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Institute
- Fakultät Architektur und Gestaltung (41)
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Arbeit an der Zukunft
(2016)
Die Digitalisierung beeinflusst nahezu alle Lebensbereiche. Welche der durch sie möglichen »Zukünfte« eintreten wird, ist heute schwer zu erkennen. Klar ist aber: Die HTWG muss ihre Studierenden darauf vorbereiten. Und sie will die Zukunft selbst mitgestalten. Ein Weg dahin ist die Modellfabrik 4.0, die fakultätsübergreifend Lehr- und Forschungsansätze bietet.
Filmische Dokumentation zu interdisziplinärem studentischen Hochschulprojekt des Fachbereichs Architektur der HTWG Konstanz (Studierende Bachelor und Master) und der BTU Cottbus-Senftenberg, Ausstellung zeitgenössischer Kunst, Gallery Weekend Berlin, 29.4.-01.05.2016, Dauer: 4.35 min.
Volum III ist eine ortsspezifische, audio-visuelle Inszenierung eines außergewöhnlichen und historisch imposanten Baudenkmals, das sich mitten in der Stadt unterirdisch versteckt.
Die Dinge meiner Gegenwart
(2014)
Unsere Welt besteht aus Dingen. Wenn wir geboren werden, sind sie bereits da und warten auf uns. Und wenn wir sterben, bleiben sie zurück. Dazwischen liegen Bedeutungen.
Das Buch «Die Dinge meiner Gegenwart» geht der Frage nach, ob es Unterschiede in der Art der Bedeutungen persönlicher Gegenstände gibt. Dafür beschreibt und fotografiert der Autor einhundert seiner persönlichen Dinge und untersucht mit akribischer Genauigkeit den Unterschied zwischen Typen von Gegenständen an konkreten Artefakten.
Es sind die Dinge seiner Gegenwart. Simon Felix Tarantik's Absicht ist es, diese Welt und die Dinge darin so darzustellen, wie er sie wahrnimmt und darauf zu achten nichts Wichtiges wegzulassen. Einhundert deshalb, weil diese Menge ein Stöbern – ein Blättern im Buch –, ein beliebiges Aufschlagen erlaubt und da bereits Neil MacGregor anhand von einhundert Dingen die Vergangenheit und Adrian Hon anhand von einhundert Dingen die Zukunft beschrieben haben, stellt er sich mit einhundert seiner Dinge zwischen sie und beschreibt die Gegenwart – seine Gegenwart.
Auf die persönliche Perspektive kommt es in dieser Arbeit an, darauf, die tatsächlichen Bedeutungen konkreter einzelner Dinge in einer Bandbreite offenzulegen, wie es für gewöhnlich nicht geschieht – denn niemand sieht Dinge auf dieselbe Weise. Empirisch und schöpferisch ordnen sie sich im Buch, reflektieren sich in Geschichten, Erinnerungen, Gefühlen und Bedeutungen und laden den Leser ein, seine Imagination gegen das Beschriebene und fotografisch Abgebildete abzuwiegen.
Kunstwelten
(2016)
Stadterfahrungen von Zeitzeugen aller Epochen untersuchte Professor Leonhard Schenk vom Fachgebiet Städtebau und Entwerfen der Studiengänge Architektur in seinem Fortbildungssemester im SoSe17. Wie erleben Menschen die Stadt, was erscheint ihnen am spezifischen „Stadterlebnis“ bemerkenswert? Die menschlich-subjektive Komponente erweitert die Auseinandersetzung mit der Stadt, die bisher primär aus einer theoretischen, künstlerischen oder technischen Perspektive betrachtet wird.
Sein Fortbildungssemester, das er am Institut für Architekturgeschichte ifag der Universität Stuttgart verbrachte, führte ihn auch zu unterschiedlichen Auslandsstationen, europäischen Metropolen und Partnerhochschulen, die er im Rahmen des Erasmusprogramms betreut.
Monitor Energiewende 2017
(2017)
Im Monitor 2017 wurde der Stand der Energiewende im Landkreis Konstanz aktualisiert und erweitert. Dabei lag ein Fokus zum einen auf der Frage, wie sich die ungewöhnlich hohe Bevölkerungszunahme in den Jahren 2014 und 2015 sowie die prognostizierte Bevölkerungsentwicklung bis zum Jahr 2035 auf den Energiebedarf, die erneuerbaren Energiepotenziale und die Treibhausgasemissionen des Landkreises auswirken. Zum anderen wurde untersucht, welche Stellschrauben sich eignen, um den Energiebedarf und die Treibhausgasemissionen trotz des Bevölkerungswachstums in dem angestrebten Umfang zu reduzieren.
