Software til industrien og teknologi

This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques.Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.

This book reports on several advances in architectural graphics, with a special emphasis on education, training, and research. It gathers a selection of contributions to the 19th International Conference on Graphic Design in Architecture, EGA 2022, held on June 2-4, 2022, in Cartagena, Spain, with the motto: "e;Beyond drawings. The use of architectural graphics"e;.

This book presents data mining methods in the field of healthcare management in a practical way. Healthcare quality and disease prevention are essential in today¿s world. Healthcare management faces a number of challenges, e.g. reducing patient growth through disease prevention, stopping or slowing disease progression, and reducing healthcare costs while improving quality of care. The book provides an overview of current healthcare management problems and highlights how analytics and knowledge management have been used to better cope with them. It then demonstrates how to use descriptive and predictive analytics tools to help address these challenges. In closing, it presents applications of software solutions in the context of healthcare management. Given its scope, the book will appeal to a broad readership, from researchers and students in the operations research and management field to practitioners such as data analysts and decision-makers who work in the healthcare sector.

This book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), during 20-22 October 2021. The book includes works related to the field of vision- and sensor-based human action or activity and behavior analysis and recognition. It covers human activity recognition (HAR), action understanding, gait analysis, gesture recognition, behavior analysis, emotion, and affective computing, and related areas. The book addresses various challenges and aspects of human activity recognition-both in sensor-based and vision-based domains. It can be considered as an excellent treasury related to the human activity and behavior computing. 

This book explores the significance, challenges and benefits of digital twin technologies; it focuses in particular on various architectures, applications and challenges in the implementation of digital twins to Machine Learning and Internet of Things capabilities. Through the analysis of smart city and smart manufacturing case studies, the book explores the benefits of digital technologies in the Industry 4.0 Era.

This book covers important advances in the area of human-robot collaboration, aiming at future industrial applications. It will be useful to advanced students, researchers, engineers and entrepreneurs working on human-robot collaboration research and technologies, and related fields.

This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23¿28, 2022.The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops:¿ 3rd International Workshop on Event Data and Behavioral Analytics (EDBA)¿ 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)¿ 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics)¿ 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)¿3rd International Workshop on Streaming Analytics for Process Mining (SA4PM)¿ 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)¿ 1st International Workshop on Education meets Process Mining (EduPM)¿ 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)

Increase in consumer awareness of nutritional habits has placed automatic food analysis in the spotlight in recent years. However, food-logging is cumbersome and requires sufficient knowledge of the food item consumed. Additionally, keeping track of every meal can become a tedious task. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges because most of the current methods for dietary assessment must rely on memory to recall foods eaten. Food understanding from digital media has become a challenge with important applications in many different domains. Substantial research has demonstrated that digital imaging accurately estimates dietary intake in many environments and it has many advantages over other methods. However, how to derive the food information effectively and efficiently remains a challenging and open research problem. The provided recommendations could be based on calorie counting, healthy food and specific nutritional composition. In addition, if we also consider a system able to log the food consumed by every individual along time, it could provide health-related recommendations in the long-term.Computer Vision specialists have developed new methods for automatic food intake monitoring and food logging. Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics are key for sustainable food understanding. The need for AI based technologies that allow tracking of physical activities and nutrition habits are rapidly increasing and automatic analysis of food images plays an important role. Computer vision and image processing offers truly impressive advances to various applications like food analytics and healthcare analytics and can aid patients in keeping track of their calorie count easily by automating the calorie counting process. It can inform the user about the number of calories, proteins, carbohydrates, and other nutrients provided by each meal. The information is provided in real-time and thus proves to be an efficient method of nutrition tracking and can be shared with the dietician over the internet, reducing healthcare costs. This is possible by a system made up of, IoT sensors, Cloud-Fog based servers and mobile applications. These systems can generate data or images which can be analyzed using machine learning algorithms.Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed. This book examines the usageof 4.0 industrial revolution technologies such as computer vision and artificial intelligence in the field of healthcare and food industry, providing a comprehensive understanding of computer vision and intelligence methodologies which tackles the main challenges of food and health processing. Additionally, the text focuses on the employing sustainable 4 IR technologies through which consumers can attain the necessary diet and nutrients and can actively monitor their health. In focusing specifically on the food industry and healthcare analytics, it serves as a single source for multidisciplinary information involving AI and vision techniques in the food and health sector. Current advances such as Industry 4.0 and Fog-Cloud based solutions are covered in full, offering readers a fully rounded view of these rapidly advancing health and food analysis systems.

