With the diversification of Internet services and the increase in mobile users, efficient management of network resources has become an extremely important issue in the field of wireless communication networks (WCNs). Adaptive resource management is an effective tool for improving the economic efficiency of WCN systems as well as network design and construction, especially in view of the surge in mobile device demands. This book presents modelling methods based on queueing theory and Markov processes for a wide variety of WCN systems, as well as precise and approximate analytical solution methods for the numerical evaluation of the system performance. This is the first book to provide an overview of the numerical analyses that can be gleaned by applying queueing theory, traffic theory and other analytical methods to various WCN systems. It also discusses the recent advances in the resource management of WCNs, such as broadband wireless access networks, cognitive radio networks, and green cloud computing. It assumes a basic understanding of computer networks and queueing theory, and familiarity with stochastic processes is also recommended. The analysis methods presented in this book are useful for first-year-graduate or senior computer science and communication engineering students. Providing information on network design and management, performance evaluation, queueing theory, game theory, intelligent optimization, and operations research for researchers and engineers, the book is also a valuable reference resource for students, analysts, managers and anyone in the industry interested in WCN system modelling, performance analysis and numerical evaluation.

In the past few decades Computer Hardware Description Languages (CHDLs) have been a rapidly expanding subject area due to a number of factors, including the advancing complexity of digital electronics, the increasing prevalence of generic and programmable components of software-hardware and the migration of VLSI design to high level synthesis based on HDLs. Currently the subject has reached the consolidation phase in which languages and standards are being increasingly used, at the same time as the scope is being broadened to additional application areas. This book presents the latest developments in this area and provides a forum from which readers can learn from the past and look forward to what the future holds.

Focusses on model based systems engineering and describes the architecture of the systems design models Uses real-world examples to corroborate different and disparate systems engineering activities Describes and applies the Vee systems engineering design methodology, with cohesive examples and application of designing systems Discusses culture change and the skills people need to design and integrate systems Shows detailed and cohesive examples of the systems engineering tools throughout the systems engineering lifecycle

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical.

This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues.

Proposes an integrative approach combining Human Factors Expertise with Automotive Engineering Develops an in-depth case study of design a fuel-efficient driving intervention Offers an examination of an innovative study of feed-forward eco-driving advice based on current vehicle and road environment status Presents lessons and insights gained from the current work and can be applied across domains Utilizes a documented scientific and research lead approach to designing novel speed advisory and fuel use minimisation systems suitable for combustion vehicles, hybrids, and electric vehicles

This book presents a guide to navigating the complicated issues of quality and process improvement in enterprise software implementation, and the effect these have on the software development life cycle (SDLC). Offering an integrated approach that includes important management and decision practices, the text explains how to create successful automated solutions that fit user and customer needs, by mixing different SDLC methodologies. With an emphasis on the realities of practice, the book offers essential advice on defining business requirements, and managing change. This revised and expanded second edition includes new content on such areas as cybersecurity, big data, and digital transformation. Features: presents examples, case studies, and chapter-ending problems and exercises; concentrates on the skills needed to distinguish successful software implementations; considers the political and cultural realities in organizations; suggests many alternatives for how to manage and model a system.

Focuses on new machine learning developments that can lead to newly developed applications Uses a predictive and futuristic approach which makes Machine Learning a promising tool for business processes and sustainable solutions Promotes newer algorithms which are more efficient and reliable for a new dimension in discovering certain latent domains of applications Discusses the huge potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making Offers many real-time case studies

Includes specific pedagogy used in engineering teaching Offers case studies and classroom practices used by engineering institutions Discusses innovative strategies used in lockdown days during COVID-19 pandemic Presents guidelines and comparisons on various national and international accreditation bodies Explores cost effective technologies and open source tools specifically used for low income educational institutions

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers

Complex high-technology devices are in growing use in industry, service sectors, and everyday life. Their reliability and maintenance is of utmost importance in view of their cost and critical functions. This book focuses on this theme and is intended to serve as a graduate-level textbook and reference book for scientists and academics in the field. The chapters are grouped into five complementary parts that cover the most important aspects of reliability and maintenance: stochastic models of reliability and maintenance, decision models involving optimal replacement and repair, stochastic methods in software engineering, computational methods and simulation, and maintenance management systems. This wide range of topics provides the reader with a complete picture in a self-contained volume.

