• Environmental Engineering Research
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• v.15 no.1
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• pp.9-14
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• 2010

The objective of this study was to assess the variation in the concentration of assimilable organic carbon (AOC) in a drinking water resource, and investigate the characteristics of AOC derived from algae. The seasonal change in AOC at the Kamafusa dam corresponded to changes in the algal cell number. In order to understand the relationship between AOC and algae in a water resource and water purification plant, two kinds of laboratory experiment were performed. The algal culture experiment showed that extracellular organic matter (EOM) that was released during the growth of Phormidium tenue with M-11 medium led to significant increases in the AOC concentration, but no significant variation in the AOC concentration was observed with CT medium containing a high dissolved organic carbon concentration. The chlorination experiment showed that the AOC included in EOM was not easily removed by chlorination, although the AOC included in intercellular organic matter released from the algal cells by chlorination was removed under conditions where residual chlorine was detected.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.5 no.1
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• pp.45-59
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• 1992

I have been studied the tinnitus. The results are summarized as follows. 1. The etiologies of tinnitus is classified the Zang fa endogenous factors of the Jong-Maek-Hae and exogenous factors of the Oun-Gi, in the Nei Ching. 2. In the endogenous factors the etiologies of the Zang fa is mostly hased deficiency of the kidney, which is concerned with Sim-Hae Gan-Darn-Hae and Bi-Wae-Hae, the etiologies of the phlegm fire is fire is divided into Sin-Hae, Om-Ju-Hu-Mi and No-Gi-Oaek-Sang. 3. The etiologies of the Jong-Maek-Hae is divided into deficiency of the stomach xu of both gi am blood and xu of the kidney. 4. In Nei ching,the etiologies of Oun-Gi divided into Gul-Eum-Pung-Mok and So-Yang-Sang-Hwa of the exgeous factors is regarded to wind and fire as following generations is regrded to wind the endogenous factors caused Sin-Hae Gi-Hae. 5. In the Nei ching, Since the O-Mi-Bo-Sa-Bub is uttered main treated of tinnitus is friquently used Bo-Sin Young-Sim-Sun-Gi and Choung-Gan-Sul- You1 as Zang-Fu Choung-Dam-Gang-Hwa as the Phlegm fire Bo-bi-Sin as the Jong Maek Hae and Gye-Pung-San-Hwa as the Oun-Gi.

• Annual Conference of KIPS
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• 2013.05a
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• pp.363-366
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• 2013

오늘날 도난방지, 화재, 범죄예방 등의 안전한 생활을 위한 감시 시스템의 중요성이 강조되고 있다. 이에 영상보안 시장 규모가 급속히 증가하고 있으며 관련 기술도 인공지능을 겸비한 형태로 발전하고 있다. 우리나라도 영상보안 시스템의 수요가 2002년부터 기업과 정부를 중심으로 증가하고 있으며 급속한 성장을 거듭하는 추세는 2012년 이후에도 지속될 전망이다. 특히, 최근에는 적은 대수의 카메라로 보다 넓은 지역을 관찰하고 특정 부분을 확대 관찰할 수 있는 PTZ 카메라의 활용이 증가하고 있다. PTZ 카메라는 카메라에 구동 장치를 추가하여 좌우(Pan), 상하(Tilt)로 카메라의 시점을 이동시킬 수 있으며 특정 부분을 확대하여 관찰할 수 있는 줌(Zoom) 기능을 가진 카메라를 말한다. 이와 같은 장점으로 지능형 PTZ 카메라는 점차 대중화 되고 있다. 하지만, 현재 시중에 판매되는 많은 종류의 PTZ 카메라를 이용한 영상보안 감시는 실제로 사용자들이 동작하고 사용하는데 있어서 많은 문제점을 가지고 있다. 이에 본 논문에서는 카메라 별로 제공하는 상이하고 왜곡된 좌표 값에서 새롭게 가공한 직관적 절대좌표 값을 추출하여 정확한 목표지점으로의 위치이동과 간편한 카메라 조작을 위한 시스템을 설계하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.486-489
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• 2021

