Browsing Sentraladministrasjonen by Journals "Sensors"
Now showing items 1-20 of 21
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Assessing the Cloud-RAN in the Linux Kernel: Sharing Computing and Network Resources
(Peer reviewed; Journal article, 2024)Cloud-based Radio Access Network (Cloud-RAN) leverages virtualization to enable the coexistence of multiple virtual Base Band Units (vBBUs) with collocated workloads on a single edge computer, aiming for economic and ... -
Big data workflows: Locality-aware orchestration using software containers
(Sensors;Volume 21 / Issue 24, Peer reviewed; Journal article, 2021-12-08)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 ... -
Brain Connectivity Analysis in Distinct Footwear Conditions during Infinity Walk Using fNIRS
(Peer reviewed; Journal article, 2023)Gait and balance are an intricate interplay between the brain, nervous system, sensory organs, and musculoskeletal system. They are greatly influenced by the type of footwear, walking patterns, and surface. This exploratory ... -
Classification of Individual Finger Movements from Right Hand Using fNIRS Signal
(Sensors;Volume 21 / Issue 23, Peer reviewed; Journal article, 2021-11-28)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 ... -
Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment
(Peer reviewed; Journal article, 2023)In wireless communication, small cells are low-powered cellular base stations that can be used to enhance the coverage and capacity of wireless networks in areas where traditional cell towers may not be practical or ... -
Deep Learning for Classifying Physical Activities from Accelerometer Data
(Sensors;Volume 21 / Issue 16, Peer reviewed; Journal article, 2021-08-18)Physical inactivity increases the risk of many adverse health conditions, including the world’s major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening ... -
Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources
(Sensors;Volume 22 / Issue 7, Peer reviewed; Journal article, 2022-04-06)Many data related problems involve handling multiple data streams of different types at the same time. These problems are both complex and challenging, and researchers often end up using only one modality or combining them ... -
Efficacy of Vehicle Scanning Methods in Estimating the Mode Shapes of Bridges Seated on Elastic Supports
(Peer reviewed; Journal article, 2023)This study systematically assesses the efficacy of the vehicle scanning methods (VSM) in accurately estimating the mode shapes of bridges seated on elastic supports. Three state-ofthe-art VSM methods are employed to obtain ... -
Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer Interface Application
(Peer reviewed; Journal article, 2024)Brain–computer interface (BCI) systems include signal acquisition, preprocessing, feature extraction, classification, and an application phase. In fNIRS‑BCI systems, deep learning (DL) algo‑ rithms play a crucial role in ... -
A Framework for Long-Term Vibration-Based Monitoring of Bridges
(Sensors;Volume 21 / Issue 14, Peer reviewed; Journal article, 2021-07-11)A new framework for long-term monitoring of bridges is proposed in order to negate (i) the impact of measurement uncertainties on damage detection in vibration-based structural health monitoring and (ii) the low sensitivity ... -
GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos
(Peer reviewed; Journal article, 2023)The interest in video anomaly detection systems that can detect different types of anomalies, such as violent behaviours in surveillance videos, has gained traction in recent years. The current approaches employ deep ... -
Identification of vibration frequencies of railway bridges from train-mounted sensors using wavelet transformation
(Peer reviewed; Journal article, 2023) -
Identification of Vibration Frequencies of Railway Bridges from Train-Mounted Sensors Using Wavelet Transformation
(Peer reviewed; Journal article, 2023)This article presents a novel methodology to extract the bridge frequencies from the vibrations recorded on train-mounted sensors. Continuous wavelet transform is used to distinguish the bridge frequencies from the other ... -
In Vivo Analysis of a Biodegradable Magnesium Alloy Implant in an Animal Model Using Near-Infrared Spectroscopy
(Peer reviewed; Journal article, 2023)Biodegradable magnesium-based implants offer mechanical properties similar to natural bone, making them advantageous over nonbiodegradable metallic implants. However, monitoring the interaction between magnesium and tissue ... -
Microwave Sensors for In Situ Monitoring of Trace Metals in Polluted Water
(Sensors;21 (9), Journal article; Peer reviewed, 2021-05-01)Thousands of pollutants are threatening our water supply, putting at risk human and environmental health. Between them, trace metals are of significant concern, due to their high toxicity at low concentrations. Abandoned ... -
Near-Infrared Spectroscopy for the In Vivo Monitoring of Biodegradable Implants in Rats
(Sensors;, Peer reviewed; Journal article, 2023)Magnesium (Mg) alloys possess unique properties that make them ideal for use as biodegradable implants in clinical applications. However, reports on the in vivo assessment of these alloys are insufficient. Thus, monitoring ... -
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach
(Peer reviewed; Journal article, 2023)Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ... -
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach
(Peer reviewed; Journal article, 2023)Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ... -
Reported Outcome Measures in Studies of Real-World Ambulation in People with a Lower Limb Amputation: A Scoping Review
(Sensors;Volume 22 / Issue 6, Peer reviewed; Journal article, 2022-03-14)Background: The rapidly increasing use of wearable technology to monitor free-living ambulatory behavior demands to address to what extent the chosen outcome measures are representative for real-world situations. This ... -
Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines
(Peer reviewed; Journal article, 2023)