• Journal of The Korean Society For Urban Railway
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• v.6 no.4
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• pp.351-361
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• 2018

In this paper, we analyse DDS(Data Distribution Service) QoSs(Quality of Services) with experiments, which can control the network transmission quality provided by 'Object Management Group' DDS standard to satisfy the data transmission quality requirements of 'Real-time integrated railway safety monitoring and control system(RIRSMCS)'. 'RIRSMCS' is a system for collecting and analyzing data from various sensors at a railway field to predict and prevent the risk of potential railway accidents. Data transmission quality should be ensured for transmitting the collected data in real-time, accurately and stably for this system. Experimental results show that it is possible to ensure real-time, accurate and stable data transmission for monitoring and control of railway safety using DDS QoS.

• Ocean and Polar Research
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• v.29 no.2
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• pp.155-165
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• 2007

Recently, coastal erosion has become an important issue in relation to keeping territorial integrity of a nation as well as protecting the coastal marine ecosystem. This study examines some apprehensions about the effectiveness of the existing legal system concerning prevention of coastal erosion. After examining several case studies in Scotland, the USA, and the Netherlands, this study proposes appropriate revisional legal measures that can be applied in Korea: first, the coastal management act should be revised for stronger, enforceable and practical legal grounds emphasizing minimal coastal erosion; second, the proposed "Comprehensive Coastal Erosion Prevention Plan" should be established and implemented in four steps such as characterization of issues through surveys of stakeholders and demand assessment, plan establishment, execution, and maintenance and management; third, there is a demand to establish and implement a legal framework to support monitoring activities which provide important data and information to prevent coastal erosion; fourth, the chronic region of damage is designated as the "Vulnerable Area" to be protected and managed accordingly; fifth, the "Coastal Coordination council" is established and operated for developing an integrated coastal management policy and visions for sustainable coastal zone, as well as coordinating and intervention of any activities which may cause coastal erosion.

• Journal of Wetlands Research
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• v.16 no.1
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• pp.73-83
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• 2014

The government has recently carried out monitoring to attain a better understanding of the current situation and model for prediction of future events pertaining to water quality in the estuarine area of Yeongsan River. But many users have noted difficulties to understand and utilize the results because most monitoring and model data consist of figures and text. The aim of this study is to develop a GIS-based integrated information system to support the understanding of the current situation and prediction of future events about water quality in the estuarine area of Yeongsan River. To achieve this, a monitoring DB is assembled, a linkages model is defined, a GUI is composed, and the system development environment and system composition are defined. The monitoring data consisted of observation data from 2010 ~ 2012 in the estuarine area of Yeongsan River. The models used in the study are HSPF (Hydrological Simulation Program-Fortran) for simulation of the basin and EFDC (Environmental Fluid Dynamics Code) for simulation of the estuary and river. Ultimately, a GIS based system was presented for utilization and expression using monitoring and model data. The system supports prediction of the estuarine area ecological environment quantitatively and displays document type model simulation results in a map-based environment to enhance the user's spatial understanding. In future study, the system will be updated to include a decision making support system that is capable of handling estuary environment issues and support environmental assessment and development of related policies.

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.47-54
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• 2015

To prevent safety hazards in dangerous working area, we have proposed an intelligent image analysis system. Six common patterns of safety violations of workers' are defined and its motion detection algorithms are developed for alarm to CCTV monitoring system. Developed algorithms are implemented at 195 dangerous areas such as chemical and gas treated room. The results of violated motion detection ratio by developed system shows 94.95% of true positive cases, and 0.21% of false positive cases from all 587,645 event cases in one month implementation period. In the period, it is observed that the number of safety rule violations and the following accidents are decreased.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.2
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• pp.238-245
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• 2006

This study presents a design of integrated management system for manufacturing company for the purpose of reducing operation cost and speeding up flow of processes. Since common commercial management package should be well customized to reflect inherent processes of each company with great deal of effort, this study chooses a manufacturing company that produces component parts of automobile as a target company and designs management system specified for that target company. System design focuses on the minimization of the indirect cost of manufacturing reflected on the manufacturing cost price for each functional modules consisting of entire system through adding a mechanism to reduce unnecessary occurrence of process transactions. In addition, this paper considers connectivity among the functional modules so that manufacturing situations can be influenced on the system to be implemented and includes the system design with monitoring modules and data flow between functional modules.

