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Process Safety And Big Data

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Process Safety and Big Data

Process Safety and Big Data Book
Author : Sagit Valeev,Natalya Kondratyeva
Publisher : Elsevier
Release : 2021-03-15
ISBN : 9780128220665
Language : En, Es, Fr & De

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Book Description :

Process Safety and Big Data discusses the principles of process safety and advanced information technologies, explaining its application to the process industry and providing examples of applications in process safety control and decision support systems. The book helps address problems that researchers face as the result of increased process complexity. The book shows ways to tackle 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 the control and management of process safety in industry. In addition, the book considers indicators and criteria in effective safety decision, helps safety managers understand how to make effective safety decisions, addresses the issue of how big data provides support for (autonomous) improved data-driven decisions, and provides indicators and criteria for big data in process safety. 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 Provides examples on how AI is applied in the contextualization of data streams that are monitored to improve safety performance Applies big data technologies to process safety Includes case studies at the end of the book

Methods in Chemical Process Safety

Methods in Chemical Process Safety Book
Author : N.A
Publisher : Academic Press
Release : 2020-06-26
ISBN : 0128218258
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Waddah S. Ghanem Al Hashmi
Publisher : Butterworth-Heinemann
Release : 2020-11-13
ISBN : 0128181109
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Martinetti, Alberto,Demichela, Micaela,Singh, Sarbjeet
Publisher : IGI Global
Release : 2020-06-26
ISBN : 1799839052
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Plamen Angelov,Yannis Manolopoulos,Lazaros Iliadis,Asim Roy,Marley Vellasco
Publisher : Springer
Release : 2016-10-20
ISBN : 3319478982
Language : En, Es, Fr & De

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Book Description :

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.

Big Data Data Mining and Machine Learning

Big Data  Data Mining  and Machine Learning Book
Author : Jared Dean
Publisher : John Wiley & Sons
Release : 2014-05-07
ISBN : 1118920708
Language : En, Es, Fr & De

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Book Description :

With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.

Analytics and Big Data The Davenport Collection 6 Items

Analytics and Big Data  The Davenport Collection  6 Items  Book
Author : Thomas H. Davenport,Jeanne G. Harris
Publisher : Harvard Business Review Press
Release : 2014-08-12
ISBN : 1625277741
Language : En, Es, Fr & De

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Book Description :

The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics.

Advances in Multimedia Software Engineering and Computing Vol 2

Advances in Multimedia  Software Engineering and Computing Vol 2 Book
Author : David Jin,Song Lin
Publisher : Springer Science & Business Media
Release : 2011-11-23
ISBN : 3642259863
Language : En, Es, Fr & De

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Book Description :

MSEC2011 is an integrated conference concentrating its focus upon Multimedia, Software Engineering, Computing and Education. In the proceeding, you can learn much more knowledge about Multimedia, Software Engineering ,Computing and Education of researchers all around the world. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned field. In order to meet high standard of Springer, AISC series ,the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organization had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful.

Oracle Big Data Handbook

Oracle Big Data Handbook Book
Author : Tom Plunkett,Brian Macdonald,Bruce Nelson,Mark Hornick,Helen Sun,Khader Mohiuddin,Debra Harding,Gokula Mishra,Robert Stackowiak,Keith Laker,David Segleau
Publisher : McGraw Hill Professional
Release : 2013-10-06
ISBN : 0071827277
Language : En, Es, Fr & De

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Book Description :

Transform Big Data into Insight "In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop Cowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings. Best practices for migrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included in this Oracle Press guide. Understand the value of a comprehensive big data strategy Maximize the distributed processing power of the Apache Hadoop platform Discover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop and Oracle NoSQL Database Configure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data Appliance Integrate your existing data warehousing and analytics infrastructure into a big data architecture Share data among Hadoop and relational databases using Oracle Big Data Connectors Understand how Oracle NoSQL Database integrates into the Oracle Big Data architecture Deliver faster time to value using in-database analytics Analyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop Analyze disparate data with Oracle Endeca Information Discovery Plan and implement a big data governance strategy and develop an architecture and roadmap

Analytics in a Big Data World

Analytics in a Big Data World Book
Author : Bart Baesens
Publisher : John Wiley & Sons
Release : 2014-04-15
ISBN : 1118892747
Language : En, Es, Fr & De

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Book Description :

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

Handbook of Chemical Compound Data for Process Safety

Handbook of Chemical Compound Data for Process Safety Book
Author : Carl L. Yaws
Publisher : Gulf Professional Publishing
Release : 1997-04-08
ISBN :
Language : En, Es, Fr & De

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Book Description :

Ch. 1. Physical Properties; Ch. 2. Vapor Pressure; Ch. 3. Explosive Limits in Air -- Ch. 4. Flash Point and Autoignition Temperature; Ch. 5. Enthalpy of Combustion; Ch. 6. Exposure Limits for Health; Ch. 7. Coefficient of Thermal Expansion; Ch. 8. Thermodynamic Properties for Explosion Calculations -- App. A. Conversion Tables; App. B. Thermodynamic Properties for Explosion Calculations -- Inorganic Compounds; App. C. Exposure Limits for Health -- Inorganic Compounds; App. D. Vapor Pressure -- Inorganic Compounds -- App. E. Physical Properties -- Inorganic Compounds.

