• 제목/요약/키워드: Meta-Platform

검색결과 90건 처리시간 0.028초

Metaverse Platform Design for Strengthening Gender Sensitivity of MZ Generation

  • Kim, Sea Woo;Na, Eun Gyung
    • International journal of advanced smart convergence
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    • 제11권3호
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    • pp.79-84
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    • 2022
  • Due to a series of online sex crimes cases and online class conversions caused by the spread of the coronavirus, alternatives to sex education in schools are urgently required. As a result of this study, the metaverse sex education platform was designed. Using this platform, learners are expected to cultivate correct adult awareness and digital citizenship. Within the metaverse platform, learners can participate more actively in learning. Instead of exposing one's name and face in a place dealing with sensitive gender issues, one can participate in education through his or her decorated avatar and participate in education much more actively than face-to-face education and express one's opinion through chat. In addition, education by level can be received regardless of time and place, which can have the effect of bridging the educational gap between urban and rural areas. In this paper, we propose a new sex education platform without time and space constraints by utilizing metaverse.

Platform Business and Network Strategy

  • Kim, Junic
    • STI Policy Review
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    • 제5권1호
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    • pp.57-74
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    • 2014
  • This review organises the fragmented management literature on platform business according to a conceptual map and a meta-theoretical scheme. Since the early 2000s, numerous researchers have examined platform business and two-sided networks with platform business and strategy being an important business innovation model for many industries, creating value primarily by enabling direct interactions. Platforms such as Google or Amazon contain a common set of rules and components in most user transactions. Thirty-two core papers and books on Strategic Management Journal, Industrial Economics and Operation Management-related disciplines are reviewed, with further observations on how cumulative research streams on the platform are carried out independently from each academic perspective. The first of the two arguments in this paper is that because interactive relationships bridge the platform and stakeholders such as end-users and developers, it is crucial for platform companies to be aware of their relationship with stakeholders in order to support and sustainably provide content to their platform. The second is that integrative perspectives are essential due to the low number of interdisciplinary investigations conducted thus far. The paper's final section deals with implications for theory and practice, concluding that integrative studies and interactive relationship studies should be the main research streams in future platform research.

빅데이터를 활용한 메타패션 의미구조 분석에 관한 연구: '메타버스' + '패션디자인' 키워드를 중심으로 (Analysis of Meta Fashion Meaning Structure using Big Data: Focusing on the keywords 'Metaverse' + 'Fashion design')

  • 김지연;이신영
    • 한국의류산업학회지
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    • 제25권5호
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    • pp.549-559
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    • 2023
  • Along with the transition to the fourth industrial revolution, the possibility of metaverse-based innovation in the fashion field has been confirmed, and various applications are being sought. Therefore, this study performs meaning structure analysis and discusses the prospects of meta fashion using big data. From 2020 to 2022, data including the keyword "metaverse + fashion design" were collected from portal sites (Naver, Daum, and Google), and the results of keyword frequency, N-gram, and TF-IDF analyses were derived using text mining. Furthermore, network visualization and CONCOR analysis were performed using Ucinet 6 to understand the interconnected structure between keywords and their essential meanings. The results were as follows: The main keywords appeared in the following order: fashion, metaverse, design, 3D, platform, apparel, and virtual. In the N-gram analysis, the density between fashion and metaverse words was high, and in the TF-IDF analysis results, the importance of content- and technology-related words such as 3D, apparel, platform, NFT, education, AI, avatar, MCM, and meta-fashion was confirmed. Through network visualization and CONCOR analysis using Ucinet 6, three cluster results were derived from the top emerging words: "metaverse fashion design and industry," "metaverse fashion design and education," and "metaverse fashion design platform." CONCOR analysis was also used to derive differentiated analysis results for middle and lower words. The results of this study provide useful information to strengthen competitiveness in the field of metaverse fashion design.

Influence of implant mucosal thickness on early bone loss: a systematic review with meta-analysis

  • Di Gianfilippo, Riccardo;Valente, Nicola Alberto;Toti, Paolo;Wang, Hom-Lay;Barone, Antonio
    • Journal of Periodontal and Implant Science
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    • 제50권4호
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    • pp.209-225
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    • 2020
  • Purpose: Marginal bone loss (MBL) is an important clinical issue in implant therapy. One feature that has been cited as a contributing factor to this bone loss is peri-implant mucosal thickness. Therefore, in this report, we conducted a systematic review of the literature comparing bone remodeling around implants placed in areas with thick (≥2-mm) vs. thin (<2-mm) mucosa. Methods: A PICO question was defined. Manual and electronic searches were performed of the MEDLINE/PubMed and Cochrane Oral Health Group databases. The inclusion criteria were prospective studies that documented soft tissue thickness with direct intraoperative measurements and that included at least 1 year of follow-up. When possible, a meta-analysis was performed for both the overall and subgroup analyses. Results: Thirteen papers fulfilled the inclusion criteria. A meta-analysis of 7 randomized clinical trials was conducted. Significantly less bone loss was found around implants with thick mucosa than around those with thin mucosa (difference, -0.53 mm; P<0.0001). Subgroups were analyzed regarding the apico-coronal positioning, the use of platform-matched vs. platform-switched (PS) connections, and the use of cement-retained vs. screw-retained prostheses. In these analyses, thick mucosa was found to be associated with significantly less MBL than thin mucosa (P<0.0001). Among non-matching (PS) connections and screw-retained prostheses, bone levels were not affected by mucosal thickness. Conclusions: Soft tissue thickness was found to be correlated with MBL except in cases of PS connections used on implants with thin tissues and screw-retained prostheses. Mucosal thickness did not affect implant survival or the occurrence of biological or aesthetic complications.

