Open Access

Bericht über ein Fortbildungssemester im Sommersemester 2017 zum Thema Blended Interaction als Gast der HCI Arbeitsgruppe Prof. Dr. Reiterer, Universität Konstanz

Anthropologists’ arrival stories have long served to justify, naturalize, and domesticate—often through humor—the fraught moment of entering unasked into other people's lives. This textual convention has been thoroughly critiqued, but no comparable attention has been paid to the analogous moment of departure from the field. The digital age enables both sides to maintain contact, a shift that negates the finality of earlier departures. This article engages the changes wrought by digital media that allow us to remain connected to the field. While this seems a humane affordance, it also means that it is no longer feasible to cleanly sever ties established ‘there’. When anthropologists leave the field, the field will likely follow them—on Facebook or Instagram.

The Ethiopian state increasingly seeks to enlist putative ‘traditional authorities’ to lend legitimacy to policies and interventions in the southwestern peripheries of the country. The underlying assumptions do not accord with the perceptions of the local populations: among the Kara in the South Omo region, legitimacy is predicated upon duty and accountability, and higher degrees of public legitimacy are disconnected from authority and direct command over other people’s conduct. The office of the Kara bitti, the highest spiritual leader, thus proves intractable to such attempts at enlistment and has been little affected by the radical transformation of the Kara’s lives through increasing integration into the Ethiopian state over recent decades. But even as the office has changed little, the lives of those expected to assume the role of bitti has, and the duties of a bitti strongly constrain the office holder and limit their personal ambitions and participation in politics at the local, regional and national level.

Überlegungen im Rahmen der Energiewende bezüglich der zukünftigen Technologieplattformen und Infrastrukturen der Energieversorgung müssen als wichtigen ökonomischen Faktor die zukünftig zu erwartenden Kosten dieser Technologien und Infrastrukturen einbeziehen. Hierbei spielen regelmäßig auch Überlegungen bzgl. der jeweils zugrunde liegenden Skaleneffekte eine große Rolle, sowohl in ihrer Variante als statische als auch dynamische Skaleneffekte. Häufig mangelt es einschlägigen Darstellungen dieser Aspekte jedoch an einer präzisen Unterscheidung der verschiedenen Ausprägungen von Skaleneffekten; dies gilt insbesondere auch für die konkrete Ausprägung als Größendegressionseffekt. Daher wird in diesem Papier eine systematische Klärung der entsprechenden Zusammenhänge speziell für Technologien des Energiesektors vorgenommen.

Die fortschreitende Urbanisierung sowie die voranschreitende digitale Transformation stellen viele Städte vor großen Herausforderungen. Um den wirtschaftlichen und gesellschaftlichen Veränderungsprozessen gerecht zu werden, braucht es innovative Lösungen. Die Nutzung digitaler Technologien und Daten eröffnen Städten neue Möglichkeiten, um sich zukunftsfähig zu gestalten. So wird die Stadt der Zukunft eine Stadt der Daten sein. Sie ist smart, vernetzt und entwickelt intelligente, digitale Lösungen für sich und ihre Bürger. Digitale, offene föderierte Plattformen bilden hierbei das Herzstück. Als zentraler Zugangspunkt zu Daten schaffen sie eine grenzenlose Vernetzung und generieren einen Mehrwert für Stadt, Bürger und Wirtschaft. Sie vereinen smarte Dienste und Services, verbessern die digitale Teilhabe und erhöhen die Lebensqualität in einer Stadt. Das Ziel in der vorliegenden Arbeit ist die Entwicklung von Anwendungsfällen aus dem Bereich der Bauwirtschaft für offene, föderierte digitale Plattformen. Der Fokus liegt hierbei auf der Online-Plattform für sogenannte digitale Zwillinge, die ein virtuelles Abbild der Realität erschaffen. Der virtuelle Stadtzwilling bildet das Fundament zahlreicher Smart City-Konzepte. Er ist ein Smart City-Werkzeug, das aufgrund seiner vielfältigen Einsatzfähigkeit für Städte großes Potenzial bietet. Der Stadt Konstanz eröffnen sich mit der Etablierung eines digitalen Stadtzwillings neue Möglichkeiten für eine resiliente und umweltschonende Gestaltung ihres urbanen Raums. Der digitale Zwilling findet in den unterschiedlichsten Feldern Anwendung. So kann er beispielsweise für die Entwicklung klimaoptimierter Bebauungsszenarien eingesetzt oder für intelligent vorausschauende Verkehrsleitsysteme genutzt werden. Darüber hinaus ermöglicht er neue Formen mit der Öffentlichkeit zu interagieren, indem er geplante Bauvorhaben und deren Auswirkungen realitätsgetreu abbildet. Dennoch stellt die Etablierung und die vollumfängliche Nutzung des digitalen Zwillings die Stadt Konstanz vor großen Herausforderungen. So setzt die Anwendung smarter städtischer Lösungen einen ausreichenden Datenschutz voraus. Darüber hinaus ist die digitale Transformation ein zeitintensiver und kostenaufwendiger Prozess, für den entsprechende Ressourcen benötigt werden. Zudem bedarf es einen gesellschaftsübergreifenden Paradigmenwechsel, der bislang nur langsam voranschreitet. Dennoch ist es unerlässlich, dass die Stadt Konstanz die Herausforderungen annimmt und die Chancen ergreift, um zu einer zukunftsfähigen und digitalen Stadt zu werden. Denn der digitale Zwilling bildet einen zentralen Baustein auf dem Weg zu einer Smart City.

