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This paper describes adaptive time frequency analysis of EEG signals, both in theory as well as in practice. A momentary frequency estimation algorithm is discussed and applied to EEG time series of test persons performing a concentration experiment. The motivation for deriving and implementing a time frequency estimator is the assumption that an emotional change implies a transient in the measured EEG time series, which again are superimposed by biological white noise as well as artifacts. It will be shown how accurately and robustly the estimator detects the transient even under such complicated conditions.
Along with the success of the digitally revived stereoscopic cinema, other events beyond 3D movies become attractive for movie theater operators, i.e. interactive 3D games. In this paper, we present a case that explores possible challenges and solutions for interactive 3D games to be played by a movie theater audience. We analyze the setting and showcase current issues related to lighting and interaction. Our second focus is to provide gameplay mechanics that make special use of stereoscopy, especially depth-based game design. Based on these results, we present YouDash3D, a game prototype that explores public stereoscopic gameplay in a reduced kiosk setup. It features live 3D HD video stream of a professional stereo camera rig rendered in a real-time game scene. We use the effect to place the stereoscopic effigies of players into the digital game. The game showcases how stereoscopic vision can provide for a novel depth-based game mechanic. Projected trigger zones and distributed clusters of the audience video allow for easy adaptation to larger audiences and 3D movie theater gaming.
The relative contributions of radial and laminar optic flow to the perception of linear self-motion
(2012)
When illusory self-motion is induced in a stationary observer by optic flow, the perceived distance traveled is generally overestimated relative to the distance of a remembered target (Redlick, Harris, & Jenkin, 2001): subjects feel they have gone further than the simulated distance and indicate that they have arrived at a target's previously seen location too early. In this article we assess how the radial and laminar components of translational optic flow contribute to the perceived distance traveled. Subjects monocularly viewed a target presented in a virtual hallway wallpapered with stripes that periodically changed color to prevent tracking. The target was then extinguished and the visible area of the hallway shrunk to an oval region 40° (h) × 24° (v). Subjects either continued to look centrally or shifted their gaze eccentrically, thus varying the relative amounts of radial and laminar flow visible. They were then presented with visual motion compatible with moving down the hallway toward the target and pressed a button when they perceived that they had reached the target's remembered position. Data were modeled by the output of a leaky spatial integrator (Lappe, Jenkin, & Harris, 2007). The sensory gain varied systematically with viewing eccentricity while the leak constant was independent of viewing eccentricity. Results were modeled as the linear sum of separate mechanisms sensitive to radial and laminar optic flow. Results are compatible with independent channels for processing the radial and laminar flow components of optic flow that add linearly to produce large but predictable errors in perceived distance traveled.
Interactive Distributed Rendering of 3D Scenes on Multiple Xbox 360 Systems and Personal Computers
(2012)
Um eine Software fertigzustellen und dem Endkunden zu übergeben muss zunächst der Entwicklungsprozess durchschritten werden. Das zügige Durchlaufen dieses Entwicklungsprozesses ist besonders für den Endkunden von entscheidender Bedeutung, da die Wartezeit auf das Softwareprodukt für ihn reduziert wird. Problematisch könnte beispielsweise dabei ein modulares Vorgehen werden, wenn zunächst alle einzelnen Teilkomponenten eines Softwareproduktes entwickelt und diese daraufhin in einer anschließenden Phase, auch Integrationsphase genannt, zusammengefügt würden. Die Länge dieser Integrationsphase kann nur schwer vorausgesagt werden, so dass weder das Entwicklerteam noch der Endkunde wissen, wie lang die Fertigstellung des Produktes dauern wird. Dabei entsteht ein weiterer Nachteil. Da die Komponenten separat voneinander entwickelt werden, könnte es passieren, dass diese beim finalen Zusammenfügen nicht kompatibel sein und müssten, falls notwendig, angepasst werden. Die Folge wäre eine Verschwendung von personellen und somit auch finanziellen Ressourcen seitens des entwickelnden Unternehmens.
