Deep Dave

This abstract outlines the pivotal role of edge computing and the Internet of Things (IoT) in revolutionizing modern manufacturing. By facilitating real-time data processing, predictive maintenance, and quality control, these technologies enhance operational efficiency and responsiveness. Integration with IoT devices enables seamless data exchange, empowering manufacturers to optimize processes and adapt to market dynamics. This abstract encapsulates the transformative potential of edge… Show more

This abstract outlines the pivotal role of edge computing and the Internet of Things (IoT) in revolutionizing modern manufacturing. By facilitating real-time data processing, predictive maintenance, and quality control, these technologies enhance operational efficiency and responsiveness. Integration with IoT devices enables seamless data exchange, empowering manufacturers to optimize processes and adapt to market dynamics. This abstract encapsulates the transformative potential of edge computing and IoT in shaping the future of manufacturing. Show less

This paper explores the evolving landscape of patient engagement in healthcare, emphasizing the pivotal role of artificial intelligence (AI). It delves into the historical context of patient-provider dynamics, shifting from a predominantly authoritative approach to a more collaborative and tech-driven model. The paper highlights the impact of digital technologies like health apps, AI-driven chatbots, and virtual health assistants in personalizing patient education, improving treatment… Show more

This paper explores the evolving landscape of patient engagement in healthcare, emphasizing the pivotal role of artificial intelligence (AI). It delves into the historical context of patient-provider dynamics, shifting from a predominantly authoritative approach to a more collaborative and tech-driven model. The paper highlights the impact of digital technologies like health apps, AI-driven chatbots, and virtual health assistants in personalizing patient education, improving treatment adherence, and enhancing overall patient care. Additionally, it examines various applications of AI in healthcare, from diagnostics to personalized treatment and administrative efficiency, underscoring the potential of AI to revolutionize healthcare delivery and patient engagement. Show less

The Internet of Things (IoT) has emerged as a transformative force in the digital era, interconnecting an ever-growing number of devices and systems. This paper explores the multifaceted challenges and innovative strategies in the realm of IoT data integration and interoperability. It delves into the technological hurdles, such as the heterogeneity of devices and standards, security and privacy concerns, scalability issues, and the pressing need for standardization and regulatory frameworks… Show more

The Internet of Things (IoT) has emerged as a transformative force in the digital era, interconnecting an ever-growing number of devices and systems. This paper explores the multifaceted challenges and innovative strategies in the realm of IoT data integration and interoperability. It delves into the technological hurdles, such as the heterogeneity of devices and standards, security and privacy concerns, scalability issues, and the pressing need for standardization and regulatory frameworks. The paper reviews current strategies, including middleware use, IoT platforms, APIs, and standard protocols, providing a comparative analysis of these approaches. It also discusses emerging technologies like AI, blockchain, and edge computing that are reshaping IoT data integration, alongside potential advancements in standardization and regulations. The paper identifies future challenges and opportunities in IoT, proposing areas for further research, including AI-driven predictive maintenance, blockchain for secure networks, standardization in communication protocols, ethical implications, and energy-efficient IoT devices. This comprehensive review and forward-looking perspective aim to guide future developments in the IoT ecosystem, highlighting the critical role of data integration and interoperability in realizing the full potential of IoT technologies. Show less

This research focuses on the critical role of performance testing, particularly load testing, in evaluating web systems' robustness under varying loads. It highlights the methodology centered on request and response times, using https://mu.ac.in/ as an example. The paper recognizes the broader significance of performance testing in life-critical and mission-critical domains. It presents key findings from a college website load testing case study, demonstrating the impact of increased user loads… Show more

This research focuses on the critical role of performance testing, particularly load testing, in evaluating web systems' robustness under varying loads. It highlights the methodology centered on request and response times, using https://mu.ac.in/ as an example. The paper recognizes the broader significance of performance testing in life-critical and mission-critical domains. It presents key findings from a college website load testing case study, demonstrating the impact of increased user loads on response time and scalability limitations. The study underscores the importance of systematic load testing in identifying performance bottlenecks and advocates its adoption for ensuring optimal web system scalability. Show less

