@inproceedings{473, abstract = {{Additive Manufacturing (AM) describes a number of technologies that generate three-dimensional objects directly from CAD data by joining volume elements. Dental technology is one sector in which the benefits of AM come into effect, as parts such as frameworks or implants are unique objects often with freeform shapes. These objects are difficult and expensive to produce with subtractive or formative technology. During the last decades, the application of digital technologies in the dental industry has increased. Therefore AM has also evolved to become a standard dental framework manufacturing process. While previously the dental laboratory did the complete manufacturing of dental frameworks, AM parts are usually produced by service providers, thus increasing the number of process participants. Under these circumstances, a reliable high quality production must be ensured. This requires a comprehensive Quality Management (QM) concept for the whole process chain. A first step in the evelopment of this QM concept is the definition of the product requirements, from which process specifications can be determined. These specifications build the basis for evaluating the process capability of the Additive Manufacturing process.}}, author = {{Huxol, Andrea and Villmer, Franz-Josef}}, booktitle = {{Production Engineering and Management}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, keywords = {{Additive Manufacturing, Dental frameworks, Quality management, Digital manufacturing}}, location = {{Lemgo}}, number = {{1}}, pages = {{15--26}}, title = {{{Special Requirements for Additive Manufacturing of Dental Frameworks}}}, year = {{2016}}, } @misc{7943, author = {{Müller, Stefan and Stawinoga, Martin and Velte, Patrick}}, booktitle = {{Corporate ownership & control}}, issn = {{1727-9232}}, keywords = {{Corporate Disclosure, Stakeholder Relations, Corporate Social Responsibility Management, CSR reporting, Corporate Governance}}, number = {{4}}, pages = {{506--513}}, publisher = {{Virtus Interpress }}, title = {{{Stakeholder expectations on CSR management and current regulatory developments in Europe and Germany}}}, doi = {{https://doi.org/10.22495/cocv12i4c4p8}}, year = {{2015}}, } @misc{7947, author = {{Stawinoga, Martin and Velte, Patrick}}, booktitle = {{Problems and Perspectives in Management}}, issn = {{1810-5467 }}, keywords = {{corporate governance, business reporting, CSR reporting, CSR management.}}, number = {{2}}, pages = {{36--50}}, publisher = {{Business Perspectives}}, title = {{{CSR management and reporting between voluntary bonding and legal regulation. First empirical insights of the compliance to the German Sustainability Code}}}, volume = {{13}}, year = {{2015}}, } @article{2140, abstract = {{Recent industrial applications are implemented in a modular way, resulting in flexibility during the whole life cycle, i.e., setup, operation, and maintenance. This applies especially to larger applications like logistic, production, and printing processes. Their modular character is resulting from the constantly increasing complexity of such installations, which makes their supervision for securing reliable operation a difficult task: the data of hundreds (if not thousands) of signal sources must be acquired, communicated, and evaluated for system diagnosis. In this contribution we summarize the challenges arising in such applications and show that distributed sensor and information fusion for modular self-diagnosis tackles these challenges. Here, we propose an innovative distributed architecture encompassing intelligent sensor nodes, self-configuring real-time communication networks, and a suitable sensor and information fusion system for condition monitoring. New challenges arise in the context of distributed information fusion systems, which are identified and to which an outlook on future solutions is provided. A number of these solutions have already been discovered, implemented, and are evaluated in the context of a demonstrator, which resembles a real-world printing application.