The proposed approach applies current unsupervised clustering approaches in a different dynamic manner. Instead of taking all the data as input and finding clusters among them, the given approach clusters Holter ECG data (long-term electrocardiography data from a holter monitor) on a given interval which enables a dynamic clustering approach (DCA). Therefore advanced clustering techniques based on the well known Dynamic Time Warping algorithm are used. Having clusters e.g. on a daily basis, clusters can be compared by defining cluster shape properties. Doing this gives a measure for variation in unsupervised cluster shapes and may reveal unknown changes in healthiness. Embedding this approach into wearable devices offers advantages over the current techniques. On the one hand users get feedback if their ECG data characteristic changes unforeseeable over time which makes early detection possible. On the other hand cluster properties like biggest or smallest cluster may help a doctor in making diagnoses or observing several patients. Further, on found clusters known processing techniques like stress detection or arrhythmia classification may be applied.
This chapter contains three advanced topics in model order reduction (MOR): nonlinear MOR, MOR for multi-terminals (or multi-ports) and finally an application in deriving a nonlinear macromodel covering phase shift when coupling oscillators. The sections are offered in a preferred order for reading, but can be read independently.
The detection of differences between images of a printed reference and a reprinted wood decor often requires an initial image registration step. Depending on the digitalization method, the reprint will be displaced and rotated with respect to the reference. The aim of registration is to match the images as precisely as possible. In our approach, images are first matched globally by extracting feature points from both images and finding corresponding point pairs using the RANSAC algorithm. From these correspondences, we compute a global projective transformation between both images. In order to get a pixel-wise registration, we train a learning machine on the point correspondences found by RANSAC. The learning algorithm (in our case Gaussian process regression) is used to nonlinearly interpolate between the feature points which results in a high precision image registration method on wood decors.
Brennstoffzellen
(2015)
Kapitel 9 beginnt mit einer kurzen historischen Einführung und beschreibt dann nach einer ersten Klassifizierung das Funktionsprinzip und die thermodynamischen Grundlagen der direkten Umwandlung chemischer in elektrische Energie. Es folgen die verschiedenen Wirkungsgraddefinitionen und Verlustursachen und das sich daraus ergebende typische Betriebsverhalten einer Brennstoffzelle mit höherem Wirkungsgrad im Teillastbereich. Es werden die Anwendungsgebiete, die notwendigen Grundkomponenten und der Stand der Entwicklung der verschiedenen Typen AFC, PEFC, PAFC, MCFC und SOFC besprochen, Vor- und Nachteile diskutiert und einige ausgeführte Anlagen vorgestellt.
Energietechnische Grundlagen
(2015)
Kapitel 2 stellt kurz die verschiedenen Energieformen mechanisch, thermisch, chemisch etc. vor und das Prinzip von der Erhaltung der (Gesamt-) Energie. Die Möglichkeit zur Umwandlung von thermischer Energie in nutzbare mechanische Energie durch Kreisprozesse, mit dem theoretischen Carnot-Prozess als Obergrenze der Umwandelbarkeit, wird erläutert. Die Angabe der Größenordnung des regenerativen Energieangebots und des anthropogenen Umsatzes und die Unterscheidung zwischen Primär- und Sekundärenergien schließen das Kapitel ab.
Digital cameras are subject to physical, electronic and optic effects that result in errors and noise in the image. These effects include for example a temperature dependent dark current, read noise, optical vignetting or different sensitivities of individual pixels. The task of a radiometric calibration is to reduce these errors in the image and thus improve the quality of the overall application. In this work we present an algorithm for radiometric calibration based on Gaussian processes. Gaussian processes are a regression method widely used in machine learning that is particularly useful in our context. Then Gaussian process regression is used to learn a temperature and exposure time dependent mapping from observed gray-scale values to true light intensities for each pixel. Regression models based on the characteristics of single pixels suffer from excessively high runtime and thus are unsuitable for many practical applications. In contrast, a single regression model for an entire image with high spatial resolution leads to a low quality radiometric calibration, which also limits its practical use. The proposed algorithm is predicated on a partitioning of the pixels such that each pixel partition can be represented by one single regression model without quality loss. Partitioning is done by extracting features from the characteristic of each pixel and using them for lexicographic sorting. Splitting the sorted data into partitions with equal size yields the final partitions, each of which is represented by the partition centers. An individual Gaussian process regression and model selection is done for each partition. Calibration is performed by interpolating the gray-scale value of each pixel with the regression model of the respective partition. The experimental comparison of the proposed approach to classical flat field calibration shows a consistently higher reconstruction quality for the same overall number of calibration frames.
