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This work introduces new signal constellations based on Eisenstein integers, i.e., the hexagonal lattice. These sets of Eisenstein integers have a cardinality which is an integer power of three. They are proposed as signal constellations for representation in the equivalent complex baseband model, especially for applications like physical-layer network coding or MIMO transmission where the constellation is required to be a subset of a lattice. It is shown that these constellations form additive groups where the addition over the complex plane corresponds to the addition with carry over ternary Galois fields. A ternary set partitioning is derived that enables multilevel coding based on ternary error-correcting codes. In the subsets, this partitioning achieves a gain of 4.77 dB, which results from an increased minimum squared Euclidean distance of the signal points. Furthermore, the constellation-constrained capacities over the AWGN channel and the related level capacities in case of ternary multilevel coding are investigated. Simulation results for multilevel coding based on ternary LDPC codes are presented which show that a performance close to the constellation-constrained capacities can be achieved.
In the field of autonomously driving vehicles the environment perception containing dynamic objects like other road users is essential. Especially, detecting other vehicles in the road traffic using sensor data is of utmost importance. As the sensor data and the applied system model for the objects of interest are noise corrupted, a filter algorithm must be used to track moving objects. Using LIDAR sensors one object gives rise to more than one measurement per time step and is therefore called extended object. This allows to jointly estimate the objects, position, as well as its orientation, extension and shape. Estimating an arbitrary shaped object comes with a higher computational effort than estimating the shape of an object that can be approximated using a basic geometrical shape like an ellipse or a rectangle. In the case of a vehicle, assuming a rectangular shape is an accurate assumption.
A recently developed approach models the contour of a vehicle as periodic B-spline function. This representation is an easy to use tool, as the contour can be specified by some basis points in Cartesian coordinates. Also rotating, scaling and moving the contour is easy to handle using a spline contour. This contour model can be used to develop a measurement model for extended objects, that can be integrated into a tracking filter. Another approach modeling the shape of a vehicle is the so-called bounding box that represents the shape as rectangle.
In this thesis the basics of single, multi and extended object tracking, as well as the basics of B-spline functions are addressed. Afterwards, the spline measurement model is established in detail and integrated into an extended Kalman filter to track a single extended object. An implementation of the resulting algorithm is compared with the rectangular shape estimator. The implementation of the rectangular shape estimator is provided. The comparison is done using long-term considerations with Monte Carlo simulations and by analyzing the results of a single run. Therefore, both algorithms are applied to the same measurements. The measurements are generated using an artificial LIDAR sensor in a simulation environment.
In a real-world tracking scenario detecting several extended objects and measurements that do not originate from a real object, named clutter measurements, is possible. Also, the sudden appearance and disappearance of an object is possible. A filter framework investigated in recent years that can handle tracking multiple objects in a cluttered environment is a random finite set based approach. The idea of random finite sets and its use in a tracking filter is recapped in this thesis. Afterwards, the spline measurement model is included in a multi extended object tracking framework. An implementation of the resulting filter is investigated in a long-term consideration using Monte Carlo simulations and by analyzing the results of a single run. The multi extended object filter is also applied to artificial LIDAR measurements generated in a simulation environment.
The results of comparing the spline based and rectangular based extended object trackers show a more stable performance of the spline extended object tracker. Also, some problems that have to be addressed in future works are discussed. The investigation of the resulting multi extended object tracker shows a successful integration of the spline measurement model in a multi extended object tracker. Also, with these results some problems remain, that have to be solved in future works.
The computational complexity of the optimal maximum likelihood (ML) detector for spatial modulation increases rapidly as more transmit antennas or larger modulation orders are employed. Hence, ML detection may be infeasible for higher bit rates. This work proposes an improved suboptimal detection algorithm based on the Gaussian approximation method. It is demonstrated that the new method is closely related to the previously published signal vector based detection and the modified maximum ratio combiner, but can improve the detection performance compared to these methods. Furthermore, the performance of different signal constellations with suboptimal detection is investigated. Simulation results indicate that the performance loss compared to ML detection depends heavily on the signal constellation, where the recently proposed Eisenstein integer constellations are beneficial compared to classical QAM or PSK constellations.
Dramapädagogik-Tage 2018
(2019)
Der Tagungsband zur 4. Konferenz zu Drama und Theater im Fremd- und Zweitsprachenunterricht versammelt Tagungsbeiträge aus den Bereichen Grundlagen, Forschung und Praxis. Die Beiträge reichen von Begriffsklärungen zur Dramapädagogik über Skizzen aktueller Forschungprojekte hin zu Praxisbeiträgen zu den Themen Process Drama und interkulturelles Lernen, Körpersprache und Fremdsprachenlernen, Fremdsprachenlernen mit Gedichten, reflektiver Praxis, Drama Grammatik und performativer Literatur- und Kulturdidaktik.
This document presents an algorithm for a non-obtrusive recognition of Sleep/Wake states using signals derived from ECG, respiration, and body movement captured while lying in a bed. As a core mathematical base of system data analytics, multinomial logistic regression techniques were chosen. Derived parameters of the three signals are used as the input for the proposed method. The overall achieved accuracy rate is 84% for Wake/Sleep stages, with Cohen’s kappa value 0.46. The presented algorithm should support experts in analyzing sleep quality in more detail. The results confirm the potential of this method and disclose several ways for its improvement.
Angesichts der aktuellen höchstrichterlichen Rechtsprechung ist der betagte oder sonst hinfällige, auf Geldentschädigung klagende Verletzte gezwungen, in Rechtsmittelüberlegungen sein nahendes Ableben als erhebliches Prozessrisiko mit einzubeziehen. Das führt zu einer beträchtlichen Schmälerung der ideellen Bestandteile seines Persönlichkeitsrechts. Es ist daher dringend geboten, im Wege der richterlichen Rechtsfortbildung Kriterien für Ausnahmefallgruppen aufzustellen, um untragbare Härtefälle künftig verlässlich auszuschließen.
Die Massai greifen seit einiger Zeit international agierende Modehäuser an. Unstatthafte kulturelle Aneignung, so lautet der Vorwurf. Die Volksgruppe will die Unternehmen nun mit ihren eigenen Waffen schlagen. Sie plant, ihre kulturellen Zeichen zu kommodifizieren. Wer das vorhat, ist mit dem Eintritt ins internationale Marktgeschehen zwangsläufig denselben Regeln unterworfen wie alle anderen Marktteilnehmer auch. Das heißt: Ohne solide Ausschließlichkeitsrechte werden die Massai von möglichen Verhandlungspartnern als potentielle Lizenzgeber erwartungsgemäß nicht ernst genommen werden. Auch läuft die afrikanische Volkgsruppe Gefahr, dass die kulturell-historische Bedeutung ihrer Zeichen im Wege eines kommerziellen Einsatzes überschrieben oder im schlimmsten Fall sogar umgedeutet wird.
