International Journal of Engineering and Management Research
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Machine Learning Algorithms: Optimizing Efficiency in AI Applications
No full textMachine learning (ML) is an AI technology that creates programs and data models that can perform tasks without being instructed. It has three major types: guided learning, uncontrolled learning, and reinforcement learning. ML is essential for big projects like real-time decision-making systems and self-driving cars, robots, and drones. It improves AI systems by making it easier to create models, work with data, and run algorithms. ML algorithms have different types of learning, require different amounts of data and training times, and can be improved by tuning hyperparameters. Techniques like feature selection, dimensionality reduction, model editing, and compression can improve performance and accuracy in various fields. In the real world, making AI apps more efficient can lead to more options, lower prices, and faster processing. Key techniques like model compression, transfer learning, and edge computing are needed to achieve these goals
Optimizing ETL Processes for Big Data Applications
No full textOptimizing large-scale data processing has become crucial in the area of data management due to the constantly growing quantity and complexity of data. Big data analysis involves gathering data in a variety of forms from several sources, cleaning it up, customizing it, and then importing it into a data warehouse. Transformation algorithms are needed to extract data in different forms and convert it to the necessary format. Software programs known as Extraction-Transformation-Loading (ETL) solutions are in charge of extracting data from several sources, cleaning it up, personalizing it, and then putting it into a data warehouse. First, we examine current systems for organizing information and evaluate their advantages and disadvantages in this research. We build a more effective, convenient, and user-friendly big data management platform to address the issues of not being too light, not being timely with data transfer, and not being innovative with data analysis. Because of these experiences, I have a unique perspective on the performance bottlenecks, scalability problems, and extended processing times that often afflict typical ETL operations in the financial services industry. The management of Extract, Transform, Load (ETL) procedures for massive data warehouses has become very difficult due to the growing amount and complexity of data in contemporary businesses. Several optimization methods and approaches for ETL procedures in expansive data warehouse settings are examined in this white paper. It talks about the frameworks, tools, and techniques for streamlining ETL processes, such as distributed computing, data splitting, and parallel processing. The study emphasizes the advantages of efficient ETL operations, including shortened processing times, increased scalability, and better operational efficiency, via an examination of implementation specifics and case studies. Organizations may overcome the drawbacks of conventional ETL operations and gain more agility and competitiveness in the present-day data-driven environment by using sophisticated optimization approaches
Analysis of the ATM\u27s Security and Privacy- Preserving Mechanism
No full textThrough a [2] variety of methods, such as encryption, monitoring, and authentication, the ATM privacy security system ensures the security and confidentiality of users\u27 financial and personal information during ATM transactions. The system makes an effort to thwart fraud attempts and unauthorised access by utilising such tactics. This all-encompassing security solution for ATMs is made especially to stop potential ATM theft and unauthorised access. Users who have registered an owner will receive an authorised acceptance message via a link on their registered phone number prior to being able to withdraw money; only the owner may do so. This system has an exclusive verification technique. The ATM room\u27s occupancy is continuously monitored by the system, which also includes an overcrowding control warning that activates with a sound when more than one person enters the space. Using a vibration sensor to operate as a theft detector, the device finds any suspicious activity in the ATM and promptly alerts the neighbouring station so that swift action can be taken. The maximum level of protection is offered to bank management and ATM users by the features of the ATM Privacy System
Evaluating the Impact of Microfinance on Household Welfare: An Empirical Study in Delhi
Get PDFMicrofinance institutions, through the availability of credit to low-income households, create opportunities for self-employment, facilitate the expansion of existing businesses, and positively impact their welfare levels. Many researchers support the view that access to microfinance loans considerably increases household consumption expenditure, while others argue that it has minimal or no impact on average household consumption levels. An attempt has been made in the present paper to study the impact of microfinance on the welfare of households in the context of MFIs in Delhi. The welfare is broadly measured through an increase in households\u27 (HHs) monthly per capita consumption expenditure (MPCE). Using the Logit regression model, an empirical analysis is carried out based on primary data collected from 368 households in Delhi Slums in 2016. The key findings reveal that access to MFI\u27s loans has a positive impact on the MPCE of its clients as an increase in the consumption expenditure after MFI’s loans is larger for HHs in the ‘treatment group’ as compared to those in the ‘control group’
Carbon Footprint and Sustainability: Assessment and Optimization in Urban Development
Get PDFAs urbanization accelerates globally, the environ- mental impact of cities has become a growing concern, particularly regarding their carbon emissions. This paper analyzes the carbon footprint associated with urban development, identifying key emission sources such as energy use, transportation, and construction. The study assesses current sustainability initiatives and highlights the potential for improvement through innovative strategies. By focusing on optimizing urban planning with low- carbon technologies, the research offers practical solutions to reduce emissions without hindering urban growth. The findings emphasize the importance of integrating green infrastructure and effective policies to achieve a balance between urban expansion and environmental sustainability
An Evaluation of Solar Photovoltaic System Depreciation Using PVSOL
Get PDFThis study provides a thorough examination of the design approaches for solar photovoltaic (PV) systems, utilizing the PVSOL software. Given the growing need for renewable energy sources, it is crucial to optimize solar PV installations. An in-depth analysis was conducted to determine the factors that influence the system\u27s performance. These factors include the geographical location, shading effects, and module configurations. PVSOL is used to conduct a thorough analysis of these elements in order to assess their influence on the system\u27s efficiency and amount of energy it produces. The study incorporates both theoretical analysis and practical simulations to offer significant insights into the design process. The results highlight the importance of meticulous design considerations in optimizing energy generation and system performance. This research enhances the development of solar PV technology by providing valuable information on the most effective ways to design optimal systems. This, in turn, helps to promote the shift towards sustainable energy alternatives
Electric Vehicle Battery Condition Monitoring System
Get PDFMost vital and expensive components of electric vehicles is the battery. Of course, the battery is the only source of electricity for an electric vehicle. However, the vehicle\u27s power supply eventually declines, resulting in decreased performance. For battery manufacturers, this is a major concern. In this paper, it is proposed to use IoT approaches to monitor and display the battery performance.
