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Study on the development of automatic translation service system for Korean astronomical classics by artificial intelligence - Focused on system analysis and design step (천문 고문헌 특화 인공지능 자동번역 서비스 시스템 개발 연구 - 시스템 요구사항 분석 및 설계 위주)

  • Seo, Yoon Kyung;Kim, Sang Hyuk;Ahn, Young Sook;Choi, Go-Eun;Choi, Young Sil;Baik, Hangi;Sun, Bo Min;Kim, Hyun Jin;Lee, Sahng Woon
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.62.2-62.2
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    • 2019
  • 한국의 고천문 자료는 삼국시대 이후 근대 조선까지 다수가 존재하여 세계적으로 드문 기록 문화를 보유하고 있으나, 한문 번역이 많이 이루어지지 않아 학술적 활용이 활발하지 못한 상태이다. 고문헌의 한문 문장 번역은 전문인력의 수작업에 의존하는 만큼 소요 시간이 길기에 투자대비 효율성이 떨어지는 편이다. 이에 최근 여러 분야에서 응용되는 인공지능의 적용을 대안으로 삼을 수 있으며, 초벌 번역 수준일지라도 자동번역기의 개발은 유용한 학술도구가 될 수 있다. 한국천문연구원은 한국정보화진흥원이 주관하는 2019년도 Information and Communication Technology 기반 공공서비스 촉진사업에 한국고전번역원과 공동 참여하여 인공신경망 기계학습이 적용된 고문헌 자동번역모델을 개발하고자 한다. 이 연구는 고천문 도메인에 특화된 인공지능 기계학습 기법으로 자동번역모델을 개발하여 이를 서비스하는 것을 목적으로 한다. 연구 방법은 크게 4가지 개발을 진행하는 것으로 나누어 볼 수 있다. 첫째, 인공지능의 학습 데이터에 해당되는 '코퍼스'를 구축하는 것이다. 이는 고문헌의 한자 원문과 한글 번역문이 쌍을 이루도록 만들어 줌으로써 학습에 최적화한 데이터를 최소 6만 개 이상 추출하는 것이다. 둘째, 추출된 학습 데이터 코퍼스를 다양한 인공지능 기계학습 기법에 적용하여 천문 분야 특수고전 도메인에 특화된 자동번역 모델을 생성하는 것이다. 셋째, 클라우드 기반에서 참여 기관별로 소장한 고문헌을 자동 번역 모델에 기반하여 도메인 특화된 모델로 도출 및 활용할 수 있는 대기관 서비스 플랫폼 구축이다. 넷째, 개발된 자동 번역기의 대국민 개방을 위해 웹과 모바일 메신저를 통해 자동 번역 서비스를 클라우드 기반으로 구축하는 것이다. 이 연구는 시스템 요구사항 분석과 정의를 바탕으로 설계가 진행 또는 일부 완료되어 구현 중에 있다. 추후 이 연구의 성능 평가는 자동번역모델 평가와 응용시스템 시험으로 나누어 진행된다. 자동번역모델은 평가용 테스트셋에 의한 자동 평가와 전문가에 의한 휴먼 평가에 따라 모델의 품질을 수치로 측정할 수 있다. 또한 응용시스템 시험은 소프트웨어 방법론의 개발 단계별 테스트를 적용한다. 이 연구를 통해 고천문 분야가 인공지능 자동번역 확산 플랫폼 시범의 첫 케이스라는 점에서 의의가 있다. 즉, 클라우드 기반으로 시스템을 구축함으로써 상대적으로 적은 초기 비용을 투자하여 활용성이 높은 한문 문장 자동 번역기라는 연구 인프라를 확보하는 첫 적용 학문 분야이다. 향후 이를 활용한 고천문 분야 학술 활동이 더욱 활발해질 것을 기대해 볼 수 있다.

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What We Want for Virtual Humans: Classification of Consumer Expectation Value on Virtual Influencer by Age Based on Q-methodology (가상 인간에 대한 우리들이 원하는 모습: Q방법론을 기반으로 한 연령대에 따른 소비자 기대 가치 분류)

  • Ji-Chan Yun;Do-Hyung Park
    • Knowledge Management Research
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    • v.24 no.2
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    • pp.137-159
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    • 2023
  • This study focuses on consumers' perceptions of virtual influencers, which many companies recently used for marketing. This study uses the Q methodology to derive what kind of perception consumers have about virtual influencers who work with various appearances, background stories, and worldviews as components. In addition, we want to see how the expected value of virtual influencers differs by age group. To this end, 34 statements were produced through preliminary interviews and literature reviews. This study showed that some consumers preferred appearances similar to humans, despite recognizing that virtual influencers are fictional characters. Some other consumers preferred to feel like a fictional character by maintaining virtuality, confirming that there are both opposite consumers. In addition, consumers expect virtual influencers to have consistency and expertise in the content field covered, and some consumers do not prefer to show an overly commercial appearance. This study will likely provide implications for companies that want to utilize virtual influencers in considering which ones to use for target customers in marketing activities.