단어-역문서 빈도 벡터화를 통한 한국 걸그룹의 음반 메타 정보 군집화 (Clustering Meta Information of K-Pop Girl Groups Using Term Frequency-inverse Document Frequency Vectorization)

  • 현준서;조재혁
    • Journal of Platform Technology
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    • 제11권3호
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    • pp.12-23
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    • 2023
  • 2020 년대 K-Pop 시장은 보이그룹보다 걸그룹이, 3 세대보다 4 세대가 전반에서 주목받았다. 해당 논문은 걸그룹의 세대가 바뀌기 시작했는지 알아보고자 가사 군집화에 대한 방법과 결과를 제시한다. 2013 년부터 2022 년까지 발표된 47 개 그룹의 1469 곡에 대한 메타정보를 수집하여 가사 정보와 가사 외 메타정보로 분류하여 각각 수치화했다. 가사 정보는 선행연구를 기반으로 단어역문서 빈도 벡터화를 적용한 뒤 상위 벡터 값만 선정하는 전처리를 하였다. 가사 외 메타정보는 가사 정보만 사용했을 때의 편향성을 줄이고 더 좋은 군집화 결과를 보여주기 위해 One-Hot Encoding 으로 전처리하여 적용했다. 전처리된 데이터에 대한 군집화 성능은 Spherical K-Means 의 Silhouette Coefficient, Calinski-Harabasz Score 가 Hierarchical Clustering 에 비해 각각 129%, 45% 더 높았다. 본 연구는 한국 대중가요 발전사와 걸그룹 가사 분석 및 군집화 연구에 기여할 수 있을 것으로 기대된다.

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메타패션 시장 확장을 위한 메타패션과 실제패션 특성 비교와 그 방향성 예측 -Z세대 크리에이터의 제페토 스튜디오와 온라인 쇼핑몰을 중심으로- (Comparison of Characteristics of Meta-Fashion and Real Fashion to Predict the Expansion and Direction of the Meta-Fashion Market -Focused on Gen Z Creators' ZEPETO Studios and Online Shops-)

  • 박유정;이윤경
    • 한국의류학회지
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    • 제48권1호
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    • pp.50-65
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    • 2024
  • By analyzing the style of creator avatars in the world of Metaverse, which is emerging as a fourth-generation social media platform, this study aims to identify the meta-fashion tastes of Generation Z (Gen Z) creators (born in the late 2010s and early 2020s) and to analyze the extent to which current trends in the fashion market are influencing meta-fashion. The research method uses a case study to compare meta-fashion and current fashion trends. First, five Gen Z fashion creators on ZEPETO were selected to analyze the meta-fashion styles presented by this group. In the end, a total of 100 fashion styles were analyzed by combining 50 items each from the current meta-fashion and real fashion trends. The fashion styles were found to be hip-hop, easy-casual, punk, lovely feminine, and sexy, and the main fashion items were analyzed as jeans, hip-hop style pants, sneakers, tight crop tops, dresses, tattoos, chain accessories, and dyeing. Meta-fashion is the emergence of items similar in shape to those popular in the current fashion market, but are more exaggerated or show off the human body than actual fashion items.

Business Process Meta Model

  • Kim, Dong-Soo
    • 한국전자거래학회:학술대회논문집
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    • 한국전자거래학회 2001년도 International Conference CALS/EC KOREA
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    • pp.191-207
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    • 2001
  • ■ The 1/sup st/ Driver: Electronic Documents ■ EDI via VAN ■ Limited use of electronic processing ■ The 2/sup nd/ Driver: Internet Infrastructure ■ Web/EDI, HTTP, FTP, MIME ■ Open network ■ The 3/sup rd/ Driver: XML ■ Enables the definition of platform-independent protocols for the exchange of data ■ Business Processes and Documents in XML format ■ XML/EDI ■ XML message exchange: SOAP(omitted)

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MDA기반 학사관리 프로세스 유효성 분석 (An Efficiency Analysis of Management System for Academy Affairs Process Based on MDA)

