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Driver assistance systems are increasingly becoming part of the standard equipment of vehicles and thus contribute to road safety. However, as they become more widespread, the requirements for cost efficiency are also increasing, and so few and inexpensive sensors are used in these systems. Especially in challenging situations, this leads to the fact that target discrimination cannot be ensured which may lead to false reactions of the driver assistance system. In this paper, the Boids flocking algorithm is used to generate semantic neighborhood information between tracked objects which in turn can significantly improve the overall performance. Two different variants were developed: First, a free-moving flock whereby a separate flock is generated per tracked object and second, a formation-controlled flock where boids of a single flock move along the future road course in a pre-defined formation. In the first approach, the interaction between the flocks as well as the interaction between the boids within a flock is used to generate additional information, which in turn can be used to improve, for example, lane change detection. For the latter approach, new behavioral rules have been developed, so that the boids can reliably identify control-relevant objects to a driver assistance system. Finally, the performance of the presented methods is verified through extensive simulations.
Intelligente Aktorik
(2017)
Outcomes with a natural order commonly occur in prediction problems and often the available input data are a mixture of complex data like images and tabular predictors. Deep Learning (DL) models are state-of-the-art for image classification tasks but frequently treat ordinal outcomes as unordered and lack interpretability. In contrast, classical ordinal regression models consider the outcome’s order and yield interpretable predictor effects but are limited to tabular data. We present ordinal neural network transformation models (ontrams), which unite DL with classical ordinal regression approaches. ontrams are a special case of transformation models and trade off flexibility and interpretability by additively decomposing the transformation function into terms for image and tabular data using jointly trained neural networks. The performance of the most flexible ontram is by definition equivalent to a standard multi-class DL model trained with cross-entropy while being faster in training when facing ordinal outcomes. Lastly, we discuss how to interpret model components for both tabular and image data on two publicly available datasets.
Research on Shadow IT is facing a conceptual dilemma in cases where previously “covert” systems developed by business entities are integrated in the organizational IT management. These systems become visible, are thus not “in the shadows” anymore, and subsequently do not fit to existing definitions of Shadow IT. Practice shows that some information systems share characteristics of Shadow IT but are created openly in alignment with the IT organization. This paper proposes the term “Business-managed IT” to describe “overt” information systems developed or managed by business entities and distinguishes it from Shadow IT by illustrating case vignettes. Accordingly, our contribution is to suggest a concept and its delineation against other concepts. In this way, IS researchers interested in IT originated from or maintained by business entities can construct theories with a wider scope of application that are at the same time more specific to practical problems. In addition, the terminology allows to value potentially innovative developments by business entities more adequately.
Background:
One of the most promising health care development areas is introducing telemedicine services and creating solutions based on blockchain technology. The study of systems combining both these domains indicates the ongoing expansion of digital technologies in this market segment.
Objective:
This paper aims to review the feasibility of blockchain technology for telemedicine.
Methods:
The authors identified relevant studies via systematic searches of databases including PubMed, Scopus, Web of Science, IEEE Xplore, and Google Scholar. The suitability of each for inclusion in this review was assessed independently. Owing to the lack of publications, available blockchain-based tokens were discovered via conventional web search engines (Google, Yahoo, and Yandex).
Results:
Of the 40 discovered projects, only 18 met the selection criteria. The 5 most prevalent features of the available solutions (N=18) were medical data access (14/18, 78%), medical service processing (14/18, 78%), diagnostic support (10/18, 56%), payment transactions (10/18, 56%), and fundraising for telemedical instrument development (5/18, 28%).
Conclusions:
These different features (eg, medical data access, medical service processing, epidemiology reporting, diagnostic support, and treatment support) allow us to discuss the possibilities for integration of blockchain technology into telemedicine and health care on different levels. In this area, a wide range of tasks can be identified that could be accomplished based on digital technologies using blockchains.
Beim data-driven learning (DDL) werden Lernerinnen und Lerner angeleitet, sprachliche Muster mit Hilfe von Korpuswerkzeugen zu entdecken und eigene Korpusabfragen durchzuführen. Am Beispiel einer Unterrichtseinheit für den Wirtschaftsdeutsch-Unterricht wird der Einsatz von DDL erläutert. Es wird deutlich, welche Chancen korpuslinguistische Verfahren bieten, aber auch, welche Probleme beim DDL auftreten können. Vor allem für die Planung des Fachsprachenunter-richts können korpuslinguistische Analysen hilfreich sein: Zu nennen sind die Bedarfsermittlung, die Auswahl von Materialien, die Identifizierung von typischem Wortschatz und häufigen Mustern sowie die Erstellung von Übungsmaterialien. Das Praxisbeispiel, das auf andere Kontexte übertragen werden kann, illustriert, wie sich korpuslinguistische Verfahren und DDL auf die Unterrichtsplanung und -durchführung auswirken: Sprache wird als Datenmenge betrachtet; der Fokus liegt auf sprachlichen Mustern; Fragen nach der Korrektheit bzw. der Angemessenheit werden thematisiert.
Schreiben im Studium
(2020)
Sollte das wissenschaftliche Schreiben als allgemeine Wissenschaftssprache vermittelt werden oder sollten die sprachlichen Anforderungen in den jeweiligen Disziplinen berücksichtigt werden? Die Antwort auf diese Frage hängt auch davon ab, wie stark sich die Wissenschaftssprachen unterscheiden. In der vorliegenden Studie wurden wissenschaftssprachliche Besonderheiten anhand zweier Korpora untersucht, die deutschsprachige Dissertationen der Fächer Betriebswirtschaftslehre (BWL) bzw. Maschinenbau (MB) umfassten und in denen der Gebrauch von Mehrworteinheiten (z.B. im vergleich zu den) verglichen wurde. Die Untersuchung verdeutlicht den unterschiedlichen Gebrauch der Mehrworteinheiten zwischen den Disziplinen: Nur vierzehn der 50 häufigsten Mehrworteinheiten wurden in beiden Korpora genutzt. Die Ergebnisse werden mit Blick auf die Vermittlung des wissenschaftlichen Schreibens erörtert. Es werden Überlegungen zur Weiterentwicklung der Methode angestellt und es wird diskutiert, wie die Korpuslinguistik die Schreibvermittlung im Studium unterstützen könnte.
Schreiben im Beruf
(2015)
Wie kann der Bedarf für berufliches Schreiben ermittelt werden und welche Schwierigkeiten sind dabei zu erwarten? Im Beitrag wird auf Erfahrungen zurückgegriffen, die in einer verwandten Disziplin gemacht wurden: Für berufsbegleitende Sprachkurse in Unternehmen liegen bereits viele Bedarfsermittlungen vor. Diese Erfahrungen können bei Bedarfsermittlungen für berufliches Schreiben berücksichtigt werden. Im Mittelpunkt des Beitrags stehen drei Bedarfsermittlungen zum Englischbedarf von Mitarbeitern internationaler Unternehmen, in denen die typische Methodik von Bedarfsermittlungen deutlich wird und typische Schwierigkeiten auftreten. Die Schwierigkeiten werden unter den Aspekten Erfahrungsdefizite, Kompetenzunterschiede und Machtgefälle zusammengefasst.
Schreiben im Beruf
(2015)
Wie kann der Bedarf für berufliches Schreiben ermittelt werden und welche Schwierigkeiten sind dabei zu erwarten? Im Beitrag wird auf Erfahrungen zurückgegriffen, die in einer verwandten Disziplin gemacht wurden: Für
berufsbegleitende Sprachkurse in Unternehmen liegen bereits viele Bedarfsermittlungen vor. Diese Erfahrungen können bei Bedarfsermittlungen für berufliches Schreiben berücksichtigt werden. Im Mittelpunkt des Beitrags
stehen drei Bedarfsermittlungen zum Englischbedarf von Mitarbeitern internationaler Unternehmen, in denen die typische Methodik von Bedarfsermittlungen deutlich wird und typische Schwierigkeiten auftreten. Die Schwierigkeiten werden unter den Aspekten Erfahrungsdefizite, Kompetenzunterschiede und Machtgefälle zusammengefasst.
