• Title/Summary/Keyword: 센터시스템 평가

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Development of a method for urban flooding detection using unstructured data and deep learing (비정형 데이터와 딥러닝을 활용한 내수침수 탐지기술 개발)

  • Lee, Haneul;Kim, Hung Soo;Kim, Soojun;Kim, Donghyun;Kim, Jongsung
    • Journal of Korea Water Resources Association
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    • v.54 no.12
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    • pp.1233-1242
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    • 2021
  • In this study, a model was developed to determine whether flooding occurred using image data, which is unstructured data. CNN-based VGG16 and VGG19 were used to develop the flood classification model. In order to develop a model, images of flooded and non-flooded images were collected using web crawling method. Since the data collected using the web crawling method contains noise data, data irrelevant to this study was primarily deleted, and secondly, the image size was changed to 224×224 for model application. In addition, image augmentation was performed by changing the angle of the image for diversity of image. Finally, learning was performed using 2,500 images of flooding and 2,500 images of non-flooding. As a result of model evaluation, the average classification performance of the model was found to be 97%. In the future, if the model developed through the results of this study is mounted on the CCTV control center system, it is judged that the respons against flood damage can be done quickly.

A Study on SNS Records Management (기록관리 대상으로서 SNS 연구)

  • Song, Zoo-Hyung
    • The Korean Journal of Archival Studies
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    • no.39
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    • pp.101-138
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    • 2014
  • This study examined the influence and meaning of SNS as the hot topic of our time from the archival perspective and also studied the 'SNS records management'. The many users mean a high accessibility and utilization of SNS, which increase the influence and value of SNS as a record. Politically, SNS is a tool that strengthens the communication among the voters, politicians and the public while economically, it is a window to accept the complaints of the customers and a marketing tool. In addition, the voices of social minorities are also recorded unlike in the traditional media, which makes the SNS record a method to gain the social variety and diversity. SNS is a place of formation of collective memory and collective memory itself. Furthermore, it can play the role of public sphere. It also is a place for generation of 'big data' in an archival sense. In addition, this study has classified the SNS records management into primary and secondary management that include record management entities, subjects, periods, methods, and causes. This study analyzed the history, status, and the meaning of SNS to assess the values and meanings as the preliminary study for the future SNS record management studies.

Environmental Fate Tracking of Manure-borne NH3-N in Paddy Field Based on a Fugacity Model (Fugacity 모델에 기초한 논토양에서의 액비살포에 따른 암모니아성 질소 거동추적)

  • Kim, Mi-Sug;Kwak, Dong-Heui
    • Journal of Korean Society on Water Environment
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    • v.35 no.3
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    • pp.224-233
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    • 2019
  • Nitrogen components in liquid manure can reduce safety and quality of environment harmfully. To minimize the environmental risks of manure, understanding fate of manure in environment is necessary. This study aimed at investigating applicability of a simplified Level III fugacity model for simulating $NH_3-N$ component to analyze environmental fate and transport of $NH_3-N$ in liquid manure and to provide basis for improving management of N in the liquid manure system and for minimizing the environmental impacts of N. The model simulation conducted for four environmental compartments (air, water, soil, and rice plants) during rice-cropping to trace $NH_3-N$ component and provided applicability of the Level III fugacity model in studying the environmental fate of $NH_3-N$ in manure. Most of $NH_3-N$ was found in water body and in rice plants depending upon the physicochemical properties and proper removal processes. For more precise model results, the model is needed to modify with the detailed removal processes in each compartment and to collect proper and accurate information for input parameters. Further study should be about simulations of various N-typed fertilizers to compare with the liquid manure based on a modified and relatively simplified Level III fugacity model.

Development of Gel Sheet Mask Based on Physical Properties Study of Tamarindus indica Seed Gum, Ethanol, Polyols, and Acid/Base Reaction (타마린드씨검과 에탄올, 폴리올 및 산·염기 반응의 물성 연구를 바탕으로 한 겔 시트 마스크의 개발)

  • Yeo, Hye Lim;Lee, Hyo Jin;Kang, Hae-Ran;Jung, So Young;Lee, So Min;Kim, Hyung Mook;Kwak, Byeong-Mun;Lee, Mi-Gi;Bin, Bum-Ho
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.47 no.4
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    • pp.305-316
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    • 2021
  • This study relates to the development of a new gel sheet mask that finally does not require support based on the reactivity and acid/base reaction experiments of Tamarindus indica seed gum (TG), ethanol, and polyols. When TG and a specific alcohol was mixed at a certain mixing ratio, a transparent gel is formed by reaction with each component, and thus a gel sheet mask without support might be obtained using the mixture. In order to maximize skin tone improvement, a carbonation system of acid and base reactions was introduced, and skin brightness and moisturizing power were evaluated using a spectrophotometer and a moisture measuring device. Through this study, it is expected that the gelation reaction by hydrogen bonding of TG, ethanol, and polyols can be developed into various types, and the gel sheet mask formulation introduced in this study is expected to help develop new products in the future.

