Abstract:
A slot machine is provided in which after the base game processes are run a lottery is performed to determine whether or not any of the types of items from among three types are acquired. Further, when the second game is run the player can select the item type to be used during the second game from items acquired from the lottery of the base game (S113-S116). At the lottery process (S117) of the second game that follows, the lottery is performed using any of the lottery tables set with a predetermined winning probability (probability of obtaining a payout of “100”), in accordance with the combination of the types of items and the type of second game selected.
Abstract:
When symbols to be stopped on at least one inactivated line other than an activated line of pay lines make a winning combination, whether the winning combination on the inactivated line is to be reflected in a game result or not is determined by lottery. If it is determined that the winning combination on the inactivated line is to be reflected in a game result, a player is awarded in accordance with the winning combination on the inactivated line.
Abstract:
The photocatalyst granules of the present invention are photocatalyst granules prepared by molding a mixture containing photocatalyst particles and colloidal silica, and drying the molded mixture, wherein the content of the photocatalyst particles in the photocatalyst granules is 10% by weight or more. According to the photocatalyst granules of the present invention, since contact between the photocatalyst particles and the open air is not inhibited, thereby enabling the photocatalyst particles to contact with an organic matter sufficiently, oxygen or ultraviolet light, the photocatalytic activity is high. That is, the photocatalyst granules of the present invention are easy to handle and can be fixed on a solid, and also have excellent durability and high photocatalytic activity.
Abstract:
A method for recognizing an object image comprises the steps of extracting a candidate for a predetermined object image from an overall image, and making a judgment as to whether the extracted candidate for the predetermined object image is or is not the predetermined object image. The candidate for the predetermined object image is extracted by causing the center point of a view window, which has a predetermined size, to travel to the position of the candidate for the predetermined object image, and determining an extraction area in accordance with the size and/or the shape of the candidate for the predetermined object image, the center point of the view window being taken as a reference during the determination of the extraction area. A learning method for a neural network comprises the steps of extracting a target object image, for which learning operations are to be carried out, from an image, feeding a signal, which represents the extracted target object image, into a neural network, and carrying out the learning operations of the neural network in accordance with the input target object image.
Abstract:
A method for recognizing an object image comprises the steps of extracting a candidate for mineda predetermined object image from an overall image, and making a judgment as to whether the extracted candidate for the predetermined object image is or is not the predetermined object image. The candidate for the predetermined object image is extracted by causing the center point of a view window, which has a predetermined size, to travel to the position of the candidate for the predetermined object image, and determining an extraction area in accordance with the size and/or the shape of the candidate for the predetermined object image, the center point of the view window being taken as a reference during the determination of the extraction area. A learning method for a neural network comprises the steps of extracting a target object image, for which learning operations are to be carried out, from an image, feeding a signal, which represents the extracted target object image, into a neural network, and carrying out the learning operations of the neural network in accordance with the input target object image.
Abstract:
An endoscope system comprises first and second endoscopes each of which includes an elongated insertion tube and an imaging device, a light source for supplying illumination light to the endoscopes, a function for processing a signal originating from one of the imaging devices, and a video processor which mixes the signal with at least a signal sent from an external input terminal and outputs a given video signal corresponding to the first and second endoscopic images. The video signal provided by the video processor is output to a shared monitor, thus displaying two endoscopic images simultaneously.
Abstract:
A gaming machine and a controlling method thereof are provided. The gaming machine includes a mechanical symbol display unit which includes: a rotatable reel having a peripheral face with a plurality of symbols thereon; an illuminating device that is provided within a space on an inner periphery side of the rotatable reel and is controlled to emit light of at least two different colors; and an illumination controller. The symbols include a special symbol having at least two translucent portions each having a unique color that is the same as one of the at least two different colors. The at least two colors are selected in a way that, the special symbol is observable as a symbol in one single color or a symbol with a pattern of at least two colors according to the color of the emitted light.
Abstract:
A gaming machine which can control the tempo of the game to refresh the player while maintaining continuity of the game, enhancing entertainingness and amusement of the game, and encouraging the player's sense of achievements. The input unit receives an instruction related to a game. The memory stores a first symbol determination table causing that a specific symbol appears among rearranged symbols on the symbol display unit with a first probability and a second symbol determination table causing that the specific symbol appears among the rearranged symbols with a second probability higher than the first probability. The controller starts the game in response to the instruction received through the input unit to execute the game in a normal mode and shifting the normal mode to a chance mode according to the game result in the normal mode.
Abstract:
A gaming machine comprising: a base bet setting device for setting a bet number for a game; a display device for displaying a plurality of symbols; a special bet device for setting odds for a winning combination of symbols; an odds display device for displaying odds for a plurality of winning combinations, respectively; and a processor for controlling the game is provided. The processor is operable to: calculate a payout amount by multiplying a payout rate with the bet number set by the base bet setting device when any one of the plurality of winning combinations of symbols is displayed; calculate a total payout amount by multiplying the payout amount with the odds set by the special bet device; and pay out the total payout amount.
Abstract:
A plurality of reels which variably display a plurality of types of symbols when a base game is started are provided. The symbols to be stopped in the base game are decided, and it is decided for each of a plurality of the reels whether or not a feature game is to be generated. Based on a result of the decision, the varying and displaying of the reels are sequentially stopped while differentiating a stopping time of each thereof from the others. At this time, in a case of determining that the feature game is decided to be generated for the reel in which the varying and displaying are stopped previously, a CPU starts the feature game while continuing the varying and displaying of the other reels.