Im Beitrag wird erörtert, welche Rolle der schriftlichen Fehlerkorrektur im studienbegleitenden und -vorbereitenden Deutschunterricht zukommt. Dazu wird ein Überblick über den Stand der Forschung gegeben und eine Studie zur Fehlerkorrektur mit fortgeschrittenen Lernenden vorgestellt, in der die Wirkung einer Fehlerkorrektur am Lernertext überprüft wurde. Die Fehlerkorrektur führte bei der Experimentalgruppe zwar zu einer Reduktion der Fehler in der Überarbeitung, im Vergleich zur Kontrollgruppe aber nicht zu einer signifikanten Verbesserung in einem neuen Text. Um zu eruieren, wie die Lernenden mit der Fehlerkorrektur umgingen, wurde in der Studie außerdem eine qualitative Analyse einzelner Arbeiten vorgenommen. Der Beitrag schließt mit der Frage, welche Rolle eine – nicht sonderlich effektive – Fehlerkorrektur in einer auf Wissenschaftssprache bezogenen Vermittlung einnehmen sollte.
Service in der Investitionsgüterindustrie wird heutzutage in der Regel immer noch manuell und vor Ort beim Kunden ausgeführt. Dazu braucht es qualifizierte Service-Techniker:innen, die über das nötige Produkt- Prozesswissen verfügen. Für kleine und mittelständische Unternehmen (KMU) der Investitionsgüterindustrie stellt insbesondere die Internationalisierung eine Herausforderung dar, da qualifizierte Service-Techniker:innen eine rare Ressource sind. Es gilt sie möglichst effektiv und effizient einzusetzen. Zu diesem Zweck wurde im Rahmen des SerWiss-Projektes eine Lösung entwickelt, die es KMU ermöglicht, service-rele-
vantes Wissen effizient zu generieren, zu strukturieren und am Point-of-Service bereitzustellen sowie im Rahmen geeigneter Geschäftsmodelle zu vermarkten. Im Beitrawird erläutert, wie sich dieses erfasste Wissen als kundenorientiertes Wertangebot einsetzen und erlöswirksam in entsprechenden Geschäftsmodellen umsetzen lässt.
Botenstoffe für Innovationen
(2022)
Die Digitalisierung und Flexibilisierung der Fertigung wird die Arbeitsbedingungen und Prozesse genauso wie Geschäftsmodelle stark verändern. In der Praxis ist gegenwärtig eine wachsende Diskrepanz zwischen Großunternehmen und KMUs erkennbar. Die Lernfabrik an der HTWG Konstanz will genau dies überbrücken.
Smart factory and education
(2017)
Arbeit an der Zukunft
(2016)
Die Digitalisierung beeinflusst nahezu alle Lebensbereiche. Welche der durch sie möglichen »Zukünfte« eintreten wird, ist heute schwer zu erkennen. Klar ist aber: Die HTWG muss ihre Studierenden darauf vorbereiten. Und sie will die Zukunft selbst mitgestalten. Ein Weg dahin ist die Modellfabrik 4.0, die fakultätsübergreifend Lehr- und Forschungsansätze bietet.
Die richtige Balance zwischen Flexibilität und Stabilität von Geschäftsprozessen ist ein essenzieller Faktor für Unternehmen, um den Anforderungen zunehmend dynamisch werdender Märkte gerecht zu werden.
Die durch die digitale Revolution stetig steigende IT-Durchdringung fordert eine noch besser abgestimmte Zusammenarbeit zwischen den IT- und Fachabteilungen.
Müssen Organisationen schwergewichtige IT- und Prozessarchitekturen pflegen, können diese Anforderungen in vielen Fällen nicht adäquat erfüllt werden. Zu lange Zeitfenster der Aktualisierungszyklen führen zu signifikanten Differenzen zwischen den modellierten und den gelebten Geschäftsprozessen. Die Autoren dieses Beitrags propagieren eine Lösung durch innovative agile Methoden, mit deren Hilfe es möglich wird schlanke, maßgeschneiderte Architekturen unmittelbar zu implementieren und kontinuierlich zu pflegen.
Mit Eis erneuerbar Heizen
(2023)
Excubation
(2015)
Evaluation of tech ventures’ evolving business models: rules for performance-related classification
(2022)
At the early stage of a successful tech venture's life cycle, it is assumed that the business model will evolve to higher quality over time. However, there are few empirical insights into business model evolution patterns for the performance-related classification of early-stage tech ventures. We created relevant variables evaluating the evolution of the venture-centric network and the technological proposition of both digital and non-digital ventures' business models using the text of submissions to the official business plan award in the German State of Baden-Württemberg between 2006 and 2012. Applying a principal component analysis/rough set theory mixed methodology, we explore performance-related business model classification rules in the heterogeneous sample of business plans. We find that ventures need to demonstrate real interactions with their customers' needs to survive. The distinguishing success rules are related to patent applications, risk capital, and scaling of the organisation. The rules help practitioners to classify business models in a way that allows them to prioritise action for performance.
The business model canvas (BMC) and the lean start-up manifesto (LSM) have been changing both the entrepreneurial education and, on the practical side, the mindset in setting up innovative ventures since the burst of the dot-com bubble. However, few empirical insights on the business model implementation patterns that distinguish between digital and non-digital innovative ventures exist. Connecting practical management tools to network theory as well as to the theory of organizational learning, this paper investigates evolution patterns of digital and non-digital business models out of the deal flow of an innovation intermediary. For this purpose, a multi-dimensional quantitative content analysis research design is applied to 242 ventures' business plans. The measured strength of transaction relations to customers, suppliers, people, and financiers has been combined with performance indicators of the sampled ventures. The results indicate that in order to succeed, digital ventures iterate their business on the market early and search for investment afterwards. Contrariwise, non-digital ventures already need financial investments in the early stages to set up a product ready to be tested on the market. In both groups we found strong evidence that specific evolutionary patterns relate to higher rates of success.
Mutual Information Analysis for Generalized Spatial Modulation Systems With Multilevel Coding
(2022)
Generalized Spatial Modulation (GSM) enables a trade-off between very high spectral efficiencies and low hardware costs for massive MIMO systems. This is achieved by transmitting information via the selection of active antennas from a set of available antennas besides the transmission of conventional data symbols. GSM systems have been investigated concerning various aspects like suitable signal constellations, efficient detection algorithms, hardware implementations, spatial precoding, and error control coding. On the other hand, determining the capacity of GSM is challenging because no closed-form expressions have been found so far. This paper investigates the mutual information for different GSM variants. We consider a multilevel coding approach, where the antenna selection and IQ modulation are encoded independently. Combined with multistage decoding, such an approach enables low-complexity capacity-achieving coded modulation. The influence of the data symbols on the mutual information is illuminated. We analyze the portions of mutual information related to antenna selection and the IQ modulation processes which depend on the GSM variant and the signal constellation. Moreover, the potential of spatial modulation for massive MIMO systems with many transmit antennas is investigated. Especially in systems with many transmit antennas much information can be conveyed by antenna selection.
Knot placement for curve approximation is a well known and yet open problem in geometric modeling. Selecting knot values that yield good approximations is a challenging task, based largely on heuristics and user experience. More advanced approaches range from parametric averaging to genetic algorithms.
