자율주행차량의 첨단 운전자 보조 시스템(ADAS)의 발전은 자율주행차량의 상용화를 가속화하고 있지만, 그 안전성을 입증하기 위한 충분한 테스트와 검증이 필요하다. 실제 차량을 이용한 대규모 테스트는 비용과 시간뿐만 아니라 다양한 시나리오를 구현하고 평가하 는 데 어려움이 있어, 다수의 연구자들은 시뮬레이션을 활용하고 있다. 이러한 문제를 해결하기 위해, 본 연구에서는 차량 시뮬레이션 소프트웨어인 CarMaker와 교통 흐름 시뮬레이션인 VISSIM을 결합하여 공동으로 시뮬레이션을 진행한다. 또한 두 시뮬레이션의 장점 을 결합하여 자율주행차량의 데이터를 보다 포괄적으로 분석할 수 있는 프레임워크를 제안한다. 시뮬레이션 결과, 각각의 시뮬레이션 에서 얻은 Ego Vehicle의 속도 값은 미세한 차이를 보였으며, 이는 실시간 시뮬레이션의 통신 과정에서 발생하는 오류로 해석된다. 또 한, 특정 시나리오에서는 차량이 급정지 후 출발하는 형태를 보였으며, 이는 자율주행차량이 주변 차량의 주행을 인식하여 주행 패턴 에 변화를 주는 것으로 해석된다. 향후에는 도심 도로에서의 자율주행 평가를 통해 복잡한 교통 상황과 불확실한 요소들로 인해 어려 운 문제를 겪는 상황을 분석할 수 있을 것으로 기대된다.

청정 연료인 수소를 생산하기 위해 현재 가장 널리 사용되는 기술인 증기 개질이다. 이 방법으로 생산된 수소는 일산화탄소와 같은 불순물을 함유하고 있어, 이를 연료전지와 같은 응용분야에 사용하기 위해서는 적절한 정제 과정을 반드 시 거쳐야 한다. 최근 효과적인 정제 방법으로 분리막 기술이 각광받고 있다. 본 연구에서는 수소와 일산화탄소 혼합가스에서 수소 분리 및 회수를 위해 바이오가스 고질화용(biogas upgrading) 상용 폴리설폰(polysulfone) 고분자막의 활용 가능성에 대 해서 평가하였다. 먼저, 사용한 상용막의 물리화학적 특성에 대해서 평가하였고, H2/CO를 이용하여 stage-cut, 운전압력과 같 은 다양한 조건에서의 상용막 모듈의 성능 평가를 진행하였다. 마지막으로, 평가 결과를 바탕으로 공정설계를 위한 시뮬레이 션을 진행하였다. 본 연구에서의 상용 분리막 공정의 최대 H2 투과도와 H2/CO 분리계수는 각각 361 GPU와 20.6을 기록하였 다. 또한, CO 제거 효율은 최대 94%를 나타내었으며, 생산 수소 농도는 최대 99.1%를 달성하였다.

PURPOSES : As the number of fixed traffic enforcement equipments increase rapidly, it is necessary to improve efficient operation and management plans. The aim of this study is to evaluate the factors influencing fixed traffic enforcement equipment failure. METHODS : This study utilized binary logistic regression analysis using the database provided by the Korean Road Traffic Authority to evaluate the factors affecting the failure of fixed traffic enforcement equipment. RESULTS : As a result of the evaluation of this study, the main factors affecting failure were red-light camera, old equipment, Jeju, National expressways, and equipment with low speed limits. CONCLUSIONS : This study can be used as basic data on the improvement of operation management plas for maintenance of traffic enforcement equipment. Through this study, it will be possible to establish a step-by-step plan with high efficiency comapared to the input of required manpower.

To safely dispose of highly radioactive spent resin and concentrate waste generated through nuclear power plant operations, it is essential to meet the physicochemical properties requirements of the packages and ensure the accuracy and reliability of radiological characteristics determination. Both spent resin and concentrate are packaged in high-integrity containers (HICs) after drying and are homogeneous waste products generated in the primary system and liquid radioactive waste treatment system. Meeting the physicochemical properties requirements does not appear to be difficult. However, to achieve reliable radiological characterization of high-integrity container packages, it is necessary to take a representative sample and perform accurate radiological analysis. Therefore, this paper discusses the methodology for evaluating the radionuclide inventory of high radioactive resin and concentrate packages, as well as the essential element technology and considerations. For relatively high radioactive resin and concentrate packages, the radionuclide inventory for each package should be evaluated with high reliability through direct radiological analysis of the representative samples collected for each package. This can contribute to the efficient operation of radioactive waste disposal facilities. Radionuclide-specific concentrations directly analyzed for each package will be managed in a database. As analytical data accumulates and direct measurements of high-integrity container package such as the radwaste drum assay system (RAS) become feasible, statistical techniques such as correlation analysis between easy-tomeasure (ETM) nuclides and difficult-to-measure (DTM) nuclides can lead to the development of efficient and reasonable indirect evaluation methods, such as scaling factor and the mean activity concentration method. As for the element technology, a remote representative sampling technique should be developed to safely and effectively take representative samples of highly radioactive materials, including granulated or hardened concentrate waste. Considerations should also be given to determining the sample quantity representing each package, as well as establishing radiation calibration and measurement methods appropriate to the radiation levels of the representative samples.

