• 대한예방의학회:학술대회논문집
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• 대한예방의학회 1997년도 추계 학술대회 연제집
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• pp.270-271
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• 1997

• Journal of Pharmaceutical Investigation
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• 제5권3호
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• pp.50-57
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• 1975

Bismuthsubgallate is a compound of indefinite composition containing bismuth and gallic acid. Because its structure was indefinite, many papers have been reported for it. But these are different one another and the relationship between the physical properties, structure and manufacturing condition has not been yet reported. In this experiment, bismuthsubgallate was prepared from bismuthsubgallate and gallic acid in an acetic medium at $65^{\circ}$, and dried at four different temperatures $30^{\circ}\;65^{\circ}\;105^{\circ}\;and\;155^{\circ}$. And some of the other relative bismuth organic compounds were prepared. To each product. elemental analysis, IR spectra and DTA, TGA curves were determined. These results revealed the followings; l. The structure of bismuthsubgallate is comfirmed as a complex form of gallomonohydroxo-bismutic acid monohydrate and its yellow colour dependent upon complex anion in the structure. 2. According to the drying temperature, the hydrate content of bismuthsubgallate is quite different: dihydrate at room temperature, mono-hydrate at. $65^{\circ}$, anhydrous at $105^{\circ}$ and decomposed partial1y oganic substance of the structure above $155^{\circ}$.

• 한국공간구조학회:학술대회논문집
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• 한국공간구조학회 2008년도 춘계 학술발표회 논문집
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• pp.189-194
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• 2008

본 논문은 광섬유 브래그 격자 센서를 이용한 텐서그리티 구조의 실시간 모니터링을 설명하였다. 텐서그리티 구조는 케이블의 장력만으로 평형을 유지하는 구조시스템이다. 힘의 평형을 이룰 때 케이블 각 부분에 장력은 일정하다 할 수 없다. 그러므로 각 부분의 장력의 계측은 매우 중요하다. 각 부분의 케이블의 장력을 계측하는데 광섬유 브래그 격자 센서가 적합한지를 증명하기 위하여 텐서그리티 시험체를 제작하였다. 광섬유 브래그 격자 센서를 이용하여 장력을 모니터링 하는 시험을 실시하였고, 시험의 결과로 광섬유 브래그 격자 센서는 외력 작용 시에 정확한 계측을 보여주었다. 그러므로 텐서그리티 구조의 케이블에 장력을 계측할 수 있고 실시간 모니터링이 가능하다.

• 한국공간구조학회논문집
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• 제7권3호
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• pp.49-55
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• 2007

본 논문은 광섬유 브래그 격자 센서를 이용한 대공간 구조물의 실시간 모니터링을 설명하였고, 외부 외력 작용시에 대공간 구조물의 요소인 막이나 케이블의 변형을 계측하는데 광섬유 브래그 격자 센서가 매우 적합하다는 점을 검증하고 있다. 이와 함께 대공간 구조물에 광섬유 브래그 격자 센서를 이용하여 변형을 모니터링하는 실험을 실시하였다. 장스팬의 대공간 구조물을 모니터링하기 위하여 많은 요소를 계측할 수 있는 장비가 필요하다. 실험의 결과로 광섬유 브래그 격자 센서는 외력 작용시에 정확한 계측을 보여주었다. 그러므로 대공간 구조물의 변형율을 계산할 수 있고 실시간 모니터링이 가능하다.

• Computers and Concrete
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• 제8권3호
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• pp.293-309
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• 2011

A long-term structural health monitoring (SHM) system comprising over 700 sensors of sixteen types has been implemented on the Guangzhou Television and Sightseeing Tower (GTST) of 610 m high for real-time monitoring of the structure at both construction and service stages. As part of this sophisticated SHM system, 48 temperature sensors have been deployed at 12 cross-sections of the reinforced concrete inner structure of the GTST to provide on-line monitoring via a wireless data transmission system. In this paper, the differential temperature profiles in the reinforced concrete inner structure of the GTST, which are mainly caused by solar radiation, are recognized from the monitoring data with the purpose of understanding the temperature-induced structural internal forces and deformations. After a careful examination of the pre-classified temperature measurement data obtained under sunny days and non-sunny days, common characteristic of the daily temperature variation is observed from the data acquired in sunny days. Making use of 60-day temperature measurement data obtained in sunny days, statistical patterns of the daily rising temperature and daily descending temperature are synthesized, and temperature distribution models of the reinforced concrete inner structure of the GTST are formulated using linear regression analysis. The developed monitoring-based temperature distribution models will serve as a reliable input for numerical prediction of the temperature-induced deformations and provide a robust basis to facilitate the design and construction of similar structures in consideration of thermal effects.

