004 Datenverarbeitung; Informatik
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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.
Schwerpunkt der Arbeit ist die Auseinandersetzung mit den Möglichkeiten und Grenzen der Desktop-VR als neue Generation der Benutzerschnittstellen. Besondere Bedeutung bei dieser Art des Interface-Designs kommt den Metaphern zu. Ein großer Teil der Arbeit beschäftigt sich mit der Klassifikation, der Auswahl und dem Einsatz passender Metaphern unter Berücksichtigung der in der Applikation darzustellenden Informationsinhalte. Aus der Kombination dieser beiden Merkmale (Art der Metapher, Informationsinhalt) ergeben sich vier verschiedene virtuelle Umgebungen, deren Eigenschaften und Besonderheiten konkretisiert und an Beispielen aus dem Anwendungsgebiet der Stadtinformationssysteme vorgestellt werden. Als praktischer Untersuchungsgegenstand dient das Anwendungsgebiet der Stadtinformationssysteme. Die theoretisch basierten Erkenntnisse und Schlußfolgerungen werden durch statistische Untersuchungen, in Form von Fragebögen zu Stadtinformationssystemen, überprüft und konkretisiert.
Im vorliegenden Beitrag wird ein Framework für ein verteiltes dynamisches Produktmodell (FREAC) vorgestellt, welches der experimentellen Softwareentwicklung dient. Bei der Entwicklung von FREAC wurde versucht, folgende Eigenschaften umzusetzen, die bei herkömmlichen Systemen weitgehend fehlen: Erstens eine hohe Flexibilität, also eine möglichst hohe Anpassbarkeit für unterschiedliche Fachdisziplinen; Zweitens die Möglichkeit, verschiedene Tools nahtlos miteinander zu verknüpfen; Drittens die verteilte Modellbearbeitung in Echtzeit; Viertens das Abspeichern des gesamten Modell-Bearbeitungsprozesses; Fünftens eine dynamische Erweiterbarkeit sowohl für Softwareentwickler, als auch für 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).
Superimposing Dynamic Range
(2008)
We present a simple and cost-efficient way of extending contrast, perceived tonal resolution, and the color space of static hardcopy images, beyond the capabilities of hardcopy devices or low-dynamic range displays alone. A calibrated projector-camera system is applied for automatic registration, scanning and superimposition of hardcopies. We explain how high-dynamic range content can be split for linear devices with different capabilities, how luminance quantization can be optimized with respect to the non-linear response of the human visual system as well as for the discrete nature of the applied modulation devices; and how inverse tone-mapping can be adapted in case only untreated hardcopies and softcopies (such as regular photographs) are available. We believe that our approach has the potential to complement hardcopy-based technologies, such as X-ray prints for filmless imaging, in domains that operate with high quality static image content, like radiology and other medical fields, or astronomy.
Superimposing Dynamic Range
(2008)
Replacing a uniform illumination by a high-frequent illumination enhances the contrast of observed and captured images. We modulate spatially and temporally multiplexed (projected) light with reflective or transmissive matter to achieve high dynamic range visualizations of radiological images on printed paper or ePaper, and to boost the optical contrast of images viewed or imaged with light microscopes.
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.
Das Ziel dieser Arbeit war es, durch Verwendung geeigneter vorhandener CAD-Pläne die Bearbeitung neuer CAD-Pläne zu unterstützen. Entstanden ist ein generischer Ansatz zum fallbasierten Schließens. Da in CAD-Plänen die räumliche Struktur eine wichtige Rolle spielt, ist das Konzept auf strukturorientierte Anwendungen ausgerichtet. Deshalb bezeichne ich es als ein Konzept zum " strukturorientierten fallbasierten Schließen". Die Arbeit spezifiziert das Minimum an Wissen, welches zur Suche und Wiederverwendung von Fällen benötigt wird, wie das darüber hinausgehende Wissen verarbeitet wird, welche Zusammenhänge es zum Beispiel zwischen Vergleichs- und Anpassungswissen gibt und wie man das Wissen modellieren kann. Zur Erläuterung wird das benötigte Wissen anhand verschiedener Anwendungen dargestellt. Das in der Arbeit vorgestellte Konzept erlaubt die Ergänzung, Detaillierung und Korrektur einer Anfrage. Die beiden entscheidenden Algorithmen dienen dem Vergleich von Anfrage und Fall und der Anpassung der Information des Falles zur Modifikation der Anfrage.
In today’s information society the vast technical progress and the sinking cost of information and communication technology provide new opportunities for information supply, and new technical support for communication and cooperation over distance. These trends also entail challenges such as supplying information that is adequate for a particular person in a specific situation as well as managing communication among geographically distributed parties efficiently. Context-aware systems that use sensors in order to analyse their environment and to adapt their behaviour. Yet, adequate tools for developing sensor-based infrastructures are missing. We have designed and developed Sens-ation, an open and generic service-oriented platform, which provides powerful, yet easy-to-use, tools to software developers who want to develop context-aware, sensor-based infrastructures. The service-oriented paradigm of Sens-ation enables standardised communication within individual infrastructures, between infrastructures and their sensors, but also among distributed infrastructures. On a whole, Sens-ation facilitates the development allowing developers to concentrate on the semantics of their infrastructures, and to develop innovative concepts and implementations of context-aware systems.
