Fak. 4 Elektrotechnik und Informatik

1196 Items

Recent Submissions
Benchmarking dataflow systems for scalable machine learning

Boden, Christoph (2018)

The popularity of the world wide web and its ubiquitous global online services have led to unprecedented amounts of available data. Novel distributed data processing systems have been developed in order to scale out computations and analysis to such massive data set sizes. These "Big Data Analytics" systems are also popular choices to scale out the execution of machine learning algorithms. Howe...

Dynamische geometrische Konturmodelle zur Segmentierung intravaskulärer Ultraschallbildfolgen für die dreidimensionale Oberflächenrekonstruktion koronarer Gefäßwände

Schmauder, Martin ; Orglmeister, Reinhold ; Volk, D. ; Aldekamp, F. ; Gross, C. M. ; Waigand, J. (1998)

Im folgenden wird eine neue Methode zur Bestimmung der inneren und äußeren Gefäßwandkontur (Intima und Media) auf der Basis sagittaler IVUS-Schnittbilder vorgestellt. Die Konturen bilden die Grundlage für die dreidimensionale Rekonstruktion der Oberfläche unter Verwendung eines eigenentwickelten Systems zur SD-Darstellung intravaskulärer tomographischer Datensätze.

Ein implantierbares Telemetriesystem zur Impedanzspektroskopie

Seeger, A. ; Kertzscher, U. ; Gerhäußer, A. ; Krause, F. ; Sommer, G. ; Kolupa, J. ; Schäfer, H. ; Arnold, R. ; Affeld, K. ; Schaldach, M. ; Scheel, W. ; Orglmeister, Reinhold ; Manck, Otto (1998)

Die kontinuierliche Überwachung des intrakorporalen Zustandes von Geweben beispielsweise zur Erkennung ischämischer Vorgänge nach gefäßchirurgischen Eingriffen oder im Rahmen der Rejektionsdiagnostik läßt sich durch bisher vorhandene Meßsysteme nur bedingt erreichen. Speziell die direkte Erfassung sensitiver Gewebeparameter über einen längeren Zeitraum ohne Belastung für den Patienten stellt...

Geregelter Meßplatz für Sensoren zur invasiven Blutdruckmessung

El-Natsheh, N. ; Zerle, S. ; Köhler, B. ; Orglmeister, Reinhold (1998)

Der im vorliegenden Artikel vorgestellte neuartige Simulator ist ein kompletter Meßplatz für die Prüfung der gesamten Blutdruckmeßkette entsprechend den AAMI-Spezifikationen für alle gängigen medizinischen Drucksensoren. Mit Hilfe einer mikrocontrollergesteuerten Einheit werden gespeicherte technische Solldruckkurven einstellbarer Amplitude und Frequenz sowie physiologische Druckverläufe erzeug...

Segmentierungsbasierte Bewegungsschätzung in Ultraschallbildern

Reise, F. ; Rothlübbers, C. ; Orglmeister, Reinhold (1998)

Ein neuer Ansatz zur Verbesserung der Bewegungsschätzung in Ultraschallbildern des menschlichen Herzens wird vorgestellt. Der Ansatz nutzt den Optischen Fluß zur Bewegungsschätzung und bestimmt relevante Bildbereiche über eine Segmentierung auf Basis der Skalierungs-lndex-Methode. Vergleiche der Ergebnisse dieses Ansatzes mit den Ergebnissen konventioneller Ansätze zeigen eine deutliche Verbess...

Geofences on the Blockchain: Enabling Decentralized Location-based Services

Victor, Friedhelm ; Zickau, Sebastian (2018)

A decentralized ride- or carsharing application is among the early proposals of what smart contracts on blockchains may enable in the future. To facilitate use cases in the field of location-based services (LBS), smart contracts need to receive trustworthy positioning information, and be able to process them. We propose an approach on how geofences can be defined in smart contracts, and how sup...

Enabling GPU software developers to optimize their applications – The LPGPU2approach

Juurlink, Ben ; Lucas, Jan ; Mammeri, Nadjib ; Keramidas, Georgios ; Pontzolkova, Katerina ; Aransay, Ignacio ; Kokkala, Chrysa ; Bliss, Martyn ; Richards, Andrew (2017)

Low-power GPUs have become ubiquitous, they can be found in domains ranging from wearable and mobile computing to automotive systems. With this ubiquity has come a wider range of applications exploiting low-power GPUs, placing ever increasing demands on the expected performance and power efficiency of the devices. The LPGPU 2 project is an EU-funded, Innovation Action, 30-month-project targetin...

Highly parallel HEVC decoding for heterogeneous systems with CPU and GPU

Wang, Biao ; de Souza, Diego F. ; Álvarez-Mesa, Mauricio ; Chi, Chi Ching ; Juurlink, Ben ; Ilic, Aleksandar ; Roma, Nuno ; Sousa, Leonel (2017)

The High Efficiency Video Coding HEVC standard provides a higher compression efficiency than other video coding standards but at the cost of an increased computational load, which makes hard to achieve real-time encoding/decoding for ultra high-resolution and high-quality video sequences. Graphics Processing Units GPU are known to provide massive processing capability for highly parallel and re...

