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Now showing items 21-30 of 48
Buch
Active Learning with Uncertain Annotators
(kassel university press, 2020)
In the digital age, many applications can benefit from collecting data. Classification algorithms, for example, are used to predict the class labels of samples (also termed data points, instances or observations). However, these methods require labeled instances to be trained on. Active learning is a machine learning paradigm where an active learner has to train a model (e.g., a classifier) which is in principle trained in a supervised way. Active learning has to be done by means of a data set where a low fraction ...
Buch
Beitrag zur Integration und Analyse sicherheitstechnischer Maßnahmen bei der Entwicklung eines kompletten Rechners auf FPGA-Basis
(kassel university press, 2020)
Die enorm große Marktnachfrage nach Managern für funktionale Sicherheit reflektiert, in welchem Maße die funktionale Sicherheit in den letzten Jahren an Bedeutung gewonnen hat. Wird zwei Dekaden zurückgeschaut, dann ist zu sehen, dass diese Wissenschaft für die Luftfahrt- und Prozessindustrie reserviert war. Heute findet sie den Einsatz in fast allen Industriebranchen. Ihren systematischen und rigorosen Charakter hat die funktionale Sicherheit trotz der signifikanten Modifikationen und Anpassungen nicht verloren. Das ...
Buch
A Holistic, Decision-Theoretic Framework for Pool-Based Active Learning
(kassel university press, 2021)
Efficient labeling is an important topic in machine learning research as classifiers need labeled data. Whereas unlabeled data is easily gathered, labeling is exhausting, time-consuming, or expensive and should, therefore, be reduced to a minimum. Active learning aims to actively select useful, unlabeled instances for label acquisition to reduce the labeling effort while providing labeled training data such that the classifier performs well. This thesis proposes Probabilistic Active Learning, a holistic, decision-theoretic ...
Buch
Handlungsbroschüre. Einführung eines DSGVO-konformen Videokonferenzsystems in hessischen Schulen. Projektergebnisse des ZEVEDI Ad hoc-Vorhabens „Wechselkosten zum DSGVO-konformen VC-System des Schulportals Hessen“
(kassel university press, 2023)
Die Pandemie hat zu einem abrupten Umstellen des Präsenz‐Schulbetriebs auf Online‐Lehre gezwungen. Man könnte auch von einem Digitalisierungszwang sprechen. Nach der Pandemie gilt es zu analysieren, was gut und bewahrenswert ist und was verändert werden muss – aus unterschiedlichsten Gründen. Zudem gilt es diese Phase, die 2020 mit Notmaßnahmen begann, als Chance zu begreifen, und das Momentum für mehr und gute digitale Lösungen zu nutzen. In Hessen (und darüber hinaus) gilt es nun zukunftsfähige Infrastrukturen für ...
Working paper
Towards Interdisciplinary Design Patterns for Ubiquitous Computing Applications
(kassel university press, 2014)
Der vorliegende Band ist ein zweiter Technischer Bericht, der aus dem Forschungsschwerpunkt LOEWE-VENUS hervorgegangen ist. Aufbauend auf Band 1 der ITeG Technical Reports, der die VENUS-Entwicklungsmethode als kompletten Entwicklungszyklus vorstellt, wird hier herausgearbeitet, inwieweit Ergebnisse aus der Entwicklung dieser neuen interdisziplinären Gestaltungsmethodik bereits als Vorgaben in Form von Mustern standardisiert und wiederverwendet werden können. Durch diese Muster sozialverträglicher Informationstechn ...
Buch
Organic Computing
(kassel university press, 2021)
The Organic Computing Doctoral Dissertation Colloquium (OC-DDC) series is part of the Organic Computing (OC) initiative which is steered by a Special Interest Group of the German Society of Computer Science (Gesellschaft für Informatik e.V.). It provides an environment for PhD students who have their research focus within the broader OC community to discuss their PhD project and current trends in the corresponding research areas, including, for instance, research in the context of Autonomic Computing, Self-adaptive ...
Buch
Off-Board Car Diagnostics Based on Heterogeneous, Highly Imbalanced and High-Dimensional Data Using Machine Learning Techniques
(kassel university press, 2019)
Data-driven maintenance poses many challenges. Four very important of them, namely coping with a high dimensional and heterogeneos feature space, the highly imbalanced data sets, the Remaining Useful Lifetime (RUL) prediction of monitored parts based on short yet variable length timeseries, and already large but steadily further increasing data set size are identified. Each of the challenges is dealt with in one chapter. Novel techniques are designed, implemented, validated, and compared to existing approaches based ...
Buch
Fast Online Control based on Homotopies for Systems subject to Time-Varying Constraints
(kassel university press, 2020)
The integration of intelligent, autonomously acting systems into modern society is a rapidly growing field. After robots are established for simple, recurring processes in industry and everyday life, more complex tasks are of interest which require the systems to consider the environment in their decision making process. In the future, intelligent systems will get access to fields like autonomous driving cars, unmanned aerial vehicle (UAV), manufacturing processes, household, or the assistance to people in need of ...
Buch
Organic Computing
(kassel university press, 2023)
Electromobility plays an increasingly important role in the energy transition. Electric vehicle charging poses challenges to the electricity grid due to high peak demand situations. Therefore, it is crucial to leverage the vehicle’s flexibility when charging can be delayed. Conventional charging management systems cannot adapt to frequently changing conditions such as fluctuating renewable energy output, electricity prices and user behavior. In this article, we investigate the application of reinforcement learning ...
Buch
Secure Volunteer Computing for Distributed Cryptanalysis
(kassel university press, 2018)
Volunteer computing offers researchers and developers the possibility to distribute their huge computational jobs to the computers of volunteers. So, most of the overall cost for computational power and maintenance is spread across the volunteers. This makes it possible to gain computing resources that otherwise only expensive grids, clusters, or supercomputers offer. Most volunteer computing solutions are based on a client-server model. The server manages the distribution of subjobs to the computers of volunteers, ...