• Title/Summary/Keyword: 산업 융합

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Manufacturing Innovation Trends for Flagship Industries Intellectualization (주력산업 지능화를 위한 제조 혁신 기술 동향)

  • H.K. Kim;J.M. Kim;D.K. Shon;Y.S. Hwang;T.H. Yoon;H.K. Choi;D.S. Yoo
    • Electronics and Telecommunications Trends
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    • v.38 no.6
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    • pp.75-83
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    • 2023
  • Smart manufacturing in Industry 4.0 is developing toward autonomous manufacturing as a last-mile technology. We investigate development trends in manufacturing innovation technologies, review major industrial intelligence projects currently carried out at ETRI, and infer directions of future technology developments.

Discovery of Market Convergence Opportunity Combining Text Mining and Social Network Analysis: Evidence from Large-Scale Product Databases (B2B 전자상거래 정보를 활용한 시장 융합 기회 발굴 방법론)

  • Kim, Ji-Eun;Hyun, Yoonjin;Choi, Yun-Jeong
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.87-107
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    • 2016
  • Understanding market convergence has became essential for small and mid-size enterprises. Identifying convergence items among heterogeneous markets could lead to product innovation and successful market introduction. Previous researches have two limitations. First, traditional researches focusing on patent databases are suitable for detecting technology convergence, however, they have failed to recognize market demands. Second, most researches concentrate on identifying the relationship between existing products or technology. This study presents a platform to identify the opportunity of market convergence by using product databases from a global B2B marketplace. We also attempt to identify convergence opportunity in different industries by applying Structural Hole theory. This paper shows the mechanisms for market convergence: attributes extraction of products and services using text mining and association analysis among attributes, and network analysis based on structural hole. In order to discover market demand, we analyzed 240,002 e-catalog from January 2013 to July 2016.

Study of the Effect of the Transmittance of a Diffuser Plate on the Optical Characteristics of High-power Quantum-dot Illumination (확산판의 투과율이 고출력 양자점 조명의 광특성에 미치는 영향에 대한 연구)

  • Kim, Hye-Rin;You, Dong Geun;You, Jae Hwan;Jang, Jun Won;Choi, Moo Kyu;Hong, Seung Chan;Ko, Jae-Hyeon;Joe, Sung-Yoon;Kim, Yongduk;Park, Taehee;Ko, Young Wook
    • Korean Journal of Optics and Photonics
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    • v.32 no.5
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    • pp.220-229
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    • 2021
  • The optical characteristics of high-power direct-lit white light-emitting diode (LED) lighting were investigated, where a quantum dot (QD) film was adopted to enhance the color-rendering index (CRI). The transmittance of the diffuser plate and the concentration of the QD film were varied in this study. The color coordinates and the correlated color temperature (CCT) did not show any appreciable change, while the CRI values increased slightly as the transmittance of the diffuser plate decreased. The investigated optical properties were nearly independent of the viewing angle, and the luminance distribution was close to Lambertian. The CCT decreased from approximately 6000 K to approximately 4000 K as the concentration of the QD film increased from 0 to 7.5 wt%, which was due to the enhanced red component in the emission spectrum. The CRI increased to approximately 95 for some optical configurations of the lighting. These results demonstrate that glare-free, color-changeable, high-rendering LED lighting can be realized by using a combination of a diffuser plate of appropriate transmittance and a red QD film.

Improvement of Factory Data in Industrial Land Information System (산업입지정보시스템 공장정보 개선에 관한 연구)

  • Choe, Yu-Jeong;Lim, Jae-Deok;Kim, Seong-Geon
    • Journal of the Korea Convergence Society
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    • v.11 no.10
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    • pp.97-106
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    • 2020
  • The factory information provided by the Industrial Location Information System (ILIS) is provided as raw data by the Korea Industrial Complex Corporation and registered after a filtering process, so the new factory information update is slow. In this study, to solve the problem of updating factory information of industrial location information system, using building data of road name address with relatively fast renewal cycle and building data of real estate, we compared the factory information of existing ILIS and extracted new factory information. In the process of comparison, a method was proposed to compare spatial objects of different types with point data and polygon data. Attribute information matching and object matching were performed, and attribute values of new factory information were extracted. The accuracy evaluation of the proposed spatial analysis method showed 79% accuracy, and the above matching technique was used to confirm the possibility of convergence of road name address data, real estate data and factory information of ILIS.

Competition in the Life Insurance Market: Evidence from Korea using the Panzar - Rosse Model (국내 생명보험산업의 경쟁도 변화에 대한 융합적 연구: 방카슈랑스와 퇴직연금제도의 시행을 중심으로)

  • Choi, Sungho
    • Journal of the Korea Convergence Society
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    • v.7 no.5
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    • pp.201-211
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    • 2016
  • This paper uses the Panzar Rosse model to investigate the competitive conditions in the Korean life insurance companies over the period of 1999 2012. We break down the entire sample period into four distinctive groups and analyze the competitiveness of each period. The results indicate that for the pre-introduction of Bancassurance period, the H-statistic is -1.3984 and the life insurance market is found to be in monopoly or cartel. However, for the post-introduction of Bancassurance period, the H-statistic is 0.9107 and the life insurance market appears to be in monopolistic competition. The results from the introduction of retirement pension system are very similar to those of the introduction of Bancassurance. Overall, the findings indicate that the Korean life insurance market is in long-run equilibrium before the new system introduction, but make adjustments to the new equilibrium.