Augmented Intelligence (AI) combines human and artificial intelligence to enhance decision-making. This
paper reviews AI concepts, applications, and collaboration models like human-in-the-loop AI and cognitive computing AI. It examines AI's role in improving human judgment, handling large datasets, and making routine decisions. The paper explores AI's impact on sectors like healthcare through use cases in blood glucose monitoring. It applies the McKinsey 4D framework to implement AI for… Show more

Augmented Intelligence (AI) combines human and artificial intelligence to enhance decision-making. This
paper reviews AI concepts, applications, and collaboration models like human-in-the-loop AI and cognitive computing AI. It examines AI's role in improving human judgment, handling large datasets, and making routine decisions. The paper explores AI's impact on sectors like healthcare through use cases in blood glucose monitoring. It applies the McKinsey 4D framework to implement AI for glucose monitoring. The paper also discusses emerging models like Hybrid Augmented Intelligence (HAI) that integrate human cognition within AI systems for optimal performance. Overall, it underscores AI's potential in complementing human capabilities and driving innovation across industries with responsible design. Show less

Artificial intelligence (AI) is transforming manufacturing through software-defined processes that optimize operations. This paper explores how AI-driven technologies like machine learning and computer vision enable data-driven decision-making, predictive maintenance, quality control, and human-robot collaboration. A software-defined approach integrates information and operational technologies to digitize infrastructure. Key challenges involve legacy systems, security, and connectivity… Show more

Artificial intelligence (AI) is transforming manufacturing through software-defined processes that optimize operations. This paper explores how AI-driven technologies like machine learning and computer vision enable data-driven decision-making, predictive maintenance, quality control, and human-robot collaboration. A software-defined approach integrates information and operational technologies to digitize infrastructure. Key challenges involve legacy systems, security, and connectivity. Proposed solutions include hardware standardization, robust protocols, and upgraded network components. Additional research may focus on innovative applications of AI, blockchain, quantum computing, and enhanced connectivity. With intelligent and agile processes, manufacturers can enhance efficiency, sustainability, and competitiveness. Show less

Site Reliability Engineering (SRE) is an emerging software engineering approach that can significantly enhance manufacturing operations. This paper explores how applying SRE practices improves efficiency through automation, reduces downtime via rapid incident response, and increases the reliability of manufacturing systems. Case studies demonstrate SRE principles in action, such as incident management to minimize equipment downtime losses.

Industry 5.0, the most recent industrial revolution, provides the potential to change the medical device implant production industry. Industry 5.0 offers a highly automated and networked production environment by merging cyber-physical systems, artificial intelligence (AI), machine learning, and the Internet of Things. This environment enables real-time data collection and analysis, enhancing manufacturing processes, cost savings, and product quality. The use of AI and machine learning improves… Show more

Industry 5.0, the most recent industrial revolution, provides the potential to change the medical device implant production industry. Industry 5.0 offers a highly automated and networked production environment by merging cyber-physical systems, artificial intelligence (AI), machine learning, and the Internet of Things. This environment enables real-time data collection and analysis, enhancing manufacturing processes, cost savings, and product quality. The use of AI and machine learning improves decision-making capacities by detecting patterns in data and forecasting future trends. Incorporating Business 5.0 into the medical device implant manufacturing business can alter the industry by allowing manufacturers to develop a fully automated and linked production environment. Utilizing sophisticated technologies like AI, machine learning, the Internet of Things, and robots allows for the collection and analysis of real-time data to optimize production, cut costs, and improve product quality. The relevance of Business 5.0 in transforming the medical device implant manufacturing business is highlighted in this study, as is the transformational impact of AI and machine learning in decision-making processes. Show less

Neural Manufacturing represents an emerging paradigm in the manufacturing industry that aims to create intelligent, adaptive, and resilient production systems. Inspired by biological neural networks, Neural Manufacturing entails integrating various elements of the manufacturing value chain into an interconnected, collaborative ecosystem. Core concepts include creating cognitive enterprises through artificial intelligence and machine learning, connecting entire value chains for end-to-end… Show more

