1.1. Example: A Dice-Rolling Problem. In board games like Monopoly, Clue, Parcheesi, and so on, players take turns rolling a pair of dice and then moving tokens on a board according to rules that depend on the dice rolls. The rules of these games are all somewhat complicated, but in most of the games, in most circumstances, the number of spaces a player moves his/her token is the sum of the num...

Dice Coefficient is the techniques to find similarity of an object and widely used in digital library, sciences and other fields. Thus, this project is the first attempts to employed Dice Coefficient for selecting paper in conference management system. An experimental result with limited test cases indicates Dice Coefficient is potentially to be used in the broad spectrum of respective applicat...

The subject of Sicherman dice began with a question posed and answered by Colonel George Sicherman which was originally reported in the February 1978 issue of Scientific American. Sicherman wanted to determine if there was another way to label a pair of sixsided dice, using only positive integers such that the probabilities of the sums would be the same as a standard dice. Sicherman discovered ...

Role-playing games (RPG’s) use a variety of methods for rolling dice to add randomness to the game. In the simplest form, a small number of identical dice are rolled and added, but more advanced forms involve cumulative re-rolling of 6’s, doubling the value of doubles, removing the lowest or highest result or counting the number of dice that are below a threshold, and many other weird and wonde...

We introduce an adaptive learning environment named DALM (DICE adaptive learning model) based on DICE test-driven development (TDD) model that was implemented in a parse-tree based automatic on-line grader. In our opinion, there are three variables in DALM. The individual differences (I) classify the learners into several groups. The training method (T) that equivalent to TDD model in DICE can ...

In the biological domain, to extract the newly discovered functional features from massive literature is a major challenging issue. To automatically annotate GeneRIF in a new literature is the main goal in this paper. We try to find function words and introducers in the training corpus, and then apply such informative words to annotate the GeneRIF. The experiments showed that 48.15%, 49.78%, 32...

Thoracic and abdominal multi-organ segmentation has been a challenging problem due to the inter-subject variance of human thoraxes and abdomens as well as the complex 3D intra-subject variance among organs. In this paper, we present a preliminary method for automatically segmenting multiple organs using non-enhanced CT data. The method is based on a simple framework using generic tools and requ...