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In diesem Beitrag stellen wir Inhalte und Methoden des Kurses »How to communicate successfully in international teams« vor. Wir zeigen auf, wie einzelne Kurselemente mittels unseres methodisch-didaktischen Ansatzes get_connected vermittelt werden. Die Darstellung basiert auf der Dokumentation eines im Sommersemester 2021 in Kooperation zwischen der HTWG Konstanz und dem Beijing Institute of Technology (online) durchgeführten Kurses. Die im Rahmen der Lehrveranstaltung dokumentierten Reflexionen, Einsichten und Evaluationen der Kursteilnehmenden weisen auf einen Kompetenzaufbau im Hinblick auf die Fähigkeit zu Perspektivenwechsel, Selbstreflexion, Frustrationstoleranz, Flexibilität und empathische Kommunikation hin.
Der Artikel stellt den methodisch-didaktischen Ansatz get_connected zur Förderung der Zusammenarbeit in kulturell gemischten Teams vor. Mit diesem Ansatz reagiert die HTWG Konstanz auf die langjährige Erfahrung, dass sich trotz grundsätzlich optimaler struktureller Bedingungen für interkulturelles Lernen – mit regelmäßiger Teilnahme chinesischer Studierender im
Fachstudium an der deutschen Hochschule – beiderseitige Vorurteile über »die anderen« nicht automatisch auflösen, sondern sich sogar verstärken können. In der konkreten Zusammenarbeit zeigt sich, dass das eigene Handeln oftmals hinter dem für sich selbst formulierten Anspruch an kulturell adäquates Verhalten zurückbleibt. Mit Methoden des erfahrungsbasierten interkulturellen Lernens
und insbesondere durch die von den Lehrenden als Coachinnen bzw. Coaches begleitete Arbeit mit Emotionen in kulturell gemischten (deutsch-chinesischen) Gruppen werden die Studierenden darin unterstützt, als Vorbereitung auf eine zukünftige Tätigkeit in international vernetzten Teams ihr
Kommunikationsverhalten zu reflektieren, den Perspektivenwechsel sowie neue emotionale bzw. kommunikative Strategien einzuüben und damit ihre interkulturelle Handlungskompetenz – auch im deutsch-chinesischen Dialog – zu verbessern. Der Beitrag stellt den im Rahmen von designbased research über mehrere Semester hinweg (weiter-)entwickelten Ansatz get_connected und
seine Umsetzung in einem Kursformat zum Erwerb interkultureller (China-)Kompetenz für Studierende aller Fachrichtungen vor. Die konkreten Erfahrungen bei der (Online-)Durchführung des Kurskonzepts im Sommersemester 2021 an der HTWG Konstanz unter Einbeziehung chinesischer (und internationaler) Studierender der Partnerhochschule Beijing Institute of Technology werden
im Folgekapitel (Beitrag von Thelen, Bai und Obendiek) dargestellt.
Intercultural management
(2016)
A case-based examination of issues in international management that helps students explore theory in the context of real-life practical situations. A focus on skills-development prepares students for future careers in international management. Cases are from a range of countries including central and Eastern Europe as well as the Asian economies.
Intelligente Aktorik
(2017)
Thermal shape memory alloys show extraordinary material properties and can be used as actuators, dampers and sensors. Since their discovery in the middle of the last century they have been investigated and further developed. The majority of the industrial applications with the highest material sales can still be found in the medical industry, where they are used due to their superelastic and thermal shape memory effect, e.g. as stents or as guidewires and tools in the minimal invasive surgery. Particularly in recent years, more and more applications have been developed for other industrial fields, e.g. for the household goods, civil engineering and automotive sector. In this context it is worth mentioning that for the latter sector, million seller series applications have found their way into some European automobile manufacturers. The German VDI guideline for shape memory alloys introduced in 2017 will give the material a further boost in application. Last but not least the new production technologies of additive manufacturing with metal laser sintering plants open up additional applications for these multifunctional materials. This paper gives an overview of the extraordinary material properties of shape memory components, shows examples of different applications and discusses European trends against the background of the most recent standard and new production technologies.
A novel implant system for bone elongation will be presented. With this technique, the body's own bone material, so-called callus, can be formed by gradual distraction of the tubular bones, thus achieving an extension of femur and tibia bones. The driving principle of this fully implantable bone lengthening system is based on a shape memory element. During the surgical treatment, the intramedullary nail serves to stabilize the severed bone and enables the formation of new, endogenous bone material to lengthen the limbs or to bridge bone defects. The intramedullary nail is implanted into the medullary cavity and fixed at both ends with locking bolts. A receiver coil implanted under the skin receives the necessary energy twice a day through high-frequency energy transport to activate the thermal phase transformation of the shape memory element. This gradually increases the bone gap by 0.5 mm each time and stimulates callus formation. Consequently, osteoblasts or osteocytes are formed in the area of the desired bone extension and load-bearing bone material is formed. Three nail prototypes have already been tested for their functionality in a cadaver study in a German clinic. Currently a redesign of this intelligent implant system is underway, focusing on a novel coil geometry, a monitoring sensor system and control technology and a novel connection technology for the drive components. With this intelligent implant system, it will be possible for the first time to lengthen the bones in a patient-friendly manner and to continuously monitor, document and evaluate the entire lengthening process.
