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Programming Elastic MapReduce

Author : Kevin Schmidt
Publisher : O'Reilly Media
ISBN 13 : 9781449363628
Total Pages : 155 pages
Book Rating : 4.3/5 (636 download)

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Book Synopsis Programming Elastic MapReduce by : Kevin Schmidt

Download or read book Programming Elastic MapReduce written by Kevin Schmidt and published by O'Reilly Media. This book was released on 2013 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you’ll learn how to assemble the building blocks necessary to solve your biggest data analysis problems. Get an overview of the AWS and Apache software tools used in large-scale data analysis Go through the process of executing a Job Flow with a simple log analyzer Discover useful MapReduce patterns for filtering and analyzing data sets Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow Learn the basics for using Amazon EMR to run machine learning algorithms Develop a project cost model for using Amazon EMR and other AWS tools

Handbook of Mathematics

Author : Thierry Vialar
Publisher : BoD - Books on Demand
ISBN 13 : 2955199001
Total Pages : 1134 pages
Book Rating : 4.9/5 (551 download)

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Book Synopsis Handbook of Mathematics by : Thierry Vialar

Download or read book Handbook of Mathematics written by Thierry Vialar and published by BoD - Books on Demand. This book was released on 2016-12-07 with total page 1134 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book consists of XI Parts and 28 Chapters covering all areas of mathematics. It is a tool for students, scientists, engineers, students of many disciplines, teachers, professionals, writers and also for a general reader with an interest in mathematics and in science. It provides a wide range of mathematical concepts, definitions, propositions, theorems, proofs, examples, and numerous illustrations. The difficulty level can vary depending on chapters, and sustained attention will be required for some. The structure and list of Parts are quite classical: I. Foundations of Mathematics, II. Algebra, III. Number Theory, IV. Geometry, V. Analytic Geometry, VI. Topology, VII .Algebraic Topology, VIII. Analysis, IX. Category Theory, X. Probability and Statistics, XI. Applied Mathematics. Appendices provide useful lists of symbols and tables for ready reference. The publisher’s hope is that this book, slightly revised and in a convenient format, will serve the needs of readers, be it for study, teaching, exploration, work, or research.

Machine Learning for Neuroscience

Author : Chuck Easttom
Publisher : CRC Press
ISBN 13 : 1000907120
Total Pages : 306 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Machine Learning for Neuroscience by : Chuck Easttom

Download or read book Machine Learning for Neuroscience written by Chuck Easttom and published by CRC Press. This book was released on 2023-07-31 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the growing need for machine learning and data mining in neuroscience. The book offers a basic overview of the neuroscience, machine learning and the required math and programming necessary to develop reliable working models. The material is presented in a easy to follow user-friendly manner and is replete with fully working machine learning code. Machine Learning for Neuroscience: A Systematic Approach, tackles the needs of neuroscience researchers and practitioners that have very little training relevant to machine learning. The first section of the book provides an overview of necessary topics in order to delve into machine learning, including basic linear algebra and Python programming. The second section provides an overview of neuroscience and is directed to the computer science oriented readers. The section covers neuroanatomy and physiology, cellular neuroscience, neurological disorders and computational neuroscience. The third section of the book then delves into how to apply machine learning and data mining to neuroscience and provides coverage of artificial neural networks (ANN), clustering, and anomaly detection. The book contains fully working code examples with downloadable working code. It also contains lab assignments and quizzes, making it appropriate for use as a textbook. The primary audience is neuroscience researchers who need to delve into machine learning, programmers assigned neuroscience related machine learning projects and students studying methods in computational neuroscience.

