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Mobilitäts- und Nachhaltigkeitsforscher sehen sich bei der Erforschung des Mobilitätsverhaltens von Personen mit einer bunten Palette an Erhebungsmethoden konfrontiert. Erweitert wird diese Vielfalt in der letzten Zeit durch die Möglichkeit, dieses Verhalten direkt über die Smartphones der Probanden zu erfassen. Um die Auswahl geeigneter Methoden zu erleichtern, liefert die vorliegende Literaturstudie einen detaillierten Überblick zu Fragestellungen, Daten und Erhebungsmethoden, die im Bereich der Mobilitätsforschung zur Erfassung von Alltagsmobilität eingesetzt werden.
Dieser Artikel stützt sich auf das vom 13.10.2015 bis 12.01.2016 gemeinsam durchgeführten Praxisprojekt von ORBIT und der Hochschule Bonn-Rhein-Sieg. Thema des Projekts waren die Methodenevaluation und Automatisierung von Auswertungsprozessen. Speziell ging es um die Überprüfung der von ORBIT entwickelten Methodik zur Anforderungsanalyse und Standortbestimmung – dem ORBIT-Navigator.
Residential and commercial buildings are responsible for about 40% of the EU’s total energy consumption. However, conscious, sustainable use of this limited resource is hampered by a lack of visibility and materiality of consumption. One of the major challenges is enabling consumers to make informed decisions about energy consumption, thereby supporting the shift to sustainable actions. With the use of Energy-Management-Systems it is possible to save up to 15%. In recent years, design approaches have greatly diversified, but with the emergence of ubiquitous- and context-aware computing, energy feedback solutions can be enriched with additional context information. In this study, we present the concept “room as a context” for eco-feedback systems. We investigate opportunities of making current state-of-the-art energy visualizations more meaningful and demonstrate which new forms of visualizations can be created with this additional information. Furthermore, we developed a prototype for android-based tablets, which includes some of the presented features to study our design concepts in the wild.
When developing new ICT systems and applications for domestic environments, rich qualitative approaches improve the understanding of the user's integral usage of technology in their daily routines and thereby inform design. This knowledge will often be reached through in-home studies, strong relationships with the users and their involvement in the design and evaluation process. However, whilst this kind of research offers valuable context insights and brings out unexpected findings, it also presents methodological, technical and organizational challenges for the study design and its underlying cooperation processes. In particular, due to heterogeneous users in households in terms of technology affinity, individual needs, age distribution, gender, social constellations, personal role assignment, project expectations, etc. it produces particular demands to collaborate with users in the design process and thereby exposes a range of practical challenges. The full-day workshop wishes to identify these practical challenges, discuss best practice and develop a roadmap for sustainable relationships for design with users.
In Software development, the always beta principle is used to successfully develop innovation based on early and continuous user feedback. In this paper we discuss how this principle could be adapted to the special needs of designing for the Smart Home, where we do not just take care of the software, but also release hardware components. In particular, because of the 'materiality' of the Smart Home one could not just make a beta version available on the web, but an essential part of the development process is also to visit the 'beta' users in their home, to build trust, to face the real world issues and provide assistance to make the Smart Home work for them. After presenting our case study, we will then discuss the challenges we faced and how we dealt with them.
The smart home of the future is typically researched in lab settings or apartments that have been built from scratch. However, comparing the lifecycle of buildings and information technology, it is evident that modernization strategies and technologies are needed to empower residents to modify and extend their homes to make it smarter. In this paper, we describe a case study about the deployment, adaption to and adoption of tailorable home energy management systems in 7 private households. Based on this experience, we want to discuss how hardware and software technologies should be designed so that people could build their own smart home with a high usability and user experience.
This paper introduces our robotic system named UGAV (Unmanned Ground-Air Vehicle) consisting of two semi-autonomous robot platforms, an Unmanned Ground Vehicle (UGV) and an Unmanned Aerial Vehicles (UAV). The paper focuses on three topics of the inspection with the combined UGV and UAV: (A) teleoperated control by means of cell or smart phones with a new concept of automatic configuration of the smart phone based on a RKI-XML description of the vehicles control capabilities, (B) the camera and vision system with the focus to real time feature extraction e.g. for the tracking of the UAV and (C) the architecture and hardware of the UAV.
The MAP-Elites algorithm produces a set of high-performing solutions that vary according to features defined by the user. This technique to 'illuminate' the problem space through the lens of chosen features has the potential to be a powerful tool for exploring design spaces, but is limited by the need for numerous evaluations. The Surrogate-Assisted Illumination (SAIL) algorithm, introduced here, integrates approximative models and intelligent sampling of the objective function to minimize the number of evaluations required by MAP-Elites.
The ability of SAIL to efficiently produce both accurate models and diverse high-performing solutions is illustrated on a 2D airfoil design problem. The search space is divided into bins, each holding a design with a different combination of features. In each bin SAIL produces a better performing solution than MAP-Elites, and requires several orders of magnitude fewer evaluations. The CMA-ES algorithm was used to produce an optimal design in each bin: with the same number of evaluations required by CMA-ES to find a near-optimal solution in a single bin, SAIL finds solutions of similar quality in every bin.
A new method for design space exploration and optimization, Surrogate-Assisted Illumination (SAIL), is presented. Inspired by robotics techniques designed to produce diverse repertoires of behaviors for use in damage recovery, SAIL produces diverse designs that vary according to features specified by the designer. By producing high-performing designs with varied combinations of user-defined features a map of the design space is created. This map illuminates the relationship between the chosen features and performance, and can aid designers in identifying promising design concepts. SAIL is designed for use with compu-tationally expensive design problems, such as fluid or structural dynamics, and integrates approximative models and intelligent sampling of the objective function to minimize the number of function evaluations required. On a 2D airfoil optimization problem SAIL is shown to produce hundreds of diverse designs which perform competitively with those found by state-of-the-art black box optimization. Its capabilities are further illustrated in a more expensive 3D aerodynamic optimization task.
Multiple myeloma is the second most common hematological malignancy. Despite all the progress made in treating multiple myeloma, it still remains an incurable disease. Patients are left with a median survival of 4-5 years. The combined treatment of multiple myeloma with histone deacetylase inhibitors and cytokine-induced killer cells provides a promising targeted treatment option for patients. This study investigated the impact of a combined treatment compared to treatment with histone deacetylase inhibitors. The experiments revealed that a treatment with histone deacetylase (HDAC) inhibitors could reduce cell viability to 59% for KMS 18 cell line and 46% for the U-266 cell line. The combined treatment led to a decrease of cell viability to 33% for KMS 18 and 27% for the U-266 cell line, thus showing a significantly better efficacy than the single treatment.
WiFi-based Long Distance (WiLD) networks have emerged as a promising alternative approach for Internet in rural areas. The main hardware components of these networks are commercial off-the-shelf WiFi radios and directional antennas. During our experiences with real-world WiLD networks, we encountered that interference among long-distance links is a major issue even with high gain directional antennas. In this work, we are providing an in-depth analysis of these interference effects by conducting simulations in ns-3. To closely match the real-world interference effects, we implemented a module to load radiation pattern of commonly used antennas. We analyze two different interference scenarios typically present as a part of larger networks. The results show that side-lobes of directional antennas significantly influence the throughput of long-distance WiFi links depending on the orientation. This work emphasizes that the usage of simple directional antenna models needs to be considered carefully.
This study contributes to the growing body of research concerning management consultancies by linking two previously disparate fields of study: (1) the examination of the effectiveness of consulting interventions and (2) the examination of the social processes that aim to create and legitimize the insights, knowledge and capabilities of management consultancies. We propose that consulting firms accumulate social authority in the course of pre-intervention discourse processes that is reflected in their reputation and celebrity. With respect to intervention, this social authority affects change recipients’ commitment to and compliance with the requirements of change implementation. We test the proposed relationships by conducting a measured variable path analysis of 117 change initiatives in German companies that were set up and implemented with the assistance of external consultancies. Our findings indicate that a consulting firm’s levels of both celebrity and reputation affect the change recipients’ commitment to proposed change strategies and thus, indirectly affect their behavioral compliance with the explicit requirements of change implementation.
Was ist dran am Hype um die Cloud? Während Gartner Research bereits von einem Abwärts trend spricht, sehen Prof. Alda und Prof. Bonne von der Hochschule Bonn-Rhein-Sieg viele gewinnbringende Anwendungsszenarien in der Praxis. Insbesondere auf den Finance- und Accounting-Bereich lassen sich die positiven Vorteile einer Cloud- Lösung übertragen.
Die Forschung zur kontrovers diskutierten Robotik in der Pflege und Begleitung von Personen mit Demenz steht noch am Anfang, wenngleich bereits erste Systeme auf dem Markt sind. Der Beitrag gibt entlang beispielhafter, fallbezogener Auszüge Einblicke in das laufende multidisziplinäre Projekt EmoRobot, das sich explorativ und interpretativ mit der Erkundung des Einsatzes von Robotik in der emotionsorientierten Pflege und Versorgung von Personen mit Demenz befasst. Fokussiert werden dabei die je eigenen Relevanzen der Personen mit Demenz.
