Process Safety and Big Data

Process Safety and Big Data
Author: Sagit Valeev,Natalya Kondratyeva
Publsiher: Elsevier
Total Pages: 312
Release: 2021-02-18
ISBN: 0128220678
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Process Safety and Big Data Book Excerpt:

Process Safety and Big Data discusses the principles of process safety and advanced information technologies. It explains how these principles are applied to the process industry and provides examples of applications in process safety control and decision support systems. This book helps to address problems that researchers face in industry that are the result of increased process complexity and that have an impact on safety issues. It shows ways to tackle these safety issues by implementing modern information technologies, such as big data analysis and artificial intelligence. It provides an integrated approach to modern information technologies used in control and management of process safety in industry. The book also considers indicators and criteria in effective safety decisions, and addresses the issue of how big data would provide support for improved, autonomous, data-driven decisions. Paves the way for the digital transformation of safety science and safety management Takes a system approach to advanced information technologies used in process safety Applies big data technologies to process safety Includes multiple pertinent case studies

Methods to Assess and Manage Process Safety in Digitalized Process System

Methods to Assess and Manage Process Safety in Digitalized Process System
Author: Anonim
Publsiher: Academic Press
Total Pages: 672
Release: 2022-07-15
ISBN: 0323988989
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Methods to Assess and Manage Process Safety in Digitalized Process System Book Excerpt:

Methods to Assess and Manage Process Safety in Digitalized Process System, Volume Six, the latest release in the Methods in Chemical Process Safety series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Methods in Chemical Process Safety series Provides the authority and expertise of leading contributors from an international board of authors

Methods in Chemical Process Safety

Methods in Chemical Process Safety
Author: Anonim
Publsiher: Academic Press
Total Pages: 454
Release: 2020-06-26
ISBN: 0128218258
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Methods in Chemical Process Safety Book Excerpt:

Methods in Chemical Process Safety, Volume Four focuses on the process of learning from experience, including elements of process safety management, human factors in the chemical process industries, and the regulation of chemical process safety, including current approaches. Users will find this book to be an informative tool and user manual for process safety for a variety of professionals with this new release focusing on Advanced Methods of Risk Assessment and Management, Logic Based Methods for Dynamic Risk Assessment, Bayesian Methods for Dynamic Risk Assessment, Data Driven Methods, Rare Event Risk Assessment, Risk Management and Multi Criteria, and much more. Helps acquaint the reader/researcher with the fundamentals of process safety Provides the most recent advancements and contributions on the topic from a practical point-of-view Presents users with the views/opinions of experts in each topic Includes a selection of authors who are leading researchers and/or practitioners for each given topic

Process Safety Management and Human Factors

Process Safety Management and Human Factors
Author: Waddah S. Ghanem Al Hashmi
Publsiher: Butterworth-Heinemann
Total Pages: 346
Release: 2020-11-13
ISBN: 0128181109
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Process Safety Management and Human Factors Book Excerpt:

Process Safety Management and Human Factors: A Practitioner's Experiential Approach addresses human factors in process safety management (PSM) from a reflective learning approach. The book is written by engineers and technical specialists who spent the last 15-20 years of their professional career looking at behavioral-based safety, human factor research, and safety culture development in organizations. It is a fundamental resource for operational, technical and safety managers in high-risk industries who need to focus on personal and occupational safety management to prevent safety accidents. Real-life examples illustrate how a good, effective understanding of human factors supports PSM and positive impacts on accident occurrence. Covers the evolution and background of process safety management Shows how to integrate and augment process safety management with operational excellence and health, safety and environment management systems Focuses on human factors in process safety management Includes many real-life case studies from the collective experience of the book's authors

Applications and Challenges of Maintenance and Safety Engineering in Industry 4 0

Applications and Challenges of Maintenance and Safety Engineering in Industry 4 0
Author: Martinetti, Alberto,Demichela, Micaela,Singh, Sarbjeet
Publsiher: IGI Global
Total Pages: 321
Release: 2020-06-26
ISBN: 1799839052
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Applications and Challenges of Maintenance and Safety Engineering in Industry 4 0 Book Excerpt:

