• 제목/요약/키워드: Personalized production

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키워드 분석을 이용한 개인화 모바일 웹 뉴스 컨텐츠 생성에 관한 연구 (A Study on Personalized Mobile Web News Contents Creation using Keyword Analysis)

  • 한승현;임영환
    • 한국컴퓨터정보학회논문지
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    • 제12권3호
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    • pp.277-285
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    • 2007
  • 본 연구에서는 웹 뉴스 채널 컨텐츠의 키워드 분석을 이용한 개인화된 모바일 웹 컨텐츠 생성 방법에 대해 제안한다. 기존의 웹 사이트의 뉴스기사 검색에서 제공하는 RSS와 연계된 웹 컨텐츠에서 빠르게 데이터를 획득하고, 키워드 분석을 통한 개인화 기법을 적용하여 컨텐츠를 필터링한다. 제안한 방법을 사용함으로써 수많은 뉴스 채널에서 보다 빠르고 쉽게 모바일용 웹 컨텐츠를 생성할 수 있어 컨텐츠 제작비용을 줄일 수 있다. 또한 키워드 분석을 이용하여 무선 인터넷 사용자들의 보다 세밀한 관심영역에 대응할 수 있으며 컨텐츠 필터링과 컨텐츠 접근에 대한 만족도를 향상시킬 수 있다.

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디지털 커스터마이징 자동화 기술 동향 (Digital Customized Automation Technology Trends)

  • 송은영
    • 한국의류산업학회지
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    • 제23권6호
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    • pp.790-798
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    • 2021
  • With digital technology innovation, increased data access and mobile network use by consumers, products and services are changing toward pursuing differentiated values for personalization, and personalized markets are rapidly emerging in the fashion industry. This study aims to identify trends in digital customized automation technology by deriving types of digital customizing and analyzing cases by type, and to present directions for the development of digital customizing processes and the use of technology in the future. As a research method, a literature study for a theoretical background, a case study for classification and analysis of types was conducted. The results of the study are as follows. The types of digital customizing can be classified into three types: 'cooperative customization', 'selective composition and combination', 'transparent suggestion', and automation technologies shown in each type include 3D printing, 3D virtual clothing, robot mannequin, human automatic measurement program, AR-based fitting service, big data, and AI-based curation function. With the development of digital automation technology, the fashion industry environment is also changing from existing manufacturing-oriented to consumer-oriented, and the production process is rapidly changing with IT and artificial intelligence-based automation technology. The results of this study hope that digital customized automation technology will meet various needs of personalization and customization and present the future direction of digital fashion technology, where fashion brands will expand based on the spread of digital technology.

반려동물 개인화서비스를 위한 융합 플랫폼 설계 (Design of Convergence Platform for companion animal Personalized Services)

  • 김삼택
    • 한국융합학회논문지
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    • 제7권6호
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    • pp.29-34
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    • 2016
  • 최근 스마트 강아지인식표 등의 사물인터넷(Internet of Things, IoT) 기술을 활용하여 반려동물의 건강관리를 실시간으로 수행하는 기기가 개발되고 수요 또한 증가하고 있으나 반려동물용 IoT 기기들은 복잡한 처리가 어렵고, 단순히 센서 정보을 이용 건강상태를 파악하기 때문에 고급기능을 구현하는데 한계가 있다. 본 논문은 통계적 분석을 활용하여 맞춤형 사료제작, 의약품제작, 반려동물 건강관리 등의 반려동물에게 맞춤형 개인화서비스가 가능한 통합 플랫폼을 설계한다. 반려동물이 착용하고 있는 IoT기기로부터의 센서 정보와 쇼핑몰에서의 고객의 구매 패턴 정보, 소셜미디어(SNS) 정보를 수집하는 미들웨어를 설계 한다. 또한 이를 통해 수집한 데이터를 데이터 베이스화하고 개인화서비스에 활용될 수 있도록 수집된 정보를 정제하고 분석 및 추론 가능한 분석기를 설계 한다.

제조 데이터 가시화를 위한 모바일 대시보드 시스템 개발 (Development of Mobile Dashboard System for Manufacturing Data Visualization)

  • 조현제;김철;조용주
    • 한국정밀공학회지
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    • 제31권4호
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    • pp.311-317
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    • 2014
  • As products have been more complex and customer's demands of personalized products are increasing, manufacturing system has been changed from mass production to mass customization production that makes small quantity but different kinds of product. In addition, it becomes important that manufacturers quickly respond to variable customer's demands and characteristic regulations in each country. Therefore, three prerequisites are essential for manufacturers to response agilely. First, manufacturing data should be monitored in real time, second, information is extracted from the data, and finally, the information is used to make manufacturing strategy. In this paper, the mobile dashboard system is presented. It visualizes manufacturing data on mobile devices, and measures performance of the shop floor through the information. The proposed system is composed of server and client, and is running on the R - the open source software for statistics. Four kinds of template are given for easy visualization through the system.