Learning Elastic Stack 7.0

Author : Pranav Shukla
Publisher : Packt Publishing Ltd
ISBN 13 : 1789958539
Total Pages : 461 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Learning Elastic Stack 7.0 by : Pranav Shukla

Download or read book Learning Elastic Stack 7.0 written by Pranav Shukla and published by Packt Publishing Ltd. This book was released on 2019-05-31 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0 Key FeaturesGain access to new features and updates introduced in Elastic Stack 7.0Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and KibanaExplore useful tips for using Elastic Cloud and deploying Elastic Stack in production environmentsBook Description The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and help you use it efficiently to build powerful real-time data processing applications. The first few sections of the book will help you understand how to set up the stack by installing tools, and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well versed with the fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems. What you will learnInstall and configure an Elasticsearch architectureSolve the full-text search problem with ElasticsearchDiscover powerful analytics capabilities through aggregations using ElasticsearchBuild a data pipeline to transfer data from a variety of sources into Elasticsearch for analysisCreate interactive dashboards for effective storytelling with your data using KibanaLearn how to secure, monitor and use Elastic Stack’s alerting and reporting capabilitiesTake applications to an on-premise or cloud-based production environment with Elastic StackWho this book is for This book is for entry-level data professionals, software engineers, e-commerce developers, and full-stack developers who want to learn about Elastic Stack and how the real-time processing and search engine works for business analytics and enterprise search applications. Previous experience with Elastic Stack is not required, however knowledge of data warehousing and database concepts will be helpful.

Mastering Kibana 6.x

Author : Anurag Srivastava
Publisher : Packt Publishing Ltd
ISBN 13 : 1788834038
Total Pages : 365 pages
Book Rating : 4.7/5 (888 download)

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Book Synopsis Mastering Kibana 6.x by : Anurag Srivastava

Download or read book Mastering Kibana 6.x written by Anurag Srivastava and published by Packt Publishing Ltd. This book was released on 2018-07-31 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with Kibana and its advanced functions to create interactive visualizations and dashboards Key Features Explore visualizations and perform histograms, stats, and map analytics Unleash X-Pack and Timelion, and learn alerting, monitoring, and reporting features Manage dashboards with Beats and create machine learning jobs for faster analytics Book Description Kibana is one of the popular tools among data enthusiasts for slicing and dicing large datasets and uncovering Business Intelligence (BI) with the help of its rich and powerful visualizations. To begin with, Mastering Kibana 6.x quickly introduces you to the features of Kibana 6.x, before teaching you how to create smart dashboards in no time. You will explore metric analytics and graph exploration, followed by understanding how to quickly customize Kibana dashboards. In addition to this, you will learn advanced analytics such as maps, hits, and list analytics. All this will help you enhance your skills in running and comparing multiple queries and filters, influencing your data visualization skills at scale. With Kibana’s Timelion feature, you can analyze time series data with histograms and stats analytics. By the end of this book, you will have created a speedy machine learning job using X-Pack capabilities. What you will learn Create unique dashboards with various intuitive data visualizations Visualize Timelion expressions with added histograms and stats analytics Integrate X-Pack with your Elastic Stack in simple steps Extract data from Elasticsearch for advanced analysis and anomaly detection using dashboards Build dashboards from web applications for application logs Create monitoring and alerting dashboards using Beats Who this book is for Mastering Kibana 6.x is for you if you are a big data engineer, DevOps engineer, or data scientist aspiring to go beyond data visualization at scale and gain maximum insights from their large datasets. Basic knowledge of Elasticstack will be an added advantage, although not mandatory.

Elastic Stack 8.x Cookbook

Author : Huage Chen
Publisher : Packt Publishing Ltd
ISBN 13 : 1837633509
Total Pages : 688 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis Elastic Stack 8.x Cookbook by : Huage Chen

Download or read book Elastic Stack 8.x Cookbook written by Huage Chen and published by Packt Publishing Ltd. This book was released on 2024-06-28 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environments Key Features Explore the diverse capabilities of the Elastic Stack through a comprehensive set of recipes Build search applications, analyze your data, and observe cloud-native applications Harness powerful machine learning and AI features to create data science and search applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionLearn how to make the most of the Elastic Stack (ELK Stack) products—including Elasticsearch, Kibana, Elastic Agent, and Logstash—to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This cookbook takes a practical approach to unlocking the full potential of Elastic Stack through detailed recipes step by step. Starting with installing and ingesting data using Elastic Agent and Beats, this book guides you through data transformation and enrichment with various Elastic components and explores the latest advancements in search applications, including semantic search and Generative AI. You'll then visualize and explore your data and create dashboards using Kibana. As you progress, you'll advance your skills with machine learning for data science, get to grips with natural language processing, and discover the power of vector search. The book covers Elastic Observability use cases for log, infrastructure, and synthetics monitoring, along with essential strategies for securing the Elastic Stack. Finally, you'll gain expertise in Elastic Stack operations to effectively monitor and manage your system.What you will learn Discover techniques for collecting data from diverse sources Visualize data and create dashboards using Kibana to extract business insights Explore machine learning, vector search, and AI capabilities of Elastic Stack Handle data transformation and data formatting Build search solutions from the ingested data Leverage data science tools for in-depth data exploration Monitor and manage your system with Elastic Stack Who this book is for This book is for Elastic Stack users, developers, observability practitioners, and data professionals ranging from beginner to expert level. If you’re a developer, you’ll benefit from the easy-to-follow recipes for using APIs and features to build powerful applications, and if you’re an observability practitioner, this book will help you with use cases covering APM, Kubernetes, and cloud monitoring. For data engineers and AI enthusiasts, the book covers dedicated recipes on vector search and machine learning. No prior knowledge of the Elastic Stack is required.

