• Transactions of the Korean Society of Mechanical Engineers B
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• v.32 no.9
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• pp.712-719
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• 2008

Light Oil Flow Standard System(LOFSS), as a national oil flow standard system, in Korea Research Institute of Standards and Science(KRISS) was developed for oil flowmeter calibration, and the expanded uncertainty of flow quantity determination was estimated within 0.04 %. In order to improve the reliability of the LOFSS measurement, a proficiency test was carried out in the flow range of 20 and $240\;m^3/h$ (Reynolds number $20,000{\sim}900,000$). A turbine flowmeter was used as a transfer package in round robin test. The water flow standard system of KRISS, the pipe prover of the national calibration and test organization and the master meter calibrator of the turbine flowmeter supplier, which used the different working fluid respectively, were compared with the turbine flowmeter measurement. The maximum difference of measurement was 0.15 % between the LOFSS and the pipe prover. The En numbers of the each system measurement were evaluated at the same Reynolds number. It was found that the En numbers were less than 1 in the comparison, which means the procedures of the uncertainty estimation of the each calibrators were reasonable and reliable.

• Journal of Korean Clinical Nursing Research
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• v.26 no.1
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• pp.10-25
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• 2020

Purpose: The purpose of this study was to update the previously developed nursing practice guideline for enteral nutrition (EN). Methods: The guideline update was done in 22 steps using standardized methodology for nursing practice guidelines. Results: The updated EN guideline consisted of 16 domains and 228 recommendations. The domains and number of recommendations in each domain were for IDSA (Infectious Diseases Society of America): 8 on general instruction, 9 on general instruction for special nutrition, 9 on general instruction for EN, 3 on assessment of EN, 10 on access to EN, 18 on EN device insertion, 16 on selection and preparation of nutritional supplements, 46 on administration and stopping EN, 22 on maintenance and management of EN, 9 on monitoring EN, 16 on prevention and management of complications of EN, 18 on medication administration, 20 on EN in various situations, 20 on prevention of errors, 1 on nursing education, and 3 on nursing documentation. For the levels of evidence, there were 9.7% for level I, 13.1% for level II, 62.5% for level III and 1.1% for GRADE (Grading of Recommendations Assessment, Development and Evaluation): 3.3% for low, 0.8% for moderate, 9.3% for very low. A total of 133 recommendations were newly developed and 10 previous recommendations were modified. Conclusion: This updated EN nursing practice guideline can be used to enhance evidence-based practice in fundamentals of nursing practice and it should be disseminated to nurses nationwide in order to improve the efficiency of EN practice.

• Ocean and Polar Research
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• v.30 no.2
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• pp.129-140
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• 2008

As a preliminary effort to establish a data assimilative ocean forecasting system, we reviewed the theory of the Ensemble Kamlan Filter (EnKF) and developed practical techniques to apply the EnKF algorithm in a real ocean circulation modeling system. To verify the performance of the developed EnKF algorithm, a wind-driven double gyre was established in a rectangular ocean using the Regional Ocean Modeling System (ROMS) and the EnKF algorithm was implemented. In the ideal ocean, sea surface temperature and sea surface height were assimilated. The results showed that the multivariate background error covariance is useful in the EnKF system. We also tested the sensitivity of the EnKF algorithm to the localization and inflation of the background error covariance and the number of ensemble members. In the sensitivity tests, the ensemble spread as well as the root-mean square (RMS) error of the ensemble mean was assessed. The EnKF produces the optimal solution as the ensemble spread approaches the RMS error of the ensemble mean because the ensembles are well distributed so that they may include the true state. The localization and inflation of the background error covariance increased the ensemble spread while building up well-distributed ensembles. Without the localization of the background error covariance, the ensemble spread tended to decrease continuously over time. In addition, the ensemble spread is proportional to the number of ensemble members. However, it is difficult to increase the ensemble members because of the computational cost.