Intelligence Science and Big Data Engineering

Intelligence Science and Big Data Engineering Book
Author : Changyin Sun,Fang Fang,Zhi-Hua Zhou,Wankou Yang,Zhiyong Liu
Publisher : Springer
Release : 2013-11-18
ISBN : 3642420575
Language : En, Es, Fr & De

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Book Description :

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013, held in Beijing, China, in July/August 2013. The 111 papers presented were carefully peer-reviewed and selected from 390 submissions. Topics covered include information theoretic and Bayesian approaches; probabilistic graphical models; pattern recognition and computer vision; signal processing and image processing; machine learning and computational intelligence; neural networks and neuro-informatics; statistical inference and uncertainty reasoning; bioinformatics and computational biology and speech recognition and natural language processing.

People Analytics in the Era of Big Data

People Analytics in the Era of Big Data Book
Author : Jean Paul Isson,Jesse S. Harriott
Publisher : John Wiley & Sons
Release : 2016-04-25
ISBN : 1119050782
Language : En, Es, Fr & De

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Book Description :

Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed full of actionable insights to help you source, recruit, acquire, engage, retain, promote, and manage the exceptional talent your organization needs. With a unique approach that applies analytics to every stage of the hiring process and the entire workforce planning and management cycle, this informative guide provides the key perspective that brings analytics into HR in a truly useful way. You're already inundated with disparate employee data, so why not mine that data for insights that add value to your organization and strengthen your workforce? This book presents a practical framework for real-world talent analytics, backed by groundbreaking examples of workforce analytics in action across the U.S., Canada, Europe, Asia, and Australia. Leverage predictive analytics throughout the hiring process Utilize analytics techniques for more effective workforce management Learn how people analytics benefits organizations of all sizes in various industries Integrate analytics into HR practices seamlessly and thoroughly Corporate executives need fact-based insights into what will happen with their talent. Who should you hire? Who should you promote? Who are the top or bottom performers, and why? Who is at risk to quit, and why? Analytics can provide these answers, and give you insights based on quantifiable data instead of gut feeling and subjective assessment. People Analytics in the Era of Big Data is the essential guide to optimizing your workforce with the tools already at your disposal.

International Process Safety Management Conference and Workshop

International Process Safety Management Conference and Workshop Book
Author : N.A
Publisher : Amer Inst of Chemical Engineers
Release : 1993
ISBN : 9780816905898
Language : En, Es, Fr & De

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Book Description :

The proceedings of the conference and workshop held in San Francisco, September 1993, comprise 25 papers, two workshops, and 12 posters. Among the paper topics: planning guidelines for acute risk management the Canadian chemical industry experience; a review of the role of cost-benefit analysis as a

Strategic Engineering for Cloud Computing and Big Data Analytics

Strategic Engineering for Cloud Computing and Big Data Analytics Book
Author : Amin Hosseinian-Far,Muthu Ramachandran,Dilshad Sarwar
Publisher : Springer
Release : 2017-03-15
ISBN : 3319524917
Language : En, Es, Fr & De

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Book Description :

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.

International Conference and Workshop on Risk Analysis in Process Safety

International Conference and Workshop on Risk Analysis in Process Safety Book
Author : N.A
Publisher : Amer Inst of Chemical Engineers
Release : 1997
ISBN :
Language : En, Es, Fr & De

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Book Description :

Comprises papers from a conference, held in October 1997, and co-sponsored by the US Environmental Protection Agency (USEPA), UK Health and Safety Executive, and European Federation of Chemical Engineering. The text concentrates on the current state of risk assessment as perceived from a broad selection of industry and regulatory viewpoints, and introduces discussion of the recent USEPA Risk Management Program interpretation tools.

Industrial Engineering in the Big Data Era

Industrial Engineering in the Big Data Era Book
Author : Fethi Calisir,Emre Cevikcan,Hatice Camgoz Akdag
Publisher : Springer
Release : 2019-01-23
ISBN : 3030033171
Language : En, Es, Fr & De

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Book Description :

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.

Guidelines for Process Equipment Reliability Data with Data Tables

Guidelines for Process Equipment Reliability Data  with Data Tables Book
Author : American Institute of Chemical Engineers. Center for Chemical Process Safety,CCPS (Center for Chemical Process Safety)
Publisher : Wiley-AIChE
Release : 1989-02-15
ISBN :
Language : En, Es, Fr & De

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Book Description :

The book supplements Guidelines for Chemical Process Quantitative Risk Analysis by providing the failure rate data needed to perform a chemical process quantitative risk analysis.

Advances in Communication Cloud and Big Data

Advances in Communication  Cloud  and Big Data Book
Author : Hiren Kumar Deva Sarma,Samarjeet Borah,Nitul Dutta
Publisher : Springer
Release : 2018-06-15
ISBN : 9811089116
Language : En, Es, Fr & De

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Book Description :

This book is an outcome of the second national conference on Communication, Cloud and Big Data (CCB) held during November 10-11, 2016 at Sikkim Manipal Institute of Technology. The nineteen chapters of the book are some of the accepted papers of CCB 2016. These chapters have undergone review process and then subsequent series of improvements. The book contains chapters on various aspects of communication, computation, cloud and big data. Routing in wireless sensor networks, modulation techniques, spectrum hole sensing in cognitive radio networks, antenna design, network security, Quality of Service issues in routing, medium access control protocol for Internet of Things, and TCP performance over different routing protocols used in mobile ad-hoc networks are some of the topics discussed in different chapters of this book which fall under the domain of communication. Moreover, there are chapters in this book discussing topics like applications of geographic information systems, use of radar for road safety, image segmentation and digital media processing, web content management system, human computer interaction, and natural language processing in the context of Bodo language. These chapters may fall under broader domain of computation. Issues like robot navigation exploring cloud technology, and application of big data analytics in higher education are also discussed in two different chapters. These chapters fall under the domains of cloud and big data, respectively.