Fak. 4 Elektrotechnik und Informatik

1515 Items

Recent Submissions
Hamiltonian datasets: "Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions""

Schütt, Kristof T. ; Gastegger, Michael ; Tkatchenko, Alexandre ; Müller, Klaus-Robert ; Maurer, Reinhard J. (2019-09-25)

Machine learning advances chemistry and materials science by enabling large-scale exploration of chemical space based on quantum chemical calculations. While these models supply fast and accurate predictions of atomistic chemical properties, they do not explicitly capture the electronic degrees of freedom of a molecule, which limits their applicability for reactive chemistry and chemical analys...

A Quantitative Study of Locality in GPU Caches

Lal, Sohan ; Juurlink, Ben (2020)

Traditionally, GPUs only had programmer-managed caches. The advent of hardware-managed caches accelerated the use of GPUs for general-purpose computing. However, as GPU caches are shared by thousands of threads, they are usually a victim of contention and can suffer from thrashing and high miss rate, in particular, for memory-divergent workloads. As data locality is crucial for performance, the...

Development of metal oxide thin films as carrier selective contacts for silicon heterojunction solar cells

Chistiakova, Ganna (2020)

The main focus of this thesis is on metal oxide layers and their possible implementation as carrier selective contacts in silicon heterojunction (SHJ) solar cells. The dominant topics in this work are the development of deposition processes for such metal oxide layers and their further analysis, covering layer composition, layer properties and their interface with perovskite, crystalline silico...

Similarity encoder: A neural network architecture for learning similarity preserving embeddings

Horn, Franziska (2020)

Matrix factorization is at the heart of many machine learning algorithms, for example, for dimensionality reduction (e.g. kernel PCA) or recommender systems relying on collaborative filtering. Understanding a singular value decomposition (SVD) of a matrix as a neural network optimization problem enables us to decompose large matrices efficiently while dealing naturally with missing values in th...

Access control for M2M infrastructures in 5G networks

Corici, Andreea Ancuta (2020)

In telecommunication sector, the term Access Control (AC) was defined in the standard from 1997 and included multiple meanings, one of which is used in this context: Access Control is the function performed by the resource controller that allocates system resources in order to satisfy (user) requests. In this context, the resources are: (i) Internet Protocol (IP) (RFC0791) connectivity from a ...

Geocoding user queries

Clemens, Konstantin (2020)

While human users refer to locations using toponyms and addresses, computers rely on latitude and longitude coordinates, or similar, numerical encoding of location information. Geocoding is the process of resolving such toponyms and addresses into machine-friendly numerical encoding. Thus, wherever human users need to specify a location to a computer, geocoding is involved. The process, thereby...

Corona Twitter Dataset: 16 February 2020 - 03 March 2020

Brandl, Stephanie ; Lassner, David (2020)

For this dataset we have downloaded 22376075 tweets in 64 languages from 16 February until 03 March 2020. We used the following keywords: CORONA, CORONAVIRUS and #COVID-19.

BCI under distraction: Motor imagery in a pseudo realistic environment

Brandl, Stephanie (2015)

With the aim to investigate BCI in a pseudo-realistic environment, we recorded EEG from 16 healthy participants. Participants were asked to perform motor imagery tasks while dealing with different types of distractions such as vibratory stimulations or listening tasks.

Brain-Switches for Asynchronous Brain−Computer Interfaces: A Systematic Review

Han, Chang-Hee ; Müller, Klaus-Robert ; Hwang, Han-Jeong (2020-03-02)

A brain–computer interface (BCI) has been extensively studied to develop a novel communication system for disabled people using their brain activities. An asynchronous BCI system is more realistic and practical than a synchronous BCI system, in that, BCI commands can be generated whenever the user wants. However, the relatively low performance of an asynchronous BCI system is problematic becaus...

Volcanic Hot-Spot Detection Using SENTINEL-2: A Comparison with MODIS−MIROVA Thermal Data Series

Massimetti, Francesco ; Coppola, Diego ; Laiolo, Marco ; Valade, Sébastien ; Cigolini, Corrado ; Ripepe, Maurizio (2020-03-03)

In the satellite thermal remote sensing, the new generation of sensors with high-spatial resolution SWIR data open the door to an improved constraining of thermal phenomena related to volcanic processes, with strong implications for monitoring applications. In this paper, we describe a new hot-spot detection algorithm developed for SENTINEL-2/MSI data that combines spectral indices on the SWIR ...

Robust sound event detection in binaural computational auditory scene analysis

Trowitzsch, Ivo (2020)

Automatic sound event detection and computational auditory scene analysis gain importance through the increasing prevalence of technical systems operating autonomously or in the background, since such operation requires awareness of the system's environment. In realistic scenes, reliable sound event detection, despite the big improvements of the related automatic speech recognition, still pose...

What Am I Testing and Where? Comparing Testing Procedures based on Lightweight Requirements Annotations

Pudlitz, Florian ; Brokhausen, Florian ; Vogelsang, Andreas (2020-05-06)

[Context] The testing of software-intensive systems is performed in different test stages each having a large number of test cases. These test cases are commonly derived from requirements. Each test stages exhibits specific demands and constraints with respect to their degree of detail and what can be tested. Therefore, specific test suites are defined for each test stage. In this paper, the fo...

