• Title/Summary/Keyword: Contents Processing

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A Case Study on Distance Learning Based Computer Vision Laboratory (원거리 학습 기반 컴퓨터 비젼 실습 사례연구)

  • Lee, Seong-Yeol
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.10a
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    • pp.175-181
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    • 2005
  • This paper describes the development of on-line computer vision laboratories to teach the detailed image processing and pattern recognition techniques. The computer vision laboratories include distant image acquisition method, basic image processing and pattern recognition methods, lens and light, and communication. This study introduces a case study that teaches computer vision in distance learning environment. It shows a schematic of a distant loaming workstation and contents of laboratories with image processing examples. The study focus more on the contents of the vision Labs rather than internet application method. The study proposes the ways to improve the on-line computer vision laboratories and includes the further research perspectives

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Techniques for Digital Restoration of Cultural Assets : Focused on Computer Graphics and Image Processing Methods (문화원형 디지털 복원기술 : 컴퓨터 그래픽스 및 영상처리를 활용한 시스템의 통합 기능을 중심으로)

  • Moon, Ho-Seok;Sohn, Myung-Ho
    • Journal of Information Technology Services
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    • v.8 no.4
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    • pp.103-113
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    • 2009
  • The industry of cultural digital contents has been regarded as the main next generation industry. Recently techniques for restoring cultural assets and the multiple usage of those have been developed in our country. Using computer graphics and image processing techniques, many cultural assets have been restored. If the focus for researches and supports to cultural assets restoration grows rapidly, we will create cultural and economical added-values and get the benefit of that technology. In this paper, we introduce the techniques for restoring cultural assets focused on computer graphics and image processing techniques.

A Review of Advanced Bridge Inspection Technologies Based on Robotic Systems and Image Processing

  • Jo, Byung-Wan;Lee, Yun-Sung;Kim, Jung-Hoon;Yoon, Kwang-Won
    • International Journal of Contents
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    • v.14 no.3
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    • pp.17-26
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    • 2018
  • To ensure safety of bridges, it is critical to inspect and assess physical and functional conditions regularly. Presently, most highway bridges in the U.S. are inspected visually. However, this method of inspection is often influenced by the bridge inspector's knowledge and experience. So, reliability and accuracy of inspection results may be problematic. To solve such problems, an extensive number of robotics systems and image processing techniques for bridge inspection methods have been proposed. These robotics systems and image processing techniques are used to measure various bridge conditions, such as apparent damage, displacement and dynamic characteristics. This paper provides a comprehensive review of robotics systems and image processing technologies used in bridge inspection.

Predicting the Unemployment Rate Using Social Media Analysis

  • Ryu, Pum-Mo
    • Journal of Information Processing Systems
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    • v.14 no.4
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    • pp.904-915
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    • 2018
  • We demonstrate how social media content can be used to predict the unemployment rate, a real-world indicator. We present a novel method for predicting the unemployment rate using social media analysis based on natural language processing and statistical modeling. The system collects social media contents including news articles, blogs, and tweets written in Korean, and then extracts data for modeling using part-of-speech tagging and sentiment analysis techniques. The autoregressive integrated moving average with exogenous variables (ARIMAX) and autoregressive with exogenous variables (ARX) models for unemployment rate prediction are fit using the analyzed data. The proposed method quantifies the social moods expressed in social media contents, whereas the existing methods simply present social tendencies. Our model derived a 27.9% improvement in error reduction compared to a Google Index-based model in the mean absolute percentage error metric.

Performance Optimization of Big Data Center Processing System - Big Data Analysis Algorithm Based on Location Awareness

  • Zhao, Wen-Xuan;Min, Byung-Won
    • International Journal of Contents
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    • v.17 no.3
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    • pp.74-83
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    • 2021
  • A location-aware algorithm is proposed in this study to optimize the system performance of distributed systems for processing big data with low data reliability and application performance. Compared with previous algorithms, the location-aware data block placement algorithm uses data block placement and node data recovery strategies to improve data application performance and reliability. Simulation and actual cluster tests showed that the location-aware placement algorithm proposed in this study could greatly improve data reliability and shorten the application processing time of I/O interfaces in real-time.

Development of Brain-Style Intelligent Information Processing Algorithm Through the Merge of Supervised and Unsupervised Learning I: Generation of Exemplar Patterns for Training (교사학습과 비교사 학습의 접목에 의한 두뇌방식의 지능 정보 처리 알고리즘I: 학습패턴의 생성)

  • 오상훈
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.56-62
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    • 2004
  • In the case that we do not have enough number of training patterns because of limitation such as time consuming, economic problem, and so on, we geneterate a new patterns using the brain-style Information processing algorithm, that is, supervised and unsupervised learning methods.

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Bayesian Probability-based Behavior Network Design for Recognizing Dangerous Situations of Schoolchildren (초등학생의 위험 상황을 인지하기 위한 베이지안 확률 기반의 행위네트워크 설계 기법)

  • Kwak, Jeonghoon;Sung, Yunsick
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.11a
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    • pp.865-867
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    • 2014
  • 이 논문에서는 초등학생의 위험 상황을 자동으로 판단하기 위한 행위네트워크 설계 기법을 제안한다. 초등학생이 가지고 있는 스마트폰 센서로 주변 상황을 측정하고 측정한 값은 행위네트워크에 적용한다. 행위네트워크는 자동으로 위험상황을 인지하기 위해서 베이지안 확률을 도입한다. 반복적인 위험 상황을 학습함으로써 긴급시 빠르게 대처할 수 있다.

A Method of Form-Based HTML Documents Generation (폼에 기반한 HTML 문서 생성 방법)

  • Choe, Jun-Yong;Kim, Byeong-Gi
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.2
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    • pp.292-298
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    • 1999
  • An information structure of large size hypermedia application is usually hierarchical, and the sibling nodes in this structure have same or similar tags and contents. a word "개그" that means the common set of sibling nodes in the hierarchical information structure is used in this paper. It proposes a design method that divides form and content from nodes and it proposes HTML page generation algorithm from forms and contents. This method has reusability of form, maintainability of documents and reduction of cost for authoring.

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Software Architecture of Contents-based Control for Co-operative Remote Manipulation of Multi-Robots

  • Thuy, Dinh Trong;Kang, Soon-Ju
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.508-511
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    • 2008
  • In this paper, we propose software architecture for conveying contents-based OpenSound Control (OSC) packet from manipulation user interface to cooperative remote multi-robots. The Flash application is used as a controlling user interface and the physical prototyping of multi-robots were developed using physical prototyping toolkit.

3D Video Processing for 3DTV

  • Sohn, Kwang-Hoon
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08b
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    • pp.1231-1234
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    • 2007
  • This paper presents the overview of 3D video processing technologies for 3DTV such as 3D content generation, 3D video codec and video processing techniques for 3D displays. Some experimental results for 3D contents generation are shown in 3D mixed reality and 2D/3D conversion.

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