2,155 research outputs found
Can travel time variability be ignored when solving the transit network design problem?
[no abstract available
Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization
We demonstrate that L2 normalization over feature space--an extremely simple
method requiring no additional training strategies, hyperparameters,
specialized loss functions or image augmentation--can produce competitive
results for Out-of-Distribution (OoD) detection with a fraction of the training
time (60 epochs with ResNet18, 100 epochs with ResNet50) required by more
sophisticated methods. We show theoretically and empirically that our simple
method decouples feature norms from the Neural Collapse (NC) constraints
imposed by CE loss minimization. This decoupling preserves more feature-level
information than a standard CE loss training regime, and allows greater
separability between ID norms and near-OoD or far-OoD norms. Our goal is to
provide insight toward fundamental, model-based approaches to OoD detection,
with less reliance on external factors such as hyperparameter tuning or
specialized training regimes. We suggest that L2 normalization provides a
collection of benefits large enough to warrant consideration as a standard
architecture choice
Possible Application of Short Range Communication Technologies in the Digital Tachograph System to Support Vehicles Filtering during Road Controls
The existing Digital Tachograph is a regulatory instrument (mandatory by Council Regulation since 1st May 2006) to enforce the application of social regulations in road transport especially with the view to increase traffic safety. It records the work and the rest times of drivers as well as the vehicle speed over time with the aim to ensure that appropriate rest periods are taken by drivers and that a maximum of permissible speed is not exceeded.
The original and prime functionality of the Digital Tachograph is to document, i.e. to record, the driving history of a driver and his vehicle. Nevertheless controls by the road safety authorities are rather inefficient while time-consuming. The proposed update to the existing regulation would rather guarantee the Digital Tachograph as a compliance device rather than as an accurate recorder of driving history. Basic innovation is the application of short range communication technologies (like RFID) allowing the road authorities to scan by-passing vehicles and thus increasing the throughput by the order of ten.JRC.DG.G.7-Traceability and vulnerability assessmen
First Results of the PixelGEM Central Tracking System for COMPASS
For its physics program with a high-intensity hadron beam of up to 2e7
particles/s, the COMPASS experiment at CERN requires tracking of charged
particles scattered by very small angles with respect to the incident beam
direction. While good resolution in time and space is mandatory, the challenge
is imposed by the high beam intensity, requiring radiation-hard detectors which
add very little material to the beam path in order to minimize secondary
interactions.
To this end, a set of triple-GEM detectors with a hybrid readout structure
consisting of pixels in the beam region and 2-D strips in the periphery was
designed and built. Successful prototype tests proved the performance of this
new detector type, showing both extraordinary high rate capability and
detection efficiency. The amplitude information allowed to achieve spatial
resolutions about a factor of 10 smaller than the pitch and a time resolution
close to the theoretical limit imposed by the layout.
The PixelGEM central tracking system consisting of five detectors, slightly
improved with respect to the prototype, was completely installed in the COMPASS
spectrometer in spring 2008
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