• Journal of the Society of Disaster Information
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• v.20 no.3
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• pp.484-499
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• 2024

Purpose: Recently, due to the aging of safety facilities in national industrial complexes, there has been an increase in the frequency and scale of safety accidents, highlighting the need for a shift toward a prevention-centered disaster management paradigm and the establishment of a digital safety network. In response, this study aims to provide an information system that supports more rapid and precise decision-making during disasters by utilizing digital twin-based integrated control technology to predict the spread of hazardous substances, trace the origin of accidents, and offer safe evacuation routes. Method: We considered various simulation results, such as surface diffusion, upper-level diffusion, and combined diffusion, based on the actual characteristics of hazardous substances and weather conditions, addressing the limitations of previous studies. Additionally, we designed an integrated management system to minimize the limitations of spatiotemporal monitoring by utilizing an IoT sensor-based backtracking model to predict leakage points of hazardous substances in spatiotemporal blind spots. Results: We selected two pilot companies in the Gumi Industrial Complex and installed IoT sensors. Then, we operated a living lab by establishing an integrated management system that provides services such as prediction of hazardous substance dispersion, traceback, AI-based leakage prediction, and evacuation information guidance, all based on digital twin technology within the industrial complex. Conclusion: Taking into account the limitations of previous research, we used digital twin-based AI analysis to predict hazardous chemical leaks, detect leakage accidents, and forecast three-dimensional compound dispersion and traceback diffusion.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.127-130
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• 2002

Recently, with the increasing use of power semiconductors and microprocessors which are very sensitive to little change of power quality and for coping positively with anticipating power quality disputes between power providers and consumers which are possible to occur by of power market being formed, the power quality problem has gained preponderance among the contemporary research areas. To serve these purposes, the integrated system has been researched and developed for power quality analysis and monitoring, which provides speedy and powerful functions by the growth of computer hardware and information technology. But the advent of fast and lower price hardware make little difference in an application on many systems. As a result, the key issues of constructing power quality monitoring system are in the management of data obtained, accurate algorithms, graphic representation and user-friendly-environment for easy and clear analysis results. So, in this paper it will be introduced that the standard of user-friendly-GUI(Graphic User Interface) and analysis graphic representation for intuitive understanding of results from power quality analysis based on consideration of several systems currently being in use.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.6 no.3
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• pp.205-215
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• 2008

SITES(Site Information and Total Environmental Data Management System) has been developed for the purpose of systematically managing site characteristics and environmental data produced during the pre-operational, operational, and post-closure phases of a radioactive waste disposal facility. SITES is an integration system, which consists of 4 modules, to be available for maintenance of site characteristics data, for safety assessment, and for site/environment monitoring; site environmental data management module(SECURE), integrated safety assessment module(SAINT), site/environment monitoring module(SUDAL) and geological information module for geological data management(SITES-GIS). Each module has its database with the functions of browsing, storing, and reporting data and information. Data from SECURE and SUDAL are interconnected to be utilized as inputs to SAINT. SAINT has the functions that multi-user can access simultaneously via client-server system, and the safety assessment results can be managed with its embedded Quality Assurance feature. Comparison between assessment results and environmental monitoring data can be made and visualized in SUDAL and SITES-GIS. Also, SUDAL is designed that the periodic monitoring data and information could be opened to the public via internet homepage. SITES has applied to the Wolsong low- and intermediate-level radioactive waste disposal center in Korea, and is expected to enhance the function of site/environment monitoring in other nuclear-related facilities and also in industrial facilities handling hazardous materials.

• Journal of Sensor Science and Technology
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• v.32 no.6
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• pp.357-369
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• 2023

Wound healing is a complex and dynamic process, making the accurate and timely assessment of skin wounds a crucial aspect of effective wound care management, especially for chronic wounds. Unlike conventional wound dressings that simply cover the wound area once some form of medicine is administered onto the wound, recent studies have introduced versatile approaches to smart wound dressings capable of interacting with wound fluids to monitor physicochemical and pathological parameters to determine the wound healing status. Such electrochemical wound dressings can be integrated with on-demand, closed-loop drug delivery or stimulation systems and ultimately expanded into an ideal technological platform for the prevention, treatment, and management of skin wounds or illnesses. This article briefly reviews the wound healing mechanism and recent strategies for effective wound care management. Specifically, this review discusses the following aspects of smart wound dressings: sensor-integrated smart bandages to detect wound biomarkers, smart bandages developed to accelerate wound healing, and wireless, closed-loop automatic (on-demand) wound healing systems. This review concludes by providing future perspectives on effective wound care management.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.180-186
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• 2022

Agrophotovoltaic (APV) system is an integrated system producing crops as well as solar energy. Because crop production underneath Photovoltaic (PV) modules requires delicate management of crops, smart farming equipment such as real-time remote monitoring sensors (e.g., soil moisture sensors) and micro-climate monitoring sensors (e.g., thermometers and irradiance sensors) is installed in the APV system. This study aims at introducing a decision support system (DSS) for smart farming in an APV system. The proposed DSS is devised to provide a mobile application service, satellite image processing, real-time data monitoring, and performance estimation. Particularly, the real-time monitoring data is used as an input of the DSS system for performance estimation of an APV system in terms of production yields of crops and monetary benefit so that a data-driven function is implemented in the proposed system. The proposed DSS is validated with field data collected from an actual APV system at the Jeollanamdo Agricultural Research and Extension Services in South Korea. As a result, farmers and engineers enable to efficiently produce solar energy without causing harmful impact on regular crop production underneath PV modules. In addition, the proposed system will contribute to enhancement of the smart farming technology in the field of agriculture.