Component-Based Software Engineering (CBSE) is becoming one of the great concerns of researchers and practitioners within the academic areas of computer science and the software industry. After the focus on object-oriented programming, design and modelling during the 90's, reuse and reusability of software entities is nowadays slowed down by new factors. The size of components, their deployment capability, their compatibility and interoperability features in order to be incorporated into heterogeneous cooperative environments, their faults tolerance, and above all, their ability to fulfill performance conditions, are critical expectations of software engineers.
Despite the maturity of the component market and some available results coming from academic research, software engineering and as a result CBSE, remain somehow, a backward discipline, since no modern technique of component composition has been recognized as satisfactory. Business Component-Based Software Engineering, an edited volume, aims to complement some other reputable books on CBSE, by stressing how components are built for large-scale applications, within dedicated development processes and for easy and direct combination. This book will emphasize these three facets and will offer a complete overview of some recent progresses. Projects and works explained herein will prompt graduate students, academics, software engineers, project managers and developers to adopt and to apply new component development methods gained from and validated by the authors. The authors of Business Component-Based Software Engineering are academic and professionals, experts in the field, who will introduce the state of the art on CBSE fromtheir shared experience by working on the same projects.
Business Component-Based Software Engineering is designed to meet the needs of practitioners and researchers in industry, and graduate-level students in Computer Science and Engineering.

Dependence Analysis may be considered to be the second edition of the author's 1988 book, Dependence Analysis for Supercomputing. It is, however, a completely new work that subsumes the material of the 1988 publication. This book is the third volume in the series Loop Transformations for Restructuring Compilers. This series has been designed to provide a complete mathematical theory of transformations that can be used to automatically change a sequential program containing FORTRAN-like do loops into an equivalent parallel form. In Dependence Analysis, the author extends the model to a program consisting of do loops and assignment statements, where the loops need not be sequentially nested and are allowed to have arbitrary strides. In the context of such a program, the author studies, in detail, dependence between statements of the program caused by program variables that are elements of arrays. Dependence Analysis is directed toward graduate and undergraduate students, and professional writers of restructuring compilers. The prerequisite for the book consists of some knowledge of programming languages, and familiarity with calculus and graph theory. No knowledge of linear programming is required.

This open access book summarizes the research done and results obtained in the second funding phase of the Priority Program 1648 "Software for Exascale Computing" (SPPEXA) of the German Research Foundation (DFG) presented at the SPPEXA Symposium in Dresden during October 21-23, 2019. In that respect, it both represents a continuation of Vol. 113 in Springer's series Lecture Notes in Computational Science and Engineering, the corresponding report of SPPEXA's first funding phase, and provides an overview of SPPEXA's contributions towards exascale computing in today's sumpercomputer technology. The individual chapters address one or more of the research directions (1) computational algorithms, (2) system software, (3) application software, (4) data management and exploration, (5) programming, and (6) software tools. The book has an interdisciplinary appeal: scholars from computational sub-fields in computer science, mathematics, physics, or engineering will find it of particular interest.

This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4-5, 2016 in Stuttgart, Germany - a forum to discuss the latest advances in parallel tools. High-performance computing plays an increasingly important role for numerical simulation and modelling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis have emerged from the high-performance computing community over the last decade, and what may have started as collection of small helper script has now matured to production-grade frameworks. Powerful user interfaces and an extensive body of documentation allow easy usage by non-specialists.

This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.

Control systems are an integral aspect of modern society and exist across numerous domains and applications. As technology advances more and more, the complexity of such systems continues to increase exponentially. Model-Based Design for Effective Control System Development is a critical source of scholarly information on model-centric approaches and implementations for control and other similar dynamic systems. Highlighting innovative topics such as configuration management, controllability analysis, and modeling requirements, this book is ideally designed for engineers, researchers, academics, project managers, and professionals interested in the design of embedded control systems.

This book offers an accessible guide to ubiquitous computing, with an emphasis on pervasive networking. It addresses various technical obstacles, such as connectivity, levels of service, performance, reliability and fairness. The focus is on describing currently available off-the-shelf technologies, novel algorithms and techniques in areas such as: underwater sensor networks, ant colony based routing, heterogeneous networks, agent based distributed networks, cognitive radio networks, real-time WSN applications, machine translation, intelligent computing and ontology based bit masking. By introducing the core topics and exploring assistive pervasive systems that draw on pervasive networking, the book provides readers with a robust foundation of knowledge on this growing field of research. Written in a straightforward style, the book is also accessible to a broad audience of researchers and designers who are interested in exploring pervasive computing further.

The rise of the information age and the digital economy has dramatically changed engineering. With tremendous advances in computing and communication systems, causing major organizational upheaval, all fueled by complexity, globalization, short cycle times, and lean supply chains, the functions of engineers have significantly changed. Engineers must be technically savvy and have product management and costing skills all while working in a distributed and often unstable environment. This new edition textbook is updated to cover the integration of cost, risk, value, scheduling, and information technologies going beyond basic engineering economics. Engineering Economics of Life Cycle Cost Analysis, Second Edition offers a systems and life cycle or total ownership cost perspective. It presents advanced costing techniques such as simulation-based costing, decision analysis, complex systems costing, software, big data, and cloud computing estimation. Examples and problems demonstrating these techniques with real-world applications are also included. All engineers will find this book useful, but it is mainly written for systems engineers, engineering management, and industrial engineers along with graduate courses on advanced engineering economic analysis and cost management, and financial analysis for engineers. To assist with classroom teaching, the textbook provides an instructor's manual for qualified course adoption and downloadable Excel solutions.

