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Obstructive Sleep Apnea (OSA) is a common and serious medical condition characterized by interrupted breath during sleep. Continuous Positive Airway Pressure (CPAP) is the gold-standard treatment for OSA. Patients’ compliance to (CPAP) therapy is essential to get optimal treatment, but CPAP compliance rates are suboptimal. Internet of Things (IoT) is a new concept that enables objects to be connected to each other, sensed and controlled remotely across existing network infrastructure. One of the recent IoT applications in health is telemonitoring CPAP. A 6 weeks study was launched with 71 patients in the sleep unit at Andre Renard clinic, starting from January till the mid February 2016. The aim was to investigate the effect of the switch to an IoT based CPAP (Wi-Fi CPAP) compared to the traditional CPAP treatment used before. Different elements have been studied, adherence rates, effect on hospital work load, effect on hospital informatics and human structure, and impact on time and cost in general. To overcome the privacy concerns, patients signed a “privacy consent” before treatment initiation. The results showed increased CPAP adherence rate (96.61%), decreased number of patients who discontinued the treatment (only 2 patients), increased specialist availability, and time saving. The new CPAP was easy to use by both patients and caregivers. It didn’t add additional work to the staff, nor required specific changes in IT or human structure in the clinic. This study demonstrated initially promising results of the switch from traditional CPAP to Wi-Fi CPAP in the treatment of (OSA)
Internet of things, (IoT), sleep apnea, obstructive sleep apnea, (OSA), CPAP, e CPAP, Wi-Fi CPAP,telemonitoring CPAP, telemedicine, IoT applications, CPAP adherance, CPAP compliance --- treatment of sleep apnea, nasal CPAP, --- Sciences économiques & de gestion > Multidisciplinaire, généralités & autres
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This book explores how the concepts, methods and tools of systemic analyses have been utilised in various contexts, and at different levels, to improve the efficiency and optimisation of sustainable energy systems.
Research & information: general --- renewable portfolio standards --- emissions trading scheme --- optimal operational strategy --- generation expansion plan --- energy planning --- public institution --- passive energy --- CRITIC method --- urban metabolism --- household energy metabolism --- household energy metabolism assessment methods --- household energy consumption --- energy systems optimisation --- exergy analysis --- cumulative-exergy consumption minimisation --- multi-energy systems --- energy-system design --- municipal energy systems --- internet of things --- IoT applications --- energy efficiency --- energy in buildings --- smart energy systems --- smart grid --- flexible demand --- energy storage --- concentrating solar power --- geographic information systems --- potential assessment --- renewable energy --- solar thermal --- South Africa --- CSP --- energy and economy transition --- decision making --- international energy security risk index --- multiple regression analysis --- multicollinearity test --- multicollinearity test with variance inflation factors --- renewable energy systems --- microgrids --- optimal expansion planning --- energy resilience --- resilient energy systems --- critical loads --- electric vehicles --- techno-economic analysis --- HOMER Pro --- New Zealand
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This book explores how the concepts, methods and tools of systemic analyses have been utilised in various contexts, and at different levels, to improve the efficiency and optimisation of sustainable energy systems.
renewable portfolio standards --- emissions trading scheme --- optimal operational strategy --- generation expansion plan --- energy planning --- public institution --- passive energy --- CRITIC method --- urban metabolism --- household energy metabolism --- household energy metabolism assessment methods --- household energy consumption --- energy systems optimisation --- exergy analysis --- cumulative-exergy consumption minimisation --- multi-energy systems --- energy-system design --- municipal energy systems --- internet of things --- IoT applications --- energy efficiency --- energy in buildings --- smart energy systems --- smart grid --- flexible demand --- energy storage --- concentrating solar power --- geographic information systems --- potential assessment --- renewable energy --- solar thermal --- South Africa --- CSP --- energy and economy transition --- decision making --- international energy security risk index --- multiple regression analysis --- multicollinearity test --- multicollinearity test with variance inflation factors --- renewable energy systems --- microgrids --- optimal expansion planning --- energy resilience --- resilient energy systems --- critical loads --- electric vehicles --- techno-economic analysis --- HOMER Pro --- New Zealand
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This book explores how the concepts, methods and tools of systemic analyses have been utilised in various contexts, and at different levels, to improve the efficiency and optimisation of sustainable energy systems.