• 한국인구학
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• 제15권1호
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• pp.62-72
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• 1992

• Smart Structures and Systems
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• 제15권2호
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• pp.335-353
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• 2015

Previous long-term measurements of the Uldolmok tidal current power plant showed that the structure's natural frequencies fluctuate with a constant cycle-i.e., twice a day with changes in tidal height and tidal current velocity. This study aims to improve structural health monitoring (SHM) techniques for offshore structures under a harsh tidal environment like the Uldolmok Strait. In this study, lab-scale experiments on a simplified offshore structure as a lab-scale test structure were conducted in a circulating water channel to thoroughly investigate the causes of fluctuation of the natural frequencies and to validate the displacement estimation method using multimetric data fusion. To this end, the numerical study was additionally carried out on the simplified offshore structure with damage scenarios, and the corresponding change in the natural frequency was analyzed to support the experimental results. In conclusion, (1) the damage that occurred at the foundation resulted in a more significant change in natural frequencies compared with the effect of added mass; moreover, the structural system became nonlinear when the damage was severe; (2) the proposed damage index was able to indicate an approximate level of damage and the nonlinearity of the lab-scale test structure; (3) displacement estimation using data fusion was valid compared with the reference displacement using the vision-based method.

• 여성건강간호학회지
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• 제13권2호
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• pp.77-87
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• 2007

Purpose: This study was examined the quality of the sexual life among married women in terms of the factor structure of Sexual Quality of Life(SQOL) and evaluated the predictive value of 11 variables for SQOL. Method: Two hundred and ninety-three married women completed the Korean version SQOL scale with information on age, education, length of marriage, family income, health, sexual knowledge, coital frequency, harmony with family members, levels of affection, and general and sexual communication. Data were analysed with principal components and regression analyses. Result: The SQOL scale had two clearly defined factors, Negative Quality of Sexual Life and Positive Quality of Sexual Life, on which all scale items were significantly loaded, accounting for 54.3% of the total variance. Independent regression analysis showed all variables except education to be significant predictors of SQOL with interpersonal variables (general and sexual communication, affection and harmony with family members) being the most powerful predictors. However when the 11 variables were combined together in stepwise analysis, only 6 variables (general communication, age, affection, coital frequency, sexual knowledge and health) were significant, accounting for 39% of the total variance. Conclusion: The Korean version SQOL scale is a good measure to tackle SQOL in married women. To enhance SQOL, strengthening interpersonal interaction focusing on general/sexual communication, affection and harmony with family members seems to be more important than sexual activities and personal characteristics.

• Safety and Health at Work
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• 제9권3호
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• pp.334-338
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• 2018

Background: With global changes in the current state of work and employment, the role of health-adverse psychosocial work environments has received increasing attention in developed as well as in rapidly developing countries. Thus, there is a need to apply valid measurement tools for monitoring and preventive purposes. This study aims to examine the factorial structure and psychometric properties of the Persian version of the effort-reward imbalance (ERI) questionnaire, assessing one of the internationally leading concepts of stressful work. Methods: This descriptive cross-sectional study of a random sample of 202 white collar employees in an industrial company in Iran analyzes the ERI scales by exploratory and confirmatory factor analysis. Moreover, aspects of construct and criterion validity are tested. To this end, correlations of ERI scales with subscales of organizational injustice, a complementary work stress model, and also the correlations of ERI scales with a questionnaire assessing psychosomatic symptoms are performed. Results: Internal consistency of the three ERI scales was satisfactoryy (Cronbach ${\alpha}$ effort: 0.76, reward: 0.79, overcommitment: 0.75). Fit indices of confirmatory factor analsis pointed to an adequate representation of the theoretical construct (e.g., adjusted goodness of fit index (AGFI): 0.73, goodness of fit index (GFI): 0.78). Negative correlations with subscales of organizational injustice supported the notion of construct validity of the ERI scales, and positive correlations of ERI scales with psychosomatic symptoms indicated preliminary criterion validity. Conclusion: The Persian version of the ERI questionnaire has acceptable psychometric properties and can be used as a valid instrument in research on this topic.

• Steel and Composite Structures
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• 제29권6호
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• pp.703-716
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• 2018

Rapid detection of damages in civil engineering structures, in order to assess their possible disorders and as a result produce competent decision making, are crucial to ensure their health and ultimately enhance the level of public safety. In traditional intelligent health monitoring methods, the features are manually extracted depending on prior knowledge and diagnostic expertise. Inspired by the idea of unsupervised feature learning that uses artificial intelligence techniques to learn features from raw data, a two-stage learning method is proposed here for intelligent health monitoring of civil engineering structures. In the first stage, $Nystr{\ddot{o}}m$ method is used for automatic feature extraction from structural vibration signals. In the second stage, Moving Kernel Principal Component Analysis (MKPCA) is employed to classify the health conditions based on the extracted features. In this paper, KPCA has been implemented in a new form as Moving KPCA for effectively segmenting large data and for determining the changes, as data are continuously collected. Numerical results revealed that the proposed health monitoring system has a satisfactory performance for detecting the damage scenarios of a three-story frame aluminum structure. Furthermore, the enhanced version of KPCA methods exhibited a significant improvement in sensitivity, accuracy, and effectiveness over conventional methods.