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The purpose of this paper is to study the impact of transparency on the political budget cycle (PBC) over time and across countries. So far, the literature on electoral cycles finds evidence that cycles depend on the stage of an economy. However, the author shows – for the first time – a reliance of the budget cycle on transparency. The author uses a new data set consisting of 99 developing and 34 Organization for Economic Cooperation and Development countries. First, the author develops a model and demonstrates that transparency mitigates the political cycles. Second, the author confirms the proposition through the econometric assessment. The author uses time series data from 1970 to 2014 and discovers smaller cycles in countries with higher transparency, especially G8 countries.
Die Europäische Währungs- und Wirtschaftsunion (EWWU) bedarf einer weiteren Stabilisierung, da die institutionellen Regelungen langfristig keine hinreichende Bindekraft auf die Mitgliedsländer entfalten. Die Herausforderung ist die Rückgewinnung der verlorengegangenen Glaubwürdigkeit in das Regelwerk im Zuge der europäischen Staatsverschuldungskrise seit dem Jahr 2010. Um die Währungsunion zu erhalten, muss einerseits im Primärrecht das "No Bailout" in Art. 125 AEUV glaubwürdig angewandt werden können und andererseits die Regelungen im Sekundärrecht, u.a. der Stabilitäts- und Wachstumspakt, der Fiskalpakt oder das europäische Semester, unabhängiger und schneller rechtsverbindlich vollzogen werden. Der hier vorgeschlagene und klug in den europäischen Rahmen eingepasste "staatliche Insolvenzmechanismus", verbunden mit einer im Ultima Ratio rechtsverbindlichen "Austrittsklausel" wäre ein Lösungsansatz. Ein Scheitern der EWWU ist abwendbar, aber der fehlende Reformwille könnte dem Zerfall der Währungsunion Vorschub leisten.
This paper describes a new method for condition monitoring of a roller chain. In contrast to conventional methods, no additional accelerometers are used to measure and interpret frequency spectra but the chain condition is evaluated using an easy to interpret similarity measure based on correlation functions using the driving motor torque. An additional clustering of current data and reference measurements yields an easy to understand representation of the chain condition.
In this paper we describe the design and development process of an electromagnetic picker for rivets. These rivets are used in a production process of leather or textile design objects like riveted waist belts or purses. The picker is designed such that it replaces conventional mechanical pickers thus avoiding mechanical wear problems and increasing the process quality. The paper illustrates the challenges in the design process of this mechatronic system. The design process was based on both simulation and experiments leading to a prototype that satisfies the requirements.
In retail environments, consumers commonly evaluate products while standing on some type of flooring and concurrently being exposed to music; however, no study has examined the interaction of these two atmospheric cues. To bridge this gap, this research examines whether retailers can benefit from creating multisensory atmospheric congruent rather than incongruent retail environments of flooring and music. The results of an experiment in a real retail store reveal positive effects of multisensory congruent retail environments (e.g., soft music combined with soft flooring) on product evaluations. This study provides a new process explanation with consumers’ purchase-related self-confidence mediating these effects. Specifically, consumers in congruent rather than incongruent retail environments experience more purchase-related self confidence, which in turn leads to more favorable product evaluations. Furthermore, this study shows that consumers with a low rather than a high preference for haptic information are influenced more by multisensory atmospheric congruence when evaluating a product haptically.
As the market penetration of alternative fuel vehicles is still uncertain, defining green design cues for their design is of specific relevance to target environmentally conscious customers. This paper is a review of the existing literature aiming at summarizing the market penetration scenarios of alternative fuel vehicles over the next years, consumer demand for sustainable materials, and present methodologies to represent characteristics of eco-friendly mobility in the interior of alternative fuel vehicles. In particular, present attempts to correlate materials with green design cues are explored. Finally, projections for the future of the field are suggested, posing enchanting research questions to further unify the field of environmentally conscious design with the domain of product personality.
Werkstoffkundeunterricht wird in den allermeisten Fällen als reiner Frontalunterricht abgehalten. Ergänzender Laborunterricht zur Werkstoffkunde findet teilweise statt, nur beziehen sich hier die durchgeführten Experimente größtenteils auf sehr wenige Teilgebiete, wie z.B. den Zugversuch. Im Curriculum mancher Studiengänge ist für derartige im Labor druchgeführte Experimente gar keine Zeit vorgesehen. Das Wissen muss komplett im Unterricht vermittelt werden.
Ziel von ExperiMat ist es, praxistaugliche Schauexperimente für den werkstoffkundlichen Unterricht zu beschreiben.
- Die zunehmende Digitalisierung stellt sowohl Unternehmen als auch deren Mitarbeiter vor viele neue Herausforderungen und bietet zugleich ein hohes Chancenpotenzial.
- Die Chance, das mit der Digitalisierung verbundene Potenzial zu heben, ist abhängig von der Konsequenz der Umsetzung der Digitalisierung.
- Voraussetzung für eine erfolgreiche Umsetzung ist eine Digitalisierungsstrategie, die den Weg und die Ziele für alle Beteiligten transparent, nachvollziehbar und erstrebenswert macht.
- Eine gelebte und von allen mitgetragene Digitalisierungsstrategie impliziert eine Kulturveränderung im Unternehmen.
Digitization fosters the development of IT environments with many rather small structures, like Internet of Things (IoT), microservices, or mobility systems. They are needed to support flexible and agile digitized products and services. The goal is to create service-oriented enterprise architectures (EA) that are self optimizing and resilient. The present research paper investigates methods for decision-making concerning digitization architectures for Internet of Things and microservices. They are based on evolving enterprise architecture reference models and state of the art elements for architectural engineering for microgranular systems. Decision analytics in this field becomes increasingly complex and decision support, particularly for the development and evolution of sustainable enterprise architectures, is sorely needed. The challenging of the decision processes can be supported with in a more flexible and intuitive way by an architecture management cockpit.
Digitization transforms business process models and processes in many enterprises. However, many of them need guidance, how digitization is impacting the design of their information systems. Therefore, this paper investigates the influence of digitization on information system design. We apply a two-phase research method applying a literature review and an exploratory case study. The case study took place in the IT service provider of a large insurance enterprise. The study’s results suggest that a number of areas of information system design are affected, such as architecture, processes, data and services.
In a time of digital transformation, the ability to quickly and efficiently adapt software systems to changed business requirements becomes more important than ever. Measuring the maintainability of software is therefore crucial for the long-term management of such products. With service-based systems (SBSs) being a very important form of enterprise software, we present a holistic overview of such metrics specifically designed for this type of system, since traditional metrics – e.g. object oriented ones – are not fully applicable in this case. The selected metric candidates from the literature review were mapped to 4 dominant design properties: size, complexity, coupling, and cohesion. Microservice-based systems (μSBSs) emerge as an agile and fine grained variant of SBSs. While the majority of identified metrics are also applicable to this specialization (with some limitations), the large number of services in combination with technological heterogeneity and decentralization of control significantly impacts automatic metric collection in such a system. Our research therefore suggests that specialized tool support is required to guarantee the practical applicability of the presented metrics to μSBSs.
Towards a practical maintainability quality model for service- and microservice-based systems
(2017)
Although current literature mentions a lot of different metrics related to the maintainability of service-based systems (SBSs), there is no comprehensive quality model (QM) with automatic evaluation and practical focus. To fill this gap, we propose a Maintainability Model for Services (MM4S), a layered maintainability QM consisting of service properties (SPs) related with automatically collectable Service Metrics (SMs). This research artifact created within an ongoing Design Science Research (DSR) project is the first version ready for detailed evaluation and critical feedback. The goal of MM4S is to serve as a simple and practical tool for basic maintainability estimation and control in the context of BSs and their specialization
microservice-based systems (μSBSs).
Im Rahmen des Forschungsprojektes sollten die Möglichkeiten und Grenzen des Einsatzes von Sol-Gel-Ausrüstung für die Verbesserung der Scheuer-/Abrasionsbeständigkeit für Gewebe aus unterschiedlichen Fasermaterialien untersucht werden. Dabei lag der Schwerpunkt auf Textilien für die Bereiche Bekleidung- /Berufsbekleidung sowie Bezugsstoffe (Möbel, Automotive, Personentransport).
Structural and functional thermosetting composite materials are exposed to different kinds of stress which can damage the polymer matrix, thus impairing the intended properties. Therefore, self-healing materials have attracted the attention of many research groups over the last decades in order to provide satisfactory material properties and outstanding product durability. The present article provides a critical overview of promising self-healing strategies for crosslinked thermoset polymers. It is organized in two parts: an overview about the different approaches to self-healing is given in the first part, whereas the second part focuses on the specific chemistries of the main strategies to achieve self-healing through crosslinking. It is attempted to provide a comprehensive discussion of different approaches which are described in the scientific literature. By comparison of the advantages and disadvantages, the authors wish to provide helpful insights on the assessment of the potential to transfer the extensive present knowledge about self-healing materials and methods to surface varnishing thermoset coatings.
