Refine
Year of publication
Document Type
- Article (738)
- Part of a Book (265)
- Conference Proceeding (234)
- Contribution to a Periodical (229)
- Book (192)
- Report (65)
- Review (21)
- Other (18)
- Course Material (16)
- Working Paper (13)
Keywords
- Journalismus (10)
- Akkreditierung (7)
- E-Learning (7)
- Juristenausbildung (6)
- Bionik (5)
- Mikroinformatik (5)
- Virtuelle Hochschule (5)
- Wirtschaftsjurist (5)
- Erneuerbare Energien (4)
- Kühllastberechnung (4)
Institute
- Wirtschaftsrecht (698)
- Institut für Internetsicherheit (209)
- Institut für Innovationsforschung und -management (193)
- Wirtschaft und Informationstechnik Bocholt (185)
- Informatik und Kommunikation (115)
- Westfälisches Institut für Gesundheit (103)
- Institut Arbeit und Technik (48)
- Westfälisches Energieinstitut (41)
- Maschinenbau Bocholt (36)
- Wirtschaftsingenieurwesen (34)
Besondere Herausforderung: Weiterbildung. BIM: Einbinden von kleinen und mittelgroßen TGA-Büros
(2019)
Die Digitale Transformation im Bauwesen heißt Building Information Modeling, kurz BIM. Damit die zahlreichen kleinen und mittelständischen Ingenieur- und Planungsbüros hier mithalten können, müssen passende Weiterbildungs- und Einführungskonzepte für BIM geschaffen werden. Der Artikel untersucht die Herausforderungen und Hemmnisse dafür in Deutschland.
Die Sportpresse hat gegenüber anderen Medien einen fundamentalen Aktualitätsnachteil und muss verstärkt als Komplementärmedium agieren, um für ansprechende Inhalte zu sorgen. Fraglich ist neben dem Inhalt jedoch ebenso die Art der Berichterstattung, auf sprachlich-stilistischer und formal-gestalterischer Ebene. Untersucht wird die Berichterstattung (N = 455) der Süddeutschen Zeitung über die Fußball-Europameisterschaften 2000, 2008 und 2016 hinsichtlich eines möglichen Boulevardisierungstrends. Zur Ermittlung eines möglichen Trends wurde ein Boulevardisierungsindex entwickelt. Dem Index kann ein leichter Boulevardisierungstrend für den 16-jährigen Zeitraum entnommen werden. Dabei ist die Berichterstattung besonders zwischen den Jahren 2000 und 2008 boulevardesker geworden. Die Befunde zeigen zudem, dass insgesamt vermehrt auf Boulevardvariablen (z. B. Emotionalisierung) gesetzt wurde, die vor dem Hintergrund journalistischer Qualität als weniger kritisch anzusehen sind.
Musikzeitschriften
(2018)
Rezension zu
- Bäcker, Gerhard; Bispinck, Reinhard; Hofemann, Klaus; Naegele, Gerhard: Sozialpolitik und soziale Lage in der Bundesrepublik Deutschland. Bd. 1., Ökonomische Grundlagen, Einkommen, Arbeit und Arbeitsmarkt, Arbeit und Gesundheitsschutz. 3., grundlegend überarb. und erw. Aufl., Opladen; Wiesbaden: Westdt. Verl. 2000 ISBN 978-3-531-13333-1
- Bäcker, Gerhard; Bispinck, Reinhard; Hofemann, Klaus; Naegele, Gerhard: Sozialpolitik und soziale Lage in der Bundesrepublik Deutschland. Bd. 2., Gesundheit und Gesundheitssystem, Familie, Alter, soziale Dienste. 3., grundlegend überarb. und erw. Aufl., Opladen; Wiesbaden: Westdt. Verl. 2000 ISBN 978-3-531-13334-8
Neuroscientists want to inspect the data their simulations are producing while these are still running. This will on the one hand save them time waiting for results and therefore insight. On the other, it will allow for more efficient use of CPU time if the simulations are being run on supercomputers. If they had access to the data being generated, neuroscientists could monitor it and take counter-actions, e.g., parameter adjustments, should the simulation deviate too much from in-vivo observations or get stuck.
