Refine
Year of publication
- 2018 (62) (remove)
Document Type
- Conference Proceeding (62) (remove)
Conference Type
- Konferenzartikel (62) (remove)
Is part of the Bibliography
- yes (62)
Keywords
- 5G mobile communication (2)
- Access protocols (2)
- Decoding (2)
- Gamification (2)
- Multiuser detection (2)
- Payloads (2)
- Physical layer (2)
- access protocols (2)
- decoding (2)
- network coding (2)
- 3D-Druck von leitfähigen Materialien (1)
- 3D-Time-of-Flight Cameras (1)
- Affective Computing (1)
- Assistive Technologies (1)
- Atrial fibrillation (1)
- Atrioventricular delay (1)
- Augmented Reality (1)
- Batteries (1)
- Biventricular pacing (1)
- CRC (1)
- Cardiac resynchronization therapy (1)
- CoBot (1)
- Context-awareness (1)
- Deaf-Blindness (1)
- Emotion Recognition (1)
- Energiemanagement (1)
- Energy Harvesting (EH) (1)
- Eyetracking, Technisches Zeichnen (1)
- FPGA (1)
- Finite element analysis (1)
- Flexibilisierung des Lernortes (1)
- Fractionated atrial signals (1)
- Fractionated ventricular signals (1)
- Gedruckte Elektronik (PE) (1)
- Gender in Science and Technology Studies (STS), digitalization, interactive documentary, participation (1)
- Greifsystemen (1)
- Harmonic analysis (1)
- Human-Robot Collaboration (1)
- Intellectual Properties (1)
- Knowledge-based Innovation (1)
- Left atrial ECG (1)
- Left atrial delay (1)
- Left cardiac ECG (1)
- Lithium niobate (1)
- Low-Power-SoC-Systeme (1)
- MEMS (1)
- MPC (1)
- Mensch-Roboter-Kollaboration (1)
- Metallization (1)
- Mikrostruktur (1)
- PV Applications, Smart PV, PV Battery Systems, PV Power Supplies (1)
- Photovoltaic (1)
- Plastizität (1)
- Rehabilitation (1)
- Roboter (1)
- Robotics (1)
- Robots (1)
- Safe Speed and Separation Monitoring. (1)
- Schaltungsdesign (1)
- Screencast (1)
- Signal averaging ECG (1)
- Smart Grid (1)
- Smart wearables (1)
- Social Robots (1)
- Soft- und Hardcore-Prozessoren (1)
- Soziale Roboter (1)
- Spectral-temporal mapping (1)
- Stahl (1)
- Statistikvideos (1)
- Substrates (1)
- System-on-Chip (1)
- TRIZ (1)
- Tablet Lückenskript (1)
- Task Analysis (1)
- Transesophageal electrocardiography (1)
- Ventricular tachycardia (1)
- Videoclip (1)
- Wearables (1)
- Wishbone (1)
- accelerometer (1)
- cloud security (1)
- cluster (1)
- cross-industry innovation (1)
- cyclic plasticity (1)
- eco-innovation (1)
- gedruckter Sensorik (1)
- glass (1)
- gyroscope (1)
- hot work tool steel (1)
- inertial measurement unit (1)
- innovation management (1)
- laser material processing (1)
- machine learning (1)
- particle coarsening (1)
- pigment paste (1)
- printing technologies (1)
- process engineering (1)
- project-based learning (1)
- scanning electron microscope (SEM) (1)
- surface treatment (1)
- temperature dependency (1)
Institute
- Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019) (29)
- ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik (13)
- Fakultät Maschinenbau und Verfahrenstechnik (M+V) (12)
- Fakultät Wirtschaft (W) (10)
- Fakultät Medien und Informationswesen (M+I) (bis 21.04.2021) (9)
- ACI - Affective and Cognitive Institute (4)
- WLRI - Work-Life Robotics Institute (2)
- CRT - Campus Research & Transfer (1)
- Zentrale Einrichtungen (1)
Open Access
- Closed Access (37)
- Open Access (21)
- Closed (4)
- Bronze (2)
Covert- and side-channels as well as techniques to establish them in cloud computing are in focus of research for quite some time. However, not many concrete mitigation methods have been developed and even less have been adapted and concretely implemented by cloud providers. Thus, we recently conceptually proposed C 3 -Sched a CPU scheduling based approach to mitigate L2 cache covert-channels. Instead of flushing the cache on every context switch, we schedule trusted virtual machines to create noise which prevents potential covert-channels. Additionally, our approach aims on preserving performance by utilizing existing instead of artificial workload while reducing covert-channel related cache flushes to cases where not enough noise has been achieved. In this work we evaluate cache covert-channel mitigation and performance impact of our integration of C 3 -Sched in the XEN credit scheduler. Moreover, we compare it to naive solutions and more competitive approaches.
