Blar i Institutt for elektroniske systemer på tidsskrift "IEEE Sensors Journal"
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Impedance and Noise of Passive and Active Dry EEG Electrodes: A Review
(Peer reviewed; Journal article, 2020)Dry electrodes are a promising solution for prolonged EEG signal acquisition, whereas wet electrodes may lose their signal quality in the same situation and require skin preparation for set-up. Here, we review the impedance ... -
A Machine-Learning Architecture for Sensor Fault Detection, Isolation and Accommodation in Digital Twins
(Journal article; Peer reviewed, 2022)Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins. However, sensors might be unreliable due to inherent issues and/or environmental conditions. This paper ... -
Numerical Simulation of Mutual Capacitance Touch Screens for Ungrounded Objects
(Journal article; Peer reviewed, 2017) -
Optimal transmission-constrained scheduling of spatio-temporally dependent observations using age-of-information
(Peer reviewed; Journal article, 2022)This paper proposes an optimal scheduling policy for broadcasting spatio-temporally dependent observations to two remote estimators over a finite time horizon. The system comprises a scheduler that can broadcast one ... -
Parameter Estimation of the Single-Dispersion Fractional Cole-Impedance Model With the Embedded Hardware
(Peer reviewed; Journal article, 2023) -
Sensor-Fault Detection, Isolation and Accommodation for Digital Twins via Modular Data-Driven Architecture
(Peer reviewed; Journal article, 2021)Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins. However, sensors might be unreliable due to inherent issues and/or environmental conditions. This ... -
Time-Frequency Fused Underwater Acoustic Source Localization Based on Contrastive Predictive Coding
(Peer reviewed; Journal article, 2022)We propose a time-frequency fused underwater acoustic source localization method based on self-supervised learning with contrastive predictive coding. Firstly, two feature extractors are trained to solve the pretext task ... -
Total Variation-Based Distributed Kalman Filtering for Resiliency Against Byzantines
(Peer reviewed; Journal article, 2023)This article proposes a distributed Kalman filter (DKF) with enhanced robustness against Byzantine adversaries. A Byzantine agent is a legitimate network agent that, unlike an honest agent, manipulates information before ... -
Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages
(Journal article; Peer reviewed, 2021)This work studies the impact of Wireless Sensor Networks (WSNs) for oil spill detection and localization in Subsea Production Systems. The case study is the Goliat FPSO, with a realistic assumption about the presence of a ...