Actualités
Lancement d’un service de prototypage et de pré-industrialisation de dispositifs de protection en composites
Apollinaire propose une offre de prototypage fonctionnel et de pré-industrialisation pour les pièces de protection des systèmes électroniques opérant en environnements sévères. Apollinaire Composites & Technologies annonce deux axes de développement : le...
Socomec lance Masterys GP4 200-250 kVA/kW, son premier onduleur intégrant des semi-conducteurs en carbure de silicium
Socomec, spécialiste de la coupure de sécurité, de la commutation de sources, de la mesure et de la conversion d’énergie, dévoile Masterys GP4 200-250 kVA/kW. La topologie à trois niveaux et le recours à des semi-conducteurs au carbure de silicium (SiC) confèrent à...
Cirket to Showcase Advanced Solutions as a Leading China PCB Fabrication Supplier at NEPCON China 2026
The global electronics manufacturing landscape is currently undergoing a significant transformation, driven by the rapid integration of Artificial Intelligence, IoT connectivity, and the electrification of automotive systems. As these technologies evolve, the demand...
Variable Bit-Width All-Optical Content-Addressable Memory Enabled by Sb2Se3 for Similarity Search
In the big-data-driven artificial intelligence era, similarity search, as a core operation in machine learning and data mining, demands high speed, energy efficiency, and scenario adaptability. Conventional electronic content-addressable memory (ECAMs) suffer from...
Anti drone radars filets brouilleurs panorama des technologies
La lutte anti-drone est devenue une priorité pour la sécurité aérienne, commerciale et militaire, sous la pression des incursions et des essais de capacité. Les technologies de détection et de neutralisation évoluent rapidement, mêlant radars, brouilleurs, lasers et...
A Comparative Study of Machine Learning and Deep Learning Models for Real-Time UAV Positioning Error Estimation
Highlights What are the main findings? The horizontal errors are generally larger and more variable than vertical errors. Some features (‘gnss_L5Q_mean’ and ‘gnss_L1C_std’) dominate the positioning error of the UAV. Pour en savoir plus : A Comparative Study of Machine...
A Multi-Scenario UAV RF Dataset with Real-World Acquisition and Signal Processing Benchmarking
We present a real-world multi-scenario unmanned aerial vehicle (UAV) radio frequency (RF) dataset, namely DRFF-R2, which is collected using a dedicated acquisition platform under diverse operational conditions. All signals are acquired within a unified framework to...
SHIELD8-UAV: Sequential 8-bit Hardware Implementation of a Precision-Aware 1D-F-CNN for Low-Energy UAV Acoustic Detection and Temporal Tracking
Real-time unmanned aerial vehicle (UAV) acoustic detection at the edge demands low-latency inference under strict power and hardware limits. This paper presents SHIELD8-UAV, a sequential 8-bit hardware implementation of a precision-aware 1D feature-driven CNN...
Autonomous Sensing UAV for Accurate Multi-User Identification and Localization in LAWN
This paper presents an autonomous sensing framework for identifying and localizing multiple users in Fifth Generation (5G) cooperative networks using an Unmanned Aerial Vehicle (UAV) that is not part of the serving access network. Unlike conventional aerial serving...
UDRT-DETR: a small UAV detection method based on infrared imaging and RT-DETR
The rapid development and wide application of unmanned aerial vehicles (UAVs) have made illegal and unauthorized flights a serious threat to public safety, making timely detection essential. However, existing UAV detection methods still struggle to accurately detect...
