Cognitive Data Models for Sustainable Environment

Cognitive Data Models for Sustainable Environment

Author: Siddhartha Bhattacharyya

Publisher: Academic Press

Published: 2021-09-19

Total Pages: 318

ISBN-13: 0128240393

DOWNLOAD EBOOK

Cognitive Models for Sustainable Environment reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, along with a review of intelligent and cognitive tools that can be used. The book is centered on evolving novel intelligent/cognitive models and algorithms to develop sustainable solutions for the mitigation of environmental pollution. It unveils intelligent and cognitive models to address issues related to the effective monitoring of environmental pollution and sustainable environmental design. As such, the book focuses on the overall well-being of the global environment for better sustenance and livelihood. The book covers novel cognitive models for effective environmental pollution data management at par with the standards laid down by the World Health Organization. Every chapter is supported by real-life case studies, illustrative examples and video demonstrations that enlighten readers. Explores the development and application of science, engineering and technology in achieving a sustainable lifestyle for humanity Provides tools, connections and proactive solutions to take sustainability programs to the next level Offers perspectives for design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies of monitoring and mitigation of environmental pollution


Book Synopsis Cognitive Data Models for Sustainable Environment by : Siddhartha Bhattacharyya

Download or read book Cognitive Data Models for Sustainable Environment written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2021-09-19 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Models for Sustainable Environment reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, along with a review of intelligent and cognitive tools that can be used. The book is centered on evolving novel intelligent/cognitive models and algorithms to develop sustainable solutions for the mitigation of environmental pollution. It unveils intelligent and cognitive models to address issues related to the effective monitoring of environmental pollution and sustainable environmental design. As such, the book focuses on the overall well-being of the global environment for better sustenance and livelihood. The book covers novel cognitive models for effective environmental pollution data management at par with the standards laid down by the World Health Organization. Every chapter is supported by real-life case studies, illustrative examples and video demonstrations that enlighten readers. Explores the development and application of science, engineering and technology in achieving a sustainable lifestyle for humanity Provides tools, connections and proactive solutions to take sustainability programs to the next level Offers perspectives for design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies of monitoring and mitigation of environmental pollution


Enhancing Urban Sustainability with Data, Modeling, and Simulation

Enhancing Urban Sustainability with Data, Modeling, and Simulation

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2019-10-24

Total Pages: 109

ISBN-13: 0309494117

DOWNLOAD EBOOK

On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop.


Book Synopsis Enhancing Urban Sustainability with Data, Modeling, and Simulation by : National Academies of Sciences, Engineering, and Medicine

Download or read book Enhancing Urban Sustainability with Data, Modeling, and Simulation written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-10-24 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop.


Photocatalysis for Environmental Remediation and Energy Production

Photocatalysis for Environmental Remediation and Energy Production

Author: Seema Garg

Publisher: Springer Nature

Published: 2023-05-06

Total Pages: 483

ISBN-13: 3031277074

DOWNLOAD EBOOK

This book explores the modification of various synthesis processes to enhance the photocatalytic activity in varied applications in the fields of environmental remediation and energy production. It outlines the enhancement of photocatalytic activity via alloys synthesis, thin film coatings, electro-spun nanofibers and 3D printed photocatalysts. The book further states the diverse applications of materials for degrading organic pollutants and airborne pathogens, improving indoor air quality and as a potential antimicrobial agent. The application of photocatalysts in green organic synthesis, biomedical field and in hydrogen evolution are also presented in the book. It covers theoretical studies of photocatalytic material and conversion of CO2 to value added chemical feed stocks. The book is of relevance to researchers in academia and industry alike in the fields of material science, environmental science & technology, photocatalytic applications and in energy generation and conversion.


Book Synopsis Photocatalysis for Environmental Remediation and Energy Production by : Seema Garg

Download or read book Photocatalysis for Environmental Remediation and Energy Production written by Seema Garg and published by Springer Nature. This book was released on 2023-05-06 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the modification of various synthesis processes to enhance the photocatalytic activity in varied applications in the fields of environmental remediation and energy production. It outlines the enhancement of photocatalytic activity via alloys synthesis, thin film coatings, electro-spun nanofibers and 3D printed photocatalysts. The book further states the diverse applications of materials for degrading organic pollutants and airborne pathogens, improving indoor air quality and as a potential antimicrobial agent. The application of photocatalysts in green organic synthesis, biomedical field and in hydrogen evolution are also presented in the book. It covers theoretical studies of photocatalytic material and conversion of CO2 to value added chemical feed stocks. The book is of relevance to researchers in academia and industry alike in the fields of material science, environmental science & technology, photocatalytic applications and in energy generation and conversion.


