• Journal of the Korean Recycled Construction Resources Institute
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• v.8 no.4
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• pp.444-449
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• 2020

In this study, On-Board Truck Scale was installed on the construction waste collection / transportation vehicles to monitor the weight of the waste at all stages from generation to final treatment. It was performed as a case study of a construction waste control technology that can efficiently manage the total generating and recycling amount using real-time weight/location information obtained by the On-Board Truck Scale device. As a result of the study, it was confirmed that the total amount of construction waste can be monitored in real time, and a plan for efficient logistics transportation can be derived through the analysis of operation patterns by managing the real-time transport volume, transport distance, and transport time of the construction waste collection / transportation vehicles. It was confirmed that overloading can be prevented in advance by controlling the loading also.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.6
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• pp.563-569
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• 2020

Presenting the impact of meteorological disasters departs from the traditional weather forecasting approach for meteorological phenomena. It is important to provide impact forecasts so that precautions against disruption and damage can be taken. Countries such as the United States, the U.K., and France already conduct impact forecasting for heavy rain, heavy snow, and cold weather. This study improves and applies forecasts of the impact of heavy rain among various weather phenomena in accordance with domestic conditions. A total of 33 impact factors for heavy rain were constructed per 1 km grids, and four impact levels (minimal, minor, significant, and severe) were calculated using standard normal distribution. Estimated criteria were used as indicators to estimate heavy rain risk impacts for 6 categories (residential, commercial, utility, community, agriculture, and transport) centered on people, facilities, and traffic.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.23-29
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• 2021

Recently, a situation in which a specific content service is impossible worldwide has occurred due to a failure of the platform service and a significant social and economic problem has been caused in the global service market. In order to secure the stability of platform services, intelligent platform operation management is required. In this study, big data flow management(BDFM) and implementation method were proposed to quickly detect to abnormal service status in the platform operation environment. As a result of analyzing, BDFM technique improved the characteristics of abnormal failure detection by more than 30% compared to the traditional NMS. The big data flow management method has the advantage of being able to quickly detect platform system failures and abnormal service conditions, and it is expected that when connected with AI-based technology, platform management is performed intelligently and the ability to prevent and preserve failures can be greatly improved.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.227-235
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• 2021

The purpose of this study is to investigate the characteristics of childhood abuse experience, analyze factors affecting gender role attitudes, find out the moderating effect of social support, and suggest preventive measures and alternatives for childhood abuse experiences. proceeded. This study was conducted by the Ministry of Gender Equality and Family, through a domestic violence survey conducted every three years in accordance with the 「Act on the Prevention of Domestic Violence and Victim Protection, etc.」 Analysis was performed on 4,546 people and 4,514 men. As a result, it was found that childhood abuse experience had a negative (-) effect on gender role attitudes, and the analysis of the moderating effect of social support also showed a negative (-) effect. In the future, it is necessary to strengthen awareness of childhood abuse prevention and child protection from the beginning of life, and it is suggested that the level of children's parental education and social support and sufficient measures be prepared for future research.

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.111-117
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• 2023

The oral cavity is a window into the health of the whole body and a gateway for many harmful bacteria. It is a very important part of our body. The biggest advantage of genetic testing is that it can systematically prevent and manage diseases by examining bacteria in the oral cavity and predicting systemic diseases that may occur in our body through big data AI algorithm analysis. Therefore, in this paper, the researcher's family conducts genetic testing directly to derive the results. In this study, in November 2022, 4 family members of the researcher listened to a prior explanation from 1 dentist and 1 dental hygienist at J Dental Clinic, a preventive dental clinic located in Seoul, and after filling out the consent form, oral examination and genetic testing were performed. Genetic testing was performed with Dr.^*** for adults and He^***** products for middle and elementary school students. Genetic testing, which is currently being conducted in Korea, has the advantage that subjects can access it relatively easily without drawing blood, but it also has limitations such as time and cost. Nevertheless, I think it is a part to be highly evaluated in that systemic diseases can be predicted through oral microorganisms.

