• Journal of Genetic Medicine
• /
• v.7 no.1
• /
• pp.45-52
• /
• 2010

Purpose: The objectives were to examine following 2 questions related to cognitive profile for the children with Williams syndrome (WS); 1) Is there a significant advantage for verbal IQ over performance IQ in WS?; 2) Is there selective impairment in visuospatial ability in the children with WS? Materials and Methods: Five children with WS with the age of $90.86{\pm}20.73$ months were compared with 12 children with Prader-Willi syndrome (PWS) or Down syndrome (DS) with comparable age and IQ. Results: All 5 children with WS showed intellectual disability whose mean scaled scores were $15.71{\pm}9.27$ in verbal subtests and $14.29{\pm}7.50$ in performance subtests, which did not show significant difference. There was no significant difference in the total sum of scaled scores of verbal subtests among WS, PWS and DS. There was no selective impairment in subtests which represented visuospatial tasks for the children with WS. However, the scaled score of object assembly was significantly lower in WS ($2.29{\pm}0.95$) compared to that of PWS ($4.75{\pm}2.77$; P <0.05). Conclusion: The general notion that the children with WS would be relatively strong in verbal function when compared with their overall cognitive function was not observed in this study. The verbal function of the children with WS was not better when compared to the children with DS or PWS. There was no selective impairment of visuospatial function in the children with WS at this age. However, the visuospatial function was significantly low in the children with WS only when compared to the children with PWS.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.11
• /
• pp.7667-7671
• /
• 2015

Recently, Zinc coating is often used with environment friendly features and high performance. Generally The coating temperature is one of main factors for determining coating thickness and coating ability, so the optimal coating temperature is strongly required. In this paper, the thermo-flow simulation considering the air flow inside the coating rooms for analyzing the temperature distributions of Zinc spray coating room was performed. Two spray coating rooms, preheating room and drying room were all modeled by SolidWorks program and the temperature distributions were analyzed by Flow simulation program. The analysis results were verified with the measured data by thermal image camera. The characteristics of temperature distributions of the first spray room and the second spray room were understood and the results showed that the temperatures of two spray coating room were low compared with the target temperature $25^{\circ}C$. To the exclusion of heater addition, the simulation with all the same conditions exclusive the exhaust fan was performed, which showed that the temperatures of the first and the second spray rooms increased by $6.2^{\circ}C$ and $5.8^{\circ}C$. This analysis can be applicable for designing a new spray coating room for improving performance.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.7
• /
• pp.3207-3213
• /
• 2011

Most methods of color constancy, which is the ability to determine the object color regardless of the scene illuminant, have failed to meet our expectation of their performance especially about low-illuminated scenes. Some methods with high performance need to be developed, but we must, above all else, obtain experimental images for analyzing the required circumstances or evaluating the methods. Therefore, the paper produces new sets of images so that they can be used in the development of color constancy methods suitable for low-illuminated scenes. These sets are composed of two parts: one part of images which are synthesized with spectral power distribution(SPD) of illuminants, spectral reflectance curve of reflectances, and sensor response functions of camera; the other part of images where the intensity of each image is adjusted at the uniform rate. In an experiment, the use of the sets takes an advantage that its result images are analyzed and evaluated quantitatively as their ground truth data are known in advance.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.11
• /
• pp.4360-4366
• /
• 2010

It is impossible for all athletes to be satisfied with a single training program due to the fact that they have different physiological characteristics and needs. However, paucity studies have been introduced a specific training program for high school sprinters. Therefore, this study was designed to help develop and introduce the training program with a physical examination to enhance sprinting performance for experienced high school sprinters. VO2max, muscular strength, basic physical ability, and body composition were measured before and after a 24 week training program. The following are the conclusions based on the results of this study: 1) body fat percentage was increased after 24 weeks of training. Fat free mass and the amount of water in the body increased by 1.5% and 1.1% respectively, 2) $VO_2$maxand anaerobic threshold level showed a significant increase after 24 weeks of training, 3) exercise duration and anaerobic threshold duration were also increased after 24 weeks of training, but not statistically significant, and 4) muscular strength significantly increased due to the execution of combined weight training and circuit training. Development and implementation of the training program in this study made sprinters' physical capacities better in VO2max, anaerobic threshold, and muscular strength and body composition. Also, sprinters were able to increase fat free mass through 24 weeks of training due to increased muscle mass. Therefore, a training program for high school sprinters should include a physical examination to enhance sprinting performance and prevent sports injuries.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.6
• /
• pp.736-741
• /
• 2017

