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Complete iOS 12 Development Guide: Become a professional iOS developer by mastering Swift, Xcode 10, ARKit, and Core ML
by Donny Wals Craig ClaytonLearn to create professional-grade iOS applications for the App Store using the latest iOS 12 features and other helpful tools Key Features Explore the distinctive design principles that define the iOS user experience Train and use machine learning models with Core ML 2 and Create ML Delve into advanced animations with UIViewPropertyAnimator and UIKitDynamics Book Description With Apple users spending more money in the App Store, there are plenty of development opportunities for professional iOS developers. This Learning Path is a direct route to iOS development, which will take you through the basics and help you put principles into practice. For experienced programmers, this book will help you gain insights into the latest iOS 12 features. This book is also useful for beginners who want to gain expertise in iOS development. You'll start with an introduction to iOS development, Xcode, and Swift. To give your app the edge, you'll get up to speed with advanced iOS topics, such as gestures and animations. Next, you will understand the latest Swift 4.2 and iOS 12 developments by incorporating new features, such as the latest in notifications, custom-UI notifications, maps, and recent additions in SiriKit. With these tools, you'll be able to write efficient, readable, and maintainable Swift code that maintains industry best practices. By the end of the book, you will have the confidence to build iOS 12 applications that harness advanced techniques and make the best use of the latest features. This Learning Path includes content from the following Packt products: iOS 12 Programming for Beginners - Third Edition by Craig Clayton Mastering iOS 12 Programming - Third Edition by Donny Wals What you will learn Build a responsive user interface (UI) and add privacy to your custom-rich notifications Set up SiriKit to add voice for Siri shortcuts Integrate iMessage, Siri, and more in your app through app extensions Use TestFlight to collect feedback before releasing your apps on the App Store Use Auto Layout to create complex layouts that look visually appealing on any device Enhance your app by building your own profiling tools Create engaging augmented reality experiences with ARKit 2 Who this book is for If you are completely new to Swift, iOS, or programming and want to become an expert in developing iOS applications, this Learning Path is for you. You'll also find this Learning Path useful if you're an experienced programmer looking to explore the latest iOS 12 features.
Completely Regular Codes in Distance Regular Graphs (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
by Patrick Solé Minjia ShiThe concept of completely regular codes was introduced by Delsarte in his celebrated 1973 thesis, which created the field of Algebraic Combinatorics. This notion was extended by several authors from classical codes over finite fields to codes in distance-regular graphs. Half a century later, there was no book dedicated uniquely to this notion. Most of Delsarte examples were in the Hamming and Johnson graphs. In recent years, many examples were constructed in other distance regular graphs including q-analogues of the previous, and the Doob graph.Completely Regular Codes in Distance Regular Graphs provides, for the first time, a definitive source for the main theoretical notions underpinning this fascinating area of study. It also supplies several useful surveys of constructions using coding theory, design theory and finite geometry in the various families of distance regular graphs of large diameters. Features Written by pioneering experts in the domain Suitable as a research reference at the master’s level Includes extensive tables of completely regular codes in the Hamming graph Features a collection of up-to-date surveys.
Completion Detection in Asynchronous Circuits: Toward Solution of Clock-Related Design Challenges
by Pallavi SrivastavaThis book is intended for designers with experience in traditional (clocked) circuit design, seeking information about asynchronous circuit design, in order to determine if it would be advantageous to adopt asynchronous methodologies in their next design project. The author introduces a generic approach for implementing a deterministic completion detection scheme for asynchronous bundled data circuits that incorporates a data-dependent computational process, taking advantage of the average-case delay. The author validates the architecture using a barrel shifter, as shifting is the basic operation required by all the processors. The generic architecture proposed in this book for a deterministic completion detection scheme for bundled data circuits will facilitate researchers in considering the asynchronous design style for developing digital circuits.
