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Integrating 3D Modeling, Photogrammetry and Design
by Shaun Foster David HalbsteinThis book looks at the convergent nature of technology and its relationship to the field of photogrammetry and 3D design. This is a facet of a broader discussion of the nature of technology itself and the relationship of technology to art, as well as an examination of the educational process. In the field of technology-influenced design-based education it is natural to push for advanced technology, yet within a larger institution the constraints of budget and adherence to tradition must be accepted. These opposing forces create a natural balance; in some cases constraints lead to greater creativity than freedom ever can - but in other cases the opposite is true. This work offers insights into ways to integrate new technologies into the field of design, and from a broader standpoint it also looks ahead, raising further questions and looking to the near future as to what additional technologies might cause further disruptions to 3D design as well as wonderful creative opportunities.
Integrating a Usable Security Protocol into User Authentication Services Design Process
by Christina Braz Ahmed Seffah Bilal NaqviThere is an intrinsic conflict between creating secure systems and usable systems. But usability and security can be made synergistic by providing requirements and design tools with specific usable security principles earlier in the requirements and design phase. In certain situations, it is possible to increase usability and security by revisiting design decisions made in the past; in others, to align security and usability by changing the regulatory environment in which the computers operate. This book addresses creation of a usable security protocol for user authentication as a natural outcome of the requirements and design phase of the authentication method development life cycle.
Integrating Artificial and Human Intelligence through Agent Oriented Systems Design (Systems Innovation Book Series)
by Michael E. Miller Christina F. RusnockThis book departs from the assumption that Artificial Intelligence (AI) systems will provide a maximum advantage by replacing human cognitive processing. Instead, this book subscribes to the assumption that AI systems will provide a maximal advantage when the system is specifically designed to augment human intelligence. It provides methods for designing effective systems that include one or more humans and one or more AI entities and uses the approach that assumes automation does not replace human activity but fundamentally changes the structure of human work when AI is added to existing systems.Integrating Artificial and Human Intelligence through Agent Oriented Systems Design discusses the potential impact of AI on human work and life and explores why teamwork is necessary today for complex work environments. The book explains the processes and methods humans employ to effectively team with one another and presents the elements of artificial agents that permit them to function as team members in joint human and artificial teams. It discusses design goals and illustrates how the methods that have been used to model the complex interactions among human and artificial agents can be expanded to enable the design of interaction between them to make possible the attainment of the shared goals. Model-Based Systems Engineering (MBSE) tools that provide logical designs of human–agent teams, the AI within these teams, training to be deployed for human and artificial agent team members, and the interfaces between human and artificial agent team members are all covered. MBSE files containing profiles and examples for building MBSE models used in the design approach are featured on the author’s website (https://lodesterresci.com/hat).This book is an ideal read for students, professors, engineers, and project managers associated with designing and developing AI systems or systems that seek to incorporate AI.
Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery (Studies in Computational Intelligence #1014)
by Boris Kovalerchuk Kawa Nazemi Răzvan Andonie Nuno Datia Ebad BanissiThis book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering "n-D glasses," where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain. This book is a collection of 25 extended works of over 70 scholars presented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations. The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.
Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations (EAI/Springer Innovations in Communication and Computing)
by Sam Goundar R. AnandanThis book discusses the convergence of artificial intelligence (AI) and Blockchain and how they can work together to help reach the goals of Industry 4.0. The authors first discuss how AI and Blockchain can help increase performance in business. The authors go on to discuss how the technologies can integrate to provide a competitive edge for businesses through improvements in big data, which has allowed firms to organize huge datasets into structured components that computers can process quickly. The authors also cover security implications and how AI and Blockchain can act as a double-edged sword against cyber-attacks. Impacts in programming, calculations, robotization, robots, and equipment are also discussed. This book caters to an extensive cross-sectional and multi-disciplinary readership. Academics, researchers and their students in topics such as artificial intelligence, cyber-physical systems, ethics, robotics, safety engineering, and safety-critical systems should find the book of value.
