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Data Science Applied to Sustainability Analysis

Data Science Applied to Sustainability Analysis
  • Author : Jennifer Dunn,Prasanna Balaprakash
  • Publisher :Unknown
  • Release Date :2020-11-01
  • Total pages :300
  • ISBN : 9780128179772
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Summary : Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery Includes considerations sustainability analysts must evaluate when applying big data Features case studies illustrating the application of data science in sustainability analyses

Computational Intelligent Data Analysis for Sustainable Development

Computational Intelligent Data Analysis for Sustainable Development
  • Author : Ting Yu,Nitesh Chawla,Simeon Simoff
  • Publisher :Unknown
  • Release Date :2016-04-19
  • Total pages :440
  • ISBN : 9781439895955
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Summary : Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present

Sustainability Analysis

Sustainability Analysis
  • Author : S. Shmelev,I. Shmeleva
  • Publisher :Unknown
  • Release Date :2012-01-27
  • Total pages :335
  • ISBN : 9780230362437
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Summary : Sustainability Analysis provides a detailed exploration of current environmental thinking from a variety of perspectives, including institutional and psychological angles. Primarily focusing on macroeconomic policies and green national accounting, this book provides a strong basis for further study in sustainable development.

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing
  • Author : Haldorai, Anandakumar,Ramu, Arulmurugan
  • Publisher :Unknown
  • Release Date :2019-09-20
  • Total pages :263
  • ISBN : 9781522597520
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Summary : Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Environmental Social Science

Environmental Social Science
  • Author : Emilio F. Moran
  • Publisher :Unknown
  • Release Date :2011-09-09
  • Total pages :232
  • ISBN : 9781444358278
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Summary : Environmental Social Science offers a new synthesis of environmental studies, defining the nature of human-environment interactions and providing the foundation for a new cross-disciplinary enterprise that will make critical theories and research methods accessible across the natural and social sciences. Makes key theories and methods of the social sciences available to biologists and other environmental scientists Explains biological theories and concepts for the social sciences community working on the environment Helps bridge one of the difficult divides in collaborative work in human-environment research Includes much-needed descriptions of how to carry out research that is multinational, multiscale, multitemporal, and multidisciplinary within a complex systems theory context

Big Data Science and Analytics for Smart Sustainable Urbanism

Big Data Science and Analytics for Smart Sustainable Urbanism
  • Author : Simon Elias Bibri
  • Publisher :Unknown
  • Release Date :2020-07-03
  • Total pages :337
  • ISBN : 3030173143
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Summary : We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Knowledge for Sustainable Development

Knowledge for Sustainable Development
  • Author : Unesco
  • Publisher :Unknown
  • Release Date :2002
  • Total pages :1226
  • ISBN : UOM:39015053026228
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Summary : This three volume set presents a multidisciplinary examination of the global life support systems on which we depend by providing a selection of articles on sustainable development issues written by international experts. Volume 1 focuses on the earth and atmospheric sciences, mathematical, biological and medical sciences, social sciences and humanities, physical sciences, engineering and technology resources. Volume 2 covers chemical sciences, energy science and water engineering, as well as the main issues related to environmental sciences and ecological resources. Volume 3 offers a comprehensive view of food and agricultural engineering resources, the management of human and natural resources, economic and institutional resources, information technology and systems management, as well as a regional overview of sustainable development issues. Each article includes a bibliography, a glossary and a guide to further information available as part of the on-line Encyclopedia version (http://www.eolss.net).

Applied Research in Environmental Economics

Applied Research in Environmental Economics
  • Author : Christoph Böhringer,Andreas Lange
  • Publisher :Unknown
  • Release Date :2006-03-30
  • Total pages :314
  • ISBN : 9783790816457
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Summary : Sustainable development, climate policy, biodiversity conservation – all these represent flash points at the intersection of environmental science, economics, and public policy. This volume offers a snapshot of environmental economic research on a range of policy-relevant problems. Academic contributions are complemented by the views of policy makers on environmental policy priorities, the usefulness of academic research for decision making, and the future of applied research.

