• 제목/요약/키워드: Private-led

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LDA 를 이용한 '프랜차이즈 규제' 관련 뉴스기사 토픽모델링 (Topic Modeling of News Article Related to Franchise Regulation Using LDA)

  • 양우령;양회창
    • 한국프랜차이즈경영연구
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    • 제13권4호
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    • pp.1-12
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    • 2022
  • Purpose: In 2020, the franchise industry accomplished a significant growth compared to the previous year, as the number of franchise companies increased by 9.0% while the number of franchise brands increased by 12.5%. Despite growth in size, the Korean franchise industry underwent many negative incidents, such as franchise ownership sales to private equity funds, that led to deterioration of businesses. From this point of view, this study aims to make various proposals to help policy makers develop franchise industry policies by analyzing trends of the current and previous presidential administrations' franchise policies and regulations using newspaper articles. Research design, data and methodology: A total of 7,439 articles registered in Naver API from February 25, 2013 to November 29, 2021 were extracted. Among them, 34 unrelated video articles were deleted, and a total of 7,405 articles from both administrations were used for analysis. The R package was used for word frequency analysis, word clouding, word correlation analysis, and LDA (Latent Dirichlet Allocation) topic modeling. Results: The keyword frequency analysis shows that the most frequently mentioned keywords during the previous administration include 'no-brand', 'major company', 'bill', 'business field', and 'SMEs', and those mentioned during the current administration include 'industry' and 'policy'. As a result of LDA topic modeling, 9 topics such as 'global startups' and 'job creation' from the previous administration, and 10 topics such as 'franchise business' and 'distribution industry' from the current administration were derived. The results of LDAvis showed that the previous administration operated a policy based on mutual growth of large and small businesses rather than hostile regulations in the franchise business, whereas the current administration extended the regulation related to franchise business to the employment sector. Conclusions: The analysis of past two administrations' franchise policy, it can be suggested that franchisors and franchisees may complement each other in developing the Fair Transactions in Franchise Business Act and achieving balanced growth. Moreover, political support is needed for sound development of franchisors. Limitations and future research suggestions are presented at the end of this study.

기계학습에 유효한 데이터 요건 및 선별: 공공데이터포털 제공 데이터 사례를 통해 (Valid Data Conditions and Discrimination for Machine Learning: Case study on Dataset in the Public Data Portal)

  • 오효정;윤보현
    • 사물인터넷융복합논문지
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    • 제8권1호
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    • pp.37-43
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    • 2022
  • 인공지능 기술의 가장 큰 근간은 학습 가능한 데이터이다. 최근 정부나 사기업에서 수집·생산하는 데이터의 종류와 양이 기하급수적으로 증가하고 있지만, 실제 기계학습에 활용 가능한 데이터의 확보로는 아직까지 이어지지 않고 있다. 이에 본 연구에서는 기계학습에 실제 활용 가능한 데이터가 갖추어야 할 조건에 대해 논의하고, 실제 사례연구를 통해 데이터 품질을 저하시키는 요인을 파악한다. 이를 위해 공공빅데이터를 활용해 예측 모델을 개발한 대표사례를 선정, 공공데이터포털로부터 실제 문제 해결을 위한 데이터를 수집 후 데이터 품질을 확인하였다. 이를 통해 유효한 데이터 선별 기준을 적용하고 후처리한 결과와의 차이를 보인다. 본 연구의 궁극적인 목적은 인공지능의 핵심인 기계학습 기술 개발에 앞서 가장 근본적으로 선결되어야 할 데이터 품질을 관리하고 유효한 데이터를 축적하기 위한 기반 마련에 있다.

Histological analysis on tissues around orthodontically intruded maxillary molars using temporary anchorage devices: A case report

