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Complete Virtual Reality and Augmented Reality Development with Unity: Leverage the power of Unity and become a pro at creating mixed reality applications
by Jesse Glover Jonathan LinowesGet close and comfortable with Unity and build applications that run on HoloLens, Daydream, and Oculus RiftKey FeaturesBuild fun augmented reality applications using ARKit, ARCore, and VuforiaExplore virtual reality by developing more than 10 engaging projects Learn how to integrate AR and VR concepts together in a single applicationBook DescriptionUnity is the leading platform to develop mixed reality experiences because it provides a great pipeline for working with 3D assets.Using a practical and project-based approach, this Learning Path educates you about the specifics of AR and VR development using Unity 2018 and Unity 3D. You’ll learn to integrate, animate, and overlay 3D objects on your camera feed, before moving on to implement sensor-based AR applications. You’ll explore various concepts by creating an AR application using Vuforia for both macOS and Windows for Android and iOS devices. Next, you’ll learn how to develop VR applications that can be experienced with devices, such as Oculus and Vive. You’ll also explore various tools for VR development: gaze-based versus hand controller input, world space UI canvases, locomotion and teleportation, timeline animation, and multiplayer networking. You’ll learn the Unity 3D game engine via the interactive Unity Editor and C# programming. By the end of this Learning Path, you’ll be fully equipped to develop rich, interactive mixed reality experiences using Unity.This Learning Path includes content from the following Packt products:Unity Virtual Reality Projects - Second Edition by Jonathan LinowesUnity 2018 Augmented Reality Projects by Jesse GloverWhat you will learnCreate 3D scenes to learn about world space and scaleMove around your scenes using locomotion and teleportationCreate filters or overlays that work with facial recognition softwareInteract with virtual objects using eye gaze, hand controllers, and user input eventsDesign and build a VR storytelling animation with a soundtrack and timelinesCreate social VR experiences with Unity networkingWho this book is forIf you are a game developer familiar with 3D computer graphics and interested in building your own AR and VR games or applications, then this Learning Path is for you. Any prior experience in Unity and C# will be an advantage. In all, this course teaches you the tools and techniques to develop engaging mixed reality applications.
The Complete VMware vSphere Guide: Design a virtualized data center with VMware vSphere 6.7
by Mike Brown Hersey Cartwright Andrea Mauro Martin Gavanda Karel NovakExplore the benefits of VMware vSphere 6.7 to provide a powerful, flexible, and secure virtual infrastructure, and secure apps. Next, you'll pick up on how to enhance your infrastructure with high-performance storage access, such as remote direct memory access (RDMA) and Persistent Key Features Design, deploy and manage VMware vSphere virtual data centers Implement monitoring and security of VMware workloads with ease Explore tips and techniques for designing a robust virtual infrastructure Book Description vSphere 6.7 is the latest release of VMware's industry-leading virtual cloud platform. By understanding how to manage, secure, and scale apps with vSphere 6.7, you can easily run even the most demanding of workloads. This Learning Path begins with an overview of the features of the vSphere 6.7 suite. You'll learn how to plan and design a virtual infrastructure. You'll also gain insights into best practices to efficiently configure, manage, and secure apps. Next, you'll pick up on how to enhance your infrastructure with high-performance storage access, such as remote direct memory access (RDMA) and Persistent memory. The book will even guide you in securing your network with security features, such as encrypted vMotion and VM-level encryption. Finally, by learning how to apply Proactive High Availability and Predictive Distributed Resource Scheduler (DRS), you'll be able to achieve enhanced computing, storage, network, and management capabilities for your virtual data center. By the end of this Learning Path, you'll be able to build your own VMware vSphere lab that can run high workloads. This Learning Path includes content from the following Packt products: VMware vSphere 6.7 Data Center Design Cookbook - Third Edition by Mike Brown and Hersey Cartwright Mastering VMware vSphere 6.7 - Second Edition by Martin Gavanda, Andrea Mauro, Karel Novak, and Paolo Valsecchi What you will learn Understand how to patch, upgrade, and manage a virtual environment with vSphere 6.7 Identify key factors related to a vSphere design Mitigate security risks and meet compliance requirements in a vSphere design Create a vSphere conceptual design by identifying technical and business requirements Map the logical resource design into the physical vSphere design Create professional vSphere design documentation Who this book is for This Learning Path is for administrators, infrastructure engineers, consultants, and architects who want to design virtualized data center environments using VMware vSphere 6.x (or previous versions of vSphere and the supporting components). Basic knowledge of VMware vSphere is required to get the most out of this Learning Path.
Complete Web Monitoring
by Sean Power Alistair CrollDo you really understand your online presence? Are you confident that visitors can use your website? Do you know their motivations? How do online communities perceive your company? To innovate and adapt your business quickly, you must know the answers to these questions. Complete Web Monitoring demonstrates how to measure every aspect of your web presence -- including analytics, backend performance, usability, communities, customer feedback, and competitive analysis -- whether you're running an e-commerce site, a community, a media property, or a Software-as-a-Service company. This book's concrete examples, clear explanations, and practical recommendations make it essential for anyone who runs a website. With this book you will: Discover how visitors use and interact with your site through web analytics, segmentation, conversions, and user interaction analysis Find out your market's motivations with voice-of-the-customer research Measure the health and availability of your website with synthetic testing and real-user monitoring Track communities related to your online presence, including social networks, forums, blogs, microblogs, wikis, and social news aggregators Understand how to assemble this data into clear reports tailored to your organization and audience You can't fix what you don't measure. Complete Web Monitoring shows you how to transform missed opportunities, frustrated users, and spiraling costs into online success. "This is a very comprehensive view of just about everything one needs to know about how websites work and what one needs to know about them. I'd like to make this book required reading for every employee at Gomez." -- Imad Mouline, CTO of Gomez
Completely Regular Codes in Distance Regular Graphs (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
by Minjia Shi Patrick SoléThe 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 Léonard Kwuida Talel AbdessalemFCA 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: 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
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: 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, Intelligent and Software Intensive Systems: Proceedings of the 16th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2022) (Lecture Notes in Networks and Systems #497)
by Leonard BarolliSoftware intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, other software systems, and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems, and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems. Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations, builds a fruitful impulse for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence, and cognitive sciences is a very important factor for the future development and innovation of software intensive and complex systems. The aim of the book “Complex, Intelligent and Software Intensive Systems” is to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: software intensive systems, complex systems, and intelligent systems.
Complex, Intelligent and Software Intensive Systems: Proceedings of the 18th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2024) (Lecture Notes on Data Engineering and Communications Technologies #87)
by Leonard BarolliSoftware Intensive Systems are systems, which heavily interact with other systems, sensors, actuators, devices, other software systems and users. More and more domains are involved with software intensive systems, e.g. automotive, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems. Complex Systems research is focused on the overall understanding of systems rather than its components. Complex Systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. The development of Intelligent Systems and agents, which is each time more characterized by the use of ontologies and their logical foundations build a fruitful impulse for both Software Intensive Systems and Complex Systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence, and cognitive sciences are very important factor for the future development and innovation of software intensive and complex systems. The aim of the volume “Complex, Intelligent and Software Intensive Systems” is to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: Software Intensive Systems, Complex systems and Intelligent Systems.
Complex, Intelligent and Software Intensive Systems: Proceedings of the 17th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2023) (Lecture Notes on Data Engineering and Communications Technologies #176)
by Leonard BarolliThis book aims to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: software intensive systems, complex systems and intelligent systems.Software intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, other software systems and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems.Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations, builds a fruitful impulse for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important factor for the future development and innovation of software intensive and complex systems.
Complex, Intelligent, and Software Intensive Systems: Proceedings of the 13th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2019) (Advances in Intelligent Systems and Computing #993)
by Leonard Barolli Farookh Khadeer Hussain Makoto IkedaThis book presents scientific interactions between the three interwoven and challenging areas of research and development of future ICT-enabled applications: software, complex systems and intelligent systems. Software intensive systems heavily interact with other systems, sensors, actuators, and devices, as well as other software systems and users. More and more domains involve software intensive systems, e.g. automotive, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, web services offer a new platform for enabling software intensive systems. Complex systems research focuses on understanding overall systems rather than their components. Such systems are characterized by the changing environments in which they act, and they evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents features the use of ontologies, and their logical foundations provide a fruitful impulse for both software intensive systems and complex systems. Research in the field of intelligent systems, robotics, neuroscience, artificial intelligence, and cognitive sciences is a vital factor in the future development and innovation of software intensive and complex systems.
