3D Printing Technology for Water Treatment Applications provides a state-of-the-art presentation on the application of 3D printing technology in water treatment. The book discusses numerous processes and their scope for improvement through the use of 3D-printing technology, including pollutant separation from water and an overview of the advantages and disadvantages of different 3D printed technology over current technologies. In addition, the future outlook for device development using 3D printing water purification is explored. Finally, sustainability issues relating to 3D printing-based water purification processes are discussed, describing specific technologies such as 3D printed membranes. This book will serve as a vital resource for scientists, engineers and environmental professionals working in water treatment technologies.
Cellulose Fibre Reinforced Composites: Interface Engineering, Processing and Performance provides an up-to-date review of current research in cellulose fiber reinforced polymer composites. Key emphasis is placed on interface engineering, modern technologies needed for processing and materials performance in industrial applications. Novel techniques for interfacial adhesion, characterization and assessment of cellulose fiber reinforced composites are also discussed, along with current trends and future directions. With contributions from leading researchers in industry, academic, government and private research institutions from across the globe, the book will be an essential reference resource for all those working in the field of cellulose fibers and their composites.
Statistical Modeling in Machine Learning: Concepts and Applications presents the basic concepts and roles of statistics, exploratory data analysis and machine learning. The various aspects of Machine Learning are discussed along with basics of statistics. Concepts are presented with simple examples and graphical representation for better understanding of techniques. This book takes a holistic approach – putting key concepts together with an in-depth treatise on multi-disciplinary applications of machine learning. New case studies and research problem statements are discussed, which will help researchers in their application areas based on the concepts of statistics and machine learning. Statistical Modeling in Machine Learning: Concepts and Applications will help statisticians, machine learning practitioners and programmers solving various tasks such as classification, regression, clustering, forecasting, recommending and more.
Industrial wastewater contains a large variety of compounds, such as hazardous organic pollutants, heavy metals, salts and nutrients, which makes its treatment challenging. On the other hand, the sewage treatment with existing technologies is not cost-effective due to high energy demand and contributes to greenhouse gas emission. Thus, the use of conventional water treatment methods is neither sustainable nor always effective. In this sense, BESs has emerged as a promising technology to treat complex industrial wastewater with a sustainable manner. Development in Wastewater Treatment Research and Processes: Bioelectrochemical Systems for Wastewater Management analyses and discusses the potential of microbial and electrochemical based hybrid processes for the treatment of complex industrial wastewater along with the recovery of valuable compounds and water reutilization. The most significant advantages of BES are high effectiveness, low toxicity, gentle operation conditions, environmentally friendly treatment without sludge accumulation and energy conservation. Bioelectrochemical systems (BES) are emerging as an exciting platform to convert chemical energy of organic wastes into electricity or hydrogen or value-added chemical commodities. In addition, recent and future trends in BES are highlighted.
Planetary Exploration Horizon 2061: A Long-Term Perspective for Planetary Exploration synthesizes all the material elaborated and discussed during three workshops devoted to the Horizon 2061 foresight exercise. Sections cover the science of planetary systems, space missions to solar system objects, technologies for exploration, and infrastructures and services to support the missions and to maximize their science return. The editors follow the path of the implementation of a planetary mission, from the needed support in terms of navigation and communication, through the handling of samples returned to Earth, to the development of more permanent infrastructures for scientific human outposts on the Moon and Mars. This book also includes a special chapter entirely devoted to contributions from students and early-career scientists: the “Horizon 2061 generation” and a final chapter on important avenues for the actual implementation of the planetary missions coming out of our “Dreams for Horizon 2061”: International cooperation, and the growing role and initiatives of private enterprise in planetary exploration.
Plant Intelligent Automation and Digital Transformation: Process and Factory Automation is an expansive four volume collection reviewing every major aspect of the intelligent automation and digital transformation of power, process and manufacturing plants, from the specific control and automation systems pertinent to various power process plants through manufacturing and factory automation systems. This volume introduces the foundations of automation control theory, networking practices and communication for power, process and manufacturing plants considered as integrated digital systems. In addition, it discusses Distributed control System (DCS) for Closed loop controls system (CLCS) and PLC based systems for Open loop control systems (OLCS) and factory automation. This book provides in-depth guidance on functional and design details pertinent to each of the control types referenced above, along with the installation and commissioning of control systems.
Waste to Renewable Biohydrogen, Volume Two: Numerical Modelling and Sustainability Assessment provides an integrated approach on the experimental, modeling and sustainability aspects of waste-to-biohydrogen systems. The book focuses on processes for waste treatment to hydrogen production, delving into modeling and simulation methodologies for the design and optimization of different processes and systems. In addition, it looks at the application of computational fluid dynamics and artificial neural networks. Finally, it addresses the economic, environmental and sustainability implications of waste-to-biohydrogen systems, covering several techniques for cost-benefit analysis, techno-economic analysis, lifecycle assessment, sustainability ranking and supply chain design. This well-rounded reference supports decision-making for energy researchers and industry practitioners alike, but it is also ideal for graduate students, early career researchers and waste management professionals.
PV has traditionally been used for electric power in space. Solar panels on spacecraft are usually the sole source of power to run the sensors, active heating and cooling, and communications. Photovoltaics for Space: Key Issues, Missions and Alternative Technologies provides an overview of the challenges to efficiently produce solar power in near-Earth space and beyond: the materials and device architectures that have been developed to surmount these environmental and mission-specific barriers. The book is organized in four sections consisting of detailed introductory and background content as well as a collection of in-depth space environment, materials processing, technology, and mission overviews by international experts. This book will detail how to design and optimize a space power system’s performance for power-to-weight ratio, effectiveness at end of operational life (EOL) compared to beginning of operational life (BOL), and specific mission objectives and goals. This book outlines the knowledge required for practitioners and advanced students interested in learning about the background, materials, devices, environmental challenges, missions, and future for photovoltaics for space exploration.
Motion Correction in MR: Correction of Position, Motion, and Dynamic Changes, Volume Eight provides a comprehensive survey of the state-of-the-art in motion detection and correction in magnetic resonance imaging and magnetic resonance spectroscopy. The book describes the problem of correctly and consistently identifying and positioning the organ of interest and tracking it throughout the scan. The basic principles of how image artefacts arise because of position changes during scanning are described, along with retrospective and prospective techniques for eliminating these artefacts, including classical approaches and methods using machine learning. Internal navigator-based approaches as well as external systems for estimating motion are also presented, along with practical applications in each organ system and each MR modality covered. This book provides a technical basis for physicists and engineers to develop motion correction methods, giving guidance to technologists and radiologists for incorporating these methods in patient examinations.
Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence provides an overview of advances in science and technology made possible by the convergence of nanotechnology and artificial intelligence (AI). Sections focus on AI-enhanced design, characterization and manufacturing and the use of AI to improve important material properties, with an emphasis on mechanical, photonic, electronic and magnetic properties. Designing benign nanomaterials through the prediction of their impact on biology and the environment is also discussed. Other sections cover the use of AI in the acquisition and analysis of data in experiments and AI technologies that have been enhanced through nanotechnology platforms. Final sections review advances in applications enabled by the merging of nanotechnology and artificial intelligence, including examples from biomedicine, chemistry and automated research.