Getting Started with Elastic Stack 8.0

Author : Asjad Athick
Publisher : Packt Publishing Ltd
ISBN 13 : 1800564104
Total Pages : 474 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Getting Started with Elastic Stack 8.0 by : Asjad Athick

Download or read book Getting Started with Elastic Stack 8.0 written by Asjad Athick and published by Packt Publishing Ltd. This book was released on 2022-03-23 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use the Elastic Stack for search, security, and observability-related use cases while working with large amounts of data on-premise and on the cloud Key FeaturesLearn the core components of the Elastic Stack and how they work togetherBuild search experiences, monitor and observe your environments, and defend your organization from cyber attacksGet to grips with common architecture patterns and best practices for successfully deploying the Elastic StackBook Description The Elastic Stack helps you work with massive volumes of data to power use cases in the search, observability, and security solution areas. This three-part book starts with an introduction to the Elastic Stack with high-level commentary on the solutions the stack can be leveraged for. The second section focuses on each core component, giving you a detailed understanding of the component and the role it plays. You'll start by working with Elasticsearch to ingest, search, analyze, and store data for your use cases. Next, you'll look at Logstash, Beats, and Elastic Agent as components that can collect, transform, and load data. Later chapters help you use Kibana as an interface to consume Elastic solutions and interact with data on Elasticsearch. The last section explores the three main use cases offered on top of the Elastic Stack. You'll start with a full-text search and look at real-world outcomes powered by search capabilities. Furthermore, you'll learn how the stack can be used to monitor and observe large and complex IT environments. Finally, you'll understand how to detect, prevent, and respond to security threats across your environment. The book ends by highlighting architecture best practices for successful Elastic Stack deployments. By the end of this book, you'll be able to implement the Elastic Stack and derive value from it. What you will learnConfigure Elasticsearch clusters with different node types for various architecture patternsIngest different data sources into Elasticsearch using Logstash, Beats, and Elastic AgentBuild use cases on Kibana including data visualizations, dashboards, machine learning jobs, and alertsDesign powerful search experiences on top of your data using the Elastic StackSecure your organization and learn how the Elastic SIEM and Endpoint Security capabilities can helpExplore common architectural considerations for accommodating more complex requirementsWho this book is for Developers and solutions architects looking to get hands-on experience with search, security, and observability-related use cases on the Elastic Stack will find this book useful. This book will also help tech leads and product owners looking to understand the value and outcomes they can derive for their organizations using Elastic technology. No prior knowledge of the Elastic Stack is required.

Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques

Author : Olivas, Emilio Soria
Publisher : IGI Global
ISBN 13 : 1605667676
Total Pages : 852 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques by : Olivas, Emilio Soria

Download or read book Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques written by Olivas, Emilio Soria and published by IGI Global. This book was released on 2009-08-31 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.

