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Über Chancen und Risiken von Computern an Schulen wird seit deren Einführung im Jahr 1984 kontrovers diskutiert. Neben Laptops und Tablets geht es heute um die Nutzung von Schulclouds und privaten Smartphones im Unterricht. Das Akronym dafür ist BYOD – »Bring Your Own Device«.
Dabei stellen sich grundsätzliche pädagogische und politische Fragen: Welcher Unterrichts- und Medienkonzepte bedarf es, um den Risiken der Digitalisierung vorzubeugen, die Schüler_innen aber zugleich an deren Chancen teilhaben zu lassen? Bei Netzanwendungen ist zudem der Datenschutz zu beachten, vor allem, wenn eigene Geräte genutzt werden sollen. So fördert das BMBF eine Schulcloud, in der Lehrkräfte und Schüler_innen wie bei Facebook Gruppen bilden, Dokumente austauschen und online darüber diskutieren können.
Das Buch greift die aktuelle Kontroverse auf und fragt nach den Zielen und Nebenwirkungen von »Bildung 4.0«. Was davon ist für die Unterrichtspraxis relevant? Und wessen Interessen werden bei welchen Konzepten vertreten?
Das vorliegende Buch richtet sich vorwiegend an Webentwickler und Webinteressierte. Zunächst wird ein Überblick über Digital Storytelling, seine Geschichte und die verschiedenen heutigen Ausprägungen gegeben. Dabei liegt der Fokus auf Digital Storytelling im Web auf Basis von Animation.
Besonders die Idee der scroll-activated animation als zeitgemäßes Konzept für das Storytelling wird in diesem Buch in den Mittelpunkt gestellt.
Als technische Möglichkeiten zur Umsetzung von Webanimationen werden CSS3, SVG und HTML5-Canvas vorgestellt und diese in der Folge detailliert beschrieben.
Im Rahmen eines umfangreich dokumentierten Demoprojekts wird intensiv auf die Konzeption einer scroll-actived animation basierten Website und deren technische Umsetzung mittels HTML5, CSS3, JavaScript/jQuery und ScrollMagic sowie die damit verbundenen Herausforderungen eingegangen. Dies erlaubt dem Leser das detaillierte Nachvollziehen der Erstellung und die davon abgeleitete Entwicklung eigener Projekte.
Der Inhalt des Buches
- Definition, Entwicklung und psychologische Wirkungsweisen
- Medienformen
- Digital Storytelling
- Animationen im Web
- Technische Umsetzung
Die Zielgruppen des Buches
- Konzepter
- Webentwickler
- Mediengestalter
- Studenten, Azubis
- Webinteressierte
Die Auswirkungen der digitalen Transformation werden meist im Kontext von Wirtschaftsunternehmen diskutiert und auf die Blickwinkel Wirtschaft und Technologie fokussiert. Der digitale Wandel hat jedoch auch die Führungsaufgaben in vielen gesellschaftlichen Bereichen verändert, wie am Beispiel Schule und Kommunalverwaltung aufgezeigt wird.
Die Wörz´sche Heuristik
(2019)
Die Kultur der Macht: Politische Kommunikation zwischen Artefakten, Manipulation und Repräsentation
(2019)
Macht ist eine entscheidende Größe, um innerhalb von sozialen Systemen Veränderungen durchzusetzen und Entwicklungen voranzutreiben oder gar erst zu ermöglichen. In der politischen Kommunikation ist der bewusste und konstruktive Umgang mit Macht oft einer der Erfolgsfaktoren für politische Akteure wie Politiker, Bürger und Parteien. Macht kann dabei nur durch die Menschen ausgeübt werden, denen sie durch andere zugesprochen oder auch zugebilligt wird, weshalb der Kultur der Macht als Ergebnis und Mittel der Kommunikation eine entscheidende Bedeutung zukommt. Dies ist aktuell durch die veränderten Informations- und Mediennutzungsgewohnheiten der Bürger*innen und der veränderten Kommunikationsszenarien in Zeiten postfaktischer und populistischer Tendenzen eine besondere Herausforderung. Ausgehend von der Wechselwirkung zwischen Artefakten der Macht und dem Aufgabenfeld der politischen Kommunikation werden in der knapp gefassten Analyse die praktischen Handlungsfelder aufgezeigt. Die kommunikativen Anforderungen aus dem Prinzip der Repräsentation, die Ausgestaltung politsicher Informationen und die Festlegung des passenden Sprachniveaus, die Auswahl der passenden Kommunikationskanäle und -anlässe sowie die Entwicklung kompletter Kampagnen oder die Festlegung inhaltlicher Wahlkampfstrategien erweisen sich als große Herausforderung für alle politischen Akteure.
