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This market research paper has been prepared under the supervision of Prof. Dr. Wolfgang Veit of TH Köln and Prof. Dr. Carol Scovotti of University of Wisconsin-Whitewater in the course of the inter-university cross-border collaboration student research project “Export Opportunity Surveys (EOS)”. This study explores organic canned tomatoes export opportunities to the German and US markets.
Intelligent use of energy is one of the keys to success for an energy revolution. To meet this challenge, smart meters are suitable tools because INTELLIGENT use of energy means not only to use efficiency technology, but also to determine load shifting potentials and use them accordingly. Especially farms with high power consumption are becoming increasingly concerned about reducing energy costs due to rising energy prices and need a systematic analysis of their operational energy flow. To find solutions for farms, the NaRoTec e.V., the TH Köln, and the Machinery Ring Höxter-Warburg have joined forces with partners and launched the project "Intelligent Energy in Agriculture", which is funded by the state of NRW. The aim of the project is to be able to give individual advice recommendations for energy optimization of agricultural holdings. This will be achieved inter alia through an operational energy audit and current measurements in different operating ranges. To achieve this, smart meters were installed in selected energy-intensive dairy and pig farms. As part of the project, the installed smart meter information about the consumption of various plants and their components were analyzed, regularities and adaptability in loading history identified, and the energy efficiency of the equipment and systems used verified (especially pumps, ventilators, feeding systems). Then recommendations were formulated to shift electricity-intensive processes to times with low electricity costs and high intrinsic power production. The resulting findings will be used as the basis for intelligent energy management in the further course of the project. Overall, efficiency streamlining measures in the field of ventilation and lighting systems, flexible dry feeding systems by decoupling power purchase and consumption, as well as energy savings and related CO2 savings were determined.
This market research paper has been prepared under the supervision of Prof. Dr. Wolfgang Veit of TH Köln and Prof. Dr. Carol Scovotti of University of Wisconsin-Whitewater in the course of the inter-university cross-border collaboration student research project “Export Opportunity Surveys (EOS)”. This study explores organic black tea export opportunities to the German and US markets.
This market research paper has been prepared under the supervision of Prof. Dr. Wolfgang Veit of TH Köln and Prof. Dr. Carol Scovotti of University of Wisconsin-Whitewater in the course of the inter-university cross-border collaboration student research project “Export Opportunity Surveys (EOS)”. This study explores organic/fair trade coffee export opportunities to the German and US markets.
The rising worldwide energy demand leads to the depletion of fossil fuels reserves and at the same time, it increases the environmental impact caused by emissions of greenhouse gases (GHG).
Utilization of fossil fuels causes not only climate change impacts such as global warming, but also many other environmental problems such as water and soil contamination that pose potential risks to human and animal health.
Furthermore, increasing population growth leads to increased food demand and consumption. This upward trend creates competition between food and bioenergy markets. Hence, the so‐called “food or fuel” discussion is back.
Challenges to counteract deciding between food and fuel that focus on the need to produce sustainable energy, while protecting environment, are the keys to replacing fossil fuels and lowering their greenhouse gas emissions. For this purpose, a completely new strategy with a proper sustainable system to supplying world’s energy demand must be found.
When it comes to web applications and their dynamic content, one seemingly common trouble area is that of layouts. Frequently, web designers resort to frameworks or JavaScript-based solutions to achieve various layouts where the capabilities of Cascading Style Sheets (CSS) fall short. Although the World Wide Web Consortium (W3C) is attempting to address the demand for more robust and concise layout solutions to handle dynamic content with the recent and upcoming specifications, a generic approach to creating layouts using constraint syntax has been proposed and implementations have been created. Yet, the introduction of constraint syntax would change the CSS paradigm in a fundamental way, demanding further analysis to determine the viability of its inclusion in core web standards. This thesis focuses on one particular aspect of the introduction of constraint syntax: how intuitive constraint syntax will be for designers. To this end, an experiment is performed involving participants thinking aloud while reading code snippets. Also, cursor movements are recorded as a proxy for eye movement over the code snippets. The results indicate that, upon first-impression, constraint syntax within CSS is not intuitive for designers.
This thesis focuses on the identification of influential users, also known as key opinion leaders, within the social network Instagram. Instagram is a very popular platform to share images with the option to categorise the images by certain tags. It is possible to collect public data from Instagram via the open API of the platform.
This thesis presents a concept to create an automated crawler for this API and col- lect data into a database in order to apply algorithms from graph theory to identify opinion leaders afterwards. The sample topic for this thesis has been veganfood and all associated posts from Instagram have been crawled.
After the user data has been crawled a graph has been created to do further research with common social network analysis tools. The graph contained a total set of more than 26,000 nodes.
To identify opinion leaders from this graph, five di↵erent metrics have been applied, in particular PageRank, Betweenness centrality, Closeness Centrality, Degree and Eigen- vector centrality. After applying the di↵erent algorithms the results have been eval- uated and additionally an marketing expert with focus on social media analysed the results.
This project was able to figured out that it is possible to find opinion leaders by using the PageRank algorithm and that those opinion leaders have a very good value of en- gagement. This indicates that they show a high interaction with other users on their posts. In conclusion the additional research options are discussed to provide a future outlook.
This market research paper has been prepared under the supervision of Prof. Dr. Wolfgang Veit of TH Köln and Prof. Dr. Carol Scovotti of University of Wisconsin-Whitewater in the course of the inter-university cross-border collaboration student research project “Export Opportunity Surveys (EOS)”. This study explores organic canned corn export opportunities to the German and US markets.
There is a dramatic shift in credit card fraud from the offline to the online world. Large online retailers have tried to establish countermeasures and transaction data analysis technologies to lower the rate of fraudulent transactions to a manageable amount. But as retailers will always have to make a trade-off between the performance of the transaction processing, the usability of the web shop, and the overall security of it, one can assume that e-commerce fraud will still happen in the future. Thus, retailers have to collaborate with relevant business partners on the incident to find a common ground and take coordinated (legal) actions against it.
Trying to combine the information from different stakeholders will face issues due to different wordings and data formats, competing incentives of the stakeholders to participate on information sharing, as well as possible sharing restrictions that prevent them from making the information available to a larger audience. Moreover, as some of the information might be confidential or business-critical to at least one of the parties involved, a centralized system (e.g. a service in the public cloud) can not be used.
This Master Thesis is therefore analysing how far a computer supported collaborative work system based on peer-to-peer communication and Semantic Web technologies can improve the efficiency and effectivity of e-commerce fraud investigations within an inter-institutional team.
The goal of the ComProSol project is the mobilization of currently unused biogenic contingents such as residual and waste material for bioenergy feedstocks. Another budding option is the reactivation of fallow land to grow energy crops and short rotation coppice for energy recovery.
In the course of Germany’s bioeconomy program, which will switch the economy from a petro-based to a bio-based society, the prioritized utilization of bio-based resources should always be the hierarchically most valuable. Food and forage production are given preference over material recycling and extracting raw materials. Another driver is the growing consciousness of environmental issues and nature conservation which limits the available cultivatable area by law. As a result, there is a supply bottleneck of economically competitive feedstock for bioenergy. In this context, the interdisciplinary project is based on the systematic interconnection of applications to create utilization cascades.
Methodical corrective measures of ComProSol focus on influencing fuel properties by preconditioning through substrate and additive compound blending, sieving and compacting, and integrating process optimization. Collaboration with other subprojects that deal with bio- or thermal-chemical conversion will provide additional impetus for developing utilization applications.
The initial work package of ComProSol, which recently started, defines the scope by dint of a regional potential feedstock cadaster in order to specify the further roadmap.