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Corporate foresight for the benefit of corporates' innovation climate
No full textCorporate foresight (CF) can be considered a future‐oriented capability that incorporates perceiving and prospecting. Extant CF‐related studies tackle the CF−innovation relationship but do not provide details on how CF relates to innovation climate. As we assume that the innovation climate of companies is a relevant antecedent to innovation, we conduct a quantitative empirical study with 147 upper‐tier managers to investigate how CF and the respective training of managers relate to a corporate's innovation climate. Results show that strong perceiving and prospecting positively influence the innovation climate, whereby prospecting is of particular importance. Further, we find that training managers in future‐oriented capabilities is only under certain circumstances (i.e., low prospecting) beneficial to the innovation climate in companies
BesserLesen : Ein Konzept für Lese- und Literaturunterricht in der Kultur der Digitalität
Full text linkLesekompetenz ist eine grundlegende Fähigkeit für die Teilnahme am schulischen und außerschulischen Leben. Trotz zahlreicher Maßnahmen, die zur Leseförderung im schulischen Alltag umgesetzt worden sind, erreichen ein Viertel der SchülerInnen am Ende der Grundschulzeit nicht das Mindestniveau an Lesekompetenz. Um zu einer umfassenden Leseleistungssteigerung aller Kinder beizutragen, bedarf es der Entwicklung eines ganzheitlichen Lese- und Literaturunterrichts, der evidenzbasiert und anschlussfähig an bestehende Strukturen ist. Gleichzeitig sollten veränderte mediale Nutzungsgewohnheiten, Sozialisationserfahrungen und Lesepraktiken von Kindern in der Kultur der Digitalität stärker berücksichtigt werden. Im Text wird ein Lesekonzept vorgestellt, das Kinder auf vielfältige Anforderungen in einer digitalen Gesellschaft vorbereitet und das in einen ganzheitlichen Schultransformationsprozess eingebettet ist
Enhancing the integration of East Asian exchange students at Hochschule München University of Applied Sciences : a stakeholder perspective
Full text linkThis thesis investigates the integration experiences and challenges faced by East Asian exchange students at Hochschule München University of Applied Sciences and explores the perceptions and contributions of various stakeholders towards the integration process. The study aims to provide actionable recommendations for enhancing the integration of East Asian exchange students at HM. The research employs a qualitative case study approach, conducting semi-structured interviews with five East Asian exchange students from Mainland China, Hong Kong, Taiwan, South Korea, and Thailand, as well as other stakeholders, including the President of the International Club, a staff member of the International Office, a German student with experience as an Erasmus buddy, and a teacher who has taught exchange students from East Asian countries.
The findings reveal that East Asian exchange students' motivation to study in Germany is primarily driven by a desire for broad cultural exposure rather than a specific interest in German culture. The study identifies various factors influencing the students' integration experiences, categorized into background factors (motivation, expectation, and preparation), situational factors (academic environment, social environment, and intercultural communication), and personal factors (engagement and willingness to improve).
Based on the analysis of these factors and the insights gathered from stakeholder interviews, the thesis provides comprehensive recommendations for individuals and institutions to support exchange students' integration at different phases of their journey. Key recommendations include fostering motivation among German and exchange students to engage in cultural exchange, encouraging professors to facilitate interaction between German and East Asian students during lectures, increasing German student participation in International Club events, enhancing the International Office's Orientation Days and implementing a testimonial program for exchange students.
The study concludes by emphasizing the importance of embracing the unique opportunities for personal growth and cultural enrichment that come with studying abroad, while also highlighting the need for evidence-based practices and a culture of inclusivity to create a welcoming environment for all students at HM
The effect of different additives on bacteria adsorption, compressive strength and ammonia removal for MICP
No full textMicrobial induced calcite precipitation is a commonly used technique for the application of biocementation. The metabolism of urea by ureolytic active bacteria leads, among other metabolic products such as ammonium, to carbonate ions. In the presence of calcium ions, calcium carbonate formation occurs. It was investigated whether the addition of different additives (Ca-bentonite, Na-bentonite, clinoptilolite, natrolite, limestone, marl clay, concresol, secursol, and activated carbon powder) can optimize this process. First, the influence of these additives on the adsorption rates and distribution of the ureolytic active organism Sporosarcina pasteurii in quartz sand columns was tested. Moreover, an investigation was conducted on the impact of various additives on ammonium immobilization to mitigate its leaching from soils subjected to the biocementation process. For eight additives uniaxial compressive strength tests in quartz sand columns and a storage method according to DIN EN 12390–2 were carried out. Each additive showed a characteristic adsorption and localisation progression. Furthermore, each additive was able to enhance the immobilization behavior of the present ammonium, with a maximum immobilization capacity of 10.76 mg(NH4+)/g(additive). The uniaxial compressive strength of biocemented columns out of quartz sand could sectionally be increased by the addition of each additive. However, the storage methodology shows a much greater influence on column strength. Overall, the best results were achieved with the two additives, Ca-bentonite and clinoptilolite, resulting in strength increases in sand columns of up to 4.64 and 3.22 N/mm2, respectively
Rethinking growth orientation : Do ski‐resorts' strategies fit the profiles of today's alpine skiers?
