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Institution

Muroran Institute of Technology

EducationMuroran, Japan
About: Muroran Institute of Technology is a education organization based out in Muroran, Japan. It is known for research contribution in the topics: Electrical resistivity and conductivity & Magnetization. The organization has 2907 authors who have published 4860 publications receiving 56109 citations. The organization is also known as: MuroranIT & Muroran Kōgyō Daigaku.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors reported analyses of lead in annual ice layers from the interior of northern Greenland and in annual layers of ice from interior of the Antarctic continent, showing that lead concentrations increase from 0.200 γPb/kg ice today in north pole ice sheets, the sharpest rise occurring after 1940.

746 citations

Journal ArticleDOI
TL;DR: In this paper, the inner stable and protective rust layer which covered the surface of weathering steel mainly consists of nano-particles of α-FeOOH containing a considerable amount of Cr.

430 citations

Journal ArticleDOI
TL;DR: In this article, the authors established a plot of the anion height dependence of superconducting transition temperature Tc for the typical Fe-based superconductors and showed a symmetric curve with a peak around 1.38??.
Abstract: We have established a plot of the anion height dependence of superconducting transition temperature Tc for the typical Fe-based superconductors. The plot showed a symmetric curve with a peak around 1.38??. Both data at ambient pressure and under high pressure obeyed the unique curve. This plot will be one of the key strategies for both understanding the mechanism of Fe-based superconductivity and searching for the new Fe-based superconductors with higher? Tc.

408 citations

Journal ArticleDOI
TL;DR: The segmentation methods were applied to 100 dermoscopic images and evaluated with four different metrics, using the segmentation result obtained by an experienced dermatologist as the ground truth.
Abstract: In this paper, we propose and evaluate six methods for the segmentation of skin lesions in dermoscopic images. This set includes some state of the art techniques which have been successfully used in many medical imaging problems (gradient vector flow (GVF) and the level set method of Chan et al.[(C-LS)]. It also includes a set of methods developed by the authors which were tailored to this particular application (adaptive thresholding (AT), adaptive snake (AS), EM level set (EM-LS), and fuzzy-based split-and-merge algorithm (FBSM)]. The segmentation methods were applied to 100 dermoscopic images and evaluated with four different metrics, using the segmentation result obtained by an experienced dermatologist as the ground truth. The best results were obtained by the AS and EM-LS methods, which are semi-supervised methods. The best fully automatic method was FBSM, with results only slightly worse than AS and EM-LS.

369 citations

Journal ArticleDOI
01 Oct 1978-Talanta
TL;DR: A new method for extracting zinc(II) with 1-(2-pyridylazo)-2-naphthol (PAN) has been developed, based on the fact that a micellar solution of a non-ionic surfactant separates into two phases above a certain temperature, defined as the cloud point.

362 citations


Authors

Showing all 2918 results

NameH-indexPapersCitations
Kazuhiko Nakagawa8491741018
Kazuyuki Aihara68100421624
Kazuei Igarashi6845718191
Warren W. Burggren532469520
Toshio Masuda5150813539
Bram Vanderborght503929709
Akira Kohyama493829021
Mianxiong Dong493248652
Kaoru Ota462477638
Akihiko Kimura443457890
Jun-ichi Kadokawa422966384
Jesús S. Dehesa412916315
Norio Konno362984875
Masato Ohnuma351684328
Hiroshi Tazawa331193069
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202220
2021172
2020203
2019206
2018219