Complex Binary Number System: Algorithms and Circuits (SpringerBriefs in Electrical and Computer Engineering)
by Tariq JamilThis book is a compilation of the entire research work on the topic of Complex Binary Number System (CBNS) carried out by the author as the principal investigator and members of his research groups at various universities during the years 2000-2012. Pursuant to these efforts spanning several years, the realization of CBNS as a viable alternative to represent complex numbers in an "all-in-one" binary number format has become possible and efforts are underway to build computer hardware based on this unique number system. It is hoped that this work will be of interest to anyone involved in computer arithmetic and digital logic design and kindle renewed enthusiasm among the engineers working in the areas of digital signal and image processing for developing newer and efficient algorithms and techniques incorporating CBNS.
Complex Computational Ecosystems: First International Conference, CCE 2023, Baku, Azerbaijan, April 25–27, 2023, Proceedings (Lecture Notes in Computer Science #13927)
by Pierre Collet Latafat Gardashova Samer El Zant Ulviya AbdulkarimovaThis book constitutes the proceedings of the First International Conference on Complex Computational Ecosystems, CCE 2023, held in Baku, Azerbaijan, during April 25–27, 2023. The 16 full papers and the 4 keynote abstracts included in this volume were carefully reviewed and selected from 46 submissions. They explore trans-disciplinary challenges that crossed theoretical questions with empirical observations of multi-level and multi-modal computational ecosystems.
Complex Data Analytics with Formal Concept Analysis
by Rokia Missaoui Talel Abdessalem Léonard KwuidaFCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. Its mathematical power comes from its concept lattice formalization in which each element in the lattice captures a formal concept while the whole structure represents a conceptual hierarchy that offers browsing, clustering and association rule mining.Complex data analytics refers to advanced methods and tools for mining and analyzing data with complex structures such as XML/Json data, text and image data, multidimensional data, graphs, sequences and streaming data. It also covers visualization mechanisms used to highlight the discovered knowledge.This edited book examines a set of important and relevant research directions in complex data management, and updates the contribution of the FCA community in analyzing complex and large data such as knowledge graphs and interlinked contexts. For example, Formal Concept Analysis and some of its extensions are exploited, revisited and coupled with recent processing parallel and distributed paradigms to maximize the benefits in analyzing large data.
Complex Digital Circuits
by Jean-Pierre Deschamps Elena Valderrama Lluís TerésThis textbook is designed for a second course on digital systems, focused on the design of digital circuits. It was originally designed to accompany a MOOC (Massive Open Online Course) created at the Autonomous University of Barcelona (UAB), currently available on the Coursera platform. Readers will learn to develop complex digital circuits, starting from a functional specification, will know the design alternatives that a development engineer can choose to reach the specified circuit performance, and will understand which design tools are available to develop a new circuit.
Complex Digital Hardware Design
by Istvan NagyThis book is about how to design the most complex types of digital circuit boards used inside servers, routers and other equipment, from high-level system architecture down to the low-level signal integrity concepts. It explains common structures and subsystems that can be expanded into new designs in different markets.The book is targeted at all levels of hardware engineers. There are shorter, lower-level introductions to every topic, while the book also takes the reader all they way to the most complex and most advanced topics of digital circuit design, layout design, analysis, and hardware architecture.
Complex Dynamical Systems in Education: Concepts, Methods and Applications
by Matthijs Koopmans Dimitrios StamovlasisThis book capitalizes on the developments in dynamical systems and education by presenting some of the most recent advances in this area in seventeen non-overlapping chapters. The first half of the book discusses the conceptual framework of complex dynamical systems and its applicability to educational processes. The second half presents a set of empirical studies that that illustrate the use of various research methodologies to investigate complex dynamical processes in education, and help the reader appreciate what we learn about dynamical processes in education from using these approaches.