Here, the various battery metrics, including voltage, current, and temperature, are tracked, observed, and shown. This alerts the user to prevent the battery from being overcharged or deeply discharged. With the application of various sensors, observation can be carried out. Data on voltage, current, and temperature are sent to a microcontroller unit, which subsequently transmits battery data via the cloud for display. Real-time data of voltage, current, and temperature may be displayed by the monitoring system, and the data can be seen on an Android smartphone and a computer at the same time. As a result, we might be able to increase the battery\u27s efficiency and lifespan. The user interface and results presentation are the two main components of the proposed IoT-based battery monitoring system. According to test results, the system is able to recognize weakened performance of the battery and notifies the user for further use
Impact of Ageism on the Social Wellbeing of Older Adults: Evidence from a Geriatric Home in Lagos, Nigeria
Get PDFThe paper examined the impact of ageism on social wellbeing of older adults. The main objective of the study is to evaluate the impact of ageism on the social wellbeing of older adults. These includes the impact of ageism on social connection, social support and on their social inclusion. Ageism is a very serious issue as it shown in terms of positive stereotypes or attitudes; it is most closely associated with negative stereotypes or attitudes. The study used mixed research method to analyse the opinion of participants. The data collected through structured questionnaire and interview guide were analysed with descriptive and Focus Group Discussion (FGD). The study concluded that there is significant impact of ageism on social wellbeing of older person in the society as ageism affect their social connection, support and exclusion with younger generation. Furthermore, the result to a very negative stereotype in the social connection, support and exclusion older person faces in the society. Some of these discriminations are imposed by the younger generation who feel that older adults in the society are less important and difficult to relate with. Some attitude and perceptions portrays by younger generation against older persons are offensive and discriminative. The study recommended that public education, creating opportunities for older and younger people to interact advocate for stricter policies that protect older adults from age-based discrimination in all social settings, including workplaces and public services will help to reduce the discrimination that exist in the society
Digitalisation for Inclusive Growth in India
Get PDFIndia\u27s rapid digitalization has the potential to unlock new avenues for inclusive growth, empowering marginalized communities and bridging the digital divide. This paper explores the role of digitalization in fostering inclusive growth in India, highlighting the key initiatives, challenges, and strategies for ensuring that the benefits of digital transformation reach all segments of the population. The paper examines the impact of digitalization on financial inclusion, access to healthcare and education, and the creation of employment opportunities. It also discusses the policy and regulatory frameworks necessary to create an enabling environment for inclusive digitalization, as well as the importance of digital literacy and skills development. The study proposes a multifaceted approach involving government initiatives, private sector partnerships, and community-driven interventions to harness the full potential of digitalization for inclusive growth in India. Key strategies include strengthening digital infrastructure and connectivity, promoting digital literacy and skills development, expanding digital financial inclusion, leveraging digital technologies in healthcare and education, fostering digital entrepreneurship and employment opportunities, and strengthening policy and regulatory frameworks
Smart MPPT Solar Monitoring & Load Balancing
Get PDFNowadays the most advance solar charge controller available in the market is Maximum Power Point Tracking (MPPT). The MPPT controller is more sophisticated and more expensive. It has several advantages over the earlier charge controller. It is 30 to 40 % more efficient at low temperatures. But making an MPPT charge controller is little bit complex in comparison to the PWM charge controller.
This paper presents design, analysis of MPPT charge controller for improving efficiency of the system using Atmega328p