Dinesh Verma – författare

Gets professionals quickly on-line with all the crucial designconcepts and skills they need to dramatically improve themaintainability of their products or systems Maintainability is a practical, step-by-step guide to implementinga comprehensive maintainability program within your organization'sdesign and development function. From program scheduling,organizational interfacing, cost estimating, and supplieractivities, to maintainability prediction, task analysis, formaldesign review, and maintainability tests and demonstrations, itdescribes all the planning and organizational aspects ofmaintainability for projects under development and* Schools readers in state-of-the-art maintainability designtechniques* Demonstrates methods for quantitatively measuring maintainabilityat every stage of the development process* Shows how to increase effectiveness while reducing life-cyclecosts of already existing systems or products* Features numerous case studies, sample applications, and practiceexercises* Functions equally well as a professional reference and aclassroom text Independent cost analysis studies indicate that an inordinatelylarge percentage of the overall life-cycle cost of mostsystems/products is currently taken up by maintenance and support.In fact, for many large-scale systems, maintenance and support havebeen shown to account for as much as 60% to 75% of overalllife-cycle costs. At a time of fierce global competition, long-termcost effectiveness is a major competitive advantage thatmanufacturers simply cannot afford to underestimate. Clearly then,to remain competitive in today's international marketplace,companies must institute programs for reducing system maintenanceand support costs-- comprehensive programs that are an integralpart of the design and development process from its earliestconceptual stages. This book shows you how to implement such a program within yourorganization's design and development function. From programscheduling, organizational interfacing, cost estimating, andsupplier activities, to maintainability prediction, task analysis,formal design review, and maintainability tests and demonstrations,it describes all the planning and organizational aspects ofmaintainability for projects under development while schooling youin the use of the full range of proven design techniques--includingmethods for quantitatively measuring maintainability at every stageof the development process. The authors also clearly explain howthe principles and practices outlined in Maintainability can beapplied to the evaluation of systems/products now in use both toincrease their effectiveness and reduce long-term costs. While theoretical aspects of maintainability are discussed, theauthors' main purpose in writing this book is to help getprofessionals quickly on-line with the essential maintainabilityconcepts and skills. Hence, in addition to clarity of presentationand a rational hierarchical format, Maintainability features manycase studies and sample applications that help to clarify thepoints covered, and numerous practice exercises that help engineersto test their mastery of the concepts and techniques covered. Maintainability is an invaluable professional tool for engineersfrom all disciplines who are involved with the design, testing,prototyping, manufacturing, and maintenance of products andsystems. It also serves as a superior course book forgraduate-level programs in those disciplines.

Discusses the challenges of bandwidth scarcity due to mobile data explosion and their solutions The rapidly growing popularity of Smartphones and other mobile devices has resulted in an exponential growth of mobile data. There is insufficient radio spectrum to cope with this growing data demand, and upgrading existing networks to meet the demands of mobile data explosion is expensive. Techniques for Surviving the Mobile Data Explosion is about the different approaches that can be used to address the challenges of limited bandwidth. It examines these challenges from the perspective of the mobile network operators, mobile applications developers, and enterprises that deploy mobile applications for their employees. The book provides: Comprehensive yet easy-to-understand information that is free of technical jargon, complex mathematical notation, and multiple acronymsEasy-to-understand figures as well as a comprehensive set of referencesA cross-disciplinary approach spanning the areas of cellular networks, IP networks, and mobile applicationsTechniques for Surviving the Mobile Data Explosion is ideal for wireless application developers and mobile network operators.

Systems Engineering for the Digital Age Comprehensive resource presenting methods, processes, and tools relating to the digital and model-based transformation from both technical and management views Systems Engineering for the Digital Age: Practitioner Perspectives covers methods and tools that are made possible by the latest developments in computational modeling, descriptive modeling languages, semantic web technologies, and describes how they can be integrated into existing systems engineering practice, how best to manage their use, and how to help train and educate systems engineers of today and the future. This book explains how digital models can be leveraged for enhancing engineering trades, systems risk and maturity, and the design of safe, secure, and resilient systems, providing an update on the methods, processes, and tools to synthesize, analyze, and make decisions in management, mission engineering, and system of systems. Composed of nine chapters, the book covers digital and model-based methods, digital engineering, agile systems engineering, improving system risk, and more, representing the latest insights from research in topics related to systems engineering for complicated and complex systems and system-of-systems. Based on validated research conducted via the Systems Engineering Research Center (SERC), this book provides the reader a set of pragmatic concepts, methods, models, methodologies, and tools to aid the development of digital engineering capability within their organization. Systems Engineering for the Digital Age: Practitioner Perspectives includes information on: Fundamentals of digital engineering, graphical concept of operations, and mission and systems engineering methodsTransforming systems engineering through integrating M&S and digital thread, and interactive model centric systems engineeringThe OODA loop of value creation, digital engineering measures, and model and data verification and validationDigital engineering testbed, transformation, and implications on decision making processes, and architecting tradespace analysis in a digital engineering environmentExpedited systems engineering for rapid capability and learning, and agile systems engineering frameworkBased on results and insights from a research center and providing highly comprehensive coverage of the subject, Systems Engineering for the Digital Age: Practitioner Perspectives is written specifically for practicing engineers, program managers, and enterprise leadership, along with graduate students in related programs of study.

Biologically Inspired Networking and Sensing: Algorithms and Architectures offers current perspectives and trends in biologically inspired networking, exploring various approaches aimed at improving network paradigms. Research contained within this compendium of research papers and surveys introduces researches in the fields of communication networks, performance modeling, and distributed computing to new advances in networking.

Advances in artificial intelligence, sensor computing, robotics, and mobile systems are making autonomous systems a reality. At the same time, the influence of edge computing is leading to more distributed architectures incorporating more autonomous elements. The flow of information is critical in such environments, but the real time, distributed nature of the system components complicates the data protection mechanisms. Policy-based management has proven useful in simplifying the complexity of management in domains like networking, security, and storage; it is expected that many of those benefits would carry over to the task of managing big data and autonomous systems.This book aims at providing an overview of recent work and identifying challenges related to the design of policy-based approaches for managing big data and autonomous systems. An important new direction explored in the book is to make the major elements of the system self-describing and self-managing. This would lead to architectures where policy mechanisms are tightly coupled with the system elements. In such integrated architectures, we need new models for information assurance, traceability of information, and better provenance on information flows. In addition when dealing with devices with actuation capabilities and, thus, being able to make changes to physical spaces, safety is critical. With an emphasis on policy-based mechanisms for governance of data security and privacy, and for safety assurance, the papers in this volume follow three broad themes: foundational principles and use-cases for the autonomous generation of policies; safe autonomy; policies and autonomy in federated environments.

The 20th International Conference on Systems Engineering Research (CSER 2023) pushes the boundaries of systems engineering research and responds to new challenges for systems engineering.

The 20th International Conference on Systems Engineering Research (CSER 2023) pushes the boundaries of systems engineering research and responds to new challenges for systems engineering.

This International Conference on Systems Engineering Research, CSER 2025, showcases how Augmented Intelligence is beginning to play an increasingly important role in both systems engineering and engineered systems. The volume presents the latest research in augmented intelligence and its role in accelerating systems engineering processes and enhancing the performance of human-machine systems. It contains a compendium of articles that systems engineering and AI professionals will find invaluable in understanding how AI in the role of augmenting human intelligence can dramatically enhance the performance of human-AI teams. Researchers, educators, practicing engineers, and engineering students will find this book informative and timely given recent advances in generative AI and systems engineering.