This article provides a general overview of the most promising candidates of bio based materials and deals with the most important issues when it comes to their incorporation into PF resins. Due to their abundance on Earth, much knowledge of lignin-based materials has already been gained and uses of lignin in PF resins have been studied for many decades. Other natural polyphenols that are less frequently considered for impregnation are covered as well, as they do also possess some potential for PF substitution.
High quality decorative laminate panels typically consist of two major types of components: the surface layers comprising décor and overlay papers that are impregnated with melamine-based resins, and the core which is made of stacks of kraft papers impregnated with phenolic (PF) resin. The PF-impregnated layers impart superior hydrolytic stability, mechanical strength and fire-resistance to the composite. The manufacturing involves the complex interplay between resin, paper and impregnation/drying processes. Changes in the input variables cause significant alterations in the process characteristics and adaptations of the used materials and specific process conditions may, in turn, be required. This review summarizes the main variables influencing both processability and technological properties of phenolic resin impregnated papers and laminates produced therefrom. It is aimed at presenting the main influences from the involved components (resin and paper), how these may be controlled during the respective process steps (resin preparation and paper production), how they influence the impregnation and lamination conditions, how they affect specific aspects of paper and laminate performance, and how they interact with each other
(synergies).
Eine Vielzahl einzelner Personalmanagementaktivitäten ist in Forschungseinrichtungen bereits etabliert. Im Rahmen eines Nachhaltigkeitsmanagements ist jedoch ein systematisches und strategisches Vorgehen bei der Konzeption, Planung und Implementierung von Personalmanagementaktivitäten notwendig. Ein an einem Nachhaltigkeitsmanagement orientiertes Personalmanagement richtet Personalmaßnahmen an der Strategie und den Organisationszielen der Forschungseinrichtung aus. Nachhaltiges Personalmanagement in Forschungsorganisationen bedeutet, dass die Forschenden ihr kreatives wissenschaftliches Potential entfalten und einsetzen können; die Expertise des wissenschaftsunterstützenden Personals ist dabei ein wichtiger Partner und Begleiter.
Trotz der oft schwierigen Rahmenbedingungen auf den Märkten Subsahara Afrikas ist es möglich, ein erfolgreiches Geschäft aufzubauen, sofern man die adäquate Markteintrittsform wählt und darüber hinaus bereit ist, das eigene Geschäftsmodell an die lokalen Gegebenheiten anzupassen. Eine Herausforderung ist die politische, wirtschaftliche und kulturelle Heterogenität in Subsahara Afrika, die es unmöglich macht, den Kontinent als einen Markt zu bearbeiten. Allerdings gibt es seit Jahrzehnten regionale Integrationsabkommen, die jedoch erst in den letzten Jahren wiederbelebt und vorangetrieben wurden, wie z. B. die ECOWAS (Economic Community of West African States), die EAC (East African Community) und die SADC (South African Development Corporation). Inzwischen funktionieren diese Initiativen soweit, dass einige ausländische Unternehmen beginnen, Teile des Geschäftes regional und nicht mehr national zu organisieren, also die Länder als gemeinsamen Markt zu bearbeiten. In der Regel sind die kulturellen Unterschiede in Nachbarländern nicht so groß. Aus diesen Gründen besteht Wachstumspotential für geschäftlich interessante Märkte in Subsahara Afrika.
Context: Development of software intensive products and services increasingly occurs by continuously deploying product or service increments, such as new features and enhancements, to customers. Product and service developers must continuously find out what customers want by direct customer feedback and usage behaviour observation. Objective: This paper examines the preconditions for setting up an experimentation system for continuous customer experiments. It describes the RIGHT model for Continuous Experimentation (Rapid Iterative value creation Gained through High-frequency Testing), illustrating the building blocks required for such a system. Method: An initial model for continuous experimentation is analytically derived from prior work. The model is matched against empirical case study findings from two startup companies and further developed. Results: Building blocks for a continuous experimentation system and infrastructure are presented. Conclusions: A suitable experimentation system requires at least the ability to release minimum viable products or features with suitable instrumentation, design and manage experiment plans, link experiment results with a product roadmap, and manage a flexible business strategy. The main challenges are proper, rapid design of experiments, advanced instrumentation of software to collect, analyse, and store relevant data, and the integration of experiment results in both the product development cycle and the software development process.
Software engineering education is under constant pressure to provide students with industry-relevant knowledge and skills. Educators must address issues beyond exercises and theories that can be directly rehearsed in small settings. Industry training has similar requirements of relevance as companies seek to keep their workforce up to date with technological advances. Real-life software development often deals with large, software-intensive systems and is influenced by the complex effects of teamwork and distributed software development, which are hard to demonstrate in an educational environment. A way to experience such effects and to increase the relevance of software engineering education is to apply empirical studies in teaching. In this paper, we show how different types of empirical studies can be used for educational purposes in software engineering. We give examples illustrating how to utilize empirical studies, discuss challenges, and derive an initial guideline that supports teachers to include empirical studies in software engineering courses. Furthermore, we give examples that show how empirical studies contribute to high-quality learning outcomes, to student motivation, and to the awareness of the advantages of applying software engineering principles. Having awareness, experience, and understanding of the actions required, students are more likely to apply such principles under real-life constraints in their working life.
In vitro composed vascularized adipose tissue is and will continue to be in great demand e.g. for the treatment of extensive high-graded burns or the replacement of tissue after tumor removal. Up to date, the lack of adequate culture conditions, mainly a culture medium, decelerates further achievements. In our study, we evaluated the influence of epidermal growth factor (EGF) and hydrocortisone (HC), often supplemented in endothelial cell (EC) specific media, on the co-culture of adipogenic differentiated adipose derived stem cells (ASCs) and microvascular endothelial cells (mvECs). In ASCs, EGF and HC are thought to inhibit adipogenic differentiation and have lipolytic activities. Our results showed that in indirect co-culture for 14 days, adipogenic differentiated ASCs further incorporated lipids and partly gained an univacuolar morphology when kept in media with low levels of EGF and HC. In media with high EGF and HC levels, cells did not incorporate further lipids, on the contrary, cells without lipid droplets appeared. Glycerol release, to measure lipolysis, also increased with elevated amounts of EGF and HC in the culture medium. Adipogenic differentiated ASCs were able to release leptin in all setups. MvECs were functional and expressed the cell specific markers, CD31 and von Willebrand factor (vWF), independent of the EGF and HC content as long as further EC specific factors were present. Taken together, our study demonstrates that adipogenic differentiated ASCs can be successfully co-cultured with mvECs in a culture medium containing low or no amounts of EGF and HC, as long as further endothelial cell and adipocyte specific factors are available.
Die Internationalität muss das Markenzeichen und ein wesentlicher Bestandteil des Leitbildes einer Hochschule sein. Für die Strategieentwicklung und -umsetzung bedarf es der notwendigen Strukturen an einer Hochschule sowie der Vernetzung mit weiteren nationalen und internationalen Partnern. Keine Hochschulleitung würde dieses Erfordernis in Zweifel ziehen. Und doch unterschätzen noch immer Rektorate und Präsidien diesen "Dauer-Marathon". Eine Internationalisierungsstrategie wird vielfach und damit gleichzeitig unkorrekt mit einem Perpetuum mobile
verglichen. Einmal verabschiedet, geht es weiter - es gibt keinen Stillstand. Aber das passendere Bild - auch für die Hochschule Reutlingen - ist die Strategie, die einem "kontinuierlichen Verbesserungsprozess" gleicht.
Curriculum design for the German language class in the double-degree programme business engineering
(2017)
This paper aims to give an overview on how German is taught as a foreign language to students enrolled in the Bachelor of Business Engineering, a double-degree programme offered in Universiti Malaysia Pahang. The double degree students have the opportunity to complete their first two years of study in Malaysia and their last two years in Germany. Taking the TestDaF examination is compulsory for double-degree students. Hence, the German Language curriculum has been meticulously planned to ensure the students would be competent in the language. As such, the settings of the language class are discussed thoroughly in this paper. Additionally, it also discusses the challenges faced in teaching German as foreign language. This paper ends with some suggestions for improvement.