Friction and Wear Monitoring Methods for Journal Bearings of Geared Turbofans Based on Acoustic Emission Signals and Machine Learning

Mokhtari, Noushin ; Pelham, Jonathan Gerald ; Nowoisky, Sebastian ; Bote-Garcia, José-Luis ; Gühmann, Clemens (2020-03-07)

In this work, effective methods for monitoring friction and wear of journal bearings integrated in future UltraFan® jet engines containing a gearbox are presented. These methods are based on machine learning algorithms applied to Acoustic Emission (AE) signals. The three friction states: dry (boundary), mixed, and fluid friction of journal bearings are classified by pre-processing the AE signal...

Overcoming Bandwidth Limitations in Wireless Sensor Networks by Exploitation of Cyclic Signal Patterns: An Event-triggered Learning Approach

Beuchert, Jonas ; Solowjow, Friedrich ; Trimpe, Sebastian ; Seel, Thomas (2020-01-02)

Wireless sensor networks are used in a wide range of applications, many of which require real-time transmission of the measurements. Bandwidth limitations result in limitations on the sampling frequency and number of sensors. This problem can be addressed by reducing the communication load via data compression and event-based communication approaches. The present paper focuses on the class of a...

Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective

von Lühmann, Alexander ; Ortega-Martinez, Antonio ; Boas, David A. ; Yücel, Meryem Ayşe (2020-02-18)

Within a decade, single trial analysis of functional Near Infrared Spectroscopy (fNIRS) signals has gained significant momentum, and fNIRS joined the set of modalities frequently used for active and passive Brain Computer Interfaces (BCI). A great variety of methods for feature extraction and classification have been explored using state-of-the-art Machine Learning methods. In contrast, signal ...

Effizienzuntersuchung einer weich- und hartschaltenden Konverterstruktur mit Siliziumkarbid-Halbleitern als DC/DC-Wandler für Hybrid- und Elektrofahrzeuge

Böh, Magnus (2020)

Eine Möglichkeit der Effizienzsteigerung bei EV und HEV ist der Einsatz eines DC/DC-Wandlers, der zwischen der Traktionsbatterie und dem DC-Link eingesetzt wird und somit eine variable DC-Link Spannung gewährleistet, die der Motorenspannung angepasst wird. Dem Effizienzgewinn in den Antriebsumrichtern und den Motoren stehen jedoch die Verlustleistungen im DC/DC-Wandler entgegen, sodass das zus...

How Do Induced Affective States Bias Emotional Contagion to Faces? A Three-Dimensional Model

Pinilla, Andrés ; Tamayo, Ricardo M. ; Neira, Jorge (2020-01-31)

Affective states can propagate in a group of people and influence their ability to judge others’ affective states. In the present paper, we present a simple mathematical model to describe this process in a three-dimensional affective space. We obtained data from 67 participants randomly assigned to two experimental groups. Participants watched either an upsetting or uplifting video previously c...

Vibrational dynamics in lead halide hybrid perovskites investigated by Raman spectroscopy

Ibaceta-Jaña, Josefa ; Muydinov, Ruslan ; Rosado, Pamela ; Mirhosseini, Hossein ; Chugh, Manjusha ; Nazarenko, Olga ; Dirin, Dmitry N. ; Heinrich, Dirk ; Wagner, Markus R. ; Kühne, Thomas D. ; Szyszka, Bernd ; Kovalenko, Maksym V. ; Hoffmann, Axel (2020-02-26)

Lead halide perovskite semiconductors providing record efficiencies of solar cells have usually mixed compositions doped in A- and X-sites to enhance the phase stability. The cubic form of formamidinium (FA) lead iodide reveals excellent opto-electronic properties but transforms at room temperature (RT) into a hexagonal structure which does not effectively absorb visible light. This metastable ...

Analyse und Optimierung von AlGaN/GaN-HEMTs in der leistungselektronischen Anwendung

Böcker, Jan (2020)

Die Leit- und Schaltverluste eines Leistungshalbleiters haben nach wie vor einen entscheidenden Einfluss auf die Effizienz und die erreichbare Leistungsdichte eines Umrichters. Aktuell zeigen sich AlGaN/GaN-HEMTs vor allem durch ihre hohen Schaltgeschwindigkeiten bei gleichzeitig ausgezeichneten Leiteigenschaften als aussichtsreiche Kandidaten für eine Reduktion dieser Verluste. In dieser Arbei...

Direct device-to-device communications for automotive in future 5G cellular networks

Botsov, Mladen (2020)

Device-to-device (D2D) communication as an underlay to future cellular networks has been recently considered as an efficient cell offloading and capacity increasing solution. As such, it is envisioned to help serve the ever increasing cellular traffic. The gains offered by the D2D paradigm may enable the implementation of additional novel services in such a hybrid system. In particular, the loc...