Complex Enterprise Architecture: A New Adaptive Systems Approach
by John D. McDowallImplement successful and cost-effective enterprise architecture projects. This book provides a new approach to developing enterprise architecture based on the idea of emergent behaviors—where instead of micromanaging system implementation, the enterprise architecture effort establishes clear goals and leaves the details to the implementation teams. System development efforts are measured based on their contribution to achieving business goals instead of implementing specific (possibly outdated) requirements. Most enterprise architecture initiatives employ one of the existing system architecture frameworks such as Zachman or The Open Group Architecture Framework, but these are not well-suited for enterprise architecture in a modern, agile organization. The new approach presented in this book is based on the author’s experience with large enterprise architecture efforts. The approach leverages research into complex adaptive systems and emergent behaviors, where a few simple rules result in complex and efficient enterprise behaviors. Simplifying the task of establishing and maintaining the enterprise architecture cuts the costs of building and maintaining the architecture and frees up those resources for more productive pursuits. System implementers are given the freedom to rapidly adapt to changing user needs without the blessing of the enterprise modeling priesthood, and the architecture is transformed from a static pile of obscure models and documents into an operational framework that can be actively used to manage an enterprise’s resources to better achieve business goals. The enterprise architect is free to stop focusing on building and maintaining models and start focusing on achieving business goals. What You’ll Learn Refocus enterprise architecture on business needs by eliminating most of the enterprise-level modelsDelegate tasks to the development teams who do system implementationDocument business goals, establish strategies for achieving those goals, and measure progress toward those goalsMeasure the results and gauge whether the enterprise architecture is achieving its goalsUtilize appropriate modeling techniques that can be effectively used in an enterprise architecture Who This Book Is ForArchitecture practitioners and architecture managers: Practitioners are experienced architects who have used existing frameworks such as Zachman, and have experience with formal architecture modeling and/or model-based system engineering; managers are responsible for managing an enterprise architecture project and either have experience with enterprise architecture projects that were ineffective or are looking for a different approach that will be more cost-effective and allow for more organizational agility. Government program managers looking for a different approach to make enterprise architecture more relevant and easier to implement will also find this book of value.
Complex Event Processing
by Ulrich HedtstückEine wichtige Aufgabe für die IT der vernetzten Welt ist die maschinelle Auswertung und Verarbeitung von Informationen, die für eine Anwendung relevant sind und übers Netz verschickt werden. Mit Complex Event Processing (CEP) können große Mengen von zeitbehafteten Daten unterschiedlichster Art in nahezu Echtzeit analysiert und weiterverarbeitet werden. Die grundlegende Vorgehensweise beim CEP entspricht der menschlichen Entscheidungsfindung in Prozessabläufen des täglichen Lebens und stellt eine Erweiterung bekannter Methoden des Data Analytics wie Data Mining, statistische Analyse oder regelbasierte Wissensverarbeitung dar. Typische Anwendungsgebiete sind Big-Data-Systeme, Internet of Things, Industrie 4.0.
Complex Event Processing: Komplexe Analyse von massiven Datenströmen mit CEP (essentials)
by Ralf Bruns Jürgen DunkelRalf Bruns und Jürgen Dunkel bieten eine kompakte Einführung in die Grundprinzipien von Complex Event Processing (CEP), das eine extrem leistungsfähige Softwaretechnologie zur systematischen Analyse von massiven Datenströmen in Echtzeit darstellt. Die Autoren stellen die wesentlichen Sprachkonzepte der Ereignisverarbeitung Schritt für Schritt vor. Eine Fallstudie aus dem M2M-Bereich verdeutlicht die praktische Anwendung von CEP. Moderne Unternehmen stehen vor der Herausforderung mit immer größeren Datenmengen umgehen zu müssen. Neben immensen statischen Datenbeständen ist es entscheidend, auch kontinuierlich eintreffende Datenströme effizient zu nutzen, um geschäftliche Entscheidungen situationsabhängig treffen zu können. Mit CEP ist es möglich, hochfrequente Datenströme intelligent zu analysieren und daraus zeitnah operative Unternehmensentscheidungen abzuleiten. CEP steht für eine neue Qualität von Unternehmensanwendungen - agil und effizient.
Complex Event Processing: Verarbeitung von Ereignismustern in Datenströmen
by Ulrich HedtstückEine wichtige Aufgabe für die IT der vernetzten Welt ist die maschinelle Auswertung und Verarbeitung von Informationen, die für eine Anwendung relevant sind und übers Netz verschickt werden. Mit Complex Event Processing (CEP) können große Mengen von zeitbehafteten Daten unterschiedlichster Art in nahezu Echtzeit analysiert und weiterverarbeitet werden. Die grundlegende Vorgehensweise beim CEP entspricht der menschlichen Entscheidungsfindung in Prozessabläufen des täglichen Lebens und stellt eine Erweiterung bekannter Methoden des Data Analytics wie Data Mining, statistische Analyse oder regelbasierte Wissensverarbeitung dar. Typische Anwendungsgebiete sind Big-Data-Systeme, Internet of Things, Industrie 4.0.