Integrating Business Process Models and Rules: Empirical Evidence And Decision Framework (Lecture Notes in Business Information Processing #343)
by Wei WangThis book combines multiple research methods, experiment, survey, and design science, as well as traditional measurements and neurophysiological techniques that can capture a variety of cognitive behaviors in human information processing, providing more solid and comprehended research findings. While the focus of the book is the modelling of process models and rules, the methods and techniques used in this book can also be adopted and applied to broader conceptual modelling research incorporating a variety of notations (e.g. UML, ER diagrams) or ontologies.It is a revised version of the PhD dissertation written by the author at the School of Information Technology and Electrical Engineering of the University of Queensland, Australia. In 2018, the PhD dissertation won the "CAiSE PhD Award," granted to outstanding PhD theses in the field of information systems engineering.
Integrating Computer Science Across the Core: Strategies for K-12 Districts
by Tom Liam Lynch Gerald Ardito Pam AmendolaIntegrating Computer Science Across the Core is a guide to systematizing computer science and computational thinking practices in your school. While most books explain how to teach computer science as a stand-alone discipline, this innovative approach will help you leverage your existing curriculum to deepen and expand students’ learning experiences in all content areas. Effective, equitable, and sustainable, this blueprint provides principals, curriculum directors, directors of technology, and other members of your school or district leadership team with suggested organizational structures, tips for professional learning, and key resources like planning instruments.
Integrating CRM Across Your Organization for Business Success
by Andrew BlackmoreThis book is written for IT leaders across organizations, whether they are managers, project managers, or developers who are charged with integrating CRM into IT systems for business success.
Integrating D3.js with React: Learn to Bring Data Visualization to Life
by Elad ElromIntegrate D3.js into a React TypeScript project and create a chart component working in harmony with React. This book will show you how utilize D3 with React to bring life to your charts.Seasoned author Elad Elrom will show you how to create simple charts such as line, bar, donut, scatter, histogram and others, and advanced charts such as a world map and force charts. You'll also learn to share the data across your components and charts using React Recoil state management. Then integrate third-party chart libraries that are built on D3 such as Rechart, Visx, Nivo, React-vi, and Victory and in the end deploy your chart as a server or serverless app on popular platforms. React and D3 are two of the most popular frameworks in their respective areas – learn to bring them together and take your storytelling to the next level. What You'll Learn Set up your project with React, TypeScript and D3.jsCreate simple and advanced D3.js chartsWork with complex charts such as world and force chartsIntegrate D3 data with React state management Improve the performance of your D3 componentsDeploy as a server or serverless app and debug test Who This Book Is ForReaders that already have basic knowledge of React, HTML, CSS and JavaScript.
Integrating Data Science and Earth Science: Challenges and Solutions (SpringerBriefs in Earth System Sciences)
by Laurens M. Bouwer Doris Dransch Roland Ruhnke Diana Rechid Stephan Frickenhaus Jens GreinertThis open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows.
Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics (Green Engineering and Technology)
by R. SujathaData science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of Big Data as well as Deep Learning systems. This book discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and decision-making. It also covers numerous applications in healthcare, education, communication, media, and entertainment. Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics offers innovative platforms for integrating Big Data and Deep Learning and presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval. FEATURES Provides insight into the skill set that leverages one’s strength to act as a good data analyst Discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and help in decision-making Covers numerous potential applications in healthcare, education, communication, media, and entertainment Offers innovative platforms for integrating Big Data and Deep Learning Presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval from Big Data This book is aimed at industry professionals, academics, research scholars, system modelers, and simulation experts.
Integrating Edge Intelligence and Blockchain: What, Why, and How (Wireless Networks)
by Xiaofei Wang Chao Qiu Xiaoxu Ren Zehui Xiong Victor C. Leung Dusit NiyatoThis book examines whether the integration of edge intelligence (EI) and blockchain (BC) can open up new horizons for providing ubiquitous intelligent services. Accordingly, the authors conduct a summarization of the recent research efforts on the existing works for EI and BC, further painting a comprehensive picture of the limitation of EI and why BC could benefit EI. To examine how to integrate EI and BC, the authors discuss the BC-driven EI and tailoring BC to EI, including an overview, motivations, and integrated frameworks. Finally, some challenges and future directions are explored. The book explores the technologies associated with the integrated system between EI and BC, and further bridges the gap between immature BC and EI-amicable BC.Explores the integration of edge intelligence (EI) and blockchain (BC), including their integrated motivations, frameworks and challenges;Presents how BC-driven EI can realize computing-power management, data administration, and model optimization;Describes how to tailor BC to better support EI, including flexible consensus protocol, effective incentive mechanism, intellectuality smart contract, and scalable BC system tailoring;Presents some key research challenges and future directions for the integrated system.