As a first step toward this goal, we devise an in situ pipeline tailored to the neuroscientific use case. It is capable of recording and transferring simulation data to an analysis/visualization process, while the simulation is still running. The developed libraries are made publicly available as open source projects. We provide a proof-of-concept integration, coupling the neuronal simulator NEST to basic 2D and 3D visualization.
In der heutigen Zeit spielen der technologische Fortschnitt und die technologische Innovation eine große Rolle. Immer schneller werden neue Technologien entwickelt und es ist eine Herausforderung auf dem neusten Stand der Technik zu bleiben. Die Blockchain-Technologie ist eine dieser neuen Technologien. Sie ist noch eine sehr junge Technologie und wird stets weiterentwickelt. Die meisten Menschen assoziieren mit dem Begriff „Blockchain“ Bitcoin. Dies ist auch korrekt, da Bitcoin die Geburt der Blockchain-Technologie war. Jedoch hat die Blockchain-Technologie das Potential in vielen weiteren Anwendungsfeldern Fuß zu fassen.
Eines dieser Anwendungsfelder ist auch die Verbesserung des Supply-Chain-Management. Das SCM profitiert seit jeher von den neusten Entwicklungen, sei es im Bereich der Kommunikation oder des Transportes. Jedoch steht das SCM vor immer neuen Herausforderungen. Heutzutage wird eine Vielzahl von Gütern aus dem Ausland und oft von Übersee importiert. Das erschwert für den Kunden oder Käufer den wahren Wert eines Produktes zu erkennen, denn es fehlt oft die Transparenz entlang der gesamten Wertschöpfungskette.
Durch Globalisierung und Import gibt es eine große Anzahl von Kontaktpunkten in der Wertschöpfungskette. Es ist schwer den Ursprung vieler Produkte sowie deren aktuellen Aufenthaltsort zu eruieren. Bei vielen Produkten bleibt der Kunde über deren Herkunft im Unwissenden und kann somit nicht erkennen, ob sie zum Beispiel unter ethisch korrekten Verhältnissen produziert wurden.
Durch die Blockchain-Technologie besteht die Möglichkeit Klarheit in diese Felder zu bringen. Mit ihrer Hilfe kann der gesamte Prozessweg für jedermann offengelegt und verfolgbar gemacht werden. Dies würde das Vertrauen aller Teilnehmer erhöhen und Betrug verringern.
Des Weiteren ist das Bearbeiten von Verträgen und weiteren Dokumenten auf herkömmliche Weise sehr zeitaufwändig und kann das SCM beeinträchtigen. Auch in diesem Bereich bietet die Blockchain-Technologie Lösungsvorschläge an.
Die Blockchain-Technologie hat die Möglichkeit auch außerhalb des SCM Anwendung zu finden. Das Gesundheitswesen ist eines dieser Anwendungsfelder in welchem Implementierungspotential besteht.
Daher ist das Ziel dieser Arbeit eine Einführung in die Blockchain-Technologie und ihren technischen Hintergrund zu gewähren und ihr zukünftiges Potential in ausgesuchten Anwendungsfeldern, mit besonderem Blick auf das SCM, darzustellen. Anhand von ausgewählten Bewertungskriterien eines erfolgreichen SCM wird dargestellt, ob die Blockchain einen festen Platz im SCM finden wird.
This paper presents a novel approach to build consistent 3D maps for multi robot cooperation in USAR environments. The sensor streams from unmanned aerial vehicles (UAVs) and ground robots (UGV) are fused in one consistent map. The UAV camera data are used to generate 3D point clouds that are fused with the 3D point clouds generated by a rolling 2D laser scanner at the UGV. The registration method is based on the matching of corresponding planar segments that are extracted from the point clouds. Based on the registration, an approach for a globally optimized localization is presented. Apart from the structural information of the point clouds, it is important to mention that no further information is required for the localization. Two examples show the performance of the overall registration.
