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Journal of Mechanical and Electrical Intelligent System (JMEIS, J. Mech. Elect. Intel. Syst.) An international open-access peer-reviewed journal ISSN 2433-8273
Vol.1, No.1
TABLE OF CONTENTS
Articles
Development of Legged Robot Having a Double Joint Mechanism Raymond Chi, Iwanori Murakami Journal of Mechanical and Electrical Intelligent System, Vol.1, No.1, pp.1-6, 2018. Abstract: In recent years, robots for service industry and home use, which have begun to spread, must act in the space where stairs and steps created on the premise that human beings use exist. Therefore, the robot needs a high-speed and dynamic operation like a human being. In this research, we propose a legged robot having a double joint mechanism. The legged robot is composed of a thigh, a knee, a calf, a lower thigh, a calf, an ankle, and a toe. The movable range of the thigh and the lower thigh is expanded by the double joint mechanism of the knee and the acceleration area of the thigh and the lower thigh is increased during the jumping motion.
Developing and applying 2-step learning for analysis of glomerular epithelial cell images Yusuke Ono, Tsutomu Matsuura, Toshiyuki Matsuzaki, Keiju Hiromura, Takeo Aoki Journal of Mechanical and Electrical Intelligent System, Vol.1, No.1, pp.7-15, 2018. Abstract: We have the impression that glomerular epithelial cells are bloating and changing in shape with kidney disease progress. However, these views are only from subjective observations, and so we need to have an objective basis such as statistical method. To obtain this basis, we prepared SEM images of glomerular epithelial cells which are taken from five types of mice of each disease stage. We divide these images into three groups with a relatively similar tendency. Our target is to quantify these changes by classifying these groups with high accuracy. In this paper, we propose the new method g2-step learningh for the classification with high accuracy and apply it for our dataset. So, we should validate the effectiveness of our method. As a result of our investigation, the accuracy of our method achieved 78.5%, and it is 12.6% higher than previous research. Furthermore, we confirmed the generalization ability of our method.
Uncertainty Evaluation of the Mechanical Properties in Drop-Ball Test using Three Coordinate Systems Hadi Nasbey, Akihiro Takita, Agus Setyo Budi, Mitra Djamal, Yusaku Fujii Journal of Mechanical and Electrical Intelligent System, Vol.1, No.1, pp.16-24, 2018. Abstract: In this study, the uncertainty of the mechanical properties in the Drop-ball test evaluated using three coordinate systems. In the drop-ball test, the spherical body containing a cube corner prism is dropped from an initial height and the inertial force acting on it is used as reference force. An optical interferometer is employed to obtain the velocity of the spherical body. Then the position and acceleration of the spherical body are calculated by integrating and differentiating the velocity, respectively. The force acting on the spherical body is calculated as the product of the mass and the acceleration. The triangle proportionality theorem is employed to calculate the mechanical properties in the measurement. The uncertainties of the mechanical properties are estimated using the general formula for error propagation.
Measuring the Impact Force Acting on the Clay by the Drop-ball test method based on the Levitation Mass Method (LMM) Hadi Nasbey, Akihiro Takita, Agus Setyo Budi, Yusaku Fujii Journal of Mechanical and Electrical Intelligent System, Vol.1, No.1, pp.25-33, 2018. Abstract: The impact force acting on a clay is measured by the Drop-ball test method based on the Levitation Mass Method (LMM). In the measurement, a spherical body containing a cube corner prism which is arranged so that its optical center coincides with the center of gravity of the whole body is dropped from an initial height to the clay under test. The velocity of the center of gravity of the whole body is measured using an optical interferometer as the function of the Doppler shift frequency. The position and acceleration is calculated by differentiating and integrating the velocity, respectively. Force acting on the spherical body is calculated as the product of the mass and the acceleration. Impact force acting on the clay is calculated as summation of gravitational force and force acting on the spherical body, if other forces, such as the air drag of the free fall motion and the magnetic force form the hollow circular electromagnetic which used to hold the spherical body, are negligible. In the experiment, the measured of maximum force acting on the clay is approximately 34.5 N with estimated uncertainty of 50.9 mN. This corresponds to 0.2 % of the maximum force acting on the clay.
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