• Applied Biological Chemistry
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• v.51 no.4
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• pp.294-298
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• 2008

Effects of endosulfan (EN), an insecticide, and bleomycin (BL), an antibiotic, on the body weight in the normal mice, and the in vivo cell growth, tumor weight, and hematological parameters of the Ehrlich ascites carcinoma (EAC) cell-bearing Swiss albino mice Mus musculus were evaluated. EN and BL were respectively administered orally and intraperitoneally to the experimental mice; the control group consisted of EAC cell-bearing untreated mice only. EN reduced the body weight in normal mice, whereas BL resulted in a steady body weight compared to the control. EN increased the EAC cell count significantly by reducing the growth of normal viable cells. In contrast, BL reduced the cell count by increasing the proportion of viable cells in the body. The tumor weights induced by EN were significantly higher than those of the EAC control and the BL-treated animals. In comparisons with the control and the BL mice, hematological parameters such as hemoglobin (%) and the number of RBC and lymphocytes were lowered, while counts of WBC, neutrophils, and monocytes were elevated after EN treatments. These results show that BL is capable of reducing the EN-induced neoplastic and haematological alterations in the mice under laboratory conditions.

• Korean Journal of Health Education and Promotion
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• v.10 no.1
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• pp.9-20
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• 1993

This study was conducted to show one case model for a community nutrition program as a part of the public health systems. The purpose of this study is to evaluate the effect of the nutrition education through the Knowledge(K), Attitude(A), and Practice of the nutrition that is the Behavior-Diagnosis(Be-D). The Nutrition Education was done for 33 housewives whom live in Sudong-Myeun, Namyangju-Kun, Kyungki-Do. It had been performed eight times during April 3rd through May 30th, 1991. We investigated actual conditions of objects about K, A, Be-D in the nutrition, and the Food Environment(En) separately before and after the nutrition education by questionnaire and interview. The results of the research turned out as follows ; 1. The comparison of the scores before and after nutrition education showed significant increase in the knowledge and attitude. 2. The scores of the Be-D were also significantly higher after education, especially in the number of foods taken per day, the balanced diet, the general food habits for adult, and amounts of intake of nutrients showed significant increase of lipid, calcium, Vit. A, $Vit B_2$, Vit. C after nutrition education. 3. Multiple regression analysis showed that the scores of the Knowledge and En were significantly associated with the number of food taken per day for condition of adjusting socio-demografic factor and A effect. Also, En was important variable in explanation of the balanced diet and A, En were important in the general food habits for adult.

• Journal of the Korean Wood Science and Technology
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• v.24 no.1
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• pp.27-33
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• 1996

The aim of this research was to investigate the chemical components of C30 compounds, especially triterpenoids in Korean native mistletoes of Korthalsella japonicus Engler parasiting to Camellia japonica L., Viscum album var. coloratum (Kom.) Ohmi, to Quercus acutissima Carruth. and Loran-thus yadoriko Sieb. to Neolitsea sericea (BI.) Koidz. For the identification of triterpenoidal components, alkaline hydrolyzates of mistletoes meals were analyzed by TLC, GC, and GC/MS. The content of oleanolic acid and ursolic acid derivatives were highest in K. japonica. In V. album, there was no big difference between leaves and twigs in content. but oleanolic acid in leaves. and olean-12-en-$3{\beta}$-ol and lup-20(29)-en-3-one in twigs were prominent. Similiar to V. album in L. yadoriki there was no difference between leaves and twigs in content, and both olean-12-en-$3{\beta}$-ol, lup-20(29)-en-3-one and urs-12-en-$3{\beta}$-ol in leaves, lup-20(29)-en-3-one in twigs were abundant. Triterpenoids as olea-12-en-$3{\beta}$-ol, lupe-20(29)-en-3-one, 3-oxo-urs-12-en-24-oic acid, and $21{\beta}$-A'-neogam-macer-22(29)-en-3-ol acetate were common in all samples tested. whereas ursolic acid only in P. japonicus and ursenol in L. yadoriki were detected. And P. japonicus had the largest number of triterpenoids and showed the highest in biological activity. So it is noted that Korean mistletoes tested in the study had three types of triterpenoid, oleanane, lupane, and ursane, irrespective of hosts, sampling positions and species.

• Steel and Composite Structures
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• v.9 no.4
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• pp.303-323
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• 2009

Charts for the bending moments in the closed rib orthotropic deck plate are derived, based on the method originally introduced by Pelikan and Esslinger. New charts are done for EN 1991-2 traffic load distribution schemes. The governing Huber plate equation is solved utilizing Fourier series for various bridge deck plate boundary conditions. Bending moments are given as a function of deck plate rigidities and span length between cross beams. Old diagrams according to DIN 1072, the new ones according to EN 1991-2 and FE analyses results are compared. For typical bridge orthotropic deck plates, it can be concluded that the new EN 1991-2 traffic loads produce larger mid-span bending moments when two lane schemes are used, then those of DIN 1072. For support moments, DIN 1072 gives larger values for any number of lanes, especially under span lengths of 5m. The relevant differences are up to 25%.

