• Journal of the Korean Orthopaedic Association
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• v.52 no.1
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• pp.1-6
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• 2017

Purpose: To retrospectively compare minimally invasive percutaneous plate osteosynthesis (MIPPO) with open plate fixation for the treatment of clavicle midshaft fracture. Materials and Methods: Between November 2011 to May 2014, 40 cases that were followed for more than 1 year-among all cases of MIPPO and open plate fixation-were analyzed. The study population was divided into two groups: group A included 20 cases of MIPPO and group B included 20 open plate fixation cases. The comparative analysis between the two groups was based on the operative time, bone union, functional evaluation (American Shoulder and Elbow Society score), incision length, pain relief (visual analogue scale, VAS), and complication. Results: The bone union was successful for all the cases, and the functional evaluation scores of the shoulder joint were satisfactory for both groups (p>0.05). The operative time was 47.5 minutes and 58.7 minutes for group A and B, respectively (p<0.05). The incision length for group A was 6.2 cm and that for group B was 10.7 cm with statistical significance (p<0.05). Pain relief (VAS) after surgery for group A showed a quick recuperation in the early stages. For complications, there were 2 cases of dysesthesia and 1 case of malunion due to metal fixation failure in group A. There were 6 cases of dysesthesia and 2 cases of cosmetic problem due to hypertrophic scar in group B. Conclusion: Surgical results of clavicle shaft fracture were satisfactory for both groups, but group A had advantages of shorter operative time, minimal incision length, and better pain relief in the early stages compared with group B. However, we need further evaluations with long-term follow-up results and complications, such as malunion and exposure on radiation.

• Journal of Popular Narrative
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• v.25 no.3
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• pp.303-345
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• 2019

This article analyzes the multi-layered communication in the Webtoon Princess Pari, released on the Daum portal site, created (written and illustrated) by Kim Naim, through analyzing the narrative structure and comments with the qualitative / quantitative methodology. The webtoon Princess Pari is structured in an omnibus style in which unit narratives are intermittently articulated, multi-lined, and interconnected. As integrated narratives which link with unitary narratives, Pari's growth story as a shaman and a romance narrative are structured. The classical original story of the shaman was used as a prehistory corresponding to the prequel of the webtoon through a preview, and the writer restructured the narrative to overcome the contradictions of the gender asymmetry and the patriarchal ideology of the original text. The viewer then creates a conversational space by giving critical and reflective comments. According to a statistical analysis conducted through sampling, the types of comments can be classified as follows: Appreciation and criticism of the contents ≫ Emotional response ≫ Intuitive overall review ≫ Knowledge and reflection ≫ Comments on comments. In the process of creation and acceptance of the Webtoon, a multi-layered dialogue between classical and modern, content and audience, acceptance and creation has been at play. In the creation dimension, the writer used a device to fill the gap of mythical symbols of the contents. At the level of the audience, they formed a culture of sharing information, knowledge, and reflection about tradition/folk/culture through comments. This corresponds to classical and modern dialogue through the webtoon. The viewers form a sympathetic bond, attempt hermeneutical coordination, supplement the information, and search for a balanced angle through controversial conversation. In addition, by commenting on attitudes, views, and perspective, the commentators showed a behavioral pattern corresponding to meta-criticism in literature. The viewers' comments acted as feedback on the creation of the webtoons, so that the creation and acceptance itself influenced the production of the content of the webtoon. The webtoon Princess Pari, which was based on Korean classical narrative, has been reorganized onto 'moving and dynamic' content, which leads to sense, thinking, criticism and reflection through the formation of various dialogues.

