• Journal of Korean Society of Forest Science
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• v.99 no.3
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• pp.304-311
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• 2010

Korea National Forest Inventory System has been adopting different cluster plot design and new equations to estimate growing stock volumes since 2006. These changes have resulted in volume estimations which show some difference from previous ones. This study is to find out the source of such difference. For this, relevant data was collected from 80 plots of 20 cluster samples according to the cluster plot design applied to 4th and 5th National Forest Inventory. Then growing stock volumes were estimated by using current and previous individual tree volume equations respectively. An investigation was made to detect whether such difference in volume estimates was originated from the changes in cluster plot design or from using different volume equations. T-test results showed that the difference from changes in cluster plot design was negligible. Instead, changes in volume equations had statistically significant effects in volume estimation. Since the volume estimation by the 5th National Forest Inventory would bring overestimation by applying different volume equations, all the volume estimations made prior to 2006 would require necessary modifications for international reporting.

• Nuclear Engineering and Technology
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• v.52 no.9
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• pp.1907-1916
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• 2020

In this work, the depletion capability implemented in Monte Carlo code MCS is investigated to predict the isotopic compositions of spent nuclear fuel (SNF). By comparison of MCS calculation results to post irradiation examination (PIE) data obtained from one pressurized water reactor (PWR), the validation of this capability is conducted. The depletion analysis is performed with the ENDF/B-VII.1 library and a fuel assembly model. The transmutation equation is solved by the Chebyshev Rational Approximation Method (CRAM) with a depletion chain of 3820 isotopes. 18 actinides and 19 fission products are analyzed in 14 SNF samples. The effect of statistical uncertainties on the calculated number densities is discussed. On average, most of the actinides and fission products analyzed are predicted within ±6% of the experiment. MCS depletion results are also compared to other depletion codes based on publicly reported information in literature. The code-to-code analysis shows comparable accuracy. Overall, it is demonstrated that the depletion capability in MCS can be reliably applied in the prediction of SNF isotopic inventory.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.19 no.1
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• pp.113-121
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• 2021

A safety assessment of radioactive waste repositories is a mandatory requirement process because there are possible radiological hazards owing to radionuclide migration from radioactive waste to the biosphere. For a reliable safety assessment, it is important to establish a parameter database that reflects the site-specific characteristics of the disposal facility and repository site. From this perspective, solubility, a major geochemical parameter, has been chosen as an important parameter for modeling the migration behavior of radionuclides. The solubilities were derived for Am, Ni, Tc, and U, which were major radionuclides in this study, and on-site groundwater data reflecting the operational conditions of the Gyeongju low and intermediate level radioactive waste (LILW) repository were applied to reflect the site-specific characteristics. The radiation dose was derived by applying the solubility and radionuclide inventory data to the RESRAD-OFFSITE code, and sensitivity analysis of the dose according to the solubility variation was performed. As a result, owing to the low amount of radionuclide inventory, the dose variation was insignificant. The derived solubility can be used as the main input data for the safety assessment of the Gyeongju LILW repository in the future.

• Journal of the Korea Convergence Society
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• v.8 no.2
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• pp.35-42
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• 2017

The purpose of the present study was to explore the features of Emotional Intelligence(EI) in psychiatric patients in terms of the ability model. EI scores of patients, measured by performance-based test and self-report inventory, was compared. The scores of performance-based test(Emotional Literacy Test) and self-report inventory(Trait Meta-Mmood Scale) of patients(30 with psychotic symptoms, 32 without psychotic symptoms) who had a appropriate literacy were analyzed by means of independent t-test. There was a no significant difference of IQ between two groups. Our results indicated that psychotic group had significantly lower EI in performance-based test than non-psychotic group. In contrast, non-psychotic group showed lower EI in self-report inventory than psychotic group. This inconsistent results might be attributable to the differences in method of measurement. Thus, these results suggested that it may be important to adopt a convergent using of both performance-based test and self-report inventory while assessing EI of patients with psychopathology.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.7 no.2
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• pp.161-166
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• 1996

The major goals of this study are to investigate the correlation between the cormorbid symptom and the prognosis of conduct disorder in the adolescents. for this purpose, according to the result of 6-month follow-up of discharged patient who met the criteria of conduct disorder in admission, good-prognosis group(n=37) and poor-prognosis group(n=36) were selected. Authors applied Children's Depression Inventory and Trait Anxiety Inventory, Conners Parenting Rating Scale. Yale Children's Inventory to two groups. The results are summarized as follows : 1) Using CDI, the mean scores of poor-prognosis group were significantly higher compared with those of good prognosis group. 2) Using TAI, CPRS, YCI, the mean scores of poor-prognosis group were insignificantly higher compared with those of good prognosis. 3) The limitation of our study is that number of subjects is small, definition of prognosis is ambiguous, and period of 6 month follow-up is short.

• Korean Journal of Biological Psychiatry
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• v.14 no.4
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• pp.256-261
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• 2007

Objectives : The aim of the present study was to examine whether anxiety and depression of children and mothers were associated with the children's medically unexplained somatic symptoms in attention-deficit/hyperactivity disorder(ADHD). Methods : 83 clinic-referred boys with ADHD and 52 boys without ADHD were included in this study. The frequency of the medically unexplained somatic symptoms, such as general-ache, headache, nausea, eye problems, skin problems, abdominal pain, vomiting was evaluated using the somatic symptom domain of the Child Behavior Checklist(CBCL). Children's anxiety and depression were evaluated using Kovacs Children's Depression Inventory(CDI) and Spielberger's State-Trait Anxiety Inventory(STAI) for children. Maternal anxiety and depression were measured by Spielberger's State-Trait Anxiety Inventory(STAI) and Beck's Depression Inventory(BDI). Stepwise linear regression analysis was used to examine the hypothesis. Results : Score of maternal state anxiety affects the T score of the somatic symptom domain in CBCL significantly(adjusted $R^2$=0.057 ; p=0.026). Conclusion : The frequency of medically unexplained somatic symptom of children perceived by mothers was associated with the high level of maternal state anxiety in ADHD. Frequent maternal report of the children's somatic symptom may be a warrant for the evaluation and management of the maternal state anxiety in ADHD.

