http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Vegetation Classification from Time Series NOAA/AVHRR Data
Yasuoka, Yoshifumi,Nakagawa, Ai,Kokubu, Keiko,Pahari, Krishna,Sugita, Mikio,Tamura, Masayuki 대한원격탐사학회 1999 International Symposium on Remote Sensing Vol.15 No.1
Vegetation cover classification is examined based an a time series NOAA/AVHRR data. Time series data analysis methods including Fourier transform, Auto-Regressive (AR) model and temporal signature similarity matching are developed to extract phenological features of vegetation from a time series NDVI data from NOAA/AVHRR and to classify vegetation types. In the Fourier transform method, typical three spectral components expressing the phenological features of vegetation are selected for classification, and also in the AR model method AR coefficients are selected. In the temporal signature similarity matching method a new index evaluating the similarity of temporal pattern of the NDVI is introduced for classification.
Yasuoka, Yoshifumi,Takeuchi, Wataru,Ochi, Shiro,Tamura, Masayuki 대한원격탐사학회 2001 International Symposium on Remote Sensing Vol.17 No.1
Methane has high global warming potential and its increase may give a serious impact to our future climate and environment. Since wetland is one of the major emission sources of methane estimation of methane emission Requires precise characterization of wetland conditions in global or continental scale. This study examined a remote sensing method to estimate methane emission from extensive well and areas. A scaling method between high spatial resolution data (SPOT HRV) and coarse resolution but wide coverage data (NOAA AVHRR) was investigated to extrapolate local information on land cover mixture condition in wetland from HRV to more extensive area through AVHRR, and to estimate wetland coverage area more precisely. First, in SPOT data, land cover types of the area was classified into four categories including vegetation. water, and two types of hoes which are sources of methane. and next AVHRR image density was statistically regressed with category mixture ratio derived from HRV pixels in each AVHRR pixel. This scaling model from regression analysis provides wetland converage ratio in sub-pixel level only from SBHRR data. The method was applied to western Siberian wetland, and total emission of methane was calculated by multiplying estimated bog areas with unit emission rate of methane in each bog types.
Patch-type large strain sensor using elastomeric composite filled with carbon nanofibers
Yasuoka, Tetsuo,Shimamura, Yoshinobu,Todoroki, Akira The Korean Society for Aeronautical and Space Scie 2013 International Journal of Aeronautical and Space Sc Vol.14 No.2
Carbon nanofibers (CNFs) are electrically conductive. When CNFs are used as fillers in resin, this electrical conductivity can be yielded without adversely affecting the mechanical properties of the resin. When an elastomer is adopted as the resin, a conductive elastomer can then be produced. Due to its flexibility and conductive properties, a large strain sensor based on changes in resistivity may be produced, for strain sensing in flexible structures. In this study, a patch-type large strain sensor using resistivity change in a CNF/elastomer composite was proposed. The measurement limits of the sensor were investigated experimentally, and the limit was found to be 40%, which greatly exceeded the limits of conventional metal-foiled strain gages. Also, the proposed CNF/elastomer large strain sensor can be used to measure flexible materials, while conventional strain gages cannot be used to measure such strains.
Mikako Yasuoka,Chikako Tange,Yukiko Nishita,Makiko Tomida,Ryota Watanabe,Hiroshi Shimokata,Rei Otsuka,Masayo Kojima 대한노인병학회 2023 Annals of geriatric medicine and research Vol.27 No.1
Background: This study evaluated the chronological changes in physical and cognitive functions in middle-aged and older adults with and without rheumatoid arthritis (RA). Methods: This population-based case-control longitudinal study included individuals aged 40–79 years at baseline who agreed to participate. We identified 42 participants with RA and randomly selected 84 ageand sex-matched controls. Physical function was assessed according to gait speed, grip strength, and skeletal muscle mass. Cognitive function was assessed based on the information, similarities, picture completion, and digit symbol substitution test scores of the Wechsler Adult Intelligence Scale-Revised Short Form. The general linear mixed models comprised the fixed effects of the intercept, case, age, time in years since baseline, and case×time interaction, which were used to examine longitudinal changes in physical and cognitive functions. Results: Regardless of RA status, grip strength decreased and the picture completion score increased in the group aged <65 years, while skeletal muscle mass index and gait speed decreased in the group aged ≥65 years. The interaction of case×follow-up years for grip strength in the group aged ≥65 years was significant (p=0.03). The decline in grip strength in the control group (slope=-0.45) was greater than that in the RA group (slope=-0.19). Conclusion: Chronological changes in physical and cognitive functions were comparable between participants with and without RA; however, the decline in grip strength in the control group was greater among older adults with RA.
Patch-type large strain sensor using elastomeric composite filled with carbon nanofibers
Tetsuo Yasuoka,Yoshinobu Shimamura,Akira Todoroki 한국항공우주학회 2013 International Journal of Aeronautical and Space Sc Vol.14 No.2
Carbon nanofibers (CNFs) are electrically conductive. When CNFs are used as fillers in resin, this electrical conductivity can be yielded without adversely affecting the mechanical properties of the resin. When an elastomer is adopted as the resin, a conductive elastomer can then be produced. Due to its flexibility and conductive properties, a large strain sensor based on changes in resistivity may be produced, for strain sensing in flexible structures. In this study, a patch-type large strain sensor using resistivity change in a CNF/elastomer composite was proposed. The measurement limits of the sensor were investigated experimentally, and the limit was found to be 40%, which greatly exceeded the limits of conventional metal-foiled strain gages. Also, the proposed CNF/elastomer large strain sensor can be used to measure flexible materials, while conventional strain gages cannot be used to measure such strains.
A Case of Pseudo-Meigs’ Syndrome Associated with Ovarian Metastases from Breast Cancer
Koma Naito,Shoji Oura,Hironao Yasuoka,Yoshitaka Okamura 한국유방암학회 2012 Journal of breast cancer Vol.15 No.4
A 54-year-old woman with long-lasting pleural effusion developed abdominal distention due to ascites from bilateral ovarian tumors. The patient had undergone breast-conserving surgery and axillary lymph node dissection for left breast cancer in October 2000, and had developed left pleural effusion in July 2006. Cytological examination of the pleural effusion found no malignant cells. Thoracic drainage with intrathoracic administration of OK-432 (Picibanil) had failed to control the pleural effusion. Positron emission tomography taken at the abdominal distention showed bilateral ovarian tumors. After failure to control the ascites with systemic and intra-abdominal chemotherapy, bilateral oophorectomy resulted in normalization of elevated serum tumor-marker levels and the disappearance of both the ascites and pleural effusions (i.e., pseudo-Meigs’ syndrome). Pathological examination showed the tumors to be estrogen receptor-positive metastatic ovarian tumors from her breast cancer. The patient remained well with no further recurrence for 40 months under aromatase inhibitor therapy.
Hisatake, H.,Matsubara, I.,Maeda, K.,Yasuoka, H.,Mazaki, H.,Shinohara, H.,Takahashi, M. 한국재료학회 1995 Fabrication and Characterization of Advanced Mater Vol.1 No.1
We observed the photoinduced irreversible change of complex permeability and an additional remarkable disaccommodation of magnetic permeability (DA) of single crystalline samples of yttrium iron garnet(YIG) below room temperature. One of the most interesting characteristics of these phenomena is the appearance of metastability in these properties at low temperatures, $T{\leq}250K$. These results are interpreted within the context of configuration coordinate(CC) diagrams with large lattice relaxations.