Volume 13 | Issue 5 |

 Abstract

The integration of Electric Vehicles (EVs) as sustainable energy systems offers dual benefits of enhanced grid stability as well as optimized energy utilization. This research paper examines the bidirectional relationship between EVs and microgrids, focusing on charging strategies, grid impact analysis, and optimization techniques. This paper presents the design, implementation, and testing of a hardware prototype for integrating electric vehicles with microgrids using rooftop solar power. The proposed system utilizes a microcontroller-based control architecture with an inverter and step-up transformer to manage bidirectional power flow between EVs and the microgrid. The prototype demonstrates effective charging management, solar integration, and grid support capabilities through a Battery Management System (BMS) and bidirectional energy conversion. This study presents innovative solutions for seamless EV-microgrid integration while maintaining grid stability and maximizing renewable energy utilization. Experimental results show successful implementation of controlled charging strategies and solar power utilization, achieving improved grid stability and efficient energy management.

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 Keywords

Electric vehicle (EV), Vehicle to grid (V2G), Grid integration, grid stability, Grid to vehicle (G2V), Bidirectional Charging, Battery Management System (BMS)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The IEEE Transactions on Knowledge and Data Engineering is an interdisciplinary journal dedicated to research and advancements in knowledge and data engineering across computer science, artificial intelligence, and related fields. It features studies on expert systems, AI-driven data management, distributed databases, query languages, system architectures, performance algorithms, and real-time databases. The journal also emphasizes integrity, security, and fault tolerance in knowledge systems, with applications spanning diverse technological domains. It offers a platform for innovative approaches, fostering collaboration among academic and industry researchers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Knowledge Engineering, Data Engineering, Artificial Intelligence, Expert Systems, Data Management, Distributed databases, Query Languages, System architecture

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper explores the lived experiences, struggles, and triumphs of the Hijra community in India through the autobiographical narratives of A. Revathi and Laxmi Narayan Tripathi. These memoirs--The Truth About Me and Me Laxmi, Me Hijra--offer firsthand insights into the lives of individuals who identify outside the binary gender framework. Through their personal journeys, both authors address themes of gender identity, social exclusion, trauma, and empowerment. The study emphasizes the intersectionality of caste, gender, and socioeconomic status in shaping the marginalization experienced by Hijras and highlights their resistance through activism and self-representation in literature and public life.

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 Keywords

Hijra community, gender identity, social exclusion, autobiography, marginalization, activism, intersectionality, transgender rights, Indian society

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Stock market forecasting is a challenging task due to its volatile nature and dependence on multiple factors, including historical trends, economic indicators, and market sentiment. Traditional models, such as statistical and machine learning approaches, primarily focus on historical price data, often neglecting the crucial role of public sentiment in influencing stock prices. This research introduces a hybrid model that integrates Long Short-Term Memory (LSTM) neural networks with Natural Language Processing (NLP)-based sentiment analysis to enhance the accuracy of stock market predictions. The proposed framework collects historical stock prices from financial platforms and textual data from news articles, financial reports, and social media. Sentiment analysis is performed using NLP techniques such as VADER, Text Blob, and BERT to classify market sentiment as positive, neutral, or negative. These sentiment scores are then incorporated into an LSTM-based deep learning model, which processes both numerical stock data and qualitative sentiment trends to generate more reliable stock price forecasts. Experimental results demonstrate that integrating sentiment analysis improves the model's predictive accuracy by reducing Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) compared to standalone LSTM models. Additionally, a strong correlation is observed between public sentiment trends and stock price movements, confirming the significance of sentiment-aware forecasting in financial markets. This hybrid approach provides investors and financial analysts with a more comprehensive decision-making tool, allowing them to anticipate stock price fluctuations more effectively.

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 Keywords

Stock Market Predication, LSTM, ARIMA, Sentiment Analysis, Hybrid Model, Machine Learning, Natural Language Processing(NLP).

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Creative Commons Attribution 4.0 and The Open Definition

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The evolution of artificial intelligence has significantly transformed the education sector, ushering in the era of smart education systems. At the forefront of this transformation is generative AI, which has proven to be a powerful tool in automating and enhancing various aspects of teaching and learning. This study explores the integration of GROQ's Lemma API, large language models (LLMs), and natural language processing (NLP) into a smart education framework that dynamically supports the generation of educational content and assessments. By leveraging GROQ's Lemma API, which provides ultra-fast inference capabilities for LLMs, the application ensures real- time content generation with high efficiency. The integration of advanced NLP techniques allows the system to understand the semantic structure of input material and generate questions that test comprehension, critical thinking, and problem-solving skills. This leads to more interactive, engaging, and effective learning experiences. In conclusion, this research demonstrates how a smart education system powered by GROQ's Lemma and generative AI can redefine modern learning environments. By automating educational content generation, the system enhances productivity for educators, enables scalable personalized learning, and provides students with a more tailored and effective educational experience. This paves the way for the widespread adoption of intelligent educational technologies in schools, colleges, and online learning platforms worldwide.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

