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A Bicycle Simulator Based on a Motion Platform in a Virtual Reality Environment - FIVIS Project
(2007)
A Method of Lines Flux-Difference Splitting Finite Volume Approach for 1D and 2D River Flow Problems
(2001)
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.
Users should always play a central role in the development of (software) solutions. The human-centered design (HCD) process in the ISO 9241-210 standard proposes a procedure for systematically involving users. However, due to its abstraction level, the HCD process provides little guidance for how it should be implemented in practice. In this chapter, we propose three concrete practical methods that enable the reader to develop usable security and privacy (USP) solutions using the HCD process. This chapter equips the reader with the procedural knowledge and recommendations to: (1) derive mental models with regard to security and privacy, (2) analyze USP needs and privacy-related requirements, and (3) collect user characteristics on privacy and structure them by user group profiles and into privacy personas. Together, these approaches help to design measures for a user-friendly implementation of security and privacy measures based on a firm understanding of the key stakeholders.
Actors
(2021)
Social protection is for many international organizations a state’s affair.1 While the state definitely plays an important role, the state is by far not the only actor and there is no predefined institutional arrangement of how social protection should be implemented. An exclusive focus on the state would therefore be short-sighted when assessing and comparing the performance of social protection systems. It is hence important to understand the mix of actors involved, the type of contribution they can make to social protection and their modes of cooperation. This contribution will therefore first sketch out the role and interplay of the main actors in social protection and then challenge some of the common assumptions made around how roles are best allocated in the social protection system concerning the providers of informal social protection, the private sector, civil society organizations (CSO) as well as international actors.
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.
Co-design is concerned with the joint design of hardware and software making up an embedded computer system [Wol94]. A top down design flow for an embedded system begins with a system specification. If it is executable, it may be used for simulation, system verification or to identify algorithmical bottlenecks. In contrast to other chapters of this book, the specification is not developed in this case study, rather it is given from the beginning. Furthermore we are not concerned with partitioning or synthesis of dedicated HW. Instead we focus on the problem how to find an off-the-shelf micro-controller which implements the desired functionality and meets all specification constraints. If feasible, this is usually much cheaper then using dedicated hardware. This chapter will answer the question of feasibility for a real life problem from automobile industry.
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.
This book chapter describes application examples of gas chromatography/mass spectrometry and pyrolysis – gas chromatography/mass spectrometry in failure analysis for the identification of chemical materials like mineral oils and nitrile rubber gaskets. Furthermore, failure cases demanding identification of polymers/copolymers in fouling on the compressor wall of a car air conditioner and identification of fouling on the surface of a bearing race from the automotive industry are demonstrated. The obtained analytical results were then used for troubleshooting and remedial action of the technological process.
The main objective of this chapter is to give insights into how H-BRS as a German University of Applied Sciences supports small and medium-sized enterprises (SMEs) in exploring African markets. The university achieves this objective by engaging its Bachelor and Master level students in applied market research. Students engage in this research as part of their final thesis writing. This chapter lays out a process for successful marketing research projects for German SMEs in nine steps.
The most prominent education reform in Europe started in Bologna, Italy, in 1999, when the European Ministers responsible for higher education met to set the foundation for the European Higher Education Area (EHEA). The following process to reform and unify higher education and its systems in Europe is therefore known as the Bologna Process.
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.