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Endoskopische Vermessung von Nasenseptumdefekten
In the context of otorhinolaryngologic surgery, we present a gentle approach to treating NSP with a new image-based, contactless, and radiation-free measurement method using a 3D endoscope. The method relies on image information only and makes...
Influence of losses on the Laser Voltage drop of the active section
A model of a tunable distributed Bragg reflector (DBR) laser describing the effect of cavity losses on the gain voltage is presented. Theoretical and experimental results are in good agreement. Measurements show the gain voltage trace for Bragg...
Influence of losses on the Laser Voltage drop of the active section
A model of a tunable distributed Bragg reflector (DBR) laser describing the effect of cavity losses on the gain voltage is presented. Theoretical and experimental results are in good agreement. Measurements show the gain voltage trace for Bragg...
2D Optical Phased Arrays for Laser Beam Steering Based on 3D Polymer Photonic Integrated Circuits
A novel concept for the implementation of 2-dimensional (2D) optical phased arrays (OPAs) with end-fire waveguides as antenna elements (AEs) is proposed and its theoretical model and experimental proof is presented. The concept is based on the...
COMPASS: localization in laparoscopic visceral surgery
Tracking of surgical instruments is an essential step towards the modernization of the surgical workflow by a comprehensive surgical landscape guidance system (COMPASS). Real-time tracking of a laparoscopic camera used in minimally-invasive...
Formation of Titanium Nitride, Titanium Carbide and Silicon Carbide Surfaces by High Power Femtosecond Laser Treatment
Surface treatment with femtosecond laser pulses at high repetition rates in the presence of gaseous sources for nitrogen and carbon leads to the formation of stable coatings with nitrides and carbides. High power femtosecond laser setups fill the...
Feature Focus: Towards Explainable and Transparent Deep Face Morphing Attack Detectors
In this paper, we present Feature Focus, a new transparent face morphing detector based on a modified VGG-A architecture and an additional feature shaping loss function, as well as Focused Layer-wise Relevance Propagation (FLRP), an extension of...
An Efficient Multi-Link Channel Model for LiFi
The emergence of LiFi for indoor communications opens up new possibilities for wireless services in crowded multiuser scenarios. The deployment of LiFi in indoor scenarios is challenging due to the line-of-sight (LOS) blockage as well as...
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons
With the growing demand for deploying Deep Learning models to the “edge”, it is paramount to develop techniques that allow to execute models within very tight and limited resource constraints. In this work we propose a software-hardware...
S-Band Transmission with Off-the-Shelf C-Band Components Enabled by Nonlinear Predistortion based on Coherent System Identification
Nonlinear Predistortion based on Coherent System Identification Text: In order to cope with the rapid traffic growth and as well reducing the cost-per-bit, reuse of the legacy optical fiber infrastructure is one of the main objectives for...
Zero on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data
We present a network architecture which compares RGB images and untextured 3D models by the similarity of the represented shape. Our system is optimised for Zero-Shot retrieval, meaning it can recognise shapes never shown in training.
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Federated learning (FL) is the most widely adopted framework for collaborative training of deep learning models under privacy constraints. Albeit its popularity, it has been observed that FL yields suboptimal results if the clients’ data...
Nächste Termine
3 - 6
Amsterdam, Niederlande
29 - 30
Innovationen für die digitale Gesellschaft
Innovationen für die digitale Gesellschaft von morgen stehen im Mittelpunkt der Forschungs- und Entwicklungsarbeit des Fraunhofer-Instituts für Nachrichtentechnik, Heinrich-Hertz-Institut, HHI. Dabei ist das Fraunhofer HHI weltweit führend in der Erforschung von mobilen und optischen Kommunikationsnetzen und -systemen, faseroptischen Sensorsystemen sowie der Kodierung von Videosignalen und der Bilddatenverarbeitung.
Gemeinsam mit internationalen Partnern aus Forschung und Industrie arbeitet das Fraunhofer HHI im gesamten Spektrum der digitalen Infrastruktur – von der grundlegenden Forschung bis hin zur Entwicklung von Prototypen und Lösungen. Das Institut trägt signifikant zu den Standards für Informations- und Kommunikationstechnologien bei und schafft neue Anwendungen als Partner der Industrie.
Innovationen für die digitale Gesellschaft von morgen stehen im Mittelpunkt der Forschungs- und Entwicklungsarbeit des Fraunhofer Heinrich-Hertz-Instituts HHI. Dabei ist das Institut weltweit führend in der Erforschung von mobilen und optischen Kommunikationsnetzen und -systemen, faseroptischen Sensorsystemen sowie der Kodierung von Videosignalen und der Bilddatenverarbeitung.