Elastic Filaments of the Cell

Author : H.L. Granzier
Publisher : Springer Science & Business Media
ISBN 13 : 1461542677
Total Pages : 427 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Elastic Filaments of the Cell by : H.L. Granzier

Download or read book Elastic Filaments of the Cell written by H.L. Granzier and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elastic filaments refer mainly to titin, the largest of all known proteins. Titin was discovered initially in muscle cells, where it interconnects the thick filament with the Z-line. Titin forms a molecular spring that is responsible for maintaining the structural integrity of contracting muscle, ensuring efficient muscle contraction. More recently, it has become clear that titin is not restricted to muscle cells alone. For example, titin is found in chromosomes of neurons and also in blood platelets. This topic is fast becoming a focal point for research in understanding viscoelastic properties at the molecular, cellular, and tissue levels. In titin may lie a generic basis for biological viscoelasticity. It has become clear that titin may hold the key to certain clinical anomalies. For example, it is clear that titin-based ventricular stiffness is modulated by calcium and that titin is responsible for the altered stiffness in cardiomyopathies. It is also clear from evidence from a group of Finnish families that titin mutations may underlie some muscular dystrophies and that with other mutations chromatids fail to separate during mitosis. Thus, it is clear that this protein will have important clinical implications stemming from its biomechanical role. One aspect of this field is the bringing together of bioengineers with clinical researchers and biologists. Genetic and biochemical aspects of titin-related proteins are being studied together with front-line engineering approaches designed to measure the mechanics of titin either in small aggregates or in single molecules.

Mechanical Behavior of Materials

Author : Thomas H. Courtney
Publisher : Waveland Press
ISBN 13 : 1478608382
Total Pages : 750 pages
Book Rating : 4.4/5 (786 download)

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Book Synopsis Mechanical Behavior of Materials by : Thomas H. Courtney

Download or read book Mechanical Behavior of Materials written by Thomas H. Courtney and published by Waveland Press. This book was released on 2005-12-16 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: This outstanding text offers a comprehensive treatment of the principles of the mechanical behavior of materials. Appropriate for senior and graduate courses, it is distinguished by its focus on the relationship between macroscopic properties, material microstructure, and fundamental concepts of bonding and crystal structure. The current, second edition retains the original editions extensive coverage of nonmetallics while increasing coverage of ceramics, composites, and polymers that have emerged as structural materials in their own right and are now competitive with metals in many applications. It contains new case studies, includes solved example problems, and incorporates real-life examples. Because of the books extraordinary breadth and depth, adequate coverage of all of the material requires two full semesters of a typical three-credit course. Since most curricula do not have the luxury of allocating this amount of time to mechanical behavior of materials, the text has been designed so that material can be culled or deleted with ease. Instructors can select topics they wish to emphasize and are able to proceed at any level they consider appropriate.

Learning Elastic Stack 6.0

Author : Pranav Shukla
Publisher : Packt Publishing Ltd
ISBN 13 : 1787285863
Total Pages : 427 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Learning Elastic Stack 6.0 by : Pranav Shukla

Download or read book Learning Elastic Stack 6.0 written by Pranav Shukla and published by Packt Publishing Ltd. This book was released on 2017-12-22 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deliver end-to-end real-time distributed data processing solutions by leveraging the power of Elastic Stack 6.0 Key Features - Get to grips with the new features introduced in Elastic Stack 6.0 - Get valuable insights from your data by working with the different components of the Elastic stack such as Elasticsearch, Logstash, Kibana, X-Pack, and Beats - Includes handy tips and techniques to build, deploy and manage your Elastic applications efficiently on-premise or on the cloud Book Description The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems. What you will learn - Familiarize yourself with the different components of the Elastic Stack - Get to know the new functionalities introduced in Elastic Stack 6.0 - Effectively build your data pipeline to get data from terabytes or petabytes of data into Elasticsearch and Logstash for searching and logging - Use Kibana to visualize data and tell data stories in real-time - Secure, monitor, and use the alerting and reporting capabilities of Elastic Stack - Take your Elastic application to an on-premise or cloud-based production environment Who this book is for This book is for data professionals who want to get amazing insights and business metrics from their data sources. If you want to get a fundamental understanding of the Elastic Stack for distributed, real-time processing of data, this book will help you. A fundamental knowledge of JSON would be useful, but is not mandatory. No previous experience with the Elastic Stack is required.

