through Natural Language Processing (NLP) techniques. It encompasses extracting insights from various sources to understand consumer attitudes from different viewpoints. Often utilized for opinion tracking and sentiment extraction, it provides valuable insights for businesses to grasp user preferences
A machine learning-based approach for sentiment analysis on distance learning from Aircraft Tweets
Dr.DHANDAPANI.P, T R VISHNU PRIYA, NILAPUJA NAVEEN, A UDAY KUMAR, K DAVYADOI : 10.35291/2454-9150.2024.0283
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Contamination Study of Bidar and Aurad Taluka Ground Water Prof. Dr. Basappa B Kori
The study is taken up to investigate the contamination in the groundwater of BIDAR and AURAD taluka. First Samples were collected during in the month of January, All the necessary reagents are prepared according to standard methods. The analysis of physico-chemical parameters like pH, total hardness, dissolved oxygen, chloride, alkalinity and heavy metals like iron, fluoride and nitrate
DOI : 10.35291/2454-9150.2024.0284
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Factors affecting the financial performance of companies listed at Muscat Stock Exchange - An Empirical Study using SEM T V V Phani Kumar
Financial performance stands as a cornerstone for organizational vitality and sustainability, particularly within the dynamic landscape of stock exchanges. Understanding the complex association between factors influencing financial health is paramount for strategic decision-making and long-term success. This study explores the determinants of financial performance among industrial sector
Factors affecting the financial performance of companies listed at Muscat Stock Exchange - An Empirical Study using SEM
T V V Phani KumarDOI : 10.35291/2454-9150.2024.0285
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A Framework for Implementing Facial Recognition Attendance Systems using CNN Mr. A.M.Rangaraj, Ms.N.Deepika Reddy, Ms.B.H.Roopa, Mr. V.Abhishek Naidu, Mr.G.Siva Shankar Reddy
Imagine a smart attendance system designed specifically for schools and colleges, eliminating the hassle of tracking student attendance. This paper introduces a practical framework for implementing facial recognition attendance systems in schools using convolutional neural networks (CNN). The goal is to simplify and automate the process of tracking student attendance, eliminating the common problems
A Framework for Implementing Facial Recognition Attendance Systems using CNN
Mr. A.M.Rangaraj, Ms.N.Deepika Reddy, Ms.B.H.Roopa, Mr. V.Abhishek Naidu, Mr.G.Siva Shankar ReddyDOI : 10.35291/2454-9150.2024.0286
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Exploring Characterization Techniques for Materials: From Microscopy to Spectroscopy Sunder Pal Singh*
This paper delves into the diverse realm of material characterization techniques, spanning from traditional microscopy to cutting-edge spectroscopy methods. As materials science continues to evolve, the demand for precise characterization tools becomes increasingly imperative. This review explores the fundamental principles and practical applications of various characterization techniques
Exploring Characterization Techniques for Materials: From Microscopy to Spectroscopy
Sunder Pal Singh*DOI : 10.35291/2454-9150.2024.0287
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Entrepreneurship a redefined approach by Marwari Community Julie Bardia, Dr. Juthika Konwar
This study delves into the entrepreneurial ethos of the Marwari business community, employing an interpretivist paradigm. Utilizing responsive interviewing and observation, alongside an adapted 'inquiry from inside' approach, it explores the socio-cultural underpinnings of Marwari entrepreneurship. Through a hermeneutic case study method, it identifies intangible elements within Marwari society
DOI : 10.35291/2454-9150.2024.0288
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Enhancing Classification of Primary Skin Lesions using Ensemble Learning Azmath Mubeen, Uma N. Dulhare
The diagnosis of skin lesions is a critical area of dermatological research, particularly in the identification and classification of primary lesions, such as macules, nodules, papules, and plaques. Accurate classification of these lesions is paramount for effective diagnosis, treatment planning, and patient care. Misclassification can lead to incorrect treatments, potentially worsening
Enhancing Classification of Primary Skin Lesions using Ensemble Learning
Azmath Mubeen, Uma N. DulhareDOI : 10.35291/2454-9150.2024.0289
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IoT-based Unmanned Ground Vehicle for Firefighting Applications Aani Shaji, Meril Cyriac