Decreasing batch sizes in production in line with Industrie 4.0 will lead to tremendous changes of the control of logistic processes in future production systems. Intelligent bins are crucial enablers to establish decentrally controlled material flow systems in value chain networks as well as at the intralogistics level. These intelligent bins have to be integrated into an overall decentralized monitoring and control approach and have to interact with humans and other entities just like other cyber-physical systems (CPS) within the cyber-physical production system (CPPS). To realize a decentralized material supply following the overall aim of a decentralized control of all production and logistics processes, an intelligent bin system is currently developed at the ESB Logistics Learning Factory. This intelligent bin system will be integrated into the self developed, cloud-based and event-oriented SES system (so-called “Self Execution System”) which goes beyond the common functionalities and capabilities of traditional manufacturing execution systems (MES).
To ensure a holistic integration of the intelligent bin for different material types into the SES framework, the required hard- and software components for the decentrally controlled bin system will be split into a common and an adaptable component. The common component represents the localization and network layer which is common for every bin, whereas the flexible component will be customizable to different requirements, like to the specific characteristics of the parts.
Close and safe interaction of humans and robots in joint production environments is technically feasible, however should not be implemented as an end in itself but to deliver improvement in any of a production system’s target dimensions. Firstly, this paper shows that an essential challenge for system integrators during the design of HRC applications is to identify a suitable distribution of available tasks between a robotic and a human resource. Secondly, it proposes an approach to determine task allocation by considering the actual capabilities of both human and robot in order to improve work quality. It matches those capabilities with given requirements of a certain task in order to identify the maximum congruence as the basis for the allocation decision. The approach is based on a study and subsequent generic description of human and robotic capabilities as well as a heuristic procedure that facilities the decision making process.
Technologies for mapping the “digital twin“ have been under development for approximately 20 years. Nowadays increasingly intelligent, individualized products encourages companies to respond innovatively to customer requirements and to handle the rising product variations quickly.
An integrated engineering network, spanning across the entire value chain, is operated to intelligently connect various company divisions, and to generate a business ecosystem for products, services and communities. The conditions for the digital twin are thereby determined in which the digital world can be fed into the real, and the real world back into the digital to deal such intelligent products with rising variations.
The term digital twin can be described as a digital copy of a real factory, machine, worker etc., that is created and can be independently expanded, automatically updated as well as being globally available in real time. Every real product and production site is permanently accompanied by a digital twin. First prototypes of such digital twins already exist in the ESB Logistics Learning Factory on a cloud- and app based software that builds on a dynamic, multidimensional data and information model. A standardized language of the robot control systems via software agents and positioning systems has to be integrated. The aspect of the continuity of the real factory in the digital factory as an economical means of ensuring continuous actuality of digital models looks as the basis of changeability.
For the indoor localization sensor combinations that in addition to the hardware already contain the software required for the sensor data fusion should be used. Processing systems, scenario-live-simulations and digital shop floor management results in a mandatory procedural combination. Essential to the digital twin is the ability to consistently provide all subsystems with the latest state of all required information, methods and algorithms.
This paper presents a novel multi-modal CNN architecture that exploits complementary input cues in addition to sole color information. The joint model implements a mid-level fusion that allows the network to exploit cross modal interdependencies already on a medium feature-level. The benefit of the presented architecture is shown for the RGB-D image understanding task. So far, state-of-the-art RGB-D CNNs have used network weights trained on color data. In contrast, a superior initialization scheme is proposed to pre-train the depth branch of the multi-modal CNN independently. In an end-to-end training the network parameters are optimized jointly using the challenging Cityscapes dataset. In thorough experiments, the effectiveness of the proposed model is shown. Both, the RGB GoogLeNet and further RGB-D baselines are outperformed with a significant margin on two different tasks: semantic segmentation and object detection. For the latter, this paper shows how to extract object level groundtruth from the instance level annotations in Cityscapes in order to train a powerful object detector.
Despite the significant potential offered by the powder coating process for finishing wood-based materials, until now it has been used almost exclusively for coating Medium Density Fiber Board (MDF). A research project aims to develop processes and substrate materials that will allow lightweight boards to be powder coated.
Es gibt viele und teilweise sehr unterschiedliche Vorgehensweisen für die Planung von Materialflusssysstemen in der Produktionslogisitk. Ein spezifisches Vorgehensmodell für die Planung der Produktionsversorgung in der Montage im engeren Sinne existiert nicht. Im Folgenden wird ein solches Vorgehensmodell dargestellt, das sich auf die Planung der Produktionsversorgung fokussiert.
Produktionsversorgungssysteme für die variantenreiche Fließfertigung. - (Berichte aus der Logistik)
(2017)
Angestoßen durch das Lean Management wurden Produktionsabläufe in den letzten Jahrzehnten kontinuierlich optimiert und weiterentwickelt. Der Fokus lag dabei auf der Reduzierung von Prozesszeiten und der Eliminierung nicht wertschöpfender Tätigkeiten im Produktionsprozess. Diese Tätigkeiten, häufig aus dem Bereich der Materialbereitstellung, wurden aus dem Produktionsprozess in die Logistik verlagert. Die Weiterentwicklung und Optimierung der Logistik fand aber nicht in gleichem Maße statt, sodass heute viele Unternehmen in den Bereichen der Produktionslogistik und insbesondere bei der Materialversorgung erhebliche Effektivitäts- und Effizienzdefizite haben. Das Buch stellt mit einzelnen Artikeln zu Themenschwerpunkten der Materialversorgung und Materialbereitstellung auf Basis eines in der Fahrzeugbauindustrie realisierten Projektes Möglichkeiten für die Produktionslogistikoptimierung und -weiterentwicklung vor.
Management virtueller, internationaler Engineering-Prozesse. - (Berichte aus dem Maschinenbau)
(2017)
Die Internationalisierung von Geschäftsprozessen hat dazu geführt, dass in den Engineering-Prozessen, z.B. Produktentwicklung, Produktionsplanung etc., zunehmend in virtuellen, internationalen Teams gearbeitet wird. Die Prozesse und Methoden wurden aber oft nicht entsprechend weiterentwickelt, dass die virtuellen, internationalen Engineering-Prozesse effektiv und effizient ausgeführt werden. In Rahmen einer fragebogenbasierten Unternehmensbefragung in Deutschland wird untersucht, wie Unternehmen mit Kernfragen der Gestaltung virtueller, internationaler Engineering-Prozesse umgehen und welche Vorgehensweisen, Methoden und Werkzeuge, insbesondere Informations- und Kommunikationstechnologien, sie einsetzen. Dabei werden neben dem Nutzen auch die Risiken thematisiert, die nach der neuen DIN EN ISO 9001:2015 stärker in den unternehmerischen Fokus rücken müssen.
Layout generators, commonly denoted as PCells (parameterized cells), play an important role in the layout design of analog ICs (integrated circuits). PCells can automatically create parts of a layout, whose properties are controlled by the PCell parameters. Any layout, whether hand-crafted or automatically generated, has to be verified against design rules using a DRC (design rule check) in order to assure proper functionality and producibility. Due to the growing complexity of today’s PCells it would be beneficial if a PCell itself could be ensured to produce DRC clean layouts for any allowed parameter values, i.e. a formal verification of the PCell’s code rather than checking all possible instances of the PCell. In this paper we demonstrate the feasibility of such a formal PCell verification for a simple NMOS transistor PCell. The set from which the parameter values can be chosen was found during the verification process.
We present a new methodology for automatic selection and sizing of analog circuits demonstrated on the OTA circuit class. The methodology consists of two steps: a generic topology selection method supported by a “part-sizing” process and subsequent final sizing. The circuit topologies provided by a reuse library are classified in a topology tree. The appropriate topology is selected by traversing the topology tree starting at the root node. The decision at each node is gained from the result of the part-sizing, which is in fact a node-specific set of simulations. The final sizing is a simulation-based optimization. We significantly reduce the overall simulation effort compared to a classical simulation-based optimization by combining the topology selection with the part-sizing process in the selection loop. The result is an interactive user friendly system, which eases the analog designer’s work significantly when compared to typical industrial practice in analog circuit design. The topology selection method and sizing process are implemented as a tool into a typical analog design environment. The design productivity improvement achievable by our method is shown by a comparison to other design automation approaches.
A new method for the analysis of movement dependent parasitics in full custom designed MEMS sensors
(2017)
Due to the lack of sophisticated microelectromechanical systems (MEMS) component libraries, highly optimized MEMS sensors are currently designed using a polygon driven design flow. The strength of this design flow is the accurate mechanical simulation of the polygons by finite element (FE) modal analysis. The result of the FE-modal analysis is included in the system model together with the data of the (mechanical) static electrostatic analysis. However, the system model lacks the dynamic parasitic electrostatic effects, arising from the electric coupling between the wiring and the moving structures. In order to include these effects in the system model, we present a method which enables the quasi dynamic parasitic extraction with respect to in-plane movements of the sensor structures. The method is embedded in the polygon driven MEMS design flow using standard EDA tools. In order to take the influences of the fabrication process into account, such as etching process variations, the method combines the FE-modal analysis and the fabrication process simulation data. This enables the analysis of dynamic changing electrostatic parasitic effects with respect to movements of the mechanical structures. Additionally, the result can be included into the system model allowing the simulation of positive feedback of the electrostatic parasitic effects to the mechanical structures.