Comparing the Service Coverages of Subways and Buses and Estimating the Walking Distances of Their Users (지하철과 버스의 서비스권역 비교 및 이용자들의 도보거리 추정 - 부산시를 중심으로 -)

  • Kim, Kyung Whan;Lee, Deok Hwan;Choi, Jong Moon;Oh, Il Sung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.6D
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    • pp.541-552
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    • 2010
  • The light rail transit (LRT) having bus lines as subsystem is being constructed or planned in the suburban area of metropolitans and medium size cities. However, there is difficulty in establishing the service coverage (SC) of the LRT because the LRT is a completely new transit mode in Korea. The purpose of this study is to provide the basic data and techniques to be used for establishing the SC of the future LRT by understanding the SC characteristics of buses and subways and building models to estimate the walking distances of their users. Busan City is selected as the study city and the SC's of buses and subways are surveyed simultaneously. A total of 9 variables for 82 stations are collected and the cluster analysis is conducted about the variables. The station areas are divided to three types of CBD (Central Business District), sub-CBD and regional center based on the analysis. A station in each area is selected as the study station. At the walking distance (WD) analysis for each mode, the 80 percentile WD of the subway is 672 m and that of the bus is 472 m. In comparing the SC's of both modes by the type of station areas, there are not significant differences between the SC's of sub-CBD and regional center except CBD. At analysis of the relationship between the personal attributes and the WD, for subway users the WD of female is longer than that of male and apartment residents use subway more positively than single house residents do. For the models to estimate the walking distances, the simple regression models were built employing the income as independent variable by dividing the stations into CBD abd non-CBD stations.

An Analysis on Indicators of Water Taxi User Service in Seoul Using Importance Performance Analysis (IPA) (중요도-만족도 분석을 활용한 서울시 수상택시 이용자 서비스지표 분석)

  • Kim, Tae Ho;Ha, Jong Moon;Lim, Jong Moon;Park, Je Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.5D
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    • pp.587-595
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    • 2009
  • Since October 11th, 2007, water taxi service in Han River has been operated for commuting and sightseeing. However, it is less popularized than expected because of economical problem and accessibility. Therefore, this paper develops service estimation items for water taxi based upon literature review on public transportation. It also conducts survey questionnaire and IPA (Importance Performance Analysis) Analysis to analyze service characteristics of water taxi users and provide several implications. The results are follows: First, economical problem should be solved out as showed in the 'main improvement' item. Second, accessibility, informativeness and convenience in the 'required improvement' item, and security and punctuality in the 'keep up the good work' item are presented. Third, kindness and soundness are showed in the 'the maintenance of current situation' item. All in all, if municipal considers economical problem, accessibility, informativeness, and convenience as it improves water tax service, it will make it possible to attract more water taxi users.

Effect of Water Management on Greenhouse Gas Emissions from Rice Paddies Using a Slow-release Fertilizer (완효성 비료를 시용한 논에서의 물관리에 따른 온실가스 배출량 평가)

  • Eun-Bin Jang;Hyun-Chul Jeong;Hyo-Suk Gwon;Hyoung-Seok Lee;Hye-Ran Park;Jong-Mun Lee;Taek-Keun Oh;Sun-Il Lee
    • Korean Journal of Environmental Agriculture
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    • v.42 no.2
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    • pp.112-120
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    • 2023
  • Methane (CH4) and nitrous oxide (N2O) are significant contributors to greenhouse gas (GHG) emissions from rice fields. Mid-summer drainage is a commonly practiced water management technique that reduces CH4 emissions from rice fields. Slow-release fertilizers gradually release nutrients over an extended period and have been shown to reduce N2O emissions. However, the combined effect of slow-release fertilizer and water management on GHG emissions remains unclear. This study compared GHG emissions from a rice paddy subjected to mid-summer drainage for 10 days (control) with that of a rice paddy subjected to prolonged mid-summer drainage for 20 days combined with slow-release fertilizer (W+S). Gas sampling was conducted weekly using a closed chamber method. During the rice cultivation period, cumulative CH4 and N2O emissions were reduced by 12.3% and 16.2%, respectively, in the W+S treatment compared to the control. Moreover, the W+S treatment exhibited a 1.9% increase in grain yield compared to the control. Under experimental conditions, slow-release fertilizers, in combination with prolonged mid-summer drainage, proved to be the optimal approach for achieving high crop yield while reducing GHG emissions. This represents an effective strategy to mitigate GHG emissions from rice paddy fields.