Sustainable Development: Science, Ethics, and Public Policy

Sustainable Development: Science, Ethics, and Public Policy
  • Author : J. Lemons,Donald A. Brown
  • Publisher :Unknown
  • Release Date :2013-06-29
  • Total pages :284
  • ISBN : 9789401584920
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Summary : Of all the books written about the problems of sustainable development and environmental protection, Sustainable Development: Science, Ethics, and Public Policy is one of the first to examine the role of science, economics and law, and ethics as generally applied to decision making on sustainable development, particularly in respect to the recommendations contained in Agenda 21. Specifically, the book examines the role, capabilities, and certain strengths and weaknesses of these disciplines and their ethical implications in the context of sustainable development problems. Such an analysis is necessary to determine whether sustainable development problems create important new challenges and problems for government so that, where appropriate, new tools or approaches may be designed to overcome limitations or take advantage of the strengths of current scientific, economic and legal capabilities. Audience: Environmental professionals, whether academic, governmental or industrial, or in the private consultancy sector. Also suitable as an upper level text or reference.

Handbook of Sustainable Development Planning

Handbook of Sustainable Development Planning
  • Author : M. A. Quaddus,Muhammed Abu B. Siddique
  • Publisher :Unknown
  • Release Date :2004
  • Total pages :347
  • ISBN : UOM:39015059284086
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Summary : This authoritative Handbook comprehensively examines the current status and future directions of model-based systems in decision support and their application to sustainable development planning. It begins with a comprehensive review of model-based applications in sustainable development planning, paying particular attention to environmental disaster, ecosystem management, energy, infrastructure development, and agricultural systems, amongst other contemporary issues. Conceptual and policy oriented papers then debate the future directions of model-based sustainable development planning.Taking account of the fact that sustainable development planning is multidimensional by nature, the contributors concede that a single exemplary model does not exist. The aims of the stakeholders, along with preferences and priorities surrounding the planned objectives determine the ways and means of sustainable development planning. A number of tools - from simple intuition based approaches to sophisticated mathematical modelling - are therefore utilized within the Handbook. An important feature of the work is the emphasis on Decision Support Systems (DSS) and Group Decision Support Systems (GDSS) approaches - it is argued that these are natural and appropriate for sustainable development planning.Given the rise in prominence of sustainable development planning in recent years, this Handbook will be invaluable to a wide-ranging audience including NGOs, planners, consultants, policymakers, and academics.

Mechanical & Manufacturing Engineering

Mechanical & Manufacturing Engineering
  • Author : Al Emran Ismail,Ahmad Jais Alimin,Abdul Latif M. Tobi,Amir Khalid,Hasan Zuhudi Abdullah,Ibrahim Masood,Mohd Halim Irwan Ibrahim,Mohd Khir Mohd Nor,Mohd Sallehuddin Yusof,Saifulnizan Jamian,Salihatun Md Salleh,Waluyo Adi Siswanto,Wan Nur Azrina Wan Muhammad
  • Publisher :Unknown
  • Release Date :2013-04-10
  • Total pages :1050
  • ISBN : 9783038260165
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Summary : Selected, peer reviewed papers from the 3rd International Conference on Mechanical & Manufacturing Engineering 2012, November 20 – 21, 2012, Malaysia. The conference offers a platform for researchers, academicians, technologist, policy makers, industrialists and students to share, discuss and highlight their research findings particularly works that related to research and technological developments and knowledge transfers keeping in mind the main theme Sustainable Engineering towards Green Technology

Intelligent IoT Systems in Personalized Health Care

Intelligent IoT Systems in Personalized Health Care
  • Author : Arun Kumar Sangaiah,Subhas Chandra Mukhopadhyay
  • Publisher :Unknown
  • Release Date :2020-12-01
  • Total pages :360
  • ISBN : 9780128232040
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Summary : Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications. The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health. Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT Illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems Presents concepts and technologies successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data

Statistical Methods for Trend Detection and Analysis in the Environmental Sciences

