Tyndall National Institute - Conference Items

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    Photonic integrated circuit assisted photothermal spectroscopy
    (Institute of Electrical and Electronics Engineers (IEEE), 2024-06-10) Ricchiuti, Giovanna; Walsh, Anton; Mendoza-Castro, Jesús Hernán; Vorobev, Artem S.; Kotlyar, Maria; Iadanza, Simone; Grande, Marco; Lendl, Bernhard; O’Faolain, Liam; Science Foundation Ireland; Horizon 2020
    For the first time, we demonstrate on-chip photothermal spectroscopy of a liquid phase sample, namely water in isopropanol and will show how this technique can be used to realize compact highly sensitive and selective sensors for a range of analytes.
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    Smart meter reference load profiles and peak demand models
    (Springer, 2024-06) Carroll, Paula; Silva, Fábio; Tahir, Farah; O'Regan, Brian; Lyons, Pádraig; International Energy Research Centre (IERC); Tyndall National Institute; University College Cork; University College Dublin
    Smart grids are components of future clean energy systems. They create new challenges and opportunities for the efficient and reliable management of the electricity system. The aggregate behaviour of groups of electricity users, such as the magnitude and timing of peak demand are important factors in determining the required capacity of the Low Voltage (LV) distribution network in the context of a transition to low carbon heat and transport. In this paper we use smart meter data from consumer behaviour trials in Ireland to create Reference Load Profiles (RLPs), and to model peak residential electricity demand. We find differences in the peak demand and profile by day type, and that Burr, and Weibull models are useful to estimate peak demand. Keywords:
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    Effect of wave polarization in on-body propagation for the 2.4, 24 and 60 GHz ISM bands
    (Institute of Electrical and Electronics Engineers (IEEE), 2024-04-26) Khan, Wasi Ur Rehman; Ammann, Max J.; Scanlon, William G.; Science Foundation Ireland
    A skin-based phantom is used to numerically model on-body propagation at three different frequencies, 2.4, 24 and 60 GHz. Linearly-polarized open-ended waveguides are used as antennas. The influence of polarization on path gain and antenna radiation efficiency are analyzed. The results show that path gain is highly sensitive to the antenna/body separation at 24 and 60 GHz.
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    Machine learning approaches for EM signature analysis in chipless RFID technology
    (Institute of Electrical and Electronics Engineers (IEEE), 2024-04-26) Rather, Nadeem; Simorangkir, Roy B.V. B.; Buckley, John L.; O'Flynn, Brendan; Tedesco, Salvatore; Science Foundation Ireland; Enterprise Ireland; European Regional Development Fund
    In this paper, for the first time, we provide a comprehensive review of Machine Learning (ML) approaches in Chipless Radio Frequency Identification (CRFID) technology, which is a fast-developing sector with applications in inventory management, anti-counterfeiting, health monitoring, and environmental monitoring, to name a few. ML techniques are rapidly being integrated to improve CRFID systems' capabilities for robust detection of information. The combination of ML with CRFID technology is presented, examining various ML approaches, applications, challenges, and future perspectives. It is observed that ML has been successfully deployed in CRFID with high accuracy in the detection of information from CRFID tags. Challenges, such as data quality, security, and scalability are identified. Moreover, the literature currently struggles in the application of ML models on high-capacity tags, and lacks standardized data collection and sharing methodologies. We suggest the development of common data collection protocols, data sharing initiatives, and collaboration to establish a cohesive framework for CRFID data-driven research.
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    A compact microwave rectifier for wireless power transfer and energy harvesting applications
    (Institute of Electrical and Electronics Engineers (IEEE), 2024-04-26) Moloudian, Gholamhosein; Kumar, Sanjeev; O'Flynn, Brendan; Buckley, John L.; Horizon 2020; Science Foundation Ireland
    This paper presents a microwave rectifier with compact size and high efficiency for radio frequency (RF) energy harvesting and low-power internet of things (IoT) applications. The proposed rectifier consists of a matching network, a doubler rectifier, a lowpass (LPF) structure and a low-power electronic circuit. An LPF structure is employed to pass a direct current (DC) rectified signal and to control harmonics which increases the output voltage (VOUT−DC) as well as power conversion efficiency (PCE). The proposed rectifier is designed to operate at f=1.8 GHz which shows a maximum PCE of 62% for an RF input power (PIN) level of 8 dBm and optimum load (RL) of 820 Ω . A DC-DC boost converter and an energy storage capacitor (COUT=370μF) are employed to deliver sufficient DC voltage to power a low-power electronic circuit. The proposed rectifier is demonstrated to be capable of powering a low-power circuit at varying PIN levels. The developed rectifier can be used in RF energy harvesting and wireless power transmission systems to power sensor nodes and IoT devices.