The last decades have shown that the volume of tourism, in general, is constantly increasing (with some justified exceptions). To offer a possibility of travel for all groups of people, it is necessary to pay attention to accessibility. One of the possibilities for increasing accessibility is digital technologies, which could assist in planning and the implementation and completion of trips. To make a selection of technologies, first, a study of barriers was conducted, which was then analyzed, and finally, some technologies were made available in a test setup. A focus on two technologies was made: 360°-Tours and mobile app with the travel information. The two technologies were implemented and presented to the test subjects. The evaluation results showed that both technologies could increase accessibility if some essential aspects (such as usability, completeness, relevance, etc.) are considered during the implementation.

Health monitoring in a home environment can have broader use since it may provide continuous control of health parameters with relatively minor intrusiveness into regular life. This work aims to verify if it is possible to replace the typical in some sleep medicine areas subjective questioning by an objective measurement using electronic devices. For this purpose, a study was conducted with ten subjects, in which objective and subjective measurement of relevant sleep parameters took place. The results of both measurement methods were evaluated and analyzed. The results showed that while for some measures, such as Total Time in Bed, there is a high agreement between objective and subjective measurements, for others, such as sleep quality, there are significant differences. For this reason, currently, a combination of both measurement methods may be beneficial and provide the most detailed results, while a partial replacement can already reduce the number of questions at the subjective measurement by measurement through electronic devices.

Homomorphic deconvolution is applied to sEMG signals recorded during walking. Gastrocnemius lateralis and tibialis anterior signals were acquired according to SENIAM recommendation. MUAP parameters like amplitude and scale were estimated, whilst the MUAP shape parameter was fixed. This features a useful time-frequency representation of sEMG signal. Estimation of scale MUAP parameter was verified extracting the mean frequency of filtered EMG signal, extracted from the scale parameter estimated with two different MUAP shape values.

Respiratory diseases are leading causes of death and disability in the world. The recent COVID-19 pandemic is also affecting the respiratory system. Detecting and diagnosing respiratory diseases requires both medical professionals and the clinical environment. Most of the techniques used up to date were also invasive or expensive. Some research groups are developing hardware devices and techniques to make possible a non-invasive or even remote respiratory sound acquisition. These sounds are then processed and analysed for clinical, scientific, or educational purposes. We present the literature review of non-invasive sound acquisition devices and techniques. The results are about a huge number of digital tools, like microphones, wearables, or Internet of Thing devices, that can be used in this scope. Some interesting applications have been found. Some devices make easier the sound acquisition in a clinic environment, but others make possible daily monitoring outside that ambient. We aim to use some of these devices and include the non-invasive recorded respiratory sounds in a Digital Twin system for personalized health.

Dieses Forschungsvorhaben zielt darauf ab, individuelle Entrepreneure hinsichtlich ihrer Veränderungstendenzen zur Nutzung der Entscheidungslogik Effectuation und Causation zu untersuchen – insbesondere während des Gründungsprozesses. Basierend auf einem qualitativen Fallstudiendesign zeigen sowohl fallinterne als auch fallübergreifende Analysen, wie Entrepreneure zunächst an der effektuativen Logik festhalten und im Gründungsverlauf zu hybriden Logikformen übergehen. Der Beitrag zur Weiterentwicklung der Forschung zielt in drei Richtungen: Erstens schließt die Arbeit Lücken in der Effectuation-Forschung, indem sie Entscheidungsfindung von Unternehmensgründern auf individueller Ebene spezifiziert. Zweitens ermöglicht die Fokussierung auf die einzelnen Gründungsphasen ein besseres Verständnis der Veränderungstendenzen einschließlich der Kausalzusammenhänge (wann, wie und warum). Insbesondere werden Erkenntnisse zur Auffälligkeit von Veränderungssprüngen von einer Phase zur anderen geliefert. Drittens kann durch die Beleuchtung der verschiedenen Subdimensionen von Effectuation und Causation ihre zunehmend hybride Verwendung im Zeitverlauf der Gründung das Verständnis für transformative Prozesse entwickeln.

