TY - THES A1 - Pyshchyk, Igor T1 - Erstellung eines Machine Learning Frameworks zur Sentimentanalyse von Twitterposts N2 - The present bachelor theses discusses the creation process of a framework for the sys-tematic analysis of twitter posts regarding their sentiment. The result is an application, which links and uses the covered theoretical approaches for text classification. KW - Natural Language Processing KW - Classification KW - Supervised Learning KW - Machine Learning KW - Sentiment Analysis Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6227 ER - TY - THES A1 - Vogt, Jan T1 - Entwicklung und Evaluation einer generischen Dialogstruktur für Voicebots zur Vereinbarung von Terminen in der Kundenbetreuung Y1 - 2020 ER - TY - THES A1 - Hüwe, Niclas T1 - Analyse der Sensorabhängigkeit einer LiDAR-basierten Objekterkennung mit neuronalen Netzen N2 - The task of object detection in the automotive sector can be performed by evaluating various sensor data. The evaluation of LiDAR data for the detection of objects is a special challenge for which systems with neural networks can be used. These neural networks are trained by means of a data set. If you want to use the net with your own recordings or another data set, it is important to know how well these systems work in combination with data from another sensor. This allows the results to be estimated in advance and compared with the results of previous experiments. In this work the sensor dependence of a LiDAR based object recognition with neural networks will be analysed. The detector used in this work is PointRCNN [1], which was designed for the KITTI dataset [2]. To check the sensor dependency, the ’AEV Autonomous Driving Dataset’ (A2D2) dataset [3] was selected as a further dataset. After an introduction to PointRCNN and its functionality, the data of both datasets are analysed. Then the data of the second dataset will be ported into the format of the KITTI dataset so that they can be used with PointRCNN. Through experiments with varying combinations of training and validation data it shall be investigated to what extent trained models can be transferred to other sensor data or datasets. Therefore, it shall be investigated how strong the dependence of the detector (PointRCNN) on the used sensors is. The results show that PointRCNN can be evaluated with a different dataset than the training dataset while still being able to detect objects. The point density of the datasets plays a decisive role for the quality of the detection. Therefore it can be said that PointRCNN has a sensor dependency that varies with the nature of the point cloud and its density. Keywords: LiDAR data, 3D object recognition, laser scanner, sensor dependency, PointRCNN, PointNet++, PointNet, KITTI Dataset, AEV Autonomous Driving Dataset, A2D2 Dataset Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6200 ER - TY - THES A1 - Tchamba Sefekme, Nestor Patient T1 - ERC-20-based smart contracts for high performance GPU-Computation-on Whole-Genome Human Metabolic Simulations Y1 - 2020 ER - TY - CHAP A1 - Nurhas, Irawan A1 - Boutouil, Moussa A1 - Geisler, Stefan A1 - Pawlowski, Jan T1 - Design Principles of Collaborative Learning Space Connecting Teachers and Refugee Children - a Design Science Research Study T2 - 12th International Conference on Education and New Learning Technologies N2 - Learning the German language is one of the most critical challenges for refugee children in Germany. It is a prerequisite to allow communication and integration into the educational system. To solve the underlying problem, we conceptualized a set of principles for the design of language learning systems to support collaboration between teachers and refugee children, using a Design Science Research approach. The proposed design principles offer functional and non-functional requirements of systems, including the integration of open educational resources, different media types to develop visual and audio narratives that can be linked to the cultural and social background. This study also illustrates the use of the proposed design principles by providing a working prototype of a learning system. In this, refugee children can learn the language collaboratively and with freely accessible learning resources. Furthermore, we discuss the proposed design principles with various socio-technical aspects of the well-being determinants to promote a positive system design for different cultural and generational settings. Overall, despite some limitations, the implemented design principles can optimize the potential of open educational resources for the research context and derive further recommendations for further research. KW - Intergenerational Learning KW - Children Refugee KW - Learning Technology KW - Collaborative OER KW - Storytelling for Kids Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6187 SN - 978-84-09-17979-4 SN - 2340-1117 VL - 2020 SP - 6771 EP - 6780 ER - TY - THES A1 - Thiel, Sabrina T1 - Positive Co-Creation - Konzeption eines Co-Creation-Modells unter Berücksichtigung