  • Hui-Chen Tsai;Julia Yu-Fong Chang;Chia-Chun Tu;Chung-Chen Jane Yao
    • 대한치과교정학회지
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    • 제53권2호
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    • pp.125-136
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    • 2023
  • Before progress was recently made in the application of temporary anchorage devices (TADs) in bio-mechanical design, orthodontists were rarely able to intrude molars to reduce upper posterior dental height (UPDH). However, TADs are now widely used to intrude molars to flatten the occlusal plane or induce counterclockwise rotation of the mandible. Previous studies involving clinical or animal histological evaluation on changes in periodontal conditions after molar intrusion have been reported, however, studies involving human histology are scarce. This case was a Class I malocclusion with a high mandibular plane angle. Upper molar intrusion with TADs was performed to reduce UPDH, which led to counterclockwise rotation of the mandible. After 5 months of upper molar intrusion, shortened clinical crowns were noticed, which caused difficulties in oral hygiene and hindered orthodontic tooth movement. The mid-treatment cone-beam computed tomography revealed redundant bone physically interfering with buccal attachment and osseous resective surgeries were followed. During the surgeries, bilateral mini screws were removed and bulging alveolar bone and gingiva were harvested for biopsy. Histological examination revealed bacterial colonies at the bottom of the sulcus. Infiltration of chronic inflammatory cells underneath the non-keratinized sulcular epithelium was noted, with abundant capillaries being filled with red blood cells. Proximal alveolar bone facing the bottom of the gingival sulcus exhibited active bone remodeling and woven bone formation with plump osteocytes in the lacunae. On the other hand, buccal alveolar bone exhibited lamination, indicating slow bone turnover in the lateral region.

하이브리드 클라우드 구축을 지원하기 위한 스크립트 기반의 클라우드 결합 기법 (Script-based cloud integration mechanism to support hybrid cloud implementation)

  • 김웅수;박준석;염근혁
    • 한국차세대컴퓨팅학회논문지
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    • 제13권5호
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    • pp.80-92
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    • 2017
  • 클라우드 컴퓨팅의 대중화로 다양한 유형의 클라우드 서비스가 등장하고 있으며, 퍼블릭 클라우드와 프라이빗 클라우드를 결합하여 이들의 단점을 상쇄시킨 배치 모델인 하이브리드 클라우드가 최근 각광 받고 있다. 하지만 서로 다른 클라우드의 결합에 대한 복잡성 문제와 관련 솔루션 부족에 의해 기업이나 조직의 하이브리드 클라우드 도입과 클라우드 전략 확보가 늦춰지고 있는 실정이다. 이에 본 논문에서는 결합 복잡성 문제 해결을 위한 클라우드 결합기법을 제시한다. 본 논문에서 제시하는 클라우드 결합 기법은 스크립트 기반으로 클라우드 결합을 해결하며, 하이브리드 클라우드 기능을 실현하는 결합 스크립트와 이를 생성, 실행하는 프로세스, 소프트웨어 디자인 패턴을 적용한 스크립트 생성 모델로 구성되어 있다. 제시된 결합 기법을 이용하면 다양한 클라우드 서비스를 결합하여 사용자의 요구에 맞는 스크립트를 빠르게 생성할 수 있으며, 이를 통해 하이브리드 클라우드의 도입과 클라우드 전략 확보를 촉진시킬 수 있을 것으로 기대된다.

멀티 파티 시스템에서 딥러닝을 위한 프라이버시 보존 기술 (Privacy Preserving Techniques for Deep Learning in Multi-Party System)

  • 고혜경
    • 문화기술의 융합
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    • 제9권3호
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    • pp.647-654
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    • 2023
  • 딥러닝은 이미지, 텍스트와 같이 복잡한 데이터를 분류 및 인식하는데 유용한 방법으로 딥러닝 기법의 정확도는 딥러닝이 인터넷상의 AI 기반의 서비스를 유용하게 하는데 기초가 되었다. 그러나 딥러닝에서 훈련에 사용되는 방대한 양의 사용자 데이터는 사생활 침해 문제를 야기하였고 사진이나 보이스와 같이 사용자이 개인적이고 민감한 데이터를 수집한 기업들이 데이터들을 무기한으로 소유한다. 사용자들은 자신의 데이터를 삭제할 수 없고 사용되는 목적도 제한할 수 없다. 예를 들면, 환자 진료기록에 대한 딥러닝 기술을 적용하기 원하는 의료기관들과 같은 데이터소유자들은 사생활과 기밀유지 문제로 환자의 데이터를 공유할 수 없고 딥러닝 기술의 혜택을 받기 어렵다. 우리는 멀티 파티 시스템에서 다수의 작업자들이 입력 데이터집합을 공유하지 않고 신경망 모델을 공동으로 사용할 수 있는 프라이버시 보존 기술을 적용한 딥러닝 방법을 설계한다. 변형된 확률적 경사 하강에 기초한 최적화 알고리즘을 이용하여 하위 집합을 선택적으로 공유할 수 있는 방법을 이용하였고 결과적으로 개인정보를 보호하면서 학습 정확도를 증가시킨 학습을 할 수 있도록 하였다.