Development of Fully Printed Oxide Field-Effect Transistors using Graphene Passive Structures
(2019)
During the past decade to the present time, the topic of printed electronics has gained a lot of attention for their potential use in a number of practical applications, including biosensors, photovoltaic devices, RFIDs, flexible displays, large-area circuits, and so on. To fully realize printed electronic components and devices, effective techniques for the printing of passive structures and electrically and chemically compatible materials in the printed devices need to be developed first. The opportunity of using electrically conducting graphene inks will enable the integration of passive structures into active devices, as for example, printed electrolyte-gated transistors (EGTs). Accordingly, in this study, we present the parametric results obtained on fully printed electrolyte-gated transistors having graphene as the passive electrodes, an inorganic oxide semiconductor as the active channel, and a composite solid polymer electrolyte (CSPE) as the gate insulating material. This configuration offers high chemical and electrical stability while at the same time allowing EGT operation at low potentials, implying the distinct advantage of operation at low input voltages. The printed in-plane EGTs we developed exhibit excellent performance with device mobility up to 16 cm2 V–1 s–1, an ION/IOFF ratio of 105, and a subthreshold slope of 120 mV dec–1.
The ability to change aerodynamic parameters of airfoils during flying can potentially save energy as well as reducing the noise made by the unmanned aerial vehicles (UAV) because of sharp edges of the airfoil and its rudders. In this paper, an approach for the design of an adaptive wing using a multi-material 3D printer is shown. In multi-material 3D printing, up to six different materials can be combined in one component. Thus, the user can determine the mixture and the spatial arrangement of this “digital material” in advance in the pre-processing software. First, the theoretical benefits of adaptive wings are shown, and already existing adaptive wings and concepts are explicated within a literature review. Then the additive manufacturing process using photopolymer jetting and its capabilities to print multiple materials in one part are demonstrated. Within the scope of a case study, an adaptive wing is developed and the necessary steps for the product development and their implementation in CAD are presented. This contribution covers the requirements for different components and sections of an adaptive wing designed for additive manufacturing using multiple materials as well as the single steps of development with its different approaches until the final design of the adaptive wing. The developed wing section is simulated, and qualitative tests in a wind tunnel are carried out with the wing segment. Finally, the additively manufactured wing segment is evaluated under technical and economic aspects.
In this article we outline the model development planned within the joint projectModel-based city planningand application in climate change (MOSAIK). The MOSAIK project is funded by the German FederalMinistry of Education and Research (BMBF) within the frameworkUrban Climate Under Change ([UC]2)since 2016. The aim of MOSAIK is to develop a highly-efficient, modern, and high-resolution urban climatemodel that allows to be applied for building-resolving simulations of large cities such as Berlin (Germany).The new urban climate model will be based on the well-established large-eddy simulation code PALM, whichalready has numerous features related to this goal, such as an option for prescribing Cartesian obstacles. Inthis article we will outline those components that will be added or modified in the framework of MOSAIK.Moreover, we will discuss the everlasting issue of acquisition of suitable geographical information as inputdata and the underlying requirements from the model's perspective.
