Fak. 4 Elektrotechnik und Informatik

1316 Items

Recent Submissions
Approximating Memory-bound Applications on Mobile GPUs

Maier, Daniel ; Mammeri, Nadjib ; Cosenza, Biagio ; Juurlink, Ben (2019)

Approximate computing techniques are often used to improve the performance of applications that can tolerate some amount of impurity in the calculations or data. In the context of embedded and mobile systems, a broad number of applications have exploited approximation techniques to improve performance and overcome the limited capabilities of the hardware. On such systems, even small performance...

Efficient learning machines

Alber, Maximilian (2019)

Science is in a constant state of evolution. There is a permanent quest for advancing knowledge in the light of changing capabilities and matters. The field of Machine Learning itself is shaped by the ever-increasing amount of data and computing power, creating new challenges as well as paving the way for new opportunities. This thesis is on adapting learning-based machines to these emerging pr...

Konzeption eines MOOC der TU9 zum Thema Communication Acoustics

Möller, Sebastian ; Ahrens, Jens ; Altinsoy, Ercan ; Fels, Janina ; Müller, Gerhard ; Reimers, Gabriel ; Seeber, Bernhard ; Vorländer, Michael ; Weinzierl, Stefan (2016)


Implementation and Evaluation of Activity-Based Congestion Management Using P4 (P4-ABC)

Menth, Michael ; Mostafaei, Habib ; Merling, Daniel ; Häberle, Marco (2019-07-19)

Activity-Based Congestion management (ABC) is a novel domain-based QoS mechanism providing more fairness among customers on bottleneck links. It avoids per-flow or per-customer states in the core network and is suitable for application in future 5G networks. However, ABC cannot be configured on standard devices. P4 is a novel programmable data plane specification which allows defining new heade...

Empowering the Internet of Vehicles with Multi-RAT 5G Network Slicing

Sanchez-Iborra, Ramon ; Santa, José ; Gallego-Madrid, Jorge ; Covaci, Stefan ; Skarmeta, Antonio (2019-07-13)

Internet of Vehicles (IoV) is a hot research niche exploiting the synergy between Cooperative Intelligent Transportation Systems (C-ITS) and the Internet of Things (IoT), which can greatly benefit of the upcoming development of 5G technologies. The variety of end-devices, applications, and Radio Access Technologies (RATs) in IoV calls for new networking schemes that assure the Quality of Servic...

On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface

Choi, Soo-In ; Han, Chang-Hee ; Choi, Ga-Young ; Shin, Jaeyoung ; Song, Kwang Soup ; Im, Chang-Hwan ; Hwang, Han-Jeong (2018-08-29)

Brain-computer interface (BCI) studies based on electroencephalography (EEG) measured around the ears (ear-EEGs) have mostly used exogenous paradigms involving brain activity evoked by external stimuli. The objective of this study is to investigate the feasibility of ear-EEGs for development of an endogenous BCI system that uses self-modulated brain activity. We performed preliminary and main e...

Robust Biometric Authentication from an Information Theoretic Perspective

Grigorescu, Andrea ; Boche, Holger ; Schaefer, Rafael F. (2017-09-09)

Robust biometric authentication is studied from an information theoretic perspective. Compound sources are used to account for uncertainty in the knowledge of the source statistics and are further used to model certain attack classes. It is shown that authentication is robust against source uncertainty and a special class of attacks under the strong secrecy condition. A single-letter characteri...

Broadband concepts for high efficiency microwave power amplifiers using Gallium nitride technology

Arnous, Mohammed Tareq (2019)

Power amplifier units are the most important components in mobile radio base stations (RBSs). Their performance affects the overall performance of the base station in terms of output power and efficiency. A special high interest is the combination of high efficiency and wide bandwidth. This dissertation is dedicated to this central problem. First, the design and characterization of a single-end...

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

Mammeri, Nadjib ; Juurlink, Ben (2018-12-13)

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 ...

Artificial Noise-Aided Physical Layer Security in Underlay Cognitive Massive MIMO Systems with Pilot Contamination

Al-Hraishawi, Hayder ; Baduge, Gayan Amarasuriya Aruma ; Schaefer, Rafael F. (2017-07-10)

In this paper, a secure communication model for cognitive multi-user massive multiple-input multiple-output (MIMO) systems with underlay spectrum sharing is investigated. A secondary (cognitive) multi-user massive MIMO system is operated by using underlay spectrum sharing within a primary (licensed) multi-user massive MIMO system. A passive multi-antenna eavesdropper is assumed to be eavesdropp...

Co-Clustering under the Maximum Norm

Bulteau, Laurent ; Froese, Vincent ; Hartung, Sepp ; Niedermeier, Rolf (2016-02-25)

Co-clustering, that is partitioning a numerical matrix into “homogeneous” submatrices, has many applications ranging from bioinformatics to election analysis. Many interesting variants of co-clustering are NP-hard. We focus on the basic variant of co-clustering where the homogeneity of a submatrix is defined in terms of minimizing the maximum distance between two entries. In this context, we sp...

Finding Supported Paths in Heterogeneous Networks

Fertin, Guillaume ; Komusiewicz, Christian ; Mohamed-Babou, Hafedh ; Rusu, Irena (2015-10-09)

Subnetwork mining is an essential issue in the analysis of biological, social and communication networks. Recent applications require the simultaneous mining of several networks on the same or a similar vertex set. That is, one searches for subnetworks fulfilling different properties in each input network. We study the case that the input consists of a directed graph D and an undirected graph G...

Predicting How to Test Requirements: An Automated Approach

Winkler, Jonas Paul ; Grönberg, Jannis ; Vogelsang, Andreas (2019)

[Context] An important task in requirements engineering is to identify and determine how to verify a requirement (e.g., by manual review, testing, or simulation; also called potential verification method). This information is required to effectively create test cases and verification plans for requirements. [Objective] In this paper, we propose an automatic approach to classify natural language...

Optimizing for Recall in Automatic Requirements Classification: An Empirical Study

Winkler, Jonas Paul ; Grönberg, Jannis ; Vogelsang, Andreas (2019)

Using Machine Learning to solve requirements engineering problems can be a tricky task. Even though certain algorithms have exceptional performance, their recall is usually below 100%. One key aspect in the implementation of machine learning tools is the balance between recall and precision. Tools that do not find all correct answers may be considered useless. However, some tasks are very com...

Extraction of System States from Natural Language Requirements

Pudlitz, Florian ; Brokhausen, Florian ; Vogelsang, Andreas (2019)

In recent years, simulations have proven to be an important means to verify the behavior of complex software systems. The different states of a system are monitored in the simulations and are compared against the requirements specification. So far, system states in natural language requirements cannot be automatically linked to signals from the simulation. However, the manual mapping between re...

Enhanced Rate Control for Wireless Reliable Multicast (EWRiM)

Geithner, Thomas (2019-06-19)

While the concept of multicast communication offers a scalable and efficient method for many classes of applications in general, its potential remains largely unexploited when it comes to 802.11 networks. The fundamental lacking feature for this is a transmission rate control mechanism that offers higher transmission performance and lower channel utilization. Another challenging aspect is ensur...

Strain sensor placement evaluation

Wall, Vincent ; Zöller, Gabriel ; Brock, Oliver (2019-05)

This dataset contains sensor data acquired (pressure, strain, and Motion Capture data) of PneuFlex with various sensor layouts.

Soft hand teleoperation

Erdogan, Can ; Schröder, Armin ; Eppner, Clemens ; Brock, Oliver (2019-05)

The dataset consists of rosbags that contain the cyber-glove and force-torque sensor data of teleoperation experiments.

Stiffness control by cocontraction

Höppner, Hannes (2019-05)

The dataset provides data on the coupling between force and stiffness during pinch-grasping by humans, and the possibility to decouple the coupling by cocontraction. The dataset contains motion tracking data, grip force data and muscle contraction measurements.

RBO Hand 2 simulation model

Pozzi, Maria ; Miguel, Eder ; Deimel, Raphael ; Malvezzi, Monica ; Bickel, Bernd ; Brock, Oliver ; Prattichizzo, Domenico (2019-05)

This dataset contains readily usable FEM models and code for simulating a single PneuFlex actuator, which is used in the RBO Hands.