This paper introduces a novel placement methodology for a common-centroid (CC) pattern generator. It can be applied to various integrated circuit (IC) elements, such as transistors, capacitors, diodes, and resistors. The proposed method consists of a constructive algorithm which generates an initial, close to the optimum, solution, and an iterative algorithm which is used subsequently, if the output of constructive algorithm does not satisfy the desired criteria. The outcome of this work is an automatic CC placement algorithm for IC element arrays. Additionally, the paper presents a method for the CC arrangement evaluation. It allows for evaluating the quality of an array, and a comparison of different placement methods.
The aim of this paper is to examine the impact of sustainability communication in the fashion industry on the customers’ behavior with a focus on consumers’ perception regarding websites with sustainability-specific content. Based on a profound literature review, a projective method in form of two dummy websites is developed. Both websites illustrate sustainability communication with comprehensive and transparent information demonstrating a credible, trustful and serious commitment. Additionally, both sites have the same structure and an appealing, visualized website design as well as a customer oriented communication. While each website consists of almost the same aspects such as Vision & Mission, Value chain, Corporate Commitment, Working Conditions, Environment, Social Commitment and documents such as a Sustainability Report and Code of Conduct, they differ enormously in the sustainability-specific content. For instance, website 1 represents a sustainable and responsible company communicating sustainable issues about eco-friendly materials, fair working conditions, ecological production and their social commitment. It further includes eco-friendly wash and care advices as seen by reformation to remember consumers to take care of the environment, e.g. to wash cold or by using ecological detergents. In contrast, website 2 does not represent a sustainable and responsible fashion brand. It also does not communicate sustainable efforts or a sustainable engagement. Rather it is about offering trendy, low-priced fast- fashion products, produced under unfair working conditions with wages and working hours as usual terms in production countries with a focus on style and design. Regarding website 2, all raw materials have been produced conventionally in developing countries and are therefore not eco-friendly, resulting in a pollution of the environment due to long transport routes. Additionally, the website voices the wish to improve the chances for developing animal protection only minimally, showing that the company is not socially committed. Although website 2 focuses on transparency and a customer-oriented communication, it is not sustainable. Both websites are tested via an online survey. A total of 90 fashion students participated in the sample.
Scheduled flexibility and individualization of knowledge transfer in foundations of computer science
(2017)
The opening of the German higher education system for new target groups involves a heterogeneous composition of students as never before and face up the universities to new challenges. Due to different educational biographies, the students don't show a homogeneous level of knowledge. Furthermore, their access to course content and their individual learning methods are very diverse. The existing lack of knowledge and the very unequal study speed have a significant influence on the learning behavior and learning motivation. During the first semesters, the dropout rate is appreciably higher. The reform project gives an overview of a didactic restructuring from a formerly conventional teaching and learning concept to a stronger combination of digital offers, combined with classical lectures in the basic modules of computer science. The teaching content is adjusted to the individual requirements and knowledge. Students with different previous knowledge get the possibility to increase their knowledge in different levels of abstraction. The aim of the reform project has to point out the possibilities, also the challenges of the digital process in higher education. At the same time the question has to be explored, how far does an accompanied and self-directed learning in own speed and in own individual depth of knowledge have a positive impact on the motivation and on the study success of a learner.
Obwohl Vorteile wertorientierter Preissetzung seit Jahren bekannt sind, gewinnt sie nur langsam an Boden. Die erste Studie des Preisverhaltens nach Geschäftstypen zeigt: 35 Jahre Preisforschung und -beratung konnten die Dominanz der Kostenorientierung erstmals schwächen. Der Autor wagt einen Erklärungsversuch und ermutigt zu mehr Marktorientierung.
The demonstration project Virtual Power Plant Neckar-Alb is constructing a Virtual Power Plant (VPP) demonstration site at the Reutlingen University campus. The VPP demonstrator integrates a heterogeneous set of distributed energy resources (DERs) which are connected to control the infrastructure and an energy management system. This paper describes the components and the architecture of the demonstrator and presents strategies for demonstration of multiple optimization and control systems with different control paradigms.
The purpose of this article is to provide insight of a new simple forecasting method based on a state-estimation algorithm known as the Kalman filter. While the accuracy of such algorithm is not comparable to state-of-the-art forecasting algorithms for PV-power production it does not require any internet connection, eyefish cameras or time intensive training. The algorithm was tested with several months of real high-resolution data with adequate results for the intended applications. The minimization of the necessary spinning reserve on a PV-diesel hybrid system to increase the solar fraction and reduce diesel consumption.
The diversity of energy prosumer types makes it difficult to create appropriate incentive mechanisms that satisfy both prosumers and energy system operators alike. Meanwhile, European energy suppliers buy guarantees of origin (GoO) which allow them to sell green energy at premium prices while in reality delivering grey energy to their customers. Blockchain technology has proven itself to be a robust paying system in which users transact money without the involvement of a third party. Blockchain tokens can be used to represent a unit of energy and, just as GoOs, be submitted to the market. This paper focuses on simulating marketplace using the ethereum blockchain and smart contracts, where prosumers can sell tokenized GoOs to consumers willing to subsidize renewable energy producers. Such markets bypass energy providers by allowing consumers to obtain tokenized GoOs directly from the producers, which in turn benefit directly from the earnings. Two market strategies where tokens are sold as GoOs have been simulated. In the Fix Price Strategy prosumers sell their tokens to the average GoO price of 2014. The Variable Price Strategy focuses on selling tokens at a price range defined by the difference between grey and green energy. The study finds that the ethereum blockchain is robust enough to functions as a platform for tokenized GoO trading. Simulation results have been compared and the results indicate that prosumers earn significantly more money by following the Variable Price
Strategy.
The success of an autonomous robotic system is influenced by several interdependent factors not easily identifiable. This paper is set to lay the foundation of a new integrated approach in order to deeply examine all the parameters and understand their contribution to success. After introducing the problem, two cutting edge autonomous systems for the process of unloading of containers will be presented. Then the STIC analysis, a recently developed method for modelling and interpreting all the parameters, will be introduced. The preliminary results of applying such a methodology to a first study case, based on one of the two systems available to the authors, will be shortly presented. Future research is in the end recommended in order to prove that this methodology is the only way to efficiently and effectively mitigate the risk that stops potential users from investing in autonomous systems in the logistics sector.
Im Folgenden werden exemplarisch zwei Ambush-Marketing-Aktivitäten des Fast-Food-Anbieters Burger King im Rahmen der Fußball-Europameisterschaften 2016 vorgestellt. Nicht-Sponsor Burger King setzte Ambush Marketing dabei gezielt im Rahmen der EM ein,um gegen den offiziellen UEFA-Sponsor und Marktführer McDonald's Punkte zu sammeln.
Umsetzung der DIN EN ISO 9001:2015. - Band 2. Agile Organisation, Risiko- und Change Management
(2017)
Mit der neuen DIN EN ISO 9001:2015 haben sich die Anforderungen an die Unternehmensorganisation und Unternehmensprozesse weiterentwickelt. Die Umstellung fällt Unternehmen teilweise schwer, da viele Themen, die früher nur kurz in der Norm genannt und wenig vertieft umgesetzt wurden, jetzt im zentralen Fokus stehen, wie z.B. das Risikomanagement. Das Buch in zwei Bänden gibt einen Überblick über die wichtigsten Themenschwerpunkte, die bei einer Umsetzung der DIN EN ISO 9001:2015 bearbeitet werden müssen. Es werden Vorgehensweisen, Methoden und Werkzeuge dargestellt, die in einem Einführungsprojekt in einem Unternehmen entwickelt und umgesetzt wurden. Themenschwerpunkte des Bands 2 sind: Einführung eines Risikomanagements nach DIN EN ISO 9001:2015, Change Management zur Implementierung der DIN EN ISO 9001:2015, Schaffung agiler Organisationsstrukturen im Kontext der DIN EN ISO 9001:2015.
Die neue DIN EN ISO 9001:2015 ist ein Meilenstein in der Normenentwicklung, da mit ihr die Zusammenführung unterschiedlicher Strukturen verschiedener Managementnormen erfolgt, die jetzt alle nach dem gleichen System strukturiert sind bzw. in Zukunft noch derart strukturiert werden. Außerdem spezifiziert sie Anforderungen in einigen Bereichen deutlich genauer und umfangreicher als dies bisher der Fall war. Dementsprechend müssen Unternehmen für eine Neu- oder Reakkreditierung ihre Organisation weiterentwickeln. Der folgende Artikel gibt einen Überblick über wesentliche Änderungen und den anzustrebenden Umgang damit.