• Korean small business review
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• v.41 no.4
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• pp.1-36
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• 2019

The purpose of this study is to identify the relationships among purposes and contents of smart factory building and continuous utilization of smart factory. Specifically, this study identifies two types of purposes of smart factory building as follows: (1) improving productivity, (2) increasing flexibility. In this study, three aspects of smart factory building contents were suggested like this: (1) automation area (facility automation vs. work automation), (2) big data system focus (radical transformation vs. incremental improvement), and (3) value chain integration area (internal value chain integration vs. external value chain integration). In addition, we looked at how firm size moderates the purposes - contents - continuous utilization of smart factory relationship. A questionnaire survey was conducted on 151 manufacturing companies. More specifically, out of 151 companies, 100 are small-and-medium-sized enterprises and 51 large-sized enterprises. All questionnaires were targeted at companies with Smart Factory level above level 2. The analysis results of this study using Smart PLS statistical programs are as follows. First, the purposes of smart factory building including increasing productivity and flexibility had positive impacts on all of the contents of smart factory building. Second, all of smart factory building contents had positive impacts on the continuous use of smart factory except big data system for incremental improvement of manufacturing process. Third, the impacts of smart factory building purposes implementation on smart factory building contents varied depending on whether the purpose is productivity improvement or flexibility. Fourth, it was founded that firm size moderated the relationships of purposes - contents - continuous utilization of smart factory in such a way that large-sized firms tend to empathize the link between flexibility and smart factory building contents for continuous use of smart factory, while small-and-medium-sized-firms emphasizing the link between productivity and smart factory building contents. Most of the previous studies have focused on presenting current smart factory deployment cases. However, it is believed that this research has made a theoretical contribution in this field in that it established and verified a research model for the smart factory building strategy. Based on the findings from a working-level perspective, corporate practitioners also need to have a different approach to smart factory building, which should be emphasized depending on whether their purpose of building smart factory is to increase productivity or flexibility. In particular, since the results of this study identify the moderating effect of firm size, it is deemed necessary for firms to implement a smart factory building strategy suitable for their firm size.

• Journal of the Korean Orthopaedic Association
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• v.52 no.1
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• pp.15-24
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• 2017

Purpose: The aim of this study was to determine the effectiveness of arthroscopic debridement with mini-open ulnar nerve decompression in primary osteoarthritis of the elbow with ulnar neuropathy. Materials and Methods: Between May of 2006 and July of 2014, a total of 43 patients who had undergone surgery for primary osteoarthritis of the elbow with ulnar neuropathy were included in this study. We divided the subjects into two groups according to the method of surgery: group 1 (n=18) received mini-open ulnar nerve decompression only, and group 2 (n=25) received arthroscopic debridement with mini-open ulnar nerve decompression. Patients were assessed for the following clinical outcomes: visual analogue scales (VAS) score, range of motion of the elbow joint, Mayo elbow performance score (MEPS), and disabilities of the arm, shoulder and hand (DASH) at the time before surgery and 6 months after surgery. We analyzed the recovery of the ulnar nerve by the McGowan grade and Bishop rating score preoperatively and at 6 months after the surgery. Results: The VAS score, range of motion of the elbow joint, MEPS, and DASH showed significant statistical difference after the surgery (p<0.05). However, between the 2 groups, there was no significant difference. For the McGowan grade, all cases of both groups-except one case each group-showed at least one grade improvement. Moreover, group 2 showed a greater significant difference than group 1 (p=0.001). At the final follow-up, according to the Bishop rating score, group 2 had a greater significant difference than group 1 (p=0.036). Conclusion: Arthroscopic debridement with mini-open ulnar nerve decompression in primary osteoarthritis of the elbow with ulnar neuropathy is a useful technique, which has several advantages, including the benefits associated with a minimally invasive surgery and also the improvement of elbow joint function and excellent recovery of the ulnar nerve.

• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.1
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• pp.107-123
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• 2018

The global impact of climate change on agriculture is now increasing. The purpose of this study was to investigate the effect of climate change on livestock productivity. The variables that have the greatest influence on climate change factors were examined through previous studies and expert surveys. We also used the actual productivity data of livestock farmers to investigate the relationship with climate change. In order to evaluate the climate for changes in livestock productivity, national representative data (such as bullocks, dairy, pigs, laying hens, and broilers) were surveyed in Korea. Also, to select and classify evaluation indexes, we selected climate change factor variables as prior studies and studied the weighting factor of climate variable factors. In this study, the researchers of industry, academia, and farmers in the livestock sector conducted questionnaires on the indicators of vulnerability to climate change using experts, and then weighed the selected indicators using the hierarchical analysis process (AHP). In order to verify the validity of the evaluation index, was examined using domestic climate data (temperature, precipitation, humidity, etc.). Correlation and regression analysis were performed. The empirical relationship between climate change and livestock productivity was examined through this study. As a result, we used data with high reliability of statistical analysis and found that there are significant variables.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5B
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• pp.595-601
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• 2008