The work done in this thesis enhances the MMD algorithm in multi-core environments. The MMD algorithm, a transformation based algorithm for reversible logic synthesis, is based on the works introduced by Maslov, Miller and Dueck and their original, sequential implementation. It synthesises a formal function specification, provided by a truth table, into a reversible network and is able to perform several optimization steps after the synthesis. This work concentrates on one of these optimization steps, the template matching. This approach is used to reduce the size of the reversible circuit by replacing a number of gates that match a template which implements the same function and uses less gates. Smaller circuits have several benefits since they need less area and are not as costly. The template matching approach introduced in the original works is computationally expensive since it tries to match a library of templates against the given circuit. For each template at each position in the circuit, a number of different combinations have to be calculated during runtime resulting in high execution times, especially for large circuits. In order to make the template matching approach more efficient and usable, it has been reimplemented in order to take advantage of modern multi-core architectures such as the Cell Broadband Engine or a Graphics Processing Unit. For this work, two algorithmically different approaches that try to consider each multi-core architecture’s strengths, have been analyzed and improved. For the analysis these approaches have been cross-implemented on the two target hardware architectures and compared to the original parallel versions. Important metrics for this analysis are the execution time of the algorithm and the result of the minimization with the template matching approach. It could be shown that the algorithmically different approaches produce the same minimization results, independent of the used hardware architecture. However, both cross-implementations also show a significantly higher execution time which makes them practically irrelevant. The results of the first analysis and comparison lead to the decision to enhance only the original parallel approaches. Using the same metrics for successful enhancements as mentioned above, it could be shown that improving the algorithmic concepts and exploiting the capabilities of the hardware lead to better results for the execution time and the minimization results compared to their original implementations.
This thesis presents an approach to automatically adjust the parameters of a Java application run on the IBM J9 Virtual Machine in order to improve its performance. It works by analyzing the logfile the VM generates and searching for specific behavioral patterns. These patterns are matched against a list of known patterns for which rules exist that specify how to adapt the VM to the given application. Adapting the application is done by adding parameters and changing existing ones, for example to achieve a better heap usage. The process is fully automated and carried out by a toolkit developed for this thesis. The toolkit iteratively cycles through multiple possible parameter sets, benchmarks them and proposes the best alternative to the user. The user can, without any prior knowledge about the Java application or the VM improve the performance of the deployed application.
The Java Virtual Machine (JVM) executes the compiled bytecode version of a Java program and acts as a layer between the program and the operating system. The JVM provides additional features such as Process, Thread, and Memory Management to manage the execution of these programs. The Garbage Collection (GC) is part of the memory management and has an impact on the overall runtime performance because it is responsible for removing dead objects from the heap. Currently, the execution of a program needs to be halted during every GC run. The problem of this stop-the-world approach is that all threads in the JVM need to be suspended. It would be desirable to have a thread-local GC that only blocks the current thread and does not affect any other threads. In particular, this would improve the execution of multi-threaded Java programs. An object that is accessible by more than one thread is called escaped. It is not possible to thread-locally determine if escaped objects are still alive so that they cannot be handled in a thread-local GC. To gain significant performance improvements with a thread-local GC, it is therefore necessary to determine if it is possible to reliably predict if a given object will escape. Experimental results show that the escaping of objects can be predicted with high accuracy based on the line of code the object was allocated from. A thread-local GC was developed to minimize the number of stop-the-world GCs. The prototype implementation delivers a proof-of-concept that shows that this goal can be achieved in certain scenarios.
An analysis of sharing string objects with the Java Virtual Machine was conducted; they are the most used objects in Java programs and they are immutable - thus they are read-only and easily identified. While the results are promising, it is clear that sharing more objects would result in better performance. Automatic object selection for sharing is non-trivial, because in the current state only read-only objects can be shared. This attribute can not be easily determined during runtime by an algorithm; the developer on the other hand can. This thesis presents the development of an Application Programmer Interface (API) that allows programmers to use the Java Virtual Machine (JVM) internal sharing functionality. Furthermore, we present the usage of the sharing API. Open-source software was used as real-world test cases. Afterwards the evaluation shows that the ratio between memory savings and start-up time overhead is reasonable.
RNA is one of the most important molecules in living organisms. One of its main functions is to regulate gene expression. This involves binding to and forming a joint structure with a messenger RNA. An RNAs functions is determined by its sequence and the structure it folds into. Accordingly, the prediction of individual as well as joint structures is an important area of research. In this thesis a method for the prediction of RNA-RNA joint structure using their minimum free energy (mfe) structures was developed. It is able to extensively explore the joint structural landscape of two interacting RNAs by taking advantage of the locality of changes in the RNAs structures as well as natural and energetic constraints. The method predicts the mfe joint structure as well as alternative stable joint structures while also computing non-optimal folding pathways from the unbound individual mfe structures to the predicted joint structures. It is shown how an enumeration approach is used which is able to deal with the enormous search space as well as to avoid any cyclic behaviour. The method is evaluated using two standard datasets of known interacting RNAs and shows good results.
Sicherung des Jugend- und Spielerschutzes innerhalb des gewerblichen Geldspiels in Deutschland - 2.0
(2017)
Eine wissenschaftliche Analyse zur Zertifizierung des gewerblichen Geldspiels in Deutschland. Die Basis bildet die international und interdisziplinär validierte wissenschaftliche Expertise "Safeguarding the Protection of Minors and Players with Respect to Commercial Gambling in Germany - 2.0". Ziel ist die Qualitätssicherung für einen verantwortlichen Umgang mit Glücks- und Gewinnspielangeboten (Responsible Gaming). Dazu wird ein Prüfkatalog für das gewerbliche Geldspiel in Spielhallen und in Gaststätten vorgestellt und durch Musterformulare unterstützt. Dieses Zertifizierungsverfahren kann auch im internationalen Kontext Impulse geben und gegebenenfalls einen Standard setzen, auch zur Regulierung nicht-regulierter Glücks- und Gewinnspielangebote.
