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This book explores the big data evolution by interrogating the notion that big data is a disruptive innovation that appears to be challenging existing epistemologies in the humanities and social sciences. Exploring various (controversial) facets of big data such as ethics, data power, and data justice, the book attempts to clarify the trajectory of the epistemology of (big) data-driven science in the humanities and social sciences.

Sociology & anthropology --- big data --- data storage --- statistical analysis --- digital revolution --- social sciences --- data generation --- data acquisition --- data analysis --- data science

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Data acquisition systems have numerous applications. This book has a total of 13 chapters and is divided into three sections: Industrial applications, Medical applications and Scientific experiments. The chapters are written by experts from around the world, while the targeted audience for this book includes professionals who are designers or researchers in the field of data acquisition systems. Faculty members and graduate students could also benefit from the book.

Automatic data collection systems. --- Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Automation --- Communication in management --- Data transmission systems --- Cybernetics & systems theory

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Over the decades, small-angle neutron scattering has became a definitive method for structural investigation on the mesoscale between a few Angstrom up to a few 100 nm. This makes it an indispensable tool for non-destructive material investigations in fields ranging from chemistry and biology, over material sciences to solid state physics, especially taking into account the fundamental nature of neutrons, which makes it possible to probe different isotopes and, therefore, enhance contrast by choosing an appropriate isotope distribution or to probe the spin state of the investigated materials. This Special Issue is dedicated to elucidate the advances made with SANS over the last few years, which includes new instrumentation, sample environment and experimental control, as well as novel approaches and experimental techniques. The ideas and approaches collected here will serve both the experienced experimenter as well as the novice to appraise whether their specific experimental setup is feasible with new ideas.

SANS --- neutron scattering --- instrument control --- data acquisition --- user facility --- GUI --- simulation --- GISANS --- BornAgain Software --- grazing incidence scattering --- small-angle neutron scattering --- SKADI --- ESS --- European Spallation Source --- sample environment --- 3D printed --- humidity chamber --- thin films --- dynamic light scattering --- small angle neutron scattering --- instrumentation --- microgels --- ultra-small-angle neutron scattering --- magnetoactive elastomer --- magnetorheological elastomer --- hysteresis --- restructuring of the filler --- foams --- colloidal superballs --- colloidal monolayers --- SAXS --- scattering --- form factor --- FTIR --- DLS --- semi-crystalline polymers --- proteins in buffer solution --- soft matter --- time-resolved --- sample environments --- small angle X-ray scattering --- SAS --- nanomaterials --- n/a

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The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but across the cloud-to-edge continuum, is introducing new challenges for managing applications and infrastructure across this continuum. The scale and complexity is simply so complex that it is no longer realistic for IT teams to manually foresee the potential issues and manage the dynamism and dependencies across an increasing inter-dependent chain of service provision. This Open Access Pivot explores these challenges and offers a solution for the intelligent and reliable management of physical infrastructure and the optimal placement of applications for the provision of services on distributed clouds. This book provides a conceptual reference model for reliable capacity provisioning for distributed clouds and discusses how data analytics and machine learning, application and infrastructure optimization, and simulation can deliver quality of service requirements cost-efficiently in this complex feature space. These are illustrated through a series of case studies in cloud computing, telecommunications, big data analytics, and smart cities. .

Management. --- Industrial management. --- E-commerce. --- Computer engineering. --- Innovation/Technology Management. --- e-Commerce/e-business. --- Computer Engineering. --- Computers --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing --- Commerce --- Information superhighway --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management --- Business --- Industrial organization --- Administration --- Industrial relations --- Organization --- Design and construction --- Innovation/Technology Management --- e-Commerce/e-business --- Computer Engineering --- Business and Management --- e-Commerce and e-Business --- Computer Hardware --- Analytics Models --- Data Acquisition --- Application Optimisation --- Infrastructure --- Distributed Clouds --- digital business --- Research & development management --- Industrial applications of scientific research & technological innovation --- Business applications --- E-commerce: business aspects --- Computer science

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The book “Assessment of Renewable Energy Resources with Remote Sensing" focuses on disseminating scientific knowledge and technological developments for the assessment and forecasting of renewable energy resources using remote sensing techniques. The eleven papers inside the book provide an overview of remote sensing applications on hydro, solar, wind and geothermal energy resources and their major goal is to provide state of art knowledge to contribute with the renewable energy resource deployment, especially in regions where energy demand is rapidly expanding. Renewable energy resources have an intrinsic relationship with local environmental features and the regional climate. Even small and fast environment and/or climate changes can cause significant variability in power generation at different time and space scales. Methodologies based on remote sensing are the primary source of information for the development of numerical models that aim to support the planning and operation of an electric system with a substantial contribution of intermittent energy sources. In addition, reliable data and knowledge on renewable energy resource assessment are fundamental to ensure sustainable expansion considering environmental, financial and energetic security.

metaheuristic --- parameter extraction --- solar photovoltaic --- whale optimization algorithm --- cloud detection --- digitized image processing --- artificial neural networks --- solar irradiance estimation --- solar irradiance forecasting --- solar energy --- sky camera --- remote sensing --- CSP plants --- coastal wind measurements --- scanning LiDAR --- plan position indicator --- velocity volume processing --- Hazaki Oceanographical Research Station --- cloud coverage --- image processing --- total sky imagery --- geothermal energy --- geophysical prospecting --- time domain electromagnetic method --- electrical resistivity tomography --- potential well field location --- GES-CAL software --- smart island --- solar radiation forecasting --- light gradient boosting machine --- multistep-ahead prediction --- feature importance --- voxel-design approach --- shading envelopes --- point cloud data --- computational design method --- passive design strategy --- lake breeze influence --- hydropower reservoir --- solar irradiance enhancement --- solar energy resource --- wind speed --- extreme value analysis --- scatterometer --- feature engineering --- forecasting --- graphical user interface software --- machine learning --- photovoltaic power plant --- surface solar radiation --- global radiation --- satellite --- Baltic area --- coastline --- cloud --- convection --- climate --- renewable energy resource assessment and forecasting --- remote sensing data acquisition --- data processing --- statistical analysis --- machine learning techniques