This book discusses how to plan the time-variant placements of the UAVs served as base station (BS)/relay, which is very challenging due to the complicated 3D propagation environments, as well as many other practical constraints such as power and flying speed. Spectrum sharing with existing cellular networks is also investigated in this book. The emerging unmanned aerial vehicles (UAVs) have been playing an increasing role in the military, public, and civil applications. To seamlessly integrate UAVs into future cellular networks, this book will cover two main scenarios of UAV applications as follows. The first type of applications can be referred to as UAV Assisted Cellular Communications. Second type of application is to exploit UAVs for sensing purposes, such as smart agriculture, security monitoring, and traffic surveillance. Due to the limited computation capability of UAVs, the real-time sensory data needs to be transmitted to the BS for real-time data processing. The cellular networks are necessarily committed to support the data transmission for UAVs, which the authors refer to as Cellular assisted UAV Sensing. To support real-time sensing streaming, the authors design joint sensing and communication protocols, develop novel beamforming and estimation algorithms, and study efficient distributed resource optimization methods. This book targets signal processing engineers, computer and information scientists, applied mathematicians and statisticians, as well as systems engineers to carve out the role that analytical and experimental engineering has to play in UAV research and development. Undergraduate students, industry managers, government research agency workers and general readers interested in the fields of communications and networks will also want to read this book.

Use this field guide as you transform your enterprise to combine cloud computing with a microservices architecture. The recent surge in the popularity of microservices in software development is mainly due to the agility it brings and its readiness for the cloud. The move to a microservices architecture on the cloud involves a gradual evolution in software development. Many enterprises are embarking on this journey, and are now looking for architects who are experienced in building microservices-based applications in the cloud. A master architect should be able to understand the business, identify growth hurdles, break a monolith, design microservices, foresee problems, overcome challenges, change processes, decipher CSP services, strategize cloudification, adopt innovations, secure microservices, prototype solutions, and envision the future. Cloud-Based Microservices provides you with the information you need to be successful in such an endeavor. What You Will Learn Be familiar with the challenges in microservices architecture and how to overcome them Plan for a cloud-based architecture Architect, build, and deploy microservices in the cloud Know how security, operations, and support change in this architecture Who This Book Is For Engineers, architects, and those in DevSecOps attempting to move their enterprise software to take advantage of microservices and the cloud and be more nimble

This book gathers papers presented at the 9th International Conference on Computer Engineering and Networks (CENet2019), held in Changsha, China, on October 18-20, 2019. It examines innovations in the fields of computer engineering and networking and explores important, state-of-the-art developments in areas such as Information Security, Information Hiding and Cryptography, Cyber Security, and Intelligent Computing and Applications. The book also covers emerging topics in computer engineering and networking, along with their applications, discusses how to improve productivity by using the latest advanced technologies, and examines innovation in the fields of computer engineering and networking, particularly in intelligent computing and security.

This two-volume set of LNCS 12509 and 12510 constitutes the refereed proceedings of the 15th International Symposium on Visual Computing, ISVC 2020, which was supposed to be held in San Diego, CA, USA in October 2020, took place virtually instead due to the COVID-19 pandemic. The 114 full and 4 short papers presented in these volumes were carefully reviewed and selected from 175 submissions. The papers are organized into the following topical sections: Part I: deep learning; segmentation; visualization; video analysis and event recognition; ST: computational bioimaging; applications; biometrics; motion and tracking; computer graphics; virtual reality; and ST: computer vision advances in geo-spatial applications and remote sensing Part II: object recognition/detection/categorization; 3D reconstruction; medical image analysis; vision for robotics; statistical pattern recognition; posters

This proceedings volume highlights a selection of papers presented at the 7th International Conference on High Performance Scientific Computing, which took place in Hanoi, Vietnam, during March 19-23, 2018. The conference has been organized by the Institute of Mathematics of the Vietnam Academy of Science and Technology, the Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University and the Vietnam Institute for Advanced Study in Mathematics. The contributions cover a broad, interdisciplinary spectrum of scientific computing and showcase recent advances in theory, methods, and practical applications. Subjects covered include numerical simulation, methods for optimization and control, machine learning, parallel computing and software development, as well as the applications of scientific computing in mechanical engineering, airspace engineering, environmental physics, decision making, hydrogeology, material science and electric circuits.

Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form. The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the "data-aptitude" built by the material in this book.

