Volume 13 | Issue 4 |

 Abstract

In the rapidly evolving field of cloud computing, proper expedient management to accommodate different workloads is essential for both cost-effectiveness and peak performance. This study presents a hybrid workload forecasting model designed for cloud systems that blends statistical and machine learning techniques to increase prediction accuracy. By using operational parameters, historical workload data, and environmental conditions, the model generates projections that adapt to the shifting demands on cloud resources. By combining time series analysis with advanced machine learning algorithms like gradient boosting machines (GBMs) and recurrent neural networks (RNNs), the model finds both linear and non-linear patterns in the data., which improves resource allocation decision-making. We show that our hybrid methodology can predict workload changes more precisely than conventional forecasting techniques by validating its efficacy through comprehensive simulations and real-world experiments across several cloud platforms. A more resilient cloud architecture is eventually the consequence of the results, which show notable gains in resource utilization, lower over-provisioning costs, and improved service quality. In addition, the model has an adaptive learning mechanism that enables it to adjust its predictions over time in response to shifting trends and workload patterns. This hybrid forecasting methodology helps cloud service providers and businesses alike by tackling the crucial issue of workload fluctuation in cloud settings. This promotes better informed strategic planning and improved operational efficiency.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Soft Skills, Artificial Intelligence, Speech Recognition, Virtual Simulations, Skill Enhancement

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The digital revolution has significantly altered the consumer landscape in India, with online marketplaces and e-commerce platforms becoming integral to modern commerce. This shift, while enhancing convenience and accessibility, has also exposed consumers to novel forms of exploitation, including data breaches, misleading advertisements, unfair trade practices, and limited access to redressal mechanisms. In response, the Consumer Protection Act, 2019 (CPA), supported by the Consumer Protection (E-Commerce) Rules, 2020, seeks to provide a robust regulatory framework for ensuring consumer rights in the digital domain. This dissertation critically examines the role of the CPA in regulating digital platforms, focusing on the effectiveness of key statutory provisions such as Section 2(7) (definition of consumer), Section 18 (powers of the CCPA), and Section 94 (measures for digital consumer protection). It also evaluates the duties imposed on e-commerce entities under Rules 4, 5, and 6 of the E-Commerce Rules, particularly in relation to grievance redressal, transparency obligations, and the prohibition of unfair trade practices. The study explores the practical challenges faced by consumers, including lack of awareness, jurisdictional hurdles in cross-border transactions, and inefficiencies in online dispute resolution (ODR) systems. A comparative lens is applied to evaluate India's regulatory framework alongside international standards, such as the European Union's General Data Protection Regulation (GDPR) and the United States' Federal Trade Commission (FTC) guidelines, identifying best practices and potential reforms. Using doctrinal research and supplemented by case law and empirical insights, the dissertation concludes that while the CPA has made notable strides in addressing digital consumer issues, there remain critical gaps in enforcement, platform accountability, and technological adaptation. It recommends a multi-pronged approach--combining legislative reform, regulatory clarity, enhanced consumer education, and cross-border legal collaboration--to fortify consumer trust and legal efficacy in India's rapidly evolving digital marketplace.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer Protection Act 2019, E-Commerce Rules 2020, digital platforms, online marketplaces, consumer rights, unfair trade practices, grievance redressal, data protection, online dispute resolution (ODR), Central Consumer Protection Authority (CCPA), cross-border transactions, GDPR, FTC, platform accountability, consumer awareness, digital commerce regulation, India, comparative legal analysis, legislative reform, consumer trust.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Communication barriers between the hearing-impaired and non-sign language users pose significant challenges in everyday interactions. This paper presents a real-time system for converting live sign language into Tamil speech, enabling seamless communication for the deaf and hard-of-hearing community. The system utilizes computer vision and deep learning techniques to recognize hand gestures and facial expressions, which are then mapped to corresponding Tamil words and sentences. A text-to-speech (TTS) module further converts the recognized text into natural Tamil speech, ensuring an intuitive and accessible experience. The proposed solution aims to bridge the gap between sign language users and the general public, fostering inclusivity and accessibility.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sign Language Recognition, Tamil Speech Synthesis, Computer Vision, Deep Learning, Real-Time Gesture Recognition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Web3 Complaint Portal is a decentralized application that revolutionizes the traditional complaint management system by leveraging blockchain technology. Built using Next.js, TypeScript, and Tailwind CSS for the frontend, and Solidity smart contracts with Ethers.js for blockchain integration, this platform enables citizens to submit complaints that are permanently recorded on the Ethereum blockchain through the Sepolia testnet. The system implements a three-tier role-based access control (User, Officer, and Admin) with MetaMask wallet authentication, ensuring secure and transparent complaint handling. The portal features real-time complaint tracking, automated officer assignment, and immutable record-keeping, making it a robust solution for transparent and efficient complaint management. The integration of ThirdWeb and Hardhat development environment facilitates seamless blockchain interactions while maintaining a user-friendly interface for all stakeholders.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Current mirrors are fundamental circuit components in analog and mixed-signal circuits, playing a crucial role in biasing, signal amplification, and active loads. The efficiency of a current mirror is determined by parameters such as output resistance, compliance voltage, power dissipation, and current accuracy. This paper presents a comprehensive study on the design, simulation, and comparative analysis of different current mirror configurations, including simple, Wilson, cascode, and regulated cascode current mirrors. The study evaluates the impact of various semiconductor technologies (180nm, 45nm, and beyond) on these topologies. Simulations are conducted using industry-standard tools like Cadence Virtuoso and HSPICE to compare each design's efficiency, reliability, and power performance. The findings provide in-depth insights into selecting the most suitable current mirror topology for VLSI, RF, and low-power analog design applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Current Mirror, Wilson Current Mirror, Cascode, Analog Design, VLSI, Simulation, CMOS Technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In recent years, the increase in counterfeit products has caused serious problems for consumers and businesses, and has led to the loss of trust in e-commerce and physical stores. This study presents a new method for artifact detection using convolutional neural networks (CNN), a deep learning technique suitable for image recognition. We have created a comprehensive database containing images of structures and artifacts from multiple categories, which provides greater representation of features. We increase the robustness of the data and reduce the effects of overfitting by using advanced data enhancement techniques. Our CNN models are carefully designed to include multiple convolutional processes, followed by joint and fully connected processes, and optimized using methods such as version and batch normalization. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1 score, resulting in significant improvements in the detection process. Our results show that the CNN-based method can identify counterfeit products with high accuracy and provides a reliable tool for consumers and retailers. This research not only contributes to the field of product recognition, but also lays the foundation for the future development of the use of deep learning in counterfeit product protection.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN, SVM, ReLU, RFID, densenet