This paper deals with developing an unmanned fire extinguishing robot with an SMS alert feature. The firefighting robot with SMS alert contributes to the field of fire safety by providing an efficient and proactive approach to detecting and suppressing fires. The robot is equipped with a sensor that detects CO levels in that affected area and in addition it can detect other poisonous gases
DOI : 10.35291/2454-9150.2024.0290
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Deep Learning for Dietary Awareness: An Image-Based Calorie Estimation System with Health Insights Mr. N. Sendhil Kumar, Ms. K. Chamundeswari, Mr. M. Rohith Kumar, Ms. Chenammachetty Pavithra, Mr. B. Ashok Kumar Reddy
Dietary research has revealed that issues like obesity are linked to other chronic conditions such as hypertension, unstable blood sugar levels, and heightened risk of heart attacks. These problems are primarily driven by poor lifestyle choices and unhealthy eating habits, which can be managed with the help of interactive mHealth applications. Traditional methods of dietary monitoring
Deep Learning for Dietary Awareness: An Image-Based Calorie Estimation System with Health Insights
Mr. N. Sendhil Kumar, Ms. K. Chamundeswari, Mr. M. Rohith Kumar, Ms. Chenammachetty Pavithra, Mr. B. Ashok Kumar ReddyDOI : 10.35291/2454-9150.2023.0291
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IMAGE CAPTIONING IN EYE FOR BLIND - CNN_RNN_Attention Mr. G. DHANA SEKAR, Mr. D. TENDIL PRASAD, Mr. KAMIREDDY NAGASIMHA REDDY, Mr. MENNULI PRASAD, Mr. JAKKALA BHARATH KUMAR
This project aims to bridge this gap by developing a system that converts images into text descriptions. The core functionality involves creating a robust model that accurately translates visual information into textual representations. These text descriptions will then be processed using a readily available text-to-speech API, transforming the written content into an audible format
IMAGE CAPTIONING IN EYE FOR BLIND - CNN_RNN_Attention
Mr. G. DHANA SEKAR, Mr. D. TENDIL PRASAD, Mr. KAMIREDDY NAGASIMHA REDDY, Mr. MENNULI PRASAD, Mr. JAKKALA BHARATH KUMARDOI : 10.35291/2454-9150.2024.0292
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Study on the Land cover and Landuse change in Medak district of Telangana during the early 21st century T. Srujana Deepthi, Dr. B. Laxmaiah
Land cover-landuse change is evident over time throughout the globe. It is mainly influenced by two major forces i.e., Natural and Anthropogenic. Earths natural forces such as climatic, geologic and catastrophic phenomena including human induced effects are the main causatives behind the land cover and landuse changes. In this study Medak district of Telangana situated on the table land of Deccan Trap
Study on the Land cover and Landuse change in Medak district of Telangana during the early 21st century
T. Srujana Deepthi, Dr. B. LaxmaiahDOI : 10.35291/2454-9150.2024.0293
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A Study On E-Commerce And E-Retailing: Analysing The Factors And Perceptions Of Indian Millennials Dr. Manish Sahu, Dr. Sumita Bhatia
The Internet is a necessary component of our daily existence. We accomplish nearly all of our daily duties online. Prior to e-commerce rise in India, goods were bought and sold in offline markets; but, e-commerce's numerous advantages have made life easier for us now. Through online shopping, we can buy and sell items of our choosing at a fair price thanks to Indian e-commerce companies
A Study On E-Commerce And E-Retailing: Analysing The Factors And Perceptions Of Indian Millennials
Dr. Manish Sahu, Dr. Sumita BhatiaDOI : 10.35291/2454-9150.2024.0294
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The Role of Artificial Intelligence in Data Mining and Predictive Analysis Anurag Kumar, Prince Shood
In the era of big data, harnessing the power of Artificial Intelligence (AI) has become indispensable for effective data mining and predictive analysis. This paper explores the symbiotic relationship between AI and these crucial data-driven processes. Through a comprehensive review of existing literature and case studies, we delve into the manifold ways AI techniques
The Role of Artificial Intelligence in Data Mining and Predictive Analysis
Anurag Kumar, Prince ShoodDOI : 10.35291/2454-9150.2024.0295
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Enhancing Breast Cancer Detection Through STARLIMS: Development, Implementation, and Benefits Saurabh Tiwari, Prince Shood
Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide, emphasizing the critical need for early and accurate detection. This paper explores the development, implementation, and benefits of utilizing STARLIMS (Scientific Testing and Research Laboratory Information Management System) in breast cancer detection laboratories
Enhancing Breast Cancer Detection Through STARLIMS: Development, Implementation, and Benefits
Saurabh Tiwari, Prince ShoodDOI : 10.35291/2454-9150.2024.0296
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Magnify Productivity by Tracking the Solar Maximum Power Point UsingAdaptive Neural Fuzzy Interface Technique Shubham, Dr. Chandra Prakash, Prof (Dr.) Pankaj Sharma
In the current work we dissection the problem arises due to change in environmental condition whilst extracting power from the solar panel. There are some drift problems with solar panel due to the continuously changing temperature and irradiance so to mitigate this challenging task we have to design a system which is capable to adjust along with temperature and irradiance change
Magnify Productivity by Tracking the Solar Maximum Power Point UsingAdaptive Neural Fuzzy Interface Technique
Shubham, Dr. Chandra Prakash, Prof (Dr.) Pankaj SharmaDOI : 10.35291/2454-9150.2024.0297
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Greening Academia: A Proposal for Implementation of Solar Power Plant in Academia Harinath Reddy Nakkala
The rising demand for clean energy solutions has spurred the exploration of solar power integration in various sectors. This study investigates the feasibility of replacing the grid-based power source for the Academic block in Y.S.R. Engineering College of YVU, Proddatur, Andhra Pradesh with a solar photovoltaic (PV) system. A comprehensive analysis was conducted, encompassing power load calculations
Greening Academia: A Proposal for Implementation of Solar Power Plant in Academia
Harinath Reddy NakkalaDOI : 10.35291/2454-9150.2024.0298
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Applying Machine Learning Algorithms to Diagnose Breast Cancer: A Comparative Study Harkesh Kumar, Kavish Tomar, Prof. (Dr.) Sandeep Gupta
Breast cancer poses a substantial global health challenge for women, emphasizing the critical importance of early detection for effective treatment. The adoption of machine learning algorithms in the detection of breast cancer has shown promise in recent times. These algorithms enhance patient outcomes. In these research nine distinct classification techniques for breast cancer detection are employed
Applying Machine Learning Algorithms to Diagnose Breast Cancer: A Comparative Study
Harkesh Kumar, Kavish Tomar, Prof. (Dr.) Sandeep GuptaDOI : 10.35291/2454-9150.2024.0299
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Overview on Biomaterials: Exploring Nature's Engineering for Medical Advancements Sunder Pal Singh*
Biomaterials have emerged as a cornerstone in modern medical science, revolutionizing treatments and interventions across various disciplines. This paper delves into the diverse landscape of biomaterials, elucidating their pivotal roles in tissue engineering, drug delivery, regenerative medicine, and medical device fabrication. From synthetic polymers to naturally derived substances, biomaterials
DOI : 10.35291/2454-9150.2024.0300
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An Analysis of Earnings Efficiency of Select Indian Public and Private Sector Banks Geetha Muthyala
The project “Enhancing corrosion resistance of carbon steel through non-thermal plasma coating” is about metal corrodes when it reacts with other substances such as oxygen, hydrogen, an electrical current or even dirt and bacteria. Corrosion can also happen when metals like steel are placed under to much stress causing metals to crack. With intention of improving both environmental and economical
DOI : 10.35291/2454-9150.2024.0301
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Cybersecurity Solutions Using AI and Machine Learning: A Comprehensive Review and Analysis Shubham Kumar, Prince Shood
The rapid digitization of global infrastructure has significantly increased the complexity and volume of cyber threats, necessitating the evolution of cybersecurity measures. Traditional methods, while foundational, are often insufficient against sophisticated, evolving attacks. This paper explores the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing cybersecurity
Cybersecurity Solutions Using AI and Machine Learning: A Comprehensive Review and Analysis
Shubham Kumar, Prince ShoodDOI : 10.35291/2454-9150.2024.0302
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Comparative Analysis of RC Concrete Frames with Precast Concrete Frames Shilpa S, Mohammad Athraz
