• 방사성폐기물학회지
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• 제20권4호
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• pp.489-500
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• 2022

The decommissioning of nuclear facilities produces various types of radiologically contaminated waste. In addition, dismantlement activities, including cutting, packing, and clean-up at the facility site, result in secondary radioactive waste such as filters, resin, plastic, and clothing. Determining of the radionuclide content of this waste is an important step for the determination of a suitable management strategy including classification and disposal. In this work, we radiochemically characterized the radionuclide activities of filters used during the decommissioning of Korea Research Reactors (KRRs) 1 and 2. The results indicate that the filter samples contained mainly ³H (500-3,600 Bq·g^-1), ¹⁴C (7.5-29 Bq·g^-1), ⁵⁵Fe (1.1- 7.1 Bq·g^-1), ⁵⁹Ni (0.60-1.0 Bq·g^-1), ⁶⁰Co (0.74-70 Bq·g^-1), ⁶³Ni (0.60-94 Bq·g^-1), ⁹⁰Sr (0.25-5.0 Bq·g^-1), ¹³⁷Cs (0.64-8.7 Bq·g^-1), and ¹⁵²Eu (0.19-2.9) Bq·g^-1. In addition, the gross alpha radioactivity of the samples was measured to be between 0.32-1.1 Bq·g^-1. The radionuclide concentrations were below the concentration limit stated in the low- and intermediatelevel waste acceptance criteria of the Nuclear Safety and Security Commission, and used for the disposal of the KRRs waste drums to a repository site.

• 한국응용곤충학회지
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• 제61권4호
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• pp.659-664
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• 2022

Putrescine은 일반적으로 미생물의 활동에 의해 발생되며, 신선함의 척도로서 사용된다. 그러나 동결건조된 로열젤리에 대한 putrescine의 분석법은 아직 확립되지 않은 실정이다. 본 연구에서는 C18 컬럼을 이용하여 동결건조 로열젤리 내 putrescine을 분석하기 위한 UPLC 분석법을 확립하고자 하였다. 새롭게 확립된 분석법은 7분 이내에 putrescine을 분석 가능하였으며, 이러한 분석법을 검증하기 위해 특이성, 직선성, 정밀성, 정확성, 정량한계, 정성한계 등을 평가하였다. 본 연구를 통해 동결건조 로열젤리의 신선한 정도를 평가하기 위한 분석법을 제공하였으며, 추후 안전성의 척도에 대한 자료로서 활용 가능할 것으로 기대되어진다.

• 대한의용생체공학회:의공학회지
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• 제44권2호
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• pp.125-138
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• 2023

The development of AI systems for radiation therapy is important to improve the accuracy, effectiveness, and safety of cancer treatment. The current system has the disadvantage of monitoring patients using CCTV, which can cause errors and mistakes in the treatment process, which can lead to misalignment of radiation. Developed the PMRP system, an AI automation system that uses depth cameras to measure patient's fine movements, segment patient's body into parts, align Z values of depth cameras with Z values, and transmit measured feedback to positioning devices in real time, monitoring errors and treatments. The need for such a system began because the CCTV visual monitoring system could not detect fine movements, Z-direction movements, and body part movements, hindering improvement of radiation therapy performance and increasing the risk of side effects in normal tissues. This study could provide the development of a field of radiotherapy that lags in many parts of the world, along with the economic and social importance of developing an independent platform for radiotherapy devices. This study verified its effectiveness and efficiency with data through phantom experiments, and future studies aim to help improve treatment performance by improving the posture correction mechanism and correcting left and right up and down movements in real time.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.250-256
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• 2009

