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This is an open access book discusses readers to various methods of modeling plans and policies that address public sector issues and problems. Written for public policy and social sciences students at the upper undergraduate and graduate level, as well as public sector decision-makers, it demonstrates and compares the development and use of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management issues. These modeling tools offer a means of identifying and evaluating alternative plans and policies based on their physical, economic, environmental, and social impacts. Learning how to develop and use the mathematical modeling tools introduced in this book will give students useful skills when in positions of having to make informed public policy recommendations or decisions.

Public administration --- Operational research --- Optimization --- Economic theory & philosophy --- Public systems planning --- Public management --- Operations research --- Models for policy analyses --- Public evaluation --- Policy Analysis --- Public policy analysis --- Linear Optimization Modeling --- Discrete Optimization Modeling --- Lagrangian Models --- Simulation Modeling

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The Industrial Internet of Things (Industrial IoT—IIoT) has emerged as the core construct behind the various cyber-physical systems constituting a principal dimension of the fourth Industrial Revolution. While initially born as the concept behind specific industrial applications of generic IoT technologies, for the optimization of operational efficiency in automation and control, it quickly enabled the achievement of the total convergence of Operational (OT) and Information Technologies (IT). The IIoT has now surpassed the traditional borders of automation and control functions in the process and manufacturing industry, shifting towards a wider domain of functions and industries, embraced under the dominant global initiatives and architectural frameworks of Industry 4.0 (or Industrie 4.0) in Germany, Industrial Internet in the US, Society 5.0 in Japan, and Made-in-China 2025 in China. As real-time embedded systems are quickly achieving ubiquity in everyday life and in industrial environments, and many processes already depend on real-time cyber-physical systems and embedded sensors, the integration of IoT with cognitive computing and real-time data exchange is essential for real-time analytics and realization of digital twins in smart environments and services under the various frameworks’ provisions. In this context, real-time sensor networks and systems for the Industrial IoT encompass multiple technologies and raise significant design, optimization, integration and exploitation challenges. The ten articles in this Special Issue describe advances in real-time sensor networks and systems that are significant enablers of the Industrial IoT paradigm. In the relevant landscape, the domain of wireless networking technologies is centrally positioned, as expected.

History of engineering & technology --- anomaly detection --- recurrent neural networks --- neural networks compression --- LHC --- WirelessHART network --- delay analysis --- real-time systems --- multi-channel processing --- simulation modeling --- transmission scheduling scheme --- industrial internet of things --- wireless networks --- industrial control systems --- wireless networked control systems --- industrial IoT --- security --- legacy production machinery --- real-time condition monitoring --- wireless local area network --- IEEE 802.11ah --- medium access control --- timeliness --- Wireless Sensor and Actuator Networks (WSANs) --- multipath retransmission --- resource scheduling --- realtime wireless communication --- monitoring and control system --- virtualization --- controller area network --- fieldbus --- real-time --- container --- Industrial Internet of Things (IIoT) --- LoRa --- WiFi HaLow --- Time Slotted Channel Hopping (TSCH) --- Narrowband IoT (NB-IoT) --- Bluetooth Low Energy (BLE) --- BLE Long Range --- WirelessHART --- ISA100.11a --- deep sparse coding --- convolutional neural networks --- signal analysis --- respiratory diseases --- medication adherence --- hardware design --- trust --- cryptography --- anomaly detection --- recurrent neural networks --- neural networks compression --- LHC --- WirelessHART network --- delay analysis --- real-time systems --- multi-channel processing --- simulation modeling --- transmission scheduling scheme --- industrial internet of things --- wireless networks --- industrial control systems --- wireless networked control systems --- industrial IoT --- security --- legacy production machinery --- real-time condition monitoring --- wireless local area network --- IEEE 802.11ah --- medium access control --- timeliness --- Wireless Sensor and Actuator Networks (WSANs) --- multipath retransmission --- resource scheduling --- realtime wireless communication --- monitoring and control system --- virtualization --- controller area network --- fieldbus --- real-time --- container --- Industrial Internet of Things (IIoT) --- LoRa --- WiFi HaLow --- Time Slotted Channel Hopping (TSCH) --- Narrowband IoT (NB-IoT) --- Bluetooth Low Energy (BLE) --- BLE Long Range --- WirelessHART --- ISA100.11a --- deep sparse coding --- convolutional neural networks --- signal analysis --- respiratory diseases --- medication adherence --- hardware design --- trust --- cryptography

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Sustainable interdisciplinarity focuses on human–nature relations and a multitude of contemporary overlapping research between society and the environment. A variety of disciplines have played a large part in better understanding sustainable development since its high-profile emergence approximately a quarter of a century ago. At present, the forefront of sustainability research is an array of methods, techniques, and growing knowledge base that considers past, present, and future pathways. Specific multidisciplinary concentrations within the scope of societal changes, urban landscape transformations, international environmental comparative studies, as well as key theories and dynamics relating to sustainable performance are explored. Specializations in complex sustainability issues address international governance arrangements, rules, and organizations—both public and private—within the scope of four themes: sustainability, human geography, environment, and interdisciplinary societal studies. This book contains eleven thoroughly refereed contributions concerning pressing issues that interlink sustainable interdisciplinarity with the presented themes in terms of the human–nature interface.