Complex, Intelligent, and Software Intensive Systems: Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2018) (Advances in Intelligent Systems and Computing #772)
by Leonard Barolli Nadeem Javaid Makoto Ikeda Makoto TakizawaThis book provides a platform of scientific interaction between the three challenging and closely linked areas of ICT-enabled-application research and development: software intensive systems, complex systems and intelligent systems. Software intensive systems strongly interact with other systems, sensors, actuators, devices, other software systems and users. More and more domains are using software intensive systems, e.g. automotive and telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, web services offer a new platform for enabling software intensive systems. Complex systems research is focused on the overall understanding of systems rather than their components. Complex systems are characterized by the changing environments in which they interact. They evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents, which are increasingly characterized by their use of ontologies and their logical foundations, offer impulses for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence, and cognitive sciences are vital for the future development and innovation of software intensive and complex systems.
Complex, Intelligent and Software Intensive Systems: Proceedings of the 14th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2020) (Advances in Intelligent Systems and Computing #1194)
by Leonard Barolli Aneta Poniszewska-Maranda Tomoya EnokidoThis book explores three interwoven and challenging areas of research and development for future ICT-enabled applications: software intensive systems, complex systems and intelligent systems. Software intensive systems are systems that extensively interact with other systems, sensors, actuators, devices and users. More and more domains are now employing software intensive systems, e.g. the automotive sector, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services offers a new platform for enabling software intensive systems. Complex systems research is focused on the overall understanding of systems rather than their components. Complex systems are very much characterized by the changing environments in which they operate through their multiple internal and external interactions. They evolve and adapt through (internal and external) dynamic interactions. The development of intelligent systems and agents, which is increasingly characterized by the use of ontologies, can be beneficial for software intensive systems and complex systems alike. Accordingly, recent research in the areas of intelligent systems, robotics, neuroscience, artificial intelligence, and the cognitive sciences is essential to the future development of software intensive and complex systems.
Complex, Intelligent, and Software Intensive Systems: Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2017) (Advances in Intelligent Systems and Computing #611)
by Leonard Barolli Olivier TerzoThis book gathers the proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2017), held on June 28-June 30, 2017 in Torino, Italy. Software Intensive Systems are characterized by their intensive interaction with other systems, sensors, actuators, devices, and users. Further, they are now being used in more and more domains, e. g. the automotive sector, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems. Complex Systems research is focused on the understanding of a system as a whole rather than its components. Complex Systems are very much shaped by the changing environments in which they operate, and by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. The development of Intelligent Systems and agents, which invariably involves the use of ontologies and their logical foundations, offers a fruitful impulse for both Software Intensive Systems and Complex Systems. Recent research in the fields of intelligent systems, robotics, neuroscience, artificial intelligence, and cognitive sciences is essential to the future development of and innovations in software intensive and complex systems. The aim of the volume "Complex, Intelligent and Software Intensive Systems" is to provide a platform of scientific interaction between the three interwoven and challenging areas of research and development of future Information and Communications Technology (ICT)-enabled applications: Software Intensive Systems, Complex systems and Intelligent Systems.
Complex, Intelligent and Software Intensive Systems: Proceedings of the 15th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2021) (Lecture Notes in Networks and Systems #278)
by Leonard Barolli Kangbin Yim Tomoya EnokidoThis book includes the proceedings of the 15th International Conference on Complex, Intelligent, and Software Intensive Systems, which took place in Asan, Korea, on July 1–3, 2021. Software intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, and other software systems and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems, and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems. Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations build a fruitful impulse for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence, and cognitive sciences is very important factor for the future development and innovation of software intensive and complex systems. The aim of the book is to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: Software intensive systems, complex systems, and intelligent systems.
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,
The Complex Mind
by David Mcfarland Keith Stenning Maggie Mcgonigle-ChalmersCombining the study of animal minds, artificial minds, and human evolution, this book examine the advances made by comparative psychologists in explaining the intelligent behaviour of primates,the design of artificial autonomous systems and the cognitive products of language evolution.