  • 윤정모;김치호
    • 정보처리학회논문지D
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    • 제15D권2호
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    • pp.187-196
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    • 2008
  • 새로운 패러다임의 시스템 개발 접근 방법은 OMG(Object Management Group)에서 MDA(Model Driven Architecture)로 표준화하고 있다. MDA의 핵심 기술은 모델 중심의 시스템 구현을 위한 기술 구조를 정의하는 것으로 시스템의 설계 및 명세에 대한 구현 기술을 플랫폼 독립적 모델(PIM : Platform Independent Model)로 설계한 후, 구현 환경에 적합한 플랫폼 종속적 모델(PSM : Platform Specific Model)로 설계하여 구현환경에 맞는 언어로 변환하는 기술이다. MDA의 핵심인 MOF(Meta-Object Facility), UML, XMI(XML Metadata Interchange), CWM(Common Warehouse Metamodel) 표준 등이 포함된다. MDA 지원 자동화 툴들은 위의 정보들을 갖고 변환 작업을 수행한 후 실행 가능한 시스템으로 생산해 내는 것이다.[1] 본 논문에서는 MDA기반 접근 방법을 적용하여 학사관리 시스템을 설계 및 구현하고, MDA기반 접근 방법에 대한 모델링의 중요성을 강조하였다. 또한 소프트웨어를 효율적으로 개발하는 방법을 제시하여 플랫폼 독립적 모델(PIM)로 작성하고, 플랫폼 종속적 모델(PSM)을 J2EE 플랫폼 기반의 EJB(Enterprise Java Beans)로 변환하는 과정 등을 제시하였다. MDA를 지원하는 자동화 툴 및 편집기(Together Architect 2006 for Eclipse, Edit plus 2)와 데이터베이스 모델링 툴(ER/WIN 4.1)을 사용하여 시스템 설계 및 구현을 하였으며, 전통적 개발 프로세스와 MDA 기반 개발 프로세스에 대한 유효성 분석 결과를 제시하였다.

79종의 임플란트 식별을 위한 딥러닝 알고리즘 (Deep learning algorithms for identifying 79 dental implant types)

  • 공현준;유진용;엄상호;이준혁
    • 구강회복응용과학지
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    • 제38권4호
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    • pp.196-203
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    • 2022
  • 목적: 본 연구는 79종의 치과 임플란트에 대해 딥러닝을 이용한 식별 모델의 정확도와 임상적 유용성을 평가하는 것을 목적으로 하였다. 연구 재료 및 방법: 2001년부터 2020년까지 30개 치과에서 임플란트 치료를 받은 환자들의 파노라마 방사선 사진에서 총 45396개의 임플란트 고정체 이미지를 수집했다. 수집된 임플란트 이미지는 18개 제조사의 79개 유형이었다. 모델 학습을 위해 EfficientNet 및 Meta Pseudo Labels 알고리즘이 사용되었다. EfficientNet은 EfficientNet-B0 및 EfficientNet-B4가 하위 모델로 사용되었으며, Meta Pseudo Labels는 확장 계수에 따라 두 가지 모델을 적용했다. EfficientNet에 대해 Top 1 정확도를 측정하고 Meta Pseudo Labels에 대해 Top 1 및 Top 5 정확도를 측정하였다. 결과: EfficientNet-B0 및 EfficientNet-B4는 89.4의 Top 1 정확도를 보였다. Meta Pseudo Labels 1은 87.96의 Top 1 정확도를 보였고, 확장 계수가 증가한 Meta Pseudo Labels 2는 88.35를 나타냈다. Top 5 정확도에서 Meta Pseudo Labels 1의 점수는 97.90으로 Meta Pseudo Labels 2의 97.79보다 0.11% 높았다. 결론: 본 연구에서 임플란트 식별에 사용된 4가지 딥러닝 알고리즘은 모두 90%에 가까운 정확도를 보였다. 임플란트 식별을 위한 딥러닝의 임상적 적용 가능성을 높이려면 더 많은 데이터를 수집하고 임플란트에 적합한 미세 조정 알고리즘의 개발이 필요하다.

Multi-Streaming Internet Radio Platform 설계방안에 대한 연구 (A Study of Method Multi-Streaming Internet Radio Platform Design Method)

  • 김종덕;김영길
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2009년도 춘계학술대회
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    • pp.105-107
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    • 2009
  • 본 논문에서는 대형 매장 혹은 임의의 공간과 공간사이에 다른 뮤직콘텐츠를 필요로 할 때 이를 해결해 줄 수 있는 멀티 스트리밍 플랫폼에 대해 연구한다. 사용자의 인터넷 사용을 겸하기 위해 NAT를 구성하고, Multi-Channel Connection을 위한 Application 설계방법과 그에 따른 Multi Stream을 위한 Hardware Path를 구현하는 방법을 제안한다.

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