Matlab In Quality Assurance Sciences

Author : Leonid Burstein
Publisher : Elsevier
Page : 264 pages
File Size : 54,6 Mb
Release : 2015-02-12
Category : Business & Economics
ISBN : 9780857094889

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Matlab® in Quality Assurance Sciences by Leonid Burstein Pdf

MATLAB® in Quality Assurance Sciences fills a gap in the highly topical field of quality assurance (QA). It is a compact guide for students, engineers, and scientists in this field. It concentrates on MATLAB® fundamentals with examples of application to a wide range of current problems from general, nano and bio-technology, and statistical control, to medicine and industrial management. Examples cover both the school and advanced level; comprising calculations of total quality management, six sigma, time series, process improvement, metrology, quality control, human factors in quality assurance, measurement and testing techniques, quality project and function management, and customer satisfaction. This book covers key topics, including: the basics of software with examples; graphics and representations; numerical computation, scripts and functions for QA calculations; ODE and PDEPE solvers applied to QA problems; curve fitting and time series tool interfaces in calculations of quality; and statistics calculations applied to quality testing. Includes MATLAB® fundamentals, matrices, arrays, general graphics and specialized plots in quality assurance problems, script files, ordinary and partial differential equations Gives calculation of six sigma, total quality management, time series forecasting, reliability, process improvement, metrology, quality control and assurance, measurement and testing techniques Provides tools for graphical presentation, basic and special statistics and testing, ordinary and partial differential solvers, and fitting tools

Author : Leonid Burstein
Publisher : Woodhead Publishing
Page : 286 pages
File Size : 53,7 Mb
Release : 2020-02-06
Category : Technology & Engineering
ISBN : 9780128191163

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A MATLAB® Primer for Technical Programming for Materials Science and Engineering by Leonid Burstein Pdf

A MATLAB® Primer for Technical Programming for Materials Science and Engineering draws on examples from the field, providing the latest information on this programming tool that is targeted towards materials science. The book enables non-programmers to master MATLAB® in order to solve problems in materials science, assuming only a modest mathematical background. In addition, the book introduces programming and technical concepts in a logical manner to help students use MATLAB® for subsequent projects. This title offers materials scientists who are non-programming specialists with a coherent and focused introduction to MATLAB®. Provides the necessary background, alongside examples drawn from the field, to allow materials scientists to effectively master MATLAB® Guides the reader through programming and technical concepts in a logical and coherent manner Promotes a thorough working familiarity with MATLAB® for materials scientists Gives the information needed to write efficient and compact programs to solve problems in materials science, tribology, mechanics of materials and other material-related disciplines

Author : Burstein, Leonid
Publisher : IGI Global
Page : 462 pages
File Size : 54,9 Mb
Release : 2020-09-18
Category : Technology & Engineering
ISBN : 9781799849407

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Handbook of Research on Advancements in Manufacturing, Materials, and Mechanical Engineering by Burstein, Leonid Pdf

Production, new materials development, and mechanics are the central subjects of modern industry and advanced science. With a very broad reach across several different disciplines, selecting the most forward-thinking research to review can be a hefty task, especially for study in niche applications that receive little coverage. For those subjects, collecting the research available is of utmost importance. The Handbook of Research on Advancements in Manufacturing, Materials, and Mechanical Engineering is an essential reference source that examines emerging obstacles in these fields of engineering and the methods and tools used to find solutions. Featuring coverage of a broad range of topics including fabricating procedures, automated control, and material selection, this book is ideally designed for academics; tribology and materials researchers; mechanical, physics, and materials engineers; professionals in related industries; scientists; and students.

Author : Joo Chuan Tong,Shoba Ranganathan
Publisher : Elsevier
Page : 164 pages
File Size : 52,9 Mb
Release : 2013-07-31
Category : Medical
ISBN : 9781908818416

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Computer-Aided Vaccine Design by Joo Chuan Tong,Shoba Ranganathan Pdf

Computational pre-screening of antigens is now routinely applied to the discovery of vaccine candidates. Computer-aided vaccine design is a comprehensive introduction to this exciting field of study. The book is intended to be a textbook for researchers and for courses in bioinformatics, as well as a laboratory reference guide. It is written mainly for biologists who want to understand the current methods of computer-aided vaccine design. The contents are designed to help biologists appreciate the underlying concepts and algorithms used, as well as limitations of the methods and strategies for their use. Chapters include: MHC and T cell responses; Immunoglobulins and B cell responses; Scientific publications and databases; Database design; Computational T cell vaccine design; Computational B cell vaccine design; infectious disease informatics; Vaccine safety and quality assessments; and Vaccine adjuvant informatics. Essential reading for any biologist who wants to understand methods of computer-aided vaccine design Description of available data sources and publicly available software, with detailed analysis of strengths and weaknesses Theoretical concepts and practical examples of database design and development for a virtual screening campaign

Author : Rech, J”rg,Bunse, Christian
Publisher : IGI Global
Page : 526 pages
File Size : 53,5 Mb
Release : 2008-08-31
Category : Computers
ISBN : 9781605660073

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Model-Driven Software Development: Integrating Quality Assurance by Rech, J”rg,Bunse, Christian Pdf

Covers important concepts, issues, trends, methodologies, and technologies in quality assurance for model-driven software development.

