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Development and testing of a measuring system for recording mechanical loads on industrial batteries
(2019)
The Faculty of Languages at the University of Applied Sciences Zwickau has a knowledge
base on critical incidents. Critical incidents capture and structure insights from critical situations in international mobility [Fet15]. With the rapid development of data and information, the
research platform CIs to Go has a clear need for a central search infrastructure that will allow
users to find and discover more relevant critical incidenst (or intercultural experinces as named
in the research platform CIs to Go). The data and information about critical incidents are stored
in open-source relational database management system PostgreSQL.
Nowadays it is inconceivable to use traditional RDBMS tools to analyze the data as they
grow very fast. The amount of information has steadily increased for years. Big Data provides
a solution for analyzing large amounts of data. Many search engine providers offer the solution
for analyzing large volumes of data, and companies are looking for open source solutions that
can quickly and reliably search, analyze, and evaluate large volumes of data. Elasticsearch
is a Lucene based search engine. Elasticsearch uses the concept of indexing to speed up the
search. This search engine provides a variety of options for free text queries, fuzzy matching
and indexing data. First, search engines and NLP toolkits are reviewed. This thesis also defines
the functional requirements of these tools. Then, an evaluation is given by indicating the positive
and negative aspects of the tools.
This thesis presents a complete search engine to be deployed on the research platform CIs
to Go as a new visual tool that helps in the process of searching for and finding intercultural
experiences.
In this paper, we propose cache replacement strategies based on the machine learning methods. As part of this work, we analyse the data provided for caching, design, and train Random Forest Regression and Gradient Boosting Decision Trees to predict the popularity of web objects. Finally we compare the proposed strategies with policies traditionally used for cache replacement to evaluate their applicability.
Between Clash of Civilizations and Global Identity - the Interdependence of Culture and Economics
(2019)
Our life is becoming faster, more connected and more global - this developments have a lot of positive but also negative effects. Being fearful towards the "different" is a growing phenomenon and the question arises of we heading towards a global identity or a clash of civilizations, which factors play the important parts and how did they come into existence. By using North African immigration in France as an example, an approach is made to put this topic in a smaller context in order to see where the scenario is heading to and what is conducive and/or detrimental.
China
(2019)
Speech-controlled Home Shopping in Virtual Reality (Investigation and Prototypical Realization)
(2019)
In order to discover and to identify possible improvements in the interaction between humans
and computers, research in speech recognition in combination with virtual reality provides
an opportunity to learn about scientific fields such as human-computer interaction. For the aim
of reaching a new level of interactivity between users and systems, the research in virtual reality
contributes to several innovative ideas for researchers to discover inventive features. The idea
beyond prototyping speech controlled home shopping in virtual reality is to overcome some
technical limitations in virtual reality and to serve direct interaction between the user and the
virtual reality environment through speech commands.
Due to the current emission standards and the even more environmentally friendly vehicle developing. The ethanol level in the fuel has been increased more and more over the past few years. This is the reason why the manufactures must look out for while developing the engine management software.
To get a subjective point of view of what happens with this increase, a universal test procedure was established. A fully instrumented gasoline vehicle was tested with four test fuels. During testing the procedure had to be modified from the first seen data. That is why two Drive cycles had been generated.
After the evaluation of the collected data, the influence of ethanol on the cold start and warm up phase was shown. As a result, higher ethanol content in the fuel increased hesitation and negative effect of that component. Also, it became even more clear, that this test procedure should be used for more than just one vehicle. This would help with clarifying if this effect was caused by the ethanol alone or if the software or design of the engine had an influence on it.