Die Matrix-Vektor-Multiplikation für dünn besetzte Matrizen (SpMV) stellt für weitreichende wissenschaftliche Anwendungen eine der Kernoperationen des High-Performance-Computing-Bereichs dar. Für die verteilte Berechnung mit immer beliebter werdenden hybriden Rechenclustern kommt dabei die Frage nach einer geeigneten Partitionierungsstrategie für die Verteilung von Daten und Berechnung auf. Diese Arbeit beschäftigt sich damit welchen Einfluss die Struktur der Matrix und die unterschiedlichen Prozessortypen auf die Leistung der SpMV haben und schlägt ein Modell vor, um für diese eine lastbalancierte Verteilung zu erreichen. Wesentliche Bestandteile sind dabei die Laufzeitvorhersage für aktuelle CPUs und GPUs basierend auf einem abgewandelten Roofline-Modell sowie die bewährte Methode der Graph-Partitionierung.
Distributed computing environments allow collaborative problem solving across teams and organisations. A fundamental precondition for collaboration is the ability to find available participants and be able to exchange information. One way to approach this conceptual formulation are central directories or registry services. A major disadvantage of centralized components is, that they limit the flexibility to form ad hoc networks that are targeted to solve a specific problem. To facilitate flexible and dynamic collaborations, ideas from decentralized and self-organising networks can be combined with concepts of service oriented computing. This project aims to investigate potential solutions for dynamic discovery of network participants and outlines how to manage challenges associated with the development of a discovery protocol for distributed systems. During the course of this project a prototypical implementation was created that integrates into the open source distributed, collaborative problem solving environment RCE [9]. It is currently developed at the German Aerospace Center (DLR) but is planned to make the framework available to broader community.
In der Arbeit wurde ein Steuerungsframework für die LAMA-Bibliothek (http://www.libama.org) zur Konfiguration von Lösern linearer Gleichungssysteme entwickelt. Hierzu wurde ein Parser mit der Boost.Spirit-Biblithek realisiert, der die Laufzeitinterpretation einer domänenspezifische Sprache (DSL) erlaubt. Durch die Konfigurationssprache ist es möglich, Löser ohne Einschränkungen über ihre ID zu verknüpfen, diesen Lösern Logger und logisch verknüpfte Haltekriterien zuzuordnen.
For the case when the abstraction of instantaneous state transitions is adopted, this paper proposes to start fault detection and isolation in an engineering system from a single time-invariant causality bond graph representation of a hybrid model. To that end, the paper picks up on a long-known proposal to model switching devices by a transformer modulated by a Boolean variable and a resistor in fixed conductance causality accounting for its ON resistance. Bond graph representations of hybrid system models developed in this way have been used so far mainly for the purpose of simulation. The paper shows that they can well constitute an approach to the bond-graph-based quantitative fault detection and isolation of hybrid models. Advantages are that the standard sequential causality assignment procedure can be a used without modification. A single set of analytical redundancy relations valid for all physically feasible system modes can be (automatically) derived from the bond graph. Stiff model equations due to small values of the ON resistance in the switch model may be avoided by symbolic reformulation of equations and letting the ON resistance of some switches tend to zero, turning them into ideal switches.
First, for two examples considered in the literature, it is shown that the approach proposed in this paper can produce the same analytical redundancy relations as were obtained from a hybrid bond graph with controlled junctions and the use of a sequential causality assignment procedure especially for fault detection and isolation purpose. Moreover, the usefulness of the proposed approach is illustrated in two case studies by its application to standard switching circuits extensively used in power electronic systems and by simulation of some fault scenarios. The approach, however, is not confined to the fault detection and isolation of such systems. Analytically validated simulation results obtained by means of the program Scilab give confidence in the approach.