Dieser Ratgeber orientiert sich bei der Vorstellung der rechtlichen Rahmenbedingungen am Ablauf des Gründungsprozesses eines Start-ups: - Anmeldung, - Schutz der Geschäftsidee, - Wahl der Rechtsform und - Marketingaktivitäten.

Specific climate adaptation and resilience measures can be efficiently designed and implemented at regional and local levels. Climate and environmental databases are critical for achieving the sustainable development goals (SDGs) and for efficiently planning and implementing appropriate adaptation measures. Available federated and distributed databases can serve as necessary starting points for municipalities to identify needs, prioritize resources, and allocate investments, taking into account often tight budget constraints. High-quality geospatial, climate, and environmental data are now broadly available and remote sensing data, e.g., Copernicus services, will be critical. There are forward-looking approaches to use these datasets to derive forecasts for optimizing urban planning processes for local governments. On the municipal level, however, the existing data have only been used to a limited extent. There are no adequate tools for urban planning with which remote sensing data can be merged and meaningfully combined with local data and further processed and applied in municipal planning and decision-making. Therefore, our project CoKLIMAx aims at the development of new digital products, advanced urban services, and procedures, such as the development of practical technical tools that capture different remote sensing and in-situ data sets for validation and further processing. CoKLIMAx will be used to develop a scalable toolbox for urban planning to increase climate resilience. Focus areas of the project will be water (e.g., soil sealing, stormwater drainage, retention, and flood protection), urban (micro)climate (e.g., heat islands and air flows), and vegetation (e.g., greening strategy, vegetation monitoring/vitality). To this end, new digital process structures will be embedded in local government to enable better policy decisions for the future.

Das Ziel dieser Arbeit war die Konzeption eines untergeordneten Stadtbusnetzes der Stadt Konstanz. Dabei wurde auf einem bereits entwickelten Entwurf eines übergeordneten Netzes aufgesetzt. Durch die Kombination dieser beiden entstand ein Gesamtbusnetz. Im ersten Schritt wurde eine breit gefächerte Bestandsanalyse durchgeführt, inbegriffen war dabei eine Analyse des übergeordneten Busnetzes. Die gebündelten Ergebnisse gaben den Rahmen für die Konzeption vor. Danach folgte der schrittweise Entwurf der einzelnen Linien des untergeordneten Netzes. Im letzten Schritt der Konzeption wurden die Linien an wichtigen Umsteigeknoten und Parkräumen aufeinander abgestimmt. Aus der genannten Analyse resultierten diverse Anforderungen für die Konzeption eines neuen Busnetzes. Hierbei konnte die Anbindung an die Bahn und das neu entstehende Mobilitätszentrum besonders hervorgehoben werden. Das Ergebnis der Konzeption waren elf Buslinien, die dem untergeordneten Netz zugewiesen werden können. Gemeinsam mit den fünf Linien des übergeordneten Entwurfs bilden sie ein Gesamtstadtbusnetz. Dabei wurden die Streckenverläufe der Linien aufeinander abgestimmt, sodass ein breitgefächertes Netz an Direktverbindungen entstehen konnte. Mithilfe der Abstimmung an Umsteigeknoten konnten sinnvolle Umsteigerelationen geschaffen werden, wodurch die Direktverbindungen zu einer flächendeckenden Anbindung der Stadtteile an relevante Ziele im Stadtgebiet erweitert wurden. Auf theoretischer Ebene wurde hier aufgezeigt, wie ein neues Buskonzept der Stadt Konstanz gestaltet sein kann. Das vorliegende Konzept sollte in einer separaten Arbeit auf eine tatsächliche Umsetzbarkeit geprüft werden.

In Maun, Botswana, a self-sufficient, sustainable and future-oriented district will be created, the Maun Science Park. Within this project, several 5-8 storey smart homes shall be built in sustainable construction. The aim of this thesis is to develop a sustainable structural concept for those homes of the Maun Science Park. In a first step, the general basics for tall building structures and sustainable construction were established. Based on those fundamentals, criteria for the structural requirements, the ecological as well as the social sustainability of a structural design could be defined. Subsequently, four structural systems were drafted: a concrete core structure, a steel shear frame structure, a rammed earth shear wall structure and a wooden diagrid structure. In addition to the pre-dimensioning of the systems, a life cycle assessment was set up to evaluate the ecological sustainability of the designs. With the help of a utility value analysis, the wooden diagrid structure was determined as the preferred variant. The comparison of the designs also allows to draw general conclusions for the development of sustainable tall building structures. The results of the life cycle assessment show the advantage of wood as an ecological building material over industrially manufactured building materials, such as steel and concrete. Whereas rammed earth, a likewise ecological building material, is not convincing due to its low strength. In general, a balance is created in the life cycle assessment between ecological and industrially manufactured products in regard of strength and environmental impact. In terms of social sustainability, the design of the structure system can significantly influence the flexibility and use of local resources. However, due to the diversity of sustainable construction, the development of a structural system should be linked to an overarching sustainability concept that takes architecture and stakeholders into account.

