• Title/Summary/Keyword: SmartView

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Approach case design for achieve the social values (사회적 가치 실현을 위한 디자인의 접근 사례)

  • Kim, Myoung Yun
    • Smart Media Journal
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    • v.3 no.1
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    • pp.46-51
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    • 2014
  • The focus of design in the contemporary point of view has changed from the improvement in production efficiency for profitability and in styling for sales promotion to human-oriented design. Human-centered design has developed into design which includes social and ethical responsibility and values. With tradition and culture as a base the principles of markets and capital are incorporated as well. Such current design is the outcome of design which honors social values represented based on culture acquired from individuals and society and the the responsibility of the designer who provides it. For the realization of social values in design, it should be considered along with the influence of design on society, this study presented the following cases: First, human-oriented design for those who are isolated, but should not be ignored; Second, cultural-oriented design which makes a contribution to local conditions; and third, usability-oriented design which replaces familiar ideas with new paradigms. This study presented the function and meaning of design in terms of purpose and the methods to solve social and human problems using design. Further studies should deal with the realization and extension of social values through design.

A Study on the Analysis of Consultation Needs of SMEs through Big-Data (빅데이터 분석을 활용한 중소기업의 상담요구 분석)

  • Lee, Bong-Cheol;You, Yen-Yoo
    • Journal of Digital Convergence
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    • v.16 no.7
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    • pp.27-34
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    • 2018
  • This study was conducted to identify the contents of major consulting needs of SMEs using Big Data and to suggest the efficiency of operation. The subjects of the study were counseling cases posted on the website of the Business Support Center of the Ministry of SMEs and Startups. To do this, from 2009 to March 2018, we crawled about 7,000 cases of counseling cases, followed by word cloud analysis centering on effective keyword. The main results were as follows: First, the frequency of counseling cases in each field was found in the order of establishment, management strategy, human resources, financial order. Second, in word cloud analysis, the most frequent keyword related to counseling demand were small businesses, exports, methods, procedures, registration and authentication. In this study, we obtained research results that we can improve the efficiency of the policy in real time from a new point of view by conducting big data analysis on public policy.

Education of media by production of image contents - Focusing on Non-Linear Editing (영상 콘텐츠 제작을 통한 미디어 교육 - 비선형 편집을 중심으로)

  • Park, Sung-Dae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.9
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    • pp.1096-1103
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    • 2019
  • Today the influence of digital video media grows bigger due to the development of information and telecommunication gradually and most of juveniles spend a number of image contents with their smart phones and computers. And they not only consume such image contents but also upload the videos they make at YouTube or Vimeo by recording and editing them by themselves. As we learned from such phenomenon, the education of media that uses and expresses the video in various environment such as making, reading and expressing video media is very important. The education of using the advance digital device and software of producing image contents is essential as current education of media cannot be discussed without that. This study treats the education of media based on the view point of education on image contents production. It discusses the education method that we can learn from the process of image contents production based on Non-Linear Editing System.

A Study on 3D File Format for Web-based Scientific Visualization

  • Lee, Geon-hee;Nam, Jeong-hwan;Han, Hwa-seop;Kwon, Soon-chul
    • International Journal of Advanced Culture Technology
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    • v.7 no.1
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    • pp.243-247
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    • 2019
  • The most commonly used 3D modeling file formats are OBJ (Wavefront file format specification) and STL (STereoLithography). Although they have a common point of view in 3D on the screen, detailed functions are different according to purpose of development. OBJ is the most commonly used 3D file format and STL is mainly used as 3D file format for 3D printing. However, in the field of Scientific Visualization, precise analysis is required. There is a difference in accuracy depending on the type of 3D file format. OBJ and STL are not suitable for delicate surface description because they form meshes in the form of triangular polygons. And if you increase the number of triangle polygons, it will be smoother, but the file size also increases exponentially and causes excessive CPU usage. In contrast, VTK provides a variety of polygon structures, including triangular polygons as well as rectangular polygons and cube polygons. Thus, delicate surface depiction is possible. Delicate surface rendering is possible and file size is not large. This paper describes the concept and structure of VTK. We also compared the load times and file sizes between VTK, STL, and OBJ in the Chrome browser. In addition, the difference in surface rendering ability between VTK, STL, and OBJ is intuitively viewed based on the screen in which each 3D file format is implemented under the same conditions. This study is expected to be helpful for efficient 3D file format for precise implementation of Web - based Scientific Visualization.

Curation Service Implementation using Machine Learning Algorithm (기계학습 알고리즘을 이용한 Curation 서비스 구현)

  • Lee, Hyung Ho;Lee, Hak Jae;Kim, Tae Su;Kim, Mi Hyun
    • Smart Media Journal
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    • v.9 no.4
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    • pp.118-125
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    • 2020
  • This paper is conducted for automatically recommending and providing information services desired by users on websites of local governments and public institutions with vast amounts of information, In this system, we defined a method of collecting data based on the SiiRU CMS system that collects and preprocesses data, and a study that provides curation services (contents and menus) to users through a collaborative filtering algorithm based on machine learning. Also, the data used in the paper is conducted based on about 1 million data collected in 2019. The analyzed data can provide important information that cannot be easily accessed by providing a cloud tag service or recommended menu for users to conveniently view, and the environment configuration that can realize this service to local governments and public institutions is also provided.

