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Crop Field Extraction Method using NDVI and Texture from Landsat TM Images
Shibasaki, Ryosuke,Suzaki, Junichi 대한원격탐사학회 1998 International Symposium on Remote Sensing Vol.14 No.1
Land cover and land use classification on a huge scale, e.g. national or continental scale, has become more and more important because environmental researches need land cover and land use data on such scales. We developed a crop field extraction method, which is one of the steps in our land cover classification system for a huge area. Firstly, a crop field model is defined to characterize $quot;crop field$quot; in terms of NDVI value and textual information. Textual information is represented by the density of straight lines which are extracted by wavelet transform. Secondly, candidates of NDVI threshold value are determined by $quot;scale-space filtering$quot; method. The most appropriate threshold value among the candidates is determined by evaluating the line density of the area extracted by the threshold value. Finally, the crop field is extracted by applying level slicing to Landsat TM image with the threshold value determined above. The experiment demonstrates that the extracted area by this method coincides very well with the one extracted by visual interpretation.
A Design Method of a Model-following Control System
Hiroki Shibasaki,Rubiyah Yusof,Yoshihisa Ishida 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.4
This paper describes and demonstrates a model-following control system that is based on a switching function where an optimal gain matrix is determined by the LQR method. In our proposed method, the optimal gain matrix is derived such that it does not depend on the plant parameters. Simulation results show various cases including the nominal plant and the plant with a modeling error. The experimental study is also performed using a DC motor. The simulation and experimental results show that the proposed method has superior effectiveness.
Role of Epac2A/Rap1 Signaling in Interplay Between Incretin and Sulfonylurea in Insulin Secretion
Takahashi, Harumi,Shibasaki, Tadao,Park, Jae-Hyung,Hidaka, Shihomi,Takahashi, Toshimasa,Ono, Aika,Song, Dae-Kyu,Seino, Susumu American Diabetes Association 2015 Diabetes Vol.64 No.4
<P>Incretin-related drugs and sulfonylureas are currently used worldwide for the treatment of type 2 diabetes. We recently found that Epac2A, a cAMP binding protein having guanine nucleotide exchange activity toward Rap, is a target of both incretin and sulfonylurea. This suggests the possibility of interplay between incretin and sulfonylurea through Epac2A/Rap1 signaling in insulin secretion. In this study, we examined the combinatorial effects of incretin and various sulfonylureas on insulin secretion and activation of Epac2A/Rap1 signaling. A strong augmentation of insulin secretion by combination of GLP-1 and glibenclamide or glimepiride, which was found in <I>Epac2A</I><SUP>+/+</SUP> mice, was markedly reduced in <I>Epac2A</I><SUP>−/−</SUP> mice. In contrast, the combinatorial effect of GLP-1 and gliclazide was rather mild, and the effect was not altered by Epac2A ablation. Activation of Rap1 was enhanced by the combination of an Epac-selective cAMP analog with glibenclamide or glimepiride but not gliclazide. In diet-induced obese mice, ablation of Epac2A reduced the insulin secretory response to coadministration of the GLP-1 receptor agonist liraglutide and glimepiride. These findings clarify the critical role of Epac2A/Rap1 signaling in the augmenting effect of incretin and sulfonylurea on insulin secretion and provide the basis for the effects of combination therapies of incretin-related drugs and sulfonylureas.</P>