The increasing urban population has led to a growing demand for high-rise buildings, demanding advancements in construction technology. Efficient use of land, slow construction process and maintaining structural safety standards in earthquake-prone areas are the main concerns in modern construction. Precast construction techniques allow prefabrication of structural components
DOI : 10.35291/2454-9150.2024.0303
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Performance based Dynamic analysis of a HighRise Diagrid structure and structure comprising of Fluid Viscous Dampers Anirudh Jadhav, Prof. L.G. Kalurkar
This study presents a comparative analysis of two building models designed using ETAB software: one utilizing a diagrid structural system and the other incorporating fluid viscous dampers. The primary objective is to evaluate and compare their seismic performance in terms of displacement, storey stiffness, storey shear, and storey drift. The results indicate that while the fluid viscous damper system
Performance based Dynamic analysis of a HighRise Diagrid structure and structure comprising of Fluid Viscous Dampers
Anirudh Jadhav, Prof. L.G. KalurkarDOI : 10.35291/2454-9150.2024.0144
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Fog SC: Combining Intelligence with Fog Computing to Analyze Large Data in Smart Cities Rubina Shaikh, Prashant Itankar
The research endeavors to perform big data analysis on the extensive data produced by the Internet of Things (IoT) in smart cities. Its objective is to steer smart cities toward effective governance and secure data processing. To address the diverse data sources within smart cities, the research develops a multi domain data based smart city enhancement model through two level learning
Fog SC: Combining Intelligence with Fog Computing to Analyze Large Data in Smart Cities
Rubina Shaikh, Prashant ItankarDOI : 10.35291/2454-9150.2024.0145
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Exploring Key Thin Film Deposition Techniques: A Comprehensive Overview Sunder Pal Singh*
Thin film deposition techniques are crucial processes in various industries such as electronics, optics, and energy. This overview explores the key methods utilized for depositing thin films onto substrates. It discusses physical vapor deposition (PVD) techniques like thermal evaporation, sputtering, and pulsed laser deposition, which involve the evaporation or sputtering of materials onto a substrate
DOI : 10.35291/2454-9150.2024.0146
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Analysis of Attacks using Wire Shark and Machine Learning Models A. Gayathri, Prof.Sameen Fatima
This paper presents a comprehensive analysis of network attacks using Wireshark, a popular network protocol analyzer, and machine learning models to enhance cybersecurity measures. The study begins by capturing and examining network traffic data through Wireshark, identifying various attack vectors such as Denial of Service (DoS), Man-in-theMiddle (MitM), and phishing. By leveraging Wireshark's
DOI : 10.35291/2454-9150.2024.0147
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A Comparative Study of Maritime Habitations: Exploring the Socioeconomic Landscape of Fishing Communities in Visakhapatnam Dr. K. Srinivasu
The study explores the Visakhapatnam region's fishing villages' infrastructure connectivity. It looks at how social order is shaped by traditional governing structures, how easily and well healthcare is offered and how fishing infrastructure and boats support the local economy. It draws attention to issues including poor hygienic conditions, restricted access to healthcare, and changing fishing methods
A Comparative Study of Maritime Habitations: Exploring the Socioeconomic Landscape of Fishing Communities in Visakhapatnam
Dr. K. SrinivasuDOI : 10.35291/2454-9150.2024.0148
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Underwater Object Detection using Drone Nifin John, Onkar Chavan, Mayuresh Parab, Ashbel Rego, Prof. Laxmikant Bordekar, Prof. Sharvari Chanekar
Micron SONARs are some of the most widely used imaging system for obtaining large scale images of the seafloor. We propose in this paper an aerial drone to effectively detect underwater mines using the sonar attached to a drone, thereby enhancing the safety of maritime navigation and protecting valuable maritime assets. We also proposed in this paper the simulation of drone on Gazebo
Underwater Object Detection using Drone
Nifin John, Onkar Chavan, Mayuresh Parab, Ashbel Rego, Prof. Laxmikant Bordekar, Prof. Sharvari ChanekarDOI : 10.35291/2454-9150.2024.0149
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Study and Analysis of Flat Slab System Ms. Shruti Barbade, Prof. Mr. Halbandge S.D.