The purpose of this study is to investigate the trends and patterns of various kind of water uses in a household by metering in Korea. Water use components are classified by toilet, washbowl, bathing, laundry, kitchen, miscellaneous. Flow meters are installed in 140 household selected by sampling in all around Korea. The data are gathered by web-based data collection system from the year 2002 to 2006, considering pre-investigated data such as occupation, revenue, family members, housing types, age, floor area, water saving devices, education, miscellaneous. Reliable data are selected by upper fence method for each observed water use component and statistical characteristics are estimated for each residential type to determine liter per capita per day. Estimated domestic per capita day show an indoor water use with the range from 150 lpcd to 169 lpcd for each housing type as the order of high rise apartment, multi-house, and single house. As the order of consuming amount among water use components, it is investigated that toilet (38.5 lpcd) is the first, and the second is laundry water (30.8 lpcd), the third is kitchen (28.4 lpcd), the fourth is bathtub (24.7 lpcd), the next is washbowl (15.4 lpcd). The results are compared with water uses in U.K. and U.S. As life style has been changed into western style, pattern of water use in Korea is tend to be similar with the U.S. water use pattern. Compared with the surveying results by Bradley, on 1985. Thirty liter of total use increased with the advancement of economic level, and a little change of water use pattern can be found. Especially, toilet water take almost half part of total water use and laundry water shows lowest as 11% in surveying at the year of 1985. But, this study shows that 39 liter, 28% of toilet water, has been decreased by the spread of saving devices and campaign. It is supposed that the spread large sized laundry machine make by-hand laundry has been decreased and water use increased. Unit water amount of each end-use in household can be applied to design factor for water and wastewater facilities, and it play a role as information in establishing water demand forecasting and conservation policy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5B
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• pp.603-614
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• 2008

End-uses of household water have been changed by a life style, housing type, weather, water rate and water supply facilities etc. and those variables can be considered as an internal and exogenous factors to estimate long-term demand forecasts. Analysis of influential factors on water consumption in households would give an explanation to cause on the change of trend and would help predicting the water demand of end-use in household. The purpose of this study is to analyze the demand trends and patterns of household water uses by metering and questionnaire such as occupation, revenue, numbers of family member, housing types, age, floor area and installation of water saving device, etc. The peak water uses were shown at Saturday among weekdays and July in a year based on the analysis results of water use pattern. A steep increase of total water volume can be found in the analysis of water demand trend according to temperature from $-14^{\circ}C$ to $0^{\circ}C$, while there are no significant variations in the phase of more than $0^{\circ}C$, with an almost stable demand. Washbowl water shows the highest and toilet water shows the lowest relation with temperature in correlation analysis results. In the results of ANOVA to find the significant difference in each unit water use by exogenous factors such as housing type, occupation, number of generation, residential area and income et al., difference was shown in bathtub water by housing type and shown in kitchen, toilet and miscellaneous water by numbers of resident. Especially, definite differences in components except washbowl and bathtub water, could be found by numbers of resident. Based on the result, average residents in a house should be carefully considered and the results can be applied as reference information, in decision making process for predicting water demand and establishing water conservation policy. It is expected that these can be used as design factors in planning stage for water and wastewater facilities.