The Impact of Service Quality of Franchise Coffee Shop' s on Affective Commitment and Repurchase Intentions (프랜차이즈 커피전문점의 서비스품질이 정서적 몰입과 재구매의도에 미치는 영향 - 수도권 지역 대학생을 중심으로 -)

  • Ju, Yoon-Hwang;Lee, Young-Chul;Yang, Hoe-Chang
    • The Korean Journal of Franchise Management
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    • v.3 no.1
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    • pp.46-72
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    • 2012
  • Currently, the service industry share in domestic industry is increasing. Especially the size and marketability of the food service industry, which satisfies with basic human desire, is growing significantly. In this food industry, the coffee industry is recognized as a different area from the traditional food industry. The age of instant coffee at low price has gone. Today, more and more customers want to drink more delicious coffee and coffee that is good to their bodies. Especially as individualism has been rambling, more and more people enjoy individualism and want their personal space. This is why coffee speciality stores have been universalized. Also, as coffee speciality stores have been generalized, their own service quality is necessary and they should satisfy and affirm their loyalty to the customers in line with the enhancement of service quality. The purpose of this research is understanding of the impact of coffee specialty shop's service quality on affective commitment and repurchase intentions. The results of an empirical study in this research are as follows: First, compassion among the execution factors of coffee specialty shop's quality has a positive effect on both of affective commitment. But typicality and reactivity don't. Second, affective commitment have a positive effect on repurchase intentions. With a base of the above research result, we should comprehend that another service quality factor exists compared to other dining-out industry and establish marketing strategies in order to contribute to enhance repurchase intentions for the customers.

Big data analysis on NAVER Smart Store and Proposal for Sustainable Growth Plan for Small Business Online Shopping Mall (네이버 스마트스토어에 대한 빅데이터 분석 및 소상공인 온라인쇼핑몰 지속성장 방안 제안)

  • Hyeon-Moon Chang;Seon-Ju Kim;Chae-Woon Kim;Ji-Il Seo;Kyung-Ho Lee
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.153-172
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    • 2022
  • Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.

A Multi-Degree of Freedom Measurement System for Determining Geometric Errors in Miniaturized Machine Tool (소형공작기계의 기하학적 오차 평가를 위한 다자유도 측정시스템)

  • S. H., Kweon;Y., Liu;S. H., Yang
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.638-643
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    • 2004
  • 소형화된 기계가공시스템은 사용재료의 다양화와 에너지 및 공간의 감소와 같은 장점을 가지고 작고 정밀한 부품을 가공할 수 있는 시스템으로 주목받고 있다. 이러한 시스템이 비록 그 크기가 일반적인 가공시스템에 비해 작지만 정렬 및 조립공정, 기계요소의 불완정성에 의한 기하학적 오차는 여전히 존재한다. 기하학적 오차 평가는 기계시스템의 정밀도를 효과적으로 적은 비용으로 향상시킬 수 있는 오차보정기술을 적용할 수 있는 토대가 된다. 일반적으로, 3 축의 직선축으로 이루어진 공작기계는 21 개의 오차요소를 가진다. 레이져간섭계는 이러한 오차요소를 평가하는데 널리 사용되고 있지만 광학계를 정렬하고 설치하는 데 많은 어려움이 있으며 한번의 설치로 한 개의 오차요소만이 측정 가능하다. 또한, 소형공작기계의 경우, 그 크기로 인해 기존의 레이져 간섭계를 직접적으로 적용할 수 없다. 따라서, 본 연구에서는 소형공작기계를 포함한 소형가공시스템의 기하학적 오차 평가를 위한 새로운 다자유도 측정시스템을 제안하였다. 5 개의 정전용량변위센서를 사용하는 이 시스템을 통해 한 축의 움직임에 따른 5 개의 오차요소를 동시에 측정 가능하다. 균질 변환행렬을 이용한 측정알고리듬을 구성하고 이를 모의시험을 통해 평가하였다. 수학적 모델링을 통해 각 센서의 출력값을 유도하고 이를 이용하여 각 오차요소를 계산하기 위한 식을 유도하였다. 여기서, 단순화된 식을 적용한 경우, 임의의 오차에 대한 측정 알고리듬의 정확도를 평가하였다. 또한, 측정 시스템의 설치시 발생하는 셋업오차에 대한 측정 알고리듬의 민감도 분석을 행하였다. 제안하는 측정 시스템은 구조가 간단하고 고가의 부가장비가 필요치 않다. 또한, 적은 비용으로 구성할 수 있으며 높은 측정 정밀도를 가지고 소형가공시스템에 필요한 오차 평가를 행할 수 있다.가 함유된 계란을 생산하고 섭취하였을 때 특정항체들의 결합을 통해 병원성 미생물의 성장이나 군체를 형성하는 것을 무력화시켜 결과적으로 병원균을 감소시키거나 억제시킨다는 점이다. 오늘날 약물에 내성을 지닌 박테리아의 출현으로 질병감염을 막는데 항생제의 사용효과가 점차 감소하고 있기 때문에 이러한 항생제를 대체할 수 있는 방안으로 계란항체를 이용할 수 있다.한 중공 플랜지 형상의 단조 방법 중 보다 적절한 단조방법인 압조 단조에 있어서 일반적으로 사용되고 있는 SM10C에 대한 유한요소 해석을 수행하였으며, 제품의 형상비에 따라 폴딩 결함의 발생 유무를 검토하고, 폴딩 결함 없이 단조하기 위한 중공 플랜지의 형상한계 비를 제시하였다.도 경미하게 나타났으나, 경련이 나타난 쥐에서는 KA만을 투여한 흰쥐와 구별되지 않았다. 이상의 APT의 항산화 효과는 KA로 인한 뇌세포 변성 개선에 중요한 인자로 작용할 것으로 사료되나, 보다 명확한 APT의 기전을 검색하고 직접 임상에 응응하기 위하여는 보다 다양한 실험 조건이 보완되어야 찰 것으로 생각된다. 항우울약들의 항혈소판작용은 PKC-기질인 41-43 kD와 20 kD의 인산화를 억제함에 기인되는 것으로 사료된다.다. 것으로 사료된다.다.바와 같이 MCl에서 작은 Dv 값을 갖는데, 이것은 CdCl$_{4}$$^{2-}$ 착이온을 형성하거나 ZnCl$_{4}$$^{2-}$ , ZnCl$_{3}$$^{-}$같은 이온과 MgCl$^{+}$, MgCl$_{2}$같은 이온종을 형성하기 때문인것 같다. 한편 어떠한 용리액에서던지 NH$_{4}$$^{+}$의 경

