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Current Status Analyses and Efficient Strategies Subjected to Safety Management of Small-Scaled Old Buildings (소규모 노후 건축물 안전관리 실태분석 및 효율화 방안)

  • Ji-Eon Lee;Jong-Chan Kim;Sung-Ho Park
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.3
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    • pp.58-70
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    • 2023
  • Based on the current state of safety management for small-scaled old buildings, this study identified problems and proposed improvement plans. The study investigated the current status of safety management based on relevant laws and government and financial portal data, as well as budget documents related to the targets of safety management, the organization responsible for safety management, and the budget required for organizational operation. As a result, the study revealed the problem of safety management blind spots for buildings that are not included in the legal safety inspection targets. It also identified difficulties in securing specialized personnel for the operation of local building safety centers and financial constraints for the operation of building safety special accounting. To address these issues, the study proposed measures such as expanding the scope of safety inspection targets for small-scaled old buildings to reduce safety management blind spots, improving compensation regulations for specialized personnel, setting a minimum ratio for enforcement fines to secure financial resources, and gradually adjusting building permit fees. The study aimed to contribute to improving the efficiency of safety management for small-scaled old buildings based on these proposed measures.

Modeling for Egg Price Prediction by Using Machine Learning (기계학습을 활용한 계란가격 예측 모델링)

  • Cho, Hohyun;Lee, Daekyeom;Chae, Yeonghun;Chang, Dongil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.15-17
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    • 2022
  • In the aftermath of the avian influenza that occurred from the second half of 2020 to the beginning of 2021, 17.8 million laying hens were slaughtered. Although the government invested more than 100 billion won for egg imports as a measure to stabilize prices, the effort was not that easy. The sharp volatility of egg prices negatively affected both consumers and poultry farmers, so measures were needed to stabilize egg prices. To this end, the egg prices were successfully predicted in this study by using the analysis algorithm of a machine learning regression. For price prediction, a total of 8 independent variables, including monthly broiler chicken production statistics for 2012-2021 of the Korean Poultry Association and the slaughter performance of the national statistics portal (kosis), have been selected to be used. The Root Mean Square Error (RMSE), which indicates the difference between the predicted price and the actual price, is at the level of 103 (won), which can be interpreted as explaining the egg prices relatively well predicted. Accurate prediction of egg prices lead to flexible adjustment of egg production weeks for laying hens, which can help decision-making about stocking of laying hens. This result is expected to help secure egg price stability.

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A Study on the Evaluation Indicators for the Establishment of Marine Fisheries Safety Education Facilities (해양수산안전 교육시설 설립을 위한 입지평가요인 도출에 관한 연구)

  • Shin-Young Ha;Bo-Young Kim;Sung-Ho Park
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.30 no.4
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    • pp.340-347
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    • 2024
  • In this study, an expert survey was conducted using the Delphi technique to select items and indicators for evaluation before installing educational facilities in the marine fisheries safety field, in which the educational infrastructure gap between regions is wide. Seven indicators were selected as geographic, social, and administrative factors. In order to objectively evaluate each indicator, evaluation indicators that could be evaluated using public data such as the "Comprehensive National Balanced Development Information System" and "National Statistical Portal" were developed. The Analytic Hierarchy Process (AHP) method was applied to select the weight for each indicator, resulting in 10 most important influencing factors on the selection of the location of educational facilities of the Marine Fisheries Safety Education Facilities: the distribution of marine officers, access to high-speed railways, the number of small ships less than 5 tons, access to highways interchange, the distribution of fishing boats, the close relationship of related industries, the planned new port, the distribution of commercial ports, the number of marine leisure riders, and the availability of long-term land leases in local government councils. The location evaluation index of marine and fishery safety education facilities developed in this study can be used to evaluate each region using national public data, and has the advantage of enabling objective evaluation. Therefore, it is judged that this evaluation index can be used to verify the feasibility of installing marine fisheries safety education facilities as well as other marine-related facilities.

Consumers Perceptions on Monosodium L-glutamate in Social Media (소셜미디어 분석을 통한 소비자들의 L-글루타민산나트륨에 대한 인식 조사)

  • Lee, Sooyeon;Lee, Wonsung;Moon, Il-Chul;Kwon, Hoonjeong
    • Journal of Food Hygiene and Safety
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    • v.31 no.3
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    • pp.153-166
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    • 2016
  • The purpose of this study was to investigate consumers' perceptions on monosodium L-glutamate (MSG) in social media. Data were collected from Naver blogs and Naver web communities (Korean representative portal web-site), and media reports including comment sections on a Yonhap news website (Korean largest news agency). The results from Naver blogs and Naver web communities showed that it was primarily mentioned MSG-use restaurant reviews, 'MSG-no added' products, its safety, and methods of reducing MSG in food. When TV shows on current affairs, newspaper, or TV news reported uses and side effects of MSG, search volume for MSG has increased in both PC and mobile search engines. Search volume has increased especially when TV shows on current affairs reported it. There are more periods with increased search volume for Mobile than PC. Also, it was mainly commented about safety of MSG, criticism of low-quality foods, abuse of MSG, and distrust of government below the news on the Yonhap news site. The label of MSG-no added products in market emphasized "MSG-free" even though it is allocated as an acceptable daily intake (ADI) not-specified by the Joint FAO/WHO Expert Committee on Food Additives (JECFA). When consumers search for MSG (monosodium L-glutamate) or purchase food on market, they might perceive that 'MSG-no added' products are better. Competent authorities, offices of education and local government provide guidelines based on no added MSG principle and these policies might affect consumers' perceptions. TV program or news program could be a powerful and effective consumer communication channel about MSG through Mobile rather than PC. Therefore media including TV should report item on monosodium L-glutamate with responsibility and information based on scientific background for consumers to get reliable information.

Creation of Actual CCTV Surveillance Map Using Point Cloud Acquired by Mobile Mapping System (MMS 점군 데이터를 이용한 CCTV의 실질적 감시영역 추출)

  • Choi, Wonjun;Park, Soyeon;Choi, Yoonjo;Hong, Seunghwan;Kim, Namhoon;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.37 no.5_3
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    • pp.1361-1371
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    • 2021
  • Among smart city services, the crime and disaster prevention sector accounted for the highest 24% in 2018. The most important platform for providing real-time situation information is CCTV (Closed-Circuit Television). Therefore, it is essential to create the actual CCTV surveillance coverage to maximize the usability of CCTV. However, the amount of CCTV installed in Korea exceeds one million units, including those operated by the local government, and manual identification of CCTV coverage is a time-consuming and inefficient process. This study proposed a method to efficiently construct CCTV's actual surveillance coverage and reduce the time required for the decision-maker to manage the situation. For this purpose, first, the exterior orientation parameters and focal lengths of the pre-installed CCTV cameras, which are difficult to access, were calculated using the point cloud data of the MMS (Mobile Mapping System), and the FOV (Field of View) was calculated accordingly. Second, using the FOV result calculated in the first step, CCTV's actual surveillance coverage area was constructed with 1 m, 2 m, 3 m, 5 m, and 10 m grid interval considering the occluded regions caused by the buildings. As a result of applying our approach to 5 CCTV images located in Uljin-gun, Gyeongsnagbuk-do the average re-projection error was about 9.31 pixels. The coordinate difference between calculated CCTV and location obtained from MMS was about 1.688 m on average. When the grid length was 3 m, the surveillance coverage calculated through our research matched the actual surveillance obtained from visual inspection with a minimum of 70.21% to a maximum of 93.82%.