THAI COINS ANALYSIS AND CLASSIFICATION USING X-RAY FLUORESCENCE TECHNIQUE
Keywords:Thai Coins, X-Ray Fluorescence, machine learning, pattern recognition, non-destructive testing
This research developed the machine tool to measure a compositional of Thai coins using X-ray Fluorescence techniques. The methods used to determine the elemental composition of materials by measuring the energy of characteristic secondary X-rays that emitted after atoms have been excited by high-energy X-rays. In order to identify elements from the energy, an expert system for data analysis and classification is required. Expert systems can operate machine learning for computers to make pattern recognition by exploring the studies and constructions of algorithms that are able to learn and make predictions on data. Also, the analyze procedures are non-destructive testing and focused on evaluating the use of this technique as a screening tool for elemental composition of the coins. The learning 80 Thai coins in different Types data are mainly constituted by Cu, Ni, Al and Fe, respectively. The measuring results have revealed Cu, Ni contents in the old 1 Baht type and 5 Baht type, Cu, Al, and Ni contents in the 2 Baht type and Fe, Ni contents in the new 1 Baht type. Thus, Micro-X-ray fluorescence machine in this research has been chosen as a suitable non-destructive method to identify present the type elements in investigated artifacts.
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