Statistical Methods for Trend Detection and Analysis in the Environmental Sciences
  • Author : Richard Chandler,Marian Scott
  • Publisher :Unknown
  • Release Date :2011-03-25
  • Total pages :388
  • ISBN : 9781119991960
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Summary : The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the ever increasing capacity to collect and process vast amounts of environmental information has led to growing awareness that such procedures are limited in the insights that they can deliver. At the same time, significant developments in statistical methodology have often been widely dispersed in the statistical literature and have therefore received limited exposure in the environmental science community. This book aims to provide a thorough but accessible review of these developments. It is split into two parts: the first provides an introduction to this area and the second part presents a collection of case studies illustrating the practical application of modern statistical approaches to the analysis of trends in real studies. Key Features: Presents a thorough introduction to the practical application and methodology of trend analysis in environmental science. Explores non-parametric estimation and testing as well as parametric techniques. Methods are illustrated using case studies from a variety of environmental application areas. Looks at trends in all aspects of a process including mean, percentiles and extremes. Supported by an accompanying website featuring datasets and R code. The book is designed to be accessible to readers with some basic statistical training, but also contains sufficient detail to serve as a reference for practising statisticians. It will therefore be of use to postgraduate students and researchers both in the environmental sciences and in statistics.

Quantitative Eco-nomics

Quantitative Eco-nomics
  • Author : Peter Bartelmus
  • Publisher :Unknown
  • Release Date :2008-04-19
  • Total pages :329
  • ISBN : 1402069669
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Summary : This thought-provoking and colorful book cuts through the fog of vision and advocacy by comparing and applying new quantitative tools of both environmental and ecological economics. Environmental accounts and empirical analyses provide operational concepts and measures of the sustainability of economic performance and growth. The text raises doubts, however, about the measurability of sustainable development. Further reading sections are provided at the end of each chapter.

Managing Data Science

Managing Data Science
  • Author : Kirill Dubovikov
  • Publisher :Unknown
  • Release Date :2019-11-12
  • Total pages :290
  • ISBN : 9781838824563
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Summary : Understand data science concepts and methodologies to manage and deliver top-notch solutions for your organization Key Features Learn the basics of data science and explore its possibilities and limitations Manage data science projects and assemble teams effectively even in the most challenging situations Understand management principles and approaches for data science projects to streamline the innovation process Book Description Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis. What you will learn Understand the underlying problems of building a strong data science pipeline Explore the different tools for building and deploying data science solutions Hire, grow, and sustain a data science team Manage data science projects through all stages, from prototype to production Learn how to use ModelOps to improve your data science pipelines Get up to speed with the model testing techniques used in both development and production stages Who this book is for This book is for data scientists, analysts, and program managers who want to use data science for business productivity by incorporating data science workflows efficiently. Some understanding of basic data science concepts will be useful to get the most out of this book.

Biorefineries and Chemical Processes

Biorefineries and Chemical Processes
  • Author : Jhuma Sadhukhan,Kok Siew Ng,Elias Martinez Hernandez
  • Publisher :Unknown
  • Release Date :2014-08-25
  • Total pages :680
  • ISBN : 9781118698167
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Summary : As the range of feedstocks, process technologies and products expand, biorefineries will become increasingly complex manufacturing systems. Biorefineries and Chemical Processes: Design, Integration and Sustainability Analysis presents process modelling and integration, and whole system life cycle analysis tools for the synthesis, design, operation and sustainable development of biorefinery and chemical processes. Topics covered include: Introduction: An introduction to the concept and development of biorefineries. Tools: Included here are the methods for detailed economic and environmental impact analyses; combined economic value and environmental impact analysis; life cycle assessment (LCA); multi-criteria analysis; heat integration and utility system design; mathematical programming based optimization and genetic algorithms. Process synthesis and design: Focuses on modern unit operations and innovative process flowsheets. Discusses thermochemical and biochemical processing of biomass, production of chemicals and polymers from biomass, and processes for carbon dioxide capture. Biorefinery systems: Presents biorefinery process synthesis using whole system analysis. Discusses bio-oil and algae biorefineries, integrated fuel cells and renewables, and heterogeneous catalytic reactors. Companion website: Four case studies, additional exercises and examples are available online, together with three supplementary chapters which address waste and emission minimization, energy storage and control systems, and the optimization and reuse of water. This textbook is designed to bridge a gap between engineering design and sustainability assessment, for advanced students and practicing process designers and engineers.