Beginning Elastic Stack

Author : Vishal Sharma
Publisher : Apress
ISBN 13 : 1484216946
Total Pages : 180 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Beginning Elastic Stack by : Vishal Sharma

Download or read book Beginning Elastic Stack written by Vishal Sharma and published by Apress. This book was released on 2016-12-09 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to install, configure and implement the Elastic Stack (Elasticsearch, Logstash and Kibana) – the invaluable tool for anyone deploying a centralized log management solution for servers and apps. You will see how to use and configure Elastic Stack independently and alongside Puppet. Each chapter includes real-world examples and practical troubleshooting tips, enabling you to get up and running with Elastic Stack in record time. Fully customizable and easy to use, Elastic Stack enables you to be on top of your servers all the time, and resolve problems for your clients as fast as possible. Supported by Puppet and available with various plugins. Get started with Beginning Elastic Stack today and see why many consider Elastic Stack the best option for server log management. What You Will Learn: Install and configure Logstash Use Logstash with Elasticsearch and Kibana Use Logstash with Puppet and Foreman Centralize data processing Who This Book Is For: Anyone working on multiple servers who needs to search their logs using a web interface. It is ideal for server administrators who have just started their job and need to look after multiple servers efficiently.

Knowledge-Based and Intelligent Information and Engineering Systems, Part II

Author : Andreas Koenig
Publisher : Springer
ISBN 13 : 3642238637
Total Pages : 726 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Knowledge-Based and Intelligent Information and Engineering Systems, Part II by : Andreas Koenig

Download or read book Knowledge-Based and Intelligent Information and Engineering Systems, Part II written by Andreas Koenig and published by Springer. This book was released on 2011-09-15 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNAI 6881-LNAI 6884 constitutes the refereed proceedings of the 15th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2011, held in Kaiserslautern, Germany, in September 2011. Part 2: The total of 244 high-quality papers presented were carefully reviewed and selected from numerous submissions. The 70 papers of Part 2 are organized in topical sections on web intelligence, text and multimedia mining and retrieval, intelligent tutoring systems and e-learning environments, other / misc. intelligent systems topics, methods and techniques of artificial and computational intelligence in economics, finance and decision making, workshop on seamless integration of semantic technologies in computer-supported office work (sistcow), innovations in chance discovery, advanced knowledge-based systems, recent trends in knowledge engineering, smart systems, and their applications.

Spectral Methods for the Estimation of the Effective Elastic Thickness of the Lithosphere

Author : Jonathan Kirby
Publisher : Springer Nature
ISBN 13 : 3031108612
Total Pages : 472 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Spectral Methods for the Estimation of the Effective Elastic Thickness of the Lithosphere by : Jonathan Kirby

Download or read book Spectral Methods for the Estimation of the Effective Elastic Thickness of the Lithosphere written by Jonathan Kirby and published by Springer Nature. This book was released on 2022-11-25 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although several excellent works exist that describe the effective elastic thickness (Te) of the lithosphere—its theory, significance and relevance to Earth sciences in general—none cover the details of the methods for its estimation. This book brings together the disparate knowledge required to estimate Te in one handy volume: signal processing, harmonic analysis, civil engineering, and foundational mathematics and physics, in addition to the relevant geophysics and, to a lesser extent, geology. Its two principal focus areas are spectral estimation, covering various approaches to estimating the admittance and coherence between gravity and topography using Slepian multitapers and fan wavelets; and algebraic and finite difference solutions of the plate bending partial differential equation in a variety of geological settings. This book would be suitable for postgraduate students beginning their research, up to faculty professors interested in diversifying their skills.

Handbook of Elastic Properties of Solids, Liquids, and Gases, Four-Volume Set

Author : Moises Levy
Publisher : Academic Press
ISBN 13 : 0080924255
Total Pages : 2513 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Handbook of Elastic Properties of Solids, Liquids, and Gases, Four-Volume Set by : Moises Levy

