Whole Systems Design: Inquiries in the Knowing Field is an open invitation and an inspiration for Innovators, System Designers, Leaders, Change Agents, and Constellators—anyone who wishes to live and work from a whole systems perspective. It is for people new to working with complex systems as well as for those who will enjoy engaging with its practitioners, its concepts, and its emerging history. It is a book of stories, conversations, and interviews, about finding ways to serve Life, to serve humanity, to serve the Whole, through a process which has been emerging through the author—Constellating for the Collective—a process that itself has emerged from Systemic Constellation Work and the Knowing Field. Whole Systems Design opens with the author’s journey, letting readers behind the curtain of facilitation. She describes the pragmatic steps and tools she has developed with deep dedication over many years. She includes a succinct description of the impact of this work on participants and for the Collective. Lively conversations with colleagues trace the collaboration and co-creation vital in this evolving field. Nine interviews with long-time facilitators and trainers of Constellation Work—who share their insights about Collective Constellation Work—provide a rich resource.

Whole System Design is increasingly being seen as one of the most cost-effective ways to both increase the productivity and reduce the negative environmental impacts of an engineered system. A focus on design is critical, as the output from this stage of the project locks in most of the economic and environmental performance of the designed system throughout its life, which can span from a few years to many decades. Indeed, it is now widely acknowledged that all designers - particularly engineers, architects and industrial designers - need to be able to understand and implement a whole system design approach. This book provides a clear design methodology, based on leading efforts in the field, and is supported by worked examples that demonstrate how advances in energy, materials and water productivity can be achieved through applying an integrated approach to sustainable engineering. Chapters 1-5 outline the approach and explain how it can be implemented to enhance the established Systems Engineering framework. Chapters 6-10 demonstrate, through detailed worked examples, the application of the approach to industrial pumping systems, passenger vehicles, electronics and computer systems, temperature control of buildings, and domestic water systems. Published with The Natural Edge Project, the World Federation of Engineering Organizations, UNESCO and the Australian Government.

The Software System Design and Modeling enables us to view software in terms of a system. When designing a system, we start with the system requirement and then translate the system requirement to a real product. By using the concept presented in this book, we can design and model a system from the system requirement and then produce the UML model of the system before starting coding. Some key topics discussed in this book include multiple views of a system, requirement interpretation, requirement application, requirement duplication, system function and problem solved by system, agile and scrum methodology, fixed system requirement and non-fixed requirement, incremental software development process, and more. Using the tools from the book, you can develop a system with a full lifecycle. As time goes on, the tools from the book make it possible to update parts of the system that need to be updated without any frustration rather than reinventing the wheel.

This book presents a detailed pedagogical description of the 5G commercial wireless communication system design, from an end to end perspective. It compares and contrasts NR with LTE, and gives a concise and highly accessible description of the key technologies in the 5G physical layer, radio access network layer protocols and procedures. This book also illustrates how the 5G core and EPC is integrated into the radio access network, how virtualization and edge computer fundamentally change the way users interact with the network, as well as 5G spectrum issues. This book is structured into six chapters. The first chapter reviews the use cases, requirements, and standardization organization and activities for 5G. These are 5G requirements and not NR specifically, as technology that meets the requirements, may be submitted to the ITU as 5G technology. This includes a set of Radio Access Technologies (RATs), consisting of NR and LTE; with each RAT meeting different aspects of the requirements. The second chapter describes the air interface of NR and LTE side by side. The basic aspects of LTE that NR builds upon are first described, followed by sections on the NR specific technologies, such as carrier/channel, spectrum/duplexing (including SUL), LTE/NR co-existence and new physical layer technologies (including waveform, Polar/LDPC codes, MIMO, and URLLC/mMTC). In all cases the enhancements made relative to LTE are made apparent. The third chapter contains descriptions of NR procedures (IAM/Beam Management/Power control/HARQ), protocols (CP/UP/mobility, including grant-free), and RAN architecture. The fourth chapter includes a detailed discussion related to end-to-end system architecture, and the 5G Core (5GC), network slicing, service continuity, relation to EPC, network virtualization, and edge computing. The fifth and major chapter describes the ITU submission and how NR and LTE meet the 5G requirements in significant detail, from the rapporteur responsible for leading the preparation and evaluation, as well as some field trial results. Engineers, computer scientists and professionals with a passing knowledge of 4G LTE and a comprehensive understanding of the end to end 5G commercial wireless system will find this book to be a valuable asset. Advanced-level students and researchers studying and working in communication engineering, who want to gain an understanding of the 5G system (as well as methodologies to evaluate features and technologies intended to supplement 5G) will also find this book to be a valuable resource.

SMART HEALTHCARE SYSTEM DESIGN This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems. The Internet-of-Things (IoT) has emerged as a powerful and promising technology, and though it has significant technological, social, and economic impacts, it also poses new security and privacy challenges. Compared with the traditional internet, the IoT has various embedded devices, mobile devices, a server, and the cloud, with different capabilities to support multiple services. The pervasiveness of these devices represents a huge attack surface and, since the IoT connects cyberspace to physical space, known as a cyber-physical system, IoT attacks not only have an impact on information systems, but also affect physical infrastructure, the environment, and even human security. The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications, and to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions. The 14 separate chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, implementation issues, as well as several case studies. Smart Healthcare System Design covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus is on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. Audience: Researchers and industry engineers in information technology, artificial intelligence, cyber security, as well as designers of healthcare systems, will find this book very valuable.

