• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.155-163
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• 2021

This research was conducted to check the impact of factors related to the small and medium-sized enterprises (SME) on the economic growth in the Southeast region of Vietnam, over the years from 1996-2019. This paper applies a combination of FEM, DKSE, GMM, and RIDGE-FEM regression methods to estimate the influence of independent variables on the economic growth of the whole Southeast region with the panel data collected from GSO; and applying the OLS regression model for each province. The study finds that all variables have a statistically significant positive impact on the economic growth of the study area. Accordingly, the importance of the variables is in the following order: (1) the proportion of workers by professional and technical qualification (SMEH), (2) the number of vocational training schools (LnTSCH), and educational level of workers (LnSchool), (3) the number of SME enterprises (LnSME); (4) The average number of years in the schooling of employees in the enterprise (LnSchool); (5) Enterprise capital (LnCAP); and (6) the average number of employees of SME (LnSMER). The research results also show that factors related to the quality of labor resources have a more positive influence on growth than both the labor size and financial capital of SMEs.

• 한국수자원학회논문집
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• 제34권6호
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• pp.627-640
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• 2001

일반적으로 합성단위도법은 강우-유출기록이 없는 유역의 설계홍수량 산정을 위해 제안되었다. 그러나 국내에서는 아직까지 자료의 부족 등으로 외국에서 개발된 각종 유출모의 모형이 주로 이용되고 있다. 따라서 그 동안 축적된 국내의 강우-유출 자료를 이용하여 국내의 수문특성엥 적합한 유출모형의 개발이 절실한 상황이다. 이를 위해 본 연구에서는 설마천 유역의 2개 지점과 IHP 대표유역인 평강창, 보청천, 위천의 17개 지점에 대해 그 동안 축 (중략) 특성 관련 연구결과를 종합하여 새로운 합성단위도법을 개발하였다. 개발된 합성단위도는 유역특성인자와 단위도치식 치(첨두시간, 첨두유량)와의 다중회귀분석을 통해 유역면적-유로연장-유로경사의 3가지 변수로 구성되는 효 (중략) 전국을 있었다. 따라서 우리나라에서는 아직까지 수계별로 합성단위도를 분리하여 제시하기는 무리라고 보여지 (중략)

• 제어로봇시스템학회논문지
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• 제18권4호
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• pp.314-320
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• 2012

This paper proposes a new robust motion deblurring filter using the inertial sensor measurements for strapdown image IR applications. With taking the PSF measurement error into account, the motion blurred image is modeled by the linear uncertain state space equation with the noise corrupted measurement matrix and the stochastic parameter uncertainty. This motivates us to solve the motion deblurring problem based on the recently developed robust least squares estimation theory. In order to suppress the ringing effect on the deblurred image, the robust least squares estimator is slightly modified by adoping the ridge-regression concept. Through the computer simulations using the actual IR scenes, it is demonstrated that the proposed algorithm shows superior and reliable motion deblurring performance even in the presence of time-varying motion artifact.

• Genomics & Informatics
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• 제16권4호
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• pp.38.1-38.3
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• 2018

Gene-gene interaction (GGI) analysis is known to play an important role in explaining missing heritability. Many previous studies have already proposed software to analyze GGI, but most methods focus on a binary phenotype in a case-control design. In this study, we developed "Hierarchical structural CoMponent analysis of Gene-Gene Interactions" (HisCoM-GGI) software for GGI analysis with a continuous phenotype. The HisCoM-GGI method considers hierarchical structural relationships between genes and single nucleotide polymorphisms (SNPs), enabling both gene-level and SNP-level interaction analysis in a single model. Furthermore, this software accepts various types of genomic data and supports data management and multithreading to improve the efficiency of genome-wide association study data analysis. We expect that HisCoM-GGI software will provide advanced accessibility to researchers in genetic interaction studies and a more effective way to understand biological mechanisms of complex diseases.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제48권6호
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• pp.382-385
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• 2022

Congenital epulis (CE) is an extremely rare benign tumor of the gingiva that is found on the alveolar ridge of newborns, and the main treatment option is simple excision. Postoperative prognosis is very good, and spontaneous regression may occur despite incomplete excision. This report presented a rare case of CE and its healing process after surgery under local anesthesia. The treatment plan was decided upon through consultation between a medical team and the patient's family, with surgical excision for the main lesion, which benefitted from surgery, and follow-up for a very small-sized lesion, which was thought to be appropriate for a newborn. No recurrence was found after its removal, and favorable healing was observed.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2020년도 추계학술발표대회
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• pp.956-959
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• 2020

본 연구에서는 아파트를 대표할 수 있는 내·외적 데이터를 수집하고 인공지능 기술들을 활용하여 아파트 가격을 예측하는 시스템을 구축하고자 한다. 구체적으로 웹크롤링 기법을 통해 수집한 아파트 내·외적 데이터의 변수들에 대한 특성 선택(Feature Selection)을 수행하였고, 다양한 인공지능 기법을 활용하여 부동산 가격 예측 모형을 개발하였다. 아파트 가격 예측 모형 생성을 위해 Linear Regression, Ridge, Xgboost, Lightgbm, Catboost 등의 기계학습 알고리즘을 사용하였고, RMSE를 사용하여 각 예측 모형 간의 성능 비교를 수행하였다. 가장 성능이 좋은 예측 모형은 Xgboost기반 예측 모형이였으며, RMSE값이 약 0.0366으로 가장 낮았으며 테스트 데이터에 대한 정확도는 약 95.1%였다.