Wirtschaftspolitik
(2017)
Wirtschaftspolitik beschäftigt sich mit den spannungsvollen Beziehungen zwischen Wirtschaft und Politik. Bei wirtschaftspolitischen Fragestellungen gibt es häufig Zielkonflikte, sodass meistens keine Patentlösungen existieren. In der öffentlichen Diskussion wirtschaftspolitischer Maßnahmen treffen zudem Ideologien, Werturteile und Einzelinteressen aufeinander. Das Buch macht Wirtschaftspolitik erlebbar, indem es die Entscheidungen der Akteure mit Theorieansätzen und Fakten verknüpft.
Die Kenntnis wirtschaftspolitischer Grundlagen ist wichtiger Teil der Managementausbildung an Hochschulen. Dieses Buch stellt dazu die wesentlichen Teilbereiche der Wirtschaftspolitik aus didaktischen Gründen getrennt dar. Die Einteilung ist auf die übliche Länge eines Semesters zugeschnitten. Die Wissensvermittlung erfolgt theoretisch fundiert, praxis- und problemorientiert. Jedes Kapitel enthält Literaturempfehlungen zur Nacharbeitung und Vertiefung sowie Übungsaufgaben mit Lösungsverweisen.
Die allgemeine Konnotation von Technik mit Männlichkeit hat Auswirkungen auf die Berufswahlentscheidungen und das Technikverständnis von jungen Frauen. Nur gut 22 Prozent aller Studierenden in den Ingenieurswissenschaften waren 2014 in Deutschland weiblich (vgl. MonitorING)1. Seit Jahren wird versucht, diese Zahlen nach oben zu korrigieren, indem man Programme für Mädchen und junge Frauen anbietet, die erste Kontakte zu technischen Arbeitsfeldern her stellen. Auch für bereits berufstätige Ingenieurinnen gibt es zahlreiche Förderprogramme, um den Drop-out hochqualiizierter Frauen auf der Karriere leiter zu verhindern. Dennoch verändern sich die prozentualen Anteile von Frauen in ingenieurswissenschaftlichen Studiengängen und Berufen kaum. Aktuelle Studien belegen, dass vor allem kulturell bedingte Erwartungen und Einstellungen hierfür verantwortlich sind (vgl. Paulitz 2012).
IT-Sicherheit
(2017)
Andreas Gadatsch und Markus Mangiapane erläutern zentrale Aspekte der Digitalisierung und der IT-Sicherheit, ohne die digitale Geschäftsmodelle und -prozesse nicht realisierbar sind. Die Autoren möchten den Leser für aktuelle Trends im Informationsmanagement und deren Auswirkungen auf IT-Sicherheit sensibilisieren. Wenn man von jedem Punkt der Welt aus einen Prozess nutzen kann, so kann man ihm auch jederzeit von jedem Ort aus schaden, ihn stoppen, verändern oder Daten manipulieren. IT-Sicherheit ist daher die Grundlage zur Realisierung digitaler Prozesse. (Verlagsangaben)
Evolutionary illumination is a recent technique that allows producing many diverse, optimal solutions in a map of manually defined features. To support the large amount of objective function evaluations, surrogate model assistance was recently introduced. Illumination models need to represent many more, diverse optimal regions than classical surrogate models. In this PhD thesis, we propose to decompose the sample set, decreasing model complexity, by hierarchically segmenting the training set according to their coordinates in feature space. An ensemble of diverse models can then be trained to serve as a surrogate to illumination.
Ressourceneffiziente Optimierung von Hohlkörpern aus Kunststoff mittels Multiskalensimulation
(2017)
Neuroevolution methods evolve the weights of a neural network, and in some cases the topology, but little work has been done to analyze the effect of evolving the activation functions of individual nodes on network size, an important factor when training networks with a small number of samples. In this work we extend the neuroevolution algorithm NEAT to evolve the activation function of neurons in addition to the topology and weights of the network. The size and performance of networks produced using NEAT with uniform activation in all nodes, or homogenous networks, is compared to networks which contain a mixture of activation functions, or heterogenous networks. For a number of regression and classification benchmarks it is shown that, (1) qualitatively different activation functions lead to different results in homogeneous networks, (2) the heterogeneous version of NEAT is able to select well performing activation functions, (3) the produced heterogeneous networks are significantly smaller than homogeneous networks.
„Big Data“, „Industrie 4.0“ und „Digitalisierung“ sind in aller Munde und das nicht nur als Heilsbringer. Der „Jobkiller Digitalisierung“ führt in vielen Branchen und auch im Controlling zu einem potenziellen Ersatz des Menschen. Glaubt man diesen düsteren Szenarien, so übernehmen Algorithmen zukünftig weitgehend die Steuerung der Geschäftsprozesse. Der Manager entscheidet allein auf Basis der Informationen, die in Echtzeit automatisch auf sein Handy übermittelt werden. Den Controller sucht man in diesen Prognosen vergeblich.