This book constitutes the refereed proceedings of the 9th EAI International Conference on IoT Technologies for HealthCare, HealthyIoT 2022, which was held in Braga, Portugal, in November 2022.The 11 full papers and 2 invited papers presented in this volume were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: Analysis of Measurement Data in IoT Technologies for Health; and IoT Applications in Research and Clinical Practice.

This edition consists of two parts. This is Part II and you can find Part I by going to ISBN 9780134658940. A bundle of both books is available at a special, discounted price; please see the listing for ISBN 9780138166489.For nearly three decades The LaTeX Companion has been the essential resource for anyone using LaTeX to create high-quality documents. Just like the earlier editions, this completely updated third edition is designed to serve as the stable core resource for users: covering all aspects of document production, from detailed micro-typography questions and macro-typography (heading design, lists, mathematics, tables, graphics, fonts, page-layout, etc.) to bibliography and index production. All chapters have been thoroughly revised and in many cases largely extended to describe new important functionality and features. More than 5,000 add-on packages have been analyzed in detail, out of which roughly 10% have been chosen for inclusion in The LaTeX Companion. All important aspects of these packages are described to provide the user once again with a satisfying one-stop-shop experience for the decade to come. Following the concept of the earlier versions, the new edition is full of novel tips and tricks for using LaTeX in both traditional and modern typesetting, and also shows you how to customize layout features to your own needs--from phrases and paragraphs to headings, lists, and pages. New to this edition: Inclusion of, or more details on, important new or changed large-scale packages, e.g., biblatex, fontspec, hyperref, mathtools, siunitx, tcolorbox, tikz, and unicode-math, to name just a few. Coverage of newer engine developments, e.g., the use of Unicode engines with LaTeX. Discussion of all vital changes to LaTeX itself, which is is undergoing a transformation to keep it relevant in the years to come. Examples are the new hook management system for LaTeX, the extended document command syntax, and the inclusion of the LaTeX3 programming layer into the LaTeX format. Inclusion of many new, useful (smaller) packages in all chapters--each offering additional functionality. Two new chapters devoted to the use of high-quality fonts for text and math (OpenType, TrueType, and Type 1), now available for use with LaTeX. They offer a comprehensive set of samples to choose from (more than 120 text font families and 40 math font layouts), compiled with the help of an expert font designer. Revised discussions of multi-lingual support by the authors of the babel system to typeset text from a wide range of languages and cultures. The chapter on bibliography generation now also covers the styles made available with biblatex and biber. More than 1,500 fully tested examples (an increase of 30%) that illustrate the text and solve typographical and technical problems--all ready to run! Part I contains chapters on: Introduction to LaTeX and its history LaTeX's document structure Basic formatting tools (paragraph level) Basic formatting tools (larger structures) Page layout Tabular material Float handling Graphics generation and manipulation Font selection and encodings This volume (Part II) of the edition covers: Text and symbol fonts Higher mathematics Fonts in formulas Localizing documents Index generation Bibliography generation Managing citations Package documentation tools LaTeX programming and troubleshooting problems In short, the two parts of The LaTeX Companion, Third Edition, cover all you need to know about LaTeX use in the twenty-first century, while also offering expertly curated discussions of the best add-on packages now available.The examples can be downloaded from https://ctan.org/pkg/tlc3-examples.Register your book for convenient access to downloads, updates, and/or corrections as they become available.

This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of patients with critical health situation is required. It allows monitoring of their health status during daily life activities such as during sports, walking and sleeping. It is realizable by intelligently hybridizing the modern IoT framework, wireless biomedical implants and cloud computing. Such solutions are currently under development and in testing phases by healthcare and governmental institutions, research laboratories and biomedical companies. The biomedical signals such as electrocardiogram (ECG), electroencephalogram (EEG), Electromyography (EMG), phonocardiogram (PCG), Chronic Obstructive Pulmonary (COP), Electrooculography (EoG), photoplethysmography (PPG), and image modalitiessuch as positron emission tomography (PET), magnetic resonance imaging (MRI) and computerized tomography (CT) are non-invasively acquired, measured, and processed via the biomedical sensors and gadgets. These signals and images represent the activities and conditions of human cardiovascular, neural, vision and cerebral systems. Multi-channel sensing of these signals and images with an appropriate granularity is required for an effective monitoring and diagnosis. It renders a big volume of data and its analysis is not feasible manually. Therefore, automated healthcare systems are in the process of evolution. These systems are mainly based on biomedical signal and image acquisition and sensing, preconditioning, features extraction and classification stages. The contemporary biomedical signal sensing, preconditioning, features extraction and intelligent machine and deep learning-based classification algorithms are described. Each chapter starts with the importance, problemstatement and motivation. A self-sufficient description is provided. Therefore, each chapter can be read independently. To the best of the editors¿ knowledge, this book is a comprehensive compilation on advances in non-invasive biomedical signal sensing and processing with machine and deep learning. We believe that theories, algorithms, realizations, applications, approaches, and challenges, which are presented in this book will have their impact and contribution in the design and development of modern and effective healthcare systems.

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Taxonomien sind Modelle, um unübersichtliche Domänen zu analysieren, Komplexität zu reduzieren sowie Unterschiede und Ähnlichkeiten von Objekten zu erkennen. Ferner helfen sie, Wissen zu ordnen und so Wissen zu vergrößern. Da täglich neues Wissen entsteht, ist eine nutzungsorientierte Entwicklung von Taxonomien für die Wissenschaft und die Praxis von fundamentaler Bedeutung. Taxonomien sind unerlässlich für die Erforschung, Beschreibung und Strukturierung von Domänen. Trotz ihrer besonderen Bedeutung gibt es für viele Wissenschaften nur wenige Handlungsanleitungen zur Entwicklung von Taxonomien.In diesem Buch werden die Forschungsergebnisse der Dissertation mit dem Titel ¿Entwicklung einer Taxonomie für Patientenportale für Health Information Manager¿ präsentiert. Aufgrund der detaillierten Darstellung der Entwicklungsschritte und der eingesetzten Methoden kann diese Dissertationsforschung als Anleitung zur Entwicklung von Taxonomien dienen. Dabei ist die Evaluierung für die Nützlichkeit einer Taxonomie maßgeblich. Mit dem ¿TED Taxonomy-Evaluation-Delphi Approach¿ entwickelte der Autor eine neue Methode zur Evaluierung von Taxonomien, welche hier ausführlich beschrieben wird.

This book constitutes the proceedings of the 11th Workshop on Clinical Image-Based Procedures, CLIP 2022, which was held in conjunction with MICCAI 2022, in Singapore in September 2022. The 9 full papers included in this book were carefully reviewed and selected from 12 submissions. They focus on the applicability of basic research methods in the clinical practice by creating holistic patient models as an important step towards personalized healthcare.

This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.

This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through artificial intelligence (AI) and other data-driven technologies. From improving the diagnosis, treatment, and monitoring of many medical conditions to the effective implementation of precise patient care, this book will help you understand datasets produced from digital health technologies and IoT and teach you how to employ analytical methods such as convolutional neural networks and deep learning to analyze that data. Yoüll also see how this data-driven approach can enhance and democratize value-based healthcare delivery. Additionally, yoüll learn how the convergence of AI and precision health is revolutionizing healthcare, including some of the most difficult challenges facing precision medicine, such as ethics, bias, privacy, and health equity. Precision Health and Artificial Intelligence provides the groundwork for clinicians, engineers, bioinformaticians, and healthcare enthusiasts to apply AI to healthcare.What You Will LearnUnderstand the components required to facilitate precision health and personalized careApply and implement precision health systemsOvercome the challenges of delivering precision healthcare at scaleReconcile ethical and moral implications of delivering precision healthcareGain insight into the hurdles providers face while implementing precision healthcare Who This Book Is ForHealthcare professionals, clinicians, engineers, bioinformaticians, chief information officers (CIOs), and students