Daily Archives: June 13, 2025

Authors: Mahboob Ansari, Dr. Shahnwaz Alam, Dr.Mohd Faizan Hasan

Abstract: The welding of metals is a critical process in various industries, and the choice of welding technique can significantly influence the quality of the weld. This study presents a comparative analysis of microstructural and mechanical properties of MS1018 steel welded using Friction Welding (FW) and Tungsten Inert Gas (TIG) Welding operations. The MS1018 steel, a widely used medium carbon steel, was chosen for its applications in construction and automotive industries. The study evaluates the influence of welding processes on the microstructure, hardness, tensile strength, and impact toughness of the welds. The research concludes by comparing the outcomes of both welding methods and discussing their advantages and limitations in terms of welding quality, performance, and suitability for specific applications.

Published by: vikaspatanker

Authors: NIKITA RATHORE

 

 

Abstract: Global superstores have emerged as a cornerstone of the modern retail industry, offering diverse products and competitive prices that cater to a wide consumer base. This study examines the operations, challenges, and societal impacts of global superstores, focusing on their role in international commerce and their influence on local economies. By employing a mixed-methods approach, including customer surveys, interviews with industry stakeholders, and secondary data analysis, the research provides a comprehensive understanding of superstore dynamics. Key findings highlight the advantages of enhanced consumer access and operational efficiency, juxtaposed with concerns about sustainability and labor practices. The study underscores the need for strategies that balance profitability with social and environmental responsibilities, contributing valuable insights for academia, practitioners, and policymakers in navigating the evolving retail landscape

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Shubhangi Murukate, Professor Dr. Ayesha Siddiqui

Abstract: Healthcare emergencies require rapid, coordi- nated, and intelligent responses. This paper proposes an AI- enabled emergency response optimization system integrated with blockchain-based smart contracts to enhance efficiency, transparency, and automation in critical healthcare scenarios. The system leverages machine learning for incident prediction and prioritization, while smart contracts ensure secure, real- time collaboration among hospitals, ambulances, and government agencies. Experimental simulations show improved response time and reduced resource allocation errors. The proposed system can significantly strengthen emergency preparedness and crisis response in healthcare.

Published by: vikaspatanker

Authors: Shubhangi Murukate, Professor Dr. Ayesha Siddiqui

Abstract: Healthcare emergencies require rapid, coordi- nated, and intelligent responses. This paper proposes an AI- enabled emergency response optimization system integrated with blockchain-based smart contracts to enhance efficiency, transparency, and automation in critical healthcare scenarios. The system leverages machine learning for incident prediction and prioritization, while smart contracts ensure secure, real- time collaboration among hospitals, ambulances, and government agencies. Experimental simulations show improved response time and reduced resource allocation errors. The proposed system can significantly strengthen emergency preparedness and crisis response in healthcare.

Published by: vikaspatanker

Authors: Akshita verma

 

Abstract: Purpose: To make calcium carbonate nanoparticles (CaCO₃NPs) and test their fluorescent and cytotoxic properties utilising Tradescantia pallida (Commelinaceae). Method: T. pallida aqueous leaf extract is used to make CaCO₃ NPs according to a straightforward technique (TPALE). Determine their crystalline nature and functional groups, Fourier transform infrared spectroscopy (FTIR) investigations are used. Photoluminescence characteristics of CaCO₃ Nanoparticles are evaluated using fluorescence spectroscopy. Following confirmation of CaCO₃ NP synthesis, the 3-(4,5-dimethylthiazol-2-yl)-2,5diphenyltetrazolium bromide (MTT) assay is used to assess cytotoxicity against HeLa cell line. Conclusion: On the basis of TPALE, a simple method for synthesising CaCO₃ NPs has been successfully established. The generated CaCO₃ NPs have good luminescent characteristics and are cytotoxic to a cancer cell line.

DOI: http://doi.org/ijsret.vol.11.issue3.152

 

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Authors: Assistant Professor P. Kamakshi Thai, A. Pruthvi, R. Akshith, V. Stephen Moses

 

Abstract: This project presents a deep learning-based system for converting handwritten notes into fully editable Microsoft Word documents. Instead of relying on traditional Convolutional Neural Networks (CNNs) and Bidirectional Long Short-Term Memory (BiLSTM) networks, this approach leverages Microsoft’s TrOCR model, a transformer-based OCR system designed for handwritten text recognition. The use of TrOCR, pre-trained and accessible via Hugging Face, significantly enhances transcription accuracy and reduces the complexity of training custom models. The process begins with image preprocessing to refine input quality, ensuring optimal text extraction. TrOCR’s powerful transformer architecture then deciphers handwritten text by leveraging attention mechanisms to model contextual dependencies within sequences. Following initial transcription, a post-processing module performs spell and grammar corrections, refining the extracted text for improved readability. The final structured output is formatted and automatically saved as a .docx file, enabling seamless integration with document generation tools. By employing state-of-the-art transformer-based OCR, this system achieves high readability and reliability, making it suitable for applications in education, legal documentation, healthcare records, and general document imaging. The transition to TrOCR eliminates the need for complex recurrent architectures, ensuring a streamlined and efficient recognition pipeline

DOI: 10.61137/ijsret.vol.11.issue3.151

 

Published by: vikaspatanker

Authors: Mohanprasath M, M. Sheik Mohamed Anas.

