• 한국지구물리탐사학회:학술대회논문집
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• 2002.09a
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• pp.179-195
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• 2002

This paper examined the applicability of geophysical prospecting for water leakage detection of the water utilization facilities. Electrical resistivity survey and spontaneous-potential survey were carried out for the water leakage detection of dike and embankment, and the applicability was confirmed from many case studies. However, in order to efficiently maintain and detection of the more accurate water points in the embankment, the efficiently maintain and detection of the more accurate water leakage points in the embankment, the requirements are as follows; 1) It is necessary to use the electrical resistivity survey jointly with the spontaneous-potential survey in order to improve the reliability of water leakage information. 2) It is important to understand physical properties of the soil which influences the electrical resistivity of embankment in order to accurately grasp the water leakage points from the result of the electrical resistivity survey. 3) It is necessary to introduce the three-dimensional prospecting in order to improve the reliability of the measured value. 4) Introductions of the monitoring measurement system are necessary in order to efficiently and economically maintain of the water utilization facilities.

• The Journal of Engineering Geology
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• v.34 no.1
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• pp.39-49
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• 2024

The construction of underground infrastructure is garnering growing increasing research attention owing to population concentration and infrastructure overcrowding in urban areas. An important associated task is establishing a monitoring system to evaluate stability during infrastructure construction and operation, which relies on developing techniques for ground investigation that can evaluate ground stability, verify design validity, predict risk, facilitate safe operation management, and reduce construction costs. The method proposed here uses satellite imaging in a cost-effective and accurate ground investigation technique that can be applied over a wide area during the construction and operation of infrastructure. In this study, analysis was performed using Synthetic Aperture Radar (SAR) data with the time-series radar interferometric technique to observe surface displacement during the construction of urban underground roads. As a result, it was confirmed that continuous surface displacement was occurring at some locations. In the future, comparing and analyzing on-site measurement data with the points of interest would aid in confirming whether displacement occurs due to tunnel excavation and assist in estimating the extent of excavation impact zones.

• Journal of Environmental Science International
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• v.14 no.10
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• pp.929-935
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• 2005

The Monitoring System developed in this study was designed to help manage the recreational forests by gathering data on visitors' profiles and their opinions about recreational use and related facilities, This data could identify for changing situations in forest recreation demand as well as providing information on planning the management and use of the forest areas in advance. The standardized questionnaire had contained visitor profiles, activities, distribution of use by area, distribution us by time, duration of the visit, expenditure of visitors and information on visitor satisfaction and motivation. Also, the questionnaire had included the evaluations visitors' perception of facilities in order to identify the importance and performance of the various facilities, such as recreational and educational facilities, accomodations, directional signs as well as infrastructure. The monitoring system was developed in the object-oriented programming (OOP) environment. Microsoft Visual Basic 6,0 for the program language, Microsoft Access, and Excel program were used to develop the system. The monitoring system was composed of data input, database, and data analysis system, Once data were put into data input system, it automatically transferred to database, and it eventually produced the results of statistical analysis with one step procedure. This study was integrated with facilities and visitor monitoring system to identify the visitor impact at the recreational forests. In addition, this monitoring system would provide necessary and useful background information for management on recreational use of natural resources in a practical manner.

• Smart Structures and Systems
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• v.22 no.5
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• pp.509-525
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• 2018

Sensors and systems in Civionics technology play an important role for continuously facilitating real-time structure monitoring systems by detecting and locating damage to or degradation of structures. An advanced materials, design processes, long-term sensing ability of sensors, electromagnetic interference, sensor placement techniques, data acquisition and computation, temperature, harsh environments, and energy consumption are important issues related to sensors for structural health monitoring (SHM). This paper provides a comprehensive survey of various sensor technologies, sensor classes and sensor networks in Civionics research for existing SHM systems. The detailed classification of sensor categories, applications, networking features, ranges, sizes and energy consumptions are investigated, summarized, and tabulated along with corresponding key references. The current challenges facing typical sensors in Civionics research are illustrated with a brief discussion on the progress of SHM in future applications. The purpose of this review is to discuss all the types of sensors and systems used in SHM research to provide a sufficient background on the challenges and problems in optimizing design techniques and understanding infrastructure performance, behavior and current condition. It is observed that the most important factors determining the quality of sensors and systems and their reliability are the long-term sensing ability, data rate, types of processors, size, power consumption, operation frequency, etc. This review will hopefully lead to increased efforts toward the development of low-powered, highly efficient, high data rate, reliable sensors and systems for SHM.