In this paper, we present a frame synchronization method which consists of the non-orthogonal superposition of a synchronization sequence and the data. We derive the optimum detection criterion and compare it to the classical sequential concatenation of synchronization and data sequences. Computer simulations confirm the benefits of the non-orthogonal allocation for the case of short frames, which makes this technique particularly suited for the increasingly important regime of low latency and ultra- reliable communication.
This paper deals with the detection and segmentation of clouds on high-dynamic-range (HDR) images of the sky as well as the calculation of the position of the sun at any time of the year. In order to predict the movement of clouds and the radiation of the sun for a short period of time, the clouds thickness and position have to be known as precisely as possible. Consequently, the segmentation algorithm has to provide satisfactory results regardless of different weather, illumination and climatic conditions. The principle of the segmentation is based on the classification of each pixel as a cloud or as a sky. This classification is usually based on threshold methods, since these are relatively fast to implement and show a low computational burden. In order to predict if and when the sun will be covered by clouds, the position of the sun on the images has to be determined. For this purpose, the zenith and azimuth angles of the sun are determined and converted into XY coordinates.
Solar irradiance prediction is vital for the power management and the cost reduction when integrating solar energy. The study is towards a ground image based solar irradiance prediction which is highly dependent on the cloud coverage. The sky images are collected by using ground based sky imager (fisheye lens). In this work, different algorithms for cloud detection being a preparation step for their segmentation are compared.
The fisheye camera has been widely studied in the field of ground based sky imagery and robot vision since it can capture a wide view of the scene at one time. However, serious image distortion is a major drawback hindering its wider use. To remedy this, this paperproposes a lens calibration and distortion correction method for detecting clouds and forecasting solar radiation. Finally, the radial distortion of the fisheye image can be corrected by incorporating the estimated calibration parameters. Experimental results validate the effectiveness of the proposed method.
Die Erstellung und der Einsatz digitaler Medien basieren häufig auf der Annahme eines idealtypischen Lernprozesses, welcher die effektive Erarbeitung von Inhalten unter Berücksichtigung individueller Vorkenntnisse und Lebensumstände ermöglicht. Erfahrungen Lehrender legen jedoch die Vermutung nahe, dass Studierende selten ein idealtypisches Lernverhalten an den Tag legen. Für den Beitrag „Nutzungsmuster bei digitalen Medien“ wurden Forschungsarbeiten zu digitalen instruktionalen Medien gezielt ausgewertet, um die tatsächlichen Verhaltensweisen beim Lernen und die hiermit verbundenen Wirkungen aufzuzeigen. Aufbauend auf den Erkenntnissen soll eine Diskussion um mögliche Folgerungen für die Lehre angeregt werden.
Im Rahmen der Konstruktionsausbildung an der Hochschule Offenburg wird die Lehre im Fach Technische Dokumentation fortlaufend optimiert. In der vorliegenden Laborstudie wurde das visuelle Wahrnehmen von 34 Maschinenbaustudierenden (2w + 32m) im Alter von 19 bis 29 Jahren mithilfe der Eye-Tracking-Technik und einer Videokamera bei der Analyse einer Baugruppenzeichnung beobachtet.
Cardiac resynchronization therapy (CRT) with hemodynamic optimized biventricular pacing is an established therapy for heart failure patients with sinus rhythm, reduced left ventricular ejection fraction and wide QRS complex. The aim of the study was to evaluate electrical right and left cardiac atrioventricular delay and left atrial delay in CRT responder and non-responder with sinus rhythm.
Methods: Heart failure patients with New York Heart Association class 3.0 ± 0.3, sinus rhythm and 27.7 ± 6.1% left ventricular ejection fraction were measured by surface ECG and transesophageal bipolar left atrial and left ventricular ECG before implantation of CRT devices. Electrical right cardiac atrioventricular delay was measured between onset of P wave and onset of QRS complex in the surface ECG, left cardiac atrioventricular delay between onset of left atrial signal and onset of left ventricular signal in the transesophageal ECG and left atrial delay between onset and offset of left atrial signal in the transesophageal ECG.