The present work proposes the use of modern ICT technologies such as smartphones, NFCs, internet, and web technologies, to help patients in carrying out their therapies. The implemented system provides a calendar with a reminder of the assumptions, ensures the drug identification through NFC, allows remote assistance from healthcare staff and family members to check and manage the therapy in real-time. The system also provides centralized information on the patient's therapeutic situation, helpful in choosing new compatible therapies.

Forecasting is crucial for both system planning and operations in the energy sector. With increasing penetration of renewable energy sources, increasing fluctuations in the power generation need to be taken into account. Probabilistic load forecasting is a young, but emerging research topic focusing on the prediction of future uncertainties. However, the majority of publications so far focus on techniques like quantile regression, ensemble, or scenario-based methods, which generate discrete quantiles or sets of possible load curves. The conditioned probability distribution remains unknown and can only be estimated when the output is post-processed using a statistical method like kernel density estimation. Instead, the proposed probabilistic deep learning model uses a cascade of transformation functions, known as normalizing flow, to model the conditioned density function from a smart meter dataset containing electricity demand information for over 4,000 buildings in Ireland. Since the whole probability density function is tractable, the parameters of the model can be obtained by minimizing the negative loglikelihood through the state of the art gradient descent. This leads to the model with the best representation of the data distribution. Two different deep learning models have been compared, a simple three-layer fully connected neural network and a more advanced convolutional neural network for sequential data processing inspired by the WaveNet architecture. These models have been used to parametrize three different probabilistic models, a simple normal distribution, a Gaussian mixture model, and the normalizing flow model. The prediction horizon is set to one day with a resolution of 30 minutes, hence the models predict 48 conditioned probability distributions. The normalizing flow model outperforms the two other variants for both architectures and proves its ability to capture the complex structures and dependencies causing the variations in the data. Understanding the stochastic nature of the task in such detail makes the methodology applicable for other use cases apart from forecasting. It is shown how it can be used to detect anomalies in the power grid or generate synthetic scenarios for grid planning.

Diese Bachelorarbeit befasst sich mit einem Kooperationsprojekt in Botswana, welches durch Lehrende und Studierende der Hochschule für Technik Wirtschaft und Gestaltung in Konstanz und einigen Experten aus aller Welt umgesetzt werden soll. Außerdem geht sie der Frage nach, was der Unterschied vom klassischen zum hybriden Projektmanagement, welches hier angewendet wird ist und wie es möglich ist eine Supply-Chain für dieses Projekt zu erstellen.

Botswana is a country in southern Africa with rich mineral resources, which has built its economy on mining. Due to challenges in the upcoming years caused by climate and demographic change, it aims to move away from a resource-based economy to a knowledge-based economy in the long term. In order to support the process, the Maun Science Park, a centre for research and development is planned to be created in Maun, a town on the edge of the Okavango Delta. The project is initiated by the “International Resilience and Sustainability Partnership” (inRES), a non-governmental organization. The project is currently in the initiation phase. The purpose of this thesis is to determine a cost framework with exemplary developer calculation and sensitivity analysis for the Maun Science Park Project in Botswana. Therefor, a source research was performed in a first step. Based on this, interviews were conducted with members of the inRES. Based on the data obtained and further assumptions, a cost framework for the different project phases of the MSP project was established. Subsequently, a developer calculation was exemplarily carried out on the basis of the project phase 2 and a sensitivity analysis was performed. During the interviews, data was collected on the different project phases. It became clear that the interview partners had partly inconsistent perceptions about different project phases. The calculation can be used as a basis for further calculation at the time of concretization of the planning data.

Across the globe, urban areas experience the phenomena of rising road-congestion, air pollution and car accidents. These are just a few popular quantified effects that arise due to rapid, uncoordinated urbanization on a car-centric city layout. There is an urgent need to consider new concepts of urban mobility development to combat these negative effects. Car-free mobility is one notion adopted in diverse formats by numerous cities to create a more inclusive, just, healthy and sustainable urban life. The focus of this thesis is to ex- amine whether a car-free mobility concept is applicable to the Maun Science Park, Bot- swana. Therefore, the idea of car-free mobility, its positive aspects as well as its con- straints, are described first. This illustrates the complexity of urban transport planning as it is intertwined with urban land-use, political vision and people’s perceptions and behav- iors. Secondly, examples and strategies on how to change existing structures are pre- sented. Following this, the smart developments in the field of sustainable urban mobility are considered to provide an insight into their assets and drawbacks. Then the local mo- bility conditions are examined before the car-free concept is exemplarily applied to the Maun Science Park via scenario construction. These scenarios give a first vision of how a car-free concept can be applied to the MSP and additionally provide a starting point for future strategic planning as well as inspiration for other cities to follow along.