No full textThe strategy and marketing of ski resorts in the European Alps are still characterized by growth orientation and the extension of technical snow production to ensure high snow reliability. In contrast, this study hypothesizes that besides a high‐performing ski resort, winter ski vacationists have further expectations for activities during their stay varying by their skiing skill level and personal preferences. The present study surveys 1413 Alpine ski tourists to identify their daily routines, activities, and used ski resort services. The findings uncover significant differences in the activity profiles with six clearly distinguishable guest segments. The results highlight the need for custom‐tailored product development considering the complete set of winter experiences as well as pricing strategies that specifically target the identified segments. Furthermore, the findings underline that ski resort and destination managers need to include daily changes in snow and weather conditions in their strategies considering climate and demographic change
From surface roughness to crater formation in a 2D multi-scale simulation of ultrashort pulse laser ablation
No full textSurface roughness plays a critical role in ultrashort pulse laser ablation, particularly for industrial applications using burst mode operations, multi-pulse laser processing, and the generation of laser-induced periodic surface structures. Hence, we address the impact of surface roughness on the resulting laser ablation topography, comparing predictions from a simulation model to experimental results. We present a comprehensive multi-scale simulation framework that first employs finite-difference-time-domain simulations for calculating the surface fluence distribution on a rough surface measured by atomic-force-microscopy followed by the two-temperature model coupled with hydrodynamic/solid mechanics simulation for the initial material heating. Lastly, a computational fluid dynamics model for material relaxation and fluid flow is developed and employed. Final state results of aluminum and AISI 304 stainless steel simulations demonstrated alignment with established ablation models and crater dimension prediction. Notably, Al exhibited significant optical scattering effects due to initial surface roughness of 15 nm—being 70 times below the laser wavelength -leading to localized, selective ablation processes and substantially altered crater topography compared to idealized conditions. Contrary, AISI 304 with Rqsurface roughness of 2 nm showed no difference. Hence, we highlight the necessity of incorporating realistic, material-specific surface roughness values into large-scale ablation simulations. Furthermore, the induced local fluence variations demonstrated the inadequacy of neglecting lateral heat transport effects in this context
Transition zone parameter development in multi-material powder bed fusion: a general approach
No full textPower bed fusion of metals using a laser beam (PBF-LB/M) offers unique possibilities to manufacture functionally graded materials (FGM) consisting of different alloys. These so-called multi-material parts enable their material properties to be tailored to local material requirements. In this paper, a new methodical approach for the production of metal FGM with transition zones oriented in different directions and manufacturing sequences of the different materials is investigated. Existing approaches for the manufacturing of these transition zones were enhanced with graded parameter variations, spatial laser movement modulation techniques (wobbling), and geometric approximations using a step structure. For the validation of the approach and the characterization of the transition zones, the manufactured samples were investigated and characterized using optical microscopy and hardness profile measurements. Furthermore, the density of the transition zones was analyzed by image data processing. The feasibility of the presented methods is shown and the production of defect-free transition zones with controlled expansions for functionally graded materials via PBF-LB/M achieve
Societal transformation trough Zukunftsorte