Die Verbreitung mobiler Smartphones und besonders deren allgegenwärtige Lokalisierungstechnologien verändern das Navigationsverhalten im Raum nachhaltig. Parallel zur schnell voranschreitenden Entwicklung alltäglicher Geräte, die mitgeführt werden, setzt der Übergang der bereits länger dauernden Entwicklung von Virtual-Reality-Technik in eine erweiterte und augmentierte Mixed Reality ein. In diesem Spannungsfeld untersucht die vorliegende Arbeit, inwieweit richtungsgebundene und binaural wiedergegebene Stereofonie die menschliche Bewegung im Raum beeinflussen kann und versucht zu erörtern, welche Potenziale in der Wiederentdeckung einer relativ lange bekannten Technik liegen. Der Autor hat im Rahmen dieser Arbeit eine binaurale mobile Applikation für richtungsgebundene Stereofonie entwickelt, mit der virtuelle bewegte oder statische Audio-Hotspots im Raum platziert werden können. So kann links, rechts oder 30 Meter vor einer Person ein virtueller oder tatsächlicher Klang im Raum verortet sein. Durch die in Echtzeit berechnete binaurale Wiedergabe der Klangquellen mit einem Stereo-Kopfhörer können diese räumlich verorteten Klänge mit zwei Ohren dreidimensional wahrgenommen werden, ähnlich dem räumlichen Sehen mit zwei Augen. Durch den Einsatz mehrerer lokalisierter Klangquellen als Soundscape entsteht eine augmentierte auditive Realität, die die physische Realität erweitert. Die Position und Navigation des Nutzers wird durch binaurale Lautstärkenmodulation (die Lautstärke nimmt bei abnehmender Distanz zur Quelle zu) und Stereopanning mit Laufzeitmodulation (die Richtung wird über ein Stereosignal auf beiden Ohren räumlich links-rechts-vorne verortet) interaktiv und kybernetisch beeinflusst. Die Nutzer navigieren — durch ihr Interesse an den hörbaren virtuellen Klangquellen geleitet — durch einen dynamisch erzeugten, dreidimensionalen akustischen Raum, der gleichzeitig ein virtueller und kybernetischer Raum ist, da die Repräsentation der Klänge an die Bewegung und Ausrichtung der Nutzer im Raum angepasst wird. Diese Arbeit untersucht, ob die Bewegung von Menschen durch (virtuelle) Klänge beeinflusst werden kann und wie groß oder messbar dieser Einfluss ist. Dabei können nicht alle künstlerischen, architektonischen und philosophischen Fragen im Rahmen der vorliegenden Schrift erörtert werden, obwohl sie dennoch als raumtheoretische Fragestellung von Interesse sind. Hauptgegenstand der vorliegenden Arbeit liegt in der Erforschung, ob richtungsgebundene Stereofonie einen relevanten Beitrag zur menschlichen Navigation, hauptsächlich zu Fuß, in urbanen Gebieten — vorwiegend im Außenraum — leisten kann. Der erste Teil gliedert sich in »Raum und Klang«, es werden raumtheoretische Überlegungen zur menschlichen Bewegung im Raum, Raumvorstellungen, räumliche Klänge und Klangwahrnehmung sowie die Entwicklung stereofoner Apparaturen und Aspekte der Augmented Audio Reality besprochen. Im zweiten Teil werden drei Demonstratoren als Anwendungsszenarien und drei Evaluierungen im Außenraum vorgestellt. Die Tests untersuchen, ob sich das Verfahren zur Navigation für Fußgänger eignet und inwieweit eine Einflussnahme auf das Bewegungsverhalten von Nutzern getroffen werden kann. Die Auswertungen der Tests zeigen, dass sich stereofone Klänge grundsätzlich als Navigationssystem eignen, da eine große Mehrzahl der Teilnehmer die akustisch markierten Ziele leicht gefunden hat. Ebenso zeigt sich ein klarer Einfluss auf die Bewegungsmuster, allerdings ist dieser abhängig von individuellen Interessen und Vorlieben. Abschließend werden die Ergebnisse der Untersuchungen im Kontext der vorgestellten Theorien diskutiert und die Potenziale stereofoner Anwendungen in einem Ausblick behandelt. Bei der Gestaltung, Erzeugung und Anwendung mobiler Systeme sind unterschiedliche mentale und räumliche Modelle und Vorstellungen der Entwickler und Anwender zu beachten. Da eine umfassende transdisziplinäre Betrachtung klare Begrifflichkeiten erfordert, werden Argumente für ein raumtheoretisches Vokabular diskutiert. Diese sind für einen gestalterischen Einsatz von richtungsgebundener Stereofonie — besonders im Kontext mobiler Navigation durch akustisch augmentierte Räume — äußerst relevant.