Cities around the world are facing an increasing number of global and local challenges, such as climate change and scarcity of raw materials. At the same time trends like digitalization, globalization and networking gain in importance. For this reason, cities have started imple-menting smart solutions within the urban structure in order to evolve towards a Smart City. In Botswana, the Maun Science Park is intended to provide a best practice approach for a Bot-swanan Smart City. Since Smart City concepts have to be specifically tailored to local condi-tions, the first main goal of this thesis is to develop a synthesis concept for the Maun Science Park. A key problem in cities is the utilization of space, which is further intensified by increasing urbanization and population growth. Therefore, the second main goal is to develop approaches of (digitally) re-programmable space to use available areas intelligently and optimized. Within the thesis, human-centered design has been applied as structure-giving methodology. By clarifying relevant Smart City contents, considering reference examples as well as identify-ing local challenges and requirements, an appropriate concept has been developed with hu-man-focus. Furthermore, the methodologies of literature research and expert interviews have been used as input in the individual human-centered design phases. In combination with an innovation funnel, the methodology human-centered design forms the structure of the thesis. In total, ten main solution areas and 37 sub-segments have been identified for the synthesis concept of Maun Science Park. Additionally, a concept for Smart Buildings has been devel-oped as a part of the synthesis concept and as an essential infrastructure component of the Maun Science Park (three main segments, 16 sub-segments). Based on expert input, a priori-tization has been determined by evaluating the impact and economic affordability of the indi-vidual sub-areas. Moreover, individual key areas have been highlighted by identifying direct interactions between sub-segments and on the basis of expert input – these are particularly related to the segments Smart Data and Smart People. Besides the synthesis concept, ap-proaches of (digitally) re-programmable space have been created. Thereby, ten approaches refer to the conversion, reuse or expansion abilities of space within daily, weekly or life cycle. In addition, the conventional (digitally) re-programmable space idea has been extended by two new considerations – “multi-purpose use of built-up space” and “concept programming in the planning phase”. Finally, within an overall consideration – synthesis concept combined with approaches of (digitally) re-programmable space – the added value of the developed contents has been outlined, positive and negative aspects have been identified within a SWOT analysis and the business model of the Maun Science Park approach has been verified in a Business Model Canvas. Through explicit elaboration, classification and prioritization of solution areas, the developed concept can serve as a basis for further project steps. Based on the defined requirements of the sub-segments, solutions can be developed with regard to the entire Smart City context.

This paper examines how varying antidumping methodologies applied within the World Trade Organization differ in the extent to which they reduce targeted exports. We show that antidumping duties, on average, hit Chinese exporters harder than those of other targeted countries. This difference can be traced back in part to China's non-market economy status, which affects the way antidumping duties are calculated. Furthermore, we show that the type of imposed duty matters, as ad-valorem duties affect exports differently compared to specific duties or duties conditional on the export price. Overall, however, antidumping duties remain effective in reducing imports independent of market economy status.

Botswana, a new construction project – the Maun Science Park - is to be built with a focus on sustainability and to create a new living space for the rapidly growing population in Africa. The project will be a blueprint for future projects in Africain terms of progress, technology and sustainability. This thesis will deal with its financial framework and will serve as a basis for the development of ways and means of financing such projects.

Erfahrungsbericht im Rahmen des Freistellungssemesters gemäß LHG §47 Abs. 2, Prof. Dr. Carsten Manz, Wintersemester 2020/21

Traditional Western philosophy, cognitive science and traditional HCI frameworks approach the term digital and its implications with an implicit dualism (nature/cul-ture, theory /practice, body/mind, human/machine). What lies between is a feature of our postmodern times, in which different states, conditions or positions merge and co-exist in a new, hybrid reality, a “continuous beta” (Mühlenbeck & Skibicki, 2007) version of becoming .Post-digitality involves the physical dimensions of spatio-temporal engagements. This new ontological paradigm reconceptualizes digital technology through the ex-perience of the human body and its senses, thus emphasizing form-taking, situation-al engagement and practice rather than symbolic, disembodied rationality. This rais-es two questions in particular: how to encourage curiosity, playfulness, serendipity, emergence, discourse and collectivity? How to construct working methods without foregrounding and dividing the subject into an individual that already takes posi-tion? This paper briefly outlines the rhizomatic framework that I developed within my PhD research. This attempts to overcome two prevailing tendencies: first, the one-sided view of scientific approaches to knowledge acquisition and the pure-ly application-oriented handling of materials, technologies and machines; second, the distanced perception of the world. In contrast, my work involves project-driven alchemic curiosity and doing research through artistic design practice. This means thinking through materials, technologies and machinic interactions. Now, at the end of this PhD journey, 10 interdisciplinary projects have emerged from this ontological queer-paradigm that is post-digital–crafting 4.0. Below I illustrate this approach and its outcomes.