Bürgerliches Recht
(2019)
Die neunte Auflage deckt die wesentlichen Inhalte des zivilrechtlichen Lehrstoffes ab. Es werden in kompakter Form der Allgemeine Teil des BGB, das (Allgemeine und Besondere) Schuldrecht sowie das Sachenrecht dargestellt. Vervollständigt wird dieses Buch mit einem abschließenden Kapitel zum Zivilprozessrecht. Geschult werden das Verständnis für die Strukturen und Zusammenhänge im Bürgerlichen Recht und das Verständnis für die Verbindungen mit dem Zivilprozessrecht. Eine Vielzahl von Beispielen aus der Praxis, einprägsame Illustrationen, zahlreiche Schemata und Fälle mit Lösungsvorschlägen ermöglichen damit gleichzeitig auch ein anwendungsorientiertes bzw. fallorientiertes Lernen. Seine inhaltliche Kompaktheit macht es so zu einem idealen studienbegleitenden Lehrbuch für Studierende an Universitäten, Hochschulen, Berufsakademien und anderen Bildungseinrichtungen.
Why does a teacher use drama elements in her language classes? This article critically reflects on the author's experiences with employing drama elements in a compulsory class of German as a Foreign Language at college level. Motives for using drama are discussed, with regard to possible positive effects for the teacher-such as rapport with learners and personal confidence-and potential benefits for the language learners-such as promoting vocabulary and grammar learning, fostering oral skills and increasing motivation. After that the drama activities used in class are briefly described. However, two years of experimentation have also shown up a number of problems with implementing drama elements in class and still leave questions open, requiring further iterations of the drama-based approach in this context. The paper was developed from a talk given at the Drama in Education Days in Konstanz 2018.
In this paper, the problem of controlling the dissolved oxygen level (DO) during an aerobic fermentation is considered. The proposed approach deals with three major difficulties in respect to the nonlinear dynamics of the DO, the poor accuracy of the empirical models for the oxygen consumption rate and the fact that only sampled measurements are available on-line. A nonlinear integral high-gain control law including a continuous-discrete time observer is designed to keep the DO in the neighborhood of a set point value without any knowledge on the dissolved oxygen consumption rate. The local stability of the control algorithm is proved using Lyapunov tools. The performance of the control scheme is first analyzed in simulation and then experimentally evaluated during a successfull fermentation of the bacteria over a period of three days. Pseudomonas putida mt-2
A significant proportion of road traffic accidents are due to inattentiveness or fatigue at the wheel. Approaches to monitoring the driver's condition range from eye tracking and driving behavior analysis to yawn and blink detection and ECG measurement. This work describes the development of a mobile system for the measurement and processing of ECG data. The aim of the signal processing is to quantify the driver’s fatigue with the heartrate variability (HRV). The work includes the hardware and software design of the sensor. First, the development of low-noise electronics including AD conversion is described. Then the software signal processing with QRS complex detection and plotting front end is explained. The resulting sensor is compact, low-cost and provides a good signal for HRV extraction.
While existing resource extraction debates have contributed to a better understanding of national economic and political dilemmas and institutional responses, there are flaws in understanding the specific relevance of the various types of mining schemes for rural households to deal with the various problems they are confronted with. Our paper examines the perceptions of gold mining effects on households in Northern Burkina Faso. The findings of our survey across six districts representing different mining schemes (industrial, artisanal, no mining) highlight the fact that artisanal gold mining can generate job opportunities and cash income for local households; whereas industrial gold mining widely fails to do so. However, the general economic and environmental settings exert a much stronger influence on the household state. Gold mining effects are perceived as being less advantageous in districts where people are suffering from a lack of education, a higher vulnerability to drought and poor market access. Our findings provide empirical support for those who back the enhanced formalization of artisanal and small-scale mining (ASM) and policies that entail more rigorous state monitoring of mining concessions, especially in economic and environmentally disadvantaged contexts. Effectively addressing communal and pro-poor development requires greater attention to the political economy of ASM and corporate mining. It also calls for a greater inclusion of local mining stakeholders and a more effective alignment of international regulatory and advocacy efforts.
At the University of Applied Sciences Konstanz, Germany, a modern electronically controlled dynamometer and several cars are available for tests. Numerous studies have been carried out, and the latest results will be presented. The paper is intended to explain different tests under load. One focus is the driving cycle WLTC (Worldwide harmonized Light vehicles Test Cycle) and the requirements for the proper conduct of investigation with this driving cycle. Two and three wheelers have a great importance for mobility in various Asian countries. But also in other countries, this segment is very important for the so-called First or Last Mile Vehicles. Because of this, a short explanation of the driving cycle WMTC (Worldwide harmonized Motorcycle Emissions Certification/Test Procedure) is given. The various possibilities for the operation of the dynamometer and for carrying out various experiments are shown.
Other important figures that can be determined on a dynamometer are the wheel power, the power losses and eventually the engine performance. With the brake specific torque, the traction force at the propelled wheels, the maximum acceleration or maximum gradeability of a car can be determined.
As well the slippage related to load can be measured on the dynamometer. The dynamic wheel radius of the driven wheels has a significant influence on the slippage. Because of the temperature increase of the tires during the tests the tire pressure increases. A rise of tire temperature, tire pressure, and wheel speed results in an increase of the dynamic wheel radius and slippage. Equations for the determination of the dynamic wheel radius are presented.
Today, many resource-constrained systems, such as embedded systems, still rely on symmetric cryptography for authentication and digital signatures. Asymmetric cryptography provide a higher security level, but software implementations of public-key algorithms on small embedded systems are extremely slow. Hence, such embedded systems require hardware assistance, i.e. crypto coprocessors optimized for public key operations. Many such coprocessor designs aim on high computational performance. In this work, an area efficient elliptic curve cryptography (ECC) coprocessor is presented for applications in small embedded systems where high performance coprocessors are too costly. We propose a simple control unit with a small instruction set that supports different ECC point multiplication (PM) algorithms. The control unit reduces the logic and number of registers compared with other implementations of ECC point multiplications.
It is well known that signal constellations which are based on a hexagonal grid, so-called Eisenstein constellations, exhibit a performance gain over conventional QAM ones. This benefit is realized by a packing and shaping gain of the Eisenstein (hexagonal) integers in comparison to the Gaussian (complex) integers. Such constellations are especially relevant in transmission schemes that utilize lattice structures, e.g., in MIMO communications. However, for coded modulation, the straightforward approach is to combine Eisenstein constellations with ternary channel codes. In this paper, a multilevel-coding approach is proposed where encoding and multistage decoding can directly be performed with state-of-the-art binary channel codes. An associated mapping and a binary set partitioning are derived. The performance of the proposed approach is contrasted to classical multilevel coding over QAM constellations. To this end, both the single-user AWGN scenario and the (multiuser) MIMO broadcast scenario using lattice-reduction-aided preequalization are considered. Results obtained from numerical simulations with LDPC codes complement the theoretical aspects.
This paper presents a new likelihood-based partitioning method of the measurement set for the extended object probability hypothesis density (PHD) filter framework. Recent work has mostly relied on heuristic partitioning methods that cluster the measurement data based on a distance measure between the single measurements. This can lead to poor filter performance if the tracked extended objects are closely spaced. The proposed method called Stochastic Partitioning (StP) is based on sampling methods and was inspired by a former work of Granström et. al. In this work, the StP method is applied to a Gaussian inverse Wishart (GIW) PHD filter and compared to a second filter implementation that uses the heuristic Distance Partitioning (DP) method. The performance is evaluated in Monte Carlo simulations in a scenario where two objects approach each other. It is shown that the sampling based StP method leads to an improved filter performance compared to DP.
Assistive environments are entering our homes faster than ever. However, there are still various barriers to be broken. One of the crucial points is a personalization of offered services and integration of assistive technologies in common objects and therefore in a regular daily routine. Recognition of sleep patterns for the preliminary sleep study is one of the health services that could be performed in an undisturbing way. This article proposes the hardware system for the measurement of bio-vital signals necessary for initial sleep study in a non-obtrusive way. The first results confirm the potential of measurement of breathing and movement signals with the proposed system.
Due to the rising need for palliative care in Russia, it is crucial to provide timely and high-quality solutions for patients, relatives, and caregivers. A methodology for remote monitoring of patients in need of palliative care and the requirements will be developed for a hardware-software complex for remote monitoring of patients' health at home.
Extracting suitable features from acquired data to accurately depict the current health state of a system is crucial in data driven condition monitoring and prediction. Usually, analogue sensor data is sampled at rates far exceeding the Nyquist-rate containing substantial amounts of redundancies and noise, imposing high computational loads due to the subsequent and necessary feature processing chain (generation, dimensionality reduction, rating and selection). To overcome these problems, Compressed Sensing can be used to sample directly to a compressed space, provided the signal at hand and the employed compression/measurement system meet certain criteria. Theory states, that during this compression step enough information is conserved, such that a reconstruction of the original signal is possible with high probability. The proposed approach however does not rely on reconstructed data for condition monitoring purposes, but uses directly the compressed signal representation as feature vector. It is hence assumed that enough information is conveyed by the compression for condition monitoring purposes. To fuse the compressed coefficients into one health index that can be used as input for remaining useful life prediction algorithms and is limited to a reasonable range between 1 and 0, a logistic regression approach is used. Run-to-failure data of three translational electromagnetic actuators is used to demonstrate the health index generation procedure. A comparison to the time domain ground truth signals obtained from Nyquist sampled coil current measurements shows reasonable agreement. I.e. underlying wear-out phenomena can be reproduced by the proposed approach enabling further investigation of the application of prognostic methods.
Autism spectrum disorders (ASD) affect a large number of children both in the Russian Federation and in Germany. Early diagnosis is key for these children, because the sooner parents notice such disorders in a child and the rehabilitation and treatment program starts, the higher the likelihood of his social adaptation. The difficulties in raising such a child lie in the complexity of his learning outside of children's groups and the complexity of his medical care. In this regard, the development of digital applications that facilitate medical care and education of such children at home is important and relevant. The purpose of the project is to improve the availability and quality of healthcare and social adaptation at home of children with ASD through the use of digital technologies.
A growing share of modern trade policy instruments is shaped by non-tariff barriers (NTBs). Based on a structural gravity equation and the recently updated Global Trade Alert database, we empirically investigate the effect of NTBs on imports. Our analysis reveals that the implementation of NTBs reduces imports of affected products by up to 12%. Their trade dampening effect is thus comparable to that of trade defence instruments such as anti-dumping duties. It is smaller for exporters that have a free trade agreement with the importing country. Different types of NTBs affect trade to a different extent. Finally, we investigate the effect of behind-the-border measures, showing that they significantly lower the importer’s market access.
The investigation of stress requires to distinguish between stress caused by physical activity and stress that is caused by psychosocial factors. The behaviour of the heart in response to stress and physical activity is very similar in case the set of monitored parameters is reduced to one. Currently, the differentiation remains difficult and methods which only use the heart rate are not able to differentiate between stress and physical activity, without using additional sensor data input. The approach focusses on methods which generate signals providing characteristics that are useful for detecting stress, physical activity, no activity and relaxation.
Nachhaltigkeit stellt seit 2018 einen der bedeutsamsten Trends in der Modeindustrie da. Die Missstände innerhalb der Textil- und Bekleidungsindustrie wurden seit dem Einsturz einer Textilfabrik in Bangladesch im Jahre 2013 zu einer öffentlichen Diskussion. Die global ausgerichtete Industrie produziert vermehrt Textilien in kürzester Zeit, um beständig das Angebot an aktuellen Modetrends anbieten zu können. Die sogenannte Fast-Fashion wird von großen Markenkonzernen wie ZARA und Hennes & Mauritz (H&M) zu niedrigen Preisen der breiten Masse zugänglich gemacht. Sie wird als einer der größten Gründe für Überkonsum von Bekleidung und sinkender Wertschätzung dieser Waren bezeichnet. Die Gegenbewegung Slow-Fashion möchte hingegen die Konsumenten davon überzeugen, ihre Bekleidung wieder wertzuschätzen. Slow-Fashion steht für Bekleidung, die unter umweltverträglichen und menschenwürdigen Bedingungen produziert wird. Durch die Gewährleistung von Transparenz hinsichtlich der Produktionsbedingungen und Lieferketten ermöglicht Slow-Fashion einen bewussteren Konsum von Mode.
Durch Slow-Fashion kann die Integration von Nachhaltigkeit in die Bekleidungsindustrie als einen Modetrend des vergangenen Jahres angesehen werden. Allerdings verstehen nachhaltige Bekleidungsmarken Slow-Fashion nicht als zeitgemäßen Trend, sondern vielmehr als Grundbedingung ihrer angebotenen Waren. Dieses Prinzip lässt sich auf Marken sämtlicher Branchen übertragen, sodass sie als ‚nachhaltige Marken‘ tituliert werden könnten. Bislang mangelt es allerdings an einer einheitlichen Definition für nachhaltige Marken. Das Ziel dieser Arbeit ist daher die Erarbeitung eines Definitionsvorschlags. Dabei muss die Bedeutung von Marken und das Prinzip der Nachhaltigkeit voneinander isoliert erörtert werden. Anschließend soll die Schuhmarke ZWEIGUT, die als ein Beispiel aus der Bekleidungsindustrie dient, daraufhin überprüft werden, ob sie dem Anspruch der ausgearbeiteten Definition einer nachhaltigen Marke gerecht wird. Im Laufe dieser Markenanalyse sollen zugleich die Erfolgsbausteine der Marke ZWEIGUT bestimmt werden.
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.
The goal of this paper pretends to show how a bed system with an embedded system with sensor is able to analyze a person’s movement, breathing and recognizing the positions that the subject is lying on the bed during the night without any additional physical contact. The measurements are performed with sensors placed between the mattress and the frame. An Intel Edison board was used as an endpoint that served as a communication node from the mesh network to external service. Two nodes and Intel Edison are attached to the bottom of the bed frame and they are connected to the sensors.
