JRM Vol.28 No.1 pp. 40-49
doi: 10.20965/jrm.2016.p0040


A Novel Approach to Quantitative Evaluation of Tangle Formations for Seaweeds in Stirrer Cultivation

Jun Ogawa*, Hiroyuki Iizuka*, Masahito Yamamoto*, and Masashi Furukawa**

*Graduate School of Information Science and Technology, Hokkaido University
Kita 14, Nishi 9, Kita-ku, Sapporo, Hokkaido 060-0814, Japan

**Department of System and Informatics, Hokkaido Information University
59-2 Nishi Nopporo, Ebetsu, Hokkaido 069-8585, Japan

April 1, 2015
November 18, 2015
February 20, 2016
seaweed cultivation, physical simulation, tangle formations, quantitative evaluation, support vector machine

A Novel Approach to Quantitative Evaluation of Tangle Formations for Seaweeds in Stirrer Cultivation

Seaweed tangle formation

We discuss novel approaches to the control of seaweed tangle formations in stirrer cultivation. Cultivating seaweed is one important way to avoid such formation. Because defining such formation is difficult based on human recognition alone, there is currently no quantitative evaluation criterion for formation. We develop physical simulation for analyzing formations in a water flow field and model three factors – physical, geometric and time – for characterizing formations. Our criterion is that formations are created by using these factors as input to a nonlinear support vector machine. To show the effectiveness of our simulation and criteria, we confirm the control effects of the water flow in simulation and the real world. Results show that our simulation model is useful for avoiding such formation in the real world.

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Cite this article as:
Jun Ogawa, Hiroyuki Iizuka, Masahito Yamamoto, and Masashi Furukawa, “A Novel Approach to Quantitative Evaluation of Tangle Formations for Seaweeds in Stirrer Cultivation,” J. Robot. Mechatron., Vol.28, No.1, pp. 40-49, 2016
Jun Ogawa, Hiroyuki Iizuka, Masahito Yamamoto, and Masashi Furukawa, J. Robot. Mechatron., Vol.28, No.1, pp. 40-49, 2016

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