Integritätsmanagement
(2016)
Seit einigen Jahren befinden sich das ökonomische System, dessen Märkte und Organisationen in einem äußerst dynamischen Veränderungsprozess. Globalisierung ist das Stichwort, das im Allgemeinen als Treiber dieser Entwicklung identifiziert wird und dem dieser Umbruch zugeschrieben wird. Bei einer genaueren Inspektion des Globalisierungsphänomens finden sich zwei Aspekte, die unternehmensethische und wirtschaftsethische Problemstellungen auf die Agenda der Unternehmen gesetzt haben und die für das hier verhandelte Thema von außerordentlicher Bedeutung sind. 1. Zum einen vollzieht sich in der Gesellschaft ein Wandel hinsichtlich der Erwartungshaltung an verantwortungsvolles und moralisch integres Handeln von Unternehmen. Corporate Social Responsibiliy oder Corporate Citizenship sind hier die Begriffe, die das Feld markieren. 2. Zum anderen entwickelten sich vor der Folie der Globalisierung eine Reihe neuer Governancestrukturen zur Abwicklung ökonomischer Transaktionen: ökonomische Netzwerke, die sich organisationsintern wie -extern entwickeln können, die Umstellung innerhalb einer Organisation von Hierarchie auf Markt, die Neugestaltung bislang rein marktlich abgewickelter Transaktionen auf eine hybride Form der Transaktion wie eine Supply Chain-Beziehungen, virtuelle Teambildungen, strategische Allianzen, die Ausgliederung von Teilen der organisationalen Wertschöpfungskette auf sogenannte Wertschöpfungspartner und somit die Reduktion der Fertigungstiefe, Cross-Border-Akquisitionen, um Wachstumspotentiale im Ausland nutzen zu können oder Global-Sourcing, um an lokales Know-how, Humankapital, Technologie und Produkte zu gelangen. Die grob skizzierten ökonomischen Dimensionen und Konsequenzen der Globalisierung kristallisieren in der These, dass Kooperation in verschiedenen Kooperationssphären das entscheidende und prägende Element des zukünftigen ökonomischen Systems sein wird. Ökonomisch formuliert: Kooperationsbereitschaft und Kooperationsfähigkeit von kollektiven Akteuren entlang der gesamten Wertschöpfungskette und gegenüber den relevanten Stakeholdern werden die zu ökonomisierenden Ressourcen sein, von deren Aktivierung der Erfolg gesamter Volkswirtschaften und einzelner Unternehmen abhängig ist. Unterstellt, diese Analyse und das daraus abgeleitete Argument ist zutreffend, dann wird sehr schnell deutlich, dass sich hieraus enorme Konsequenzen für die Beziehung von Unternehmen zu seinen Lieferanten ergeben. Für Unternehmen gilt es demnach, sich in einer entwickelnden Kooperationsökonomie stärker als in vergangenen Perioden systematisch mit der Moralität ihrer Lieferanten auseinander zu setzen und nicht nur auf die eigene moralische Identität und die Qualität des eigenen moralischen Handelns zu fokussieren. Diese neue Herausforderung muss mittels hierfür geeigneter Governancestrukturen bearbeitet werden. Denn es ist unschwer zu erkennen, dass eine erhebliche Differenz besteht zwischen einer Kooperationsbeziehung zu einem Lieferanten, der neben den im klassischen Kanon des Lieferantenmanagements üblicherweise zu prüfenden Kriterien wie die Qualität der Produkte, der Liefertreue oder der logistischen Kompetenz zudem einen hohen Arbeitsethos und einen ausgebildeten Sinn für Vertragstreue und Integrität besitzt und einem Lieferanten, der mit einer Präferenz für opportunistische Vertragsausbeutung, Korruption, Bestechung und Bestechlichkeit ausgestattet ist. Ein Verhalten, das zu einem Verlust von Reputation oder materiellen Werten führen kann. Ein Vorschlag für die Instrumentierung und Prozessierung einer solchen Lieferantenbewertung wird in diesem Aufsatz unterbreitet.
Integrität in Unternehmen
(2018)
Unternehmen stehen in der Verantwortung, eine Vielzahl an Werten in ihrem Geschäft zu beachten, allen voran den der Integrität. Das Buch beantwortet die Frage, was Integrität für Unternehmen bedeutet und wie integres Unternehmenshandeln erreicht werden kann. Die Autorin entwickelt einen theoretisch fundierten und praktisch anwendbaren Ansatz der Unternehmensintegrität und gibt Orientierung, wie dieser durch vielfältige Maßnahmen im Rahmen von Integrity Management umgesetzt werden kann. Dabei werden klassische Compliance-Ansätze um eine werteorientierte Perspektive ergänzt, damit Unternehmen ihre je eigene Verantwortung wahrnehmen können.
Der Begriff "Integrität" nimmt das Verhältnis zwischen individuellem Handeln und der Einhaltung von Regeln und Werten in den Blick. Grüninger/Wanzek betonen, dass integres Handeln nicht blinde Regelbefolgung, sondern die Erfüllung der zugrundeliegenden Werte erfordert. Von Integrität wird gesprochen, wenn die ethischen Werte im individuellen Denken und Tun sowie auf persönlicher und organisationaler Ebene übereinstimmen.
Wie gehen mittelständische Unternehmen mit internationaler Geschäftstätigkeit mit Compliance-Risiken um? Wie gelingt das Risikomanagement spezifischer Herausforderungen der Regelkonformität in Wachstumsländern, die aus Compliance-Gesichtspunkten als Hochrisikoländer eingestuft werden? Und was beschäftigt dabei Compliance-Officer im Mittelstand? Diesen Fragen widmete sich ein anwendungsorientiertes Forschungsprojekt am Konstanz Institut für Corporate Governance.
Integrity Management
(2021)
Established compliance management systems are not sufficient to guarantee that employees act in a law-abiding and ethical manner. In fact, modern compliance management systems rather require complementary initiatives such as an integrity management which expands the focus which is often only limited to legal content, by considering business decisions also from a moral, social, societal, and ecological perspective. The goal of integrity management is not simply having employees strictly following the rules, but instead promoting moral conduct. Therefore, integrity management particularly pays attention to the ethical behavior of the individual employee, as well as the company and management culture. The company culture can be understood as the sum of the organization’s collective values, convictions, attitudes, and mindsets. The authors point out possibilities and limitation on how companies can influence their culture by setting up targets, incentive and sanctions schemes, in addition to the already-existing control measures.
Die durch kleine und mittelständische Unternehmen geprägte Investitionsgüterindustrie steht aufgrund der zunehmenden Internationalisierung im Servicegeschäft vor großen Herausforderungen. Mitarbeiterengpässe, hohe Prozesskosten und unzureichendes Wissensmanagement machen den Service zur potenziellen betriebs- und volkswirtschaftlichen Wachstumsbremse. Durch die Digitalisierung entstehen aber auch große Nutzenpotenziale im Servicegeschäft. Ziel des im Projekt SerWiss entwickelten integrierten Ansatzes ist es, kleine und mittelständische Anbieter von Investitionsgütern zu befähigen, Servicewissen auf der Basis eines digitalen Lösungsansatzes unter Gewährleistung einer humanen Arbeitsgestaltung effizient zu generieren, zu strukturieren und international bereitzustellen bzw. zu vermarkten.
Webservices können ein fester Bestandteil von Integrationsbemühungen werden, um nicht nur innerhalb des Unternehmens Altlasten aufzuräumen, sondern mittlerweile auch zwischen den Partnern, Kunden und Lieferanten zu koordinieren. Sie können mit ihrer Schlichtheit und Implementierungseleganz bisherige Integrationstools wie CORBA, DCOM u.a. alt aussehen lassen. Ihre textbasierten Bestandteile SOAP, WSDL und UDDI arbeiten mit XML und HTTP, die das enorme Potenzial des Internet erst jetzt richtig zur Geltung bringen.
Organizations deploy a plethora of information technology (IT) systems. Various types of enterprise systems (ES) may coexist with the shadow IT systems (SITS) implemented by individual business units without the involvement of the IT department. The associated redundancy of SITS and ES suggests their integration. After integration, however, organization may find it challenging to retain the flexibility and innovation that the development of SITS offers the business. In this study, we conduct a literature review on IT systems integration. This review and the specific characteristics of SITS then serve to define SITS integration, derive guidelines for the integration decision, the phases preceding and following integration, and the integration process itself. SITS and ES integration can profit from existing knowledge of integration benefits, costs, and of the available technologies. Our study offers IT decision makers an insight into the specifics of SITS integration, and provides a basis for future SITS research.