In this paper, we propose to use Support Vector Machines (SVMs) to determine suitable knot vectors for B-spline curve approximation. The SVMs are trained to identify locations in a sequential point cloud where knot placement will improve the approximation error. After the training phase, the SVM can assign, to each point set location, a so-called score. This score is based on geometric and differential geometric features of points. It measures the quality of each location to be used as knots in the subsequent approximation. From these scores, the final knot vector can be constructed exploring the topography of the score-vector without the need for iteration or optimization in the approximation process. Knot vectors computed with our approach outperform state of the art methods and yield tighter approximations.
Creative industry and cultural tourism destination Lake Constance - a media discourse analysis
(2020)
The following media discourse analysis examines the news media coverage of four regional online newspapers, about the topics “creative industries” and “cultural tourism” at Lake Constance region in the period from 2006 until 2016. The results show that, besides event-relater reporting, there is currently no vibrant media discourse on the topics “creative industries” and “cultural tourism”. Even though the image of the Lake Constance region is heavily influenced by tourism, “cultural tourism” also plays a secondary role when it comes to regional news reporting. Moreover, discourses do not overlap and thus no synergies within the local media discourse are formed. This result is relevant for the regional tourism development, because the cooperation between “creative industries” and “cultural tourism” creates opportunities such as the expansion of the tourism offer and an extension of the tourist season. To activate unused opportunities at the different destinations of the region, a supra-regional visibility of the sector “creative industries” should be developed and the cooperation of the sector with local stakeholders of cultural tourism should be promoted.
The Lake Constance region is due to its scenic attractiveness one of the most visited destinations in German-speaking countries. Scenic attractiveness as well as so-called landscape stereotypes also play a decisive role in tourism marketing. Tour operators reproduce supra-individual landscape concepts and establish mental geographies that ultimately influence the choice of destinations. A growing trend in tourism is the emergence of creative narratives in tourism marketing and tourism offers induced by creative companies. By means of a discourse-analytical investigation, whose theoretical and conceptual frame of reference is the hegemony and discourse theory of Laclau and Mouffe (1985), recurring landscape stereotypes are identified in tourist promotional material for the destination Bodensee. Based on these results as well as expert interviews with regional tourism stakeholders, a discussion of the creative economic potential for regional tourism marketing will take place. The investigation shows that these potentials are currently not being exhausted. At the same time, creative tourism can help a rural region, such as Lake Constance, to position itself as an alternative to city tourism, while at the same time addressing the lucrative target group 60plus.
To learn from the past, we analyse 1,088 "computer as a target" judgements for evidential reasoning by extracting four case elements: decision, intent, fact, and evidence. Analysing the decision element is essential for studying the scale of sentence severity for cross-jurisdictional comparisons. Examining the intent element can facilitate future risk assessment. Analysing the fact element can enhance an organization's capability of analysing criminal activities for future offender profiling. Examining the evidence used against a defendant from previous judgements can facilitate the preparation of evidence for upcoming legal disclosure. Follow the concepts of argumentation diagrams, we develop an automatic judgement summarizing system to enhance the accessibility of judgements and avoid repeating past mistakes. Inspired by the feasibility of extracting legal knowledge for argument construction and employing grounds of inadmissibility for probability assessment, we conduct evidential reasoning of kernel traces for forensic readiness. We integrate the narrative methods from attack graphs/languages for preventing confirmation bias, the argumentative methods from argumentation diagrams for constructing legal arguments, and the probabilistic methods from Bayesian networks for comparing hypotheses.
In the last decade, both sustainability and business models for sustainability have increased in importance. Sustainability issues have become the focus of discussion. These issues are interlinked and often negatively impact each other. They are complex and include socio-ecological dilemmas, exist in almost every aspect of our society (economic, environmental, social), and are hard to formulate. They may have multiple, incompatible solutions, competing objectives, and open timeframes. Previous research has not developed satisfactory ways to comprehend and solve problems of this nature. Life Cycle Assessment (LCA) the widely used method to assess sustainable development has reached its limitation to achieve sustainable social goals. System Dynamics (SD) is a valuable methodology that enhances understanding of the structure and internal dynamic behaviours of large, complex, and dynamic systems, leading to improved decision-making. It offers a philosophy and set of tools for modelling, analysing, and simulating dynamic systems. This research applied system dynamics methods in conjunction with simulation software to assess the potential impact of a solution on environmental, social, and economic aspects of a complex system, aims to gain insights into the system's behaviour and identify the potential consequences of interventions or policy changes across multiple dimensions. This paper responds to the urgent need for a new business model by presenting a concept for an adapted dynamic business modelling for sustainability (aDBMfS) using system dynamics. Case studies in the smartphone industry are applied.
Purpose
The goal of this research survey was to propose an entrepreneurship education model for students in higher education institutions.
Methodology
A questionnaire was distributed to 246 randomly sampled students at the Universitas Negeri Jakarta. The data was analyzed through Structural Equation Modeling to study the variables of entrepreneurship education for higher education students and examine whether it can be predicted by the university leadership as a facilitator of entrepreneurial culture, university departments as promoters of entrepreneurial skills, and university research as an incubator of local business
development.
Findings
The results show that university leadership as a facilitator of entrepreneurial culture is supported by the university leadership’s fostering a culture of entrepreneurial thinking. It was also evident that the university placed sufficient emphasis on entrepreneurial education, and it successfully motivated lecturers to embrace entrepreneurship education, and students to embrace entrepreneurship education. The results also indicated that university departments acted as promoters of entrepreneurial skills and stimulated students to attain sufficient entrepreneurial skills during their university education. Lastly, the university research also proved as an incubator of local business development and was found influenced by the university conducting research projects with local
private sector businesses and supporting graduates planning to launch start-ups.
Implications to Research and Practice
The survey results will provide valuable policy insights to improve entrepreneurship education. The university faculty and students would have opportunities to gain practical experience in local private sector businesses. The model of entrepreneurship education proposed herein can be applied for higher education students.
Unintrusive health monitoring systems is important when continuous monitoring of the patient vital signals is required. In this paper, signals obtained from accelerometers placed under a bed are processed with ballistocardiography algorithms and compared with synchronized electrocardiographic signals.
While managerial mobility is ubiquitously seen as an integral part of the success in firms’ internationalization, discerning its empirical merits has been impaired by the paucity of quasi-experimental evidence, or adequate instrumental variables. To overcome these objective limitations, this paper proposes a novel identification strategy, which uses a control function based on on-the-job search theory to correct estimates for the presence of self-selected mobility flows. Our analysis confirms the finding that managers’ specific market experience matters for firms’ internationalization, especially when it derives from longer tenures at the former jobs.
Regarding the attributes of managerial knowledge, our results reveal that on-the-job earned experience is at least as effective for firms’ internationalization as in born knowledge (i.e. origins) and that managers’ personal network of customers is an important asset in managers’ fund of expertise for the expansion into new markets.
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.
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.
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.
This study aims to adapt CEFR in developing an integrative approach-based teaching material model for a pre-basic BISOL class. The method used in this research is the development research design by Borg and Gall. This study was development research. The stages are identification of the problem, formulation of a hypothetical draft model; feasibility testing by experts; product revision; and test product effectiveness. The data were collected through survey techniques, interviews, and documentation. The needs identification results revealed data encompassing 10 themes, 5 tasks per theme, and diverse evaluations comprising theory, in-class practice, and real-world field assignments, both on an individual and group basis. These identified needs require alignment with CEFR A1 for the development of BISOL learning. These findings were subsequently incorporated into the design of the teaching material model, and the results indicated that tailoring CEFR to BISOL as an integrative language teaching material model was feasible for application in the classroom, as assessed by experts. The implications suggest that integrating CEFR into BISOL is highly feasible for the development of teaching materials, and teachers can leverage this instructional model to enhance students' proficiency in the Indonesian language.
Einsatz von Bankettbeton bei schmalen und stark beanspruchten Ortsverbindungs- und Kreisstraßen
(2021)
Als Grundlage für die im Zuge der Verkehrswende anfallenden Planungs- und Entscheidungsprozesse werden aktuelle und digitale Daten des Straßenraums benötigt. Mobile-Mapping-Systeme sind in der Lage, solche raumbezogenen Daten schnell, genau und flächendeckend zu erfassen. Die anfallenden Datenmengen sind dabei jedoch erheblich und der Zeitaufwand für eine manuelle Analyse durch Personen mit entsprechender Expertise immens. Daher ist eine Automatisierung wünschenswert. Der vorliegende Beitrag gibt einen praxisbezogenen Überblick über Anwendungsmöglichkeiten für Künstliche Intelligenz (KI) im Themenbereich Straßenraumerfassung. Aufbauend auf einer thematischen Einführung in Mobile Mapping und KI werden ausgewählte Anwendungen vorgestellt, bei denen KI-Ansätze typische Prozesse der Straßenraumdatenverarbeitung unterstützen und beschleunigen können.
Background
This is a systematic review protocol to identify automated features, applied technologies, and algorithms in the electronic early warning/track and triage system (EW/TTS) developed to predict clinical deterioration (CD).
Methodology
This study will be conducted using PubMed, Scopus, and Web of Science databases to evaluate the features of EW/TTS in terms of their automated features, technologies, and algorithms. To this end, we will include any English articles reporting an EW/TTS without time limitation. Retrieved records will be independently screened by two authors and relevant data will be extracted from studies and abstracted for further analysis. The included articles will be evaluated independently using the JBI critical appraisal checklist by two researchers.
Discussion
This study is an effort to address the available automated features in the electronic version of the EW/TTS to shed light on the applied technologies, automated level of systems, and utilized algorithms in order to smooth the road toward the fully automated EW/TTS as one of the potential solutions of prevention CD and its adverse consequences.
If the process contains a delay (dead time), the Nyquist criterion is well suited to derive a PI or PID tuning rule because the delay is taken into account without approximation. The tuning of the speed of the closed loop enters naturally by the crossover frequency. The goal of robustness and performance is translated into the phase margin.
Twenty-first century infrastructure needs to respond to changing demographics, becoming climate neutral, resilient, and economically affordable, while remaining a driver for development and shared prosperity. However, the infrastructure sector remains one of the least innovative and digitalized, plagued by delays, cost overruns, and benefit shortfalls. The authors assessed trends and barriers in the planning and delivery of infrastructure based on secondary research, qualitative
interviews with internationally leading experts, and expert workshops. The analysis concludes that the root-cause of the industry’s problems is the prevailing fragmentation of the infrastructure value chain and a lacking long-term vision for infrastructure. To help overcome these challenges, an integration of the value chain is needed. The authors propose that this could be achieved through a use-case-based, as well as vision and governance-driven creation of federated digital platforms applied to infrastructure projects and outline a concept. Digital platforms enable full-lifecycle participation and responsible governance guided by a shared infrastructure vision. This paper has contributed as policy recommendation to the Group of Twenty (G20) in 2021.
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.
Schreibberater an den Universitäten und Hochschulen und Verfasser von Ratgeberliteratur zum wissenschaftlichen Schreiben haben vermutlich zum überwiegenden Teil einen geistes- und kulturwissenschaftlichen Hintergrund. Die Fachkulturen, in denen sie das Handwerk des Zitierens erlernt haben, sind jedoch grundverschieden von jenen der nicht-textbasierten Wissenschaften: der Ingenieurfächer, der (nicht rein theoretischen) Naturwissenschaften, der Medizin und auch der empirischen Wirtschafts- und Sozialwissenschaften und der empirischen Psychologie. Die Unterschiede sind besonders augenfällig bei der Frage nach der Belegpflicht einer übernommenen Information, also bei der jeweiligen Entscheidung darüber, ob eine Quelle angegeben werden muss oder nicht.
Ignorantia doctorum
(2022)
Since the turn of the millennium, many writing centers have been established at universities in the German-speaking world, in order to support students in academic writing. This essay argues for offering subject-anchored directive guidance and using scientific texts as a basis for model learning. It states that the rhetorical tradition is hardly taken into account in the writing centers. Five arguments for this ignorance are discussed and, if possible, dispelled: the antiquity argument, which considers rhetoric outdated; the orality argument, which understands rhetoric as irrelevant to writing; the moral argument, which condemns rhetoric as a tool for demagogues; the positivist argument, which criticizes rhetoric as unempirical; and the didactic argument, which rejects rhetoric as a rigid doctrine. The discussion shows, however, that the rhetorical tradition, with its normative power and centuries of teaching practice, is a treasure trove of writing didactics that holds many resources, such as well-founded assessment criteria for the quality, appropriateness, and usefulness of texts.
Die GIGA-Adaptionsmethode
(2022)
Der Aufsatz stellt eine schreibdidaktische Lehrmethode vor, die auf einem Cicero-Zitat über das Aptum, die Angemessenheit des Stils, basiert. Nach einigen psychologischen Vorüberlegungen zur Differenz von Sprech- und Schreibsituation wird das Zitat im Hochschulschreibunterricht in Hinblick auf die darin genannten Stilfaktoren analysiert. Die Ergebnisliste dient als Grundlage einer Methode, mit der sich die stilistische Passgenauigkeit von Texten aller Art stark verbessern lässt. Ziel ist es, eine möglicherweise schreibferne Klientel dazu zu motivieren, zu einem musterhaften, zweckdienlichen, sachgerechten und zielgruppenorientierten Schreiben zu finden.
The present work proposes the use of modern ICT technologies such as smartphones, NFCs, internet, and web technologies, to help patients in carrying out their therapies. The implemented system provides a calendar with a reminder of the assumptions, ensures the drug identification through NFC, allows remote assistance from healthcare staff and family members to check and manage the therapy in real-time. The system also provides centralized information on the patient's therapeutic situation, helpful in choosing new compatible therapies.
Mapping of tree seedlings is useful for tasks ranging from monitoring natural succession and regeneration to effective silvicultural management. Development of methods that are both accurate and cost-effective is especially important considering the dramatic increase in tree planting that is required globally to mitigate the impacts of climate change. The combination of high-resolution imagery from unmanned aerial vehicles and object detection by convolutional neural networks (CNNs) is one promising approach. However, unbiased assessments of these models and methods to integrate them into geospatial workflows are lacking. In this study, we present a method for rapid, large-scale mapping of young conifer seedlings using CNNs applied to RGB orthomosaic imagery. Importantly, we provide an unbiased assessment of model performance by using two well-characterised trial sites together containing over 30,000 seedlings to assemble datasets with a high level of completeness. Our results showed CNN-based models trained on two sites detected seedlings with sensitivities of 99.5% and 98.8%. False positives due to tall weeds at one site and naturally regenerating seedlings of the same species led to slightly lower precision of 98.5% and 96.7%. A model trained on examples from both sites had 99.4% sensitivity and precision of 97%, showing applicability across sites. Additional testing showed that the CNN model was able to detect 68.7% of obscured seedlings missed during the initial annotation of the imagery but present in the field data. Finally, we demonstrate the potential to use a form of weakly supervised training and a tile-based processing chain to enhance the accuracy and efficiency of CNNs applied to large, high-resolution orthomosaics.
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.
Low-Code Development Plattformen (LCDPs) fördern die digitale Transformation von Organisationen, indem sie die Applikationsentwicklung durch FachbereichsmitarbeiterInnen ohne tiefgreifende Programmierkenntnisse – sogenannte Citizen Developer – ermöglichen. Marktforschungsinstitute prognostizieren, dass in den nächsten Jahren mehr als die Hälfte aller Applikationen mit LCDPs entwickelt werden. Nichtsdestotrotz stehen Organisationen vor der Herausforderung, sich für die richtigen Implementierungs- und Anwendungsansätze von LCDPs zu entscheiden. Dieser Artikel liefert daher ein umfassendes Bild über das praktische Verständnis und aktuelle Ansätze in verschiedenen Organisationen und leitet daraus Handlungsempfehlungen ab. Dafür wurden 16 Experteninterviews durchgeführt und wissenschaftlich analysiert. Die Ergebnisse zeigen, dass die Praxis grundsätzlich ein ähnliches Verständnis des Begriffs LCDP hat. Die Initiative für die Einführung kommt meist aus den Fachbereichen, die Entscheidung für oder gegen die LCDP-Implementierung wird jedoch meist von der Geschäftsführung in Kooperation mit der IT-Abteilung getroffen. Dabei unterscheiden sich die aktuellen Anwendungsansätze: Unternehmen nutzen entweder einen Self-Service-Ansatz durch die Fachbereiche oder integrieren die Entscheidung über eine potenzielle LCDP-Entwicklung durch die Citizen Developer in das bestehende Demand-Management der IT-Abteilung. Eine etablierte und adaptive Governance ist für beide Ansätze eine wichtige Voraussetzung. Die Erkenntnisse des Beitrags tragen zur wissenschaftlichen Diskussion bei, da dieser Artikel eine der ersten umfassenden und wissenschaftlich fundierten qualitativen Analysen über aktuelle praktische Adoptionsansätze der Praxis liefert. PraktikerInnen erfahren zudem, wie andere Unternehmen mit aktuellen Herausforderungen umgehen und welche Ansätze erfolgversprechend sind.
Error correction coding based on soft-input decoding can significantly improve the reliability of non-volatile flash memories. This work proposes a soft-input decoder for generalized concatenated (GC) codes. GC codes are well suited for error correction in flash memories for high reliability data storage. We propose GC codes constructed from inner extended binary Bose-Chaudhuri-Hocquenghem (BCH) codes and outer Reed-Solomon codes. The extended BCH codes enable an efficient hard-input decoding. Furthermore, a low-complexity soft-input decoding method is proposed. This bit-flipping decoder uses a fixed number of test patterns and an algebraic decoder for soft-decoding. An acceptance criterion for the final candidate codeword is proposed. Combined with error and erasure decoding of the outer Reed-Solomon codes, this acceptance criterion can improve the decoding performance and reduce the decoding complexity. The presented simulation results show that the proposed bit-flipping decoder in combination with outer error and erasure decoding can outperform maximum likelihood decoding of the inner codes.
As part of large-scale project in the Lake Constance region that borders Germany, Austria and Switzerland, seamless learning prototypes are designed, implemented, and evaluated. A design-based research (DBR) approach is used for the development, implementation and evaluation. The project consists of one base project that brings together instructional design and instructional technology specialists as well as (educational) software architects, supporting seven subprojects in developing seamless-learning lighthouse implementations mostly within higher and further education.
Industrial partners are involved in all subprojects. The authors are unaware of similar seamless learning projects using a DBR approach that include evaluation and redesign and allow for comparison of experiences by applying DBR across subprojects. The project aims to generate novel seamless learning implementations, respective novel research and novel software supporting different aspects of seamless learning. The poster will present the project design, delineate areas of research and development, and include initial empirical results.
Experimental Validation of Ellipsoidal Techniques for State Estimation in Marine Applications
(2022)
A reliable quantification of the worst-case influence of model uncertainty and external disturbances is crucial for the localization of vessels in marine applications. This is especially true if uncertain GPS-based position measurements are used to update predicted vessel locations that are obtained from the evaluation of a ship’s state equation. To reflect real-life working conditions, these state equations need to account for uncertainty in the system model, such as imperfect actuation and external disturbances due to effects such as wind and currents. As an application scenario, the GPS-based localization of autonomous DDboat robots is considered in this paper. Using experimental data, the efficiency of an ellipsoidal approach, which exploits a bounded-error representation of disturbances and uncertainties, is demonstrated.
Reliability Assessment of an Unscented Kalman Filter by Using Ellipsoidal Enclosure Techniques
(2022)
The Unscented Kalman Filter (UKF) is widely used for the state, disturbance, and parameter estimation of nonlinear dynamic systems, for which both process and measurement uncertainties are represented in a probabilistic form. Although the UKF can often be shown to be more reliable for nonlinear processes than the linearization-based Extended Kalman Filter (EKF) due to the enhanced approximation capabilities of its underlying probability distribution, it is not a priori obvious whether its strategy for selecting sigma points is sufficiently accurate to handle nonlinearities in the system dynamics and output equations. Such inaccuracies may arise for sufficiently strong nonlinearities in combination with large state, disturbance, and parameter covariances. Then, computationally more demanding approaches such as particle filters or the representation of (multi-modal) probability densities with the help of (Gaussian) mixture representations are possible ways to resolve this issue. To detect cases in a systematic manner that are not reliably handled by a standard EKF or UKF, this paper proposes the computation of outer bounds for state domains that are compatible with a certain percentage of confidence under the assumption of normally distributed states with the help of a set-based ellipsoidal calculus. The practical applicability of this approach is demonstrated for the estimation of state variables and parameters for the nonlinear dynamics of an unmanned surface vessel (USV).
Schatten-IT
(2015)
Das Thema Schatten-IT hat erst in den letzten Jahren in Wissenschaft und Praxis erheblich an Bedeutung gewonnen.1 Unter dem Begriff Schatten-IT werden dabei Systeme verstanden, welche die Fachbereiche in Eigenregie beschaffen oder erstellen und die nicht in das IT-Servicemanagement des Unternehmens eingebunden sind.2 Das Thema Schatten-IT ist dabei weder neu noch selten. Trotz dieser langen Geschichte war über die Verbreitung der Schatten-IT wenig Genaues bekannt. Im einem Beitrag in dieser Zeitschrift im Jahr 2011 haben wir die Risiken der Schatten-IT beschrieben und damit die Notwendigkeit für die Auseinandersetzung mit dem Thema Schatten-IT hergeleitet.3 Im Forschungsprojekt Schatten-IT des Konstanzer Instituts für Prozesssteuerung wurde dann in den vergangenen Jahren eine Methode zum Management der Schatten-IT entwickelt und in verschiedenen Fallstudien evaluiert. Ziel dieses Beitrages ist es, die empirischen Ergebnisse aus den Fallstudien vorzustellen.4 Die Datenbasis bilden dabei die Fallstudien in vier Unternehmen, in denen insgesamt 386 Schatten-IT Systeme gefunden wurden. Zwei der Unternehmen stammen aus der Finanz- und Versicherungsbranche, die beiden anderen aus der Fertigungsindustrie. Je ein Abteilungsbereich wurde für die Untersuchung herangezogen. Aus diesen Fallstudien stellt der Beitrag im zweiten Kapitel die Ausprägungen der aufgedeckten Schatten-IT vor. Im dritten Kapitel folgt dann die Beschreibung der geschäftlichen Relevanz der Schatten-IT. Im vierten Abschnitt gehen wir auf die Qualität der Schatten-IT Systeme ein. In der Fortsetzung des Artikels werden in einem weiteren Beitrag die möglichen Prüfungsansätze beschrieben.
Schatten-IT (Teil 2)
(2017)
Nach heutigem Stand der Technik kommen für die Dekontamination von Störstellen wie z.B. Ecken und Innenkanten, weitestgehend Technik aus dem konventionellen Sanierungsbereich zum Einsatz. Maschinen wie Nadelpistolen und Stockgeräte belasten das Arbeitspersonal mit starken Vibrationen und hohen Rückstellkräften. Daher sind entsprechend lange Pausenzeiten erforderlich, wodurch die ohnehin schon geringe Abtragleistung weiter gesenkt wird. Neben dem zusätzlichen Mehraufwand kann die Technik, aufgrund fehlender Absaugungseinrichtungen, unter Umständen zu einer Kontaminationsverschleppung führen. Hierbei werden in bereits dekontaminierten Bereichen kontaminierte Partikel verteilt, wodurch die erzielten Bearbeitungsfortschritte teilweise rückgängig gemacht werden.
Aufgrund der Vielzahl von Nachteilen, die bei den bisher eingesetzten Geräten auftreten, wurde das Forschungsprojekt EKONT-1 zur „Entwicklung eines innovativen, teilautomatisierten Gerätes für eine trocken-mechanische Ecken-, Kanten- und Störstellendekontamination in kerntechnischen Anlagen“ angestoßen und durchgeführt. Im Rahmen dieses Projektes konnten viele neue Erkenntnisse gewonnen und mehrere funktionsfähige Prototypen entwickelt, gebaut und sowohl im Labor als auch im praktischen Einsatz getestet werden. Da im Laufe der Versuche noch einige Verbesserungspotenziale aufgetreten sind, wurde zum 01.07.23 das Folge Projekt EKONT-2 gestartet, was sich mit der Weiterentwicklung der existierenden Prototypen beschäftigt.
Technologiebasierte Startups leisten einen wesentlichen Beitrag zur wirtschaftlichen sowie gesellschaftlichen Entwicklung. Im Zuge ihrer Gründung benötigen sie Unterstützung in Form von Risikokapital, das in der Seed- und Early-Stage primär durch Business Angels (BAs) bereitgestellt wird. Die Abläufe und Bewertungskriterien des BA Investmentprozesses sind bisher jedoch unzureichend erforscht. Der vorliegende Beitrag nutzt Experteninterviews im Rahmen einer Fallstudie des baden-württembergischen entrepreneurialen Ökosystems zur Identifikation des Vorgehens von BAs bei der Bewertung und Auswahl technologiebasierter Startups. Zudem werden die Kriterien, nach denen BAs vielversprechende von scheiternden Startups unterscheiden abgeleitet. Somit trägt der Beitrag zur Öffnung der „Black Box” von Investmentaktivitäten in den frühsten Gründungsphasen bei.
Digitalisierung im Bauwesen
(2015)
We identify 74 generic, reusable technical requirements based on the GDPR that can be applied to software products which process personal data. The requirements can be traced to corresponding articles and recitals of the GDPR and fulfill the key principles of lawfulness and transparency. Therefore, we present an approach to requirements engineering with regard to developing legally compliant software that satisfies the principles of privacy by design, privacy by default as well as security by design.
The overall goal of this work is to detect and analyze a person's movement, breathing and heart rate during sleep in a common bed overnight without any additional physical contact. The measurement is performed with the help of
sensors placed between the mattress and the frame. A two-stage pattern classification algorithm based has been implemented that applies statistics analysis to recognize the position of patients. The system is implemented in a sensors-network, hosting several nodes and communication end-points to support quick and efficient classification. The overall tests show convincing results for the position recognition and a reasonable overlap in matching.
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.
Four-Dimensional Hurwitz Signal Constellations, Set Partitioning, Detection, and Multilevel Coding
(2021)
The Hurwitz lattice provides the densest four-dimensional packing. This fact has motivated research on four-dimensional Hurwitz signal constellations for optical and wireless communications. This work presents a new algebraic construction of finite sets of Hurwitz integers that is inherently accompanied by a respective modulo operation. These signal constellations are investigated for transmission over the additive white Gaussian noise (AWGN) channel. It is shown that these signal constellations have a better constellation figure of merit and hence a better asymptotic performance over an AWGN channel when compared with conventional signal constellations with algebraic structure, e.g., two-dimensional Gaussian-integer constellations or four-dimensional Lipschitz-integer constellations. We introduce two concepts for set partitioning of the Hurwitz integers. The first method is useful to reduce the computational complexity of the symbol detection. This suboptimum detection approach achieves near-maximum-likelihood performance. In the second case, the partitioning exploits the algebraic structure of the Hurwitz signal constellations. We partition the Hurwitz integers into additive subgroups in a manner that the minimum Euclidean distance of each subgroup is larger than in the original set. This enables multilevel code constructions for the new signal constellations.
Die Seewassernutzung weist ein beachtliches Potential zu Kühl- und Heizzwecken auf. Bereits seit längerem eingesetzte seewasserbetriebene Wärmepumpen in der Schweiz beweisen fortwährend ihre Praxistauglichkeit. In Deutschland wird diese Technik jedoch bislang kaum genutzt. Mit Hilfe eines interdisziplinären geowissenschaftlichen Ansatzes wird derzeit das bestehende Potential in Deutschland quantifiziert und dessen Nutzungshemmnisse identifiziert, um in einem weiteren Schritt Handlungsoptionen für einen verstärkten Einsatz dieser Technologie zu erarbeiten.
Bedingt durch den fortwährenden Ausbau erneuerbarer Energien steigt die Bedeutung von regelenergiebereitstellenden Technologien kontinuierlich an. Prinzipiell können bereits heute Laufwasserkraftwerke mittels einer Durchlaufspeicherung Regelenergie bereitstellen. Bislang gibt es jedoch keinen einheitlichen Kriterienkatalog, der die technische Durchführbarkeit einer Durchlaufspeicherung bewertet. Im vorliegenden Beitrag wird ein solcher Katalog vorgestellt und am Beispiel des Unteren Neckars angewandt. Unter rein technischen Gesichtspunkten ist eine Durchlaufspeicherung zwar prinzipiell denkbar, allerdings unterbinden schifffahrtsbedingte Restriktionen eine solche Bereitstellung von Regelenergie. Es wird daher empfohlen, eine Durchlaufspeicherung generell an Gewässern ohne strikte Auflagen durch die Schifffahrt zu betreiben. Außerdem ist der Zusammenschluss von mehreren Staustufen zu einem virtuellen Kraftwerk sinnvoll, um zusätzlich generierbare Strommengen gebündelt anbieten zu können.
Electricity generation from renewable energies often fluctuates due to weather and other natural effects. The instrument of control energy (balancing energy) can compensate for these fluctuations and thus guarantee the system and supply security of the electricity grid. Luxury hotels on tourist islands could react to fluctuations in electricity generation and provide balancing energy. The purpose of this paper is to investigate the electricity consumption of luxury hotels to assess their potential as a source for providing control energy.
Schwankende Fahrrinnentiefen stellen eine Herausforderung für die verladende Wirtschaft dar, die auf kostengünstigen Transport von Massengütern per Binnenschiff angewiesen ist. Basierend auf Unternehmensbefragungen wurde ein Modell entwickelt, das nicht nur die Verwundbarkeit von Unternehmen gegenüber schwankenden Fahrrinnentiefen für Vergangenheit, Gegenwart und Zukunft berechnen kann, sondern auch die positive Wirkung von Anpassungsmaßnahmen. Nachdem in einem früheren Artikel die Auswirkungen des Klimawandels quantifiziert wurden, wird nun hier die Wirksamkeit verschiedener Anpassungsmaßnahmen vergleichend für Unternehmen an Rhein und Elbe vorgestellt.
Climate protection in Seychelles through tourism: the advantages of a small-sized destination
(2020)
CO2 abatement costs are often low in developing countries. This is why most carbon offset projects are being implemented there. Nevertheless, this does not mean that the holiday resort and the project country are in any way related to each other. Linking compensation projects with the destination country could increase the willingness of air travellers to finance voluntary CO2 compensation measures.
This paper describes how a possible combination of CO2 compensation projects in the Seychelles could affect the voluntary carbon offset behaviour of Seychelles tourists. On the one hand, the issue of whether the voluntary willingness of Seychelles travellers to compensate can be increased is examined; on the other hand, whether tourists would be willing to visit a co-financed project in the Seychelles.
