Refine
Document Type
- Article (5)
- Master's Thesis (3)
- Report (2)
- Working Paper (2)
- Bachelor Thesis (1)
- Conference Proceeding (1)
- Other (1)
- Study Thesis (1)
Language
- English (16) (remove)
Has Fulltext
- yes (16) (remove)
Keywords
- Data Mining (2)
- Neuronales Netz (2)
- data analysis (2)
- data mining (2)
- model car (2)
- neural networks (2)
- training data (2)
- virtual (2)
- Autonomous (1)
- Corporate culture (1)
Institute
Infusion stands are a central tool in health care. They are mainly found in hospitals, are
usually in use for many years, sometimes carry enormous loads (e.g. irrigation solutions,
perfusors), are also used by mobility-impaired persons to support walking, promote mobility
and self-determination during ongoing infusion therapy, and must be stored in sufficient
numbers. The weaknesses of the existing design of infusion stands are well known to users.
Nevertheless, for decades there has been no further development or adaptation to new,
changed requirements, let alone to new technical possibilities. In the short term, it makes
sense to further develop the existing infusion stand models in an evolutionary manner in
order to quickly produce an improvement in the functions and to mitigate the greatest
weaknesses. In this respect, the project team has shown in the context of technical
developments that there are very simple, but in terms of functionality, safety and data
protection very worthwhile adaptations that can and should be taken up by the industry. The
redesign of the basic element alone brings so much improvement for the use of this aid that
an industrialization in several senses – for the individual and society – would be more than
promising. With this research project, the project group would like to give an impulse for the
participatory involvement of users in assistive technology research. The user groups can
participate in different phases of the product development; at least the products should be
evaluated regularly in their application by the users.
Design of a transverse controller for an autonomous driving model car based on the Stanley approach
(2020)
The Stanley approach is an established transverse controller
for autonomous vehicle’s to follow a desired reference
path accordingly. In this publication, functional extensions of
the Stanley algorithm are demonstrated. The resulting overall
lateral controller can be used for autonomous model cars
especially.
This paper explores the influence of French cultural standards and dimensions on the corporate culture, the management style and the international development of the French petroleum company Total by using empirical methods. Due to its important degree of internationalisation, Total projects a considerably internationalised outward appearance, in which French national cultural influences are hardly recognisable. On the other hand, the internal processes and structures of the company are significantly more influenced by French cultural characteristics and standards. Qualitative individual interviews of employees from the middle management of Total provide the basis for the empirical examination. The results of these interviews confirm the findings of analytical studies, complement them with broader views and provide clear indications for the influence of national culture on the type of communication, hierarchical structure, as well as work organisation and decision making processes within the company.
This thesis deals with the analysis of the family policies in Finland, Sweden and Norway. The focus is on policies for families with children below the age of three years concerning day care and social services and benefits for parents. Thus, child benefit, child-related leave and home care allowance are in the centre of this thesis. The aspects of the welfare development, facts about their societies, as well as current challenges, complement this thesis. Eventually, the final analysis of the Nordic family policies is considered in an international comparison, focusing on Germany’s contextual issues.
A matter of reality
(2018)
Due to the increasing relevance of data, more and more data from various sources is accumulated for a variety of purposes. At the same time, however, there is a shortage of data in areas where it is urgently needed. Particularly in the field of machine learning, there is a lack of good and usable training data. Therefore, this research paper is concerned with the virtual data acquisition for the training of neural networks. For this purpose, first an application was developed that aims to generate virtual, automatically labeled data. Subsequently, a neural network was trained on the generated virtual data and tested on real data.
A matter of reality
(2018)
Due to the increasing relevance of data, more and more data from various sources is accumulated for a variety of purposes. At the same time, however, there is a shortage of data in areas where it is urgently needed. Particularly in the field of machine learning, there is a lack of good and usable training data. Therefore, this research paper is concerned with the virtual data acquisition for the training of neural networks. For this purpose, first an application was developed that aims to generate virtual, automatically labeled data. Subsequently, a neural network was trained on the generated virtual data and tested on real data.