Biomass-based Cosmetics

Biomass-based Cosmetics

Author: Enos Tangke Arung

Publisher: Springer Nature

Published:

Total Pages: 577

ISBN-13: 9819719089

DOWNLOAD EBOOK


Book Synopsis Biomass-based Cosmetics by : Enos Tangke Arung

Download or read book Biomass-based Cosmetics written by Enos Tangke Arung and published by Springer Nature. This book was released on with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Technological Applications of Nano-Hybrid Composites

Technological Applications of Nano-Hybrid Composites

Author: Khanna, Virat

Publisher: IGI Global

Published: 2024-01-25

Total Pages: 392

ISBN-13:

DOWNLOAD EBOOK

In the midst of our contemporary and swiftly evolving technological landscape, the pressing issue lies in the need for multifunctional materials that can transcend traditional boundaries and fuel innovation across diverse industries. This demand arises from the relentless pursuit of greater performance, efficiency, and adaptability in sectors ranging from electronics to aerospace, energy, and biomedical engineering. Academic scholars grapple with the challenge of comprehending and harnessing the untapped potential of nanomaterials with hybrid reinforcements, which represent a frontier in technological advancement. Technological Applications of Nano-Hybrid Composites comprehensively addresses this increasingly critical issue. Within its pages, this meticulously curated book embarks on a journey to explore the multifaceted aspects of nanocomposites, their hybrid reinforcements, and their significance in revolutionizing various technological domains. From the fundamental principles underpinning their design to the latest fabrication techniques and comprehensive characterization methods, this book offers a comprehensive roadmap to understanding and harnessing the unparalleled potential of these materials.


Book Synopsis Technological Applications of Nano-Hybrid Composites by : Khanna, Virat

Download or read book Technological Applications of Nano-Hybrid Composites written by Khanna, Virat and published by IGI Global. This book was released on 2024-01-25 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the midst of our contemporary and swiftly evolving technological landscape, the pressing issue lies in the need for multifunctional materials that can transcend traditional boundaries and fuel innovation across diverse industries. This demand arises from the relentless pursuit of greater performance, efficiency, and adaptability in sectors ranging from electronics to aerospace, energy, and biomedical engineering. Academic scholars grapple with the challenge of comprehending and harnessing the untapped potential of nanomaterials with hybrid reinforcements, which represent a frontier in technological advancement. Technological Applications of Nano-Hybrid Composites comprehensively addresses this increasingly critical issue. Within its pages, this meticulously curated book embarks on a journey to explore the multifaceted aspects of nanocomposites, their hybrid reinforcements, and their significance in revolutionizing various technological domains. From the fundamental principles underpinning their design to the latest fabrication techniques and comprehensive characterization methods, this book offers a comprehensive roadmap to understanding and harnessing the unparalleled potential of these materials.


Indoor Air Quality Assessment for Smart Environments

Indoor Air Quality Assessment for Smart Environments

Author: J. Saini

Publisher: IOS Press

Published: 2022-05-18

Total Pages: 142

ISBN-13: 1643682776

DOWNLOAD EBOOK

Indoor air quality (IAQ) and indoor air pollution (IAP) are a matter of concern in many countries because they can significantly influence the general health and well-being of those who spend most of their time inside, whether at home or work. Poor IAQ and repeated exposure to dangerous concentrations of pollutants can contribute significantly to the healthcare burden along with increased absenteeism and lost productivity worldwide. This book, Indoor Air Quality Assessment for Smart Environments, explores the problem of IAQ and highlights potential challenges, gaps, and opportunities in the field. As the title suggests, it focuses on assessing IAQ in smart environments using emerging technologies, such as the Internet of Things (IoT) and Wireless Sensor Networks (WSN), that can further contribute to the development of intelligent building management systems. The book contains 8 chapters, written by various experts in the field and addressing significant elements of IAQ management, including: definition, state-of-the-art and applications; sensing techniques; technological interventions and smart environments; smart monitoring devices; green and smart hospitals; health risks of nano building products; the optimization of household ventilation; and an assessment of smart environments. While providing a useful source of knowledge for researchers, policymakers, public health professionals and government agencies wishing to enhance the air quality in buildings, the book will also serve as a guide to building occupants who wish to take the necessary measures to enhance the built environment with improved ventilation arrangements.