To plan, build, monitor, maintain, and dispose of products and assets properly, maintenance and safety requirements must be implemented and followed. A lack of maintenance and safety protocols leads to accidents and environmental disasters as well as unexpected downtime that costs businesses money and time. With the arrival of the Fourth Industrial Revolution and evolving technological tools, it is imperative that safety and maintenance practices be reexamined. Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 is a collection of innovative research that addresses safety and design for maintenance and reducing the factors that influence and degrade human performance and that provides technological advancements and emergent technologies that reduce the dependence on operator capabilities. Highlighting a wide range of topics including management analytics, internet of things (IoT), and maintenance, this book is ideally designed for engineers, software designers, technology developers, managers, safety officials, researchers, academicians, and students.

Big Data Analytics for Internet of Things

Big Data Analytics for Internet of Things
Author: Tausifa Jan Saleem,Mohammad Ahsan Chishti
Publsiher: John Wiley & Sons
Total Pages: 402
Release: 2021-04-20
ISBN: 1119740754
Category: Mathematics
Language: EN, FR, DE, ES & NL

Big Data Analytics for Internet of Things Book Excerpt:

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.

Process Operational Safety and Cybersecurity

Process Operational Safety and Cybersecurity
Author: Zhe Wu,Panagiotis D. Christofides
Publsiher: Springer Nature
Total Pages: 277
Release: 2021-06-09
ISBN: 3030711838
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Process Operational Safety and Cybersecurity Book Excerpt:

This book is focused on the development of rigorous, yet practical, methods for the design of advanced process control systems to improve process operational safety and cybersecurity for a wide range of nonlinear process systems. Process Operational Safety and Cybersecurity develops designs for novel model predictive control systems accounting for operational safety considerations, presents theoretical analysis on recursive feasibility and simultaneous closed-loop stability and safety, and discusses practical considerations including data-driven modeling of nonlinear processes, characterization of closed-loop stability regions and computational efficiency. The text then shifts focus to the design of integrated detection and model predictive control systems which improve process cybersecurity by efficiently detecting and mitigating the impact of intelligent cyber-attacks. The book explores several key areas relating to operational safety and cybersecurity including: machine-learning-based modeling of nonlinear dynamical systems for model predictive control; a framework for detection and resilient control of sensor cyber-attacks for nonlinear systems; insight into theoretical and practical issues associated with the design of control systems for process operational safety and cybersecurity; and a number of numerical simulations of chemical process examples and Aspen simulations of large-scale chemical process networks of industrial relevance. A basic knowledge of nonlinear system analysis, Lyapunov stability techniques, dynamic optimization, and machine-learning techniques will help readers to understand the methodologies proposed. The book is a valuable resource for academic researchers and graduate students pursuing research in this area as well as for process control engineers. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Advances in Big Data

Advances in Big Data
Author: Plamen Angelov,Yannis Manolopoulos,Lazaros Iliadis,Asim Roy,Marley Vellasco
Publsiher: Springer
Total Pages: 348
Release: 2016-10-20
ISBN: 3319478982
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Big Data Book Excerpt:

The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23–25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.

A Systems Approach to Managing the Complexities of Process Industries

A Systems Approach to Managing the Complexities of Process Industries
Author: Fabienne Salimi,Frederic Salimi
Publsiher: Elsevier
Total Pages: 442
Release: 2017-11-28
ISBN: 0128042184
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

A Systems Approach to Managing the Complexities of Process Industries Book Excerpt:

A Systems Approach to Managing the Complexities of Process Industries discusses the principles of system engineering, system thinking, complexity thinking and how these apply to the process industry, including benefits and implementation in process safety management systems. The book focuses on the ways system engineering skills, PLM, and IIoT can radically improve effectiveness of implementation of the process safety management system. Covering lifecycle, megaproject system engineering, and project management issues, this book reviews available tools and software and presents the practical web-based approach of Analysis & Dynamic Evaluation of Project Processes (ADEPP) for system engineering of the process manufacturing development and operation phases. Key solutions proposed include adding complexity management steps in the risk assessment framework of ISO 31000 and utilization of Installation Lifecycle Management. This study of this end-to-end process will help users improve operational excellence and navigate the complexities of managing a chemical or processing plant. Presents a review of Operational Excellence and Process Safety Management Methods, along with solutions to complexity assessment and management Provides a comparison of the process manufacturing industry with discrete manufacturing, identifying similarities and areas of customization for process manufacturing Discusses key solutions for managing the complexities of process manufacturing development and operational phases