Compliance Management ist längst zu einem Thema in mittelständischen Unternehmen geworden. Aber was ist der richtige Ansatz, um Regeleinhaltung, Rechtschaffenheit und verantwortliches Wirtschaften als Unternehmer oder Unternehmenslenker wirksam und effizient zu organisieren? Welche Rolle spielen die Führungskräfte? Ausgehend von der Frage, was ein mittelständisch geprägtes Unternehmen im Bereich der Compliance tun kann und soll und dem dazu gehörenden Compliance Management System, wird in diesem Beitrag knapp umrissen, worauf es bei der Implementierung und Umsetzung von Maßnahmen im Unternehmensalltag besonders ankommt. Dabei wird der Schulung der Führungskräfte mittels qualitativ hochwertiger Dilemma-Trainings ein ebenso hoher Stellenwert eingeräumt, wie der auch dadurch sukzessive zu entwickelnden ethischen Unternehmenskultur.
Low temperature carburizing of a series of austenitic stainless with various combinations of chromium and nickel equivalents was performed. The investigation of the response towards low temperature carburized for three stainless steels with various Cr- and Ni-equivalents showed that the carbon uptake depends significantly on the chemical composition of the base material. The higher carbon content in the expanded austenite layer of specimen 6 (1.4565) and specimen 4 (1.4539/AISI 904L) compared to specimen 2 (1.4404/AISI 316L) is assumed to be mainly related to the difference in the specimens’ chromium content. More chromium leads to more lattice expansion. Along with the higher carbon content, higher hardness values and higher compressive residual stresses in the expanded austenite zone are introduced than for low temperature carburized AISI 316L. The residual stresses obtained from X-ray diffraction lattice strain investigation depend strongly on the chosen X-ray elastic constants. Presently, no values are known for carbon (or nitrogen) stabilized expanded austenite. Nevertheless, first principle elastic constants for γ′&minus Fe4C appear to provide realistic residual stress values. Magnetic force microscopy and measurement with an eddy current probe indicate that austenitic stainless steels can become ferromagnetic upon carburizing, similar for low temperature nitriding. The apparent transition from para- to ferromagnetism cannot be attributed entirely to the interstitially dissolved carbon content in the formed expanded austenite layer but appears to depend also on the metallic composition of the alloy, in particular the Ni content.
Das Potential der Offshore-Windenergie, welches hauptsächlich auf hohe mittlere Windgeschwindigkeiten zurückzuführen ist, kann nicht ignoriert werden. Trotzdem zeigt die Betrachtung der aktuell installierten Leistung und der Stromgestehungskosten, dass zusätzliche Risiko- und Kostenfaktoren existieren. Diese sind vor allem auf die Installation, die Energiewandlersysteme und die Netzanbindung zurückzuführen. Getriebeschäden sind einer dieser großen Kostenfaktoren. Aus diesem Grund gewinnen getriebelosen Windkraftanlagen mit permanentmagneterregten Synchrongeneratoren immer mehr an Relevanz. In der Netzanbindung von ganzen Offshore-Windparks überwiegt die Hochspannungs-Gleichstrom-Übertragung (HGÜ) ab einer Übertragungsdistanz von 80 km. Diese Tendenz ist sinkend. Steigende windparkinterne Spannungen auf 66 kV fördern zusätzlich den Verzicht auf Umspannplattformen, welche für die HGÜ-Technik aktuell sinnvoll sind. Diese und weitere bereits in Aussicht stehenden Entwicklungen führen zu einer Einschränkung der Risiko- und Kostenfaktoren. Es wird demnach davon ausgegangen, dass die Offshore-Windenergie, als Ergänzung zur Onshore-Windenergie, eine wichtige Rolle im Rahmen der Energiewende einnimmt.
The number of home office workers sitting for many hours is increasing. The sensor chair is tracking users’ sitting behavior which the help of pressure sensors and tries to avoid wrong postures which may cause diseases. The system provides live monitoring of the pressure distribution via web interface, as well as sitting posture prediction in real time. Posture analysis is realized through machine learning algorithm using a decision tree classifier that is compared to a random forest. Data acquisition and aggregation for the learning process happens with a mobile app adding users biometrical data and the taken sitting posture as label. The sensor chair is able to differentiate between an arched back, a neutral posture or a laid back position taken on the chair. The classifier achieves an accuracy of 97.4% on our test set and is comparable to the performance of the random forest with 98.9%.
BIM im Membranbau
(2019)
Die fortschreitende Digitalisierung wird zurzeit zu einem der wichtigsten Themen und zugleich zu einer der größten Herausforderungen für die Bauwirtschaft. Building Information Modeling (BIM) kommt eine immer größere Bedeutung zu.
Es ist sicherlich richtig, dass derzeit nur wenige Projekte im Bauwesen den geforderten BIM-Anforderungen der Bauherrschaft genügen. Es ist zu erwarten, dass in den kommenden Jahren auch an Membranbauprojekte immer mehr Anforderungen bezüglich BIM gestellt werden. Aus diesem Grund ist es wichtig, dass sich Planungsbüros für leichte Flächentragwerke mit dem Thema BIM befassen.
Ziel dieser Arbeit ist die Ausarbeitung eines Konzepts für die effiziente durchgehende Umsetzung der Building Information Modeling-Arbeitsmethode bei der Tragwerksplanung im Membranbau.
Es werden vorhandene Funktionalitäten untersucht und alternative Interoperabilitätskomponenten entwickelt. Aufbauend auf den möglichen Werkzeugketten werden verschiedene Einsatzverfahren vorgeschlagen. Darauffolgend wird eines der möglichen Verfahren an einem realen Tragwerk implementiert. Die erhaltenen Ergebnisse werden einer kritischen Analyse unterzogen.
Abschließende Rückschlüsse, Beurteilung der angewandten Planungsmethoden und Ausblick fassen das behandelte Thema zusammen.
Bei der Arbeit verwendete Methoden schließen den parametrischen Entwurf, manuelle Modellierung in zwei verschiedenen Softwareumgebungen und textliche Programmierung mit C#-Sprache ein.
Die Relevanz des untersuchten Themas erstreckt sich überwiegend auf praktisch tätige Ingenieure aus den Bereichen leichte Flächentragwerke, Sondertragwerke, Membranbau, wird aber auch für wissenschaftliche Mitarbeiter der Forschungsinstitutionen, BIM-Spezialisten und Produkthersteller von Interesse sein.
Die Erholung unseres Körpers und Gehirns von Müdigkeit ist direkt abhängig von der Qualität des Schlafes, die aus den Ergebnissen einer Schlafstudie ermittelt werden kann. Die Klassifizierung der Schlafstadien ist der erste Schritt dieser Studie und beinhaltet die Messung von Biovitaldaten und deren weitere Verarbeitung. Das non-invasive Schlafanalyse-System basiert auf einem Hardware-Sensornetz aus 24 Drucksensoren, das die Schlafphasenerkennung ermöglicht. Die Drucksensoren sind mit einem energieeffizienten Mikrocontroller über einen systemweiten Bus mit Adressarbitrierung verbunden. Ein wesentlicher Unterschied dieses Systems im Vergleich zu anderen Ansätzen ist die innovative Art, die Sensoren unter der Matratze zu platzieren. Diese Eigenschaft erleichtert die kontinuierliche Nutzung des Systems ohne fühlbaren Einfluss auf das gewohnte Bett. Das System wurde getestet, indem Experimente durchgeführt wurden, die den Schlaf verschiedener gesunder junger Personen aufzeichneten. Die ersten Ergebnisse weisen auf das Potenzial hin, nicht nur Atemfrequenz und Körperbewegung, sondern auch Herzfrequenz zu erfassen.