Dissertation D. Dongol
Hot working tools are subjected to complex thermal and mechanical loads during service. Locally, the stresses can exceed the material’s yield strength in highly loaded areas. During production, this causes cyclic plastic deformation and thus thermomechanical fatigue, which can significantly shorten the lifetime of hot working tools. To sustain this high loads, the hot working tools are typically made of tempered martensitic hot work tool steels. While the annealing temperatures of the tool steels usually lie in the range of 400 to 600 °C, the steels may experience even higher temperatures during hot working, resulting in softening of the material due to changes in microstructure. Therefore, the temperature-dependent cyclic mechanical properties of the frequently used hot work tool steel 1.2367 (X38CrMoV5-3) after tempering are investigated in this work. To this end, hardness measurements are performed. Furthermore, the Institute of Forming Technology and Machines (IFUM) provides test results from cyclic tests at temperatures ranging from 20 °C (room temperature) to 650 °C. To describe the observed time- and temperature-dependent softening during tempering, a kinetic model for the evolution of the mean size of secondary carbides based on Ostwald ripening is developed. In addition, both mechanism-based and phenomenological relationships for the cyclic mechanical properties of the Ramberg- Osgood model depending on carbide size and temperature are proposed. The stress-strain hysteresis loops measured at different temperatures and after different heat treatments can be well described with the proposed kinetic and mechanical model. Furthermore, the model is suitable for integration in advanced mechanism-based lifetime models. However, since the Ramberg-Osgood model is not suitable for finite element implementation, a temperature-dependent incremental cyclic plasticity model is presented as well. Thus, softening due to particle coarsening can be applied in the finite element method (FEM). Therefore, a kinetic model is coupled with a cyclic plasticity model including kinematic hardening. The plasticity model is implemented via subroutines in the finite element program ABAQUS for implicit integration (subroutine called UMAT) and explicit integration (subroutine called VUMAT). The implemented model is used for the simulation of an exemplary hot working process to assess the effects of softening due to particle coarsening. It shows that the thermal softening at high temperatures, which occur over a long time at a mechanically highly loaded area, has a great influence. If this influence is not considered in tool design, an unexpected tool failure might occur bringing the production to a standstill.
A physical unclonable function (PUF) is a hardware circuit that produces a random sequence based on its manufacturing-induced intrinsic characteristics. In the past decade, silicon-based PUFs have been extensively studied as a security primitive for identification and authentication. The emerging field of printed electronics (PE) enables novel application fields in the scope of the Internet of Things (IoT) and smart sensors. In this paper, we design and evaluate a printed differential circuit PUF (DiffC-PUF). The simulation data are verified by Monte Carlo analysis. Our design is highly scalable while consisting of a low number of printed transistors. Furthermore, we investigate the best operating point by varying the PUF challenge configuration and analyzing the PUF security metrics in order to achieve high robustness. At the best operating point, the results show areliability of 98.37% and a uniqueness of 50.02%, respectively. This analysis also provides useful and comprehensive insights into the design of hybrid or fully printed PUF circuits. In addition, the proposed printed DiffC-PUF core has been fabricated with electrolyte-gated field-effect transistor technology to verify our design in hardware.
Der bildungsferne Campus
(2019)
Walking interfaces offer advantages in navigation of VE systems over other types of locomotion. However, VR helmets have the disadvantage that users cannot see their immediate surroundings. Our publication describes the prototypical implementation of a virtual environment (VE) system, capable of detecting possible obstacles using an RGB-D sensor. In order to warn users of potential collisions with real objects while they are moving throughout the VE tracking area, we designed 4 different visual warning metaphors: Placeholder, Rubber Band, Color Indicator and Arrow. A small pilot study was carried out in which the participants had to solve a simple task and avoid any arbitrarily placed physical obstacles when crossing the virtual scene. Our results show that the Placeholder metaphor (in this case: trees), compared to the other variants, seems to be best suited for the correct estimation of the position of obstacles and in terms of the ability to evade them.
Data Science
(2019)
Data Science steht derzeit wie kein anderer Begriff für die Auswertung großer Datenmengen mit analytischen Konzepten des Machine Learning oder der künstlichen Intelligenz. Nach der bewussten Wahrnehmung der Big Data und dabei insbesondere der Verfügbarmachung in Unternehmen sind Technologien und Methoden zur Auswertung dort gefordert, wo klassische Business Intelligence an ihre Grenzen stößt.
Dieses Buch bietet eine umfassende Einführung in Data Science und deren praktische Relevanz für Unternehmen. Dabei wird auch die Integration von Data Science in ein bereits bestehendes Business-Intelligence-Ökosystem thematisiert. In verschiedenen Beiträgen werden sowohl Aufgabenfelder und Methoden als auch Rollen- und Organisationsmodelle erläutert, die im Zusammenspiel mit Konzepten und Architekturen auf Data Science wirken. Neben den Grundlagen werden unter anderem folgende Themen behandelt:
- Data Science und künstliche Intelligenz
- Konzeption und Entwicklung von Data-driven Products
- Deep Learning
- Self-Service im Data-Science-Umfeld
- Data Privacy und Fragen zur digitalen Ethik
- Customer Churn mit Keras/TensorFlow und H2O
- Wirtschaftlichkeitsbetrachtung bei der Auswahl und Entwicklung von Data Science
- Predictive Maintenance
- Scrum in Data-Science-Projekten
Zahlreiche Anwendungsfälle und Praxisbeispiele geben Einblicke in die aktuellen Erfahrungen bei Data-Science-Projekten und erlauben dem Leser einen direkten Transfer in die tägliche Arbeit.
