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      • KCI등재

        머신러닝 기반 상권정보를 활용한 신규점포 매출 예측

        하승인,김범석 한국인터넷전자상거래학회 2024 인터넷전자상거래연구 Vol.24 No.1

        This study opening a new super store involves selecting an economically feasible location through screening candidate locations and estimating expected sales. Individuals or corprate businesses may have less access to sensitive information than large distribution companies, making it difficult to select an effective location. Accordingly, this study proposed a model that can predict sales of new super stores using easily accessible commercial district information. At this time, the model applied the broken-line regression method to dived the analysis object into two areas before/after the break-point, and separately estimated sales by fitting ridge regression to each area. Through this, it is expected that it will be possible to identify various relationships between sales and influencing factors. As a result of the analysis, a clear difference in relationship between the two areas appeared starting from the break-point, and the sales prediction accuracy through the regression model was also found to be at a good level.

      • KCI등재

        Effects of Indirect Financial Policy for Sustainability of Small and Medium-sized Enterprises in Korea in Business Fluctuation Cycle

        하승인,김현옥,이명주 한국경영컨설팅학회 2023 경영컨설팅연구 Vol.23 No.6

        Financial policy in Korea is designed to support the sustainable growth and stability of small and medium-sized enterprises (SMEs). Many studies have investigated the effectiveness of this financial support policy; however, previous studies only focused on the effects of policy financial support and did not consider sample bias of evaluating the program. Therefore, these studies do not have a consistent conclusion. The reason why many studies do not have consistent research results is that distortion effects by sample selection bias occur when analyzing the effect of policy financial support. Main reasons for this lack of clarity include distortions caused by sample selection bias, particularly when analyzing the impact of loan policy. The first effect is sample selection bias regarding companies with and without indirect financial support. While it is necessary to compare the performances of companies that receive indirect financial support with those that do not, hidden counterfactual conditions can impact the results of policy effects depending on which companies are evaluated. The second effect is due to natural business cycles because small and medium-sized enterprises (SMEs) are more affected by business fluctuations than larger companies. If policy effects are evaluated without considering economic fluctuation, such effects will be diluted by cycle consequences. We avoided these pitfalls by selecting sample companies using a propensity score matching (PSM) methodology to minimize distortion caused by sample selection bias. We use a difference-in-difference (DID) method to analyze policy effects for each stage of the business cycle between 1998 and 2013, all of which were verified in advance by KOSTAT. This study minimized sample selection bias to evaluating support policy and determine its effectiveness in accordance with normal economic fluctuations. Results demonstrated that SMEs receiving indirect financial support showed better financial performance than those that did not. Evidence of a business cycle responsiveness effect was also uncovered, as we found that policy effects are stronger when the business cycle is in a contraction period.

      • 내시경적 역행성 담관조영술 중에 발생한 식도천공에 의한 기흉 1예

        하승인,김신,김유리,박찬복,이지현,윤병철,한병훈,이상욱,신동훈 고신대학교 의학부 2004 高神大學校 醫學部 論文集 Vol.19 No.1

        Esophageal perforation is an extremely lethal injury that requires careful management for survival. Currently, the most common cause of the perforation is iatrogenic injury, and the incidence of esophageal perforation has increased as the use of endoscopic procedure has become more frequent. Perforation during endoscopic retrograde cholangiogram (ERC) are rare. Bile duct or duodenal perforation caused by therapeutic procedures such as endoscopic sphincterotomy, guide-wire, and biliary stent were frequently reported. However, the case of esophageal perforation developed during diagnostic ERC was very rare and there has not report in Korea yet. A 61-year-old man was admitted for the evaluation of upper abdominal pain. He suspected bile duct dilatation and common bile duct stone by ultrasongraphy. During the diagnostic ERC, endoscopy showed structure of pleural cavity. We suspected esophageal perforation, and then checked esophagogram, neck and chest CT. The CT showed right side pneumothorax and left parapharyngeal and retropharyngeal air shadow. We diagnosed esophageal perforation accompanied with pneumothorax. He was successfully treated with medical treatment for 10 days.

      • 내시경적 역행성 담관조영술 중에 발생한 식도천공에 의한 기흉 1예

        하승인,김신,김유리,박찬복,이지현,윤병철,한병훈,이상욱,신동훈 고신대학교(의대) 고신대학교 의과대학 학술지 2004 고신대학교 의과대학 학술지 Vol.19 No.1

        Esophageal perforation is an extremely lethal injury that requires careful management for survival. Currently, the most common cause of the perforation is iatrogenic injury, and the incidence of esophageal perforation has increased as the use of endoscopic procedure has become more frequent. Perforation during endoscopic retrograde cholangiogram (ERC) are rare. Bile duct or duodenal perforation caused by therapeutic procedures such as endoscopic sphincterotomy, guide-wire, and biliary stent were frequently reported. However, the case of esophageal perforation developed during diagnostic ERC was very rare and there has not report in Korea yet. A 61-year-old man was admitted for the evaluation of upper abdominal pain. He suspected bile duct dilatation and common bile duct stone by ultrasonography. During the diagnostic ERC, endoscopy showed structure of pleural cavity. We suspected esophageal perforation, and then checked retropharyngeal air shadow. We diagnosed esophageal perforation accompanied with pneumothorax. He was successfully treated with medical treatment for 10 days.

