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Process Safety and Big Data

Process Safety and Big Data
A Book

by Sagit Valeev,Natalya Kondratyeva

  • Publisher : Elsevier
  • Release : 2021-02-18
  • Pages : 312
  • ISBN : 0128220678
  • Language : En, Es, Fr & De
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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
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2021
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Methods in Chemical Process Safety

Methods in Chemical Process Safety
A Book

by Anonim

  • Publisher : Academic Press
  • Release : 2020-06-26
  • Pages : 454
  • ISBN : 0128218258
  • Language : En, Es, Fr & De
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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
A Practitioner’s Experiential Approach

by Waddah S. Ghanem Al Hashmi

  • Publisher : Butterworth-Heinemann
  • Release : 2020-11-13
  • Pages : 346
  • ISBN : 0128181109
  • Language : En, Es, Fr & De
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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
A Book

by Martinetti, Alberto,Demichela, Micaela,Singh, Sarbjeet

  • Publisher : IGI Global
  • Release : 2020-06-26
  • Pages : 321
  • ISBN : 1799839052
  • Language : En, Es, Fr & De
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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
Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece

by Plamen Angelov,Yannis Manolopoulos,Lazaros Iliadis,Asim Roy,Marley Vellasco

  • Publisher : Springer
  • Release : 2016-10-20
  • Pages : 348
  • ISBN : 3319478982
  • Language : En, Es, Fr & De
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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
A Feedback Control Approach

by Zhe Wu

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 277
  • ISBN : 3030711838
  • Language : En, Es, Fr & De
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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.

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
SPIoT-2021 Volume 2

by John Macintyre

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 3030895114
  • Language : En, Es, Fr & De
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Industrial Engineering in the Big Data Era

Industrial Engineering in the Big Data Era
Selected Papers from the Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2018, June 21–22, 2018, Nevsehir, Turkey

by Fethi Calisir,Emre Cevikcan,Hatice Camgoz Akdag

  • Publisher : Springer
  • Release : 2019-01-23
  • Pages : 513
  • ISBN : 3030033171
  • Language : En, Es, Fr & De
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This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held in Nevsehir, Turkey, on June 21-22, 2018. They reports on industrial engineering methods and applications, with a special focus on the advantages and challenges posed by Big data in this field. The book covers a wide range of topics, including decision making, optimization, supply chain management and quality control.

A Systems Approach to Managing the Complexities of Process Industries

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

by Fabienne Salimi,Frederic Salimi

  • Publisher : Elsevier
  • Release : 2017-11-28
  • Pages : 442
  • ISBN : 0128042184
  • Language : En, Es, Fr & De
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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

Big Data Analytics for Cyber-Physical System in Smart City

Big Data Analytics for Cyber-Physical System in Smart City
BDCPS 2019, 28-29 December 2019, Shenyang, China

by Mohammed Atiquzzaman,Neil Yen,Zheng Xu

  • Publisher : Springer Nature
  • Release : 2020-01-11
  • Pages : 2016
  • ISBN : 9811525684
  • Language : En, Es, Fr & De
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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
A Book

by Jun Deng,Lei Xing

  • Publisher : CRC Press
  • Release : 2019-03-07
  • Pages : 289
  • ISBN : 1351801120
  • Language : En, Es, Fr & De
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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
A Book

by Sun, Zhaohao

  • Publisher : IGI Global
  • Release : 2019-02-22
  • Pages : 335
  • ISBN : 1522572783
  • Language : En, Es, Fr & De
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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
First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1–3, 2021, Proceedings, Part II

by Mian Ahmad Jan

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 3030879038
  • Language : En, Es, Fr & De
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Entrepreneurship and Big Data

Entrepreneurship and Big Data
The Digital Revolution

by Meghna Chhabra,Rohail Hassan,Amjad Shamim

  • Publisher : CRC Press
  • Release : 2021-09-30
  • Pages : 300
  • ISBN : 1000455696
  • Language : En, Es, Fr & De
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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
A Book

by Sam Goundar,Praveen Kumar Rayani

  • Publisher : IGI Global
  • Release : 2021
  • Pages : 377
  • ISBN : 1799866750
  • Language : En, Es, Fr & De
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"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
Applications and Techniques in Cyber Intelligence (ATCI 2020)

by Jemal H. Abawajy,Kim-Kwang Raymond Choo,Zheng Xu,Mohammed Atiquzzaman

  • Publisher : Springer Nature
  • Release : 2020-08-12
  • Pages : 1144
  • ISBN : 3030539806
  • Language : En, Es, Fr & De
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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
A Book

by Joshi, Ramesh C.,Gupta, Brij B.

  • Publisher : IGI Global
  • Release : 2019-08-30
  • Pages : 456
  • ISBN : 1522597441
  • Language : En, Es, Fr & De
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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
A Book

by Rehak, David,Bernatik, Ales,Dvorak, Zdenek,Hromada, Martin

  • Publisher : IGI Global
  • Release : 2020-04-17
  • Pages : 499
  • ISBN : 1799830608
  • Language : En, Es, Fr & De
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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.

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
SPIoT-2020, Volume 1

by John MacIntyre,Jinghua Zhao,Xiaomeng Ma

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 884
  • ISBN : 3030627438
  • Language : En, Es, Fr & De
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This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. 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