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Sydnone Methides: Intermediates between Mesoionic Compounds and Mesoionic N-Heterocyclic Olefins
Sydnone methides represent an almost unknown class of mesoionic compounds which possess exocyclic carbon substituents instead of oxygen (sydnones) or nitrogen (sydnone imines) in the 5-position of a 1,2,3-oxadiazolium ring. Unsubstituted...
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models
Recent work in XAI for eye tracking data has evaluated the suitability of feature attribution methods to explain the output of deep neural sequence models for the task of oculomotric biometric identification. In this work, we employ established...
Semantic modeling of cell damage prediction: A machine learning approach at human-level performance in dermatology
In this work we investigate cell damage in whole slice images of the epidermis. A common way for pathologists to annotate a score, characterising the degree of damage for these samples, is the ratio between healthy and unhealthy nuclei. The...
Uniform Analysis of Multipath Components From Various Scenarios With Time-Domain Channel Sounding at 300GHz
For the first time, channel measurements at 300 GHz from various environments and different measurement systems are jointly analyzed and published.
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
The Berlin V2X dataset offers high-resolution GPS-located wireless measurements across diverse urban environments in the city of Berlin for both cellular and sidelink radio access technologies, including information on the physical layer,...
Telepresence for surgical assistance and training using eXtended reality during and after pandemic periods
Existing challenges in surgical education (See one, do one, teach one) as well as the COVID-19 pandemic make it necessary to develop new ways for surgical training. This work describes the implementation of a scalable remote solution called...
FedAUXfdp: Differentially Private One-Shot Federated Distillation
Federated learning suffers in the case of non-iid local datasets, i.e., when the distributions of the clients’ data are heterogeneous. One promising approach to this challenge is the recently proposed method FedAUX. This work presents a fully...
Coherent LiDAR with 2D quasi-static MEMS mirror scanning
Coherent LiDAR concepts for automotive applications are of increasing interest due to their superior performance, especially at longer range. Here, MEMS mirrors can be used as a compact scanning device. We demonstrate the operation of such a...
Guard-ring free InGaAs/InP single photon avalanche diodes for C-band quantum communication
We present a guard-ring free InGaAs/InP single photon avalanche diode with 20 µm diameter for the optical C-band. At 225 K, 25.6 µs dead time and 17% detection efficiency, the dark count rate is 3 kcps with 0.5% afterpulsing probability. This...
Real-Time Sub-THz Link Enabled Purely by Optoelectronics: 90–310 GHz Seamless Operation
A photonics-enabled sub-THz wireless link operating in real-time settings, using a PIN-PD-based THz emitter, and a THz receiver based on an ultra-fast photoconductor is demonstrated. The real-time generation and detection of the information...
Microwave Photonic ps-Pulse and 140 GHz RF Comb Generator
A microwave photonic RF comb generator is presented by combining an fs-pulse laser and a high-speed broadband photodetector module. The subsystem generates pulses with a FWHM of 5.8 ps and a flat RF comb up to 140 GHz. Furthermore, the...
System for 3D Acquisition and 3D Reconstruction Using Structured Light for Sewer Line Inspection
We introduce an innovative system based on single-shot structured light modules that facilitates the detection and classification of spatial defects like jutting intrusions, spallings, or misaligned joints. This system creates highly accurate 3D...
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12 - 13
Berlin
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München
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.