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Hyperbolic Structures: Shukhov's Lattice Towers - Forerunners of Modern Lightweight Construction
by Matthias BeckhHyperbolic structures analyses the interactions of form with the structural behaviour of hyperbolic lattice towers, and the effects of the various influencing factors were determined with the help of parametric studies and load capacity analyses. This evaluation of Shukhov’s historical calculations and the reconstruction of the design and development process of his water towers shows why the Russian engineer is considered not only a pathfinder for lightweight structures but also a pioneer of parametrised design processes.
Hyperbranched Polydendrons
by Fiona L. HattonThis thesis outlines the first synthesis of a new complex branched polymer architecture that aims to combine the benefits of dendrimers with the simplicity of conventional polymerisation. There is no other available literature on these remarkable materials, dubbed hyperbranched polydendrons, due to their novelty. The new materials were shown to have very high molecular weights (>1,000,000 g/mol), exceptional self-assembly and encapsulation behaviour and unparalleled functionalisation capabilities, and were studied pharmacologically to determine their potential as oral nanomedicine candidates. The detailed investigation of the chemical variables involved in synthesising hyperbranched polydendrons has shown that their self-assembly and pharmacological behaviour can be turned on and off and fine-tuned by altering the composition of the materials. The permeation of the self-assembled particles through model gut epithelium suggests the potential for oral dosing of drug loaded nanomedicines that result in circulating nanoparticles - a research goal that is currently being pursued by several groups around the globe.
Hyperbranched Polymers
by Deyue Yan Chao Gao Holger FreyA much-needed overview of the state of the art of hyperbranched polymersThe last two decades have seen a surge of interest in hyperbranched polymers due to their ease of synthesis on a large scale and their promising applications in diverse fields, from medicine to nanotechnology.Written by leading scientists in academia and industry, this book provides for the first time a comprehensive overview of the topic, bringing together in one complete volume a wealth of information previously available only in articles scattered across the literature. Drawing on their work at the cutting edge of this dynamic area of research, the authors cover everything readers need to know about hyperbranched polymers when designing highly functional materials. Clear, thorough discussions include:How irregular branching affects polymer properties and their potential applicationsImportant theoretical basics, plus a useful summary of characterization techniquesHow hyperbranched polymers compare with dendrimers as well as linear polymersFuture trends in the synthesis and application of hyperbranched polymersGeared to novices and experts alike, Hyperbranched Polymers is a must-have resource for anyone working in polymer architectures, polymer engineering, and functional materials. It is also useful for scientists in related fields who need a primer on the synthesis, theory, and applications of hyperbranched polymers.
Hyperconcentrated Flow (Iahr Monographs)
by Zhaohui Wan Zhaoyin WangConsiders hyperconcentrated flow, a phenomenon peculiar to the Yellow River Basin. The feasibility of using the potential for sediment carrying by hyperconcentrated flow can also be applied to topics such as hypertransport, debris flow and sediment releases from reservoirs.
Hyperconnectivity and Digital Reality: Towards the Eutopia of Being Human
by Kathrin Otrel-CassThis book addresses the topic of hyperconnectivity by building on, expanding, and critically examining issues that have to do with information communication technology (ICT) and networked societies. The book explores questions relating to attention and consciousness, techno-capitalism and communicative action taking. Adopting different philosophical angles to assess the challenges we face due to our entanglement with hyperconnected technologies, the book studies performance and performativity in a digitised world by considering the unfolding of our onlife and by looking at what this means to educated future scientists and engineers in a hyperconnected world. The book further discusses digital activities as the new constructs of ourselves and poses questions about how much literacy is needed for us not to be enslaved by those constructs. The book also explores the challenges of hyperconnectivity and the health sector to showcase the vulnerabilities we are increasingly exposed to. It makes clear that - since the boundaries between on- and offline are becoming increasingly blurred - we will require new, flexible frameworks that reconsider what it means to be human in a hyperconnected world.
