Soft Actuation: Smart Home and Office with Human-in-the-Loop

Domaszewicz, J.; Lalis, Spyros; Pruszkowski, Aleksander; Koutsoubelias, Manos; Tajmajer, Tomasz; Grigoropoulos, Nasos; Nati, Michele; Gluhak, Alexander

doi:10.1109/mprv.2016.5

Cited by 18 publications

(6 citation statements)

References 8 publications

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“…There is only one way of doing this, that is, keeping citizens engaged with their surroundings actively as essentially sensors and/or actuators to some extent enabling evolving systems over the increased control of citizens in their environment. The term, soft actuation with Human-in-the-Loop in conjunction with citizen actuation has been proposed to indicate the actuation triggered by citizens directly or indirectly [30].…”

Section: ) Citizen Engagementmentioning

confidence: 99%

TCitySmartF: A Comprehensive Systematic Framework for Transforming Cities Into Smart Cities

Kuru

Ansell

2020

IEEE Access

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A shared agreed-upon definition of ''smart city'' (SC) is not available and there is no ''best formula'' to follow in transforming each and every city into SC. In a broader inclusive definition, it can be described as an opportunistic concept that enhances harmony between the lives and the environment around those lives perpetually in a city by harnessing the smart technology enabling a comfortable and convenient living ecosystem paving the way towards smarter countries and the smarter planet. SCs are being implemented to combine governors, organisations, institutions, citizens, environment, and emerging technologies in a highly synergistic synchronised ecosystem in order to increase the quality of life (QoL) and enable a more sustainable future for urban life with increasing natural resource constraints. In this study, we analyse how to develop citizen-and resource-centric smarter cities based on the recent SC development initiatives with the successful use cases, future SC development plans, and many other particular SC development solutions. The main features of SC are presented in a framework fuelled by recent technological advancement, particular city requirements and dynamics. This framework-TCitySmartF 1) aims to aspire a platform that seamlessly forges engineering and technology solutions with social dynamics in a new philosophical city automation concept-socio-technical transitions, 2) incorporates many smart evolving components, best practices, and contemporary solutions into a coherent synergistic SC topology, 3) unfolds current and future opportunities in order to adopt smarter, safer and more sustainable urban environments, and 4) demonstrates a variety of insights and orchestrational directions for local governors and private sector about how to transform cities into smarter cities from the technological, social, economic and environmental point of view, particularly by both putting residents and urban dynamics at the forefront of the development with participatory planning and interaction for the robust community-and citizen-tailored services. The framework developed in this paper is aimed to be incorporated into the real-world SC development projects in Lancashire, UK. INDEX TERMS Smart city, crowdsourcing, Internet of Everything (IoE), cloud, edge/fog/MEC, smart planet, IoT.

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Section: ) Citizen Engagementmentioning

confidence: 99%

TCitySmartF: A Comprehensive Systematic Framework for Transforming Cities Into Smart Cities

Kuru

Ansell

2020

IEEE Access

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“…Even though real-time, personalized DOOH is the main motivation behind the development of Arahub, there are many other, useful applications of such a system. The integration of multi-modal data sources for more accurate positioning and profiling may be used in smart-city and smart-home [7] environments, especially in healthcare or public services [8]. Also, security systems could benefit from more accurate analysis methods; facial recognition methods -despite rising privacy concerns -may also provide valuable insight if used with respect to legal regulations [9].…”

Section: B Motivationmentioning

confidence: 99%

“…RESULTS -CONTINUOUS TRACKING OF PERSONS MOVING BETWEEN PREDEFINED LOCATIONS IN AN AREA OBSERVED BY7 obstacle -visible by 3 araboxes. The goal was to continuously track persons moving between sub-areas.…”

mentioning

confidence: 99%

Integrated Human Tracking Based on Video and Smartphone Signal Processing within the Arahub System

Ludziejewski

Grad

Przebinda³

et al. 2020

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems

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Embedded platforms with GPU acceleration, designed for performing machine learning on the edge, enabled the creation of inexpensive and pervasive computer vision systems. Smartphones are nowadays widely used for profiling and tracking in marketing, based on WiFi data or beacon-based positioning systems. We present the Arahub system, which aims at integrating world of computer vision systems with smartphone tracking for delivering data useful in interactive applications, such as interactive advertisements. In this paper we present the architecture of the Arahub system and provide insight about its particular elements. Our preliminary results, obtained from reallife test environments and scenarios, show that the Arahub system is able to accurately assign smartphones to their bearers, based on visual and WiFi/Bluetooth positioning data. We show the commercial value of such system and its potential applications.

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“…These techniques are called X-inthe-Loop (XiL) and include Engine-in-the-Loop, Hardware-in-the-Loop, Software-in-the-Loop, Model-in-the-Loop and Human-inthe-loop [28][29][30][31][32]. The XiL is used in different fields, as marine systems [33,34], power units [36], home automation and robots [37], educational science [38].…”

Section: Introductionmentioning

confidence: 99%

Advanced Control Strategies on Nonlinear Testbench Dynamometer System for Simulating the Fuel Consumption

Fanesi¹,

Scaradozzi²

2020

Adv. sci. technol. eng. syst. j.

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The adoption of Engine-in-the-loop technology shows real behaviour. This study presents a test runs simulation platform with real engine data. In addition, a test bench model is a demand approach that offers a significant potential to provide an excellent reproducibility of test runs. The platform includes the data integration to upgrade tests run and a comparison with previous results using the advancing control techniques designed. The dynamometer system presents significantly non-linearity. The adaptive control approach, integrated into the Model Predictive Control on the vehicle, allows increasing the tests run performance. The results show how the real data can improve performance and the validation of the system integrating the updated driving cycle and maintaining EiL approach. The conclusion showed the significant benefits regarding the control methods used.

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Soft Actuation: Smart Home and Office with Human-in-the-Loop

Cited by 18 publications

References 8 publications

TCitySmartF: A Comprehensive Systematic Framework for Transforming Cities Into Smart Cities

TCitySmartF: A Comprehensive Systematic Framework for Transforming Cities Into Smart Cities

Integrated Human Tracking Based on Video and Smartphone Signal Processing within the Arahub System

Advanced Control Strategies on Nonlinear Testbench Dynamometer System for Simulating the Fuel Consumption

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