Volume 13 | Issue 4 |

 Abstract

Voltage sags are among the most frequent power quality disturbances in electrical distribution systems, often caused by short-circuit faults, equipment switching, or load variations. These sags can lead to substantial operational disruptions, particularly in industries with sensitive electronic equipment, and result in economic losses due to downtime, equipment malfunction, and data corruption. Mitigating voltage sags is thus essential to ensure the reliability and stability of power systems, especially in critical sectors such as manufacturing, healthcare, and data centers.This paper presents an in-depth analysis of the Dynamic Voltage Restorer (DVR) as an effective solution for voltage sag mitigation and overall power quality enhancement. The DVR is a power electronic device that operates by injecting a compensating voltage into the system during a sag event, thereby restoring the voltage to its nominal level within milliseconds. The system's architecture, which includes an energy storage device (such as a capacitor or battery) and a voltage-source converter, ensures fast response times and minimal interruption to sensitive loads.

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 Keywords

Dynamic Voltage Restorer (DVR), voltage sag mitigation, power quality improvement, control strategies, smart grids, energy storage, voltage-source converter, predictive control, industrial power systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project focuses on the design and implementation of an advanced control strategy for electric vehicles (EVs) using a Permanent Magnet Synchronous Motor (PMSM) drive system. PMSMs are widely preferred in modern EVs due to their high efficiency, power density, and precise torque control capabilities. The proposed control architecture integrates Field-Oriented Control (FOC) for dynamic performance enhancement, ensuring efficient speed and torque response under varying load conditions. The system also incorporates regenerative braking and battery management considerations to optimize energy usage. MATLAB/Simulink simulations validate the effectiveness of the controller, demonstrating fast transient response, high efficiency, and robustness to parameter variations. This work contributes to the development of reliable and energy-efficient EV propulsion systems, supporting the transition toward sustainable transportation

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ELECTRIC VEHICLE CONTROL USING PMSM DRIVE,PULIVENDULAKADAPADISTRICT, ANDHRA PRADESH

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT Purpose - This research paper is intended to analyze employee's perceptions about social media usage in job search and to identify the differences in their perceptions based on demographic and social media usage related variables. Methodology- For the purpose of this study, a sample of 514 employees of IT firms from South Region was collected to know their opinions about social media usage in job search. A self administered questionnaire including Five-point Likert type numerical scale ranging from Strongly Disagree to Strongly Agree was used. In order to know the differences in employees' perceptions, independent samples t- test and One Way ANOVA was applied. Findings - The research outcomes indicated that a majority of the employees were agreed about social media being an effective tool for job search. Thus the results of the present study support that social media is an effective tool for job search from employees' perspective. However, a significant difference was found in employees' perceptions about the effectiveness of social media based on age, level of employment, no. of years of social media usage, and time spent, while gender is found to have no impact on their perceptions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

social media in recruitment, effectiveness of social media, effective job search

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

- Railway level crossings are critical points where road traffic intersects with railway tracks, often leading to accidents due to human error or malfunctioning systems. This review paper explores existing technologies and approaches for enhancing safety at these crossings, focusing on automated systems for real-time obstacle detection and gate management. Various sensor-based solutions, including infrared, ultrasonic, and image processing techniques, are examined for their effectiveness in detecting obstacles such as vehicles, pedestrians, or debris. These systems aim to alert both road users and trains through alarms, flashing lights, and barrier controls to prevent collisions. Additionally, the review discusses automation of level crossing gates using GPS or track-based sensors to open and close gates without human intervention. Such automation reduces reliance on manual operations and minimizes the risk of errors, improving overall safety. The paper highlights the potential for integrating these systems into existing infrastructure, offering a cost-effective approach to modernizing railway crossings. Through the review of current technologies and studies, this paper aims to provide insights into the future development of automated, real-time safety systems at railway intersections.

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Safety system, Level crossing system, Real-time Obstacle Detection, train

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents the development of CreativeNexusAI, a novel platform for multimodal content generation powered by Large Language Models (LLMs). The project aimed to integrate theoretical knowledge with practical application, focusing on the deployment, scalability, and optimization of LLMs. The methodology involved a phased approach, starting with foundational research on LLM architectures like BERT and GPT, progressing to practical implementations with tokenization, vector databases, and Retrieval-Augmented Generation (RAG). We utilized Google Gemini and Hugging Face APIs for text, image, video, and meme generation, integrated within a modular architecture using FastAPI and MongoDB. Results demonstrate the platform's capability to generate context-aware, high-quality content across various media types, with preliminary user testing (n=30) showing 89% satisfaction with blog content quality and 83% with image-text coherence. Response times averaged 3.4 seconds for text generation and 4.8 seconds for image creation, demonstrating the system's efficiency. This research contributes to the field by providing a practical demonstration of how advanced AI techniques can be applied to real-world content creation, offering insights into the scalability and efficiency of LLM-driven platforms.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Content generation, Large Language Models, Multimodal AI, CreativeNexusAI, Natural Language Processing, Vector Databases, Retrieval-Augmented Generation

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Creative Commons Attribution 4.0 and The Open Definition