Complex IT Project Management: 16 Steps to Success
by Peter SchulteProject Managers leading massive IT projects--defined as projects rolling out deliverables across geographic boundaries with budgets ranging well into the millions--need a unique level of expertise and an arsenal of personal and professional skills to successfully accomplish their tasks. Large IT initiatives inherently contain business conditions,
Complex Network Analysis in Python: Recognize - Construct - Visualize - Analyze - Interpret
by Dmitry ZinovievConstruct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially. Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience. Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive--such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics. Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer. What You Need: You will need a Python 3.x installation with the following additional modules: Pandas (>=0.18), NumPy (>=1.10), matplotlib (>=1.5), networkx (>=1.11), python-louvain (>=0.5), NetworKit (>=3.6), and generalizesimilarity. We recommend using the Anaconda distribution that comes with all these modules, except for python-louvain, NetworKit, and generalizedsimilarity, and works on all major modern operating systems.
Complex Networks & Their Applications VI: Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications) (Studies in Computational Intelligence #689)
by Hocine Cherifi Chantal Cherifi Márton Karsai Mirco MusolesiThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the VI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2017), which took place in Lyon on November 29 - December 1, 2017. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and ecological networks and technological networks.
Complex Networks & Their Applications XII: Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Volume 2 (Studies in Computational Intelligence #1142)
by Hocine Cherifi Chantal Cherifi Luis M. Rocha Murat DonduranThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics and spreading processes; machine learning and graph neural networks as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.
Complex Networks & Their Applications XII: Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Volume 4 (Studies in Computational Intelligence #1144)
by Hocine Cherifi Chantal Cherifi Luis M. Rocha Murat DonduranThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics and spreading processes; machine learning and graph neural networks as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.
Complex Networks & Their Applications XIII: Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 1 (Studies in Computational Intelligence #1187)
by Hocine Cherifi Chantal Cherifi Luis M. Rocha Murat Donduran Onur VarolThis book highlights cutting-edge research in network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics, and spreading processes; machine learning and graph neural networks, as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.
Complex Networks & Their Applications XIII: Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 2 (Studies in Computational Intelligence #1188)
by Hocine Cherifi Chantal Cherifi Luis M. Rocha Murat Donduran Onur VarolThis book highlights cutting-edge research in network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics, and spreading processes; machine learning and graph neural networks, as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.
Complex Networks & Their Applications XIII: Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 3 (Studies in Computational Intelligence #1189)
by Hocine Cherifi Chantal Cherifi Luis M. Rocha Murat Donduran Onur VarolThis book highlights cutting-edge research in network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics, and spreading processes; machine learning and graph neural networks, as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.
Complex Networks & Their Applications XIII: Proceedings of The Thirteenth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2024 - Volume 4 (Studies in Computational Intelligence #1190)
by Hocine Cherifi Chantal Cherifi Luis M. Rocha Murat Donduran Onur VarolThis book highlights cutting-edge research in network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics, and spreading processes; machine learning and graph neural networks, as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.
Complex Networks IX
by Alessandro Vespignani Bruno Gonçalves Roberta Sinatra Sean Cornelius Kate CorongesThis book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) in Boston, MA, March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security.
Complex Networks VIII: Proceedings of the 8th Conference on Complex Networks CompleNet 2017 (Springer Proceedings in Complexity)
by Bruno Gonçalves Ronaldo Menezes Roberta Sinatra Vinko ZlaticThis book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing. The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure.
Complex Networks X: Proceedings of the 10th Conference on Complex Networks CompleNet 2019 (Springer Proceedings in Complexity)
by Bruno Gonçalves Sean P. Cornelius Clara Granell Martorell Jesús Gómez-GardeñesThis book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 10th International Conference on Complex Networks (CompleNet) in Taragona, Spain, March, 2019. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security. This text will appeal to students and researchers in the field.