Recently, the demand for the use of personal mobility vehicles, such as an electric kickboard, is increasing explosively because of its high portability and usability. However, the number of traffic accidents caused by personal mobility vehicles has also increased rapidly in recent years. To address the issues regarding the driver's safety, we propose a novel approach that can monitor context information around personal mobility vehicles using deep learning-based object detection and smartphone captured videos. In the proposed framework, a smartphone is attached to a personal mobility device and a front or rear view is recorded to detect an approaching object that may affect the driver's safety. Through the detection results using YOLOv5 model, we report the preliminary results and validated the feasibility of the proposed approach.

• Geomechanics and Engineering
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• v.39 no.2
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• pp.181-195
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• 2024

Existing piles, especially in urban areas, are at risk of being cut by new tunnel construction, potentially affecting their serviceability. This study examined the behaviour of piles under various reinforcement conditions subject to tip cutting resulting from tunnel excavation. For this, the construction of a tunnel using a shield tunnel boring machine adjacent to existing single and group piles was simulated. A three-dimensional finite element analysis was used to perform the simulations. Certain piles in the group were simulated by cutting the pile tips to mimic the effect of tunnel excavation, and the behaviour of the piles was studied by considering the effect of pile cap and ground reinforcements. A numerical analysis was used to examine the ground settlement caused by tunnel excavation, pile head settlement, axial pile force, and shear stress occurring at the pile-ground interface. The results revealed that for all piles with pile tips supported by weathered rock, the shear stress distributions demonstrated similar trends, whereas for piles with cut tips, tensile or compressive forces occurred simultaneously according to the relative position by pile depth. Additionally, when the pile tip was supported by weathered rock, approximately 70% of the support was due to shaft friction and the remaining 30% was provided by the pile tip. For piles without reinforcement, the final settlement was approximately 70% greater than that of piles with grouting reinforcement. These results indicate that pile and ground settlements are substantially influenced by pile tip cutting and reinforcement conditions.

• Journal of Korea Water Resources Association
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• v.57 no.7
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• pp.437-449
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• 2024

Rainfall-runoff prediction studies using deep learning while considering catchment attributes have been gaining attention. In this study, we selected two models: the Transformer model, which is suitable for large-scale data training through the self-attention mechanism, and the LSTM-based multi-state-vector sequence-to-sequence (LSTM-MSV-S2S) model with an encoder-decoder structure. These models were constructed to incorporate catchment attributes and predict the inflow of 10 multi-purpose dam watersheds in South Korea. The experimental design consisted of three training methods: Single-basin Training (ST), Pretraining (PT), and Pretraining-Finetuning (PT-FT). The input data for the models included 10 selected watershed attributes along with meteorological data. The inflow prediction performance was compared based on the training methods. The results showed that the Transformer model outperformed the LSTM-MSV-S2S model when using the PT and PT-FT methods, with the PT-FT method yielding the highest performance. The LSTM-MSV-S2S model showed better performance than the Transformer when using the ST method; however, it showed lower performance when using the PT and PT-FT methods. Additionally, the embedding layer activation vectors and raw catchment attributes were used to cluster watersheds and analyze whether the models learned the similarities between them. The Transformer model demonstrated improved performance among watersheds with similar activation vectors, proving that utilizing information from other pre-trained watersheds enhances the prediction performance. This study compared the suitable models and training methods for each multi-purpose dam and highlighted the necessity of constructing deep learning models using PT and PT-FT methods for domestic watersheds. Furthermore, the results confirmed that the Transformer model outperforms the LSTM-MSV-S2S model when applying PT and PT-FT methods.