}}, author = {{Mönks, Uwe and Trsek, Henning and Dürkop, Lars and Geneiß, Volker and Lohweg, Volker}}, issn = {{0957-4158}}, journal = {{Mechatronics}}, keywords = {{Cyber-physical systems, Information fusion, Fusion system design, Intelligent sensors, Self-configuration, Intelligent networking}}, number = {{34}}, pages = {{63--71}}, publisher = {{Elsevier}}, title = {{{Towards distributed intelligent sensor and information fusion}}}, doi = {{10.1016/j.mechatronics.2015.05.005}}, year = {{2015}}, } @misc{13023, abstract = {{Transducers based on dielectric electroactive polymers (DEAP) use electrostatic pressure to convert electric energy into strain energy or vice versa. Besides this, they are also designed for sensor applications in monitoring the actual stretch state on the basis of the deformation dependent capacitive-resistive behavior of the DEAP. In order to enable an efficient and proper closed loop control operation of these transducers, e.g. in positioning or energy harvesting applications, on the one hand, sensors based on DEAP material can be integrated into the transducers and evaluated externally, and on the other hand, the transducer itself can be used as a sensor, also in terms of self-sensing. For this purpose the characteristic electrical behavior of the transducer has to be evaluated in order to determine the mechanical state. Also, adequate online identification algorithms with sufficient accuracy and dynamics are required, independent from the sensor concept utilized, in order to determine the electrical DEAP parameters in real time. Therefore, in this contribution, algorithms are developed in the frequency domain for identifications of the capacitance as well as the electrode and polymer resistance of a DEAP, which are validated by measurements. These algorithms are designed for self-sensing applications, especially if the power electronics utilized is operated at a constant switching frequency, and parasitic harmonic oscillations are induced besides the desired DC value. These oscillations can be used for the online identification, so an additional superimposed excitation is no longer necessary. For this purpose a dual active bridge (DAB) is introduced to drive the DEAP transducer. The capabilities of the real-time identification algorithm in combination with the DAB are presented in detail and discussed, finally.}}, author = {{Hoffstadt, Thorben and Griese, Martin and Maas, Jürgen}}, booktitle = {{Smart Materials and Structures}}, issn = {{1361-665X}}, keywords = {{dielectric electroactive polymer, identification algorithm, self-sensing, DEAP sensor}}, location = {{Snowbird, UT}}, number = {{10}}, publisher = {{IOP Publishing}}, title = {{{Online identification algorithms for integrated dielectric electroactive polymer sensors and self-sensing concepts}}}, doi = {{10.1088/0964-1726/23/10/104007}}, volume = {{23}}, year = {{2014}}, } @misc{10164, abstract = {{Cognitive radios (CR) can sense and detect temporarily available spectral holes for an opportunistic operation to improve the spectral efficiency and coexistence of industrial radio systems. It will be of particular interest for a CR system to apply predictive modeling in order to forecast the behavior of the coexisting environment. A secondary cognitive user shall use preemptive tuning of its operating parameters following the predictive model. However, a considerable challenge is to generate an accurate model and predict efficiently in order to meet strict time related requirements of industrial applications. Such predictive modeling has already gained some attention but real-time experimental results have never been reported to the best of our knowledge. In this contribution we investigate the performance of a Markov model based CR system using simulative and experimental environments for its application in industrial systems.}}, author = {{Ahmad, Kaleem and Meier, Uwe and Witte, Stefan}}, booktitle = {{Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012)}}, isbn = {{978-1-4673-4735-8 }}, keywords = {{cognitive radio, Markov processes, radio spectrum management}}, location = {{Krakow, Poland }}, publisher = {{IEEE}}, title = {{{Predictive Oppertunistic Spectrum Access Using Markov Models}}}, doi = {{10.1109/ETFA.2012.6489557}}, year = {{2012}}, } @misc{1158, abstract = {{This thesis is a concept how to build up a media archive for the department of media production of University of Applied Science in Lemgo. It serves two purposes, the perma-nent storage of media data and forms a base to allow the creation of high quality presen-tation material. It contains an analysis of the current situation concerning collecting, storing and processing media data as well as ideas to alter the system. Furthermore guidelines are developed for diverse areas, e.g. data management, data storage and or-ganisation. The aim of this project is to improve public relations and therefore the image and exterior view of the department.}}, author = {{Bandeck, Stefan}}, keywords = {{Media archive, MIA, public relations, data management, data storage, data processing}}, pages = {{76}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Media Archive (MIA) 2011}}}, year = {{2011}}, } @misc{1164, author = {{Großwald, Niklas}}, keywords = {{Digital Rights Management, Web-Seite}}, pages = {{67}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Konzeption und Realisierung einer interaktiven CNS-basierten Web-Anwendung}}}, year = {{2011}}, }