Refine
H-BRS Bibliography
- yes (618) (remove)
Departments, institutes and facilities
- Fachbereich Wirtschaftswissenschaften (304)
- Fachbereich Sozialpolitik und Soziale Sicherung (96)
- Fachbereich Ingenieurwissenschaften und Kommunikation (62)
- Fachbereich Angewandte Naturwissenschaften (58)
- Fachbereich Informatik (42)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (25)
- Institut für Verbraucherinformatik (IVI) (24)
- Institut für funktionale Gen-Analytik (IFGA) (23)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (18)
- Institut für Medienentwicklung und -analyse (IMEA) (14)
- Institut für Soziale Innovationen (ISI) (10)
- Zentrum für Ethik und Verantwortung (ZEV) (10)
- Centrum für Entrepreneurship, Innovation und Mittelstand (CENTIM) (8)
- Institute of Visual Computing (IVC) (6)
- Sprachenzentrum (6)
- Institut für Cyber Security & Privacy (ICSP) (5)
- Institut für Existenzgründung und Mittelstandsförderung (IfEM) (3)
- Bibliothek (2)
- Präsidium (2)
- Stabsstelle Kommunikation und Marketing (2)
- Verwaltung (2)
- Zentrum für Wissenschafts- und Technologietransfer (ZWT) (2)
- Institut für Detektionstechnologien (IDT) (1)
- Institut für Sicherheitsforschung (ISF) (1)
- Zentrum für Innovation und Entwicklung in der Lehre (ZIEL) (1)
Document Type
- Part of a Book (618) (remove)
Year of publication
Has Fulltext
- no (618) (remove)
Keywords
- Nachhaltigkeit (7)
- Digitalisierung (6)
- Globalisierung (4)
- Management (4)
- Multinationales Unternehmen (4)
- Rehabilitation (4)
- Sozialversicherungswissenschaft (4)
- Arbeitswelt (3)
- Deutschland (3)
- Lignin (3)
20 Jahre Hochschul- und Kreisbibliothek Bonn-Rhein-Sieg: Eine ungewöhnliche Erfolgsgeschichte
(2018)
Als am 28. September 1998 Oberkreisdirektor Frithjof Kühn (der spätere Landrat) und Kreisdirektorin Monika Lohr für den Rhein-Sieg-Kreis sowie Gründungsrektor Prof. Dr. Hubert Severin und Kanzler Hans Stender für die Fachhochschule Rhein-Sieg (heute Hochschule Bonn-Rhein-Sieg) einen Kooperationsvertrag unterschrieben, taten sie etwas sehr Ungewöhnliches: Die wissenschaftliche Bibliothek der Fachhochschule und die öffentliche Bibliothek des Rhein-Sieg-Kreises sollten organisatorisch und räumlich zusammengelegt werden.
Innovative Technologien, veränderte Anbieterstrukturen, stets neue Leistungsangebote und wandelnde Kundenanforderungen prägen und verändern von Beginn an das Erscheinungsbild des TK-Marktes. Unter Berücksichtigung einer Betrachtung im Zeitablauf lässt sich der Markt in drei aufeinanderfolgende Phasen einteilen: 1. Marktöffnung, 2. Konsolidierung und Optimierung, 3. Automatisierung. Die Phasen sind selbstverständlich nicht Überschneidungsfrei, geben jedoch einen Hinweis auf die strukturellen Veränderungen des Marktes.
50 Jahre: Von der FH zur HAW
(2022)
A Bicycle Simulator Based on a Motion Platform in a Virtual Reality Environment - FIVIS Project
(2007)
In the last 5 years a close co-operation between the Bonn-Rhein-Sieg University of Applied Sciences and the Philips Research Laboratories in Aachen has been established. In this article I want to report on the co-operation of the Department of Electrical Engineering, Mechanical Engineering and Technical Journalism with Philips. Besides a number of diploma theses on the field of water treatment with new discharge lamps, power electronics and modelling of electromagnetic field configurations, there is running also an activity on a new generation of highly efficient light sources based on molecular discharges.
Timely recognition of threats can be significantly supported by security assistance systems that work continuously in time and call the security personnel in case of anomalous events in the surveillance area. We describe the concept and the realization of an indoor security assistance system for real-time decision support. The system consists of a computer vision module and a person classification module. The computer vision module provides a video event analysis of the entrance region in front of the demonstrator. After entering the control corridor, the persons are tracked, classified, and potential threats are localized inside the demonstrator. Data for the person classification are provided by chemical sensors detecting hazardous materials. Due to their limited spatio-temporal resolution, a single chemical sensor cannot localize this material and associate it with a person. We compensate this deficiency by fusing the output of multiple, distributed chemical sensors with kinematical data from laser-range scanners. Considering both the computer vision formation and the results of the person classification affords the localization of threats and a timely reaction of the security personnel.
Embryonic stem cells (ES) have the potential of long-term viability, selfrenewal and pluripotency which makes them interesting candidates for tissue engineering and gene therapy applications. On the other hand ethical and political issues arise while using theses cells and severe problems such as their tumorgenicity have not been solved yet. In the last couple of month a new source of cells with stem cell character was developed, the induced pluripotent stem cells (iPS). These cells are derived from differentiated adult cells via transduction of three transcription factors and show features similar to embryonic stem cells. Unfortunately, this includes the tumorgenicity which is even higher in those cells since the transcription factor transduction needed until now, is performed with retrovial vectors, which have a tumor potential on their own. Thus, adult stem cells are investigated extensively as alternative source of self-renewing cells. Human mesenchymal stem cells (HMSCs), which have in addition the advantage of potential autologous transplantation, can be found in various differentiated tissues since they are needed for maintenance and repair. They can be differentiated in chondrogenic, osteogenic, adipogenic and myogenic lineages which makes them an excellent tool for future tissue replacement strategies.