Results: Electrical atrioventricular and left atrial delay were 196.9 ± 38.7 ms right and 194.5 ± 44.9 ms left cardiac atrioventricular delay, and 47.7 ± 13.9 ms left atrial delay. There were positive correlation between right and left cardiac atrioventricular delay (r = 0.803 P < 0.001) and negative correlation between left atrial delay and left ventricular ejection fraction (r = −0.694 P = 0.026) with 67% CRT responder.
Conclusions: Transesophageal electrical left cardiac atrioventricular delay and left atrial delay may be useful preoperative atrial desynchronization parameters to improve CRT optimization.
Targeting complex fractionated atrial electrocardiograms by automated algorithms during ablation of persistent atrial fibrillation has produced conflicting outcomes in previous electrophysiological studies and catheter ablation of atrial fibrillation and ventricular tachycardia. The aim of the investigation was to evaluate atrial and ventricular high frequency fractionated electrical signals with signal averaging technique.
Methods: Signal averaging electrocardigraphy allows high resolution ECG technique to eliminate interference noise signals in the recorded ECG. The algorithm use automatic ECG trigger function for signal averaged transthoracic, transesophageal and intra-cardiac ECG signals with novel LabVIEW software.
Results: The analysis in the time domain evaluated fractionated atrial signals at the end of the signal averaged P-wave and fractionated ventricular signals at the end of the QRS complex. We evaluated atrial flutter in the time domain with two-to-one atrioventricular conduction, 212.0 ± 4.1 ms atrial cycle length, 426.0 ± 8.2 ms ventricular cycle length, 58.2 ± 1.8 ms P-wave duration, 119.6 ± 6.4 ms PQ duration, 103.0 ± 2.4 ms QRS duration and 296.4 ± 6.8 ms QT duration. The analysis in the frequency domain evaluated high frequency fractionated atrial signals during the P-wave and high frequency fractionated ventricular signals during QRS complex.
Conclusions: Spectral analysis of signal averaging electrocardiography with novel LabVIEW software can be utilized to evaluate atrial and ventricular conduction delays in patients with atrial fibrillation and ventricular tachycardia. Complex fractionated atrial and ventricular electrocardiograms may be useful parameters to evaluate electrical cardiac bradycardia and tachycardia signals in atrial fibrillation and ventricular tachycardia ablation.
Dieser Beitrag stellt die Möglichkeiten des 3D-Druckes unter der Berücksichtigung von Mensch-Roboter-Kollaborations-Anforderungen dar. Dabei werden die Vorteile mit besonderem Fokus auf die zusätzliche Gestaltungsfreiheit erläutert. Anhand von Beispielen wird der Stand der Technik bereits eingesetzter Sensorik sowie deren Notwendigkeit in Greifsystemen erläutert. Im weiteren Verlauf dieses Beitrags werden allgemeine Verfahren für die additive Verarbeitung von leitfähigen Materialien vorgestellt. Daran angeknüpft sind Beispiele speziell zur 3D-gedruckten Sensorik. Abgerundet wird der Beitrag mit einem Ausblick bezüglich 3D-gedruckter Sensorik in MRK-Greifsystemen.
Human-robot collaboration plays a strong role in industrial production processes. The ISO/TS 15066 defines four different methods of collaboration between humans and robots. So far, there was no robotic system available that incorporates all four collaboration methods at once. Especially for the speed and separation monitoring, there was no sensor system available that can easily be attached directly to an off-the-shelf industrial robot arm and that is capable of detecting obstacles in distances from a few millimeters up to five meters. This paper presented first results of using a 3D time-of-flight camera directly on an industrial robot arm for obstacle detection in human-robot collaboration. We attached a Visionary-T camera from SICK to the flange of a KUKA LBR iiwa 7 R800. With Matlab, we evaluated the pictures and found that it works very well for detecting obstacles in a distance range starting from 0.5 m and up to 5 m.
In einer Vorlesung nicht abgehängt zu werden und die vielen Ergebnisse strukturiert zu sichern, ist für Studienanfänger eine große Herausforderung. Mitschriebe sind sehr oft unvollständig, unstrukturiert oder „zerfläddert“. Mitschreib-Marathon und Mitdenken schließen sich bei vielen aus. Auch aktivierende Lehrmethoden, Medienwechsel, Lehrvideos führen oft dazu, dass eine strukturierte Sicherung der Inhalte des Lehrgesprächs noch erschwert wird.
