Fakultät 4 Elektrotechnik und Informatik

996 Items

Recent Submissions
Four wave mixing at 1550 nm in silicon waveguides

Gajda, Andrzej (2017)

Traffic in data communication networks has seen continuous growth over many decades. Taking the example of transport networks we observe a growth rate of about 60% per year in capacity. The increase in traffic is supported by various technologies but mainly driven by applications related to social media, moving images, internet of things etc. An important contender for future increase of fiber ...

Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing

Hwang, Han-Jeong ; Hahne, Janne Mathias ; Müller, Klaus-Robert (2017)

There are some practical factors, such as arm position change and donning/doffing, which prevent robust myoelectric control. The objective of this study is to precisely characterize the impacts of the two representative factors on myoelectric controllability in practical control situations, thereby providing useful references that can be potentially used to find better solutions for clinically ...

Learning from label proportions in brain-computer interfaces

Hübner, David ; Verhoeven, Thibault ; Schmid, Konstantin ; Müller, Klaus-Robert ; Tangermann, Michael ; Kindermans, Pieter-Jan (2017)

Objective Using traditional approaches, a brain-computer interface (BCI) requires the collection of calibration data for new subjects prior to online use. Calibration time can be reduced or eliminated e.g., by subject-to-subject transfer of a pre-trained classifier or unsupervised adaptive classification methods which learn from scratch and adapt over time. While such heuristics work well in p...

Universal exact algorithm for globally augmented MAP inference in structured prediction

Bauer, Alexander (2017)

The ultimate goal of discriminative learning is to train a prediction system by optimizing a desired measure of performance. Unlike in the standard learning scenario with univariate real-valued outputs, in structured prediction we aim at predicting a structured label corresponding to complex objects such as sequences, alignments, sets, or graphs. Here, structural support vector machine (SSVM) e...

Filling disocclusions in extrapolated virtual views using advanced texture synthesis methods

Koeppel, Martin (2017)

Stereoscopic Three Dimensional (3-D) video technologies have been established in the mainstream. Many cinemas already show movies in 3-D. Due to the higher visual information, 3-D video technology is increasingly used in other application areas, e.g. medical and logistical applications. However, the need to wear additional glasses to create a 3-D impression for the viewer is regarded as a major...

Micro-integrated diode laser modules for quantum optical sensors in space

Kohfeldt, Anja (2017)

Quantum sensors are rely on laser technology for preparation and for manipulation of their quantum probes. With the endeavour of operating quantum sensors in micro-gravity in order to gain measurement precision, laser technology has to be developed further to meet the new requirements. In addition to high frequency stability at specific wavelengths and sufficient optical output power, the laser...

Visualization-driven data aggregation

Jugel, Uwe (2017)

Visual analysis of high-volume numerical data is traditionally required for understanding sensor data in manufacturing and engineering scenarios. Today, the visual analysis of any kind of big data has become ubiquitous and is a most-wanted feature for data analysis tools. It is vital for commerce, finance, sales, and an ever-growing number of industries, whose data are traditionally stored in r...

Elastic and dynamic orchestration of service function chains for 5G networks

Hassan, Ahmed Mohamed Medhat Mohamed Ahmed (2017)

As the telecommunication community moves towards the 5th Generation Mobile Networks (5G), Softwarized Networks are leading the way to a radical development in the Network Operators' infrastructures. New emerging technologies such as Network Function Virtualization (NFV) and Software-Defined Networking (SDN) are the key enablers for managing on-demand resources in softwarized networks. Focusing ...

Eine Methodik zur Entwicklung von Multiagenten-Systemen auf Basis von Geschäftsprozess-Modellen

Küster, Tobias (2017)

Seit vielen Jahren werden Multiagenten-Systeme als Abstraktion für komplexe und verteilte Softwaresysteme eingesetzt, und durch ihren Einsatz können zahlreiche Abläufe auf verständliche und intuitive Art und Weise dargestellt werden. Grundlegende Probleme verteilter Softwaresysteme bleiben jedoch oft bestehen: Der Entwickler sieht immer nur einen Teil des Programmcodes, nur eine Seite der Inter...

Measurement, characterization and modeling of millimeter-wave channels

Peter, Michael (2017)

Wireless communication and networking have become an important part of our daily lives. New standards and devices promise higher data rates, lower latency and higher reliability. However, there is consensus that the currently used frequency bands below 6 GHz will be insufficient to meet rate requirements of future applications and the growing number of devices. Therefore, the use of frequency r...