치아 보철물 디자인을 위한 이미지 대 이미지 변환 GAN 모델 (An Image-to-Image Translation GAN Model for Dental Prothesis Design)

  • 김태민;김재곤
    • 한국IT서비스학회지
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    • 제22권5호
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    • pp.87-98
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    • 2023
  • Traditionally, tooth restoration has been carried out by replicating teeth using plaster-based materials. However, recent technological advances have simplified the production process through the introduction of computer-aided design(CAD) systems. Nevertheless, dental restoration varies among individuals, and the skill level of dental technicians significantly influences the accuracy of the manufacturing process. To address this challenge, this paper proposes an approach to designing personalized tooth restorations using Generative Adversarial Network(GAN), a widely adopted technique in computer vision. The primary objective of this model is to create customized dental prosthesis for each patient by utilizing 3D data of the specific teeth to be treated and their corresponding opposite tooth. To achieve this, the 3D dental data is converted into a depth map format and used as input data for the GAN model. The proposed model leverages the network architecture of Pixel2Style2Pixel, which has demonstrated superior performance compared to existing models for image conversion and dental prosthesis generation. Furthermore, this approach holds promising potential for future advancements in dental and implant production.

Research on Creative Expression Utilizing AI Technology in 3D Animation Production

  • Chenghao Wang;Jeanhun Chung
    • International journal of advanced smart convergence
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    • 제13권2호
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    • pp.148-153
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    • 2024
  • This article embarks on an exploration of how the burgeoning landscape of AI technology is reshaping and augmenting creative expression within the realm of 3D animation. As AI continues to evolve and mature, its integration into the process of 3D animation creation has become an increasingly focal point of investigation and analysis. The article undertakes a comprehensive examination of the myriad applications of AI within the domain of 3D animation, shedding light on its multifaceted contributions to various aspects of the creative process. Furthermore, it delves into the transformative impact that AI technology has on enhancing creative expression within 3D animation, particularly through increased productivity, personalized content creation, and the expansion of creative boundaries. By automating repetitive and time-consuming tasks inherent in traditional production methods, AI liberates artists and animators to unleash their creative ingenuity and push the boundaries of their craft. Through empirical research and case studies, the article elucidates how AI serves as a catalyst for innovation, fostering a conducive environment for the exploration of novel techniques and artistic styles.

기상기후 빅데이터를 활용한 해양기상서비스 콘텐츠 개발 (Development of Contents on the Marine Meteorology Service by Meteorology and Climate Big Data)

  • 윤홍주
    • 한국전자통신학회논문지
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    • 제11권2호
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    • pp.125-138
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    • 2016
  • 현재 기상정보를 활용하고자 하는 수요는 증가하고 있으나 제공되는 기상기후정보는 한정적이다. 개선을 위해서는 기상기후 빅데이터 활용 플랫폼 지원, 정부 및 공공기관, 기업의 요구에 부응하는 기상기후 빅데이터 전문 인력 양성이 필요하다. 기상기후 빅데이터는 다양한 분야에서 활용 가능한 고부가가치 서비스 제공이 필요하며 서비스의 확대 및 새로운 콘텐츠 개발을 위하여 산업 분야별 유형별 특성에 맞는 맞춤형 서비스가 제공되어야 한다. 맞춤형 서비스를 제공하기 위해서는 국가차원의 협업생태계 조성이 필수적이다. 협업생태계 조성 환경을 만들기 위해서는 해양정책과 기상정책의 융합, 해양학과 기상학의 융합, R&D 기초연구와 응용연구의 융합이 필요하다. 이후 수요분석, 생산정보공유, 단일화 순서로 협업생태계를 구축할 수 있다.