Es wird ein Best Practice Beispiel gezeigt, Mathematik-Vorlesungen über ein Tablet-basiertes Mitmach-Skript zu gestalten. Dieses dient als Schrittmacher zwischen Input- und Verarbeitungsphasen und unterstützt die strukturierte Verschriftlichung, indem es Vorteile von Tafel, PPT und klassischem Skript vereint. Traditionelle Methoden werden mit technologischen Möglichkeiten kombiniert, um die angesprochenen Herausforderungen bewusster im Lehrstil zu berücksichtigen. Verbindungen zu Virtual Classroom und Video-gestützter Lehre werden aufgezeigt.
We present the design of a system combining augmented reality (AR) and gamification to support elderly persons’ rehabilitation activities. The system is attached to the waist; it collects detailed movement data and at the same time augments the user’s path by projections. The projected AR-elements can provide location-based information or incite movement games. The collected data can be observed by therapists. Based on this data, the challenge level can be more frequently adapted, keeping up the patient’s motivation. The exercises can involve cognitive elements (for mild cognitive impairments), physiological elements (rehabilitation), or both. The overall vision is an individualized and gamified therapy. Thus, the system also offers application scenarios beyond rehabilitation in sports. In accordance with the methodology of design thinking, we present a first specification and a design vision based on inputs from business experts, gerontologists, physiologists, psychologists, game designers, cognitive scientists and computer scientists.
Brand identification has the potential of shaping individuals' attitudes, performance and commitment within learning and work contexts. We explore these effects, by incorporating elements of branded identification within gamified environments. We report a study with 44 employees, in which task performance and emotional outcomes are assessed in a real-world assembly scenario - namely, while performing a soldering task. Our results indicate that brand identification has a direct impact on individuals' attitude towards the task at hand: while instigating positive emotions, aversion and reactance also arise.
Social robots are robots interacting with humans not only in collaborative settings, but also in personal settings like domestic services and healthcare. Some social robots simulate feelings (companions) while others just help lifting (assistants). However, they often incite both fascination and fear: what abilities should social robots have and what should remain exclusive to humans? We provide a historical background on the development of robots and related machines (1), discuss examples of social robots (2) and present an expert study on their desired future abilities and applications (3) conducted within the Forum of the European Active and Assisted Living Programme (AAL). The findings indicate that most technologies required for the social robots' emotion sensing are considered ready. For care robots, the experts approve health-related tasks like drawing blood while they prefer humans to do nursing tasks like washing. On a larger societal scale, the acceptance of social robots increases highly significantly with familiarity, making health robots and even military drones more acceptable than sex robots or child companion robots for childless couples. Accordingly, the acceptance of social robots seems to decrease with the level of face-to-face emotions involved.
Deafblindness is a condition that limits communication capabilities primarily to the haptic channel. In the EU-funded project SUITCEYES we design a system which allows haptic and thermal communication via soft interfaces and textiles. Based on user needs and informed by disability studies, we combine elements from smart textiles, sensors, semantic technologies, image processing, face and object recognition, machine learning, affective computing, and gamification. In this work, we present the underlying concepts and the overall design vision of the resulting assistive smart wearable.
Freiwillige Fachtutorien erreichen aus unterschiedlichen Gründen nicht alle Studierenden. Allein der subjektive Eindruck, dass zu wenige Ressourcen seitens der Hochschule (Übungsräume, studentische Tutoren, lückenlose Stundenplanpassung) oder der Studierenden (Zeit, Motivation) zur Verfügung stünden, führt zu Absenzen bei freiwilligen Präsenztutorien. Um die empfundenen und realen Begrenzungen dieser Veranstaltungen zu verringern, wurden für den Studiengang Maschinenbau die Musterlösungen der Übungsaufgaben Physik und Mathematik in Form von Videoclips erstellt und über die Lernplattform Moodle für alle Studierende des Semesters bereitgestellt. Die Clips beziehen sich jeweils auf eine Teilaufgabe und besitzen die Länge eines typischen Youtube-Tutorials. In etwa 5 Minuten bieten sie dem Zuschauer einen Lösungsweg zu den jeweiligen Übungsaufgaben. Die Studierenden können die Clips alternativ oder ergänzend zur Präsenzveranstaltung nutzen. Bei der Erstellung der Clips wurde auf den Einsatz von Spezialeffekten wie Animationen etc. zugunsten einer effizienten Produktion verzichtet, so dass eine einzelne Lehrperson pro Stunde etwa 10 bis 20 Minuten Videoclips aufzeichnen kann. Die Auswertung der Zugriffszahlen auf die Clip-Dateien ermöglicht eine aufgabengenaue Ermittlung der aktiven Nutzer. Im Betrag wird eine vorläufige Auswertung der Teilnehmerzahl und der Korrelation zwischen Klausurergebnis und Nutzungsgrad präsentiert.