The emergence of the system-on-chip (SoC) era is creating many new challenges at all stages of the design process. Engineers are reconsidering how designs are specified, partitioned and verified. With systems and software engineers programming in C/C++ and their hardware counterparts working in hardware description languages such as VHDL and Verilog, problems arise from the use of different design languages, incompatible tools and fragmented tool flows. Momentum is building behind the SystemC language and modeling platform as the best solution for representing functionality, communication, and software and hardware implementations at various levels of abstraction. The reason is clear: increasing design complexity demands very fast executable specifications to validate system concepts, and only C/C++ delivers adequate levels of abstraction, hardware-software integration, and performance. System design today also demands a single common language and modeling foundation in order to make interoperable system--level design tools, services and intellectual property a reality. SystemC is entirely based on C/C++ and the complete source code for the SystemC reference simulator can be freely downloaded from www.systemc.org and executed on both PCs and workstations. System Design and SystemC provides a comprehensive introduction to the powerful modeling capabilities of the SystemC language, and also provides a large and valuable set of system level modeling examples and techniques. Written by experts from Cadence Design Systems, Inc. and Synopsys, Inc. who were deeply involved in the definition and implementation of the SystemC language and reference simulator, this book will provide you with the key concepts you need to be successful with SystemC. System Design with SystemC thoroughly covers the new system level modeling capabilities available in SystemC 2.0 as well as the hardware modeling capabilities available in earlier versions of SystemC. designed and implemented the SystemC language and reference simulator, this book will provide you with the key concepts you need to be successful with SystemC. System Design with SystemC will be of interest to designers in industry working on complex system designs, as well as students and researchers within academia. All of the examples and techniques described within this book can be used with freely available compilers and debuggers – no commercial software is needed. Instructions for obtaining the free source code for the examples obtained within this book are included in the first chapter.

Hugo de Man Professor Katholieke Universiteit Leuven Senior Research Fellow IMEC The steady evolution of hardware, software and communications technology is rapidly transforming the PC- and dot.com world into the world of Ambient Intelligence (AmI). This next wave of information technology is fundam- tally different in that it makes distributed wired and wireless computing and communication disappear to the background and puts users to the foreground. AmI adapts to people instead of the other way around. It will augment our consciousness, monitor our health and security, guide us through traffic etc. In short, its ultimate goal is to improve the quality of our life by a quiet, reliable and secure interaction with our social and material environment. What makes AmI engineering so fascinating is that its design starts from studying person to world interactions that need to be implemented as an int- ligent and autonomous interplay of virtually all necessary networked electronic intelligence on the globe. This is a new and exciting dimension for most elect- cal and software engineers and may attract more creative talent to engineering than pure technology does. Development of the leading technology for AmI will only succeed if the engineering research community is prepared to join forces in order to make Mark Weiser’s dream of 1991 come true. This will not be business as usual by just doubling transistor count or clock speed in a microprocessor or increasing the bandwidth of communication.

The articles presented in this Special Issue cover different aspects of the urban planning process, such as simulation, optimization or decision-making. The authors highlighted the importance of performing an integrated design of the district, considering different sectors, different energy vectors and different operation modes. In order to better integrate renewable and residual energy sources (R²ES), careful design of systems and storage solutions should be performed. Different storage solutions were tested, ranging from large-scale thermal energy storage to vehicle batteries or the thermal mass of buildings. Van der Heijde et al. (2019) proposed a two-layer design optimization algorithm to design a district heating network with solar thermal collectors, seasonal thermal energy storage and excess heat injection. Pajot et al. (2019) also performed an optimization of the sizing and control of energy systems in a district equipped with heat pumps, with thermal energy storage or thermal mass utilization. A hybrid distribution system, coupling the thermal and electrical networks, was proposed by Widl et al. (2019). Arnaudo et al. (2019) used the vehicle-to-grid (V2G) concept to decrease the overloading of the electrical distribution network during heat pump operation. Finally, Kazmi et al. (2019) proposed an integrated decision-making planning approach for a better integration of R²ES in the distribution network. The complexity of urban planning leads to the development of new tools and methodologies. Until now, operation was poorly integrated in the design phase. New urban building energy modeling tools were proposed by the different authors. These tools are either based on co-simulations or integrated solutions to be able to capture the fine dynamics of a district. The difficulty of generating the input data for the models was also discussed. Regarding the methodology, most articles proposed a two-stage optimization procedure to optimize both the operational and design aspects. Mixed-integer linear programming (MILP) and genetic algorithms were often used to find optimal solutions.

Embedded systems now include a very large proportion of the advanced products designed in the world, spanning transport (avionics, space, automotive, trains), electrical and electronic appliances (cameras, toys, televisions, home appliances, audio systems, and cellular phones), process control (energy production and distribution, factory automation and optimization), telecommunications (satellites, mobile phones and telecom networks), and security (e-commerce, smart cards), etc. The extensive and increasing use of embedded systems and their integration in everyday products marks a significant evolution in information science and technology. We expect that within a short timeframe embedded systems will be a part of nearly all equipment designed or manufactured in Europe, the USA, and Asia. There is now a strategic shift in emphasis for embedded systems designers: from simply achieving feasibility, to achieving optimality. Optimal design of embedded systems means targeting a given market segment at the lowest cost and delivery time possible. Optimality implies seamless integration with the physical and electronic environment while respecting real-world constraints such as hard deadlines, reliability, availability, robustness, power consumption, and cost. In our view, optimality can only be achieved through the emergence of embedded systems as a discipline in its own right.