Die Integration eines Systems für den Support von Softwareprodukten in ein bestehendes Unternehmensumfeld ist der Schwerpunkt dieser Arbeit. Im ersten Teil dieser Arbeit wird anhand eines theoretischen Prozessmodells das Vorgehen zur stufenweisen Realisierung eines Softwareprojektes beschrieben. Des Weiteren werden den Support unterstützende Managementprozesse und Werkzeuge vorgestellt und ein theoretischer Ansatz für deren Umsetzung im Unternehmen erarbeitet. Der zweite Teil dieser Arbeit beschreibt die einzelnen Prozessphasen der Projektrealisierung. Im Anschluss daran wird das fertige System mit seinen Hauptinhalten erläutert.
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.
Insecurity Refactoring is a change to the internal structure of software to inject a vulnerability without changing the observable behavior in a normal use case scenario. An implementation of Insecurity Refactoring is formally explained to inject vulnerabilities in source code projects by using static code analysis. It creates learning examples with source code patterns from known vulnerabilities.
Insecurity Refactoring is achieved by creating an Adversary Controlled Input Dataflow tree based on a Code Property Graph. The tree is used to find possible injection paths. Transformation of the possible injection paths allows to inject vulnerabilities. Insertion of data flow patterns introduces different code patterns from related Common Vulnerabilities and Exposures (CVE) reports. The approach is evaluated on 307 open source projects. Additionally, insecurity-refactored projects are deployed in virtual machines to be used as learning examples. Different static code analysis tools, dynamic tools and manual inspections are used with modified projects to confirm the presence of vulnerabilities.
The results show that in 8.1% of the open source projects it is possible to inject vulnerabilities. Different inspected code patterns from CVE reports can be inserted using corresponding data flow patterns. Furthermore the results reveal that the injected vulnerabilities are useful for a small sample size of attendees (n=16). Insecurity Refactoring is useful to automatically generate learning examples to improve software security training. It uses real projects as base whereas the injected vulnerabilities stem from real CVE reports. This makes the injected vulnerabilities unique and realistic.
We present an innovative decision support system (DSS) for distribution system operators (DSO) based on an artificial neural network (ANN). A trained ANN has the ability to recognize problem patterns and to propose solutions that can be implemented directly in real time grid management. The principle functionality of this ANN based optimizer has been demonstrated by means of a simple virtual electrical grid. For this grid, the trained ANN predicted the solution minimizing the total line power dissipation in 98 percent of the cases considered. In 99 percent of the cases, a valid solution in compliance with the specified operating conditions was found. First ANN tests on a more realistic grid, calibrated with household load measurements, revealed a prediction rate between 88 and 90 percent depending on the optimization criteria. This approach promises a faster, more cost-efficient and potentially secure method to support distribution system operators in grid management.
Dieser Beitrag untersucht, ob externe Interventionen, in Form von Forschung und/oder Wissenschaftskommunikation, als Mediator für Innovationen in Krisenzeiten in der Tourismusbranche fungieren können. Dabei wird anhand dreier Case Studies diskutiert, inwiefern die Corona-Krise ein Window-
of-opportunity für innovative Geschäftsmodelle im Tourismus darstellen konnte. Die Projektergebnisse geben Hinweise darauf, dass Krisen im Allgemeinen und Wissenschaftskommunikation im Speziellen als Push-Faktoren Innovationen befördern können. Zwar kam es bei den Projektpartnern zu einer Entwicklung von Innovationen im Projektzeitraum, jedoch wurde die Implementierung vermehrt in eine unbestimmte Zukunft verschoben. Durch die damit verbundene Rückkehr zum Status-Quo blieben die angestoßenen Innovationen zu einem Großteil auf einer konzeptionellen Ebene. Dies deutet auf eine Attitude-behavior-gap in Bezug auf die Schaffung und Umsetzung von Innovationen in Krisenzeiten.
Innovation Labs
(2021)
Today's increasing pace of change and intense competition places demands on organizations to use a different approach to innovation, going beyond the incremental innovation that is typically developed within the core of the organization. As an option to escape the existing beliefs of the core organization, innovation labs are used to develop more discontinuous innovation. Despite the abundance of these so-called innovation labs in practice, researchers have devoted little effort to scrutinizing the concept and to provide managers with a framework for exploiting this form of innovation. In this paper, we aim to perform an empirical investigation and to create a consensus around the concept of innovation labs. To do so, we conducted a multiple case study in large international organizations with a total of 31 interviews of an average length of 70 minutes. We offer a framework by identifying four innovation lab types and consider when each is most appropriate. Furthermore, we highlight the importance for managers and their organizations to align the strategic intent with the innovation lab type as well as the interface between the innovation lab and the core business.
The development of a new product can be accelerated by using an approach called crowdsourcing. The engineers compete and try their best to provide the related solution based on the given product requirement submitted in the online crowdsourcing platform. The one who has submitted the best solution get a financial reward. This approach is proven to be three time faster than the conventional one. However, the crowdsourcing process is usually not transparent to a new user. The risk for the execution of a new project for developing a new product is not easy to be calculated [1, 2]. We developed a method InnoCrowd to handle this problem and the new user could use during the planning of a new product development project. This system uses AI concepts to generate a knowledgebase representing histories of successful product development projects. The system uses the knowledge to determine qualitative and quantitative risks of a new project. This paper describes the new method, the InnoCrowd design, and results of a validation experiment based on data from a current crowdsourcing platform. Finally, we compare InnoCrowd to related methods and systems in terms of design and benefits.
InnoCrowd, a Product Classification System for Design Decision in a Crowdsourced Product Innovation
(2021)
System engineering focuses on how to design and manage complex systems. Meanwhile, in the era of Industry 4.0 and Internet of Things (IoT), systems are getting more complex. Contributors to higher complexity include the usage of modern components (e.g. mechatronics), new manufacturing technologies (e.g. 3D Print) and new engineering product development processes, e.g. open innovation. Open innovation is enabled by IoT, where people and devices are easily connected, and it supports development of more innovative products through ideas gained from predecessors and collaborators world wide. Some researchers suggest this approach is up to three times faster and five times cheaper than conventional approaches [Gassmann, 2012], [Howe, 2008], [Kusumah, 2018]. Because open innovation is relatively new, many managers do not know how to employ it effectively in some phases of product development [Schenk, 2009], [Afuah, 2017], including requirements definition, design and engineering processes (task assignment) through quality assurance. Also, they have trouble estimating and controlling development time and cost [Nevo, 2020], [Thanh, 2015]. As a consequence, the acceptance of this new approach in the industry is limited. Research activities addressing this new approach mainly address high-level and qualitive issues. Few effective methods are available to estimate project risk and to decide whether to initiate a project.