다기준 의사결정 방법을 고려한 베이지안 네트워크 기반 음악 추천 시스템 (Bayesian network based Music Recommendation System considering Multi-Criteria Decision Making)

  • 김남국;이상용
    • 디지털융복합연구
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    • 제11권3호
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    • pp.345-352
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    • 2013
  • 최근 스마트 기기 사용자의 증가에 따라 모바일 음악에 대한 수요와 생산이 꾸준히 증가하고 있다. 이에 따라 대중화된 음악의 폭이 넓어지면서 사용자가 선호하는 음악에 대한 선택의 기준 또한 매우 다양해지고 복잡해지는 추세이다. 이러한 이유로 모바일 환경에서 사용자 개인이 선호하는 음악을 정교하게 추천하기 위한 지능적 음악 추천 기법에 대한 연구가 활발히 진행되고 있다. 그러나 기존의 음악 추천시스템은 청취로그를 이용한 단순 추천 방법을 사용하고 있어 사용자의 선호도를 제대로 고려하지 못하고 있다. 본 논문에서는 사용자의 선호도를 반영한 개인화된 적응형 음악 추천 시스템을 제안한다. 본 시스템에서는 계층적 의사결정 도구인 AHP를 이용하여 사용자의 개개인의 음악적 선호도를 반영한 음악 추천이 가능토록 하였으며, 베이지안 네트워크 기반의 사용자 피드백 통해 지속적인 사용자의 음악적 선호도를 반영하도록 하였다. 본 시스템의 성능을 평가하기 위해 12명의 실험자를 각각 3명씩 4그룹으로 나누어 실험하였으며 그 결과 87.5%의 추천 만족도를 얻었다.

Current strategies using 3D organoids to establish in vitro maternal-embryonic interaction

  • Islam Mohamed Saadeldin;Seif Ehab;Ahmed Elsayed Noreldin;Ayman Abdel-Aziz Swelum;Seonggyu Bang;Hyejin Kim;Ki Young Yoon;Sanghoon Lee;Jongki Cho
    • Journal of Veterinary Science
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    • 제25권3호
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    • pp.40.1-40.19
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    • 2024
  • Importance: The creation of robust maternal-embryonic interactions and implantation models is important for comprehending the early stages of embryonic development and reproductive disorders. Traditional two-dimensional (2D) cell culture systems often fail to accurately mimic the highly complex in vivo conditions. The employment of three-dimensional (3D) organoids has emerged as a promising strategy to overcome these limitations in recent years. The advancements in the field of organoid technology have opened new avenues for studying the physiology and diseases affecting female reproductive tract. Observations: This review summarizes the current strategies and advancements in the field of 3D organoids to establish maternal-embryonic interaction and implantation models for use in research and personalized medicine in assisted reproductive technology. The concepts of endometrial organoids, menstrual blood flow organoids, placental trophoblast organoids, stem cell-derived blastoids, and in vitro-generated embryo models are discussed in detail. We show the incorportaion of organoid systems and microfluidic technology to enhance tissue performance and precise management of the cellular surroundings. Conclusions and Relevance: This review provides insights into the future direction of modeling maternal-embryonic interaction research and its combination with other powerful technologies to interfere with this dialogue either by promoting or hindering it for improving fertility or methods for contraception, respectively. The merging of organoid systems with microfluidics facilitates the creation of sophisticated and functional organoid models, enhancing insights into organ development, disease mechanisms, and personalized medical investigations.

식품 3D-프린팅 기술과 식품 산업적 활용 (Food 3D-printing Technology and Its Application in the Food Industry)

  • 김종태;맹진수;신원선;심인철;오승일;조영희;김종훈;김철진
    • 산업식품공학
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    • 제21권1호
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    • pp.12-21
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    • 2017
  • Foods are becoming more customized and consumers demand food that provides great taste and appearance and that improves health. Food three-dimensional (3D)-printing technology has a great potential to manufacture food products with customized shape, texture, color, flavor, and even nutrition. Food materials for 3D-printing do not rely on the concentration of the manufacturing processes of a product in a single step, but it is associated with the design of food with textures and potentially enhanced nutritional value. The potential uses of food 3D-printing can be forecasted through the three following levels of industry: consumer-produced foods, small-scale food production, and industrial scale food production. Consumer-produced foods would be made in the kitchen, a traditional setting using a nontraditional tool. Small-scale food production would include shops, restaurants, bakeries, and other institutions which produce food for tens to thousands of individuals. Industrial scale production would be for the mass consumer market of hundreds of thousands of consumers. For this reason, food 3D-printing could make an impact on food for personalized nutrition, on-demand food fabrication, food processing technologies, and process design in food industry in the future. This article review on food materials for 3D-printing, rheology control of food, 3D-printing system for food fabrication, 3D-printing based on molecular cuisine, 3D-printing mobile platform for customized food, and future trends in the food market.