Volume 12 | Issue 4

 Abstract

Efficient inventory management plays a crucial role in the success of businesses across various industries. By optimizing inventory levels and implementing effective strategies, organizations can achieve significant cost reductions, enhance customer satisfaction, and boost overall profitability. This project delves into the intricacies of inventory management, examining various techniques and approaches to optimize inventory levels and streamline inventory processes. The project commences with a comprehensive overview of inventory management, highlighting its significance and its impact on business operations. It then explores the fundamental principles of inventory management, encompassing demand forecasting, safety stock determination, and economic order quantity (EOQ) calculations. Additionally, it introduces various inventory management techniques, including just-in-time (JIT) inventory management and lean manufacturing principles. Keywords: Inventory management, inventory control, demand forecasting, safety stock, economic order quantity (EOQ), just-in-time (JIT), lean manufacturing, case study.

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 Keywords

Inventory management, inventory control, demand forecasting, safety stock, economic order quantity (EOQ), just-in-time (JIT), lean manufacturing,

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With the alarming rise in two-wheeler accidents, particularly due to non-compliance with helmet-wearing regulations, there's a pressing need for proactive safety measures. Despite government mandates, public adherence to helmet usage remains low, necessitating innovative solutions. This project aims to address this gap by developing a system that ensures helmet compliance and enhances rider safety before accidents occur. Unlike existing initiatives that focus on post-accident responses, our project prioritizes prevention by leveraging technology to enforce helmet wearing, thus mitigating the risk of severe injuries. By integrating real-time monitoring and communication capabilities, the system aims to foster a culture of proactive safety consciousness among riders, ultimately saving lives and reducing the burden of road accidents on society.

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Accidents, road safety, Smart Helmet system, proactive measures, technological innovation.

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Intellectual pretension is one of the worst features that one would come across in the educational institution and this defect in the educational system is ignored by the academicians and other officials. The novelist Prema Nandakumar in her novel Atom and the Serpent brings out the hypocrisy of academicians and the various ways in which both students and teachers are exploited. The paper aims at bringing out the unethical practices adopted by the teachers of higher educational institution and how they have neglected their duties towards students. The teachers who are responsible for the righteous behavior of the students are seen distracting and degrading their positions.

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 Keywords

Campus Fiction, educational system, intellectual pretension.

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This study investigates the challenges faced by Odia medium students transitioning to English medium instruction in higher education institutions within Khordha district, Odisha. Employing a cluster sampling method, data was collected through surveys administered to 160 students from 10 colleges, ensuring balanced representation across rural/urban areas, gender, and academic streams (science, arts, commerce). Simple percentage analysis revealed significant difficulties for Odia medium students adapting to English medium teaching. Rural students, in particular, faced greater obstacles. These findings highlight the need for targeted support mechanisms to bridge the linguistic gap and ensure equitable access to quality higher education for all students.

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: Odia medium, English medium instruction, higher education, challenges, rural-urban divide

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Big data analytics are utilized in various sectors to produce accurate forecasts and analyze massive volumes of data. They reveal essential facts in large collections. This article proposes a powerful Cloudera-Hadoop data pipeline for any amount or kind of data. US stocks are predicted daily using Yahoo Finance real-time data. Distributing storage and processing allows Apache Hadoop to manage enormous data collections. The Spark machine learning module uses the US stock market and determines which stocks have the most value each day by dividing their daily values into training and test data.

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 Keywords

ARIMA Model, LSTM Algorithm, K-means, recurrent neural networks (RNN).

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Shop Locator and Pre-order Platform revolutionizes the retail experience by seamlessly connecting users with nearby retailers for easy product pre-ordering. Harnessing advanced geolocation technology and user-friendly interfaces, the platform enables effortless store discovery, product browsing, and pre-ordering. For users, the platform provides a streamlined shopping experience, allowing them to locate nearby stores, explore available products, and conveniently pre-order items of their choice. This eliminates the hassle of physically visiting multiple stores or dealing with inventory shortages. Meanwhile, for retailers, the platform offers centralized dashboards for efficiently managing store information, inventory, and orders. By optimizing operations and expanding their reach, retailers can enhance their business efficiency and drive growth. Overall, this innovative solution enhances the retail experience for both users and retailers alike, promoting convenience, efficiency, and expansion in the retail industry.