Integrating Educational Technology Into Teaching
by M. Roblyer Joan HughesA balance of theory, research, and classroom practice helps teachers understand the most effective ways to integrate educational technology Long recognized in the field as the leading educational technology text, Integrating Educational Technology into Teaching links technology integration strategies to specific learning theories, shows pre- and in-service teachers how to plan for technology integration, and offers opportunities to practice integrating technology by designing curriculum to meet teaching and learning needs. Carefully selected exercises, sample lessons, and recommended resources encourage teachers to reflect on their practice as they develop the insights, knowledge, and skills they need to infuse technology across all disciplines. The 8th Edition features updated technology integration and assessment frameworks, helping teachers employ technology in a way that revitalizes students’ interest and engagement in learning. Throughout the book, content is updated to align with the latest ISTE Standards for Educators and Students and showcases the most current tools, methods, and ideas shaping the role of technology in education. Integrating Educational Technology into Teachingis also available via Revel™–an interactive learning environment that enables students to read, practice, and study in one continuous experience.
Integrating ERP, CRM, Supply Chain Management, and Smart Materials
by Dimitris N. ChorafasOrganizations enjoy two kinds of strategic advantages. One is transitory: being in the right place with the right products at the right time. The other comes from having first class management and instituting processes that mobilize an organization, keeping in ahead of the competition. Which would you like to count on for your organization's success?Integrating ERP, CRM, Supply Chain Management, and Smart Materials explores how to create business opportunities and reap savings by: Restructuring and updating of ERP and CRM software as it integrates supply chain management and delivers new killer applications; Evolving opportunities that will develop from the implementation of smart materials, automatic identification, classification systems, and quality assurance projects Auditing the implementation, operation, and maintenance of ERP and CRM software as well as the corrective action taken on the basis of resultsInternet commerce, online supply chain, and advances in technology - all available at increasingly lower costs - make systems of the past obsolete. However, just as new technology creates new opportunities, it can also create unforeseen consequences. By binding a wealth of interdependent issues between the covers of one book, Integrating ERP, CRM, Supply Chain Management, and Smart Materials gives you the tools you need to create proprietary, high value-added solutions.
Integrating ERP Systems and Knowledge Management: Improving Information System Adoption and Enhancing Business Performance (Progress in IS)
by Lejla Turulja Amer Celjo Mirjana Pejić Bach Nijaz BajgoricThis book combines the Technology Acceptance Model (TAM) and empirical analysis to investigate the adoption of integrated enterprise business information systems (ISs). TAM has been used extensively in the study of ERP acceptance as well as factors in the success or failure of ERP. To date, the adoption of information systems has been studied using various approaches, including Theory of Reasoned Action (TRA) and Theory of Planned Behaviour (TPB), both of which have roots in cognitive psychology (Nicolas et al., 2008). Even though these models have been used in research, the TAM has succeeded in capturing the attention of the information systems community. The book also analyses Knowledge Management Systems (KMSs), illustrating their function as information technologies for storing, improving and distributing intra- and intercompany knowledge. Knowledge management systems are presented as likely the most debated and polemicized topic in the field of knowledge management. Even though these systems are not a crucial aspect of knowledge management, it is evident that all major players in the ERP industry have cloud- and installation-based KMS solutions that they integrate with their ERP modules. After discussing and analysing these topics, the book illustrates how the respective systems can impact business processes and performance. Given its scope, it appeals not only to researchers, but also to practitioners working in these areas of IT.