Production and marketing of cereal grains are some of the main activities in developing countries to ensure food security. However, the food gap is complicated further by high postharvest loss of grains during storage. This study aimed to compare low‐cost modified‐atmosphere hermetic storage structures with traditional practice to minimize quantitative and qualitative losses of grains during storage. The study was conducted in two phases: in the first phase, seven hermetic storage structures with or without smoke infusion were compared, and one selected structure was further validated at scaled‐up capacity in the second phase.

Weder für moderne Recycling-Betone gemäß Regelwerk noch für Ziegelsplittbetone der Nachkriegsjahre bestehen prinzipielle Bedenken gegen deren Einsatz oder die Weiternutzung im Hochbau. Die Autoren wünschen sich mehr Akzeptanz und Vertrauen in Recyclingbaustoffe und dass sich für "Vintage" im Baubereich irgendwann ein ähnliches Interesse herausbildet wie für Vintage-Möbel oder Used-Look-Kleidung - und dies nicht nur hinsichtlich der Wiederverwendung gebrauchter Türen und Treppen, sondern auch für mineralische Massenbaustoffe wie Beton. Der Beitrag veranschaulicht anhand erfolgreich realisierter Objektbeispiele, wie Hochhäuser (z.B. das Studentenwohnheim Max-Kade-Haus in Stuttgart, 1953, aus Bauschuttbeton) oder Sakralgebäude (Fatima-Kirche in Kassel aus Sichtbeton mit Ziegelbruch, 60 Jahre alt) sowie auch Verwaltungsbauten (Technisches Rathaus in Tübingen aus den 1950er Jahren) erfolgreich und nachhaltig mit Recyclingmaterialien errichtet wurden.

Die wenigen Literaturangaben zu Sorptionsisothermen von mineralischen Estrichen beziehen sich im Wesentlichen auf Calciumsulfatestriche und genormte Zementestriche, sowie i.d.R. nur auf eine festgesetzte Lufttemperatur (= 20 Grad C). Daher war es das Anliegen der im Beitrag beschriebenen Untersuchung, die Feuchtigkeitseigenschaften von Estrichen bei unterschiedlichen Klimaten mithilfe von Sorptionsisothermen zu charakterisieren. Ergänzend sollten die seit ca. 20 Jahren marktüblichen ternären Schnellzemente mit untersucht und die baupraktisch interessanten Temperaturen von 15 Grad C und 25 Grad C einbezogen werden. Ebenso wurden die Auswirkungen der Klimabedingungen auf der Baustelle (Jahreszeit, Luftfeuchtigkeit, Temperatur) auf den Hydratationsvorgang der Estriche untersucht. In Kombination mit den Ergebnissen der Gefügeuntersuchungen (u.a. Hg-Porosimetrie) wird belegt, weshalb sich die zement- und schnellzementgebundenen Estriche vollkommen anders verhalten als die calciumsulfatgebundenen Estriche. Dieses unterschiedliche Verhalten ist auch einer der Gründe, warum Estriche mit der KRL-Methode in Bezug auf ihren Feuchtegehalt nicht bewertet werden können. Deshalb folgt ein Vergleich der Materialfeuchtemessungen "KRL-Methode" mit der handwerksüblichen und seit Jahrzehnten in der Praxis bewährten "CM-Methode".

Ballistocardiography (BCG) can be used to monitor heart rate activity. Besides, the accelerometer should have high sensitivity and minimal internal noise; a low-cost approach was taken into consideration. Several measurements have been executed to determine the optimal positioning of a sensor under the mattress to obtain a signal strong enough for further analysis. A prototype for an unobtrusive accelerometer-based measurement system has been developed and tested in a conventional bed without any specific extras. The influence of the human sleep position for the output accelerometer data was tested. The obtained results indicate the potential to capture BCG signals using accelerometers. The measurement system can detect heart rate in an unobtrusive form in the home environment.

Forschungsfrage: Welche Rollen lassen sich in Corporate Entrepreneurship identifizieren? Wie unterscheiden sich diese anhand verschiedener Merkmale und welche Fähigkeiten scheinen besonders relevant für ihre erfolgreiche Ausführung? Methodik: Explorative Studie mit 56 semi-strukturierten Interviews mit Corporate-Entrepreneurship-Aktivitäten im DACH-Raum Praktische Implikationen: Ein genaues Verständnis über die jeweiligen Rollen, ihre Unterschiedlichkeiten und Anforderungen ist notwendig, um die verschiedenen Corporate-Entrepreneurship-Aktivitäten mit passendem Personal zu besetzen.