We propose InnoCrowd, a decision support system that uses an improved method to support these tasks and make decisions about crowdsourced engineering product development.
InnoCrowd uses natural language processing and machine learning to build a knowledgebase of crowdsourced product developments. InnoCrowd presents a manager with results of similar projects to show which practices led to good results. A manager of a new project can use this guidance to employ best practices for product requirements definition, project schedule, and other aspects, thereby reducing risk and increasing chances for success.
inno4regio
(2021)
Unternehmen stehen häufig unter einem Innovationsdruck, um ihre langfristige Wettbewerbsfähigkeit zu sichern. Vor allem kleine und mittelständische Unternehmen sind hier besonders gefordert, da ihnen vielfach die erforderlichen Ressourcen oder Kompetenzträger fehlen und das tägliche operative Geschäft häufig eine intensive Auseinandersetzung mit dem Thema nicht zulässt.
Diese Unternehmen sind auf externe Ressourcen angewiesen. Hinzu kommt die Unsicherheit vieler Unternehmer hinsichtlich Kooperationsmöglichkeiten mit öffentlichen Forschungseinrichtungen sowie organisatorische Bedenken mit dem damit verbundenen Koordinationsaufwand.
Das Innovationsportal inno4regio kann genau hier Abhilfe schaffen. Mittels standardisierter Prozesse soll den Unternehmern eine Möglichkeit geboten werden, externe Innovationsvorhaben durch eine Problemanalyse anzustoßen und die notwendigen Partner aus der Hochschulwelt einzubinden. Der Zugriff über einen Knotenpunkt auf das fachliche sowie kreative Personal von rund dreißig Hochschulen im Verbund der Internationalen Bodensee-Hochschule ist dabei ein Alleinstellungsmerkmal, welches in dieser Form bisher noch nicht am Markt existiert.
Durch neuartige Arten der Fortbewegung, eine weitreichende Vernetzung und die Notwendigkeit einer nachhaltigen Mobilität steht die Mobilitätsplanung vor neuen Herausforderungen. Die bisherige Ausrichtung auf die Optimierung von Kapazität und Geschwindigkeit des Verkehrsflusses ist mit der modernen Stadtplanung nicht mehr vereinbar.
Ziel dieser Masterarbeit ist es, ein Konzept für eine zukunftsorientierte Mobilitätsplanung mit der Eingliederung in eine klimaresiliente Stadtplanung zu schaffen. Dafür wird der Einsatz von Fernerkundungsdaten als Datengrundlage für Planung und Monitoring und die Verwendung weicher Maßnahmen untersucht. Sie erfordern keinen direkten Eingriff in die Infrastruktur, sondern bauen auf der bereits bestehenden auf und zielen auf eine Veränderung des Mobilitätsverhalten der Reisenden ab.
Auf Basis einer Literaturrecherche wurde ein Konzept erstellt, das die identifizierten Problemstellen der heutigen Mobilitätsplanung aufgreift. Zur Validierung der technischen Machbarkeit und die Praxistauglichkeit, wurden Experteninterviews durchgeführt. Mit den daraus gewonnenen Erkenntnissen wurde der neue Ansatz darauffolgend erweitert und angepasst.
Die Auswertung zeigt, dass die Herausforderungen durch das entwickelte Konzept aufgegriffen werden und die Mobilitätsplanung von der Verwendung von Fernerkundungsdaten profitieren kann. Um eine optimale Datenverwertung zu gewährleisten, ist eine Bilderkennungssoftware erforderlich. Allerdings erfordert die angestrebte Verhaltensänderung bei den Reisenden zudem ein unterstützendes zielgruppenorientiertes Marketing. Für eine weitere Verbesserung des Monitorings ist die Bildung von KPIs bereits in der Planungsphase und eine Monitoring-Plattform hilfreich.
Zur Einbindung des Konzepts in der Praxis ist die Entwicklung einer auf die Fernerkundungsdaten angepasste Bilderkennungssoftware notwendig. Danach kann das entwickelte Konzept in Pilotprojekten angewendet werden. Dadurch können auch die prozessualen Änderungen, die durch den Ansatz erfolgen, erprobt werden.
Healthy sleep is required for sufficient restoration of the human body and brain. Therefore, in the case of sleep disorders, appropriate therapy should be applied timely, which requires a prompt diagnosis. Traditionally, a sleep diary is a part of diagnosis and therapy monitoring for some sleep disorders, such as cognitive behaviour therapy for insomnia. To automatise sleep monitoring and make it more comfortable for users, substituting a sleep diary with a smartwatch measurement could be considered. With the aim of providing accurate results, a study with a total of 30 night recordings was conducted. Objective sleep measurement with a Samsung Galaxy Watch 4 was compared with a subjective approach (sleep diary), evaluating the four relevant sleep characteristics: time of getting asleep, wake up time, sleep efficiency (SE), and total sleep time (TST). The performed analysis has demonstrated that the median difference between both measurement approaches was equal to 7 and 3 minutes for a time of getting asleep and wake up time correspondingly, which allows substituting a subjective measurement with a smartwatch. The SE was determined with a median difference between the two measurement methods of 5.22%. This result also implicates a possibility of substitution. Some single recordings have indicated a higher variance between the two approaches. Therefore, the conclusion can be made that a substitution provides reliable results primarily in the case of long-term monitoring. The results of the evaluation of the TST measurement do not allow to recommend substitution of the measurement method.
Online-Reisebewertungsplattformen sind der Treffpunkt für Touristen, um ihre Erlebnisse zu teilen und einander zu beeinflussen. Die Untersuchung des Besuchererlebnisses beim Besuch eines Museums kann sich positiv auf die Museumsentwicklung auswirken. In dieser Arbeit wurde eine qualitative Inhaltsanalyse verwendet, um die positiven und negativen Aspekte von Museumsbesuchen im indonesischen Nationalmuseum zu untersuchen. Durch die Datenanalyse von 420 TripAdvisor-Bewertungen des Nationalmuseums wurden die Aspekte ermittelt, die zur Zufriedenheit oder Unzufriedenheit der Besucher beitragen. Dadurch werden Museumsfachleute in die Lage versetzt, Museumsbesuche weiterzuentwickeln und zu verbessern.
