journals

Serverless Data Processing System and its Design Space Consideration

Author(s): Arockia Raj A*, Kakoli Banerjee, A Anist, G N Beena Bethel, P Muthu Pandian, Purnendu Bikash Acharjee
Volume: 5 Issue: 4 Pages: 641-650
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01194


Abstract Serverless computing is becoming increasingly important in data-processing applications in science and business. The scheduler is at the centre of serverless data-processing systems, allowing for dynamic decisions on job and data placement. The complex design space, which is influenced by various user, cluster, and workload variables, presents problems for developing high-performance and cost-effective scheduling […]

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Bioenergy and Valuable Products from Floral Waste – Sustainable Approach

Author(s): Iadalin Ryntathiang, Shajni Krishna GM, Sivasankari Sekar, Archana Behera, Silambarasan Tamil Selvan, Mukesh Kumar Dharmalingam Jothinathan*
Volume: 5 Issue: 4 Pages: 531-541
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01133


Abstract Flower waste has emerged as a noteworthy issue, especially in the context of India’s growing floriculture sector. According to the Indian floriculture market report, specifically, the floriculture market is growing at a very high Compound Annual Growth Rate (CAGR) of 11%. 4% expected between 2024 and 2032. However, flower waste is still considered as

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Trends in Research Studies on Menstrual Distress and Selfefficacy Among Adolescent Girls: A Bibliometric Analysis

Author(s): Jeneefer Jeba Rajaselvi, Navin Kumar*
Volume: 5 Issue: 4 Pages: 629-640
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01193


Abstract Menstrual hygiene is a complex issue that requires coordinated efforts at various levels, especially for adolescent girls. However, the lack of basic facilities like sanitary products, water supply, and a safe environment for changing pads limits their options for safe menstrual hygiene. To understand more about menstrual distress and self-efficacy among schoolgoing girls, we

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Journeying through Resilience and Transition: Exploring Substance Abuse, Mental Health, and Well-being in Maria Campbell’s Halfbreed

Author(s): C Sindhu, NS Vishnu Priya*
Volume: 5 Issue: 4 Pages: 615-628
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01164


Abstract This research paper intensely analyses Maria’s challenges as depicted in Maria Campbell’s autobiographical Novel Halfbreed. It examines her metamorphosis from childhood to adulthood and the self-empowerment that resulted from her hardships. The article also looks at how Indigenous women have historically been marginalized and highlights Campbell’s story as an example of a young Native

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Enhancing Text Classification with Cyberbullying and Machine Learning Algorithms

Author(s): Denis R, Anita Jones Mary Pushpa T, Glory Sangeetha R, Kalyan Devappa Bamane*, Sathya S, Subramanian Selvakumar
Volume: 5 Issue: 4 Pages: 519-530
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01131


Abstract With the exponential rise of social media platforms, cyber bullying has become a significant issue, requiring sophisticated techniques for effective detection and prevention. Existing machine learning approaches, while foundational, often fall short in addressing the complex and nuanced linguistic patterns inherent in cyber bullying. This paper presents a novel framework that combines Recurrent Neural

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Unveiling The Enigma: Women’s Representation in After Dark by Haruki Murakami

Author(s): Midhat Tasneem, Laxmi Dhar Dwivedi*
Volume: 5 Issue: 4 Pages: 603-614
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01163


Abstract This paper examines the evolution of societal perceptions and role of women in Japan, particularly in the context of patriarchal ideologies, social and cultural constructs. Drawing on various scholarly perspectives this endeavour explores significant shifts in perceptions and treatment of women in Murakami’s novel After Dark. Through his novel, Murakami aims to explore the

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Revolutionizing Data Transmission Efficiency in IoT-Enabled Smart Cities: A Novel Optimization-Centric Approach

Author(s): Sudhagar D, Swapna Saturi, Mukesh Choudhary, Pranav Senthilkumaran, Eric Howard, Mrutyunjaya S Yalawar, RG Vidhya*
Volume: 5 Issue: 4 Pages: 592-602
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01113


Abstract In the modern era, IoT-based smart cities play a crucial role in enhancing the development and quality of life in advanced countries. As digital technologies and advanced metering systems become increasingly integrated with IoT devices in smart city applications, efficient data transmission strategies are essential. This paper introduces a novel approach, the Deep Belief-based

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Public Awareness on General Environmental and Sustainability Issues

Author(s): Donald Sambuaga*, Tinneke Evie Meggy Sumual, Orbanus Naharia, Victory NJ Rotty
Volume: 5 Issue: 4 Pages: 579-591
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01809


Abstract Indonesia is situated within the ‘ring of fire’, a region characterised by a high risk of natural disasters, which encompasses a number of Indonesian cities, including Manado City. While numerous studies have examined postdisaster mitigation strategies, there is a paucity of research evaluating disaster prevention efforts, particularly in Indonesia and Manado City. This research

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Optimization of Physical Parameters of Fermentation Medium for Biosynthesis of Alginate by A. vinelandii Using Molasses as ‘C’ Source

Author(s): Zarina Shaikh1*, Mohd Shakir2
Volume: 5 Issue: 4 Pages: 1495-1503
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01854


Abstract Biopolymer have varied industrial applications. Alginate is one such polymer conventionally extracted from brown algae of marine waters having versatile applications. Due to its increased market demand alternative options are being investigated for its synthesis from microbes. The present study focuses on the optimization of various physical parameters at flask level. Fermentation medium consisted

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Time Ahead Inclinations in Sustainable Supply Chain Management using Artificial Intelligence: A Bibliometric Approach

Author(s): Tushar Ranjan Sahoo1, Shivani Guru1*, Bishwajit Rout2, Bhanu Prasad Behera3
Volume: 5 Issue: 4 Pages: 1482-1494
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01849


Abstract Sustainable Supply Chain Management [SSCM] focuses on integrating environmentally sustainable practices into supply chains to balance economic growth with environmental care and social responsibility. The adoption of Artificial Intelligence [AI] in SSCM is revolutionizing supply chain operations by offering new opportunities for efficiency, transparency, and sustainability. The research paper is basically done to find

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