Mit der neuen DIN EN ISO 9001:2015 haben sich die Anforderungen an die Unternehmensorganisation und Unternehmensprozesse weiterentwickelt. Die Umstellung fällt Unternehmen teilweise schwer, da viele Themen, die früher nur kurz in der Norm genannt und wenig vertieft umgesetzt wurden, jetzt im zentralen Fokus stehen, wie z.B. das Risikomanagement. Das Buch in zwei Bänden gibt einen Überblick über die wichtigsten Themenschwerpunkte, die bei einer Umsetzung der DIN EN ISO 9001:2015 bearbeitet werden müssen. Es werden Vorgehensweisen, Methoden und Werkzeuge dargestellt, die in einem Einführungsprojekt in einem Unternehmen entwickelt und umgesetzt wurden. Themenschwerpunkte des Bands 1 sind: Organisationsentwicklung auf Basis der DIN EN ISO 9001:2015, Vorgehensweise zur Bewertung und Implementierung eines integrierten Managementsystems, Vorgehensmodell für die Umsetzung einer prozessorientierten Aufbau- und Ablauforganisation, Analysemethode zur Einordnung der Organisation in ihr spezifisches Unternehmensumfeld.
Zusammen mit Partnern aus Industrie und Politik untersuchen die ESB Business School der Hochschule Reutlingen, die Hochschule Offenburg und die Fachhochschule Nordwestschweiz (FHNW) in einem Interreg-Projekt die Möglichkeiten, klima- und gesundheitsschädliche Emissionen im Grenzverkehr am Hochrhein zu reduzieren. Elektromobilität und Fahrgemeinschaften werden dazu im Rahmen eines Pilotprojekts gefördert und die Wirkung analysiert. Erste Ergebnisse zeigen, dass heutige Elektroautos für das grenzüberschreitende Pendeln unter bestimmten Voraussetzungen geeignet sind.
In this paper we build on our research in data management on native Flash storage. In particular we demonstrate the advantages of intelligent data placement strategies. To effectively manage phsical Flash space and organize the data on it, we utilize novel storage structures such as regions and groups. These are coupled to common DBMS logical structures, thus require no extra overhead for the DBA. The experimental results indicate an improvement of up to 2x, which doubles the longevity of Flash SSD. During the demonstration the audience can experience the advantages of the proposed approach on real Flash hardware.
Um einen Funksensor zum Messen der Windgeschwindigkeit per Energy Harvesting mit Energie zu versorgen, bietet es sich an, das Messsignal selbst zur Energiegewinnung zu nutzen. Mit optimierter Funkübertragung und Energiemanagement lässt sich ein autarker Windstärke-Funksensor realisieren, der ab 2 m/s Windgeschwindigkeiten messen und die Messwerte per Funk übertragen kann.
Der Zusammenschluss von Unternehmen in Lieferantennetzwerken auf Basis digitaler Plattformen bietet eine Möglichkeit, der Forderung nach Flexibilität in der Industrie 4.0 nachzukommen. Anhand der Charakterisierung eines realen Lieferantennetzwerkes werden use cases für die Lieferantenanbindung hergeleitet. Diese dienen als Diskussionsgrundlage von Potenzialen und Herausforderungen der Anbindung, wobei sich die Frage nach der optimalen Integrationstiefe stellt. Hierzu wurde ein anwenderorientiertes Entscheidungsmodell abgeleitet.
Learning factories present a promising environment for education, training and research, especially in manufacturing related areas which are a main driver for wealth creation in any nation. While numerous learning factories have been built in industry and academia in the last decades, a comprehensive scientific overview of the topic is still missing. This paper intends to close this gap establishing the state of the art of learning factories. The motivations, historic background, and the didactic foundations of learning factories are outlined. Definitions of the term learning factory and the corresponding morphological model are provided. An overview of existing learning factory approaches in industry and academia is provided, showing the broad range of different applications and varying contents. The state of the art of learning factories curricula design and their use to enhance learning and research as well as potentials and limitations are presented. Conclusions and an outlook on further research priorities are offered.
Real estate markets are known to fluctuate. The real estate market in Stuttgart, Germany, has been booming for more than a decade: square-meter price hit top levels and real estate agents claim that market prices will continue to increase. In this paper, we test this market understanding by developing and analyzing a system dynamics model that depicts the Stuttgart real estate market. Simulating the model explains oscillating behavior arising from significant time delays and endogenous feedback structures – and not necessarily oscillating interest rates, as market experts assume. Scenarios provide insights into the system's behavior reacting to changes exogenous to the model. The first scenario tests the market development under increasing interest rates. The other scenario deals with possible effects on the real estate market if the regional automotive economy suffers from intense competition with new market players entering with alternative fuel vehicles and new technologies. With a policy run we test market structure changes to eliminate cyclical effects. The paper confirms that the business cycle in the Stuttgart real estate market arises from within the system's underlying structure, thus emphasizing the importance of understanding feedback structures.
Strategic alliances have become important strategic options for firms to achieve competitive advantage. Yet, there are many examples of alliance failures. Scholars have studied this phenomenon and identified many reasons for alliance failure, including lack of trust between the partnering firms. Paradoxically, the concept of trust is still not fully understood, specifically how and under what conditions trust comes to break down within the broader process of alliance building. We synthesize a process model that describes the “alliance capability”, including trust, openness, partner contributions, and relational rents. We then translate this framework into a formal simulation model and analyze it thoroughly. In analyzing trust dynamics we identify and explore a tipping boundary, separating a regime of alliance failures and successes. We apply our core findings to openness strategies – decisions about how much knowledge to share with partners. Our analyses reveal that strategies informed by a static mental model of trust, contributions, and openness, under undervalue openness. Further, too little openness risks early failure due to the being trapped in a vicious cycle of trust depletion.
In this paper we claim that a competitive analysis with new players entering a market requires a specific and systems-based analysis. System dynamics provides such an approach. We infer from our study that established premium automobile manufacturers could have identified a possible threat by a newcomer like Tesla earlier with using system dynamics. In particular, we postulate that a feedback view supports decision makers to better understand the significance of competitive information and perceive information faster and more reliably.
Im Februar 2011 wurden die Autoren von der Metropolitan School Frankfurt eingeladen, in einer vierstündigen Unterrichtseinheit die Grundlagen von systemischem Denken und System Dynamics einer vierten Klasse mit Kindern im Alter von 9 und 10 Jahren zu vermitteln. Inhaltlicher Themenschwerpunkt sollten Ökosysteme sein, die im Curriculum eine mehrwöchige Fokuslehreinheit bilden. Als Ergebnis eines Austauschs mit dem Klassenlehrer wurde der Fokus auf zwei Handlungsstränge gelegt: Räuber-Beute-Systeme sind für Viertklässler inhaltlich interessant und fügen sich passsend in die Unterrichtseinheit der Jahrgangstufe ein. Als weiteres, komplexeres Themengebiet wurd der Klimawandel gewählt. Beide Themen haben den gewünschten inhaltlichen Bezug zum Schwerpunkt "Ökosysteme".
Marketing mit Youtube
(2017)
Die Video-Plattform Youtube ist eine der meistbesuchten Webseiten weltweit. Youtube-Stars erreichen mit ihren Videos große Zuschauergruppen und können als Multiplikatoren für Werbebotschaften dienen. Sie sind oftmals Meinungsführer, denen hohes Vertrauen entgegengebracht wird, weshalb sie sich sehr gut für Influencer-Marketing eignen. Marketing mit Youtube ermöglicht eine offene, mehrwegige, schnelle und kostengünstige Kommunikation mit Kunden, insbesondere jüngeren. Unternehmen können sich dies zu Nutze machen, indem sie Youtube nicht nur als Plattform für klassische Werbespots, sondern auch für Produktplatzierungen, Videosponsoring oder Branded Entertainment in Zusammenarbeit mit Youtubern verwenden.
Im Rahmen dieser Arbeit werden zunächst die Video-Plattform Youtube vorgestellt und die Grundidee des Influencer-Marketings dargelegt. Daraus leiten sich verschiedene Möglichkeiten der Zusammenarbeit mit Youtubern zu Marketingzwecken ab, die beschrieben und anhand zahlreicher Beispiele illustriert werden. Die Arbeit schließt mit einer kritischen Würdigung der Ergebnisse und Handlungsempfehlungen zur Nutzung von Youtube als Marketinginstrument im Hinblick auf Influencer-Marketing.
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Im diesem Beitrag wird auf Basis des identitätsorientierten Markenmanagements
anhand der sechs Komponenten der Markenidentität die Rolle von Thomas Müller für die Marke FC Bayern München untersucht. Das Ergebnis lautet: Für die Marke FC Bayern ist die Identitätsfigur Thomas Müller von unbezahlbarem Wert.
