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An Analysis of 2D/3D Data Fusion for a Sensor Resource Reduction
Takashi Matsuzaki,Mitsuhisa Ikeda,Hiroshi Kameda 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In tracking flying objects using 3D sensors which observe range and angle observations such as elevation and azimuth in 3D sensor system, there may not be enough 3D sensor resources such as a number of radar and radar beams. In consequence, it it difficult to achieve desired tracking accuracy due to the lack of 3D sensor coverage, it cannot be done to achieve users’ desired tracking accuracy. Therefore, to apply 2D sensors for 3D sensor system is needed in term of filling some blank of 3D sensor coverage, and moreover it is necessary to minimize the 3D sensor resources at the same time. 2D sensor observes angle observations (elevation and azimuth). In SICE2008, we have already proposed a 2D/3D Data Fusion method for launched target. However, this method is not confirmed in any condition, for example, situation based on combination of number of sensors, the location of sensors and performance of sensors, etc. In this paper, we carried on a sensitivity analysis of tracking accuracy for various location of 2D sensor platform with different location of 3D sensors, and various sensors, etc. As the result of the computer simulations, we could confirm one or two 3D sensors with 2D sensor system are superior to three 3D sensor system in a view point of tracking accuracy.
Asynchronous Track Algorithm Using TDOA/FDOA Measurements in the Distributed Sensor Network
Yuki TAKABAYASHI,Takashi MATSUZAKI,Hiroshi KAMEDA,Masayoshi ITO 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper proposes a target tracking algorithm using asynchronous TDOA(Time Difference of Arrival) and FDOA(Frequency Difference of Arrival) measurements for a single target in a distributed sensor network. A conventional algorithm, target localization through TDOA measurements cannot estimate target position when the number of TDOA measurements are not enough for localization at the same time. Thereby, track initialization time is delayed and track accuracy deteriorates in case of that probability of measurements detection for each sensor is low. Our algorithm uses TDOA and FDOA measurements at the different time to compute the position and velocity estimates. Through computer simulation trials, the validity of our algorithm is confirmed.
Identification of glyco-biomarker candidates for lung cancer using novel glyco-technologies
Yoshitoshi Hirao,Hideki Matsuzaki,Jun Iwaki,Minako Abe,Akira Togayachi,Atsushi Kuno,Takashi Ohkura,Hiroyuki Kaji,Masaharu Nomura,Masayuki Noguchi,Yuzuru Ikehara,Hisashi Narimatsu 한국당과학회 2012 한국당과학회 학술대회 Vol.2012 No.1
Lung cancer is the leading cause of cancer death worldwide. Currently, lung cancer is classified into two major types, small-cell lung cancer carcinoma (SCLC) and non-small-cell lung carcinoma (NSCLC), based on the histological appearance. The histological classification has important implications in the clinical practice guideline and the prediction of the patient prognosis. However, conventional serum markers used in clinical tests are insufficient for clinical demands due to the low sensitivity and the low specificity to distinguish them. We have identified a number of glyco-biomarker candidate molecules from lung cancer cell lines using our developed glycoproteomics technologies such as lectin microarray and LC/MS-based protein analysis. On the validation studies, we found out that the selected molecules showed characteristic lectin biding profiles depending on either SCLC or NSCLC. Therefore, combination of these glyco-biomarkers could be expected to improve the diagnostic accuracy for histological classification in lung cancer compared to protein expression alone.
Estimation of Quantity of Cl-from Deicing Salts on Weathering Steel Used for Bridges
Masamichi Takebe,Makoto Ohya,Shota Ajiki,Takashi Furukawa,Ryo Adachi,Rumiko Gan-ei,Naoki Kitagawa,Junya Ota,Yasuhiko Matsuzaki,Toshihiko Aso 한국강구조학회 2008 International Journal of Steel Structures Vol.8 No.2
To estimate the contribution of Cl from deicing salt (CaCl2) on weathering steel on a bridge in southwestern Japan, therelationship among the quanties of Cl, SO42 and Ca2+ on girders is examined. The composition of the ions on girder showsseasonal variation, and the Ca2+ and Cl on the western second girder are enriched with a ratio coresponding to CaCl2 in winter,suggesting that CaCl2 2 is more 50 % of totalchlorine ion and the corosion is more enhanced on the second girder.
