Cognitive Data Models for Sustainable Environment PDF Download

Author: Siddhartha Bhattacharyya
Publisher: Academic Press
ISBN: 0128240393
Category : Computers
Languages : en
Pages : 318

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Book Description
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

Author: Ramesh Chandra Poonia
Publisher: Academic Press
ISBN: 0323903622
Category : Computers
Languages : en
Pages : 408

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Book Description
The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309494117
Category : Technology & Engineering
Languages : en
Pages : 109

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Book Description
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.

Author: Seema Garg
Publisher: Springer Nature
ISBN: 3031277074
Category : Science
Languages : en
Pages : 483

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Book Description
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.

Author: Khanna, Virat
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 392

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Book Description
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.

Author: J. Saini
Publisher: IOS Press
ISBN: 1643682776
Category : Medical
Languages : en
Pages : 142

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Book Description
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.

Author: Steven Gray
Publisher: Springer
ISBN: 3319250531
Category : Technology & Engineering
Languages : en
Pages : 370

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Book Description
This volume brings together, in a central text, chapters written by leading scholars working at the intersection of modeling, the natural and social sciences, and public participation. This book presents the current state of knowledge regarding the theory and practice of engaging stakeholders in environmental modeling for decision-making, and includes basic theoretical considerations, an overview of methods and tools available, and case study examples of these principles and methods in practice. Although there has been a significant increase in research and development regarding participatory modeling, a unifying text that provides an overview of the different methodologies available to scholars and a systematic review of case study applications has been largely unavailable. This edited volume seeks to address a gap in the literature and provide a primer that addresses the growing demand to adopt and apply a range of modeling methods that includes the public in environmental assessment and management. The book is divided into two main sections. The first part of the book covers basic considerations for including stakeholders in the modeling process and its intersection with the theory and practice of public participation in environmental decision-making. The second part of the book is devoted to specific applications and products of the various methods available through case study examination. This second part of the book also provides insight from several international experts currently working in the field about their approaches, types of interactions with stakeholders, models produced, and the challenges they perceived based on their practical experiences.

Author: Ibrahim Yitmen
Publisher: CRC Press
ISBN: 1000918971
Category : Computers
Languages : en
Pages : 267

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Book Description
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.

Author: Biswajit Debnath
Publisher: CRC Press
ISBN: 1003804667
Category : Technology & Engineering
Languages : en
Pages : 125

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Book Description
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.

Author: National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Applied and Theoretical Statistics
Publisher:
ISBN: 9780309494120
Category : Big data
Languages : en
Pages : 94

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Book Description
"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