Das Geschäftsgeheimnisgesetz - Praxisrelevante Aspekte der Umsetzung der EU Richtlinie 2016/943
(2019)
Geschäftsgeheimnisse sind wertvoll. Mit dem neuen Geschäftsgeheimnisgesetz vom 18.4.2019 (Gesetz zum Schutz von Geschäftsgeheimnissen – GeschGehG, BGBl. I 2019, 466) ist die Know-how-Richtlinie (Richtlinie (EU) 2016/943 des Europäischen Parlaments und des Rates vom 8.6.2016 über den Schutz vertraulichen Know-hows und vertraulicher Geschäftsinformationen vor rechtswidrigem Erwerb sowie rechtswidriger Nutzung und Offenlegung) umgesetzt. Der bisher dezentral und weitgehend unspezifiziert (§§ 823 ff., 826, 1004 BGB) bestehende Geheimnisschutz ist nunmehr einheitlich und übersichtlich zusammengefasst. Stefan Ernst gibt einen Überblick über die Neuerungen gegenüber der bisherigen Rechtslage und Anhaltspunkte für Handlungsbedarf bei betroffenen Unternehmen.
Cast aluminum alloys are frequently used as materials for cylinder head applications in internal combustion gasoline engines. These components must withstand severe cyclic mechanical and thermal loads throughout their lifetime. Reliable computational methods allow for accurate estimation of stresses, strains, and temperature fields and lead to more realistic Thermomechanical Fatigue (TMF) lifetime predictions. With accurate numerical methods, the components could be optimized via computer simulations and the number of required bench tests could be reduced significantly. These types of alloys are normally optimized for peak hardness from a quenched state that maximizes the strength of the material. However due to high temperature exposure, in service or under test conditions, the material would experience an over-ageing effect that leads to a significant reduction in the strength of the material. To numerically account for ageing effects, the Shercliff & Ashby ageing model is combined with a Chaboche-type viscoplasticity model available in the finite-element program ABAQUS by defining field variables. The constitutive model with ageing effects is correlated with uniaxial cyclic isothermal tests in the T6 state, the overaged state, as well as thermomechanical tests. On the other hand, the mechanism-based TMF damage model (DTMF) is calibrated for both T6 and over-aged state. Both the constitutive and the damage model are applied to a cylinder head component simulating several cycles on an engine dynamometer test. The effects of including ageing for both models are shown.
The authors explain a developed concept for research-oriented education in optics and photonics. It is presented which goals are to be achieved, which strategies have been developed and how these can be implemented in a blended learning scenario. The goal of our education is the best possible qualification of the students on the basis of a strong scientific and research-oriented education, which also includes the acquisition of important interdisciplinary competences. All phases of a research process are to be mapped in the learning process and offer students an insight into current research topics in optics and photonics.
In this article the high-temperature behavior of a cylindrical lithium iron phosphate/graphite lithium-ion cell is investigated numerically and experimentally by means of differential scanning calorimetry (DSC), accelerating rate calorimetry (ARC), and external short circuit test (ESC). For the simulations a multi-physics multi-scale (1D+1D+1D) model is used. Assuming a two-step electro-/thermochemical SEI formation mechanism, the model is able to qualitatively reproduce experimental data at temperatures up to approx. 200 °C. Model assumptions and parameters could be evaluated via comparison to experimental results, where the three types of experiments (DSC, ARC, ESC) show complementary sensitivities towards model parameters. The results underline that elevated-temperature experiments can be used to identify parameters of the multi-physics model, which then can be used to understand and interpret high-temperature behavior. The resulting model is able to describe nominal charge/discharge operation behavior, long-term calendaric aging behavior, and short-term high-temperature behavior during extreme events, demonstrating the descriptive and predictive capabilities of physicochemical models.