Probabilistic data association for tracking extended targets under clutter using random matrices
(2015)
The use of random matrices for tracking extended objects has received high attention in recent years. It is an efficient approach for tracking objects that give rise to more than one measurement per time step. In this paper, the concept of random matrices is used to track surface vessels using highresolution automotive radar sensors. Since the radar also receives a large number of clutter measurements from the water, for the data association problem, a generalized probabilistic data association filter is applied. Additionally, a modification of the filter update step is proposed to incorporate the Doppler velocity measurements. The presented tracking algorithm is validated using Monte Carlo Simulation, and some performance results with real radar data are shown as well.
Small vessels or unmanned surface vehicles only have a limited amount of space and energy available. If these vessels require an active sensing collision avoidance system it is often not possible to mount large sensor systems like X-Band radars. Thus, in this paper an energy efficient automotive radar and a laser range sensor are evaluated for tracking surrounding vessels. For these targets, those type of sensors typically generate more than one detection per scan. Therefore, an extended target tracking problem has to be solved to estimate state end extension of the vessels. In this paper, an extended version of the probabilistic data association filter that uses random matrices is applied. The performance of the tracking system using either radar or laser range data is demonstrated in real experiments.
Digitalisierung im Bauwesen
(2015)
Der Begriff Schatten-IT beschreibt Systeme, die außerhalb des Verantwortungsbereiches der IT durch die Fachabteilung eigenständig entwickelt und betrieben werden. Obwohl dieses Phänomen weit verbreitet ist, blieb diese Schatten-IT in Wissenschaft und in Praxis lange unbeachtet. Seit einiger Zeit ist eine verstärkte Auseinandersetzung mit dem Phänomen erkennbar. Jedoch gibt es bisher nur wenige empirisch gestützte Erkenntnisse über die Schatten-IT. Diese Lücke wird in dem vorliegenden Beitrag angegangen. Auf Basis von vier Fallstudien werden die Verbreitung, Verwendung und die Qualität der Schatten-IT ermittelt. Dabei zeigt sich, dass die Schatten-IT mit durchaus erheblichen Risiken verbunden sein kann. Demgegenüber bleibt die Qualität jedoch merklich zurück. Erkennbar ist dabei auch, dass die Schatten-IT nicht im Blickfeld der Kontrollsysteme der Unternehmen erscheint. Durch Maßnahmen wie die Steigerung der Awareness der Schatten-IT im Unternehmen sowie eine Entwicklung der Schatten-IT hin zu einer gesteuerten Fachbereichs-IT lassen sich die Risiken wirksam reduzieren. Zudem sind die Kontrollsysteme der Unternehmen so anzupassen, dass auch die Schatten-IT in diesen sichtbar wird.
Schatten-BI - Was tun?
(2015)
Besides energy efficiency, product quality is gaining importance in the design of drying processes for sensitive biological foodstuffs. The influence of drying parameters on the drying kinetics of apples has been extensively investigated; the information about effects on product quality available in literature however, is often contradictory. Furthermore quality changes obtained applying different drying parameters are usually hard to compare. As most quality changes can be expressed as zero, first or second order reactions and mainly depend on drying air temperature and drying time, it would be desirable to cross-check the results in function thereof. This paper introduces a method of quality determination using a new reference value, the cumulated thermal load. It is defined as the time integral of the product surface temperature and improves the comparability of quality changes obtained by different experimental settings in drying of apples and tomatoes. It could be shown that quality parameters like color changes and shrinkage during apple drying and the content of temperature sensitive acids in tomatoes vary linearly with the integral of product temperature over time.
Nowadays, the number of flexible and fast human to application system interactions is dramatically increasing. For instance, citizens interact with the help of the internet to organize surveys or meetings (in real-time) spontaneously. These interactions are supported by technologies and application systems such as free wireless networks, web -or mobile apps. Smart Cities aim at enabling their citizens to use these digital services, e.g., by providing enhanced networks and application infrastructures maintained by the public administration. However, looking beyond technology, there is still a significant lack of interaction and support between "normal" citizens and the public administration. For instance, democratic decision processes (e.g. how to allocate public disposable budgets) are often discussed by the public administration without citizen involvement. This paper introduces an approach, which describes the design of enhanced interactional web applications for Smart Cities based on dialogical logic process patterns. We demonstrate the approach with the help of a budgeting scenario as well as a summary and outlook on further research.
