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Industrial Internet of Things (IIoT) systems are enhancing the delivery of services and boosting productivity in a wide array of industries, from manufacturing to healthcare. However, IIoT devices are susceptible to cyber-threats such as the leaking of important information, products becoming compromised, and damage to industrial controls. Recently, blockchain technology has been used to increase the trust between stakeholders collaborating in the supply chain in order to preserve privacy, ensure the provenance of material, provide machine-led maintenance, etc. In all cases, such industrial blockchains establish a novel foundation of trust for business transactions which could potentially streamline and expedite economic processes to a significant extent. This paper presents an examination of “Schloss”, an industrial blockchain system architecture designed for multi-factory environments. It proposes an innovative solution to increase trust in industrial networks by incorporating a fairness concept as a subsystem of an industrial blockchain. The proposed mechanism leverages the concept of taxes imposed on blockchain nodes to enforce ethical conduct and discipline among participants. In this paper, we propose a game theory-based mechanism to address security and trust difficulties in industrial networks. The mechanism, inspired by the ultimatum game, progressively punishes malicious actors to increase the cost of fraud, improve the compensation system, and utilise the reward reporting capabilities of blockchain technology to further discourage fraudulent activities. Furthermore, the blockchain’s incentive structure is utilised to reduce collusion and speed up the process of reaching equilibrium, thereby promoting a secure and trustworthy environment for industrial collaboration. The objective of this paper is to address lack of trust among industrial partners and introduce a solution that brings security and trust to the forefront of industrial blockchain applications.
This thesis is assigned by Carestream Dental in order to implement a launch plan of the Showpad (A Sales Enablement Platform) application in the EMEA region for the sales and marketing teams. To ensure successful implementation, a thorough analysis was conducted in order to review and established the necessity of the Showpad application. It was imperative to build an implementation plan before the launch. The application was structured and tested among the sales and marketing team to examine the benefits of the application before making any decisions about the Launch. The purpose of this thesis was:
To understand the full capabilities of the platform for sales and marketing.
To define and build a structure that fits the EMEA sales needs.
To this effect, build an implementation plan for a successful launch of the platform. Studying whether the application would add value to the sales and marketing team processes. This thesis was executed as quantitative research collecting data through primary research. A survey was conducted to find out whether the marketing and sales team found the platform useful for them and how they experienced the built-in structure and layout. The purpose of Showpad was to enable our sales and marketing work more efficiently when it comes to having materials for their working needs and the platform was intended to replace previous system, the decision to launch was based on their opinions and experiences. A workshop was organized with the sales and marketing representative as part of implementation plan to discuss internal and external processes of usage. The first step was to roll-out for internal marketing and sales and the second step to launch for external dealers. The overall look and feel of the platform was created in alignment with the Carestream Dental branding guidelines. The structure of the platform was built based on the sales needs and information collected during the workshop. The structure was clear, and content found easy to access in comparison to the platform already in place like Sharepoint. The platform improved the alignment and communication between the marketing and sales team to a good extent.
Introduction
(2015)
Der Investitionsprozess stellt einen wesentlichen operativen Bestandteil zur Zielerreichung der Unternehmensstrategie dar. Durch das Tätigen von Investitionen kann eine nachhaltige Wertsteigerung, ein langfristiges Wachstum oder die Sicherung des Unternehmens in Bezug auf den Wettbewerb gewährleistet werden. Das zentrale Problem besteht jedoch darin, die richtige Wahl der Investition zu treffen und vor allem unter Berücksichtigung eines begrenzt zur Verfügung stehenden Budgets einen effizienten Einsatz der finanziellen Mittel sicherzustellen. Anhand theoretischer Grundlagen der Investitionsrechnung wurde in Bezug auf den Bauchemie-Konzern Sto SE & Co. KGaA ein Investitionsprozess erarbeitet, welchem es ermöglicht, Investitionen zunächst zu kategorisieren und diese anschließend anhand ihrer quantitativen sowie qualitativen Nutzen zu bewerten, um letzten Endes eine objektive Grundlage für die Realisationsentscheidung zu schaffen. Die Bewertung umfasst dabei modifizierte Formen der klassischen Investitionsrechnungen, die Nutzwertanalyse hinsichtlich der qualitativen Eigenschaften sowie die Einführung eines Risiko-Managements. Mittels Outranking-Verfahrens werden die Investitionen einer Kategorie in Bezug auf die ermittelten Kennzahlen miteinander verglichen und unter der Berücksichtigung der Unternehmensstrategie der Sto SE & Co. KGaA selektiert. Die Selektion des Outranking-Verfahrens erfolgt in Form einer Rangfolge, welche die Investitionen in Bezug auf ihre Vorteilhaftigkeit filtert. Das Unternehmen erhält dadurch eine sachliche Darstellung der sinnvollsten Investitionen, wodurch der Entscheidungsprozess, auch im Falle eines begrenzten Budgets, aktiv unterstützt wird.