Machine Learning in Chemical Safety and Health

Machine Learning in Chemical Safety and Health
Author: Qingsheng Wang,Changjie Cai
Publsiher: John Wiley & Sons
Total Pages: 324
Release: 2023-02-06
ISBN: 111981748X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Machine Learning in Chemical Safety and Health Book Excerpt:

Introduces Machine Learning Techniques and Tools and Provides Guidance on How to Implement Machine Learning Into Chemical Safety and Health-related Model Development There is a growing interest in the application of machine learning algorithms in chemical safety and health-related model development, with applications in areas including property and toxicity prediction, consequence prediction, and fault detection. This book is the first to review the current status of machine learning implementation in chemical safety and health research and to provide guidance for implementing machine learning techniques and algorithms into chemical safety and health research. Written by an international team of authors and edited by renowned experts in the areas of process safety and occupational and environmental health, sample topics covered within the work include: An introduction to the fundamentals of machine learning, including regression, classification and cross-validation, and an overview of software and tools Detailed reviews of various applications in the areas of chemical safety and health, including flammability prediction, consequence prediction, asset integrity management, predictive nanotoxicity and environmental exposure assessment, and more Perspective on the possible future development of this field Machine Learning in Chemical Safety and Health serves as an essential guide on both the fundamentals and applications of machine learning for industry professionals and researchers in the fields of process safety, chemical safety, occupational and environmental health, and industrial hygiene.

Industry 4 0 and Climate Change

Industry 4 0 and Climate Change
Author: Rajeev Agrawal,J. Paulo Davim,Maria L.R. Varela,Monica Sharma
Publsiher: CRC Press
Total Pages: 297
Release: 2022-10-17
ISBN: 1000728587
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Industry 4 0 and Climate Change Book Excerpt:

At present, both Industry 4.0 and industrial engineering management developments are reshaping the industrial sector worldwide. Industry 4.0 and sustainability are considered as the crucial emerging trends in industrial production systems. The resulting transformations are changing production modes from traditional to digital, intelligent, and decentralized. It is expected that Industry 4.0 will help drive sustainability in industries thanks to the implementation of advanced technology and a move towards social sustainability. This book reflects on the consequences of the transition to Industry 4.0 for climate change. The book presents a systemic overview of the current negative impacts of digitization on the environment and showcases a new outline of the energy domain and expected changes in environmental pollution levels under Industry 4.0. It also analyzes the ecological consequences of the growth and development of Industry 4.0 and considers Industry 4.0 as an alternative to fighting climate change, in the sense of shifting the global community’s attention from environmental protection to consolidation of the digital economy. This book will be of interest to academicians and practitioners in the fields of climate change and development of Industry 4.0, and it will contribute to national economic policies for fighting climate change and corporate strategies of sustainable development under Industry 4.0.

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Author: John Macintyre
Publsiher: Springer Nature
Total Pages: 999
Release: 2021
ISBN: 3030895114
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book Excerpt:

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Big Data Analytics for Cyber Physical System in Smart City

Big Data Analytics for Cyber Physical System in Smart City
Author: Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publsiher: Springer Nature
Total Pages: 2016
Release: 2020-01-11
ISBN: 9811525684
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Big Data Analytics for Cyber Physical System in Smart City Book Excerpt:

This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Safety and Security Issues in Technical Infrastructures

Safety and Security Issues in Technical Infrastructures
Author: Rehak, David,Bernatik, Ales,Dvorak, Zdenek,Hromada, Martin
Publsiher: IGI Global
Total Pages: 499
Release: 2020-04-17
ISBN: 1799830608
Category: Computers
Language: EN, FR, DE, ES & NL

