• Journal of Korea Water Resources Association
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• v.56 no.11
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• pp.815-822
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• 2023

Organic pollution is one of the most common forms of water contamination. Under the Water Quality Conservation Act, indicators for measuring organic substances include BOD, COD, and TOC. Analysis of BOD and COD is labor-intensive, and in the case of organic substances where biological decomposition is not feasible or toxic substances are present, the accuracy is often low. Therefore, the Ministry of Environment is shifting towards TOC-centric management. With advancements in sensor technology today, various parameters can be monitored using sensors. In this study, digital monitoring of river TOC using a spectrophotometer called Spectro::lyser V3 was conducted. Initially, experiments were carried out at the Andong River Experiment Center to assess the applicability of the measurement equipment. Subsequently, data collected at the confluence of the Nakdong River was analyzed for the spatial distribution of TOC using the Kriging technique. This research proposes the utilization of sensors for river TOC monitoring and spatial distribution analysis. Real-time monitoring of changes in river TOC concentration can serve as fundamental data for pollution monitoring and response. Sensor-based river monitoring offers advantages in terms of temporal resolution and real-time data acquisition. When various spatial information interpretation methods are applied, it is expected to contribute to diverse studies such as aquatic ecological health, river water source selection, and stratification analysis in the future.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1463-1478
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• 2022

Maritime transport accounts for 99.7% of the exports and imports of the Republic of Korea; therefore, developing a vessel monitoring system for efficient operation is of significant interest. Several studies have focused on tracking and monitoring vessel movements based on automatic identification system (AIS) data; however, ships without AIS have limited monitoring and tracking ability. High-resolution optical satellite images can provide the missing layer of information in AIS-based monitoring systems because they can identify non-AIS vessels and small ships over a wide range. Therefore, it is necessary to investigate vessel monitoring and small vessel classification systems using high-resolution optical satellite images. This study examined the possibility of developing ship monitoring systems using Compact Advanced Satellite 500-1 (CAS500-1) satellite images by first training a deep learning model using satellite image data and then performing detection in other images. To determine the effectiveness of the proposed method, the learning data was acquired from ships in the Yellow Sea and its major ports, and the detection model was established using the You Only Look Once (YOLO) algorithm. The ship detection performance was evaluated for a domestic and an international port. The results obtained using the detection model in ships in the anchorage and berth areas were compared with the ship classification information obtained using AIS, and an accuracy of 85.5% and 70% was achieved using domestic and international classification models, respectively. The results indicate that high-resolution satellite images can be used in mooring ships for vessel monitoring. The developed approach can potentially be used in vessel tracking and monitoring systems at major ports around the world if the accuracy of the detection model is improved through continuous learning data construction.

• Journal of the Korean Society of Marine Environment & Safety
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• v.17 no.3
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• pp.269-274
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• 2011

The purpose of hull stress monitoring system(HSMS) is to lead hull structure to be safer at lower cost. We proposed a hull stress monitoring system for leisure boats using fiber-optic bragg grating(FBG) strain sensor. Fiber optic sensors are well suited for structure monitoring system, due to their ability to withstand harsh environments, immunity to electromagnetic interference, and reduce cabling installation cost when employing wavelength multiplexing. This paper presents an overview of current research and design of hull stress monitoring system for leisure boats.

• Journal of KIISE:Software and Applications
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• v.30 no.10
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• pp.983-991
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• 2003

The Web-based instruction on the internet provides lots of learners with the related information and knowledge beyond time and space. But in the Web-based instruction, there is a problem that the teaming process statuses for learners can be known only through an exam. This paper introduces a web monitoring method to check whether the learner has some problems in learning process and to be able to find out the students with the problems. In the method this paper proposes a learning time prediction model for predicting the proper next study time intervals based on the learner`s learning times and grades on Previous learning units. This method provides the educator with the learning Process statuses for learners. The Loaming prediction model for web-based monitoring can be used to stimulate learners to take the good teaming processes by sending automatically alerting messages if their real teaming times exceeds on his predicted learning time interval. The results of the estimation through case study on the web-based monitoring to use the teaming time prediction model show that most of on-line learners with Poor teaming process statuses get poor grades. In addition, the results show that learner`s poor habits keep going on without change.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.26 no.2
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• pp.117-127
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• 2008

Korea has a large number of landslides due to localized torrential downpours and typhoons in summer, causing great human damage and economic losses. In particular, most roads in the Gangwon area are located in mountains, making them expose to a great risk of landslide. Therefore, it is urgent to prepare countermeasures to prevent these landslides. Necessary for that are various slope investigation and high-tech observation techniques for slope maintenance. Recently there have been slope observation techniques using optical fiber sensors, GPS, CCD cameras, Total Station and satellite images; however, these are not used much due to poor economic feasibility, low accuracy and efficiency. This study evaluated accuracy of displacement extraction of model slopes using terrestrial LiDAR to determine its application to landslide monitoring. As a result, it can measure several mm of minute displacement with high accuracy and help to rapidly obtain geographical features of slope.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1843-1847
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• 2008