Highly Parallel HEVC Decoding for Heterogeneous Systems with CPU and GPU - Research Data

Wang, Biao ; Felix de Souza, Diego ; Alvarez-Mesa, Mauricio ; Chi, Chi Ching ; Juurlink, Ben ; Ilic, Aleksandar ; Nuno Roma, Nuno ; Sousa, Leonel (2017)

The High Efficiency Video Coding (HEVC) standard provides a higher compression efficiency than other video coding standards but at the cost of an increased computational load, which makes hard to achieve real-time encoding/decoding for ultra high-resolution and high-quality video sequences. Graphics Processing Units (GPUs) are known to provide massive processing capability for highly parallel a...

Optimal DC/AC Data Bus Inversion Coding

Lucas, Jan ; Lal, Sohan ; Juurlink, Ben (2018-10-29)

GDDR5 and DDR4 memories use data bus inversion (DBI) coding to reduce termination power and decrease the number of output transitions. Two main strategies exist for encoding data using DBI: DBI DC minimizes the number of outputs transmitting a zero, while DBI AC minimizes the number of signal transitions. We show that neither of these strategies is optimal and reduction of interface power of up...

VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs

Mammeri, Nadjib (2018-09-30)

GPUs have become immensely important computational units on embedded and mobile devices. However, GPGPU developers are often not able to exploit the compute power offered by GPUs on these devices mainly due to the lack of support of traditional programming models such as CUDA and OpenCL. The recent introduction of the Vulkan API provides a new programming model that could be explored for GPGPU ...

V2X communication in heterogeneous networks

Protzmann, Robert (2018)

Future intelligent transport systems will be based on digital networking of vehicles and infrastructure for mutual information exchange. This will enable many new applications to increase traffic safety and efficiency as well as new comfort services. How digital networking should look in concrete terms is now being researched from different directions. The basis will be wireless communication s...

Formal verification of model refactorings for hybrid control systems

Schlesinger, Sebastian (2018)

The ever growing complexity in modern embedded systems require to incorporate increasingly many functions into a single system. Such increasing functionality leads to growing design complexity. Model Driven Engineering (MDE) has been proposed to improve the complexity management for development of embedded systems. An industrially widely used technique to reduce the complexity of models and est...

Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines

Laskov, Pavel ; Schäfer, Christin ; Kotenko, Igor ; Müller, Klaus-Robert (2004)

The anomaly detection methods are receiving growing attention in the intrusion detection community. The two main reasons for this are their ability to handle large volumes of unlabeled data and to detect previously unknown attacks. In this contribution we investigate the application of a modern machine learning technique – one-class Support Vector Machines (SVM) – for anomaly detection in unlab...

Self-Management – Potentiale, Probleme, Perspektiven

Herrmann, Klaus ; Mühl, Gero ; Geihs, Kurt (2004)

Gordon Moores Gesetz vom exponentiellen Wachstum der Transistordichte pro Quadrat-Zoll hat seit 1965 die IT-Industrie geprägt. Mit der damit einhergehenden Explosion der Rechnerleistung wurde die Software immer leistungsfähiger, und man ist dazu übergegangen, Rechnersysteme zu vernetzen und Anwendungen zu verteilen. Eine Folge dieser Entwicklungen ist die rapide zunehmende Komplexität der moder...

A Neural Network Model for the Self-Organization of Cortical Grating Cells

Bauer, Christoph ; Burger, Thomas ; Stetter, Martin ; Lang, Elmar W. (2000)

A neural network model with incremental Hebbian learning of afferent and lateral synaptic couplings is proposed,which simulates the activity-dependent self-organization of grating cells in upper layers of striate cortex. These cells, found in areas V1 and V2 of the visual cortex of monkeys, respond vigorously and exclusively to bar gratings of a preferred orientation and periodicity. Response b...

A regularized fusion based 3D reconstruction framework

Rajput, Muhammad Asif Ali (2018)

Recent developments in depth sensing technologies enabled mobile robots to perceive surroundings with high accuracy. Robotic applications, equipped with depth perception technology, enable the capability of autonomous navigation to self-driving cars, assist in critical surgical procedures, or reconstruct the 3D model of a potentially hazardous environment. There exists a variety of 3D sensors r...

An Architecture for a Next Generation VoIP Transmission System

Hoene, Christian ; Clüver, Kai ; Weil, Jan (2007)

Packetized speech transmission systems implemented with Voice over IP are gaining momentum against the traditional circuit switched systems despite the fact that packet switched VoIP is two to three times less efficient than its circuit switched counterpart. At the same time, it only supports a rather bad “toll” quality. We believe that it is time for a new architecture developed from scratch –...

Interdigitated back contact silicon heterojunction solar cells

Stang, Johann-Christoph (2018)

This work follows two routes: the first one explores the efficiency potential of IBC SHJ solar cells built with a rather complex process, the second one shows ways to make this efficiency potential actually industrially accessible by developing an appropriate, simplified manufacturing process. In chapter 4, both manufacturing processes are discussed. In the first part, the established photolit...

Multimodal instrumentation and methods for neurotechnology out of the lab

Lühmann, Alexander von (2018)

In neuroscience and related fields, progress in instrumentation, computational power, and signal processing methods continuously provide novel and increasingly powerful tools toward the investigation of brain activity in real-time and everyday environments. Research into real-life and application-oriented, non-invasive neurotechnology bears a number of multidisciplinary challenges which need to...