The 10 most recently published documents
Antonio Lotti und seine liturgische Kirchenmusik – Vorstudien zu Biographie und Überlieferung
(2023)
Antonio Lotti (1667-1740) gehört zu den venezianischen Komponisten, die in der älteren wie der neueren Fachliteratur ein hohes Ansehen genießen, obwohl seine Werke bis heute nur wenig bekannt sind. Eine unklare Überlieferungslage, aber auch sachfremde ästhetische Postulate verzögerten jedoch die Auseinandersetzung mit Lottis Kompositionen. Erst in neuerer Zeit gab es ein verstärktes Interesse sowohl an seinen Opern und vokaler Kammermusik als auch an seiner Kirchenmusik.
In der vorliegenden Studie wird zunächst Lottis Biographie unter Einbeziehung neuer Quellenfunde auf dem aktuellen Stand des Wissens zusammenfassend dargestellt. Der zweite Teil bietet erstmals eine Identifikation von Lottis Buchstaben- und Notenschrift nach streng philologischen Kriterien. Angesichts des nicht mehr erhaltenen Nachlasses ist dieser Teil von besonderer Bedeutung, bietet er doch die unverzichtbare Basis zur weiteren Erforschung von Lottis Kirchenmusik, ihrer Überlieferung und Faktur.
In the last decade, policy-makers around the world have turned their attention toward the creative industry as the economic engine and significant driver of employments. Yet, the literature suggests that creative workers are one of the most vulnerable work-forces of today’s economy. Because of the highly deregulated and highly individuated environment, failure or success are believed to be the byproduct of individual ability and commitment, rather than a structural or collective issue. This thesis taps into the temporal, spatial, and social resolution of digital behavioural data to show that there are indeed structural and historical issues that impact individuals’ and
groups’ careers. To this end, this thesis offers a computational social science research framework that brings together the decades-long theoretical and empirical knowledge of inequality studies, and computational methods that deal with the complexity and scale of digital data. By taking music industry and science as use cases, this thesis starts off by proposing a novel gender detection method that exploits image search and face-detection methods.
By analysing the collaboration patterns and citation networks of male and female computer scientists, it sheds lights on some of the historical biases and disadvantages that women face in their scientific career. In particular, the relation of scientific success and gender-specific collaboration patterns is assessed. To elaborate further on the temporal aspect of inequalities in scientific careers, this thesis compares the degree of vertical and horizontal inequalities among the cohorts of scientists that started their career at different point in time. Furthermore, the structural inequality in music industry is assessed by analyzing the social and cultural relations that breed from live performances and musics releases. The findings hint toward the importance of community belonging at different stages of artists’ careers. This thesis also quantifies some of the underlying mechanisms and processes of inequality, such as the Matthew Effect and the Hipster Paradox, in creative careers. Finally, this thesis argues that online platforms such as Wikipedia could reflect and amplify the existing biases.
Predictive Process Monitoring is becoming more prevalent as an aid for organizations to support their operational processes. However, most software applications available today require extensive technical know-how by the operator and are therefore not suitable for most real-world scenarios. Therefore, this work presents a prototype implementation of a Predictive Process Monitoring dashboard in the form of a web application. The system is based on the PPM Camunda Plugin presented by Bartmann et al. (2021) and allows users to easily create metrics, visualizations to display these metrics, and dashboards in which visualizations can be arranged. A usability test is with test users of different computer skills is conducted to confirm the application’s user-friendliness.
In dieser wiederkehrenden Zeitschriftenreihe wollen wir die Arbeit junger Wissenschaftlerinnen und Wissenschaftler an der Universität Koblenz kommunizieren und Studierenden Austausch- und Publikationsmöglichkeiten für den wissenschaftlichen Werdegang eröffnen.