• 한국조경학회지
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• 제28권1호
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• pp.109-117
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• 2000

The purpose of this study is to examine the effect factors in suburban rural landscape and significant factors of apartment complex which are effective to the skyline of the sloped mountains. Also it is to propose the basic resources to preserve and improve the suburban rural landscape. The target site is Young-In, which shows the typical of rural development. Sides were take in young-In City along the roads and selected for 20 pieces. This study used questionnaire about the suburban rural landscape surveying of 45 students in Kyunghee Univ.. Also we found 2 dependent variables and 8 independent variables totally. Moreover, we have analyzed the data using descriptive statistics, correlation analysis, and multiple linear regression method between the preference and physical factors, and between the vulnerability and perceptional factors. The results are as follows: 1) With the dependent variable of preference, the areas of "green space" and "agricultural productive lands" were highly influenced in the suburban rural landscape positively, but the areas of "apartment complex" and "other buildings" were negatively effected. 2) With the dependent variable vulnerability, the area "apartment complex" and cutting numbers of the "skyline of mountainous ridge" were proved as significantly positive factors, but the length of the "skyline of mountainous ridge" turned out to be a negative factor. Although this study has the difficulty to be generalized, it can be used for planning and designing of the apartment complex in suburban rural landscapes, and it will provide the basic guideline for preserving and managing of the suburban rural landscapes.uideline for preserving and managing of the suburban rural landscapes.

• Maxillofacial Plastic and Reconstructive Surgery
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• 제21권4호
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• pp.414-417
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• 1999

The congenital epulis of newborn is a rare benign tumor that occurs on the gingiva of the anterior alveolar ridge of the jaws, also known as a congenital granular cell tumor. Females are affected 8 - 10 times more often than males. The typical location is the alveolar ridge of the maxilla near the canine but the mandibular region can also be involved. The lesion may be sessile or pedunculated with red or normal color. The size of tumor varies from several millimeters to a few centimeters in diameter. Surgical excision is generally indicated and no recurrences have been noticed. Spontaneous regression is rare. It is histologically similar to the granular cell tumor, although pseudoepitheliomatous hyperplasia does not occur in the former lesion. Thus sheets of large, closely packed cells showing fine, granular, eosinophilic cytoplasm comprise the tumor mass. This is a case report of congenital epulis in the fetus. The lesion was detected in ultrasonogram, its size is 3cm in diameter. The infant showed nursing disturbance and respiratory obstruction after birth, so the tumor was surgically excised under local anesthesia.

• 한국환경농학회지
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• 제37권3호
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• pp.151-159
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• 2018

BACKGROUND: In this review paper, the effects of surface cover (SCV), vegetative filter strip (VFS), and vegetated ridge (VRD) on the pollutant runoff from steep-sloping uplands were analyzed to compare the pollutant reduction efficiency in runoff ($PRE_{runoff}$) of the practices and to investigate how slope and rainfall parameters affect the $PRE_{runoff}$. METHODS AND RESULTS: The $PRE_{runoff}$ of SCV, VFS, and VRD for pollutants including suspended solids and biological oxygen demand was compared by analysis of variance. The effect of slope and rainfall parameters on the $PRE_{runoff}$ was explored by either mean comparison or regression analysis. It was found that the $PRE_{runoff}$ differs with the practices due to different pollutant reduction mechanisms of the practices. Though the $PRE_{runoff}$ was likely to be affected by site condition such as slope and rainfall (amount and intensity), more comprehensive understanding was not possible due to the limited data set. CONCLUSION: The $PRE_{runoff}$ of SCV, VFS, and VRD differed due to the distinctive mechanisms of pollutant removal of the practices. It is necessary to accumulate experimental data across a variety of gradient of slope and rainfall for comprehensive understanding of the effects of the practices on pollutant runoff from steep-sloping uplands.

• Journal of Korea Trade
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• 제25권5호
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• pp.110-128
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• 2021

Purpose - The essential purpose of this study is to analyze the possibility of substitution of an individual job resulting from technological development represented by the 4th Industrial Resolution, considering the different effects of digital transformation on the labor market. Design/methodology - In order to estimate the substitution probability, this study used two data sets which the job characteristics data for individual occupations provided by KEIS and the information on occupational status of substitution provided by Frey and Osborne(2013). In total, 665 occupations were considered in this study. Of these, 80 occupations had data with labels of substitution status. The primary goal of estimation was to predict the degree of substitution for 607 of 665 occupations (excluding 58 with markers). It utilized three methods a principal component analysis, an unsupervised learning methodology of machine learning, and Ridge and Lasso from supervised learning methodology. After extracting significant variables based on the three methods, this study carried out logistics regression to estimate the probability of substitution for each occupation. Findings - The probability of substitution for other occupational groups did not significantly vary across individual models, and the rank order of the probabilities across occupational groups were similar across models. The mean of three methods of substitution probability was analyzed to be 45.3%. The highest value was obtained using the PCA method, and the lowest value was derived from the LASSO method. The average substitution probability of the trading industry was 45.1%, very similar to the overall average. Originality/value - This study has a significance in that it estimates the job substitution probability using various machine learning methods. The results of substitution probability estimation were compared by industry sector. In addition, This study attempts to compare between trade business and industry sector.