Category Archives: Uncategorized

Abstract-Lunar mineral mapping is crucial for understanding the Moon’s formation, geological evolution, and resource potential. This review paper examines the significant contributions of the Chandrayaan-2 mission to this field. Prior to Chandrayaan-2, missions like Clementine and Chandrayaan-1 provided foundational mineralogical data, revealing the Moon’s diverse composition dominated by minerals such as plagioclase feldspar, pyroxenes, and olivine, with regional variations reflecting magmatic differentiation and impact processes. Chandrayaan-2, equipped with advanced instruments including the Imaging Infrared Spectrometer (IIRS), significantly enhanced lunar mineral mapping capabilities. This review synthesizes key findings from Chandrayaan-2, highlighting its high-resolution spectral and spatial data that have refined our understanding of mineral distribution across the lunar surface. Methodologies employed encompass sophisticated spectral unmixing and analysis techniques applied to IIRS data, enabling the identification and mapping of subtle mineralogical variations, including hydration features and the composition of lunar geological units. The improved mineral maps generated by Chandrayaan-2 have profound implications for future lunar exploration, resource utilization strategies, and a more nuanced comprehension of planetary formation processes within our solar system. This paper underscores the enduring legacy of Chandrayaan- 2 in advancing lunar science.

Abstract-A focus on synthesizing different types of two-dimensional Carbon nanostructures using Methane and Argon without catalyst has been conducted in Radio Frequency Plasma Enhanced Chemical Vapor Deposition. This study reports the variation in growth density, size and morphological characteristics of Carbon nanostructures by varying the gas compositions. Field Emission Scanning Electron Microcopy (FE-SEM) and Atomic Force Microscopy (AFM) studies shows the high percentage of Methane gas in the composition is directly proportional to the density and inversely proportional to the size of the nanostructure. We report that the concentration of Methane usually offers more carbon species or driving force for the growth of the two-dimensional carbon nanostructures. This process enables to increase the density and decreases the size of the nanostructures. The results of Raman spectroscopy show the typical carbon features at 1321,1571 and 2639cm-1 respectively. The intensity ratio of these two peaks ID/IG increases with increase in the Methane gas percentage in the composition indicates the nanocrystalline nature of two-dimensional carbon nanostructures with a large number of defects.

Abstract-Network connection for systems with purpose of exchanging with collection of Mobile communication system with ground operating surface for allowing mobile devices with telecommunication network for transmitting data with use of underground devices While the research paper focuses on Self – evolving method for featuring Time – series analysis with use of magnetic field of lines for self-adaptive signaling recombining and readvancing patterns for distribution and maintaining automated Rekeying Technology for Wireless Communication system . Intelligent Ecosystem Networking with the use of Cloud or Hybrid Cloud environments with the future of wireless communication network involves solutions for users, applications and devices involving identity management with securing adaptive access, identifying governance and user experience with use of self – evolving patterns for allowing mobile communication while transmitting network through all medium. The Main objective of the paper is Readvancing patterns for self-adaptive signaling following approach for distribution patterns.

Abstract-In this project, a hand-operated hydraulic Metal Sheet cutter machine has been fabricated. A hydraulic jack is used as the hydraulic component here. The project was started to minimize the effort required in shearing metal sheets of various thicknesses compared to that required when using a simple hand-operated mechanical sheet cutter. The cutting of metal sheets is an essential process in various industries, but conventional cutting machines are often expensive, energy-intensive, and cumbersome to operate. This thesis presents the design and fabrication of a cost-effective, hand-operated hydraulic metal sheet cutter aimed at providing a simple yet efficient solution for small-scale industries and workshops. The device operates using a hydraulic mechanism, eliminating the need for electrical power, and can be manually operated with minimal physical effort. The cutter is designed to handle a range of metal sheet thicknesses, offering versatility while maintaining precision and durability. The design focused on optimizing the cutting force and mechanism to achieve high cutting efficiency with reduced human exertion. The project encompasses the entire development process, including the design calculations, material selection, and fabrication techniques. Performance tests were conducted to assess the functionality and efficiency of the cutter under various conditions. The results demonstrate that the hand-operated hydraulic cutter can effectively cut metal sheets with minimal deformation and high accuracy, making it a practical tool for small workshops or environments with limited resources. This study concludes that the developed system is not only economical and environmentally friendly but also provides an innovative alternative to conventional electrically powered cutting machines. Further optimization could potentially enhance its applications across various industries.

