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Books > Computing & IT > Applications of computing > Computer modelling & simulation
Structured Biological Modelling presents a straightforward introduction for computer-aided analysis, mathematical modelling, and simulation of cell biological systems. This unique guide brings together the physiological, structural, molecular biological, and theoretical aspects of the signal transduction network that regulates growth and proliferation in normal and tumor cells. It provides comprehensive survey of functional and theoretical features of intracellular signal processing and introduces the concept of cellular self-organization. Exemplified by oscillatory calcium waves, strategies for the design of computer experiments are presented that can assist or even substitute for time-consuming biological experiments. The presented minimal model for proliferation-associated signal transduction clearly shows the alterations of the cellular signal network involved in neoplastic growth. This book will be useful to cell and molecular biologists, oncologists, physiologists, theoretical biologists, computer scientists, and all other researchers and students studying functional aspects of cellular signaling.
Thiseditedbookispublishedin honorofDr. GeorgeJ. Vachtsevanos, ourDr. V, c- rently Professor Emeritus, School of Electrical and Computer Engineering, Georgia Institute of Technology, on the occasion of his 70th birthday and for his more than 30 years of contribution to the discipline of Intelligent Control and its application to a wide spectrum of engineering and bioengineering systems. The book is nothing but a very small token of appreciation from Dr. V's former graduate students, his peers and colleagues in the profession - and not only - to the Scientist, the Engineer, the Professor, the mentor, but most important of all, to the friend and human being. All those who have met Dr. V over the years and haveinteractedwith himin someprofessionaland/orsocial capacityunderstandthis statement: Georgenevermadeanybodyfeelinferiortohim, hehelpedandsupported everybody, and he was there when anybody needed him I was not Dr. V's student. I rst met him and his wife Athena more than 26 years ago during one of their visits to RPI, in the house of my late advisor, Dr. George N. Saridis. Since then, I have been very fortunate to have had and continue to have interactions with him. It is not an exaggeration if I say that we all learned a lot from him.
This books reviews and brings readers up to date with the latest research knowledge on road traffic safety. It describes and discusses mathematical descriptions of the process of a motor vehicle crash and indicates the various factors that impact on collision models. It tackles also vehicle stability and shows how the forces generated in crashes result in different extents of post-accident repair. Mathematical models that simulate vehicle stability data are compared with those of real vehicles. Practical uses of the models are explained to readers. The book will be of interest to researchers in transport and vehicle technology well as automotive industry professionals.
With the widespread use of VRML browsers, e.g., as part of the Netscape and Internet Explorer standard distributions, everyone connected to the Internet can directly enter a virtual world without installing a new kind of software. The VRML technology offers the basis for new forms of customer service such as interactive three-dimensional product configuration, spare part ordering, or customer training. Also, this technology can be used for CSCW in intranets.The reader should be familiar with programming languages and computers and, in particular, should know Java or at least an object-oriented programming language. The book not only provides and explains source code, which can be used as a starting point for own implementations, but it also describes the fundamental problems and how currently known solutions work. It discusses a variety of different techniques and trade-offs. Many illustrations help the reader to understand and memorize the underlying principles.
This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four typical problems are analyzed by using Bayesian probabilistic approach, i.e., to model the effect of initial void ratio on the soil-water characteristic curve (SWCC) of unsaturated soil, to select the optimal model for the prediction of the creep behavior of soft soil under one-dimensional straining, to identify model parameters of soils and to select constitutive model of soils considering critical state concept. This book selects the simple and easy-to-understand Bayesian probabilistic algorithm, so that readers can master the Bayesian method to analyze and solve the problem in a short time. In addition, this book provides MATLAB codes for various algorithms and source codes for constitutive models so that readers can directly analyze and practice. This book is useful as a postgraduate textbook for civil engineering, hydraulic engineering, transportation, railway, engineering geology and other majors in colleges and universities, and as an elective course for senior undergraduates. It is also useful as a reference for relevant professional scientific researchers and engineers.
