• The Journal of Korean Obstetrics and Gynecology
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• v.33 no.1
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• pp.116-127
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• 2020

Objectives: The purpose of this study is to analyze csatisfaction with clinica1 training in the department of Korean Medicine Obstetrics and Gynecology and the related factors. Methods: All the students on the graduating class of school of Korean Medicine, Dong-Shin University must be trained for 1 year in the department of Korean Medicine Obstetrics and Gynecology according to clinical training guideline including Objective Structured Clinical Examination (OSCE). After completing clinical training, we distributed questionaries to them about a reflex of the object of study, usefulness, difficulty, satisfaction and preference. And then, we analyzed the related factors including descriptive statistics, frequency analysis and correlation analysis by SPSS 12.0. Results: In general, a reflex of the aim of study (7.31±1.59), satisfaction with contents (7.44±1.58), and difficulty (6.13±1.34) were evaluated restectively. There is no statistically significant difference with sex. There is a statistically significant positive correlation between a reflex of the aim of study and satisfaction with contents. The primary preferences of clinical practice were Clinic Training, Ward Training, PBL (Problem Based Learning), OSCE. In OSCE, a reflex of the aim of study (7.04±1.83) and usefulness (7.02±1.97) were highly evaluated. There is no statistically significant difference with sex. The primary preferences for clinical OSCE practice were breast examination, genital examination, ultrasound scan, and pap smear. Facilities and equipment (6.84±2.01), contents of clinical training (7.29±1.83), the handout (7.20±1.98) and time scheduling (7.29±1.90) were evaluated respectively in general composition of clinical training. Conclusions: Clinical training program in the department of Korean Medicine Obstetrics and Gynecology can be highly estimated from the viewpoint of satisfaction with clinical training and the related factors.

• The Southeast Asian review
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• v.28 no.4
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• pp.223-252
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• 2018

The purpose of this paper is to substantially analyse the patterns of complements considering the aspects of not only syntax but also morphology since the concept of complement has been used as a term to analyse the components of a sentence. However, it cannot be denied that there seemed to be limitations due to the partial explanation or different explanations of the same sentence. Thus, this paper aims at dealing with the close relation between sentential components and suffixes to examine the sentence patterns; subject, predicate, object, complement, and adjunct focusing on the terms of complement which has been seen problematic due to incomplete explanations and different interpretations of the same sentence. Finally, this paper synthesises various opinions of many scholars and integrates them to get explicit and practical patterns of complement of a sentence based on not only syntax but also morphology through close relation between sentential components and morphological suffixes.

• Journal of Biomedical Engineering Research
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• v.43 no.4
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• pp.290-297
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• 2022

During surgery, Surgical instruments are often left behind due to accidents. Most of these are surgical gauze, so radioactive non-permeable gauze (X-ray gauze) is used for preventing of accidents which gauze is left in the body. This gauze is divided into wire and pad type. If it is confirmed that the gauze remains in the body, gauze must be detected by radiologist's reading by imaging using a mobile X-ray device. But most of operating rooms are not equipped with a mobile X-ray device, but equipped C-Arm equipment, which is of poorer quality than mobile X-ray equipment and furthermore it takes time to read them. In this study, Use C-Arm equipment to acquire gauze image for detection and Build dataset using artificial intelligence and select a detection model to Assist with the relatively low image quality and the reading of radiology specialists. mAP@50 and detection time are used as indicators for performance evaluation. The result is that two-class gauze detection dataset is more accurate and YOLOv5 model mAP@50 is 93.4% and detection time is 11.7 ms.

• Journal of Fashion Business
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• v.27 no.1
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• pp.61-76
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• 2023

The purpose of this study was to derive exotic products handled by Bon Marche department store, examine characteristics, and reveal the meaning of exotic taste in the 19th century. The research method is literature research centered on original materials of the time, such as old literature related to department stores, and films, newspapers, magazines, and periodicals as well as books and papers. Commercial catalogs and Agenda-Buvard published by Bon Marché were used as visual materials. Results are as follows. Exotic tastes of products of the Bon Marche department store in the late 19th century showed an oriental style centered on Persia, India, China, and Japan. Products from various regions such as Turkey, Spain, Algeria, Tunisia, England, Italy, and Russia were also accepted. These exotic tastes had the following contributions and meanings. First, they expanded items and product development and activated domestic industry through production of imitations and replicas. Second, before the advent of department stores, foreign items that came to Europe were exclusive properties of a few privileged classes. However, in the late 19th century, as the number of consumers who wanted to have a new status higher than themselves increased, exotic products of the Bon Marche department store became the object of desire for material pursuits toward the upper class rather than sentimental fantasies. Third, exotic tastes gradually spread to the public as production of products imitating foreign products became possible industrially with an easy access to them. From this, it can be seen that department stores were mediators of trends and the epicenter of popularizing exotic tastes.

• Journal of Drive and Control
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• v.20 no.2
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• pp.15-23
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• 2023

In this study, two-dimensional location of crops for auto weeding was detected using deep learning. To construct a dataset for soybean detection, an image-capturing system was developed using a mono camera and single-board computer and the system was mounted on a weeding robot to collect soybean images. A dataset was constructed by extracting RoI (region of interest) from the raw image and each sample was labeled with soybean and the background for classification learning. The deep learning model consisted of four convolutional layers and was trained with a weakly supervised learning method that can provide object localization only using image-level labeling. Localization of the soybean area can be visualized via CAM and the two-dimensional position of the soybean was estimated by clustering the pixels associated with the soybean area and transforming the pixel coordinates to world coordinates. The actual position, which is determined manually as pixel coordinates in the image was evaluated and performances were 6.6(X-axis), 5.1(Y-axis) and 1.2(X-axis), 2.2(Y-axis) for MSE and RMSE about world coordinates, respectively. From the results, we confirmed that the center position of the soybean area derived through deep learning was sufficient for use in automatic weeding systems.

