@phdthesis{7568, abstract = {{Today's web search and big data analytics applications aim to address information needs~(typically given in the form of search queries) ad-hoc on large numbers of texts. In order to directly return relevant information instead of only returning potentially relevant texts, these applications have begun to employ text mining. The term text mining covers tasks that deal with the inference of structured high-quality information from collections and streams of unstructured input texts. Text mining requires task-specific text analysis processes that may consist of several interdependent steps. These processes are realized with sequences of algorithms from information extraction, text classification, and natural language processing. However, the use of such text analysis pipelines is still restricted to addressing a few predefined information needs. We argue that the reasons behind are three-fold: First, text analysis pipelines are usually made manually in respect of the given information need and input texts, because their design requires expert knowledge about the algorithms to be employed. When information needs have to be addressed that are unknown beforehand, text mining hence cannot be performed ad-hoc. Second, text analysis pipelines tend to be inefficient in terms of run-time, because their execution often includes analyzing texts with computationally expensive algorithms. When information needs have to be addressed ad-hoc, text mining hence cannot be performed in the large. And third, text analysis pipelines tend not to robustly achieve high effectiveness on all texts, because their results are often inferred by algorithms that rely on domain-dependent features of texts. Hence, text mining currently cannot guarantee to infer high-quality information. In this thesis, we contribute to the question of how to address information needs from text mining ad-hoc in an efficient and domain-robust manner. We observe that knowledge about a text analysis process and information obtained within the process help to improve the design, the execution, and the results of the pipeline that realizes the process. To this end, we apply different techniques from classical and statistical artificial intelligence. In particular, we first develop knowledge-based approaches for an ad-hoc pipeline construction and for an optimal execution of a pipeline on its input. Then, we show theoretically and practically how to optimize and adapt the schedule of the algorithms in a pipeline based on information in the analyzed input texts in order to maximize execution efficiency. Finally, we learn patterns in the argumentation structures of texts statistically that remain strongly invariant across domains and that, thereby, allow for more robust analysis results in a restricted set of tasks. We formally analyze all developed approaches and we implement them as open-source software applications. Based on these applications, we evaluate the approaches on established and on newly created collections of texts for scientifically and industrially important text analysis tasks, such as financial event extraction and fine-grained sentiment analysis. Our findings show that text analysis pipelines can be designed automatically, which process only portions of text that are relevant for the information need at hand. Through scheduling, the run-time efficiency of pipelines can be improved by up to more than one order of magnitude while maintaining effectiveness. Moreover, we provide evidence that a pipeline's domain robustness substantially benefits from focusing on argumentation structure in tasks like sentiment analysis. We conclude that our approaches denote essential building blocks of enabling ad-hoc large-scale text mining in web search and big data analytics applications.}}, author = {{Wachsmuth, Henning}}, title = {{{Pipelines for Ad-hoc Large-scale Text Mining}}}, year = {{2015}}, } @inproceedings{8491, author = {{Derakhshanmanesh , Mahdi and Ebert , Jürgen and Grieger, Marvin }}, booktitle = {{Proceedings of the 2nd International Workshop on Model-Driven Engineering for Component-Based Software Systems co-located with ACM/IEEE 18th International Conference on Model Driven Engineering Languages & Systems (MoDELS 2015)}}, pages = {{6--11}}, publisher = {{CEUR Workshop Proceedings}}, title = {{{Challenges for Model-Integrating Components}}}, volume = {{1463}}, year = {{2015}}, } @inproceedings{8492, author = {{Derakhshanmanesh , Mahdi and Grieger, Marvin }}, booktitle = {{Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering 2015}}, pages = {{112--114}}, publisher = {{CEUR Workshop Proceedings}}, title = {{{On Enabling Technologies for Longevity in Software}}}, volume = {{1337}}, year = {{2015}}, } @inproceedings{8493, author = {{Derakhshanmanesh , Mahdi and Grieger , Marvin and Ebert, Jürgen }}, booktitle = {{Proceedings of the 10th Workshop on Models@run.time co-located with 18th International Conference on Model Driven