Technische Hochschule Würzburg-Schweinfurt Publikationsserver OPUS
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From "Climate Finance" to "Climate Finance Society" to a Culture of Sustainability - Changing Perspectives on the ECB’s New Strategy
No full textIn this text, all contributions are summarized and the focus of the volume is explained. It highlights the importance of a new cultural setting for ECB sustainability strategies. From a system in which the financial sector incorporates sustainability according to its own logic, as does the real sector, the political sector, the regulatory sector, and the civil society, we need to start working on a system of mutually consistent logics to move from “(ECB) Climate Finance” to a “Climate Finance Society” and from “Sustainable Finance” to a “Sustainable Finance Society.” On this basis, one could then start working on the even more ambitious project of putting culture center stage
Dynamic 3D-Cartographic Symbols for VR Geovisualizations
Get PDFGeovisualizations that use a virtual reality headset can have a more immersive effect on users than when only a desktop application is viewed. However, to have an overview, a VR 3D map is usually viewed from a top-down perspective. On the other hand, the first-person perspective is used when the scenario is visualized as realistically as possible, and the ultimate goal is to feel present inside the 3D city. With the help of dynamic cartographic visualization methods, such as animated symbols appearing or a dynamic change of selected or complete visualization, it is possible to convey targeted information while being inside the 3D. For this purpose, techniques and ideas from cartography and video games were utilized and combined. The combination resulted in dynamically changeable symbol objects, which can be placed automatically using tables or building information, and dynamically changeable post-processing methods. Users can interactively select a predefined set of visualization methods and show/hide dynamic cartographic symbols in the running application via an interface. The study aims to develop cartographic visualization methods that can be technically used within a game engine for VR applications to improve spatial perception
Implicit Shape Model Trees - Recognition of 3-D Indoor Scenes and Prediction of Object Poses for Mobile Robots
Get PDFThis article describes an approach for mobile robots to identify scenes in configurations of objects spread across dense environments. This identification is enabled by intertwining the robotic object search and the scene recognition on already detected objects. We proposed “Implicit Shape Model (ISM) trees” as a scene model to solve these two tasks together. This article presents novel algorithms for ISM trees to recognize scenes and predict object poses. For us, scenes are sets of objects, some of which are interrelated by 3D spatial relations. Yet, many false positives may occur when using single ISMs to recognize scenes. We developed ISM trees, which is a hierarchical model of multiple interconnected ISMs, to remedy this. In this article, we contribute a recognition algorithm that allows the use of these trees for recognizing scenes. ISM trees should be generated from human demonstrations of object configurations. Since a suitable algorithm was unavailable, we created an algorithm for generating ISM trees. In previous work, we integrated the object search and scene recognition into an active vision approach that we called “Active Scene Recognition”. An efficient algorithm was unavailable to make their integration using predicted object poses effective. Physical experiments in this article show that the new algorithm we have contributed overcomes this problem
A Short Time Expansion Measurement Method for the Detection of Aging Effect of Lithium Ion Cells Using a High Resolution Laser Interfometric Setup
Get PDFIn this work a new expansion measurement methodology for the detection of ageing mechanisms in lithium ion cells is described and evaluated. For this purpose, a polarization-optical homodyne Michelson interferometer with a resolution of approx. 10 nm was set up to allow measurements of different cell types, cell sizes, and cell chemistry within a Memmert IP55 climate chamber. The used interferometric measurement setup is ten times more accurate than measurement systems commonly used for battery measurements in the literature. The better spatial resolution of an interferometer setup enables the recording of the expansion response to short current pulses with low transferred charge. This offers the possibility to detect ageing mechanisms such as lithium plating within short measuring times. With this measurement setup, a lithium iron phosphate pouch cell from the company A123, with the model identification AMP20M1HD-A, is measured. First, an expansion measurement over a full charge and discharge cycle with a constant load of ± C 20 (b=1 A) is performed. Here, the cell undergoes an expansion of about 42 μm. Subsequently, the in this work proposed measurement methodology is presented to show the influence of effects such as the formation of overshooting graphite stages or lithium plating on cell expansion. For this purpose, at a residual capacitance of 50%, the cell is pulsed with current of different intensity I ∈ {±20A,±80A} for t = {240 s, 60 s}, at T = {10 ◦C, 20 ◦C, 30 ◦C}, respectively, and the mechanical response is recorded using the high accuracy interferometer setup. A mechanical relaxation of the cell after the pulses with a time constant in the range between 10 s and 20 s can be observed. It is shown that this relaxation behavior can be associated with effects of the anode known from the literature, such as the formation of overshooting graphite stages or lithium plating. These effects can be recorded by the very high-resolution measurement already with little transferred charge and within a short measurement time
Alternating Transfer Functions to Prevent Overfitting in Non-Linear Regression with Neural Networks
Get PDFIn nonlinear regression with machine learning methods, neural networks (NNs)
are ideally suited due to their universal approximation property, which states
that arbitrary nonlinear functions can thereby be approximated arbitrarily well.
Unfortunately, this property also poses the problem that data points with
measurement errors can be approximated too well and unknown parameter
subspaces in the estimation can deviate far from the actual value (so-called
overfitting). Various developed methods aim to reduce overfitting through
modifications in several areas of the training. In this work, we pursue the
question of how an NN behaves in training with respect to overfitting when
linear and nonlinear transfer functions (TF) are alternated in different hidden
layers (HL). The presented approach is applied to a generated dataset and
contrasted to established methods from the literature, both individually and in
combination. Comparable results are obtained, whereby the common use of
purely nonlinear transfer functions proves to be not recommended generally
Introduction and Evaluation of an Alternative Training Approach as Indicator of Performance Improvement in Martial Arts with the Help of Kinematic Motion Analysis Using Motion Capture
No full textThe Influence of Home-Based Music Therapy Interventions on Relationship Quality in Couples Living with Dementia - An Adapted Convergent Mixed Methods Study
No full textRelationship quality is important for well-being and quality of life in couples living with dementia. Home-based music therapy interventions may be conducted with the aim of enhancing relationship quality. However, the effects or influences of such interventions are only briefly investigated in previous studies. This study’s aim was to identify how a 12-week home-based music therapy intervention may influence relationship quality in couples living with dementia, through an adapted convergent mixed methods design. In this case, 68 participating couples from the HOMESIDE RCT study, and four individually recruited couples, received the music therapy intervention. Relationship quality for all participants was measured by the standardized Quality of Caregiver-Patient Relationship scale, and qualitative interviews were conducted with the four individually recruited participants at baseline and post intervention. Quantitative analysis indicated no statistically significant intervention effect. However, relationship quality remained stable over the intervention period. The qualitative analysis identified that the music therapy interventions primarily led to positive emotions, closeness, intimacy, and communication between the persons with dementia and their care partners. Intervention influences could also be ambiguous, as sharing music experiences might involve a risk of evoking vulnerabilities or negative emotional responses