Journal: Sensors (Basel, Switzerland)

Article Title: NR5G-SAM: A SLAM Framework for Field Robot Applications Based on 5G New Radio.

doi: 10.3390/s23115354

Figure Lengend Snippet: Figure 1. Positioning with 5G NR and User Equipment (UE) by performing trilateration between gNBs and the UE on a mobile robotic system [16].

Article Snippet: We have coupled the simulation engine with the 5G MATLAB Toolbox (https://www. mathworks.com/products/5g.html, accessed on 4 March 2023) for the 5G NR configuration and signal transmission.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: NR5G-SAM: A SLAM Framework for Field Robot Applications Based on 5G New Radio.

doi: 10.3390/s23115354

Figure Lengend Snippet: Figure 6. Base stations locations for the experiment using 5G NR Macro cells and the starting location of UE that is attached to the robot base.

Article Snippet: We have coupled the simulation engine with the 5G MATLAB Toolbox (https://www. mathworks.com/products/5g.html, accessed on 4 March 2023) for the 5G NR configuration and signal transmission.

Techniques:

Journal: Ocean & Coastal Management

Article Title: From a citizen science programme to a coastline monitoring system: Achievements and lessons learnt from the Spanish CoastSnap network

doi: 10.1016/j.ocecoaman.2024.107280

Figure Lengend Snippet: Fig. 1. The Spanish CoastSnap network by December 2022 with their 15 CSs located across 13 points (blue dots) due to two of them being ‘double-stations’ (dedicated to the monitoring of the same area from different perspectives).The background used for the location maps are orthophotos from PNOA (national plan for aerial orthophotography in Spain) sources (CC-BY 4.0, https://scne.es 2021 (last access: October 20, 2023)) and the European boundary layer downloaded from http: //www.efrainmaps.es (last access: October 20, 2023) (Carlos Efraín Porto Tapiqu´en – Geografía, SIG y Cartografía Digital, Valencia, Spain, 2020).

Article Snippet: Shoreline extraction from images involved a multi-step process: image registration using Adobe Photoshop, rectification and shoreline mapping using the MATLAB CoastSnap Toolbox (Harley, 2023), and additional manual correction when needed.

Techniques:

Journal: Ocean & Coastal Management

Article Title: From a citizen science programme to a coastline monitoring system: Achievements and lessons learnt from the Spanish CoastSnap network

doi: 10.1016/j.ocecoaman.2024.107280

Figure Lengend Snippet: Fig. 3. Monthly counts of valid images at each Spanish CS (bars), total monthly users (black line), CSs installation date (circles), time periods of COVID-19 mobility restrictions in Spain and the ‘Centinelas de la Costa’ project and monthly contest (dimension brackets) and, release of CoastSnap app and social media dedicated profile (black arrows).

Article Snippet: Shoreline extraction from images involved a multi-step process: image registration using Adobe Photoshop, rectification and shoreline mapping using the MATLAB CoastSnap Toolbox (Harley, 2023), and additional manual correction when needed.

Techniques:

Journal: Ocean & Coastal Management

Article Title: From a citizen science programme to a coastline monitoring system: Achievements and lessons learnt from the Spanish CoastSnap network

doi: 10.1016/j.ocecoaman.2024.107280

Figure Lengend Snippet: Fig. 6. Monthly photo submission trends by upload method for the CoastSnap stations at cies, agrelo, areamaior, and cadiz. Each line indicates the number of valid images per upload method, while diamonds represent the ratio of images-per-user for each method. The grey dashed line indicates a ratio value of images per user equal to one.

Article Snippet: Shoreline extraction from images involved a multi-step process: image registration using Adobe Photoshop, rectification and shoreline mapping using the MATLAB CoastSnap Toolbox (Harley, 2023), and additional manual correction when needed.

Techniques: