This book describes the use of free air cooling to improve the efficiency of, and cooling of, equipment for use in telecom infrastructures. Discussed at length is the cooling of communication installation rooms such as data centers or base stations, and this is intended as a valuable tool for the people designing and manufacturing key parts of communication networks. This book provides an introduction to current cooling methods used for energy reduction, and also compares present cooling methods in use in the field. The qualification methods and standard reliability assessments are reviewed, and their inability to assess the risks of free air cooling is discussed. The method of identifying the risks associated with free air cooling on equipment performance and reliability is introduced. A novel method of assessment for free air cooling is also proposed that utilizes prognostics and health management (PHM). This book also: Describes how the implementation of free air cooling can save energy for cooling within the telecommunications infrastructure. Analyzes the potential risks and failures of mechanisms possible in the implementation of free air cooling, which benefits manufacturers and equipment designers. Presents prognostics-based assessments to identify and mitigate the risks of telecommunications equipment under free air cooling conditions, which can provide the early warning of equipment failures at operation stage without disturbing the data centers' service. Optimum Cooling for Data Centers is an ideal book for researchers and engineers interested in designing and manufacturing equipment for use in telecom infrastructures.

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

The Internet has changed significantly from its beginnings as a simple network used to pass data from one computer to another. Containing essential tools for everyday information processing, the Internet is used by small and large organizations alike and continues to evolve with the changing information technology landscape. Technologies and Protocols for the Future of Internet Design: Reinventing the Web aims to provide relevant methods and theories in the area of the Internet design. It is written for the research community and professionals who wish to improve their understanding of future Internet technologies and gain knowledge of new tools and techniques in future Internet design.

Over the last 50 years, the theory and the methods of reliability analysis have developed significantly. Therefore, it is very important to the reliability specialist to be informed of each reliability measure. This book will provide historical developments, current advancements, applications, numerous examples, and many case studies to bring the reader up-to-date with the advancements in this area. It covers reliability engineering in different branches, includes applications to reliability engineering practice, provides numerous examples to illustrate the theoretical results, and offers case studies along with real-world examples. This book is useful to engineering students, research scientist, and practitioners working in the field of reliability.

Talks about securing healthcare data using Blockchain and Cryptography Discusses challenges and solutions for Blockchain technology in the healthcare sector Presents digital transformation of the healthcare sector using different technologies Covers the handling of healthcare data/medical records using Blockchain technology Explores managing the medical supply chain using Blockchain technology

In a comprehensive approach this book covers the end-to-end process from request management to change management, error management and migration management to acceptance testing and final data clean up. It is based upon nearly twenty years of experience in tests, acceptance and certification, when introducing medium to large IT systems including complex software for administrations and industry in many countries. There exist a variety of methodologies with different characteristics having emanated from various schools and consultancies to support such activities. However, it is obvious that because of the diversity in organisational levels in companies the rigor of application of such methodologies quite often suffers with regard to more pragmatic approaches. In view of economic considerations this may be unavoidable. For this reason no new or consolidated methodology shall be presented but an approach oriented on practical criteria coming closer to reality and offering methods, which can provide assistance on a case-by-case basis.

The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks. This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations.

Project risk management is regarded as a necessary dimension of effective project delivery. Current practices tend to focus on tangible issues such as late delivery of equipment or the implications of technology. This book introduces a framework to identify emergent behavior-centric intangible risks and the conditions that initiate them. Decision Making in Risk Management: Quantifying Intangible Risk Factors in Projects identifies the quantitative measures to assess behavior-induced risks by presenting a framework that limits the interpersonal tension of addressing behavioral risks. Included in the book is an illustrative case study from the oil and gas sector that demonstrates the use of the framework. The missing dimension of behavior-centric intangible risk factors in current risk identification is explored. The book goes on to cover management processes, providing a systematic analytical approach to mitigate subjectivity when addressing behavioral risks in projects. This book is useful to those working in the fields of Project Management, Systems Engineering, Risk Management, and Behavioral Science.

Project risk management is regarded as a necessary dimension of effective project delivery. Current practices tend to focus on tangible issues such as late delivery of equipment or the implications of technology. This book introduces a framework to identify emergent behavior-centric intangible risks and the conditions that initiate them. Decision Making in Risk Management: Quantifying Intangible Risk Factors in Projects identifies the quantitative measures to assess behavior-induced risks by presenting a framework that limits the interpersonal tension of addressing behavioral risks. Included in the book is an illustrative case study from the oil and gas sector that demonstrates the use of the framework. The missing dimension of behavior-centric intangible risk factors in current risk identification is explored. The book goes on to cover management processes, providing a systematic analytical approach to mitigate subjectivity when addressing behavioral risks in projects. This book is useful to those working in the fields of Project Management, Systems Engineering, Risk Management, and Behavioral Science.

