Medical Modelling: The Application of Advanced Design and Rapid Prototyping Techniques in Medicine, Third Edition provides readers with a thorough update of the core contents, along with key information on innovative imaging techniques, additive manufacturing technologies, and a range of applied case studies. This comprehensive new edition includes new coverage of advanced technologies, such as selective laser melting, electron beam melting, multi jet fusion, and more. The extensive section of peer-reviewed case studies is thoroughly updated and includes additional clinical examples, describing the practical applications of advanced design technologies in surgical, prosthetic, orthotic, dental and research applications.Finally, the book explores the future potential of medical modeling, such as in simulations for training, the development of new medical devices, and more.
Applied Analysis of Composite Media: Analytical and Computational Approaches presents formulas and techniques that can used to study 2D and 3D problems in composites and random porous media. The main strength of this book is its broad range of applications that illustrate how these techniques can be applied to investigate elasticity, viscous flow and bacterial motion in composite materials. In addition to paying attention to constructive computations, the authors have also included information on codes via a designated webpage. This book will be extremely useful for postgraduate students, academic researchers, mathematicians and industry professionals who are working in structured media.
Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called "fast" models to more advanced multiscale models, also evaluating possible methods for improving computational accuracy and efficiency. Beginning with a discussion of conventional fast models like internal variable models for flow stress and microstructure evolution, the book moves on to advanced multiscale models, such as the CAFÉ method, which give insights into the phenomena occurring in materials in lower dimensional scales. The book then delves into the various methods that have been developed to deal with problems, including long computing times, lack of proof of the uniqueness of the solution, difficulties with convergence of numerical procedures, local minima in the objective function, and ill-posed problems. It then concludes with suggestions on how to improve accuracy and efficiency in computational materials modeling, and a best practices guide for selecting the best model for a particular application.
Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems – from molecular/cellular, organ-system, on up to population levels. The book pedagogy is developed as a well-annotated, systematic tutorial – with clearly spelled-out and unified nomenclature – derived from the author’s own modeling efforts, publications and teaching over half a century. Ambiguities in some concepts and tools are clarified and others are rendered more accessible and practical. The latter include novel qualitative theory and methodologies for recognizing dynamical signatures in data using structural (multicompartmental and network) models and graph theory; and analyzing structural and measurement (data) models for quantification feasibility. The level is basic-to-intermediate, with much emphasis on biomodeling from real biodata, for use in real applications.
Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects.
Medical modelling and the principles of medical imaging, Computer Aided Design (CAD) and Rapid Prototyping (also known as Additive Manufacturing and 3D Printing) are important techniques relating to various disciplines - from biomaterials engineering to surgery. Building on the success of the first edition, Medical Modelling: The application of Advanced Design and Rapid Prototyping techniques in medicine provides readers with a revised edition of the original text, along with key information on innovative imaging techniques, Rapid Prototyping technologies and case studies.Following an overview of medical imaging for Rapid Prototyping, the book goes on to discuss working with medical scan data and techniques for Rapid Prototyping. In this second edition there is an extensive section of peer-reviewed case studies, describing the practical applications of advanced design technologies in surgical, prosthetic, orthotic, dental and research applications.
UKSC 84 contains the proceedings of the 1984 United Kingdom Simulation Council Conference on Computer Simulation held at the University of Bath, England. The papers describe computer simulation techniques and their applications and cover topics ranging from simulation methodology and software to the various applications of computer simulation in areas such as policy decision-making and planning, biology and medicine, and education. This book is comprised of 52 chapters divided into nine sections and begins by describing an advanced continuous-system simulation language called ESL (ESA Simulation Language), an initiative of the European Space Agency. The papers that follow explore other simulation software, such as MANIP, SYSMOD, COSMOS, Ada, SDL (Simulation Development Language), and SPIRO (Suite of Programs for the Investigation of Recondite Objects). The discussion then turns to a methodology based on artificial intelligence for the design and development of large-scale computer simulations; a formalism for specifying continuous or fixed time-step simulation models that is a straightforward extension of the block-oriented languages, with emphasis on superblocks and tesselations; and simulation of manufacturing and control systems. This book concludes with a chapter that describes a highly efficient compactor for a radar digital database. This monograph will be of interest to students and professionals working in the field of computer simulation.
Simulate realistic human motion in a virtual world with an optimization-based approach to motion prediction. With this approach, motion is governed by human performance measures, such as speed and energy, which act as objective functions to be optimized. Constraints on joint torques and angles are imposed quite easily. Predicting motion in this way allows one to use avatars to study how and why humans move the way they do, given specific scenarios. It also enables avatars to react to infinitely many scenarios with substantial autonomy. With this approach it is possible to predict dynamic motion without having to integrate equations of motion -- rather than solving equations of motion, this approach solves for a continuous time-dependent curve characterizing joint variables (also called joint profiles) for every degree of freedom.
Brainstorming and Beyond describes the techniques for generating ideas verbally, in writing, or through sketches. The first chapter focuses on brainstorming, the foundation method for ideation, which is a complex social process building off of social psychology principles, motivational constructs, and corporate culture. Brainstorming is commonly portrayed as an easy way to generate ideas, but in reality, it is a complex social process that is often flawed in ways that are not self-evident. Chapter 2 discusses Brainwriting, which is a variation on brainstorming in which each person writes ideas down on paper and then passes the paper to a new person who reads the first set of ideas and adds new ones. Since there is no group shouting out of ideas, strong facilitation skills are not required, and more often than not, Brainwriting results greatly exceed those of group brainstorming in a shorter time because ideas are generated in a parallel, rather than serial, fashion. Brainwriting is useful when time is limited, groups are hostile, or you are dealing with a culture where shouting out wild or divergent ideas might be difficult. Finally, in Chapter 3, readers learn about Braindrawing, a method of visual brainstorming that helps practitioners generate ideas for icons, other graphics, user interface layouts, or Web page designs. Each of these methods provides readers with ways to generate, present, and evaluate ideas so they can begin building a strong foundation for product success.
The main aim of this book is to offer an exposition of the principles and applications of an original method which was introduced by the authors, developed gradually in the course of time, and applied extensively in the most diverse fields of management in the mining industry and power engineering. It is a relatively universal method of mathematical model construction and application intended to aid managerial personnel at various management levels in decision-making situations, which are frequently characterized by complicated relations of a quantitative as well as logical character.The method, called by the authors simply the ``method of mathematical-logical modelling'' (MLM for short), is based upon an interesting and effective combination of tools from mathematical logic, Boolean algebra and computer programming. From the mathematical point of view it is based primarily on the construction and solution of systems of pseudo-Boolean equations and inequalities with a generalized logical structure. The principal features of the method are its universality, iterativity, interactivity, and advanced and broadly applicable software, coded in FORTRAN 77. Due in particular to these properties, MLM is a powerful tool for modelling real-life situations in the mining industry (and, naturally, in other fields of human activity as well).The exposition is illustrated by a considerable number of examples. Some of these are rather simple and aimed at helping the reader verify his correct understanding of the text. Other examples, especially in the second part of the book (Chapters 6, 7 and 8), are more complicated and extensive. In some instances they have the character of case studies and demonstrate typical approaches applied when modelling mining situations.The book will be of interest to a broad range of specialists working in the mining industry - research workers, designers, computer personnel, system analysts, management personnel at all managerial levels, and also undergraduate as well as graduate students.