Abstract-Authenticity plays a crucial role in shaping consumer purchase decisions, influencing brand perception, trust, and overall satisfaction. In an era where consumers have access to vast information and numerous product choices, authenticity has emerged as a key differentiator for brands. This study explores the impact of authenticity on consumer behaviour, examining factors such as brand transparency, product originality, ethical practices, and emotional connection. By analysing consumer preferences and decision-making patterns, the research highlights how perceived authenticity fosters brand loyalty and drives purchasing intent. The findings suggest that businesses that prioritize authenticity in their branding, communication, and product offerings gain a competitive edge in the market. This study provides valuable insights for marketers and brand strategists aiming to build long-term consumer relationships based on trust and credibility.

Abstract-This research paper conducts a comparative analysis of the old and new tax regimes for the financial year 2023-2024 in order to evaluate their impact on individual taxpayers, businesses, and government revenue. The study compares the main differences in tax slabs, deductions, and overall tax burden at different income levels. Further, it covers the compliance burden and administrative efficiency of both regimes, analysing how they affect taxpayer behaviour and economic decision making. This research will apply a combination of both qualitative and quantitative methodologies. The financial impact of each regime for different taxpayer groups is analysed by comparing tax liabilities under different income brackets, showing which regime provides more benefits for each group of taxpayers. Interviews and surveys with tax professionals and salaried people reveal information related to preferences, challenges, and practical implications associated with each regime. The study further analyses broader macroeconomic indicators, such as revenue generation, disposable income, and investment trends, in order to find out the broader economic implications of the tax reforms. The research results find that the old tax regime remains beneficial for those with significant investments that result in savings under the deduction sections: 80C, 80D, and HRA. The old regime is likable by high-income earners and those with complicated financial structures because it saves on taxes. On the other hand, middle-income earners and those without substantial investments prefer the new tax regime since it reduces complexity in tax filing and compliance. The new regime may also involve an increase in disposable income, which may fire up consumer spending, although it is less clear what the effect will be on long-term savings and investment patterns. This, therefore, implies that both regimes have their respective advantages and limitations, and the optimal choice would depend on an individual’s financial situation and tax saving strategy. Policymakers must continue to refine tax structures for better revenue generation and taxpayer convenience, ensuring economic stability. This detailed comparative assessment will help taxpayers make informed financial decisions and contribute to the ongoing discourse on tax policy improvements in India.

Abstract-This paper introduces Vishwanath’s Law of Dynamic Mass-Energy Redistribution, which proposes a novel framework to understand the adaptive behavior of mass in non-inertial reference frames. Traditional mass-energy equivalence fails to incorporate mass fluctuations due to high internal energy shifts and entropy variations. Using advanced tensor calculus and Lagrangian mechanics, we derive a modified mass-energy relationship. Applications in missile propulsion, quantum mechanics, and astrophysical anomalies are explored, providing new insights into mass-energy interactions.

Abstract-This paper examines the pivotal role of artificial intelligence (AI) in transforming business practices, tracing its evolution from foundational research and innovation to practical market deployment. As AI technologies rapidly advance, they are reshaping industries by enhancing productivity, enabling data-driven decision-making, and fostering the development of intelligent products and services. The study highlights the dual nature of AI’s impact, addressing both the opportunities it presents for economic growth and innovation, as well as the challenges and ethical considerations it raises for various stakeholders, including businesses, consumers, and policymakers. Through an analysis of key research breakthroughs and their implications for entrepreneurial activities, the paper identifies trends in AI start-ups and their contributions to the market. Ultimately, this research aims to provide a comprehensive understanding of how AI is not only revolutionizing business operations but also influencing the broader economic landscape, thereby offering valuable insights for practitioners and researchers alike. In recent years, the emergence of a multitude of intelligent products and services has sparked widespread interest in artificial intelligence (AI) and its commercial viability, raising critical questions about whether this trend represents genuine transformation or mere hype. This paper investigates the extensive implications of AI, exploring both its positive and negative impacts on governments, communities, companies, and individuals. By examining the journey of AI from research and innovation to market deployment, the study highlights significant academic achievements and innovations in the field, as well as their influence on entrepreneurial activities and the global market landscape. Additionally, the paper identifies key factors driving the advancement of AI technologies. To further explore entrepreneurial engagement with AI, two lists of the top 100 AI start-ups are analyzed. The findings aim to enhance understanding of AI innovations and their broader impact on businesses and society, ultimately providing insights into how AI can transform business operations and contribute to the global economy.