Author : Anonim
Publisher : DEStech Publications, Inc
Page : 828 pages
File Size : 49,9 Mb
Release : 2014-11-03
Category : Computers
ISBN : 9781605951997

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International Conference on Computer Science and Software Engineering (CSSE 2014) by Anonim Pdf

CSSE2014 proceeding tends to collect the most up-to-date, comprehensive, and worldwide state-of-art knowledge on Computer Science and Software Engineering. All the accepted papers have been submitted to strict peer-review by 2–4 expert referees, and selected based on originality, significance and clarity for the purpose of the conference. The conference program is extremely rich, profound and featuring high-impact presentations of selected papers and additional late-breaking contributions. We sincerely hope that the conference would not only show the participants a broad overview of the latest research results on related fields, but also provide them with a significant platform for academic connection and exchange. The Technical Program Committee members have been working very hard to meet the deadline of review. The final conference program consists of 126 papers divided into 4 sessions.

Author : William L. Oberkampf,Christopher J. Roy
Publisher : Cambridge University Press
Page : 782 pages
File Size : 46,7 Mb
Release : 2010-10-14
Category : Computers
ISBN : 9781139491761

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Verification and Validation in Scientific Computing by William L. Oberkampf,Christopher J. Roy Pdf

Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.

Author : National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Board on Earth Sciences and Resources,Committee to Review the U.S. Geological Survey's Laboratories
Publisher : National Academies Press
Page : 89 pages
File Size : 49,7 Mb
Release : 2020-01-23
Category : Science
ISBN : 9780309495622

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Assuring Data Quality at U.S. Geological Survey Laboratories by National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Board on Earth Sciences and Resources,Committee to Review the U.S. Geological Survey's Laboratories Pdf

The U.S. Geological Survey (USGS) mission is to provide reliable and impartial scientific information to understand Earth, minimize loss of life and property from natural disasters, and manage water, biological, energy, and mineral resources. Data collection, analysis, interpretation, and dissemination are central to everything the USGS does. Among other activities, the USGS operates some 250 laboratories across the country to analyze physical and biological samples, including water, sediment, rock, plants, invertebrates, fish, and wildlife. The data generated in the laboratories help answer pressing scientific and societal questions or support regulation, resource management, or commercial applications. At the request of the USGS, this study reviews a representative sample of USGS laboratories to examine quality management systems and other approaches for assuring the quality of laboratory results and recommends best practices and procedures for USGS laboratories.

Author : Anonim
Publisher : Unknown
Page : 464 pages
File Size : 42,8 Mb
Release : 1995
Category : Aeronautics
ISBN : MINN:30000011064593

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Scientific and Technical Aerospace Reports by Anonim Pdf

Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Author : Michael A. Heroux,Padma Raghavan,Horst D. Simon
Publisher : SIAM
Page : 407 pages
File Size : 52,8 Mb
Release : 2006-01-01
Category : Computers
ISBN : 9780898716191

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Parallel Processing for Scientific Computing by Michael A. Heroux,Padma Raghavan,Horst D. Simon Pdf

