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An Analysis on the Occupational Index Status and Prospect Perception to Librarian as Job in South Korea (사서직의 직업지표 현황 및 전망 인식 분석 연구)

  • Lee, Jong-Moon
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.3
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    • pp.99-120
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    • 2013
  • This study aimed to propose the approach to identify and solve the problems by analyzing the present occupation index of librarians and the future occupation index of librarians after 10 years through the comparison with other jobs. In accordance with the investigation on the LIS students and librarians, the present wage level and the estimated wage level after 10 years were lower than that for other jobs and the employment demand was also lower. Both the students(58.4%) and the librarians(64.2%) considered that the number of full-time employment and the turnover were lower than other jobs. As a result of the analysis, first, this paper proposed to change part-time workers into full-time workers for improving the low wage issue of librarians. Second, '1 public library per 50,000 citizen' was suggested to increase the employment of librarians. Finally, it is proposed to cancel the project to contract out the operation of public libraries and BTL implementation.

Analysis of Patent Trends for Body Size Measurement Technology (신체 치수 측정기술 특허 동향 분석)

  • Jeon, Young-Ju;So, Ji-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.5
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    • pp.209-213
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    • 2021
  • For the human body shape information, body measurement techniques using a tape measure or image analysis are used. However, there is a demand for a method with high measurement accuracy and reproducibility while being simple. In this paper, domestic and foreign patent research related to body size measurement technology was conducted to identify the development trend of the related technology. WISDOMAIN DB was used to search for patents published in Korea, the United States, Japan, and Europe, and valid patents were derived by defining the technical scope of major and medium classifications and sub-categories. For the derived patents, patent trends by year, major applicants by country, and the status of technological fields were analyzed. In the field of body size measurement technology, the proportion of patent applications filed in Korea is high, indicating that Korea is leading the patent application in this field. Although the number of patent applications in the field of sensor-type measurement technology was not large, it has an advantage in measurement simplicity, so the development of related technology is expected to contribute to the improvement of measurement accuracy related to body composition analysis.

An Analysis of Interior Color of Experience Yachts : Focused on 40ft Yachts (체험형 요트 실내공간의 색채분석 : 40ft급 요트를 중심으로)

  • Cho, Joung-Hyung
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.125-130
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    • 2020
  • The Korean maritime industry is growing rapidly as income levels rise. In particular, the domestic yacht market is generating steady market demand, which is a good opportunity for users who want to enjoy leisure. Among them, the experience-type yacht is operated smoothly around Suyeong Bay in Busan. In this study, a survey of experienced yacht users conducted an analysis focusing on color as much as the interior structure. The colors you experience when you stay in a specific space for a short time have a significant impact on the user's satisfaction and sensibility. Often, systematic research into space is often focused on physical distribution. However, color leaves a strong impression on short experiences as much information as it accepts through the optic nerve. A survey of yacht passengers was conducted to derive appropriate adjectives, and the results were obtained after analyzing them by means of I.R.I monochrome and image scale. Afterwards, it is expected that this research will be used as a theoretical basic data that can be used to carry out the production, repair, and repair of hands-on yachts that are developed on their own.

A Suggestion and an analysis on Changes on trend of the 'Virtual Tourism' before and after the Covid 19 Crisis using Textmining Method (텍스트 마이닝을 활용한 '가상관광'의 코로나19 전후 트렌드 분석 및 방향성 제언)

  • Sung, Yun-A
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.155-161
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    • 2022
  • The outbreak of the Covid 19 increased the interest on the 'Virtual Tourism. In this research the key word related to "Virtual Tourism" was collected through the search engine and was analyzed through the data mining method such as Log-odds ratio, Frequency, and network analysis. It is clear that the information and communication dependency increased in the field of "Virtual Tourism" after Covid 19 and also the trend have changed from "securement of the contents diversity" to "project related to economic recovery." Since the demands for the "Virtual Reality" such as metaverse is increasing, there should be an economic and circular structure in which the government establishing a related policy and the funding plan based on the research, local government and the private companies planning and producing discriminate contents focusing on AISAS(Attension, Interest, Search, Action, Share) aand the research institutions and universities developing, applying, assessing and commercializing the technology.

