In spite of their importance and potential societal impact, there is currently no comprehensive source of information about vehicular ad hoc networks (VANETs). Cohesively integrating the state of the art in this emerging field, Vehicular Networks: From Theory to Practice elucidates many issues involved in vehicular networking, including traffic engineering, human factors studies, and novel computer science research. Divided into six broad sections, the book begins with an overview of traffic engineering issues, such as traffic monitoring and traffic flow modeling. It then introduces governmental and industrial efforts in the United States and Europe to set standards and perform field tests on the feasibility of vehicular networks. After highlighting innovative applications enabled by vehicular networks, the book discusses several networking-related issues, including routing and localization. The following section focuses on simulation, which is currently the primary method for evaluating vehicular networking systems. The final part explores the extent and impact of driver distraction with in-vehicle displays. Encompassing both introductory and advanced concepts, this guide covers the various areas that impact the design of applications for vehicular networks. It details key research challenges, offers guidance on developing future standards, and supplies valuable information on existing experimental studies.

Classical FORTRAN: Programming for Engineering and Scientific Applications, Second Edition teaches how to write programs in the Classical dialect of FORTRAN, the original and still most widely recognized language for numerical computing. This edition retains the conversational style of the original, along with its simple, carefully chosen subset language and its focus on floating-point calculations. New to the Second Edition Additional case study on file I/O More about CPU timing on Pentium processors More about the g77 compiler and Linux With numerous updates and revisions throughout, this second edition continues to use case studies and examples to introduce the language elements and design skills needed to write graceful, correct, and efficient programs for real engineering and scientific applications. After reading this book, students will know what statements to use and where as well as why to avoid the others, helping them become expert FORTRAN programmers.

This book surveys reliability, availability, maintainability and safety (RAMS) analyses of various engineering systems. It highlights their role throughout the lifecycle of engineering systems and explains how RAMS activities contribute to their efficient and economic design and operation. The book discusses a variety of examples and applications of RAMS analysis, including: * software products; * electrical and electronic engineering systems; * mechanical engineering systems; * nuclear power plants; * chemical and process plants and * railway systems. The wide-ranging nature of the applications discussed highlights the multidisciplinary nature of complex engineering systems. The book provides a quick reference to the latest advances and terminology in various engineering fields, assisting students and researchers in the areas of reliability, availability, maintainability, and safety engineering.

This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17-18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.

From fundamental concepts and theories to implementation protocols and cutting-edge applications, the Handbook of Mobile Systems Applications and Services supplies a complete examination of the evolution of mobile services technologies. It examines service-oriented architecture (SOA) and explains why SOA and service oriented computing (SOC) will play key roles in the development of future mobile services. Investigating current service discovery frameworks, the book covers the basics of mobile services and applications developed in various contexts. The first section provides readers with the required background in mobile services architecture. Next, it details of middleware support for mobile services. The final section discusses security and applications of mobile services. Containing the contributions of leading researchers and academics from around the world, the book: Introduces a new location-based access control model Unveils a simple, yet powerful enhancement that enables Web services to locally manage workflow dependencies and handle messages resulting from multiple workflows Examines an event-based location aware query model that continuously aggregates data in specific areas around mobile sensors of interest Addresses the problem of location-based access control in the context of privacy protection Presents a layered architecture of context-aware middleware Considers the development of assistive technology solutions for the blind or visually impaired Discussing architecture for supporting multi-mode terminals in integrated heterogeneous wireless networks, this book addresses the network availability constraint to serve all mobile services originating from a single-user terminal. It examines QoS protocols and their enhancements in supporting user mobility. Analyzing mobile services security vulnerabilities, it details security design best practices that mobile service developers can use to improve the security of their mobile systems.

Functional and Object-Oriented Analysis & Design: An Integrated Methodology teaches students of information systems, software engineering, computer science and related areas how to analyze and design information systems using the FOOM methodology. FOOM combines the object-oriented approach and the functional (process-oriented) approach. It makes a clear distinction between the analysis and design development phases, and enables a smooth transition from the former to the latter. The methodology in ""Functional and Object-Oriented Analysis & Design: An Integrated Methodolgy"" is very structured. As a result, it provides step-by-step guidelines on what to do and how to do each of the analysis and design activities. Many examples make the learning and utilization of the methodology easy.

Many systems engineering books describe the systematic process of developing, designing, and deploying large-scale complex systems, yet fail to present the fundamental systemic thinking needed to conceive complex systems and solve complex socio-technical problems. Rather than delve into the formal processes of systems engineering, this unique book emphasizes the underlying systems analysis component and associated though processes. Systems analysis focuses on problem definition and offers a unique book emphasizes the underlying systems analysis component and associated though processes. Systems analysis focuses on problem defining and offers a unique perspective on problem solving in all type so f domains. How to Do systems Analysis describes an approach that is appropriate for large-scale, complex systems in diverse disciplines. More specifically, How to Do Systems Analysis: Covers the six major phases of systems analysis, including goal development, the index of performance, and alternative candidate solutions, as well as the management of the systems team, project management, and more presents the core concepts of a general systems analysis methodology Includes examples that illustrate systems analysis concepts, along with case studies of systems analysis and systems engineering in the real world Features exercises at the end of many chapters to challenge readers to practice systems analysis thinking and skills

An eye-opening, thought-provoking reference for professionals in field that need input from systems engineering, such as telecommunications, transportation, m business consulting, and health care, this book is also a stimulating text for senior undergraduate and graduatestudents in systems engineering and systems analysis courses.

People today use technology on different devices in different locations. Users expect to access information on all relevant screens and across multiple channels through smartphones, tablets, laptops/desktops, smart (internet-connected) TVs, and other devices, such as smartwatches for example. Multiscreen is no longer a nice add-on, it's a requirement. In this environment, user experience needs to cater to multiple devices. This book provides a holistic approach that will help UX professionals to offer a hands-on guide for UX design across multiple screens. It presents an opportunity to learn how to cater designs for customers. Readers will find patterns, strategies, examples and case studies, methodologies, and insights to help inspire them to develop a viable strategy for their own digital products and services. UX professionals will walk through important elements of multiscreen UX: Investigating the devices and their capabilities Understanding the users and their capabilities Considering the context in which users use these devices Navigating next generation information experiences and the future of content management Designing content and UI architecture for multiscreen projects

The IoT topology defines the way various components communicate with each other within a network. Topologies can vary greatly in terms of security, power consumption, cost, and complexity. Optimizing the IoT topology for different applications and requirements can help to boost the network's performance and save costs. More importantly, optimizing the topology robustness can ensure security and prevent network failure at the foundation level. In this context, this book examines the optimization schemes for topology robustness in the IoT, helping readers to construct a robustness optimization framework, from self-organizing to intelligent networking. The book provides the relevant theoretical framework and the latest empirical research on robustness optimization of IoT topology. Starting with the self-organization of networks, it gradually moves to genetic evolution. It also discusses the application of neural networks and reinforcement learning to endow the node with self-learning ability to allow intelligent networking. This book is intended for students, practitioners, industry professionals, and researchers who are eager to comprehend the vulnerabilities of IoT topology. It helps them to master the research framework for IoT topology robustness optimization and to build more efficient and reliable IoT topologies in their industry.

This book presents practical guidelines for university research and administration. It uses a project management framework within a systems perspective to provide strategies for planning, scheduling, allocating resources, tracking, reporting, and controlling university-based research projects and programs. Project Management for Scholarly Researchers: Systems, Innovation, and Technologies covers the technical and human aspects of research management. It discusses federal requirements and compliance issues, in addition to offering advice on proper research lab management and faculty mentoring. It explains the hierarchy of needs of researchers to help readers identify their own needs for their research enterprises. This book provides rigorous treatment and guidance for all engineering fields and related business disciplines, as well as all management and humanities fields.

The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions.

The book describes a fundamentally new approach to software dependability, considering a software system as an ever-changing system due to changes in service objectives, users' requirements, standards and regulations, and to advances in technology. Such a system is viewed as an Open System since its functions, structures, and boundaries are constantly changing. Thus, the approach to dependability is called Open Systems Dependability. The DEOS technology realizes Open Systems Dependability. It puts more emphasis on stakeholders' agreement and accountability achievement for business/service continuity than in elemental technologies.

This text presents a specific, synthesized approach to the application of instructional design principles, so that the designer can more easily achieve closure on the design. Each step in the process is a logical part of the mosaic forming an instructional design.

The Verilog Hardware Description Language (Verilog-HDL) has long been the most popular language for describing complex digital hardware. It started life as a prop- etary language but was donated by Cadence Design Systems to the design community to serve as the basis of an open standard. That standard was formalized in 1995 by the IEEE in standard 1364-1995. About that same time a group named Analog Verilog International formed with the intent of proposing extensions to Verilog to support analog and mixed-signal simulation. The first fruits of the labor of that group became available in 1996 when the language definition of Verilog-A was released. Verilog-A was not intended to work directly with Verilog-HDL. Rather it was a language with Similar syntax and related semantics that was intended to model analog systems and be compatible with SPICE-class circuit simulation engines. The first implementation of Verilog-A soon followed: a version from Cadence that ran on their Spectre circuit simulator. As more implementations of Verilog-A became available, the group defining the a- log and mixed-signal extensions to Verilog continued their work, releasing the defi- tion of Verilog-AMS in 2000. Verilog-AMS combines both Verilog-HDL and Verilog-A, and adds additional mixed-signal constructs, providing a hardware description language suitable for analog, digital, and mixed-signal systems. Again, Cadence was first to release an implementation of this new language, in a product named AMS Designer that combines their Verilog and Spectre simulation engines.

This book contains some selected papers from the International Conference on Extreme Learning Machine 2016, which was held in Singapore, December 13-15, 2016. This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. Extreme Learning Machines (ELM) aims to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that "random hidden neurons" capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large-scale computing and artificial intelligence. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.

You know how to code in Elixir; now learn to think in it. Learn to design libraries with intelligent layers that shape the right data structures, flow from one function into the next, and present the right APIs. Embrace the same OTP that's kept our telephone systems reliable and fast for over 30 years. Move beyond understanding the OTP functions to knowing what's happening under the hood, and why that matters. Using that knowledge, instinctively know how to design systems that deliver fast and resilient services to your users, all with an Elixir focus. Elixir is gaining mindshare as the programming language you can use to keep you software running forever, even in the face of unexpected errors and an ever growing need to use more processors. This power comes from an effective programming language, an excellent foundation for concurrency and its inheritance of a battle-tested framework called the OTP. If you're using frameworks like Phoenix or Nerves, you're already experiencing the features that make Elixir an excellent language for today's demands. This book shows you how to go beyond simple programming to designing, and that means building the right layers. Embrace those data structures that work best in functional programs and use them to build functions that perform and compose well, layer by layer, across processes. Test your code at the right place using the right techniques. Layer your code into pieces that are easy to understand and heal themselves when errors strike. Of all Elixir's boons, the most important one is that it guides us to design our programs in a way to most benefit from the architecture that they run on. The experts do it and now you can learn to design programs that do the same. What You Need: Elixir Version 1.7 or greater.

Systems development is the process of creating and maintaining information systems, including hardware, software, data, procedures and people. It combines technical expertise with business knowledge and management skill. This practical book provides a comprehensive introduction to the topic and can also be used as a handy reference guide. It discusses key elements of systems development and is the only textbook that supports the BCS Certificate in Systems Development.

Despite its importance, the role of HdS is most often underestimated and the topic is not well represented in literature and education. To address this, Hardware-dependent Software brings together experts from different HdS areas. By providing a comprehensive overview of general HdS principles, tools, and applications, this book provides adequate insight into the current technology and upcoming developments in the domain of HdS. The reader will find an interesting text book with self-contained introductions to the principles of Real-Time Operating Systems (RTOS), the emerging BIOS successor UEFI, and the Hardware Abstraction Layer (HAL). Other chapters cover industrial applications, verification, and tool environments. Tool introductions cover the application of tools in the ASIP software tool chain (i.e. Tensilica) and the generation of drivers and OS components from C-based languages. Applications focus on telecommunication and automotive systems.

Until now, there has been a lack of a complete knowledge base to fully comprehend Low power (LP) design and power aware (PA) verification techniques and methodologies and deploy them all together in a real design verification and implementation project. This book is a first approach to establishing a comprehensive PA knowledge base. LP design, PA verification, and Unified Power Format (UPF) or IEEE-1801 power format standards are no longer special features. These technologies and methodologies are now part of industry-standard design, verification, and implementation flows (DVIF). Almost every chip design today incorporates some kind of low power technique either through power management on chip, by dividing the design into different voltage areas and controlling the voltages, through PA dynamic and PA static verification, or their combination. The entire LP design and PA verification process involves thousands of techniques, tools, and methodologies, employed from the r egister transfer level (RTL) of design abstraction down to the synthesis or place-and-route levels of physical design. These techniques, tools, and methodologies are evolving everyday through the progression of design-verification complexity and more intelligent ways of handling that complexity by engineers, researchers, and corporate engineering policy makers.

A crucial step during the design and engineering of communication systems is the estimation of their performance and behavior; especially for mathematically complex or highly dynamic systems network simulation is particularly useful. This book focuses on tools, modeling principles and state-of-the art models for discrete-event based network simulations, the standard method applied today in academia and industry for performance evaluation of new network designs and architectures. The focus of the tools part is on two distinct simulations engines: OmNet++ and ns-3, while it also deals with issues like parallelization, software integration and hardware simulations. The parts dealing with modeling and models for network simulations are split into a wireless section and a section dealing with higher layers. The wireless section covers all essential modeling principles for dealing with physical layer, link layer and wireless channel behavior. In addition, detailed models for prominent wireless systems like IEEE 802.11 and IEEE 802.16 are presented. In the part on higher layers, classical modeling approaches for the network layer, the transport layer and the application layer are presented in addition to modeling approaches for peer-to-peer networks and topologies of networks. The modeling parts are accompanied with catalogues of model implementations for a large set of different simulation engines. The book is aimed at master students and PhD students of computer science and electrical engineering as well as at researchers and practitioners from academia and industry that are dealing with network simulation at any layer of the protocol stack.

The Art of Computer Systems Performance Analysis "At last, a welcome and needed text for computer professionals who require practical, ready-to-apply techniques for performance analysis. Highly recommended!" —Dr. Leonard Kleinrock University of California, Los Angeles "An entirely refreshing text which has just the right mixture of theory and real world practice. The book is ideal for both classroom instruction and self-study." —Dr. Raymond L. Pickholtz President, IEEE Communications Society "An extraordinarily comprehensive treatment of both theoretical and practical issues." —Dr. Jeffrey P. Buzen Internationally recognized performance analysis expert "… it is the most thorough book available to date" —Dr. Erol Gelenbe Université René Descartes, Paris "… an extraordinary book.… A worthy addition to the bookshelf of any practicing computer or communications engineer" —Dr. Vinton G. Cer??? Chairman, ACM SIGCOMM "This is an unusual object, a textbook that one wants to sit down and peruse. The prose is clear and fluent, but more important, it is witty." —Allison Mankin The Mitre Washington Networking Center Newsletter

Enterprise developers face several challenges when it comes to building serverless applications, such as integrating applications and building container images from source. With more than 60 practical recipes, this cookbook helps you solve these issues with Knative--the first serverless platform natively designed for Kubernetes. Each recipe contains detailed examples and exercises, along with a discussion of how and why it works. If you have a good understanding of serverless computing and Kubernetes core resources such as deployment, services, routes, and replicas, the recipes in this cookbook show you how to apply Knative in real enterprise application development. Authors Kamesh Sampath and Burr Sutter include chapters on autoscaling, build and eventing, observability, Knative on OpenShift, and more. With this cookbook, you'll learn how to: Efficiently build, deploy, and manage modern serverless workloads Apply Knative in real enterprise scenarios, including advanced eventing Monitor your Knative serverless applications effectively Integrate Knative with CI/CD principles, such as using pipelines for faster, more successful production deployments Deploy a rich ecosystem of enterprise integration patterns and connectors in Apache Camel K as Kubernetes and Knative components

