• Title/Summary/Keyword: 원격 데이터서비스

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Automatic Adaptation Based Metaverse Virtual Human Interaction (자동 적응 기반 메타버스 가상 휴먼 상호작용 기법)

  • Chung, Jin-Ho;Jo, Dongsik
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.2
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    • pp.101-106
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    • 2022
  • Recently, virtual human has been widely used in various fields such as education, training, information guide. In addition, it is expected to be applied to services that interact with remote users in metaverse. In this paper, we propose a novel method to make a virtual human' interaction to perceive the user's surroundings. We use the editing authoring tool to apply user's interaction for providing the virtual human's response. The virtual human can recognize users' situations based on fuzzy, present optimal response to users. With our interaction method by context awareness to address our paper, the virtual human can provide interaction suitable for the surrounding environment based on automatic adaptation.

The Study on Impact of Introduction Characteristics Factor of EMR System on Perceived Usefulness and Ease of Use and Behavioral Intention to Use (EMR시스템의 도입 특성요인이 지각된 유용성, 편이성 및 사용의도에 미치는 영향에 관한 연구)

  • Im, Hyung-Joo;Shim, Jeong-Taek;Lee, Sang-Shik
    • Journal of Korea Society of Industrial Information Systems
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    • v.14 no.2
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    • pp.32-50
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    • 2009
  • Since 1990 when order communication system(OCS) was first introduced, the use of information technology in medical service has been widely accepted in order to enhance quality and customer relationship as well as to increase managerial efficiency. Medical information system is rapidly increasing and is trying to make ubiquitous healthcare environment through telemedicine system. Especially, medical profession and government have taken interest in electronic medical record (EMR) system which can digitalize and manage all medical records in hospitals. By recording patient's medical information in real time, EMR system can improve service efficiency and customer service quality including short waiting time, various utilization of clinic information, and reduced cost.

기술혁신이 디지털 헬스케어 수용성에 미치는 영향 연구: 확장된 통합기술수용모델 기반 스마트워치 혁신기술 매개효과 중심

  • Jin, Ik-Seong;Lee, So-Yeong
    • 한국벤처창업학회:학술대회논문집
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    • 2022.11a
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    • pp.95-104
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    • 2022
  • 근래 지구온난화에 따른 자연재해의 증가와 장기 코로나19의 전염으로 사회적 비대면 필요성이 증대되면서 온라인을 통한 건강관리 및 의료 진단·처방 등 디지털 헬스케어의 필요성이 증대되고 있다. 디지털 헬스케어로 기존 병원 진료의 온라인 원격 진료/처방이 지속 증가하고 있을 뿐만 아니라 관련 빅데이터를 모아 개인 건강과 질병 상태 정보를 취합하여 건강 관리 및 치료를 하는 디지털 치료제 개발이 급속 진행되고 있으며 관련 벤처 창업도 활발히 진행되고 있다. 이러한 디지털 헬스케어, 디지털 치료제 산업의 활성화는 각 개인의 신체 상태를 상시 측정하고 이 정보를 관련 시스템과 연동 할 수 있는 웨어러블 디바이스, 특히 스마트워치의 보급 증대에 힘입은 바가 크다. 본 연구에서는 스마트워치의 기술혁신이 디지털 헬스케어의 수용성에 어떻게 영향을 미치는지 확장된 통합기술수용모델을 적용하여 분석하고, 혁신 사례로 스마트워치를 활용한 디지털 수면 치료제 벤처 개발 현황을 제시하였다. 본 연구를 통해 확인한 결과는 다음과 같다. 첫째 디지털 헬스케어 스마트워치의 개인혁신성, 효용가치, 사용편의 등 ICT 변인들에 대한 기술발전의 매개 영향은 유의한 것으로 나타났다. 둘째 ICT 변인들과 기술발전 매개변수는 디지털 헬스케에 스마트워치 수용의도에 대부분 정(+)의 영향을 미치는 것으로 확인되었다. 단 기술발전은 개인혁신성에는 크게 매개하지 않는 것으로 나타났다. 이러한 혁신기술의 디지털 헬스케어 스마트워치 수용의도 영향 평가 결과는 스마트워치 각종 서비스 상품기획과 마케팅에 유효하게 참조 할 수 있을 것으로 보이며 추후 세분화 연구를 통하여 더욱 소비자 특화된 제품과 서비스를 창출하는데 기여 할 수 있을 것으로 사료 된다.