Engineering Languages and Systems (MODELS 2015)}}, pages = {{21--30}}, publisher = {{CEUR Workshop Proceedings}}, title = {{{On the Need for Transactional Models@Run.Time}}}, volume = {{1474}}, year = {{2015}}, } @inproceedings{8563, author = {{Liebendörfer, Michael and Hochmuth, Reinhard}}, booktitle = {{Proceedings of the Ninth Congress of the European Society for Research in Mathematics Education}}, editor = {{Krainer, Konrad and Vondrová, Nad'a}}, publisher = {{Charles University in Prague, Faculty of Education and ERME}}, title = {{{Perceived Autonomy in the First Semester of Mathematics Studies}}}, year = {{2015}}, } @article{8568, author = {{Braun, Eileen Angélique and Liebendörfer, Michael and Schorcht, Sebastian}}, journal = {{Mitteilungen der Gesellschaft für Didaktik der Mathematik}}, number = {{98}}, pages = {{60--61}}, title = {{{Initiative Bottom-Up-Nachtreffen zum Doktorandenkolloquium der GDM}}}, volume = {{41}}, year = {{2015}}, } @inproceedings{8760, abstract = {{n this article an efficient numerical method to solve multiobjective optimization problems for fluid flow governed by the Navier Stokes equations is presented. In order to decrease the computational effort, a reduced order model is introduced using Proper Orthogonal Decomposition and a corresponding Galerkin Projection. A global, derivative free multiobjective optimization algorithm is applied to compute the Pareto set (i.e. the set of optimal compromises) for the concurrent objectives minimization of flow field fluctuations and control cost. The method is illustrated for a 2D flow around a cylinder at Re = 100.}}, author = {{Peitz, Sebastian and Dellnitz, Michael}}, booktitle = {{PAMM}}, issn = {{1617-7061}}, pages = {{613--614}}, title = {{{Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction}}}, doi = {{10.1002/pamm.201510296}}, year = {{2015}}, } @article{9603, author = {{Beutner, Marc and Rose, S}}, journal = {{Wirtschaft und Erziehung}}, number = {{7}}, pages = {{263 -- 272}}, title = {{{„Career Planning for dynamic Economies" – Individualisierung und Neue Medien als Anknüpfungspunkt für berufliche Orientierung im Rahmen des EU geförderten Projekts SELFIE}}}, year = {{2015}}, } @article{9604, author = {{Beutner, Marc and Schneider, J. N.}}, journal = {{Kölner Zeitschrift für Wirtschaft und Pädagogik}}, number = {{58}}, pages = {{3 -- 32}}, title = {{{Open Educational Resources in der aktuellen Bildungslandschaft: Motivation zur Teilung und Nutzung}}}, year = {{2015}}, } @article{9653, author = {{Beutner, Marc and Rose, S}}, journal = {{Individuelle Kompetenzentwicklungswege – Bildungsgangarbeit in einer dualisierten Ausbildungsvorbereitung. Ergebnisse und Reflexionen aus dem Forschungs- und Entwicklungsprojekt InBig}}, pages = {{153 -- 196}}, title = {{{Förderung von Berufsorientierung, Basiskompetenzen und Ausbildungsreife als Herausforderung von Bildungsgangarbeit in Bildungsgängen der beruflichen Grundbildung}}}, year = {{2015}}, } @article{9654, author = {{Beutner, Marc and Rose, M}}, journal = {{Individuelle Kompetenzentwicklungswege – Bildungsgangarbeit in einer dualisierten Ausbildungsvorbereitung. Ergebnisse und Reflexionen aus dem Forschungs- und Entwicklungsprojekt InBig}}, pages = {{217 -- 256}}, title = {{{Medienkompetenz im Kontext beruflicher Orientierung}}}, year = {{2015}}, } @article{9655, author = {{Beutner, Marc and Rohde, S}}, journal = {{Individuelle Kompetenzentwicklungswege – Bildungsgangarbeit in einer dualisierten Ausbildungsvorbereitung. Ergebnisse und Reflexionen aus dem Forschungs- und Entwicklungsprojekt InBig}}, pages = {{361 -- 384}}, title = {{{Gewaltprävention als Herausforderung für die Bildungsgangarbeit}}}, year = {{2015}}, } @misc{9695, author = {{Tönnies, Merle}}, booktitle = {{Journal of Contemporary Drama in English}}, number = {{2}}, pages = {{355--358}}, title = {{{Jürs-Munby, K. / Carroll, J. / Giles, S. (Hg.): Postdramatic Theatre and the Political}}}, volume = {{3}}, year = {{2015}}, } @inbook{9820, author = {{Klar, Tilman-Mathies and Engbring, Dieter}}, booktitle = {{Digitale Medien und Interdisziplinarität, Herausforderungen, Erfahrungen, Perspektiven }}, editor = {{Knopf, J. and Abraham, U.}}, pages = {{33--45}}, publisher = {{Waxmann}}, title = {{{Braucht die Medienbildung Impulse aus der Informatik? – Erkenntnisse aus interdisziplinären Seminaren}}}, volume = {{68}}, year = {{2015}}, } @inproceedings{986, abstract = {{The increasing amount of mobile traffic leads to a significantly higher energy consumption of mobile networks that is mainly caused by the high number of required base stations. One recent solution for this is based on a two-layered network that uses long-range macro cells to provide a full coverage signaling overlay and short-range small cells for fast data transmissions. These small cells can be switched off when they are not needed and allow network-wide energy optimizations. This paper presents an architecture that extends existing mobile networks to integrate a small cell layer that supports on-demand cell activation. We discuss how additional small cells can be interconnected with existing core components and how they can be controlled by a resource management component. Finally, a Wi-Fi based proof of concept testbed implementation is presented that demonstrates the feasibility of the approach.