Abstract: In today’s world, concrete serves a crucial role in the development of every infrastructure and people are also starting to migrate from rural to urban areas. This situation necessitates the development of infrastructure in the urban areas, mostly in the vertical direction form of high-rise structures that utilize enormous columns, which take up more room and have a less appealing aspect. Concrete Filled Steel Tubular (CFST) columns are one of several ways developed by the building industry to address these issues. Huge areas may be used since CFST Columns minimize the size of the large columns. CFST columns are becoming common in construction, particularly for high-rise structures. The structural performance of concrete-filled CFST columns are discussed in many literatures, while CFST columns utilizing ceramic waste powder and glass fiber with replacement of reinforcement is not mentioned in any of the literatures. This study is about the performance of CFST columns with ceramic waste powder replacing cement and GI welded wire mesh replacing reinforcement and adding the glass fiber. The properties of the materials used in CFST columns is studied.

DOI:

 

Published by: vikaspatanker

Authors: Shaunak Das, Saumyajit Maulik, Subhodeep Sengupta, Shubhajit Mridha, Sagnik Banerjee, Supriyo Mondal, Anurima Majumdar, Antara Ghosal, Koushik Pal

Abstract: Explainable Artificial Intelligence (XAI) is now quickly becoming the game changer which makes it easier to get the answer of why the complex engineering models do what they do. Explainable Artificial Intelligence (XAI) refers to the AI systems which are designed to provide clear and understandable outcomes of their decisions, predictions and actions. XAI aims to make the Artificial Intelligence system more transparent and trustworthy for the users. This study aims to dive into how using XAI can be a better and efficient option for designing and implementing the microstrip patch antenna. Microstrip patch antennas are good options for wireless network design and implementation because they are small in size and cost effective. The traditional methods of designing those antennas tend to depend on the guess and round after round of try and check which produces delays and keeps us detached from what’s going on with the trade-offs in the designing process. By using the XAI into the design of microstrip patch antennas can make a huge impact on the optimization of design by providing us clear and interpretable insights into the design parameters and their impact on the working performance of the antenna. By applying XAI techniques such as feature importance analysis, feature selection, rule based systems designers can get a deeper understanding about the design parameters, rules and regulations

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Tanush Nayan Shenai

Abstract: Superconductivity and electromagnetism are two groundbreaking technologies that are reshaping the future of engineering across key sectors. Superconductivity, which enables the conduction of electricity without resistance at very low temperatures, is driving breakthroughs in energy efficiency and magnetic field manipulation. When combined with electromagnetic and magnetic levitation (maglev) technologies, it allows for the creation of frictionless and powerful systems that push the boundaries of speed, efficiency, and sustainability. In transportation, maglev trains are facilitating unprecedented high-speed travel, offering faster, quieter, and more environmentally friendly transportation. In aerospace, these technologies are transforming spacecraft launches, enhancing propulsion and control. Additionally, in the defense sector, electromagnetic technology powers railguns, electromagnetic aircraft launch systems (EMALS), and other advanced weapons, improving defense and attack capabilities. This paper explores the specific technologies of superconductivity and electromagnetism, examining their applications in transportation, aerospace, and military sectors. By highlighting recent advancements and addressing ongoing challenges, it reveals the potential and feasibility of these technologies in shaping the future

DOI: https://doi.org/10.5281/zenodo.15709797

Published by: vikaspatanker

Authors: Dr. Bincy K Jose

Abstract: Wireless Electric Vehicle (EV) charging offers a seamless and efficient alternative to conventional plug-in systems, enabling user convenience, automation, and compatibility with dynamic and autonomous mobility. As the global transition to electrified transportation intensifies, the need for smart, contactless energy delivery solutions becomes imperative. This paper presents a comprehensive review of wireless EV charging technologies, focusing on power transfer methods, system design, control strategies, safety standards, and real-world applications. It integrates insights from academic literature and a student-developed prototype to explore the current state, challenges, and future direction of wireless EV charging infrastructure.

DOI: http://doi.org/ijsret.vol.11.issue3.150

Published by: vikaspatanker