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The formulation and evaluation of natural lip balm with pineapple juice with the main ingredients and with other ingredients are glycerins, vit E oil, almond oil, bees wax, and petroleum jelly. Formulated the natural ingredients with the blends of herbs. Lip balm is the one of the use cosmetics. Herbals lip balm provides a holistic approach to the Lip care. Lip balm is the waxy substance that is applied to the lips for moisturizing and softening of the lips. The product help to hydrates and shield the lips from the environmental stressors, while its soothing properties calm and comfort the lips from the dryness and irritation. It also reduce the pain occurs with chapped and heal lips. Subsequently, the physical, chemical, and sensory aspects of the lip balm formulation are evaluated. The overall quality and consumer attractiveness of the product are assessed by analyzing various parameters, including color, pH, texture, fragrance, and moisturizing efficacy. Ultimately, the research seeks to offer a viable alternative to conventional lip balms, promoting both health-conscious and eco-friendly beauty solutions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pineapple, Herbal Lip Balm, Natural Ingredients, Antioxidants, Hydrated, Cosmetics, Nourishment, Moisturizing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nostalgia-driven food-related companies in South India are reviving forgotten childhood favorites, bringing back traditional sweets and snacks that once held a particular place in people's recollections. In addition to classic candies like Mango Bite, treats like Javvu Mittai (pulling toffee), Thaen Mittai (sugar syrup candy), Kadalai Mittai (peanut chikki), Nela Kadalai Urundai (groundnut balls), Kamarakattu (jaggery and coconut candy), Pottukadalai Urundai (roasted gramme balls), and Ellu Urundai (sesame seed balls) are making a big a comeback. Consumers, particularly millennials and Gen Z, are drawn to these products not only for their nostalgic value but also for their natural ingredients and traditional flavors. To preserve South India's rich culinary legacy and bring these traditional treats back to a younger audience, startups are utilizing digital marketing, e-commerce platforms, and sustainable packaging. This study looks at how these companies are influencing consumer preferences in the changing food industry, the effects of nostalgia marketing, and the difficulties of bringing discontinued products back to life.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nostalgia marketing, South Indian snacks, traditional candies, food startups.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Managing multiple insurance policies from various providers often leads to missed renewals and policy lapses due to the absence of a centralized tracking system. To address system, propose the Policy Renewal Reminder System (PRRS)--a user-centric platform that consolidates all insurance policies in one secure location. PRRS streamlines policy management by providing automated, time-based renewal alerts and integrated payment options, ensuring timely renewals and continuous coverage. Unlike fragmented insurer-specific reminders, PRRS reduces administrative burden and minimizes lapse risks. It enhances user convenience and supports insurers by improving customer retention. Future upgrades may include AI-driven predictive reminders and broader insurer integrations for improved personalization and interoperability. By simplifying insurance tracking and automating key processes, PRRS offers a comprehensive solution for seamless, reliable policy management.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

renewal system, automated notifications, tracking tools, payments, admin dashboard

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Herbal syrup is prepared by adding concentrated decoction of herbs with either honey or sugar and we also use alcohol. The herbal syrup is made by decoction process. Mixing a decoction of herbs with sugar it helps to the formulation for thicken and preserve the formulation1. Most of herbal syrup was originally derived from plant herbal medicine refers to use of extract of leaves, fruit for medicinal purpose. The anti-pyretic syrup is used for fever management, offering relief from high temperatures while addressing inflammation and oxidative damage. The extraction of Ivy Gourd, Ginger, Tulsi is used for medicinal purpose. In this Ivy Gourd used as anti-pyretic, Ginger as anti-inflammatory and Tulsi as anti-oxidant while Fennel used as flavoring agent and black pepper used as preservative. Three formulation viz. F1, F2 and F3 were prepared with variation in quantity of ingredient like sugar, black pepper and final volume of syrup. All prepared formulation was by parameters like density, specific gravity, organoleptic characteristics. The results shown that herbal syrup formulation number F3 is more stable and elegant as compared to other formulation.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal syrup, Ivy Gourd, Ginger, Tulsi, Fennel, Evaluation

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Creative Commons Attribution 4.0 and The Open Definition