Volume 13 | Issue 6 |

 Abstract

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Sentiment Analysis, Machine Learning, Organization Ranking, Natural Language Processing, Reputation Management, Text Classification.

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Creative Commons Attribution 4.0 and The Open Definition

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In the cloud, the information is exchanged among the server and customer. Cloud security is the present exchange in the IT world. This review paper helps in anchoring the information without influencing the system layers and shielding the information from unapproved sections into the server, the information is anchored in server dependent on clients' decision of security strategy so information is given high secure need. Usually cloud computing services are delivered by a third party provider who owns the infrastructure. It advantages to mention but a few include scalability, resilience, flexibility, efficiency and outsourcing non-core activities. Cloud computing offers an innovative business model for organizations to adopt IT services without upfront investment. Despite the potential gains achieved from the cloud computing, the organizations are slow in accepting it due to security issues and challenges associated with it. Security is one of the major issues which hamper the growth of cloud. In this Cloud processing innovation there are a gathering of critical strategy issues, which incorporate a few issues of protection, security, namelessness, media communications limit, government observation, unwavering quality, and risk, look at among others. So the most imperative between them is security insurance and how cloud supplier guarantees it.

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Creative Commons Attribution 4.0 and The Open Definition

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Cloud, Security, Secure data Transmission, privacy.

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Creative Commons Attribution 4.0 and The Open Definition

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Corporate Governance (CG) has emerged as a critical determinant of sustainable corporate success and investor confidence globally. In India, following significant corporate scandals and regulatory reforms, the relationship between CG practices and firm performance has gained intense scrutiny. This research paper empirically investigates this relationship within the context of publicly listed companies on major Indian stock exchanges (BSE, NSE). Utilizing a mixed-methods approach, the study analyzes panel data for a sample of 250 non-financial NSE-listed companies over a five-year period (FY2019 to FY2023). CG is measured through a comprehensive index incorporating board characteristics (size, independence, diversity, meeting frequency, committees), audit quality (Big 4 affiliation, audit fees), ownership structure (promoter holding, institutional ownership, foreign ownership), and disclosure practices. Firm performance is captured using both accounting-based measures (Return on Assets - ROA, Return on Equity - ROE) and market-based measures (Tobin's Q, Market-to-Book Value Ratio - MTB). Control variables include firm size, leverage, age, and industry. Regression analysis reveals a statistically significant positive relationship between robust CG practices and superior firm performance across both accounting and market metrics. Key findings indicate that board independence, gender diversity, active audit committees, higher institutional ownership, and enhanced disclosure quality are particularly strong positive drivers. However, the study also identifies the persistent challenge of high promoter ownership concentration in India, which exhibits a complex, non-linear relationship with performance, suggesting potential entrenchment effects beyond certain thresholds. The paper discusses the implications of these findings for regulators (SEBI), company boards, investors, and policymakers, emphasizing the need for continued strengthening of CG frameworks, effective enforcement, and fostering a genuine culture of governance beyond mere compliance. Recommendations include enhancing board effectiveness, promoting shareholder activism, and leveraging technology for better monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Corporate Governance, Firm Performance, India, Board of Directors, Ownership Structure, Disclosure, SEBI, Listing Obligations and Disclosure Requirements (LODR), Promoter Holding, Institutional Investors, Board Diversity, Audit Committee, Tobin's Q, ROA, ROE, Panel Data Regression

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This research paper presents a comprehensive study on a power consumption monitoring system designed to optimize energy efficiency. The system effectively monitors and analyzes energy usage patterns across multiple devices, providing valuable insights for energy conservation. The study highlights the system's benefits, including increased efficiency, cost savings, and reduced energy consumption. However, it also identifies limitations, such as potential data transmission delays and compatibility issues with certain devices. To address these challenges, the paper proposes future improvements, including the integration of advanced data analytics and machine learning algorithms to predict energy consumption patterns. The findings of this study have significant implications for industries seeking to reduce their energy footprint and promote sustainable practices.

