Gurkan Celik – M.Sc.
“Data Distribution System Design and ZigBee Based Application”
The increasing communication burden and energy consumption, changing security and user needs together with the developing technology require the transmission units to display intelligent behaviors while communicating with each other. To accomplish this, the network components for storing, processing and transmitting data; there is a need to evaluate the network situation and to organize the communication with each other well. For this purpose, optimized data distribution nodes are required within the networks that provide intelligent and low-cost data transmission, making their deployment efficient.
In this study, recommendations for positioning methods in terms of interoperability, performance, resource management and innovative integrated platforms that can meet various user expectations and data distribution techniques were made. ZigBee based nodes for real environment testing were designed and produced. Results of measurements that check the energy status of the modules on the network in a smart data distribution system for the next generation internet and take into account their distance from each other. With the experiments; time of arrival (ToA) and the received signal strength indicator (RSSI) methods are compared. The findings indicate that in ToA based measurements are on average 1.13 times lower under outdoor conditions and 1.17 times higher under indoor conditions. RSSI based measurements on average 2.4 and under indoor conditions 2.6 times higher under outdoor conditions than the reference distance. The difference of the ToA values gives more accurate results for longer distances, so the estimates are closer to the expected value as the distance increases. Several filtering and statistical methods were used to reduce the error rate of these values.
Ahmet Sefa Oztas – M.Sc.
“Bio-Acoustic Sensor and Classification Based Analysis System for Follow-Up Bowel Activity”
A bio-acoustic sensor system that can be used to record, observe and detect intestinal activity in real time. In clinical environments, increasing low-amplitude body sounds to an observable level and achieving precise signals are challenging due to ambient sounds. Typically, analog and/or digital filters are used to eliminate noise. In order to observe environmental noise and attenuate, two electret microphones in the bio-acoustic sensor design were used. In this thesis, a bio-acoustic sensor system prototype that can process and present bowel sounds in real time was designed and produced.