This book constitutes the proceedings of the 16th International Conference on Web and Internet Economics, WINE 2020, held in Beijing, China, in December 2020. The 31 full papers presented together with 11 abstracts were carefully reviewed and selected from 136 submissions. The issues in theoretical computer science, artificial intelligence, operations research are of particular importance in the Web and the Internet that enable the interaction of large and diverse populations. The Conference on Web and Internet Economics (WINE) is an interdisciplinary forum for the exchange of ideas and results on incentives and computation arising from these various fields.

This book constitutes the refereed proceedings of the IFIP WG 8.2, 9.1, 9.4 Joint Working Conference on the Future of Digital Work: The Challenge of Inequality, IFIPJWC 2020, which was supposed to be held in Hyderabad, India, in December 2020, but was held virtually due to the COVID-19 pandemic. This conference was organized for IFIP's 60th anniversary and to commemorate its mission to "achieve worldwide professional and socially responsible development and application of ICTs."The 22 full papers presented together with an introduction and two keynotes were carefully reviewed and selected from 29 submissions. They are organized in topics on: innovation and entrepreneurship; the social significance of digital platforms; transforming healthcare; and the dark side of digitalization.

This volume offers state-of-the-art research in service science and its related research, education and practice areas. It showcases recent developments in smart service systems, operations management and analytics and their impact in complex service systems. The papers included in this volume highlight emerging technology and applications in fields including healthcare, energy, finance, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users' both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. The papers in this volume present methods to approach such technical challenges in service science and are based on top papers from the 2019 INFORMS International Conference on Service Science.

This book is jointly compiled by Chinese Academy of Sciences, Cyberspace Administration of China, Ministry of Education of the People's Republic of China, Ministry of Science and Technology of the People's Republic of China, Chinese Academy of Social Sciences, National Natural Science Foundation of China and Chinese Academy of Agricultural Sciences. Over the past several years, Chinese scholars have contributed numerous research works on the development of Chinese scientific information and technology, and produced a range of outstanding achievements. Focusing on the main topic of e-Science, this book explores the forefront of science and technology around the globe, the major demands in China and the main fields in China's economic development. Furthermore, it reviews the major achievements and the typical cases in China's e-Science research. It provides a valuable reference source for future technological innovations and will introduce researchers and students in the area of e-Science to the latest results in China.

This book constitutes the refereed proceedings of the 7th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2019, held in Hubballi, India, in December 2019. The 55 revised full papers 3 short papers presented in this volume were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on vision and geometry, learning and vision, image processing and document analysis, detection and recognition.

This book constitutes refereed proceedings of the 12th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November - December 2020. Due to the the COVID-19 pandemic the conference was held online. The 68 papers were thoroughly reviewed and selected from 314 submissions. The papers are organized according to the following topical sections: data mining and machine learning; deep learning and applications for industry 4.0; recommender systems; computer vision techniques; decision support and control systems; intelligent management information systems; innovations in intelligent systems; intelligent modeling and simulation approaches for games and real world systems; experience enhanced intelligence to IoT; data driven IoT for smart society; applications of collective intelligence; natural language processing; low resource languages processing; computational collective intelligence and natural language processing.

The volume "The UNESCO Memory of the World Programme: Key Aspects and Recent Developments" responds to the growing interest in the scientific study of the Memory of the World Programme (MoW) and its core concept of documentary heritage, which has received little attention from scholarship so far. This sixth publication in the Heritage Studies Series provides a first collection of differing approaches (including reflected reports, essays, research contributions, and theoretical reflections) for the study of the MoW Programme, offering a basis for follow-up activities. The volume, edited by Ray Edmondson, Lothar Jordan and Anca Claudia Prodan, brings together 21 scholars from around the globe to present aspects deemed crucial for understanding MoW, its development, relevance and potential. The aim is to encourage academic research on MoW and to enhance the understanding of its potential and place within Heritage Studies and beyond.

This book constitutes refereed proceedings of the 8th Conference on Information and Communication Technologies of Ecuador, TICEC 2020, held in November 2020. Due to the COVID-19 pandemic the conference was held online. The 36 full and 7 short papers were carefully reviewed and selected from 117 qualified submissions. The papers are organized according to the following topical sections: biomedical sensors and wearables systems; data science; ICTs applications; industry 4.0; smart cities; software development; technology and environment.