des Positive Computing N2 - Das Ziel der vorliegenden Bachelorarbeit ist die Konzeption eines neuen Ansatzes − die Positive Co-Creation −, der die Elemente des Positive Computing in die Co-Creation integriert. Dafür wurden in einer Literaturanalyse die bestehenden Schwachstellen der Co-Creation herausgearbeitet, um anschließend die Vorteile des Positive Computing aufzuzeigen. Nach der Entwicklung eines spezifischen Modells der Positive Co-Creation, inklusive der verwendeten Methoden und deren Auswirkungen auf die Wohlbefindensfaktoren, wurde das Modell anhand von Experteninterviews evaluiert und verbessert. Das Ergebnis dieser Arbeit ist ein theoretisches Modell der Positive Co-Creation, welches den Prozess vollständig abbildet und einen Ansatzpunkt für eine praktische Umsetzung bildet. Dieser Ansatz ist gut geeignet, um bestehende Co-Creation-Prozesse anhand von Technologien um die Aspekte des Wohlbefindens zu erweitern. N2 - The purpose of the presented bachelor thesis is the conceptualization of a new approach, the Positive Co-Creation, which integrates elements of Positive Computing into the Co-Creation. For this purpose, the existing flaws of co-creation were identified in a literature analysis, in order to subsequently demonstrate the advantages of positive computing. After the development of a specific model of the Positive Co-Creation, including the methods used and their effects on the factors of well-being, the model was evaluated and improved by the suggestions of expert interviews. The result of this work is a theoretical model of Positive Co-Creation, which completely depicts the process and provides a starting point for a practical implementation of this model. This approach can be used to enhance existing co-creation processes by adding the aspects of well-being through technology. Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6130 ER - TY - BOOK T1 - IEEE Workshop 2019 - Industrial and Medical Measurement and Sensor Technology, Vehicle Sensor Technology N2 - IEEE Workshop 2019 - Industrial and Medical Measurement and Sensor Technology, Vehicle Sensor Technology Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6024 SN - 978-3-946757-00-9 ER - TY - BOOK T1 - IEEE Workshop 2016 - Industrial and Medical Measurement and Sensor Technology, Vehicle Sensor Technology N2 - The highly successful lecture series on the topic of measurement and sensor technologies as part of the IEEE Workshop at the University of Applied Sciences Ruhr West (HRW) is being continued in collaboration with the University of Siegen, the TU Chemnitz and the ITMO National Research University of Information Technologies, Mechanics and Optics in St. Petersburg. This time the event is featuring an even more international orientation by linking it with the Russian SENSORICA. The topics cover industrial and medical measurement technology as well as sensor technology in vehicles. Our event offers a platform for knowledge transfer between industry and public and commercial research institutions in the area of measurement technology. This Abstract Book offers the opportunity of contacting speakers even after the event. In addition we are very pleased to have selected contributions published in a special edition of the journal „tm Technisches Messen“ (De Gruyter Oldenbourg Verlag) again this year. Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-6000 SN - 978-3-9814801-7-7 CY - Mülheim an der Ruhr ER - TY - BOOK T1 - Kurzfassung der Beiträge zum IEEE Workshop 2014 Industrielle Messtechnik & Kraftfahrzeugsensorik N2 - Vortragsreihe der Hochschule Ruhr West Kurzfassung der Beiträge zum IEEE Workshop 2014 Industrielle Messtechnik & Kraftfahrzeugsensorik 28. März 2014, Band 3 Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1393-opus4-5992 SN - 978-3-9814801-5-3 CY - Mülheim an der Ruhr ER - TY - CHAP A1 - Radschun, Mario A1 - Morgenstern, Tino A1 - Schäfer, René T1 - Improved VNA Hardware for Applications in Civil Engineering N2 - The detection of soil erosion processes in dams, hydraulic heave failure or corrosion processes of reinforcing steel in concrete are a small selection of measuring applications in civil engineering where the impedance analysis can be used to determine the measurand. Those measuring applications are having high requirements for the measuring hardware. For example a common interface for fast data exchange, high resolution, independent functionality and easy customizability to suit the measuring application. For that reason, a well-known application for steel-mill process monitoring can be used as a development platform. This hardware platform is based on a vector network analyzer and is meeting the requirements mainly. However, a couple of modifications has to be made, like replacing the ADC for a higher sample rate, Ethernet for easy and fast data exchange and the microcontroller for more calculation power. Y1 - 2017 UR - https://www.researchgate.net/publication/315789298_Improved_VNA_Hardware_for_Applications_in_Civil_Engineering U6 - http://dx.doi.org/10.1109/SSD.2017.8166937 ER -