A new thermal shock application-oriented testing method for ceramic components and refractories
(2019)
Ceramics and refractories are often used in high-temperature applications like industrial furnaces. Therefore, thermomechanical and heat resistance of ceramic and refractory materials are important. The material behaviour is described by thermal stress resistance. Established material tests to determine thermal shock behaviour are complex and do not yield key figures. The potential of application-related material testing in combination with simulations with transfer from ceramics to refractories is described below. The combination of model-based simulation with applied material testing offers numerous advantages. On the one hand, the design of the test setup is supported by the simulation, which results in a goal and application-oriented test setup. On the other hand, the iterative approach allows the model verification with the help of the applied material testing. The simulation shows that the transfer from ceramics to refractory material is possible and results according to literature. The design reliability of the components is thereby improved, since initially different loads can be simulated in the model in combination with a variety of materials and geometries, and thereby substitute complex and expensive preliminary tests. As a result, verified models offer a great savings potential in terms of time to market, development expenses and use of raw materials. Very important is, that the method is suitable for technical ceramics and refractory materials.
Das WITg wird digitaler
(2019)
Thermochemical surface hardening is used to overcome the weak mechanical performance of austenitic and duplex stainless steels. Both low-temperature carburizing and nitrocarburizing can improve the hardness, wear, galling, and cavitation resistance, while maintaining their good corrosion resistance. Therefore, it is crucial to not form chromium-rich precipitates during hardening as these can deteriorate the passivity of the alloy. The hardening parameters, the chemical composition of the steel, and the manufacturing route of a component determine whether precipitates are formed. This article gives an overview of suitable alloys for low-temperature surface hardening and the performance under corrosive loading.
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.
The project aims for the development of a new material system from high tensile stainless steel wires as net material with environmentally compatible antifouling properties for off-shore fish farm cages. Therefore, current net materials from textiles (polyamide) shall be partially replaced by high strength stainless steel in order to have a more environmentally compatible system which meets the more severe mechanical loads (waves, storms, predators (sharks)). With a new antifouling strategy current issues like reduced ecological damage (e.g. due to copper disposal), lower maintenance costs (e.g. cleaning) and reduced durability shall be resolved.
Purpose – The purpose of this paper is to examine visitor management in the German-Swiss border area of the Lake Constance region. Taking a customer perspective, it determines the requirements for an application with the ability to optimize personal mobility.
Design/methodology/approach – A quantitative study and a survey of focus groups were conducted to identify movement patterns of different types of visitors and their requirements concerning the development of a visitor management application.
Findings – Visitors want an application that provides real-time forecasts of issues such as traffic, parking and queues and, at the same time, enables them to create a personal activity schedule based on this information.
Research limitations/implications – Not every subsample reached a sufficient number of cases to yield representative results.
Practical implications – The results may lead to an optimization and management separation of mobility flows in the research area and be helpful to municipal planners, destination marketing organizations and visitors.
Originality/value – The German border cities of Konstanz, Radolfzell and Singen in the Lake Constance region need improved visitor management, mainly because of a high level of shopping tourism by Swiss visitors to Germany. In the Summer months, Lake Constance is also a popular destination for leisure tourists, which causes overtourism. For the first time, the results of this research presented here offer possible solutions, in particular by showing how a mobile application for visitors could defuse the situation.
Border issues continue to be of interest in tourism literature, most significantly that which focusses on cross-border shopping (e.g., currency values, taxation,
security). Borders as destinations are recognized in this area but the notion of shopping as a destination is perhaps less acknowledged. Following a review of the relevant literature, including the presentation of a table summarizing key areas of cross-border tourism research around the world, this paper presents a unique example of a border region with two-way traffic for cross-border shopping tourism: the border between Germany and Switzerland.
The particular case is where two cities meet at the border: Konstanz, Germany and Kreuzlingen, Switzerland. An intercept survey and key informant interviews were conducted in both communities in the spring of 2015. The results indicate high levels of traffic for various products and services. And while residents are generally satisfied with cross-border shopping in their communities, there are emerging issues related to volume and, in particular, too many in Konstanz and not enough in Kreuzlingen.
The paper concludes with a discussion that includes the development of a model cross-border shopping tourism that recognizes the multiple layers in space and destination.
The paper concludes with a proposal to further investigate the particular issues related to the volume on both sides of borders where cross-border shopping is the destination.
This paper presents a framework to assess the cultural sustainability of Aboriginal tourism in British Columbia, which meets must take into account the protection of human rights, good self-governance, identity, control of land, the tourism product’s authenticity, and a market-ready tourism product. These criteria are specified by two indicators each. The cultural sustainability framework was generated by triangulating qualitative research methods like experts’ interviews, secondary research, and participant and non-participant observations. This paper is thus conceptual in nature and inductive in its approach. It partly leverages a collaborative approach, as it includes interviewees in an iterative research loop. Furthermore, the paper shows why cultural sustainability is a determinant of the success of Aboriginal tourism.
The aim of this paper is to portray the risks of climate change for low mountain range tourism and to develop sustainable business models as adaption strategy. A mixed-method-approach is applied combining secondary analysis, a quantitative survey, and qualitative in-depth-interviews in a transdisciplinary setting. Results show, that until now, climate change impacts on the snow situation in the Black Forest – at least above 1,000 m – have been mild and compensated by artificial snowmaking, and up to now have not had measurable effects on tourism demand. In general, the Black Forest appears to be an attractive destination for more reasons than just snow. The climate issue seems to be regarded as a rather incidental occurrence with little importance to current business decisions. However, the authors present adaption strategies as alternatives for snow tourism, e. g. the implementation of hiking hostels, since climate change will make winter tourism in the Black Forest impossible in the long run.
Die Bodenseeregion gilt als populäre Freizeit- und Tourismusdestination, mit der ein vielfältiger Naturraum, ein angenehmes Klima sowie eine fruchtbare Landwirtschaft verbunden werden. Der Kulturtourismus ist dabei – je nach Bodenseedestination in unterschiedlich starker Ausprägung – nicht nur ein wichtiger Baustein für die Erweiterung der touristischen Angebotspalette, sondern auch ein wesentlicher Faktor für die Lebensqualität am Bodensee.
Für die Tourismuswirtschaft und insbesondere den Kulturtourismus ist die Inanspruchnahme von Knowhow der Kreativwirtschaft z. B. in Form von Produkten und Dienstleistungen des Presse-, Rundfunk-, Software-, und Werbemarkts unverzichtbar. Die Kreativwirtschaft ist mit Teilmärkten wie der Musikwirtschaft, den darstellenden Künsten oder dem Kunstmarkt ein wichtiger Inhaltslieferant für kulturtouristische Angebote.
Viele touristische Aktivitäten sind mit einem erhöhten Energiebedarf (Strom, Wärme, Kraftstoffe) verbunden, sodass Tourismus nicht losgelöst von der Energiewirtschaft bzw. deren Klimawirksamkeit zu betrachten ist. Das Projekt befasst sich daher mit der Triade Tourismus, Klimawandel und erneuerbare Energienutzung.