농업 분야 국가 R&D 기술이전 사업화 성공 요인 분석 (A Study on the Success Factors of National R&D Commercialization in Agriculture)

  • 송영헌;이정인;김준기;황의웅;엄인용
    • 산업경영시스템학회지
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    • 제46권3호
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    • pp.41-58
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    • 2023
  • This study identifies the commercialization success factors that can be an important indicator for the transfer and commercialization of national R&D results in the agricultural sector. Unlike other industries, the agricultural sector has a non-systematically scaled and processed industrial structure, and R&D is led by government rather than the private sector. Although the quantitative performance of national agricultural R&D, especially the number of patents and publications, has increased rapidly with the quantitative expansion of the government R&D budget, the technology commercialization of the results of agricultural R&D has been accompanied by difficulties for SMEs. Therefore, this study summarized the success factors for commercialization of state-owned technologies presented in previous studies, and based on them, analysed the success factors for commercialization specific to the agricultural sector. It also conducted a questionnaire survey using Delphi and focus group interviews (FGI) with experts from academia, research and industry, and a survey of agricultural companies to derive success factors for commercialization in the agricultural sector using logistic regression analysis. As a result, five indicators with positive correlation and three indicators with negative correlation within technology characteristics, suppliers, adopters, policy and market factors were finally derived as key factors for agricultural commercialization. In the future, it is expected that independent factor analysis of the food and seed sectors, which have independent industry characteristics from the agricultural sector, will be needed.

한국 RE100 기업의 자가소비 태양광 발전 경제적 비율 분석 (Self-Consumption Solar PV Economic Rate Analysis for RE100 Companies in Korea)

  • 이종의;김경남
    • Current Photovoltaic Research
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    • 제11권4호
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    • pp.134-143
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    • 2023
  • Efforts are being made to respond to global warming. Interest in and demand for the private sector-led RE100 campaign is also increasing. Self-built solar power generation, one of the implementation tools for RE100, is not expanding. However, it can be an economical means of implementation in the long run. In this study, we intend to analyze the impact on the optimal ratio of self-solar power generation using HOMER simulation. OPR defines the optimal solar power generation ratio and looks into what changes there are in the optimal solar power ratio when self-power consumption increases and external power purchase price changes. As a result, the optimal rate of self-solar power generation has a low impact even if self-power consumption increases. As the external power unit price increases, the optimal ratio increases, and at a power unit price of 100 KRW/kWh, OPR is 24%; at 200 KRW/kWh OPR is 31%; and at 300 KRW/kWh OPR is 34%. This shows that the electricity price replaced during the life cycle has a high impact on the economic feasibility of solar power generation. However, when the external power unit price reached a certain level, the increase in OPR decreased. This shows that it is difficult for domestic companies to achieve RE100 based on the economic feasibility of solar energy alone. Therefore, efforts are needed to supply renewable energy in the public sector.

국내 가계대출의 특징과 결정요인 분석: COVID-19를 중심으로 (Analysis of Characteristics and Determinants of Household Loans in Korea: Focusing on COVID-19)

  • 장진희;홍재범;최승두
    • 아태비즈니스연구
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    • 제14권2호
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    • pp.51-61
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    • 2023
  • Purpose - Since COVID-19, the government's expansion of liquidity to stimulate the economy has resulted in an increase in private debt and an increase in asset prices of such as real estate and stocks. The recent sharp rise of the US Federal fund rate and tapering by the Fed have led to a fast rise in domestic interest rates, putting a heavy burden on the Korean economy, where the level of household debt is very high. Excessive household debt might have negative effects on the economy, such as shrinking consumption, economic recession, and deepening economic inequality. Therefore, now more than ever, it is necessary to identify the causes of the increase in household debt. Design/methodology/approach - Main methodology is regression analysis. Dependent variable is household loans from depository institutions. Independent variables are consumer price index, unemployment rate, household loan interest rate, housing sales price index, and composite stock price index. The sample periods are from 2017 to May 2022, comprising 72 months of data. The comparative analysis period before and after COVID-19 is from January 2017 to December 2019 for the pre-COVID-19 period, and from Jan 2020 to December 2022 for the post-COVID-19 period. Findings - Looking at the results of the regression analysis for the entire period, it was found that increases in the consumer price index, unemployment rate, and household loan interest rates decrease household loans, while increases in the housing sales price index increase household loans. Research implications or Originality - Household loans of depository institutions are mainly made up of high-credit and high-income borrowers with good repayment ability, so the risk of the financial system is low. As household loans are closely linked to the real estate market, the risk of household loan defaults may increase if real estate prices fall sharply.

