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 10: 0128220678
ISBN 13: 9780128220672
Language: EN, FR, DE, ES & NL

Process Safety and Big Data Book Review:

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

KONGRESSFOLGE European Conference on Process Safety and Big Data 2019

KONGRESSFOLGE European Conference on Process Safety and Big Data 2019
Author: Anonim
Publsiher: Unknown
Total Pages: 135
Release: 2022
ISBN 10: 1928374650XXX
ISBN 13: OCLC:1256658781
Language: EN, FR, DE, ES & NL

KONGRESSFOLGE European Conference on Process Safety and Big Data 2019 Book Review:

Methods in Chemical Process Safety

Methods in Chemical Process Safety
Author: Anonim
Publsiher: Academic Press
Total Pages: 454
Release: 2020-06-26
ISBN 10: 0128218258
ISBN 13: 9780128218259
Language: EN, FR, DE, ES & NL

Methods in Chemical Process Safety Book Review:

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 10: 0128181109
ISBN 13: 9780128181102
Language: EN, FR, DE, ES & NL

Process Safety Management and Human Factors Book Review:

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

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: 400
Release: 2021-04-20
ISBN 10: 1119740754
ISBN 13: 9781119740759
Language: EN, FR, DE, ES & NL

Big Data Analytics for Internet of Things Book Review:

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.

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 10: 1799839052
ISBN 13: 9781799839057
Language: EN, FR, DE, ES & NL

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

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.

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 10: 3319478982
ISBN 13: 9783319478982
Language: EN, FR, DE, ES & NL

Advances in Big Data Book Review:

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.

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 10: 3030711838
ISBN 13: 9783030711832
Language: EN, FR, DE, ES & NL

Process Operational Safety and Cybersecurity Book Review:

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.

Production Safety and Teamwork in a Deep Level Mining Workplace

Production  Safety and Teamwork in a Deep Level Mining Workplace
Author: Sizwe Timothy Phakathi
Publsiher: Emerald Group Publishing
Total Pages: 280
Release: 2017-11-23
ISBN 10: 1787149765
ISBN 13: 9781787149762
Language: EN, FR, DE, ES & NL

Production Safety and Teamwork in a Deep Level Mining Workplace Book Review:

The book highlights the day-to-day lived experience of miners’ work and organisational practices that shape the day-to-day running of the production process in a deep-level mining workplace.

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: 135
Release: 2022
ISBN 10: 3030895114
ISBN 13: 9783030895112
Language: EN, FR, DE, ES & NL

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

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: 135
Release: 2022
ISBN 10: 3030895084
ISBN 13: 9783030895082
Language: EN, FR, DE, ES & NL

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

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 10: 9811525684
ISBN 13: 9789811525681
Language: EN, FR, DE, ES & NL

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

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.

Big Data in Radiation Oncology

Big Data in Radiation Oncology
Author: Jun Deng,Lei Xing
Publsiher: CRC Press
Total Pages: 289
Release: 2019-03-07
ISBN 10: 1351801120
ISBN 13: 9781351801126
Language: EN, FR, DE, ES & NL

Big Data in Radiation Oncology Book Review:

Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders. Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship.

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 10: 1522572783
ISBN 13: 9781522572787
Language: EN, FR, DE, ES & NL

Managerial Perspectives on Intelligent Big Data Analytics Book Review:

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.

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 10: 3030879038
ISBN 13: 9783030879037
Language: EN, FR, DE, ES & NL

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

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 10: 1000455696
ISBN 13: 9781000455694
Language: EN, FR, DE, ES & NL

Entrepreneurship and Big Data Book Review:

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: Sam Goundar,Praveen Kumar Rayani
Publsiher: IGI Global
Total Pages: 377
Release: 2021
ISBN 10: 1799866750
ISBN 13: 9781799866756
Language: EN, FR, DE, ES & NL

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

"This book addresses the newest innovative and intelligent applications related to utilizing the large amounts of big data being generated that is increasingly driving decision making and changing the landscape of business intelligence, from governments to private organizations, from communities to individuals"--

2020 International Conference on Applications and Techniques in Cyber Intelligence

2020 International Conference on Applications and Techniques in Cyber Intelligence
Author: Jemal H. Abawajy,Kim-Kwang Raymond Choo,Zheng Xu,Mohammed Atiquzzaman
Publsiher: Springer Nature
Total Pages: 1144
Release: 2020-08-12
ISBN 10: 3030539806
ISBN 13: 9783030539801
Language: EN, FR, DE, ES & NL

2020 International Conference on Applications and Techniques in Cyber Intelligence Book Review:

This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.

Security Privacy and Forensics Issues in Big Data

Security  Privacy  and Forensics Issues in Big Data
Author: Joshi, Ramesh C.,Gupta, Brij B.
Publsiher: IGI Global
Total Pages: 456
Release: 2019-08-30
ISBN 10: 1522597441
ISBN 13: 9781522597445
Language: EN, FR, DE, ES & NL

Security Privacy and Forensics Issues in Big Data Book Review:

With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.

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 10: 1799830608
ISBN 13: 9781799830603
Language: EN, FR, DE, ES & NL

Safety and Security Issues in Technical Infrastructures Book Review:

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.