Implementation of Vector Algebra and The Hybrid Pseudo Random Number Generator in Android Game of Kuaci

Abstract

Kuaci is a game property made of plastic and has various unique shapes. Two to ten people usually play Kuaci game in turn. The game starts with determining how many Kuaci will be at stake, and then each player puts the Kuaci into a box. At a distance of one foot from the box, a first straight line is made, and at a distance of two meters from the first line, the second line is created. From the second line, the kuaci master is thrown to the first line to determine the turn. The player’s turn is sorted from the closest one to the first line to the furthest from the first line. The first player tosses the Kuaci master into the box until the Kuaci master and the regular pieces located inside the box are out, then from the place where the Kuaci was thrown, the player aims at the opponent to eliminate it. If other players have been eliminated, then the player has won the game. The game was built on Android smartphone that has recently become the biggest contributor to the technological development of the traditional games. The authors implemented Vector Algebra in determining the direction of the computer player Kuaci master and The Hybrid Pseudo Random Number Generator on the determination of the throwing power of the computer player Kuaci master so the computer player can balance the game with the user. These methods implementation is to assure the user to play the game without eliminating the essence of the game such as managing the strategy to defeat the opponent. As a result, the performance of the opponent’s Kuaci master can run according to the difficulty of each game.

XORSHIFTUL+: A Novel Hybrid Random Number Generator for Internet Of Things And Wireless Sensor Network Applications

“…Rahmat et al developed a hybrid pseudorandom generator using Vector algebra for a traditional game called Kuaci that was recently developed for Android systems. Milliseconds of the system clock were used as seeds [29]. The generator recommended in this application has not been tested by any statistical test such as Diehard or NIST.…”