Das Ergebnis dieser Studie zeigt, dass es 12 wichtige Themen gibt, die direkt mit der Erlebniswelt der Besucher im Museum verbunden sind, nämlich Ausstellungsdesign, Museumsidentität, First-hand Experience, Zugänglichkeit, Dienstleistungsumfeld, Architektur, Orientierung und Beschilderung, Annehmlichkeiten, Führungen, Wartungsarbeiten, Geschenkladen und Café, Mitarbeiter. Zu den positiven Aspekten der 12 Themen gehören die umfassenden Sammlungen, die Ausstellungsgestaltung, die Möglichkeit, Neues zu lernen, die günstigen Eintrittspreise, die strategische Lage des Museums, die informativen Museumsführer und die Dienstleistungen für eine Vielzahl von Museumsbesuchern. Bei den negativen Aspekten des Museums konzentrierten sich die Klagen der Besucher im Allgemeinen auf den Mangel an Interaktivität, Beschreibung, Kontext und Beleuchtung der Exponate. Darüber hinaus beklagten sich die Besucher über die Überfüllung an den Wochenenden, die ungepflegten Toiletten, das Verhalten des Personals und die Renovierungsarbeiten, die während der Öffnungszeiten des Museums durchgeführt wurden. Zur Verbesserung der Besuchsqualität sollte das Museum die Interaktivität und die Pflege der Sammlungen intensivieren, eine bessere Beleuchtung installieren, ausführliche Informationen über die Exponate bereitstellen, den Kundenservice und Mitarbeiterschulungen verbessern, Führungen für Kinder anbieten und einen offiziellen Museumsladen eröffnen.
Ingenieure auf die Bühne
(2018)
Which testing formats are most appropriate for assessing academic language skills? Christian Krekeler addresses this question for informal language assessment in the classroom. In the first part of this chapter discrete items, isolated tests of writing, and integrated tests, three formats which are frequently used in standardised assessment, are investigated and their usefulness for classroom assessment, where diagnosis, achievement and learning are important test functions, is discussed. Because academic language use is cognitively demanding, it is argued that assessment of academic language skills should include authentic and complex tasks as well as subject specific content. The resulting tensions between complex, authentic and context sensitive tasks and the requirements of language assessment methodology are discussed in the second part of the chapter.
The corrosion resistance of stainless steels is massively influenced by the condition of their surface. The surface quality includes the topography of the surface, the structure and composition of the passive layer, and the surface near structure of the base material. These factors are influenced by final physical/chemical surface treatments. The presented work shows significantly lower corrosion resistance for mechanical machined specimens than for etched specimens. It also turns out that the rougher the surface, the lower the corrosion resistance gets. However, there is no general finding which shows if blasted or grinded surfaces are more appropriate, but a dependency on process parameters and the characteristics on corrosive exposure in terms of corrosion behavior. The results show that not only the surface roughness Ra has an influence on corrosion behavior but also the shape of peaks and valleys which are evolved by surface treatments. Imperfections in the base material, like sulfidic inclusions lead to a weaker passive layer, respectively, to a decrease of the corrosion resistance. By using special passivating techniques the corrosion resistance of stainless steels can be increased to a higher level in comparison to common passivation.
Influence of Temperature on the Corrosion behaviour of Stainless Steels under Tribological Stress
(2018)
Posterpräsentation
The exposure to the light has a great influence on human beings in their everyday life. Various lighting sources produce light that reaches the human eye and influences a rhythmic release of melatonin hormone, that is a sleep promoting factor.
Since the development of new technologies provides more control over illuminance, this work uses an IoT based lighting system to set up dim and bright scenarios. A small study has been performed on the influence of illuminance on sleep latency. The system consists of different light bulbs, sensors and a central bridge which are interconnected like a mesh network. Also, a mobile app has been developed, that allows to adjust the lighting in various rooms. With the help of a ferro-electret sensor, like applied in sleep monitoring systems, a subject’s sleep was monitored. The sensor is placed below the mattress and it collects data, which is stored and processed in a cloud or in other alternative locations.
The research was conducted on healthy young subjects after being previously exposed to the preconfigured illuminance for at least three hours before bedtime. The results indicate correlation between sleep onset latency and exposure to different illuminance before bedtime. In a dimmed environment, the subject fell asleep in average 28% faster compared to the brighter environment.
In biomechanics laboratories the ground reaction force time histories of the foot-fall of persons are usually measured using a force plate. The accelerations of the floor, in which the force plate is embedded, have to be limited, as they may influence the accuracy of the force measurements. For the numerical simulation of vibrations induced by humans in biomechanical laboratories, loading scenarios are defined. They include continuous motions of persons (walking, running) as well as jumps, typical for biomechanical investigations on athletes. The modeling of floors has to take into account the influence of floor screed in case of portable force plates. Criteria for the assessment of the measuring error provoked by floor vibrations are given. As an example a floor designed to accommodate a force platform in a biomechanical laboratory of the University Hospital in Tübingen, Germany, has been investi-gated for footfall induced vibrations. The numerical simulation by a finite element analysis has been validated by field measurements. As a result, the measuring error of the force plate installed in the laboratory is obtained for diverse scenarios.
The massive use of patient data for the training of artificial intelligence algorithms is common nowadays in medicine. In this scientific work, a statistical analysis of one of the most used datasets for the training of artificial intelligence models for the detection of sleep disorders is performed: sleep health heart study 2. This study focuses on determining whether the gender and age of the patients have a relevant influence to consider working with differentiated datasets based on these variables for the training of artificial intelligence models.
This paper compares the surface morphology of differently finished austenitic stainless steel AISI 316L, also in combination with low temperature carburization. Milled and tumbled surfaces were analyzed by means of corrosion resistance and surface morphology. The results of potentiodynamic measurements show that professional grinding operations with SiC and Al2O3 always lead to a better corrosion resistance of low temperature carburized surfaces compared to the untreated reference in the used acidified chloride solution. Big influence on the corrosion resistance of vibratory ground or tumbled surfaces has the amount of plastic deformation while machining, that has to be kept low for austenitic stainless steels. Due to the high ductility, plastic deformation can lead to the formation of meta stable pits that can be initiation points of corrosion. The formation of meta stable pits can be aggravated by low temperature diffusion processes.
Mechanical properties after stretching testings were calcu-lated and experimentally determined via Tempcore method for bar core, bar surface and whole bar cross section. It was displayed on the base of experiments and imitating simulation that deformation in core and surface areas of a bar are equal and therefore influence of structural parameters in the core area is principally decisive for initiating of neck forming in the surface area. The results showed that resistance to destruction of martensite surface layer has rather less effect on bar properties in general in comparison with previous investigations. It is concluded that improvement of core structure quality can help to lower brittleness of the whole bar. It was also proved that used techniques provide good concordance between the obtained results and experimental data. Therefore, the additivity rule for structural components can be used successfully for determination of whole bar parameters, taking into account thickness of surface layer that can be measured easily using hardness sensor. It will simplify practically quality control of products.
