| Autor: |
Yen-Han Chen, Shin-Hung Chang, Guan-Yun Wang |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
2017 2nd International Conference on Computer and Communication Systems (ICCCS). |
| DOI: |
10.1109/ccoms.2017.8075177 |
| Popis: |
Slot machines are the most popular facility in casinos worldwide. With the advancement of computer technology, the operating reel spinning of the current slot machine is presented by computer software emulation instead of rotating mechanical iron reels. The reel strip table of a slot machine has many special pictures embedded for different attractive themes. Each slot machine achieves a hit rate based on the design and setting of a pay table where all possible payouts of winning patterns are listed. Authenticated slot machine is based on the stochastic model. Therefore, if the pay table of a slot machine is decided, its hit rate is calculated and determined. However, how fast will the hit rate be converged in a steady state? This study observes that different symbol permutations in a reel strip table significantly influence the hit rate convergence of a slot machine. To have a fast hit rate convergence, this study proposes an Embedding Symbol Algorithm (ESA) to embed symbols into the reel strip table of a slot machine. The experimental results show that using the reel strip table generated from ESA, hit rate is converged at least 1.5 times faster than that of reel strip tables generated by other symbol arrangement algorithms. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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