The decommissioning of Kori Unit 1 is expected to generate a large amount of clearance waste. Disposing of a large amount of clearance waste is economically costly, so a recycling method has emerged. However, clearance waste recycling is expected to cause many conflicts among various stakeholders. In the previous study, possible conflicts were selected in consideration of the domestic environment and major issues. Based on this, this study classifies stakeholders involved in conflicts by group, and suggests ways to enhance understanding by stakeholder and enhance reliability. In this study, stakeholders are classified into four groups that share the same conflicts, and each of the following measures is suggested. 1) Stakeholder Engagement. 2) Common understanding of radiation risks, dialogue between the public/recycling industry/ regulatory agency. 3) Incentives to promote recycling clearance waste. 4) Reliable outlet store for recyclable clearance waste. The above understanding enhancement measures are presented so that a solution to conflict can be smoothly derived when designing a clearance waste-related consultative body composed of interested parties in the future. As a more specific solution, measures to enhance stakeholder trust can be suggested for each understanding enhancement measure. Reliability enhancement measures are also presented so that they can be applied to each stakeholder group, and these are as follows. 1) Write a stakeholder engagement plan, Measures for stakeholder participation in measuring the radioactivity concentration of clearance waste. 2) Active use of easy-to-understand radioactivity comparison data, Expansion of information on environmental radiation dose to public, nuclear/radiation education, Held a tour event at the nuclear power plant decommissioning site, New website for clearance waste information disclosure. 3) Incentives for recycling industries in which the Ministry of Environment or KHNP partially bears the losses that occur when the sales rate is low. Incentives are provided to consumers by including recyclables of clearance waste for Green Card’s green consumption points. 4) Online outlets open for recyclable clearance waste with easy-to-understand radioactivity comparison data. It is expected that if the above-mentioned reliability enhancement measures are used, it will be possible to secure the trust of stakeholders and reduce the gap between stakeholders in the future clearance-related consultative body.

We observed the symbiotic star AG Dra for a total of 61 nights between April 2004 and December 2021 using the 1.8-m telescope and the high-resolution Echelle spectrograph BOES at the Bohyunsan Optical Astronomy Observatory and obtained 355 frames of spectroscopic data to investigate the variations in its spectral lines. Overnight short-term and long-term changes in prominent emission lines are examined. No short-term changes are found in the line profiles. However, the peak intensity of the Hα emission line exhibits very small variation. In the long-term period, many emission lines including He I λ5875, λ6678, λ7065 and Fe II λ5018 are found to vary reflecting the symbiotic outburst activities. It is noted that He II λ4686 and Raman-scattered O VI λ6830, λ7088 are exceptions, where no significant variations are discernible. One of the noticeable lines is the λ5018 line. Its appearance and disappearance pattern are different from other emission lines, and the line is found to appear in outburst states. The Hα and Hβ lines remain very similar in our spectroscopic monitoring campaign.

In this study, using deep learning, super-resolution images of transmission electron microscope (TEM) images were generated for nanomaterial analysis. 1169 paired images with 256  256 pixels (high resolution: HR) from TEM measurements and 32  32 pixels (low resolution: LR) produced using the python module openCV were trained with deep learning models. The TEM images were related to DyVO4 nanomaterials synthesized by hydrothermal methods. Mean-absolute-error (MAE), peak-signal-to-noise-ratio (PSNR), and structural similarity (SSIM) were used as metrics to evaluate the performance of the models. First, a super-resolution image (SR) was obtained using the traditional interpolation method used in computer vision. In the SR image at low magnification, the shape of the nanomaterial improved. However, the SR images at medium and high magnification failed to show the characteristics of the lattice of the nanomaterials. Second, to obtain a SR image, the deep learning model includes a residual network which reduces the loss of spatial information in the convolutional process of obtaining a feature map. In the process of optimizing the deep learning model, it was confirmed that the performance of the model improved as the number of data increased. In addition, by optimizing the deep learning model using the loss function, including MAE and SSIM at the same time, improved results of the nanomaterial lattice in SR images were achieved at medium and high magnifications. The final proposed deep learning model used four residual blocks to obtain the characteristic map of the low-resolution image, and the super-resolution image was completed using Upsampling2D and the residual block three times.

Two tree frogs, Dryophytes suweonensis and Dryophytes japonicus, inhabiting Korea, are morphologically similar and share the same habitats. Therefore, they are identified mainly through their calls, especially for males. Dryophytes suweonensis is registered as an endangered (IUCN: EN grade) and protected species in South Korea. Thus, it is necessary to develop a method to rapidly identify and discriminate the two species and establish efficient protection and restoration plans. We identified significant genetic variation between them by sequencing a maternallyinherited mitochondrial 12S ribosomal DNA region. Based on the sequence data, we designed a pair of primers containing 7 bp differences for high resolution melting (HRM) analysis to rapidly and accurately characterize their genotypes. The HRM analysis using genomic DNA showed that the melting peak for D. suweonensis was 76.4±0.06°C, whereas that of D. japonicus was 75.0±0.05°C. The differential melt curve plot further showed a distinct difference between them. We also carried out a pilot test for the application of HRM analysis based on immersing D. suweonensis in distilled water for 30 min to generate artificial environmental DNA (eDNA). The results showed 1.10-1.31°C differences in the melting peaks between the two tree frog samples. Therefore, this HRM analysis is rapid and accurate in identifying two tree frogs not only using their genomic DNA but also using highly non-invasive eDNA.