In order to elaborate inflation and deflation tendencies due to the COVID-19 pandemic and how they are tried to be actively influenced, this paper compares news regarding the measurements of central banks in Europe, USA and Japan. Factors affecting inflation are defined in conjunction with the typical measurements of central banks and conclusions are drawn in respect to differences of the most recent correcting behavior. The paper is concluded by discussing how price levels might develop during and after the crisis.
Industry 4.0
(2017)
Für den deutschen bzw. europäischen Tourismus ist
Indien seit Jahrzehnten eine Destination, die kulturtouristisch,
aber auch zunehmend gesundheitstouristische
interessant ist. Sonderformen wie spiritueller
Tourismus, nachhaltiger Tourismus oder Tanztourismus
(Bollywood-Dance) haben sich in Nischen
etabliert oder beginnen diese zu verlassen. Indien
selbst unternahm mit seiner Kampagne „Incredible
India“ 2002 eine weltweit beachtete, selbstironische
Initiative, sich als „unglaubliche“ Destination in den
Auslandsmärkten zu positionieren. Demgegenüber
steht eine Realität in Indien, die einerseits Massenarmut,
Korruption, Sicherheitsprobleme, Bürokratie
und mangelnde Infrastruktur ebenso vorhält wie eine
beeindruckende Kultur- und Naturlandschaft, gut
ausgebildete englischsprachige Menschen, ethnische
Vielfalt sowie Mystik und Spiritualität. Indien definiert
sich – auch touristisch – durch Extreme (vgl. Freyer &
Thimm 2011: 261).
Incremental one-class learning using regularized null-space training for industrial defect detection
(2024)
One-class incremental learning is a special case of class-incremental learning, where only a single novel class is incrementally added to an existing classifier instead of multiple classes. This case is relevant in industrial defect detection scenarios, where novel defects usually appear during operation. Existing rolled-out classifiers must be updated incrementally in this scenario with only a few novel examples. In addition, it is often required that the base classifier must not be altered due to approval and warranty restrictions. While simple finetuning often gives the best performance across old and new classes, it comes with the drawback of potentially losing performance on the base classes (catastrophic forgetting [1]). Simple prototype approaches [2] work without changing existing weights and perform very well when the classes are well separated but fail dramatically when not. In theory, null-space training (NSCL) [3] should retain the basis classifier entirely, as parameter updates are restricted to the null space of the network with respect to existing classes. However, as we show, this technique promotes overfitting in the case of one-class incremental learning. In our experiments, we found that unconstrained weight growth in null space is the underlying issue, leading us to propose a regularization term (R-NSCL) that penalizes the magnitude of amplification. The regularization term is added to the standard classification loss and stabilizes null-space training in the one-class scenario by counteracting overfitting. We test the method’s capabilities on two industrial datasets, namely AITEX and MVTec, and compare the performance to state-of-the-art algorithms for class-incremental learning.
Increasing robustness of handwriting recognition using character N-Gram decoding on large lexica
(2016)
Offline handwriting recognition systems often include a decoding step, that is retrieving the most likely character sequence from the underlying machine learning algorithm. Decoding is sensitive to ranges of weakly predicted characters, caused e.g. by obstructions in the scanned document. We present a new algorithm for robust decoding of handwriting recognizer outputs using character n-grams. Multidimensional hierarchical subsampling artificial neural networks with Long-Short-Term-Memory cells have been successfully applied to offline handwriting recognition. Output activations from such networks, trained with Connectionist Temporal Classification, can be decoded with several different algorithms in order to retrieve the most likely literal string that it represents. We present a new algorithm for decoding the network output while restricting the possible strings to a large lexicon. The index used for this work is an n-gram index with tri-grams used for experimental comparisons. N-grams are extracted from the network output using a backtracking algorithm and each n-gram assigned a mean probability. The decoding result is obtained by intersecting the n-gram hit lists while calculating the total probability for each matched lexicon entry. We conclude with an experimental comparison of different decoding algorithms on a large lexicon.
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.
This PhD investigation lies at the intersection of Architecture, Textile Design and Interaction Design and speculates about sustainable forms of future living, focussing on bionic principles to create alternative lightweight building structures with textiles and digital fabrication techniques. In an interdisciplinary, practice- based design approach, informed by radical case studies from the 1960s to 80s on soft architectures like Archigram, Buckminster Fuller, Cedric Price, or Yona Friedman and critical theory on new materialism, (D. Haraway 1997, K. Barad 1998, J. Bennett 2007) sociological, philosophical (B. Latour 2005, G.Deleuze F., Guattari F 1987) and phenomenological thinkers (L. Malafouris 2005, J.Rancière 2004, B. Massumi 2002, N. Bourriaud 2002 , M. Merleau-Ponty 1963) this research investigates the cultural and social rootedness (Verortung) of novel materials and technologies, exploring in between prosthetic relations between the body and the environment.
InBetween
(2017)
Apnea is a sleep disorder characterized by breathing interruptions during sleep, impacting cardiorespiratory function and overall health. Traditional diagnostic methods, like polysomnography (PSG), are unobtrusive, leading to noninvasive monitoring. This study aims to develop and validate a novel sleep monitoring system using noninvasive sensor technology to estimate cardiorespiratory parameters and detect sleep apnea. We designed a seamless monitoring system integrating noncontact force-sensitive resistor sensors to collect ballistocardiogram signals associated with cardiorespiratory activity. We enhanced the sensor’s sensitivity and reduced the noise by designing a new concept of edge-measuring sensor using a hemisphere dome and mechanical hanger to distribute the force and mechanically amplify the micromovement caused by cardiac and respiration activities. In total, we deployed three edge-measuring sensors, two deployed under the thoracic and one under the abdominal regions. The system is supported with onboard signal preprocessing in multiple physical layers deployed under the mattress. We collected the data in four sleeping positions from 16 subjects and analyzed them using ensemble empirical mode decomposition (EMD) to avoid frequency mixing. We also developed an adaptive thresholding method to identify sleep apnea. The error was reduced to 3.98 and 1.43 beats/min (BPM) in heart rate (HR) and respiration estimation, respectively. The apnea was detected with an accuracy of 87%. We optimized the system such that only one edge-measuring sensor can measure the cardiorespiratory parameters. Such a reduction in the complexity and simplification of the instruction of use shows excellent potential for in-home and continuous monitoring.
Corporate Entrepreneurship (CE) became the new paradigm for organizations to cope with the accelerated development of innovations. Therefore, especially established organizations increasingly implement CE activities, even in combination. Scholars point out that a coordinated portfolio of CE activities could yield synergies and thus higher value for the organization and further call for more scientific examinations. This literature review aims to better the understanding of the combined and coordinated use of CE activities as well as about resulting synergies. Results show that there are only very few studies that addressed a combination and/or coordination of CE activities with respect to the creation of additional value, however, without empirical analyses. Yet, five categories of direct and indirect synergies could be derived. Discussing the results as well as the heterogenous use of terminology and concepts, this paper concludes with a research agenda for future analyses.