• Ocean and Polar Research
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• v.42 no.3
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• pp.179-194
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• 2020

The present study aims to evaluate the effects of satellite-based SST (OSTIA) assimilation on a regional ocean circulation model for the Yellow and East China Seas (YECS), using three different assimilation methods: the Ensemble Optimal Interpolation (EnOI), Ensemble Kalman Filter (EnKF), and 4-Dimensional Variational (4DVAR) techniques, which are widely used in the ocean modeling communities. The model experiments show that an improved initial condition by assimilating the SST affects the seasonal water temperature and water mass distributions of the YECS. In particular, the SST data assimilation influences the temperature structures horizontally and vertically in winter, thereby improving the behavior of the YS warm current water. This is due to the fact that during wintertime the water column is well mixed, which is directly updated by the SST assimilation. The model comparisons indicate that the SST assimilation can improve the model performance in resolving the subsurface structures in wintertime, but has a relatively small impact in summertime due to the strong stratification. The differences among the different assimilation experiments are obvious when the SST was sharply changed due to a typhoon passage. Overall, the EnKF and 4DVAR show better agreement with the observations than the EnOI. The relatively low performance of EnOI under storm conditions may be related with a limitation of EnOI method whereby an analysis is obtained from a number of climatological fields, and thus the typhoon-induced SST changes in short-time scales may not be adequately reflected in the data assimilation.

• Atmosphere
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• v.20 no.3
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• pp.287-306
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• 2010

An ensemble Kalman filter (EnKF) with Weather Research and Forecasting (WRF) Model is applied for Typhoon Wukong (200610) to investigate the performance of ensemble forecasts depending on experimental configurations of the EnKF. In addition, the ensemble sensitivity analysis is applied to the forecast and analysis ensembles generated in EnKF, to investigate the possibility of using the ensemble sensitivity analysis as the adaptive observation guidance. Various experimental configurations are tested by changing model error, ensemble size, assimilation time window, covariance relaxation, and covariance localization in EnKF. First of all, experiments using different physical parameterization scheme for each ensemble member show less root mean square error compared to those using single physics for all the forecast ensemble members, which implies that considering the model error is beneficial to get better forecasts. A larger number of ensembles are also beneficial than a smaller number of ensembles. For the assimilation time window, the experiment using less frequent window shows better results than that using more frequent window, which is associated with the availability of observational data in this study. Therefore, incorporating model error, larger ensemble size, and less frequent assimilation window into the EnKF is beneficial to get better prediction of Typhoon Wukong (200610). The covariance relaxation and localization are relatively less beneficial to the forecasts compared to those factors mentioned above. The ensemble sensitivity analysis shows that the sensitive regions for adaptive observations can be determined by the sensitivity of the forecast measure of interest to the initial ensembles. In addition, the sensitivities calculated by the ensemble sensitivity analysis can be explained by dynamical relationships established among wind, temperature, and pressure.

• International Journal of High-Rise Buildings
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• v.9 no.4
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• pp.351-360
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• 2020

Monitoring civil structures periodically is necessary for ensuring the fitness of the structures. Cracks on inner and outer surfaces of the building plays a vital role in indicating the health of the building. Conventionally, human visual inspection techniques were carried up to human reachable altitudes. Monitoring of high rise infrastructures cannot be done using this primitive method. Also, there is a necessity for more accurate prediction of cracks on building surfaces for ensuring the health and safety of the building. The proposed research focused on developing an efficient crack classification model using Transfer Learning enabled EfficientNet (TL-EN) architecture. Though many other pre-trained models were available for crack classification, they rely on more number of training parameters for better accuracy. The TL-EN model attained an accuracy of 0.99 with less number of parameters on large dataset. A bench marked METU dataset with 40000 images were used to test and validate the proposed model. The surfaces of high rise buildings were investigated using vision enabled Unmanned Arial Vehicles (UAV). These UAV is fabricated with TL-EN model schema for capturing and analyzing the real time streaming video of building surfaces.