As a result, the willingness of tourists to offset air-travel carbon emissions can be increased. Important factors for this are e.g. that all persons have adequate information and that the carbon offset providers display a high degree of transparency. In addition, a broad interest in visiting the projects in the Seychelles during the holiday was expressed. An important condition for this is the spatial vicinity to the project. Due to its small size, the Seychelles are an ideal location for fulfilling this premise.
Input–Output modellers are often faced with the task of estimating missing Use tables at basic prices and also valuation matrices of the individual countries. This paper examines a selection of estimation methods applied to the European context where the analysts are not in possession of superior data. The estimation methods are restricted to the use of automated methods that would require more than just the row and column sums of the tables (as in projections) but less than a combination of various conflicting information (as in compilation). The results are assessed against the official Supply, Use and Input–Output tables of Belgium, Germany, Italy, Netherlands, Finland, Austria and Slovakia by using matrix difference metrics. The main conclusion is that using the structures of previous years usually performs better than any other approach.
Modular arithmetic over integers is required for many cryptography systems. Montgomeryreduction is an efficient algorithm for the modulo reduction after a multiplication. Typically, Mont-gomery reduction is used for rings of ordinary integers. In contrast, we investigate the modularreduction over rings of Gaussian integers. Gaussian integers are complex numbers where the real andimaginary parts are integers. Rings over Gaussian integers are isomorphic to ordinary integer rings.In this work, we show that Montgomery reduction can be applied to Gaussian integer rings. Twoalgorithms for the precision reduction are presented. We demonstrate that the proposed Montgomeryreduction enables an efficient Gaussian integer arithmetic that is suitable for elliptic curve cryptogra-phy. In particular, we consider the elliptic curve point multiplication according to the randomizedinitial point method which is protected against side-channel attacks. The implementation of thisprotected point multiplication is significantly faster than comparable algorithms over ordinary primefields.
The Lempel–Ziv–Welch (LZW) algorithm is an important dictionary-based data compression approach that is used in many communication and storage systems. The parallel dictionary LZW (PDLZW) algorithm speeds up the LZW encoding by using multiple dictionaries. This simplifies the parallel search in the dictionaries. However, the compression gain of the PDLZW depends on the partitioning of the address space, i.e. on the sizes of the parallel dictionaries. This work proposes an address space partitioning technique that optimises the compression rate of the PDLZW. Numerical results for address spaces with 512, 1024, and 2048 entries demonstrate that the proposed address partitioning improves the performance of the PDLZW compared with the original proposal. These address space sizes are suitable for flash storage systems. Moreover, the PDLZW has relative high memory requirements which dominate the costs of a hardware implementation. This work proposes a recursive dictionary structure and a word partitioning technique that significantly reduce the memory size of the parallel dictionaries.
The Burrows–Wheeler transformation (BWT) is a reversible block sorting transform that is an integral part of many data compression algorithms. This work proposes a memory-efficient pipelined decoder for the BWT. In particular, the authors consider the limited context order BWT that has low memory requirements and enable fast encoding. However, the decoding of the limited context order BWT is typically much slower than the encoding. The proposed decoder pipeline provides a fast inverse BWT by splitting the decoding into several processing stages which are executed in parallel.
This work presents a new concept to implement the elliptic curve point multiplication (PM). This computation is based on a new modular arithmetic over Gaussian integer fields. Gaussian integers are a subset of the complex numbers such that the real and imaginary parts are integers. Since Gaussian integer fields are isomorphic to prime fields, this arithmetic is suitable for many elliptic curves. Representing the key by a Gaussian integer expansion is beneficial to reduce the computational complexity and the memory requirements of secure hardware implementations, which are robust against attacks. Furthermore, an area-efficient coprocessor design is proposed with an arithmetic unit that enables Montgomery modular arithmetic over Gaussian integers. The proposed architecture and the new arithmetic provide high flexibility, i.e., binary and non-binary key expansions as well as protected and unprotected PM calculations are supported. The proposed coprocessor is a competitive solution for a compact ECC processor suitable for applications in small embedded systems.
This paper examines how varying antidumping methodologies applied within the World Trade Organization differ in the extent to which they reduce targeted exports. We show that antidumping duties, on average, hit Chinese exporters harder than those of other targeted countries. This difference can be traced back in part to China's non-market economy status, which affects the way antidumping duties are calculated. Furthermore, we show that the type of imposed duty matters, as ad-valorem duties affect exports differently compared to specific duties or duties conditional on the export price. Overall, however, antidumping duties remain effective in reducing imports independent of market economy status.
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%.
Auslegung von Radsatzwellen unter Berücksichtigung des maximalen, dynamischen Torsionsmoments
(2021)
Der vorgestellte Bericht verdeutlicht denEinfluss des dynamischen Torsionsmomentsinfolge von selbsterregten Radsatz-Torsionsschwingungen auf den Festigkeitsnachweisvon Radsatzwellen. Durch dieanalytische Berechnung des maximalen,dynamischen Torsionsmoments werdenkausale Zusammenhänge erkennbar, diebei der Dimensionierung von Radsätzenhilfreich sind. So führt eine Vergröβerungdes Radsatzwellendurchmessers aufgrundder zunehmenden Torsionssteifigkeitzwar zu höheren Momenten, bewirktaber gleichzeitig eine deutlich niedrigereVergleichsspannung. Durch gröβereDurchmesser der Radsatzwelle ist, infolgegeringerer Fugendrücke, allerdings auchmit einer Schwächung der Pressverbändezu rechnen. In jedem Fall sind im Hinblickauf den Festigkeitsnachweis kleine Radradienvorteilhaft. Sollten Radradius undRadsatzwellendurchmesser nicht optimiertwerden können, kann zur weiteren Absicherungdes Festigkeitsnachweises derWerkstoff EA4T verwendet werden.
Die vorgestellte analytische Berechnungsmethode führt, unter Berücksichtigung desKraftschlusses, der Radsatzdimensionierungund der Dämpfungseigenschaft des Antriebssystems, zu einem konservativ berechnetendynamischen Torsionsmoment.Die ermittelten Abweichungen zeigenleicht gröβere Werte gegenüber der Messungund über einen breiten Parameterbereichtendenziell gröβere Werte gegenüber der Simulation. Demnach stellt die Methodeeinen pragmatischen Ansatz dar, dasmaximale, dynamische Torsionsmomentfür die Auslegung von Radsatzwelle ausreichendkonservativ zu berechnen.
Stadtbaukunst
(2021)
Notizen zur Stadtbaukunst
(2021)
Bedarf es heute einer institutionalisierten Stadtbaukunst? Als Gegenbewegung zur schematischen, mechanischen Stadterweiterungspraxis entwickelte sich Stadtbaukunst gegen Ende des 19. Jahrhunderts und fand in Praxis und Diskurs ihren Höhepunkt vor dem Ersten Weltkrieg. Seit einigen Jahren wird nun von verschiedenen Seiten deren Neuentdeckung und Neubewertung eingefordert. Doch die Lage heute ist eine andere als die vor über hundert Jahren. Was bedeutet das für die Idee einer Stadtbaukunst im Zusammenspiel mit Städtebau, Architektur und Stadtplanung?
Der hybride Baublock behauptet sich in Deutschland nach wie vor als erfolgreichster und beliebig kopierbarer Stadtbaustein der städtebaulichen Wettbewerbe, so der Autor in einer Analyse wichtiger Entscheidungen der letzten drei Jahre. Allerdings steht das Wohnhochhaus vor einem erstaunlichen Comeback.
So is About Urbanity
(2016)
Südstadt Tübingen is a successful military land redevelopment project, in which functional mix and urban diversity have been identified as main goals. In the whole development process, joint building venture has been utilized as important urban development instrument. On one hand, this instrument helps citizens development adaptive and affordable living space and let them find own identity to the new quarter; on the other hand, it is also important to cultivate urban diversity and suitable spatial feeling, mix relationship in living and working conditions, so that the quarters will have very flexible structure to accommodate diversified urban life styles.