This paper examines the design for improving the wiper system of rotorcraft. During rotorcraft operation, the wiping performance and excessive clearance can decrease. The wiper system consists of a wiper arm assembly, motor, convertor and flex drive. If there is a problem with the wiper system, the operation ability decreases because the operation is restricted in a rainy environment. There are two main causes of the problem of the wiper system: the lifting forces acting on the wiper arm in aircraft flight and the excessive gap of the components. To remedy these two problems, the wiper arm was improved. The improvements included increased contact pressure on the wiper arm (spring tension), improved gear clearance, and material and shape changes. Durability test, aircraft ground test and flight test were carried out to verify the improved shape, and it was confirmed that the wiping performance and clearance problems were solved. Currently, the rotorcraft is operated without problem by applying the improved shape, and this design improvement process will be a useful reference for future rotorcraft development.

• Korean Journal of Remote Sensing
• /
• v.35 no.5_1
• /
• pp.681-692
• /
• 2019

In this paper, a hybrid deep learning model, called 2D convolution with bidirectional long short-term memory (2DCBLSTM), is presented that can effectively combine both spatial and temporal features for crop classification. In the proposed model, 2D convolution operators are first applied to extract spatial features of crops and the extracted spatial features are then used as inputs for a bidirectional LSTM model that can effectively process temporal features. To evaluate the classification performance of the proposed model, a case study of crop classification was carried out using multi-temporal unmanned aerial vehicle images acquired in Anbandegi, Korea. For comparison purposes, we applied conventional deep learning models including two-dimensional convolutional neural network (CNN) using spatial features, LSTM using temporal features, and three-dimensional CNN using spatio-temporal features. Through the impact analysis of hyper-parameters on the classification performance, the use of both spatial and temporal features greatly reduced misclassification patterns of crops and the proposed hybrid model showed the best classification accuracy, compared to the conventional deep learning models that considered either spatial features or temporal features. Therefore, it is expected that the proposed model can be effectively applied to crop classification owing to its ability to consider spatio-temporal features of crops.

• Journal of Korea Port Economic Association
• /
• v.31 no.2
• /
• pp.69-83
• /
• 2015

This study proposes effective overseas market entry strategies that could allow Korean logistics companies to develop international capabilities and become global firms by adapting to environmental changes in global logistics. First, it reviews the overseas networks of Korean international freight forwarders and the recent trends in the global logistics market. Then, it surveys the conditions of two groups of freight forwarders, namely partnerships and subsidiaries, which are categorized according to type of entry into foreign markets. These companies' networks are concentrated in East and Southeast Asia regardless of network type. As a result, the ability for partnerships to network is higher than that of subsidiaries. However, subsidiaries are small in number and located in various regions because of their initial stage, which is why their businesses depend on the price competitiveness of the parent company. The satisfaction and performance of subsidiaries are both generally low according to the presented findings. In addition, the successful strategies of international freight forwarders include following operations, specializing their logistics services, building collaborations among small and medium-sized companies, recruiting and training professional human resources in international logistics, and entering markets together with their customers. Overall, this study highlights the importance of measuring and evaluating objectively the level and performance of overseas networking through a survey about the internationalization of Korean freight forwarder companies. To conclude, this study is considered to contribute to raising their global competitiveness by suggesting strategies derived from the survey findings and SWOT analysis.