Performance Assessment of Two Horizontal Shroud Tidal Current Energy Converter using Hydraulic Experiment (수리실험을 통한 수평 2열 쉬라우드 조류에너지 변환장치 성능평가)

  • Lee, Uk-Jae;Choi, Hyuk-Jin;Ko, Dong-Hui
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.34 no.1
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    • pp.1-10
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    • 2022
  • In this study, the two horizontal shroud tidal current energy converter, which can generate power even under low flow speed conditions, was developed. In order to determine the shape of the shroud system, a three-dimensional numerical simulation test was conducted, and a 1/6 scale down model was made to perform a hydraulic model experiment. The hydraulic model experiment was performed under four flow conditions, and the flow speed, torque, and RPM were measured for each experimental case. As a result of the numerical simulation test, it was found that the flow speeds passing through the nozzle were increased by about 2~3 times in the cylinder, and when the extension ratio was 2:1, the highest flow speed was shown. In addition, it was found that the flow speeds increased 2.8 times when the diameter ratio between the nozzle and the cylinder was 1.5:1. Meanwhile, as a result of the hydraulic model experiment, it was found that when the tip speed ratio was between 1.75 and 2, the power coefficient was 0.32 to 0.34.

Development of Mask-RCNN Based Axle Control Violation Detection Method for Enforcement on Overload Trucks (과적 화물차 단속을 위한 Mask-RCNN기반 축조작 검지 기술 개발)

  • Park, Hyun suk;Cho, Yong sung;Kim, Young Nam;Kim, Jin pyung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.5
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    • pp.57-66
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    • 2022
  • The Road Management Administration is cracking down on overloaded vehicles by installing low-speed or high-speed WIMs at toll gates and main lines on expressways. However, in recent years, the act of intelligently evading the overloaded-vehicle control system of the Road Management Administration by illegally manipulating the variable axle of an overloaded truck is increasing. In this manipulation, when entering the overloaded-vehicle checkpoint, all axles of the vehicle are lowered to pass normally, and when driving on the main road, the variable axle of the vehicle is illegally lifted with the axle load exceeding 10 tons alarmingly. Therefore, this study developed a technology to detect the state of the variable axle of a truck driving on the road using roadside camera images. In particular, this technology formed the basis for cracking down on overloaded vehicles by lifting the variable axle after entering the checkpoint and linking the vehicle with the account information of the checkpoint. Fundamentally, in this study, the tires of the vehicle were recognized using the Mask RCNN algorithm, the recognized tires were virtually arranged before and after the checkpoint, and the height difference of the vehicle was measured from the arrangement to determine whether the variable axle was lifted after the vehicle left the checkpoint.

A Study of Awareness of CDC Dental Infection Control Guidelines (CDC 치과감염관리 표준예방지침 인식에 관한 연구)

  • Hye-Young Oh
    • Journal of Korean Dental Hygiene Science
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    • v.6 no.1
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    • pp.27-36
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    • 2023
  • Background: The purpose of the study was to investigate the level of infection control and prevention awareness among dental practitioners in Korea based on the infection control and prevention guidelines of the Centers for Disease Control and Prevention (CDC) in the United States. Methods: A survey was created on 'Standard and Education on CDC Infection Control Standards', 'Matters related to CDC Infection Control Prevention', and 'Characteristics of Research Subjects and Infection Control Characteristics' based on the CDC Dental Infection Control List.' A total of 222 surveys were conducted and used for frequency and cross-tabulation analyses. Results: Most research participants worked at university or general hospitals, and 93.7% had received infection prevention education within the past year. The average awareness of the CDC dental infection control standards and education was 77.2 %, which was higher than previous research results. Preventive awareness was 71.5% on average, and there was a statistically significant difference in preventive awareness between the certified and non-certified evaluation groups (p<0.001). Conclusion: The participants of this study showed a higher awareness of infection control standards, education, and prevention than those in previous studies. However, this was insufficient compared with the CDC dental infection control standard prevention guidelines. Therefore, government agencies and related organizations must establish systematic infection control systems.

