• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.508-508
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• 2022

1973년 기상관측 이후 5년에서 7년 주기로 전국적 및 국지적 가뭄이 반복되고 있으며, 2010년을 기점으로 매년 가뭄이 발생하는 등 지역적 가뭄의 발생빈도도 증가하고 있다. 이러한 가뭄은 특히 농작물 생육 및 수확과 같은 농업 부분에서 가장 큰 영향을 미치고 있으며, 가뭄의 선제적인 대응을 위해서는 시공간적인 진행 상황이나 강도를 객관적인 기준을 통해 파악해야 한다. 가뭄의 경우 2016년 범부처 가뭄예·경보제를 시범 운영하여 2017년부터 본격적으로 시행하고 있으며, 매월 시군별 지역에 대한 농업용수의 가뭄 상황을 4단계 (관심, 주의, 경계, 심각)로 구분하여 발표하고 있다. 농업가뭄의 경우 저수지, 양수장과 같은 농업수리시설의 능력에 대한 의존도가 높아 가뭄이 발생했을 경우, 용수공급시설에서 용수공급이 가능한 물의 양을 파악하여 가용용수 능력을 평가함으로써 농업가뭄에 대응할 수 있는 정도를 파악해야 한다. 현행 농업용 저수지 물 관리 운영의 경우 과거 경험에 의존하는 실정으로 용수관리 및 물 관리자의 개인 역량에 따른 편차가 발생하고 있다. 또한, 전국 모든 농업용 저수지에 평년 저수율을 적용하여 가뭄단계를 산정하기 때문에 개별저수지의 특성을 반영하지 못하는 한계를 갖고 있다. 본 연구에서는 가뭄예·경보를 위한 농업용 저수지 저수율의 가뭄단계별 기준을 개선하고자 한국농어촌공사 관할 농업용 저수지 3,400개를 대상으로 백분위수 (Percentile)를 적용한 저수지 이수관리 기준을 제시하고자 한다. 또한, 빈도분석 및 연속이론 (Run theory)을 적용하여 과거 및 현행 가뭄 판단 및 이수관리 기준들의 가뭄에 대한 선제적 대비능력 및 민감성을 비교·분석하고자 한다.

• Korean Journal of Materials Research
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• v.33 no.12
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• pp.530-536
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• 2023

The theoretical capacity of silicon-based anode materials is more than 10 times higher than the capacity of graphite, so silicon can be used as an alternative to graphite anode materials. However, silicon has a much higher contraction and expansion rate due to lithiation of the anode material during the charge and discharge processes, compared to graphite anode materials, resulting in the pulverization of silicon particles during repeated charge and discharge. To compensate for the above issues, there is a growing interest in SiO_x materials with a silica or carbon coating to minimize the expansion of the silicon. In this study, spherical silica (SiO₂) was synthesized using TEOS as a starting material for the fabrication of such SiO_x through heating in a reduction atmosphere. SiO_x powder was produced by adding PVA as a carbon source and inducing the reduction of silica by the carbothermal reduction method. The ratio of TEOS to distilled water, the stirring time, and the amount of PVA added were adjusted to induce size and morphology, resulting in uniform nanosized spherical silica particles. For the reduction of the spherical monodisperse silica particles, a nitrogen gas atmosphere mixed with 5 % hydrogen was applied, and oxygen atoms in the silica were selectively removed by the carbothermal reduction method. The produced SiO_x powder was characterized by FE-SEM to examine the morphology and size changes of the particles, and XPS and FT-IR were used to examine the x value (O/Si ratio) of the synthesized SiO_x.

• Korean Journal of Remote Sensing
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• v.39 no.5_3
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• pp.909-919
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• 2023

Benthic marine invertebrates, the invertebrates living on the bottom of the ocean, are an essential component of the marine ecosystem, but excessive reproduction of invertebrate grazers or pirate creatures can cause damage to the coastal fishery ecosystem. In this study, we compared and evaluated You Only Look Once Version 7 (YOLOv7), the most widely used deep learning model for real-time object detection, and detection tansformer (DETR), a transformer-based model, using underwater images for benthic marine invertebratesin the coasts of South Korea. YOLOv7 showed a mean average precision at 0.5 (mAP@0.5) of 0.899, and DETR showed an mAP@0.5 of 0.862, which implies that YOLOv7 is more appropriate for object detection of various sizes. This is because YOLOv7 generates the bounding boxes at multiple scales that can help detect small objects. Both models had a processing speed of more than 30 frames persecond (FPS),so it is expected that real-time object detection from the images provided by divers and underwater drones will be possible. The proposed method can be used to prevent and restore damage to coastal fisheries ecosystems, such as rescuing invertebrate grazers and creating sea forests to prevent ocean desertification.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.123-133
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• 2024

Existing autonomous driving technology has been developed based on sensors attached to the vehicles to detect the environment and formulate driving plans. On the other hand, it has limitations, such as performance degradation in specific situations like adverse weather conditions, backlighting, and obstruction-induced occlusion. To address these issues, cooperative autonomous driving technology, which extends the perception range of autonomous vehicles through the support of road infrastructure, has attracted attention. Nevertheless, the real-time analysis of the 3D centroids of objects, as required by international standards, is challenging using single-lens cameras. This paper proposes an approach to detect objects and estimate the centroid of vehicles using the fixed field of view of road infrastructure and pre-measured geometric information in real-time. The proposed method has been confirmed to effectively estimate the center point of objects using GPS positioning equipment, and it is expected to contribute to the proliferation and adoption of cooperative autonomous driving infrastructure technology, applicable to both vehicles and road infrastructure.

