Chemical Process Design and Simulation: Aspen Plus and Aspen Hysys Applications, Haydary
Автор: Al Malah Kamal I.M. Название: Aspen Plus: Chemical Engineering Applications ISBN: 1119131235 ISBN-13(EAN): 9781119131236 Издательство: Wiley Рейтинг: Цена: 19958.00 р. Наличие на складе: Поставка под заказ.
Описание:
Facilitates the process of learning and later mastering Aspen Plus(R) with step by step examples and succinct explanations
Step-by-step textbook for identifying solutions to various process engineering problems via screenshots of the Aspen Plus(R) platforms in parallel with the related text
Includes end-of-chapter problems and term project problems
Includes online exam and quiz problems for instructors that are parametrized (i.e., adjustable) so that each student will have a standalone version
Includes extra online material for students such as Aspen Plus(R)-related files that are used in the working tutorials throughout the entire textbook
Описание: A guide for students (and faculty) on the use of Aspen in teaching thermodynamics. It offers easily-accessible modern computational techniques opening up vistas in teaching thermodynamics. It also provides a range of applications of Aspen, and in the calculation of thermodynamic properties and phase behavior using the methods.
Автор: Schefflan Ralph Название: Teach Yourself the Basics of Aspen Plus ISBN: 111898059X ISBN-13(EAN): 9781118980590 Издательство: Wiley Рейтинг: Цена: 11714.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Over the past few years the field of group-based cryptography has attracted attention from both group theorists and cryptographers. The new techniques inspired by algorithmic problems in non-commutative group theory and their complexity have offered promising ideas for developing new cryptographic protocols. The papers in this volume cover algorithmic group theory and applications to cryptography.
Описание: Presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis Bridging the gap between agent–based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful introduction to the development of agent–based models (ABMs) by following a conceptual and biological core model of Anopheles gambiae for malaria epidemiology. Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation–based, and geo–spatial domains in order to identify and analyze relationships between various transmission variables of the disease. Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology also features: Location–specific mosquito abundance maps that play an important role in malaria control activities by guiding future resource allocation for malaria control and identifying hotspots for further investigation Discussions on the best modeling practices in an effort to achieve improved efficacy, cost–effectiveness, ecological soundness, and sustainability of vector control for malaria An overview of the various ABMs, GIS, and spatial statistical methods used in entomological and epidemiological studies, as well as the model malaria study A companion website with computer source code and flowcharts of the spatial ABM and a landscape generator tool that can simulate landscapes with varying spatial heterogeneity of different types of resources including aquatic habitats and houses Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology is an excellent reference for professionals such as modeling and simulation experts, GIS experts, spatial analysts, mathematicians, statisticians, epidemiologists, health policy makers, as well as researchers and scientists who use, manage, or analyze infectious disease data and/or infectious disease–related projects. The book is also ideal for graduate–level courses in modeling and simulation, bioinformatics, biostatistics, public health and policy, and epidemiology. S. M. Niaz Arifin, PhD, is Research Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame. A member of The Society for Computer Simulation, and American Society of Tropical Medicine and Hygiene, and the recipient of The American Society of Tropical Medicine and Hygiene Travel Award in 2011, his research interests include agent–based modeling and simulation, public health, data warehousing, and geographic information systems. Gregory R. Madey, PhD, is Research Professor in the Department of Computer Science and Engineering at the University of Notre Dame. A member of The Society for Computer Simulation, Institute of Electrical and Electronics Engineers Computer Society, and American Society of Tropical Medicine and Hygiene, his research interests include agent–based modeling and simulation, cyberinfrastructure, bioinformatics, biocomplexity, e–Technologies, open source software, disaster management, and health informatics. Frank H. Collins, PhD, is Professor in the Department of Biological Sciences at the University of Notre Dame. His research interests include genome level studies of arthropod vectors of human pathogens, the biology of malaria vectors with a focus on the development of molecular tools that will permit better resolution of questions about vector population ec
Описание: The proposed book will be divided into three parts. The chapters in Part I provide an overview of certain aspect of process retrofitting. The focus of Part II is on computational techniques for solving process retrofit problems. Finally, Part III addresses retrofit applications from diverse process industries.
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