      • 기계 학습에 기초한 추천시스템 알고리즘에 대한 연구

        하승인(Ha, SeungYin),유영범(Yoo, Yiung Bum),정예숙(Jung, Ye Suk) 한국서비스경영학회 2017 한국서비스경영학회 학술대회 Vol.2017 No.11

        Online content service providers are using recommendation systems as part of their efforts to increase sales. The recommendation system identifies and recommends the customer "s preferred content, and it helps the customer to increase the satisfaction and the loyalty of the service by using the content suitable for the user" s taste without searching the content. In this study, we propose an algorithm for selecting recommendation contents for individual customers by using the Movie Lens data. The algorithms used in the existing recommendation systems have the disadvantage that they can not utilize contents that do not exist in the data since the important words are selected from the given data and the contents are selected based thereon. On the other hand, the Latent Dirichlet Allocation algorithm is that can utilize potential keywords that are not in the data.

      • KCI등재

        일반화 가법 모형을 이용한 정책금융 수혜규모가 중소기 업 경영성과에 미치는 효과성 연구

        하승인 ( Seungyin Ha ),장명균 ( Myoung Gyun Jang ),이군희 ( Gunhee Lee ) 한국중소기업학회 2017 기업가정신과 벤처연구 Vol.20 No.2

        본 연구는 기업의 재무상태 및 지원규모에 따른 정책금융지원의 효과를 파악하기 위하여 일반화가법모형을 적용하여 실증분석 하였다. 이를 위해 이자보상배율과 총자산 대비 신규보증금액 비율을 이용하여 업종별로 분석대상을 구분하였으며, 수익성, 성장성지표를 사용하여 경영성과를 측정하였다. 또한 분석기간에 여러 번의 정책금융을 지원받은 기업의 경우 표본선택편의로 인한 결과의 왜곡이 발생할 수 있으므로 중복지원 효과를 최소화하기 위해 지원연도를 기준으로 이전 3년 동안 보증잔액 및 신규보증이 없으며, 이후 2년동안 신규보증이 없는 기업을 선정하였다. 분석 결과, 보증시점의 이자보상배율이 1 미만이라 하더라도 지원규모에 따라 성과는 차별화되는 것을 확인할 수 있었다. 또한 한계기업의 기준으로 사용되는 이자보상배율이 0에 근사한 기업이더라도 경영성과는 향상될 수 있음을 확인할 수 있다. 결국 본 연구에서는 정책금융 지원정도에 따른 차별적인 경영성과를 확인함으로써 기술력이나 성장 잠재력을 고려한 평가가 요구되며 이를 통해 정책금융을 지원하는 담보가 부족한 중소기업의 자금조달 문제를 완화할 수 있는 유인책으로서의 작용할 수 있음을 시사하고 있다. The aims of this study is to analyze the effectiveness of firms financial status quo and the scale of financial support on SMEs overall performance. We have gathered the financial guarantee data from 1998 to 2013, provided by Korea Credit Guarantee Fund (KODIT), to analyze the effectiveness of Financial policy. To classify both financial status quo and scale of financial support, we utilized the following variables; Interest Coverage Ratio (ICR) and newly guaranteed amount ratio. To take the measurement of the overall performance, we employed profitability, growth ratio and activity index. To minimize the effect of repeated financial support (redundancy benefits), firms were selected based on the following criteria: firms that receive no financial support prior to implementing such policy over the last 3 years and no new financial support over the last 2 years. Results suggest that firms with higher ICR and large newly guaranteed amount influence on financial performance in terms of profitability index. Firms with lower ICR and large scale financial support showed a better performance compare to firms with small-scale financial support. Firms with large-scale financial support, irrespective of ICR inclined to have better performance to those of small-scale financial support in terms of growth index. For activity index, however, firms with large scale support led to higher performance in the short term. In turn, our analysis presents objective perspective with respect to the effectiveness of financial policy through credit guarantee on overall performance of SMEs. This study, therefore, implies that well-balanced SMEs supporting policy may lead to better directions.

      • KCI등재

        간 수술의 병력이 없는 환자에서 발생한 담관 원주 증후군

        하승인 ( Seung In Ha ),최정식 ( Jung Sik Choi ),김영훈 ( Young Hoon Kim ),전현수 ( Hyun Soo Jun ),조용건 ( Yong Gun Jo ),이원현 ( Won Hyun Lee ),박성길 ( Seong Gill Park ),이상헌 ( Sang Heon Lee ) 대한소화기학회 2012 대한소화기학회지 Vol.60 No.6

        Biliary cast describes the presence of casts within the biliary tree. It is resultant sequel of cholangitis and hepatocyte damage secondary to bile stasis and bile duct injury. Biliary cast syndrome was first reported in patient undergone liver transplantation. The pathogenesis of biliary cast is not clearly identified, but proposed etiologic factors include post-transplant bile duct damage, ischemia, biliary infection, or post-operative biliary drainage tube, Although biliary casts are uncommon, most of biliary cast syndrome are reported in the liver transplant or hepatic surgery patients. A few reports have been published about non-transplant or non-liver surgery biliary cast. We report two cases of biliary cast syndrome in non-liver surgery patients.

