• Title/Summary/Keyword: Fukuda test

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Development and application of a vision-based displacement measurement system for structural health monitoring of civil structures

  • Lee, Jong Jae;Fukuda, Yoshio;Shinozuka, Masanobu;Cho, Soojin;Yun, Chung-Bang
    • Smart Structures and Systems
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    • v.3 no.3
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    • pp.373-384
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    • 2007
  • For structural health monitoring (SHM) of civil infrastructures, displacement is a good descriptor of the structural behavior under all the potential disturbances. However, it is not easy to measure displacement of civil infrastructures, since the conventional sensors need a reference point, and inaccessibility to the reference point is sometimes caused by the geographic conditions, such as a highway or river under a bridge, which makes installation of measuring devices time-consuming and costly, if not impossible. To resolve this issue, a visionbased real-time displacement measurement system using digital image processing techniques is developed. The effectiveness of the proposed system was verified by comparing the load carrying capacities of a steel-plate girder bridge obtained from the conventional sensor and the present system. Further, to simultaneously measure multiple points, a synchronized vision-based system is developed using master/slave system with wireless data communication. For the purpose of verification, the measured displacement by a synchronized vision-based system was compared with the data measured by conventional contact-type sensors, linear variable differential transformers (LVDT) from a laboratory test.

A Study about Correlation between Hot Flush and Pulse Wave Velocity(PWV)/Ankle-Brachial Index(ABI) in the Climacteric Women (갱년기 여성의 안면홍조와 맥파 전달 속도(PWV) 및 상완 발목 지수(ABI)의 상관성에 관한 연구)

  • Kim, Eun-Gyung;Hwang, Deok-Sang;Cho, Jung-Hoon;Jang, Jun-Bock;Lee, Jin-Moo;Lee, Chang-Hoon;Lee, Kyung-Sub
    • The Journal of Korean Obstetrics and Gynecology
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    • v.23 no.1
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    • pp.53-64
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    • 2010
  • Purpose: This study was performed to observe the correlation between Hot flush and pulse wave velocity(PWV), ankle brachial index(ABI) in the Climacteric women. Methods: We studied 63 climacteric women visiting OO hospital from 8th January 2007 to 22nd April 2009. The subjects were categorized in two groups, the hot flush group(37) and normal group(26). For the study, the subjects were selected by excluding the patients who receive treatment affect hot flush or have disease affect arterial states. We assessed PWV and ABI of two groups by Oscillometric method using VS-1000(Form PWV/ABI; Fukuda Denshi, Co., Ltd., Japan). From these results, we studied the correlation between hot flush and PWV/ABI by Wilcoxon Mann Whitney Test. Results: 1. It is shown that hot flush group was no significant correlation with normal group. There is no significant factor among R-PWV, L-PWV, R-ABI, L-ABI. However, L-ABI have shown relatively higher correlation with comparison to the other factors.(p-value<0.05) 2. R-PWV, L-PWV significantly increased in menopause group than in premenopause group though there is no relation to the hot flush. (p-value<0.01) Conclusion: Though the results showed no correlations between Hot flush and PWV/ABI in the Climacteric women, L-ABI showed relatively higher correlation with hot flush than others. R-PWV, L-PWV showed significant correlation between premenopause and menopause.

Differences in the panoramic appearance of cleft alveolus patients with or without a cleft palate

  • Takeshi Fujii;Chiaki Kuwada;Yoshitaka Kise;Motoki Fukuda;Mizuho Mori;Masako Nishiyama;Michihito Nozawa;Munetaka Naitoh;Yoshiko Ariji;Eiichiro Ariji
    • Imaging Science in Dentistry
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    • v.54 no.1
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    • pp.25-31
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    • 2024
  • Purpose: The purpose of this study was to clarify the panoramic image differences of cleft alveolus patients with or without a cleft palate, with emphases on the visibility of the line formed by the junction between the nasal septum and nasal floor(the upper line) and the appearances of the maxillary lateral incisor. Materials and Methods: Panoramic radiographs of 238 patients with cleft alveolus were analyzed for the visibility of the upper line, including clear, obscure or invisible, and the appearances of the maxillary lateral incisor, regarding congenital absence, incomplete growth, delayed eruption and medial inclination. Differences in the distribution ratio of these visibility and appearances were verified between the patients with and without a cleft palate using the chi-square test. Results: There was a significant difference in the visibility distribution of the upper line between the patients with and without a cleft palate (p<0.05). In most of the patients with a cleft palate, the upper line was not observed. In the unilateral cleft alveolus patients, the medial inclination of the maxillary lateral incisor was more frequently observed in patients with a cleft palate than in patients without a cleft palate. Conclusion: Two differences were identified in panoramic appearances. The first was the disappearance (invisible appearance) of the upper line in patients with a cleft palate, and the second was a change in the medial inclination on the affected side maxillary lateral incisor in unilateral cleft alveolus patients with a cleft palate.

Deep learning system for distinguishing between nasopalatine duct cysts and radicular cysts arising in the midline region of the anterior maxilla on panoramic radiographs

  • Yoshitaka Kise;Chiaki Kuwada;Mizuho Mori;Motoki Fukuda;Yoshiko Ariji;Eiichiro Ariji
    • Imaging Science in Dentistry
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    • v.54 no.1
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    • pp.33-41
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    • 2024
  • Purpose: The aims of this study were to create a deep learning model to distinguish between nasopalatine duct cysts (NDCs), radicular cysts, and no-lesions (normal) in the midline region of the anterior maxilla on panoramic radiographs and to compare its performance with that of dental residents. Materials and Methods: One hundred patients with a confirmed diagnosis of NDC (53 men, 47 women; average age, 44.6±16.5 years), 100 with radicular cysts (49 men, 51 women; average age, 47.5±16.4 years), and 100 with normal groups (56 men, 44 women; average age, 34.4±14.6 years) were enrolled in this study. Cases were randomly assigned to the training datasets (80%) and the test dataset (20%). Then, 20% of the training data were randomly assigned as validation data. A learning model was created using a customized DetectNet built in Digits version 5.0 (NVIDIA, Santa Clara, USA). The performance of the deep learning system was assessed and compared with that of two dental residents. Results: The performance of the deep learning system was superior to that of the dental residents except for the recall of radicular cysts. The areas under the curve (AUCs) for NDCs and radicular cysts in the deep learning system were significantly higher than those of the dental residents. The results for the dental residents revealed a significant difference in AUC between NDCs and normal groups. Conclusion: This study showed superior performance in detecting NDCs and radicular cysts and in distinguishing between these lesions and normal groups.