• Journal of Astronomy and Space Sciences
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• v.24 no.4
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• pp.389-396
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• 2007

The Global Navigation Satellite System (GNSS) becomes more important and is applied to various systems. Recently, the Galileo navigation system is being developed in Europe. Also, other countries like China, Japan and India are developing the global/regional navigation satellite system. As various global/regional navigation satellite systems are used, the navigation ground system gets more important for using the navigation system reasonably and efficiently. According to this trend, the technology of GNSS Ground Station (GGS) is developing in many fields. The one of purposes for this study is to develop the high precision receiver for GNSS sensor station and to provide ground infrastructure for better performance services on navigation system. In this study, we consider the configuration of GNSS Ground Station and analyze function of Monitoring and Control subsystem which is a part of GNSS Ground Station. We propose Monitoring and Control subsystem which contains the navigation software for GNSS Ground System to monitor and control equipments in GNSS Ground Station, to spread the applied field of navigation system, and to provide improved navigation information to user.

• Smart Structures and Systems
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• v.14 no.5
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• pp.917-942
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• 2014

Multivariate statistics based damage detection algorithms employed in conjunction with novel sensing technologies are attracting more attention for long term Structural Health Monitoring of civil infrastructure. In this study, two practical data driven methods are investigated utilizing strain data captured from a 4-span bridge model by Fiber Bragg Grating (FBG) sensors as part of a bridge health monitoring study. The most common and critical bridge damage scenarios were simulated on the representative bridge model equipped with FBG sensors. A high speed FBG interrogator system is developed by the authors to collect the strain responses under moving vehicle loads using FBG sensors. Two data driven methods, Moving Principal Component Analysis (MPCA) and Moving Cross Correlation Analysis (MCCA), are coded and implemented to handle and process the large amount of data. The efficiency of the SHM system with FBG sensors, MPCA and MCCA methods for detecting and localizing damage is explored with several experiments. Based on the findings presented in this paper, the MPCA and MCCA coupled with FBG sensors can be deemed to deliver promising results to detect both local and global damage implemented on the bridge structure.

• Structural Engineering and Mechanics
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• v.17 no.3_4
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• pp.347-356
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• 2004

In order to extend the lifetime of buildings and civil infrastructure, patch type fibrous composite retrofitting materials are widely used. Retrofitted concrete columns and beams gain stiffness and strength, but lose toughness and show brittle failure. Usually, the cracks in concrete structures are visible to the naked eye and the status of the structure in the life cycle is estimated through visual inspections. After retrofitting of the structure, crack visibility is blocked by retrofitted composite materials. Therefore, structural monitoring after retrofitting is indispensable and self diagnosis method with optical fiber sensors is very useful. In this paper, we try to detect the peel out effect and find the strain difference between the main structure and retrofitting patch material when they separate from each other. In the experiment, two fiber optic Bragg grating sensors are applied to the main concrete structure and the patching material separately at the same position. The sensors show coincident behaviors at the initial loading, but different behaviors after a certain load. The test results show the possibility of optical fiber sensor monitoring of beam structures retrofitted by the composite patches.

• Journal of KIISE:Information Networking
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• v.28 no.4
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• pp.489-497
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• 2001

In the coming age of information warfare, information security patterns take on a more offensive than defensive stance. It is necessary to develop an active form of offensive approach to security protection in order to guard vital information infrastructures and thwart hackers. Information security products need to support an automatic response facility without human intervention in order to minimize damage to the attacked system and cope with the intrusion immediately. This paper presents an automatic intrusion response model which is developed on a Self-Extension Monitoring. It also proposes an ARTEMIS(Advanced Realtime Emergency Management and Intruder Identification System), which is designed and implemented based on the suggested model. The Self-Extension Monitoring using self-protection and replication minimizes spatial limitations on collection of monitoring information and intruder tracing. It enhances the accuracy of intrusion detection and tracing.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.25-37
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• 2009

This Study constructs a dashboard system to synthetically and systematically monitor national R&D information based on data warehouse. Managing the national R&D statistics and trend is important since it provides data for policies and decision making for national R&D. Many agencies related to national R&D information collect the basic R&D statistic data which provides the basis of logical decision making and R&D policies. The data has not well been used. The data has not been consistently collected nor managed. The raw data has not been organized nor processed to meet various demands. The needs has been arisen for a consistent national R&D monitoring system to increase the relevance, accessibility and efficiency of data for various users. This study selects 25 key indicators based on the user requirements and designs data warehouse for supporting the indicators using star schema. The dashboard system is developed in this study provides the infrastructure of monitoring national R&D information and analytic environment of supporting statistical analysis and time-series data analysis.

• Journal of Korean Society of Rural Planning
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• v.26 no.2
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• pp.71-82
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• 2020

This study conducted monitoring and outcome evaluation of three newly-established programs in 'Community Empowerment program in 2019' in Daegwallyeong-myeon. The purpose of the study is to find out the organic relationship between the process and result of the program and its effect on participants by performing two evaluation methods in parallel on the target program. As a result of the research, first, it was found that there was a difference in the degree of acceptance of feedback depending on the instructor who is charging each program. Second, there were two categorized results such as the depth and direction which is changed by the number of monitoring, or similar content being repeated. Third, there was an organic relationship between monitoring evaluation and outcome evaluation. Therefore, it can be said that it is highly likely to lead to more systematic and meaningful results if the community empowerment program is monitored as a process evaluation and outcome evaluation.