Institution
Nagoya Institute of Technology
Education•Nagoya, Japan•
About: Nagoya Institute of Technology is a education organization based out in Nagoya, Japan. It is known for research contribution in the topics: Thin film & Catalysis. The organization has 10766 authors who have published 19140 publications receiving 255696 citations. The organization is also known as: Nagoya Kōgyō Daigaku & Nitech.
Topics: Thin film, Catalysis, Dielectric, Enantioselective synthesis, Turbulence
Papers published on a yearly basis
Papers
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TL;DR: In this paper, thin films of carbon were deposited on single crystal silicon and quartz substrates by simple ion beam sputtering of camphoric carbon target, obtained from camphor: a natural source, at room temperature.
76 citations
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TL;DR: In this paper, the thinnest and longest CNTs with the highest number density were obtained using CH 4 /H 2 ǫ = 27/3 sccm at 10 Torr.
75 citations
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TL;DR: In this article, an experiment for detecting the fault in the bearing of a three phase induction motor is achieved by the frequency selection in the stator-current spectrum, and the diagnosis was performed by a support vector machine.
Abstract: In modern industrial environment, the demand for condition monitoring and maintenance management for the induction motor has increased. Among all the components of the induction motor, bearing is the critical component and the fault occurring in it has to be considered as a major issue. Usually, the bearing fault can be detected by the vibrational analysis. However, this method has a disadvantage that location of the equipment is not always easily accessible, and also it is quite costly. Thus, in this paper, an experiment for detecting the fault in the bearing of a three phase induction motor is achieved by the frequency selection in the stator-current spectrum. Their feature was evaluated by the fast Fourier transform and the diagnosis was performed by a support vector machine. Experimental results were obtained considering two types of outer raceway bearing faults at different load conditions and promising results were obtained.
75 citations
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TL;DR: In this paper, a three-dimensional elasto-plastic model for unsaturated soil is presented, using a transformed stress tensor based on the Extended SMP criterion.
75 citations
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TL;DR: A new three-dimensional image reconstruction method which utilizes a three- dimensional convolution process with an inverse filter function which is derived analytically by the point spread function of the projection and backprojection geometry is proposed.
Abstract: Conventional X-ray tomosynthesis with film can provide a sagittal slice image with a single scan. This technique has the advantage of enabling reconstruction of a sagittal slice which is difficult to obtain from the X-ray CT system. However, only an image on the focal plane is obtained by a single scan. Furthermore, the image is degraded by superimpositions of the structures outside of the focal plane. A new three-dimensional image reconstruction method is proposed. This method utilizes a three-dimensional convolution process with an inverse filter function which is derived analytically by the point spread function of the projection and backprojection geometry. A digital tomosynthesis system has also been constructed for the purpose of evaluating the proposed method. This system was used in phantom experiments and clinical evaluations, and it was confirmed that the proposed method was able to reconstruct a better three-dimensional image with less artifacts from outside of the focused slice. >
75 citations
Authors
Showing all 10804 results
Name | H-index | Papers | Citations |
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Luis M. Liz-Marzán | 132 | 616 | 61684 |
Hideo Hosono | 128 | 1549 | 100279 |
Shunichi Fukuzumi | 111 | 1256 | 52764 |
Andrzej Cichocki | 97 | 952 | 41471 |
Kwok-Hung Chan | 91 | 406 | 44315 |
Kimoon Kim | 90 | 412 | 35394 |
Alex Martin | 88 | 406 | 36063 |
Manijeh Razeghi | 82 | 1040 | 25574 |
Yuichi Ikuhara | 75 | 974 | 24224 |
Richard J. Cogdell | 73 | 480 | 23866 |
Masaaki Tanaka | 71 | 860 | 22443 |
Kiyotomi Kaneda | 65 | 378 | 13337 |
Yulin Deng | 64 | 641 | 16148 |
Motoo Shiro | 64 | 720 | 17786 |
Norio Shibata | 63 | 574 | 14469 |