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DropConnect (the generalization of Dropout) is a very simple regularization technique that was introduced a few years ago and has become extremely popular because of its simplicity and effectiveness. In this thesis, a suitable architecture for applying DropConnect to Learning Vector Quantization networks is proposed along with a reference implementation and experimental results. Inmany classification tasks, the uncertainty of themodel is a vital piece of information for experts. Methods to extract the uncertainty and stability using DropConnect are also proposed and the corresponding experimental results are documented.
The subject of the following paper is the mental well-being of employees at their work and how the leader can improve this well-being using positive psychology. The paper is compilatory in nature because it uses research and literature of experts to analyse how employee mental well-being can be further stimulated. The expert literature is used to present tools, but also to demonstrate the effectiveness of these tools through real-life case studies and evidence. The paper wishes to inform persons, leaders, and entire organizations how positive psychology can be beneficial to organizational members’ well-being in the long term. Using a compilation of positive psychology literature and reallife case studies’ analysis, the informative purpose of the thesis can be achieved.
Object detection and classification is active field of research inmachine learning and computervision. Depending on the application there are different limitations to adjust to, but also possibilities to take advantage of. In my thesis, We focus on classification and detection of video sequence during night-time and the proposed method is robust since it does use image thresholding [8] which is commonly use in other methods and the thesis uses histograms of oriented gradients (HOG) [37] as features and support vector machine (SVM) [74] as classifier. It is of great importance that the extracted features from the images should be robust and distinct enough to help the classifier distinguish between high-beam and a low-beam. The classifier is part of the object detection which predicts whether or not a testing image matches one group or the other. In our case that is predicting whether or not an image belongs to high or low-beam sequence.
In the following study the properties of the superabsorbent polymer Broadleaf P4 were investigated according to the aim to apply that polymer within constructed wetlands. The application of the polymer in constructed wetlands shall result in an improvement of the removal of pesticides. For that the polymer was given into lab-scale wetlands together with pumice and were compared to a control wetland, which was filled with gravel. The wetlands were running for several weeks in which the nutrient removal was recorded. The polymer was also tested according to its property to adsorb the pesticides before adding the pesticides to the wetland beds.
Social media platforms play an increasing role in marketing, politics and police affairs, because they can strongly influence opinions. So called “opinion leaders” exert their influence in a given network and shape the opinions of other users. Identifying central nodes in a social graph has been of interest for decades. However, not all centrality measures were developed for social media platforms. They were built for social graphs, which did not include additional metrics (e.g. “likes”, “shares”). Nevertheless, these metrics play a crucial role on modern platforms. Hence, outdated measures need to be adjusted and additional metrics need to be integrated to ensure the best possible results.
In this thesis, the changes in economy and society and the resulting effects on the labor market are being outlined. Current studies show that the shrinking labor market and the increasing digitalization result in a lack of skilled tech talent and a transition from an employer market to a clear employee market. Derived from the findings of the scientific research on this topic and conducted expert interviews, practical recommendations for recruitment actions within the scope of employer branding will be defined in order to help corporations to gain the needed tech skill set and drive innovation.
The bachelor thesis is assigned to introduce the theoretical concept of Human Recourses Management, to analyze the work of human resources department of the LLC Tavria-V and to offer actions with recommendation to improve the productivity of the personnel. To start the implementation of actions for personnel management improvement, first of all, an overview of theoretical and methodological aspects of the HRM are presented and theories which earlier had an impact on our present running of the "workers" are described. Secondly, the concept of organizational work of the enterprise, main indexes and types of activities are figured out and in the form of tables and diagrams analyzed. The main object of the thesis - the process of personnel management with qualitative characteristics is described and presented. Using also the survey of employee all advantages and disadvantages of the present system of HRM are defined. Then in the last part, taking to account all data about current situation, recommended actions and effect for LLC Tavria-V on the basis of the personnel management analysis are presented in the work.
The aim of this bachelor thesis was to establish extracytoplasmic function (ECF) σ factors as synthetic genetic regulators for biotechnological and synthetic biology applications in the new emerging model organism Vibrio natriegens. Therefore, synthetic genetic circuits were engineered on plasmids as test set-up for the investigated ECFs and their target promoters. The resulting plasmid library consisted of the reporter plasmids with the target promoter, fused to a lux cassette, a set of high-copy ECF plasmids and a backup set of lower-copy ECF plasmids. First, the high-copy plasmids were transformed in V. natriegens to test them for their functionality upon different inducer levels, which yielded good inducibility for few, but showed too high ECF-expression in most strains. For this reason, the set of lower copy plasmids was used for combinatorial co-transformation, to investigate the ECFs for their cross-talk to unspecific ECF target promoters. The switching to the lower-copy plasmid-set seemed to be partly helpful, while still much room for fine-tuning of the circuits remains. The knowledge gained can be used to achieve higher success rates when engineering synthetic circuits for various applications in V. natriegens, by using the ECFs here recommended as suitable synthetic genetic regulators.