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Clinical reading centers provide expertise for consistent, centralized analysis of medical data gathered in a distributed context. Accordingly, appropriate software solutions are required for the involved communication and data management processes. In this work, an analysis of general requirements and essential architectural and software design considerations for reading center information systems is provided. The identified patterns have been applied to the implementation of the reading center platform which is currently operated at the Center of Ophthalmology of the University Hospital of Tübingen.
The wet chemical deposition of solution processed transparent conducting oxides (TCO) provides an alternative low cost and economical deposition technique to realize large-areas of conducting films. Since the price for the most common TCO Indium Tin Oxide rises enormously, Aluminum Zinc Oxide (AZO) as alternative TCO reaches more and more interest. The optoelectronical properties of nanoparticle coatings strongly depend beneath the porosity of the coating on the shape and size of the used particles. By using bigger or rod-shaped particles it is possible to minimize the amount of grain boundaries resulting in an improvement of the electrical properties, whereas particles bigger than 100 nm should not be used if highly transparent coatings are necessary as these big particles scatter the visible light and lower the transmittance of the coatings. In this work we present a simple method to synthesize AZO particles with different shape and size, but comparable electronical properties. We use a simple, well reproducible polyol method for synthesis and influence the shape and size of the particles by adding different amounts of water to the precursor solution. We can show that the addition of aluminum as dopant strongly hinders the crystal growth but the addition of water counteracts this, so that both, spherical and rod-shaped particles can be obtained.
Das Knie ist das am häufigsten von Verletzungen betroffene Gelenk beim Skifahren. Durch die Messung bestimmter Einflussfaktoren, wie Kniewinkel und Muskelaktivität, kann eine Aussage über die Wahrscheinlichkeit einer drohenden Verletzung getroffen werden. Diese Daten können als Basis genutzt werden, um eine entsprechende Reaktion des Bindungssystems des Skis hervorzurufen. Durch die automatische Auslösung der Skibindung bei der Überschreitung der Grenzwerte wird das Knie entlastet, um möglichen Verletzungen vorzubeugen. Im Rahmen eines Forschungsprojekts der TU München wurde von einem Team der TU München und der Hochschule Reutlingen eine Skiunterhose entwickelt, mit der in Echtzeit der Kniewinkel erfasst und drahtlos an eine Auswerteeinheit gesendet werden kann.
Der flächendeckende Einsatz digitaler Zähler wird eine bislang ungekannte Menge an Kundendaten mit sich bringen. Wie können die deutschen Energieversorger hieraus ein besseres Kundenverständnis entwickeln? Die systematische Datenauslese unter Zuhilfenahme modellgestützter Zukunftsprognosen - sog. Predictive Analytics - scheint hier ein vielversprechendes Instrument zu sein. Aufbauend auf einer mit Unterstützung des Verbandes kommunaler Unternehmen durchgeführten Untersuchung lassen sich vier Handlungsempfehlungen ableiten, wie man die Digitalisierung im Vertrieb nutzen kann. Demnach sind die Festlegung von klaren Zielen und Strategien, die systematische Erschließung von Datenquellen, der Aufbau von Inhouse-Kompetenz sowie ein "Joint effort" von Marketing, Vertrieb und IT zu forcieren.
Die Bereitstellung von Wärme ist für ungefähr die Hälfte des Endenergieverbruchs in Deutschland verantwortlich und, angesichts eines Anteils erneuerbarer Energien an der Wärmebereitstellung von heute 14%, auch für einen bedeutenden Anteil der Treibhausgasemissionen. Die Bundesregierung strebt an, bis 2050 die Wärmeversorgung klimaneutral zu gestalten, sodass drei Ziele den zukünftigen Wärmemarkt und seine Innovationserfordernisse prägen: Reduktion des Wärmebedarfs, Steigerung des Anteils erneuerbarer Energien, Ausbau der Nah- und Fernwärmenetze. Für attraktive Geschäftsmodelle nicht minder wichtig sind jedoch die Kundenbedürfnisse, die sich auch aufgrund technologischer Entwicklungen stetig wandeln. Dementsprechend eröffnen sich neue Optionen für Geschäftsmodelle im Wärmesektor, z.B. erneuerbare Wärme mit Flatrate oder partizipative Wärme mit Energiesparanreizen.
Mit der Energiewende hat die Bundesregierung den Umbau der Energieversorgung begonnen. Da das Gelingen der Energiewende für die Zukunfts- und Wettbewerbsfähigkeit des Wirtschaftsstandorts Deutschland essenziell ist, wurden seitens des Bundesverbandes der deutschen Industrie (BDI) bereits 2013 Impulse für eine smarte Energiewende veröffentlicht, in denen fünf Prinzipien abgeleitet werden, die einen Rahmen für den Diskurs über die zu ergreifenden Maßnahmen setzen. Erneuerbare Energien werden in dem kommenden Jahren die dominierende Stromquelle darstellen. Daraus entstehen neue Herausforderungen. Zu deren Bewältigung hat das Bundeswirtschaftsministerium (BMWi) kürzlich eine 10-Punkte-Agenda (ZPA) für die zentralen Vorhaben der Energiewende vorgelegt. Zu diskutieren ist, inwieweit sie im Einklang mit den fünf Prinzipien des BDI steht und an welchen Stellen Anpassungen notwendig werden, damit der Umbau des Energiesystems erfolgreich gelingen kann.
Im Rahmen dieser Arbeit wurde ein urbaner Mixed-Reality Fahrsimulator umgesetzt. Die reale Umgebung wird hierbei in einer Greenscreen-Kammer mit Hilfe von Kamerabildern aus Nutzersicht und einem Chroma Key Shader innerhalb der virtuellen Umgebung sichtbar gemacht. Dies soll die Immersion und die Interaktivität innerhalb der virtuellen Umgebung durch die Darstellung und Verwendung von realen Elementen erhöhen.
Als virtuelle Umgebung wurde eine zufallsgenerierte Stadt geschaffen, in der KI-Fahrzeuge fahren. Die Ergebnisse der Entwicklung dieses Fahrsimulators werden in dieser Arbeit erläutert.
Der Fahrsimulator soll der Entwicklung von menschzentrierten Human-Machine-Interfaces und Motion-Capture-Komponenten dienen.
Automatisierte Analyse von Review-Daten beschäftigt sich mit den Möglichkeiten, freien Text zu analysieren und relevante Informationen daraus zu extrahieren. Die Arbeit setzt sich dabei mit Methoden des unüberwachten Lernens auseinander. Hierbei steht die Methode der Topic Modellierung im Mittelpunkt. Es werden Verfahren betrachtet, die im Bereich der textbasierten Informationsgewinnung bekannt sind. Latent Semantic Indexing LSI, (probabilistic) pLSI und Latent Dirichlet Allocation (LDA) werden erläutert und verglichen. Die Arbeit zeigt, wie LDA genutzt wurde, um einen nhaltlichen Überblick über einen Datenkorpus von 1 Mio. Reviews zu bekommen und diesen auf einen feineren Detailgrad zu betrachten. Die Topic-basierte Analyse wird genutzt, um Erkentnisse für ein Opinion Mining System zu generieren, welches eine tiefergehende Analyse vornehmen wird. Der gesamte Prozess ist als vollständig automatisiert und maschinell unüberwacht konzeptioniert.
Im Rahmen der wissenschaftlichen Vertieung werden unterschiedliche empirische Forschungsmethoden erörtert.
Im ersten Schritt werden die Grundlagen der empirischen Forschungsmethoden ermittelt und klassifiziert. Nach der Klassifikation der Forschungsmethoden werden zwei Forschunsmethoden angewandt. Die Auswahl der Methoden fällt auf die quantitative und qualitative Forschungsmethode.
Diese Forschungsmethoden werden während der Analysephase eingesetzt, um den weltweiten Ist-Zustand der Tochtergesellschaften zu ermitteln. Hierbei geht es um die Analyse des Import- und Export-Prozesses bei den Tochtergesellschaften der HUGO BOSS AG. Ziel ist es, die Ergebnisse für die Master Thesis einzusetzen. Anhand der Ergebnisse können Gemeinsamkeiten oder auch Abweichungen im Zollabwicklungsprozess aufgezeigt werden, die später in der Konzeption berücksichtigt werden.
Hierzu wird die qualitative Methode eingesetzt, welche die Basis für die Konzeptionierung der Umfrage liefert. Abschließend wurde für die Verifikation der Ergebnisse die qualitative Methode für die Interviews eingesetzt.
