• The Journal of Bigdata
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• v.8 no.1
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• pp.49-59
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• 2023

There are various items in the safety and health standards of the manufacturing industry, but they can be divided into work-related diseases and musculoskeletal diseases according to the standards for sickness and accident victims. Musculoskeletal diseases occur frequently in manufacturing and can lead to a decrease in labor productivity and a weakening of competitiveness in manufacturing. In this paper, to detect the musculoskeletal harmful factors of manufacturing workers, we defined the musculoskeletal load work factor analysis, harmful load working postures, and key points matching, and constructed data for Artificial Intelligence(AI) learning. To check the effectiveness of the suggested dataset, AI algorithms such as YOLO, Lite-HRNet, and EfficientNet were used to train and verify. Our experimental results the human detection accuracy is 99%, the key points matching accuracy of the detected person is @AP0.5 88%, and the accuracy of working postures evaluation by integrating the inferred matching positions is LEGS 72.2%, NECT 85.7%, TRUNK 81.9%, UPPERARM 79.8%, and LOWERARM 92.7%, and considered the necessity for research that can prevent deep learning-based musculoskeletal diseases.

• Journal of the Korean Geotechnical Society
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• v.39 no.1
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• pp.15-25
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• 2023

Recent weather changes have led to an increase in heavy rainfall resulting in frequent large-scale slope failures. To minimize damage to life and property, a measurement system is used in slope failure warning systems. However, understanding the slope failure behavior is difficult as the measurement system only measures a specific point. Therefore, numerical analysis must be p erformed with the measurement system. The soil water characteristic curve (SWCC) drying curve and boundary conditions that consider evapotranspiration and precipitation have been applied to numerical analysis, but the hysteresis of SWCC affects the numerical analysis results. To address this, a new evapotranspiration calculation method is proposed and applied to boundary conditions, and the measurement data are compared with the results of the numerical analysis. This method takes into account the different infiltration behaviors on evapotranspiration according to the drying and wetting curves of the SWCC, and allows for a more rational prediction of water movement on unsaturated slopes.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.484-484
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• 2022

서식지적합도지수(Habitat Suitability Index, HSI)는 어류의 환경생태유량(Environmental Ecological Flow) 산정과 관련해 국내외에서 PHABSIM (Physical Habitat Simulation System)이나 River2D 모형과 같은 생태수리 모형에 적용되고 있으며, 특히 물리적서식지모의시스템은 흐름특성(유량유속, 수심 등)의 변화에 대한 하도구간 내 대표어종의 물리적 서식지 변화를 예측하여 대상 어종에 대한 가용서식지면적(어류가 살 수 있는 서식지 면적, Weighed Usable Area, WUA)유량 관계를 통해 서식에 필요한 최적 유량을 산정하는 데 목적이 있다. 물리적 서식지적합도지수 산정과 화학적 서식지적합도지수 산정방법은 WDFW (Washington Department of Fish and Wildlife, 2004)방법과 IFASG (Instream Flow and Aquatic Systems Group, 1986)의 방법으로 산정하였다. 섬진강에서 2020년에는 3개지점, 2021년에는 2020년 3개지점과 새로운 3개지점에 대하여 각각 4, 5, 6, 9, 10 및 11월에 어류 조사 및 물리적 조건 등에 대하여 현장 모니터링을 실시하였다. 2차년도 동안 모니터링 결과 섬진강에서는 줄납자루, 섬진자가사리, 참중고기, 참몰개, 잉어, 붕어, 칼납자루, 큰납지리, 누치, 모래무지, 피라미, 치리, 블루길, 배스 14종에 대하여 물리적 및 화학적 HSI를 산정하였다. 주요종의 WDFW 방법에 따른 큰줄납자루는 수심 0.3~0.6 m, 유속 0.1~0.4 m/s, 섬진자가사리는 수심 0.2~0.5 m, 유속 0.3~0.7 m/s, 참중고기는 수심 0.4~0.8 m, 유속 0.1~0.6 m/s, 피라미는 수심 0.3~0.7 m, 유속 0.1~0.5 m/s로 산정되었다. IFASG 방법으로 큰줄납자루는 섬진강에서는 수심 0.64 m에서 최대의 출현도를 보였으며, HSI는 0.46~0.83 m, 유속은 0.59 m/s에서 최대의 출현도를 보였고, HSI는 0.38~0.83 m/s, 하상기질의 선호도는 평균입경(𝚽m) -1.14(grevel)에서 최대의 출현도를 보였으며, HSI -3.35~0.65(grevel~sand)로 산정되었다. 화학적 HSI 산정결과 큰줄납자루는 BOD는 1.0 mg/L에서 최대 출현도를 보였고, HSI는 0.7~1.2 mg/L, T-N은 0.925 mg/L에서 최대 출현도를 보이며 HSI는 0.604~1.277 mg/L, T-P는 0.028 mg/L에서 최대 출현도를 보이며 HSI는 0.021~0.034 mg/L, SS는 3.6 mg/L에서 최대 출현도를 보이며, HSI는 2.1~5.2 mg/L의 범위로 산정되었다. 산정된 범위는 환경부 생활환경기준 BOD 매우좋음(Ia)~좋음(Ib), T-P 매우좋음(Ia)~좋음(Ib) 등급으로 각각 확인되었다. 본 과제는 3차년(2022년)이 아직 남아 있어 HSI에 대하여 약간 보정이 있을 것이며, 최종 HSI가 산정이 되면 향후 환경적 기능을 고려한 중장기 정부 정책의 활용성 높은 기초자료가 될 것이다.

