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Miyamura, Hiroko; Kureta, Masatoshi; Segawa, Mariko; Kubo, Jun*; Saito, Takafumi*; Suzuki, Yoshio; Takemiya, Hiroshi
Denki Gakkai Kenkyukai Shiryo, Sangyo Keisoku Seigyo Kenkyukai (IIC-10-73), p.7 - 12, 2010/03
An experiment is conducted to measure the water and oil in a metallic object by neutron radiography. In this approach, visualization of the oil in a rotating car engine at high speed is achieved by using the proposed high-speed camera. However, because the oil is mist and liquid, it is difficult to identify these conditions and to analyze them. Therefore, we try to identify the oil condition in the engine by employing a multi-scale analysis, which is an image processing technique.
Miyamura, Hiroko; Ozahata, Satoshi*; Nakao, Akihiro*; Kawashima, Konosuke*; Suzuki, Yoshio
Denki Gakkai Kenkyukai Shiryo, Sangyo Keisoku Seigyo Kenkyukai (IIC-10-85), p.27 - 32, 2010/03
We propose a network visualization system for a file-sharing network data-set. The network dataset consists of the information on nodes and links. As the number of links increases, the visualization of the network becomes challenging since the links usually cross over one another, which makes it hard to understand the structure of the network through the visualization. In order to present a network structure clearly and to identify keynodes that play important roles in the network, we propose a network visualization system. In this research, we propose additional techniques that support users searching the key node by using interactive functions such as filtering and node arranging.
Miyamura, Hiroko; Mitsukura, Yasue*
no journal, ,
We propose a volume data map to investigate inner structures and complex behaviors of datasets. Traditional visualization techniques provide an intuitive and effective way to explore volume datasets. However, these techniques suffer from the problem that visualization results depend on the viewing angle. Consequently, important information may be lost because they are unable to display hidden regions. To visualize information from all directions, we propose a volume data map projected in all directions. We consider this proposed map to be a navigation map for investigating three-dimensional datasets.