Fak. 4 Elektrotechnik und Informatik

1358 Items

Recent Submissions
Estimation and analysis of motion in video data

Senst, Tobias (2019)

Motion plays an important role in machine perception to automatically analyze the content of sceneries which have been captured by video cameras. The information obtained from moving objects and surfaces allows the dynamical behavior of entities on different abstraction levels to be analyzed and is a decisive element for the understanding of the scenery. The technical concept of optical flow wa...

Impacto del ángulo de incidencia de la luz en la vigilancia

Broszio, Kai ; Knoop, Martine ; Völker, Stephan (2019-05-08)

Los resultados de la investigación hasta la fecha en el campo de los efectos no visuales de la luz en los seres humanos no revelan ningún patrón claro de causalidad. Una de las razones de ello podría ser la descripción, a menudo inadecuada, de la situación de la iluminación. La iluminancia vertical del ojo se utiliza normalmente para describir la intensidad del estímulo. Las células ganglionare...

Enhanced Classification Methods for the Depth of Cognitive Processing Depicted in Neural Signals

Nicolae, Irina-Emilia ; Acqualagna, Laura ; Neagu, Georgeta-Mihaela ; Strungaru, Rodica ; Blankertz, Benjamin (2018)

Analyzing brain states is a difficult problem due to high variability between subjects and trials, therefore improved techniques are requested to be developed for a better discrimination between the neural components. This paper investigates multiple enhanced classification methods for neurological feature selection and discrimination of the depth of cognitive processing. The aim is to detect t...

High-performance transceiver front-ends in SiGe technologies for 400Gb/s optical links

García López, Iria (2019)

Die optische Glasfaserkommunikation ist ein wichtiger Bestandteil in der heutigen industriellen Entwicklung und des wirtschaftlichen Fortschrittes in unserer modernen Gesellschaft geworden. Um die Anforderungen des zunehmenden Datenverkehrs zu erfüllen, die für Anwendungen wie das Internet der Dinge (IoT) und Cloud-Computing benötigt werden, müssen die Bandbreite, die Leistungsaufnahme und die ...

SiGe BiCMOS integrated circuits for optical communication transmitters

Vieira Rito, Pedro Filipe (2019)

Telecommunications play a crucial role in our daily lives, not only because of their significance in allowing interaction between all of us, but also due to the forthcoming expansion of connection and exchange of data between machines, the so-called Internet of Things (IoT), which will result in a massive network of thousands of millions of devices around the world. Such growth of the internet ...

Presenting a Spatial-Geometric EEG Feature to Classify BMD and Schizophrenic Patients

Alimardani, Fatemeh ; Boostani, Reza ; Blankertz, Benjamin (2016)

Schizophrenia (SZ) and bipolar mood disorder (BMD) patients demonstrate some similar signs and symptoms; therefore, distinguishing those using qualitative criteria is not an easy task especially when these patients experience manic or hallucination phases. This study is aimed at classifying these patients by spatial analysis of their electroencephalogram (EEG) signals. In this way, 22-channels ...

Ensembles of adaptive spatial filters increase BCI performance: an online evaluation

Sannelli, Claudia ; Vidaurre, Carmen ; Müller, Klaus-Robert ; Blankertz, Benjamin (2016-05-17)

Objective: In electroencephalographic (EEG) data, signals from distinct sources within the brain are widely spread by volume conduction and superimposed such that sensors receive mixtures of a multitude of signals. This reduction of spatial information strongly hampers single-trial analysis of EEG data as, for example, required for brain–computer interfacing (BCI) when using features from spont...

Multiscale temporal neural dynamics predict performance in a complex sensorimotor task

Samek, Wojciech ; Blythe, Duncan A. J. ; Curio, Gabriel ; Klaus-Robert, Müller ; Blankertz, Benjamin ; Nikulin, Vadim V. (2016-07-09)

Ongoing neuronal oscillations are pivotal in brain functioning and are known to influence subjects' performance. This modulation is usually studied on short time scales whilst multiple time scales are rarely considered. In our study we show that Long-Range Temporal Correlations (LRTCs) estimated from the amplitude of EEG oscillations over a range of time-scales predict performance in a complex ...

ECoG high gamma activity reveals distinct cortical representations of lyrics passages, harmonic and timbre-related changes in a rock song

Sturm, Irene ; Blankertz, Benjamin ; Potes, Cristhian ; Schalk, Gerwin ; Curio, Gabriel (2014-10-13)

Listening to music moves our minds and moods, stirring interest in its neural underpinnings. A multitude of compositional features drives the appeal of natural music. How such original music, where a composer's opus is not manipulated for experimental purposes, engages a listener's brain has not been studied until recently. Here, we report an in-depth analysis of two electrocorticographic (ECoG...

