Spacecraft experiment pointing and attitude control system Patent

Development of spacecraft experiment pointing and attitude control syste

Attitude control and damping system for spacecraft Patent

Utilization of momentum devices for forming attitude control and damping system for spacecraf

NASA advanced control technology: An overview

NASA's current and projected advanced control technology programs for future transport aircraft include the design and verification of full flight envelope autopilots, the development and flight test of all-digital fly by wire systems, the evolution of low cost innovative avionics concepts such as split surface stability augmentation systems, the evaluation of integrated propulsion control and cooperative autopilot/propulsion control systems, the application of active control systems to short haul and long haul transports, and the demonstration of reconfigured active control aircraft. Key technical features and anticipated contributions of these technologies are outlined

Visual analysis for spatio-temporal event correlation in manufacturing

The analysis of events with spatio-temporal context and their interdependencies is a crucial task in the manufacturing domain. In general, understanding this context, for example investigating error messages or alerts is important to take corrective actions. In the manufacturing domain, comprehending the relations of errors is often based on the technicians\u27 experience. Validation of cause-effect relations is necessary to understand if an effect has a preceding causality, e.g., if an error is the result of multiple issues from previous working steps. We present an approach to investigate spatio-temporal relations between such events. Based on a time-sensitive correlation measure, we provide multiple coordinated views to analyze and filter the data. In collaboration with an industry partner, we developed a visual analytics approach for error logs reported by machines that covers a multitude of analysis tasks. We present a case study based on real-world event logs of an assembly line with feedback from our industry partner\u27s domain experts. The findings show that experts can effectively identify error dependencies that impair the overall assembly line productivity using our technique. Furthermore, we discuss how our approach is applicable in other domains

Statistical and mathematical approach to modeling dendritic growth

The purpose of this work is to extend a model from an already existing model, which describes the metric structure of the branching process in early brain development utilizing data material observed at Iowa State University. Furthermore, results obtained with the new model will be compared to results gained with the already existing model. The new model should result in more precise estimates for the model parameters and, as a long term implication in the areas of neural networks, in reliable in vitro drug testing methods that will considerably cut testing time and costs. More specifically, to obtain an extended model from the data available, differential equations are used to describe the variables growth velocity and total length for each order of a branch; the Newton-Raphson algorithm is applied to these equations to get estimates for the proposed model. A gamma function is fitted to the variable splitting length, and goodness-of-fit tests are evaluated for each order to verify this distribution assumption

Fast-forward video visualization

Durch den Einsatz von Überwachungskameras kann sich eine sehr große Menge an Videomaterial ansammeln. Wenn es nötig ist, dieses Material manuell zu betrachten, so kann man durch die Verwendung des Schnellvorlaufs die Betrachtungszeit verkürzen. Bei digitalen Videos können dabei hohe Beschleunigungen durch das Überspringen von Bildern erreicht werden. Diese Sprünge können jedoch zu „Change Blindness“ führen und den Beobachter wichtige Ereignisse verpassen lassen. Im Rahmen dieser Diplomarbeit werden deshalb Methoden vorgestellt, die auf verschiedene Weise versuchen, die Informationen der übersprungenen Bilder wieder sichtbar zu machen. Biologisch motiviertes Blending erzeugt eine Bewegungsunschärfe bei den Objekten. Die Differenzen-Methode erzeugt multiple Instanzen der Objekte im Verlauf ihrer Bewegung. Beim Tracking werden die Objekte mit Pfeilen und Schweifen versehen, die Informationen über vergangene und zukünftige Bewegungen der Objekte vermitteln. Da es in Überwachungsvideos häufig Situationen gibt, in denen nichts passiert, kann man durch Adaptive Fast-Forward unterschiedliche Beschleunigungen nach Priorität der Ereignisse verwenden. Drei verschiedene Geschwindigkeitsvisualisierungen werden vorgestellt, die den Wechsel zwischen den Beschleunigungen besser vermitteln sollen. In einer Benutzerstudie werden dann die Methoden für den Schnellvorlauf genauer untersucht. Dabei wird die Objekterkennung und die Verfolgung von Bewegungen geprüft. Die Geschwindigkeitsvisualisierungen werden in einer zusätzlichen Aufgabe hinsichtlich ihrer Effektivität und Beanspruchung miteinander verglichen

Visualization Psychology for Eye Tracking Evaluation

Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse behind performance measures and into the perceptual and cognitive processes of people using visualization techniques. The majority of eye tracking studies performed for visualization research is limited to the analysis of gaze distributions and aggregated statistics, thus only covering a small portion of insights that can be derived from gaze data. We argue that incorporating theories and methodology from psychology and cognitive science will benefit the design and evaluation of eye tracking experiments for visualization. This book chapter provides an overview of how eye tracking can be used in a variety of study designs. Further, we discuss the potential merits of cognitive models for the evaluation of visualizations. We exemplify these concepts on two scenarios, each focusing on a different eye tracking study. Lastly, we identify several call for actions

Students' Perspective on AI-Supported Assessment of Open-Ended Questions in Higher Education

Artificial Intelligence (AI) is widely used for the assessment of multiple-choice questions. There is an increasing effort to also use it for open-ended questions. While the use of AI can benefit the learning of students, e.g. by increasing the number of feedback moments, most applications focus on saving costs by reducing the need for manual assessment. The perspective of teachers on this kind of automation has been studied extensively, the student perspective, however, is still under-researched. This paper presents the results of two surveys and a series of interviews among students to identify their perspective on AI-supported assessment and elaborate on under which conditions they would accept such technology. The results show that the majority of students (more than 80%), is, under certain conditions, open to AI-supported assessment. Most importantly, they stress that humans should still be involved in the assessment (human-in-the-loop)