Die BRUGG Lifting AG konnte dank dem Forschungsfonds Aargau gemeinsam mit dem Institut für Werkstoffsystemtechnik einen Sensor entwickeln, der Wartungsarbeiten an Seilen und Schutznetzen besser planbar macht.

In beispielhafter Zusammenarbeit zwischen Industrie (Geobrugg AG, Romanshorn/Schweiz) und Wissenschaft (WITg Institut für Werkstoffsystemtechnik Thurgau an der Hochschule Konstanz, Tägerwilen/Schweiz) wurde mit Unterstützung der Schweizer staatlichen Innovationsförderung (KTI, hee Innosuisse) ein neues Werkstoff- und Fertigungskonzept für den Bau von Fischzuchtnetzen aus hochfesten nichtrostenden Stahldrähten entwickelt. Diese Entwicklung wurde 2019 von Swiss Inox, der Schweizer Innovationspreis Prix Inox ausgezeichnet.

Die Geobrugg AG hat zusammen mit dem Institut für Werkstoffsystemtechnik Thurgau (WITg) ein digitales Monitoringsystem entwickelt, das zum einen die Korrosion der Bauwerke überwacht, zum anderen auch die mechanische Einwirkung auf die Verbauung registriert.

Uncertainty about the future requires companies to create discontinuous innovations. Established companies, however, struggle to do so; whereas independent startups seem to better cope with this. Consequently, established companies set up entrepreneurial initiatives to make use of startups' benefits. Consequently, this led-amongst others-to great interest in socalled corporate entrepreneurship (CE) programs and to the development and characterization of several different forms. Their processes to achieve certain objectives, yet, are still rather ineffective. Thus, considerations of the actions performed in preparation for and during CE programs could be one approach to improve this but are still absent today. Furthermore, the increasing use of several CE programs in parallel seems to bear the potential for synergies and, thus, more efficient use of resources. Aiming to provide insights to both issues, this study analyzes actions of CE programs, by looking at interviews with managers of seven corporate incubators and accelerator programs of five established German tech-companies.

We have analyzed a pool of 37,839 articles published in 4,404 business-related journals in the entrepreneurship research field using a novel literature review approach that is based on machine learning and text data mining. Most papers have been published in the journals ‘Small Business Economics’, ‘International Journal of Entrepreneurship and Small Business’, and ‘Sustainability’ (Switzerland), while the sum of citations is highest in the ‘Journal of Business Venturing’, ‘Entrepreneurship Theory and Practice’, and ‘Small Business Economics’. We derived 29 overarching themes based on 52 identified clusters. The social entrepreneurship, development, innovation, capital, and economy clusters represent the largest ones among those with high thematic clarity. The most discussed clusters measured by the average number of citations per assigned paper are research, orientation, capital, gender, and growth. Clusters with the highest average growth in publications per year are social entrepreneurship, innovation, development, entrepreneurship education, and (business-) models. Measured by the average yearly citation rate per paper, the thematic cluster ‘research’, mostly containing literature studies, received most attention. The MLR allows for an inclusion of a significantly higher number of publications compared to traditional reviews thus providing a comprehensive, descriptive overview of the whole research field.

1863 dichtet der Volksautor Wilhelm Busch die Geschichte von Max und Moritz, zweier Lausbuben, die gegen Regeln und Sitten der Dorfgemeinschaft verstoßen und das Zusammenleben empfindlich stören. Busch zeigt in seiner Dichtung schon in der Einleitung den Kern des Problems auf. „Ach, was muß man oft von bösen Kindern hören oder lesen! Wie zum Beispiel hier von diesen, Welche Max und Moritz hießen; Die, anstatt durch weise Lehren Sich zum Guten zu bekehren, Oftmals noch darüber lachten Und sich heimlich lustig machten. Ja, zur Übeltätigkeit, Ja, dazu ist man bereit!“ Max und Moritz weigern sich, die Schule zu besuchen und sich regelkonform und anständig zu verhalten. Ihre Uneinsichtigkeit und ihre Rücksichtslosigkeit enden für die beiden tödlich, und erst mit diesem Ende kehrt wieder Ruhe im Dorf ein. Der Zusammenhang zwischen der bekannten Kindergeschichte „Max und Moritz“ von Wilhelm Busch und aktuellen Wirtschafts- und Unternehmensskandalen scheint vielleicht auf den ersten Blick etwas weit hergeholt. Als „modernes Märchen“ sprechen diese Geschichte und ihre Moral aber letztlich genau von dem, was Unternehmen heute weltweit zu schaffen macht. Ohne die bekannten Lausbubenstreiche mit Spielarten moderner Wirtschaftskriminalität gleichsetzen zu wollen, lässt sich aus den sieben Streichen für unser Thema folgendes ableiten: – Regelwidriges Verhalten kann überall auftauchen – Unter dem Fehlverhalten einzelner haben alle zu leiden – Das Funktionieren des übergeordneten Systems wird nachhaltig gestört – Und: klassische „Erziehungsversuche“ erweisen sich häufig als wirkungslos

Vor 40 Jahren erschien Frederic Vesters Hauptwerk „Neuland des Denkens“. Der Beitrag beleuchtet die wesentlichen Themen dieses programmatischen Buches im Hinblick auf Vesters Biokybernetik und deren Anwendung auf zahlreiche aktuelle Fragen in der Nachhaltigkeits-Debatte, z.B. Klimawandel-Problematik und Energiewende.