LLM(Large Language Model), BERT(Bidirectional Encoder Representation from Transformers), NLP

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Abstract: This research paper offers a comprehensive analysis of gender quotas in Indian politics, focusing on their role in enhancing women's political representation and participation. It explores the historical evolution of gender-based reservations, beginning with the 73rd and 74th Constitutional Amendments, which mandated one-third reservation for women in local governance, and culminating in the landmark 2023 Women's Reservation Bill. This bill, now a constitutional amendment, reserves one-third of seats in the Lok Sabha and state legislative assemblies for women, aiming to bridge the gender gap in political leadership. The paper evaluates the outcomes of existing quotas, highlighting successes such as increased female visibility and improved governance in local bodies. It also addresses persistent challenges, including delayed implementation, proxy representation, and the marginalization of lower caste women. A comparative lens is used to assess how India's approach aligns with international practices in countries like Rwanda and Sweden. The paper concludes with policy recommendations for ensuring that gender quotas not only increase numbers but also empower women substantively and inclusively in the political domain.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gender quotas, women's political representation, India, Women's Reservation Bill, political participation, comparative analysis etc.

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid progress in artificial intelligence (AI) and natural language processing (NLP) has made it possible to create intelligent chatbots that can offer medical aid. This paper discusses MedBot, an AI-based chatbot aimed at offering interactive medical science support. MedBot uses machine learning models, NLP methods, and an extensive medical knowledge base to provide accurate health information, offer preliminary diagnoses, and propose probable treatments. The chatbot seeks to improve patient interaction, decrease the workload of healthcare professionals, and offer affordable medical advice. This study addresses the system architecture, methodologies, implementation, and assessment of MedBot, with an emphasis on its efficacy in helping users with medical questions.

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence (AI), Natural Language Processing (NLP), Medical Chatbot, Healthcare Automation, Machine Learning, Symptom Analysis, Preliminary Diagnosis, Medical Assistance, Interactive Chatbot, Patient Engagement.

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Creative Commons Attribution 4.0 and The Open Definition

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Employee recognition is a vital aspects of human resources management, as it is significantly impacts employee motivation, job satisfaction, and productivity. This study aims to investigate the effectiveness of employee recognition programs in enhancing employee outcomes. Through a combination of primary data collected via surveys and interviews, and secondary data from organizational records, the study investigates how recognition programs are perceived by employees and whether they align with organizational goals. This study employs a descriptive research design. The sample size of 132 has been determined using morgan table. Tools used in this study Mann Whitney, correlation.

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Creative Commons Attribution 4.0 and The Open Definition

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Employee Recognition, Human Resources Management, Employee Motivations, Job Satisfactions, Productivity, Organizational Performance, Employee Engagement.

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Creative Commons Attribution 4.0 and The Open Definition

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Door Step Banking literally through Universal touch Point or the essential service by which customers can avail many of the banking transaction services through the Agent engaged by the Bank. This service is convenience and helpful to customers to get the benefit of different accounts from their Door Step. Doorstep Banking (DSB) Service is the process where the customers access the basic banking services like cash and cheque deposits or cash withdrawals from the comfort of their homes. Or the work places. Customers can also request for cash to be delivered to your home address against a self-drawn cheque, along with cheque pick-up services. Doorstep Banking Service is offered to senior citizens who are above 70 years old and to differently-abled customers. Dedicated Cash in Transit agent's deposits cash and cheques in your bank account on your behalf. Doorstep banking services applicable to all the individuals having full KYC-compliant savings/current account with a valid mobile number registered with their Bank. The service is not being available for accounts operated jointly, minor account and accounts of non-personal nature. Doorstep banking became utmost important during the period of lockdown where public transport, services which made it extremely difficult for the aged and disabled to reach out to bank branches to avail the services.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DSB services, KYC, public and private banks.

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Creative Commons Attribution 4.0 and The Open Definition

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The study reveals that safety concerns do not significantly impact farmers' attitudes towards crop insurance. Farmers with higher risk perceptions are more likely to have favourable attitudes towards crop insurance. Social influence may be significant, but not enough. Perceived behavioural control (PBC) does not significantly predict intention, with control beliefs like ease or difficulty not being significant. Farmers willing to pay show lower intention to insure, possibly due to affordability concerns or reverse causality. A positive attitude does not directly translate to intention. Farmers who intend to purchase crop insurance are more likely to follow through, indicating that behavioral intention precedes action

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Perceived behavioural control, Theory of Planned Behaviour , Social norms

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Creative Commons Attribution 4.0 and The Open Definition