Book Synopsis Indoor Air Quality Assessment for Smart Environments by : J. Saini

Download or read book Indoor Air Quality Assessment for Smart Environments written by J. Saini and published by IOS Press. This book was released on 2022-05-18 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Indoor air quality (IAQ) and indoor air pollution (IAP) are a matter of concern in many countries because they can significantly influence the general health and well-being of those who spend most of their time inside, whether at home or work. Poor IAQ and repeated exposure to dangerous concentrations of pollutants can contribute significantly to the healthcare burden along with increased absenteeism and lost productivity worldwide. This book, Indoor Air Quality Assessment for Smart Environments, explores the problem of IAQ and highlights potential challenges, gaps, and opportunities in the field. As the title suggests, it focuses on assessing IAQ in smart environments using emerging technologies, such as the Internet of Things (IoT) and Wireless Sensor Networks (WSN), that can further contribute to the development of intelligent building management systems. The book contains 8 chapters, written by various experts in the field and addressing significant elements of IAQ management, including: definition, state-of-the-art and applications; sensing techniques; technological interventions and smart environments; smart monitoring devices; green and smart hospitals; health risks of nano building products; the optimization of household ventilation; and an assessment of smart environments. While providing a useful source of knowledge for researchers, policymakers, public health professionals and government agencies wishing to enhance the air quality in buildings, the book will also serve as a guide to building occupants who wish to take the necessary measures to enhance the built environment with improved ventilation arrangements.


Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure

Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure

Author: Ibrahim Yitmen

Publisher: CRC Press

Published: 2023-07-17

Total Pages: 267

ISBN-13: 1000918971

DOWNLOAD EBOOK

This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing.


Book Synopsis Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure by : Ibrahim Yitmen

Download or read book Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure written by Ibrahim Yitmen and published by CRC Press. This book was released on 2023-07-17 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing.


Technological Advancement in E-waste Management

Technological Advancement in E-waste Management

Author: Biswajit Debnath

Publisher: CRC Press

Published: 2023-12-07

Total Pages: 125

ISBN-13: 1003804667

DOWNLOAD EBOOK

The theme of this book is sustainable e-waste management through effective amalgamation of information and communication technologies (ICT) and green recycling technologies to ensure development of intelligent, smart, and sustainable systems. It encompasses multidisciplinary interventions, including recent case studies from OEMs and IT industries as well as e-waste recyclers, and explores interdisciplinary research and industry–academia collaborations towards the development of smart and sustainable systems for e-waste management. Features: Covers the application of smart and intelligent systems for e-waste management. Explores recent advancements from the technological aspect – both recycling and ICT. Reviews supply chain criticalities for e-waste. Aims at cleaner production and intelligent systems for a green digital economy. Includes real-life case studies reflecting industry standards and the current paradigm. This book is aimed at graduate students and researchers in environmental engineering, waste management, urban mining, circular economy, waste processing, electronics and telecommunication engineering, electrical and electronics engineering, and chemical engineering.


Book Synopsis Technological Advancement in E-waste Management by : Biswajit Debnath

Download or read book Technological Advancement in E-waste Management written by Biswajit Debnath and published by CRC Press. This book was released on 2023-12-07 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theme of this book is sustainable e-waste management through effective amalgamation of information and communication technologies (ICT) and green recycling technologies to ensure development of intelligent, smart, and sustainable systems. It encompasses multidisciplinary interventions, including recent case studies from OEMs and IT industries as well as e-waste recyclers, and explores interdisciplinary research and industry–academia collaborations towards the development of smart and sustainable systems for e-waste management. Features: Covers the application of smart and intelligent systems for e-waste management. Explores recent advancements from the technological aspect – both recycling and ICT. Reviews supply chain criticalities for e-waste. Aims at cleaner production and intelligent systems for a green digital economy. Includes real-life case studies reflecting industry standards and the current paradigm. This book is aimed at graduate students and researchers in environmental engineering, waste management, urban mining, circular economy, waste processing, electronics and telecommunication engineering, electrical and electronics engineering, and chemical engineering.


Enhancing Urban Sustainability with Data, Modeling, and Simulation

Enhancing Urban Sustainability with Data, Modeling, and Simulation

Author: National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Applied and Theoretical Statistics

Publisher:

Published:

Total Pages: 94

ISBN-13: 9780309494120

DOWNLOAD EBOOK

"On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop"--Publisher's description


Book Synopsis Enhancing Urban Sustainability with Data, Modeling, and Simulation by : National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Applied and Theoretical Statistics

Download or read book Enhancing Urban Sustainability with Data, Modeling, and Simulation written by National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Applied and Theoretical Statistics and published by . This book was released on with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: "On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop"--Publisher's description


Sustainable Development Through Data Analytics and Innovation

Sustainable Development Through Data Analytics and Innovation

Author: Jorge Marx Gómez

Publisher: Springer Nature

Published: 2022-09-26

Total Pages: 195

ISBN-13: 3031125274

DOWNLOAD EBOOK

Sustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis. The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management.


Book Synopsis Sustainable Development Through Data Analytics and Innovation by : Jorge Marx Gómez

Download or read book Sustainable Development Through Data Analytics and Innovation written by Jorge Marx Gómez and published by Springer Nature. This book was released on 2022-09-26 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis. The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management.