• Journal of the Korean earth science society
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• 제40권2호
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• pp.177-187
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• 2019

Several volcanic activities have continued in Mt. Baekdu since the Millennium eruption, and these phenomena have increased the need for volcanic activity surveillance. Various geophysical approaches are needed to obtain the depth and size of magma chamber that lie several kilometers below the surface. We examined the applicability of direct-current resistivity survey in this study. In order to explore the deep magma chamber of Mt. Baekdu, which has a spatial limitation due to the borderline, a large-scale survey with a length of tens of kilometers should be conducted. This type of survey requires a distributed measurement system and optimized exploration designs. Therefore, we propose survey designs taking advantage of our developed distributed acquisition system and analyze the applicability using numerical simulation. We confirmed that our designs that use single survey line with offline transmitting points show comparable results to the conventional 3D survey. It is expected that our research result can contribute to the deep geophysical exploration in Mt. Baekdu.

• Korean small business review
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• 제43권3호
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• pp.75-90
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• 2021

Organization and management scholars have researched social enterprises as hybrid organizations. However, research on the organizational uniqueness of social enterprises as hybrids is limited, especially comparing their organizational characteristics with other traditional types of organizations. Thus, this study attempted to compare social enterprises with traditional for-profit and not-for-profit organizations in the aspect of their organizational hybridity by using the data of the Social Value Survey. The results showed that the orientation of social enterprises in pursuing dual values is weaker than the other two types of organizations. Meanwhile, the results revealed that the extent to which an organization operates for realizing dual values is strongest in social enterprises among the three types of organizations. These findings add to the understanding of social enterprises' organizational hybridity in organization and management studies.

• Korean Journal of Culture and Social Issue
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• 제23권2호
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• pp.271-293
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• 2017

Despite the benefits of social activity on happiness, humans still spend over one third of their time by themselves-sleeping. The effect of sleep quality on happiness as well as its underlying mechanism are examined in this study. Based on previous findings on the role of sleep in consolidation of memories, it was hypothesized that a good sleep would promote happiness by increasing the likelihood of recalling everyday episodes in a positively biased manner. In Study 1, regardless of one's demographic variables, social variables, and economic status, sleep quality was positively related to life satisfaction. To examine the causal direction of this effect, participants were asked to complete a survey twice with different time intervals. Controlling for baseline variables, sleep quality during previous two weeks (Study 2) or previous day (Study 3) significantly predicted the participants' life satisfaction. Moreover, this relationship was partially mediated by a positive memory bias (Study 3). This study opens interesting questions on a relatively unexamined nonsocial predictor of happiness, sleep quality.

• KSCE Journal of Civil and Environmental Engineering Research
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• 제28권5A호
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• pp.673-683
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• 2008

This study improved the existing method of using the longitudinal strain and concept of influence line to develop Bridge Weigh-in-Motion system without axle detector using the dynamic strain of the bridge girders and concrete slab. This paper first describes the considered algorithms of extracting passing vehicle information from the dynamic strain signal measured at the bridge slab, girders, and cross beams. Two different analysis methods of 1) influence line method, and 2) neural network method are considered, and parameter study of measurement locations is also performed. Then the procedures and the results of field tests are described. The field tests are performed to acquire training sets and test sets for neural networks, and also to verify and compare performances of the considered algorithms. Finally, comparison between the results of different algorithms and discussions are followed. For a PSC I-girder bridge, vehicle weight can be calculated within a reasonable error range using the dynamic strain gauge installed on the girders. The passing lane and passing speed of the vehicle can be accurately estimated using the strain signal from the concrete slab. The passing speed and peak duration were added to the input variables to reflect the influence of the dynamic interaction between the bridge and vehicles, and impact of the distance between axles, respectively; thus improving the accuracy of the weight calculation.