This paper presents a robotic tower-crane system using encoder and gyroscope sensors as path tracking devices. Tower crane work is often associated with falling accidents and industrial disasters. Such problems often incur a loss of time and money for the contractor. For this reason, many studies have been done on an automatic tower crane. As a part of 5-year 23-million-dollar research project in Korea, we are developing a robotic tower crane which aims to improve the safety level and productivity. We selected a luffing tower crane, which is commonly used in urban construction projects today, as a platform for the robotic tower crane system. This system comprises two modules: the automated path planning module and the path tracking module. The automated path planning system uses the 3D Cartesian coordinates. When the robotic tower crane lifts construction material, the algorithm creates a line, which represents a lifting path, in virtual space. This algorithm seeks and generates the best route to lift construction material while avoiding known obstacles from real construction site. The path tracking system detects the location of a lifted material in terms of the 3D coordinate values using various types of sensors including adopts encoder and gyroscope sensors. We are testing various sensors as a candidate for the path tracking device. This specific study focuses on how to employ encoder and gyroscope sensors in the robotic crane These sensors measure a movement and rotary motion of the robotic tower crane. Finally, the movement of the robotic tower crane is displayed in a virtual space that synthesizes the data from two modules: the automatically planned path and the tracked paths. We are currently field-testing the feasibility of the proposed system using an actual tower crane. In the next step, the robotic tower crane will be applied to actual construction sites with a following analysis of the crane's productivity in order to ascertain its economic efficiency.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.95-100
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• 2023

Due to Traffic accidents people faces health and economical casualties around the world. As the population increases vehicles on road increase which leads to congestion in cities. Congestion can lead to increasing accident risks due to the expansion in transportation systems. Modern cities are adopting various technologies to minimize traffic accidents by predicting mathematically. Traffic accidents cause economical casualties and potential death. Therefore, to ensure people's safety, the concept of the smart city makes sense. In a smart city, traffic accident factors like road condition, light condition, weather condition etcetera are important to consider to predict traffic accident severity. Several machine learning models can significantly be employed to determine and predict traffic accident severity. This research paper illustrated the performance of a hybridized neural network and compared it with other machine learning models in order to measure the accuracy of predicting traffic accident severity. Dataset of city Leeds, UK is being used to train and test the model. Then the results are being compared with each other. Particle Swarm optimization with artificial neural network (PSO-ANN) gave promising results compared to other machine learning models like Random Forest, Naïve Bayes, Nearest Centroid, K Nearest Neighbor Classification. PSO- ANN model can be adopted in the transportation system to counter traffic accident issues. The nearest centroid model gave the lowest accuracy score whereas PSO-ANN gave the highest accuracy score. All the test results and findings obtained in our study can provide valuable information on reducing traffic accidents.

• 한국지반공학회논문집
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• 제25권12호
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• pp.69-85
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• 2009

댐체의 내진설계를 위해서 각 부분의 정확한 동적 물성치 산정이 매우 중요하다. 그러나 기존 댐체의 내진 설계시 현장 시험결과 없이 가정 물성을 이용하거나 문헌연구를 이용하여 해석을 수행하여 신뢰성 있는 결과를 도출하지 못하였다. 따라서 현장 실험을 통하여 댐체의 전단파속도로 대표되는 동적물성치를 효율적으로 획득해야 한다. 이를 위하여 본 연구에서는 표면파 탐사 기법을 적용하여 락필댐 심벽부와 사력부의 전단파 속도를 도출하였다. 대표적인 표면파 기법인 SASW기법과 새롭게 개발된 HWAW 기법을 이용하여 6개 댐에서 수행하여 전단파 속도를 획득하였으며, 기존 연구결과를 종합하여 댐체의 깊이별 전단파 속도의 D/B와 구속압-전단파속도 관계식를 구축하였다. 획득한 D/B와 관계식은 기존에 사용되었던 Sawada와 Takahashi의 결과와 비교 분석하였다

• 센서학회지
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• 제32권3호
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• pp.140-146
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• 2023

Water quality is crucial for human health and the environment. Accurate measurement of the quantity of organic carbon in water is essential for water quality evaluation, identification of water pollution sources, and appropriate implementation of water treatment measures. Total organic carbon (TOC) analysis is an important tool for this purpose. Although other methods, such as chemical oxygen demand (COD) and biochemical oxygen demand (BOD) are also used to measure organic carbon in water, they have limitations that make TOC analysis a more favorable option in certain situations. For example, COD requires the use of toxic chemicals, and BOD is time-consuming and can produce inconsistent and unreliable results. In contrast, TOC analysis is rapid and reliable, providing accurate measurements of organic carbon content in water. However, common methods for TOC analysis can be complex and energy-intensive because of the use of high-temperature heaters for liquid-to-gas phase transitions and the use of acid, which present safety risks. This study focuses on a TOC analysis method using TiO₂ photocatalysis, which has several advantages over conventional TOC analysis methods, including its low cost and easy maintenance. For TiO₂, rutile and anatase powders are mixed with an inorganic binder and spray-coated onto a glass fiber substrate. The TiO₂ powder and inorganic binder solutions are adjusted to optimize the photocatalytic reaction performance. The TiO₂ photocatalysis method is a simple and low-power approach to TOC analysis, making it a promising alternative to commonly used TOC analysis methods. This study aims to contribute to the development of more efficient and cost-effective approaches for water quality analysis and management by exploring the effectiveness and reliability of the developed equipment.