국토해양부는 수자원 상황을 효율적으로 모니터링하기 위하여 하천수 관리자, 하천수 사용자 및 일반 국민에게 하천유량, 사용량 및 기타 수문정보를 실시간으로 제공할 수 있는 모니터링 시스템을 시범 구축하였다. 향후 유역 물수지, 하천갈수상황을 분석할 수 있는 시스템을 추가하여 전국의 하천유량을 실시간으로 모니터링하고 관리하기 위하여 실시간 물관리시스템 구축을 추진 중에 있다. 구축된 실시간 물관리 시스템의 효율적 운영을 위해서는 하천 유량 등 수문정보와 더불어 하천 취수량 정보가 필수적이다. 본 연구에서는 실시간 물관리의 핵심자료인 하천수사용량을 실시간 수집할 수 있는 "영상을 이용한 실시간 하천수사용량 수집시스템"을 개발하였다. 개발된 시스템은 유량계 혹은 전력량계를 통해 표출되는 관련정보를 CCTV 카메라로 촬영하여 영상을 취득하고, 문자인식 알고리즘을 활용 수치로 변환하여 사용량을 제공해 주는 시스템이다. 관리자는 영상을 촬영한 후 문자로 인식된 사용량 주서버에 전송하여 저장하기 때문에 사용량과 함께 현장상황을 확인할 수 있다. 개발한 시스템은 다양한 형태의 유량계, 전력량계로 구성되어 있는 계측시설에 대해 적용이 용이하고, 기존 유량계 등을 그대로 활용하여 자료를 수집할 수 있기 때문에 저비용으로 하천수사용량 자료를 수집 관리할 수 있다. 현재 국토해양부에서는 "하천법"에 근거하여 용도별 일정규모이상의 하천수사용자에 대해 일사용량을 월별로 수집하고 있으나, 자발적인 선사용 후보고 체계로 객관성확보가 어렵고 실시간 물관리를 위한 자료로 활용이 곤란한 상황이다. 그러나, 본 시스템을 통해 하천수사용량을 수집할 경우 실시간으로 수치화된 사용량과 영상자료가 전송되어 서버에 저장할 수 있어 객관성을 확보하고 활용도를 높일 수 있는 장점이 있다. 본 시스템은 한강 홍수통제소 관할 허가지점에 3개소, 금강 관할 허가지점에 1개소에 시험적용하여 평가한 결과, 저비용으로 하천수 취수량을 효과적으로 수집할 수 있는 것으로 평가되었다.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.10-19
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• 2014

In recent, hospital information systems are widely used to electronically record, manage and share the data collected in hospitals. Such systems have contributed greatly to improving the work efficiency in modern hospitals, however, the collected data concerning the patients should be appropriately processed and reused to provide the healthcare service providers with decision supports. Especially, this paper proposes the patient flow monitoring system for the operations management of the outpatient department for patients with chronic diseases, and discusses the related issues. The proposed system visualizes the standard process model extracted from the patient history data and various performance measures, and this enables the managers to evaluate and enhance the operations of the outpatient clinic. In this paper, the patient flow monitoring system is applied to the rheumatology clinic, and the prototype system optimized for I-pad is illustrated.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.5
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• pp.985-993
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• 2001

Neural networks are shown to be effective in being able to distinguish incomplete penetration-like weld defects by directly analyzing the plasma which is generated on each impingement of the laser on the materials. The performance is similar to that of existing methods based on extracted feature parameters. In each case around 93% of the defects in a database derived from 100 artificially produced defects of known types can be placed into one of two classes: incomplete penetration and bubbling. The present method based on classification using plasma is faster, and the speed is sufficient to allow on-line classification during data collection.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.4
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• pp.855-860
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• 2014

Currently, aircraft and automobile simulator for training provides a variety of training by making hypothetical situation on a simulator installed on the ground currently. And the instructor maximizes the effectiveness of the training by monitoring training and instructing the required training. When trainees are boarding the aircraft or automobile. The Instructor in the ground is not able to monitoring aircraft, automobile. The assessment of the training is not easy after the end of the training. Therefore, it is difficult to provide high quality of education to the students. In this paper, simulation system is to develop the following. Collecting GPS and real-time information for aircraft, automobile $\grave{a}$implementing 3D simulation. Implementing current image of the aircraft or automobile in the screen by 3D real-time monitoring of training situation at the control center utilizing for training saving 3D video files analysis, evaluation on training after the end of the training.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.891-893
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• 2012

Currently, aircraft and automobile simulator for training provides a variety of training by making hypothetical situation on a simulator Installed on the ground Currently. And the instructor maximizes the effectiveness of the training by Monitoring training and instructing the required training. When trainees are boarding the aircraft or automobile. The Instructor in the ground is not able to monitoring aircraft, automobile. The assessment of the training is not easy after the end of the training Therefore, it is difficult to provide high quality of education to the students. In this paper, Simulation software is to develop the following. Collecting GPS and real-time information for aircraft, automobile ${\grave{a}}implementing$ 3D simulation. Implementing Current image of the aircraft or automobile in the screen by 3D Real-time monitoring of training situation at the control center utilizing for training saving 3D video files Analysis, evaluation on training After the end of the training.