Rapid Prototyping Plattformen reduzieren die Entwicklungszeit, indem das Überprüfen einer Idee in Form eines Prototyps schnell umzusetzen ist und mehr Zeit für die eigentliche Anwendungsentwicklung mit Benutzerschnittstellen zur Verfügung steht. Dieser Ansatz wird schon lange bei technischen Plattformen, wie bspw. dem Arduino, verfolgt. Um diese Form von Prototyping auf Wearables zu übertragen, wird in diesem Paper WearIT vorgestellt. WearIT besteht als Wearable Prototyping Plattform aus vier Komponenten: Einer Weste, Sensor- und Aktorshieldss, einer eigenen bibliothek sowie einem Mainboard bestehend aus Arduino, Raspberry Pi, einer Steckplatine und einem GPS-Modul. Als Ergebnis kann ein Wearable Prototyp schnell, durch das Anbringen von Sensor- und Aktorshields an der WearIT Weste, entwickelt werden. Diese Sensor- und Aktorshields können anschließend durch die WearIT-Bibliothek programmiert werden. Dafür kann über Virtual Network Computing (VNC) mit einem entfernten Rechner auf die Bildschirminhalte des Rasperry Pis zugegriffen und der Arduino programmiert werden.
Die meisten der aktuell im Allag vorfindlichen Touch-Flächen wurden unter Anwendung komplexer und kostenintensiver Technologien realisiert. Gerade für das Anwendungsszenario eines Touchfloors, bei welchem meist eine überdurchschnittlich große Touch-Fläche erwünscht ist, werden kostengünstigere Umsetzungsmöglichkeiten angestrebt. Dieses Paper dient als Ausgangsbasis für die Umsetzung eines Low-cost Touchfloors, der die kollaborative Arbeit eines Projektteams unterstützen soll. Mithilfe einer Analyse des State of the Arts der Touch-Technologien und einer anschließenden Evaluation, wird die Touch-Technologie abgeleitet, die sich am besten zur Realisierung dieses low-cost Touchfloors eignet. Aus der Evaluation geht hervor, dass vor allem optische Touch-Technologien, insbesondere visionsbasierte, für die Umsetzung von kostengünstigen großen Touch-Flächen geeignet sind.
Integrierte Schaltkreise (IC) sind ein integraler Bestandteil vieler Geräte wie zum Beispiel Smartphones, Computer oder Fernseher. Auf den Schaltkreisen werden immer mehr Funktionen integriert. Um die Arbeit auch zukünftig in gegebener Zeit bewältigen zu können, bedarf es daher einer Möglichkeit für die gleichzeitige Zusammenarbeit der Entwickler. Unter dem Arbeitstitel eCEDA (eCollaboration for Electronic Design Automation) wird ein Konzept für eine Webanwendung entwickelt, die die Echtzeitkollaboration von Entwicklern im Chipentwurf ermöglichen soll. Dieses Konzept sowie verschiedene Aspekte der Kollaboration werden in dieser Arbeit behandelt.
Anforderungen an die Mensch-Maschine-Schnittstelle im Automobil auf dem Weg zum autonomen Fahren
(2017)
In den letzten Jahrzehnten haben immer mehr Fahrerassistenzsysteme Einzug in das Automobil gefunden und bereiten damit den Weg zu vollautonomen Fahrzeugen der Zukunft vor. So bieten bereits viele Hersteller Ausstattungsvarianten ihrer Fahrzeuge an, die für den Umstieg in die vollautonome Zukunft gewappnet sind. Um den Menschen mit auf den Weg zu nehmen, werden einige Anforderungen an die Mensch-Maschine-Schnittstelle (MMS) des Automobils gestellt. Für die teilautonomen Fahrzeuge der nächsten Generation gilt es, den Fahrerwechsel zwischen manuellem und autonomen Fahren für die Menschen bestmöglich zu gestalten. Die Arbeit wirft einen Blick auf ausgewählte Ansätze für zukünftige MMS-Systeme und bewertet diese anhand der Übergabezeiten zwischen Mensch und Maschine. Ein Wandel der MMS im Automobil wird empfohlen, um den Menschen mit den neuen Technologien vertraut zu machen.
Digitization will require companies to fundamentally reengineer their sales processes. Adapting the concept of value selling to the digital age will enable them to deliver superior value to their customers. Specifically, social selling will provide them with an answer to the ever-increasing complexity of customer journeys. This article, based on a survey among 235 German companies, assesses the status quo and outlines opportunities. Moreover, it introduces a novel approach for developing well-grounded social selling metrics.
In an exploratory study about online communication of large and medium-sized B2B companies from the German state of Baden-Württemberg, their message content communicated via websites, and their websites' appeal for international prospects has been analyzed. It revealed many basic content items absent, making the site less attractive for further exploration, and difficult or international prospects to enter into a dialog, become leads, and possible customers. The subsequent survey elicited organizational backgrounds, available resources, and objectives for online communication. It could trace deficiencies back to a lack of understanding of the importance of digital communication for lead generation, and the customer journey in general, absence of a communication strategy, lack of urgency, and lack of resources to implement desired changes and additions to communication content.
Electronic word-of-mouth (eWoM) communication plays an increasingly important role in modern business. The underlying concept of word-of-mouth (WoM) communication is well researched and has proved highly significant in respect of its impact on customers purchase behavior. However, due to the advent of digital technologies, decision-making among customers is progressively shifting to the online world. Consequently, eWoM has received a lot of attention from the academic community. As multiple research papers focus on specific facets of eWoM, there is a need to integrate current research results systematically. Thus, this paper presents a scientific literature analysis in order to determine the current state-of-the-art in the field of eWoM. Five main research areas were analyzed, supporting the need for further eWoM studies and providing a structured overview of existing results.
This paper investigates the impact of dynamic capabilities (DC) on brand love. From a resource-based view, there is little clarity vis-à-vis the specific capabilities that drive the ability to create brand love. This paper focuses on three research questions: Firstly, which dynamic capabilities are relevant for brand love? Secondly, how strong is the impact of certain dynamic capabilities on brand love? Thirdly, which conditions mediate and moderate the impact of specific dynamic capabilities on brand love? Data from a multi-method research approach have been used to itentify the specific capabilities that corporations need, to enhance brand love. Furthermore, a standardized online survey was conducted on marketing executives and evaluated by structural equation modeling. The results indicate, that customer expertise plays a major role in the relationship between dynamic capabilities and brand love. Furthermore, this relationship is more important in markets that have a low competitive differentiation in products and services.
Pokémon Go was the first mobile Augmented Reality (AR) game that made it to the top of the download charts of mobile applications. However, very little is known about this new generation of mobile online Augmented Reality (AR) games. Existing media usage and technology acceptance theories provide limited applicability to the understanding of its users. Against this background, this research provides a comprehensive framework that incorporates findings from uses & gratification theory (U>), technology acceptance and risk research as well as flow theory. The proposed framework aims at explaining the drivers of attitudinal and intentional reactions, such as continuance in gaming or willingness to conduct in-app purchases. A survey among 642 Pokémon Go players provides insights into the psychological drivers of mobile AR games. Results show that hedonic, emotional and social benefits, and social norms drive, vice versa physical risks (but not privacy risks) hinder consumer reactions. However, the importance of these drivers differs between different forms of user behavior.
The increasing number of connected mobile devices such as fitness trackers and smartphones define new data for health insurances, enabling them to gain deeper insights into the health of their customers. These additional data sources plus the trend towards an interconnected health community, including doctors, hospitals and insurers, lead to challenges regarding data filtering, organization and dissemination. First, we analyze what kind of information is relevant for a digital health insurance. Second, functional and non-functional requirements for storing and managing health data in an interconnected environment are defined. Third, we propose a data architecture for a digitized health insurance, consisting of a data model and an application architecture.
Digitization in the energy sector is a necessity to enable energy savings and energy efficiency potentials. Managing decentralized corporate energy systems is hindered by a non-existence. The required integration of energy objectives into business strategy creates difficulties resulting in inefficient decisions. To improve this, practice-proven methods such as Balanced Scorecard, Enterprise Architecture Management and the Value Network approach are transferred to the energy domain. The methods are evaluated based on a case study. Managing multi-dimensionality, high complexity and multiple actors are the main drivers for an effective and efficient energy management system. The underlying basis to gain the positive impacts of these methods on decentralized corporate energy systems is digitization of energy data and processes.
Smart meter based business models for the electricity sector : a systematical literature research
(2017)
The Act on the Digitization of the Energy Transition forces German industries and households to introduce smart meters in order to save engery, to gain individual based electricity tariffs and to digitize the energy data flow. Smart meter can be regarded as the advancement of the traditional meter. Utilizing this new technology enables a wide range of innovative business models that provide additional value for the electricity suppliers as well as for their customers. In this study, we followed a two-step approach. At first, we provide a state-of-the-art comparison of these business models found in the literature and identify structural differences in the way they add value to the offered products and services. Secondly, the business models are grouped into categories with respect to customer segmetns and the added value to the smart grid. Findings indicate that most business models focus on the end-costumer as their main customer.
