Refine
Year of publication
- 2021 (229) (remove)
Institute
- Fachbereich Gestaltung (55)
- Fachbereich Medizintechnik und Technomathematik (46)
- IfB - Institut für Bioengineering (32)
- Fachbereich Elektrotechnik und Informationstechnik (26)
- Fachbereich Luft- und Raumfahrttechnik (23)
- Fachbereich Wirtschaftswissenschaften (21)
- Fachbereich Energietechnik (19)
- Fachbereich Bauingenieurwesen (13)
- ECSM European Center for Sustainable Mobility (10)
- Fachbereich Maschinenbau und Mechatronik (10)
Has Fulltext
- no (229) (remove)
Document Type
- Article (90)
- Conference Proceeding (52)
- Bachelor Thesis (49)
- Part of a Book (17)
- Book (6)
- Master's Thesis (4)
- Report (4)
- Doctoral Thesis (2)
- Review (2)
- Conference: Meeting Abstract (1)
Keywords
- Animation (3)
- Holz (3)
- Mode (3)
- Nachhaltigkeit (3)
- Redesign (3)
- UX Design (3)
- App (2)
- Bookazine (2)
- Corporate Design (2)
- Corporate Identity (2)
In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine.
(K)eine Opposition: Die Wahlkampfgestaltung der SPD und CDU von 1945—1990 im historischen Kontext
(2021)
Im Zentrum des Buches stehen die beiden Volksparteien CDU und SPD, die sich als gegensätzliche, gar verfeindete Parteien startend, gegenwärtig in ihren visuellen und inhaltlichen Identitäten immer unerkenntlicher vermischen. Das Buch geht dem Ursprung dieser Vermischung auf die Spur und untersucht inwiefern sich die visuellen Identitäten der beiden Parteien zwischen 1945 und 1990 in Form der Gestaltung nach außen aneinander angeglichen haben und wer wann federführend in der Gestaltung war.
Beginnend 1945 in der »Stunde Null« führt das Buch in den einzelnen Kapiteln durch das Zeitgeschehen der Bundesrepublik bis ins Jahr 1990. Der historische Querschnitt beleuchtet dabei das gesellschaftspolitische Zeitgeschehen, das den Wahlkämpfen zugrunde liegt. Dabei stehen die politischen Wahlplakate im Fokus der Untersuchung: SPD und CDU — (k)eine gestalterische Opposition?
Durch die Urbanisierung, wird es in Städten immer enger und der Verkehr nimmt zu. Das hat hohe Emissionen und Platzmangel zur Folge. In der Masterarbeit wurde die Abhängigkeit zum Auto in der Stadt hinterfragt und ein Konzept erarbeitet, welches die Autonutzung und den Autobesitz ablöst. Dabei entstand ein neuer Fahrradanhänger, der eine multifunktionale Nutzung zulässt und einen elektrischen Antrieb besitzt. Dadurch bietet er einen komfortablen Support im Alltag. Zudem wurde ein Geschäftskonzept entwickelt, welches ermöglicht, den Anhänger mit einem digitalen Ausleihsystem unter Nachbarn oder Freunden zu teilen. Ein wichtiges Kriterium für das Produkt und den Service war, dass die Mobilität der Zukunft nicht nur nachhaltig sein soll, sondern auch Laune machen muss.
The Last Sketch
(2021)
Das Projekt thematisiert, in Form eines Animationsfilms, den Umgang eines Vaters mit dem Tod seines Kindes
und den Versuch den Weg zurück zu sich selbst und ins Leben zu finden.
Das Ziel war es die Emotionen der Schauspieler in einen Animationsfilm authentisch zu implementieren. Um den Animationsfilm situationsgerecht erzählen zu können, wurde das Verständnis für Trauer in den Vordergrund gestellt.
Dazu wurden digitale Drehs durchgeführt und viele Bereiche der 3D Gestaltung angewendet.
Viele der Betroffenen erleben besonders in den ersten Tagen nach dem Verlust ihres Kindes nicht das notwendige Verständnis für ihre Trauer.
Diese Projektarbeit möchte aufzeigen, wie unterschiedlich Menschen trauern und wie sie sich in ihrer Verschiedenheit verlieren können,
besonders wenn es um das gemeinsame Kind geht.
Wenn ein Kind im Sterben liegt, steht für die Eltern sein Wohlbefinden an erster Stelle. Sie wollen alles richtig machen.
Der Protagonist des Films (Teo) und seine Frau Mia haben jedoch unterschiedliche Vorstellung davon, was das Richtige ist und auch nach dem
Tod ihres Kindes haben sie unterschiedliche Bewältigungsstrategien, um mit diesem Schicksalsschlag umzugehen.
