Refine
H-BRS Bibliography
- yes (4918) (remove)
Departments, institutes and facilities
- Fachbereich Wirtschaftswissenschaften (1243)
- Fachbereich Informatik (1148)
- Fachbereich Angewandte Naturwissenschaften (766)
- Fachbereich Ingenieurwissenschaften und Kommunikation (636)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (480)
- Präsidium (403)
- Fachbereich Sozialpolitik und Soziale Sicherung (402)
- Institute of Visual Computing (IVC) (313)
- Institut für funktionale Gen-Analytik (IFGA) (241)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (195)
Document Type
- Article (1603)
- Conference Object (1119)
- Part of a Book (690)
- Part of Periodical (410)
- Book (monograph, edited volume) (370)
- Report (145)
- Preprint (88)
- Working Paper (87)
- Contribution to a Periodical (83)
- Doctoral Thesis (70)
Year of publication
Keywords
- Lehrbuch (85)
- Deutschland (27)
- Nachhaltigkeit (27)
- Controlling (23)
- Unternehmen (23)
- Digitalisierung (17)
- Management (17)
- Betriebswirtschaftslehre (16)
- Machine Learning (16)
- Corporate Social Responsibility (15)
Bond Graph Modelling of Engineering Systems: Theory, Applications and Software Support addresses readers to consider the potential and the state-of-the-art of bond graph modeling of engineering systems with respect to theory, applications and software support. Bond graph modelling is a physical modelling methodology based on first principles that is particularly suited for modelling multidisciplinary or mechatronic systems. This book covers theoretical issues and methodology topics that have been subject of ongoing research during past years, presents new promising applications such as the bond graph modeling of fuel cells and illustrates how bond graph modeling and simulation of mechatronic systems can be supported by software. This up-to-date comprehensive presentation of various topics has been made possible by the cooperation of a group of authors who are experts in various fields and share the “bond graph way of thinking.”
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of single-node mainstream hardware architectures for High Performance Computing. Performance parameters of recent processors, including those of accelerators, are determined. The investigated systems are Intel server processor architectures and the two accelerator lines Intel Xeon Phi and Nvidia graphic processors. Additionally, the performance impact of thread mapping on multiprocessors and Intel Xeon Phi is shown. The results show similarities for some parameters between all architectures, but significant differences for others.
In this paper, several blocking techniques are applied to matrices that do not have a strong blocked structure. The aim is to efficiently use vectorization with current CPUs, even for matrices without an explicit block structure on nonzero elements. Different approaches are known to find fixed or variable sized blocks of nonzero elements in a matrix. We present a new matrix format for 2D rectangular blocks of variable size, allowing fill-ins per block of explicit zero values up to a user definable threshold. We give a heuristic to detect such 2D blocks in a sparse matrix. The performance of a Sparse Matrix Vector Multiplication for chosen block formats is measured and compared. Results show that the benefit of blocking formats depend – as to be expected – on the structure of the matrix and that variable sized block formats can have advantages over fixed size formats.
Controlling und Leadership: Überlegungen im Kontext der Unternehmensnachfolge in Familienunternehmen
(2017)
Controlling und Leadership
(2017)
Nach der aktuellen Managementliteratur reicht es nicht mehr aus, ein Unternehmen „nur“ zu führen. Von Führungskräften wird heute auch „Leadership“ verlangt und somit Eigenschaften wie Berufung, Vision und Entscheidungsfreude, die über das Beherrschen von mechanistischen Führungstechniken hinausgehen. Der Manager kontrolliert, verwaltet und rationalisiert, während der Leader vertraut, inspiriert und innoviert. Im Fokus stehen die folgenden Fragen: Ist der ideale CFO eher methodischer Manager als visionärer Business Leader? Erfordern Familienunternehmen eher innovatives Financial Leadership und börsennotierte Konzerne und öffentliche Unternehmen eher instrumentelles Finanzmanagement? Geben Industrie 4.0, Big Data und Business Intelligence sowie Controlling-Shared-Services zukünftig Raum für mehr Leadership? Wie verändert dies die zukünftigen Aufgaben und notwendigen Kompetenzen von Controllern?