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. This edited volume serves as an up-to-date reference for researchers and application developers on the state of the art in scientific computing. It also serves as an excellent overview and introduction, especially for graduate and senior-level undergraduate students interested in computational modeling and simulation and related computer science and applied mathematics aspects.Contents List of Figures; List of Tables; Preface; Chapter 1: Frontiers of Scientific Computing: An Overview; Part I: Performance Modeling, Analysis and Optimization. Chapter 2: Performance Analysis: From Art to Science; Chapter 3: Approaches to Architecture-Aware Parallel Scientific Computation; Chapter 4: Achieving High Performance on the BlueGene/L Supercomputer; Chapter 5: Performance Evaluation and Modeling of Ultra-Scale Systems; Part II: Parallel Algorithms and Enabling Technologies. Chapter 6: Partitioning and Load Balancing; Chapter 7: Combinatorial Parallel and Scientific Computing; Chapter 8: Parallel Adaptive Mesh Refinement; Chapter 9: Parallel Sparse Solvers, Preconditioners, and Their Applications; Chapter 10: A Survey of Parallelization Techniques for Multigrid Solvers; Chapter 11: Fault Tolerance in Large-Scale Scientific Computing; Part III: Tools and Frameworks for Parallel Applications. Chapter 12: Parallel Tools and Environments: A Survey; Chapter 13: Parallel Linear Algebra Software; Chapter 14: High-Performance Component Software Systems; Chapter 15: Integrating Component-Based Scientific Computing Software; Part IV: Applications of Parallel Computing. Chapter 16: Parallel Algorithms for PDE-Constrained Optimization; Chapter 17: Massively Parallel Mixed-Integer Programming; Chapter 18: Parallel Methods and Software for Multicomponent Simulations; Chapter 19: Parallel Computational Biology; Chapter 20: Opportunities and Challenges for Parallel Computing in Science and Engineering; Index.

Author : Henry Han
Publisher : Springer Nature
Page : 264 pages
File Size : 53,5 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9783031618161

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Next Generation Data Science by Henry Han Pdf

Author : Anastasia Ailamaki,Shawn Bowers
Publisher : Springer
Page : 668 pages
File Size : 50,8 Mb
Release : 2012-06-15
Category : Computers
ISBN : 9783642312359

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Scientific and Statistical Database Management by Anastasia Ailamaki,Shawn Bowers Pdf

This book constitutes the refereed proceedings of the 24th International Conference on Scientific and Statistical Database Management, SSDBM 2012, held in Chania, Grete, Greece, in June 2012. The 25 long and 10 short papers presented together with 2 keynotes, 1 panel, and 13 demonstration and poster papers were carefully reviewed and selected from numerous submissions. The topics covered are uncertain and probabilistic data, parallel and distributed data management, graph processing, mining multidimensional data, provenance and workflows, processing scientific queries, and support for demanding applications.

Author : Ivan Mistrik,Richard M Soley,Nour Ali,John Grundy,Bedir Tekinerdogan
Publisher : Morgan Kaufmann
Page : 416 pages
File Size : 55,7 Mb
Release : 2015-10-12
Category : Computers
ISBN : 9780128025413

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Software Quality Assurance by Ivan Mistrik,Richard M Soley,Nour Ali,John Grundy,Bedir Tekinerdogan Pdf

Software Quality Assurance in Large Scale and Complex Software-intensive Systems presents novel and high-quality research related approaches that relate the quality of software architecture to system requirements, system architecture and enterprise-architecture, or software testing. Modern software has become complex and adaptable due to the emergence of globalization and new software technologies, devices and networks. These changes challenge both traditional software quality assurance techniques and software engineers to ensure software quality when building today (and tomorrow’s) adaptive, context-sensitive, and highly diverse applications. This edited volume presents state of the art techniques, methodologies, tools, best practices and guidelines for software quality assurance and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited, to: quality attributes of system/software architectures; aligning enterprise, system, and software architecture from the point of view of total quality; design decisions and their influence on the quality of system/software architecture; methods and processes for evaluating architecture quality; quality assessment of legacy systems and third party applications; lessons learned and empirical validation of theories and frameworks on architectural quality; empirical validation and testing for assessing architecture quality. Focused on quality assurance at all levels of software design and development Covers domain-specific software quality assurance issues e.g. for cloud, mobile, security, context-sensitive, mash-up and autonomic systems Explains likely trade-offs from design decisions in the context of complex software system engineering and quality assurance Includes practical case studies of software quality assurance for complex, adaptive and context-critical systems

Author : Christian Bird,Tim Menzies,Thomas Zimmermann
Publisher : Elsevier
Page : 672 pages
File Size : 53,9 Mb
Release : 2015-09-02
Category : Computers
ISBN : 9780124115439

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The Art and Science of Analyzing Software Data by Christian Bird,Tim Menzies,Thomas Zimmermann Pdf

The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. Presents best practices, hints, and tips to analyze data and apply tools in data science projects Presents research methods and case studies that have emerged over the past few years to further understanding of software data Shares stories from the trenches of successful data science initiatives in industry

Author : Jeffrey C. Carver,Neil P. Chue Hong,George K. Thiruvathukal
Publisher : CRC Press
Page : 311 pages
File Size : 48,9 Mb
Release : 2016-11-03
Category : Computers
ISBN : 9781498743860

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Software Engineering for Science by Jeffrey C. Carver,Neil P. Chue Hong,George K. Thiruvathukal Pdf

Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts. The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains. About the Editors Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science (http://www.SE4Science.org/workshops). Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object. George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.