Einer der Gründe, warum 80% der Ehepaare sich nach so einem Schicksalsschlag trennen liegt in genau dieser Problematik, weswegen es wichtig ist, diese Thematik zu beleuchten.
The initial idea of Robotic Process Automation (RPA) is the automation of business processes through a simple emulation of user input and output by software robots. Hence, it can be assumed that no changes of the used software systems and existing Enterprise Architecture (EA) is
required. In this short, practical paper we discuss this assumption based on a real-life implementation project. We show that a successful RPA implementation might require architectural work during analysis, implementation, and migration. As practical paper we focus on exemplary lessons-learned and new questions related to RPA and EA.
Digital Shadows as the aggregation, linkage and abstraction of data relating to physical objects are a central vision for the future of production. However, the majority of current research takes a technocentric approach, in which the human actors in production play a minor role. Here, the authors present an alternative anthropocentric perspective that highlights the potential and main challenges of extending the concept of Digital Shadows to humans. Following future research methodology, three prospections that illustrate use cases for Human Digital Shadows across organizational and hierarchical levels are developed: human-robot collaboration for manual work, decision support and work organization, as well as human resource management. Potentials and challenges are identified using separate SWOT analyses for the three prospections and common themes are emphasized in a concluding discussion.
Quantitative nuclear magnetic resonance (qNMR) is routinely performed by the internal or external standardization. The manuscript describes a simple alternative to these common workflows by using NMR signal of another active nuclei of calibration compound. For example, for any arbitrary compound quantification by NMR can be based on the use of an indirect concentration referencing that relies on a solvent having both 1H and 2H signals. To perform high-quality quantification, the deuteration level of the utilized deuterated solvent has to be estimated.
In this contribution the new method was applied to the determination of deuteration levels in different deuterated solvents (MeOD, ACN, CDCl3, acetone, benzene, DMSO-d6). Isopropanol-d6, which contains a defined number of deuterons and protons, was used for standardization. Validation characteristics (precision, accuracy, robustness) were calculated and the results showed that the method can be used in routine practice. Uncertainty budget was also evaluated. In general, this novel approach, using standardization by 2H integral, benefits from reduced sample preparation steps and uncertainties, and can be applied in different application areas (purity determination, forensics, pharmaceutical analysis, etc.).
The investigation of the possibility to determine various characteristics of powder heparin (n = 115) was carried out with infrared spectroscopy. The evaluation of heparin samples included several parameters such as purity grade, distributing company, animal source as well as heparin species (i.e. Na-heparin, Ca-heparin, and heparinoids). Multivariate analysis using principal component analysis (PCA), soft independent modelling of class analogy (SIMCA), and partial least squares – discriminant analysis (PLS-DA) were applied for the modelling of spectral data. Different pre-processing methods were applied to IR spectral data; multiplicative scatter correction (MSC) was chosen as the most relevant.
Obtained results were confirmed by nuclear magnetic resonance (NMR) spectroscopy. Good predictive ability of this approach demonstrates the potential of IR spectroscopy and chemometrics for screening of heparin quality. This approach, however, is designed as a screening tool and is not considered as a replacement for either of the methods required by USP and FDA.
In this study, a recently proposed NMR standardization approach by 2H integral of deuterated solvent for quantitative multicomponent analysis of complex mixtures is presented. As a proof of principle, the existing NMR routine for the analysis of Aloe vera products was modified. Instead of using absolute integrals of targeted compounds and internal standard (nicotinamide) from 1H-NMR spectra, quantification was performed based on the ratio of a particular 1H-NMR compound integral and 2H-NMR signal of deuterated solvent D2O. Validation characteristics (linearity, repeatability, accuracy) were evaluated and the results showed that the method has the same precision as internal standardization in case of multicomponent screening. Moreover, a dehydration process by freeze drying is not necessary for the new routine. Now, our NMR profiling of A. vera products needs only limited sample preparation and data processing. The new standardization methodology provides an appealing alternative for multicomponent NMR screening. In general, this novel approach, using standardization by 2H integral, benefits from reduced sample preparation steps and uncertainties, and is recommended in different application areas (purity determination, forensics, pharmaceutical analysis, etc.).
The molecular weight properties of lignins are one of the key elements that need to be analyzed for a successful industrial application of these promising biopolymers. In this study, the use of 1H NMR as well as diffusion-ordered spectroscopy (DOSY NMR), combined with multivariate regression methods, was investigated for the determination of the molecular weight (Mw and Mn) and the polydispersity of organosolv lignins (n = 53, Miscanthus x giganteus, Paulownia tomentosa, and Silphium perfoliatum). The suitability of the models was demonstrated by cross validation (CV) as well as by an independent validation set of samples from different biomass origins (beech wood and wheat straw). CV errors of ca. 7–9 and 14–16% were achieved for all parameters with the models from the 1H NMR spectra and the DOSY NMR data, respectively. The prediction errors for the validation samples were in a similar range for the partial least squares model from the 1H NMR data and for a multiple linear regression using the DOSY NMR data. The results indicate the usefulness of NMR measurements combined with multivariate regression methods as a potential alternative to more time-consuming methods such as gel permeation chromatography.
