• Journal of Korean Tunnelling and Underground Space Association
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• v.7 no.1
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• pp.89-96
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• 2005

Due to fast development of digital equipments, various information techniques have been applied to the tunneling and a decision aid system based on IT has also been used during excavation stage. A PDA based informative tunneling method is, therefore, studied in this paper and the decision aids for tunneling using digital face mapping data as well as geologic information in terms of digital data is developed. For this, wireless network, mobile computer, CDMA and digital camera have been combined to generate the digital map of the tunnel face and reinforcement or excavation pattern can be estimated based on digitalized geologic conditions. Future studies will be concentrated on the enhancement of the PDA S/W so that reinforcement method as well as the amount of reinforcements can also be stored in the same DB. Furthermore, field application of the S/W will be undertaken and a virtual reality technique will also be introduced to visualize all the tunneling work on the computer monitor.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.3
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• pp.9-16
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• 2018

The media facade technique requires the matching process of the content to the projection target. For this reason, each time the projection target is changed, the matching process of the same content must be performed again at each time. This problem can be solved by analyzing the elevation of the object and automatically performing matching process of the content in real time and projecting the matched content. In this paper, we propose and implement a new algorithm that can obtain the optimized matching content in real time by analyzing the elevation of the object to be projected. The proposed method processes the image matching by using the depth information of the elevation obtained by IR cameras.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.239-247
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• 2012

This paper is related to an Object VR-based virtual textile wearing system carrying out textile texture mapping based on viewpoint vector estimation and intensity difference map. The proposed system is characterized as capable of virtually wearing a new textile pattern selected by the user to the clothing shape section segmented from multi-view 2D images of clothes model for Object VR(Object Virtual Reality), and three-dimensionally viewing its virtual wearing appearance at multi-view points of the object. Regardless of color or intensity of model clothes, the proposed system is possible to virtually change the textile pattern with holding the properties of the selected clothing shape section, and also to quickly and easily simulate, compare, and select multiple textile pattern combinations for individual styles or entire outfits. The proposed system can provide higher practicality and easy-to-use interface, as it makes real-time processing possible in various digital environment, and creates comparatively natural and realistic virtual wearing styles, and also makes semi-automatic processing possible to reduce the manual works.

• Journal of the Korea Convergence Society
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• v.9 no.8
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• pp.25-32
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• 2018

Recently, the size and type of disasters in Korea has been diversified. However, Korea has not been able to build various information support systems to predict these disasters.Many other organizations also provide relevant information. This information is mainly provided on the Web, but most of it is not real time information. In this study, we have paid attention to support information using big data to provide better quality real - time information together with information provided by institutions. Big data has a large amount of information with real-time property, and it can make customized service using it. Among them, SNS such as Twitter and Facebook can be used as a new information collection medium in case of disaster. However, it is very difficult to retrieve necessary information from too much information, and it is difficult to collect intuitive information. For this purpose, this study develops an information support system using Twitter. The system retrieves information using the Twitter hashtag. Also, information mapping is performed on the map so that intuitive information can be grasped. For system evaluation, information extraction, degree of mapping, and recommendation speed are evaluated.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.3
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• pp.247-257
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• 2020

Livestock epidemics, such as foot and mouth disease, are causing enormous economic losses due to their strong infectious power. Early detection of infectious diseases in livestock is very important, but it is difficult to diagnose early in individual farms, and there are frequent cases of transmission through inter-farm movement such as veterinarians and feeding vehicles. In this study, we studied the technology that enables rapid diagnosis without veterinarian farm visits and prevents further spread by automatically monitoring the body temperature of livestock using ubiquitous-based information and communication technology in the early stage of onset and sending it in real time. We have presented a technique for systematically managing livestock epidemics at the farm level, regional level, and national level by using the community mapping technique by using the remote medical treatment system linked to the automatically collected information. In this process, community mapping items for each step and stakeholders were derived for crowd sourcing based spatial information technology.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1861-1862
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• 2008

