Refine
Year of publication
- 2018 (165) (remove)
Document Type
- Conference Proceeding (77)
- Article (43)
- Part of a Book (16)
- Book (8)
- Doctoral Thesis (8)
- Other Publications (8)
- Working Paper (4)
- Patent (1)
Has Fulltext
- no (165) (remove)
Keywords
- 3D Skelett Wickeltechnik (1)
- Actuators (1)
- Agenda 2030 (1)
- Aktuatorik (1)
- Anisotropic hyperelasticity (1)
- Anstand (2)
- Antenna arrays (1)
- Application Integration (1)
- Architektur (1)
- Auffangnorm UWG (1)
Institute
- Fakultät Architektur und Gestaltung (2)
- Fakultät Bauingenieurwesen (4)
- Fakultät Informatik (16)
- Fakultät Maschinenbau (8)
- Fakultät Wirtschafts-, Kultur- und Rechtswissenschaften (6)
- Institut für Angewandte Forschung - IAF (3)
- Institut für Optische Systeme - IOS (9)
- Institut für Strategische Innovation und Technologiemanagement - IST (10)
- Institut für Systemdynamik - ISD (15)
- Institut für professionelles Schreiben - IPS (2)
Business units are increasingly able to fuel the transformation that digitalization demands of organizations. Thereby, they can implement Shadow IT (SIT) without involving a central IT department to create flexible and innovative solutions. Self-reinforcing effects lead to an intertwinement of SIT with the organization. As a result, high complexities, redundancies, and sometimes even lock-ins occur. IT Integration suggests itself to meet these challenges. However, it can also eliminate the benefits that SIT presents. To help organizations in this area of conflict, we are conducting a literature review including a systematic search and an analysis from a systemic viewpoint using path dependency and switching costs. Our resulting conceptual framework for SIT integration drawbacks classifies the drawbacks into three dimensions. The first dimension consists of switching costs that account for the financial, procedural, and emotional drawbacks and the drawbacks from a loss of SIT benefits. The second dimension includes organizational, technical, and level-spanning criteria. The third dimension classifies the drawbacks into the global level, the local level, and the interaction between them. We contribute to the scientific discussion by introducing a systemic viewpoint to the research on shadow IT. Practitioners can use the presented criteria to collect evidence to reach an IT integration decision.
SDG Voyager - A practical guide to align business excellence with Sustainable Development Goals
(2018)
By now, an inflationary high number of international publications on the topic “Agenda 2030” exist. But unanswered to this day seems to be the question of how the CSR-management of a company can make a concrete contribution to the SDGs. Instead of unilaterally demanding the reporting of companies’ sustainability activities, the SDG Voyager starts earlier in the process with the intention of encouraging companies of all sizes to become familiar with the fields of action for corporate responsibility and to attend to these issues without feeling overwhelmed. Many companies will find that they are already making a big contribution to sustainable development in a number of fields. In other areas, however, there will still be an urgent need for action. The SDG Voyager aims to acquaint companies with these topics and support them to fulfill their responsibilities towards their stakeholders and society.
Unternehmen sind nur dann erfolgreich, wenn sie sich dem unternehmensethischen Spannungsfeld proaktiv stellen. Erfolg und Anstand sind zwei Seiten derselben Medaille: Unternehmen sind nicht erfolgreich, obwohl, sondern WEIL sie sich um ethisch korrektes Handeln bemühen! Das Delta zwischen ethischem Anspruch und dem von Markt und Wettbewerb Geforderten lässt sich niemals vollständig aufheben: Es gibt so wenig perfekte Unternehmen wie es perfekte Menschen gibt!
Aber: Individuen wie Organisationen können sich auf den Weg zur ethisch orientierten Business Excellence machen und in einem auf Dauer angelegten, kontinuierlichen Entwicklungsprozess darum ringen!