Hyperelasticity Primer
by Robert M. HackettThis book introduces the subject of hyperelasticity in a concise manner mainly directed to students of solid mechanics who have a familiarity with continuum mechanics. It focuses on important introductory topics in the field of nonlinear material behavior and presents a number of example problems and solutions to greatly aid the student in mastering the difficulty of the subject and gaining necessary insight. Professor Hackett delineates the concepts and applications of hyperelasticity in such a way that a new student of the subject can absorb the intricate details without having to wade through excessively complicated formulations. The book further presents significant review material on intricately related subjects such as tensor calculus and introduces some new formulations.
Hyperelasticity Primer
by Robert M. HackettThis book introduces the subject of hyperelasticity in a concise manner mainly directed to students of solid mechanics who have a familiarity with continuum mechanics. It focuses on important introductory topics in the field of nonlinear material behavior and presents a number of example problems and solutions to greatly aid the student in mastering the difficulty of the subject and gaining necessary insight. Professor Hackett delineates the concepts and applications of hyperelasticity in such a way that a new student of the subject can absorb the intricate details without having to wade through excessively complicated formulations. The book further presents significant review material on intricately related subjects such as tensor calculus and introduces some new formulations.
Hypergraph Theory
by Alain BrettoThis book provides an introduction to hypergraphs, its aim being to overcome the lack of recent manuscripts on this theory. In the literature hypergraphs have many other names such as set systems and families of sets. This work presents the theory of hypergraphs in its most original aspects, while also introducing and assessing the latest concepts on hypergraphs. The variety of topics, their originality and novelty are intended to help readers better understand the hypergraphs in all their diversity in order to perceive their value and power as mathematical tools. This book will be a great asset to upper-level undergraduate and graduate students in computer science and mathematics. It has been the subject of an annual Master's course for many years, making it also ideally suited to Master's students in computer science, mathematics, bioinformatics, engineering, chemistry, and many other fields. It will also benefit scientists, engineers and anyone else who wants to understand hypergraphs theory.
The Hyperlink: The CyberSkunk Files
by Joel NaftaliThe sequel picks up where the first book ended, but now Dr. Roach's army is even more powerful. He is so strong that he is able to do the unthinkable--he's able to scan-in the CyberSkunks! What will happen to the skunks and can they survive? Will Doug and Jamie be able to save their super-skunk friends and finally stop Dr. Roach, Commander Hund, and VIRUS before they take over the world? In this series, thirteen-year-old Doug narrates the stories in a series of blog posts (many interrupted by either his best friend, smart girl Jamie, or the artificial intelligence who mothers him, Auntie M) about how he's trying to save the world and clear his name after being branded a terrorist and a murderer.
Hypermedia and Literary Studies
by Paul Delany George P. LandowThe essays in Hypermedia and Literary Studies discuss the theoretical and practical opportunities and challenges posed by the convergence of hypermedia systems and traditional written texts.
Hypermedia Learning Environments: Instructional Design and Integration
by Piet A. M. Kommers Scott Grabinger Joanna C. DunlapHypermedia and multimedia have penetrated the world of computer games, Internet, and CD-ROM based reference manuals. However, the fields of education, schooling, and training ask more specific benefits from them. This book provides practical approaches to transform these media into learning tools. Crucial helping steps include the migration from expository to exploratory learning strategies, the integration of collaborative learning practices in plenary and individualistic teaching styles, and the evolution from test-driven to experience-oriented training. This volume has three goals: * to discuss the concepts of hypermedia, multimedia, and hypertext and review pertinent research lines; * to provide guidelines and suggestions for developing multimedia applications; and * to place technology within a broader context of education and training through a discussion of rich environments for active learning (REALs). The book takes a developmental focus to helpf readers set up and manage the process of developing a multimedia application. It is not a technical or a how-to manual on working with video, sound, digitized graphics, or computer code. The text takes a unique approach to the idea of media-- viewing media as delivery systems: if video is called for, use it; if sound will help in an application, use it. The fundamental guidelines presented here are usually not media specific. Media works only within the strategies with which they are used. Aimed at practitioners--people who teach about or develop multimedia and hypermedia applications--this volume carefully examines the main components and issues in developing applications. It provides suggestions and heuristics for sound, fundamental design processes.
Hyperordered Structures in Materials: Disorder in Order and Order within Disorder (The Materials Research Society Series)
by Koichi HayashiThis book introduces characterizations of hyperordered structures using latest quantum beam technologies, the advanced theoretical methods for understanding the roles of the structures, and the state-of-the-arts materials containing the structures. In this book, the authors focus on the importance of defect complexes to improve functionality of crystals and that of orders of network structures to improve functionality of glass materials. These features can be regarded as interphases between perfect crystals and perfect amorphous, and they are the key factor for the evolution of materials science to a new dimension. The authors call such interphases "hyperordered structures" in this book. This is the first book that comprehensively summarizes glass science, defect science, and quantum beam science. It is valuable not only for active researchers in industry and academia but also graduate students.
Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
by Eva Bartz Thomas Bartz-Beielstein Martin Zaefferer Olaf MersmannThis open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here. The case studies presented in this book can be run on a regular desktop or notebook computer. No high-performance computing facilities are required. The idea for the book originated in a study conducted by Bartz & Bartz GmbH for the Federal Statistical Office of Germany (Destatis). Building on that study, the book is addressed to practitioners in industry as well as researchers, teachers and students in academia. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II). Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms. The book presents analyses of more than 30 hyperparameters from six relevant ML and DL methods, and provides source code so that users can reproduce the results. Accordingly, it serves as a handbook and textbook alike.
Hyperschallbahn: Anforderungen an ein Europanetz für 7.200km/h
by Andreas ScholzDas Buch beschreibt die Anforderungen an ein Europanetz der Hyperschallbahn auf der Basis der Vakuum-Magnetbahn-Technologie. Es veranschaulicht die vorhandenen und perspektivischen Marktpotenziale im kontinentalen und interkontinentalen Verkehr unter der Maßgabe, dass der Luftverkehr weitgehend durch das neue Verkehrssystem abgelöst wird. Das Buch leitet die Anforderungen an die wesentlichen Systemelemente und die Netzgestaltung ab, um die Marktpotenziale vollständig zu erschließen. Es beschreibt ein Basisnetz und ermittelt auf dieser Grundlage die Entwicklung der Erträge und Kosten sowie die Finanzierung des Systems in einer definierten Zeitlinie über einen gesamten Lebenszyklus. Ergänzend werden weitere breitgefächerte Nachfrage-Szenarien aufgezeigt und technisch-betriebswirtschaftlich bewertet. Das Buch beschreibt die Auswirkungen des Vakuum-Magnetbahn-Systems auf den Luftverkehr und zeigt abschließend Handlungsfelder für die Realisierung des neuen Verkehrssystems auf.
Hypersonic Curved Compression Inlet and Its Inverse Design (Advanced Topics in Science and Technology in China #56)
by Kunyuan ZhangThis book presents systematic research results on curved shock wave-curved compression surface applied to the compression surface design of supersonic–hypersonic inlet, which is a brand new inlet design. The concept of supersonic inlet curved compression discussed originated from the author’s research at the Deutsches Zentrum fur Luft- und Raumfahrt (DLR SM-ES) in the early 1990s. This book introduces the research history, working characteristics, performance calculation and aerodynamic configuration design method of this compression mode in detail. It also describes method of estimating the minimum drag in inlet and drag reduction effect of curved compression and proposes a new index for evaluating unit area compression efficiency of the inlet. Further, it reviews the relevant recent research on curved compression. As such it is a valuable resource for students, researchers and scientists in the fields of hypersonic propulsion and aeronautics.
Hypersonic Missile Nonproliferation: Hindering the Spread of a New Class of Weapons
by Richard H. Speier George Nacouzi Carrie Lee Richard M. MooreThis report examines the implications of the proliferation of hypersonic missiles and possible measures to hinder it. This report first explores some of the potential strategic implications of the proliferation of hypersonic missile technology beyond the three major powers, the United States, Russia, and China. It then examines the process of such proliferation. And finally, it discusses possible means for hindering such proliferation.
