Browsing Publikasjoner fra CRIStin - SINTEF AS by Journals "Sensors"
Now showing items 1-20 of 24
-
Adaptive Structured Light with Scatter Correction for High-Precision Underwater 3D Measurements
(Peer reviewed; Journal article, 2019): High-precision underwater 3D cameras are required to automate many of the traditional subsea inspection, maintenance and repair (IMR) operations. In this paper we introduce a novel multi-frequency phase stepping ... -
Analysis of Spatial Decorrelation of Small-Scale Tropospheric Delay Using High-Resolution NWP Data
(Peer reviewed; Journal article, 2023)This paper contains results from a study where numerical weather product (NWP) data provided by MET Norway were used to estimate the differential zenith tropospheric delay (dZTD) for an area including Scandinavia, Finland ... -
Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology
(Peer reviewed; Journal article, 2022)A porcine model was used to investigate the feasibility of using VIS-NIR spectroscopy to differentiate between degrees of ischemia–reperfusion injury in the small intestine. Ten pigs were used in this study and four segments ... -
Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data
(Journal article; Peer reviewed, 2018)The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ... -
Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields
(Peer reviewed; Journal article, 2020)Automated robotic platforms are an important part of precision agriculture solutions for sustainable food production. Agri-robots require robust and accurate guidance systems in order to navigate between crops and to and ... -
Big data workflows: Locality-aware orchestration using software containers
(Peer reviewed; Journal article, 2021)The emergence of the Edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider ... -
Characterization of the GNSS RFI Threat to DFMC GBAS Signal Bands
(Peer reviewed; Journal article, 2022)This article presents analysis results from a long-term multi-site Global Navigation Satellite System (GNSS) Radio Frequency Interference (RFI) monitoring campaign in the context of Ground Based Augmentation System (GBAS) ... -
Classification of Individual Finger Movements from Right Hand Using fNIRS Signal
(Peer reviewed; Journal article, 2021)Functional near-infrared spectroscopy (fNIRS) is a comparatively new noninvasive, portable, and easy-to-use brain imaging modality. However, complicated dexterous tasks such as individual finger-tapping, particularly using ... -
Delicar: A smart deep learning based self driving product delivery car in perspective of Bangladesh
(Peer reviewed; Journal article, 2022)The rapid expansion of a country’s economy is highly dependent on timely product distribution, which is hampered by terrible traffic congestion. Additional staff are also required to follow the delivery vehicle while it ... -
Design of a Multiband Global Navigation Satellite System Radio Frequency Interference Monitoring Front-End with Synchronized Secondary Sensors
(Journal article; Peer reviewed, 2018)This paper investigates the challenges of developing a multi-frequency radio frequency interference (RFI) monitoring and characterization system that is optimized for ease of deployment and operation as well as low per ... -
Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic Emission
(Peer reviewed; Journal article, 2022)Aiming at early detection of subsurface cracks induced by contact fatigue in rotating machinery, the knowledge-based data analysis algorithm is proposed for health condition monitoring through the analysis of acoustic ... -
Estimation of mechanical power output employing deep learning on inertial measurement data in roller ski skating
(Peer reviewed; Journal article, 2021)The ability to optimize power generation in sports is imperative, both for understanding and balancing training load correctly, and for optimizing competition performance. In this paper, we aim to estimate mechanical power ... -
Estimation of mechanical power output employing deep learning on inertial measurement data in roller ski skating
(Peer reviewed; Journal article, 2021)The ability to optimize power generation in sports is imperative, both for understanding and balancing training load correctly, and for optimizing competition performance. In this paper, we aim to estimate mechanical power ... -
Exploiting Cooperative Downlink NOMA in D2D Communications
(Peer reviewed; Journal article, 2023)We propose and investigate a bidirectional device-to-device (D2D) transmission scheme that exploits cooperative downlink non-orthogonal multiple access (NOMA) (termed as BCD-NOMA). In BCD-NOMA, two source nodes communicate ... -
High Latitude Ionospheric Gradient Observation Results from a Multi-Scale Network
(Peer reviewed; Journal article, 2023)In this article, a cluster comprised of eight Continuously Operating Reference Station (CORS) receivers surrounding five supplemental test stations located on much shorter baselines is used to form a composite multi-scale ... -
High Performance Predictable Quantum Efficient Detector Based on Induced-Junction Photodiodes Passivated with SiO2/SiNx
(Peer reviewed; Journal article, 2021)We performed a systematic study involving simulation and experimental techniques to develop induced-junction silicon photodetectors passivated with thermally grown SiO2 and plasma-enhanced chemical vapor deposited (PECVD) ... -
Inner-Cycle Phases Can Be Estimated from a Single Inertial Sensor by Long Short-Term Memory Neural Network in Roller-Ski Skating
(Peer reviewed; Journal article, 2022)Objective: The aim of this study was to provide a new machine learning method to determine temporal events and inner-cycle parameters (e.g., cycle, pole and ski contact and swing time) in cross-country roller-ski skating ... -
Measurement of urinary bladder pressure: A comparison of methods
(Journal article; Peer reviewed, 2018)Pressure is an essential parameter for the normal function of almost all organs in the human body. Measurement of pressure is therefore highly important in clinical practice and medical research. In clinical practice, ... -
Micro-lensed negative-curvature fibre probe for raman spectroscopy
(Peer reviewed; Journal article, 2021)We developed a novel miniature micro-lensed fibre probe for Raman spectroscopy. The fibre probe consists of a single negative-curvature fibre (NCF) and a spliced, cleaved, micro-lensed fibre cap. Using a single NCF, we ... -
Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines
(Peer reviewed; Journal article, 2023)Big data pipelines are developed to process data characterized by one or more of the three big data features, commonly known as the three Vs (volume, velocity, and variety), through a series of steps (e.g., extract, ...