Spoken Language Characterization, Dafydd Gibbon, Richard Winski, Roger Moore
Автор: Thomas, Sabu Название: Spectroscopic Methods for Nanomaterials Characterization ISBN: 0323461409 ISBN-13(EAN): 9780323461405 Издательство: Elsevier Science Рейтинг: Цена: 26949.00 р. Наличие на складе: Поставка под заказ.
Описание:
Nanomaterials Characterization Techniques, Volume Two, part of an ongoing series, offers a detailed analysis of the different types of spectroscopic methods currently being used in nanocharacterization. These include, for example, the Raman spectroscopic method for the characterization of carbon nanotubes (CNTs).
This book outlines the different kinds of spectroscopic tools being used for the characterization of nanomaterials and discusses under what conditions each should be used. The book is intended to cover all the major spectroscopic techniques for nanocharacterization, making it an important resource for both the academic community at the research level and the industrial community involved in nanomanufacturing.
Fuel Property Estimation and Combustion Process Characterization is a thorough tool book, which provides readers with the most up-to-date, valuable methodologies to efficiently and cost-effectively attain useful properties of all types of fuels and achieve combustion process characterizations for more efficient design and better operation. Through extensive experience in fuels and combustion, Kiang has developed equations and methodologies that can readily obtain reasonable properties for all types of fuels (including wastes and biomass), which enable him to provide guidance for designers and operators in the combustion field, in order to ensure the design, operation, and diagnostics of all types of combustion systems are of the highest quality and run at optimum efficiency.
Written for professionals and researchers in the renewable energy, combustion, chemical, and mechanical engineering fields, the information in this book will equip readers with detailed guidance on how to reliably obtain properties of fuels quickly for the design, operation and diagnostics of combustion systems to achieve highly efficient combustion processes.
Presents models for quick estimation of fuel properties without going through elaborate, costly and time consuming sampling and laboratory testing
Offers methodologies to determine combustion process characteristics for designing and deploying combustion systems
Examines the fundamentals of combustion applied to energy systems, including thermodynamics of traditional and alternative fuels combustion
Presents a fuel property database for over 1400 fuels
Includes descriptive application of big data technology, using dual properties analysis as an example
Provides specific technical solutions for combustion, fuels and waste processing
Автор: Jafari, Seid Mahdi Название: Characterization Of Nanoencapsulated Food Ingredients ISBN: 0128156678 ISBN-13(EAN): 9780128156674 Издательство: Elsevier Science Рейтинг: Цена: 26444.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Characterization of Nanoencapsulated Food Ingredients, Volume Four in the Nanoencapsulation in the Food Industry series, introduces some of the common instrumental analysis and characterization methods for the evaluation of nanocarriers and nanoencapsulated ingredients in terms of their morphology, size distribution, surface charge and composition, appearance, physicochemical and rheological properties, and antioxidant activity.
Divided in five sections, the book covers the qualitative and quantitative properties of nanoencapsulated food ingredients by different characterization techniques, besides correlating nanocarrier behavior to their physicochemical and functional properties.
Authored by a team of global experts in the fields of nano- and microencapsulation of food, nutraceutical, and pharmaceutical ingredients, this title is of great value to those engaged in the various fields of nanoencapsulation and nanodelivery systems.
Описание: A little over ?ve years have passed since the ?rst edition of this book appeared in print. Seems like an instant but also eternity, especially considering numerous developments in the hardware and software that have made it from the laboratory test beds into the real world of powder diffraction.
Автор: Misra, Siddharth Название: Machine Learning for Subsurface Characterization ISBN: 0128177365 ISBN-13(EAN): 9780128177365 Издательство: Elsevier Science Рейтинг: Цена: 18528.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
To continue to meet demand while keeping costs down, petroleum and reservoir engineers know it is critical to utilize their asset's data through more complex modeling methods, and machine learning and data analytics is the known alternative approach to accurately represent the complexity of fluid-filled rocks. With a lack of training resources available, Machine Learning for Subsurface Characterization focuses on the development and application of neural networks, deep learning, unsupervised learning, reinforcement learning, and clustering methods for subsurface characterization under constraints. Such constraints are encountered during subsurface engineering operations due to financial, operational, regulatory, risk, technological, and environmental challenges.
This reference teaches how to do more with less. Used to develop tools and techniques of data-driven predictive modelling and machine learning for subsurface engineering and science, engineers will be introduced to methods of generating subsurface signals and analyzing the complex relationships within various subsurface signals using machine learning. Algorithmic procedures in MATLAB, R, PYTHON, and TENSORFLOW are displayed in text and through online instructional video to assist training and learning. Field cases are also presented to understand real-world applications, with a particular focus on examples involving shale reservoirs.