• Journal of the Korean Recycled Construction Resources Institute
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• v.11 no.4
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• pp.355-363
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• 2023

In safety assessment of a aged bridge, dynamic characteristics and displacement are directly related to the rigidity of the structural system, especially displacement is the most important factor as the physical quantity that the bridge user can directly detect. However, in order to measure the displacement of the bridge, it is difficult to install displacement sensors at the bottom of the bridge and conduct traffic blocking and loading tests, resulting in increased costs or impossible measurements depending on the bridge's environment. In this study, a method of measuring the displacement of a bridge using only accelerometers without installing displacement sensors and ambient vibration without a loading test was proposed. For the analysis of bridge dynamic characteristics and displacement using ambient vibration, the mode shape and natural frequency of the bridge were extracted using a TDD technique known to enable quick analysis with simple calculations, and the unit load displacement of the bridge was analyzed through flexibility analysis to calculate static displacement. To verify this proposed technology, an on-site test was conducted on C Bridge, and the results were compared with the measured values of the loading test and the structural analysis data. As a result, it was confirmed that the mode shape and natural frequency were 0.42 to 1.13 % error ratio, and the maximum displacement at the main span was 3.58 % error ratio. Therefore, the proposed technology can be used as a basis data for indirectly determine the safety of the bridge by comparing the amount of displacement compared to the design and analysis values by estimating the displacement of the bridge that could not be measured due to the difficulty of installing displacement sensors.

• Journal of Venture Innovation
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• v.5 no.1
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• pp.145-154
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• 2022

This study briefly compares the first-cycle certification of nursing hospitals with the second-cycle certification, reviews the changes and achievements of the second-cycle certification and the third-cycle certification, and examples of challenges and solutions in the process of preparing the third-cycle certification. In this study, it is suggested as follows. First, in order to see the practical effect of certification intended by the government, the exhibition is prepared in a short period of time before certification. Second, after the implementation of the nursing hospital certification system, research on the hospital performance of the medical institution certification system is insufficient in terms of quality and quantity. Therefore, in order to see the effect on the certification system, various research support is also required so that research on this can be actively conducted. Third, design certification standard guidelines from a long-term perspective so that the standard guidelines for certification do not change significantly, and certify not only the guidelines but also individual standards and forms that can be used by medical institutions. Fourth, in the four-cycle certification, accurate and realistic guidelines for infection control and quarantine ward operation support should be developed. The importance of managing infectious diseases will be highlighted in the future due to COVID-19. Fifth, medical institutions can improve the quality of medical care in nursing hospitals and have competitiveness if their daily activities, not short-term certification preparation, are carried out in accordance with certification standards, which affects performance. Sixth, when preparing for certification, nursing hospital officials have problems in organizing documents or processing administratively in the short term as in the past. This is also based on the certification criteria for the usual business process.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.55-68
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• 2024