Problem-solving and better thinking skills are among the top skills that employers are looking for. This book presents various methods of problem-solving that can be adapted to any field. It focuses on a set of a dozen new approaches with an ending result to finding better solutions to problems that you may have previously found difficult. The book discusses problem-solving based upon new thinking skills and presents the relationship between problem-solving and creativity. A connection between problem-solving and re-engineering is presented as the book explores the ability to tackle new and difficult problems in all aspects of life. It points you in the direction of how to easily find better solutions to problems that previously were found to be difficult. Target audience is general engineers, systems engineers, scientists, technologists, mathematicians, and lawyers.

Using standards like OpenAPI, you can provide reliable, easy-to-use interfaces that allow other developers safe, controlled access to your software. Designing APIs withSwagger and OpenAPI is a hands-on primer to properly designing and describing your APIs using the most widely-adopted standard. Designing APIswith Swagger and OpenAPI introduces you to a design-first paradigm that will teach you the best practices for describing and designing RESTful APIs using OpenAPI and Swagger. You'll build upon progressively-enhanced examples as you learn to describe an API andthen extend it in the kind of scenarios you'd encounter in the real world. As you go, you'll use the popular Open Source tools to define APIs, generate documentation, and build other developer-friendly components like mocks, server stubs, and client SDKs. Modern web applications are made of multiple components, services, and servers connected through APIs, often using HTTP and REST as their primary interfaces. These architectures rely on APIs that allow access to the functionality of a component without requiring developers to understand the details of how it was implemented. The OpenAPI specification standardizes how you describe RESTful APIs. OpenAPI is vendor-neutral and has been adopted bybig tech companies such as Google, Microsoft, and Amazon.

Emphasises a hands-on approach to modelling Strong emphasis on coding and software tools for systems biology Covers the entire spectrum of modelling, from static networks, to dynamic models Thoughtful exercises to test and enable student understanding of concepts Current chapters on exciting new developments like whole-cell modelling and community modelling

This book presents a concise introduction to the latest advances in robust cooperative control design for multi-agent systems with input delay and external disturbances, especially from a prediction and observation perspective. The volume covers a wide range of applications, such as the trajectory tracking of quadrotors, formation flying of multiple unmanned aerial vehicles (UAVs) and fixed-time formation of ground vehicles. Robust cooperative control means that multi-agent systems are able to achieve specified control tasks while remaining robust in the face of both parametric and nonparametric model uncertainties. In addition, the authors cover a wide range of key issues in cooperative control, such as communication and input delays, parametric model uncertainties and external disturbances. Moving beyond the scope of existing works, a systematic prediction and observation approach to designing robust cooperative control laws is presented. About the Authors Chunyan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China. Zongyu Zuo is a full Professor with the School of Automation Science and Electrical Engineering, Beihang University, China. Jianan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China. Zhengtao Ding is a Professor in the Department of Electrical and Electronic Engineering at University of Manchester, U.K.

This book is a study guide for Huawei (HCNA) certification. It has been written to help readers understand the principles of network technologies. It covers topics including network fundamentals, Ethernet, various protocols such as those used in routing, and Huawei's own VRP operating system-all essential aspects of HCNA certification. Presenting routing and switching basics in depth, it is a valuable resource for information and communications technology (ICT) practitioners, university students and network technology fans.

This book promotes an understanding of the purposeful muddling that health care workers rely on to be better able to function and operate in the multitude of complex ecosystems we call "health care." The book argues the case for the importance of recognising and understanding muddling behaviours, practices and activities in order to create resilient care. The book demonstrates how resilient health care principles can enable managers as well as those on the frontlines to work more effectively towards interdisciplinary care by gaining a deeper understanding of real-world practices that manifest in everyday clinical settings. This is done by presenting a set of case studies, theoretical chapters and applications that relate experiences, bring forth ideas and illustrate practical solutions. Primarily aimed at people who are directly involved in the running and improvement of health care systems, it provides practical guidance. It is also of direct interest to health care professionals in clinical and managerial positions as well as researchers. Jeffrey Braithwaite is Founding Director of the Australian Institute of Health Innovation, Professor of Health Systems Research and Director of the Centre for Healthcare Resilience and Implementation Science, Macquarie University (Australia). His research examines the changing nature of complex health systems and he has received over 50 different national and international awards for his teaching and research. Erik Hollnagel is Senior Professor of Patient Safety at Joenkoeping University (Sweden). He is a highly regarded international expert with significant contributions to a variety of fields ranging from nuclear power generation, aerospace and aviation to industry, transportation and, most notably, health care. Garthe Hunte is a Clinical Professor and Emergency Physician holding multiple academic and clinical leadership appointments across Canada. His research programme centres around how safety is created in complex socio-technical systems, and in the application of resilience engineering in health care.