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Keywords: Progressive Web App, Geo-location, Random Forest Model, Shop Data Analysis.

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 Abstract

Merger is the most common method employed by banks (or any other company) to enhance and maintain their market positions. The main objective of the paper is to examine the impact of the merger on the financial performance of SBI before and after the merger. The paper also compares the pre- and post-merger effects caused by its financial performance by the Camel approach. Secondary data is used in the paper covering the total period of eight years which includes four-year prior merger (2012-16) and four-year post-merger (2017-2021). The Camel analysis technique is used and a paired sample t-test has been conducted to check the statistical significance difference between before and after merger Camel ratios. The analysis shows that the financial performance of SBI increased after the merger and was positively impacted by merger activity.

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Merger, Financial Performance, Camel Analysis, T-Test

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DC-DC converters are essential to the use of elec- tric vehicles (EVs). These days, EVs need a different DC- DC converter to charge their high- and low-voltage batteries. The performance of EVs may be impacted by these variables, which have also increased output voltage ripples, switching, and device conduction losses. Furthermore, the prior multiport EV applications, converters feature a greater number of switching and energy storage components. This article suggests a multiport DC-DC converter EV charging circuit to address these problems. The suggested circuit is a single-input dual-output (SIDO) design that combines a buck converter integration with a positive output boost converter (POBCIBC). In this case, the voltage is stepped down using a buck converter and stepped up using a POBC. A basic structure made up of Cascaded Boost Super Lift Luo Converters is called the POBC. The POBCIBC design offers a number of benefits compared to the current multiport converters, such as less storage components, a compact construction, high- voltage transfer gain, proficient efficiency, decreased switching and conduction losses, and reduced output voltage ripples. By building the MATLAB/Simulpink and prototype models, the POBCIBC's performance is evaluated under various operating situations. Various output voltage levels have been created by the suggested converter according to variations in their duty cycles. The findings are displayed to demonstrate the EV application's proficient POBCIBC.

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 Keywords

DC-DC Converter, voltage gain,single input dual output

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 Abstract

This paper presents the development and implementation of an intelligent reader system designed to assist visually impaired individuals in accessing printed information. Leveraging Raspberry Pi technology and a push-button interface, the system integrates a high-resolution camera module for image capture, Optical Character Recognition (OCR) software for text extraction, and a text-to-speech engine for audio output. The system's functionality and performance were evaluated, demonstrating reliable image processing and speech synthesis capabilities. User feedback highlighted the system's intuitive design and potential for enhancing autonomy and participation in various contexts. Future developments aim to further improve accuracy and speed of text extraction, enhance speech synthesis quality, and incorporate advanced features such as real-time translation. Ethical considerations regarding privacy, data security, and inclusive design were carefully addressed throughout the project. Overall, the intelligent reader system represents a promising step towards creating a more accessible and inclusive environment for visually impaired individuals.

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 Keywords

Visually Impaired, Raspberry Pi, Intelligent Reader, Accessibility, Assistive Technology, Optical Character Recognition (OCR), Text-to-speech (TTS), Push button interface, Inclusive Design.

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In the novel, Martin Chuzzlewit, he exposes the human's true character that was blinded from the society. This novel actually displays the 19th century social background and human mindset towards money and power. In this novel, almost all the characters lower their ethical standard or moral standards at one point of their lifetime for whatever reason it might be.

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morality, money, human mindset, society

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This study investigates the performance and dynamics of mutual funds offered by Agile Capital Services. Mutual funds play a crucial role in investment portfolios, providing diversification and professional management to investors. Agile Capital Services, a prominent player in the financial services industry, offers a range of mutual fund products tailored to meet various investor needs.