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Creative Commons Attribution 4.0 and The Open Definition

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RTU (Remote Terminal Unit) ,TCP (Transmission Control Protocol)

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Creative Commons Attribution 4.0 and The Open Definition

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The research paper will explore the multiple impacts of globalisation on the IT Sector in India. The paper will highlight the effects of economic integration on global economic growth in one of the most dynamic industries in the developing world. The study will investigate how employment patterns, technological advancements and the rise of India as a global hub for IT services are influenced by analysing the key reforms, liberalisation of the Indian economy, science 1990s economic reforms, and institutional support. This paper will examine the role of international partnership, trends in outsourcing, innovations in domestic policy innovations in developing the competitiveness of IT firms globally by using qualitative and quantitative data. Alongside the significant economic gains and employment opportunities, the paper also addresses the challenges of skill mismatch, over-dependence on foreign markets, regional and ethical disparities. Through a focus case study of India, this research paper will analyse how globalisation leverages the developing economies to encourage growth and innovation in knowledge-based sectors, along with navigating the socio-economic risks involved. The significance of the adaptive policy framework and institutional resilience in maximising the benefits of globalisation in the digital world will be included in the findings.

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Creative Commons Attribution 4.0 and The Open Definition

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Globalisation, Indian IT sector, economic liberalisation, institutional reforms, outsourcing, employment trends, technological innovation, developing economies

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Creative Commons Attribution 4.0 and The Open Definition

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This project focuses on building a robotic arm that uses air-powered (pneumatic) cylinders to move, similar to how a human arm works. It can lift, rotate, and place objects with several different types of movement. Pneumatic actuators were chosen because they're simple, affordable, and powerful for their size.The arm is controlled by solenoid valves and a microcontroller, which allow for quick and adjustable movements. One of the key benefits of using air-powered systems is that they work cleanly and respond quickly, making them ideal for automation. However, there are some challenges, such as the complexity of controlling air pressure and the need for a constant supply of compressed air.This kind of robotic arm is useful in areas like factory automation, material handling, and educational demonstrations. Overall, the project shows that pneumatic robotic arms can be a good alternative to electric ones, especially for fast and repetitive tasks that don't require extreme precision.

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Creative Commons Attribution 4.0 and The Open Definition

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Pneumatic actuator, Robotic arm, Automation, Industrial robotics, Solenoid valves, Compressed air, Microcontroller, Mechatronics, Motion control, Material handling.

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Creative Commons Attribution 4.0 and The Open Definition

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The "Farming Robot with Plant Health Indication" project introduces a next-generation farming assistant that blends robotics, AI, and IoT to support smarter agriculture. Designed for mobility and precision, the robot is built on a compact acrylic frame and powered by 18650 battery cells, with a custom-designed PCB ensuring stable power management. At the heart of the system lies a Raspberry Pi Pico W, steering the robot via an L298N motor driver and coordinating various sensor inputs. To monitor field conditions, the robot is equipped with soil moisture and temperature sensors, alongside an ESP32-CAM that captures live visuals of plants. These visuals and sensor readings are sent in real time to Firebase Realtime Database and Cloud Storage. The companion Android app accesses this data and employs machine learning models to evaluate plant health, identify early signs of disease, and provide timely suggestions for corrective action.