Hyperspectral Data Processing: Algorithm Design and Analysis
by Chein-I ChangHyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories. Most materials covered in this book can be used in conjunction with the author's first book, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, without much overlap. Many results in this book are either new or have not been explored, presented, or published in the public domain. These include various aspects of endmember extraction, unsupervised linear spectral mixture analysis, hyperspectral information compression, hyperspectral signal coding and characterization, as well as applications to conceal target detection, multispectral imaging, and magnetic resonance imaging. Hyperspectral Data Processing contains eight major sections: Part I: provides fundamentals of hyperspectral data processing Part II: offers various algorithm designs for endmember extraction Part III: derives theory for supervised linear spectral mixture analysis Part IV: designs unsupervised methods for hyperspectral image analysis Part V: explores new concepts on hyperspectral information compression Parts VI & VII: develops techniques for hyperspectral signal coding and characterization Part VIII: presents applications in multispectral imaging and magnetic resonance imaging Hyperspectral Data Processing compiles an algorithm compendium with MATLAB codes in an appendix to help readers implement many important algorithms developed in this book and write their own program codes without relying on software packages. Hyperspectral Data Processing is a valuable reference for those who have been involved with hyperspectral imaging and its techniques, as well those who are new to the subject.
Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing (Advances in Computer Vision and Pattern Recognition)
by Saurabh Prasad Jocelyn ChanussotThis book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.
Hyperspectral Image Fusion
by Subhasis Chaudhuri Ketan KotwalHyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with complete details so that practitioners can easily implement them. It is also demonstrated how one can select only a few specific bands to speed up the process of fusion by exploiting spatial correlation within successive bands of the hyperspectral data. While the techniques for fusion of hyperspectral images are being developed, it is also important to establish a framework for objective assessment of such techniques. This monograph has a dedicated chapter describing various fusion performance measures that are applicable to hyperspectral image fusion. This monograph also presents a notion of consistency of a fusion technique which can be used to verify the suitability and applicability of a technique for fusion of a very large number of images. This book will be a highly useful resource to the students, researchers, academicians and practitioners in the specific area of hyperspectral image fusion, as well as generic image fusion.
Hyperspectral Imaging Analysis and Applications for Food Quality (Food Analysis & Properties)
by N. C. Basantia Leo M.L. Nollet Mohammed KamruzzamanIn processing food, hyperspectral imaging, combined with intelligent software, enables digital sorters (or optical sorters) to identify and remove defects and foreign material that are invisible to traditional camera and laser sorters. Hyperspectral Imaging Analysis and Applications for Food Quality explores the theoretical and practical issues associated with the development, analysis, and application of essential image processing algorithms in order to exploit hyperspectral imaging for food quality evaluations. It outlines strategies and essential image processing routines that are necessary for making the appropriate decision during detection, classification, identification, quantification, and/or prediction processes. Features Covers practical issues associated with the development, analysis, and application of essential image processing for food quality applications Surveys the breadth of different image processing approaches adopted over the years in attempting to implement hyperspectral imaging for food quality monitoring Explains the working principles of hyperspectral systems as well as the basic concept and structure of hyperspectral data Describes the different approaches used during image acquisition, data collection, and visualization The book is divided into three sections. Section I discusses the fundamentals of Imaging Systems: How can hyperspectral image cube acquisition be optimized? Also, two chapters deal with image segmentation, data extraction, and treatment. Seven chapters comprise Section II, which deals with Chemometrics. One explains the fundamentals of multivariate analysis and techniques while in six other chapters the reader will find information on and applications of a number of chemometric techniques: principal component analysis, partial least squares analysis, linear discriminant model, support vector machines, decision trees, and artificial neural networks. In the last section, Applications, numerous examples are given of applications of hyperspectral imaging systems in fish, meat, fruits, vegetables, medicinal herbs, dairy products, beverages, and food additives.