Subject of this case is Deutsche Telekom Services Europe (DTSE), a service center for administrative processes. Due to the high volume of repetitive tasks (e.g., 100k manual uploads of offer documents into SAP per year), automation was identified as an important strategic target with a high management attention and commitment. DTSE has to work with various backend application systems without any possibility to change those systems. Furthermore, the complexity of administrative processes differed. When it comes to the transfer of unstructured data (e.g., offer documents) to structured data (e.g., MS Excel files), further cognitive technologies were needed.
Robotic process automation (RPA) has attracted increasing attention in research and practice. This chapter positions, structures, and frames the topic as an introduction to this book. RPA is understood as a broad concept that comprises a variety of concrete solutions. From a management perspective RPA offers an innovative approach for realizing automation potentials, whereas from a technical perspective the implementation based on software products and the impact of artificial intelligence (AI) and machine learning (ML) are relevant. RPA is industry-independent and can be used, for example, in finance, telecommunications, and the public sector. With respect to RPA this chapter discusses definitions, related approaches, a structuring framework, a research framework, and an inside as well as outside architectural view. Furthermore, it provides an overview of the book combined with short summaries of each chapter.
The benefits of robotic process automation (RPA) are highly related to the usage of commercial off-the-shelf (COTS) software products that can be easily implemented and customized by business units. But, how to find the best fitting RPA product for a specific situation that creates the expected benefits? This question is related to the general area of software evaluation and selection. In the face of more than 75 RPA products currently on the market, guidance considering those specifics is required. Therefore, this chapter proposes a criteria-based selection method specifically for RPA. The method includes a quantitative evaluation of costs and benefits as well as a qualitative utility analysis based on functional criteria. By using the visualization of financial implications (VOFI) method, an application-oriented structure is provided that opposes the total cost of ownership to the time savings times salary (TSTS). For the utility analysis a detailed list of functional criteria for RPA is offered. The whole method is based on a multi-vocal review of scientific and non-scholarly literature including publications by business practitioners, consultants, and vendors. The application of the method is illustrated by a concrete RPA example. The illustrated
structures, templates, and criteria can be directly utilized by practitioners in their real-life RPA implementations. In addition, a normative decision process for selecting RPA alternatives is proposed before the chapter closes with a discussion and outlook.
Intelligent autonomous software robots replacing human activities and performing administrative processes are reality in today’s corporate world. This includes, for example, decisions about invoice payments, identification of customers for a marketing campaign, and answering customer complaints. What happens if such a software robot causes a damage? Due to the complete absence of human activities, the question is not trivial. It could even happen that no one is liable for a damage towards a third party, which could create an uncalculatable legal risk for business partners. Furthermore, the implementation and operation of those software robots involves various stakeholders, which result in the unsolvable endeavor of identifying the originator of a damage. Overall it is advisable to all involved parties to carefully consider the legal situation. This chapter discusses the liability of software robots from an interdisciplinary perspective. Based on different technical scenarios the legal aspects of liability are discussed.
Einfluss von Künstlicher Intelligenz auf Customer Journeys am Beispiel von intelligentem Parken
(2021)
Im Konsumentenmarkt entstehen vermehrt neue Anwendungen von Künstlicher
Intelligenz (KI). Zunehmend drängen auch Geräte und Dienste in den Markt, die
eigenständig über das Internet kommunizieren. Dadurch können diese Geräte und
Dienste mit neuartigen KI-basierten Diensten verbessert werden. Solche Dienste
können die Art und Weise beeinflussen, wie Kunden kommerzielle Entscheidungen
treffen und somit das Kundenerlebnis maßgeblich verändern. Der Einfluss von KI
auf kommerzielle Interaktionen wurde bisher noch nicht umfassend untersucht.
Basierend auf einem Framework, welches einen ersten Überblick über die Effekte
von KI auf kommerzielle Interaktionen gibt, wird in diesem Kapitel der Einfluss von KI auf Customer Journeys am konkreten Anwendungsfall des intelligenten Parkens analysiert. Die daraus gewonnenen Erkenntnisse können in der Praxis als Grundlage
genutzt werden, um das Potenzial von KI zu verstehen und bei der Gestaltung eigener Customer Journeys umzusetzen.