Results 71 to 80 of about 5,130 (264)
A time‐varying formulation of the curled wake model within the FAST.Farm framework
In this article, we present a time‐varying formulation of the curled wake model that we implemented in FAST.Farm. The curled wake model, originally developed for steady‐state conditions, is used to produce realistic wake profiles behind a wind turbine in
Emmanuel Branlard +2 more
doaj +1 more source
Full-Scale Field Test of Wake Steering
Wind farm control, in which turbine controllers are coordinated to improve farmwide performance, is an active field of research. One form of wind farm control is wake steering, in which a turbine is yawed to the inflow to redirect its wake away from downstream turbines.
Paul Fleming +8 more
openaire +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
An adeno‐associated virus (AAV) toolkit enables selective anatomical and functional targeting of striatal D1‐MSNs through retrograde transduction. Enhanced capsids and engineered enhancers drive robust transgene expression across murine and primate models.
Zexuan Hong +14 more
wiley +1 more source
Data–Driven Design of an Active Wake Steering Control for a Wind Farm Benchmark
Wake steering yaws upstream wind turbines to deflect their wakes from downstream turbines, thus increasing the generated power. However, most wake steering methods rely on lookup tables obtained offline, which map a set of conditions, such as wind speed ...
Farsoni S., Simani S., Castaldi P.
core +1 more source
Data–Driven Wake Steering Control for a Simulated Wind Farm Model
Upstream wind turbines yaw to divert their wakes away from downstream turbines, increasing the power produced. Nevertheless, the majority of wake steering techniques rely on offline lookup tables that translate a set of parameters, including wind speed ...
Castaldi, Paolo +2 more
core +2 more sources
This study presents a miniaturized bidirectional thermal stimulation system integrated with an electrode array enabling real‐time, bidirectional modulation and simultaneous recording of neural activity through localized heating and cooling. By monolithic integration of the Peltier element and with a silicon neural probe, the innovative system allows ...
Zoia Naumkina +6 more
wiley +1 more source
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source
Untersuchung des Windpark-Wake- Steering unter Berücksichtigung eines Fledermausalgorithmus [PDF]
In dieser Arbeit werden Nachlaufströmungen von Windenergieanlagen untersucht, um den Energieertrag durch die Anwendung von Wake-Steering mittels Anpassung der Gier-Winkel zu maximieren.
Rapp, Niklas
core
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source