Highlighting and illustrating several important and interesting
theoretical trends that have emerged in the continuing development
of instructional technology, this book's organizational framework
is based on the notion of two opposing camps. One evolves out of
the intelligent tutoring movement, which employs
artificial-intelligence technologies in the service of student
modeling and precision diagnosis, and the other emerges from a
constructivist/developmental perspective that promotes exploration
and social interaction, but tends to reject the methods and goals
of the student modelers. While the notion of opposing camps tends
to create an artificial rift between groups of researchers, it
represents a conceptual distinction that is inherently more
interesting and informative than the relatively meaningless divide
often drawn between "intelligent" and "unintelligent" instructional
systems.
CAAd Futures is a Bi-annual Conference that aims at promoting the advancement of computer aided architectural design in the service of those concerned with the quality of the built environment. The conferences are organised under the auspices of the CAAD Futures Foundation which has its secretariat at the Eindhoven University of Technology. The Series of conferences started in 1985 in Delft, and has since travelled through Eindhoven, Boston, Zurich, Pittsburgh, Singapore, Munich, and Atlanta. The book contains the proceedings of the 9th CAAD Futures conference which took place at Eindhoven University of Technology, 8-11 of July, 2001. The Articles in this book cover a wide range of subjects and provide an excellent overview of the state-of-the-art in research on computer aided architectural design. The following categories of articles are included: Capturing design; Information modelling; CBR techniques; Virtual reality; CAAD education; (Hyper) Media; Design evaluation; Design systems development; Collaboration; Generation; Design representation; Knowledge management; Form programming; Simulation; Architectural analysis; Urban design. Information on the CAAD Futures Foundation and its conferences can be found at: www.caadfutures.arch.tue.nl. Information about the 2001 Conference and this book is available from: www.caadfutures.arch.tue.nl/2001.
This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2021 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.
Systems approaches are excellent in integrating insights in the physical, chemical, Systemsapproachesareexcellentinintegratinginsightsinthephysical, chemical, physiological and ecological processes that dictate the behaviour of living systems, of physiologicalandecologicalprocessesthatdictatethebehaviouroflivingsystems, of which which agro-ecosystems agro-ecosystems are are important importantones. ones. Furthermore, Furthermore, they theyhelp help to tobridge bridge the the gap gap between betweendetailed detailed process processoriented oriented studies studies and and higher higherintegration integration levels. levels. Systems Systems approaches approaches are are roughly roughlycategorized categorized in inthree three groups groups of of studies: studies: (i) (i) predictive predictive studies studies to to support support decision decision making making and and guide guide interventions, interventions, (ii) (ii) systems systemsanalysis analysis and and simulation simulation in inorder order to toget get insight insight and and understanding understandingof of the the functioning functioningof of (living) (living) systems, systems, and and (iii) (iii) explorative explorative studies studies to to investigate investigate possible possible options options for for development development and and trade trade offs offs of of aims, aims, objectives objectives and andconstraints. constraints. All All these these systems systems approaches approaches are are now nowwidely widely used used in inecological ecological systems systems including including agriculture, agriculture, and and applied appliedin in land landuse use planning. planning. This This book book is is an an introduction introduction to toone one of ofthe the major majorfields: fields: systems systems analysis analysis and and simula simula tion. tion."
ThisvolumeispublishedastheproceedingsoftheRussian-GermanAdvanced Research workshop on Computational Science and High Performance C- puting in Novosibirsk Academgorodok in September 2003. The contributions of these proceedings were provided and edited by the authors, chosen after a careful selection and reviewing. The workshop was organized by the Institute of Computational Techno- gies SB RAS (Novosibirsk, Russia) and the High Performance Computing Center Stuttgart (Stuttgart, Germany). The objective was the discussion of the latest results in computational science and to develop a close coope- tion between Russian and German specialists in the above-mentioned ?eld. The main directions of the workshop are associated with the problems of computational hydrodynamics, application of mathematical methods to the development of new generation of materials, environment protection pr- lems, development of algorithms, software and hardware support for hi- performance computation, and designing modern facilities for visualization of computational modelling results. The importance of the workshop topics was con?rmed by the partici- tion of representatives of major research organizations engaged in the so- tion of the most complex problems of mathematical modelling, development of new algorithms, programs and key elements of new information techno- gies. Among the Russian participants were researchers of the Institutes of the Siberian Branch of the Russian Academy of Sciences: Institute of Com- tational Technologies, Institute of Computational Mathematics and Mat- matical Geophysics, Institute of Computational Modelling, Russian Federal Nuclear Center, All-Russian Research Institute of Experimental Physics, - merovo State University.
This book describes a unique combination of quantum chemical methods for calculating the basic physical properties of luminescent materials, or phosphors. These solid inorganic materials containing an optically active dopant are key players in several major fields of societal interest, including energy-efficient lighting, solar cells, and medical imaging. The novel ab initio methods described in this book are especially designed to target the crowded and complex electronic excited states of lanthanide activators in inorganic solids. The book is well suited to both new and experienced researchers alike and appeals to a broad range of theoretical and experimental backgrounds. The material presented enables an adept understanding of elaborate calculations, which, in tandem with experiments, give essential insight into difficult luminescence problems and quandaries, thus fully preparing the reader for an educated search for new functional luminescent materials
In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the "Advanced Analytics in Mining Engineering Book" as a practical road map and tools for unleashing the potential buried in your company's data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners - undergraduate and graduate IT and mining engineering students - with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain - in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins - in line with leading "digital" industries.
This text provides a reference on the early 1990s state of the art in this field covering topics such as physics, chemistry, toxicology and human behaviour. It contains nearly 100 scientific papers on all aspects of the subject. Many papers are included which illustrate the early 1990s state of development in the mathematical modelling of fire phenomena using computing.
How do people behave in different traffic situations? Are there
general laws for mathematical modelling of decision dynamics? The
answers, given at the first international workshop on "Human
Behaviour in Traffic Networks," are presented in this volume. In 13
articles, well-known experts report about their current work on
experiments and modelling in this area. The topics range from
psychological behaviour in traffic situations, traffic simulations
of various aspects and market analysis to experiments with human
participants used in experimental economics. The articles filled
with many illustrations are aimed at interested students as well as
experts in this field.
This book uses new ideas and language for understanding how self-organization and complexity trend toward increased efficiency. Different measures for efficiency from multiple disciplines are used to probe the ones that provide the most insight. One major goal is to seek a common framework to trace the increase of efficiency as a measure of the level of organization and evolutionary stage of a complex system. The chapters come from a satellite meeting hosted at the Conference on Complex Systems, in Cancun, 2017. The contributions will be peer-reviewed and contributors from outside the conference will be invited to submit chapters to ensure full coverage of the topics. This text will appeal to students and researchers working on complex systems and efficiency.
The scope of this book is to identify and emphasize the successful link between computational materials modeling as a simulation and design tool and its synergistic application to experimental research and alloy development. The book provides a more balanced perspective of the role that computational modeling can play in every day research and development efforts. Each chapter describes one or more particular computational tool and how they are best used.
This book describes how models are used to monitor crops and soils in precision agriculture, and how they are used to support farmers' decisions. The introductory section starts with an overview of precision agriculture from the early days of yield monitoring in the 1980s to the present, with a focus on the role of models. The section continues with descriptions of the different kinds of models and the opportunities for their application in precision agriculture. The section concludes with a chapter on socio-economic drivers and obstacles to the adoption of precision agriculture technologies. The middle section of the book explores the state-of-the-art in modeling for precision agriculture. Individual chapters focus on the major processes in precision agriculture: water use, nitrogen and other amendments, as well as weeds, pests and diseases. The final section contains a series of short chapters that each describe a commercial, model-based service that is currently available to farmers. The book aims to provide useful information to graduate-level professionals that want to broaden their knowledge of precision agriculture; to scientists who want to learn about using academic knowledge in practical farming; and to farmers, farm consultants and extension workers who want to increase their understanding of the science behind some of the commercial software available to the farming community.