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Harpreet Kaur Research Scholar, Faculty of Nursing, DBU, Mandi Gobindgarh, Punjab Sukhmanpreet Kaur Associate Professor, Faculty of Nursing, DBU, Mandi Gobindgarh, Punjab ABSTRACT: Background-Critical care nurses are playing an essential role in care of patients of intensive care units. They are frequently involved in taking ABG but for analyzing the report they regularly dependent on doctors. They need to be aware regarding the Interpretation. Objective-To assess the knowledge of critical care nurses regarding ABG Procedure and ABG analysis interpretation. Material and Method-A descriptive design was conceded for the present study. Total 200 Critical care nurses were working different critical care units were enrolled. Non randomized convenient sampling technique was used. A pre validated self-structured questionnaire including of 10 questions related to knowledge about the ABG procedure and 20 ABG analysis interpretations was developed and administered to assess the knowledge of critical care nurses. Results- The majority of the Critical Care Nurses are between 20-30 years i.e. 74%, the next main group is 31-40 i.e.91% of the critical were nurses are female (61% of the working were GNM, 27% were B.Sc. and 9% were P.B.BSc and 3% were M.Sc. Nursing A significant majority have 0-5 year experience 84%- 59% of them had knowledge about Allen Test. 70% of critical care nurses correctly knew about pH normal range 38 percent knew about respiratory acidosis and only 20% nurses were able to solve the equation of ABG interpretation. According to category the Good, Average and poor. The majority of participants (88%) score in the "Poor" category range i.e. (0-49), with 10% scoring in the "Average" range i.e. (50-79) and only 2% achieving a "Good" range score i.e. (80-100) This indicates that critical care nurses have lower knowledge of ABG analysis interpretation. Conclusion-Critical care had gap in ABG procedure and ABG Analysis interpretation knowledge. They need to be taught regarding ABG procedure and ABG Analysis interpretation.

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Key Words -Critical care nurses, ABG Analysis interpretation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Six distinct colonies were isolated from the intestine of Mickey Mouse molly Xiphophorus maculatus through serial dilution, pour plate, spread plate and streak plate methods. Based on the biochemical tests, the isolated bacteria were S1 (Leuconostoc sp.,) S2 (Bacillus sp.,) S3 (Lactobacillus sp.,) S4 (Paracoccus sp.,) S5 (Lactobacillus sp.,) and S6 (Bacillus sp.). Enzymatic productivity (Amylase, Protease and Lipase) of the isolated bacteria were carried out. Mass multiplication of Leuconostoc sp., Bacillus sp., Lactobacillus sp., Paracoccus sp., Lactobacillus sp., Bacillus sp., was done in nutrient broth. Antibacterial activity of the intestinal bacteria of Mickey Mouse Molly was carried out with the help of selective media along with a commercial antibiotic (Streptomycin).Five different feeds having different bacteria such as control ( without bacteria) Feed I(1ml of Bacillus sp), Feed II (1 ml of each Bacillus sp., and Lactobacillus sp.,), Feed III (Bacillus sp., Lactobacillus sp., Paracoccus sp.,), Feed IV (1 ml of each Bacillus sp., Lactobacillus sp., and Paracoccus sp.,)Feed V (1ml of each Bacillus sp., Lactobacillus sp., Paracoccus sp., and Leuconastoc sp.,) were prepared. Feed utilisation parameters of Mickey Mouse Molly were estimated after 21 days. Based on the antibacterial test, the Bacillus sp., Lactobacillus sp., Paracoccus sp., and Leuconostoc sp. have higher inhibition. The feed consumption, feed conversion efficiency and growth, assimilation, metabolism Gross and net growth efficiency were higher in Feed V.

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 Keywords

Intestinal bacteria, biochemical, antibacterial, growth, Micky mouse molly

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mahilao ka sashkt evam atamnirbharta mein gramin mahila vikas yojana ka mahtav ek adhyayan

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Creative Commons Attribution 4.0 and The Open Definition

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Mahilao ka sashkt evam atamnirbharta mein gramin mahila vikas yojana ka mahtav ek adhyayan

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Creative Commons Attribution 4.0 and The Open Definition

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This study aims to benchmark the financial performance of two major players in the Indian power sector Tata Power Limited and Adani Power Limited using key financial analysis over a year. The power sector in India plays a vital role in economic development and understanding the financial health of its leading companies is essential for investors, stakeholders and policymakers. The research employs a comparative analytical methodology focusing on various financial parameters. Analysis is used to examine the growth patterns and performance consistency of both companies.The findings reveal significant differences in financial strategies and risk management approaches adopted by Tata Power and Adani Power. While one company demonstrates stability and consistent returns, the other reflects aggressive expansion backed by higher leverage. This benchmarking offers a clear picture of each company's financial strengths and vulnerabilities, thus helping in informed decision-making for stakeholders.The study concludes with key insights and suggestions to enhance financial performance and maintain sustainable growth in a competitive and evolving energy market.

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 Keywords

Tata Power, Adani Power, Financial Performance, Ratio Analysis, Trend Analysis

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Creative Commons Attribution 4.0 and The Open Definition

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Aim and Objective: To assess the knowledge regarding teenage pregnancy among adolescent girls in selected school, Coimbatore. Materials and Methods: A descriptive study was adopted to assess the knowledge among adolescent (13-17 years) school students (40 Samples) studying in 9th standard in school at Ashokapuram Village, Coimbatore who filled the inclusion and exclusion criteria. Convenient purposive sampling technique used to select the samples. Tool was prepared and validity of the tool was obtained from Subject experts. Descriptive and inferential statistics was administered to assess the knowledge among adolescent (13-17 years) school students. Results: The study finding revealed that among 40 samples, majority of the adolescent 36 (90%) are in the age group 16-17, 4 (10%) are in the age group of 13-15 years. Conclusion: The study results revealed that most of the adolescent girls possess a basic understanding of teenage pregnancy, there remain sufficient significant gaps in knowledge regarding its causes, consequences and method of prevention

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Teenage, Pregnancy, adolescent.

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Creative Commons Attribution 4.0 and The Open Definition