With the growing share of renewable energies in the electricity supply, transmission and distribution grids have to be adapted. A profound understanding of the structural characteristics of distribution grids is essential to define suitable strategies for grid expansion. Many countries have a large number of distribution system operators (DSOs) whose standards vary widely, which contributes to coordination problems during peak load hours. This study contributes to targeted distribution grid development by classifying DSOs according to their remuneration requirement. To examine the amendment potential, structural and grid development data from 109 distribution grids in South-Western Germany, are collected, referring to publications of the respective DSOs. The resulting data base is assessed statistically to identify clusters of DSOs according to the fit of demographic requirements and grid-construction status and thus identify development needs to enable a broader use of regenerative energy resources. Three alternative algorithms are explored to manage this task. The study finds the novel Gauss-Newton algorithm optimal to analyse the fit of grid conditions to regional requirements and successfully identifies grids with remuneration needs. It is superior to the so far used K-Means algorithm. The method developed here is transferable to other areas for grid analysis and targeted, cost-efficient development.
Protecting software from illegal access, intentional modification or reverse engineering is an inherently difficult practical problem involving code obfuscation techniques and real-time cryptographic protection of code. In traditional systems a secure element (the "dongle") is used to protect software. However, this approach suffers from several technical and economical drawbacks such as the dongle being lost or broken.
We present a system that provides such dongles as a cloud service, and more importantly, provides the required cryptographic material to control access to software functionality in real-time.
This system is developed as part of an ongoing nationally funded research project and is now entering a first trial stage with stakeholders from different industrial sectors.
Classification of TRIZ Inventive Principles and Sub-Principles for Process Engineering Problems
(2019)
The paper proposes a classification approach of 40 Inventive Principles with an extended set of 160 sub-principles for process engineering, based on a thorough analysis of 155 process intensification technologies, 200 patent documents, 6 industrial case studies applying TRIZ, and other sources. The authors define problem-specific sub-principles groups as a more precise and productive ideation technique, adaptable for a large diversity of problem situations, and finally, examine the anticipated variety of ideation using 160 sub-principles with the help of MATCEM-IBD fields.
Besides of conventional CAD systems, new, cloud-based CAD systems have also been available for some years. These CAD systems designed according to the principle of software as a service (SaaS) differ in some important features from the conventional CAD systems. Thus, these CAD systems are operated via a browser and it is not necessary to install the software on a computer. The CAD-data is stored in the cloud and not on a local computer or central server. This new approach should also facilitate the sharing and management of data. Finally, many of these new CAD systems are available as freeware for education purposes, so the universities can save license costs. This contribution examines newly developed, cloud-based CAD systems. In the context of a case study, the application of these new CAD systems are investigated in the training of engineers in design education. Thus, the students compare a conventional and a cloud-based CAD system as part of an exercise of designing and 3D modelling of a pinion shaft. Subsequently, the students manufacture a drawing with different views of the pinion shaft. This assessment evaluates different criteria such as user-friendliness, tutorial support and installation effort.
Brückenkurs Physik
(2019)
Dieses Lehrbuch fasst alle wesentlichen, für das Studium eines MINT-Faches relevanten Inhalte der Physik zusammen und hilft physikalisches Grundwissen aufzufrischen. Es unterstützt Studienanfänger dabei, die Routine in der konkreten Anwendung, die an der Hochschule vorausgesetzt wird, zu festigen. Dabei folgt die Stoffauswahl dem Mindestanforderungskatalog Physik, den ein Arbeitskreis aus Professoren der baden-württembergischen Hochschulen für angewandte Wissenschaften zusammengestellt hat.
Wer sich als Pädagoge und Wissenschaftler mit dem Thema „Digitalisierung und Schule“ befasst, stellt fest, dass nur Wenige die Tragweite der beabsichtigten Transformation von Bildungseinrichtungen zu automatisierten, algorithmisch gesteuerten Lernfabriken realisieren. Dabei wird übersehen, dass mit Theorien und empirischen Modellen wie der „datengestützten Schulentwicklung“ und „Learning Analytics“ grundlegende Paradigmenwechsel verbunden sind, die das humane wie das christliche Menschenbild erschüttern. Mit Kybernetik und Behaviorismus auf der einen, mit der sogenannten „Künstlichen Intelligenz“ (KI) und darauf aufbauenden Geschäftsmodellen der Datenökonomie auf der anderen Seite, untergraben diese Beschulungsmodelle die Autonomie, das Selbstbestimmungsrecht und die Handlungsfreiheit des Menschen. Vertreter dieser Disziplinen behaupten, dass sowohl der einzelne Mensch wie Sozialgemeinschaften wie Maschinen programmiert und gesteuert werden können. Sie blenden aus, dass Mündigkeit und Selbstverantwortung das Ziel von Schule und Unterricht sind, nicht maschinell berechnete Verhaltenssteuerung und -manipulation. Diese Fehlentwicklungen sind nicht der Technik an sich geschuldet, die sich anders einsetzen ließe, sondern den Geschäftsmodellen der IT-Anbieter.