• Composites Research
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• v.22 no.1
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• pp.22-31
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• 2009

Recently the wind energy has been alternatively used as a renewable energy resource instead of the mostly used fossil fuel due to its lack and environmental issues. This work is to propose a structural design and analysis procedure for development of the 500W class small wind turbine system which will be applicable to relatively low speed region like Korea and for the domestic use. The wind turbine blade was performed structural analysis including stress, deformation, buckling, vibration and fatigue. In addition, the blade should be safe from the impact damage due to FOD(Foreign Object Damage) including the bird strike. MSC.Dytran was used in order to analyze the bird strike penomena on the blade, and the applied method Arbitrary Lagrangian-Eulerian was evaluated by comparison with the previous study results. Finally, the structural test was carried out and its test results were compared with the estimated results for evaluation of the designed structure.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.2
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• pp.50.2-50.2
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• 2019

We present the results of high-resolution (R ≥ 30,000) optical and near-infrared spectroscopic monitoring observations of a FU Orionis-type object, 2MASS J06593158-0405277. We have monitored 2MASS J06593158-0405277 with the Bohyunsan Optical Echelle Spectrograph (BOES) and the Immersion GRating INfrared Spectrograph (IGRINS) since December 2014. Various features produced by wind, disk, and outflow/jet were detected. The wind features varied over time and disappeared about a year after the outburst occurred. The double-peaked line profiles were detected in the optical and near-infrared, and the line widths decrease with increasing wavelength. The disk features in the optical spectra are fit well with G2-type or G5-type stellar spectra convolved with a disk rotational profile of about 45 km s^-1, which corresponds to a disk radius of about 71 R_⊙for a central mass of 0.75 M_⊙. Disk features in near-infrared spectra are fit well with a K1-type stellar spectrum convolved with a disk rotational profile of about 35 km s^-1, which corresponds to a disk radius of about 117 R_⊙ for a central mass of 0.75 M_⊙. We also detected [S II] and H2 emission lines, which are rarely found in FUors but are usually found in the earlier stage of young stellar objects. Therefore, we suggest that 2MASS J06593158-0405277 is in the relatively earlier part of Class II stage.

• Journal of the Korean Society of Food Culture
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• v.22 no.4
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• pp.383-392
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• 2007

The object of this study is to evaluate the Korean traditional food culture education program which was developed in the prior study. In order to evaluate the effect of the program on the students’ knowledge of traditional food culture and their food habit, the program was practiced for 82 students in 4 elementary schools located in Seoul and Kyungki province during 16 weeks from Mar 1, 2005 to July 23, 2005. The pretest and the post-test were performed using an evaluation tool which is composed of evaluation sections for the perception and knowledge of the Korean traditional food culture, Korean children’s food habit and food preference for the Korean traditional food and fast food. The validity of evaluation was proved through the control group in the pretest and the post-test. Descriptive analysis and paired t-test were performed using SPSS/WIN 12.0 Statistic Package in order to compare the results of the pretest with those of the post-test after the education. The perception of the students who took the class for the Korean traditional food was slightly improved (p<0.05) and their knowledge was also increased (p<0.001) after the education while no difference was found in the control group. Moreover, the subjects’ food habit (p<0.001) and their preference of the Korean traditional food (p<.05) were increased respectively but their preference of the Western fast food was decreased(p<.01). These results indicate that the education program evaluated in this study has the effect of altering the subjects’ food habit or food preference as well as of introducing the knowledge of the Korean traditional food culture.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.133-140
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• 2006

This paper suggests to reclassify railroad accident types and to standardize them as the standardized code for the railroad safety management system. The existing railroad accident types in both domestic and foreign cases have been carefully analyzed in the beginning. Based on the case studies, the new railroad accident types are classified into 9 classes which are not overlapped one another and 9 classes have been subdivided into 40 different accident patterns. All these patterns are linked with 9 different accident objects and 6 accident locations. Therefore, this study suggested the combination of 4 distinct code factors: accident class, accident pattern, accident object, and accident location to standardize them. In addition, inter-operation between the proposed codes and the existing accident types is suggested. This code will play a major role in the railroad safety management system composed of accident prevention, accident preparedness, accident response, and accident recovery.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2643-2657
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• 2023

Scene graphs are structured representations that can clearly convey objects and the relationships between them, but are often heavily biased due to the highly skewed, long-tailed relational labeling in the dataset. Indeed, the visual world itself and its descriptions are biased. Therefore, Unbiased Scene Graph Generation (USGG) prefers to train models to eliminate long-tail effects as much as possible, rather than altering the dataset directly. To this end, we propose Geometric and Semantic Improvement (GSI) for USGG to mitigate this issue. First, to fully exploit the feature information in the images, geometric dimension and semantic dimension enhancement modules are designed. The geometric module is designed from the perspective that the position information between neighboring object pairs will affect each other, which can improve the recall rate of the overall relationship in the dataset. The semantic module further processes the embedded word vector, which can enhance the acquisition of semantic information. Then, to improve the recall rate of the tail data, the Class Balanced Seesaw Loss (CBSLoss) is designed for the tail data. The recall rate of the prediction is improved by penalizing the body or tail relations that are judged incorrectly in the dataset. The experimental findings demonstrate that the GSI method performs better than mainstream models in terms of the mean Recall@K (mR@K) metric in three tasks. The long-tailed imbalance in the Visual Genome 150 (VG150) dataset is addressed better using the GSI method than by most of the existing methods.