No full textIn dieser Forschungsarbeit werden drei sogenannte Zukunftsorte hinsichtlich ihrer transformativen Kraft im Sinne des Wuppertaler Transformationsmodells untersucht. Voraussetzung für die Analyse der Orte ist der aktuelle Forschungsstand und die theoretische Fokussierung. Dabei sind vor allem die Grundlagen der gesellschaftlichen Transformation und das Wuppertaler Transformationsmodell als auch kommunale Entwicklungen zentral. Für die Datenerhebung werden Interviews mit acht beteiligten Personen der Zukunftsorte durchgeführt. Als Methode zur Auswertung der verschriftlichten Gespräche findet schließlich eine qualitative Inhaltsanalyse nach Mayring mit Ergänzungen von Gläser und Laudel Anwendung. Die Ergebnisse der Arbeit zeigen, dass nicht eindeutig festgelegt werden kann, ob Zukunftsorte transformativ nach dem Wuppertaler Transformationsmodell sind oder nicht. Verschiedene Aspekte aus dem Modell können zwar durchaus zutreffen, doch die Ausgestaltung ist in jedem Projekt sehr unterschiedlich. Auf diese Weise kommt es zu einer gewissen Varianz zwischen den Zukunftsorten. Hier kann gesagt werden, dass gerade diese Vielfalt letztendlich eine gewisse transformative Kraft ermöglicht. Gefördert werden kann diese durch eine umfangreiche Kommunikation und eine Vernetzung der verschiedenen Zukunftsorte für eine Steigerung der Reichweite. Zusätzlich wird festgestellt, dass es für die Anwendung in der Praxis und zur deutlichen Bewertung von konkreten Projekten eine gewisse Übersetzung des Wuppertaler Transformationsmodells benötigt. Auch ist zu hinterfragen, ob es aufgrund von bisherigen gesellschaftlichen Entwicklungen und Ereignissen eine Überarbeitung des Modells bedarf
Power Management Approach of Hybrid Energy Storage System for Electric Vehicle Charging Stations
No full textHighlights
What are the main findings?
- Efficient Power Distribution: The Hybrid Controller ensures a balanced power distribution between the two ESSs based on their State of Charge (SoC).
- Prioritization of Renewable Energy: The system prioritizes PV energy, maximizing the use of renewable sources and reducing grid reliance.
- Improved System Performance: Simulations using real-world datasets demonstrate improved energy efficiency, reduced grid load, and enhanced self-consumption of renewable energy.
- Validation Across Scenarios: The controller is validated through simulations across 24 scenarios, showcasing its adaptability to varying conditions.
What is the implication of the main finding?
- Enhancing Lithium Battery Longevity: The Hybrid Controller significantly increases the lifespan of a lithium battery by optimizing its usage, reducing charge-discharge cycles, and minimizing stress on the battery during peak loads.
- Environmental Impact: By prioritizing renewable energy and minimizing grid dependency, the system reduces the carbon footprint of EVCSs, supporting global decarbonization goals.
- Cost Reduction: Optimizing the use of renewable energy and efficient energy storage minimizes operational costs for EVCSs.
- Scalability and Adaptability: The Hybrid Controller can adapt to various locations and configurations, making it a scalable solution for future charging infrastructures.
Abstract
The applicability of Hybrid Energy Storage Systems (HESSs) has been shown in multiple application fields, such as Charging Stations (CSs), grid services, and microgrids. HESSs consist of an integration of two or more single Energy Storage Systems (ESSs) to combine the benefits of each ESS and improve the overall system performance. In this work, we propose a novel power management controller called the Hybrid Controller for the efficient HESS’s charging and discharging, considering the State of Charge (SoC) of the HESS and the dynamic supply and load. The Hybrid Controller optimises the use of the HESS, i.e., minimises the amount of energy drawn from and discharged to the grid, thus utilising and prioritising the provided Photovoltaic (PV) power. The performance of our proposal was assessed via simulation using various evaluation metrics, i.e., Autarky, charge/discharge cycle, and Self-Consumption (SC), where we defined 24 scenarios in different locations in Germany
A Stochastic-Geometrical Framework for Object Pose Estimation Based on Mixture Models Avoiding the Correspondence Problem
No full textPose estimation of rigid objects is a practical challenge in optical metrology and computer vision. This paper presents a novel stochastic-geometrical modeling framework for object pose estimation based on observing multiple feature points. This framework utilizes mixture models for feature point densities in object space and for interpreting real measurements. Advantages are the avoidance to resolve individual feature correspondences and to incorporate correct stochastic dependencies in multi-view applications. First, the general modeling framework is presented, second, a general algorithm for pose estimation is derived, and third, two example models (camera and lateration setup) are presented. Numerical experiments show the effectiveness of this modeling and general algorithm by presenting four simulation scenarios for three observation systems, including the dependence on measurement resolution, object deformations and measurement noise. Probabilistic modeling utilizing mixture models shows the potential for accurate and robust pose estimations while avoiding the correspondence problem