Volume 13 | Issue 4 |

 Abstract

Controlling a blast furnace in real time is exceptionally demanding: the furnace's internal temperature, pressure, and gas flows shift constantly, and even slight deviations can push the silicon content outside of acceptable limits or force emergency shutdowns. Traditional Computational Fluid Dynamics (CFD) models provide detailed spatial snapshots of these conditions, but each simulation can take hours or days--far too slow to guide minute-to-minute adjustments on the plant floor. Two algorithms are ensembled to balance accuracy and interpretability. Deployed on a cloud platform, the system processes live sensor feeds and delivers new predictions in under a minute via a web dashboard. Early pilot results indicate a 5-10% boost in throughput, a 7% cut in fuel use, and a notable reduction in CO? emissions, demonstrating that real-time, explainable machine learning can both accelerate decision-making and promote greener steelmaking.

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 Keywords

Blast Furnace, Machine Learning, CFD Simulation, XGBoost, Real-Time Prediction, Intelligent Ironmaking Systems

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Rural artisans in India and Karnataka have played a significant role in the economic and cultural background of the society since ancient times. Handicraft skills like weaving, carpet making, wood carving, clay and metal work have been a source of folk heritage and livelihood. However, modernization, industrialization, globalization and technology-based modern production methods have posed many challenges to their lives and businesses. Shortage of raw materials, lack of direct access to the market, over-prevalence of middlemen, financial difficulties, lack of interest of the younger generation and lack of institutional support are the major challenges. This study analyzes the available literature on the change, continuity and revival efforts of rural artisans in India and Karnataka. The diversity of these professions and the severity of the problems they face are evident through the examples from different states. The study also examines the effectiveness of projects undertaken by researchers and policymakers to preserve and revitalize these professions in the present era. The focus of this study is on the belief that the innovative power of rural artisans, combining the skills, creativity, and heritage of rural artisans with modern technology and marketing, can pave the way for building a sustainable rural economy.

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 Keywords

Rural Artisans, Traditional Professions, Modernization and Renewal, Market Challenges, Economic Situation, Entrepreneurship, Cultural Heritage, Impact Of Globalization, Cooperation and Support System, Career Continuity and Change.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper explores the intricate processes of identity construction in the war memoirs - Malala Yousafzai's I Am Malala and Ishmael Beah's A Long Way Gone. By analyzing their personal narratives, the research examines how experiences of violence, displacement, and resilience shape selfhood. Drawing on theories of trauma, postcolonialism, and narrative identity, the study highlights how these memoirs function both as testimonies and as acts of self-definition. It argues that the fragmentation caused by conflict is not only a site of trauma but also a foundation upon which new identities are built. Through comparative textual analysis, this paper uncovers how memory, culture, and the global discourse on war influence the formation and articulation of identity in youth caught in conflict.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Identity construction, war memoirs, trauma narrative, postcolonialism, youth and conflict, narrative identity, autobiography, memory and resilience

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Kangaroo mother care (KMC) is a technique that involves skin to skin contact between a newborn infant and a care giver.. This review standpoints the effect of KMC on post natal mothers to gain knowledge and practice, weight gain of LBW neonates,. KMC-TP also improves breastfeeding rates and reduces mortality rates during the hospital stay as well as at home. KMC-TP can be provided not only by mothers but also by fathers, Grandparents and other adults in the family. However, it is not routinely practiced in hospitals. Short-term and long-term KMC-TP is beneficial for life survival, growth and development, neurobehavioral development, organ development, breastfeeding, and mother-infant bonding. When the babies were delivered before completion of 37wks of gestation those babies are more likely to experience neonatal mortality and morbidity due to acute breathing problems, gastrointestinal problems, autoimmune disorders, and neurological defects as compared to full-term and normal-weight gain infants. A thorough literature search was conducted using key databases like PubMed and Google Scholar, as well as web of sciences and Medical Subject nursing Heading (MeSH) terms and related keywords. Clinical health experts also believed that implementing with good practices of KMC-TP would assist mothers in developing their emotional bonds with their baby. As a result, KMC managed babies had better weight gain ,earlier hospital discharge and more impressively, empowers parents : good bonding , increased confidence , and deep satisfaction due to active involvement in KMC-TP and also improves health outcome by providing early Breast feeding, temperature regulation and Strong bonding. It is crucial to remember that KMC-TP works better for babies with very low birth weight (VLBW), preterm babies, infant wellbeing and develop good bonding among mothers with their infants. The mother-child relationship enhances growth parameters like physical, behavioral and psychosocial parameters.

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 Keywords

Kangaroo mother care , mother, infant

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper examines the health implications of night shift paintings in various industries, specifically in IT and production sectors. The study explores bodily, intellectual, and social fitness demanding situations faced by using night time shift employees and employs Orange Data Mining strategies to analyze actual-international datasets for patterns in health risks. By understanding those developments, effective answers are proposed to mitigate the poor impact of night shifts on employees' nicely-being.

