• Title/Summary/Keyword: 융합공간

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Evaluation Model Based on Machine Learning for Optimal O2O Services Layout(Placement) in Exhibition-space (전시공간 내 최적의 O2O 서비스 배치를 위한 기계학습 기반평가 모델)

  • Lee, Joon-Yeop;Kim, Yong-Hyuk
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.3
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    • pp.291-300
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    • 2016
  • The emergence of smart devices and IoT leads to the appearance of O2O service to blur the difference between online and offline. As online services' merits were added to the offline market, it caused a change in the dynamics of the offline industry, which means the offline-space's digitization. Unlike these changing aspects of the offline market, exhibition industry grows steadily in the industry, however it is also possible to create a new value added by combining O2O service. We conducted a survey targeting 20 spectators in '2015 Seoul Design Festival' at COEX. The survey was used to analysis of the spatial structure and generate the dataset for machine learning. We identified problems with the analysis study of the existing spatial structure, and based on this investigation we propose a new method for analyzing a spatial structure. Also by processing a machine learning technique based on the generated dataset, we propose a novel evaluation model of exhibition-space cells for O2O service layout.

Enhancing GEMS Surface Reflectance in Snow-Covered Regions through Combined of GeoKompsat-2A/2B Data (천리안 위성자료 융합을 통한 적설역에서의 GEMS 지표면 반사도 개선 연구)

  • Suyoung Sim;Daeseong Jung;Jongho Woo;Nayeon Kim;Sungwoo Park;Hyunkee Hong;Kyung-Soo Han
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1497-1503
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    • 2023
  • To address challenges in classifying clouds and snow cover when calculating ground reflectance in Near-UltraViolet (UV) wavelengths, this study introduces a methodology that combines cloud data from the Geostationary Environmental Monitoring Spectrometer (GEMS) and the Advanced Meteorological Imager (AMI)satellites for snow cover analysis. The proposed approach aims to enhance the quality of surface reflectance calculations, and combined cloud data were generated by integrating GEMS cloud data with AMI cloud detection data. When applied to compute GEMS surface reflectance, this fusion approach significantly mitigated underestimation issues compared to using only GEMS cloud data in snow-covered regions, resulting in an approximately 17% improvement across the entire observational area. The findings of this study highlight the potential to address persistent underestimation challenges in snow areas by employing fused cloud data, consequently enhancing the accuracy of other Level-2 products based on improved surface reflectivity.

Study for Spatial Big Data Concept and System Building (공간빅데이터 개념 및 체계 구축방안 연구)

  • Ahn, Jong Wook;Yi, Mi Sook;Shin, Dong Bin
    • Spatial Information Research
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    • v.21 no.5
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    • pp.43-51
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    • 2013
  • In this study, the concept of spatial big data and effective ways to build a spatial big data system are presented. Big Data is defined as 3V(volume, variety, velocity). Spatial big data is the basis for evolution from 3V's big data to 6V's big data(volume, variety, velocity, value, veracity, visualization). In order to build an effective spatial big data, spatial big data system building should be promoted. In addition, spatial big data system should be performed a national spatial information base, convergence platform, service providers, and providers as a factor of production. The spatial big data system is made up of infrastructure(hardware), technology (software), spatial big data(data), human resources, law etc. The goals for the spatial big data system build are spatial-based policy support, spatial big data platform based industries enable, spatial big data fusion-based composition, spatial active in social issues. Strategies for achieving the objectives are build the government-wide cooperation, new industry creation and activation, and spatial big data platform built, technologies competitiveness of spatial big data.

Object-based Data Fusion Methods using Hyperspectral remote sensing data (초분광 원격탐사자료를 이용한 객체기반 영상융합 기법 연구)

  • Yoon, Yeo-Sang
    • Proceedings of the KSRS Conference
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    • 2007.03a
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    • pp.247-250
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    • 2007
  • 다양한 지구관측위성으로부터 획득된 윈격탐사 자료들은 맴핑 환경모니터링, 재난 관리,도심 모니터링등과 같은 다양한 분야의 정보를 생성하고 분석하는데 많은 잠재력을 가지고 있다. 특별히 고해상도 위성영상의 경우 도심 지역의 다양한 정보를 손쉽게 파악이 가능하며, 이를 기반으로 효과적인 도심 관리 및 시설 투자가 이루어 질 수 있다 그러나 이러한 고해상도 위성영상의 경우 공간 해상력은 매우 좋으나분광해상력 측면에서는 많은 한계를 보이고 있는 단점을 가지고 있다 이를 보완하기 위한 방법으로 고해상도 흑백모드영상과 중${\cdot}$ 저해상도 다중분광영상 혹은 초분광영상간 영상 합성기법을 통해 분광 능력의 향상을 도모하는 기법들이 연구되어져 왔으며보다 최적의 결과를 위한 다양한 알고리즘들이 개발되어 왔다 본 연구에서는 이러한 영상융합결과의 향상을 위한 방법으로 객체기반 단위의 영상합성 방법을 제시하였으벽이 결과와 화소기반 영상융합 결과와의 비교${\cdot}$ 분석도 수행해 보았다. 이를 위해 Landsat-7 ETM+ 혹백영상과 Hyperion 초분광영상을 실험대상으로 선정하여 분석하였으벽 대표적인 영상융합방법인 PCA 융합기법을 활용하였다.