• Journal of Oral Medicine and Pain
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• 제34권1호
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• pp.39-48
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• 2009

Recently there is much interest in the antibacterial activity of nano-sized silver particle (nanosilver) since silver is known to be safe and effective as disinfectant for a long time. Oral malodor is considered to originate in the oral cavity primarily as a result of production of malodorous compounds by oral bacteria. Major compounds responsible for oral malodor are volatile sulfur compounds, which is thought to be generated by the G(-) anaerobic bacteria found normally in the oral cavity, especially on the dorsum of the tongue. The purposes of this study were to investigate the effect of nanosilver on growth of oral malodor generating microorganisms, including Fusobacterium nucleatum, Prevotella melaninogenica, Klebsiella pneumonia, and to determine the optimal culture condition of them. The results were as follows: 1. The optimal culture condition for P. melaninogenica was vacuum culture using desiccator after evacuation of air by vacuum pump in chopped beef meat media. 2. The growth of K. pneumonia was temporarily inhibited by nanosilver (5 ppm and 10 ppm). 3. The morphological alteration and cell damage caused by nanosilver were observed in K. pneumonia.

• Journal of the Korean Recycled Construction Resources Institute
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• 제9권3호
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• pp.303-310
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• 2021

Cracks in bridges are important factors that indicate the condition of bridges and should be monitored periodically. However, a visual inspection conducted by a human expert has problems in cost, time, and reliability. Therefore, in recent years, researches to apply a deep learning model are started to be conducted. Deep learning requires sufficient data on the situations to be predicted, but bridge crack data is relatively difficult to obtain. In particular, it is difficult to collect a large amount of crack data in a specific situation because the shape of bridge cracks may vary depending on the bridge's design, location, and construction method. This study developed a crack detection model that generates and trains insufficient crack data through a Generative Adversarial Network. GAN successfully generated data statistically similar to the given crack data, and accordingly, crack detection was possible with about 3% higher accuracy when using the generated image than when the generated image was not used. This approach is expected to effectively improve the performance of the detection model as it is applied when crack detection on bridges is required, though there is not enough data, also when there is relatively little or much data f or one class.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.41-43
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• 2022

In order to prevent and block infectious diseases caused by the recent COVID-19 pandemic, non-contact biometric information acquisition and analysis technology is attracting attention. The invasive and attached biometric information acquisition method accurately has the advantage of measuring biometric information, but has a risk of increasing contagious diseases due to the close contact. To solve these problems, the non-contact method of extracting biometric information such as human fingerprints, faces, iris, veins, voice, and signatures with automated devices is increasing in various industries as data processing speed increases and recognition accuracy increases. However, although the accuracy of the non-contact biometric data acquisition technology is improved, the non-contact method is greatly influenced by the surrounding environment of the object to be measured, which is resulting in distortion of measurement information and poor accuracy. In this paper, we propose a context-based bio-signal modeling technique for the interpretation of personalized information (image, signal, etc.) for bio-information analysis. Context-based biometric information modeling techniques present a model that considers contextual and user information in biometric information measurement in order to improve performance. The proposed model analyzes signal information based on the feature probability distribution through context-based signal analysis that can maximize the predicted value probability.

• Analytical Science and Technology
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• 제20권1호
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• pp.25-32
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• 2007

The measurement methods for total nitrogen in wastewater containing a high concentration of nitrogen were evaluated. (1) The UV spectrophotometry, (2) reduction-distillation Kjeldahl, (3) total Kjeldahl nitrogen, and (4) ion chromatography methods were applied. The experimental procedure of the UV spectrophotometric method was simple, but it produced large errors deriving from the dilution of samples and calibration standards. While, the reduction-distillation Kjeldahl method didn't need dilution, but the amount of Devarda's alloy and NaOH lead to large errors up to 50 mg/L. The levels of total nitrogen measured by each method were as follows: reduction-distillation Kjeldahl ($568.6{\pm}38.7mg/L$) > UV spectrophotometry ($527.3{\pm}9.6mg/L$) > total Kjeldahl nitrogen method ($494.7{\pm}21.4mg/L$) > ion chromatography method ($417.9{\pm}7.3mg/L$). Therefore, the reduction-distillation Kjeldahl method is preferred for wastewater with the high concentration of nitrogen. Optimal conditions for each experimental procedure, however, are needed to be confirmed, and the Standard Operation Procedure (SOP) for total nitrogen is required for reliable measurements.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• 제12권1호
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• pp.24-31
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• 2007