In the evaluation of the stability of radioactive waste disposal, it is imperative to take into account the concept of the redox front. Initially, this front is typically observed near the surface. However, if the hydraulic gradient increases due to the construction of a disposal facility, the redox front can potentially transport deeper into the geological environment through groundwater flow. This transport triggers changes in the geochemical characteristics, potentially diminishing the natural buffering capacity of the bedrock. Consequently, it is necessary to characterize both the unsaturated and saturated zones in the disposal site. In this context, a tracer test is a useful method to identify the characteristics of the site from the surface to the deep geological environment where the disposal facility can be located. Therefore, this study also aims to establish a methodology enabling a comprehensive understanding of the hydrogeochemical characteristics through the tracer test that can be applied to future sites for research URL (Underground Research Laboratory) or radioactive waste disposal in Korea. For the tracer test, a UNIT (UNsaturated zone Insitu Test facility) was built within the KAERI and five wells with a depth of 24 m were installed in 2022. Before conducting the test, to determine the geochemical background characteristics of the site, topsoil and soils at depths of 30 cm, 60 cm, and 90 cm were collected. Additionally, a groundwater sample was obtained from the newly installed well. Soil samples were analyzed for soil texture, moisture content, total and exchange cations, anions, and heavy metals. Similarly, the groundwater sample was analyzed for cations, anions, and trace elements. The outcomes of these comprehensive analyses will serve as the baseline values in the hydrogeochemical changes after the tracer test. This includes changes in soil composition, water quality, precipitation/dissolution processes, and mineral phases. Furthermore, these results will be provided as input parameters for surface-underground interface models in future studies.

간 동적 조영검사에 사용하고 있는 VIBE 시퀀스의 고식적인 방법과 딥러닝 방법에 관한 선행된 연구가 부족하여 영상의 평가와 검사의 방향성 및 타당성을 제시하고자 한다. ACR 팬텀 실험은 30회 반복 실험하였고, 저 대조도 분해능 평가영역 에서 syngo.via View&Go를 이용하여 신호대잡음비와 대조대잡음비를 평가하였고, 공간분해능 평가영역에서 MATLAB 을 통해 신호강도의 높이와 반치폭으로 공간 분해능을 평가했다. 팬텀 실험을 기준으로 Matrix 352를 설정하여 30명의 환자 실험을 했다. 간 실질, 간 문맥, 내림 대동맥에서 대조대잡음비를 평가했고, 공간 분해능은 간 문맥, 내림 대동맥의 경계면을 평가했다. 결과 분석은 이원배치 분산 분석으로 진행하고, 사후 분석은 Duncan을 사용했다. 통계분석은 정량적 으로 p-value 0.05 미만으로 유의한 것으로 판단했다. 팬텀 실험의 신호대잡음비와 대조대잡음비 결과는 Matrix 416 이하에서 유의하였으며, 공간분해능 결과는 고식적인 방법 Matrix 352 이하, 딥러닝 방법 288 이하에서 평가할 수 없었 다. 환자 실험 결과는 신호대잡음비, 대조대잡음비, 공간분해능 모두 유의했다. 본 연구는 고식적인 방법보다 딥러닝 방법 이 영상은 더 향상되었고, 획득 시간은 평균 4초(22.4%)가 단축되었다. 딥러닝 방법에서 Matrix 352를 적용하였을 때 검사 시간의 감소로 재현성과 호흡에 의한 인공물 감소가 있었다. 이에 딥러닝 방법에서 Matrix size 적용의 방향성을 제시할 수 있었다.