전력계통 SCADA시스템은 그 목적상 실시간의 대규모 측정정보 취득을 목적으로 한다. 취득정보는 RTU(Remote Terminal Unit)를 통해서 SCADA시스템에 전해진 후, 필요에 따라 상위 시스템으로 다시 전송된다. 이때 RTU에서 SCADA 시스템에 취득 포인트 정보는 DNP(Distribute Network Protocol) 프로토콜을 이용해서 전송하며, RTU는 측정값의 변동에 상관없이 데이터를 SCADA 시스템에 전송한다. SCADA 시스템을 구축하기 위해서는 우선 RTU에 감시 선로 정보를 입력하고 이 정보를 다시 SCADA 시스템의 DB에 포인트 정보와 매핑을 수행해야한다. 따라서 SCADA 시스템을 구축하는데 비용과 시간이 많이 소요되고 운영 시에는 불필요한 데이터 요청과 응답이 발생하여 네트워크 트래픽을 유발한다. IEC에서 제안하는 GID 표준인터페이스를 사용할 경우에는 좀더 효과적인 데이터 교환이 가능하다. 본 논문은 GID 표준인터페이스를 이용한 효과적인 SCADA 메시지 교환에 관해 기술하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.11a
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• pp.159-160
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• 2017

본 논문에서는 무인기를 통해 수집한 영상을 과학적 분석 및 매핑이 가능한 영상으로 산출하는 자동 기하보정 시스템을 제안한다. 해당 시스템은 무인기를 활용하여 상시적으로 재난 상황을 촬영하여 감시 및 분석을 하며, 무인기에 탑재된 다중복합 센서 데이터의 실시간 처리 분석을 통해 국지적 홍수 재난의 감지 예측 및 상황대응을 지원하고, 통합경보 시스템과 연동하여 대국민 재난 정보를 제공하는 서비스를 위한 요소 기술이다. 현재 본 서비스를 제공할 수 있는 Front to End 시스템이 개발 완료되어 실제 필드에서의 재난 감시 및 예측 성능을 검증하기 위한 필드 테스트를 준비 중에 있다. 이에 본 논문에서는 현재 구축하고 있는 홍수 재난 관리 플랫폼에 대한 내용을 간단히 소개하고, 중요한 기능중 하나인 무인기 촬영 영상의 자동기하보정 시스템에 대해서 논한다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.57-60
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• 2001

Most power retailers adopt systematic, integral supply chain system to minimize the logistics cost. However, small and medium sized retail shops that don't have a distribution channel, unavoidably spend a big amount of distribution cost. This study is to propose an efficient system to manage the information of trucks by using the portable GPS. This system includes the real-time mapping of truck location, the transmission of delivery information from the truck, and the algorithm concerning the selection of the most cost efficient truck.

• Journal of Intelligence and Information Systems
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• v.12 no.2
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• pp.145-165
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• 2006

Information filtering systems, which are designed fur users' needs, do not satisfy user's diverse requests as their filtering accuracy is unstable sometimes. This study suggests an information filtering system based on cognitive brain mapping by simulating the processes of information in human brain. Compared to traditional filtering systems, which use specific words or pattern in their filtering systems, the method suggested in this article uses both key words and relationships among these words. The significance of this study is on simulating information storing processes in human brain by mapping both key words and their relationships among them together. To combine these two methods, this study finds balances in representing two methods by searching optimal weights of each of them.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.277-280
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• 2007

무선통신의 발달에 따라 모바일 장비 기반의 이동성을 고려한 서비스에 관한 연구가 활발하다. 모바일 장비는 제한된 화면크기, 부족한 리소스 등의 한계와 함께 사용자의 이동 중에 발생하는 이벤트를 처리해야 한다는 문제가 있기 때문에, 사용자에게 친숙한 인터페이스와 개별화된 추천 서비스가 요구된다. 본 논문에서는 사용자의 선호도를 반영한 베이지안 네트워크를 이용하여 모바일 장비에서 개인화된 추천 시스템을 개발한다. 실시간으로 변화하는 환경에 적응하도록 네트워크를 설계하기 위하여 전문가에 의해 구조를 설계하고, 수집된 사용자 로그를 바탕으로 파라메터를 학습하여 베이지안 네트워크 모델을 생성한 후, 학습된 모델 기반의 추론결과를 실제 컨텐츠와 비교하여 시스템에 매핑시킴으로써 사용자에게 추천한다. 실제 신촌지역 음식점 추천을 대상으로 실험한 결과, 그 가능성을 확인할 수 있었다.