Bedeutung der Elektrolytverteilung in Blei-Säure Batteriezellen

Wipperfürth, Walter (2019)

This thesis presents the effects of electrolyte distribution in relation to the active material in lead-acid battery cells. The disadvantages of an insufficiently even and sufficient distribution of the electrolyte are presented by means of experiment results in order to show proposals for the optimization of battery capacity and energy density. Instructions for the improvement of the distrib...

Inferring network properties of cortical neurons with synaptic coupling and parameter dispersion

Roy, Dipanjan ; Jirsa, Viktor (2013-03-26)

Computational models at different space-time scales allow us to understand the fundamental mechanisms that govern neural processes and relate uniquely these processes to neuroscience data. In this work, we propose a novel neurocomputational unit (a mesoscopic model which tell us about the interaction between local cortical nodes in a large scale neural mass model) of bursters that qualitatively...

Computational models of spatial representations

Weber, Simon Nikolaus (2019)

Our sense of location depends on a structure deep within the brain called the hippocampal formation, and on its neighbor, the parahippocampal region. Studies in rodents have shown that these brain areas contain different types of neurons that help the animal to work out where it is. The activity of those neurons is modulated by the trajectory of the animal, and this modulation varies among cell...

Revisiting the interplay of inter-domain traffic and routing policies

Krenc, Thomas (2019)

The Internet started out – with the inception of ARPANET in the 1960s, followed by NSFNET in 1986 – as a government-funded academic research network interconnecting universities and research facilities. Just a few years later, the World Wide Web was invented, and the first commercial service providers emerged. During the transition phase from a research to a commercial-purpose network, most of ...

Coscheduling in the multicore era

Schönherr, Jan H. (2019)

In its most general definition, coscheduling refers to a deliberate simultaneous execution of certain tasks on multiple CPUs. The concepts of coscheduling and gang scheduling have been introduced in the early eighties and nineties, respectively. At that time, the first massively parallel systems were developed and became more widely used. The guarantee of simultaneous execution of certain task...

Improving the analysis of near-infrared spectroscopy data with multivariate classification of hemodynamic patterns: a theoretical formulation and validation

Gemignani, Jessica ; Middell, Eike ; Barbour, Randall L. ; Graber, Harry L. ; Blankertz, Benjamin (2018-05-09)

Objective. The statistical analysis of functional near infrared spectroscopy (fNIRS) data based on the general linear model (GLM) is often made difficult by serial correlations, high inter-subject variability of the hemodynamic response, and the presence of motion artifacts. In this work we propose to extract information on the pattern of hemodynamic activations without using any a priori model...

Virtual network embeddings: Theoretical foundations and provably good algorithms

Rost, Matthias Johannes (2019)

Virtualization and resource isolation techniques have enabled the efficient sharing of networked resources both inside and across data centers. To guarantee reliable performance for all tenants, while efficiently sharing the available resources, novel resource allocation problems have arisen. Specifically, the core problem, coined the Virtual Network Embedding Problem (VNEP), asks for the embed...

Optimizing end-to-end machine learning pipelines for model training

Kunft, Andreas (2019)

Modern data analysis programs often consist of complex operations. They combine multiple heterogeneous data sources, perform data cleaning and feature transformations, and apply machine learning algorithms to train models on the preprocessed data. Existing systems can execute such end-to-end training pipelines. However, they face unique challenges in their applicability to large scale data. In ...

Einfluss der Lichteinfallsrichtung auf die akute Aufmerksamkeit

Broszio, Kai ; Knoop, Martine ; Völker, Stephan (2019-04-03)

Einer der Gründe für die bisher oft divergenten Forschungsergebnisse im Bereich nicht-visueller Wirkungen des Lichts auf den Menschen könnte in der meist unzureichenden Beschreibung der genutzten Lichtsituation liegen. Oft wird die Intensität des Stimulus mit der vertikalen Beleuchtungsstärke am Auge beschrieben. Forschungsergebnisse deuten darauf hin, dass die Sensitivität von intrinsischphoto...

Formal Verification of Low-Level Code in a Model-Based Refinement Process (Technical Report: Isabelle/HOL formalization)

Berg, Nils ; Bartels, Björn ; Danziger, Armin ; Grochau Azzi, Guilherme ; Bentert, Matthias (2019-09)

This is the technical report for the Isabelle/HOL formalization accompanying the dissertation of Nils Berg. For explanations with regard to content please refer to the dissertation. The intention of this document is to give a mapping from the formalization in the dissertation to the formalization in Isabelle/HOL. Formalized are the parts where user interaction is required, i.e., the first part ...

Automated Anomaly Detection in Virtualized Services Using Deep Packet Inspection

Wallschläger, Marcel ; Gulenko, Anton ; Schmidt, Florian ; Kao, Odej ; Liu, Feng (2017)

Virtualization technologies have proven to be important drivers for the fast and cost-efficient development and deployment of services. While the benefits are tremendous, there are many challenges to be faced when developing or porting services to virtualized infrastructure. Especially critical applications like Virtualized Network Functions must meet high requirements in terms of reliability a...