Improving the tribological properties of Stainless Steels by low-temperature surface hardening
(2022)
The Industrial Internet of Things (IIoT) will leverage on wireless network technologies to integrate in a seamless manner Cyber-Physical Systems into existing information systems. In this context, the 6TiSCH architecture, proposed by IETF, represents the current leading standardization effort to enable timed and reliable data communication within IPv6 networks for industrial applications. In wireless networks, Link Quality Estimation (LQE) is a crucial task to select the best routes for data forwarding, regardless of unpredictable time varying conditions. Although, many solutions for LQE have been proposed in literature, the majority of them are not designed specifically for 6TiSCH networks. In this paper, we analyze the performance of existing LQE strategies on 6TiSCH networks.
First, we run a set of simulations to measure the performance of one existing LQE strategy in 6TiSCH. Our simulations show that such strategy can result in measurements with low accuracy due to the 6TiSCH default timeslot allocation strategy. Consequently, we propose an extension of the 6TiSCH Minimal Configuration that allocates specific timeslots for the transmission of probing messages to mitigate the problem. The proposed methodology is demonstrated to effectively reduce the LQE error.
Recent years have seen the proposal of several different gradient-based optimization methods for training artificial neural networks. Traditional methods include steepest descent with momentum, newer methods are based on per-parameter learning rates and some approximate Newton-step updates. This work contains the result of several experiments comparing different optimization methods. The experiments were targeted at offline handwriting recognition using hierarchical subsampling networks with recurrent LSTM layers. We present an overview of the used optimization methods, the results that were achieved and a discussion of why the methods lead to different results.
Vortrag auf dem Doktorandenkolloquium des Kooperativen Promotionskollegs der HTWG, 09.07.2015
Cities around the world are facing the implications of a changing climate as an increasingly pressing issue. The negative effects of climate change are already being felt today. Therefore, adaptation to these changes is a mission that every city must master. Leading practices worldwide demonstrate various urban efforts on climate change adaptation (CCA) which are already underway. Above all, the integration of climate data, remote sensing, and in situ data is key to a successful and measurable adaptation strategy. Furthermore, these data can act as a timely decision support tool for municipalities to develop an adaptation strategy, decide which actions to prioritize, and gain the necessary buy-in from local policymakers. The implementation of agile data workflows can facilitate the integration of climate data into climate-resilient urban planning. Due to local specificities, (supra)national, regional, and municipal policies and (by) laws, as well as geographic and related climatic differences worldwide, there is no single path to climate-resilient urban planning. Agile data workflows can support interdepartmental collaboration and, therefore, need to be integrated into existing management processes and government structures. Agile management, which has its origins in software development, can be a way to break down traditional management practices, such as static waterfall models and sluggish stage-gate processes, and enable an increased level of flexibility and agility required when urgent. This paper presents the findings of an empirical case study conducted in cooperation with the City of Constance in southern Germany, which is pursuing a transdisciplinary and trans-sectoral co-development approach to make management processes more agile in the context of climate change adaptation. The aim is to present a possible way of integrating climate data into CCA planning by changing the management approach and implementing a toolbox for low-threshold access to climate data. The city administration, in collaboration with the University of Applied Sciences Constance, the Climate Service Center Germany (GERICS), and the University of Stuttgart, developed a co-creative and participatory project, CoKLIMAx, with the objective of integrating climate data into administrative processes in the form of a toolbox. One key element of CoKLIMAx is the involvement of the population, the city administration, and political decision-makers through targeted communication and regular feedback loops among all involved departments and stakeholder groups. Based on the results of a survey of 72 administrative staff members and a literature review on agile management in municipalities and city administrations, recommendations on a workflow and communication structure for cross-departmental strategies for resilient urban planning in the City of Constance were developed.
In diesem Beitrag wird die Hardware-Implementierung eines Datenkompressionsverfahrens auf einem FPGA vorgestellt. Das Verfahren wurde speziell für Kompression kurzer Datenblöcke in Flash-Speichern entwickelt. Dabei werden Quelldaten mithilfe eines Encoders komprimiert und mit einem Decoder verlustlos dekomprimiert. Durch die Reduktion der Datenrate kann in Flash-Speichern die Übertragungsdauer zum Lesen und Schreiben reduziert werden. Ebenso ist eine Kompression von Nutzdaten sinnvoll, um zusätzliche Redundanzen für einen Fehlerschutz einfügen zu können, ohne den Gesamtspeicherplatzbedarf zu erhöhen.
Im Rahmen dieser Diplomarbeit wird eine horizontale Baumkomponente als JavaBean erstellt. Die Baumkomponente soll als Truppenbaum in ein bestehendes Führungs-Informationssystem implementiert werden. Dazu ist die Verwendung des SVG (XML) Grafikformates zur Darstellung der Symbole einzelner Knoten erforderlich. Weiterhin wird die Interaktion von Java-Komponenten mit Windows COM und DCOM untersucht. Es werden mehrere unterschiedliche Java-COM-Bridges getestet. In der vorliegenden Arbeit wird zuerst auf die Grundlagen eingegangen, indem das XML und SVG Format vorgestellt wird und die Grundlagen von JavaBeans sowie die benutzten Bibliotheken erläutert werden. Anschließend wird die Entwicklung der Komponente mit Pflichtenheft, Architektur und Implementierung dargestellt. Abschließend werden die Java-COM-Bridges beschrieben.
Digitale Signaturen zum Überprüfen der Integrität von Daten, beispielsweise von Software-Updates, gewinnen zunehmend an Bedeutung. Im Bereich der eingebetteten Systeme kommen derzeit wegen der geringen Komplexität noch überwiegend symmetri-sche Verschlüsselungsverfahren zur Berechnung eines Authentifizierungscodes zum Einsatz. Asym-metrische Kryptosysteme sind rechenaufwendiger, bieten aber mehr Sicherheit, weil der Schlüssel zur Authentifizierung nicht geheim gehalten werden muss. Asymmetrische Signaturverfahren werden typischerweise zweistufig berechnet. Der Schlüssel wird nicht direkt auf die Daten angewendet, sondern auf deren Hash-Wert, der mit Hilfe einer Hash-funktion zuvor berechnet wurde. Zum Einsatz dieser Verfahren in eingebetteten Systemen ist es erforder-lich, dass die Hashfunktion einen hinreichend gro-ßen Datendurchsatz ermöglicht. In diesem Beitrag wird eine effiziente Hardware-Implementierung der SHA-256 Hashfunktion vorgestellt.