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 Keywords

Investment, capital market, assets management, Dividend

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Introduction: The use of artificial intelligence (AI) and machine learning (ML) models has brought about a significant transformation in the way periodontists gather information, evaluate associated risks, develop different treatment alternatives, predict and diagnose dental conditions that threaten periodontal health. The main objective of this prospective study was to investigate how periodontists understand and accept the application of AI in periodontology. Materials and methods: This observational study was conducted on 273 participants grounded on questionnaire using Google Forms. These forms were pre-validated and latterly circulated among dental professionals (DP) and postgraduate students(PG's) via various social media platforms. The study comprised 15 closed-ended questions which were presented to the participants in English. These questions aimed to assess the awareness on operation of artificial intelligence in dental professionals and post-graduate students in the field of periodontology. To assay the collected data, experimenters employed the Statistical Package for Social Sciences (SPSS) version 28.0. Result: Almost all of the participants (93.0%) were aware of artificial intelligence (AI) and around 85% had an opinion that AI can simplify the effort of dental professionals. The responses of to the questionnaire are represented the table1. 44.7 % agreed that AI applications should be part of undergraduate and postgraduate dental training and 100% of them presumed that AI can aid patient management and dental assistance in the near future. Conclusion: Most dental professionals and post-graduate students had a reasonable level of understanding regarding the use of artificial intelligence in periodontics and expressed a desire to incorporate it into their periodontal disease diagnostic and treatment planning. Further efforts are needed to increase the awareness among dental professionals about the effective implementation of AI in their professional practice to facilitate individualized treatment planning for their respective patients. The integration of AI is expected to increase the likelihood of achieving favourable outcomes in DPs and PG's.

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 Keywords

questionnaire survey, prognosis, treatment planning, periodontist, artificial intelligence.

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 Abstract

Sleepy drivers, beware! This project tackles the growing concern of drowsy driving with the Intelligent Drowsiness Monitor (IDM). Using advanced sensors and AI, the IDM detects fatigue early and alerts drivers before their eyelids dip. Say goodbye to drowsy-induced accidents and hello to safer roads for everyone!

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 Keywords

Drowsiness Detection, Safe Driving, Intelligent Drowsiness Monitor (IDM), Fatigue Detection, Advanced Sensors, Artificial Intelligence (AI), Driver Safety, Road Safety, Sleepy Drivers, Accident Prevention

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 Abstract

This study investigates the performance and dynamics of mutual funds offered by Agile Capital Services. Mutual funds play a crucial role in investment portfolios, providing diversification and professional management to investors. Agile Capital Services, a prominent player in the financial services industry, offers a range of mutual fund products tailored to meet various investor needs.

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 Keywords

Investment, capital market, assets management, Dividend

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 Abstract

Forensic audit is defined as an investigation of evidence pertaining to a case to ascertain if it complies with predetermined standards, conducted in a way that is appropriate for the court. In his study, Cressy (2012) clarified that particular steps are taken in forensic auditing to generate evidence. Recent years have seen a number of banking collapses and scandals in India, jeopardizing the economy and shattering investor faith. There are several instances of banks failing as a result of money being siphoned off and diverted into dubious ventures that ultimately harm consumers and the banking sector. This paper aims in finding the significance of forensic audit in the banking sector by understanding the data from RBI annual reports.

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Keywords: Forensic Audit, Banking Sector, Economy, RBI Annual reports.

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This study delves into the complex interplay between gold prices and a multitude of macroeconomic factors in India, recognizing gold's pivotal role as both an asset class and a store of value in the nation's economic framework. Through a meticulous examination of historical data and the application of statistical and econometric methods, the research explores a broad spectrum of influences including inflation, interest rates, exchange rates, global economic conditions, stock market performance, monetary policies, government regulations, jewelry demand, crude oil prices, consumer confidence, and global gold market dynamics. The primary objective of the study is to unveil the intricate connections between these macroeconomic indicators and fluctuations in gold prices within the Indian context. In doing so, it offers invaluable insights tailored for investors navigating decision-making processes, policymakers shaping economic and monetary strategies, and businesses entrenched in the gold industry. Furthermore, the study recognizes the distinct impact of cultural events and traditions on driving gold demand in India, thereby adding a nuanced layer to the analysis of the Indian gold market. Specifically, it underscores the significance of comprehending how factors such as foreign exchange rates and inflation rates influence gold prices, with a dedicated focus on a decade-long dataset encompassing foreign exchange rates and crude oil prices. In summary, this research significantly enriches our understanding of the dynamics governing the Indian gold market and furnishes actionable insights crucial for stakeholders across various sectors within the industry.