Download or read book Handbook of Elastic Properties of Solids, Liquids, and Gases, Four-Volume Set written by Moises Levy and published by Academic Press. This book was released on 2000-10-23 with total page 2513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sound waves propagate through galactic space, through two-dimensional solids, through biological systems, through normal and dense stars, and through everything that surrounds us; the earth, the sea, and the air. We use sound to locate objects, to identify objects, to understand processes going on in nature, to communicate, and to entertain. The elastic properties of materials determine the velocity of sound in them and tell us about their response to stresses something which is very important when we are trying to construct, manufacture, or create something with any material. The Handbook of Elastic Properties of Materials will provide these characteristics for almost everything whose elastic properties has ever been measured or deduced in a concise and approachable manner. Leading experts will explain the significance of the elastic properties as they relate to intrinsic microscopic behavior, to manufacturing, to construction, or to diagnosis. They will discuss the propagation of sound in newly discovered or created materials, and in common materials which are being investigated with a fresh outlook. The Handbook will provide the reader with the elastic properties of the common and mundane, the novel and unique, the immense and the microscopic, and the exhorbitantly dense and the ephemeral.. You will also find the measurement. And theoretical techniques that have been developed and invented in order to extract these properties from a reluctant nature and recalcitrant systems. Key Features * Solids, liquids and gases covered in one handbook * Articles by experts describing insights developed over long and Illustrious careers * Properties of esoteric substances, such as normal and dense stars, superfluid helium three, fullerness, two dimensional solids, extraterrestial substances, gems and planetary atmospheres * Properties of common materials such as food, wood used for musical instruments, paper, cement, and cork * Modern dynamic elastic properties measurement techniques

Bioinformatics and Biomedical Engineering

Author : Ignacio Rojas
Publisher : Springer Nature
ISBN 13 : 3031077040
Total Pages : 478 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Bioinformatics and Biomedical Engineering by : Ignacio Rojas

Download or read book Bioinformatics and Biomedical Engineering written by Ignacio Rojas and published by Springer Nature. This book was released on 2022-06-07 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 9th International Work-Conference on IWBBIO 2020, held in Maspalomas, Gran Canaria, Spain, in June 2022. The total of 75 papers presented in the proceedings, was carefully reviewed and selected from 212 submissions. The papers cover the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.

Elastic Shape Analysis of Three-Dimensional Objects

Author : Ian H. Jermyn
Publisher : Springer Nature
ISBN 13 : 3031018192
Total Pages : 169 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Elastic Shape Analysis of Three-Dimensional Objects by : Ian H. Jermyn

Download or read book Elastic Shape Analysis of Three-Dimensional Objects written by Ian H. Jermyn and published by Springer Nature. This book was released on 2022-05-31 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical analysis of shapes of 3D objects is an important problem with a wide range of applications. This analysis is difficult for many reasons, including the fact that objects differ in both geometry and topology. In this manuscript, we narrow the problem by focusing on objects with fixed topology, say objects that are diffeomorphic to unit spheres, and develop tools for analyzing their geometries. The main challenges in this problem are to register points across objects and to perform analysis while being invariant to certain shape-preserving transformations. We develop a comprehensive framework for analyzing shapes of spherical objects, i.e., objects that are embeddings of a unit sphere in ℝ, including tools for: quantifying shape differences, optimally deforming shapes into each other, summarizing shape samples, extracting principal modes of shape variability, and modeling shape variability associated with populations. An important strength of this framework is that it is elastic: it performs alignment, registration, and comparison in a single unified framework, while being invariant to shape-preserving transformations. The approach is essentially Riemannian in the following sense. We specify natural mathematical representations of surfaces of interest, and impose Riemannian metrics that are invariant to the actions of the shape-preserving transformations. In particular, they are invariant to reparameterizations of surfaces. While these metrics are too complicated to allow broad usage in practical applications, we introduce a novel representation, termed square-root normal fields (SRNFs), that transform a particular invariant elastic metric into the standard L2 metric. As a result, one can use standard techniques from functional data analysis for registering, comparing, and summarizing shapes. Specifically, this results in: pairwise registration of surfaces; computation of geodesic paths encoding optimal deformations; computation of Karcher means and covariances under the shape metric; tangent Principal Component Analysis (PCA) and extraction of dominant modes of variability; and finally, modeling of shape variability using wrapped normal densities. These ideas are demonstrated using two case studies: the analysis of surfaces denoting human bodies in terms of shape and pose variability; and the clustering and classification of the shapes of subcortical brain structures for use in medical diagnosis. This book develops these ideas without assuming advanced knowledge in differential geometry and statistics. We summarize some basic tools from differential geometry in the appendices, and introduce additional concepts and terminology as needed in the individual chapters.