Results 31 to 40 of about 1,282 (180)

Organic Photodetectors and Sensors for Low‐Light and Infrared Applications

Electron, EarlyView.
This mini review highlights recent advances in organic photodetectors and sensors for low‐light and infrared applications, emphasizing molecular design, device architectures, and interface engineering that improve charge transport, detectivity, speed, and spectral selectivity.
Swarup Biswas, Hyeok Kim
wiley   +1 more source

An Experimental Study of a Conventional Cylindrical Oscillating Water Column Wave Energy Converter: Fixed and Floating Devices

Energies
Oscillating water column (OWC) wave energy converters (WECs) are very popular types of wave energy converters due to their practical implementations, their versatility in deployment in different marine environments, and their high reliability in wave ...
Wanan Sheng, George Aggidis
doaj   +1 more source

Experimental Study of a Moored Floating Oscillating Water Column Wave-Energy Converter and of a Moored Cubic Box

Energies, 2019
This paper describes experimental research on a floating moored Oscillating Water Column (OWC)-type Wave-Energy Converter (WEC) carried out in the wave flume of the Coastal Engineering Research Group of Ghent University. This research has been introduced
Minghao Wu, Vasiliki Stratigaki, Peter Troch, Corrado Altomare, Tim Verbrugghe, Alejandro Crespo, Lorenzo Cappietti, Matthew Hall, Moncho Gómez-Gesteira   +8 more
doaj   +1 more source

Effect of wall inclination on the dynamic behaviour of an oscillating water column system [PDF]

MATEC Web of Conferences, 2020
The Oscillating Water Column device (OWC) is one of the most used Wave Energy Converters (WECs) for wave energy harvesting. It consists essentially of two parts: the pneumatic chamber made of concrete and the bidirectional turbine linked to a generator ...
El Barakaz Abdelhamid, El Marjani Abdellatif, Mounir Hamid   +2 more
doaj   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Geometric Swarm Flocking with OWC Constraints

2025 23rd International Symposium on Network Computing and Applications (NCA)
This paper presents a decentralized leader election algorithm for unmanned aerial vehicle (UAV) swarms operating under Optical Wireless Communication (OWC) constraints. To enable interference-free, RF-independent coordination, the method unifies swarm initialization and navigation planning.
Aziza, Kerrian, Tighilt, Massinissa, Bui-Xuan, Binh-Minh   +2 more
openaire   +1 more source

Green indoor optical wireless communication systems: Pathway towards pervasive deployment

Digital Communications and Networks, 2021
The Optical Wireless Communication (OWC) offers the high capacity of optical fiber communication with the flexibility of wireless communication. Since it works in the optical region of the ElectroMagnetic (EM) spectrum, it guarantees safety and security ...
C. Jenila, R.K. Jeyachitra
doaj   +1 more source

Refining techniques for high‐frequency monitoring of chlorophyll a fluorescence in estuarine systems

Limnology and Oceanography: Methods, EarlyView.
Abstract Concentrations of the photosynthetic pigment chlorophyll a are commonly used as a proxy for phytoplankton biomass in aquatic systems. Traditional methods for extracting chlorophyll a in discrete samples limit measurement frequency, while in situ sensor technology provides high frequency chlorophyll a fluorescence measurements at a more ...
Nicole Dix, Hannah Nicklay, Jacob Cianci‐Gaskill, Shannon Dunnigan Kimmel, J. Silas Tanner, Kim Cressman, Steven E. McMurray, Yoshimi M. Rii, Rikke Jeppesen, Rachel Guy, Erik Smith   +10 more
wiley   +1 more source

Big Bird: A global dataset of birds in drone imagery annotated to species level

Remote Sensing in Ecology and Conservation, EarlyView.
Drones are a valuable tool for surveying birds, but manually detecting and identifying birds in drone images is costly. We assembled a diverse dataset of 23 865 images of birds captured with 21 different drones across 11 countries. We labelled 4824 of these images, detailing the location, species, posture category, age category, and sex of 49 990 birds
Joshua P. Wilson, Tatsuya Amano, Thomas Bregnballe, Alejandro Corregidor‐Castro, Roxane Francis, Diego Gallego‐García, Jarrod C. Hodgson, Landon R. Jones, César R. Luque‐Fernández, Dominik Marchowski, John McEvoy, Ann E. McKellar, W. Chris Oosthuizen, Christian Pfeifer, Martin Renner, José Hernán Sarasola, Mateo Sokač, Roberto Valle, Adam Zbyryt, Richard A. Fuller   +19 more
wiley   +1 more source

Distance Analysis in Regular OWC Deployments

IEEE Access
For future wireless networks, including 6G, the ability to accurately model and predict network behaviour is essential for meeting stringent quality of service (QoS) requirements. This paper addresses a critical need in future wireless communication systems, particularly for 6G networks, by providing a comprehensive mathematical framework for modelling
Ali Mahbas, John Cosmas, Hamed S. Al-Raweshidy   +2 more
openaire   +3 more sources