@article{JiangRoesslerWellmannetal., author = {Jiang, Mingze and R{\"o}ßler, Christiane and Wellmann, Eva and Klaver, Jop and Kleiner, Florian and Schmatz, Joyce}, title = {Workflow for high-resolution phase segmentation of cement clinker fromcombined BSE image and EDX spectral data}, series = {Journal of Microscopy}, volume = {2021}, journal = {Journal of Microscopy}, publisher = {Wiley-Blackwell}, address = {Oxford}, doi = {10.1111/jmi.13072}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20211215-45449}, pages = {1 -- 7}, abstract = {Burning of clinker is the most influencing step of cement quality during the production process. Appropriate characterisation for quality control and decision-making is therefore the critical point to maintain a stable production but also for the development of alternative cements. Scanning electron microscopy (SEM) in combination with energy dispersive X-ray spectroscopy (EDX) delivers spatially resolved phase and chemical information for cement clinker. This data can be used to quantify phase fractions and chemical composition of identified phases. The contribution aims to provide an overview of phase fraction quantification by semi-automatic phase segmentation using high-resolution backscattered electron (BSE) images and lower-resolved EDX element maps. Therefore, a tool for image analysis was developed that uses state-of-the-art algorithms for pixel-wise image segmentation and labelling in combination with a decision tree that allows searching for specific clinker phases. Results show that this tool can be applied to segment sub-micron scale clinker phases and to get a quantification of all phase fractions. In addition, statistical evaluation of the data is implemented within the tool to reveal whether the imaged area is representative for all clinker phases.}, subject = {Zementklinker}, language = {en} } @article{KoenigThurowBraunesetal.2010, author = {K{\"o}nig, Reinhard and Thurow, Torsten and Braunes, J{\"o}rg and Donath, Dirk and Schneider, Sven}, title = {Technische Einf{\"u}hrung in FREAC: A Framework for Enhancing Research in Architectural Design and Communication}, doi = {10.25643/bauhaus-universitaet.1449}, url = {http://nbn-resolving.de/urn:nbn:de:101:1-201105183216}, year = {2010}, abstract = {Im vorliegenden Beitrag wird ein Framework f{\"u}r ein verteiltes dynamisches Produktmodell (FREAC) vorgestellt, welches der experimentellen Softwareentwicklung dient. Bei der Entwicklung von FREAC wurde versucht, folgende Eigenschaften umzusetzen, die bei herk{\"o}mmlichen Systemen weitgehend fehlen: Erstens eine hohe Flexibilit{\"a}t, also eine m{\"o}glichst hohe Anpassbarkeit f{\"u}r unterschiedliche Fachdisziplinen; Zweitens die M{\"o}glichkeit, verschiedene Tools nahtlos miteinander zu verkn{\"u}pfen; Drittens die verteilte Modellbearbeitung in Echtzeit; Viertens das Abspeichern des gesamten Modell-Bearbeitungsprozesses; F{\"u}nftens eine dynamische Erweiterbarkeit sowohl f{\"u}r Softwareentwickler, als auch f{\"u}r die Nutzer der Tools. Die Bezeichnung FREAC umfasst sowohl das Framework zur Entwicklung und Pflege eines Produktmodells (FREAC-Development) als auch die entwickelten Tools selbst (FREAC-Tools).}, subject = {CAD}, language = {de} } @article{BrombachBrunsBimber2008, author = {Brombach, Benjamin and Bruns, Erich and Bimber, Oliver}, title = {Subobject Detection through Spatial Relationships on Mobile Phones}, doi = {10.25643/bauhaus-universitaet.1353}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20081007-14296}, year = {2008}, abstract = {We present a novel image classification technique for detecting multiple objects (called subobjects) in a single image. In addition to image classifiers, we apply spatial relationships among the subobjects to verify and to predict locations of detected and undetected subobjects, respectively. By continuously refining the spatial relationships throughout the detection process, even locations of completely occluded exhibits can be determined. Finally, all detected subobjects are labeled and the user can select the object of interest for retrieving corresponding multimedia information. This approach is applied in the context of PhoneGuide, an adaptive museum guidance system for camera-equipped mobile phones. We show that the recognition of subobjects using spatial relationships is up to 68\% faster than related approaches without spatial relationships. Results of a field experiment in a local museum illustrate that unexperienced users reach an average recognition rate for subobjects of 85.6\% under realistic conditions.}, subject = {Objekterkennung}, language = {en} } @article{KleinerRoesslerVogtetal., author = {Kleiner, Florian and R{\"o}ßler, Christiane and Vogt, Franziska and Osburg, Andrea and Ludwig, Horst-Michael}, title = {Reconstruction of calcium silicate hydrates using multiple 2D and 3D imaging techniques: Light microscopy, μ-CT, SEM, FIB-nT combined with EDX}, series = {Journal of Microscopy}, volume = {2021}, journal = {Journal of Microscopy}, publisher = {John Wiley \& Sons Ltd}, address = {Oxford}, doi = {10.1111/jmi.13081}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20220106-45458}, pages = {1 -- 6}, abstract = {This study demonstrates the application and combination of multiple imaging techniques [light microscopy, micro-X-ray computer tomography (μ-CT), scanning electron microscopy (SEM) and focussed ion beam - nano-tomography (FIB-nT)] to the analysis of the microstructure of hydrated alite across multiple scales. However, by comparing findings with mercury intrusion porosimetry (MIP), it becomes obvious that the imaged 3D volumes and 2D images do not sufficiently overlap at certain scales to allow a continuous quantification of the pore size distribution (PSD). This can be overcome by improving the resolution and increasing the measured volume. Furthermore, results show that the fibrous morphology of calcium-silicate-hydrates (C-S-H) phases is preserved during FIB-nT. This is a requirement for characterisation of nano-scale porosity. Finally, it was proven that the combination of FIB-nT with energy-dispersive X-ray spectroscopy (EDX) data facilitates the phase segmentation of a 11 × 11 × 7.7 μm3 volume of hydrated alite.