Geschäftsprozessmanagement
(2017)
While executing actions, service robots may experience external faults because of insufficient knowledge about the actions' preconditions. The possibility of encountering such faults can be minimised if symbolic and geometric precondition models are combined into a representation that specifies how and where actions should be executed. This work investigates the problem of learning such action execution models and the manner in which those models can be generalised. In particular, we develop a template-based representation of execution models, which we call delta models, and describe how symbolic template representations and geometric success probability distributions can be combined for generalising the templates beyond the problem instances on which they are created. Our experimental analysis, which is performed with two physical robot platforms, shows that delta models can describe execution-specific knowledge reliably, thus serving as a viable model for avoiding the occurrence of external faults.
From video games to mobile augmented reality, 3D interaction is everywhere. But simply choosing to use 3D input or 3D displays isn't enough: 3D user interfaces (3D UIs) must be carefully designed for optimal user experience. 3D User Interfaces: Theory and Practice, Second Edition is today's most comprehensive primary reference to building outstanding 3D UIs. Four pioneers in 3D user interface research and practice have extensively expanded and updated this book, making it today's definitive source for all things related to state-of-the-art 3D interaction.
Das Buch schlägt die Brücke zwischen den betriebswirtschaftlich-organisatorischen Methoden und deren IT-gestützter Umsetzung. Prozessmanagement heißt Gestaltung betrieblicher Aufgaben. Neben methodischen Grundlagen bietet das Werk Praxisbeispiele und Übungen. Das Buch von Prof. Gadatsch gilt mittlerweile als der "aktuelle Klassiker", DAS maßgebliche Standardwerk zur IT-gestützten Gestaltung von Geschäftsprozessen.Die achte Auflage wurde vollständig überarbeitet und an die Anforderungen der Digitalisierung angepasst. Das Werk deckt den gesamten „Business Process Management Life-Cycle“ ab. Es behandelt die Entwicklung und das Controlling der Prozessstrategie, die fachliche Modellierung der Prozesse sowie die Unterstützung des Prozessmanagements durch Informationssysteme.
„Sind Sie Gärtner oder Maschinist?“ (Zechlin 2010) – wer diese Frage einem Hochschulmanager stellt, der transportiert damit gleich dreierlei: zum einen die Frage, was für ein Typ man ist. Im Fokus steht der Hochschulmanager, der gießt, pflegt, vielleicht einmal die Äste stutzt, oder, im Gegenteil, den Hebel umlegt und erwartet, dass die Produktion läuft. Zum anderen stellt sich die Frage, um welches Gebilde es sich da eigentlich handelt, dem der Gärtner zum Wachstum und der Maschinist zur Produktivität verhilft. Zum Dritten offenbart sich die Frage nach dem Oder, also nach den vielfältigen denkbaren Konstellationen der beiden Pole Gärtner oder Maschinist sowie Gebilden, die weder Garten noch Maschine sind und ganz anderer Steuerungsimpulse bedürfen. Um Hochschulleitungen und Hochschulen zu beschreiben, gibt es, darauf deutet die Metapher hin, zahlreiche Modelle und Typologien. Die Praxis des Steuerungshandelns offenbart jedoch im Detail zahllose individuelle Ausprägungen und situationsbedingte Spezifika. Immer wieder heißt es, mit Blick auf die vielen Unterschiede müsse die Haltbarkeit von Annahmen und Modellen über Hochschulsteuerung am konkreten Einzelfall geprüft werden. In der Führungspraxis an einer Hochschule, hier am Beispiel der Hochschule Bonn-Rhein-Sieg, wird ein solcher Einzelfall beschrieben. Die per Gesetz gestärkte Hochschulleitung nutzte ihren Gestaltungsspielraum, um Hochschulentwicklungsplanungsprozesse nach eigener Aussage partizipativ vorzunehmen. Die partizipativen Prozesse sollten es ermöglichen, die Leitungsaufgaben im Hinblick auf Profilbildung, Richtungsweisung, Zukunftsgestaltung und Ressourcenzuweisung adäquat erfüllen zu können.
This paper describes the security mechanisms of several wireless building automation technologies, namely ZigBee, EnOcean, ZWave, KNX, FS20, and Home-Matic. It is shown that none of the technologies provides the necessary measure ofsecurity that should be expected in building automation systems. One of the conclusions drawn is that software embedded in systems that are build for a lifetime of twenty years or more needs to be updatable.