Der DEX Deutscher Ethik Index® gibt Auskunft darüber, ob der Erfolg eines Unternehmens auf anständige Weise erreicht wurde. Zielgruppe des veröffentlichten DEX sind alle Anspruchsgruppen (Stakeholder) und die Gesellschaft. Der DEX informiert darüber, ob das Unternehmen einen Mehrwert für alle seine Stakeholder schafft (= Stakeholder Value). Der DEX unterstützt Entscheidungen der Öffentlichkeit, ob einer Organisation aufgrund ihres Beitrags für die Gesellschaft die „License to Operate“ erteilt wird (= Shared Value).
Integrität in Unternehmen
(2018)
Unternehmen stehen in der Verantwortung, eine Vielzahl an Werten in ihrem Geschäft zu beachten, allen voran den der Integrität. Das Buch beantwortet die Frage, was Integrität für Unternehmen bedeutet und wie integres Unternehmenshandeln erreicht werden kann. Die Autorin entwickelt einen theoretisch fundierten und praktisch anwendbaren Ansatz der Unternehmensintegrität und gibt Orientierung, wie dieser durch vielfältige Maßnahmen im Rahmen von Integrity Management umgesetzt werden kann. Dabei werden klassische Compliance-Ansätze um eine werteorientierte Perspektive ergänzt, damit Unternehmen ihre je eigene Verantwortung wahrnehmen können.
Investigation of magnetic effects on austenitic stainless steels after low temperature carburization
(2018)
This work aims at investigating the magnetic effects of austenitc stainless steels which can occur after a low temperature carburisation depending on the alloy. Samples were prepared of different alloys and subjected to a multiple low temperature carburisation to obtain different treatment conditions for each alloy. The layer characterisation was carried out by light microscope and also by hardening profiles and shows that the layer develops with each additional treatment cycle. A lattice expansion could be detected in all treated samples by X-ray diffraction. Magnetisability was measured using Feritscope and SQUID measurements. Not all alloys showed magnetisability after treatment. In addition to MFM measurements, experiments with Ferrofluid were also used to visualize the magnetic areas. These studies show that only about half of the formed layer becomes magnetisable and has a domain-like structure.
In this paper we present a method using deep learning to compute parametrizations for B-spline curve approximation. Existing methods consider the computation of parametric values and a knot vector as separate problems. We propose to train interdependent deep neural networks to predict parametric values and knots. We show that it is possible to include B-spline curve approximation directly into the neural network architecture. The resulting parametrizations yield tight approximations and are able to outperform state-of-the-art methods.
Deep neural networks have been successfully applied to problems such as image segmentation, image super-resolution, coloration and image inpainting. In this work we propose the use of convolutional neural networks (CNN) for image inpainting of large regions in high-resolution textures. Due to limited computational resources processing high-resolution images with neural networks is still an open problem. Existing methods separate inpainting of global structure and the transfer of details, which leads to blurry results and loss of global coherence in the detail transfer step. Based on advances in texture synthesis using CNNs we propose patch-based image inpainting by a single network topology that is able to optimize for global as well as detail texture statistics. Our method is capable of filling large inpainting regions, oftentimes exceeding quality of comparable methods for images of high-resolution (2048x2048px). For reference patch look-up we propose to use the same summary statistics that are used in the inpainting process.
Knot placement for curve approximation is a well known and yet open problem in geometric modeling. Selecting knot values that yield good approximations is a challenging task, based largely on heuristics and user experience. More advanced approaches range from parametric averaging to genetic algorithms.
In this paper, we propose to use Support Vector Machines (SVMs) to determine suitable knot vectors for B-spline curve approximation. The SVMs are trained to identify locations in a sequential point cloud where knot placement will improve the approximation error. After the training phase, the SVM can assign, to each point set location, a so-called score. This score is based on geometric and differential geometric features of points. It measures the quality of each location to be used as knots in the subsequent approximation. From these scores, the final knot vector can be constructed exploring the topography of the score-vector without the need for iteration or optimization in the approximation process. Knot vectors computed with our approach outperform state of the art methods and yield tighter approximations.