Essential Environmental Science

Essential Environmental Science
  • Author : Edward A. Keller,Daniel B. Botkin
  • Publisher :Unknown
  • Release Date :2008
  • Total pages :454
  • ISBN : STANFORD:36105124088258
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Summary : Essential Environmental Science provides a non-quantitative approach that is based on principles, critical thinking and the big questions that are driving the field today. It offers a condensed look at the field, covering topics in way that will help readers answer the "big questions." It eliminates more detailed or advanced topics to make the material more accessible while also placing the focus on today's important issues.

Data-Driven Modeling for Sustainable Engineering

Data-Driven Modeling for Sustainable Engineering
  • Author : Kondo H. Adjallah,Babiga Birregah,Henry Fonbeyin Abanda
  • Publisher :Unknown
  • Release Date :2019-08-13
  • Total pages :425
  • ISBN : 9783030136970
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Summary : This book gathers the proceedings of the 1st International Conference on Engineering, Applied Sciences and System Modeling (ICEASSM), a four-day event (18th–21st April 2017) held in Accra, Ghana. It focuses on research work promoting a better understanding of engineering problems through applied sciences and modeling, and on solutions generated in an African setting but with relevance to the world as a whole. The book provides a holistic overview of challenges facing Africa, and addresses various areas from research and development perspectives. Presenting contributions by scientists, engineers and experts hailing from a host of international institutions, the book offers original approaches and technological solutions to help solve real-world problems through research and knowledge sharing. Further, it explores promising opportunities for collaborative research on issues of scientific, economic and social development, making it of interest to researchers, scientists and practitioners looking to conduct research in disciplines such as water supply, control, civil engineering, statistical modeling, renewable energy and sustainable urban development.

Environmental Information Management And Analysis

Environmental Information Management And Analysis
  • Author : W K Michener,J W Brunt,S G Stafford
  • Publisher :Unknown
  • Release Date :1994-08-08
  • Total pages :516
  • ISBN : 0748401237
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Summary : Most environmental studies are based upon data collected at fine spatial scales plots, sediments, cores, etc.. Furthermore, temporal scales of these studies have been relatively short days, weeks, months and few studies have exceeded three years duration the typical funding cycle.; Despite this history, environmental scientists are now being called upon to extrapolate findings from "plot-level" studies to broader spatial scales and from short-term studies to longer temporal scales, up to decades for questions related to long-term processes such as global warming and the rise in sea level.; The complex questions being addressed internationally require that scientists take advantage of new technologies including remote sensing, geographic information systems GIS, and powerful climatic and environmental simulation models. As more environmental scientists begin to work at these broader spatial and temporal scales, and to utilize many of the newer technologies, they are recognising a whole new class of problems.; This book aims to address the most pertinent issues, and includes a comprehensive review of selected topics, case studies, and theoretical discussions, divided into seven sections each preceded by a brief introduction.

Cost-Benefit Analysis of Environmental Goods by Applying Contingent Valuation Method

Cost-Benefit Analysis of Environmental Goods by Applying Contingent Valuation Method
  • Author : Uddin Sarwar Ahmed,Keinosuke Gotoh
  • Publisher :Unknown
  • Release Date :2007-12-14
  • Total pages :159
  • ISBN : 443128950X
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Summary : Contingent valuation is one of the means of incorporating socio-environmental considerations in cost–benefit analysis. The authors of this book have examined environmental valuation methods through the lens of cost–benefit analysis focused on three case studies in Japan: public parks, a bay wetland, and a recreational theme park. With implications for the world at large, the findings presented here serve as a valuable source of information on Japanese behavior regarding the valuation of environmental goods. New, alternative approaches and guidelines for cost–benefit analysis in the public and private spheres also are discussed. This volume makes an important addition to the library of all researchers and other scientists in the fields of environmental science and environmental economics.

Data Analytics: Paving the Way to Sustainable Urban Mobility

Data Analytics: Paving the Way to Sustainable Urban Mobility
  • Author : Eftihia G. Nathanail,Ioannis D. Karakikes
  • Publisher :Unknown
  • Release Date :2018-12-11
  • Total pages :868
  • ISBN : 9783030023058
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Summary : This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility