NCS Testbed for Ambient Intelligence

Gabel, Oliver; Litz, Lothar; Reif, Markus

doi:10.1109/icsmc.2005.1571131

Cited by 16 publications

(4 citation statements)

References 6 publications

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“…Nevertheless, these test-beds do not support experiments with physical systems. Example test-beds that include the physical systems are the works in [14], [15]. These test-beds focus on ambient intelligence applications.…”

Section: B Related Workmentioning

confidence: 99%

An Architecture for Experiments in Connected and Automated Vehicles

Kloock

Scheffe

Gress

et al. 2023

IEEE Open J. Intell. Transp. Syst.

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Rapid prototyping of Connected and Automated Vehicles (CAV) is challenging because of the physical distribution of vehicles. Furthermore, experiments with CAV may be subject to external influences which prevent reproducibility. This article presents an architecture for the experimental testing of CAVs, focusing on decision-making. Our architecture for experiments of CAV is strictly modular and hierarchical, and therefore it supports an easy and rapid exchange of every single controller as well as of optimization libraries. Additionally, the architecture synchronizes the whole network of sensors, computation devices, and actuators. Thus, it achieves deterministic and reproducible results, even for timevariant network topologies. Using this architecture, we can include active and passive vehicles and vehicles with heterogeneous dynamics in the experiments. The architecture also allows for handling communication uncertainties, e.g., data packet drop and time delay. The resulting architecture supports performing different in-the-loop tests and experiments. We demonstrate the architecture in the Cyber-Physical Mobility Lab (CPM Lab) using 20 vehicles on a 1:18 scale. The architecture can be applied to other domains.

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Section: B Related Workmentioning

confidence: 99%

An Architecture for Experiments in Connected and Automated Vehicles

Kloock

Scheffe

Gress

et al. 2023

IEEE Open J. Intell. Transp. Syst.

View full text Add to dashboard Cite

show abstract

“…Nevertheless, these test-beds do not support experiments with physical systems. Example test-beds that include the physical systems are the works in [11], [12]. These test-beds focus on ambient intelligence applications.…”

Section: B Related Workmentioning

confidence: 99%

An Architecture for Experiments in Connected and Automated Vehicles

Kloock¹,

Scheffe²,

Greß³

et al. 2023

Preprint

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<p>Rapid prototyping of Connected and Automated Vehicles (CAV) is challenging because of the physical distribution of vehicles. Furthermore, experiments with CAV may be subject to external influences which prevent reproducibility. This article presents an architecture for the experimental testing of CAVs with a focus on decision-making. Our architecture for experiments of CAV is strictly modular and hierarchical, and therefore it supports an easy and rapid exchange of every single controller as well as of optimization libraries. Additionally, the architecture synchronizes the whole network of sensors, computation devices, and actuators. Thus, it achieves deterministic and reproducible results, even for time-variant network topologies. Using this architecture, we are able to include active and passive vehicles and vehicles with heterogeneous dynamics in the experiments. The architecture also allows for handling communication uncertainties, e.g., data packet drop and time delay. The resulting architecture supports performing different in-the-loop tests and experiments. We demonstrate the architecture in the Cyber-Physical Mobility Lab (CPM Lab) using 20 vehicles in 1:18 scale. The architecture can be applied to other domains.</p>

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“…There are a lot of works done for AmI. In Gabel et al (2005), the authors present a simulation environment that offers a library of networked control systems (NCS) blocks. Thus, the constraints can be considered and integrated into the design process.…”

Section: Introductionmentioning

confidence: 99%

Implementation and evaluation of an ambient intelligence testbed

Bylykbashi

Spaho

Obukata

et al. 2018

IJWIS

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Purpose The purpose of this work is to implement an ambient intelligence (AmI) testbed to improve human sleeping conditions. Design/methodology/approach The implemented testbed is composed of the sensor node, sink node and actor node. As sensor node, the authors use a microwave sensor module (MSM) called DC6M4JN3000, which emits microwaves in the direction of a human or animal subject. These microwaves reflect back off the surface of the subject and change slightly in accordance with movements of the subject’s heart and lungs. As sink node, the authors use Raspberry Pi 3 Model B computers. In the sink node, the data are processed and then clustered by the k-means clustering algorithm. Then, the result is sent to the actor node (Reidan Shiki PAD module), which can be used for cooling and heating the bed. Findings The authors carried out simulations and experiments. Based on the simulation results, it was found that the room lighting, humidity and temperature have different effects on humans during sleeping. The best performance is shown when LIG parameter is 10 units, HUM parameter is 50 and TEM parameter is 25. Based on experimental results, it was found that the implemented AmI testbed has a good effect on humans during sleeping. Research limitations/implications For simulations, three input parameters were considered. However, new parameters that affect human sleeping conditions also need to be investigated. Further, the experiments were carried out for one person. More extensive experiments with multiple people are needed to have a better evaluation. Originality/value In this research work, a new fuzzy-based system was implemented to improve human sleeping conditions. The authors presented three new input parameters to evaluate the output (sleeping condition). The authors implemented and evaluated a testbed and showed that the implemented AmI testbed has a good effect on humans during sleeping, thus improving their quality of life (QoL).

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NCS Testbed for Ambient Intelligence

Cited by 16 publications

References 6 publications

An Architecture for Experiments in Connected and Automated Vehicles

An Architecture for Experiments in Connected and Automated Vehicles

An Architecture for Experiments in Connected and Automated Vehicles

Implementation and evaluation of an ambient intelligence testbed

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