A bond graph representation of switching devices known for a long time has been a modulated transformer with a modulus b(t)∈{0,1}∀t≥0 in conjunction with a resistor R:Ron accounting for the ON-resistance of a switch considered non-ideal. Besides other representations, this simple model has been used in bond graphs for simulation of the dynamic behaviour of hybrid systems. A previous article of the author has proposed to use the transformer–resistor pair in bond graphs for fault diagnosis in hybrid systems. Advantages are a unique bond graph for all system modes, the application of the unmodified standard Sequential Causality Assignment Procedure, fixed computational causalities and the derivation of analytical redundancy relations incorporating ‘Boolean’ transformer moduli so that they hold for all system modes. Switches temporarily connect and disconnect model parts. As a result, some independent storage elements may temporarily become dependent, so that the number of state variables is not time-invariant. This article addresses this problem in the context of modelling and simulation of fault scenarios in hybrid systems. In order to keep time-invariant preferred integral causality at storage ports, residual sinks previously introduced by the author are used. When two storage elements become dependent at a switching time instance ts, a residual sink is activated. It enforces that the outputs of two dependent storage elements become immediately equal by imposing the conjugate3 power variable of appropriate value on their inputs. The approach is illustrated by the bond graph modelling and simulation of some fault scenarios in a standard three-phase switched power inverter supplying power into an RL-load in a delta configuration. A well-developed approach to model-based fault detection and isolation is to evaluate the residual of analytical redundancy relations. In this article, analytical redundancy relation residuals have been computed numerically by coupling a bond graph of the faulty system to one of the non-faulty systems by means of residual sinks. The presented approach is not confined to power electronic systems but can be used for hybrid systems in other domains as well. In further work, the RL-load may be replaced by a bond graph model of an alternating current motor in order to study the effect of switch failures in the power inverter on to the dynamic behaviour of the motor.
This article concerns with the accessibility of Business process modelling tools (BPMo tools) and business process modelling languages (BPMo languages). Therefore the reader will be introduced to business process management and the authors' motivation behind this inquiry. Afterwards, the paper will reflect problems when applying inaccessible BPMo tools. To illustrate these problems the authors distinguish between two different categories of issues and provide practical examples. Finally the article will present three approaches to improve the accessibility of BPMo tools and BPMo languages.
Jede Führungskraft hat ein bestimmtes Menschenbild, das ihre Arbeit und den Umgang mit den Mitarbeitern prägt. Diese Menschenbilder sind auch einem historischen Wandel unterworfen. Denn im Lauf der Jahrzehnte haben sich unsere Vorstellungen vom Menschen als Mitarbeiter grundlegend gewandelt. Welche Konsequenzen dieser Wandel für die Mitarbeiterführung hat, untersucht der folgende Artikel.
This article concerns the design and development of Information- and Communication Technology, in particular computer systems in regard to the demographic transition which will influence user capabilities. It is questionable if current applied computer systems are able to meet the requirements of altered user groups with diversified capabilities. Such an enquiry is necessary based on actual forecasts leading to the assumption that the average age of employees in enterprises will increase significantly within the next 50-60 years, while the percentage of computer aided business tasks, operated by human individuals, rises from year to year. This progress will precipitate specific consequences for enterprises regarding the design and application of computer systems. If computer systems are not adapted to altered user requirements, efficient and productive utilisation could be negatively influenced. These consequences constitute the motivation to extend traditional design methodologies and thereby ensure the application of computer systems that are usable, independent of user capabilities.
IT-Radar für BPM und ERP
(2012)
Mit dem IT-Radar für BPM und ERP liegt ein Instrument zur Unterstützung der aktiven Steuerung und Validierung der IT-Strategie vor. Die ersten Ergebnisse zeigen, dass klassische Aufgaben des BMP- und ERP-Managements wie Prozessintegration nach wie vor hohe Aktualität haben und neue Themen wie die dienstliche Nutzung privater Endgeräte (BYOD - Bring Your Own Device), die Verarbeitung von sehr großen Datenmengen (Big Data) und Echtzeitverarbeitung (In-Memory Computing) zwar intensiv auf die Agenda des Chief Information Officers (CIO) drängen, aber klassische Aufgaben nicht verdrängen.
IT-Controlling
(2012)
Big Data
(2012)
Die vorliegende wirtschaftswissenschaftliche Studie, die vom Forschungsinstitut für Glücksspiel und Wetten am BusinessCampus der Hochschule Bonn-Rhein-Sieg im Auftrag der Deutschen Automatenindustrie erstellt wurde, setzt sich kritisch-methodisch mit den bestehenden Annahmen über die sozialen Folgekosten von Spielsucht in Bezug auf gewerbliche Spielautomaten in Gastbetrieben und Spielhallen auseinander. Sie kommt hierbei zu neuen, fundierten Bewertungen, insbesondere im Vergleich mit Risiken bei Spielbanken und Lotterien. In einer Kosten-Nutzen-Bilanz überwiegen die Nutzenaspekte des gewerblichen Geld-Gewinnspiels die Kosten um ein Mehrfaches.
