• 한국컴퓨터정보학회논문지
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• 제20권2호
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• pp.71-77
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• 2015

본 논문은 무선 센서 네트워크를 이용하여 동적 애플리케이션 프레임워크 기반의 데이터 수집 및 모니터링 기법을 제안한다. 무선 측정 노드의 펨웨어 프로그램을 위한 애플리케이션 개발의 최적화를 통해서 다양한 센서들과의 통합 및 제어를 수행한다. 사용자 애플리케이션의 수집 데이터는 노드의 온보드 프로세서에서 무선으로 다운로드되고, 노드의 온도 초기값 설정을 사용자 애플리케이션으로부터 변경을 지시할 수 있으므로 측정 노드의 동적 샘플링이 가능하다. 따라서 노드의 동적 샘플링 제어를 통해서 기존의 유선 기반의 데이터 모니터링에 비해 센서의 소비전력을 감소시킬 수 있다.

• 한국전자거래학회지
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• 제14권3호
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• pp.1-13
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• 2009

EAI(Enterprise Application Integration)는 기업 응용통합 기반구조로써 그 역할의 중용성이 강조되어져 왔으며, 기업 전반에 걸친 획기적인 변화와 비용 절감과 새로운 응용서비스를 생성해왔다. 그러나 이러한 서비스를 효과적으로 구현하고, 운영하기 위해서는 지속적인 모니터링과 데이터의 관리가 필요하다. 본 논문에서는 효과적인 서비스의 구현과 안정적인 EAI 환경을 위한 모니터링 시스템의 요구사항과 기능들을 도출하였으며, 이를 웹 기반으로 설계 및 구현을 하였다. 이러한 모니터링 시스템은 웹 기반으로 설계, 구현되어 일반적인 EAI 환경에서 적용이 가능하다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.222-227
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• 2002

This research will examine into the capabilities of KOMPSAI-1 EOC image application in the field of urban environment and at the same time, with that as its foundation, come to understand the urban changes of the study areas. This research is constructed in three stages: Firstly, for application of change detection techniques, which utilizes multi-temporal remotely sensed data, the data normalization process is carried out. Secondly, change detection method is applied fur the systematic monitoring of land use changes, which utilizes multi-temporal EOC images. Lastly, by using the results of the application of land use changes, the existing land use map is updated. Consequently, the land-use change patterns are monitored, which utilize multi-temporal panchromatic EOC image data; and application potentials of ancillary data fur updating existing data can be presented. In this research, with the use of the land use change, monitoring of urban growth has been carried out, and the potential for the application of KOMPSAT-1 EOC images and the scope of application was examined. Henceforth, the future expansion of the scope of application of KOMPSAT-1 EOC image is anticipated.

• 대한원격탐사학회지
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• 제30권3호
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• pp.383-397
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• 2014

Information technology advances are allowing conventional surveillance systems to be combined with mobile communication technologies, creating ubiquitous monitoring systems. This paper proposes monitoring system that uses smart camera technology. We discuss the dependence of interior orientation parameters on calibration target sheets and compare the accuracy of a three-dimensional monitoring system with camera location calculated by space resectioning using a Digital Surface Model (DSM) generated from stereo images. A monitoring housing is designed to protect a camera from various weather conditions and to provide the camera for power generated from solar panel. A smart camera is installed in the monitoring housing. The smart camera is operated and controlled through an Android application. At last the accuracy of a three-dimensional monitoring system is evaluated using a DSM. The proposed system was then tested against a DSM created from ground control points determined by Global Positioning Systems (GPSs) and light detection and ranging data. The standard deviation of the differences between DSMs are less than 0.12 m. Therefore the monitoring system is appropriate for extracting the information of objects' position and deformation as well as monitoring them. Through incorporation of components, such as camera housing, a solar power supply, the smart camera the system can be used as a ubiquitous monitoring system.