This book constitutes the thoroughly refereed post conference papers of the Second International Conference on Blockchain and Trustworthy Systems, Blocksys 2020, held in Dali, China*, in August 2020. The 42 full papers and the 11 short papers were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections: theories and algorithms for blockchain, performance optimization of blockchain, blockchain security and privacy, blockchain and cloud computing, blockchain and internet of things, blockchain and mobile edge computing, blockchain and smart contracts, blockchain and data mining, blockchain services and applications, trustworthy system development. *The conference was held virtually due to the COVID-19 pandemic.

This book proposes the novel network envisions and framework design principles, in order to systematically expound the next generation vehicular networks, including the modelling, algorithms and practical applications. It focuses on the key enabling technologies to design the next generation vehicular networks with various vehicular services to realize the safe, convenient and comfortable driving. The next generation vehicular networks has emerged to provide services with a high quality of experience (QoE) to vehicles, where both better network maintainability and sustainability can be obtained than before. The framework design principles and related network architecture are also covered in this book. Then, the series of research topics are discussed including the reputation based content centric delivery, the contract based mobile edge caching, the Stackelberg game model based computation offloading, the auction game based secure computation offloading, the bargain game based security protection and the deep learning based autonomous driving. Finally, the investigation, development and future works are also introduced for designing the next generation vehicular networks. The primary audience for this book are researchers, who work in computer science and electronic engineering. Professionals working in the field of mobile networks and communications, as well as engineers and technical staff who work on the development or the standard of computer networks will also find this book useful as a reference.

This book covers IoT and Big Data from a technical and business point of view. The book explains the design principles, algorithms, technical knowledge, and marketing for IoT systems. It emphasizes applications of big data and IoT. It includes scientific algorithms and key techniques for fusion of both areas. Real case applications from different industries are offering to facilitate ease of understanding the approach. The book goes on to address the significance of security algorithms in combing IoT and big data which is currently evolving in communication technologies. The book is written for researchers, professionals, and academicians from interdisciplinary and transdisciplinary areas. The readers will get an opportunity to know the conceptual ideas with step-by-step pragmatic examples which makes ease of understanding no matter the level of the reader.

The digital transformation is impacting various aspects of how we live and work. Due to the pervasive effects of the digital revolution on firms and societies, both scholars and practitioners are interested in better understanding the key mechanisms behind the related challenges. This book presents a collection of research papers focusing on the relationships between technologies (e.g. artificial intelligence, social media, and the Internet of Things) and behaviours (e.g. social learning, knowledge sharing, and decision-making). Moreover, it provides insights into how the digital transformation may improve quality of personal life and work life within public and private organisations. The plurality of views offered makes this book particularly relevant for practitioners, companies, scientists, and governments. It gathers a selection of the best papers - original double-blind peer-reviewed contributions - presented at the annual conference of the Italian chapter of the AIS which was held in Naples, Italy, in September 2019.

This book constitutes the refereed proceedings of the 21st IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2020, held in Valencia, Spain, in November 2020. The conference was held virtually.The 53 full papers were carefully reviewed and selected from 135 submissions. They provide a comprehensive overview of major challenges and recent advances in various domains related to the digital transformation and collaborative networks and their applications with a strong focus on the following areas related to the main theme of the conference: collaborative business ecosystems; collaborative business models; collaboration platform; data and knowledge services; blockchain and knowledge graphs; maintenance, compliance and liability; digital transformation; skills for organizations of the future; collaboration in open innovation; collaboration in supply chain; simulation and analysis in collaborative systems; product and service systems; collaboration impacts; boosting sustainability through collaboration in Agri-food 4.0; digital innovation hubs for digitalizing European industry; and collaborative networks for health and wellness data management.

This handbook covers recent advances in the integration of three areas, namely, cloud computing, cyber-physical systems, and the Internet of things which is expected to have a tremendous impact on our daily lives. It contains a total of thirteen peer-reviewed and edited chapters. This book covers topics such as context-aware cyber-physical systems, sustainable cloud computing, fog computing, and cloud monitoring; both the theoretical and practical aspects belonging to these topics are discussed. All the chapters also discuss open research challenges in the areas mentioned above. Finally, the handbook presents three use cases regarding healthcare, smart buildings and disaster management to assist the audience in understanding how to develop next-generation IoT- and cloud-enabled cyber-physical systems. This timely handbook is edited for students, researchers, as well as professionals who are interested in the rapidly growing fields of cloud computing, cyber-physical systems, and the Internet of things.