Safety and Security Issues in Technical Infrastructures Book Excerpt:

In the modern age of urbanization, the mass population is becoming progressively reliant on technical infrastructures. These industrial buildings provide integral services to the general public including the delivery of energy, information and communication technologies, and maintenance of transport networks. The safety and security of these structures is crucial as new threats are continually emerging. Safety and Security Issues in Technical Infrastructures is a pivotal reference source that provides vital research on the modernization of occupational security and safety practices within information technology-driven buildings. While highlighting topics such as explosion process safety, nanotechnology, and infrastructural risk analysis, this publication explores current risks and uncertainties and the raising of comprehensive awareness for experts in this field. This book is ideally designed for security managers, safety personnel, civil engineers, architects, researchers, construction professionals, strategists, educators, material scientists, property owners, and students.

Application of Big Data Blockchain and Internet of Things for Education Informatization

Application of Big Data  Blockchain  and Internet of Things for Education Informatization
Author: Mian Ahmad Jan
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030879038
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Application of Big Data Blockchain and Internet of Things for Education Informatization Book Excerpt:

Managerial Perspectives on Intelligent Big Data Analytics

Managerial Perspectives on Intelligent Big Data Analytics
Author: Sun, Zhaohao
Publsiher: IGI Global
Total Pages: 335
Release: 2019-02-22
ISBN: 1522572783
Category: Computers
Language: EN, FR, DE, ES & NL

Managerial Perspectives on Intelligent Big Data Analytics Book Excerpt:

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

Entrepreneurship and Big Data

Entrepreneurship and Big Data
Author: Meghna Chhabra,Rohail Hassan,Amjad Shamim
Publsiher: CRC Press
Total Pages: 300
Release: 2021-09-30
ISBN: 1000455696
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Entrepreneurship and Big Data Book Excerpt:

The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation. This book provides an overview of the various aspects of entrepreneurship, function, and contemporary forms. It covers a real-world understanding of how the entrepreneurial world works and the required new analytics thinking and computational skills. It also encompasses the essential elements needed when starting an entrepreneurial journey and offers inspirational case studies from key industry leaders. Ideal reading for aspiring entrepreneurs, Entrepreneurship and Big Data: The Digital Revolution is also useful to students, academicians, researchers, and practitioners.

Applications of Big Data in Large and Small Scale Systems

Applications of Big Data in Large  and Small Scale Systems
Author: Goundar, Sam,Rayani, Praveen Kumar
Publsiher: IGI Global
Total Pages: 377
Release: 2021-01-15
ISBN: 1799866750
Category: Computers
Language: EN, FR, DE, ES & NL

Applications of Big Data in Large and Small Scale Systems Book Excerpt:

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

Process Engineering Renewal 1

Process Engineering Renewal 1
Author: Éric Schaer,Jean-Claude André
Publsiher: John Wiley & Sons
Total Pages: 342
Release: 2020-06-16
ISBN: 1786305534
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Process Engineering Renewal 1 Book Excerpt:

Process engineering emerged at the beginning of the 20th Century and has become an essential scientific discipline for the matter and energy processing industries. Its success is incontrovertible, with the exponential increase in techniques and innovations. Rapid advances in new technologies such as artificial intelligence, as well as current societal needs – sustainable development, climate change, renewable energy, the environment – are developments that must be taken into account in industrial renewal. Process Engineering Renewal 1 – the first volume of three – focuses on training, demonstrating the need for innovation in order for the field to have a framework that is sustainable, in a highly changeable world.

Applications of Artificial Intelligence Big Data and Internet of Things in Sustainable Development

Applications of Artificial Intelligence  Big Data and Internet of Things in Sustainable Development
Author: Sam Goundar,Archana Purwar,Ajmer Singh
Publsiher: CRC Press
Total Pages: 350
Release: 2022-09-30
ISBN: 100065253X
Category: Computers
Language: EN, FR, DE, ES & NL

Applications of Artificial Intelligence Big Data and Internet of Things in Sustainable Development Book Excerpt:

This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.