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 Keywords

Night Shift Work, Occupational Health, Sleep Disorders, Mental Health, Circadian Rhythm, Fatigue, Orange Data Mining, Workplace Wellness, Health Solutions, Data-Driven Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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As machine learning models become more prevalent, safeguarding privacy has become a critical challenge. This paper offers a comprehensive review of privacy-preserving machine learning (PPML) approaches, highlighting key techniques, existing challenges, and potential directions for future research. It examines the integration of privacy-preserving strategies into machine learning algorithms, workflows, and system architectures. The review also underscores the dynamic regulatory landscape and emphasizes the urgent need for innovative measures to address privacy concerns effectively. To advance the field, we introduce a structured framework, termed the Phase, Guarantee, and Utility (PGU) model, for systematically evaluating PPML approaches and offering guidance for both researchers and practitioners. By encouraging collaboration across disciplines--including machine learning, distributed systems, security, and privacy--this work aims to accelerate the development of robust and privacy-focused machine learning systems

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning differential Privacy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Business dashboards use Key Performance Indicators (KPIs) to give essential insights, but it's still challenging to efficiently extract and analyze large amounts of data. Decision-making is frequently hampered by cognitive overload, which reduces the usefulness of these tools. In order to automatically extract and summarize KPIs from dashboard screenshots, this study presents a Business Dashboard Summarizer that uses Large Language Models (LLMs), computer vision, and optical character recognition. The solution improves accessibility, reduces information overload, and improves business intelligence productivity by turning raw data into concise, natural-language summaries. This study demonstrates how AI-driven summarization can optimize data interpretation and make strategic insights easy to use and more actionable.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Business Dashboard, KPI Extraction, LLMs, AI Summarization, Computer Vision, Business Intelligence, Optical Character Recognition.

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigates the economic and social impact of digital payment adoption in rural areas, where financial inclusion and access to formal financial services have long been significant challenges. With the increasing penetration of mobile phones and internet connectivity, digital payment systems are becoming more accessible to rural populations, offering a promising solution to these challenges. The research aims to assess the level of adoption, evaluate economic benefits such as increased financial inclusion, reduced transaction costs, and improved access to financial services, and explore social implications including changes in financial behavior, empowerment, and social relationships. The study uses a mixed-methods approach, combining quantitative survey data with qualitative insights gathered from rural communities through focus groups and interviews. The findings provide valuable insights into the potential benefits and challenges of promoting digital payments in rural areas, informing policymakers, financial institutions, and digital payment service providers on how to harness the potential of digital payments for promoting financial inclusion and economic development. By shedding light on the complex interactions between digital payments, economic outcomes, and social dynamics in rural areas, this research contributes to the development of targeted strategies and interventions that can enhance the accessibility, effectiveness, and sustainability of digital payment systems in these regions. Ultimately, this study aims to foster a more inclusive and sustainable financial ecosystem in rural areas, where digital payments can play a key role in improving the economic and social well-being of rural populations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital payments, rural areas, financial inclusion, economic impact, social impact, financial behavior, empowerment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An innovative device referred to as a virtual hand gesture mouse seeks to enable individuals to operate computers using more ease than before without any conventional hardware. Advanced computer vision strategies are explored to identify movements of the human hand from a camera shot including shape analysis, object detection, and machine learning. Specific hand movements, including finger movements for moving the cursor, clicking, scrolling, and dragging objects, are commonly recognized by the system. The Hygienic, Simple and Convenient Touchless Technology Touchless technology is a hygienic, simple, and convenient way of approaching different activities that are executed on a daily basis. The touchless technology is characterized by the absence of any physical contact with the device that one is using to execute a certain application or activity. It is mostly used in places such as the hospitals where there are high chances of contracting various diseases through physical contact with the devices. According to researchers, the amount of bacteria in a single computer mouse is more than that of a human toilet. In order to reduce the chances of contracting diseases, the touchless technology is applied in places such as the hospitals to prevent any form of physical contact with the devices. The touchless technology is also used in the public places where touching is not allowed. In such places, the human beings are expected to perform various activities based on the touchless technology. The touchless technology is not only applied in public places but also in the case of virtual reality where one is expected to perform various activities in accordance to the touchless technology. The touchless technology enables the user to be able to use a device without necessarily having any physical contact with the device. The hand gesture control can also be used to aid the physically challenged users.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Touchless technology, Virtual hand gesture mouse, Hand gesture control, Physical contact, Virtual reality, Computer vision

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: This project showcases a detailed design and implementation of a real-time physiological monitoring system that uses a low-power, secure Wireless Body Area Network (WBAN) built on the E-SECMAC algorithm. The system allows for continuous monitoring of vital signs such as electrocardiogram (ECG), heart rate, blood pressure, and body temperature, all while keeping energy consumption low and ensuring secure data transmission through advanced encryption methods. By taking advantage of the E-SECMAC cluster-based structure and adaptive clustering approach, the system significantly enhances scalability, energy efficiency, and reliability, making it ideal for remote health monitoring. Its performance has been thoroughly tested through extensive simulations and experiments, proving its capability to deliver accurate and dependable physiological data in real time. This innovative system has the potential to transform healthcare delivery by facilitating remote monitoring of patients with chronic conditions, leading to better patient outcomes and lower healthcare costs. Moreover, its flexibility and scalability make it a compelling option for a variety of applications, including sports, fitness, and elderly care. Overall, this project contributes to the advancement of next-generation healthcare technologies, setting the stage for the widespread use of WBANs in remote health monitoring. The insights gained from the system's design, implementation, and evaluation highlight the transformative potential of WBANs in enhancing healthcare delivery and improving patients' quality of life.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wireless Body Area Network (WBAN), E-SECMAC algorithm, physiological monitoring, low-power design, secure communication, and real-time monitoring.

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Creative Commons Attribution 4.0 and The Open Definition