Development of intelligent techniques for dinar and dirham coins detection and price prediction /
Nowadays, there are several efforts to reintroduce the gold (Dinar) and silver (Dirham) coins among Muslim countries and even worldwide. This phenomenon directly increases the awareness among the people to buy gold for investment and other usages (e.g. paying zakat, barter trading, dowry, etc). Unli...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2013
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| Subjects: | |
| Online Access: | http://studentrepo.iium.edu.my/handle/123456789/4643 |
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| Summary: | Nowadays, there are several efforts to reintroduce the gold (Dinar) and silver (Dirham) coins among Muslim countries and even worldwide. This phenomenon directly increases the awareness among the people to buy gold for investment and other usages (e.g. paying zakat, barter trading, dowry, etc). Unlike jewelry, Dinar and Dirham coins have standard values such as standard weight, diameter, thickness and material content. Consequently, the conventional material content testers normally used for jewelry do not fulfill the Dinar and Dirham coins verification requirement since the aforementioned standard values are not measured. In this research, a real time system is developed to detect these bimetallic coins based on material content, diameter and thickness analysis. The developed coins detection system is equipped with three sensors comprising of eddy currents sensor, diameter measurement sensor and infrared sensor. A Colpitts oscillator is used as an eddy current sensor to test material content and physical properties of the coins. This oscillator circuit is designed through a combination of Genetic Algorithm (GA), Artificial Neural Network (ANN) and basic circuit analysis techniques, while the coil for this oscillator is designed base on experimental approach. Diameter measurement sensor in this system is used to measure the diameter of coin, whereas an infrared optical sensor is used to detect the presence of the test coin inside the system. Furthermore, in order to assist Dinar and Dirham investors know the most appropriate time to trade these bimetallic coins, a price prediction modal is developed and incorporated with coin prediction system. This price prediction model is developed through a combination of Autoregressive (AR) model and ANN to predict the next day price of Dinar and Dirham. Unlike existing techniques, in this study ANN is used to find the model coefficients for AR prediction model. Coin detection system and price prediction system are integrated in such a way that each time the Dirham coin is detected by the coin detection system, the prediction system will predict the next day price of that Dirham. AtMega328 microcontroller is used as the data acquisition and controller unit for the developed system. |
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| Item Description: | Abstract in English and Arabic. |
| Physical Description: | xx, 162 leaves : ill. ; 30cm. |
| Bibliography: | Includes bibiliographical references (leaves 120-127). |