Conducting surveillance impact assessment is the first step to solve the "Who monitors the monitor?" problem. Since the surveillance impacts on different dimensions of privacy and society are always changing, measuring compliance and impact through metrics can ensure the negative consequences are minimized to acceptable levels. To develop metrics systematically for surveillance impact assessment, we follow the top-down process of the Goal/Question/Metric paradigm: 1) establish goals through the social impact model, 2) generate questions through the dimensions of surveillance activities, and 3) develop metrics through the scales of measure. With respect to the three factors of impact magnitude: the strength of sources, the immediacy of sources, and the number of sources, we generate questions concerning surveillance activities: by whom, for whom, why, when, where, of what, and how, and develop metrics with the scales of measure: the nominal scale, the ordinal scale, the interval scale, and the ratio scale. In addition to compliance assessment and impact assessment, the developed metrics have the potential to address the power imbalance problem through sousveillance, which employs surveillance to control and redirect the impact exposures.
In einem Expertengespräch tauschen sich Herr Michael Kayser, Geschäftsführer der digital spirit GmbH und Herr Prof. Dr. Stephan Grüninger, Direktor des Center for Business Compliance & Integrity (CBCI) an der Hochschule Konstanz, zur neuen ISO 19600 “Compliance Management Systems” aus. Das Gespräch wurde von Frau Sabrina Quintus, Akademische Mitarbeiterin am CBCI, geleitet.
Während jeder Phase der touristischen Wertschöpfungskette spielen Wahrnehmungsprozesse eine relevante Rolle. Sofern es sich nicht um einen Wiederholungsbesucher handelt, kann der potenzielle Tourist zunächst nur auf das Image, das Fremdbild einer Destination, zurückgreifen, das nicht nur durch Tourismusmarketing, sondern auch durch andere Wahrnehmungsprozesse geformt wurde: immer wenn die Destination Gegenstand in einem Film, einer Nachrichtensendung oder einem Buch ist, trägt dies dazu bei, das Image zu formen. Somit ist nur ein Teil der touristischen Wahrnehmung vor der Reise eine durch Tourismusmarketing gesteuerte. Das Image oder Bild, das ein potenziell Reisender von einer Destination hat, kann somit über Jahre hinweg aufgebaut worden sein, durch Verbindung sämtlicher Eindrücke von ihr, die er im Laufe seines Lebens gesammelt hat. Diese inneren Bilder können individuell abweichen, weisen aber in vielen Fällen kollektive Gemeinsamkeiten auf (z. B. wird Paris mehrheitlich mit Romantik, mit der Südsee das Paradies und Berlin mit Party verbunden). Während und nach der Reise sucht der Tourist die Bestätigung dieser inneren Bilder – sie erweisen sich als persistent auch gegenüber der Realität. Diese Art der touristischen Wahrnehmung wird von Hennig (1997) treffend mit dem Begriff der „Imaginären Geographie“ beschrieben und soll daher zentraler Bezugspunkt dieses Beitrages sein. Angewendet wird dieses Konzept auf das Fallbeispiel Sevilla. Ziele des Beitrages sind daher:
- Aufzeigen des Erklärungspotenzialsdes Konzepts der „Imaginären Geographie“ von Christoph Hennig für touristische Wahrnehmungsprozesse
- Darstellung der Rolle der touristischen Intermediäre klassischer und neuer Reisemedienanhand des Fallbeispiels Sevilla
- Erläuterung des Bezugs der „Imaginäre Geographien“ (und verwandter Ansätze) zur Praxis (hier Fallbeispiel Sevilla)
Volterra and Wiener series
(2011)
Volterra and Wiener series are two classes of polynomial representations of nonlinear systems. They are perhaps the best understood and most widely used nonlinear system representations in signal processing and system identification. A Volterra or Wiener representation can be thought of as a natural extension of the classical linear system representation. In addition to the convolution of the input signal with the system's impulse response, the system representation includes a series of nonlinear terms that contain products of increasing order of the input signal with itself. It can be shown that these polynomial extension terms allow for representing a large class of nonlinear systems which basically encompasses all systems with scalar outputs that are time-invariant and have noninfinite memory.