The knowledge of Software Features (SFs) is vital for software developers and requirements specialists during all software engineering phases: to understand and derive software requirements, to plan and prioritize implementation tasks, to update documentation, or to test whether the final product correctly implements the requested SF. In most software projects, SFs are managed in conjunction with other information such as bug reports, programming tasks, or refactoring tasks with the aid of Issue Tracking Systems (ITSs). Hence ITSs contains a variety of information that is only partly related to SFs. In practice, however, the usage of ITSs to store SFs comes with two major problems: (1) ITSs are neither designed nor used as documentation systems. Therefore, the data inside an ITS is often uncategorized and SF descriptions are concealed in rather lengthy. (2) Although an SF is often requested in a single sentence, related information can be scattered among many issues. E.g. implementation tasks related to an SF are often reported in additional issues. Hence, the detection of SFs in ITSs is complicated: a manual search for the SFs implies reading, understanding and exploiting the Natural Language (NL) in many issues in detail. This is cumbersome and labor intensive, especially if related information is spread over more than one issue. This thesis investigates whether SF detection can be supported automatically. First the problem is analyzed: (i) An empirical study shows that requests for important SFs reside in ITSs, making ITSs a good tar- get for SF detection. (ii) A second study identifies characteristics of the information and related NL in issues. These characteristics repre- sent opportunities as well as challenges for the automatic detection of SFs. Based on these problem studies, the Issue Tracking Software Feature Detection Method (ITSoFD), is proposed. The method has two main components and includes an approach to preprocess issues. Both components address one of the problems associated with storing SFs in ITSs. ITSoFD is validated in three solution studies: (I) An empirical study researches how NL that describes SFs can be detected with techniques from Natural Language Processing (NLP) and Machine Learning. Issues are parsed and different characteristics of the issue and its NL are extracted. These characteristics are used to clas- sify the issue’s content and identify SF description candidates, thereby approaching problem (1). (II) An empirical study researches how issues that carry information potentially related to an SF can be detected with techniques from NLP and Information Retrieval. Characteristics of the issue’s NL are utilized to create a traceability network vii of related issues, thereby approaching problem (2). (III) An empirical study researches how NL data in issues can be preprocessed using heuristics and hierarchical clustering. Code, stack traces, and other technical information is separated from NL. Heuristics are used to identify candidates for technical information and clustering improves the heuristic’s results. The technique can be applied to support components, I. and II.
p53 is a crucial regulator of cell response to DNA damage. MDM4 and MDM2 are the two main negative regulators of p53 activity. Upon DNA damage, their constraint is released and p53 becomes activated and exerts its safeguard function by arresting cell growth or by killing excessively damaged cells. Under these conditions, increasing data suggest that MDM4 and MDM2 play novel roles. In this respect, we recently published that MDM4 exerts a positive activity towards p53 mitochondrial apoptosis. We observed that a fraction of MDM4 stably localizes at the mitochondria where upon lethal stress conditions, promotes the mitochondrial localization of p53 phosphorylated at Ser46 (p53Ser46(P)) and facilitates its binding to BCL2, cytochrome C release and apoptosis. Most importantly, we observed a correlation of MDM4 expression with cisplatin-resistance in a group of human ovarian cancers suggesting that MDM4 proapoptotic activity may have in vivo relevance. Here, we discuss about these and some new findings and compare them with previous data trying to settle some apparent contradictions. In addition, this review discusses the potential relevance of our data to the field of human cancer.
Exploring Gridmap-based Interfaces for the Remote Control of UAVs under Bandwidth Limitations
(2017)
SpMV Runtime Improvements with Program Optimization Techniques on Different Abstraction Levels
(2016)
The multiplication of a sparse matrix with a dense vector is a performance critical computational kernel in many applications, especially in natural and engineering sciences. To speed up this operation, many optimization techniques have been developed in the past, mainly focusing on the data layout for the sparse matrix. Strongly related to the data layout is the program code for the multiplication. But even for a fixed data layout with an accommodated kernel, there are several alternatives for program optimizations. This paper discusses a spectrum of program optimization techniques on different abstraction layers for six different sparse matrix data format and kernels. At the one end of the spectrum, compiler options can be used that hide from the programmer all optimizations done by the compiler internally. On the other end of the spectrum, a multiplication kernel can be programmed that use highly sophisticated intrinsics on an assembler level that ask for a programmer with a deep understanding of processor architectures. These special instructions can be used to efficiently utilize hardware features in processors like vector units that have the potential to speed up sparse matrix computations. The paper compares the programming effort and required knowledge level for certain program optimizations in relation to the gained runtime improvements.
The Fifth International Conference on Advances in Vehicular Systems, Technologies and Applications (VEHICULAR 2016), held between November 13-17, 2016 - Barcelona, Spain, continued the inaugural event considering the state-of-the-art technologies for information dissemination in vehicle-to-vehicle and vehicle-to-infrastructure and focusing on advances in vehicular systems, technologies and applications.
With the rising interest in vehicular communication systems many proposals for secure vehicle-to-vehicle commu- nication were made in recent years. Also, several standard- ization activities concerning the security and privacy measures in these communication systems were initiated in Europe and in US. Here, we discuss some limitations for secure vehicle- to-infrastructure communication in the existing standards of the European Telecommunications Standards Institute. Next, a vulnerability analysis for roadside stations on one side and security and privacy requirements for roadside stations on the other side are given. Afterwards, a proposal for a multi-domain public key architecture for intelligent transport systems, which considers the necessities of road infrastructure authorities and vehicle manufacturers, is introduced. The domains of the public key infrastructure are cryptographically linked based on local trust lists. In addition, a crypto agility concept is suggested, which takes adaptation of key length and cryptographic algorithms during PKI operation into account.