Neural Manufacturing represents an emerging paradigm in the manufacturing industry that aims to create intelligent, adaptive, and resilient production systems. Inspired by biological neural networks, Neural Manufacturing entails integrating various elements of the manufacturing value chain into an interconnected, collaborative ecosystem. Core concepts include creating cognitive enterprises through artificial intelligence and machine learning, connecting entire value chains for end-to-end visibility and coordination, and building purpose-driven collaborative ecosystems. The origins of Neural Manufacturing stem from advancements in digital technologies like cloud computing, predictive analytics, and automation. Key benefits include heightened agility, sustainability, productivity, and human-machine collaboration. While promising, realizing the potential of Neural Manufacturing requires strategic planning, investment in capabilities building, and managing organizational change. With diligent adoption, Neural Manufacturing is poised to usher in a new era defined by optimized, innovative, and adaptive manufacturing operations. This literature review explores the conceptual origins, technological drivers, implementation roadmap, benefits, and challenges associated with this transformative shift in the manufacturing paradigm. Show less

The integration of edge computing and Industry 5.0 has the potential to revolutionize medical device manufacturing, enhancing the effectiveness, functionality, and safety of medical devices. This research article explores the opportunities and challenges associated with this convergence in the medical device sector. The paper highlights how edge computing enables real-time data processing and analysis at the production site, leading to enhanced real-time monitoring, diagnostics, and predictive… Show more

The integration of edge computing and Industry 5.0 has the potential to revolutionize medical device manufacturing, enhancing the effectiveness, functionality, and safety of medical devices. This research article explores the opportunities and challenges associated with this convergence in the medical device sector. The paper highlights how edge computing enables real-time data processing and analysis at the production site, leading to enhanced real-time monitoring, diagnostics, and predictive maintenance for medical devices. Additionally, Industry 5.0 principles promote human-robot collaboration, personalized healthcare, and intelligent decision-making through data analytics and AI. The paper also addresses the challenges of cybersecurity, privacy concerns, scalability, network infrastructure, and interoperability issues in the implementation of edge computing and Industry 5.0. The article emphasizes the importance of standardized communication protocols and data formats to ensure seamless interoperability. Lastly, it outlines potential areas of research and development, such as realtime analytics, cybersecurity, and human-robot collaboration, to further enhance the integration of edge computing and Industry 5.0 in medical device manufacturing. Researchers, manufacturers, and policymakers stand to benefit from a comprehensive understanding of the opportunities and challenges, enabling the development of strategies to drive positive industry-wide outcomes in medical device manufacturing. Show less

The evolution of the manufacturing industry has led to the development of Industry 5.0, which seeks to integrate human efforts into the production of goods while ensuring sustainability. This review paper aims to explore the significance of Industry 5.0 in advancing the agility and resilience of modern manufacturing systems. The paper will discuss the role of automation, Digitization, and advanced analytics in enhancing agility and resilience in the manufacturing industry. The review will begin… Show more

The evolution of the manufacturing industry has led to the development of Industry 5.0, which seeks to integrate human efforts into the production of goods while ensuring sustainability. This review paper aims to explore the significance of Industry 5.0 in advancing the agility and resilience of modern manufacturing systems. The paper will discuss the role of automation, Digitization, and advanced analytics in enhancing agility and resilience in the manufacturing industry. The review will begin by providing an overview of the previous industrial revolutions and their impact on the manufacturing industry. Furthermore, the paper will delve into the concept of Industry 5.0 and its features, including the integration of human efforts and sustainability. The paper will also analyze the disruptions that have affected the manufacturing industry, such as natural disasters, pandemics, and supply chain disruptions, and how Industry 5.0 can address them. Additionally, the paper will examine the benefits of agility and resilience in manufacturing, such as increased production, organizational commitment, operational flexibility, and customer satisfaction. Finally, the paper will conclude by highlighting the significance of Industry 5.0 in advancing the agility and resilience of modern manufacturing systems and providing recommendations for future research. Overall, the paper aims to provide insights into the importance of Industry 5.0 in advancing the manufacturing industry and ensuring its sustainability in the face of various disruptions. Show less