• 한국콘텐츠학회논문지
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• 제9권12호
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• pp.504-514
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• 2009

최근 문화재나 시설물 관리를 위한 화재 감시 응용 시스템에 대한 요구가 증대되고 있다. 이러한 화재 감시 시스템은 화재 상황을 대처할 수 있도록 지원함으로써 피해규모를 축소시킬 수 있다. 그러나 기존 시스템은 일정 주기로 화재 감시를 수행함으로써 화재 판단을 지연시키는 단점이 존재한다. 또한 감시 상황을 확인 할 수 있는 사용자 인터페이스를 제공하지 않는다. 따라서 이러한 두 가지 문제점을 해결하기 위하여 첫째, 조기 위험상황 경보를 위해 새로운 화재 판단 알고리즘(Early Fire Detection Algorithm)을 제안한다. 이는 데이터 분포를 기반으로 하여 화재 판단 시작 주기를 동적으로 설정하기 때문에, 화재 판단 시간 측면에서 기존 알고리즘 보다 우수하다. 둘째, 제안하는 화재 판단 알고리즘을 통하여 사용자 인터페이스를 제공하는 화재 감시 응용 시스템을 개발한다. 마지막으로 성능 실험을 통해, 개발된 시스템이 다양한 화재 상황에서 조기 위험상황 경보를 위해 활용될 수 있음을 보인다.

• 디지털산업정보학회논문지
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• 제5권3호
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• pp.9-18
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• 2009

This paper proposes a Ubiquitous Henhouse Monitoring System (UHMS) that can not only monitor henhouse's conditions and raising environments, but also control the henhouse remotely by using sensor network technology. The system consists of three layers. The physical layer connects sensors with facilities. The middleware layer processes and manages data collected from the physical layer. And the application layer provides the user with the user requested services. The system provides a real-time monitoring service, a facility controlling service, an expert service, a consumer safety service, and a mobile message service via interacting with components of each layer. Finally, a henhouse model is defined and the relevant system components and the application GUIs are implemented.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2005년도 총회 및 춘계학술발표회
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• pp.117-121
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• 2005

In order to monitor the levels and seasonal variations of EDCs, samples of the discharged effluent from sewage & wastewater treatment plants and river waters were collected. The target EDCs including bisphenol A and alkylphenols were determined by Laser-induced fluorescence(LIF) as in-situ monitoring technique. The category of EDCs showed similar fluorescence spectra and nearly equal decay time. This point makes it hard to distinguish each EBCs from the EDCs mixture by LIF and LIF results were expressed only by the total EDCs. However, LIF monitoring results and GC-MS results was comparable. The correlation coefficient between EDCs concentration acquired from GC-MS and fluorescence intensity from LIF was significant. This study supports the feasibility of the application of LIF into EDCs monitoring In aquatic system.

• 토지주택연구
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• 제11권1호
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• pp.103-108
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• 2020

Autonomous things system is a technology that judges and acts based on using surrounding information by itself, and it is evaluated as a future technology that can replace the current IoT technology. The current IoT technology is widely used from facility monitoring to machine control but it is shown weakness as a evaluation and prediction technique despite of smart city important technology. In this study, in order to confirm the application of the autonomous things technology, a monitoring system was installed on a real reservoir dam facility and long-term monitoring was performed that the measuring device itself judges and control as a facility monitoring technology. The autonomous things technology was confirmed during 19 months and it is possible to continuous measurement in the same way as current automated instrumentation. In addition, it was confirmed that the ICT device itself could to control autonomously measurement cycle according to the rainfall by itself.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.768-769
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• 2016

뜻하지 않은 재앙과 쾌적한 작업 환경을 구축하기 위해, 위험으로부터 안전한 조작을 유지하기 위한 모니터링 시스템이 필요하다. 실제 다양한 USN 환경에서의 문맥인식 모니터링을 자유롭게 제공하기 위한 응용에 대한 연구들이 필요하다. 본 논문에서는 모바일 폰이나 추론 엔진을 이용하여 작업 환경 모니터링 정보에 대한 시스템의 한가지를 제안하였다. 먼저, 모바일 작업 환경 시스템의 구조를 설계하였고, 또한, 데이터 조작, 추론 엔진, 데이터 베이스 및 지식기반의 응용에 대해 제안하였다.

• 대한산업공학회지
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• 제36권4호
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• pp.230-242
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• 2010

In this paper, an environmental monitoring and diagnosis system based on ubiquitous computing technology, shortly u-Eco Monitoring System, is proposed. u-Eco Monitoring System is designed to: 1) Collect information from the manufacturing processes via ubiquitous computing technology, 2) Analyze the current status, 3) Identify the cause of problem if detected by rule-based and case-based reasoning, and 4) Provide the results to the operator for proper decision making. Based on functional modeling, a generic architecture is derived, followed by application to a manufacturing system in iron and steel making industry. Finally, to show the validity of the proposed method, a prototype is developed and tested. The developed methods can be used as a conceptual framework for designing environmental monitoring and diagnosis system for industrial practices by which monitoring accuracy and response time for abnormal status can be significantly enhanced, and relieving operator pressure from manual monitoring and error-prone decision making.