• Journal of Gastric Cancer
• /
• v.21 no.3
• /
• pp.268-278
• /
• 2021

Purpose: While several prognostic models for the stratification of death risk have been developed for patients with advanced gastric cancer receiving first-line chemotherapy, they have seldom been tested in the Chinese population. This study investigated the performance of these models and identified the optimal tools for Chinese patients. Materials and Methods: Patients diagnosed with metastatic or recurrent gastric adenocarcinoma who received first-line chemotherapy were eligible for inclusion in the validation cohort. Their clinical data and survival outcomes were retrieved and documented. Time-dependent receiver operating characteristic (ROC) and calibration curves were used to evaluate the predictive ability of the models. Kaplan-Meier curves were plotted for patients in different risk groups divided by 7 published stratification tools. Log-rank tests with pairwise comparisons were used to compare survival differences. Results: The analysis included a total of 346 patients with metastatic or recurrent disease. The median overall survival time was 11.9 months. The patients were different into different risk groups according to the prognostic stratification models, which showed variability in distinguishing mortality risk in these patients. The model proposed by Kim et al. showed relative higher predicting abilities compared to the other models, with the highest χ² (25.8) value in log-rank tests across subgroups, and areas under the curve values at 6, 12, and 24 months of 0.65 (95% confidence interval [CI]: 0.59-0.72), 0.60 (0.54-0.65), and 0.63 (0.56-0.69), respectively. Conclusions: Among existing prognostic tools, the models constructed by Kim et al., which incorporated performance status score, neutrophil-to-lymphocyte ratio, alkaline phosphatase, albumin, and tumor differentiation, were more effective in stratifying Chinese patients with gastric cancer receiving first-line chemotherapy.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.25 no.4
• /
• pp.46-55
• /
• 2021

Concrete structures can cause various problems as the number of common years increases when exposed to external extreme climate conditions. Among these problems, freezing and thawing occur due to the action of extreme climate factors such as heavy rain and heavy snow, which have become the most problematic in recent years. In this study, we present a rapid freezing and thawing test method of concrete in the air, referring to KS F 2456, as Seoul exhibits very dry weather during the period of freezing and thawing. Concrete test specimens and RC beams were fabricated to perform rapid freezing and thawing of 0, 100, 200, and 300 cycles, and the performance evaluation confirmed the degradation of each subject in material and member units. The design strength of 24 MPa, which performs rapid freezing and thawing in the air up to 300 cycles, decreases by 5.24 MPa (21%), and as rapid freezing and thawing in the air increases the stress burden on reinforced concrete bending members, reducing the energy absorption (dissipation) ability of structures due to earthquakes.

• Economic and Environmental Geology
• /
• v.52 no.2
• /
• pp.199-212
• /
• 2019

In the machine learning techniques, the sampling strategy of the training data affects a performance of the prediction model such as generalizing ability as well as prediction accuracy. Especially, in landslide susceptibility analysis, the data sampling procedure is the essential step for setting the training data because the number of non-landslide points is much bigger than the number of landslide points. However, the previous researches did not consider the various sampling methods for the training data. That is, the previous studies selected the training data randomly. Therefore, in this study the authors proposed several different sampling methods and assessed the effect of the sampling strategies of the training data in landslide susceptibility analysis. For that, total six different scenarios were set up based on the sampling strategies of landslide points and non-landslide points. Then Random Forest technique was trained on the basis of six different scenarios and the attribute importance for each input variable was evaluated. Subsequently, the landslide susceptibility maps were produced using the input variables and their attribute importances. In the analysis results, the AUC values of the landslide susceptibility maps, obtained from six different sampling strategies, showed high prediction rates, ranges from 70 % to 80 %. It means that the Random Forest technique shows appropriate predictive performance and the attribute importance for the input variables obtained from Random Forest can be used as the weight of landslide conditioning factors in the susceptibility analysis. In addition, the analysis results obtained using specific sampling strategies for training data show higher prediction accuracy than the analysis results using the previous random sampling method.