Identifying Research Trends in Big data-driven Digital Transformation Using Text Mining (텍스트마이닝을 활용한 빅데이터 기반의 디지털 트랜스포메이션 연구동향 파악)

  • Minjun, Kim
    • Smart Media Journal
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    • v.11 no.10
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    • pp.54-64
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    • 2022
  • A big data-driven digital transformation is defined as a process that aims to innovate companies by triggering significant changes to their capabilities and designs through the use of big data and various technologies. For a successful big data-driven digital transformation, reviewing related literature, which enhances the understanding of research statuses and the identification of key research topics and relationships among key topics, is necessary. However, understanding and describing literature is challenging, considering its volume and variety. Establishing a common ground for central concepts is essential for science. To clarify key research topics on the big data-driven digital transformation, we carry out a comprehensive literature review by performing text mining of 439 articles. Text mining is applied to learn and identify specific topics, and the suggested key references are manually reviewed to develop a state-of-the-art overview. A total of 10 key research topics and relationships among the topics are identified. This study contributes to clarifying a systematized view of dispersed studies on big data-driven digital transformation across multiple disciplines and encourages further academic discussions and industrial transformation.

Infrastructure 2D Camera-based Real-time Vehicle-centered Estimation Method for Cooperative Driving Support (협력주행 지원을 위한 2D 인프라 카메라 기반의 실시간 차량 중심 추정 방법)

  • Ik-hyeon Jo;Goo-man Park
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.1
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    • pp.123-133
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    • 2024
  • Existing autonomous driving technology has been developed based on sensors attached to the vehicles to detect the environment and formulate driving plans. On the other hand, it has limitations, such as performance degradation in specific situations like adverse weather conditions, backlighting, and obstruction-induced occlusion. To address these issues, cooperative autonomous driving technology, which extends the perception range of autonomous vehicles through the support of road infrastructure, has attracted attention. Nevertheless, the real-time analysis of the 3D centroids of objects, as required by international standards, is challenging using single-lens cameras. This paper proposes an approach to detect objects and estimate the centroid of vehicles using the fixed field of view of road infrastructure and pre-measured geometric information in real-time. The proposed method has been confirmed to effectively estimate the center point of objects using GPS positioning equipment, and it is expected to contribute to the proliferation and adoption of cooperative autonomous driving infrastructure technology, applicable to both vehicles and road infrastructure.

A study on the implementation of Korea's traditional pagoda WebXR service

  • Byong-Kwon Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.69-75
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    • 2024
  • This study focuses on enhancing the understanding of the form and characteristics of traditional towers, or 'pagodas,' by utilizing WebXR technology to enable users to explore 3D models and experience them in virtual reality on the web. Traditional towers in Korea pose challenges for direct on-site verification due to their size, making it difficult to examine the structure and features of each level. To address these issues, this research aims to provide users with a WebXR service that allows them to remotely explore and analyze towers without geographical or temporal constraints. The research methodology involves utilizing WebAR to offer a web-based service where users can directly view the original form of the tower's 3D model using smart devices both online and on-site. However, outdoor conditions may affect performance, and to address this, a tower-outline detection and matching technique was employed. Consequently, we propose a remote support service for traditional towers, allowing users to remotely access information and features of various towers nationwide on the web. Meanwhile, on-site visits can involve experiencing augmented reality representations of towers using smart devices.

Suggesting Online Whiteboard Tool Concepts for the Convergence Process of Online Collaboration (온라인 협업의 수렴과정 개선을 위한 온라인 화이트보드 툴 콘셉트 제안)

  • Wu Seok Lim;Sang Hoon Jeong
    • Smart Media Journal
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    • v.12 no.11
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    • pp.198-210
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    • 2023
  • After COVID-19, team's collaborations are conducted online using whiteboard tools as remote working increases. In order to understand the problems of the convergence process using online whiteboard tools, an observation study comparing online and offline collaboration and a focus group interview were conducted. In addition, a questionnaire was conducted to confirm the found problem, and a solution idea was proposed. through in-depth interviews, we validate the proposed ideas. The convergence process of collaboration using online whiteboard tools had problems ; "excessive amount of information", "shift of view", "role of facilitator". To solve the problems, we proposed the idea of classifying each stage of the collaboration process, providing a navigator, and facilitator request system window. This paper proposed an idea that can effectively help the convergence process directly related to decision-making during the online collaboration process through analysis of advantages and problems of online and offline collaboration.

Augmented Reality Framework to Visualize Information about Construction Resources Based on Object Detection (웨어러블 AR 기기를 이용한 객체인식 기반의 건설 현장 정보 시각화 구현)

  • Pham, Hung;Nguyen, Linh;Lee, Yong-Ju;Park, Man-Woo;Song, Eun-Seok
    • Journal of KIBIM
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    • v.11 no.3
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    • pp.45-54
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    • 2021
  • The augmented reality (AR) has recently became an attractive technology in construction industry, which can play a critical role in realizing smart construction concepts. The AR has a great potential to help construction workers access digitalized information about design and construction more flexibly and efficiently. Though several AR applications have been introduced for on-site made to enhance on-site and off-site tasks, few are utilized in actual construction fields. This paper proposes a new AR framework that provides on-site managers with an opportunity to easily access the information about construction resources such as workers and equipment. The framework records videos with the camera installed on a wearable AR device and streams the video in a server equipped with high-performance processors, which runs an object detection algorithm on the streamed video in real time. The detection results are sent back to the AR device so that menu buttons are visualized on the detected objects in the user's view. A user is allowed to access the information about a worker or equipment appeared in one's view, by touching the menu button visualized on the resource. This paper details implementing parts of the framework, which requires the data transmission between the AR device and the server. It also discusses thoroughly about accompanied issues and the feasibility of the proposed framework.