• Journal of the Korea Safety Management & Science
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• v.25 no.4
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• pp.141-151
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• 2023

Recently, due to the expansion of the logistics industry, demand for logistics automation equipment is increasing. The modern logistics industry is a high-tech industry that combines various technologies. In general, as various technologies are grafted, the complexity of the system increases, and the occurrence rate of defects and failures also increases. As such, it is time for a predictive maintenance model specialized for logistics automation equipment. In this paper, in order to secure the operational safety and reliability of the parcel loading system, a predictive maintenance platform was implemented based on the Naive Bayes-LSTM(Long Short Term Memory) model. The predictive maintenance platform presented in this paper works by collecting data and receiving data based on a RabbitMQ, loading data in an InMemory method using a Redis, and managing snapshot DB in real time. Also, in this paper, as a verification of the Naive Bayes-LSTM predictive maintenance platform, the function of measuring the time for data collection/storage/processing and determining outliers/normal values was confirmed. The predictive maintenance platform can contribute to securing reliability and safety by identifying potential failures and defects that may occur in the operation of the parcel loading system in the future.

• Journal of the Korean Recycled Construction Resources Institute
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• v.12 no.1
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• pp.25-32
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• 2024

In this study, the mechanical properties of PHC pile concrete using alpha-type hemihydrate gypsum were evaluated. As the replacement ratio of alpha-type hemihydrate gypsum increased, the setting time rapidly accelerated. In particular, when replacement ratio exceeded 20 %, the setting time was shortened due to rapid hydration reaction, making it impossible to secure working time. As the replacement ratio of alpha-type hemihydrate gypsum increased, the ettringite and gypsum peaks tended to increase, and it is believed that the shrinkage of concrete decreased due to the increase in the ettringite peak. At a As the replacement ratio of 5 to 15 % for alpha-type hemihydrate gypsum, the compressive strength increased or was found to be equivalent to that of OPC. But at 20 % substitution, workability deteriorated due to rapid setting, so use of the 5 to 15 % range is considered appropriate.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.60 no.1
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• pp.57-70
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• 2024

In order to present a predictive drift model, Jeju National University's training ship was tested for about 11 hours and 40 minutes, and 81 samples that selected one of the entire samples at ten-minute intervals were subjected to regression analysis after verifying outliers and influence points. In the outlier and influence point analysis, although there is a part where the wind direction exceeds 1 in the DFBETAS (difference in Betas) value, the CV (cumulative variable) value is 6%, close to 1. Therefore, it was judged that there would be no problem in conducting multiple regression analyses on samples. The standard regression coefficient showed how much current and wind affect the dependent variable. It showed that current speed and direction were the most important variables for drift speed and direction, with values of 47.1% and 58.1%, respectively. The analysis showed that the statistical values indicated the fit of the model at the significance level of 0.05 for multiple regression analysis. The multiple correlation coefficients indicating the degree of influence on the dependent variable were 83.2% and 89.0%, respectively. The determination of coefficients were 69.3% and 79.3%, and the adjusted determination of coefficients were 67.6% and 78.3%, respectively. In this study, a more quantitative prediction model will be presented because it is performed after identifying outliers and influence points of sample data before multiple regression analysis. Therefore, many studies will be active in the future by combining them.

• Journal of Advanced Technology Convergence
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• v.3 no.1
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• pp.13-20
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• 2024

This paper discusses a study on a mobile application aimed at making public transportation more convenient for people with mobility challenges on both Android and iOS platforms. The research analyzes the limitations and weaknesses of existing mobile applications for public transportation from the perspective of individuals with mobility challenges. The goal is to overcome these limitations and provide an optimized user experience. The motivation behind this research stems from the recognition that people with mobility challenges face difficulties in their daily commute, and current public transportation applications do not adequately cater to their needs. Consequently, the study aims to develop a specialized mobile application for individuals with mobility challenges to support them in achieving greater independence in their daily travels.

• Journal of Korean Society for Quality Management
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• v.51 no.4
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• pp.715-734
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• 2023

Purpose: Authors suggest a new alternative of preparedness capabilities for health care institutes to react to the new types of communicable diseases and the pandemic situations through the quality improvement and advancement of Negative Pressure Isolation Stretcher (NPIS). Methods: We employed FOCUS-PDCA, a representative quality improvement model. First, we identified and materialized necessary components of existing NPIS to be improved. Second, we fabricated an advanced NPIS prototype. Third, we carried out a performance test by the accreditation institute and an empirical evaluation at the communicable diseases trauma center, to locate the improvement pain points of the prototype. Finally, we draw a conclusion on quality improvement points to be considered during the production stage. Results: The suggested, NPIS outperforms the existing one in terms of communicable disease controls, patient treatments and the safety during the patient transfer, and the ease of use. Additionally, the suggested NPIS turns out to be a proper alternative to satisfy the requirements of long range transfer of patients with communicable disease. Conclusion: Authors developed a quality improved, NPIS prototype. There are several points that still remain to be improved. Additionally, we expect that the concurrent use of the suggested NPIS with the existing one will fortify the preparedness capabilities on reacting to the communicable diseases.

• Journal of the Korea institute for structural maintenance and inspection
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• v.13 no.2 s.54
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• pp.122-128
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• 2009

This study is to improve constructability of LB-DECK construction in site such as inconvenience of main and distribution bars in arrangements LB-DECK Panel which is work is applied to many bridges these days as a permanent formwork. So, the constructability is improved by changing the method of allocation of main reinforcing bar and distribution bar which is reviewed for improving efficiency of design and construction process among the suggested methods. The crack shapes, deflections, and strains under static load of the improvement of LB-DECK Panel are compared and analyzed to former LB-DECK Panel. As a result, 13% of strength compared to before the improvement of LB-DECK Panel, and 10% of strength is increased in the case of slab.