Global registration of heterogeneous ground and aerial mapping data is a challenging task. This is especially difficult in disaster response scenarios when we have no prior information on the environment and cannot assume the regular order of man-made environments or meaningful semantic cues. In this work we extensively evaluate different approaches to globally register UGV generated 3D point-cloud data from LiDAR sensors with UAV generated point-cloud maps from vision sensors. The approaches are realizations of different selections for: a) local features: key-points or segments; b) descriptors: FPFH, SHOT, or ESF; and c) transformation estimations: RANSAC or FGR. Additionally, we compare the results against standard approaches like applying ICP after a good prior transformation has been given. The evaluation criteria include the distance which a UGV needs to travel to successfully localize, the registration error, and the computational cost. In this context, we report our findings on effectively performing the task on two new Search and Rescue datasets. Our results have the potential to help the community take informed decisions when registering point-cloud maps from ground robots to those from aerial robots.
Venice 2018: Tradr Review
(2018)
The video shows an orthopoto and a textured 3D model of the location. 300 images were recorded in two short flights with a Mavic Pro in 50 meter height. The first one was a single grid while the camera facing down and the second one was a double grid facing the camera at an 60 degree angle. The 3D model is computed with OpenDroneMap.
The two churches, San Francesco and Sant'Agostino in Amatrice, Italy was hit by an earthquake on August 24 2016. Both churches are in a state of partial collapse, in need of shoring to prevent potential further destruction and to preserve the national heritage. The video show the mission at 1.Sept.2016 in clips of 10 seconds.
The TRADR project was asked by the Italian firebrigade Vigili del Fuoco to provide 3D textured models of two churches.
The team entered San Francesco with two UGVs (ground robots) and one UAV (drone, flown by Prof. Surmann), teleoperating them entirely out of line of sight and partially in collaboration. We entered Sant'Agostino with one UAV (also flown by Prof. Surmann) while two other UAVs were providing a view from different angles to facilitate maneuvering them entirely out of line of sight.
The video shows a snapshot of a 16 minute flight of a DJI Phantom 3 professional over the Schloss Birlinghoven at Sankt Augustin, Germany. The castle is located at the Fraunhofer Campus at Sankt Augustin. The 3D model is generated out of 400 key frames of the 4k video which are cut out with ffmpeg. The work is part of an evaluation in the Tradr Project (www.tradr-project.eu)
This video shows a model computed from 320 images taken at the Tjex 2015 of the trade project (www.tradr-project.eu). The images were acquired with a falcan 8 drone (AscTec) and reconstruct the structure with VisualSfm software. The flight was in 150 m. The Tower is about 95 meter high.
This video shows a model computed from 124 images taken at the Tjex 2015 of the trade project (www.tradr-project.eu). The images were acquired by walking around the object and reconstruct the structure with VisualSfm software.
E-Mail und die Detektive
(2014)
Update Zollstreit USA-EU
(2018)
Dürfen Kirchen bei kirchlichen Arbeitsplätzen eine Konfessionszugehörigkeit von Bewerbern fordern?
(2018)
Investor und EU-Staat vor Gericht. Der EuGH beschneidet den Einsatz privater Schiedsgerichtsbarkeit
(2018)
A Robust Interface for Head Motion based Control of a Robot Arm using MARG and Visual Sensors
(2018)
Head-controlled human machine interfaces have gained popularity over the past years, especially in the restoration of the autonomy of severely disabled people, like tetraplegics. These interfaces need to be reliable and robust regarding the environmental conditions to guarantee safety of the user and enable a direct interaction between a human and a machine. This paper presents a hybrid MARG and visual sensor system for head orientation estimation which is in this case used to teleoperate a robotic arm. The system contains a Magnetic Angular Rate Gravity (MARG)-sensor and a Tobii eye tracker 4C. A MARG sensor consists of tri-axis accelerometer, gyroscope as well as a magnetometer which enable a complete measurement of orientation relative to the direction of gravity and magnetic field of the earth. The tri-axis magnetometer is sensitive to external magnetic fields which result in incorrect orientation estimation from the sensor fusion process. In this work the Tobii eye tracker 4C is used to increase head orientation estimation because it also features head tracking even though it is commonly used for eye tracking. This type of visual sensor does not suffer magnetic drift. However, it computes orientation data only, if a user is detectable. Within this work a state machine is presented which enables data fusion of the MARG and visual sensor to improve orientation estimation. The fusion of the orientation data of MARG and visual sensors enables a robust interface, which is immune against external magnetic fields. Therefore, it increases the safety of the human machine interaction.