In dieser Ausgabe:
Helena Juliane Hoppe: Soziale Konstruktionen von Autismus-Spektrum-Störung in Spielfilmen
Giana Björkskog: Vereinbarkeit von Wissenschaft und Mutterschaft - Die
Bedeutung von digitalen wissenschaftlichen Nachwuchsförderungsangeboten für die Vereinbarkeit von Wissenschaft und Mutterschaft
Erik Eichelbaum: “You will never have me” - The Male Gaze and the
Deconstruction of Gender Norms in "Lost Highway"
Kira Rosalin Jung: Die Bibel erzählt - Biblisches Lernen im Religionsunterricht
Eric Amann: Prototyping of a Predictive Process Monitoring Dashboard
Stefan Hill: Inter-case predictive process monitoring - A comparison
between quantum and classical computational methods
In dieser wiederkehrenden Zeitschriftenreihe wollen wir die Arbeit junger Wissenschaftlerinnen und Wissenschaftler an der Universität Koblenz kommunizieren und Studierenden Austausch- und Publikationsmöglichkeiten für den wissenschaftlichen Werdegang eröffnen.
In dieser Ausgabe:
Lukas Fock: Third-Person Effect & Conspiracy Theories - It's always the others!
Leoni Krawczyk: Das Déja-vu-Erlebnis als ein Resultat von impliziter Vertrautheit und oberflächlicher Reizverarbeitung
Frederik Alexander Wilczek: Employer Branding in der Katholischen Kirche - Eine Untersuchung der Employer Branding-Strategien kirchlicher Arbeitgeber
Alexander Bleffert: Modellierungsaufgaben als Beitrag zur Bildung für nachhaltige Entwicklung - Ein Beispiel für die Modellierungstage am Campus Koblenz
Alina Strunk, Fabian Kind,
Marina Gertner: Ist unser Wald noch zu retten? - Auswirkungen unterschiedlicher Waldbewirtschaftungsformen auf die natürliche Sukzession und die Bodenfeuchte - am Beispiel dreier Testflächen im Forstrevier Oberheimbach
Nils Lenard Grosch: Parameterstudie zur Synthese von Aluminium-Nonametaphosphaten
Stefanie Kröber: Sexuelle Gewalt gegen Kinder - Diskurs und Analyse therapeutischer Angebote für potenzielle Täter*innen
The diversity within amphibian communities in cultivated areas in Rwanda and within two selected, taxonomically challenging groups, the genera Ptychadena and Hyperolius, were investigated in this thesis. The amphibian community of an agricultural wetland near Butare in southern Rwanda comprised 15 anuran species. Rarefaction and jackknife analyses corroborated that the complete current species richness of the assemblage had been recorded, and the results of acoustic niche analysis suggested species saturation of the community. Surveys at many other Rwandan localities showed that the species recorded in Butare are widespread in cultivated and pristine wetlands. The species were readily distinguishable using morphological, bioacoustic, and molecular (DNA barcoding) features, but only eight of the 15 species could be assigned unambiguously to nominal species. The remaining represented undescribed or currently unrecognized taxa, including three species of Hyperolius, two Phrynobatrachus species, one Ptychadena species, and one species of Amietia. The diversity of the Ridged Frogs in Rwanda was investigated in two studies (Chapters III and IV). Three species of Ptychadena were recorded in wetlands in the catchment of the Nile. They can be distinguished by morphological characters (morphometrics and qualitative features) as well as by their advertisement calls and genetics. The Rwandan species of the P. mascareniensis group was shown to differ from the topotypic population as well as from other genetic lineages in sub-Saharan Africa and an old available name, P. nilotica, was resurrected from synonymy for this lineage. Two further Ptychadena species were identified among voucher specimens from Rwanda deposited in the collection of the RMCA, P. chrysogaster and P. uzungwensis. Morphologically they can be unambiguously distinguished from each other and the three other Rwandan species. A key based on qualitative morphological characters was developed, which allows unequivocal identification of specimens of all species that have been recorded from Rwanda. DNA was isolated from a Rwandan voucher specimen of P. chrysogaster, and the genetic analysis corroborated the species" distinct status.