While driving, stress is caused by situations in which the driver estimates their ability to manage the driving demands as insufficient or loses the capability to handle the situation. This leads to increased numbers of driver mistakes and traffic violations. Additional stressing factors are time pressure, road conditions, or dislike for driving. Therefore, stress affects driver and road safety. Stress is classified into two categories depending on its duration and the effects on the body and psyche: short-term eustress and constantly present distress, which causes degenerative effects. In this work, we focus on distress. Wearable sensors are handy tools for collecting biosignals like heart rate, activity, etc. Easy installation and non-intrusive nature make them convenient for calculating stress. This study focuses on the investigation of stress and its implications. Specifically, the research conducts an analysis of stress within a select group of individuals from both Spain and Germany. The primary objective is to examine the influence of recognized psychological factors, including personality traits such as neuroticism, extroversion, psychoticism, stress and road safety. The estimation of stress levels was accomplished through the collection of physiological parameters (R-R intervals) using a Polar H10 chest strap. We observed that personality traits, such as extroversion, exhibited similar trends during relaxation, with an average heart rate 6% higher in Spain and 3% higher in Germany. However, while driving, introverts, on average, experienced more stress, with rates 4% and 1% lower than extroverts in Spain and Germany, respectively.
To evaluate the quality of sleep, it is important to determine how much time was spent in each sleep stage during the night. The gold standard in this domain is an overnight polysomnography (PSG). But the recording of the necessary electrophysiological signals is extensive and complex and the environment of the sleep laboratory, which is unfamiliar to the patient, might lead to distorted results. In this paper, a sleep stage detection algorithm is proposed that uses only the heart rate signal, derived from electrocardiogram (ECG), as a discriminator. This would make it possible for sleep analysis to be performed at home, saving a lot of effort and money. From the heart rate, using the fast Fourier transformation (FFT), three parameters were calculated in order to distinguish between the different sleep stages. ECG data along with a hypnogram scored by professionals was used from Physionet database, making it easy to compare the results. With an agreement rate of 41.3%, this approach is a good foundation for future research.
„Das Gedächtnis des Sees“
(2016)
Wie können archäologische Forschungsergebnisse einer breiten Öffentlichkeit möglichst eindrücklich und nachvollziehbar vermittelt werden? Am Beispiel der UNESCO-Welterbestätte Pfahlbausiedlung Hornstaad demonstrieren Studierende der Hochschule für Technik, Wirtschaft und Gestaltung Konstanz (HTWG) die Visualisierung komplexer wissenschaftlicher Inhalte mithilfe moderner Virtual-
Reality-Brillen-Technologie (VR-Brillen). Eine dreidimensionale digitale Rekonstruktion der Pfahlbausiedlung und Simulation von Tages- und Jahresverlauf in Verbindung mit der realen Bewegung im Ausstellungsraum ermöglichen dem Betrachter das hautnahe Erleben des Alltags in einer neolithischen Siedlung.
Das Ausstellungsprojekt „Das Gedächtnis des Sees“ wird im Rahmen der Großen Landesaustellung „4000 Jahre Pfahlbauten“ zu sehen sein.
In einigen europäischen Nachbarländern herrschen weitaus schlechtere Voraussetzungen für die Binnen-schifffahrt als in Deutschland. Die wenigsten Länder verfügen über eine so effiziente Wasserstraße wie beispielsweise den Rhein. Dennoch forcieren nicht wenige die Verlagerung von Transporten von der Straße auf das Binnenschiff.
Der Bodensee und das in ihm gespeicherte Wasser dient vielen Zwecken: Neben seiner ökologischen Bedeutung für die Region ist er Trinkwasserquelle und Schifffahrtsweg, wird für Freizeit und Naherholung genutzt. Die Schifffahrt stellt eine der zentralen Attraktionen am Bodensee dar – sie zieht Tagesausflügler und Naherholungssuchende ebenso an wie Urlauber. Der Tourismus ist dabei eine der zentralen Einkommensquellen am Bodensee. Während der Niedrigwasserereignisse der letzten Jahre wurden jedoch die verschiedenen Schifffahrtstypen beeinträchtigt. Dies traf den Tourismus wie auch Berufspendler, Häfen, anliegende Gemeinden und den Gütertransport. Der Beitrag verdeutlicht die Bedeutung der Bodenseeschifffahrt und nennt einige Folgen der Niedrigwasserereignisse der letzten Jahre.
Schon die Römer nutzten die Binnenschifffahrt für den Transport ihrer Güter (SCHRöTER 2005). Noch heute stellt die Binnenschifffahrt auf dem Rhein einen wichtigen Standortfaktor dar, weshalb sich viele Unternehmen, die auf den Transport von Massengütern angewiesen sind, an seinen Ufern niedergelassen haben, um die Binnenschifffahrt als günstiges Transportmittel nutzen zu können (ROTHSTEIN et al. 2009, SCHOLTEN et al. 2009).
Im folgenden Artikel wird sowohl kurz die wirtschaftliche Bedeutung der Binnenschifffahrt auf dem Rhein angesprochen als auch deren rezente und zukünftige Entwicklung. Dabei werden auch die Auswirkungen niedriger Fahrrinnentiefen auf die Transportkapazität der Binnenschifffahrt betrachtet.
The effect on the mean-variance space of restrictions on a variable is investigated in this
paper. A restriction may be the placing of upper and lower bounds on a variable.
Another limitation is the loss of the continuity of a variable.
Average marks for Examinations are considered in an application of this limited meanvariance
space. In this case, the bounds are given by the highest and the lowest possible mark (e.g. 1.0 and 5.0). The limitation of the mean-variance space depends on the number of students who participate in the examination. The restriction of the loss of continuity is shown by the use of discrete marks (e.g. 1.0, 1.3, 1.7, 2.0, …). Furthermore,
the Target-Shortfall-Probability lines are integrated into the mean-variance space. These
lines are used to indicate the proportion of students who have good or very good marks in the examination. In financial markets, Target-Shortfall-Probability is used as a risk criterion.
Noteninflation
(2014)
The estimation of the holding periods of financial products has to be done in a dynamic process in which the size of the observation time interval influences the result. Small intervals will produce smaller average holding periods than bigger ones. The approach developed in this paper offers the possibility of estimating this average independently of the size of this time interval. This method is demonstrated on the example of two distributions, based on the exponential and the geometric probability functions. The estimation will be found by maximizing the likelihood function.
Insecurity Refactoring is a change to the internal structure of software to inject a vulnerability without changing the observable behavior in a normal use case scenario. An implementation of Insecurity Refactoring is formally explained to inject vulnerabilities in source code projects by using static code analysis. It creates learning examples with source code patterns from known vulnerabilities.
Insecurity Refactoring is achieved by creating an Adversary Controlled Input Dataflow tree based on a Code Property Graph. The tree is used to find possible injection paths. Transformation of the possible injection paths allows to inject vulnerabilities. Insertion of data flow patterns introduces different code patterns from related Common Vulnerabilities and Exposures (CVE) reports. The approach is evaluated on 307 open source projects. Additionally, insecurity-refactored projects are deployed in virtual machines to be used as learning examples. Different static code analysis tools, dynamic tools and manual inspections are used with modified projects to confirm the presence of vulnerabilities.
The results show that in 8.1% of the open source projects it is possible to inject vulnerabilities. Different inspected code patterns from CVE reports can be inserted using corresponding data flow patterns. Furthermore the results reveal that the injected vulnerabilities are useful for a small sample size of attendees (n=16). Insecurity Refactoring is useful to automatically generate learning examples to improve software security training. It uses real projects as base whereas the injected vulnerabilities stem from real CVE reports. This makes the injected vulnerabilities unique and realistic.