Hyperspectral Imaging Technology in Food and Agriculture
by Bosoon Park Renfu LuHyperspectral imaging or imaging spectroscopy is a novel technology for acquiring and analysing an image of a real scene by computers and other devices in order to obtain quantitative information for quality evaluation and process control. Image processing and analysis is the core technique in computer vision. With the continuous development in hardware and software for image processing and analysis, the application of hyperspectral imaging has been extended to the safety and quality evaluation of meat and produce. Especially in recent years, hyperspectral imaging has attracted much research and development attention, as a result rapid scientific and technological advances have increasingly taken place in food and agriculture, especially on safety and quality inspection, classification and evaluation of a wide range of food products, illustrating the great advantages of using the technology for objective, rapid, non-destructive and automated safety inspection as well as quality control. Therefore, as the first reference book in the area, Hyperspectral Imaging Technology in Food and Agriculture focuses on these recent advances. The book is divided into three parts, which begins with an outline of the fundamentals of the technology, followed by full covering of the application in the most researched areas of meats, fruits, vegetables, grains and other foods, which mostly covers food safety and quality as well as remote sensing applicable for crop production. Hyperspectral Imaging Technology in Food and Agriculture is written by international peers who have both academic and professional credentials, with each chapter addressing in detail one aspect of the relevant technology, thus highlighting the truly international nature of the work. Therefore the book should provide the engineer and technologist working in research, development, and operations in the food and agricultural industry with critical, comprehensive and readily accessible information on the art and science of hyperspectral imaging technology. It should also serve as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions.
Hyperspectral Indices and Image Classifications for Agriculture and Vegetation (Hyperspectral Remote Sensing of Vegetation, Second Edition)
by Prasad S. Thenkabail, John G. Lyon and Alfredo HueteWritten by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of- the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. This volume presents and discusses topics such as the non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, and forest leaf chlorophyll content, among others. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume II through the editors’ perspective.Key Features of Volume II: Provides the fundamentals of hyperspectral narrowband vegetation indices and hyperspectral derivative vegetation indices and their applications in agriculture and vegetation studies. Discusses the latest advances in hyperspectral image classification methods and their applications. Explains the massively big hyperspectral sensing data processing on cloud computing architectures. Highlights the state-of-the-art methods in the field of hyperspectral narrowband vegetation indices for monitoring agriculture, vegetation, and their properties such as plant water content, nitrogen, chlorophyll, and others at leaf, canopy, field, and landscape scales. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.
Hyperspectral Remote Sensing: Principles and Applications (Remote Sensing Applications Series)
by Marcus Borengasser William S. Hungate Russell WatkinsLand management issues, such as mapping tree species, recognizing invasive plants, and identifying key geologic features, require an understanding of complex technical issues before the best decisions can be made. Hyperspectral remote sensing is one the technologies that can help with reliable detection and identification. Presenting the fundamenta
Hyperspectral Remote Sensing: Fundamentals and Practices (Remote Sensing Applications Series)
by Ruiliang PuAdvanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This book will present in one volume complete solutions from concepts, fundamentals, and methods of acquisition of hyperspectral data to analyses and applications of the data in a very coherent manner. It will help readers to fully understand basic theories of HRS, how to utilize various field spectrometers and bioinstruments, the importance of radiometric correction and atmospheric correction, the use of analysis, tools and software, and determine what to do with HRS technology and data.
Hyperspectral Remote Sensing in Urban Environments
by Shailesh Deshpande Arun InamdarThis book is intended to provide a detailed perspective on techniques and challenges in detecting urban materials using hyperspectral data including a systematic perspective on the spectral properties of the materials and methods. It adopts a process chain approach in describing the topic and explains image processing steps from reflectance calibration to final insights. The objective of the book is to provide in-depth information on hyperspectral remote sensing of urban materials covering global case studies as applicable. Features: Covers the complete processing chain of hyperspectral data specifically in urban environments; Gives more information about the mapping and classification of urban scenes; Includes information from basic imaging spectroscopy to advanced methods such as deep learning for imaging spectroscopy; Reviews detailed spectral characteristics of urban materials commonly found in world cities; Discusses advanced supervised methods such as deep learning with a due focus on hyperspectral data analysis. This book is aimed at professionals and graduate students in Hyperspectral Imaging, Urban Remote Sensing, and Hyperspectral Image Processing.