Plant engineering companies create or refer to requirements documents for each related field, such as plant process/equipment/piping/instrumentation, in different engineering departments. The process-related requirements document includes not only a description of the process but also the requirements of the equipment or related facilities that will operate it. Since the authors and reviewers of the requirements documents are different, there is a possibility that inconsistencies may occur between equipment or parts design specifications described in different requirement documents. Ensuring consistency in these matters can increase the reliability of the overall plant design information. However, the amount of documents and the scattered nature of requirements for a same equipment and parts across different documents make it challenging for engineers to trace and manage requirements. This paper proposes a method to analyze requirement sentences and calculate the similarity of requirement sentences in order to identify semantically identical sentences. To calculate the similarity of requirement sentences, we propose a named entity recognition method to identify compound words for the parts and properties that are semantically central to the requirements. A method to calculate the similarity of the identified compound words for parts and properties is also proposed. The proposed method is explained using sentences in practical documents, and experimental results are described.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.2
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• pp.79-88
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• 2024

We used actual field data to analyze from a traffic engineering perspective how AI and edge computing technologies affect the reduction of traffic accidents. By providing object information from 20m behind with AI object recognition, the driver secures a response time of about 3.6 seconds, and with edge technology, information is displayed in 0.5 to 0.8 seconds, giving the driver time to respond to intersection situations. In addition, it was analyzed that stopping before entering the intersection is possible when speed is controlled at 11-12km at the 10m point of the intersection approach and 20km/h at the 20m point. As a result, it was shown that traffic accidents can be reduced when the high object recognition rate of AI technology, provision of real-time information by edge technology, and the appropriate speed management at intersection approaches are executed simultaneously.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.1
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• pp.49-62
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• 2024

Reckless development of the underground by rapid urbanization causes inspection delay on replacement of existing structure and installation new facilities. However, frequent accidents occur due to deviation in construction design planned by inaccurate location information of underground structure. Meanwhile, the electrical resistivity survey, knowns as non-destructive method, is based on the difference in the electric potential of electrodes to measure the electrical resistance of ground. This method is significantly advanced with multi-electrode and deep learning for analyzing strata. However, there is no study to quantitatively assess change in electrical resistance according to geometric conditions of structures. This study evaluates changes in electrical resistance through geometric parameters of electrodes and structure. Firstly, electrical resistance numerical module is developed using generalized mesh occurring minimal errors between theoretical and numerical resistance values. Then, changes in resistances are quantitatively compared on geometric parameters including burial depth, diameter of structure, and distance electrode and structure under steady current condition. The results show that higher electrical resistance is measured for shallow depth, larger size, and proximity to the electrode. Additionally, electric potential and current density distributions are analyzed to discuss the measured electrical resistance around the terminal electrode and structure.

• Journal of the Korean Geotechnical Society
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• v.40 no.1
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• pp.5-14
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• 2024

PHC piles demonstrate superior resistance to compression and bending moments, and their factory-based production enhances quality assurance and management processes. Despite these advantages that have resulted in widespread use in civil engineering and construction projects, the design process frequently relies on empirical formulas or N-values to estimate the soil-pile friction, which is crucial for bearing capacity, and this reliance underscores a significant lack of experimental validation. In addition, environmental factors, e.g., the pH levels in groundwater and the effects of seawater, are commonly not considered. Thus, this study investigates the influence of vibrating machine foundations on PHC pile models in consideration of the effects of varying pH conditions. Concrete model piles were subjected to a one-month conditioning period in different pH environments (acidic, neutral, and alkaline) and under the influence of seawater. Subsequent repeated direct shear tests were performed on the pile-soil interface, and the disturbed state concept was employed to derive parameters that effectively quantify the dynamic behavior of this interface. The results revealed a descending order of shear stress in neutral, acidic, and alkaline conditions, with the pH-influenced samples exhibiting a more pronounced reduction in shear stress than those affected by seawater.

• 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.