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Creative Commons Attribution 4.0 and The Open Definition

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Farming Robot, Plant Health Indication, Raspberry Pi Pico W, ESP32-CAM, L298N Motor Driver, Android App

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Creative Commons Attribution 4.0 and The Open Definition

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In order to handle both techno-economic and environmental factors, this study presents an innovative energy management algorithm for a hybrid solar and fuel cell-based electric vehicle charging station (EVCS). In order to optimize real-time charging prices and improve renewable energy consumption, the current approach, which is intended for a 20- kW EVCS, makes use of a fuzzy inference system within MATLAB SIMULINK to manage power generation, electric vehicle (EV) power demand, and charging periods. Nevertheless, production instability could be a problem for this strategy. By replacing the fuzzy controller with an artificial neural network (ANN) controller, the suggested approach resolves this problem. Findings show that, in comparison to current flat rate tariffs, the ANN-based algorithm not only offers more steady outputs but also lowers energy costs, making it more affordable to charge for both weekdays and weekends. Furthermore, integrating renewable energy sources with hybrid technology greatly reduces greenhouse gas emissions. Due to the charging station owners' comparatively short payback periods, the idea is both environmentally friendly and financially feasible.

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Modified PR controller, Dual Mode Operation, Power Quality, ANN, Micro grid.

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Creative Commons Attribution 4.0 and The Open Definition

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Michael Madhusudan Dutt is a luminous figure in the firmament of Bengali literature. His notable creation, 'Meghnadbadh Kavya', was composed in 1861. The work is regarded as an epic. Although inspired by the narrative of the Sanskrit epic 'Ramayana' by Valmiki, its perspective is entirely unconventional. In a radical shift, the protagonist of this epic is Meghnad, the son of Ravana. The central theme of the poem revolves around Meghnad being treacherously slain by Lakshmana while he is unarmed and performing a yajna at Nikumbhila Yanjagar. Over time, 'Meghnadbadh Kavya' has been adapted into theatrical performances in various forms. Renowned theatre personality Gautam Halder has brought a novel approach to the stage adaptation of this epic. In his production, he performed solo, assuming the dual role of actor and narrator. Through a seamless blend of acting, music, dance, and instrumental accompaniment, he created a unique atmosphere on stage. Choreography emerged as a vital component of this production. The primary objective of this research paper is to examine how choreography has been employed in the staging of 'Meghnadbadh Kavya' and how it functions as a bridge between the director, the performer, and the audience.

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Choreography, Michael Madhusudan Dutt, Meghnadbadh Kavya

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Creative Commons Attribution 4.0 and The Open Definition

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Water is the most crucial resource of life and it is necessary for the survival of all living creatures including human beings. The survival of business and agriculture depends on fresh water. An essential step in managing freshwater assets is the evaluation of the quality of the water. Before using water for anything, including drinking, chemical spraying (pesticides, etc.),or animal hydration , it is crucial to assess its purity. The ecosystem and the general public's health are directly impacted by water quality. Therefore, analyzing and predicting water quality is necessary for both environment and human protection. Machine learning can be used to analyze and predict the water quality based on the parameters like PH value, turbidity, hardness, conductivity, dissolved solids in water and others parameters as input to machine learning algorithms and the water is classified as safe or unsafe for the usage of domestic purposes. The Flask applications predicts water quality safety using an XG Boost classifier trained on a dataset (waterQuality1.csv). The dataset undergoes preprocessing where missing values are dropped and object type columns are converted to numeric types. Categorical target variables are encoded for machine learning compatibility. The model is trained on the processed data, evaluated for accuracy, and then used to predict the safest status ("Safe" or "Not Safe")based on user-inputted water quality parameters. Predicted results are displayed ton users on a web page rendered using Flask (predictdailyhousehold.html).The proposed work uses various ML models such as Logistic Regression, Support Vector Machine (SVM), XG Boost(XG) and Random Forest(RF) to classify whether the water is drinkable. The XG boost classifier is selected for the explanation and yields optimum Accuracy and F1-Score of 0.98, with Precision and Re-call of 0.97 and 0.99 respectively. This work is an emerging research at present with a vision of addressing the water quality for the future as well.

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Creative Commons Attribution 4.0 and The Open Definition

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XG Boost classifier, Support Vector Machine (SVM), Logistic Regression, Random Forest, Robust Scaler, Exploratory Data Analysis

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Creative Commons Attribution 4.0 and The Open Definition