Mikroökonomie: Grundlagen der Wissenschaft von Märkten und Institutionen wirtschaftlichen Handelns
(2012)
Die Mikroökonomie gehört zu den Kernfächern in wirtschaftswissenschaftlichen Bachelor- und Masterprogrammen. Das vorliegende Buch bietet mit vielen Beispielen und Aufgaben, beispielsweise aus den Gebieten Arbeits-, Kapital-, Versicherungs-, Güter-, und Gesundheitsmarkt, die Möglichkeit, die Theorie anzuwenden und nachzuvollziehen.
Topics
Dialogue University President Hartmut Ihne and Jakob Rhyner, Vice Rector of the United Nations University (UNU), talk about common goals and the concept of regional internationality ...
Studies and Teaching University scores high with the Teaching Quality Pact (Pro-MINT-us), career training and Bachelor studies all in one, three attractive Master’s programmes set up, central e-Learning platform online, International Centre for Sustainable Development already hard at work ...
Research Graduate Institute establishes new Ph.D. culture, research focus on visual computing secures third-party funding, energy harvesting project wins university competition, research on the impact of zero gravity on arteries, security systems protect against car thieves ...
Campus Centre for Science and Technology Transfer, International Welcome Centre - a first stop for foreign students, alumni coordinator keeps in close contact with former students, hackathon brings students from around the world together, H-BRS prepared for the double Abitur year ...
What if ... ... the Bonn-Rhein-Sieg University of Applied Sciences did not exist? Personal answers to an unusual question ...
Region H-BRS- a strong engine for the region, research centre for region’s SMEs looks for investors, companies invest in scholarships, students advise the Alexander- Koenig-Gesellschaft, BusinessCampus opens a third location, concept for medical tourism along the Rhine corridor ...
International Mechanical engineering students in Ethiopia, businesses and universities collaborate in Ghana, university partnership with Namibia, Study Buddies for foreign students, student initiates German-Argentine Master’s degree, Spanish teacher conference, intercultural training for all university staff ...
Facts and Figures Programmes of study, statistics, organisational structure, international partnerships, awards ...
Die Debatte um das menschliche Erkenntnisvermögen, also die Frage nach der Art und Weise, wie Menschen Wissen und Erkenntnis erlangen, ist nicht neu, sondern sie stellt sich seitdem philosophische Fragen gestellt werden – ohne dass allerdings über die Jahrhunderte hinweg eine definitive Antwort auf diese Frage gefunden werden konnte.
The work presented in this paper focuses on the comparison of well-known and new fault-diagnosis algorithms in the robot domain. The main challenge for fault diagnosis is to allow the robot to effectively cope not only with internal hardware and software faults but with external disturbances and errors from dynamic and complex environments as well. Based on a study of literature covering fault-diagnosis algorithms, I selected four of these methods based on both linear and non-linear models, analysed and implemented them in a mathematical robot-model, representing a four-wheels-OMNI robot. In experiments I tested the ability of the algorithms to detect and identify abnormal behaviour and to optimize the model parameters for the given training data. The final goal was to point out the strengths of each algorithm and to figure out which method would best suit the demands of fault diagnosis for a particular robot.
In service robotics, tasks without the involvement of objects are barely applicable, like in searching, fetching or delivering tasks. Service robots are supposed to capture efficiently object related information in real world scenes while for instance considering clutter and noise, and also being flexible and scalable to memorize a large set of objects. Besides object perception tasks like object recognition where the object’s identity is analyzed, object categorization is an important visual object perception cue that associates unknown object instances based on their e.g. appearance or shape to a corresponding category. We present a pipeline from the detection of object candidates in a domestic scene over the description to the final shape categorization of detected candidates. In order to detect object related information in cluttered domestic environments an object detection method is proposed that copes with multiple plane and object occurrences like in cluttered scenes with shelves. Further a surface reconstruction method based on Growing Neural Gas (GNG) in combination with a shape distribution-based descriptor is proposed to reflect shape characteristics of object candidates. Beneficial properties provided by the GNG such as smoothing and denoising effects support a stable description of the object candidates which also leads towards a more stable learning of categories. Based on the presented descriptor a dictionary approach combined with a supervised shape learner is presented to learn prediction models of shape categories.