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price of gold, Inflation, Currency Exchange Rates, Cultural Events

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Psychological well-being refers to an individual's total mental health and happiness, indicating a condition of positive emotional functioning, resilience, and a sense of fulfilment in life. It encompasses the personal perception of overall contentment, positive feelings, and successful adaptation to challenges. Psychological well-being plays a pivotal role in the academic performance of a student's career. Academic performance refers to the measurable results that reflect how an individual has successfully attained specific goals in educational settings, particularly in schools, colleges, and universities. This research aims to find out the relationship between Academic Performance and the Psychological Well-being of trainee teachers. In this research, the descriptive survey method was used to collect data. The Psychological Well-being Scale (PWBS-AA) developed by Anjum Ahmed (2021) was used to evaluate Psychological Well-being, and for academic performance, the previous year's mark sheet percentage was collected.Simple random sampling technique, the total data of 234 trainee teachers were collected from Aligarh Muslim University, Aligarh. This study used statistical mean, standard deviation, independent sample t-test and correlation coefficient to analyse the data. The results shows a significant difference in academic performance and psychological well-being of rural and urban trainee teachers, but no significant difference was found between male and female students. A significant correlation was found between academic performance and psychological well-being among Trainee teachers.

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Academic Performance, Psychological Well-being, Mental health, Well- being and Trainee teachers.

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This study explores the complex relationships that exist between internal and external auditors while attempting to protect financial integrity in businesses. In order to establish a climate of confidence and accountability in financial reporting, it compares and contrasts the unique roles and constraints of the two categories of auditors in identifying and discouraging financial irregularities. This study examines the roles, competencies, independence, and methods used by internal and external auditors through a thorough assessment of the body of literature and empirical research that includes surveys and interviews with seasoned audit professionals. Moreover, it delves into the obstacles faced and chances taken to facilitate cooperation among these auditors, thereby enhancing their efficiency in maintaining financial integrity.

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 Keywords

Auditors, Internal, external, financial, integrity

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A performance appraisal is a systematic evaluation of an employee's job performance, conducted by their manager or supervisor. It involves assessing various aspects such as productivity, quality of work, communication skills, teamwork, and adherence to company policies and values. The appraisal process typically includes setting clear objectives, collecting feedback from multiple sources, reviewing performance against predetermined criteria, and providing constructive feedback to help employees improve and grow professionally. The ultimate goal of performance appraisal is to enhance employee performance, foster career development, and contribute to the overall success of the organization.

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productivity, quality of work, communication skills, teamwork.

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 Abstract

The maintenance, rehabilitation and upgrading of structural members, is one of the most important (crucial) problems in civil engineering applications. A structure is designed for a specific period and depending on the nature of the structure, its design life varies. For domestic building, this design life could be twenty-five years, whereas for a public building it could be fifty years. Deterioration in concrete structures is a major challenge faced by the infrastructure and bridge industries worldwide. The deterioration can be mainly due to environmental effects. In these effects, corrosion of steel, gradual loss of strength with aging, repeated high intensity loading, variation in temperature, freeze and thaw cycles and contact with chemical & saline water. Since replacement of such deficient elements of structures will be costly, strengthening has become the acceptable way of improving their load carrying capacity and extending their service life. One of the challenges in strengthening of concrete structures is selection of a strengthening method that will enhance the strength and serviceability of the structure.

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Maintenance, Rehabilitation, Public Building.

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