Hochschule Konstanz University of Applied Sciences
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Tracking Control of Docking Maneuvers for a Fully Actuated Surface Vessel Using Backstepping
No full textIn this brief, trajectory tracking for a fully actuated surface vessel while performing automated docking is addressed. Environmental disturbances, integral action, as well as physical actuator quantities are directly integrated into the approach, avoiding the need for additional control allocation. By employing a backstepping design, uniform local exponential stability is proven. The performance of the controller is demonstrated by full-scale experiments. Moreover, a comparison between the physical experiments and simulations is provided
Chunks/formelhafte Sequenzen bei Textproduktionen
No full textBei DSH-Textproduktionen greifen Prüflinge häufig auf Chunks oder formelhafte Sequenzen zurück. Diese Elemente führen bei der Bewertung zu Unsicherheiten, da sie ohne eine sprachliche Analyse gespeichert werden und der Gebrauch keine eindeutigen Rückschlüsse darauf zulässt, ob die verwendeten Strukturen regelgeleitet/kreativ gebildet wurden. In der DSH-Musterprüfungsordnung wird deshalb empfohlen, die Aufgabe so zu stellen, dass der Gebrauch formelhafter Sequenzen ausgeschlossen wird. Allerdings sollte der Wert des Chunkings für den Spracherwerb und für die Teilnahme an wissenschaftlicher Kommunikation anerkannt werden. In der vorliegenden Praxisreflexion werden exemplarisch drei DSH-Textproduktionen untersucht, um Hinweise für eine sinnvolle Berücksichtigung von Chunks bei der Bewertung zu gewinnen. Die Beispiele verdeutlichen, dass nur wenige allgemeine Leitlinien abgeleitet werden können. Im Einzelfall ist zu klären, ob der Gebrauch formelhafter Wendungen auf einen kompetenten Sprachgebrauch hinweist
A Conceptual Vision of Early Detection of Impulse Control Disorders in Pediatric Populations via Speech and Sleep Pattern Analysis
No full textThe heart of the project is the early and cost-effective diagnosis of impulse control disorders in children and adolescents. The methodology is based on the automatic analysis of speech and sleep patterns, which is being carried out in cooperation with Colombian and German partners. The group has set itself three project goals. In the first step, the synchronization of ongoing project work will be carried out so that, on the one hand, available results can be incorporated into this project and, on the other hand, cooperation results can be taken into account in ongoing work. Parallel to this, the second project objective is to set up competence groups that, as specialist groups, are familiar with the regional characteristics and help to record the current situation. The first two objectives are supported in particular by workshops and the exchange of researchers. In this way, the partners’ methodology is made accessible to both groups, which significantly promotes the analysis of research topics and the approach. Finally, in the third project objective, practice-oriented and target group-oriented results based on validated case studies will be provided so that the jointly developed methodology can be created. This contribution provides an overview of the activities
Digitalisation of subjective sleep assessment methods
No full textSleep is a crucial aspect of human well-being, with significant implications for overall health and quality of life. In response to the growing concern over sleep-related issues and the need for innovative solutions, this paper presents ‘Sleep Sheep’, an innovative system designed to monitor sleep and promote healthy sleep habits. The motivation behind Sleep Sheep stems from recognizing the vital role sleep plays in our daily lives. Inadequate sleep has been associated with various health problems, including cognitive impairments, mood disorders, and compromised immune function. Thus, addressing sleep-related concerns has become a pressing priority. To achieve its objectives, Sleep Sheep utilizes a smartphone application monitored by a doctor, to collect and analyze comprehensive sleep data, including sleep duration, sleep stages, and sleep disturbances. The collected data is then processed using several algorithms to provide results, which demonstrate its potential to impact sleep quality and overall well-being. By providing users with personalized sleep reports and actionable recommendations, Sleep Sheep makes individuals aware that they should adopt healthier sleep practices. These reports and recommendations, in turn, can lead to improved sleep duration, enhanced sleep efficiency, and a better overall sleep experience. By fostering awareness about the importance of sleep and providing individuals with the tools for being monitored by their doctors and improving their sleep, Sleep Sheep has the potential to make a substantial impact on public health. Ultimately, this innovative system aims to contribute to the well-being and quality of life of individuals by encouraging healthy sleep habits and optimizing sleep outcomes
Iterative Learning-Based Nonlinear Model Predictive Control of an Underactuated Autonomous Surface Vessel in Current Fields
No full textEfficient and safe autonomous control of surface
vessels is seminal for the future of maritime transport systems.
In this paper, we use an iterative learning–based nonlinear
model predictive control scheme leveraging past experiences of
the motion of vessels in a current field to reach optimal behavior.
We define an optimal control problem including a detailed vessel
model but only a roughly estimated current model. This current
model is improved from trial to trial. The learned controller is
compared to a linear track controller, a zero–offset nonlinear
model predictive controller without current information, and a
nonlinear model predictive controller including a perfect model
of the current field. The results of this comparison show that by
including experiences from previous trials, the controller can
improve its performance significantly.We believe that numerical
optimal control has the potential to disrupt the future control
design of maritime systems
The Role of Shape Memory Alloys in Modern and Future Automobiles
No full textShape memory alloys are functional materials with unique properties and are especially used in medical and aerospace applications for quite some time. The use of this group of materials in automotive systems was also researched but real series applications are still lacking, with a few exceptions. Although a large number of theoretical applications were demonstrated, there is still little acceptance among car manufacturers to use shape memory actuators in safety-relevant systems in the automotive sector, for example. As shape memory alloys are in the meantime available in excellent qualities and in larger quantities, new possibilities are opening up against the background of autonomous driving and the desired weight reduction of vehicles. The first series applications are therefore already available on the market for automotive comfort applications.
The target of this paper is to give a short introduction to the shape memory technology and a brief review of existing comfort and safety systems designed for modern and future cars
Harvesting Success: Exploring Performance Metrics for Corporate Entrepreneurship Units
No full textWhile Corporate Entrepreneurship (CE) units have become essential tools for creating new kinds of innovation within established companies, their performance measurement remains underexplored. With CE units, companies intend to contribute to new business and organizational transformation. Thereby, CE units are used to create outputs that are new for the core organization. Until now, scholars have neglected to investigate assessing CE unit performance, leading to a lack of understanding of appropriate metrics for CE units. Companies often use traditional metrics designed for relatively static contexts, but these metrics do not fit for CE units. This study explores the metrics used in CE units, analyzing 12 interviews with 11 German companies. The analysis reveals a list of different metrics, categories, and underlying dimensions for CE unit performance measurement. Finally, we suggest scientific and managerial implications and topics for future research
Organizational Capabilities for Business-IT Integration in Digital Enterprises
No full textThe digital transformation urges organizations to become digital enterprises. Digital enterprises require the integration of business and IT to efficiently leverage digital technologies. However, there is a lack of a framework that guides organizations on what organizational capabilities are required to achieve business-IT integration. The goal of this paper is to identify these capabilities. From a single case study, we derived twelve organizational capabilities that a digital enterprise, driven by technology, should design in terms of its people, organizational structure, and tasks to establish business-IT integration. Thus, this paper provides guidance for organizations to approach business-IT integration as a foundation for their path into a digital enterprise