}}, author = {{Peuster, Manuel and Karl, Holger}}, booktitle = {{Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges}}, location = {{London}}, title = {{{An Architecture for Energy-aware On-demand Mobile Network Management}}}, year = {{2015}}, } @inproceedings{9943, abstract = {{Changing manufacturing technologies or material in well-known processes has to be followed by an adaption of process parameters. In case of the transition from aluminum wire to copper wire in heavy wire bonding, the adaption effort is high due to the strongly different mechanical properties of the wire. One of these adaption aspects, apart from wire material, is the existent oxide layers on wire and substrate. The ductile aluminum oxide is not influencing the bonding process much, because it is supposed to break apart in case of plastic deformation. The lubricating copper oxide layer has to be removed before micro welds can develop. Therefore, in this paper, experiments are carried out at low frequency to determine the friction energy needed to abrade the copper oxide layer of wire and substrate, which is indicated by an increase in the resulting friction coefficient. The friction energy per contact area to remove the interfering layers at low frequency is compared to the real bonding process working at 58 kHz. In addition, a theoretical concept is being described to get a grasp of the occurring mechanism. In the end a proposal is given how to set bonding parameters to get the cleanest surfaces with the installed bond tool.}}, author = {{Althoff, Simon and Unger, Andreas and Sextro, Walter and Eacock, Florian}}, booktitle = {{2015 17th Electronics Packaging Technology Conference}}, pages = {{1--6}}, title = {{{Improving the cleaning process in copper wire bonding by adapting bonding parameters}}}, doi = {{10.1109/EPTC.2015.7412402}}, year = {{2015}}, } @article{9944, abstract = {{Eine Vielzahl von Prozessen in der Chemie und Verfahrenstechnik kann durch Ultraschall positiv beeinflusst werden. Oftmals ist ultraschallinduzierte Kavitation der Hauptwirkmechanismus für die positiven Effekte der Beschallung. Daher ist es notwendig die Kavitationsaktivität während des Prozesses zu quantifizieren um die Beschallung für den jeweiligen Prozess optimal gestalten und überwachen zu können. Eine Möglichkeit der prozessbegleitenden Kavitationsdetektion ist die Auswertung der akustischen Emissionen von oszillierenden und kollabierenden Kavitationsblasen mittels Drucksensoren in der Flüssigkeit. Raue Prozessrandbedingungen wie hohe Temperaturen oder aggressive Flüssigkeiten erschweren es jedoch geeignete Sensoren zu finden. Als Alternative wurde daher die Nutzbarkeit der Rückwirkung von Kavitationsereignissen auf das elektrische Eingansgssignal des Ultraschallwandlers zur Quantifizierung von Kavitation untersucht. Die experimentelle Analyse hat ergeben, dass das Einsetzen und in einigen Fällen auch die Art der Kavitation auf Basis der Rückwirkung auf das Stromsignal des Ultraschallwandlers bestimmt werden kann. Die Stärke der Kavitation war hingegen nicht aus den Stromsignalen abzuleiten.}}, author = {{Bornmann, Peter and Hemsel, Tobias and Sextro, Walter and Memoli, Gianluca and Hodnett, Mark and Zeqiri, Bajram}}, journal = {{tm - Technisches Messen}}, keywords = {{Kavitationsdetektion, Self-Sensing, So- nochemie, Ultraschallwandler}}, number = {{2}}, pages = {{73--84}}, title = {{{Kavitationsdetektion mittels Self-Sensing-Ultraschallwandler}}}, doi = {{10.1515/teme-2015-0017}}, volume = {{82}}, year = {{2015}}, } @inproceedings{9945, abstract = {{Die starke Integration von Sensorik, Aktorik, Hard- und Software stellt Herausforderungen an die Verlässlichkeit intelligenter mechatronischer Systeme dar. Diese Systeme verfügen aber auch über großes Potential zur Verbesserung ihrer Verlässlichkeit durch eine Anpassung des Systemverhaltens an den aktuellen Zustand. Um den Umfang der Systemmodelle zu reduzieren und die Anpassung des Systemverhaltens zu ermöglichen, sind fortschrittliche Modellierungsmethoden notwendig, mit denen die Verlässlichkeit in frühen Phasen des Entwicklungsprozesses sichergestellt und evaluiert werden kann. Von den Attributen der Verlässlichkeit ist insbesondere die Zuverlässigkeit in hohem Maße von den auftretenden Belastungen an den Komponenten und damit vom dynamischen Systemverhalten abhängig. Bisherige Modellierungsansätze bilden diese Abhängigkeit nur unzureichend ab. Es wird daher ein Ansatz zur integrierten Modellierung mechatronischer Systeme vorgestellt. Dieser ist in der Lage, sowohl die Dynamik als auch die Zuverlässigkeit des Systems abzubilden. Die Transformation eines Modells des