Ken'ichi Kakizaki

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We are investigating the logistic map over integers and its pseudorandom number generator. Focusing on differences between the logistic maps over floating-point numbers and over integers, we herein show that the integer format is a suitable representation for implementing the logistic map on computers with limited memories.
In the present paper, we show a design guide of a pseudorandom number generator using the logistic map with finite precision. First, we define three basic operations and two basic models of the pseudorandom number generator using an iterative map. Second, we implement two pseudorandom number generators employing their models with the logistic map with(More)
One of our investigation purposes is to give a design guide of a pseudorandom number generator using the logistic map with finite precision. In the present paper, we show that two sequences for slightly different parameters are completely different from each other, even if the logistic map has the same computational precision and the same initial values.(More)
This paper proposes a method to automatically organize and visualize related work events as a work-project structure. This is accomplished by accumulating and analyzing the target event and time of the user's operations such as registrations and references on a Personal Information Management system (PIM). Our processes for organization are : (1) extracting(More)