Die Veränderungen des Klimas stellen den Tourismus vor neue Herausforderungen. Um diesen Herausforderungen, im Sinne eines nachhaltigen Tourismus gerecht zu werden, kann der Tourismus dem Klimawandel mit Anpassungs- und/oder Vermeidungsstrategien begegnen (vgl. ELSASSER ET AL. 2000). Im Rahmen dieses Projektes werden sowohl mögliche Anpassungs- als auch Vermeidungsstrategien thematisiert. Ein besonderer Fokus wird dabei zum einen auf die Nutzung von erneuerbaren Energien (EE) gelegt. Zum anderen werden die Entwicklungen des Tourismus und die Anpassungen an die Änderungen des Klimas vornehmlich in Bezug auf den Wintertourismus betrachtet. Räumlich konzentriert sich das Projekt auf das Mittelgebirge Schwarzwald.
Die Hitzewellen der Sommer 2003 und 2015 zeigten wie kritisch langanhaltende Trockenheit nicht nur für die Natur, sondern auch für wassernutzende Unternehmen werden kann. Infolge des Klimawandels wird es entlang der Gewässer Baden-Württembergs immer wieder zu verschärften Niedrigwassersituationen kommen, was unter Umständen zu Wassernutzungskonflikten mit anderen Nutzern führt. Innerhalb dieses KLIMOPASS Projektes liegt der Fokus auf der Identifikation von vorhandenen und im Zuge des Klimawandels potenziell auftretenden lnteressens- und Nutzungskonflikten um die Ressource Wasser. Der Forschungsschwerpunkt bezieht sich hierbei auf zwei beispielhafte Fluss-Einzugsgebiete in Baden-Württemberg (die Murg und der Kocher) sowie aller beteiligten Akteure bzw. Wasserge- und -verbraucher (Energienutzung, Landwirtschaft, kommunale Entwässerung, Tourismus, Ökologie, etc.).
Anhand des Kochers und der Murg wurden mit Hilfe von Umfragen, Experteninterviews und Workshops Nutzungskonflikte identifiziert sowie Handlungsoptionen für eine Niedrigwasservorsorge und ein Niedrigwassermanagement erstellt. Dabei galt es ökonomische, gesellschaftliche und ökologische Belange möglichst adäquat zu berücksichtigen und sämtliche relevanten Akteure (Stakeholder) in einen partizipativen Prozess zu integrieren. Den Erhebungen zufolge treten Wassernutzungskonflikte nicht allgemein sektorenübergreifend auf, sondern sektorenspezifisch. Hierbei stehen die in Konflikte verwickelten Sektoren charakteristischerweise mit mehreren Stakeholder-Gruppen im Widerstreit, andere Akteursgruppen haben wiederum keinerlei Erfahrung mit Konflikten. Weiterhin ist auffällig, dass Niedrigwassersituationen an beiden untersuchten Flüssen lediglich einen Teil der Nutzungskonflikte ausmachen und verstärkt mit anthropogenen Einflüssen in Verbindung gebracht werden.
CO2 compensation measures, in particular the compensation of flights, are becoming more and more popular. Carbon offsetting is defined as measures financed by donations that save greenhouse gases previously emitted elsewhere through climate protection projects.
CO2 abatement costs are often low in developing countries. This is why most offset projects are implemented there. Nevertheless, this does not mean that the holiday resort and the project country are in any way related to each other.
By linking carbon offset projects with the destination country, the tourist is able to get an impression of the co-financed project. In case such projects are realized in cooperation with the hotel, the hotel operator obtains a new tourist attraction and can demonstrate its efforts to climate protection in a PR-effective way.
Rheumatoid arthritis is an autoimmune disease that causes chronic inflammation of synovial joints, often resulting in irreversible structural damage. The activity of the disease is evaluated by clinical examinations, laboratory tests, and patient self-assessment. The long-term course of the disease is assessed with radiographs of hands and feet. The evaluation of the X-ray images performed by trained medical staff requires several minutes per patient. We demonstrate that deep convolutional neural networks can be leveraged for a fully automated, fast, and reproducible scoring of X-ray images of patients with rheumatoid arthritis. A comparison of the predictions of different human experts and our deep learning system shows that there is no significant difference in the performance of human experts and our deep learning model.
Flatness-based feed-forward control of solenoid actuators is considered. For precise motion planning and accurate steering of conventional solenoids, eddy currents cannot be neglected. The system of ordinary differential equations including eddy currents, that describes the nonlinear dynamics of such actuators, is not differentially flat. Thus, a distributed parameter approach based on a diffusion equation is considered, that enables the parametrization of the eddy current by the armature position and its time derivatives. In order to design the feedforward control, the distributed parameter model of the eddy current subsystem is combined with a typical nonlinear lumped parameter model for the electrical and mechanical subsystems of the solenoid. The control design and its application are illustrated by numerical and practical results for an industrial solenoid actuator.
Drawing on a rich body of multimethod field research, this book examines the ways in which Indonesian and Philippine religious actors have fostered conflict resolution and under what conditions these efforts have been met with success or limited success.
The book addresses two central questions: In what ways, and to what extent, have post-conflict peacebuilding activities of Christian churches contributed to conflict transformation in Mindanao (Philippines) and Maluku (Indonesia)? And to what extent have these church-based efforts been affected by specific economic, political, or social contexts? Based on extensive fieldwork, the study operates with a nested, multi-dimensional, and multi-layered methodological concept which combines qualitative and quantitative methods. Major findings are that church-based peace activities do matter, that they have higher approval rates than state projects, and that they have fostered interreligious understanding.
Through innovative analysis, this book fills a lacuna in the study of ethno-religious conflicts. Informed by the novel Comparative Area Studies (CAS) approach, this book is strictly comparative, includes in-case and cross-case comparisons, and bridges disciplinary research with Area Studies. It will be of interest to academics in the fields of conflict and peacebuilding studies, interreligious dialogue, Southeast Asian Studies, and Asian Politics.
Leichtbauwerkstoffe bewegen sich im Spannungsfeld neuer Werkstoffkombinationen, Herstellungs- und Fügetechnologien sowie von Lebensdauer und Nachhaltigkeit. Besondere Aufmerksamkeit sollte daher hybriden CFK-Metallverbunden gelten. Gefördert von der Internationalen Bodensee Hochschule IBH untersucht etwa das Werkstoffprüflabor der Hochschule Konstanz (HTWG) in einem internationalen Forschungsprojekt die Festigkeit von Sandwich-Verbunden aus Aluminium und CFK.
Der Einsatz von Keramiken erfolgt oft bei hohen Temperaturen oder großen Temperaturgradienten. Deshalb ist die thermo-mechanische Beständigkeit von keramischen und feuerfesten Werkstoffen wichtig für die Materialauswahl und das Bauteildesign. Das Werkstoffverhalten wird durch die Thermoschock- bzw. Temperaturwechselbeständigkeit beschrieben. Etablierte Werkstoffprüfungen zu ihrer Ermittlung sind komplex und aufwendig. Das Potenzial von anwendungsnaher Werkstoffprüfung in Kombination mit modellbildender Simulation wird beschrieben.
