International Journal of Engineering and Management Research
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Essence & Significance of Work Culture for Organisations in Indian Context – A Case Approach
Get PDFCulture signifies the way that a domain is managed. Be it an Organisation or be it personal character, all need to manage their respective Culture. The Work Culture at Organisations need to be managed essentially to get better productivity. Workplace culture is the collective personality of an organization, shaping the work environment and influencing employee interactions with tasks, colleagues, and clients. A positive culture fosters employee engagement, boosting productivity and creativity. This attempt in the form of a case approach is an exploratory study conducted with the help of massively secondary data and Primary Data in the form of Interview Method. The Authors have Interviewed Industry Representatives to collect the view points on the theme of the study and cited a Case of E Sreedharan as Insight from the Study. The Authors aim to study the Essence & Significance of Work Culture at Organizations. The Authors further aim to interpret the professional life experiences of E. Sreedharan, the Metro Man of India through selected projects undertaken by him that depicts the work culture across organisations. The study further aims to contribute a recommendary Model for Development of Work Culture at Organisations. Also the study has the potential to be a literature for further studies in this regard. The Authors have considered the Work Culture at Organisations at large rather any specific sector or any specific region for study. The Theme of the study may have various other elements associated. Hence this may be a limitation of the study as the inferences are indicative in nature rather exhaustive
Multiple Rice Leaf Disease Prediction for MO4 Rice Leaf Variety in Dakshina Kannada Using Deep Learning Technique
Get PDFRice serves as a staple food for millions worldwide, yet its productivity and quality are often compromised by diseases. This challenge is particularly evident in Dakshina Kannada, Karnataka, a region renowned for cultivating the MO4 rice variety. MO4 rice is especially susceptible to diseases like bacterial leaf blight, sheath blight, and neck blast, which can lead to significant crop losses if not addressed promptly. Early and accurate disease detection is critical for effective management strategies and ensuring agricultural sustainability.[3] To tackle this issue, we propose a deep learning-based system that leverages convolutional neural networks (CNNs) for the detection and classification of rice leaf diseases. Our study involved compiling an extensive and meticulously annotated dataset of MO4 rice leaf images, representing both healthy and diseased samples.
The CNN model was fine-tuned to achieve high accuracy, precision, recall, and F1 scores, demonstrating its effectiveness in disease detection. Rigorous testing under diverse conditions ensures the model\u27s robustness and suitability for real-world applications. This system offers a practical tool for farmers and agricultural officers, enabling early diagnosis and timely intervention. By facilitating proactive disease management, it helps reduce crop losses, improve productivity, and support sustainable agriculture. Our experimental results underscore the potential of this deep learning-based approach to revolutionize rice disease management, particularly in Dakshina Kannada. The proposed system contributes to the broader vision of intelligent agriculture, enhancing food security and empowering farmers with advanced technological tools.[1
Development of a Time-Cost Model for Construction Projects in Federal Polytechnic of Oil and Gas, Nigeria
No full textTertiary institutions in Nigeria are usually faced with the problem of completing building projects within the scheduled durations and budgeted costs. In this study, 8 building construction projects completed in the Federal Polytechnic of Oil and Gas were analysed between the years 2014 and 2023. A non-linear regression time-cost model was developed based on the Bromilow’s Time-Cost (BTC) model. The results show that it would take 1858.3 working days to complete the construction of a building in a Nigerian tertiary institution for every one million Australian Dollar. Predictions were made for construction durations and construction costs with the formulated model. The model was found to be adequate and fit, with an R2 value of 0.8218. This also indicates that the BTC model applies to tertiary institution building construction projects in Nigeria.  
The State of Income Tax on Rent in Zambia: The Way Forward
Get PDFThe aim of the study was to develop a framework of measures that could be employed by The Zambia Revenue Authority (ZRA) to increase revenue from house rentals. A qualitative phenomenological study involving ZRA staff was employed. Data was collected using in-depth interviews and future search conference techniques (presentations, discussions at plenary sessions and document review). Data was analysed using modified content analysis which has an extension of Katherine Charmaz’s Constructivist Grounded Theory. In this sense, the research focused on the meanings attributed by the participants to the research phenomenon and in this case Rental Income Tax. The main findings in this study are that the quantum of the tax that is remitted by the tax payer was based on a self-assessment estimate principle. ZRA did not assess property, not even the lease agreement to ensure that it received a commensurate quantum of the Tax. As from January 2022, the authority changed the Income Tax Rental (ITR) liability which initially was placed on the tenant to the landlord. The landlord as an income earner is now mandated to remit the rental tax as Rental Income Tax (RIT). There are several barriers that influenced tax compliance including the low tax knowledge by the citizenry, the perception of equity and fairness, low citizenry tax education, cultural factors where the citizenry are not committed to pay taxes, tax under-declaring and poor record keeping. Following a change in targeting tenants to landlords, the month-on-month income figures for the tax from the time it was changed, self-withholding tax in 2023 has increased. The study concludes that RIT is not being paid as expected because there are barriers on the tax payer’s and ZRA sides. There are a number of viable ways that have been proposed to break ground as far as reaching out to all landlords. This tax collection system should be imposed in general and evenly. This principle of justice must always be upheld and used as an absolute requirement for tax collectors to achieve prosperity in society
Hospital Management using Gin Framework
No full textThe ever-evolving landscape of healthcare necessitates the development of efficient Hospital Management Systems (HMS) to optimize operational workflows and facilitate superior patient care. This paper introduces the design and implementation of an HMS using the Gin Framework, a lightweight and versatile web framework tailored for the Go programming language. The proposed HMS encompasses essential modules, such as patient registration, appointment scheduling, electronic health records (EHR), inventory management, and billing. Leveraging the Gin Framework\u27s performance-oriented architecture, the system aims to streamline administrative processes, improve communication among healthcare professionals, and elevate the overall quality of healthcare services. The Gin Framework serves as the underpinning technology for the web application, offering a robust and scalable foundation. Through the utilization of RESTful API endpoints, the system ensures seamless integration with external services and devices, emphasizing interoperability and future scalability. Key functionalities of the HMS include user authentication, role-based access control, real-time updates, and a user-friendly interface. The implementation adheres to industry best practices, prioritizing security, data integrity, and compliance with healthcare standards. System evaluation involves comprehensive usability testing, performance analysis, and feedback solicitation from healthcare professionals and administrators. Results indicate that the HMS developed with the Gin Framework meets the requirements of a contemporary healthcare environment, delivering efficiency gains, improved data accuracy, and enhanced communication. In conclusion, this paper showcases the feasibility and efficacy of employing modern web frameworks, specifically the Gin Framework, to develop scalable and feature-rich healthcare management solutions. The proposed HMS contributes to ongoing efforts to enhance efficiency and quality in healthcare services, serving as a foundation for future advancements in hospital management technology
The Beard Culture: Analysing Youngster’s Preferences and Perceptions in Odisha
No full text"We never know who we\u27re influencing, when, or why. "not until the present gets consumed by the future." in the words of stephen king, "we realise when it\u27s too late."
