• Title/Summary/Keyword: 기술트렌드

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Fashion analysis for Artificial intelligence (인공지능 기술을 활용한 패션 분석 기술)

  • Song, Hyok;Ko, Min-Soo;Yoo, Jisang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.07a
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    • pp.673-674
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    • 2020
  • 의식주 중에서 자신을 표현하고 외부와의 교류를 할 수 있는 분야는 패션분야로서 인간 생활과 밀접한 관계를 가지고 있으며 사람들의 개인화된 성향 변화 및 인터넷 환경의 개선으로 트렌드는 빠르게 변화하고 있다. 인공지능 기술의 발전은 단순히 객체의 검출 및 분류에서 벗어나 패션 아이템의 분석 및 세부적인 속성을 분석할 수 있는 수준에 다다랐으며 인공지능 기술을 활용하여 사용자에게 추천할 수 있는 서비스가 출시되고 있다. 패션 트렌드의 빠른 변화 및 인공지능 기술의 발전으로 이를 활용한 플랫폼에 기반을 두어 디자이너에게는 디자인 기술을 향상시킬 수 있으며 사용자에게는 개인화된 제품을 구매할 수 있는 플랫폼 개발이 요구되고 있다. 본 논문에서는 인공지능 기술 기반 패션 분석 기술 개발을 위하여 패션 검출 모듈, 패션 검색 모듈, 패션 검색을 위한 벡터 검색 모듈, 상하의 분리를 위한 세그먼테이션 모듈, 패션 복종 분류 모듈을 개발하여 통합하였으며 패션 검색 정확도는 Top-5 기준 75.28%, 벡터 검색 속도는 벡터당 0.002m sec 이하, 세그먼테이션 추출 정확도 87.6%이상, 패션 검출 결과 IoU 0.5 환경에서 96.2%, 복종분석 90.54%의 성능을 보였다.

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Trend Changes of Domestic Swimwear Design (국내 수영복의 디자인 트렌드 변화)

  • Kang, Sun-A;Cho, Ju-Yeon;Chung, Su-In
    • The Journal of the Korea Contents Association
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    • v.15 no.4
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    • pp.104-113
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    • 2015
  • Sports wear in relation to sports life is being developed in fashion industry with increasing leisure time. However, design development for swimwear including trend analysis is still required. In this research, we analyzed design trends in domestic social and cultural environment, and fashion design elements for the development for swimwear. We collected 9,549 picture images totally through 138 swimwear product catalogues in 1970s to 2014, and 8 web sites. We analyzed formative characteristics such as silhouettes, materials, colors, and textile designs. Because of the shorter cycle of social changes, and various trend, design changes of swimwear are getting diverse. Especially, color and textile design are remarkable. Also, new materials and printing technology make the design of swimming wear more comfortable and fashionable. This research would be a basic research for the design development of swimming wear.

2023 Korea Digital Business Trend Study: Listening to Voices from Academia and Industry (2023 대한민국 디지털 비즈니스 트렌드 인식조사: 학계와 산업계의 다양한 목소리를 들어보다)

  • Heedong Yang;Hyunchul Ahn;Jung Lee;Hyunjeong Kang
    • Information Systems Review
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    • v.25 no.1
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    • pp.189-212
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    • 2023
  • This study uses various methods, including media analysis, expert interviews, and large-scale surveys, to derive notable digital business trends in 2023. Most trend studies have yet to deal with digital business trends in Korea. They also often have limitations in the objectivity of the results using unclear methods. On the other hand, this study emphasizes the validity of the results by collecting opinions from Korean digital business experts in various fields. First, Korean IT news articles were collected and analyzed through topic modeling analysis. Then, based on the results, interviews were conducted with 13 academic and industrial experts to derive 16 IT business trend candidates. Then, a survey was conducted on 210 experts to finalize the list of Korean IT business trends. Finally, to compare overseas and domestic views, we conducted an additional survey using the items developed by the Society for Information Management, SIM. This study is meaningful in that it drew prospects for digital business trends in consideration of the domestic business environment by scientifically converging various opinions of Korean digital business leaders. Our study contributes to developing strategies for IT technology and IT service business markets.

