Chipless RF liquid sensor

Cole, Alex J.; Ng, Calvin Chun Hin; Almalki, Faris A.; Young, Paul R.

doi:10.1109/imarc.2015.7411378

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…During selection of the best optimized value, the network adaptively fine-tunes the free system parameters based on the corrections which minimize the MSE between inputs y i and the desired output d i , which represents the parameter bounds that are considered will improve channel performance. RBF-NN neurons compete at every iteration until either there are no further centre updates, or the maximum number of iterations is reached [32,53,54].…”

Section: Pl[db] 40 Log(d) − [10 Log G(h T ) + 10 Log G(h R ) + 20 Log(h T ) + 20 Log(hmentioning

confidence: 99%

Coupling multifunction drones with AI in the fight against the coronavirus pandemic

2021

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When COVID-19 was declared as a pandemic by the World Health Organization on 11 March 2020, national governments and health authorities across the world begun considering different preventive measures to fight against the coronavirus outbreak. Researchers and tech companies worldwide have been striving to utilize advanced technologies to aid in the fight against the Covid-19 outbreak. This paper aims to couple multifunction drone with AI to deliver wireless services that will help the fight against the Coronavirus pandemic. The proposed drone-eye-system with its thermal imaging cameras and an AI framework utilizes a Convolutional Neural Network (CNN) with its Modified Artificial Neural Network (MANN) for face mask detection of people wearing masks in public. The system can perform basic diagnostic functions such as elevated body temperatures for helping minimize the risk of spreading the infection through close contact. The AI framework evolve an optimized elevation angle $$\uptheta $$ θ and altitude $${\mathrm{h}}_{\mathrm{t}}$$ h t to enhance wireless connectivity between a drone and a ground station, which in turn leads to better throughput and power consumption. The proposed framework has been developed using the MATLAB toolbox and shows promising results with an accuracy of face mask detection of 82.63%, with an F1-score of 0.98, and an enhanced by 10% link budget parameters.

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Section: Pl[db] 40 Log(d) − [10 Log G(h T ) + 10 Log G(h R ) + 20 Log(h T ) + 20 Log(hmentioning

confidence: 99%

Coupling multifunction drones with AI in the fight against the coronavirus pandemic

2021

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“…In consideration of the propagation requirements, each patch uses an adaptable phase offset to steer beamforming at various angles (°) towards the desired direction [63][64][65][66]. The main beam is calculated with Eq.…”

Section: A Model Of a 5g Wireless Fixed Aerial Access Station (Wifiaas)mentioning

confidence: 99%

An enhanced design of a 5G MIMO antenna for fixed wireless aerial access

Almalki

Angelides

2021

Cluster Comput

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A recent market prediction is that 5G Fixed Wireless Access (FWA) will more than double over the next five years and trials at the same period in London suggest promising results. However, the shift to 5G FWA has raised a new set of research challenges in relation to speed of deployment and re-deployment, coverage, power consumption, end user mobility and last mile connectivity, to name just a few, because of the much higher expectations. A recent review reveals that key 5G Physical Layer technologies that will enable wide mobile and FWA have not kept up pace. In response to some of those research challenges, this paper presents the design of a 5G Multiple Input Multiple Output (MIMO) Antenna that is mounted on a tethered aerostat, and the combination of which serves as a 5G FWA aerial station. The antenna design features several novelties and the aerial station can provide last mile connectivity to a wide coverage footprint, with moderate power consumption and operating at high speeds. Both the evaluation of the antenna performance using several key performance indicators and the validation of the aerial station as a 5G FWA in a wireless sensor network (WSN) proof-of-concept application reveal efficiency gains.

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“…Liquid solutions were assessed in [12], where the response of a tuned rectangular waveguide cavity was used to determine concentrations of salt and sucrose within water. This paper is a comprehensive extension of previous work carried out in [13], where only simulated results were presented. The work used an unplasticised polyvinyl chloride (uPVC) pipe of a larger radius, but was unable to produce experimental results.…”

Section: Introductionmentioning

confidence: 99%