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Character Modeling and Synthesis from Human Handwriting Motions with Esthetic Evaluation
Hiroyuki Fujioka,Hiroyuki Kano 한국과학기술원 인간친화 복지 로봇 시스템 연구센터 2007 International Journal of Assistive Robotics and Me Vol.8 No.4
We develop a scheme for constructing character font models from human handwriting data. First, handwriting motions are measured using a pen-tablet device, and stored as a 3-dimensional time series data. Then, the data is used to construct characters by employing B-splines and the theory of smoothing splines based on the minimum hand jerk model. We can then synthesize arbitrary words with arbitrary cursiveness. Moreover, by employing the concept of Induction Field in Vision, we propose a tuning method of the so-called smoothing parameter from an esthetic viewpoint of the resulting cursive characters. The effectiveness of the developed method is verified by some experiments, including those on calligraphic learning.
Development of Simulator of Allophone of Motors for Automobiles
Ryo Kano,Hiroyasu Ohtake,Yoshifumi Morita,Makoto Iwasaki,Hiroyuki Ukai,Yasuhiko Mukai,Hideki Kabune,Norihisa Ito 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
Recently reduction of allophone of motors for automobiles has received a great deal of attention. For this background, the final goal of our research is to develop a simulator for transfer characteristics of allophone of motors in automobiles. In this paper at the preparation phase for the development of a simulator, we investigated the applicability of the transfer function synthesis method (TFSM) experimentally. Additionally, we examined some problems to be solved for practical use of the TFSM by using the finite element method (FEM). As a result, it was found that the derivation of the transfer functions H22 and H33 at the connecting point was difficult and that the modeling accuracy of H22 and H33 had a large influence on the modeling accuracy of the total transfer function H41_sim. Moreover, the method to improve the modeling accuracy was proposed on the basis of the results by FEM analysis. It was confirmed that we could apply the TFSM to the simple test body with the contact area by using the proposed method and the adjustment for damping coefficient of the transfer function obtained by the curve fitting technique (CFT).
Jonny Herwan,Takashi Misaka,Seisuke Kano,Hiroyuki Sawada,Yoshiyuki Furukawa,Oleg Ryabov 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.3
Grey cast iron (GCI) is the most common metal casting product in the world. Therefore, achieving sustainable production for this particular material will provide a significant impact on the sustainability issue of metal industries in general. This paper attempts to enhance the sustainability of grey cast iron turning through a high speed, dry turning process. The effect of cutting parameters on three assessments of product sustainability index (PSI) called energy consumption (EC), tool cost (TC), and surface roughness (SR) was investigated using the Taguchi method. The analysis of the signal to noise (S/N) ratio shows that the minimum depth of cut (0.1 mm) gives the optimal performance for all three assessments. Meanwhile, the cutting speed and feed rate reveal a conflict in obtaining the best performance. To help with making a decision, a Taguchi-based Bayesian optimization method was proposed and the capability of the method on suppressing the number of samples to obtain the optimum cutting parameters was demonstrated. Furthermore, the reasons for the optimum cutting condition were also presented.