Development of Demand Prediction Model for Video Contents Using Digital Big Data (디지털 빅데이터를 이용한 영상컨텐츠 수요예측모형 개발)

  • Song, Min-Gu
    • Journal of Industrial Convergence
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    • v.20 no.4
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    • pp.31-37
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    • 2022
  • Research on what factors affect the success of the movie market is very important for reducing risks in related industries and developing the movie industry. In this study, in order to find out the degree of correlation of independent variables that affect movie performance, a survey was conducted on film experts using the AHP method and the importance of each measurement factor was evaluated. In addition, we hypothesized that factors derived from big data related to search portals and SNS will affect the success of movies due to the increase in the spread and use of smart phones. And a prediction model that reflects both the expert survey information and big data mentioned above was proposed. In order to check the accuracy of the prediction of the proposed model, it was confirmed that it was improved (10.5%) compared to the existing model as a result of verification with real data.Therefore, it is judged that the proposed model will be helpful in decision-making of film production companies and distributors.

A Study on 3D Tunnel Data Model for Integrated Map of Underground Spaces (지하공간통합지도의 3차원 터널 데이터 모델에 관한 연구)

  • Lee, Ji Yeon;Ryu, Ji Hui;Jeong, Da Woon;Ahn, Jong Wook
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.371-380
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    • 2021
  • This study aims to design a tunnel part model for underpass and subway lines that correspond to tunnel sector among the underground facilities(structure types) covered in the integrated map of underground spaces. For this purpose, we compared and reviewed the characteristics of international standards related to tunnel data models. As a result, it was found that CityGML 3.0 - Tunnel module was the most suitable for designing a 3D tunnel data model. Afterwards we reviewed the legal and institutional regulations to derive the standard elements of the 3D tunnel data model. Then we conducted a demand survey targeting experts in related fields to derive standard elements for addition and extension of underpasses and subway lines. Based on the above process, we designed and presented a 3D tunnel data model using UML. This study is expected to be meaningful as a basic study to improve the utilization of tunnel model in the integrated map of underground spaces.

Analysis of Podcast User Behaviors and Classification of Users (팟캐스트 콘텐츠 이용자 행태분석 및 유형 파악)

  • Kang, Minjeong
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.94-104
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    • 2022
  • As the audio content market grows due to the spread of the AI speaker market and the influence of connected cars, the demand for podcast service is increasing. Therefore, in this study, the behaviors of podcast users were identified and the user types were classified. In the background study, podcast usage motives and user types were studied, and they were referred to when making the questionnaire. In the survey, preferred audio content was identified according to the situation, and in the in-depth interview, the user type and insights were derived by identifying the audio service usage behavior. As a result of the survey, there was little difference between preferred content for single listening and multitasking, but the difference in preferred content according to time period was statistically significant. The three user types derived from the in-depth interview were divided into users who listen alone for the purpose of study, find and listen to useful information quickly while on the go, and multitask and listen to the light and comfortable contents. It is expected that the results of this study will be an important reference for designing an audio content platform to improve user experience.

The Effect of OTT Characteristics on Perceived Value, User Satisfaction and Continuous Use Intention in OTT: Focusing on the Moderating Effect of Hedonic Innovativeness (OTT 특성이 지각된 가치, 사용자만족 및 OTT 지속이용의도에 미치는 영향 - 쾌락적 혁신성 조절효과를 중심으로)

  • Park, Hyunsun;Kim, Sanghyun;Sohn, Changyong
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.169-180
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    • 2022
  • As people spend more time indoors due to the COVID-19 pandemic situation, content consumption is increasing, leading to the rapid demand for Over The Top(OTT) services. Thus, this study attempted to verify impacts of OTT traits on the value, satisfaction, and continuous use intention perceived by users. Through the survey, 437 responses were collected, and analysis was conducted using AMOS 26.0. Results found that the traits of OTT service had a positive effect on perceived value that had a positive effect on user satisfaction and continuous use intention. User satisfaction was also found to have a positive effect on the intention to continue using OTT services. Moreover, hedonic innovation moderated the relationships between OTT traits and perceived value with exception of ubiquity. The findings provide valuable information for OTT service providers in understading users' behaviors.