Technology commercialization is described as the most dreadful challenge for technology-based entrepreneurs. The scarcity of resources and limited managerial experience make it a daunting task, putting in danger the whole firm emergence. Prior research has often build upon the resource-based view to propose that the new firms' performance is dependent on their initial resource endowments and configurations. Nevertheless, little is known on how the early-stage decisions of the entrepreneur might influence on the growth of the firm. Scholars have suggested that both technology and market orientation actions could influence the performance and growth of firms in this context; nevertheless, there is limited empirical evidence of the influence of these different orientations in the context of new technology-based firms (NTBFs). In this study we propose to explore the influence of technology and demand creation actions adopting a demand-side view. We use a longitudinal study on a panel dataset (2004-2007) with 249 U.S. new high-technology firms to test our hypothesis. The results point towards a rather limited influence of initial resource configurations, as well as an unexpected influence of market and technology orientation in the growth dimensions of an NTBF. The research holds implications for the management of new technology-based firms and for those interested in supporting the development of technology entrepreneurship.
Das hier beschriebene und auf einem FPGA vom Typ Spartan-3A DSP realisierte System dient dazu, auf besonders effiziente Weise die Häufigkeitsverteilung nicht erkannter fehlerhafter Nachrichten mit verschiedenen CRCPolynomen
zu berechnen. Damit die Berechnung in möglichst kurzer Zeit stattfindet, wurde das System aus 64 parallel arbeitenden Instanzen von CRC-Findern in mehrstufiger Fließbandorganisation aufgebaut. In der hier beschriebenen Ausbaustufe erreicht das System eine Gesamtleistung von 6,4 ·109 Operationen in der Sekunde.
Domain-specific modelling is increasingly adopted in the software development industry. While open source metamodels like Ecore have a wide impact, they still have some problems. The independent storage of nodes (classes) and edges (references) is currently only possible with complex, specific solutions. Furthermore the developed models are stored in the extensible markup language (XML) data format, which leads to problems with large models in terms of scaling. In this paper we describe an approach that solves the problem of independent classes and references in metamodels and we store the models in the JavaScript Object Notation (JSON) data format to support high scalability. First results of our tests show that the developed approach works and classes and references can be defined independently. In addition, our approach reduces the amount of characters per model by a factor of approximately two compared to Ecore. The entire project is made available as open source under the name MoDiGen. This paper focuses on the description of the metamodel definition in terms of scaling.
Durch den Einsatz von mobilen Endgeräten (z.B. Tablets, Smartphones) erschließen sich immer mehr Möglichkeiten, die Ausführung von Geschäftsprozessen zu unterstützen. Beispielsweise können Geschäftsprozessaktivitäten (z.B. Genehmigung eines Angebots) ortsunabhängig bearbeitet werden, wodurch die Durchlaufzeit signifikant reduziert wird. Die Nutzung von mobilen Apps beschränkt sich hierbei meist nur auf die Unterstützung von effizienter und flexibler Interaktion zwischen den verschiedenen ausführenden Rollen. Dieser Artikel beschreibt, wie mobile Apps nicht nur die Ausführung, sondern auch die Optimierung von Geschäftsprozessen unterstützen können. Hierzu werden vordefinierte Qualitätskriterien kontextabhängig während der Ausführung von Aktivitäten erfasst. Die durch traditionelle Methoden erfassten Daten (z.B. Messung von Kennzahlen) werden somit durch in Echtzeit gesammeltes User Feedback ergänzt. Der Ansatz wird am Beispiel einer eigens entwickelten mobilen App demonstriert und evaluiert.
This paper considers intervals of real matrices with respect to partial orders and the problem to infer from some exposed matrices lying on the boundary of such an interval that all real matrices taken from the interval possess a certain property. In many cases such a property requires that the chosen matrices have an identically signed inverse. We also briefly survey related problems, e.g., the invariance of matrix properties under entry-wise perturbations.
We consider classes of (Formula presented.)-by-(Formula presented.) sign regular matrices, i.e. of matrices with the property that all their minors of fixed order (Formula presented.) have one specified sign or are allowed also to vanish, (Formula presented.). If the sign is nonpositive for all (Formula presented.), such a matrix is called totally nonpositive. The application of the Cauchon algorithm to nonsingular totally nonpositive matrices is investigated and a new determinantal test for these matrices is derived. Also matrix intervals with respect to the checkerboard ordering are considered. This order is obtained from the usual entry-wise ordering on the set of the (Formula presented.)-by-(Formula presented.) matrices by reversing the inequality sign for each entry in a checkerboard fashion. For some classes of sign regular matrices, it is shown that if the two bound matrices of such a matrix interval are both in the same class then all matrices lying between these two bound matrices are in the same class, too.
Rhetorik-Wörterbuch
(2015)