This book explains in detail how to define requirements modelling languages - formal languages used to solve requirement-related problems in requirements engineering. It moves from simple languages to more complicated ones and uses these languages to illustrate a discussion of major topics in requirements modelling language design. The book positions requirements problem solving within the framework of broader research on ill-structured problem solving in artificial intelligence and engineering in general. Further, it introduces the reader to many complicated issues in requirements modelling language design, starting from trivial questions and the definition of corresponding simple languages used to answer them, and progressing to increasingly complex issues and languages. In this way the reader is led step by step (and with the help of illustrations) to learn about the many challenges involved in designing modelling languages for requirements engineering. The book offers the first comprehensive treatment of a major challenge in requirements engineering and business analysis, namely, how to design and define requirements modelling languages. It is intended for researchers and graduate students interested in advanced topics of requirements engineering and formal language design.

This volume chronicles the 16th Annual Conference on System Engineering Research (CSER) held on May 8-9, 2018 at the University of Virginia, Charlottesville, Virginia, USA. The CSER offers researchers in academia, industry, and government a common forum to present, discuss, and influence systems engineering research. It provides access to forward-looking research from across the globe, by renowned academicians as well as perspectives from senior industry and government representatives. Co-founded by the University of Southern California and Stevens Institute of Technology in 2003, CSER has become the preeminent event for researchers in systems engineering across the globe. Topics include though are not limited to the following: Systems in context: * Formative methods: requirements * Integration, deployment, assurance * Human Factors * Safety and Security Decisions/ Control & Design; Systems Modeling: * Optimization, Multiple Objectives, Synthesis * Risk and resiliency * Collaborative autonomy * Coordination and distributed decision-making Prediction: * Prescriptive modeling; state estimation * Stochastic approximation, stochastic optimization and control Integrative Data engineering: * Sensor Management * Design of Experiments

Conventional build-then-test practices are making today's embedded, software-reliant systems unaffordable to build. In response, more than thirty leading industrial organizations have joined SAE (formerly, the Society of Automotive Engineers) to define the SAE Architecture Analysis & Design Language (AADL) AS-5506 Standard, a rigorous and extensible foundation for model-based engineering analysis practices that encompass software system design, integration, and assurance. Using AADL, you can conduct lightweight and rigorous analyses of critical real-time factors such as performance, dependability, security, and data integrity. You can integrate additional established and custom analysis/specification techniques into your engineering environment, developing a fully unified architecture model that makes it easier to build reliable systems that meet customer expectations. Model-Based Engineering with AADL is the first guide to using this new international standard to optimize your development processes. Coauthored by Peter H. Feiler, the standard's author and technical lead, this introductory reference and tutorial is ideal for self-directed learning or classroom instruction, and is an excellent reference for practitioners, including architects, developers, integrators, validators, certifiers, first-level technical leaders, and project managers. Packed with real-world examples, it introduces all aspects of the AADL notation as part of an architecture-centric, model-based engineering approach to discovering embedded software systems problems earlier, when they cost less to solve. Throughout, the authors compare AADL to other modeling notations and approaches, while presenting the language via a complete case study: the development and analysis of a realistic example system through repeated refinement and analysis. Part One introduces both the AADL language and core Model-Based Engineering (MBE) practices, explaining basic software systems modeling and analysis in the context of an example system, and offering practical guidelines for effectively applying AADL. Part Two describes the characteristics of each AADL element, including their representations, applicability, and constraints. The Appendix includes comprehensive listings of AADL language elements, properties incorporated in the AADL standard, and a description of the book's example system.