Hajime Igarashi

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Oral treponemes have been associated with periodontal diseases. We developed a highly sensitive and specific method to detect and quantify cultivable oral treponemes (Treponema denticola, Treponema vincentii, and Treponema medium) in 50 subgingival plaque samples from 13 healthy subjects as well as 37 patients with periodontal diseases using real-time PCR(More)
In this paper, we introduce an approach for the design of electromagnetic devices based on the use of Estimation of Distribution Algorithms (EDAs), coupled with approximation-based local search around the most promising solutions. The main idea is to combine the power of EDAs in the solution of hard optimization problems with the faster convergence provided(More)
We utilize optimization algorithms inspired by the immune system for treating the mixed H 2 =H 1 control problem. Both precisely known systems and uncertain systems with polytopic uncertainties are investigated. For the latter, a novel methodology is proposed to compute the worst case norms within the polytope of matrices. This methodology consists in(More)
— this paper proposes an effective technique to quickly detect and monitor peat forest based on wireless sensor network (WSN) and unmanned aerial vehicle (UAV) with focusing on their implementation and deployment in Central Kalimantan, Indonesia. Problems found in monitoring fires in peat lands are that satellites will not detect weak or small fires(More)
The reinforcement learning is applied to automatic parking problem for four-wheeled automobile. The automobile controlled by reinforcement learning learns the appropriate steering angle against the outer environment using distance measuring sensors. The Rational Policy Making (PRM) Method is introduced in order to cope with random start positions. The(More)
This paper introduces a novel image recognition method based on the neural oscillator network. In the present method, the dynamics of neurons is determined from neural coupling strengths relevant to the similarities in pixel levels, which have been used in the conventional image segmentation, as well as geometrical local features obtained from the Gabor(More)
This work analyzes the Real-coded Clonal Selection Algorithm (RCSA) for mono objective optimization in electro-magnetics. This algorithm presents a set of features enabling global search as well as the local improvement of the candidate solutions. An analysis of the sensitivity of the algorithm to its basic parameters shows that it is possible to suggest a(More)