• Journal of Korean Academy of Dental Administration
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• v.5 no.1
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• pp.13-21
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• 2017

Objective: To understand the experience of medical accidents and disputes according to clinical career of dental hygienists. Methods: A self-administrated questionnaire survey was conducted from May 2012 to June 2012 targeting 313 dental hygienists in Gyeongsangnam-do, Republic of Korea. Data were analyzed by descriptive analysis, χ2-test, and one-way analysis of variance (ANOVA). Collected data were analyzed using SPSS 18.0. Results: 1) The group who had more than 6 years of clinical experience experienced complaints from patients (70.3%) and dental hygienists duty (30.7%); 2) Complaints were related to diagnosis, dental treatment instruments and materials, scaling, impression preparation, and prosthodontics. Pediatric patients had significantly more complaints compared to other patients. Overall, there were more frequent cases in the group with over 6 years of clinical career; 3) For the psychological state after experiencing patients' complaints, 'the process is difficult, but I forget after thinking it could be happen' had 160 respondents. Among them, 38.1% had clinical experience of more than 6 years, 37.5% had less than 3 years, and 24.4% had clinical career of 3~6 years; 4) About 73.6% of those had 3~6 years of clinical career answered that 'sometimes it is doubtful' on the issue of medical accidents and conflicts on prevention education of dental hygienists that 'there is a doubt about the issue of medical treatment or the occurrence of disputes'. About 60.0% of those who had less than 3 years of clinical experience answered that it was highly 'necessary but not urgent' on the necessity of preventive education, while 87.1% of those who had more than 6 years of clinical career answered that it was highly 'necessary but not urgent' on the necessity of preventive education. The difference between the two was not statistically significant. Conclusions: It is necessary and urgent to provide education related to prevention and countermeasures against malpractice disputes for dental hygienists.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.2
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• pp.80-98
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• 2023

This study explores the effectiveness of various data preprocessing algorithms for improving subseasonal to seasonal (S2S) climate predictions from six climate forecast models and their Multi-Model Ensemble (MME) using a deep learning-based postprocessing model. A pipeline of data transformation algorithms was constructed to convert raw S2S prediction data into the training data processed with several statistical distribution. A dimensionality reduction algorithm for selecting features through rankings of correlation coefficients between the observed and the input data. The training model in the study was designed with TimeDistributed wrapper applied to all convolutional layers of U-Net: The TimeDistributed wrapper allows a U-Net convolutional layer to be directly applied to 5-dimensional time series data while maintaining the time axis of data, but every input should be at least 3D in U-Net. We found that Robust and Standard transformation algorithms are most suitable for improving S2S predictions. The dimensionality reduction based on feature selections did not significantly improve predictions of daily precipitation for six climate models and even worsened predictions of daily maximum and minimum temperatures. While deep learning-based postprocessing was also improved MME S2S precipitation predictions, it did not have a significant effect on temperature predictions, particularly for the lead time of weeks 1 and 2. Further research is needed to develop an optimal deep learning model for improving S2S temperature predictions by testing various models and parameters.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5D
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• pp.885-894
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• 2006

The purpose of this study is focused on the development of the effective classification technique using ultra multiband of hyperspectral image. This study suggests the classification technique using canonical correlation analysis, one of multivariate statistical analysis in hyperspectral image classification. High accuracy of classification result is expected for this classification technique as the number of bands increase. This technique is compared with Maximum Likelihood Classification(MLC). The hyperspectral image is the EO1-hyperion image acquired on September 2, 2001, and the number of bands for the experiment were chosen at 30, considering the band scope except the thermal band of Landsat TM. We chose the comparing base map as Ground Truth Data. We evaluate the accuracy by comparing this base map with the classification result image and performing overlay analysis visually. The result showed us that in MLC's case, it can't classify except water, and in case of water, it only classifies big lakes. But Canonical Correlation Classification (CCC) classifies the golf lawn exactly, and it classifies the highway line in the urban area well. In case of water, the ponds that are in golf ground area, the ponds in university, and pools are also classified well. As a result, although the training areas are selected without any trial and error, it was possible to get the exact classification result. Also, the ability to distinguish golf lawn from other vegetations in classification classes, and the ability to classify water was better than MLC technique. Conclusively, this CCC technique for hyperspectral image will be very useful for estimating harvest and detecting surface water. In advance, it will do an important role in the construction of GIS database using the spectral high resolution image, hyperspectral data.