Faculty Profiles - KITA, Eisuke

Papers - KITA, Eisuke

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Stock Price Forecast Using Bayesian Network Reviewed

Y. Zuo, E. Kita

Expert Systems with Applications Vol. 39 ( 8 ) page： 6729 - 6737 2012.6

Options Valuation by Using Radial Basis Function Approximation Reviewed

Y. Goto, F. Zhai, K. Shen, and E. Kita

Engineering Analysis with Boundary Elements Vol. 31 ( 10 ) page： 836 - 843 2007

Error Estimation and Adaptive Mesh Refinement in Boundary Element Method, An Overview Invited Reviewed

E. Kita and N. Kamiya

Engineering Analysis with Boundary Elements, Special Issue Vol. 25 page： 479-495 2001

Structural Design Using Cellular Automata Reviewed

E. Kita, T. Toyoda

Structural Optimization Vol. 19 ( 1 ) page： 64-73 2000

Parallel Adaptive Boundary Element Method Reviewed

N. Kamiya, H. Iwase, E. Kita

Computer Methods in Applied Mechanics and Engineering Vol. 134 page： 341-350 1996

Adaptive Boundary Element Method for Plane Quasi-Harmonic Equation: Application to Stress Analysis of Shaft Reviewed

E. Kita, Y. Ikeda, N. Kamiya

Computers and Structures Vol. 58 page： 757-763 1996

Trefftz Method:An Overview Invited Reviewed

E. Kita, N. Kamiya

Advances in Enginieering Software, Special Issue Vol. 24 ( 1-3 ) page： 3-12 1995

Speed Control Of Vehicles in Platoon Based On Ride Comfort Reviewed

Masaki Takahashi, Eisuke Kita

Proceedings of 2025 the 17th International Conference on Computer and Automation Engineering (ICCAE 2025) 2025.3

Data Augmentation Method Using Diffusion Models for Tomato Leaf Discrimination Problem Invited Reviewed

Masaya Oirase, Eisuke Kita

The Review of Socionetwork Strategies 2025.2

Comparison of Particle Swarm Optimization Algorithms in Hyperparameter Optimization Problem of Multi Layered Perceptron Invited Reviewed

Kenta Shiomi, Tetsuya Sato, Eisuke Kita

Computer Assisted Methods in Engineering and Science 2025.2

Data Augmentation Using Generative AI In Tomato Leaf Lesion Classification Problems Reviewed

Masaya Oirase, Eisuke Kita

2022 IEEE International Conference on Data Mining Workshop (IEEE ICDMW2024) 2024.12

Discrimination Of Brown Spot Leaf Disease From RGB Data Of Image Reviewed

Nao Yuasa, Daisuke Minamisawa, Ayana Takai, Masaya Oirase, Eisuke Kita

2022 IEEE International Conference on Data Mining Workshop (IEEE ICDMW2024) 2024.12

<bold>Direct plasma treatment of caryopses after flowering in brewer's rice cultivar Yamadanishiki enhanced those grain qualities through "Smart Agriculture System"</bold> Reviewed Open Access

Hashizume, H; Kitano, H; Mizuno, H; Abe, A; Hsiao, SN; Yuasa, G; Tohno, S; Tanaka, H; Matsumoto, S; Sakakibara, H; Kita, E; Hirosue, Y; Maeshima, M; Mizuno, M; Hori, M

SCIENTIFIC REPORTS Vol. 14 ( 1 ) page： 29454 2024.11

Language：English Publishing type：Research paper (scientific journal) Publisher：Scientific Reports

In present investigation, the effort is done to enhance the grain quality in brewer’s rice cultivar Yamadanishiki with the plasma treatment of caryopsis (rice fruit) on ripening process. Seedlings transplanted from a paddy field into pots were grown in a greenhouse, and each caryopsis was treated with plasma on 1, 5, 10 and 15 days after flowering (DAF). The ratio of white-core grains to total number of grains was decreased in the grains treated on DAF1, same level on DAF5, and increased on DAF10 and 15, respectively, compared with control grains. Moreover, same treatment test was conducted with seedlings transplanted from a paddy field into pots and grown in growth chambers equipped with a sensing system to monitor environmental and growth conditions, referred to the climatic conditions of paddy fields. The ratio of white-core grains to total number of grains was decreased in the grains treated on DAF1, and increased on DAF5, 10 and 15, respectively. We demonstrated that plasma treatment of caryopsis affected the formation of white core, and that environmental conditions in the growth chamber were simulated to a paddy field. We would advocate the next-generation agriculture using ICT and plasma, “Smart Agriculture System”, for producing high-quality crops.

DOI： 10.1038/s41598-024-78620-y

Design of Velocity Control Model in Robot Vehicle Platoon Reviewed

Yuki Yoshida, Eisuke Kita

2024 9th International Conference on Robotics and Automation Engineering 2024.11