• The Korean Journal of Elementary Counseling
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• v.9 no.1
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• pp.21-39
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• 2010

The purpose of this study was to validate the Korean version of Inventory of Parent Attachment(K-IPA), The first version of K-IPA was developed through the process of translation and tack translation of items of parent attachment from Inventory of Parent and Peer Attachment (Armsden & Greenberg, 1986), content validation test with 30 elementary school children, and content validation test with an expert group. The validation test with 964 students (emementary, middle, high school) confirmed all 25 items(each items were asked for mother and father) were appropriate and reliable, K-IPA consists of three different sub-scales, 10 items for trust scale, 9 items for communication scale, and 6 items isolation across all age groups.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.26 no.4
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• pp.288-294
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• 2015

Objectives : The purpose of this study was to assess anger of middle school adolescents in an urban community using State-Trait Anger Expression Inventory (STAXI)-Korean and Korean Child Behavior Checklist (K-CBCL), and to determine whether specific anger expression of adolescents is associated with certain psychopathology including depression. Methods : Data were collected from 395 middle school students and their parents in Incheon city. The students completed the STAXI, Children's Depression Inventory, Korean version of Mood disorder Questionnaire, and Conners-Wells' Adolescent Self-Report Scale (Short Form), and their parents completed the K-CBCL. Results : No significant correlation was observed between aggression subscale K-CBCL and each scale of the STAXI, except anger out (r=0.704). The scores for STAXI total and respective scales were significantly higher for female students than male students. A stepwise logistic regression model was used to explore the possible predictors for depression in adolescents and lower anger control and higher anger suppression were found to be predictors for depression in adolescence. Conclusion : There is a possibility of a large discrepancy between anger that the adolescents actually feel and parents' judgment of their children's anger. It must be considered in assessment of adolescent anger and use of further structured interviews is necessary. In addition, it may be useful to consider the anger expression style in adolescents who report depressive symptoms.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.220-227
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• 2018

The cooperative game theory consists of a set of players and utility function that has positive values for a subset of players, called coalition, in the game. The purpose of cost allocation method is to allocate the relevant cost among game players in a fair and rational way. Therefore, cost allocation method based on cooperative game theory has been applied in many areas for fair and reasonable cost allocation. On the other hand, the desirable characteristics of the cost allocation method are Pareto optimality, rationality, and marginality. Pareto optimality means that costs are entirely paid by participating players. Rationality means that by joining the grand coalition, players do not pay more than they would if they chose to be part of any smaller coalition of players. Marginality means that players are charged at least enough to cover their marginal costs. If these characteristics are all met, the solution of cost allocation method exists in the core. In this study, proportional method is applied to EOQ inventory game and EPQ inventory game with shortage. Proportional method is a method that allocates costs proportionally to a certain allocator. This method has been applied to a variety of problems because of its convenience and simple calculations. However, depending on what the allocator is used for, the proportional method has a weakness that its solution may not exist in the core. Three allocators such as demand, marginal cost, and cost are considered. We prove that the solution of the proportional method to demand and the proportional method to marginal cost for EOQ game and EPQ game with shortage is in the core. The counterexample also shows that the solution of the proportional method to cost does not exist in the core.

• Journal of Korean Society for Atmospheric Environment
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• v.34 no.2
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• pp.306-320
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• 2018

Emission inventory is the essential component for improving the performance of air quality forecasting system. This study evaluated the simulated daily mean $PM_{2.5}$ concentrations in South Korea and China for 1-year period (Sept. 2016~Aug. 2017) using air quality forecasting system which was applied by the emission inventory of E2015 (predicted CAPSS 2015 for South Korea and KORUS 2015 v1 for the other regions). To identify the impacts of emissions on the simulated $PM_{2.5}$, the emission inventory replaced by E2010 (CAPSS 2010 and MIX 2010) were also applied under the same forecasting conditions. These results showed that simulated daily mean $PM_{2.5}$ concentrations had generally suitable performance with both emission data-sets for China (IOA>0.87, R>0.87) and South Korea (IOA>0.84, R>0.76). The impacts of the changes in emission inventories on simulated daily mean $PM_{2.5}$ concentrations were quantitatively estimated. In China, normalized mean bias (NMB) showed 5.5% and 26.8% under E2010 and E2015, respectively. The tendency of overestimated concentrations was larger in North Central and Southeast China than other regions under both E2010 and E2015. Seasonal differences of NMB were higher in non-winter season (28.3% (E2010)~39.3% (E2015)) than winter season (-0.5% (E2010)~8.0% (E2015)). In South Korea, NMB showed -5.4% and 2.8% for all days, but -15.2% and -11.2% for days below $40{\mu}g/m^3$ to minimize the impacts of long-range transport under E2010 and E2015, respectively. For all days, simulated $PM_{2.5}$ concentrations were overestimated in Seoul, Incheon, Southern part of Gyeonggi and Daejeon, and underestimated in other regions such as Jeonbuk, Ulsan, Busan and Gyeongnam, regardless of what emission inventories were applied. Our results suggest that the updated emission inventory, which reflects current status of emission amounts and spatio-temporal allocations, is needed for improving the performance of air quality forecasting.