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This book constitutes the refereed proceedings of the 13th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2020, held in Wageningen, The Netherlands, in February 2020. The 22 full papers and 3 short papers were carefully reviewed and selected from 29 submissions. The papers cover a wide range of topics on environmental informatics, including data mining, artificial intelligence, high performance and cloud computing, visualization and smart sensing for environmental, earth, agricultural and food applications.
Book Synopsis Environmental Software Systems. Data Science in Action by : Ioannis N. Athanasiadis
Download or read book Environmental Software Systems. Data Science in Action written by Ioannis N. Athanasiadis and published by Springer Nature. This book was released on 2020-01-29 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2020, held in Wageningen, The Netherlands, in February 2020. The 22 full papers and 3 short papers were carefully reviewed and selected from 29 submissions. The papers cover a wide range of topics on environmental informatics, including data mining, artificial intelligence, high performance and cloud computing, visualization and smart sensing for environmental, earth, agricultural and food applications.
” Technology is manmade to address human needs” “Can the world sustain current economic growth?” “Natural Greenhouse Effect warms Earth by 33C” ” Land degradation have been cumulative over time” “World population may reach 1 trillion by 9000 CE” “Earth is subject to all forces imposed by the universe” “Plastic pollution is a very serious environmental issue” “Global water movements spreads pollutants all over world” “Climate changes are due to natural causes and human activities” “The polluted air is not confined by regional or national boundaries” “Effects of technology on the environment can be direct and indirect” “Today’s technologies are collective products of thousands of people” “Prior to 19th century almost all energy used by humans was renewable” “Until 20th century, the knowledge on the environment was severely limited” “Technologies acted as catalyst to change the social settings and structures” “Environmental instrumentation science helps to collect reliable information” “Human use of natural resources raises questions on their future availability” “Overexploitation throughout the history resulted in extinction of many species” “Environmental laws, rules, and regulations may be misinterpreted and misused” “Technology is helping human activities from environmentally harmful practices” “Humans need to learn living within the laws of the nature and the laws of universe” “There are environmental activities in collaborative, cooperative, and good will manner” “Voluntary and noncommercial organization constitute major environmental movements” “Humans can no longer afford to deteriorate the environment and let the carpet slip below their feet”
Book Synopsis Impact of Technology on Environment: Climate Change and Instrumentation by : Halit Eren PhD MBA
Download or read book Impact of Technology on Environment: Climate Change and Instrumentation written by Halit Eren PhD MBA and published by Xlibris Corporation. This book was released on 2022-03-21 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: ” Technology is manmade to address human needs” “Can the world sustain current economic growth?” “Natural Greenhouse Effect warms Earth by 33C” ” Land degradation have been cumulative over time” “World population may reach 1 trillion by 9000 CE” “Earth is subject to all forces imposed by the universe” “Plastic pollution is a very serious environmental issue” “Global water movements spreads pollutants all over world” “Climate changes are due to natural causes and human activities” “The polluted air is not confined by regional or national boundaries” “Effects of technology on the environment can be direct and indirect” “Today’s technologies are collective products of thousands of people” “Prior to 19th century almost all energy used by humans was renewable” “Until 20th century, the knowledge on the environment was severely limited” “Technologies acted as catalyst to change the social settings and structures” “Environmental instrumentation science helps to collect reliable information” “Human use of natural resources raises questions on their future availability” “Overexploitation throughout the history resulted in extinction of many species” “Environmental laws, rules, and regulations may be misinterpreted and misused” “Technology is helping human activities from environmentally harmful practices” “Humans need to learn living within the laws of the nature and the laws of universe” “There are environmental activities in collaborative, cooperative, and good will manner” “Voluntary and noncommercial organization constitute major environmental movements” “Humans can no longer afford to deteriorate the environment and let the carpet slip below their feet”
Building the Future of Food Safety Technology: Blockchain and Beyond focuses on evaluating, developing, testing and predicting Blockchain’s impact on the food industry, the types of regulatory compliance needed, and other topics important pertaining to consumers. Blockchain is a technology that can be used to record transactions from multiple entities across a complex network. A record on a blockchain cannot be altered retroactively without the alteration of all preceding blocks and the consensus of the network. Blockchain is often associated with cryptocurrency, but it is being looked at more and more as a solution to food-supply problems. Presents the latest information on Blockchain’s impact in the food industry Bridges food technology and food safety Provides guidance and expert insights on the food supply chain
Book Synopsis Building the Future of Food Safety Technology by : Darin Detwiler
Download or read book Building the Future of Food Safety Technology written by Darin Detwiler and published by Academic Press. This book was released on 2020-06-16 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building the Future of Food Safety Technology: Blockchain and Beyond focuses on evaluating, developing, testing and predicting Blockchain’s impact on the food industry, the types of regulatory compliance needed, and other topics important pertaining to consumers. Blockchain is a technology that can be used to record transactions from multiple entities across a complex network. A record on a blockchain cannot be altered retroactively without the alteration of all preceding blocks and the consensus of the network. Blockchain is often associated with cryptocurrency, but it is being looked at more and more as a solution to food-supply problems. Presents the latest information on Blockchain’s impact in the food industry Bridges food technology and food safety Provides guidance and expert insights on the food supply chain
This book contains the best papers accepted for presentation at the 3rd Springer Conference of the Arabian Journal of Geosciences (CAJG-3). The book is divided into three parts to distinguish research studies from the fields of (1) geological and geotechnical engineering, (2) geomechanical studies based on numerical and analytical methods, and (3) geo-informatics and remote sensing. The content of these papers provides new scientific knowledge for further understanding on landslides, new stabilization techniques, importance of geophysics for engineering geology investigations as well as new empirical approaches for easily predicting some physical and hydrogeomechanical properties of geomaterials. It also sheds the light on usage of different remote sensing technologies, mapping techniques in a geographic information systems environment along with some advanced signal processing, and deep learning approaches. The book is of interest to all researchers, practitioners, and students in the fields of geological and mining engineering, geotechnical engineering, hydrogeomechanics, engineering geology, geotechnologies, groundwater and natural hazards, and analyses of some emerging earth processes and environmental variabilities.