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AI-based smart water environment management service platform development (AI기반 스마트 수질환경관리 서비스 플랫폼 개발)

  • Kim, NamHo
    • Smart Media Journal
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    • v.11 no.9
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    • pp.56-63
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    • 2022
  • Recently, the frequency and range of algae occurrence in major rivers and lakes are increasing due to the increase in water temperature due to climate change, the inflow of excessive nutrients, and changes in the river environment. Abnormal algae include green algae and red algae. Green algae is a phenomenon in which blue-green algae such as chlorophyll (Chl-a) in the water grow excessively and the color of the water changes to dark green. In this study, a 3D virtual world of digital twin was built to monitor and control water quality information measured in ecological rivers and lakes in the living environment in real time from a remote location, and a sensor measuring device for water quality information based on the Internet of Things (IOT) sensor. We propose to build a smart water environment service platform that can provide algae warning and water quality forecasting by predicting the causes and spread patterns of water pollution such as algae based on AI machine learning-based collected data analysis.

Python Package Production for Agricultural Researcher to Use Meteorological Data (농업연구자의 기상자료 활용을 위한 파이썬 패키지 제작)

  • Hyeon Ji Yang;Joo Hyun Park;Mun-Il Ahn;Min Gu Kang;Yong Kyu Han;Eun Woo Park
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.2
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    • pp.99-107
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    • 2023
  • Recently, the abnormal weather events and crop damages occurred frequently likely due to climate change. The importance of meteorological data in agricultural research is increasing. Researchers can download weather observation data by accessing the websites provided by the KMA (Korea Meteorological Administration) and the RDA (Rural Development Administration). However, there is a disadvantage that multiple inquiry work is required when a large amount of meteorological data needs to be received. It is inefficient for each researcher to store and manage the data needed for research on an independent local computer in order to avoid this work. In addition, even if all the data were downloaded, additional work is required to find and open several files for research. In this study, data collected by the KMA and RDA were uploaded to GitHub, a remote storage service, and a package was created that allows easy access to weather data using Python. Through this, we propose a method to increase the accessibility and usability of meteorological data for agricultural personnel by adopting a method that allows anyone to take data without an additional authentication process.

WPS-based Satellite Image Processing onWeb Framework and Cloud Computing Environment (클라우드 컴퓨팅과 웹 프레임워크 환경에서 WPS 기반 위성영상 정보처리)

  • Yoon, Gooseon;Lee, Kiwon
    • Korean Journal of Remote Sensing
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    • v.31 no.6
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    • pp.561-570
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    • 2015
  • Till now, applications of many kinds of satellite images have been accentuated in the datacentric scientific studies, researches regarding system development and concerned technologies for them are on the un-matured stage. Especially, satellite image processing requires large volume data handling and specific analysis functionalities, so that practical necessity of base study for system development is emphasized on. In the view of information system, various edged trends such as web standards, cloud computing, or web framework are utilized owing to their application benefits proven and business needs. Considered these aspects, a testing implementation was carried out using OpenStack cloud computing environment and e-government framework. As for the processing functions, WPS in GeoServer, as one of OGC web standards, was applied to perform interoperable data processing scheme between two or more remote servers. Working with the server implemented, client-side was also developed using several open sources such as HTML 5, jQuery, and OpenLayers. If it is that completed further experiments onsite applications with actual multi-data sets and extension of on-demand functionalities with the result of this study, it will be referred as an example case model for complicated and complex system design and implementation which needs cloud computing, geo-spatial web standards and web framework.