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A Study on the Second Frame in Film <The Power of The Dog> -Focusing on Iconology by Panofsky (영화 <파워 오브 도그>의 이차 프레임 연구 - 파노프스키 도상해석학을 중심으로)

  • Jia Xinyue
    • Smart Media Journal
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    • v.12 no.1
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    • pp.102-111
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    • 2023
  • As one of the image symbols, the second frame has rich symbolic metaphor. In previous studies, second frames are mostly presented in physical forms such as doors, windows, but in <The Power of the Dog>, there are various forms of second frames, providing more types for the study of second frames. Panofsky's Iconology has put forward a rigorous research method on how to interpret the meaning of image symbols in the picture. This study aims to use Panofsky's Iconology to analyze the second frame in <the Power of the dog>. The purpose is to expand the methodology of film image research and break through the problem that the Iconology analysis of film image stays in narrative analysis (iconographical analysis). It can be seen from the results of this study that the second frame has different visual presentation according to the requirements of narrative. In the narrative of the film, it symbolizes the depressed tone of the film and the stressful relationship between different characters. What director Campion wants to show through the second frame is that in the film industry where the problem of women is getting better, the motif of feminist film creation has changed from the expression of female appeals in binary opposition to the expression of the appeals of diverse groups in "decentralization."

Automatic Electronic Medical Record Generation System using Speech Recognition and Natural Language Processing Deep Learning (음성인식과 자연어 처리 딥러닝을 통한 전자의무기록자동 생성 시스템)

  • Hyeon-kon Son;Gi-hwan Ryu
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.731-736
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    • 2023
  • Recently, the medical field has been applying mandatory Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) systems that computerize and manage medical records, and distributing them throughout the entire medical industry to utilize patients' past medical records for additional medical procedures. However, the conversations between medical professionals and patients that occur during general medical consultations and counseling sessions are not separately recorded or stored, so additional important patient information cannot be efficiently utilized. Therefore, we propose an electronic medical record system that uses speech recognition and natural language processing deep learning to store conversations between medical professionals and patients in text form, automatically extracts and summarizes important medical consultation information, and generates electronic medical records. The system acquires text information through the recognition process of medical professionals and patients' medical consultation content. The acquired text is then divided into multiple sentences, and the importance of multiple keywords included in the generated sentences is calculated. Based on the calculated importance, the system ranks multiple sentences and summarizes them to create the final electronic medical record data. The proposed system's performance is verified to be excellent through quantitative analysis.