Research on Agricultural Automated Water Management Project with 4th industrial Technology (4차산업기술이 적용된 농업용수관리자동화사업 연구)

  • Yang, Yong Seok;KANG, Seung Mook;KIM, Kyoung Soo;PARK, Jong Hun;LEE, Joo Yong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.344-344
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    • 2020
  • 기후변화 가속화와 국민의 높아진 서비스 요구 수준에 따라 농업용수의 관리방식을 현장인력의 경험적 물관리 방식에서 계측정보 기반의 과락적 물관리 방식으로 전환의 필요성이 대두되어, 2001년부터 농업기반시설 내 무인계측, 원격제어 기능이 탑재된 물관리자동화 시스템을 보급하는 농업용수관리자동화사업을 시행하였다. 농업용수관리자동화사업은 사업시행 초기 연구 결과, 농업기반시설 무인계측 및 원격제어 시스템 보급으로 인력에 의한 관행적 물관리 대비 수리시설의 관리 효율성이 크게 향상되어 유지관리 인력의 절감 및 용수수급의 적정성이 개선될 것으로 분석되었다. 하지만 영농환경의 변화에 따라, 당초 분석결과와 달리 자동화사업 추진과 한국농어촌공사의 유지관리 인력 규모 간 뚜렷한 상관성이 보이지 않는다는 정책기관의 지적이 발생하고 있다. 현재 4차산업기술이 산업 전 분야에 걸쳐 일어나고 있으며 농업분야에도 ICT, LOT, 빅데이터 기술이 도입되어 새로운 가치를 창출하고 있다. 농업용수관리 분야에 있어서는 데이터를 활요한 수요자 중심의 지능형 물관리 사업이 추진되고 있으며, 일정규모 이상 저수지 및 양수장 농업용수 공급량 측정 계측기의 설치가 추진중에 있다. 그러나 현재까지 이러한 설치된 계측장치들의 활용방안에 대해서는 뚜렷한 결과가 도축된 바 없으며, 현재 많은 예산과 인력이 투입되어 설치·운영되고 있는 계측장치들의 활용 방안에 대해서 연구가 필요한 실정이다. 2018년 2,228개 농업기반시설물에 자동화시스템을 설치 완료 하였으나, 각종 장비의 비표준화, 효과대비 고비용, 잦은 통신두절 등의 기술적 문제로 인해 현업부서의 수자원관리 업무에서 자동화시스템의 활용성이 저조한 것으로 관측됐다. 본연구에서는 국내 수자원 계측제어 기술 동향 및 운영환경 조사 결과를 기초로, 기술적 측면의 농업용수관리자동화사업의 개선사항과 4차 산업기술의 농업용수관리자동화사업의 적용방안을 제시 하여 농업용수관리자동화사업 중장기 계획 개정등 향후 정챡수립시 참고 자료로의 활용과 농업용수 효율적 활용과 관리를 위한 TM/TC 미래추진 방안을 제시로 정확하고 신뢰도 높은 농업용수 관리 체계를 구축 하고자 한다.

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Entity Embeddings for Enhancing Feasible and Diverse Population Synthesis in a Deep Generative Models (심층 생성모델 기반 합성인구 생성 성능 향상을 위한 개체 임베딩 분석연구)

  • Donghyun Kwon;Taeho Oh;Seungmo Yoo;Heechan Kang
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.17-31
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    • 2023
  • An activity-based model requires detailed population information to model individual travel behavior in a disaggregated manner. The recent innovative approach developed deep generative models with novel regularization terms that improves fidelity and diversity for population synthesis. Since the method relies on measuring the distance between distribution boundaries of the sample data and the generated sample, it is crucial to obtain well-defined continuous representation from the discretized dataset. Therefore, we propose an improved entity embedding models to enhance the performance of the regularization terms, which indirectly supports the synthesis in terms of feasible and diverse populations. Our results show a 28.87% improvement in the F1 score compared to the baseline method.