Book Synopsis Selected Studies in Geotechnics, Geo-informatics and Remote Sensing by : Zeynal Abiddin Ergüler
Download or read book Selected Studies in Geotechnics, Geo-informatics and Remote Sensing written by Zeynal Abiddin Ergüler and published by Springer Nature. This book was released on 2023-12-09 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the best papers accepted for presentation at the 3rd Springer Conference of the Arabian Journal of Geosciences (CAJG-3). The book is divided into three parts to distinguish research studies from the fields of (1) geological and geotechnical engineering, (2) geomechanical studies based on numerical and analytical methods, and (3) geo-informatics and remote sensing. The content of these papers provides new scientific knowledge for further understanding on landslides, new stabilization techniques, importance of geophysics for engineering geology investigations as well as new empirical approaches for easily predicting some physical and hydrogeomechanical properties of geomaterials. It also sheds the light on usage of different remote sensing technologies, mapping techniques in a geographic information systems environment along with some advanced signal processing, and deep learning approaches. The book is of interest to all researchers, practitioners, and students in the fields of geological and mining engineering, geotechnical engineering, hydrogeomechanics, engineering geology, geotechnologies, groundwater and natural hazards, and analyses of some emerging earth processes and environmental variabilities.
This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical.
Book Synopsis Data Spaces by : Edward Curry
Download or read book Data Spaces written by Edward Curry and published by Springer Nature. This book was released on 2022-09-08 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical.
Food Safety Management: A Practical Guide for the Food Industry, Second Edition continues to present a comprehensive, integrated and practical approach to the management of food safety throughout the production chain. While many books address specific aspects of food safety, no other book guides you through the various risks associated with each sector of the production process or alerts you to the measures needed to mitigate those risks. This new edition provides practical examples of incidents and their root causes, highlighting pitfalls in food safety management and providing key insights into different means for avoiding them. Each section addresses its subject in terms of relevance and application to food safety and, where applicable, spoilage. The book covers all types of risks (e.g., microbial, chemical, physical) associated with each step of the food chain, making it an ideal resource. Addresses risks and controls at various stages of the food supply chain based on food type, including a generic HACCP study and new information on FSMA Covers the latest emerging technologies for ensuring food safety Includes observations on what works and what doesn't on issues in food safety management Provides practical guidelines for the implementation of elements of the food safety assurance system Explains the role of different stakeholders of the food supply
Book Synopsis Food Safety Management by : Veslemøy Andersen
Download or read book Food Safety Management written by Veslemøy Andersen and published by Academic Press. This book was released on 2023-03-28 with total page 1160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Food Safety Management: A Practical Guide for the Food Industry, Second Edition continues to present a comprehensive, integrated and practical approach to the management of food safety throughout the production chain. While many books address specific aspects of food safety, no other book guides you through the various risks associated with each sector of the production process or alerts you to the measures needed to mitigate those risks. This new edition provides practical examples of incidents and their root causes, highlighting pitfalls in food safety management and providing key insights into different means for avoiding them. Each section addresses its subject in terms of relevance and application to food safety and, where applicable, spoilage. The book covers all types of risks (e.g., microbial, chemical, physical) associated with each step of the food chain, making it an ideal resource. Addresses risks and controls at various stages of the food supply chain based on food type, including a generic HACCP study and new information on FSMA Covers the latest emerging technologies for ensuring food safety Includes observations on what works and what doesn't on issues in food safety management Provides practical guidelines for the implementation of elements of the food safety assurance system Explains the role of different stakeholders of the food supply
The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.
Book Synopsis Data Science for Entrepreneurship by : Werner Liebregts
Download or read book Data Science for Entrepreneurship written by Werner Liebregts and published by Springer Nature. This book was released on 2023-03-23 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.
This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.
Book Synopsis Process Mining by : Wil M. P. van der Aalst
Download or read book Process Mining written by Wil M. P. van der Aalst and published by Springer. This book was released on 2016-04-15 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.
This book constitutes the refereed proceedings of the 12th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2017, held in Zadar, Croatia, in May 2017. The 35 revised full papers presented together with 4 keynote lectures were carefully reviewed and selected from 46 submissions. The papers deal with environmental challenges and try to provide solutions using forward-looking and leading-edge IT technology. They are organized in the following topical sections: air and climate; water and hydrosphere; health and biosphere; risk and disaster management; information systems; and modelling, visualization and decision support.
Book Synopsis Environmental Software Systems. Computer Science for Environmental Protection by : Jiří Hřebíček
Download or read book Environmental Software Systems. Computer Science for Environmental Protection written by Jiří Hřebíček and published by Springer. This book was released on 2018-04-24 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2017, held in Zadar, Croatia, in May 2017. The 35 revised full papers presented together with 4 keynote lectures were carefully reviewed and selected from 46 submissions. The papers deal with environmental challenges and try to provide solutions using forward-looking and leading-edge IT technology. They are organized in the following topical sections: air and climate; water and hydrosphere; health and biosphere; risk and disaster management; information systems; and modelling, visualization and decision support.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John
Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