• Journal of the Korean Institute of Gas
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• v.26 no.2
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• pp.39-48
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• 2022

The domestic gas detector installation standards applied to gas detectors, which are one of the facilities that can prevent accidents such as fire, explosion, and leakage that can cause serious industrial accidents, do not take into account the behavioral characteristics of hazardous chemicals in the atmosphere. It can be seen that the technical basis is insufficient because the standard is applied. Therefore, in this study, the size of the leak hole for each facility mainly used in chemical plants and the diffusion distance according to the concentration of interest of hazardous chemicals were analyzed, and based on this, the optimal installation distance for gas detectors for each material was suggested. Using the method presented in this study, more economical and effective gas detector installation can be expected, and furthermore, it can be expected to help prevent serious industrial accidents.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.123-130
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• 2022

In this paper is one of the measures to prevent concrete collapse accidents at construction sites in advance. Analyzed based on accumulated Meteorological Agency data. It is a reliable model that confirms the prediction of the decrease rate occurrence interval, and the verification items such as p_value is 0.5 or less and ecof appears in one direction through the SARIMA model, which is suitable for regular and clear time series data models, ensure reliability. Significant results were obtained. As a result of analyzing the temperature change by time zone and the water reduce ratio by section using the data secured based on such trust, the water reduce ratio is the highest in the 29-31 ℃ section from 12:00 to 13:00 from July to August. found to show. If a factor in the research result interval occurs using the research results, it is expected that the batch plant will produce Ready-mixed concrete that reflects the water reduce ratio at the time of designing the water-cement mixture, and prevent the decrease in concrete compressive strength due to the water reduce ratio.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.1
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• pp.91-98
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• 2023

With the increasing flood damage by frequently localized heavy rains, flood prediction research are being conducted to prevent flooding damage in advance. In this paper, we present a machine-learning scheme for developing a flooding depth and location prediction model using real-time rainfall data. This scheme proposes a dataset configuration method using the data as input, which can robustly configure various rainfall distribution patterns and train the model with less memory. These data are composed of two: valid total data and valid local. The one data that has a significant effect on flooding predicted the flooding location well but tended to have different values for predicting specific rainfall patterns. The other data that means the flood area partially affects flooding refers to valid local data. The valid local data was well learned for the fixed point method, but the flooding location was not accurately indicated for the arbitrary point method. Through this study, it is expected that a lot of damage can be prevented by predicting the depth and location of flooding in a real-time manner.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.511-511
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• 2023