Angesichts des verschärften intermedialen Wettbewerbs stellt sich die Frage, wie Medienunternehmen und Verlage künftig mit ihren Print- und Digitalangeboten den Bedürfnissen ihrer Kunden gerecht werden können. Es geht dabei um die Möglichkeiten, mit Abonnementangeboten und Bundles News und journalistische Inhalte aufzubereiten und so anzubieten, dass sie einen maximalen Nutzen stiften und marktfähig sind.
In many application domains, in particular automotives, guaranteeing a very low failure rate is crucial to meet functional and safety standards. Especially, reliable operation of memory components such as SRAM cells is of essential importance. Due to aggressive technology downscaling, process and runtime variations significantly impact manufacturing yield as well as functionality. For this reason, a thorough memory failure rate assessment is imperative for correct circuit operation and yield improvement. In this regard, Monte Carlo simulations have been used as the conventional method to estimate the variability induced failure rate of memory components. However, Monte Carlo methods become infeasible when estimating rare events such as high-sigma failure rates. To this end, Importance Sampling methods have been proposed which reduce the number of required simulations substantially. However, existing methods still suffer from inaccuracies and high computational efforts, in particular for high-sigma problems. In this paper, we fill this gap by presenting an efficient mixture Importance Sampling approach based on Bayesian optimization, which deploys a surface model of the objective function to find the most probable failure points. Its advantages include constant complexity independent of the dimensions of design space, the potential to find the global extrema, and higher trustworthiness of the estimated failure rate by accurately exploring the design space. The approach is evaluated on a 6T-SRAM cell as well as a master-slave latch based on a 28nm FDSOI process. The results show an improvement in accuracy, resulting in up to 63× better accuracy in estimating failure rates compared to the best state-of-the-art solutions on a 28nm technology node.
Medical devices accompany our everyday life and come across in situations of worse condition, in significant moments concerning the health or during routine checkups. To ensure flawless operations and error-free results it is essential to test applications and devices. High risks for patient’s health come with operating errors [33] so that the presented research project, called Professional UX, identifies signals and irritations caused by the interaction with a certain device by analyzing mimic, voice and eye tracking data during user experience tests. Besides, this paper will provide information on typical errors of interactive applications which are based on an empirical lab-based survey and the evaluated results achieved. The pictured proceeding of user experience tests and the following analysis can also be applied to other fields and serves as a support for the optimization of products and systems.
Die erste Auflage von "Ausführung von Stahlbauten" wurde – trotz ihres erheblichen Umfangs – zu einem sehr beliebten Nachschlagewerk und unverzichtbaren Praxishelfer in vielen Bereichen des Stahlbaus. Nachdem die Normen, auf die sich die erste Auflage bezieht, grundlegend überarbeitet wurden, entstand mit dem hier vorliegenden Buch auch eine aktualisierte Nachfolgeausgabe der Kommentare. Das Werk profitiert davon, dass es von den im Normungsausschuss federführenden Spezialisten ausgearbeitet wurde: Die Autoren liefern also zuverlässig die korrekten Interpretationen der Normentexte. Damit ist auch diese zweite Auflage von "Ausführung von Stahlbauten" eine gute Wahl, um mit den Normen DIN EN 1090-2 und DIN EN 1090-4 sicher und professionell arbeiten zu können. Da sich die Norm DIN EN 1090-1 aktuell in Überarbeitung befindet, ist diese nicht Teil der zweiten Auflage der Stahlbauten-Kommentare.
We present our twenty years of experience in the live broadcasting of astronomical events, with the main focus on total lunar eclipses. Our efforts were motivated by the great impact and high number of viewers of these events. Visitors from over a hundred countries watched our live broadcasts. Our viewer record was set on July 27, 2018, with the live transmission of the total lunar eclipse from the Feldberg, the highest mountain in the Black Forest, attracting nearly half a million viewers in five hours.