Integrating Excel and Access: Combining Applications to Solve Business Problems
by Michael SchmalzIn a corporate setting, the Microsoft Office Suite is an invaluable set of applications. One of Offices' biggest advantages is that its applications can work together to share information, produce reports, and so on. The problem is, there isn't much documentation on their cross-usage. Until now. Introducing Integrating Excel and Access, the unique reference that shows you how to combine the strengths of Microsoft Excel with those of Microsoft Access. In particular, the book explains how the powerful analysis tools of Excel can work in concert with the structured storage and more powerful querying of Access. The results that these two applications can produce together are virtually impossible to achieve with one program separately. But the book isn't just limited to Excel and Access. There's also a chapter on SQL Server, as well as one dedicated to integrating with other Microsoft Office applications. In no time, you'll discover how to:Utilize the built in features of Access and Excel to access dataUse VBA within Access or Excel to access dataBuild connection strings using ADO and DAOAutomate Excel reports including formatting, functions, and page setupWrite complex functions and queries with VBAWrite simple and advanced queries with the Access GUIProduce pivot tables and charts with your data With Integrating Excel and Access, you can crunch and visualize data like never before. It's the ideal guide for anyone who uses Microsoft Office to handle data.
Integrating Facebook iOS SDK with Your Application
by Giuseppe MacrìA tutorial-based guide with chapters focusing on learning and embedding crucial Facebook features.If you are a developer who wishes to develop and monetize your apps on the App store, then this is the book for you. This book assumes you have basic knowledge of iOS programming using Objective-C and XCode, however, prior knowledge of Facebook iOS SDK is not required.
Integrating Human Factors Methods and Systems Thinking for Transport Analysis and Design (The Human Factors, Simulation and Performance Assessment Series)
by Gemma J. Read Vanessa Beanland Michael G. Lenné Neville A. Stanton Paul M. SalmonGovernments and road safety agencies around the world have either introduced or are considering 'safe system' strategies, a long overdue acknowledgement that different elements of the road system contribute to road safety outcomes. Human factors approaches have a leading role here in both conceptualising the road system as a complex sociotechnical system and in providing practical approaches to support true systems-based countermeasures. This book illustrates the potential for integrating contemporary systems-based human factors methods with modern day driving-assessment methods, such as vehicle instrumentation and driving simulation, to understand and enhance performance in modern day road-transport systems. The book outlines why a fundamental paradigm shift is needed in the way these systems are designed and operated, and illustrates how a wide range of accepted human-factors approaches can be applied successfully to road transport to revolutionise the countermeasure design process. The practical illustrations of these human factors methods are applied to a long-standing road and rail safety issue: rail level crossings, where the road and rail systems intersect. The final chapter of the book highlights the utility of the human factors approach to reducing road trauma and discusses future applications of the approach.
Integrating Information and Communication Technologies in English for Specific Purposes (English Language Education #10)
by Lidia Taillefer Rosa Muñoz-LunaThis book fills the need for a text that integrates Information and Communication Technologies (ICTs) into English for Specific Purposes (ESP). It offers insights on current methodological principles in ESP in both academic and professional contexts, drawing on authentic teaching and learning situations, and analyses best practice guidelines. Part I begins with ESP pedagogical principles and technological practice in order to focus on its two main branches: English for Academic Purposes, which includes linguistic skills and students’ needs, and English for Occupational Purposes, specifically looking at Business, Medical and Translators courses. This book is a great resource for ESP researchers, educators and students, because it provides case studies of how ICTs can be used in English for multiple purposes. Authors present their experiences of integrating tools into their instructions, with each chapter contributing unique pedagogical implications.
