In this study, galvanic coupled intrabody communication has been studied due to finite element method. Thus, electric field distribution and induced current densities have been analyzed. Multi-layered cylinder has bee...
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ISBN:
(纸本)9781728124209
In this study, galvanic coupled intrabody communication has been studied due to finite element method. Thus, electric field distribution and induced current densities have been analyzed. Multi-layered cylinder has been examined as the tissue model and modelled as skin, fat, muscle, cortical bone, cancellous bone. During the investigations, both physical and electrical properties of the tissues have been considered according to realistic values. Simulations have been performed at 1 MHz, 10 MHz and 21 MHz. Results showed that the electrical properties of the tissues have different variations at the operating frequencies, and as a result of this, it has been shown that the behavior of the signal in the tissue has changed. Electric field distributions have been obtained mostly in tissue layers close to the electrodes for all three frequencies. Maximum current density has been induced in muscle tissue for 1 MHz, whereas it has been observed in skin tissue for 10 MHz and 21 MHz.
Parallel programming of high-performance computers has emerged as a key technology for the numerical solution of large-scale problems arising in computational science and engineering (CSE). The authors believe that pr...
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Parallel programming of high-performance computers has emerged as a key technology for the numerical solution of large-scale problems arising in computational science and engineering (CSE). The authors believe that principles and techniques of parallel programming are among the essential ingredients of any CSE as well as computer science curriculum. Today, opinions on the role and importance of parallel programming are diverse. Rather than seeing it as a marginal beneficial skill optionally taught at the graduate level, we understand parallel programming as crucial basic skill that should be taught as an integral part of the undergraduate computer science curriculum. A practical training course developed for computer science undergraduates at Aachen University is described. Its goal is to introduce young computer science students to different parallel programming paradigms for shared and distributed memory computers as well as to give a first exposition to the field of computationalscience by simple, yet carefully chosen sample problems. (C) 2003 Elsevier B.V. All rights reserved.
Since these problems can be large and difficult to handle, much can be gained by understanding and taking advantage of special structures. This in turn requires a good grasp of basic numerical linear algebra and matri...
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ISBN:
(数字)9783030364687
ISBN:
(纸本)9783030364670;9783030364700
Since these problems can be large and difficult to handle, much can be gained by understanding and taking advantage of special structures. This in turn requires a good grasp of basic numerical linear algebra and matrix factorizations. Factoring a matrix into a product of simpler matrices is a crucial tool in numerical linear algebra, because it allows us to tackle complex problems by solving a sequence of easier ones.
This article discusses the question if Scrum and XP is well suited for development of computational science and engineering (CSE) software. The reason for choosing Scrum and XP is based on two facts. Firstly, CSE deve...
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This article discusses the question if Scrum and XP is well suited for development of computational science and engineering (CSE) software. The reason for choosing Scrum and XP is based on two facts. Firstly, CSE developers are not used to formal processes for software development and Scrum and XP are informal in nature, hence easier to adopt. Secondly CSE projects are often once-off and aimed at producing scientific results rather than commercial software, so the overhead of a process or methodology needs to be kept at a minimum. Scrum and XP are focused on producing software, thus keeping everything else, i.e. the overhead to a minimum, a fact that benefits CSE development. In this article, the characteristics of Scrum and XP in particular and agile development in general are evaluated against the needs of CSE developers. The results show that almost all the key points in both methodologies are well suited for CSE development and that agile development in general is a good match with CSE. (C) 2010 Published by Elsevier Ltd.
This paper reports our experiences in reimplementing an entry-level graduate course in high-performance parallel computing aimed at physical scientists and engineers. These experiences have directly informed a signifi...
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ISBN:
(纸本)9780769546766
This paper reports our experiences in reimplementing an entry-level graduate course in high-performance parallel computing aimed at physical scientists and engineers. These experiences have directly informed a significant redesign of a junior/senior undergraduate course, Introduction to High-Performance Computing (CS 4225 at Georgia Tech), which we are implementing for the current Spring 2012 semester. Based on feedback from the graduate version, the redesign of the undergraduate course emphasizes peer instruction and hands-on activities during the traditional lecture periods, as well as significant time for end-to-end projects. This paper summarizes our anecdotal findings from the graduate version's exit surveys and briefly outlines our plans for the undergraduate course.
Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well under...
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ISBN:
(数字)9780898718133
ISBN:
(纸本)9780898716191
Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on. As scientific computing has evolved to produce results that meet or exceed the quality of experimental and theoretical results, it has become indispensable.
Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them.
Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.
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