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Agaricus brasiliensis KA21 Improves Circulatory Functions in Spontaneously Hypertensive Rats
Hirokazu Tsubone,Yukitoshi Makimura,Masakazu Hanafusa,Yukiko Yamamoto,Yoshiharu Tsuru,Masuro Motoi,Sho Amano 한국식품영양과학회 2014 Journal of medicinal food Vol.17 No.3
The present study aimed to clarify the effects of Agaricus brasiliensis KA21 (i.e., Agaricus blazei) mushroom on circulatory function. Spontaneously hypertensive rats (SHRs) were fed 10% A. blazei-containing pellets (agaricus group) or normal pellets (control group) for 5 weeks from 6 to 11 weeks of age. For Experiment 1, tail blood pressure and heart rate were measured in the conscious SHRs. For Experiment 2, echocardiographic and blood biochemical measurements were performed in the anesthetized SHRs. In Experiment 1, blood pressure and heart rate were significantly lower in the agaricus group compared with the control group throughout the observation period. In Experiment 2, the agaricus group also showed a significant decrease in cardiac output accompanied by a decrease in heart rate and an increase in early and late ventricular filling velocity (E/A ratio). Moreover, levels of escape enzymes such as creatine kinase (CK), CK-BB, CK-MB, asparate aminotransferase, lactate dehydrogenase, and aldolase were significantly lower than in the control group. We concluded that the ingestion of feed containing A. brasiliensis KA21 can improve hypertensive cardiovascular hemodynamics by decreasing the working load of the heart, presumably by lowering the sympathetic nervous tone in SHRs.
Calibration and 3D Reconstruction of Images Obtained Using Spherical Panoramic Camera
Hirokazu Madokoro,Satoshi Yamamoto,Yo Nishimura,Stephanie Nix,Hanwool Woo,Kazuhito Sato 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
This study was conducted to develop a 3D reconstruction procedure for application to crop monitoring. For 3D construction of a similar target object, we compared images obtained from two camera types: a compact digital camera (CDC) and a spherical panoramic camera (SPC). First, we calculate camera parameters from images that include a checkerboard. Subsequently, we correct the image distortion including that of the target object using the camera parameters. Finally, we estimate camera positions and three-dimensional (3D) reconstruction based on the structure from motion (SfM). Experimentally obtained results demonstrated that the 3D reconstruction of a target object was improved after calibration compared with that before calibration. Moreover, we conducted an application experiment using a tree in an outdoor environment as a trial of practical use at a farm.
Development of a Prototype Mobile Robot for Mallard Navigation
Takuma Watanabe,Hirokazu Madokoro,Satoshi Yamamoto,Hanwool Woo,Kazuhito Sato 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
This paper presents a mobile robot prototype used for mallard navigation in a paddy field. One shortcoming of rice-duck farming is that a flock of mallards tends to gather in a specific area that produces a spring pond. This study was designed to develop a prototype of an autonomous mobile robot that guides a mallard flock to achieve highly efficient rice-duck farming. We developed a robot and waterproof boxes used for the protection of electric devices, including motors. The robot body is 270 mm long, 210 mm wide, and 250 mm high. Its body width is less than the length between rice stalks. After checking the waterproof capability for the body waterproof box, we conducted an indoor driving test for manual operation. Moreover, we conducted an outdoor evaluation tests to assess running on a gravel road and on a snowy road. We evaluated the robot performance not only for uneven surface roads including steps, but also for the range of wireless communication for controlling the robot.
Mallard Detection using Microphone Array and Delay-and-Sum Beamforming
Masumi Hashimoto,Hirokazu Madokoro,Kanji Watanabe,Masayuki Nishiguchi,Satoshi Yamamoto,Hanwool Woo,Kazuhito Sato 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
This paper presents a method of estimating the direction and position of mallards from voice information using arrayed microphones combined with delay-and-sum beamforming. Rice farming using mallards saves labor because mallards work instead of farmers. Nevertheless, the number of mallards declines when they are preyed upon by natural enemies such as crows, kites, and weasels. We consider that efficient management can be achieved from locating and identifying the locations of mallards and natural enemies using voice information that can be widely sensed in a paddy field. For this study, we developed a prototype system with 32 microphones installed as an array installed on our originally designed and assembled mount. We obtained benchmark sound datasets in an outdoor environment that comprises 18 grid points of 40 m width and 30 m depth. For direction estimation, no detection angle error occurred at 9 points. Estimation errors were increased at sharp-angle positions from the microphone array. For position estimation, our method correctly estimated 8 points.
Domain Adaptation for Agricultural Image Recognition and Segmentation Using Category Maps
Kota Takahashi,Hirokazu Madokoro,Satoshi Yamamoto,Yo Nishimura,Stephanie Nix,Hanwool Woo,Takashi K. Saito,Kazuhito Sato 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
Recognition accuracy obtained using deep learning drops precipitously when the training data are insufficient. This paper presents a data-expansion method for training of the transfer learning source domain. Using expanding images generated from weights on a category map as source data, we compared accuracies obtained from five derivative models and our previously reported method. Moreover, we obtained the result of domain adaptation between actual images and synthetic images using weights obtained during transfer learning. Based on those results, we verify whether the amount of training data can be expanded quantitatively and qualitatively. Experiment results obtained from two open benchmark datasets and our original benchmark dataset demonstrated that our proposed method outperforms the previous method under a guarantee of sufficient accuracy for the synthetic images.
Study on the Representative Minimum Area on a Test Site
Honda, Yoshiaki,Kajiwara, Koji,Yamamoto, Hirokazu 대한원격탐사학회 1997 International Symposium on Remote Sensing Vol.13 No.1
It is necessary to use the ground observational data to cadculate physical value in a wide survey unit (1km×1km) in order to verify the reliability of the algorithm for speculating physical variable from lkm satellite data. Since it is difficult to conduct the ground observation within whole wide area survey unit in short time, the minimal survey area which can represent a wide survey unit has to be determined. The objective of this study is to find the minimal representing area of a wide survey unit through the car survey and radio-controlled helicopter survey we developed in Mongolian grassland. As a result, it can be said that these systems used in the research are a good way to calculate the minimal representing area of a wide survey unit.