건축 기획설계 자동화 기술개발 우선순위 도출에 관한 연구 - 건축설계 사무소 실무자 설문 조사에 기초하여 - (A Study on the Development Priority of Automation Technology for Architectural Planning and Design - Based on the Survey Architectural Design Office - )

  • 문성완;양승원;김성아
    • 한국BIM학회 논문집
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    • 제13권4호
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    • pp.1-12
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    • 2023
  • In Korea, there are many attempts to automate architectural design tasks, focusing on government-led national R&D projects and private operators, in order to enhance global competitiveness and productivity of the building service industry. However, according to a survey of architectural design office practitioners, only 25% (9 out of 37) have used it, suggesting that there are fewer cases of practical use in the field compared to research and investment in automation technology development, and there are discrepancies between automation and technology development items required in the field. In this study, the priority of automation of planning and design work of architectural design office practitioners is derived, and a comparative analysis is conducted with domestic architectural design automation service items based on the priority. A survey was conducted on practitioners of domestic architectural design offices to derive automation priorities for 19 items of architectural planning and design work. Based on the derived priorities, the degree of reflection of the working-level automation needs of domestic services was confirmed by comparing them with the domestic architectural planning and design automation service items. As a result, it was confirmed that domestic architectural planning and design automation services did not properly reflect the priority of planning and design work automation of architectural design office practitioners. This suggests that it is necessary to reflect the priorities derived in this study in technology development in order to increase the cases of practical use of the automation technology in the working environment and improve the productivity of service.

<전주지도>에 표현된 조선 후기 전주부성의 식생경관상 (A Study on the Characteristics of Vegetation Landscape of Fortress of Jeonju District in Represented on the )

  • 강인애;노재현
    • 한국전통조경학회지
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    • 제36권2호
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    • pp.1-10
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    • 2018
  • 본 연구는 조선 후기 전주부성을 그린 <전주지도>에 나타난 식생경관을 활용하여 역사도시 전주의 도시정체성 확보방안을 모색하는 기초연구로서의 성격을 지닌다. 조선 후기 전주의 도시 이미지 형성을 주도했던 지도상의 식생경관적 특성을 파악하는 한편 식생을 활용한 경관 모티브 및 구성체계를 도출해 보고자 하는 목적으로 시도되었다. <전주지도>의 분석을 통해서 도출된 조선 후기 전주부의 식생경관 특성은 다음과 같이 요약된다. 첫째, 전주부성의 식재경관 구성체계는 크게 부성 주변 자연형 식재를 토대로, 거점시설물과 연계한 독립식재와 군집식재, 지형특성과 어우러져 형성된 군집식재, 민가와 어우러진 텃밭과 마당식재가 통합되어 형성된 면형 식재경관으로 구성되어 있다. 둘째, 지역수종을 활용한 깃대종의 식생경관을 특화하였다. 조선 후기 전주는 복사나무가 만개한 도화경(桃花景)의 별천지였으며 오얏나무, 매화, 살구나무, 이팝나무 등이 가득한 꽃대궐이었다. 셋째, 산지와 어우러진 자연형 식재경관요소와 군집을 이루는 민가정원형 식재경관을 배경으로 거점시설물을 중심으로 형성된 정원형 식재 등이 전주부성 식생경관을 지배하고 있다. 넷째로 지형특성상의 결함을 보완하기 위하여 조성된 비보형 식생군락지가 중요한 식재경관요소로 강조되고 있다. 다섯째로 지형특성을 고려한 생태적 식생경관을 형성하고 있다. <전주지도>를 중심으로 도출되는 전주부성의 식생경관 특성은 전주의 경관성을 회복, 재현하는데 중요한 의미를 지니고 있다. 특히 지형특성과 어우러진 비보적 개념의 식생군락지, 지형과 조화되는 생태형 식재경관 형성수법, 민가와 어우러진 민가정원형 식재경관, 지역성을 반영한 도화경의 경관 조성 등은 18C 후반 전주지도를 통해 발견한 전주부성의 특화된 경관상(景觀相)이다.