Civil Engineers are facing a great challenge in structural designing. The design must fulfill various parameters which include economic structure, durability and serviceability. But taking these points in mind it becomes very difficult for an Engineer to fulfill all these requirements at a time when a design is performed manually. This dissertation presents a research on digital tools used in civil
DOI : 10.35291/2454-9150.2024.0080
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A Comparative Study On the Financial Performance of SBI and ICICI Bank Dr.R.Vennila, Ms. Shalini S
The banking industry is essential to economic growth because it makes investments, capital allocation, and financial stability easier. A vital part of the Indian financial system, banks also contribute significantly to the nation's development. Banks assist in directing idle funds towards profitable ventures, credit generation, capital formation, etc. In the Indian economy, commercial banks
DOI : 10.35291/2454-9150.2024.0081
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Interactive Learning Progress Tracker for Students with Special Needs Sandra S Nambadan, Rohit Jeswani, Sarang Shailesh Kamath, Nikita Lisitsyn, Dr. Vineetha K R
Spectrum Scholars is an Interactive Learning Progress Tracker for Special Education which is a groundbreaking initiative aimed at revolutionizing the educational journey for students with diverse needs. This visionary project transcends traditional teaching methods by fostering a collaborative ecosystem where students, parents, and educators seamlessly interact to monitor and enhance individual
Interactive Learning Progress Tracker for Students with Special Needs
Sandra S Nambadan, Rohit Jeswani, Sarang Shailesh Kamath, Nikita Lisitsyn, Dr. Vineetha K RDOI : 10.35291/2454-9150.2024.0082
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Women Economic Empowerment: A Concrete Platform for fostering their participation in Entrepreneurship and Inclusive Growth in India – A Conceptual Review Dibyendu Banik, Sourav Shil
The empowerment of women is essential for the development of a nation. The freedom of a woman brings knowledge not only to her family but to the entire nation. Nowadays, women are doing well in all areas. They are working in business, taking care of families, working in science, technology etc. However, most women do not have the economic empowerment. A married woman's income helps to run the family
Women Economic Empowerment: A Concrete Platform for fostering their participation in Entrepreneurship and Inclusive Growth in India – A Conceptual Review
Dibyendu Banik, Sourav ShilDOI : 10.35291/2454-9150.2024.0083
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Web-based Image Annotation Sejal Nimkar, Shreya Mhetre, Simantini Rembhotkar, Nikita Patil
Grounding DINO and Segment Anything Model a.k.a SAM algorithms, a recent innovation from cutting-edge research, has garnered considerable attention. Trained on extensive datasets comprising diverse annotations, this tool demonstrates an exceptional ability to accurately annotate a variety of objects within images. In the original work, the tool's efficacy was assessed through intricate zero-shot
DOI : 10.35291/2454-9150.2024.0084
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A Study On Challenges Faced by Coffee Exports with Reference to NILGIRI District, Tamil Nadu Dr.V.Saranya, Mr. J.Sankar
This study investigates the challenges encountered by coffee exports in Nilgiri District, Tamil Nadu. Nilgiri District holds a significant position in the coffee industry, yet faces unique hurdles that affect its export operations. Through a combination of quantitative and qualitative analysis, this research aims to delineate these challenges and their impact on the local coffee export landscape
A Study On Challenges Faced by Coffee Exports with Reference to NILGIRI District, Tamil Nadu