Secure remote service execution for web media streaming

Mikityuk, Alexandra (2017)

Through continuous advancements in streaming and Web technologies over the past decade, the Web has become a platform for media delivery. Web standards like HTML5 have been designed accordingly, allowing for the delivery of applications, high-quality streaming video, and hooks for interoperable content protection. Efficient video encoding algorithms such as AVC/HEVC and streaming protocols ...

Structural graph theory meets algorithms: covering and connectivity problems in graphs

Akhoondian Amiri, Saeed (2017)

Structural graph theory proved itself a valuable tool for designing efficient algorithms for hard problems over recent decades. We exploit structural graph theory to provide novel techniques and algorithms for covering and connectivity problems. First, we focus on the Local model of distributed computing. In the Local model, minimizing the number of communication rounds is the main goal. We ex...

Radio over fibre techniques for backhaul and fronthaul

Gomes dos Santos, Jessé (2017)

The 5th generation of the mobile network, foreseen to work commercially from 2020, promises to offer significant improvements when compared to previous mobile generations. Among these advances, the minimum experienced user throughput in uplink 50 [Mbps] and downlink 100 [Mbps] stands out. Such new requirements will lead to an exponential growth of aggregation network traffic. To address such th...

REBECA – eine autonome Publish/Subscribe Middleware

Parzyjegla, Helge ; Graff, Daniel ; Schröter, Arnd ; Schepeljanski, Alexej ; Busse, Anselm ; Richling, Jan ; Werner, Matthias (2011)


A framework for automated identification of attack scenarios on it infrastructures

Camtepe, Seyit Ahmet ; Bsufka, Karsten ; Hennig, Leonhard ; Simsek, Cihan ; Albayrak, Sahin (2012)

Due to increased complexity, scale, and functionality of information and telecommunication (IT) infrastructures, everyday new exploits and vulnerabilities are discovered. These vulnerabilities are most of the time used by malicious people to penetrate these IT infrastructures for mainly disruptingbusiness or stealing intellectual properties. Current incidents prove that it is not sufficient any...

Integrated microwave biosensors on SiGe BiCMOS technology: a “More Than Moore” approach

Guha, Subhajit (2017)

There has been an ever increasing demand for the establishment of Point-of-Care testing systems for rapid detection and diagnosis of diseases and as well for monitoring vital health parameters. The development in the area of microfluidic systems as well as microsystem technology as a whole gave birth to new avenue of research called the Lab-on-a-chip devices, which are an essential part of poin...

Amplifier design for EMG recording from stimulation electrodes during functional electrical stimulation leg cycling ergometry

Shalaby, Raafat ; Schauer, Thomas ; Liedecke, Wolfgang ; Raisch, Jörg (2011)

Functional electrical stimulation leg cycle ergometry (FESLCE), which is often used as exercise for people with spinal cord injury (SCI), has recently been applied in the motor rehabilitation of stroke patients. Recently completed studies show controversial results, but with a tendency to positive training effects. Current technology is identical to that used in FES-LCE for SCI, whereas the pat...

Recent advances in modeling and analysis of bioelectric and biomagnetic sources

Sander, Tilmann H. ; Knösche, Thomas R. ; Schlögl, Alois ; Kohl, Florian ; Wolters, Carsten H. ; Haueisen, Jens ; Trahms, Lutz (2010)

Determining the centers of electrical activity in the human body and the connectivity between different centers of activity in the brain is an active area of research. To understand brain function and the nature of cardiovascular diseases requires sophisticated methods applicable to non-invasively measured bioelectric and biomagnetic data. As it is difficult to solve for all unknown parameters ...

Zero training for BCI – Reality for BCI systems based on event-related potentials

Tangermann, Michael ; Kindermans, Pieter-Jan ; Schreuder, Martijn ; Schrauwen, Benjamin ; Müller, Klaus-Robert (2013)

This contribution reviews how usability in Brain- Computer Interfaces (BCI) can be enhanced. As an example, an unsupervised signal processing approach is presented, which tackles usability by an algorithmic improvement from the field of machine learning. The approach completely omits the necessity of a calibration recording for BCIs based on event-related potential (ERP) paradigms. The positive...

The hybrid brain-computer interface: a bridge to assistive technology?

Müller-Putz, Gernot R. ; Schreuder, Martijn ; Tangermann, Michael ; Leeb, R. ; Millán del, R. J. (2013)

Brain-Computer Interfaces (BCIs) can be extended by other input signals to form a so-called hybrid BCI (hBCI). Such an hBCI allows the processing of several input signals with at least one brain signal for control purposes, i.e. communication and environmental control. This work shows the principle, technology and application of hBCIs and discusses future objectives.