This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held in Lviv, Ukraine*, in August 2020.The 36 full papers presented in this volume were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections of hybrid systems of computational intelligence; machine vision and pattern recognition; dynamic data mining & data stream mining; big data & data science using intelligent approaches. *The conference was held virtually due to the COVID-19 pandemic.

Discover methodologies and best practices for getting started with Google Kubernetes Engine (GKE). This book helps you understand how GKE provides a fully managed environment to deploy and operate containerized applications on Google Cloud infrastructure. You will see how Kubernetes makes it easier for users to manage clusters and the container ecosystem. And you will get detailed guidance on deploying and managing applications, handling administration of container clusters, managing policies, and monitoring cluster resources. You will learn how to operate the GKE environment through the GUI-based Google Cloud console and the "gcloud" command line interface. The book starts with an introduction to GKE and associated services. The authors provide hands-on examples to set up Container Registry and GKE Cluster, and you will follow through an application deployment on GKE. Later chapters focus on securing your GCP GKE environment, GKE monitoring and dashboarding, and CI/CD automation. All of the code presented in the book is provided in the form of scripts, which allow you to try out the examples and extend them in interesting ways. What You Will Learn Understand the main container services in GCP (Google Container Registry, Google Kubernetes Engine, Kubernetes Engine, Management Services) Perform hands-on steps to deploy, secure, scale, monitor, and automate your containerized environment Deploy a sample microservices application on GKE Deploy monitoring for your GKE environment Use DevOps automation in the CI/CD pipeline and integrate it with GKE Who This Book Is For Architects, developers, and DevOps engineers who want to learn Google Kubernetes Engine

This book constitutes the refereed proceedings of the 8th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2020, held in Phuket, Thailand, in November 2020.* The 35 full papers presented were carefully reviewed and selected from 55 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; machine learning; machine learning applications; econometric applications; and statistical methods. * The conference was held virtually due to the COVID-19 pandemic.

This book is an outcome of the 33rd International Conference EnviroInfo 2019, held at the University of Kassel, Germany. It presents a selection of papers that describe innovative scientific approaches and ongoing research in environmental informatics and the emerging field of computational sustainability. The respective articles cover a broad range of scientific aspects including advances in core technologies such as earth observation, environmental modelling, big data and machine learning, as well as applications of ICT solutions intended to support societal transformation processes toward the more sustainable management of resource use, transportation and the energy supply. Given its scope, the book is essential reading for scientists, experts and students in these fields of research.

Persuasive Communication for Science and Technology Leaders Explore this insightful guide to the development of persuasive leadership skills perfect for students and managers in technical fields Many technical managers receive little or no training in the persuasive arts. Though technically skilled, they often lack the ability to engage effectively with an audiences outside their field. Persuasive Communication for Science and Technology Leaders: Writing and Speaking with Confidence delivers a thorough treatment of how to connect with audiences whose knowledge, values, personal experiences, ethnic background, gender, and worldview may differ from their own. Written in a highly readable and entertaining style, this book goes beyond the scope of a standard textbook on persuasive communication. Its practical lessons illustrate the techniques of effective scientific and technical writing while emphasizing values-based leadership for a more just, inclusive, and sustainable world, a theme that seems particularly pertinent during these times of multiple crises, misinformation campaigns, and science denial. The distinguished speaker and author explores the broader importance of language and explains various techniques for expanding your expressive range and your professional influence. He will also teach you methods for conveying information clearly and precisely as well as in ways that inspire and leave a lasting impression. You will also benefit from: A thorough introduction to knowing and connecting with your audience, using voice, tone, and point of view for results, and engaging your reader with compelling openings An exploration of explaining complex technologies clearly, succeeding with challenging writing assignments, and applying a variety of persuasive strategies for agile responses to a rapidly changing world An examination of speaking effectively while thinking on your feet, including how to create a safety net and how to recover from momentary lapses Easy-to-remember guidance on avoiding common language errors that might undermine your credibility or, worse yet, make people stop listening to you Perfect for undergraduate and graduate students in scientific and technical fields such as engineering, geology, botany, climatology, and epidemiology, Persuasive Communication for Science and Technology Leaders: Writing and Speaking with Confidence will earn a place in the libraries of technical managers and leaders who seek to better connect with their audiences.