Ceramics are often used in high-temperature applications. Therefore, thermomechanical and heat resistance of ceramic and refractory materials are important. The material behaviour is described by thermal stress resistance. Established material tests to determine thermal shock behaviour are complex. The potential of application-related material testing in combination with simulations is described below.
These days, medical applications of shape memory alloys (SMAs) can be found in cardiovascular devices, gastroenterology and urology as well as in the area of orthopedic implants, orthodontic devices and clinical instrumentation. Their functional properties combined with excellent biocompatibility increase the possibility and the performance of minimally invasive surgeries. Overviews of existing applications can be found in [1-2]. Within the medical field, most of the applications with shape memory (SM) material take advantage of the superelasticity of NiTi SMAs. In contradiction to the superelastic or mechanical SM effect, the application described in this study uses the thermal SM effect for a new medical implant. Before explaining the SM driven intramedullary bone nail in detail, a short introduction to the bone elongation technique is given.
The background of this application on based in the medical fact that normally any tissue reacts to an injury with repair and healing processes through multiplication of cells. If after a transverse osteotomy a strain stimulus is activated, for example by tensile stress, this multiplication of cells and new formation of tissue may be continued for any length of time. Due to this mechanism, even considerable loss of bone caused by fractures or congenital defective positions, may be compensated without bone grafts. The technique of callus distraction by means of external fixation or intramedullary nail stimulates the formation of callus in the bone gap. Callus is the repair tissue of the bone generated in the fracture gap in case of bone fracture or osteotomy. The gap to be bridged should not be wider than 1 mm per day [3]. The process starts with the exudation of callus around the ends of the broken bone. At first, callus is more like a fibrous tissue. Later it hardens due to deposition of calcium and eventually it is converted into true bone. Three weeks after severance, the vascular system is formed. An overview of current bone lengthening techniques, also called callus distraction, can be found in [3]. External systems are normally used for the extension of bones, the bone fragments being fixed on rings by wires. The decisive disadvantages of those external systems are primarily the considerable risk of infection due to protruding wires, noticeable discomfort for the patient because of the external rings, a coarse cosmetic result because of scarring, as well as rather long hospitalization.
Therefore, internal bone extension systems are of great interest to orthopedic surgery.
Dass sich Stoffe bei Temperaturänderungen zusammenziehen beziehungsweise ausdehnen, ist eine uralte Erkenntnis. Diesbezüglich stechen Formgedächtnislegierungen heraus, da diese die verblüffende Eigenschaft besitzen, sich bei Temperaturänderung ungewöhnlich rasch zusamenzuziehen beziehungsweise auszudehnen. Eine physikalische Besonderheit, die sich auf vielfältige Weise nutzen lässt.
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.
The cornerstone of cognitive systems is environment awareness which enables agile and adaptive use of channel resources. Whitespace prediction based on learning the statistics of the wireless traffic has proven to be a powerful tool to achieve such awareness. In this paper, we propose a novel Hidden Markov Model (HMM) based spectrum learning and prediction approach which accurately estimates the exact length of the whitespace in WiFi channels within the shared industrial scientific medical ISM) bands. We show that extending the number of hidden states and formulating the prediction problem as a maximum likelihood (ML) classification leads to a substantial increase in the prediction horizon compared to classical approaches that predict the immediate (short-term) future. We verify the proposed algorithm through simulations which utilize a model for WiFi traffic based on extensive measurement campaigns.
Martensitic stainless steels has a wide use, for example for blades, knifes or cutter. The best corrosion resistance of these materials is in hardened condition. For better mechanical properties a tempering is normally applied to increase the durability. The tempering is also reducing the hardness and finally the corrosion resistance. Austempering is meanly used at low alloyed steels and brings a good compromise between durability, hardness and corrosion resistance. For martensitic stainless steels, austempering is normally not a topic because of the very long tempering times.
This work shows first results of austempering of some standard martensitic stainless steels and the influence to corrosion resistance. For reference, hardened and also hardened and tempered specimens were investigated. The corrosions resistance was investigated by electrochemical methods.
Magnetic effects on austenitic stainless steels, formed during a low temperature carburizing depending on the alloy composition are discussed in this paper. Samples of different austenitic stainless steel alloys have been subjected to a multiple low-temperature carburization. Layer characteriszation with light microscope and hardness profiles show a growth of the layer thickness. The formation of an expanded austenite layer (lattice expansion) could be detected by X-ray diffraction (XRD). Feritscope was used to determine the magnetizability, whereby not all austenitic alloys form a magnetizability after treatment. Furthermore, test procedures were developed to visualize the magnetizability. For this purpose, magnetic force microscope measurements and investigations with ferrofluid were carried out and a fir tree ferromagnetic layer strucure could be proven.
Methodology
(2019)
Chapter three introduces the methodology of the study and the research design. Its nested, multi-layered methodological concept constitutes one of the major innovations of the book and enables us to map and measure peacebuilding activities of Christian church actors in the conflicts of Mindanao and Maluku (Ambon). The methodological concept draws from Katzenstein’s “analytic eclecticism,” which transcends the rigidity of existing research schools and seeks to fuse elements of several approaches into a new research agenda. The nested, multi-layered analysis of this book seamlessly combines process tracing, discourse analysis, statistical analysis of primary data generated in two field surveys, Qualitative Comparative Analysis (QCA), and statistical regression analysis.
This article describes a research project that aims at investigating individual entrepreneurial founders concerning their shift tendencies of decision-making logics - especially during the respective phases of the venture creating process. Prior studies found that team founders show a hybrid perspective on strategic decision-making. They not only combine causation (planning-based) and effectuation (flexible) logics but also show logic shifts and also re-shifts over time. Due to the fact, that founders' social identity shapes early structuring processes, this article describes the necessity of elimination of in-group influences of multi-founding ventures and focus on individuals in order to make specific assessments on logic shifts and re-shifts. Based on an extensive literature review, a pre-selection-test and a qualitative case study design from the empirical body of the paper. Insofar, this study applies a qualitative design of a process research approach to investigate shifts of decision-making logics of individual founders in new venture creation over time.
Die Datenschutz-Grundverordnung (DSGVO) sieht in Art. 82 DSGVO einen Anspruch auf Ersatz materieller und immaterieller Schäden vor, allerdings ohne Aussagen darüber, wie die Schadenshöhe zu bestimmen ist. Der Beitrag beleuchtet die bisherige Gerichtspraxis kritisch und zeigt auf, welche Kriterien speziell in data leakage-Fällen herangezogen werden können, um die Schadenshöhe zu bestimmen. Aus der Sicht von Betroffenen stellt sich die Frage nach effektiver Rechtsdurchsetzung, aus der Sicht von Unternehmen stellt sich die Frage nach Prävention und Abwehr von Ansprüchen.
Flooded Edge Gateways
(2019)
Increasing numbers of internet-compatible devices, in particular in the context of IoT, usually cause increasing amounts of data. The processing and analysis of a continuously growing amount of data in real-time by means of cloud platforms cannot be guaranteed anymore. Approaches of Edge Computing decentralize parts of the data analysis logics towards the data sources in order to control the data transfer rate to the cloud through pre-processing with predefined quality-of-service parameters. In this paper, we present a solution for preventing overloaded gateways by optimizing the transfer of IoT data through a combination of Complex Event Processing and Machine Learning. The presented solution is completely based on open-source technologies and can therefore also be used in smaller companies.