An especially challenging activity was the live observing of the Mercury transit on 9 May 2016, which we presented as ‘live astronomy’ with hands-on telescope. The main goal of this event was to awake our students enthusiasm for optics and astronomy.
Furthermore, we report on our experiences with the photography of optical phenomena such as polar lights and green flash.
The TriRhenaTech alliance universities and their partners presented their competences in the field of artificial intelligence and their cross-border cooperations with the industry at the tri-national conference 'Artificial Intelligence : from Research to Application' on March 13th, 2019 in Offenburg. The TriRhenaTech alliance is a network of universities in the Upper Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, and Offenburg, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes écoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.
More than 200 years ago, the scientist Alexander von Humboldt noted in his travel diaries that "everything is interconnectedness", when he was fascinated by nature and the phenomena observed. The view of nature has become much more detailed through the knowledge of phenomena and natural processes, which led to a more precise view of nature shaped by Humboldt. Technological progress and the artificial intelligence of highly developed computer systems are upsetting this view and changing the established world view through a new, unprecedented interaction between man and machinery. Thus we need digital axioms and comprehensive rules and laws for such autonomous acting systems that determine human interaction between cybernetic systems and biological individuals. This digital humanism should encompass our relationship to nature, our handling of the complexity and diversity of nature and the technological influences on society in order to avoid technical colonialism through supercomputers.
Art and Photonics
(2019)
In this paper we report on our continuous efforts to apply optics and photonics in art. This results in interdisciplinary projects which sometimes lead to concrete art installations.
We presented some of these projects at the UNESCO headquarters in Paris, at the opening ceremony of the International Year of Light and the inaugural ceremony of the International Day of Light.
Some newer projects, such as “A Maze: Ingenious Pipes” and “The Power of Your Eyes,” are also presented in this paper.
Apache Hadoop is a well-known open-source framework for storing and processing huge amounts of data. This paper shows the usage of the framework within a project of the university in cooperation with a semiconductor company. The goal of this project was to supplement the existing data landscape by the facilities of storing and analyzing the data on a new Apache Hadoop based platform.
Synergieprognosen spielen bei der Begründung von Unternehmensübernahmen regelmäßig eine wichtige Rolle. Da diese Prognosen unsicher sind, bedürfen sie einer fundierten Beurteilung, was wiederum eine offene Diskussion innerhalb von Vorstand und Aufsichtsrat voraussetzt. Solche Diskussionen sind jedoch keine Selbstverständlichkeit, da Gruppen dazu neigen, problematische Entscheidungsaspekte nicht angemessen zu würdigen. Mit dem Tornado-Diagramm wird ein Instrument vorgestellt, das diesem Effekt entgegenwirkt und die Entscheider dazu motiviert, auch ungünstige Synergieprognosen zu diskutieren. Auf diese Weise kann die Übernahmeentscheidung auf eine bessere Informationsgrundlage gestellt werden.
What emotional effects does gamification have on users who work or learn with repetitive tasks? In this work, we use biosignals to analyze these affective effects of gamification. After a brief discussion of related work, we describe the implementation of an assistive system augmenting work by projecting elements for guidance and gamification. We also show how this system can be extended to analyse users' emotions. In a user study, we analyse both biosignals (facial expressions and electrodermal activity), and regular performance measures (error rate and task completion time).
For the performance measures, the results confirm known effects like increased speed and slightly increased error rate. In addition, the analysis of the biosignals provides strong evidence for two major affective effects: the gamification of work and learning tasks incites highly significantly more positive emotions and increases emotionality altogether. The results add to the design of assistive systems, which are aware of the physical as well as the affective context.