"Today\u27s youth are not just following beard trends; they\u27re embodying a cultural shift towards masculinity and self-expression." - a book called "the beard trend phenomenon: understanding cultural influences on youth".
In this digital world, where you can get updates on every celebrity and role model you follow, trends can have a strong influence on your thoughts process, beliefs, and guide your behaviour according to it. Not only that, but recent trends have the power to influence our culture and societal norms as well, making it important to understand the physiology behind it.
This article discusses the preferences and perceptions of youth in odisha being motivated to grow beards and continuously tailor them according to trends. It lists every valid argument that could be influencing young people\u27s decision to join the beard craze. Starting with psychological elements, religious or even sports superstition, and the effect of top celebrities, everything is described in detail here
AI-Driven Solutions for IT Resource Management
No full textEffective resource management plays a vital role in such an efficient, cost-effective, and scalable infrastructure when most organizations depend on IT infrastructure. Classical approaches often break down in complex modern environments of IT. Artificial intelligence presents transformative abilities in the management of resources in IT by applying predictive analytics, automation, and optimization. This paper addresses the integrating theme of AI in IT resource management from methodologies to applications, technological frameworks, to ethical considerations. Deeper insight is provided to the AI-driven tools in resource allocation, predictive capability planning, and cost optimization on metrics and technical data. Challenges in privacy, scalability, and fairness are discussed, and future innovations comprise edge computing and self- governing IT systems
Ethical Frontiers in Artificial Intelligence: Navigating the Complexities of Bias, Privacy, and Accountability
Get PDFThe rapid advancement of artificial intelligence (AI) technologies has ushered in a new era of innovation and efficiency, but it has also raised profound ethical questions that challenge our existing frameworks and demand rigorous scrutiny. This paper explores the critical ethical issues that emerge from the integration of AI across various domains, focusing on bias and fairness, transparency and explainability, privacy, and accountability. We analyze landmark studies and recent cases that highlight the practical manifestations of these challenges, such as the discriminatory tendencies of facial recognition technologies, the opacity of deep learning models, and the privacy risks associated with large-scale data utilization. Drawing from a rich tapestry of interdisciplinary scholarship and case studies, we propose a set of guidelines aimed at fostering the ethical development and deployment of AI systems. By integrating theoretical frameworks and practical examples, this study not only maps the landscape of current ethical challenges but also offers forward-looking strategies to ensure that AI technologies enhance societal well-being without compromising moral values or individual rights
The Future of Software Development: Integrating AI and Machine Learning into the SDLC
Get PDFThe integration of AI and ML into the SDLC represents a groundbreaking advancement in software engineering. This paper explores the transformative effects of AI-driven automation on key stages of the SDLC, including code generation, testing, and deployment. It also examines architectural frameworks that support the effective integration of AI technologies, such as Microservices Architecture, Event-Driven Architecture, and Hybrid Cloud Architecture. By analyzing quantitative improvements and discussing future research directions, the paper provides a comprehensive overview of how AI and ML are shaping the future of software development
MQTT Protocol for Efficient AI Communication
Get PDFIn recent years, advancements in Internet of Things (IoT) and artificial intelligence have revolutionized various fields, including biometric authentication systems. This project focuses on integrating IoT with face recognition technology to create a robust and efficient authentication system. The proposed system leverages MQTT (Message Queuing Telemetry Transport), a lightweight messaging protocol ideal for IoT environments, to facilitate real-time communication between face recognition devices and centralized software.
The core of the system involves deploying face recognition devices equipped with cameras and processing units capable of capturing and analyzing facial features. These devices are subscribed to an MQTT broker, such as Mosquitto, enabling them to publish real-time data regarding recognized faces and authentication status. Simultaneously, a centralized software service, also subscribed to the MQTT broker, receives this data and provides a user interface for administrators to monitor and manage access control.
Key functionalities include face detection, feature extraction, and matching against a database of enrolled faces. MQTT ensures low latency and efficient data transmission, crucial for real-time applications. The software component integrates MQTT client libraries to seamlessly interface with the MQTT broker, facilitating bi-directional communication between devices and the central server.
The project aims to address security, scalability, and real-time performance challenges inherent in face recognition systems by harnessing the power of IoT and MQTT. By implementing this system, organizations can enhance security measures while simplifying access control processes through automated facial recognition technology