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Verb Prediction for Korean Language Disorders in Augmentative Communicator using the Neural Network (신경망을 이용한 언어장애인용 문장발생장치의 동사예측)

  • Lee Eunsil;Min Hongki;Hong Seunghong
    • Journal of the Institute of Convergence Signal Processing
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    • v.1 no.1
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    • pp.32-41
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    • 2000
  • In this paper, we proposed a method which predict the verb by using the neural network in order to enhance communication rate in augmentative communication system for Korean language disorders. Each word is represented by an information vector according to syntax and semantics, and is positioned at the state space by being partitioned into various regions different from a dictionary-like lexicon. Conceptual similarity is realized through position in state space. When a symbol was pressed, we could find the word for the symbol at the position in the state space. In order to prevent verb prediction's redundancy according to input units, we predicted the verb after separating class using the neural network. In the result we can enhance $20\% communication rate in the restricted space

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An Adaptive Image Enhancement of the DCT Compressed Image using the Spatial Frequency Property (공간주파수 특성을 이용한 DCT 압축영상의 적응 영상 향상)

  • Jeon, Seon-Dong;Kim, Sang-Hee
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.2
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    • pp.104-111
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    • 2010
  • This paper presents an adaptive image enhancement method using the spatial frequency property in the DCT(discrete cosine transform) compressed domain. The dc coefficients, the illumination components of image, are adjusted to compress the dynamic range of image, and the ac coefficients are modified to enhance the contrast by using the human visual system(HVS) and the spatial frequency property. The ac coefficients are separated into vertical direction, horizontal direction, and mixed spatial frequency components, and adaptively modified to minimize the block artifacts that possibly occur in the image enhancement. The proposed method using dynamic range compression and adaptive contrast enhancement shows the advanced performance without the block artifact compared with existing method.

Pitch-shifted sound synthesis using digital waveguide model (피치 변화음의 합성을 위한 도파관 모델)

  • Cho, Sang-Jin;Kang, Myeong-Su;Chong, Ui-Pil
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.2
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    • pp.127-131
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    • 2009
  • In the digital waveguide theory, traveling waves are represented by general solution to the wave equation that is second-order linear partial differential equation. The movement of these waves can be implemented using only delay lines. An unit delay in the general digital waveguide describes a sampling time interval. However, in the space-based digital waveguide the unit delay implies the spatial sampling distance. In consideration of these differences between two models, it is known that the space-based digital waveguide model is adequate to synthesize pitch-shifted sounds such as vibrato because the propagation distance can be directly control. In this paper, the time-based digital waveguide model which also synthesizes pitch-shifted sounds is proposed and compared with space-based digital waveguide.

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Spatial Operator for Spatial MongoDB (Spatial MongoDB를 위한 공간 연산자)

  • Kwak, Kwang-Jin;Yoon, Ha-Young;Shin, Dong-Yoon;Shin, Dong-Jin;Park, Jeong-Min;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.237-242
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    • 2018
  • Recently, media data is increasing due to the development of Internet and SNS. Since photographs and videos often have geo-tags, many techniques have been developed to analyze them. In order to process various kind of such as SNS, NoSQL has been covered. However, most NoSQL does not have enough computation and query about spatial data. Therefore, in this paper, we designed and implemented a system for adding spatial operators using MongoDB among the representative NoSQL. Through this study, it is confirmed that various operators can be used and it is expected that various services can be performed using operators.

A Study on the Effect of Digital Literacy Education in Personal Information Security Perception (디지털리터러시 교육이 개인 정보 보안 인식에 미치는 영향 연구)

  • Kwon, Jungin
    • Convergence Security Journal
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    • v.20 no.4
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    • pp.161-167
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    • 2020
  • Convergence ethics education for digital culture in cyberspace is limited to specific areas such as personal information and copyright. Education on the ability to accept information and provide information in cyberspace in which digital natives communicate, share and exchange is inadequate. As a result, the dysfunction of abusing the personal information of others without recognizing the importance of information security has recently emerged as a social problem. In this study, among digital netizen who communicate and exchange information the most in cyberspace, digital literacy education was conducted for students in the first and second grades of university, and then they investigated the change in information security perception. Based on this, we intend to prepare fundamental measures for systematic cultivation of digital literacy education necessary for the Digital Cultural Society.

On the Principles and Applications of Wave Field Synthesis (WFS의 원리와 활용에 관하여)

  • Yoo, Jae-Hyoun;Shim, Hwan;Chung, Hyun-Joo;Sung, Koeng-Mo;Kang, Kyeong-Ok
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.8
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    • pp.688-696
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    • 2009
  • There are many studies on Wave Field Synthesis(WFS) which provides better presence and spaciousness than conventional discrete multichannel audio reproduction methods. However, it has several problems such as the listener-enclosing loudspeaker array and pre-authorized object-based source signal, so it is not widely used except in large-scale listening rooms. This paper presents a method which utilizes the merit of WFS in small listening rooms such as a living room.