The fast and cost-effective manufacturing of tools for thermoforming is an essential requirement to shorten the development time of products. Thus, additive processes are used increasingly in tooling for thermoforming of plastic sheets. However, a disadvantage of many additive methods is that they are highly cost-intensive, since complex systems based on laser technology and expensive metal powders are needed. Therefore, this paper examines how to work with favorable additive methods, e.g. Binder Jetting, to manufacture tools, which provide sufficient strength for thermoforming. The use of comparatively low-priced inkjet technology for the layer construction and a polymer plaster as material can be expected to result in significant cost reductions. Based on a case study using a cowling (engine bonnet) for an Unmanned Aerial Vehicle (UAV), the development of a complex tool for thermoforming is demonstrated. The object in this study is to produce a tool for a complex-shaped component in small numbers and high quality in a short time and at reasonable costs. Within the tooling process, integrated vacuum channels are implemented in additive tooling without the need for additional post-processing (for example, drilling). In addition, special technical challenges, such as the demolding of undercuts or the parting of the tool are explained. All process steps from tool design to the use of the additively manufactured tool are analyzed. Based on the manufacturing of a small series of cowlings for a UAV made of plastic sheets (ABS), it is shown, that the Binder Jetting offers sufficient mechanical and thermal strength for additive tooling. In addition, an economic evaluation of the tool manufacturing and a detailed consideration of the required manufacturing times for the different process steps are carried out. Finally, a comparison is made with conventional and alternative additive methods of tooling.
Robots and automata are key elements of every vision and forecast of life in the near and distant future. However, robots and automata also have a long history, which reaches back into antiquity. Today most historians think that one of the key roles of robots and automata was to amaze or even terrify the audience: They were designed to express something mythical, magical, and not explainable. Moreover, the visions of robots and their envisioned fields of application reflect the different societies. Therefore, this short history of robotics and (especially) anthropomorphic automata aims to give an overview of several historical periods and their perspective on the topic. In a second step, this work aims to encourage readers to reflect on the recent discussion about fields of application as well as the role of robotics today and in the future.
Many sectors, like finance, medicine, manufacturing, and education, use blockchain applications to profit from the unique bundle of characteristics of this technology. Blockchain technology (BT) promises benefits in trustability, collaboration, organization, identification, credibility, and transparency. In this paper, we conduct an analysis in which we show how open science can benefit from this technology and its properties. For this, we determined the requirements of an open science ecosystem and compared them with the characteristics of BT to prove that the technology suits as an infrastructure. We also review literature and promising blockchain-based projects for open science to describe the current research situation. To this end, we examine the projects in particular for their relevance and contribution to open science and categorize them afterwards according to their primary purpose. Several of them already provide functionalities that can have a positive impact on current research workflows. So, BT offers promising possibilities for its use in science, but why is it then not used on a large-scale in that area? To answer this question, we point out various shortcomings, challenges, unanswered questions, and research potentials that we found in the literature and identified during our analysis. These topics shall serve as starting points for future research to foster the BT for open science and beyond, especially in the long-term.
A Novel Approach of High Dynamic Current Control of Interior Permanent Magnet Synchronous Machines
(2019)
Harmonic-afflicted effects of permanent magnet synchronous machines with high power density are hardly faced by traditional current PI controllers, due to limited controller bandwidth. As a consequence, currents and lastly torque ripples appear. In this paper, a new deadbeat current controller architecture has been presented, which is capable to encounter the effects of these harmonics. This new control algorithm, here named “Hybrid-Deadbeat-Controller”, combines the stability and the low steady-state errors offered by common PI regulators with the high dynamic offered by the deadbeat control. Therefore, a novel control algorithm is proposed, capable of either compensating the current harmonics in order to get smoother currents or to control a varying reference value to achieve a smoother torque. The information needed to calculate the optimal reference currents is based on an online parameter estimation feeding an optimization algorithm to achieve an optimal torque output and will be investigated in future research. In order to ensure the stability of the controller over the whole area of operation even under the influence of effects changing the system’s parameter, this work as well focusses on the robustness of the “hybrid” dead beat controller.
This paper presents the use of model predictive control (MPC) based approach for peak shaving application of a battery in a Photovoltaic (PV) battery system connected to a rural low voltage gird. The goals of the MPC are to shave the peaks in the PV feed-in and the grid power consumption and at the same time maximize the use of the battery. The benefit to the prosumer is from the maximum use of the self-produced electricity. The benefit to the grid is from the reduced peaks in the PV feed-in and the grid power consumption. This would allow an increase in the PV hosting and the load hosting capacity of the grid.
The paper presents the mathematical formulation of the optimal control problem
along with the cost benefit analysis. The MPC implementation scheme in the
laboratory and experiment results have also been presented. The results show
that the MPC is able to track the deviation in the weather forecast and operate
the battery by solving the optimal control problem to handle this deviation.