Towards a Physiological Computing Infrastructure for Researching Students’ Flow in Remote Learning – Preliminary Results from a Field Study

With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students’ learning journey in remote learning. Specifically, our solution is based on the Raspberry Pi minicomputer and Polar H10 chest belt. In this work-in-progress paper, we present preliminary results and experiences we collected from a field study with medical students using our developed infrastructure. Our results do not only provide a new direction for more effectively capturing different types of data in remote learning by addressing the underlying challenges of remote setups, but also serve as a foundation for future work on developing a less obtrusive, (near) real-time measurement method based on the classification of cognitive-affective states such as flow or other learning-relevant constructs with the captured data using supervised machine learning

Fleet Level Direct Operating Cost Assessment of Advanced All New Mid-Range Transport Aircraft

Aircraft concepts and technologies can be assessed in various ways, targeting several key performance indicators. They can be assessed on mission level, fleet level or global air transport level. In this paper a fleet level direct operating cost (DOC) assessment of an advanced all new mid-range aircraft is performed. In a first step, range dependent DOC and seat mile cost (SMC) characteristics are provided for various aircraft. The new mid-range aircraft concept is then integrated into a fleet composition and compared to a baseline fleet scenario with the respective fleet level direct operating cost

A study on motion reduction for suspended platforms used in gravitational wave detectors

We report a reduction in motion for suspended seismic-isolation platforms in a gravitational wave detector prototype facility. We sense the distance between two seismic-isolation platforms with a suspension platform interferometer and the angular motion with two optical levers. Feedback control loops reduce the length changes between two platforms separated by 11.65m to 10pmHz-1/2 at 100mHz, and the angular motion of each platform is reduced to 1nradHz-1/2 at 100mHz. As a result, the length fluctuations in a suspended optical resonator on top of the platforms is reduced by three orders of magnitude. This result is of direct relevance to gravitational wave detectors that use similar suspended optics and seismic isolation platforms