      • 자동 크로마키 시스템을 위한 효과적 사용자 인터페이스 구현

        승인,황지순,진영 강원대학교 정보통신연구소 2010 정보통신논문지 Vol.14 No.-

        Chroma-key systems, which separate object from background image and compose new image with separated object over new background image, are widely used in remote education, presentation, and weather forecasting on TV. However chroma-key systems usually require studios with high-end cameras, perfect illumination, and blue screen. We cannot get high quality chroma-key video without such equipments. In this research, we implemented a low cost chroma-key system using PC with webcam, common illumination, and chief bluescreen. Any JPEG images can be used as background image in our system. After detecting monochrome background image, shadows are eliminated, then a target object is segmented from background images. Finally the extracted object is composed over user selected background images. We can set order and time of background images in a text file. Furthermore we can change background images forward and backward using image recognition without keyboard or mouse. Our system can be used as an education system, since human computer interaction is powered by scan color detection to get user hand position.

      • KCI등재

        수도 레이블을 활용한 이종 데이터 융합에 대한 연구: 분석 기술 수용성 관점에서

        이인혜,하승인 한국경영컨설팅학회 2024 경영컨설팅연구 Vol.24 No.1

        최근 대부분 기업들이 경영활동에서 발생하는 복잡한 비즈니스 과제를 해결하기 위해 다양한 원천의 데이터를 활용하려 하고 있다. 또한, 기업 전반에 걸쳐 데이터 기반 의사결정을 문화로 정착시키기 위한 데이터 컬쳐 구축에도 힘을 쏟고 있다. 최근 데이터 3법을 통한 가명 정보 활용의 법적 근거가 마련되고, 개인정보 보호법 개정으로 인해 개인정보 활용의 법적 근거가 마련됨에 따라 금융, 통신, 유통 산업군을 중심으로 데이터 얼라이언스 구성이 활발하게 되었으며, 주요 기업들은 다양한 원천의 데이터를 결합함으로써 기업의 전략 수립 및 의사결정 지원, 새로운 고객 가치 창출 및 자사 데이터 가치 제고 등에 활용하고 있다. 그러나 제3자에 대한 데이터 전송을 요구할 법적 근거가 없는 금융업 및 공공분야 외 다른 산업 부문은 이종 산업간 데이터 융합을 통한 가시적 성과가 부족한 실정이다. 본 연구에서는 이종 데이터 융합을 통한 데이터 활용 방안 확대 및 비즈니스 영역의 실제 적용 가능성 확인을 목적으로, 대다수 기업들의 고객 세분화 방법론의 일환인 고객 라이프 스테이지를 가구구성기, 영유아자녀기 및 청소년자녀기 등으로 구분하여 활용하였다. 기존 데이터 얼라이언스 내 기업들의 서비스를 공통적으로 모두 이용하는 고객의 수는 매우 제한적일 수밖에 없으며, 산업 및 기업의 사업 특성 차이에 따라 해당 기업의 고객간의 편이가 존재해 얼라이언스 내의 데이터를 활용한 라이프 스테이지 추정에 큰 어려움이 따른다. 이러한 기업 특성에 따른 고객 분포의 차이를 최소화하여 고객의 라이프 스테이지를 추정할 수 있는 성향점수매칭 방법론을 활용하여 수도레이블을 부여하였으며, 얼라이언스 내 타 기업의 데이터를 활용하여 해당 기업의 고객 라이프 스테이지를 추정할 수 있었다. 이를 통해, 기업들은 자사 고객 관리 및 데이터 가치 제고 등에 활용이 가능할 것이다. Recently, most companies are utilizing data from various sources to solve complex business tasks that arise from management activities. In order to establish such data based decision making as a culture throughout the company, we are also focusing on building a data culture. In addition, as the legal basis for the use of personal information has been established due to the revision of Personal Information Protection Act, the formation of data alliances is active, focusing on the finance, communications, and distribution sectors. Major companies are using it to establish corporate strategies, support decision making, and create new customer value by combining data from various sources. However, other industrial sectors other than the financial and public sectors, which do not have legal grounds to request data transmission to third parties, lack visible results through data convergence between different industries. In this study, we propose a method for converging and utilizing heterogeneous industry data through customer life stage estimation as part of customer segmentation. The number of customers who use all the services of companies within the existing data alliance is limited, and there are differences among customers depending on the characteristics of the industry and company, making life stage estimation difficult. To minimize the differences in customer distribution according to these company characteristics, the propensity score matching method was used, and through this, it was possible to estimate the life stage of customers even if they did not use all of the services of companies within the alliance.

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