This paper proposes a novel transmission scheme for generalized multistream spatial modulation. This new approach uses one Mannheim error correcting codes over Gaussian or Eisenstein integers as multidimensional signal constellations. These codes enable a suboptimal decoding strategy with near maximum likelihood performance for transmission over the additive white Gaussian noise channel. In this contribution, this decoding algorithm is generalized to the detection for generalized multistream spatial modulation. The proposed method can outperform conventional generalized multistream spatial modulation with respect to decoding performance, detection complexity, and spectral efficiency.

The reliability of flash memories suffers from various error causes. Program/erase cycles, read disturb, and cell to cell interference impact the threshold voltages and cause bit errors during the read process. Hence, error correction is required to ensure reliable data storage. In this work, we investigate the bit-labeling of triple level cell (TLC) memories. This labeling determines the page capacities and the latency of the read process. The page capacity defines the redundancy that is required for error correction coding. Typically, Gray codes are used to encode the cell state such that the codes of adjacent states differ in a single digit. These Gray codes minimize the latency for random access reads but cannot balance the page capacities. Based on measured voltage distributions, we investigate the page capacities and propose a labeling that provides a better rate balancing than Gray labeling.

In this article, we give the construction of new four-dimensional signal constellations in the Euclidean space, which represent a certain combination of binary frequency-shift keying (BFSK) and M-ary amplitude-phase-shift keying (MAPSK). Description of such signals and the formulas for calculating the minimum squared Euclidean distance are presented. We have developed an analytic building method for even and odd values of M. Hence, no computer search and no heuristic methods are required. The new optimized BFSK-MAPSK (M = 5,6,···,16) signal constructions are built for the values of modulation indexes h =0.1,0.15,···,0.5 and their parameters are given. The results of computer simulations are also provided. Based on the obtained results we can conclude, that BFSK-MAPSK systems outperform similar four-dimensional systems both in terms of minimum squared Euclidean distance and simulated symbol error rate.

Deep neural networks (DNNs) are known for their high prediction performance, especially in perceptual tasks such as object recognition or autonomous driving. Still, DNNs are prone to yield unreliable predictions when encountering completely new situations without indicating their uncertainty. Bayesian variants of DNNs (BDNNs), such as MC dropout BDNNs, do provide uncertainty measures. However, BDNNs are slow during test time because they rely on a sampling approach. Here we present a single shot MC dropout approximation that preserves the advantages of BDNNs without being slower than a DNN. Our approach is to analytically approximate for each layer in a fully connected network the expected value and the variance of the MC dropout signal. We evaluate our approach on different benchmark datasets and a simulated toy example. We demonstrate that our single shot MC dropout approximation resembles the point estimate and the uncertainty estimate of the predictive distribution that is achieved with an MC approach, while being fast enough for real-time deployments of BDNNs.

At present, the majority of the proposed Deep Learning (DL) methods provide point predictions without quantifying the model's uncertainty. However, a quantification of the reliability of automated image analysis is essential, in particular in medicine when physicians rely on the results for making critical treatment decisions. In this work, we provide an entire framework to diagnose ischemic stroke patients incorporating Bayesian uncertainty into the analysis procedure. We present a Bayesian Convolutional Neural Network (CNN) yielding a probability for a stroke lesion on 2D Magnetic Resonance (MR) images with corresponding uncertainty information about the reliability of the prediction. For patient-level diagnoses, different aggregation methods are proposed and evaluated, which combine the individual image-level predictions. Those methods take advantage of the uncertainty in the image predictions and report model uncertainty at the patient-level. In a cohort of 511 patients, our Bayesian CNN achieved an accuracy of 95.33% at the image-level representing a significant improvement of 2% over a non-Bayesian counterpart. The best patient aggregation method yielded 95.89% of accuracy. Integrating uncertainty information about image predictions in aggregation models resulted in higher uncertainty measures to false patient classifications, which enabled to filter critical patient diagnoses that are supposed to be closer examined by a medical doctor. We therefore recommend using Bayesian approaches not only for improved image-level prediction and uncertainty estimation but also for the detection of uncertain aggregations at the patient-level.