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Hybrid Artificial Intelligent Systems
by Héctor Quintián Emilio Corchado Francisco Javier Martínez de Pisón Rubén UrracaThe two LNAI volumes 7208 and 7209 constitute the proceedings of the 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in March 2012. The 118 papers published in these proceedings were carefully reviewed and selected from 293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, systems, man, and cybernetics by HAIS workshop, methods of classifier fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management of production systems, hybrid artificial intelligent systems for ordinal regression, hybrid metaheuristics for combinatorial optimization and modelling complex systems, hybrid computational intelligence and lattice computing for image and signal processing and nonstationary models of pattern recognition and classifier combinations.
Hybrid Artificial Intelligent Systems: 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings (Lecture Notes in Computer Science #10870)
by Álvaro Herrero Héctor Quintián Emilio Corchado Francisco Javier de Cos Juez José Ramón Villar Enrique A. de la Cal José António SáezThis volume constitutes the refereed proceedings of the 13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018, held in Oviedo, Spain, in June 2018.The 62 full papers published in this volume were carefully reviewed and selected from 104 submissions. They are organized in the following topical sections: Neurocomputing, fuzzy systems, rough sets, evolutionary algorithms, Agents andMultiagent Systems, and alike.
Hybrid Artificial Intelligent Systems: 14th International Conference, HAIS 2019, León, Spain, September 4–6, 2019, Proceedings (Lecture Notes in Computer Science #11734)
by Hilde Pérez García Lidia Sánchez González Manuel Castejón Limas Héctor Quintián Pardo Emilio Corchado RodríguezThis volume constitutes the refereed proceedings of the 14th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2019, held in León, Spain, in September 2019. The 64 full papers published in this volume were carefully reviewed and selected from 134 submissions. They are organized in the following topical sections: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications.
Hybrid Artificial Intelligent Systems: 15th International Conference, HAIS 2020, Gijón, Spain, November 11-13, 2020, Proceedings (Lecture Notes in Computer Science #12344)
by Héctor Quintián Emilio Corchado Enrique Antonio de la Cal José Ramón Villar FlechaThis book constitutes the refereed proceedings of the 15th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2020, held in Gijón, Spain, in November 2020. The 65 regular papers presented in this book were carefully reviewed and selected from 106 submissions. The papers are grouped into these topics: advanced data processing and visualization techniques; bio-inspired models and optimization; learning algorithms; data mining, knowledge discovery and big data; and hybrid artificial intelligence applications.
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings (Lecture Notes in Computer Science #12886)
by Héctor Quintián Emilio Corchado Pablo García Bringas Hugo Sanjurjo González Iker Pastor LópezThis book constitutes the refereed proceedings of the 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021, held in Bilbao, Spain, in September 2021.The 44 full and 11 short papers presented in this book were carefully reviewed and selected from 81 submissions. The papers are grouped into these topics: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; machine learning applications; hybrid intelligent applications; deep learning applications; and optimization problem applications.
Hybrid Artificial Intelligent Systems: 17th International Conference, HAIS 2022, Salamanca, Spain, September 5–7, 2022, Proceedings (Lecture Notes in Computer Science #13469)
by Álvaro Herrero Héctor Quintián Emilio Corchado Francisco Javier Martínez de Pisón Hilde Pérez García Enrique A. de la Cal Francisco Martínez Álvarez Alicia Troncoso Lora Pablo García Bringas José Ramón Villar Flecha Giuseppe PsailaThis book constitutes the refereed proceedings of the 17th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2022, held in Salamanca, Spain, in September 2022.The 43 full papers presented in this book were carefully reviewed and selected from 67 submissions. They were organized in topical sections as follows: bioinformatics; data mining and decision support systems; deep learning; evolutionary computation; HAIS applications; image and speech signal processing; and optimization techniques.
Hybrid Artificial Intelligent Systems: 18th International Conference, HAIS 2023, Salamanca, Spain, September 5–7, 2023, Proceedings (Lecture Notes in Computer Science #14001)
by Álvaro Herrero Héctor Quintián Emilio Corchado Francisco Javier Martínez de Pisón Hilde Pérez García Francisco Martínez Álvarez Alicia Troncoso Lora Pablo García Bringas José Luis Calvo RolleThis book constitutes the refereed proceedings of the 18th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2023, held in Salamanca, Spain, during September 5–7, 2023.The 65 full papers included in this book were carefully reviewed and selected from 120 submissions. They were organized in topical sections as follows: Anomaly and Fault Detection, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization, HAIS Applications, Image and Speech Signal Processing, Agents and Multiagents, Biomedical Applicatons.
Hybrid Artificial Intelligent Systems: 19th International Conference, HAIS 2024, Salamanca, Spain, October 9–11, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14857)
by Álvaro Herrero Héctor Quintián Emilio Corchado Francisco Javier Martínez de Pisón Hilde Pérez García Francisco Martínez Álvarez Alicia Troncoso Lora Pablo García Bringas José Luis Calvo Rolle Esteban Jove Pérez Paolo FosciThis two-part proceedings volume constitutes the refereed proceedings of the 19th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2024), held in Salamanca, Spain, during October 9–11, 2024. The 52 full papers were carefully reviewed and selected from 112 submissions. They were organized in topical sections as follows: Part I: Biomedical Applications, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization. Part II: HAIS Applications, HAIS Energy Applications, Image and Text Processing, Reinforced Learning.
Hybrid Artificial Intelligent Systems: 19th International Conference, HAIS 2024, Salamanca, Spain, October 9–11, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14858)
by Álvaro Herrero Héctor Quintián Emilio Corchado Francisco Javier Martínez de Pisón Hilde Pérez García Francisco Martínez Álvarez Alicia Troncoso Lora Pablo García Bringas José Luis Calvo Rolle Esteban Jove Pérez Paolo FosciThis two-part proceedings volume constitutes the refereed proceedings of the 19th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2024), held in Salamanca, Spain, during October 9–11, 2024. The 52 full papers were carefully reviewed and selected from 112 submissions. They were organized in topical sections as follows: Part I: Biomedical Applications, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization. Part II: HAIS Applications, HAIS Energy Applications, Image and Text Processing, Reinforced Learning.
Hybrid Cloud Apps with OpenShift and Kubernetes
by Michael Elder Jake Kitchener Dr Brad TopolSelling your CTO on the merits of OpenShift and Kubernetes is only the beginning. To operate and scale OpenShift, you also need to know how to manage and expose resources to application teams and continuously deliver changes to the applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques for operationalizing OpenShift and Kubernetes in the enterprise.Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more.Examine the fundamental concepts of Kubernetes architectureGet different Kubernetes and OpenShift environments up and runningDive into advanced resource management topics, including capacity planningLearn how to support high availability inside a single clusterUse production-level approaches for continuous delivery and code promotion across clustersExplore hybrid cloud use cases, including multicluster provisioning, upgrading, and policy supportDevise and deliver disaster recovery strategies
Hybrid Cloud For Dummies
by Marcia Kaufman Fern Halper Hurwitz Dan KirschChoose the right combination of public, private, and data center resources to empower your businessHybrid clouds are transforming the way that organizations do business. This handy guide helps you find out what this new cloud deployment model is all about. You'll get down- to-earth information about cloud technology, questions to consider, and how to plan and deliver your move to a hybrid environment.Constructing the cloud -- learn the basic concepts of the hybrid cloud from both a technical and business perspectiveDelivering cloud services -- dive deeper into the actual foundational elements of the hybrid cloudIdentifying business value -- determine your hybrid cloud needs based on your business objectivesUnified hybrid environments -- find out what it means to create a computing environment that brings elements of the data center together with public and private cloud servicesMaking it work -- examine the steps you need to take to make this new architectural approach work -- including security, governance, data, integration, monitoring, and moreGet your ticket to the cloud -- tips on how to talk to cloud providers and plan for the service you chooseOpen the book and find:Different cloud deployment models and what differentiates a hybrid cloud from other cloud modelsThe impact of the hybrid cloud on cloud delivery modelsWhy service orientation matters in a hybrid cloudWays to develop and deploy applications in a hybrid worldGuidance in finding the right hybrid cloud service providersSecurity and governance in a hybrid modelThe role of workload optimization in hybrid environmentsLearn to:Recognize the benefits and challenges of a hybrid cloudEfficiently deliver and manage cloud servicesUnderstand the impact of emerging cloud standardsProtect customer data with sound security practices
Hybrid Cloud Infrastructure and Operations Explained: Accelerate your application migration and modernization journey on the cloud with IBM and Red Hat
by Mansura Habiba Mihai CrivetiModernize and migrate smoothly to hybrid cloud infrastructure and successfully mitigate complexities relating to the infrastructure, platform, and production environmentKey FeaturesPresents problems and solutions for application modernization based on real-life use casesHelps design and implement efficient, highly available, and scalable cloud-native applicationsTeaches you how to adopt a cloud-native culture for successful deployments on hybrid cloud platformsBook DescriptionMost organizations are now either moving to the cloud through modernization or building their apps in the cloud. Hybrid cloud is one of the best approaches for cloud migration and the modernization journey for any enterprise. This is why, along with coding skills, developers need to know the big picture of cloud footprint and be aware of the integration models between apps in a hybrid and multi-cloud infrastructure. This book represents an overview of your end-to-end journey to the cloud. To be future agnostic, the journey starts with a hybrid cloud.You'll gain an overall understanding of how to approach migration to the cloud using hybrid cloud technologies from IBM and Red Hat. Next, you'll be able to explore the challenges, requirements (both functional and non-functional), and the process of app modernization for enterprises by analyzing various use cases. The book then provides you with insights into the different reference solutions for app modernization on the cloud, which will help you to learn how to design and implement patterns and best practices in your job.By the end of this book, you'll be able to successfully modernize applications and cloud infrastructure in hyperscaler public clouds such as IBM and hybrid clouds using Red Hat technologies as well as develop secure applications for cloud environments.What you will learnStrategize application modernization, from the planning to the implementation phaseApply cloud-native development concepts, methods, and best practicesSelect the right strategy for cloud adoption and modernizationExplore container platforms, storage, network, security, and operationsManage cloud operations using SREs, FinOps, and MLOps principlesDesign a modern data insight hub on the cloudWho this book is forThis book is for cloud-native application developers involved in modernizing legacy applications by refactoring and rebuilding them. Cloud solution architects and technical leaders will also find this book useful. It will be helpful to have a basic understanding of cloud-native application development and cloud providers before getting started with this book.
Hybrid Cloud Management with Red Hat CloudForms
by Sangram RathBuild, manage, and control an open hybrid cloud infrastructure using Red Hat CloudForms About This Book * Understand the infrastructure management capabilities through monitoring and tracking techniques * Control the hybrid cloud infrastructure using policies and define actions based on events and conditions * Learn to view and use trends in the hybrid setup to perform capacity planning and optimization Who This Book Is For If you are an existing Red Hat administrator who is new to Red Hat Cloud Infrastructure and would like to manage and deploy Hybrid clouds, then this book is for you. Red Hat Linux administration experience is assumed. What You Will Learn * Install and configure Red Hat CloudForms 3.1 in the Red Hat Enterprise Linux OpenStack platform * Add Amazon EC2 and OpenStack as Cloud providers and adding VMware as an infrastructure provider * Provision an EC2 instance * Manage lifecycle of virtual machines and instances * Create custom domains, namespaces, classes, schemas, instances, and invoke automation workflows * Monitor and gather intelligence information about the Hybrid Cloud environment * Get to know about supported APIs that can be used to integrate third-party systems with Red Hat CloudForms In Detail The increasing adoption of the Cloud has led to enterprises having a heterogeneous IT environment that consists of both private and public cloud infrastructures, and in most cases existing virtualized infrastructures as well. As building and managing such a diverse IT infrastructure is a major challenges, Red Hat CloudForms provides a unified, consistent, and comprehensive management platform. With features like cloud intelligence dashboard, self-service portal, lifecycle management, policy-based governance, quotas, capacity management, monitoring and reporting, Red Hat CloudForms lets you manage your hybrid cloud infrastructure from a single pane of glass. This book will equip you with a hands-on approach on how to build a hybrid cloud environment and then manage, control, and gain operational insights into it. The book starts by showing you how to install and configure Red Hat CloudForms, and add infrastructure and cloud providers to build the hybrid cloud environment. Next, you will learn to provision virtual machines and instances to these platform providers, and manage and control the lifecycle of these resources. You will also get to know about automating provisioning. Moving on, you'll get to grips with the management of resources using policies, events, conditions, and actions. You'll also learn to monitor these resources from a single pane of glass. Finally, the book covers viewing capacity and utilization trends to optimize the overall hybrid cloud infrastructure, and also introduces you to supported APIs. By end of the book, you will be able to deploy and use Red Hat CloudForms. Style and approach This book is an easy-to-follow guide that explains all topics in a sequential manner, building upon each other to finally create and manage the Hybrid Cloud environment.
Hybrid Cloud Security Patterns: Leverage modern repeatable architecture patterns to secure your workloads on the cloud
by Sreekanth Iyer Dr. Nataraj NagaratnamUnderstand unique security patterns related to identity and access management, infrastructure, data and workload protection, compliance and posture management, and zero trust for your hybrid cloud deploymentsKey FeaturesSecure cloud infrastructure, applications, data, and shift left security to create DevSecOpsExplore patterns for continuous security, automated threat detection and accelerated incident responseLeverage hybrid cloud security patterns for protecting critical data using a zero trust modelPurchase of the print or Kindle book includes a free eBook in the PDF formatBook DescriptionSecurity is a primary concern for enterprises going through digital transformation and accelerating their journey to multi-cloud environments. This book recommends a simple pattern-based approach to architecting, designing and implementing security for workloads deployed on AWS, Microsoft Azure, Google Cloud, and IBM Cloud.The book discusses enterprise modernization trends and related security opportunities and challenges. You'll understand how to implement identity and access management for your cloud resources and applications. Later chapters discuss patterns to protect cloud infrastructure (compute, storage and network) and provide protection for data at rest, in transit and in use. You'll also learn how to shift left and include security in the early stages of application development to adopt DevSecOps. The book also deep dives into threat monitoring, configuration and vulnerability management, and automated incident response. Finally, you'll discover patterns to implement security posture management backed with intelligence and automated protection to stay ahead of threats.By the end of this book, you'll have learned all the hybrid cloud security patterns and be able to use them to create zero trust architecture that provides continuous security and compliance for your cloud workloads.What you will learnAddress hybrid cloud security challenges with a pattern-based approachManage identity and access for users, services, and applicationsUse patterns for secure compute, network isolation, protection, and connectivityProtect data at rest, in transit and in use with data security patternsUnderstand how to shift left security for applications with DevSecOpsManage security posture centrally with CSPMAutomate incident response with SOARUse hybrid cloud security patterns to build a zero trust security modelWho this book is forThe book is for cloud solution architects, security professionals, cloud engineers, and DevOps engineers, providing prescriptive guidance on architecture and design patterns for protecting their data and securing applications deployed on hybrid cloud environments. Basic knowledge of different types of cloud providers, cloud deployment models, and cloud consumption models is expected.
Hybrid Cloud for Architects: Build robust hybrid cloud solutions using AWS and OpenStack
by David Duncan Alok ShrivastwaBuild your own hybrid cloud strategy with this comprehensive learning guide. Key Features Build a hybrid cloud strategy for your organization with AWS and OpenStack Leverage Hybrid Cloud to design a complex deployment pipeline Learn to implement security and monitoring best practices with real-world examples Book Description Hybrid cloud is currently the buzz word in the cloud world. Organizations are planning to adopt hybrid cloud strategy due to its advantages such as untested workloads, cloud-bursting, cloud service brokering and so on. This book will help you understand the dynamics, design principles, and deployment strategies of a Hybrid Cloud. You will start by understanding the concepts of hybrid cloud and the problems it solves as compared to a stand-alone public and private cloud. You will be delving into the different architecture and design of hybrid cloud. The book will then cover advanced concepts such as building a deployment pipeline, containerization strategy, and data storage mechanism. Next up, you will be able to deploy an external CMP to run a Hybrid cloud and integrate it with your OpenStack and AWS environments. You will also understand the strategy for designing a Hybrid Cloud using containerization and work with pre-built solutions like vCloud Air, VMware for AWS, and Azure Stack. Finally, the book will cover security and monitoring related best practices that will help you secure your cloud infrastructure. By the end of the book, you will be in a position to build a hybrid cloud strategy for your organization. What you will learn Learn the demographics and definitions of Hybrid Cloud Understand the different architecture and design of Hybrid Cloud Explore multi-cloud strategy and use it with your hybrid cloud Implement a Hybrid Cloud using CMP / Common API’s Implement a Hybrid Cloud using Containers Overcome various challenges and issues while working with your Hybrid Cloud Understand how to monitor your Hybrid Cloud Discover the security implications in the Hybrid CloudWho this book is for This book is targeted at cloud architects, cloud solution providers, DevOps engineers, or any working stakeholder who wants to learn about the hybrid cloud architecture. A basic understanding of public and private cloud is desirable.
Hybrid Cloud for Developers: Develop and deploy cost-effective applications on the AWS and OpenStack platforms with ease
by Manoj HirwayDevelop and manage applications on the AWS and OpenStack platforms with this comprehensive learning guide.Key FeaturesA step-by-step guide to help you develop applications on the hybrid cloud platform. Acquire an in-depth understanding of the OpenStack and AWS cloud platforms.Extensive source code examples for OpenStack and AWS applications.Easily troubleshoot OpenStack and AWS issues.Understand the best practices and security measures for the hybrid cloud platform.Book DescriptionThis book introduces you to the hybrid cloud platform, and focuses on the AWS public cloud and OpenStack private cloud platforms. It provides a deep dive into the AWS and OpenStack cloud platform services that are essential for developing hybrid cloud applications. You will learn to develop applications on AWS and OpenStack platforms with ease by leveraging various cloud services and taking advantage of PaaS.The book provides you with the ability to leverage the flexibility of choosing a cloud platform for migrating your existing resources to the cloud, as well as developing hybrid cloud applications that can migrate virtual machine instances from AWS to OpenStack and vice versa. You will also be able to build and test cloud applications without worrying about the system that your development environment supports.The book also provides an in-depth understanding of the best practices that are followed across the industry for developing cloud applications, as well as for adapting the hybrid cloud platform. Lastly, it also sheds light on various troubleshooting techniques for OpenStack and AWS cloud platform services that are consumed by hybrid cloud applications.By the end of this book, you will have a deep understanding of the hybrid cloud platform and will be able to develop robust, efficient, modular, scalable, and flexible cloud applications.What you will learn Understand the hybrid cloud platform Explore the AWS and OpenStack cloud platforms in depth Develop AWS applications with source code examples Develop OpenStack applications with source code examples Troubleshoot OpenStack and AWS Learn hybrid cloud best practices Understand security measures on the hybrid cloudWho this book is forIf you are an IT professional, developer, or a DevOps engineer looking to develop and manage your applications on the hybrid cloud platform, then this book is for you. Some prior knowledge of the public and private cloud will enhance your skills. Developers looking to build applications using AWS or OpenStack services will also benefit from this book.
Hybrid Communication Systems for Future 6G and Beyond: Visible Light Communication & Radio over Fiber Technology
by Rao KashifComprehensive guide to hybrid communication systems using visible light communication, radio over fiber, and auto channel switching technologies Hybrid Communication Systems for Future 6G and Beyond explores the future of wireless communication and discusses how we can create more efficient and reliable ways to communicate by unlocking the potential of three specific technologies: visible light communication (VLC), radio over fiber (RoF) technology, and auto channel switching. This book begins by exploring the potential of VLC technology, which is currently considered the best alternative to wireless communication. It then moves on to describe how RoF technology can provide a powerful backhaul solution for VLC. Later chapters cover auto channel switching and how it can facilitate data traffic sharing between WiFi and LiFi technologies. Case studies of successful hybrid communication system implementations are included throughout the text to showcase real-world applications and aid in reader comprehension. Written by a highly qualified author with experience in both academia and industry, Hybrid Communication Systems for Future 6G and Beyond includes information on: The evolution, advantages, and disadvantages of hybrid systems, as well as their current limitations and potential solutions to these limitations RoF modulation techniques, including direct and external modulation, and RoF configuration, including intermediate frequency over fiber, baseband over fiber, and millimeter-wave signal generation RoF system level analysis, covering encoding formats, PIN and APD photodiodes, and various experiments and simulations Hybrid communication technology that incorporates wireless Wi-Fi and Visible Light Communication (VLC) such as Li-Fi, to support the upcoming 6G and beyond high-speed communication networks Hybrid Communication Systems for Future 6G and Beyond is an invaluable resource for students, researchers, and professionals in the fields of telecommunications and electronic networking who are interested in designing and implementing hybrid communication systems.
Hybrid Computational Intelligence: Research and Applications (Studies in Computational Intelligence #611)
by Debashis De Václav Snášel Siddhartha Bhattacharyya Indrajit PanHybrid computational intelligent techniques are efficient in dealing with the real-world problems encountered in engineering fields. The primary objective of this book is to provide an exhaustive introduction as well as review of the hybrid computational intelligent paradigm, with supportive case studies. In addition, it aims to provide a gallery of engineering applications where this computing paradigm can be effectively use. Finally, it focuses on the recent quantum inspired hybrid intelligence to develop intelligent solutions for the future. The book also incorporates video demonstrations of each application for better understanding of the subject matter.
Hybrid Computational Intelligent Systems: Modeling, Simulation and Optimization (Quantum Machine Intelligence)
by Siddhartha BhattacharyyaHybrid Computational Intelligent Systems – Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field. Salient features include the fundamentals of modeling and simulation with recourse to knowledge-based simulation, interaction paradigms, and human factors, along with the enhancement of the existing state of art in a high-performance computing setup. In addition, this book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation. The volume also highlights novel applications for different engineering problems including signal and data processing, speech, image, sensor data processing, innovative intelligent systems, and swarm intelligent manufacturing systems. Features: A self-contained approach to integrating the principles of hybrid computational ntelligence with system modeling and simulation Well-versed foundation of computational intelligence and its application to real life engineering problems Elucidates essential background, concepts, definitions, and theories thereby putting forward a complete treatment on the subject Effective modeling of hybrid intelligent systems forms the backbone of almost every operative system in real-life Proper simulation of real-time hybrid intelligent systems is a prerequisite for deriving any real-life system solution Optimized system modeling and simulation enable real-time and failsafe operations of the existing hybrid intelligent system solutions Information presented in an accessible way for researchers, engineers, developers, and practitioners from academia and industry working in all major areas and interdisciplinary areas of hybrid computational intelligence and communication systems to evolve human-centered modeling and simulations of real-time data-intensive intelligent systems.
Hybrid Dynamical Systems
by Mohamed Djemai Michael DefoortThis book is a collection of contributions defining the state of current knowledge and new trends in hybrid systems - systems involving both continuous dynamics and discrete events - as described by the work of several well-known groups of researchers. Hybrid Dynamical Systems presents theoretical advances in such areas as diagnosability, observability and stabilization for various classes of system. Continuous and discrete state estimation and self-triggering control of nonlinear systems are advanced. The text employs various methods, among them, high-order sliding modes, Takagi-Sugeno representation and sampled-data switching to achieve its ends. The many applications of hybrid systems from power converters to computer science are not forgotten; studies of flexible-joint robotic arms and - as representative biological systems - the behaviour of the human heart and vasculature, demonstrate the wide-ranging practical significance of control in hybrid systems. The cross-disciplinary origins of study in hybrid systems are evident. Academic researchers and graduate students interested in hybrid and switched systems need look no further than Hybrid Dynamical Systems for a single source which will bring them up to date with work in this area from around the world.