dynamischen Systemverhaltens generiert dabei ein Zuverlässigkeitsmodell. Für typischerweise konkurrierende Ziele können mit Hilfe von Mehrzieloptimierungsverfahren Betriebspunkte eines Systems bestimmt werden. Das integrierte Modell kann zur Erzeugung von Zielfunktionen für die Dynamik als auch für die Zuverlässigkeit genutzt werden. Die Ergebnisse ermöglichen eine Verhaltensanpassung durch Wahl eines paretooptimalen Betriebspunkts während des Betriebs. Das vorgeschlagene Konzept zur integrierten Modellierung mechatronischer Systeme bietet aufgrund des modellbasierten Entwicklungsansatzes und der automatisierten Transformation eines Verlässlichkeitsmodells eine Reduktion der Benutzereingaben und eine Entlastung des Benutzers. Dadurch wird die Wahrscheinlichkeit von Benutzerfehlern gesenkt und die Verlässlichkeit bereits während der Entwicklung erhöht. Somit können Iterationsschleifen vermieden und die Entwicklungskosten gesenkt werden.}}, author = {{Kaul, Thorben and Meyer, Tobias and Sextro, Walter}}, booktitle = {{10. Paderborner Workshop Entwurf mechatronischer Systeme}}, editor = {{Gausemeier, Jürgen and Dumitrescu, Roman and Rammig, Franz and Schäfer, Wilhelm and Trächtler, Ansgar}}, keywords = {{Verlässlichkeit, Zuverlässigkeit, Dynamik, integrierte Modellierung}}, pages = {{101--112}}, publisher = {{Heinz Nixdorf Institut, Universität Paderborn}}, title = {{{Integrierte Modellierung der Dynamik und der Verlässlichkeit komplexer mechatronischer Systeme}}}, year = {{2015}}, } @inproceedings{9946, abstract = {{Intelligent mechatronic systems are able to autonomously adapt system behavior to current environmental conditions and to system states. To allow for such reactions, complex sensor and actuator systems as well as sophisticated information processing are required, making these systems increasingly complex. However, with the risk of increased system complexity also comes the chance to adapt system behavior based on current reliability and in turn to increase reliability. The adaptation is based on switching selecting an appropriate working point at runtime. Multiple suitable working points can be found using multi-objective optimization techniques, which require an accurate system model including system reliability. At present, modeling of system reliability is a laborious manual task performed by reliability modelling experts. Despite actual system reliability being highly dependent on system dynamics, pre-existing system dynamics models and the resulting reliability model are at best loosely coupled. To allow for closer interaction among dynamics and reliability model and to ensure these are always synchronized, advanced modeling techniques are required. Therefore, an integrated model is introduced that reduces user input to a minimum and that integrates system dynamics and system reliability.}}, author = {{Kaul, Thorben and Meyer, Tobias and Sextro, Walter}}, booktitle = {{European Safety and Reliability Conference (ESREL2015)}}, editor = {{et al.}, Podofillini}}, publisher = {{Taylor and Francis}}, title = {{{Integrated Model for Dynamics and Reliability of Intelligent Mechatronic Systems}}}, doi = {{10.1201/b19094-290}}, year = {{2015}}, } @inproceedings{9947, abstract = {{This paper presents a comparison of a number of prognostic methods with regard to algorithm complexity and performance based on prognostic metrics. This information serves as a guide for selection and design of prognostic systems for real-time condition monitoring of technical systems. The methods are evaluated on ability to estimate the remaining useful life of rolling element bearing. Run-to failure vibration and temperature data is used in the analysis. The sampled prognostic methods include wear-temperature correlation method, health state estimation using temperature measurement, a multi-model particle filter approach with model parameter adaptation utilizing temperature measurements, prognostics through health state estimation and mapping extracted features to the remaining useful life through regression approach. Although the performance of the methods utilizing the vibration measurements is much better than the methods using temperature measurements, the methods using temperature measurements are quite promising in terms of reducing the overall cost of the condition monitoring system as well as the computational time. An ensemble of the presented methods through weighted average is also introduced. The results show that the methods are able to estimate the remaining useful life within error bounds of +-15\%, which can be further reduced to +-5\% with the ensemble approach.}}, author = {{Kimotho, James Kuria and Sextro, Walter}}, booktitle = {{Annual Conference of the Prognostics and Health Management Society 2015}}, keywords = {{ensemble methods, combined prognostics, data fusion}}, title = {{{Comparison and ensemble of temperature-based and vibration-based methods for machinery prognostics}}}, volume = {{6}}, year = {{2015}}, }