Opportunities and Challenges in Mixed-Reality for an Inclusive Human-Robot Collaboration Environment
(2018)
This paper presents an approach to enhance robot control using Mixed-Reality. It highlights the opportunities and challenges in the interaction design to achieve a Human-Robot Collaborative environment. In fact, Human-Robot Collaboration is the perfect space for social inclusion. It enables people, who suffer severe physical impairments, to interact with the environment by providing them movement control of an external robotic arm. Now, when discussing about robot control it is important to reduce the visual-split that different input and output modalities carry. Therefore, Mixed-Reality is of particular interest when trying to ease communication between humans and robotic systems.
Selbstständig und selbstbestimmt essen und trinken zu können gehört zu den Grundbedürfnissen des Menschen und wird den Aktivitäten des täglichen Lebens (ATLs) zugeordnet. Körperliche Beeinträchtigungen, die mit Funktionsverlusten in Armen, Händen und ggf. der Beweglichkeit des Oberkörpers einhergehen, schränken die selbstständige Nahrungszufuhr erheblich ein. Die Betroffenen sind darauf angewiesen, dass ihnen Getränke und Mahlzeiten zubereitet, bereitgestellt und angereicht werden. Zu dieser Personengruppe gehören Menschen mit querschnittbedingter Tetraplegie, Multiple Sklerose, Muskeldystrophie und Erkrankungen mit ähnlichen Auswirkungen. Derzeit gibt es verschiedene assistive Technologien, die das selbstständige Essen und Trinken wieder ermöglichen sollen.Wie aber muss ein Interaktionsdesign für einen Roboterarm gestaltet sein, damit er von den Betroffenen zur Nahrungsaufnahme genutzt werden kann? Welche Anforderungen gibt es und welche Aspekte sind in Bezug auf die Akzeptanz eines Roboterarms zu berücksichtigen?
Steganography, the art of concealing information in different types of medias, is a very old practice. Yet, it only recently started being used by malware operators on a large scale. Malware programmers and operators are increasing their efforts in developing covert communication channels between infected computers and their command and control servers. In addition to steganography, recent examples include hiding communication in inconspicuous network traffic such as DNS queries or HTTP 404 error messages.
When used properly, these covert communication channels can bypass many automated detection mechanisms and render malware communication difficult to detect and block. From an attacker's perspective, covert communication channels are a valuable addition because they allow messages to blend in with legitimate traffic and thus significantly lower the chance of being detected even when inspected by a human analyst.
This presentation studies recent advances in covert communication channels used by real-world malware. First, we will show how steganography has recently been used in three different malware families (Stegoloader, Vawtrak, and Lurk). We will dive into the implementation details on how steganography is implemented and discuss the strengths and weaknesses of each approach. Furthermore, we will detail and compare the usage of inconspicuous carrier protocols for covert communication channels in malware. Examples will span commodity cybercrime as well as targeted attack malware.
The cases that are discussed in this presentation are based on real life incidents. While it is easy to speculate how covert communication channels might be used by malicious actors, documentation of real-world cases is sparse. Yet covert communication channels have arrived in both, the commodity cybercrime and targeted attack world. It is thus vital to understand the status-quo and identify current trends in cybercriminal and targeted attack malware. As such, we believe that it is mandatory to highlight what is currently being used in the wild.
Auf die Lage kommt es an!
(2018)
Grundwissen Europarecht
(2018)
We report on investigations that illustrate the interaction between the specific immune system and a young avascular tumor growing due to a diffusive nutrient supply. We formulate a hybrid cellular automata-partial differential equation (CA-PDE) model which includes cell cycle dynamics and allows for tracking the spatial and temporal evolution of this elaborate biological system. We present results of two dimensional numerical simulations that, specifically in this work, include special cases of the spherical and papillary tumor growth, the infiltration of immune system cells into the tumor and the escape of tumor cells from the regime of the immune cells.