Global fates of polychlorinated biphenyl(PCB) were investigated with a fugacity based multimedia transport and fate model, Globe-POP(persistent organic pollutant). The accumulation of PCB was directly affected by the emission patterns of PCB into the atmosphere and surface areas of environmental compartments. Partition coefficients and reaction rates also influenced on the accumulation patterns of PCB. The emission patterns of PCB in 10 climate zones were consistent for the past 70 years, while the contribution of PCB in high-latitude zones to the globe has increased by cold condensation. Considering the amounts of emission and accumulation of PCB, the North temperature zone is regarded as an important source and sink of PCB. Meanwhile, in spite of no significant sources, POPs accumulate in Antarctic environments mainly due to extremely low temperature. Finally we suggested that a global water balance accounting for snow/ice should be incorporated into multimedia environmental models for high-latitude zones and polar regions with the seasonal snow pack and/or permanent ice caps. The modified model will be useful to evaluate the influence of climate change on the fate of POPs.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2021년도 학술발표회
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• pp.73-73
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• 2021

가뭄의 계절적 예측성을 개선하기 위해서는 대기-지면-해양의 상호 작용이 현실적으로 모의할 수 있는 지구 기후 예보 모델의 개선이 필수적이다. 제한적인 기후 예보 모델의 예측성으로 인하여 다중 기후 모델들의 다중 앙상블 계절 예보 시스템이 제안되었다. 2008년에 제안된 북미 다중 모델 다중 앙상블 시스템(North American Multimodel Multiensemble System; NMME)은 다양한 모델 개발팀의 참여로 현재까지 운영되면서 계절적 예측성 연구에 큰 이바지를 하였다. 본 연구에서는 NMME 프로젝트에 참여하는 기후 예보 모델들의 북방 여름철 근지표면 온도과 강우량의 예측성을 진단하고 이들의 상관 관계의 강도를 관측데이터와 비교 분석하였다. 대부분의 NMME 모델들에서는 관측데이터에서 보다 강한 음의 상관 관계를 보였다. 이런 근지표면 온도와 강우량의 강한 상관 관계로 우수한 근지 표면 온도 예보는 각각의 해마다 그 역할이 다른 것을 발견되었다. 예를 들어 가문 여름에는 우수한 근지표면 온도 예보가 강우량 예보에 도움이 되고 강우량이 많은 여름에는 우수한 근지표면 온도 예보는 오히려 강우량 예측성을 제한하게 된다. 따라서 기존의 기후 예보 모델들에서 근지표면 온도와 강우량의 상관관계를 사실적으로 나타낼 수 있도록 모델 개선이 요구된다. 마지막으로 관측데이터와 기후 모델데이터에서 태평양과 대서양의 해수면 온도와 미국의 북방 여름철 날씨의 관계를 비교하였다. 근지표면 온도과 강우량에 대한 제한적 예측성에 비해, 대부분의 NMME 기후 예보 모델들에서 해수면 온도의 예측기술은 우수함을 발견하였고 몇몇 모델들에서는 미국의 북방 여름철 기후에 영향력을 주는 대서양과 태평양의 지역까지 잘 모사하는 것을 발견하였다. 따라서 본 연구는 보다 우수한 기후 예보 기술을 위해 앙상블 평균 예보값만이 아닌 NMME의 계절적 예보를 선택적인 사용이 필요함을 제안하였고 앞으로 북미 대륙 뿐만이 아니라 유럽-아시아의 계절적 이상 기후 예측성에 대한 연구 필요성을 강조하였다.