Analysis of the Causes of Clustered Scismicity Registered in Yeoncheon, the Middle Part of the Korean Peninsula through Gravity Field Interpretation and Modeling (중력이상 수치해석을 통한 연천지역 군발지진 원인분석)

  • Sungchan Choi;Sung-Wook Kim;Eun-Kyeong Choi;Younghong Shin;Tae-Kyung Hong
    • Economic and Environmental Geology
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    • v.55 no.6
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    • pp.633-648
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    • 2022
  • Gravity data were analyzed to identify the cause of clustered seismicity that occurred intensively in Yeoncheon, located in the central part of the Korean Peninsula. Our analysis suggests that the En echelon faults developed in the northwest-southeast direction. In addition, in the eastern part of the Dongducheon Fault, it was interpreted that high-density lower bedrock intermittently lifts close to the surface due to vertical tectonic movement accompanied by a flower structure. The fracture zone of the Dongducheon Fault is estimated that the width is about 200 m, the depth is at least 5 km, and the density is about 15% lower than the adjacent rocks. It is analyzed that the shallow earthquakes that occurred within 5 km depth was concentrated along the low-density En echelon fault fracture zone developed between the high-density rocks intruding close to the surface. Therefore, the earthquakes can be interpreted as the result that the north-south stress caused by the dextral tectonic movement of the Dongducheon Fault activated the En echelon fault in the northwest-southeast direction.

Understanding User Perception of Generative AI and Copyright of AI-Generated Outputs: focusing on differences by user group (생성 AI와 AI 창작물 저작권에 대한 사용자의 인식 연구: 사용자 그룹의 차이를 중심으로)

  • Dahye Choi;Jungyong Kim;Daeun Han;Changhoon Oh
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.777-786
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    • 2023
  • Generative AI systems are expected to be more widely utilized. However, relatively little attention has been paid to understanding how users perceive and accept generative AI results. To identify strategies for increasing the future use of generative AI and prepare for potential issues, we organized design workshop for the general user group and the designer group. They created artwork utilizing Novel AI and semi-structured interview was followed to evaluate their attitudes toward generative AI and its copyright. Results indicate that the general public views generative AI positively, while the design-related group views it quite negatively. The participants expressed concerns as to the misuse the system, specifically related to copyright issues. People who are likely to utilize generative AI outcomes have insisted more strongly that copyrights should be their own. Those working in the design field highly evaluated the possibility of using generative AI in their work. Copyright perceptions were not significantly influenced by users' satisfaction or their level of involvement in the creation process. We discuss design implications for interfaces using generative AI based on the findings.

Existing Population Exposure Assessment Using PM2.5 Concentration and the Geographic Information System (지리정보시스템(GIS) 및 존재인구를 이용한 초미세먼지(PM2.5) 노출평가)

  • Jaemin, Woo;Gihong, Min;Dongjun, Kim;Mansu, Cho;Kyeonghwa, Sung;Jungil, Won;Chaekwan, Lee;Jihun, Shin;Wonho, Yang
    • Journal of Environmental Health Sciences
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    • v.48 no.6
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    • pp.298-305
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    • 2022
  • Background: The concentration of air pollutants as measured by the Air Quality Monitoring System (AQMS) is not an accurate population exposure level since actual human activities and temporal and spatial variability need to be considered. Therefore, to increase the accuracy of exposure assessment, the population should be considered. However, it is difficult to obtain population data due to limitations such as personal information. Objectives: The existing population defined in this study is the number of people in each region's grid. The purpose is to provide a methodology for evaluating exposure to PM2.5 through existing population data provided by the National Geographic Information Institute. Methods: The selected study period was from October 26 to October 28, 2021. Using PM2.5 concentration data measured at the Sensor-based Air Monitoring Station (SAMS) installed in Guro-gu and Wonju-si, the concentration for each grid was estimated by applying inverse distance weights through QGIS version 3.22. Considering the existing population, population-weighted average concentration (PWAC) was calculated and the exposure level of the population was compared by region. Results: The outdoor PM2.5 concentration as measured through the SAMS was high in Wonju-si on all three days. Wonju-si showed an average 22% higher PWAC than Guro-gu. As a result of comparing the PWAC and outdoor PM2.5 concentration by region, the PWAC in Guro-gu was 1~2% higher than the observed value, but it was almost the same. Conversely, observations of Wonju-si were 10.1%, 11.3%, and 8.2% higher than PWAC. Conclusions: It is expected that the Geographic Information System (GIS) method and the existing population will be used to evaluate the exposure level of a population with a narrow activity radius in further research. In addition, based on this study, it is judged that research on exposure to environmental pollutants and risk assessment methods should be expanded.