Implementation of Multi-Protocol Interface for Web-based Collaborative Service (웹 기반 공동작업을 위한 다중 프로토콜 인터페이스 방법의 구현)

  • 이은령;김지용;설동명;김두현;임기욱
    • Journal of Korea Multimedia Society
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    • v.6 no.2
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    • pp.340-351
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    • 2003
  • We introduce our experiences of the design and implementation of the Page Together system that has expanded hyperlink metaphor to utilize human resources in the web. This system supports that a user connects with others in the web, communicates through video/audio channel, navigates same web pages simultaneously and cooperates some work on Internet. For these functions, it comprises Collaborative Browsing Module (CBM), Multimedia Conferencing Module(MCM) Data Conferencing Module(I)CM) and Multi Protocol Interface(MPI). We adopted three standard protocols, IEC, H.323 and T.120 for each nodule and it allows developers to use them easily. We also defined MPI to synchronize information of session among modules. Each module exchanges information each other in session creating process and session terminating process. After a session is created once, each module works independently as its won protocol. Interferences among modules are reduced as minimizing to exchange information. We also introduce a web site that provides web board service based on the Page Together system. A user may post a notice with a link to himself/herself on our web board. After then, if someone read that notice and has any question about it, he or she can try to connect to the writer as clicking the link in that notice and communicate each other. This service site shows that our system can be applied to diverse internet services such as distance teaming and distance conference.

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Analysis of the Effect of Learned Image Scale and Season on Accuracy in Vehicle Detection by Mask R-CNN (Mask R-CNN에 의한 자동차 탐지에서 학습 영상 화면 축척과 촬영계절이 정확도에 미치는 영향 분석)

  • Choi, Jooyoung;Won, Taeyeon;Eo, Yang Dam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.1
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    • pp.15-22
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    • 2022
  • In order to improve the accuracy of the deep learning object detection technique, the effect of magnification rate conditions and seasonal factors on detection accuracy in aerial photographs and drone images was analyzed through experiments. Among the deep learning object detection techniques, Mask R-CNN, which shows fast learning speed and high accuracy, was used to detect the vehicle to be detected in pixel units. Through Seoul's aerial photo service, learning images were captured at different screen magnifications, and the accuracy was analyzed by learning each. According to the experimental results, the higher the magnification level, the higher the mAP average to 60%, 67%, and 75%. When the magnification rates of train and test data of the data set were alternately arranged, low magnification data was arranged as train data, and high magnification data was arranged as test data, showing a difference of more than 20% compared to the opposite case. And in the case of drone images with a seasonal difference with a time difference of 4 months, the results of learning the image data at the same period showed high accuracy with an average of 93%, confirming that seasonal differences also affect learning.

Relay of Remote Control Signal for Spacecraft in Deep Space via FHLH (FHLH를 매개로 한 심우주 우주선 원격 제어 신호 중계)

  • Koo, Cheol Hea;Kim, Hyungshin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.48 no.4
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    • pp.295-301
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    • 2020
  • When a spacecraft in deep space falls into an abnormal state, an emergency communication channel between ground and the spacecraft is essential in order to perform analysis to the cause of the anomaly, and to remedy the spacecraft from the distressed state. Because the recovery actions generally comprises of long and complicated sequences of commands, the transmission of the recovery commands may require a reliable and a delay tolerant networking technology based on bundle routing. While the delay tolerant networking protocol becomes a prominent method interfacing ground and space into a internet-like Solar system network because it can address the issues of the severe communication problems in deep space, the communication system on the spacecraft which based on space packet protocol cannot use the delay tolerant networking technology directly. So a community of the consultative committee for space data systems starts a discussion of the first-hop last-hop mechanism to establish a feasible concept and standardization. This paper presents an enhanced concept of the first-hop last-hop by applying it a virtual cislunar communication environment, and we believe this contributes to make a way applicable to an interoperable relay concept of the first hop last hop between the delay tolerant networking and space packet protocol standard.

An Efficient Algorithm for Finding the Earliest Available Interval on Connection-Oriented Networks (연결 지향 네트워크에서 최초 가용 구간을 찾는 효율적인 알고리즘)

  • Chong, Kyun-Rak
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.3
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    • pp.73-80
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    • 2010
  • The advancement of communication and networking technologies has enabled e-science and commercial application that often require the transport of large volume of data over wide-area network. Schedulable high-bandwidth low-latency connectivity is required to transport the large volume of data. But the public Internet does not provide predictable service performance. Especially, if data providers and users are far away, dedicated bandwidth channels are needed to support remote process efficiently. Currently several network research projects are in progress to develop dedicated connectionsy sA bandwidth scheduler computes an user requested path based on network topology information and link bandwidth allocationsy In this paper, we have proposed an efficient algorithm for finding the earliest time interval when minimum bandwidth and duration are giveny Our algorithm is experimentally compared with the known algorithm.