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Institute
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.
Abstract nicht vorhanden
The following is a description and outline of the work done at the Cornell Lab of Ornithology developing Nation Feathers VR, a virtual reality game for learning about bird calls and songs. The goal was to develop a game which is intuitive, educational and entertaining. Furthermore, the software needed to be structured in a way that allows for feasible future expansion. This required careful data saving and retrieval. The game gives the player an opportunity to learn and apply that knowledge, all while maintaining a shorter runtime in order to reduce the total time spent in the virtual world. This is meant to prevent any discomfort to the player that may result from extended use of the VR headset.
In this work, we discuss the key role that “conflict minerals” (Gold, Coltan, Cobalt, Tin, Tungsten) play in global supply chains and high-technology industries, and the issues surrounding their extraction and trade in origin
countries, particularly in the African Congo Basin and the Great Lakes Region. We discuss ongoing international efforts to combat violence, child labour and human rights violations at mineral extraction areas, particularly in the Democratic Republic of the Congo (DRC), where very large mineral reserves have been discovered. We present the OECD Due Diligence Guidance for Responsible Supply Chains of Minerals from Conflict-Affected and High-Risk Areas, and the
GOTS MineralTrace mineral proof-of-origin and trade chain certification solution developed by ibes AG in Germany, which automates and simplifies the implementation of the OECD Guidance. We discuss a pilot project in DRC involving the GOTS GoldTrace application, based on the MineralTrace platform. We point out MineralTrace’s benefits and its limitations. We analyse possible solutions to said limitations, including an analysis of blockchain-based transactional information exchange and record keeping systems, and finally we propose a new MineralTrace Application Programming Interface (API) that solves current limitations, introduces configuration flexibility for client applications, introduces workflow flexibility to adapt MineralTrace to any country or region, and simplifies data export functionality.
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.
Success story DAB in the UK
(2017)
The popularity of digital audio broadcasting in different countries can be explained mainly by means of historical development. In this work, the general technical conditions are explained and the mode of operation is explained. In addition, advantages, disadvantages and alternatives are presented. After that, the development of the digital radio in Germany and the UK is compared with the current situation in order to show how the differences have led to a different distribution and acceptance of the medium.
This bachelor thesis examines two main topics: Corporate Social Responsibility and Corporate Philanthropy as an integral part of it. It was written in order to prove the high importance of business philanthropy in today’s global market and to encourage companies to strengthen their CSR policy so as to contribute to the resolution of social problems. This paper reviews the theoretical framework of CSR, its evolution, types and theories relating to Corporate Philanthropy. Also it represents a comparative analysis of successful practices of corporate philanthropy in pharmaceutical and other global industries predominantly in Europe and USA. This work underlines competitive advantages and important socio-economic impact of CP and suggest recommendations for companies in developing their CSR activities. The subsequent paper is based on internet research using articles, presentations, reports and studies, websites and official legal documents.
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.
This thesis proposes a solution to the practical problem of supervising relatively basic mechanic processes in robotics by means of computervision. Supervision happens by comparing the tracked movement with a known, ideal recording of the movement that acts as a model.
First, this thesis analyzes possible approaches to the problem regarding data structures and representation, ways of extracting the data from the recording and ways to compare the data sets of two recordings. Then, a specific solution is implemented in C++ and explained.
The design of an interview model based on competencies arises from the need to have highly qualified people that contribute to the achievement of organizational objectives. It intendes to shape the department of human resources into a strategic area of the company. To achieve this, organizational competencies are defined, and guidelines for the elaboration of a portfolio of questions, as well as the design of a competency dictionary, are established. These serve as tools for the human resources processes of the company Visbal Moreno y Sucesores Ltd. Through this work, the importance of the human factor is exposed as part of the organizational strategy.