Analysis of Synthetic Polymers and Copolymers by Pyrolysis- Gas Chromatography/Mass Spectrometry
(2005)
Structural analysis and the study of degradation properties are important in order to understand and improve performance characteristics of synthetic polymers and copolymers in many industrial applications. Polymers/copolymers are inherently difficult to analyze because of their high molecular weight and lack of volatility. Traditionally, various analytical techniques are used to characterize polymers/copolymers including physical testing (rheological testing), thermogravimetric analysis (TGA), electron microscopy, Fourier transform infrared (FTIR) spectroscopy, size-exclusion chromatography (SEC)/gel permeation chromatography (GPC), and mass spectrometry (MS). Often, time consuming sample preparation, including hydrolysis, dissolution, or derivatization is needed before analysis.
A soluble form of the complement receptor CD21 (sCD21) is shed from the lymphocyte surface. The sCD21 is able to bind all known ligands such as CD23, sCD23, Epstein-Barr virus and C3d in immune complexes. Here, we show the serum levels of sCD21 in sera the of antiphospholipid syndrome (APS) patients. Antiphospholipid syndrome is an autoimmune disorder in which autoantibodies cause heart attack, stroke and miscarriage. Antiphospholipid syndrome may appear as primary or in association with systemic lupus erythromatosus (SLE) and other autoimmune diseases. Here, we ask whether APS patients have different sCD21 titers compared to healthy persons and whether sCD21 levels correlate with the presence of anti-β2-GPI autoantibodies. We show that autoimmune APS patients have significantly reduced amounts of sCD21 in their sera, irrespective of the presence of anti-β2-GPI autoantibodies. In our APS patients cohort additional SLE, vasculities, DVT (deep vein thrombosis), fetal loss or thrombosis did not correlate to the reduced level of sCD21.
Arbeitsentgelt (IIA 70)
(2005)
Arbeitszeit (II A 90)
(2005)
Aufhebungsvertrag (II A 100)
(2005)
Nachhaltig gestiegene Energiepreise haben vor dem Hintergrund begrenzter IT-Budgets zum Nach- und teilweise auch Umdenken geführt. Ähnlich der „Bio-Welle“ im Lebensmittelbereich ist derzeit eine „Grüne-Welle“ unter IT-Anbietern und deren Kunden zu verspüren. Unter Green IT kann der energiesparende Umgang mit IT-Ressourcen verstanden werden. Hierzu gehören energiesparende Investitionen in Hardware, Software und Services, aber auch Veränderungen in der Geschäfts- und IT-Strategie. Allerdings zeigen verschiedene Studien, dass noch kein durchgängiges Verständnis über Green IT existiert. In vielen Fällen sind dem IT-Management die Energiekosten für den Betrieb zentraler IT-Systeme (Server im Rechenzentrum u. a.) und dezentraler Arbeitsplatzsysteme (Desktops, Laptops u. a.) weitgehend unbekannt. Eine aktuelle Umfrage hat ergeben, dass ein Drittel der Unternehmen ihre Energiekosten für den Betrieb der IT nicht kennen. Zudem werden bei Investitionsentscheidungen die Energiekosten nur rudimentär oder gar nicht in den Entscheidungsprozess einbezogen. Gleichzeitig prognostizieren Analysten wie die Gartner Group einen stark steigenden Markt für IT-Leistungen, die unter dem Schlagwort „Green IT“ vermarktet werden. Stand bislang die Einsparung von Energiekosten im zentralen Rechenzentrum im Vordergrund, weiten sich die Bemühungen auch im dezentralen IT-Umfeld, also in den Büros mit ihren Arbeitsplatzsystemen (Desktops, Laptops etc.) aus. Nach Untersuchungen der Experton Group fallen mehr als 60 % der IT-getriebenen Energiekosten außerhalb des Rechenzentrums an, also in Büros und anderen Unternehmensbereichen.
In Artificial Intelligence, numerous learning paradigms have been developed over the past decades. In most cases of embodied and situated agents, the learning goal for the artificial agent is to „map“ or classify the environment and the objects therein [1, 2], in order to improve navigation or the execution of some other domain-specific task. Dynamic environments and changing tasks still pose a major challenge for robotic learning in real-world domains. In order to intelligently adapt its task strategies, the agent needs cognitive abilities to more deeply understand its environment and the effects of its actions. In order to approach this challenge within an open-ended learning loop, the XPERO project (http://www.xpero.org) explores the paradigm of Learning by Experimentation to increase the robot's conceptual world knowledge autonomously. In this setting, tasks which are selected by an actionselection mechanism are interrupted by a learning loop in those cases where the robot identifies learning as necessary for solving a task or for explaining observations. It is important to note that our approach targets unsupervised learning, since there is no oracle available to the agent, nor does it have access to a reward function providing direct feedback on the quality of its learned model, as e.g. in reinforcement learning approaches. In the following sections we present our framework for integrating autonomous robotic experimentation into such a learning loop. In section 1 we explain the different modules for stimulation and design of experiments and their interaction. In section 2 we describe our implementation of these modules and how we applied them to a real world scenario to gather target-oriented data for learning conceptual knowledge. There we also indicate how the goaloriented data generation enables machine learning algorithms to revise the failed prediction model.
Begutachtung medizinischer Sachverhalte in der Sozialversicherung und in angrenzenden Gebieten
(2015)
Benchmarking
(2013)