The reliable supply of energy is an essential prerequisite for the economic success of a country. Questions of sustainability and the replacement of import dependencies require new tasks with new approaches. This contribution provides an overview of dependencies using the example of German electrical power grids integrating renewable energies. Aspects of energy trading and grid stability are brought into connection, stock exchange trading, grid codes and volatility of used primary energies are discussed.
Engineering and management
(2019)
Generative Design Software - How does digitalization change the professional profile of architects
(2019)
Abstract, Poster und Vortrag
Das hier vorgestellte Netzoptimierungstool kann dem Verteilnetzbetreiber bei einem Störfall im Netz in Echtzeit eine Lösung zur Steuerung seiner Betriebsmittel vorschlagen. Dadurch kann das bestehende Netz optimal genutzt werden und ein kostenintensiver Netzausbau im Mittel- und Niederspannungsnetz verringert oder sogar verhindert werden. Als Grundlage für den Netzoptimierer dient ein künstliches neuronales Netz (KNN). Zum Training des KNN wurden Störfälle generiert, die auf reellen Erzeugungs- und Lastprofilen aus dem CoSSMic-Projekt basieren [1]. Für jeden Störfall wurde aus allen möglichen und sinnvollen Netzkonfigurationen eine optimierte Netztopologie anhand von Lastflussberechnungen ermittelt. Durch die Variation der Stufenschalter der Transformatoren und der Stellungen aller installierten Schalter im Netz wurde berechnet, wie der Stromfluss gelenkt werden muss, damit keines der Betriebsmittel die zulässigen Belastungsgrenzen mehr überschreitet. Für ein virtuelles Testnetz konnte mit einem trainierten KNN zu 90 Prozent die optimale Lösung des jeweiligen Störfalls erkannt werden. Durch die Anwendung der N-Best Methode konnte die Vorhersagewahrscheinlichkeit auf annähernd 99 Prozent erhöht werden.
We present an alternative approach to grid management in low voltage grids by the use of artificial intelligence. The developed decision support system is based on an artificial neural network (ANN). Due to the fast reaction time of our system, real time grid management will be possible. Remote controllable switches and tap changers in transformer stations are used to actively manage the grid infrastructure. The algorithm can support the distribution system operators to keep the grid in a safe state at any time. Its functionality is demonstrated by a case study using a virtual test grid. The ANN achieves a prediction rate of around 90% for the different grid management strategies. By considering the four most likely solutions proposed by the ANN, the prediction rate increases to 98.8%, with a 0.1 second increase in the running time of the model.
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.
Summary of the 8th Workshop on Metallization and Interconnection for Crystalline Silicon Solar Cells
(2019)
This article gives a summary of the 8th Metallization and Interconnection workshop and attempts to place each contribution in the appropriate context. The field of metallization and interconnection continues to progress at a very fast pace. Several printing techniques can now achieve linewidths below 20 μm. Screen printing is more than ever the dominating metallization technology in the industry, with finger widths of 45 μm in routine mass production and values below 20 μm in the lab. Plating technology is also being improved, particularly through the development of lower cost patterning techniques. Interconnection technology is changing fast, with introduction in mass production of multiwire and shingled cells technologies. New models and characterization techniques are being introduced to study and understand in detail these new interconnection technologies.
Vortrag und Abstract
When a country grants preferential tariffs to another, either reciprocally in a free trade agreement (FTA) or unilaterally, rules of origin (RoOs) are defined to determine whether a product is eligible for preferential treatment. RoOs exist to avoid that exports from third countries enter through the member with the lowest tariff (trade deflection). However, RoOs distort exporters' sourcing decisions and burden them with red tape. Using a global data set, we show that, for 86% of all bilateral product-level comparisons within FTAs, trade deflection is not profitable because external tariffs are rather similar and transportation costs are non-negligible; in the case of unilateral trade preferences extended by rich countries to poor ones that ratio is a striking 98%. The pervasive and unconditional use of RoOs is, therefore, hard to rationalize.
Fast and reliable acquisition of truth data for document analysis using cyclic suggest algorithms
(2019)
In document analysis the availability of ground truth data plays a crucial role for the success of a project. This is even more true at the rise of new deep learning methods which heavily rely on the availability of training data. But even for traditional, hand crafted algorithms that are not trained on data, reliable test data is important for the improvement and evaluation of the methods. Because ground truth acquisition is expensive and time consuming, semi-automatic methods are introduced which make use of suggestions coming from document analysis systems. The interaction between the human operator and the automatic analysis algorithms is the key to speed up the process while improving the quality of the data. The final confirmation of data may always be done by the human operator. This paper demonstrates a use case for acquisition of truth data in a mail processing system. It shows why a new, extended view on truth data is necessary in development and engineering of such systems. An overview over the tool and the data handling is given, the advantages in the workflow are shown, and consequences for the construction of analysis algorithms are discussed. It can be shown that the interplay between suggest algorithms and human operator leads to very fast truth data capturing. The surprising finding is the fact that if multiple suggest algorithms circularly depend on data, they are especially effective in terms of speed and accuracy.
The first part of this work shows the development and application of a new material system using high strength duplex stainless steel wires as net material with environmentally compatible antifouling properties for off-shore fish farm cages. Current net materials from textiles (polyamide) shall be partially replaced by high strength duplex stainless steel in order to have a more environmentally compatible system which meets the more severe mechanical loads (waves, storms, predatores (sharks, seals)). With a new antifouling strategy current issues like reduced ecological damage (e.g. due to copper disposal), lower maintenance costs (e.g. cleaning) and reduced durability shall be resolved.
High strength steel wires are also widely used in geological protection systems, for example rockfall protection or slope stabilisation. Normally hot-dip galvanised carbon steel is used in this case. But in highly corrosive environments like coastal areas, volcanic areas or mines for example, other solutions with a high corrosion resistance and sufficient mechanical properties are necessary. Protection systems made of high strength duplex stainless steel wires enable a significantly longer service life of the portection systems and therefore a higher level of security.
Pitting susceptibility of metastable austenitic stainless steels as a function of surface conditions
(2019)
The influence of surface roughness and local defects on pitting susceptibility of type 304 (UNS S30400) and type 301 (UNS S30100) in chloride solution were investigated. Because the mechanical properties can be regarded as decisive for the achieved surface quality, different properties of the base material were obtained by cold rolling the metastable austenites. This was done before the surfaces were finished. Therefor the surfaces were treated by different grinding parameters to generate different surface conditions and different defects. As a reference, different standardised surface finishes were used.
By using and comparing different methods for the characterization of surface roughness and surface texture, it is possible to find a relationship between the quantity and characteristics of local defects on the one hand and pitting susceptibility on the other hand. For the machining parameters used, a ranking of the influencing factors on the corrosion resistance achieved could be determined.
The automated application of software-based solutions for estimating the pitting susceptibility of machined surfaces and components will be discussed using concrete examples.