Ken'ichi Kakizaki

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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)
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.
We have been investigating behaviors of the logistic map over integers for constructing a pseudorandom number generator with the map. In the presented paper, we will give a 0/1-occurrence rate per bit for values by the logistic map over integers, and discuss suitable bit positions of a bit extraction for getting a pseudorandom bit sequence. First, we will(More)
In businesses, knowledge of work is represented by a sequence of related work events and management of these relations is very important for users. This paper proposes a method that automatically groups related work events from user’s operation record on a Personal Information Management system(PIM). We assume that the related work events on a PIM are(More)
A purpose of our research is to provide a design of a pseudorandom number generator with the logistic map over integers. In the presented paper, we will discuss an influence of a control parameter on outputs generated by the logistic map. Additionally, this result will give a design guide about an interval of a bit extraction from values by the logistic(More)