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( Takeshi Nakajima ),( Kayoko Kobayashi ),( Junji Sugiyama ) 한국목재공학회 2019 한국목재공학회 학술발표논문집 Vol.2019 No.1
Tree-ring analysis is an important field of science, including dendrochronology, dendroclimatology and modeling the tree growth environmental response system. In most cases the analyses have been conducted using one parameter from one tree-ring, e.g. ring-width, density, ratio of radioisotope, and so on. The information within a ring, however, has been less studied and many more things to be explored such as seasonal response in the shorter time scales. From another point of view, many species of softwood are often used into tree-ring analyses but our previous work revealed that simple CNN models did not work well in identification of softwood images where the morphology is rather regular or periodic. Therefore, substantial improvement in either feature extraction or the design of neural network was needed. In this study, therefore, we applied wavelet transform into deep-learning technique in order to extract information of tree growth environmental response in sub-seasonal time scales from softwood images.
Prediction of Wear Depth Distribution by Slurry on a Pump Impeller
Sugiyama, Kenichi,Nagasaka, Hiroshi,Enomoto, Takeshi,Hattori, Shuji Korean Society for Fluid machinery 2009 International journal of fluid machinery and syste Vol.2 No.1
Slurry wear with sand particles in rivers is a serious problem for pump operation. Therefore, a technique to predict wear volume loss is required for selecting wear resistant materials and determining specifications for the maintenance period. This paper reports a method for predicting the wear depth distribution on the blade of an impeller. Slurry wear tests of an aluminum pump impeller were conducted. Prediction results of wear depth distribution approximately correspond with the results of slurry wear tests. This technique is useful for industrial application.
Effectiveness of multi-mode surface wave inversion in shallow engineering site investigations
Feng Shaokong,Sugiyama Takeshi,Yamanaka Hiroaki Korean Society of Earth and Exploration Geophysici 2005 지구물리와 물리탐사 Vol.8 No.1
Inversion of multi-mode surface-wave phase velocity for shallow engineering site investigation has received much attention in recent years. A sensitivity analysis and inversion of both synthetic and field data demonstrates the greater effectiveness of this method over employing the fundamental mode alone. Perturbation of thickness and shear-wave velocity parameters in multi-modal Rayleigh wave phase velocities revealed that the sensitivities of higher modes: (a) concentrate in different frequency bands, and (b) are greater than the fundamental mode for deeper parameters. These observations suggest that multi-mode phase velocity inversion can provide better parameter discrimination and imaging of deep structure, especially with a velocity reversal, than can inversion of fundamental mode data alone. An inversion of the theoretical phase velocities in a model with a low velocity layer at 20 m depth can only image the soft layer when the first higher mode is incorporated. This is especially important when the lowest measurable frequency is only 6 Hz. Field tests were conducted at sites surveyed by borehole and PS logging. At the first site, an array microtremor survey, often used for deep geological surveying in Japan, was used to survey the soil down to 35 m depth. At the second site, linear multichannel spreads with a sledgehammer source were recorded, for an investigation down to 12 m depth. The f-k power spectrum method was applied for dispersion analysis, and velocities up to the second higher mode were observed in each test. The multi-mode inversion results agree well with PS logs, but models estimated from the fundamental mode alone show f large underestimation of the depth to shallow soft layers below artificial fill.
Establishment of a canine mammary gland tumor cell line and characterization of its miRNA expression
Tomohiro Osaki,Yuji Sunden,Akihiko Sugiyama,Kazuo Azuma,Yusuke Murahata,Takeshi Tsuka,Norihiko Itoh,Tomohiro Imagawa,Yoshiharu Okamoto 대한수의학회 2016 Journal of Veterinary Science Vol.17 No.3
Canine mammary gland tumors (CMGTs), which are the most common neoplasms in sexually intact female dogs, have been suggested as a model for studying human breast cancer because of several similarities, including relative age of onset, risk factors, incidence, histological and molecular features, biological behavior, metastatic pattern, and responses to therapy. In the present study, we established a new cell line, the SNP cell line, from a CMGT. A tumor formed in each NOD.CB17-Prkdcscid/J mouse at the site of subcutaneous SNP cell injection. SNP cells are characterized by proliferation in a tubulopapillary pattern and are vimentin positive. Moreover, we examined miRNA expression in the cultured cells and found that the expression values of miRNA-143 and miRNA-138a showed the greatest increase and decrease, respectively, of all miRNAs observed, indicating that these miRNAs might play a significant role in the malignancy of SNP cells. Overall, the results of this study indicate that SNP cells might serve as a model for future genetic analysis and clinical treatments of human breast tumors.