Different approaches to optimize high-definition matrix headlights to improve computer vision

The contribution at hand presents and compares different online optimization approaches of dynamic illumination of matrix headlamps to improve automatic object recognition by neural networks. The approaches optimize, on the one hand, the network confidence and, on the other hand, the brightness of the image, the Weber contrast, and the gradient distribution on the image depending on the headlight beam pattern. The evaluation shows no objectively seen best cost function for the scenario studied, and selecting a cost function is a subjective decision. Optimizing the beam pattern to increase the confidence and intersection over union leads to inhomogeneous and subjectively disturbing beam patterns, and using contrast and gradient leads to similar results

Experimental tests of pseudo-complex General Relativity

Based on previous publications exploring pseudo-complex General Relativity (pc-GR) we present a selection of observable consequences of pc-GR and possible ways to experimentally access them. Whenever possible we compare the results to Einstein's GR and differences are worked out in detail. We propose experimental tests to check the predictions of pc-GR for the orbital frequency of test particles, the gravitational redshift effect and the last stable orbit. We will show that the orbital frequency of test particles at a given radius in pc-GR is in general lower compared to standard GR. Also the effect of frame dragging is modified (weakened) in pc-GR. Concerning the gravitational redshift of a radiation emitting object we find that it is also lower in pc-GR than in standard GR. Eventually the classical concept of a last stable orbit has to be modified in pc-GR.Comment: submitted for publication to the Monthly Notices of the Royal Astronomical Societ

Usage of material properties of 3D objects for an improved illumination by high-definition matrix headlights

The contribution at hand presents a novel algorithm to improve visual perception for humans and machine vision algorithms by virtually adjusting the illumination of high-definition (HD) matrix headlights as a function of different material properties in the environment, such that each material can be illuminated with a different illumination intensity. Since the material properties affect the visual perception of objects, this approach allows the attention of human drivers and other human traffic participants to be focused on selected areas or significantly increase the detection quality for machine vision algorithms in the case of automated driving, while it is possible to save energy at the same time

Tissue distribution of 5-hydroxymethylcytosine and search for active demethylation intermediates.

5-Hydroxymethylcytosine (hmC) was recently detected as the sixth base in mammalian tissue at so far controversial levels. The function of the modified base is currently unknown, but it is certain that the base is generated from 5-methylcytosine (mC). This fuels the hypothesis that it represents an intermediate of an active demethylation process, which could involve further oxidation of the hydroxymethyl group to a formyl or carboxyl group followed by either deformylation or decarboxylation. Here, we use an ultra-sensitive and accurate isotope based LC-MS method to precisely determine the levels of hmC in various mouse tissues and we searched for 5-formylcytosine (fC), 5-carboxylcytosine (caC), and 5-hydroxymethyluracil (hmU) as putative active demethylation intermediates. Our data suggest that an active oxidative mC demethylation pathway is unlikely to occur. Additionally, we show using HPLC-MS analysis and immunohistochemistry that hmC is present in all tissues and cell types with highest concentrations in neuronal cells of the CNS

Kunden beeinflussen die betriebliche Standortplanung: Kunden beeinflussen die betriebliche Standortplanung: Neue Ansätze zur Berücksichtigung empirisch ermittelter Auswahlentscheidungen

Standortentscheidungen sind der strategischen Planung zuzuordnen. In diesem Beitrag geht es um Standorte, die von Kunden aufgesucht werden und im Wettbewerb stehen. Aus der Sicht eines Kunden ist die Wahl einer Einrichtung ein diskretes Entscheidungsproblem. Derartige Entscheidungen können durch diskrete Wahlmodelle (zum Beispiel Logit-Modelle) abgebildet werden. Dieser Beitrag zeigt, wie deren Ergebnisse in die modellgestützte Standortplanung integriert werden können. Die Anwendbarkeit der Ansätze wird an zwei Fallstudien demonstriert.Within the framework of strategic planning, location decisions must necessarily take into account competition factors. The customer’s choice is a discrete decision problem. In this paper, we highlight the opportunities for integration of the results of a discrete choice model (for example a logit model) into facility location planning. The approaches are applied to two different case studies

Time processing in children and adults with ADHD

A time-processing deficit has been proposed as a neuropsychological candidate endophenotype for Attention Deficit Hyperactivity Disorder (ADHD), but its developmental trajectory still needs to be explored. In the present study, children (N=33) and adults (N=22) with ADHD were compared to normal controls on two time-processing tasks. For time reproduction, ADHD-related impairment was found in the full group, but not when adults were analyzed separately. For the discrimination of brief intervals, children and adults with ADHD showed different patterns of deficit. We conclude that in ADHD some time-processing deficits are still present in adults, but may take on age-related different form

Diagnostic Value of Resting Electroencephalogram in Attention-Deficit/Hyperactivity Disorder Across the Lifespan

The resting electroencephalogram (EEG) reflects development and arousal, but whether it can support clinical diagnosis of attention-deficit/hyperactivity disorder (ADHD) remains controversial. Here we examined whether theta power and theta/beta ratio are consistently elevated in ADHD and younger age as proposed. Topographic 48-channel EEG from 32 children (8-16years) and 22 adults (32-55years) with ADHD and matched healthy controls (n=30 children/21 adults) was compared. Following advanced artefact correction, resting EEG was tested for increased theta and theta/beta activity due to ADHD and due to normal immaturity. Discriminant analyses tested classification performance by ADHD and age using these EEG markers as well as EEG artefacts and deviant attentional event-related potentials (ERPs). No consistent theta or theta/beta increases were found with ADHD. Even multivariate analyses indicated only marginal EEG power increases in children with ADHD. Instead, consistent developmental theta decreases were observed, indicating that maturational lags of fewer than 3years would have been detected in children. Discriminant analysis based on proposed simple spectral resting EEG markers was successful for age but not for ADHD (81 vs. 53% accuracy). Including ERP markers and EEG artefacts improved discrimination, although not to diagnostically useful levels. The lack of consistent spectral resting EEG abnormalities in ADHD despite consistent developmental effects casts doubt upon conventional neurometric approaches towards EEG-based ADHD diagnosis, but is consistent with evidence that ADHD is a heterogeneous disorder, where the resting state is not consistently characterised by maturational la