Integrating Information Technology into the Teacher Education Curriculum: Process and Products of Change
by Nancy Wentworth Rodney Earle Michael ConnellAs teaching evolves, teacher education must keep up. This book examines systemic reforms that incorporate new technology to improve any teacher education program.While there are books that address the integration of technology into teaching curricula, very few address the process for teacher education faculty and the systemic reform of a teacher education program. Integrating Information Technology into the Teacher Education Curriculum: Process and Products of Change provides practical examples and suggestions for teacher education departments striving to integrate new technologies into their curriculum. It will help in the effort to motivate faculty to make utilizing new technology a natural strategy for the teachers they are educating. It describes the creation of Design Teams at Brigham Young University&’s McKay School of Education (funded by a PT3 grant) and how these teams worked to successfully reconfigure the school&’s teacher preparation curricula.Integrating Information Technology into the Teacher Education Curriculum examines: how to compose and create a curriculum design team-including both teacher education and content-specific methods instructors training and collaboration opportunities that focus on the infusion of technology how to facilitate alignment among a university, cooperating school districts, the State Office of Education, and other available teacher preparation programs specific case examples of the redevelopment of teacher education courses by the instructors who teach them the process of changing a technology course required by the teacher education program the process of extending grant activities to the university&’s partner school districts and the State Office of EducationFrom the editors:Preparing tomorrow&’s teachers to use technology in schools is a complex endeavor requiring the infusion of technology into curriculum and instructional practices at all levels of the pre-service program. In many early teacher education programs, prospective teachers took a computer literacy class separate from content methods classes and rarely engaged in real collaboration on how schoolteachers could integrate technology into authentic learning experiences. By focusing merely on how to use computers, technology training failed by not addressing how to teach students more effectively using a variety of technological tools. What teachers need to know most is how to teach content more effectively. Technology integration should cause teachers to develop different perspectives through rethinking teaching and learning. Teaching with technology causes teachers to confront their established beliefs about instruction and their traditional roles as classroom teachers.
Integrating IoT and AI for Indoor Air Quality Assessment (Internet of Things)
by Jagriti Saini Maitreyee Dutta Gonçalo Marques Malka N. HalgamugeThis book presents Internet of Things (IoT) solutions monitoring and assessing a variety of applications areas for indoor air quality (IAQ). This book synthesizes recent developments, presents case studies, and discusses new methods in the area of air quality monitoring, all the while addressing public health concerns. The authors discuss the issues and solutions, including IoT systems that can provide a continuous flow of data retrieved from cost-effective sensors that can be used in multiple applications.The authors present the leading IoT technologies, applications, algorithms, systems, and future scope in this multi-disciplinary domain.
Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (Studies in Computational Intelligence #1038)
by Essam Halim Houssein Mohamed Abd Elaziz Diego Oliva Laith AbualigahThis book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material can be helpful for research from the evolutionary computation, artificial intelligence communities.
Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems
by Shubham Mahajan Amit Kant Pandit Kapil Joshi Nitish PathakA comprehensive book providing high-quality research addressing challenges in theoretical and application aspects of soft computing and machine learning in image processing and computer vision. Researchers are working to create new algorithms that combine the methods provided by CI approaches to solve the problems of image processing and computer vision such as image size, noise, illumination, and security. The 19 chapters in this book examine computational intelligence (CI) approaches as alternative solutions for automatic computer vision and image processing systems in a wide range of applications, using machine learning and soft computing. Applications highlighted in the book include: diagnostic and therapeutic techniques for ischemic stroke, object detection, tracking face detection and recognition; computational-based strategies for drug repositioning and improving performance with feature selection, extraction, and learning; methods capable of retrieving photometric and geometric transformed images; concepts of trading the cryptocurrency market based on smart price action strategies; comparative evaluation and prediction of exoplanets using machine learning methods; the risk of using failure rate with the help of MTTF and MTBF to calculate reliability; a detailed description of various techniques using edge detection algorithms; machine learning in smart houses; the strengths and limitations of swarm intelligence and computation; how to use bidirectional LSTM for heart arrhythmia detection; a comprehensive study of content-based image-retrieval techniques for feature extraction; machine learning approaches to understanding angiogenesis; handwritten image enhancement based on neutroscopic-fuzzy. Audience The book has been designed for researchers, engineers, graduate, and post-graduate students wanting to learn more about the theoretical and application aspects of soft computing and machine learning in image processing and computer vision.
Integrating Omics Data
by George Tseng Debashis Ghosh Xianghong Jasmine ZhouIn most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data.
Integrating PHP Projects with Jenkins
by Sebastian Bergmann<p>Today’s web applications require frequent updates, not just by adding or upgrading features, but by maintaining and improving the software’s existing code base as well. This concise book shows PHP developers how to use the popular Jenkins continuous integration server to monitor various aspects of software quality through continuous integration and continuous inspection.</p>