A deployment of the Vehicle-to-Vehicle communication technology according to ETSI is in preparation in Europe. Currently, a Public Key Infrastructure policy for Intelligent Transport Systems in Europe is in discussion to enable V2V communication. This policy set aside two classes of keys and certificates for ITS vehicle stations: long term authentication keys and pseudonymous keys and certificates. We show that from our point of view the periodic sent Cooperative Awareness Messages with extensive data have technical limitations and together with the pseudonym concept cause privacy problems.
The latest advances in the field of smart card technologies allow modern cards to be more than just simple security tokens. Recent developments facilitate the use of interactive components like buttons, displays or even touch-sensors within the card's body thus conquering whole new areas of application. With interactive functionalities the usability aspect becomes the most important one for designing secure and popularly accepted products. Unfortunately, the usability can only be tested fully with completely integrated hence expensive smart card prototypes. This restricts severely application specific research, case studies of new smart card user interfaces and the optimization of design aspects, as well as hardware requirements by making usability and acceptance tests in smart card development very costly and time-consuming. Rapid development and simulation of smart card interfaces and applications can help to avoid this restriction. This paper presents a rapid development process for new smart card interfaces and applications based on common smartphone technology using a tool called SCUID^Sim. We will demonstrate the variety of usability aspects that can be analyzed with such a simulator by discussing some selected example projects.
Secure vehicular communication has been discussed over a long period of time. Now,- this technology is implemented in different Intelligent Transportation System (ITS) projects in europe. In most of these projects a suitable Public Key Infrastructure (PKI) for a secure communication between involved entities in a Vehicular Ad hoc Network (VANET) is needed. A first proposal for a PKI architecture for Intelligent Vehicular Systems (IVS PKI) is given by the car2car communication consortium. This architecture however mainly deals with inter vehicular communication and is less focused on the needs of Road Side Units. Here, we propose a multi-domain PKI architecture for Intelligent Transportation Systems, which considers the necessities of road infrastructure authorities and vehicle manufacturers, today. The PKI domains are cryptographically linked based on local trust lists. In addition, a crypto agility concept is suggested, which takes adaptation of key length and cryptographic algorithms during PKI operation into account.
Im Herbst 2005 hat Giso Deussen seine Tätigkeit als Professor für Medienpolitik und Medienethik an der Fachhochschule Bonn-Rhein-Sieg in Sankt Augustin beendet. Am 5. August war er 65 Jahre alt geworden. Fast 20 Jahre seines Berufslebens hat er in enger Verbindung mit "Communicatio Socialis" (ComSoc) verbracht, konkret: Er hat unserer Zeitschrift einen Teil seiner Arbeitskraft geschenkt. Von 1976 bis 1988 war er Mitglied des Redaktion genannten Fähnleins von nicht einmal sieben Aufrechten, die unter der organisatorischen Leitung von Josef Hosse und Franz-Josef Eilers die redaktionellen Lasten trug.
Wer heute eine beliebige Publikumszeitschrift durchblättert, wird regelmäßig auf Inhalte und Beilagen (z.B. CD-ROM) stoßen, die vor allem dem Interesse von Anzeigenkunden oder Vertriebspartnern dienen und dennoch als redaktionelle Dienstleistung erscheinen. Im Fernsehen haben wir uns an vielfältige Medien- und Produktpartnerschaften gewöhnt, bei denen sich journalistische und werbliche Ziele unauflösbar vereinen. So werden beliebte TV-Sendungen durch eine umfangreiche Begleitpublizistik oder durch Merchandising-Produkte weit über das Fernsehpublikum hinaus vermarktet. In den neuen Online-Medien (Online-Dienste und WWW) schließlich ist es gang und gäbe, dass redaktionelle und kommerzielle Angebote auf identischen Webseiten erscheinen, weil die Bewertung und der Verkauf von Gütern und Dienstleistungen hier ohne Medienwechsel möglich sind. Ist es angesichts dieser Entwicklungen noch sinnvoll, auf einer Trennung von Werbung und Programm zu bestehen, wie sie das Pressegesetz allen an die allgemeine Öffentlichkeit gerichteten Medien vorschreibt?
The latest advances in the field of smart card technologies allow modern cards to be more than just simple security tokens. Recent developments facilitate the use of interactive components like buttons, displays or even touch-sensors within the cards body thus conquering whole new areas of application. With interactive functionalities the usability aspect becomes the most important one for designing secure and popularly accepted products. Unfortunately the usability can only be tested fully with completely integrated hence expensive smart card prototypes. This restricts application specific research, case studies of new smart card user interfaces, concerning applications and the performance of useability tests in smart card development. Rapid development and simulation of smart card interfaces and applications can help to avoid this restriction. This paper presents SCUIDtextsuperscript{Sim} a tool for rapid user-centric development of new smart card interfaces and applications based on common smartphone technology.
