This study investigated seismic ground motion intensity to estimate the damage rates of low- and middle-rise RC buildings due to various earthquakes. It calculated the vulnerability functions of analytical models of R...
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This paper introduces an experimental method to detect the motion of an electrostatic Micro-Electro-Mechanical Systems (MEMS) resonator in aqueous media. The resonator comprises a micro cantilever beam subject to elec...
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In recent years, the increasing demand for electric vehicles, digital devices such as PCs and smartphones, and renewable energy storage systems has created a need for higher-performance batteries. Accordingly, the the...
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This study was performed to verify the feasibility of using a black ice danger area estimation function based on the wetness data acquired by a piezoelectric based RCS (Road Condition Sensor) through real road tests u...
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This study aims to acquire RL models for mobile robots to avoid pedestrians in unknown urban environments using deep reinforcement learning. Training is performed in urban environments in a virtual world created by th...
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ISBN:
(数字)9781665464543
ISBN:
(纸本)9781665464550
This study aims to acquire RL models for mobile robots to avoid pedestrians in unknown urban environments using deep reinforcement learning. Training is performed in urban environments in a virtual world created by the Unity game engine. The mobile robot runs using only monocular camera images and positional information, and does not use any external sensors other than the monocular camera, such as a LiDAR. Not only the current step, but also the last 5 steps are utilized for input states in learning. This is so that the robot can learn and predict the pedestrians’ movement. Since this is a challenging learning task for the robots, curriculum learning, in which the difficulty of the learning task increases step by step, is adapted. As a result of the learning, the robot acquired the ability to reach the goal while avoiding pedestrians, even in an unknown urban environment including pedestrians with unknown color appearances.
We present a method for integrating conductive traces into ceramic objects using a silver-based glaze compatible with traditional firing processes. Our glaze combines silver powder with a glass former and xanthan gum,...
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Magnesium-based batteries are potential candidates for next-generation rechargeable batteries due to the divalent nature of magnesium cations and the natural abundance of magnesium resources. In this study, the electr...
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The objective of this paper is to develop a robot system that can transmit the video taken by the drone to the computer in real time, use YOLO to recognize the image of pedestrians, and enable the ground robot to plan...
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In this paper, we compare two measurement techniques to analyze the dynamic response of a MEMS resonator, made of a microcantilever beam, that is electrostatically actuated via a side electrode. The first method is ba...
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