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people’s life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing ‘heavy snow’ in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

PURPOSES : In this study, we aimed to evaluate the transition temperature (Tt) of asphalt binders using molecular dynamics simulations, which can provide a more accurate assessment of the mechanical properties of a material at the molecular level and can be applied to material development and design. METHODS : Unlike conventional macro- or meso-level simulations, we utilized MD simulations to evaluate the Tg of asphalt binders based on material composition and aging degree as input variables. In this analysis, 11 temperatures ranging from 434 K to 233 K at 20 K intervals were utilized, and the bulk volume and density were calculated through MD simulations. RESULTS : The MD simulation successfully predicted the Tg of the asphalt binder, and the molecular-level properties and interactions determined in this study can be applied not only to material development but also to the determination of constitutive equations or contact models used in continuum mechanics or discrete element methods. The calculated Tg was slightly different depending on the aging of the asphalt binder; however, it was found to accurately reflect the transitional characteristics. CONCLUSIONS : This study demonstrated the potential of MD simulations as valuable tools for material development and design in the construction industry. The results indicate that the use of MD simulations can lead to more accurate and efficient material development and design by providing a more detailed understanding of material properties and interactions at the molecular level.

The Korea Atomic Energy Research Institute (KAERI) employs a methodology for evaluating the concentration of radionuclides, dividing them into volatile and non-volatile nuclides based on their characteristics, to ensure the permanent disposal of internally generated radioactive waste. Gamma spectroscopy enables the detection and radiation concentration determination of individual nuclides in samples containing multiple gamma-emitting nuclides. Due to the stochastic nature of radioactive decay, the generated radiation signal can interact with the detector faster than the detected signal processing time, causing dead time in the gamma spectroscopy process. Radioactive waste samples typically exhibit higher radiation levels than environmental samples, leading to long dead times during the measurement process, consequently reducing the accuracy of the analysis. Therefore, dead time must be considered when analyzing radioactive waste samples. During the measurement process, dead time may vary between a few seconds to several tens of thousands of seconds. More long dead time may also result in a temporal loss in the analysis stage, requiring more time than the actual measurement time. Long dead time samples undergo re-measurement after dilution to facilitate the analysis. As the prepared solution is also utilized in the nuclide separation processes, minimizing sample loss during dilution is crucial. Hence, predicting the possibility of dead time exceeding the target sample in advance and determining the corresponding dilution factor can prevent delays in the analysis process and the loss of samples due to dilution. In this study, to improve the issues related to gamma analysis, by using data generated during the analysis process, investigated methods to predict long dead time samples in advance and determining criteria for dilution factors. As a result of comparing the dead time data of 5% or long with the dose of the solution sample, it was concluded that analysis should be performed after dilution when it is about 0.4 μSv/h or high. However, some samples required dilution even at doses below 0.4 μSv/h. Also, re-measurement after dilution, the sample with a dead time of less than 32% was measured with less than 5% when diluted 10 times, and more than 32% required more than 10 times dilution. We suppose that with additional data collection for analyzing these samples in the future, if we can establish clearer criteria, we can predict long dead time samples in advance and solve the problem of analysis delay and sample loss.

It is essential that continual assessments of the impact of mine-derived water as a long-lasting burden on freshwater environments. Abundance-based evaluations of benthic macroinvertebrates have been conducted to evaluate anthropogenic disturbances and devise policies to reduce their impact. In this study, the status of a stream habitat was evaluated based on the body length and biomass weight of benthic macroinvertebrates of the family Baetidae. Following the renewal of the mining water treatment plant, the abundance of Baetidae assemblages recovered to a level comparable to that of a reference site. However, relatively low values were found for both body length and biomass weight in Baetidae species inhabiting the reddened streambed area, suggesting that the habitat has not yet been completely recovered despite the recovery of the abundance of the Baetidae assemblages. Therefore, continuous investigation and evaluation of this disturbed stream are necessary until their growth conditions of the habitat have functionally recovered

Considering the domestic condition with small land area and high population density, it is necessary to develop technology that can reduce the disposal area than the deep geological disposal method. For this, KAERI is developing a nuclide management process that can reduce the environmental burden of spent fuel, and establishing an evaluation model that can evaluate the performance of various process options. It is expected that an optimal option of the nuclide management process can be derived from disposal perspective by applying the evaluation model. The mass flow between processing steps of the radionuclide management process is the basic quantity required to quantify the evaluation criteria. Therefore, we built a generalized block model on GoldSim, which can simulate mass flow of various radionuclide management process options. In addition to the mass flow, this model was established to derive the amount of wastes generated by each processing step, the composition of nuclides, and radiological properties (decay heat, radioactivity, etc.). The mass flow and waste property derived from the models are closely related to the factors that determine the area of disposal concepts. Based on this, a disposal area calculation model was established as a model to evaluate the effectiveness of the radionuclide management process on environmental burden reduction. For verification, three process options, which can manage radionuclides having high decay heat (Cs, Sr) or large volume (U), were selected and evaluated as reference processes. And two disposal options, deep geological disposal and deep borehole disposal concepts were considered to be linked with the processes. As a result, it was confirmed that the disposal area could be reduced in the process separating radionuclides having high decay heat. In the future, other evaluation models for economic viability and safety will be added in the GoldSim model.