Takayuki Takahashi,Hikaru Matsuoka,Rieko Sakurai,Jun Akatsuka,Yusuke Kobayashi,Masaru Nakamura,Takashi Iwata,Kouji Banno,Motomichi Matsuzaki,Jun Takayama,Daisuke Aoki,Yoichiro Yamamoto,Gen Tamiya 대한부인종양학회 2022 Journal of Gynecologic Oncology Vol.33 No.5
Objective: Human papillomavirus subtypes are predictive indicators of cervical intraepithelial neoplasia (CIN) progression. While colposcopy is also an essential part of cervical cancer prevention, its accuracy and reproducibility are limited because of subjective evaluation. This study aimed to develop an artificial intelligence (AI) algorithm that can accurately detect the optimal lesion associated with prognosis using colposcopic images of CIN2 patients by utilizing objective AI diagnosis. Methods: We identified colposcopic findings associated with the prognosis of patients with CIN2. We developed a convolutional neural network that can automatically detect the rate of high-grade lesions in the uterovaginal area in 12 segments. We finally evaluated the detection accuracy of our AI algorithm compared with the scores by multiple gynecologic oncologists. Results: High-grade lesion occupancy in the uterovaginal area detected by senior colposcopists was significantly correlated with the prognosis of patients with CIN2. The detection rate for high-grade lesions in 12 segments of the uterovaginal area by the AI system was 62.1% for recall, and the overall correct response rate was 89.7%. Moreover, the percentage of high-grade lesions detected by the AI system was significantly correlated with the rate detected by multiple gynecologic senior oncologists (r=0.61). Conclusion: Our novel AI algorithm can accurately determine high-grade lesions associated with prognosis on colposcopic images, and these results provide an insight into the additional utility of colposcopy for the management of patients with CIN2.
Edible Red Seaweed Hypnea asiatica Ameliorates High-Fat Diet-Induced Metabolic Diseases in Mice
Shigeru Murakami,Chihiro Hirazawa,Toshiki Mizutani,Takuma Ohya,Rina Yoshikawa,Ning Ma,Takahiko Ikemori,Takashi Ito,Chiaki Matsuzaki 한국식품영양과학회 2023 Journal of medicinal food Vol.26 No.11
Metabolic diseases, including obesity, diabetes, and fatty liver disease, are dramatically increasing around theworld. Seaweed is low in calories and rich in many active ingredients that are necessary for maintaining good health, and isexpected to be effective for preventing metabolic diseases. The purpose of this study was to examine the effects of a traditionalJapanese edible seaweed Hypnea asiatica (H. asiatica) on obesity, using a mouse model. H. asiatica was dried andpowdered, mixed with a high-fat diet, and fed to male C57BL/6J mice for 13 weeks. On the last day of the experiment, bloodsamples were collected under anesthesia and biochemical parameters such as lipids and adipokines were measured. Liver andadipose tissue were excised, weighed, and oxidant/antioxidant parameters were measured. Some mice were perfused with afixative solution containing formalin, and tissue specimens were prepared. A glucose tolerance test was used to assess insulinresistance. The inhibition of lipase activity was evaluated in vitro. Thirteen-week supplementation with H. asiatica suppressedbody weight gain, body fat accumulation, and blood glucose levels. H. asiatica also improved fatty liver and hypercholesterolemia,and reduced the oxidant and inflammatory parameters of serum and liver. H. asiatica increased fecal triglycerideexcretion and polyphenol-rich ethanol extract of H. asiatica inhibited lipase activity in vitro. These results suggest thatpolysaccharides and polyphenols in H. asiatica may ameliorate obesity and diabetes by inhibiting intestinal fat absorption andreducing oxidative stress and inflammation. H. asiatica may be useful in preventing metabolic diseases such as obesity,diabetes, and fatty liver.