We report on the suitability of two different ranges of Hounsfield units (HU) in computed tomography (CT) for the quantification of metallic components of active implantable medical devices (AIMD). The conventional Hounsfield units (CHU) range, which is traditionally used in radiology, is well suited for tissue but suspected inappropriate for metallic materials. Precise HU values are notably beneficial in radiotherapy (RT) for accurate dose calculations, thus for the safety of patient carrying implants. Some of today’s CT machines offers an extended Hounsfield units (EHU) range. This study presents CT acquisitions of a water phantom containing various metallic discs and an implantable-cardioverter defibrillator (IPG). We show that the comparison of HU values at EHU and CHU ranges clearly reveals the superiority and accuracy of EHU. Some geometrical discrepancies perpendicular to slices are observed. At EHU metal artifact reduction algorithms (MAR) underestimates HU values rendering MAR potentially inappropriate for RT.
Radiotherapy (RT) treatment planning is based on computed tomography (CT) images and traditionally uses the conventional Hounsfield unit (CHU) range. This HU range is suited for human tissue but inappropriate for metallic materials. To guarantee safety of patient carrying implants precise HU quantification is beneficial for accurate dose calculations in planning software. Some modern CT systems offer an extended HU range (EHU). This study focuses the suitability of these two HU ranges for the quantification of metallic components of active implantable medical devices (AIMD). CT acquisitions of various metallic and non-metallic materials aligned in a water phantom were investigated. From our acquisitions we calculated that materials with mass-density ρ > 3.0 g/cm3 cannot be represented in the CHU range. For these materials the EHU range could be used for accurate HU quantification. Since the EHU range does not effect the HU values for materials ρ < 3.0 g/cm3, it can be used as a standard for RT treatment planning for patient with and without implants.
This study investigates differences between treatment plans generated by Ray Tracing (RT) and Monte Carlo (MC) calculation algorithms in homogeneous and heterogeneous body regions. Particularly, we focus on the head and on the thorax, respectively, for robotic stereotactic radiotherapy and radiosurgery with Cyberknife. Radiation plans for tumors located in the head and in the thorax region have been calculated and compared to each other in 47 cases and several tumor types.
Upgrade of Bioreactor System Providing Physiological Stimuli
to Engineered Musculoskeletal Tissues
(2017)
A novel central control interface (CCI) is developed to improve the modular bioreactor system with regard to extendability and modifiability in Tissue Engineering (TE) applications. This paper presents the results developed in the project with open-source hardware and the graphical programming system LabVIEW. A new platform independent User Interface was further developed to contribute to the new flexibility of the device.
CIP is an open-source high-level function library for (non-linear) curve fitting and data smoothing (with cubic splines), clustering (k-medoids, ART-2a) and machine learning (multiple linear/polynomial regression, feed-forward perceptron-type shallow and deep neural networks and support vector machines). In addition it provides several heuristics for the selection of training and test data or methods to estimate the relevance of data input components. CIP is built on top of the computing platform Mathematica to exploit its algorithmic and graphical capabilities.
CIP is an open-source high-level function library for (non-linear) curve fitting and data smoothing (with cubic splines), clustering (k-medoids, ART-2a) and machine learning (multiple linear/polynomial regression, feed-forward perceptron-type shallow and deep neural networks and support vector machines). In addition it provides several heuristics for the selection of training and test data or methods to estimate the relevance of data input components. CIP is built on top of the computing platform Mathematica to exploit its algorithmic and graphical capabilities.
Jdpd is an open Java simulation kernel for Molecular Fragment Dissipative Particle Dynamics with parallelizable force calculation, efficient caching options and fast property calculations. It is characterized by an interface and factory-pattern driven design for simple code changes and may help to avoid problems of polyglot programming. Detailed input/output communication, parallelization and process control as well as internal logging capabilities for debugging purposes are supported. The new kernel may be utilized in different simulation environments ranging from flexible scripting solutions up to fully integrated “all-in-one” simulation systems.
SPICES (Simplified Particle Input ConnEction Specification) is a particle-based molecular structure representation derived from straightforward simplifications of the atom-based SMILES line notation. It aims at supporting tedious and error-prone molecular structure definitions for particle-based mesoscopic simulation techniques like Dissipative Particle Dynamics by allowing for an interplay of different molecular encoding levels that range from topological line notations and corresponding particle-graph visualizations to 3D structures with support of their spatial mapping into a simulation box. An open Java library for SPICES structure handling and mesoscopic simulation support in combination with an open Java Graphical User Interface viewer application for visual topological inspection of SPICES definitions are provided.