Engineering Effective Decision Support Technologies: New Models and Applications presents a collection of the latest research in DMSS and applies those theoretical considerations to best practices in the field. This reference includes empirical case studies and an analysis of new models and perspectives in knowledge management, promoting discussion of DMSS strategies among managers, researchers, and students of information science.

This updated edition offers an indispensable exposition on real-time computing, with particular emphasis on predictable scheduling algorithms. It introduces the fundamental concepts of real-time computing, demonstrates the most significant results in the field, and provides the essential methodologies for designing predictable computing systems used to support time-critical control applications. Along with an in-depth guide to the available approaches for the implementation and analysis of real-time applications, this revised edition contains a close examination of recent developments in real-time systems, including limited preemptive scheduling, resource reservation techniques, overload handling algorithms, and adaptive scheduling techniques. This volume serves as a fundamental advanced-level textbook. Each chapter provides basic concepts, which are followed by algorithms, illustrated with concrete examples, figures and tables. Exercises and solutions are provided to enhance self-study, making this an excellent reference for those interested in real-time computing for designing and/or developing predictable control applications.

Sustainability is one of the most embraced topics nowadays. Everybody is affected by issues of sustainability. Every organization needs to pay attention to these issues. As long as more people and more organizations are engaging in business and industry activities, there will always be a need for sustainability. This book presents tools such as lean six sigma to help sustain results by using process focused decisions. This book covers tools and techniques of industrial engineering to promote sustainability. It discusses a systems approach, the evolution of new products, development of sustainability alliances, and highlights the role of sustainability in advancing organizational goals. The book also addresses sustainability as a coordinated project using a project management approach. It includes the interface of humans and technology and presents an integration of analytics. The book is ideal for all engineering, business, and management fields.

This book applies systems thinking to treat project management in a systemic and systematic manner from a problem-solving perspective. Considering the project as a system, the book discusses traditional project planning and organizing, as well as some neglected aspects of the project, namely how to prevent cost and schedule escalation, how to deal with change, recognize problems in time to prevent project failure and what to do when things go wrong during the implementation states of a project. This book provides you with a better understanding of the systems approach to problem-solving and project management that will enable you to be more successful at managing projects. Features Treats projects as systems Presents project management as a problem-solving paradigm Discusses how to incorporate prevention into planning and how to show the value Describes what to do and how to cope with unanticipated problems that arise during the project implementation state Introduces new tools and techniques

Engineering systems are an important element of world economy. Each year billions of dollars are spent to develop, manufacture, operate, and maintain various types of engineering systems about the globe. The reliability and usability of these systems have become important because of their increasing complexity, sophistication, and non-specialist users. Global competition and other factors are forcing manufacturers to produce highly reliable and usable engineering systems. Along with examples and solutions, this book integrates engineering systems reliability and usability into a single volume for those individuals that directly or indirectly are concerned with these areas.

This book presents a comprehensive compilation of practical systems engineering models. The application and recognition of systems engineering is spreading rapidly, however there is no book that addresses the availability and usability of systems engineering models. Notable among the models to be included are the V-Model, DEJI Model, and Waterfall Model. There are other models developed for specific organizational needs, which will be identified and presented in a practical template so that other organizations can learn and use them. A better understanding of the models, through a comprehensive book, will make these models more visible, embraced, and applied across the spectrum. Visit www.DEJImodel.com for model details. Features Covers applications to both small and large problems Displays decomposition of complex problems into smaller manageable chunks Discusses direct considerations of the pertinent constraints that exist in the problem domain Presents systematic linking of inputs to goals and outputs

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations. Features Explains the concept of optimization and relevance to soft computing techniques towards optimal solution in engineering and management Presents various soft computing techniques Offers problems and their optimization using various soft computing techniques Discusses related software programs, with illustrations Provides a step-by-step tutorial on how to handle relevant software for obtaining the optimal solution to various engineering problems

Visual Perception and Control of Underwater Robots covers theories and applications from aquatic visual perception and underwater robotics. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed. More specifically, the book includes adversarial critic learning for visual restoration, NSGA-II-based calibration for binocular measurement, prior knowledge refinement for object detection, analysis of temporal detection performance, as well as the effect of the aquatic data domain on object detection. With the aid of visual perception technologies, two up-to-date underwater robot systems are demonstrated. The first system focuses on underwater robotic operation for the task of object collection in the sea. The second is an untethered biomimetic robotic fish with a camera stabilizer, its control methods based on visual tracking. The authors provide a self-contained and comprehensive guide to understand underwater visual perception and control. Bridging the gap between theory and practice in underwater vision, the book features implementable algorithms, numerical examples, and tests, where codes are publicly available. Additionally, the mainstream technologies covered in the book include deep learning, adversarial learning, evolutionary computation, robust control, and underwater bionics. Researchers, senior undergraduate and graduate students, and engineers dealing with underwater visual perception and control will benefit from this work.