bike-share --- sustainable tourism and hospitality --- Cambodia --- interdisciplinary societal studies --- Fujian Province --- ecotourism --- spatial analysis --- urban spatial variables --- urban climate zones --- restoration --- interior components --- determinants --- Cheonggye Stream --- elderly people --- sustainability --- ridership --- Suseongdong Valley --- GIS --- collective forest --- concept of landscape --- community livelihood --- evidence-based design --- network analysis --- sustainable architectural design --- sociodemographic determinants --- human geography --- sustainable interior design --- participation --- income --- politics --- mathematical climate simulation modeling --- environmental contextualization --- community forest --- ideology --- air temperature --- Alzheimer --- dementia-friendly cities --- spatial statistical analysis --- sustainable water management --- adaptive reuse --- China --- healing gardens --- age-sensitive landscape design --- SES framework --- recycling --- bicycle-sharing systems --- GM food --- Korean culture --- urban climate --- sustainable tourism --- stakeholder collaboration --- food safety --- economics --- Czech Republic --- environment --- policy making --- performance --- culture --- regression --- nature reserve --- urban planning and design --- healthy public space design

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The Industrial Internet of Things (Industrial IoT—IIoT) has emerged as the core construct behind the various cyber-physical systems constituting a principal dimension of the fourth Industrial Revolution. While initially born as the concept behind specific industrial applications of generic IoT technologies, for the optimization of operational efficiency in automation and control, it quickly enabled the achievement of the total convergence of Operational (OT) and Information Technologies (IT). The IIoT has now surpassed the traditional borders of automation and control functions in the process and manufacturing industry, shifting towards a wider domain of functions and industries, embraced under the dominant global initiatives and architectural frameworks of Industry 4.0 (or Industrie 4.0) in Germany, Industrial Internet in the US, Society 5.0 in Japan, and Made-in-China 2025 in China. As real-time embedded systems are quickly achieving ubiquity in everyday life and in industrial environments, and many processes already depend on real-time cyber-physical systems and embedded sensors, the integration of IoT with cognitive computing and real-time data exchange is essential for real-time analytics and realization of digital twins in smart environments and services under the various frameworks’ provisions. In this context, real-time sensor networks and systems for the Industrial IoT encompass multiple technologies and raise significant design, optimization, integration and exploitation challenges. The ten articles in this Special Issue describe advances in real-time sensor networks and systems that are significant enablers of the Industrial IoT paradigm. In the relevant landscape, the domain of wireless networking technologies is centrally positioned, as expected.

anomaly detection --- recurrent neural networks --- neural networks compression --- LHC --- WirelessHART network --- delay analysis --- real-time systems --- multi-channel processing --- simulation modeling --- transmission scheduling scheme --- industrial internet of things --- wireless networks --- industrial control systems --- wireless networked control systems --- industrial IoT --- security --- legacy production machinery --- real-time condition monitoring --- wireless local area network --- IEEE 802.11ah --- medium access control --- timeliness --- Wireless Sensor and Actuator Networks (WSANs) --- multipath retransmission --- resource scheduling --- realtime wireless communication --- monitoring and control system --- virtualization --- controller area network --- fieldbus --- real-time --- container --- Industrial Internet of Things (IIoT) --- LoRa --- WiFi HaLow --- Time Slotted Channel Hopping (TSCH) --- Narrowband IoT (NB-IoT) --- Bluetooth Low Energy (BLE) --- BLE Long Range --- WirelessHART --- ISA100.11a --- deep sparse coding --- convolutional neural networks --- signal analysis --- respiratory diseases --- medication adherence --- hardware design --- trust --- cryptography --- n/a

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This book focuses on fundamental and applied research on construction project management. It presents research papers and practice-oriented papers. The execution of construction projects is specific and particularly difficult because each implementation is a unique, complex, and dynamic process that consists of several or more subprocesses that are related to each other, in which various aspects of the investment process participate. Therefore, there is still a vital need to study, research, and conclude the engineering technology and management applied in construction projects. This book present unanimous research approach is a result of many years of studies, conducted by 35 well experienced authors. The common subject of research concerns the development of methods and tools for modeling multi-criteria processes in construction engineering.

Technology: general issues --- History of engineering & technology --- earned value method—EVM --- time variances --- cost variances --- schedule --- cadastre --- land surveyor --- construction surveying --- building layout --- polar coordinates --- stake-out methods --- total station --- construction reports --- construction contracts --- natural language processing --- machine learning --- simulation modeling --- bridge expansion and contraction installation (BECI) --- decision making (DM) --- technical condition assessment --- analytic hierarchy process (AHP) --- whale optimization algorithm --- Tent chaotic mapping --- Lévy flight --- resilience --- baseline schedule --- uncertainty --- taxonomy --- construction project --- PERT --- theory of constraint (TOC) --- drum-buffer-rope (DBR) --- construction schedule --- monitoring progress --- construction phase --- automated monitoring --- digital tools --- as-built --- as-planned --- efficiency --- risk --- randomization --- association analysis --- tabu search --- delay --- time schedules --- project risk --- construction project management --- Time-at-Risk (TaR) --- investment-construction process model --- Monte Carlo simulation --- decision-making process --- decision modelling in construction activities --- decisions in civil engineering --- liquid cooling system --- flow calibration --- differential pressure --- experimental method --- aircraft --- building information modelling (BIM) --- automatisation --- facilities design --- domestic plumbing and sanitation --- management --- project cost --- investment schedule --- risk mitigation --- randomness --- fuzziness --- health and safety control