• IMMUNE NETWORK
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• v.10 no.2
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• pp.64-74
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• 2010

Background: The present study was undertaken to examine the immunological effects of pentabrominated diphenyl ether (penta-BDE) and decabrominated diphenyl ether (deca-BDE) on the immune system of the dams and the developmental immune system of the offsprings. Methods: In this study, mated female C57BL/6J mice were orally administered penta-BDE, deca-BDE or corn oil for 5 weeks, from gestational day 6 to lactational day 21. Results: The body weight of PND21 exposed to penta-BDE was significantly decreased relative to control mice, but that of post-natal day 63 (PND63) were recovered. Orally dosed dams with penta-BDE had significantly smaller absolute and relative spleen masses than control mice. Absolute and relative spleen and thymus masses of PND21 exposed to penta-BDE were significantly decreased over control. The exposure of dams and PND21 with penta-BDE reduced the number of splenocytes and thymocytes. As results of hematologic analysis, percentage WBC and percentage neutrophils increased in dams with deca-BDE. Splenic T cell proliferation in dams and PND21 exposed to penta-BDE was increased, and there were no significant difference in splenic B cell proliferation in all treatment groups. As results of flow cytometric analysis of splenocyte, percentage total T cell, Th cell and Tc cell in PND21 exposed to penta-BDE was slightly increased, and percentage macrophage in dams and PND21 exposed to deca-BDE was decreased. The ELISA results of antibody production show no significant difference in all treatment groups relative to controls. Conclusion: These results imply that PBDEs given to the dam were transferred to the offspring during gestation and lactation, and PBDEs transferred from the dam affect immune system of offspring.

• Journal of Korea Water Resources Association
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• v.45 no.12
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• pp.1321-1330
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• 2012

In this study, the daily inflow at the basin of Chungju dam is predicted using wavelet-artificial neural network for nonlinear model. Time series generally consists of a linear combination of trend, periodicity and stochastic component. However, when framing time series model through these data, trend and periodicity component have to be removed. Wavelet transform which is denoising technique is applied to remove nonlinear dynamic noise such as trend and periodicity included in hydrometeorological data and simple noise that arises in the measurement process. The wavelet-artificial neural network (WANN) using data applied wavelet transform as input variable and the artificial neural network (ANN) using only raw data are compared. As a results, coefficient of determination and the slope through linear regression show that WANN is higher than ANN by 0.031 and 0.0115 respectively. And RMSE and RRMSE of WANN are smaller than those of ANN by 37.388 and 0.099 respectively. Therefore, WANN model applied in this study shows more accurate results than ANN and application of denoising technique through wavelet transforms is expected that more accurate predictions than the use of raw data with noise.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.3
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• pp.511-529
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• 2001

Purpose : To analyze organization variables related to nursing between the doctors' strike and normal periods. Methods : The sample consisted of 1,220(600 for doctors' strike and 620 for normal periods) nurses working in 5 hospitals. Six instruments were used for data collection including Job Activity Scale(JAS; Laschinger, 1994), Organization Relationship Scale(ORS; Laschinger, 1994), Interpersonal Support Scale(developed by Firth et al., 1986 and revised by Ahn(2000), Self-efficacy Scale(Riggs & Knight, 1994),Job Satisfaction Scale(Slavitts et al., 1978), and Organizational Commitment Questionnaire(OCQ; Mowday et al., 1979). Results : There were significant differences among variables(i.e., formal power, interpersonal support, self-efficacy and organizational commitment)between doctors' strike and normal periods. The formal power was high during the normal period, however interpersonal support, self-efficacy and organizational commitment were high during the doctors' strike. Conclusion : Interpersonal support, self-efficacy and job satisfaction were change by working conditions, but organizational commitment was not changed by working conditions.

• The Journal of Internal Korean Medicine
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• v.37 no.5
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• pp.855-862
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• 2016

The recent increased interest in hygiene has led to the use of a variety of detergents everyday life. Accordingly, accidents occur frequently, but proper precautions or treatments have not yet been established for these occasions. The patient in this case had accidentally ingested basic detergent, after mistaking it for a drink. This had caused acid reflux swallowing distress. Treatment in a western medical hospital had resulted in improvement in inflammation, as observed with an esophageal endoscopy test, but the patient still found it almost impossible to drink or eat. Following treatment with herbal medicine and acupuncture, the patient’s food intake increased and the pain and dysphagia were diminished. We cannot generalize based only on this one case study, so further studies are needed.