Experimental results, of different shapes related to domestically appearing object shape categories such as cup, can, box, bottle, bowl, plate and ball, are shown. A classification accuracy of about 90% and a sequential execution time of lesser than two seconds for the categorization of an unknown object is achieved which proves the reasonableness of the proposed system design. Additional results are shown towards object tracking and false positive handling to enhance the robustness of the categorization. Also an initial approach towards incremental shape category learning is proposed that learns a new category based on the set of previously learned shape categories.
The ability of detecting people has become a crucial subtask, especially in robotic systems which aim an application in public or domestic environments. Robots already provide their services e.g. in real home improvement markets and guide people to a desired product. In such a scenario many robot internal tasks would benefit from the knowledge of knowing the number and positions of people in the vicinity. The navigation for example could treat them as dynamical moving objects and also predict their next motion directions in order to compute a much safer path. Or the robot could specifically approach customers and offer its services. This requires to detect a person or even a group of people in a reasonable range in front of the robot. Challenges of such a real-world task are e.g. changing lightning conditions, a dynamic environment and different people shapes. In this thesis a 3D people detection approach based on point cloud data provided by the Microsoft Kinect is implemented and integrated on mobile service robot. A Top-Down/Bottom-Up segmentation is applied to increase the systems flexibility and provided the capability to the detect people even if they are partially occluded. A feature set is proposed to detect people in various pose configurations and motions using a machine learning technique. The system can detect people up to a distance of 5 meters. The experimental evaluation compared different machine learning techniques and showed that standing people can be detected with a rate of 87.29% and sitting people with 74.94% using a Random Forest classifier. Certain objects caused several false detections. To elimante those a verification is proposed which further evaluates the persons shape in the 2D space. The detection component has been implemented as s sequential (frame rate of 10 Hz) and a parallel application (frame rate of 16 Hz). Finally, the component has been embedded into complete people search task which explorates the environment, find all people and approach each detected person.
A robot (e.g. mobile manipulator) that interacts with its environment to perform its tasks, often faces situations in which it is unable to achieve its goals despite perfect functioning of its sensors and actuators. These situations occur when the behavior of the object(s) manipulated by the robot deviates from its expected course because of unforeseeable ircumstances. These deviations are experienced by the robot as unknown external faults. In this work we present an approach that increases reliability of mobile manipulators against the unknown external faults. This approach focuses on the actions of manipulators which involve releasing of an object. The proposed approach, which is triggered after detection of a fault, is formulated as a three-step scheme that takes a definition of a planning operator and an example simulation as its inputs. The planning operator corresponds to the action that fails because of the fault occurrence, whereas the example simulation shows the desired/expected behavior of the objects for the same action. In its first step, the scheme finds a description of the expected behavior of the objects in terms of logical atoms (i.e. description vocabulary). The description of the simulation is used by the second step to find limits of the parameters of the manipulated object. These parameters are the variables that define the releasing state of the object.
Using randomly chosen values of the parameters within these limits, this step creates different examples of the releasing state of the object. Each one of these examples is labelled as desired or undesired according to the behavior exhibited by the object (in the simulation), when the object is released in the state corresponded by the example. The description vocabulary is also used in labeling the examples autonomously. In the third step, an algorithm (i.e. N-Bins) uses the labelled examples to suggest the state for the object in which releasing it avoids the occurrence of unknown external faults.
The proposed N-Bins algorithm can also be used for binary classification problems. Therefore, in our experiments with the proposed approach we also test its prediction ability along with the analysis of the results of our approach. The results show that under the circumstances peculiar to our approach, N-Bins algorithm shows reasonable prediction accuracy where other state of the art classification algorithms fail to do so. Thus, N-Bins also extends the ability of a robot to predict the behavior of the object to avoid unknown external faults. In this work we use simulation environment OPENRave that uses physics engine ODE to simulate the dynamics of rigid bodies.