Throughout this thesis, the implementation of tools for knowledge management as a key factor for sustainable corporate development, is presented. In industries with a high fluc-tuation rate, such as construction, efficient knowledge management is of particular im-portance. Companies feel the effects of negligent handling of this resource especially dur-ing the Corona pandemic. Restructuring leads to experienced employees leaving the com-pany – and with them the know-how and experience gained. With a systematic knowledge transfer, the most important insights in such situations remain within the or-ganization. Thus, the company becomes crisis-proof and receives all the tools it needs to grow healthily again after the recession. Practical data from competitors indicates that knowledge management promises savings potential of several million euros per year for BAM. Further potentials in the areas of sustainability, customer- and employee satisfac-tion as well as occupational safety, which do not lead to savings, are also worth mention-ing. This thesis determines the current maturity level of knowledge management at BAM, before introducing processes and systems that successively drive the improvement. The developed methods simultaneously help to prevent and solve problems and systematical-ly promote the continuous improvement of all work processes in the company.
Detailed steps are presented to carry out change management towards the successful introduction and further development of knowledge management at BAM. A major focus is on interpersonal factors. The related topic of knowledge culture was recently ranked by german think-tank Zukunftsinstitut as one of the top 5 megatrends for companies in the 2020s. The methods developed, contribute to the creation of such a culture and to the transformation of BAM towards a learning organization. Knowledge management identi-fies with the BAM values. In the course of this thesis it will be shown how the system by its very nature, helps to implement these values in the work of every employee.
The results of this elaboration were recently awarded the Digital Construction Award 2020 for Business Excellence at BAM Deutschland AG.
With the increasing challenges of the 21st century, such as a rapidly growing population, increasing hunger and the destruction of the environment, the demand for sustainable and future-oriented ways of living is growing. To meet this demand, a residential district named Maun Science Park is being built in Botswana to develop a resilient society. In addition to the application of modern technology to optimise the use of resources, the environmentally friendly construction of the buildings is another goal of the project. This thesis investigates the prefabrication of rammed earth in terms of implementation and profitability for the Maun Science Park.
For this purpose, the specific properties, handling, as well as the application of the building material in prefabrication are first discussed.
This is followed by an investigation of how the work processes of prefabrication can be implemented in the Maun Science Park. Based on this, a profitability test is carried out using a break-even and sensitivity analysis.
The analyses showed that the investment in prefabrication is not profitable within the assumed production volume, which is due to the high fixed costs. These are primarily generated by the two main cost drivers, consisting of the new construction of the production hall and the rental of heavy construction equipment.
Lastly, recommendations for action were formulated that provide for a cost reduction in both the two main cost drivers as well as for other decisive factors.
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)
The detection of anomalous or novel images given a training dataset of only clean reference data (inliers) is an important task in computer vision. We propose a new shallow approach that represents both inlier and outlier images as ensembles of patches, which allows us to effectively detect novelties as mean shifts between reference data and outliers with the Hotelling T2 test. Since mean-shift can only be detected when the outlier ensemble is sufficiently separate from the typical set of the inlier distribution, this typical set acts as a blind spot for novelty detection. We therefore minimize its estimated size as our selection rule for critical hyperparameters, such as, e.g., the size of the patches is crucial. To showcase the capabilities of our approach, we compare results with classical and deep learning methods on the popular datasets MNIST and CIFAR-10, and demonstrate its real-world applicability in a large-scale industrial inspection scenario.
Deep neural networks have been successfully applied to problems such as image segmentation, image super-resolution, coloration and image inpainting. In this work we propose the use of convolutional neural networks (CNN) for image inpainting of large regions in high-resolution textures. Due to limited computational resources processing high-resolution images with neural networks is still an open problem. Existing methods separate inpainting of global structure and the transfer of details, which leads to blurry results and loss of global coherence in the detail transfer step. Based on advances in texture synthesis using CNNs we propose patch-based image inpainting by a single network topology that is able to optimize for global as well as detail texture statistics. Our method is capable of filling large inpainting regions, oftentimes exceeding quality of comparable methods for images of high-resolution (2048x2048px). For reference patch look-up we propose to use the same summary statistics that are used in the inpainting process.
Ignorantia doctorum
(2022)
Since the turn of the millennium, many writing centers have been established at universities in the German-speaking world, in order to support students in academic writing. This essay argues for offering subject-anchored directive guidance and using scientific texts as a basis for model learning. It states that the rhetorical tradition is hardly taken into account in the writing centers. Five arguments for this ignorance are discussed and, if possible, dispelled: the antiquity argument, which considers rhetoric outdated; the orality argument, which understands rhetoric as irrelevant to writing; the moral argument, which condemns rhetoric as a tool for demagogues; the positivist argument, which criticizes rhetoric as unempirical; and the didactic argument, which rejects rhetoric as a rigid doctrine. The discussion shows, however, that the rhetorical tradition, with its normative power and centuries of teaching practice, is a treasure trove of writing didactics that holds many resources, such as well-founded assessment criteria for the quality, appropriateness, and usefulness of texts.
Ignaz Sichelbarth 1708-1780
(2014)
IGA using subdivision-solids
(2015)
Identität versus Interessen
(2004)
Measuring cardiorespiratory parameters in sleep, using non-contact sensors and the Ballistocardiography technique has received much attention due to the low-cost, unobtrusive, and non-invasive method. Designing a user-friendly, simple-to-use, and easy-to-deployment preserving less errorprone remains open and challenging due to the complex morphology of the signal. In this work, using four forcesensitive resistor sensors, we conducted a study by designing four distributions of sensors, in order to simplify the complexity of the system by identifying the region of interest for heartbeat and respiration measurement. The sensors are deployed under the mattress and attached to the bed frame without any interference with the subjects. The four distributions are combined in two linear horizontal, one linear vertical, and one square, covering the influencing region in cardiorespiratory activities. We recruited 4 subjects and acquired data in four regular sleeping positions, each for a duration of 80 seconds. The signal processing was performed using discrete wavelet transform bior 3.9 and smooth level of 4 as well as bandpass filtering. The results indicate that we have achieved the mean absolute error of 2.35 and 4.34 for respiration and heartbeat, respectively. The results recommend the efficiency of a triangleshaped structure of three sensors for measuring heartbeat and respiration parameters in all four regular sleeping positions.
Identifikation von Schlaf- und Wachzuständen durch die Auswertung von Atem- und Bewegungssignalen
(2021)
Die Hefte der Schriftenreihe licht.wissen geben Informationen zur Lichtanwendung. Diese Themenhefte erläutern anhand vieler Beleuchtungsbeispiele lichttechnische Grundlagen und zeigen beispielhafte Lösungen. Sie erleichtern damit auch die Zusammenarbeit mit Fachleuten der Licht- und Elektrotechnik. Alle lichttechnischen Aussagen sind grundsätzlicher Art.
IAF Jahresbericht 2003
(2004)
IAF Jahresbericht 2002
(2003)
IAF Jahresbericht 2001
(2002)