The task-based view of web search implies that retrieval should take the user perspective into account. Going beyond merely retrieving the most relevant result set for the current query, the retrieval system should aim to surface results that are actually useful to the task that motivated the query.
This dissertation explores how retrieval systems can better understand and support their users’ tasks from three main angles: First, we study and quantify search engine user behavior during complex writing tasks, and how task success and behavior are associated in such settings. Second, we investigate search engine queries formulated as questions, and explore patterns in a large query log that may help search engines to better support this increasingly prevalent interaction pattern. Third, we propose a novel approach to reranking the search result lists produced by web search engines, taking into account retrieval axioms that formally specify properties of a good ranking.
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.
Recent radiometric compensation techniques make it possible to project images onto colored and textured surfaces. This is realized with projector-camera systems by scanning the projection surface on a per-pixel basis. With the captured information, a compensation image is calculated that neutralizes geometric distortions and color blending caused by the underlying surface. As a result, the brightness and the contrast of the input image is reduced compared to a conventional projection onto a white canvas. If the input image is not manipulated in its intensities, the compensation image can contain values that are outside the dynamic range of the projector. They will lead to clipping errors and to visible artifacts on the surface. In this article, we present a novel algorithm that dynamically adjusts the content of the input images before radiometric compensation is carried out. This reduces the perceived visual artifacts while simultaneously preserving a maximum of luminance and contrast. The algorithm is implemented entirely on the GPU and is the first of its kind to run in real-time.
Projector-based displays have been evolving tremendously in the last decade. Reduced costs and increasing capabilities have let to a widespread use for home entertainment and scientific visualization. The rapid development is continuing - techniques that allow seamless projection onto complex everyday environments such as textured walls, window curtains or bookshelfs have recently been proposed. Although cameras enable a completely automatic calibration of the systems, all previously described techniques rely on a precise mapping between projector and camera pixels. Global illumination effects such as reflections, refractions, scattering, dispersion etc. are completely ignored since only direct illumination is taken into account. We propose a novel method that applies the light transport matrix for performing an image-based radiometric compensation which accounts for all possible lighting effects. For practical application the matrix is decomposed into clusters of mutually influencing projector and camera pixels. The compensation is modeled as a linear equation system that can be solved separately for each cluster. For interactive compensation rates this model is adapted to enable an efficient implementation on programmable graphics hardware. Applying the light transport matrix's pseudo-inverse allows to separate the compensation into a computational expensive preprocessing step (computing the pseudo-inverse) and an on-line matrix-vector multiplication. The generalized mathematical foundation for radiometric compensation with projector-camera systems is validated with several experiments. We show that it is possible to project corrected imagery onto complex surfaces such as an inter-reflecting statuette and glass. The overall sharpness of defocused projections is increased as well. Using the proposed optimization for GPUs, real-time framerates are achieved.
Projector-Based Augmentation
(2006)
Projector-based augmentation approaches hold the potential of combining the advantages of well-establishes spatial virtual reality and spatial augmented reality. Immersive, semi-immersive and augmented visualizations can be realized in everyday environments – without the need for special projection screens and dedicated display configurations. Limitations of mobile devices, such as low resolution and small field of view, focus constrains, and ergonomic issues can be overcome in many cases by the utilization of projection technology. Thus, applications that do not require mobility can benefit from efficient spatial augmentations. Examples range from edutainment in museums (such as storytelling projections onto natural stone walls in historical buildings) to architectural visualizations (such as augmentations of complex illumination simulations or modified surface materials in real building structures). This chapter describes projector-camera methods and multi-projector techniques that aim at correcting geometric aberrations, compensating local and global radiometric effects, and improving focus properties of images projected onto everyday surfaces.
Presence, Privacy, and PRIMIFaces: Towards Selective Information Disclosure in Instant Messaging
(2008)
Efficient distant cooperation often requires spontaneous ad-hoc social interaction, which is only possible with adequate information on the prospective communication partner. This often requires disclosing and sharing personal information via tools such as instant messaging systems and can conflict with the users’ wishes for privacy. In this paper we present an initial study investigating this trade-off and discuss implications for the design of instant messaging systems. We present the functionality and design of the PRIMIFaces instant messaging prototype supporting flexible identity management and selective information disclosure.
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.
We present PhoneGuide – an enhanced museum guidance approach that uses camera-equipped mobile phones and on-device object recognition. Our main technical achievement is a simple and light-weight object recognition approach that is realized with single-layer perceptron neuronal networks. In contrast to related systems which perform computational intensive image processing tasks on remote servers, our intention is to carry out all computations directly on the phone. This ensures little or even no network traffic and consequently decreases cost for online times. Our laboratory experiments and field surveys have shown that photographed museum exhibits can be recognized with a probability of over 90%. We have evaluated different feature sets to optimize the recognition rate and performance. Our experiments revealed that normalized color features are most effective for our method. Choosing such a feature set allows recognizing an object below one second on up-to-date phones. The amount of data that is required for differentiating 50 objects from multiple perspectives is less than 6KBytes.
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.
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.