Radio Frequency Micro Electro Mechanical Systems RF MEMS

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Human activity recognition and behavior monitoring in a home setting using wireless sensor networks (WSNs) provide a great potential for ambient assisted living (AAL) applications, ranging from health and wellbeing monitoring to resource consumption monitoring. However, due to the limitations of the sensor devices, challenges in wireless communication and the challenges in processing large amounts of sensor data in order to recognize complex human activities, WSN-based AAL systems are not effectively integr...
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Goktas, H.; Demir, A.; Kacar, E.; Hegazy, H.; Turan, Raşit; Oke, G.; Seyhan, A. (Informa UK Limited, 2007-01-01)
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Raman Spectroscopy Investigation of Nano Hydroxyapatite Doped with Yttrium and Fluoride Ions
Yilmaz, Bengi; Evis, Zafer (Informa UK Limited, 2014-01-02)
In this study, nano hydroxyapatite doped with yttrium (2.5, 5, and 7.5mol%) and fluoride (2.5mol%) ions were synthesized by precipitation method and sintered at 900 degrees C, 1100 degrees C, and 1300 degrees C. Raman spectroscopy was applied to track the structural modifications in pure and doped hydroxyapatites. The results showed that the main characteristic band of pure hydroxyapatite at 963cm(-1) was not affected significantly by ion doping but exhibited higher intensity with increasing sintering tempe...
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This paper demonstrates the feasibility and advantages of using a self-organizing map (SOM)-type neural network classifier for electromagnetic target recognition. The classifier is supported by a novel feature extraction unit in which the Wigner distribution (WD), a time-frequency representation, is utilized for the extraction of natural-resonance-related energy feature vectors from scattered fields. The proposed target classification technique is tested for a set of canonical targets, displaying an excelle...
Citation Formats
T. Akın, “Radio Frequency Micro Electro Mechanical Systems RF MEMS,” 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42059.