Dr.V.Saranya, Mr. J.SankarDOI : 10.35291/2454-9150.2024.0085
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Cloud-Powered Transformation: Revolutionizing Engineering to Order Operations Nimesh K. Soni, Dr. Jeetendrakumar A. Vadher, Dr. HetalKumar N. Shah, Dr. Vinaykumar J. Patel, Dr. Anandkumar K. Patel
Engineering to Order (ETO) manufacturing is a production technique that is tailored to fulfill individual customer requirements. Organizations typically use ETO approach to manufacture and develop unique goods based on customer specifications. The application of lean manufacturing techniques in ETO operations is critical to reducing lead times. Reduced lead times in Engineering to Order are critical
Cloud-Powered Transformation: Revolutionizing Engineering to Order Operations
Nimesh K. Soni, Dr. Jeetendrakumar A. Vadher, Dr. HetalKumar N. Shah, Dr. Vinaykumar J. Patel, Dr. Anandkumar K. PatelDOI : 10.35291/2454-9150.2024.0086
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Interactive Learning Progress Tracker for Students with Special Needs Sandra S Nambadan, Rohit Jeswani, Sarang Shailesh Kamath, Nikita Lisitsyn, Dr. Vineetha K R
Spectrum Scholars is an Interactive Learning Progress Tracker for Special Education which is a groundbreaking initiative aimed at revolutionizing the educational journey for students with diverse needs. This visionary project transcends traditional teaching methods by fostering a collaborative ecosystem where students, parents, and educators seamlessly interact to monitor and enhance individual
Interactive Learning Progress Tracker for Students with Special Needs
Sandra S Nambadan, Rohit Jeswani, Sarang Shailesh Kamath, Nikita Lisitsyn, Dr. Vineetha K RDOI : 10.35291/2454-9150.2024.0082
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Women Economic Empowerment: A Concrete Platform for fostering their participation in Entrepreneurship and Inclusive Growth in India – A Conceptual Review Dibyendu Banik, Sourav Shil
The empowerment of women is essential for the development of a nation. The freedom of a woman brings knowledge not only to her family but to the entire nation. Nowadays, women are doing well in all areas. They are working in business, taking care of families, working in science, technology etc. However, most women do not have the economic empowerment. A married woman's income helps to run the family
Women Economic Empowerment: A Concrete Platform for fostering their participation in Entrepreneurship and Inclusive Growth in India – A Conceptual Review
Dibyendu Banik, Sourav ShilDOI : 10.35291/2454-9150.2024.0083
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Web-based Image Annotation Sejal Nimkar, Shreya Mhetre, Simantini Rembhotkar, Nikita Patil
Grounding DINO and Segment Anything Model a.k.a SAM algorithms, a recent innovation from cutting-edge research, has garnered considerable attention. Trained on extensive datasets comprising diverse annotations, this tool demonstrates an exceptional ability to accurately annotate a variety of objects within images. In the original work, the tool's efficacy was assessed through intricate zero-shot
DOI : 10.35291/2454-9150.2024.0084
-
A Study On Challenges Faced by Coffee Exports with Reference to NILGIRI District, Tamil Nadu Dr.V.Saranya, Mr. J.Sankar
This study investigates the challenges encountered by coffee exports in Nilgiri District, Tamil Nadu. Nilgiri District holds a significant position in the coffee industry, yet faces unique hurdles that affect its export operations. Through a combination of quantitative and qualitative analysis, this research aims to delineate these challenges and their impact on the local coffee export landscape
A Study On Challenges Faced by Coffee Exports with Reference to NILGIRI District, Tamil Nadu
Dr.V.Saranya, Mr. J.SankarDOI : 10.35291/2454-9150.2024.0085