기후변화로 동절기 기온 저하에 따른 수도계량기의 동파는 지속적으로 심화되고 있으며, 이는 계량기 교체 비용, 누수, 누수량 동결에 의한 2차 피해, 단수 등 사회적 문제를 야기한다. 이와같은 문제를 해결하고자 구조적 대책으로 개별 가정에서 동파 방지형 계량기를 설치할 수 있으나 이를 위한 비용발생이 상당하고, 비구조적 대책으로는 기상청의 동파 지도 알림 서비스를 활용하여 사전적으로 대응하고자 하나, 기상청자료는 대기 온도를 중심으로 제공하고 있기 때문에 해당서비스만으로는 계량기의 동파를 예측하는데 필요한 추가적인 다양한 변수를 활용하는데 한계가 있다. 최근 정부와 공공부문에서 22개 지역, 110개소 이상의 수도계량기함내 IoT 온도센서를 시범 설치하여 계량기 함내의 상태 등을 확인할 수 있는 사업을 수행했다. 전국적인 계량기 상태의 예측과 진단을 위해서는 추가적인 센서 설치가 필요할 것이나, IoT센서 설치 비용 등의 문제로 추가 설치가 더딘 실정이다. 본 연구에서는 겨울 동파 예방을 위해 실제 온도센서를 기반으로 가상센서를 구축하고, 이를 혼합한 하이브리드 방식으로 동파위험 기준에 따라 전국 동파위험 지도를 구축하였다. 가상센서 개발을 위해 독립변수로 위경도, 고도, 음·양지, 보온재 여부 및 기상정보(기온, 강수량, 풍속, 습도)를 활용하고, 종속변수로 실제 센서의 온도를 사용하여 기계학습 모델을 개발하였다. 지역 특성에 따라 정확한 모델을 구축하기 위해 위치정보 및 보온재여부 등의 변수를 활용하여 K-means 방법으로 군집화 하였으며, 각 군집별로 3가지의 기계학습 회귀모델을 적용하였다. 최적의 군집 수를 검토한 결과 4개가 적정한 것으로 판단되었다. 군집의 특성은 지역별 구분과 유사한 패턴을 보이며, 모든 군집에서 Gradient Boosting 회귀모델을 적용하는 것이 적합한 것으로 나타났다. 본 연구에서 개발한 모델을 바탕으로 조건에 따라 동파 예측 알람서비스에 실무적으로 활용할 수 있도록 양호·주의·위험·매우위험 총 4개의 기준을 설정하였다. 실제 본 연구에서 개발된 알고리즘을 국가상수도정보 시스템에 반영하여 테스트 수행중에 있으며, 향후 지속 검증을 할 예정에 있다. 이를 통해 동파 예방 및 피해 최소화, 물절약 등 직간접적 편익이 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.380-380
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• 2023

기후변화와 도시화에 따른 개발사업으로 인하여 재해 위험성은 날로 증가하고 있다. 이로 인한 재해의 영향을 최소화하기 위해 각종 개발사업 시 자연재해대책법에 따라 사전에 자연재해에 따른 피해를 예방하기 위한 목적으로 재해영향평가 협의가 시행되고 있다. 재해영향평가 협의에서 홍수로 인한 재해예방을 위해 개발사업으로 인한 홍수유출 증가량 검토하고 저감 대책을 제시하게 된다. 이중 소규모 재해영향평가는 면적 5천m² 이상 5만m² 미만의 개발사업을 대상으로 실시되고 있으며, 이를 위한 첨두홍수량 산정 방법으로는 합리식, clark단위도법 등이 사용되고 있다. 소규모 유역의 첨두홍수량을 합리식, 단위도법 등으로 산정할 경우 도달시간이 매우 짧아 홍수량이 과다하게 산정된다. 이를 방지하기 위해 합리식에서는 강우지속기간을 늘리기 위해 일정 유입시간을 고려하고 있으며, 단위도법에서는 유역반응시간을 조정하고 있다. 기존의 연구에서 clark단위도법에서 저류상수 매개변수 보정을 7 ~ 10분으로 적용하도록 하고 있다. 본 연구에서는 화성, 양주, 청주지역의 소규모 재해영향평가협의 대상인 공장부지 조성사업의 홍수량 산정시 저류상수 매개변수 조정 사례를 조사하고 그 중 유역의 상황변화를 고려하지 않고 개발 후 매개변수 조정을 10분으로 적용한 10개 사업을 대상으로 선정하였다. 본 연구에서는 개발 후 매개변수 보정량을 10분을 7분으로 변경하여 홍수량을 산정하였다. 10개 사업 홍수량 산정결과 「재해영향평가등의 협의 실무지침 (2021.01, 행정안전부)」에서 제시하는 소유역 비홍수량의 범위인 25 ~ 35m³/s/km²에 8개 사업이 만족되었고, 2개 사업은 개발 후 비홍수량이 제시 범위를 다소 초과하였고, 홍수량의 증가는 4.7 ~ 16.3% 범위로 나타났다. 소규모 유역에서 저류상수 보정량이 홍수량 산정에 미치는 영향이 큰것을 감안하면 유역의 도시화등 상태변화 비율 및 소유역 면적별로 매개변수 조정량을 정량화하는 추가 연구가 필요하다.