BOOKS - Internet of Things and Big Data Analytics-Based Manufacturing
Internet of Things and Big Data Analytics-Based Manufacturing - Arun Kumar Rana, Sudeshna Chakraborty, Pallavi Goel, Sumit Kumar Rana, Ahmed A. Elngar 2025 PDF | EPUB CRC Press BOOKS
1 TON

Views
29837

Telegram
 
Internet of Things and Big Data Analytics-Based Manufacturing
Author: Arun Kumar Rana, Sudeshna Chakraborty, Pallavi Goel, Sumit Kumar Rana, Ahmed A. Elngar
Year: 2025
Format: PDF | EPUB
File size: 28.9 MB
Language: ENG



Pay with Telegram STARS
The book "Internet of Things and Big Data AnalyticsBased Manufacturing" explores the integration of IoT and big data analytics in manufacturing processes, highlighting their potential benefits and challenges. The author argues that these technologies have the power to revolutionize the industry by enabling real-time monitoring, predictive maintenance, and optimized production. However, they also raise concerns about data privacy and security, as well as the need for new skills and competencies among workers. The book provides case studies and examples of successful implementation to demonstrate the practical applications of IoT and big data analytics in manufacturing. The plot of the book revolves around the following themes: 1. Technology Evolution: The book begins by tracing the evolution of technology from the early days of automation to the current era of IoT and big data analytics. It emphasizes the importance of understanding this process to appreciate the potential of these technologies in modern manufacturing. 2. Personal Paradigm: The author stresses the need for individuals to develop a personal paradigm for perceiving the technological process of developing modern knowledge. This involves recognizing the interconnectedness of technology and its impact on society, economy, and politics. 3. Survival of Humanity: The book highlights the significance of embracing IoT and big data analytics in manufacturing to ensure the survival of humanity in a rapidly changing world.
В книге «Internet of Things and Big Data AnalyticsBased Manufacturing» исследуется интеграция IoT и аналитики больших данных в производственные процессы, освещаются их потенциальные преимущества и проблемы. Автор утверждает, что эти технологии способны революционизировать отрасль, обеспечивая мониторинг в реальном времени, прогнозное обслуживание и оптимизированное производство. Тем не менее, они также вызывают обеспокоенность по поводу конфиденциальности и безопасности данных, а также необходимости новых навыков и компетенций среди работников. В книге представлены тематические исследования и примеры успешного внедрения для демонстрации практического применения IoT и аналитики больших данных на производстве. Сюжет книги вращается вокруг следующих тем: 1. Эволюция технологий: книга начинается с отслеживания эволюции технологий от первых дней автоматизации до нынешней эры IoT и аналитики больших данных. В нем подчеркивается важность понимания этого процесса, чтобы оценить потенциал этих технологий в современном производстве. 2. Personal Paradigm: Автор подчеркивает необходимость развития индивидуумами личностной парадигмы восприятия технологического процесса развития современных знаний. Это предполагает признание взаимосвязанности технологий и их влияния на общество, экономику и политику. 3. Survival of Humanity: В книге подчеркивается важность использования Интернета вещей и аналитики больших данных в производстве для обеспечения выживания человечества в быстро меняющемся мире.
''

You may also be interested in:

Big data A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data Science, Data Analytics, Business Intelligence, and Data Mining
Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things
Big Data Analytics for Internet of Things
Big Data-Enabled Internet of Things (Computing and Networks)
Internet of Things and Big Data Analytics-Based Manufacturing
Tomorrow’s Jobs Today Wisdom And Career Advice From Thought Leaders In Ai, Big Data, Blockchain, The Internet Of Things, Privacy, And More
Medical Big Data and Internet of Medical Things Advances, Challenges and Applications
Business Intelligence An Essential Beginner’s Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing
The Internet of Things From Data to Insight
Internet of Things and Data Analytics Handbook
Data Analytics for Internet of Things Infrastructure
Internet of Everything and Big Data
Probabilistic Data Structures for Blockchain-Based Internet of Things Applications
Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science
Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science
Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems
Artificial Intelligence for Beginners Easy to understand guide of Ai, data Science and Internet of Things
Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems
Swarm Intelligence for Resource Management in Internet of Things (Intelligent Data-Centric Systems)
LTE Cellular Narrowband Internet of Things (NB-IoT) Practical Projects for the Cloud and Data Visualization
Learning Algorithms for Internet of Things Applying Python Tools to Improve Data Collection Use for System Performance
Big Data Governance Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics
Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage
Data Analytics and Machine Learning: Navigating the Big Data Landscape (Studies in Big Data, 145)
Big Data Management Data Governance Principles for Big Data Analytics, 1st Edition
Machine Intelligence for Internet of Medical Things: Applications and Future Trends (Computational Intelligence for Data Analysis Book 2)
Internet Computing and Internet of Things (The 2019 WorldComp International Conference Proceedings)
Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems (Intelligent Data-Driven Systems and Artificial Intelligence)
Big Data Systems A 360-degree Approach (Chapman & Hall/CRC Big Data Series)
Big Data Revolution What farmers, doctors and insurance agents teach us about discovering big data patterns
Big Data Recommender Systems - Volume 1 Algorithms, Architectures, Big Data, Security and Trust
Big Data and Smart Digital Environment (Studies in Big Data Book 53)
Designing Big Data Platforms How to Use, Deploy, and Maintain Big Data Systems
Data Analytics Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
Harness the Power of Big Data The IBM Big Data Platform
The Data Revolution Big Data, Open Data, Data Infrastructures and Their Consequences
Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications (IoT and Big Data Analytics)
Data Modeling Made Simple with Embarcadero ER/Studio Data Architect Adapting to Agile Data Modeling in a Big Data World