• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.189-192
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• 2005

Desertification is one of the main global environmental phenomena. It has resulted in deterioration environment and poor economy, and imposed threat to the surviving environment of the overall mankind. Therefore, creating of methods for monitoring and estimate of risk desertification are necessary. Early warning system is one of important ways for monitoring and forecasting of desertification. Remote Sensing and GIS technology are as suitable tools and methods for early warning system. In this aim, we have evaluated of applications of remote sensing and GIS in monitoring and estimating desertification process (case study in Fars Province of Iran). In this research, we have considered erosion and vegetation cover parameters as main factors affecting in desertification process. The result shows that remote sensing and GIS technology could be useful in evaluation of desertification as one method for desertification early warning. Also, Results suggested that erosion and plant cover are affecting in develop the desertification process in study area.

• Journal of Advanced Marine Engineering and Technology
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• v.32 no.1
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• pp.153-161
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• 2008

Recently, the research and development of the fish cage in open sea from domestic is active and it is almost complement with commercial scale test on 'seogwipo'. But domestic technology is not sufficient of management RMS(Remote Monitoring System) with advanced country, so it is difficult to maintenance and monitor fish cage in open sea. This paper introduces a fish cage environmental monitoring system for measuring pH, DO and temperature. A signal is treated with DAU(Data Acquisition Unit) by a wireless communication method and transfers data to host computer for data processing. These data are graphically shown on the monitor with LabVIEW program and logged on the data processing system in the form of file.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.336-340
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• 2006

The cases of using new methods of big blocks are largely increasing on Recent large-scale bridge structures. So the accurate data of responses of bridges following environmental causes are required to be quickly recorded in order to predict. For this reason described above, the research on measuring system should be conducted for more knowledge of the details on application and stability of new methods. In this study, the new health monitoring system that can monitor the real behavior and damages of the bridge during all processes of construction is presented by analyzing cases of domestic and overseas bridge health monitoring system, and applied methods of following bridges.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.11
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• pp.2686-2692
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• 2013

In this paper, various growth environment data collecting and monitoring based on wireless sensor network for greenhouse environmental monitoring system is designed and implemented. In addition, greenhouse control system is proposed to integrated control and management in internal environment and greenhouse facilities. The system provides real-time remote greenhouse integrated management service which collects greenhouse environment information and controls greenhouse facilities based on wireless sensor network. Graphical user interface for an integrated management system is designed based on the HMI and the experimental results show that the sensor data were collected by integrated management in real-time.

• Journal of Environmental Science International
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• v.17 no.5
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• pp.517-524
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• 2008

The purpose of this study was to investigate the characteristics of air quality using data from which obtain local air quality monitoring system for cohort study in Chungju, Korea. We analyzed the concentration data of $NO_2,\;SO_2$, and $PM_{10}$ in Chungju and industrial cities in 2006. We compared a industrial area with a cohort study area using by bicluster algorithm. In the case of $SO_2$, the rate of the cluster time was $10{\sim}60%$ and the cluster time number of two areas was similar. In the case of $NO_2$ and $PM_{10}$, the number of cluster time between a industrial area and cohort study area was clearly different.

• Smart Structures and Systems
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• v.24 no.5
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• pp.617-630
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• 2019

Currently most of the vision-based structural identification research focus either on structural input (vehicle location) estimation or on structural output (structural displacement and strain responses) estimation. The structural condition assessment at global level just with the vision-based structural output cannot give a normalized response irrespective of the type and/or load configurations of the vehicles. Combining the vision-based structural input and the structural output from non-contact sensors overcomes the disadvantage given above, while reducing cost, time, labor force including cable wiring work. In conventional traffic monitoring, sometimes traffic closure is essential for bridge structures, which may cause other severe problems such as traffic jams and accidents. In this study, a completely non-contact structural identification system is proposed, and the system mainly targets the identification of bridge unit influence line (UIL) under operational traffic. Both the structural input (vehicle location information) and output (displacement responses) are obtained by only using cameras and computer vision techniques. Multiple cameras are synchronized by audio signal pattern recognition. The proposed system is verified with a laboratory experiment on a scaled bridge model under a small moving truck load and a field application on a footbridge on campus under a moving golf cart load. The UILs are successfully identified in both bridge cases. The pedestrian loads are also estimated with the extracted UIL and the predicted weights of pedestrians are observed to be in acceptable ranges.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.184-189
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• 2004

A soil moisture measuring method for a hillslope of Korean watershed was developed to configure spatial-temporal distribution of soil moisture. Intensive surveying of topography had been performed to make a refined digital elevation model(DEM) and the hydrological interpretation from flow distribution algorithm was incorporated through reverse surveying. Moreover, A long term measurement system was established to maximize representative features of spatial variation of soil moisture and operated from October 19 to 21, 2003. TDR(Time Domain Reflectometry) with a multiplex monitoring system has been operated for accurate measurements. Measurements were performed at the right side hillslope of Buprunsa located at the sulmachun watershed. The data of temporal and spatial soil moisture variation by rainfall event were collected and the variations of soil moisture were well captured.

• Proceedings of KOSOMES biannual meeting
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• 2008.05a
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• pp.101-104
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• 2008

Inspection of Ship for the Prevention of Marine Pollution, that is After checking system of Marine Pollution according to the 115th of the Law of the Marine Environmental Management, that has been Marine Environmental Surveillant working on the Korea Coast Guard, aboard a ship, inspect to the normal operating q the Marine pollution Prevention Equipment and to Keep, Recording and Management well of All Recording Book of Marine Pollution Materials and to Check the treat results that dust oil and waste mater and discharge from ship during 30years, from 1978 to 2007 year. We offered the new inspection system that the Self Monitoring System that is the ship owner and Captain Voluntary Management the Marine Pollution Equipment for the prevent the marine pollution for the Unburden the Economical Activities and Unbiased of Ship's Crew.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.28 no.2
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• pp.166-174
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• 2018

Objectives: This study aimed to estimate the number and proportion of target workplaces for work environment monitoring and evaluate the implementation rate of work environment monitoring. Methods: A questionnaire survey was conducted by the Ministry of Employment and Labor between March and May 2017 among 96,295 manufacturing businesses with more than five employees. The response rate was 17.8%. Estimates of the number and proportion of target workplaces for work environment monitoring were calculated as follows: number of workplaces where work environment monitoring was performed in 2016 + exposure rate based on the questionnaire * number of workplaces where work environment monitoring was not conducted. Results: Of the 150,655 total manufacturing businesses with more than five employees, 63,146 are estimated to be subject to work environment monitoring, which accounted for 41.9% of the workplaces. It is estimated that 73.3% of the target workplaces performed work environment monitoring. The number of workers exposed to hazardous substances is estimated to be about 0.7~1.2 million. Conclusions: Information on the distribution of workplaces subject to work environment monitoring and the rate of implementation can be used as baseline information for management and evaluation of the effectiveness of the work environment monitoring system.

• Journal of the korean society of oceanography
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• v.39 no.2
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• pp.148-154
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• 2004

This study describes the realtime monitoring system for water quality conditions in coastal waters. Some issues on the data qualify control and quality analysis are examined along with examples of erroneous data. Three different cases of database produced by the realtime monitoring system are presented and analyzed, namely 1) hypoxic condition, 2) over-saturated D.O. and 3) short-term variability of temperature and D.O. In utilizing the realtime database, D.O. prediction and warning models are developed based on autoregressive stochastic process. The model is very simple, yet, users in various levels from powerful and useful with its ability to send warning messages to users in varous levels from governmental administrative staff to local fisherman, and give them some allowances to cope with the situation.