In this paper, two technologies of metamaterial for microwave wireless power transfer are shown. One is a zeroth-order resonance for a microwave snow melting system, and another one is a focusing reflector for realizi...
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Reinforcement learning, deep learning, and deep reinforcement learning can effectively acquire action rules for the autonomous motion of objects. However, some researchers have reported that the machine learning proce...
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In this paper, two technologies of metamaterial for microwave wireless power transfer are shown. One is a zeroth-order resonance for a microwave snow melting system, and another one is a focusing reflector for realizi...
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ISBN:
(数字)9798350364774
ISBN:
(纸本)9798350364781
In this paper, two technologies of metamaterial for microwave wireless power transfer are shown. One is a zeroth-order resonance for a microwave snow melting system, and another one is a focusing reflector for realizing of a highly efficient wireless power transfer space. A zeroth-order resonance leads a uniformed microwave heating and a flexibility of feeding in a snow melting system. Focusing reflector can make some electromagnetic hot and null points in a space. These are expected to be required technologies for highly efficient wireless power transfer.
At the Fukushima Daiichi Nuclear Power Station (NPS), robots are used to propel the decommissioning work. Creating a 3D map of the internal environment of the decommissioning work is a necessary technology for improvi...
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ISBN:
(数字)9781728160788
ISBN:
(纸本)9781728160795
At the Fukushima Daiichi Nuclear Power Station (NPS), robots are used to propel the decommissioning work. Creating a 3D map of the internal environment of the decommissioning work is a necessary technology for improving the working efficiency of a decommissioning robot. The purpose of this research is to realize a 3D map creating a system using a camera by operating the humanoid general-purpose robot Pepper using the Robot Operating system (ROS) and implementing and executing Visual SLAM. The system aims to be applied to a decommissioning robot in the future. In this study, we implemented Visual SLAM methods R-tab Map, which is a method for constructing 3D maps in real-time, and Large-Scale Direct SLAM, which is method that generates a map using luminance with a large gradient between frames without using features for map generation. We also compared and evaluated the effectiveness of the generated maps. Besides, the robot was manually operated using nao_teleop, which can operate Pepper from the ROS library with the PS3 controller, the visualization software rviz, and the point cloud visualization library PointCloudViewer. Using two Visual SLAM's methods, we implemented the experiment. During the experiment, a chair was placed in front of Pepper as an obstacle. In this environment, Pepper was rotated 360 [deg] by manual operation. However, nao_teleop and Visual SLAM methods caused a conflict between the manual operation of Pepper and the 3D map generation process, and both processes stopped. Therefore, the 3D map wasn't generated. To resolve the conflict with operation, Pepper was moved by human and the experiment was again. As a result, the camera image obtained from Pepper was distorted, the map could not be optimized. Therefore, the part of 3D map was only generated. For this reason, to realize a 3D map generation system, it was important to properly calibrate the camera that could acquire a flat image without distortion.
Dynamic compression behavior of various kinds of polygonal tubular structures with ribs are investigated. Square hollow structures and that with rib reinforcement of aluminum extrusions are in dynamic axial compressio...
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The fatigue ratio [fatigue limit (?W) / tensile strength (?B)] of bulk metallic glass (BMG) was initially smaller by an order of magnitude than that of the crystalline structural alloys of 0.3 to 0.6. Then, the BMG wa...
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In this paper, the proposed study aims to achieve a better understanding of neuronal tolerance and contribute to the prediction of the secondary degeneration of diffuse axonal injury (DAI). Therefore, a uniaxial stret...
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This study examined the effect of the surface conditions on evaluating ductile cast iron matrix with the eddy current method. Specimens having matrix with various pearlite ratio were prepared. The surfaces of the spec...
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Clustering is a fundamental tool for data analysis. Typically, all attributes of the data are used for clustering. However, if a set of attributes can be divided into meaningful subsets, it may be effective to cluster...
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ISBN:
(纸本)9781509047963
Clustering is a fundamental tool for data analysis. Typically, all attributes of the data are used for clustering. However, if a set of attributes can be divided into meaningful subsets, it may be effective to cluster the data for each subset. In this paper, we propose a method for dividing the set of elements of feature vectors into meaningful subsets. Considering the dependencies between the elements, the correlation is used as the metric for clustering. In order to effectively solve the optimization problem, a technique for graph cut is used. After dividing the set of elements into subsets, clustering is performed for each subset. Experiments using a handwritten image database show the effectiveness of the proposed method.
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