Collecting real-world data for the training of neural networks is enormously time-consuming and expensive. As such, the concept of virtualizing the domain and creating synthetic data has been analyzed in many instances. This virtualization offers many possibilities of changing the domain, and with that, enabling the relatively fast creation of data. It also offers the chance to enhance necessary augmentations with additional semantic information when compared with conventional augmentation methods. This raises the question of whether such semantic changes, which can be seen as augmentations of the virtual domain, contribute to better results for neural networks, when trained with data augmented this way. In this paper, a virtual dataset is presented, including semantic augmentations and automatically generated annotations, as well as a comparison between semantic and conventional augmentation for image data. It is determined that the results differ only marginally for neural network models trained with the two augmentation approaches.
This thesis investigates the persuasiveness of triathlon celebrities on consumer purchase intention, employing a quantitative research methodology grounded in the Source Credibility Model and the Match-up hypothesis. Through a survey-based approach, data was collected to analyse how consumers perceive characteristics of triathlon sports celebrities and how the match-up between triathlon celebrities and product types as well as the perceived characteristics affect consumer purchase intention. Running shoes and winter boots were selected as the two product types.
The study population consisted of a total sample size of 204 respondents. Descriptive statistics and multiple linear regression analyses were conducted to explore the relationships between triathlon sports celebrities' attributes, product-endorser matchup, and consumer purchase intention. Findings revealed significant positive relationships between perceived expertise and purchase intention for both running shoes and winter boots. Moreover, a positive relationship was observed between perceived physical attractiveness of triathlon celebrities and purchase intention for both products. While perceived trustworthiness did not significantly impact purchase intention, the study demonstrated a positive relationship between perceived product-endorser match-up and purchase intention for both products. Practical implications stemming from these findings emphasize the importance of strategic sport celebrity selection and product-endorser fit in endorsement campaigns. This research contributes to the academic field by focusing specifically on triathlon celebrities’ and their persuasive impact towards consumers.
Investigation of Long-Term Stability of Hybrid Systems-in-Foil (HySiF) for Biomedical Applications
(2020)
In this paper, the influence of current sensors of a NILM system is investigated. The current sensors of a classical inductive current transformer and a Rogowski coil are compared. To evaluate the actual influence on the NILM, measurements are performed with two measuring systems with different current sensors. With these measuring systems, 20 different consumers with 50 switch-on and switch-off cycles are measured in parallel. Besides, the influence of the sampling rate on the results of the NILM classification is evaluated. The classification is carried out with features normalized to the performance and without phase information, so only the signal waveform is used to differentiate the devices.
The paper shows the influence of low-pressure plasma on polyethylene terephthalate (PET) to achieve improved layer adhesion between PET and ALD multilayers. The literature describes a relationship between functional groups that are incorporated into the polymer surface and better layer adhesion. In this work, the relative number of functional groups after treatment on the surface of PET was measured by the surface energy.
The PET film Hostaphan® RNK was exposed to oxygen and argon plasma with varying treatment times. Subsequently, the surface energy was determined via the contact angle measurement.
The investigations have shown that with increasing treatment time in the oxygen plasma, an increasing surface energy is associated, which is due to the increased incorporation of functional groups, such as hydroxy groups. Furthermore, the results have confirmed the thesis that if the plasma treatment is too long, oxidation takes place on the polymer surface and thus the surface energy decreases. Another aspect that has emerged in the results of the study is the subordinate role of the power of the plasma.
Since the study has not proven the connection between a good layer adhesion, of ALD multilayers on PET, and a high surface energy, this work should serve as an indication for the investigation of this thesis.
ALD can be used in medical technology to produce thin and stable protective coatings. For example, such coatings can be used as tarnish and oxidation protection for silver electrodes used in high-frequency surgery. For the investigation of the pretreatment method, platelets of sterling silver were used instead of silver electrodes. Three methods were used to pretreat the silver substrates. The first pretreatment method is cleaning with acetone and isopropanol. In the other two, the samples are additionally cleaned with a phosphoric acid etching mixture or citric acid. The pretreated substrates were coated using the atomic layer deposition method. 45 nm of aluminum oxide was deposited on the silver samples, followed by another 45 nm of titanium oxide. Subsequently, the samples were autoclaved in order to check the clinical routine and the reusability. The results show a significantly improved adhesion in contrast to samples that were not cleaned. The layer no longer flakes off the silver substrate. Nevertheless, small blisters appear on the protective layer after autoclaving. These indicate that the layer is weakened by the stress.
Investigation on adhesion strength of Parylene-C coatings with different adhesion promotion methods
(2021)
Delamination of encapsulation materials (here the polymer Parylene-C) is one of the biggest failure mechanisms for active medical implants. This problem is addressed by the application of different pre-treatment and adhesion promotion methods. The methods applied in this research are oxygen and Silane A-174 solution pre-treatment and Silane A-174, titanium oxide and Trimethylsilane as adhesion promoters. The adhesion forces of these methods are quantified after different soaking times in phosphate buffered saline (PBS) solution to mimic environment of the human body.
In recent years, several studies have reported inadequate financial capability. Studies in Germany have shown similar results. While there was no statewide initiative, learning offers were available. However, the financial capability level did not increase over time. As a possible reason, the Dunning-Kruger Effect was hypothesised. According to the Dunning-Kruger Effect, participants with low ability would simply lack the ability to realise their lack of ability. This study investigated the investment capability of participants in Germany and tested for a possible Dunning-Kruger Effect. The results have shown no evidence for a Dunning-Kruger Effect. The study’s results were supportive of literature critical on the Dunning-Kruger Effect.