This book presents both the importance of energy transition and its associated difficulties. Energy Transition, Second Edition, provides an explanation of the physical concepts of energy and power and also reviews global energy consumption and our dependence on energy. The book discusses the links between the economy and energy. It explains the drawbacks and dangers of different energy sources and tries to compare them. By reviewing future energy resources, it evaluates several transition scenarios. The book shows that the laws of physics prevent the emergence of simple, pleasant solutions, but it proposes potential solutions and encourages readers to develop better processes from energy sources to production to consumption. This book will be of interest to engineers and undergraduate and graduate students studying and working in various fields of energy; producers of fossil, gas, oil, coal, electric, renewable, and nuclear energy; and anyone interested in better understanding these fundamental problems for our future. FEATURES Discusses the current issues with energy transition Covers several energy transition scenarios and their associated difficulties Presents the links between economy and energy Highlights the importance of a global discussion of energy Encourages the development of better, improved processes in energy sources from production to consumption

This book examines the interplay between IT solutions and specific management methods in organizations. In particular, it assesses the impact of IT reliability on factors like employees' commitment and organizational performance. After developing the necessary theoretical foundation, the book presents a framework for aligning IT solutions with a number of specific management methods in organizations. In addition, it demonstrates the extent to which IT reliability can be an indicator for this alignment, and discusses the impact on employees' commitment and organizational performance under various management methods. Case studies from organizations in Switzerland and Poland help to illustrate the findings. In closing, the book presents roadmaps for improving IT and business alignment so as to achieve higher commitment and better results.

This volume in the Business Analysis Professional Development Series by leading expert and keynote speaker Jamie Champagne is the second edition of our number #1 best seller. It is an instructional text that will help relatively new analysts, and those expected who do business analysis work in addition to their main role, build their skill sets, master the essentials, and advance their careers. Since the content is aligned with the consensus-based business analysis standards of both the Project Management Institute (PMI) and the International Institute of Business Analysis (IIBA), as articulated in their respective guides and bodies of knowledge, this book continues to be an excellent reference for the PMI-PBA, ECBA, CCBA, and CBAP certification exams. Seven Steps to Mastering Business Analysis, 2nd Edition, presents detailed explanations of business analysis concepts, terms, tasks, and techniques, and includes examples to help readers understand how to apply them to real-world situations. It also delineates the key activities that are core to the BA role and the diverse range of activities analysts perform based on their career competency level, ranging from problem solving and identification of business opportunities, to complex systems thinking and solution development, to strategic planning and change management. Even for those not interested in certification, like its first edition, this guide is a must-have reference for BA generalists, specialists, and hybrids at every career level and industry segment or perspective. Key Features: Helps new and experienced BAs, as well as project managers, system analysts, product managers and many others doing analysis work, master the skill sets essential to successful business analysis Supplies a clear definition of the business analysis role and insights on how to approach analysis work to help deliver successful solutions Brings needed attention to the significant value those performing the BA role are delivering to all areas of organizations today in the form of change efforts and in project-based work focused on elicitation, analysis, validation, problem solving, and solution delivery Articulates numerous techniques and approaches for learning the business you are working in and gaining an understanding of the technology environment regardless of your background Walks readers through the business case process for gaining support and initiating projects and change efforts Details techniques for successful requirements elicitation, analysis, and validation and how to successfully plan your approach to delivering high-quality business analysis deliverables Explains the current frameworks used for change and project-based work and offers suggestions on how to select the best approach/technique from the various analysis work methodologies Discusses why and how organizations approach change efforts through projects and the added value analysts can provide in helping project-based work be successful beyond the scope of the project Shows BAs how to work with stakeholders, approach them and identify what they need, build successful working relationships, and communicate and present deliverables Provides guidance relevant to BAs at every career level on how to plan, measure, and continuously improve your business analysis work and skill sets Examines the ideal traits, professional attributes, and skills of those most likely to be successful in the role to help aspiring BAs determine if it is a good fit for them and those hiring or managing BAs

Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors' open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings.

Includes several emerging required standardization and interoperability initiatives Offers various AI and Machine Learning algorithms Discusses how health technology can face the challenge of improving the quality of life regardless of social and financial consideration, gender, age, and residence Presents real-time applications and case studies in the field of engineering, computer science, IoT, Smart Cities with modern tools and technologies used in healthcare Focuses on many examples of successful IoT projects from various industries