In recent times, enterprises have been increasingly dealing with the use of social media in internal communication and collaboration. In particular, so-called Enterprise Social Networks (ESN) promise meaningful benefits for the nature of work in corporations. However, these platforms often suffer from poor degrees of use. This raises the question of what initiatives enterprise can launch in order to stimulate the vitality of ESN. Since the use of ESN is often voluntary, individual adoption by employees need to be examined to find an answer. Therefore, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was selected for the theoretical foundation of this paper. Following a qualitative research approach, the available research provides an analysis of expert interviews on specific ESN implementation strategies and included factors. In order to extensively conceptualize and generalize these strategic considerations, we conducted an inductive coding process. The results reveal that ESN implementation strategies can be understood as a multi-level construct (individual vs. group vs. organizational level) containing different factors dependent on the degree of documentation and intensity. This research in progress describes a qualitative evaluation as a preliminary study for further quantitative analysis of an ESN adoption model.
Steady growing research material in a variety of databases, repositories and clouds make academic content more than ever hard to discover. Finding adequate material for the own research however is essential for every researcher. Based on recent developments in the field of artificial intelligence and the identified digital capabilities of future universities a change in the basic work of academic research is predicted. This study defines the idea of how artificial intelligence could simplifiy academic research at a digital university. Today's studies in the field of AI spectacle the true potential and its commanding impact on academic research.
The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. This disruptive change drive current and next information processes and systems that are important business enablers for the context of digitization since years. Our aim is to support flexibility and agile transformations for both business domains and related information technology with more flexible enterprise information systems through adaptation and evolution of digital architectures. The present research paper investigates the continuous bottom-up integration of micro-granular architectures for a huge amount of dynamically growing systems and services, like microservices and the Internet of Things, as part of a new composed digital architecture. To integrate micro-granular architecture models into living architectural model versions we are extending enterprise architecture reference models by state of art elements for agile architectural engineering to support digital products, services, and processes.
With the Internet of Things being one of the most discussed trends in the computer world lately, many organizations find themselves struggling with the great paradigm shift and thus the implementation of IoT on a strategic level. The Ignite methodoogy as a part of the Enterprise-IoT project promises to support organizations with these strategic issues as it combines best practices with expert knowledge from diverse industries helping to create a better understanding of how to transform into an IoT driven business. A framework that is introduced within the context of IoT business model development is the Bosch IoT Business Model Builder. In this study the provided framework is compared to the Osterwalder Business Model Canvas and the St. Gallen Business Model Navigator, the most commonly used and referenced frameworks according to a quantitative literature analysis.
In this paper a method for the generation of gSPM with ontology-based generalization was presented. The resulting gSPM was modeled with BPMN/BPMNsix in an efficient way and could be executed with BPMN workflow engines. In the next step the implementation of resource concepts, anatomical structures, and transition probabilities for workflow execution will be realized.
Diese Arbeit liefert einen Konzeptentwurf, der die Integration verschiedener Systeme mit prozessrelevanten klinischen Diensten gewährleistet. Chirurgische Abläufe werden in Form von Prozessen modelliert. Die Wahl der Notation und die Art der Modellierung dieser Prozesse spielt in der heutigen Forschung in diesem Gebiet eine zentrale Rolle. Sind diese Prozesse modelliert, besteht die Möglichkeit, diese in einer Workflow-Engine automatisiert auszuführen. Im Rahmen der Entwicklung eines Workflow-Managment-Systems stellt sich die Frage, wie die Anbindung dieser Workflow-Engine mit anderen Systemen erfolgen soll. In der Arbeit werden Schnittstellen abstrakt in der Web Services Description Language (WSDL) definiert. Darum werden automatisiert Artefakte erzeugt. Auf der Grundlage dieser Artefakte erfolgt die Integration der Systeme. Die Workflow-Engine kommunizieren über SOAP-Nachrichten (Simple Object Access Protocol) mit den entsprechenden Systemen. Dieser Ansatz wurde mithilfe eines Prototyps validiert und umgesetzt.
This paper contributes to the automatic detection of perioperative workflow by developing a binary endoscope localization. Automated situation recognition in the context of an intelligent operating room requires the automatic conversion of low level cues into more abstract high level information. Imagery from a laparoscope delivers rich content that is easy to obtain but hard to process. We introduce a system which detects if the endoscope's distal tip is inside or outsiede the patient based on the endoscope video. This information can be used as one parameter in a situation recognition pipeline. Our localization performs in real-time at a video resolution of 1280x720 and 5-fold cross validation yields mean F1-scores of up to 0,94 on videos of 7 laparoscopies.
Software and system development is complex and diverse, and a multitude of development approaches is used and combined with each other to address the manifold challenges companies face today. To study the current state of the practice and to build a sound understanding about the utility of different development approaches and their application to modern software system development, in 2016, we launched the HELENA initiative. This paper introduces the 2nd HELENA workshop and provides an overview of the current project state. In the workshop, six teams present initial findings from their regions, impulse talk are given, and further steps of the HELENA roadmap are discussed.
Software startups often make assumptions about the problems and customers they are addressing as well as the market and the solutions they are developing. Testing the right assumptions early is a means to mitigate risks. Approaches such as Lean Startup foster this kind of testing by applying experimentation as part of a constant build-measure-learn feedback loop. The existing research on how software startups approach experimentation is very limited. In this study, we focus on understanding how software startups approach experimentation and identify challenges and advantages with respect to conducting experiments. To achieve this, we conducted a qualitative interview study. The initial results show that startups often spent a disproportionate amount of time focusing on creating solutions without testing critical assumptions. Main reasons are the lack of awareness, that these assumptions can be tested early and a lack of knowledge and support on how to identify, prioritize and test these assumptions. However, startups understand the need for testing risky assumptions and are open to conducting experiments.
Context: The current situation and future scenarios of the automotive domain require a new strategy to develop high quality software in a fast pace. In the automotive domain, it is assumed that a combination of agile development practices and software product lines is beneficial, in order to be capable to handle high frequency of improvements. This assumption is based on the understanding that agile methods introduce more flexibility in short development intervals. Software product lines help to manage the high amount of variants and to improve quality by reuse of software for long term development.
Goal: This study derives a better understanding of the expected benefits for a combination. Furthermore, it identifies the automotive specific challenges that prevent the adoption of agile methods within the software product line.
Method: Survey based on 16 semi structured interviews from the automotive domain, an internal workshop with 40 participants and a discussion round on ESE congress 2016. The results are analyzed by means of thematic coding.
Spekulationsblasen ziehen sich wie ein roter Faden durch die Geschichte der Finanzmärkte. Die erste bedeutende und dokumentierte Blase entstand im 17. Jahrhundert in Holland als weit bekannte Tulpenmanie. Weitere sollten in den nächsten Jahrhunderten folgen. Doch wie entstehen diese zumeist euphorischen und schlussendlich panikartigen Marktentwicklungen? Und wie konnte es immer wieder passieren, dass diese von Börsenprofis nicht rechtzeitig erkannt wurden? In diesem Buch stehen die Spekulationsblasen als Anzeichen für wiederkehrende und anhaltende Marktanomalien im Fokus der Betrachtung. Rolf J. Daxhammer und Máté Facsar erklären im ersten Teil die Entstehung und Ursachen für die Bildung von Spekulationsblasen sowie die unterschiedlichen Phasen und Arten. Dabei ist es ihnen besonders wichtig aufzuzeigen, dass diese sowohl positive als auch negative Effekte auf die Volkswirtschaften haben. Anschließend stellen die Autoren die wichtigsten Spekulationsblasen, beginnend mit der Tulpenmanie über die Südseeblase bis hin zu aktuellen Entwicklungen an Finanz- und Immobilienmärkten, vor. Der Leser ist somit in der Lage, typische Eigenschaften der Kapitalmärkte zu verstehen und die Entwicklung historischer Spekulationsblasen auf Basis des Fünf-Phasen-Modells zu erklären und dieses anzuwenden.
This paper reports an analysis of application and impact of FMEA on susceptibility of generic IT-networks. It is not new that in communication system, the frequency and the data transmission rate play a very important role. The rapid increase in miniaturization of electronic devices leads to very sensitivity against electromagnetic interference. Since the IT network with the data transfer rate makes a huge contribution to this development it is very important to monitor their functionality. Therefore, tests are performed to observe and ensure the data transfer rate of IT networks against IEMI. A fault tree model is presented and observed effects during radiation of disturbance on complex system by a HPEM interference sources are described using a continuous and consistent model of the physical layer to the application layer.