Softwarenutzung im Umbruch: Von der Software-Lizenz zum Cloudbasierten Business Process Outsourcing
(2017)
SDN and WMN evolved to be sophisticated technologies used in a variety of applications. However, a combined approach called wmSDN has not been widely addressed in the research community. Our idea in this field consists of WiFi-based point-to-point links managed by the OpenFlow protocol. We investigate two different issues regarding this idea. First, which WiFi operational mode is suitable in an OpenFlow managed broadcast domain? Second, does the performance decrease compared with other routing or switching principles? Therefore, we set up a real-world testbed and a suitable simulation environment. Unlike previous work, we show that it is possible to use WiFi links without conducting MAC address rewriting at each hop by utilizing the 4-address-mode.
An der Hochschule Bonn-Rhein-Sieg fand im September 2016 das dritte internationale Symposium für Odorologie „Faszinosum Spürhunde, Gefahren sichtbar machen – Gefahren abwenden“ statt. Die große Nachfrage bei Behörden, Hundeführern, Wissenschaft und Justiz zeigt auf, wie wichtig dieser Wissensaustausch auch weiterhin sein wird.
Die Welt der Hundenase und die Faszination, die die Zusammenarbeit mit dem „Besten Freund des Menschen“ mit sich bringt, eröffnet uns immer weitere Einsatzmöglichkeiten dieser Spürnase. Erfahrungsberichte, Fallbeispiele und Erkenntnisse aus Kynologie und Wissenschaft haben die Veranstaltung erneut zu einem Diskussionsforum gestaltet. Neue Projekte und interdisziplinäre Zusammenarbeit sind ins Leben gerufen worden und machen Neugierig auf zukünftige Veranstaltungen.
Supported by their large size and high resolution, display walls suit well for different collaboration types. However, in order to foster instead of impede collaboration processes, interaction techniques need to be carefully designed, taking into regard the possibilities and limitations of the display size, and their effects on human perception and performance. In this paper we investigate the impact of visual distractors (which, for instance, might be caused by other collaborators' input) in peripheral vision on short-term memory and attention. The distractors occur frequently when multiple users collaborate in large wall display systems and may draw attention away from the main task, as such potentially affecting performance and cognitive load. Yet, the effect of these distractors is hardly understood. Gaining a better understanding thus may provide valuable input for designing more effective user interfaces. In this article, we report on two interrelated studies that investigated the effect of distractors. Depending on when the distractor is inserted in the task performance sequence, as well as the location of the distractor, user performance can be disturbed: we will show that distractors may not affect short term memory, but do have an effect on attention. We will closely look into the effects, and identify future directions to design more effective interfaces.
Digitale Güter
(2016)
During exercise, heart rate has proven to be a good measure in planning workouts. It is not only simple to measure but also well understood and has been used for many years for workout planning. To use heart rate to control physical exercise, a model which predicts future heart rate dependent on a given strain can be utilized. In this paper, we present a mathematical model based on convolution for predicting the heart rate response to strain with four physiologically explainable parameters. This model is based on the general idea of the Fitness-Fatigue model for performance analysis, but is revised here for heart rate analysis. Comparisons show that the Convolution model can compete with other known heart rate models. Furthermore, this new model can be improved by reducing the number of parameters. The remaining parameter seems to be a promising indicator of the actual subject’s fitness.
Analyzing training performance in sport is usually based on standardized test protocols and needs laboratory equipment, e.g., for measuring blood lactate concentration or other physiological body parameters. Avoiding special equipment and standardized test protocols, we show that it is possible to reach a quality of performance simulation comparable to the results of laboratory studies using training models with nothing but training data. For this purpose, we introduce a fitting concept for a performance model that takes the peculiarities of using training data for the task of performance diagnostics into account. With a specific way of data preprocessing, accuracy of laboratory studies can be achieved for about 50% of the tested subjects, while lower correlation of the other 50% can be explained.