Advanced Modeling and Optimization of Manufacturing Processes presents a comprehensive review of the latest international research and development trends in the modeling and optimization of manufacturing processes, with a focus on machining. It uses examples of various manufacturing processes to demonstrate advanced modeling and optimization techniques. Both basic and advanced concepts are presented for various manufacturing processes, mathematical models, traditional and non-traditional optimization techniques, and real case studies. The results of the application of the proposed methods are also covered and the book highlights the most useful modeling and optimization strategies for achieving best process performance. In addition to covering the advanced modeling, optimization and environmental aspects of machining processes, Advanced Modeling and Optimization of Manufacturing Processes also covers the latest technological advances, including rapid prototyping and tooling, micromachining, and nano-finishing. Advanced Modeling and Optimization of Manufacturing Processes is written for designers and manufacturing engineers who are responsible for the technical aspects of product realization, as it presents new models and optimization techniques to make their work easier, more efficient, and more effective. It is also a useful text for practitioners, researchers, and advanced students in mechanical, industrial, and manufacturing engineering.
This unique book is at the nexus of modern software programming practices and electrochemical process engineering. It is the authoritative text on developing open source software for many applications, including: * fuel cells; * electrolyzers; and * batteries. Written by experts in the field in the open source computational fluid dynamics (CFD) code suite OpenFOAM, this book is intended for process engineering professionals developing practical electrochemical designs for industry, as well as researchers focused on finding tomorrow's answers today. The book covers everything from micro-scale to cell-scale to stack-scale models, with numerous illustrations and programming examples. Starting from a clear explanation of electrochemical processes and simple illustrative examples, the book progresses in complexity through a range of diverse applications. After reading this book, the reader is able to take command and control of model development as an expert. The book is aimed at all engineers and scientists with basic knowledge of calculus and programming in C++.
This monograph on fast stochastic simulation deals with methods of adaptive importance sampling (IS). The concept of IS is introduced and described in detail with several numerical examples in the context of rare event simulation. Adaptive simulation and system parameter optimization to achieve specified performance criteria are described. The techniques are applied to the analysis and design of radar CFAR (constant false alarm rate) detectors. Development of robust detection algorithms using ensemble - or E-CFAR processing is described. A second application treats the performance evaluation and parameter optimization of digital communication systems that cannot be handled analytically or even by using standard numerical techniques.
The first step in making your ideas a reality SketchUp offers a vast array of tools that help you get your building, woodworking, and design plans out of your head and into a real model. Even if you've never dabbled in the software, SketchUp All-in-One For Dummies makes it easy to get started as quickly as the ideas pop into your head! Providing real-world insight from top SketchUp insiders, these six-books-in-one teach you how to tackle the basics of the program and apply those skills to real-world projects. You'll discover the basics of modeling as they apply to either free or paid versions of SketchUp before diving into creating models to use for making objects, constructing buildings, or redesigning interiors. Navigate the SketchUp product mix Get familiar with the basics of modeling View and share your models Make your architecture, interior design, and woodworking dreams a reality You have tons of great ideas--and now you can harness this powerful software to bring them to life.
Geometric constraint programming increases flexibility in CAD
design specifications and leads to new conceptual design
paradigms.
Possibly the most comprehensive overview of computer graphics as seen in the context of geometric modelling, this two volume work covers implementation and theory in a thorough and systematic fashion. Computer Graphics and Geometric Modelling: Implementation and Algorithms, covers the computer graphics part of the field of geometric modelling and includes all the standard computer graphics topics. The first part deals with basic concepts and algorithms and the main steps involved in displaying photorealistic images on a computer. The second part covers curves and surfaces and a number of more advanced geometric modelling topics including intersection algorithms, distance algorithms, polygonizing curves and surfaces, trimmed surfaces, implicit curves and surfaces, offset curves and surfaces, curvature, geodesics, blending etc. The third part touches on some aspects of computational geometry and a few special topics such as interval analysis and finite element methods. The volume includes two companion programs.
This book's aim is to study the mathematical and computational models to analyze the progress, prognosis, prevention, and panacea of breast cancer. The book discusses application of Markov chains and transient mappings, Charlie-Simpson numerical algorithm, models represented by nonlinear reaction-diffusion-type partial differential equations, and related techniques. The book also attempts to design mathematical model of targeted strategic treatments by using Skilled Killer Drugs (SKD1 and SKD2) to suggest the improvisation of future cancer treatments. Both graduate students and researchers of computational biology and oncologists will benefit by studying this book. Researchers of cancer studies and biological sciences will also find this work helpful. |
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