Rehabilitation wirkt
(2014)
Die medizinische Rehabilitation bildet im bundesdeutschen Gesundheitssystem eine wichtige Säule. Sie wird weltweit immer wieder als vorbildlich angesehen und ist im internationalen Vergleich mit Mitteln, Infrastruktur, Know-how und Behandlungsqualität hervorragend ausgestattet. Dies ist gut so, aber ist es gut genug?
This book constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Smart Card Research and Advanced Applications, CARDIS 2016, held in Cannes, France, in November 2016. The 15 revised full papers presented in this book were carefully reviewed and selected from 29 submissions. The focus of the conference was on all aspects of the design, development, deployment, validation, and application of smart cards or smart personal devices.
Unternehmen stehen oft vor der Frage, nach welchen Kriterien Investitionsentscheidungen in anderen Ländern und an ausländischen Standorten – ggf. im Wettbewerb zu anderen Geografien – zu treffen sind. Aufgrund der schwierigen Revidierbarkeit von Standortentscheidungen ist zu erwarten, dass die Unternehmen eine Vielzahl von Kriterien in ihre Überlegungen einbeziehen und die in Betracht kommenden Standorte diesbezüglich komparativ prüfen.
The MAP-Elites algorithm produces a set of high-performing solutions that vary according to features defined by the user. This technique has the potential to be a powerful tool for design space exploration, but is limited by the need for numerous evaluations. The Surrogate-Assisted Illumination algorithm (SAIL), introduced here, integrates approximative models and intelligent sampling of the objective function to minimize the number of evaluations required by MAP-Elites.
The ability of SAIL to efficiently produce both accurate models and diverse high performing solutions is illustrated on a 2D airfoil design problem. The search space is divided into bins, each holding a design with a different combination of features. In each bin SAIL produces a better performing solution than MAP-Elites, and requires several orders of magnitude fewer evaluations. The CMA-ES algorithm was used to produce an optimal design in each bin: with the same number of evaluations required by CMA-ES to find a near-optimal solution in a single bin, SAIL finds solutions of similar quality in every bin.
Embodied artificial agents operating in dynamic, real-world environments need architectures that support the special requirements that exist for them. Architectures are not always designed from scratch and the system then implemented all at once, but rather, a step-wise integration of components is often made to increase functionality. Our work aims to increase flexibility and robustness by integrating a task planner into an existing architecture and coupling the planning process with the preexisting execution and the basic monitoring processes. This involved the conversion of monolithic SMACH scenario scripts (state-machine execution scripts) into modular states that can be called dynamically based on the plan that was generated by the planning process. The procedural knowledge encoded in such state machines was used to model the planning domain for two RoboCup@Home scenarios on a Care-O-Bot 3 robot [GRH+08]. This was done for the JSHOP2 [IN03] hierarchical task network (HTN) planner. A component which iterates through a generated plan and calls the appropriate SMACH states [Fie11] was implemented, thus enabling the scenarios. Crucially, individual monitoring actions which enable the robot to monitor the execution of the actions were designed and included, thus providing additional robustness.
RPSL meets lightning: A model-based approach to design space exploration of robot perception systems
(2017)
Mit dem Projekt Pro-MINT-us hat sich die Hochschule Bonn-Rhein-Sieg erfolgreich im „Qualitätspakt Lehre“ beworben. Im Fokus steht dabei eine bessere Begleitung der Studierenden im Übergang von der Schule zur Hochschule. Mit Hilfe der Projektmittel konnten u.a. zwei Stellen geschaffen werden, die die Studierenden im Bereich „wissenschaftliches Schreiben“ unterstützen sollen.
Ab April 2011 erhält die Hochschule Bonn-Rhein-Sieg günstiges Gas von LogoEnergie. Das ist das Ergebnis einer europaweit durchgeführten Ausschreibung, die der Berliner Energie-Broker Ampere AG im Auftrag der öffentlichen Einrichtung durchführte. Durch den Versorgerwechsel erzielt die Hochschule in den kommenden zwei Jahren trotz der schwierigen Marktsituation deutliche Einsparungen bei ihren Energiekosten.
Insolvenzanfechtung von Beitragszahlungen an Sozialversicherungsträger – aktuelle Rechtsprechung
(2010)
Kurz vor Vollendung ihres 100-jährigen Forschungsjubiläums haben die Berufsgenossenschaften durch die Einführung eines Bachelor-Studiengangs für die Ausbildung zu gehobenen Funktionen im Verwaltungsbereich historische Weichen gestellt: Mit der Entscheidung, ab dem Jahre 2003 in Kooperation mit der Fachhochschule Bonn-Rhein-Sieg eine auch formelle Fachhochschulausbildung durchzuführen, ist der sich allein schon aus Hochschulrecht ergebende Auftrag verbunden, nun auch im nicht technischen Bereich Forschungskapazitäten aufzubauen und anwendungsorientiert Forschung/Entwicklung zu betreiben. Im Zuge seiner Gründung wurde darüber hinaus die Erwartung geäußert, der neue Fachbereich könne sich zu einem wissenschaftlichen Think tank der Berufsgenossenschaften entwickeln.