We present a method to determine nitrogen abundance ratios with respect to iron ([N/Fe]) from molecular CN-band features observed in low-resolution (R ∼ 2000) stellar spectra obtained by the Sloan Digital Sky Survey (SDSS) and the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). Various tests are carried out to check the systematic and random errors of our technique, and the impact of signal-to-noise (S/N) ratios of stellar spectra on the determined [N/Fe]. We find that the uncertainty of our derived [N/Fe] is less than 0.3 dex for S/N ratios larger than 10 in the ranges Teff = [4000, 6000] K, log g = [0.0, 3.5], [Fe/H] = [−3.0, 0.0], [C/Fe] = [−1.0, +4.5], and [N/Fe] = [−1.0, +4.5], the parameter space that we are interested in to identify N-enhanced stars in the Galactic halo. A star-by-star comparison with a sample of stars with [N/Fe] estimates available from the Apache Point Observatory Galactic Evolution Experiment (APOGEE) also suggests a similar level of uncertainty in our measured [N/Fe], after removing its systematic error. Based on these results, we conclude that our method is able to reproduce [N/Fe] from low-resolution spectroscopic data, with an uncertainty sufficiently small to discover N-rich stars that presumably originated from disrupted Galactic globular clusters.

풍력발전단지는 초기 투자비용이 높고 설치 후 이동이 용이하지 못하기 때문에 풍력발전단지 설계 과정에서 해당 지역의 생 산 가능 자원량을 정확히 예측하는 것이 필수적이다. 많은 연구자들이 풍력에너지 발전량을 예측하기 위해 수치기상예보(Numerical Weather Prediction, NWP) 방법으로부터 얻은 장기간 기상데이터를 활용한다. 하지만 NWP 방법은 국지적 지형지물과 표면조도가 풍 황에 미치는 영향을 충분히 고려하지 못한다는 한계점이 존재하여 대부분의 육상풍력발전단지가 지형이 복잡한 산간지역에 설치되어 있는 한국에서 활용하기에 적합하지 않다. 이에 NWP 방법을 통해 얻어진 장기간 기상데이터를 전산유체역학(Computational Fluid Dynamics, CFD)의 경계조건으로 활용하여 지형지물과 표면조도의 영향을 고려하여 축소함으로써 공간해상도를 100m 급으로 고해상 도화 하였다.

In China, all dispute resolution mechanisms have introduced online dispute resolution (ODR) system into their operations. To address this situation, this article suggests the principle of due process should include the limitations of Internet-based dispute resolution attempts and the impact of technologies should be taken seriously. The first part of this paper introduces the development of ODR in China. The second part identifies the major areas in which the due process should be secured. The third part focuses on new technologies and its relationship with ODR and among others, electronic evidence and artificial intelligence are discussed. This article concludes that we first need to consider the rapid development of ODR, while the settled procedural principles regarding due process and neutrality should still be the primary task of civil justice and Alternative Dispute Resolution.

국내 농업 분야 비산먼지의 배출계수와 활동도 자료는 국내의 환경조건(풍속, 습도 등)과 농업 의 특성을 반영하지 않고 미국의 인벤토리 체계를 그대로 적용해 왔다. 이 연구에서는, 활동 자료 중 하나 인 시간 해상도는 풍속 및 건기일수 적용을 통해 월별 배분계수를 도출하여 지역별로 시간 해상도를 향상 시켰고, 공간 해상도는 시·군·구에서 동과 리로 세분화하여 지역별로 공간 해상도를 향상시켰다. 이 연구를 통해, 지금 존재하는 농업분야의 비산먼지의 배출량, 활동도 자료의 개선에 중요한 자료로 활 용될 수 있을 것으로 판단된다.

Today, the question on the legal instruments of international organisations that impose direct sanctions on individuals and legal entities have surfaced, such as the United Nations Security Council (UNSC) Resolutions. States are obliged to implement the UNSC Resolutions but would face difficulties in this course. The UNSC’s coercive approach rubs international security against democratic legitimacy, especially when the Resolutions violate due process of law, principle of legality and human rights. To date, Indonesia’s stance on international law (including UNSC Resolutions) under its legal system remains unclear. This study analyses the implementation of the UNSC Resolutions in Indonesia, which has no uniformity without a UN Act. The case of North Korean vessel, MV Wise Honest, highlights the growing confusion in Indonesia because violation of the UNSC Resolutions has not been governed. Conclusively, Indonesia needs to enact a UN Act to provide legal certainty in the implementation of the UNSC Resolutions.