Research & information: general --- renewable portfolio standards --- emissions trading scheme --- optimal operational strategy --- generation expansion plan --- energy planning --- public institution --- passive energy --- CRITIC method --- urban metabolism --- household energy metabolism --- household energy metabolism assessment methods --- household energy consumption --- energy systems optimisation --- exergy analysis --- cumulative-exergy consumption minimisation --- multi-energy systems --- energy-system design --- municipal energy systems --- internet of things --- IoT applications --- energy efficiency --- energy in buildings --- smart energy systems --- smart grid --- flexible demand --- energy storage --- concentrating solar power --- geographic information systems --- potential assessment --- renewable energy --- solar thermal --- South Africa --- CSP --- energy and economy transition --- decision making --- international energy security risk index --- multiple regression analysis --- multicollinearity test --- multicollinearity test with variance inflation factors --- renewable energy systems --- microgrids --- optimal expansion planning --- energy resilience --- resilient energy systems --- critical loads --- electric vehicles --- techno-economic analysis --- HOMER Pro --- New Zealand
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The recent years have witnessed tremendous growth in connected vehicles due to major interest in vehicular ad hoc networks (VANET) technology from both the research and industrial communities. VANET involves the generation of data from onboard sensors and its dissemination in other vehicles via vehicle-to-everything (V2X) communication, thus resulting in numerous applications such as steep-curve warnings. However, to increase the scope of applications, VANET has to integrate various technologies including sensor networks, which results in a new paradigm commonly referred to as vehicular sensor networks (VSN). Unlike traditional sensor networks, every node (vehicle) in VSN is equipped with various sensing (distance sensors, GPS, and cameras), storage, and communication capabilities, which can provide a wide range of applications including environmental surveillance and traffic monitoring. VSN has the potential to improve transportation technology and the transportation environment due to its unlimited power supply and resulting minimum energy constraints. However, VSN faces numerous challenges in terms of its design, implementation, network scalability, reliability, and deployment over large-scale networks, which need to be addressed before it is realized. This book comprises 12 outstanding research works related to vehicular sensor networks, addressing various aspects such as security, routing, SDN, and NDN.
barrier control --- sensors platform --- vehicle detection --- license plate recognition --- raspberry-pi --- features extraction --- machine learning algorithms --- connected vehicles, internet of vehicles --- security --- IoT --- blockchain --- vehicular ad-hoc network --- wireless sensor networks --- wake-up radio --- medium access control protocol --- receiver-initiated MAC protocol --- traffic adaptation --- software-defined vehicular network --- vehicle-to-everything (V2X) --- modeling and implementation --- software defined network --- information-centric networking (ICN) --- client-cache (CC) --- video on demand (VoD) --- vehicular sensor network (VSN) --- smart city --- delay tolerant network --- infrastructure offloading --- opportunistic network --- vehicular mobility --- energy consumption --- carbon emission --- V2V communication --- message contents plausibility --- power control --- vehicle edge computing --- 5G cellular networks --- multi-receiver signcryption --- privacy --- PSO --- genetic algorithm --- ITS --- UAV --- simulation --- dynamic positioning --- 3D placement --- vehicular communications --- cross-validation --- anti-collaborative attack --- resource-saving --- trust computing --- Caching --- Named Data Networking --- Information Centric Networking --- Vehicular Ad Hoc Networks --- 5G --- D2D communication --- vehicle-to-vehicle communication --- mode selection --- vehicular social network --- vehicular sensor networks (VSN) --- vehicular ad-hoc networks (VANET) --- privacy and trust --- cyber security --- multimedia and cellular communication --- emerging IoT applications in VANET and VSN --- blockchain within VANET and VSN
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The recent years have witnessed tremendous growth in connected vehicles due to major interest in vehicular ad hoc networks (VANET) technology from both the research and industrial communities. VANET involves the generation of data from onboard sensors and its dissemination in other vehicles via vehicle-to-everything (V2X) communication, thus resulting in numerous applications such as steep-curve warnings. However, to increase the scope of applications, VANET has to integrate various technologies including sensor networks, which results in a new paradigm commonly referred to as vehicular sensor networks (VSN). Unlike traditional sensor networks, every node (vehicle) in VSN is equipped with various sensing (distance sensors, GPS, and cameras), storage, and communication capabilities, which can provide a wide range of applications including environmental surveillance and traffic monitoring. VSN has the potential to improve transportation technology and the transportation environment due to its unlimited power supply and resulting minimum energy constraints. However, VSN faces numerous challenges in terms of its design, implementation, network scalability, reliability, and deployment over large-scale networks, which need to be addressed before it is realized. This book comprises 12 outstanding research works related to vehicular sensor networks, addressing various aspects such as security, routing, SDN, and NDN.
Information technology industries --- barrier control --- sensors platform --- vehicle detection --- license plate recognition --- raspberry-pi --- features extraction --- machine learning algorithms --- connected vehicles, internet of vehicles --- security --- IoT --- blockchain --- vehicular ad-hoc network --- wireless sensor networks --- wake-up radio --- medium access control protocol --- receiver-initiated MAC protocol --- traffic adaptation --- software-defined vehicular network --- vehicle-to-everything (V2X) --- modeling and implementation --- software defined network --- information-centric networking (ICN) --- client-cache (CC) --- video on demand (VoD) --- vehicular sensor network (VSN) --- smart city --- delay tolerant network --- infrastructure offloading --- opportunistic network --- vehicular mobility --- energy consumption --- carbon emission --- V2V communication --- message contents plausibility --- power control --- vehicle edge computing --- 5G cellular networks --- multi-receiver signcryption --- privacy --- PSO --- genetic algorithm --- ITS --- UAV --- simulation --- dynamic positioning --- 3D placement --- vehicular communications --- cross-validation --- anti-collaborative attack --- resource-saving --- trust computing --- Caching --- Named Data Networking --- Information Centric Networking --- Vehicular Ad Hoc Networks --- 5G --- D2D communication --- vehicle-to-vehicle communication --- mode selection --- vehicular social network --- vehicular sensor networks (VSN) --- vehicular ad-hoc networks (VANET) --- privacy and trust --- cyber security --- multimedia and cellular communication --- emerging IoT applications in VANET and VSN --- blockchain within VANET and VSN
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