}, subject = {Zementklinker}, language = {en} } @article{VakkariVoelskePotthastetal., author = {Vakkari, Pertti and V{\"o}lske, Michael and Potthast, Martin and Hagen, Matthias and Stein, Benno}, title = {Predicting essay quality from search and writing behavior}, series = {Journal of Association for Information Science and Technology}, volume = {2021}, journal = {Journal of Association for Information Science and Technology}, number = {volume 72, issue 7}, publisher = {Wiley}, address = {Hoboken, NJ}, doi = {10.1002/asi.24451}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210804-44692}, pages = {839 -- 852}, abstract = {Few studies have investigated how search behavior affects complex writing tasks. We analyze a dataset of 150 long essays whose authors searched the ClueWeb09 corpus for source material, while all querying, clicking, and writing activity was meticulously recorded. We model the effect of search and writing behavior on essay quality using path analysis. Since the boil-down and build-up writing strategies identified in previous research have been found to affect search behavior, we model each writing strategy separately. Our analysis shows that the search process contributes significantly to essay quality through both direct and mediated effects, while the author's writing strategy moderates this relationship. Our models explain 25-35\% of the variation in essay quality through rather simple search and writing process characteristics alone, a fact that has implications on how search engines could personalize result pages for writing tasks. Authors' writing strategies and associated searching patterns differ, producing differences in essay quality. In a nutshell: essay quality improves if search and writing strategies harmonize—build-up writers benefit from focused, in-depth querying, while boil-down writers fare better with a broader and shallower querying strategy.}, subject = {Information Retrieval}, language = {en} } @article{BrunsBimber2008, author = {Bruns, Erich and Bimber, Oliver}, title = {Phone-to-Phone Communication for Adaptive Image Classification}, doi = {10.25643/bauhaus-universitaet.1296}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20080722-13685}, year = {2008}, abstract = {In this paper, we present a novel technique for adapting local image classifiers that are applied for object recognition on mobile phones through ad-hoc network communication between the devices. By continuously accumulating and exchanging collected user feedback among devices that are located within signal range, we show that our approach improves the overall classification rate and adapts to dynamic changes quickly. This technique is applied in the context of PhoneGuide - a mobile phone based museum guidance framework that combines pervasive tracking and local object recognition for identifying a large number of objects in uncontrolled museum environments.}, subject = {Peer-to-Peer-Netz}, language = {en} } @article{WiegmannKerstenSenaratneetal., author = {Wiegmann, Matti and Kersten, Jens and Senaratne, Hansi and Potthast, Martin and Klan, Friederike and Stein, Benno}, title = {Opportunities and risks of disaster data from social media: a systematic review of incident information}, series = {Natural Hazards and Earth System Sciences}, volume = {2021}, journal = {Natural Hazards and Earth System Sciences}, number = {Volume 21, Issue 5}, publisher = {European Geophysical Society}, address = {Katlenburg-Lindau}, doi = {10.5194/nhess-21-1431-2021}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210804-44634}, pages = {1431 -- 1444}, abstract = {Compiling and disseminating information about incidents and disasters are key to disaster management and relief. But due to inherent limitations of the acquisition process, the required information is often incomplete or missing altogether. To fill these gaps, citizen observations spread through social media are widely considered to be a promising source of relevant information, and many studies propose new methods to tap this resource. Yet, the overarching question of whether and under which circumstances social media can supply relevant information (both qualitatively and quantitatively) still remains unanswered. To shed some light on this question, we review 37 disaster and incident databases covering 27 incident types, compile a unified overview of the contained data and their collection processes, and identify the missing or incomplete information. The resulting data collection reveals six major use cases for social media analysis in incident data collection: (1) impact assessment and verification of model predictions, (2) narrative generation, (3) recruiting citizen volunteers, (4) supporting weakly institutionalized areas, (5) narrowing surveillance areas, and (6) reporting triggers for periodical surveillance. Furthermore, we discuss the benefits and shortcomings of using social media data for closing information gaps related to incidents and disasters.}, subject = {Katastrophe}, language = {en} }