Hybrid Dynamical Systems: Fundamentals and Methods (Advanced Textbooks in Control and Signal Processing)
by Hai Lin Panos J. AntsaklisA graduate-level textbook, Hybrid Dynamical Systems provides an accessible and comprehensive introduction to the theory of hybrid systems. It emphasizes results that are central to a good understanding of the importance and role of such systems. The authors have developed the materials in this book while teaching courses on hybrid systems, cyber-physical systems, and formal methods.This textbook helps students to become familiar with both the major approaches coloring the study of hybrid dynamical systems. The computer science and control systems points of view – emphasizing discrete dynamics and real time, and continuous dynamics with switching, respectively – are each covered in detail.The book shows how the behavior of a system with tightly coupled cyber- (discrete) and physical (continuous) elements can best be understood by a model simultaneously encompassing all the dynamics and their interconnections. The theory presented is of fundamental importance in a wide range of emerging fields from next-generation transportation systems to smart manufacturing.Features of the text include:extensive use of examples to illustrate the main concepts and to provide insights additional to those acquired from the main text;chapter summaries enabling students to assess their progress;end-of-chapter exercises, which test learning as a course proceeds;an instructor’s guide showing how different parts of the book can be exploited for different course requirements; anda solutions manual, freely available for download by instructors adopting the book for their teaching.Access to MATLAB and Stateflow is not required but would be beneficial, especially for exercises in which simulations are a key tool.
Hybrid Dynamical Systems: Modeling, Stability, and Robustness
by Andrew R. Teel Rafal Goebel Ricardo G. SanfeliceHybrid dynamical systems exhibit continuous and instantaneous changes, having features of continuous-time and discrete-time dynamical systems. Filled with a wealth of examples to illustrate concepts, this book presents a complete theory of robust asymptotic stability for hybrid dynamical systems that is applicable to the design of hybrid control algorithms--algorithms that feature logic, timers, or combinations of digital and analog components. With the tools of modern mathematical analysis, Hybrid Dynamical Systems unifies and generalizes earlier developments in continuous-time and discrete-time nonlinear systems. It presents hybrid system versions of the necessary and sufficient Lyapunov conditions for asymptotic stability, invariance principles, and approximation techniques, and examines the robustness of asymptotic stability, motivated by the goal of designing robust hybrid control algorithms. This self-contained and classroom-tested book requires standard background in mathematical analysis and differential equations or nonlinear systems. It will interest graduate students in engineering as well as students and researchers in control, computer science, and mathematics.
Hybrid Encryption Algorithms over Wireless Communication Channels
by Mai Helmy ShaheenThis book presents novel hybrid encryption algorithms that possess many different characteristics. In particular, “Hybrid Encryption Algorithms over Wireless Communication Channels”, examines encrypted image and video data for the purpose of secure wireless communications. A study of two different families of encryption schemes are introduced: namely, permutation-based and diffusion-based schemes. The objective of the book is to help the reader selecting the best suited scheme for the transmission of encrypted images and videos over wireless communications channels, with the aid of encryption and decryption quality metrics. This is achieved by applying number-theory based encryption algorithms, such as chaotic theory with different modes of operations, the Advanced Encryption Standard (AES), and the RC6 in a pre-processing step in order to achieve the required permutation and diffusion. The Rubik’s cube is used afterwards in order to maximize the number of permutations. Transmission of images and videos is vital in today’s communications systems. Hence, an effective encryption and modulation schemes are a must. The author adopts Orthogonal Frequency Division Multiplexing (OFDM), as the multicarrier transmission choice for wideband communications. For completeness, the author addresses the sensitivity of the encrypted data to the wireless channel impairments, and the effect of channel equalization on the received images and videos quality. Complete simulation experiments with MATLAB® codes are included. The book will help the reader obtain the required understanding for selecting the suitable encryption method that best fulfills the application requirements.
Hybrid Fault Tolerance Techniques to Detect Transient Faults in Embedded Processors
by Jürgen Becker José Rodrigo Azambuja Fernanda KastensmidtThis book describes fault tolerance techniques based on software and hardware to create hybrid techniques. They are able to reduce overall performance degradation and increase error detection when associated with applications implemented in embedded processors. Coverage begins with an extensive discussion of the current state-of-the-art in fault tolerance techniques The authors then discuss the best trade-off between software-based and hardware-based techniques and introduce novel hybrid techniques. Proposed techniques increase existing fault detection rates up to 100%, while maintaining low performance overheads in area and application execution time.
Hybrid Fiber-Optic Coaxial Networks: How to Design, Build, and Implement an Enterprise-Wide Broadband HFC Network
by Ernest TunmannThis book covers the planning, design and implementation of hybrid fiber-optic coaxial (HFC) broadband networks in schools, universities, hospitals, factories and offices, whether they are in a single building or multiple campuses. Within the next few yea