A species of Hyperolius collected in the Nyungwe National Park was compared to all other Rwandan species of the genus and to morphologically or genetically similar species from neighbouring countries. Its distinct taxonomic status was justified by morphological, bioacoustic, and molecular evidence and it was described as a new species, H. jackie. A species of the H. nasutus group collected at agricultural sites in Rwanda was described as a new species in the course of a revision of the species of the Hyperolius nasutus group. The group was shown to consist of 15 distinct species which can be distinguished from each other genetically, bioacoustically, and morphologically.
The aerial performance, i.e. parachuting, of the Disc-fingered Reed Frog, Hyperolius discodactylus, was described. It represents a novel observation of a behaviour that has been known from a number of Southeast Asian and Neotropical frog species. Parachuting frogs, including H. discodactylus, exhibit certain morphological characteristics and, while airborne, assume a distinct posture which is best-suited for maneuvering in the air. Another study on the species addressed the validity of the taxon H. alticola which had been considered either a synonym of H. discodactylus or a distinct species. Type material of both taxa was re-examined and the status of H. alticola reassessed using morphological data from historic and new collections, call recordings, and molecular data from animals collected on recent expeditions. A northern and a southern genetic clade were identified, a divide that is weakly supported by diverging morphology of the vouchers from the respective localities. No distinction in advertisement call features could be recovered to support this split and both genetic and morphological differences between the two geographic clades are marginal and not always congruent and more likely reflect population-level variation. Therefore it was concluded that H. alticola is not a valid taxon and should be treated as a synonym of H. discodactylus.
On the recognition of human activities and the evaluation of its imitation by robotic systems
(2023)
This thesis addresses the problem of action recognition through the analysis of human motion and the benchmarking of its imitation by robotic systems.
For our action recognition related approaches, we focus on presenting approaches that generalize well across different sensor modalities. We transform multivariate signal streams from various sensors to a common image representation. The action recognition problem on sequential multivariate signal streams can then be reduced to an image classification task for which we utilize recent advances in machine learning. We demonstrate the broad applicability of our approaches formulated as a supervised classification task for action recognition, a semi-supervised classification task for one-shot action recognition, modality fusion and temporal action segmentation.
For action classification, we use an EfficientNet Convolutional Neural Network (CNN) model to classify the image representations of various data modalities. Further, we present approaches for filtering and the fusion of various modalities on a representation level. We extend the approach to be applicable for semi-supervised classification and train a metric-learning model that encodes action similarity. During training, the encoder optimizes the distances in embedding space for self-, positive- and negative-pair similarities. The resulting encoder allows estimating action similarity by calculating distances in embedding space. At training time, no action classes from the test set are used.
Graph Convolutional Network (GCN) generalized the concept of CNNs to non-Euclidean data structures and showed great success for action recognition directly operating on spatio-temporal sequences like skeleton sequences. GCNs have recently shown state-of-the-art performance for skeleton-based action recognition but are currently widely neglected as the foundation for the fusion of various sensor modalities. We propose incorporating additional modalities, like inertial measurements or RGB features, into a skeleton-graph, by proposing fusion on two different dimensionality levels. On a channel dimension, modalities are fused by introducing additional node attributes. On a spatial dimension, additional nodes are incorporated into the skeleton-graph.
Transformer models showed excellent performance in the analysis of sequential data. We formulate the temporal action segmentation task as an object detection task and use a detection transformer model on our proposed motion image representations. Experiments for our action recognition related approaches are executed on large-scale publicly available datasets. Our approaches for action recognition for various modalities, action recognition by fusion of various modalities, and one-shot action recognition demonstrate state-of-the-art results on some datasets.
Finally, we present a hybrid imitation learning benchmark. The benchmark consists of a dataset, metrics, and a simulator integration. The dataset contains RGB-D image sequences of humans performing movements and executing manipulation tasks, as well as the corresponding ground truth. The RGB-D camera is calibrated against a motion-capturing system, and the resulting sequences serve as input for imitation learning approaches. The resulting policy is then executed in the simulated environment on different robots. We propose two metrics to assess the quality of the imitation. The trajectory metric gives insights into how close the execution was to the demonstration. The effect metric describes how close the final state was reached according to the demonstration. The Simitate benchmark can improve the comparability of imitation learning approaches.