TY - THES A1 - Raza, Adil T1 - Technological Implementation According to the Market Needs in the Elderly Care Industry N2 - In Germany, there are almost 15,000 nursing care services that collect information about people in need of care on a daily basis. At present, elderly homes use manual processes for data collection, which leads to poor data quality, considerable inefficiency and burden on the caregiving staff. This thesis describes the current market situation and proposes a technological solution on how to improve the quality, effectivity, and efficiency of the elderly care sector by using data collection and utilisation techniques. Moreover, it justifies the advantages of technological usage, which assists the caregiving staff in relieving the burden of daily tasks and, importantly, helps to collect high-quality data that could be used to do predictive analysis and automate the monotonous processes involved in the elderly homes. A well-documented fully functional digital application prototype was developed and tested by the elderly health industry related individuals of different age groups. The digitisation of the data collection process played a significant role in the collection of high-quality data. Furthermore, the results indicate that usage of that data has a direct correlation with the emergency response time, which could be reduced by almost half. However, further research is required to improve the predictive analysis system and the user experience of the application. KW - Nursing homes KW - Caregiving staff KW - Doctors KW - Automation KW - Predictive analysis KW - Data collection KW - Data utilisation KW - Digital application Y1 - 2020 ER - TY - THES A1 - Khatiwada, Sabin T1 - AUTOMATION OF SOLAR WATER DISINFECTION (SODIS) ON A SMALL-SCALE USING ARDUINO DUE N2 - Clean water is essential for human health and well-being. In many parts of the world, access to safe drinking water is limited, leading to various waterborne diseases. Solar water disinfection(SODIS) is a simple and cost-effective method used to purify water using sunlight, where itinactivates the pathogens and makes the water safe for consumption. This disinfection process involves filling polyethylene terephthalate (PET) bottles with water and exposing them to sunlight for a specified period. The aim of this thesis is to develop a working prototype that exploresthe automation of SODIS on a small-scale using Arduino Due, a microcontroller board that offers advanced features for automation. The prototype consists of the necessary parts to perform SODIS automatically. In conventional SODIS, it is assumed that the required SODIS criteria are met within 6 hours of a sunny day. In contrast, in the prototype microcontroller pumps the water into the PET bottle, monitors sunlight exposure for 6 hours, determines disinfection, and then pumps out the water for consumption only when the threshold values for irradiance are met. If the conditions are not met, the exposure is extended by an hour each time and checked again. The prototype automates the SODIS on a small-scale using cost-efficient components. However, the prototype lacks oxygenation capacity, and there is a possibility of entering an infinite loop if the irradiance values are not met for a long time. The prototype could be further developed with extra sensors and extensive research for advanced automation. KW - Solar water disinfection KW - SODIS KW - Water disinfection KW - Irradiance KW - Sensors KW - Automation Y1 - 2024 ER - TY - THES A1 - Thissen, Erik T1 - Entwicklung eines prototypischen Tools zur Automatisierung der Erstellung von Linked Open Data aus Open Data Datensätzen N2 - Linked Data has become an increasingly important publication format for structured information. This thesis explores the extent to which the conversion of Open Data into Linked Open Data can be automated and identifies the main challenges and sources of error. The creation of a prototypical tool was used to gain insights into these challenges and sources of error during the conversion to Linked Data. These were then analyzed and solutions to these problems created. The resulting tool was evaluated with different Open Data datasets. The results show that it is able to partially automate the process of converting Open Data to Linked Open Data and that it succeeded in eliminating key barriers, like the necessary programming skills, currently needed to create Linked Data. This prototype contributes towards decreasing the barrier of entry to create Linked Data and indicates that further research could lead towards the fully automatic conversion to RDF. KW - Linked Data KW - Open Data KW - Automation KW - Data Processing KW - RDF Y1 - 2025 ER -