Explaining the concept of machine learning, advantages to the industry, and applications applied to complex subsurface rocks, Machine Learning for Subsurface Characterization delivers a missing piece to the reservoir engineer's toolbox needed to support today's complex operations.
Focus on applying predictive modelling and machine learning from real case studies and Q&A sessions at the end of each chapter
Learn how to develop codes such as MATLAB, PYTHON, R, and TENSORFLOW with step-by-step guides included
Visually learn code development with video demonstrations included
Описание: The book focuses on advanced characterization methods for thin-fi lm solar cells that have proven their relevance both for academic and corporate photovoltaic research and development.
The Handbook of Borehole Acoustics and Rock Physics for Reservoir Characterization combines in a single useful handbook the multidisciplinary domains of the petroleum industry, including the fundamental concepts of rock physics, acoustic logging, waveform processing, and geophysical application modeling through graphical examples derived from field data. It includes results from core studies, together with graphics that validate and support the modeling process, and explores all possible facets of acoustic applications in reservoir evaluation for hydrocarbon exploration, development, and drilling support.
The Handbook of Borehole Acoustics and Rock Physics for Reservoir Characterization serves as a technical guide and research reference for oil and gas professionals, scientists, and students in the multidisciplinary field of reservoir characterization through the use of petrosonics. It overviews the fundamentals of borehole acoustics and rock physics, with a focus on reservoir evaluation applications, explores current advancements through updated research, and identifies areas of future growth.
Presents theory, application, and limitations of borehole acoustics and rock physics through field examples and case studies
Features "Petrosonic Workflows" for various acoustic applications and evaluations, which can be easily adapted for practical reservoir modeling and interpretation
Covers the potential advantages of acoustic-based techniques and summarizes key results for easy geophysical application
Описание: This book provides an overview of the preparation, characterization and application of metal-free functionalized carbons, including carbon nanotubes, graphene, carbon nitride and covalent organic framework (COF).
Автор: Pazoki, Meysam Название: Characterization Techniques for Perovskite Solar Cell Materials ISBN: 012814727X ISBN-13(EAN): 9780128147276 Издательство: Elsevier Science Рейтинг: Цена: 26444.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Characterization Techniques for Perovskite Solar Cell Materials: Characterization of Recently-Emerged Perovskite Solar Cell Materials to Provide an Understanding of the Fundamental Physics on the Nano Scale and Optimize the Operation of the Device Towards Stable and Low-Cost Photovoltaic Technology explores the characterization of nanocrystals of the perovskite film, related interfaces, and the overall impacts of these properties on device efficiency. Included is a collection of both main and research techniques for perovskite solar cells. For the first time, readers will have a complete reference of different characterization techniques, all housed in a work written by highly experienced experts.
Explores various characterization techniques for perovskite solar cells and discusses both their strengths and weaknesses
Discusses material synthesis and device fabrication of perovskite solar cells
Includes a comparison throughout the work on how to distinguish one perovskite solar cell from another
Описание: Petrophysical Characterization and Fluids Transport in Unconventional Reservoirs presents a comprehensive look at these new methods and technologies for the petrophysical characterization of unconventional reservoirs, including recent theoretical advances and modeling on fluids transport in unconventional reservoirs. The book is a valuable tool for geoscientists and engineers working in academia and industry. Many novel technologies and approaches, including petrophysics, multi-scale modelling, rock reconstruction and upscaling approaches are discussed, along with the challenge of the development of unconventional reservoirs and the mechanism of multi-phase/multi-scale flow and transport in these structures.
Автор: Prasad S. Thenkabail, John G. Lyon, Alfredo Huete Название: Biophysical and Biochemical Characterization and Plant Species Studies ISBN: 1138364711 ISBN-13(EAN): 9781138364714 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessment. Includes extensive discussions on data processing mechanisms.
Автор: Bowen Li; Название: Characterization of minerals, metals, and materials 2019. ISBN: 3030057488 ISBN-13(EAN): 9783030057480 Издательство: Springer Рейтинг: Цена: 46118.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection gives broad and up-to-date results in the research and development of materials characterization and processing. Topics covered include characterization methods, ferrous materials, non-ferrous materials, minerals, ceramics, polymer and composites, powders, extraction, microstructure, mechanical behavior, processing, corrosion, welding, solidification, magnetic, electronic, environmental, nano-materials, and advanced materials The book explores scientific processes to characterize materials using modern technologies, and focuses on the interrelationships and interdependence among processing, structure, properties, and performance of materials.
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