Technology Convergence & Trend Analysis of Biohealth Industry in 5 Countries : Using patent co-classification analysis and text mining (5개국 바이오헬스 산업의 기술융합과 트렌드 분석 : 특허 동시분류분석과 텍스트마이닝을 활용하여)

  • Park, Soo-Hyun;Yun, Young-Mi;Kim, Ho-Yong;Kim, Jae-Soo
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.9-21
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    • 2021
  • The study aims to identify convergence and trends in technology-based patent data for the biohealth sector in IP5 countries (KR, EP, JP, US, CN) and present the direction of development in that industry. We used patent co-classification analysis-based network analysis and TF-IDF-based text mining as the principal methodology to understand the current state of technology convergence. As a result, the technology convergence cluster in the biohealth industry was derived in three forms: (A) Medical device for treatment, (B) Medical data processing, and (C) Medical device for biometrics. Besides, as a result of trend analysis based on technology convergence results, it is analyzed that Korea is likely to dominate the market with patents with high commercial value in the future as it is derived as a market leader in (B) medical data processing. In particular, the field is expected to require technology convergence activation policies and R&D support strategies for the technology as the possibility of medical data utilization by domestic bio-health companies expands, along with the policy conversion of the "Data 3 Act" passed by the National Assembly in January 2019.

A Study on the Development Trend of Marine Spatial Policy Simulator Technology through Patent Analysis (특허 분석을 통한 해양공간 정책 시뮬레이터 기술개발 동향 연구)

  • Jun-hee Lee;Jeong-eun Lee;Dae-sun Kim;Min-eui Jeong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.30 no.1
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    • pp.32-42
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    • 2024
  • In this study, 1,474 effective patents were derived for quantitative analysis of five major countries, including Korea, China, Japan, the United States and Europe, for marine space policy simulator technology used as a support for integrated marine space management means, and domestic technology competitiveness and domestic and foreign technology trends were identified through annual and national patent application trends and word cloud analysis. This diagnosed the need for active policy support for research and development of marine space policy simulator technology at the government level and preparation through linkage strategies such as patent application consideration and standardization preoccupation for surrounding technologies to prepare for China-led market monopoly and preoccupation.

Technology Trend Analysis in the Automotive Semiconductor Industry using Topic Model and Patent Analysis (토픽모델 및 특허분석을 통한 차량용 반도체 기술 추세 분석)

  • Nam, Daekyeong;Choi, Gyunghyun
    • Journal of Korea Technology Innovation Society
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    • v.21 no.3
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    • pp.1155-1178
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    • 2018
  • Future automobiles are evolving into movable living spaces capable of eco-friendly autonomous driving. The role of electrically processing, controlling, and commanding various information in the vehicle is essential. It is expected that the automotive semiconductor will play a key role in the future automobile such as self-driving and eco-friendly automobile. In order to foster the automotive semiconductor industry, it is necessary to grasp technology trends and to acquire technology and quality that reflects the requirements in advance, thereby achieving technological innovation with industrial competitiveness. However, there is a lack of systematic analysis of technology trends to date. In this study, we analyzed the technology trends of automotive semiconductors using patent analysis and topic model, and confirmed technologies such as electric cars, driving assistance, and digital manufacturing. The technology trends showed that element technology and technical characteristics change according to technology convergence, market needs, and government regulations. Through this research, it is expected that it will help to make R&D policy for automotive semiconductor industry and to make decision for industrial technology strategy establishment. In addition, it is expected that it will be used effectively in detail research direction and patent strategy establishment by providing detailed classification of technology and trend analysis result of technology.

프린팅 월드 - 새로운 요구 반영하는 오프셋 판재 개발 트렌드

  • Jo, Gap-Jun
    • 프린팅코리아
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    • v.14 no.10
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    • pp.120-123
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    • 2015
  • 인쇄산업의 기술개발은 장비에서만 이뤄지는 것이 아니다. 용지와 잉크를 비롯해 가장 중요한 부자재로 손꼽히는 판재의 기술개발 경쟁도 뜨겁다. 최근의 오프셋 판재 기술개발은 친환경성을 부각하는 가운데 빠른 작업전환과 높은 소재 호응도를 중심으로 이뤄진다.

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A study on the R&D Direction of BigData technologies (빅데이터 R&D 방향성에 대한 연구)

  • Kim, Pang-ryong;Hong, Jae-pyo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.732-733
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    • 2014
  • This study aims to examine the R&D trends on Big Data sector through patent analysis and to suggest directions of the R&D activities in Korea. According to the results of analysis, the R&D trends of Big Data sector have shown two characteristics. First, the US has monopolized the world market of Big Data Sector. The patent activities of US have shown relatively even throughout every technology. And the average share of each technology is over 40%. Second, the trends of R&D have been changed. In the past, data analysis and processing technologies were the mainstream, whereas data operations and management technologies are mainly featured. However, the patent applications in Korea have been concentrated on storage technologies, while the applications for data operations and management technologies are correspondingly low; therefore, it seemingly needs urgent research and development of relevant technologies.

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