A Study On the Economic Effect Of Simulation Golf As the Convergence Industry (융복합산업으로서 시뮬레이션 골프의 경제효과 연구)

  • Ko, Jeong-Min
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.61-68
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    • 2015
  • This study aims to estimate the economic effects of the simulation golf industry. Two steps are taken. Step 1 is to calculate the direct effect which includes input required to install the facility and consumer's fee to pay for the simulation golf, and the indirect effect which includes the introduction of the field golf course derived from simulation golf. Step 2 is to calculate the production, value added and employment inducement effect. As a result of this calculation, total production inducement effect is 3.6 trillion won, value-added inducement effect is calculated at about 1.66 trillion won, while employment inducement effect is 34.6 thousand people in 2011. This study is expected to contribute to providing a basis for the policy to support the simulation industry and for estimation of the economic effect in the different simulation industry such as the simulation baseball.

A Study on the Efficiency and Its Determinants in Korea's Service Sectors Using DEA (자료포락분석(DEA)를 이용한 우리나라 서비스산업의 효율성과 결정요인 분석)

  • Bae, Se-Young
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.339-348
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    • 2021
  • This paper aims to analyze the production efficiency in Korea's ten service sectors using DEA and its determinants utilizing a truncated-Tobit regression model and a censored-Tobit regression model in 2010-2019. This paper found: First, the Korean service sector's production efficiency in general has been significantly low and polarized. Especially, the inefficiency resulted from the scale inefficiency in the 'sewerage waste management industry.' Second, in the determinants analysis, the results show the positive effect of the investment and R&D expenses on technical efficiency, while FDI and lobbying expenses illustrate the negative impact. Moreover, it seems that the larger the industry, the higher the efficiency. Thus, the future Korean government's economic policy for the service sectors requires a mixed and integrated policy of the macroeconomic aspect such as active investment and R&D activities with microeconomic aspect including a convergence of FDI and human capital.

An Automated Industry and Occupation Coding System using Deep Learning (딥러닝 기법을 활용한 산업/직업 자동코딩 시스템)

  • Lim, Jungwoo;Moon, Hyeonseok;Lee, Chanhee;Woo, Chankyun;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.23-30
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    • 2021
  • An Automated Industry and Occupation Coding System assigns statistical classification code to the enormous amount of natural language data collected from people who write about their industry and occupation. Unlike previous studies that applied information retrieval, we propose a system that does not need an index database and gives proper code regardless of the level of classification. Also, we show our model, which utilized KoBERT that achieves high performance in natural language downstream tasks with deep learning, outperforms baseline. Our method achieves 95.65%, 91.51%, and 97.66% in Occupation/Industry Code Classification of Population and Housing Census, and Industry Code Classification of Census on Basic Characteristics of Establishments. Moreover, we also demonstrate future improvements through error analysis in the respect of data and modeling.

The Service Quality Improvement Plan for Domestic Car-Sharing Industry -focusing on the DIDICHUXING analysis- (국내 차량공유업의 서비스 품질 개선 방안 -디디추싱 기업분석 사례를 중심으로-)

  • Jang, Woojung
    • Journal of the Korea Convergence Society
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    • v.12 no.3
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    • pp.217-224
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    • 2021
  • Based on the hyper-connectivity of the 4th Industrial Revolution, the paradigm shifts to the sharing economy. Didichuxing has already dominated the platform and is expanding its service to the TaaS 3.0 mobility industry. This paper aimed to suggest the direction of the domestic car-sharing industry and service improvement plan by analyzing Didichuxing. Korea is being cut off from the car-sharing industry, due to conflicts with existing industries and high regulations. It is necessary to balance the protection of existing industries and fostering new industries in the direction of negative regulations. In the future, it is also necessary to study how various fields of the sharing economy will convergence and develop.

A Simulation-based Genetic Algorithm for a Dispatching Rule in a Flexible Flow Shop with Rework Process (시뮬레이션 기반 유전알고리즘을 이용한 디스패칭 연구: 재작업이 존재하는 유연흐름라인을 대상으로)

  • Gwangheon Lee;Gwanguk Han;Bonggwon Kang;Seonghwan Lee;Soondo Hong
    • The Journal of Bigdata
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    • v.7 no.1
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    • pp.75-87
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    • 2022
  • This study investigates a dynamic flexible flow shop scheduling problem under uncertain rework operations for an automobile pipe production line. We propose a weighted dispatching rule (WDR) based on the multiple dispatching rules to minimize the weighted sum of average flowtime and tardiness. The set of weights in WDR should be carefully determined because it significantly affects the performance measures. We build a discrete-event simulation model and propose a genetic algorithm to optimize the set of weights considering complex and variant operations. The simulation experiments demonstrate that WDR outperforms the baseline dispatching rules in average flowtime and tardiness.