• 한국지반환경공학회 논문집
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• 제23권4호
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• pp.11-20
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• 2022

불포화층의 수리특성을 획득하기 위하여 증발법, 압력판추출시험, 냉각거울법으로 함수특성시험을 수행하고 비교하였다. 증발법과 냉각거울법은 신시험법으로서 신속하고 정확하게 불포화토의 함수특성곡선을 획득할 수 있다. 증발법과 압력판추출시험에서는 100kPa 범위의 모관흡수력까지 함수특성을 획득하여 비교하였으며, 이로부터 증발법 시험결과를 검증할 수 있었다. 매우 높은 수준의 모관흡수력에서는 냉각거울법을 통하여 함수특성을 측정하고 이로부터 전체적인 함수특성곡선의 양상을 파악할 수 있었다. 모든 함수특성시험을 통하여 얻은 함수특성의 대표곡선을 구하고 각 시험법의 적용성을 비교하였다. 증발법 및 냉각거울법 시험을 병행하면 전체 모관흡수력 범위에서 함수특성곡선을 합리적으로 획득할 수 있었다.

• Geomechanics and Engineering
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• 제29권5호
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• pp.509-522
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• 2022

Tail-grouting is an effective measure in shield engineering for filling the gap at the shield tail to reduce ground deformation. However, the gap-filling ratio affects the value of the gap parameters, leading to different surface settlements. It is impossible to adjust the fill ratio indiscriminately to study its effect, because the allowable adjustment range of the grouting quantity is limited to ensure construction site safety. In this study, taking the shield tunnel section between Chaoyanggang Station and Shilihe Station of Beijing Metro Line 17 as an example, the correlation between the tail-grouting parameter and the surface settlement is investigated and the optimal grouting quantity is evaluated. This site is suitable for conducting field tests to reduce the tail-grouting quantity of shield tunneling over a large range. In addition, the shield tunneling under different grouting parameters was simulated. Furthermore, we analyzed the evolution law of the surface settlement under different grouting parameters and obtained the difference in the settlement parameters for each construction stage. The results obtained indicate that the characteristics of the grout affect the development of the surface settlement. Therefore, reducing the setting time or increasing the initial strength of the grout could effectively suppress the development of surface subsidence. As the fill ratio decreases, the loose zone of the soil above the tunnel expands, and the soil deformation is easily transmitted to the surface. Meanwhile, owing to insufficient grout support, the lateral pressure on the tunnel segments is significantly reduced, and the segment moves considerably after being removed from the shield tail.

• 예술인문사회 융합 멀티미디어 논문지
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• 제7권12호
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• pp.947-954
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• 2017

초고층 빌딩, 복합상가, 대형 지하시설물 등과 같은 도시 대형 구조물에서 화재가 발생한 경우에는 거주자들에 대하여 신속한 긴급피난유도를 제공해야 인명피해를 최소화할 수 있다. 따라서 대형 화재가 발생한 경우에 긴급피난유도를 제공하는 것이 필수적이다. 이러한 긴급피난유도를 효과적으로 지원하기 위해서는 화재발생 위치, 거주자 위치, 탈출경로 등과 같은 주요 항목들을 파악하는 것도 중요하지만, 거주자들이 화재로부터 안전하게 대피할 수 있는 피난구역을 신속하게 파악하는 것이 무엇보다도 중요하다. 본 논문에서는 안전한 피난대피구역 파악을 위하여 CCTV 영상을 분석하여 화재 발생에 따른 연기로부터 피난구역의 가시도를 측정하는 방법을 제안한다. 이를 위하여 먼저 연기로 인한 특정 구역의 가시도 측정을 위하여, 연기가 발생하고 있는 영상으로부터 배경 영상을 추출한다. 그리고 추출된 배경 영상에 대하여 에지를 추출한 영상을 생성한 후에, 연기로 인한 에지 강도의 변화를 계산하여 가시도를 측정한다.