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Scattering cross section for various potential systems
Myagmarjav Odsuren,Kiyoshi Kat o,Gonchigdorj Khuukhenkhuu,Suren Davaa 한국원자력학회 2017 Nuclear Engineering and Technology Vol.49 No.5
We discuss the problems of scattering in this framework, and show that the applied method is very useful in the investigation of the effect of the resonance in the observed scattering cross sections. In this study, not only the scattering cross sections but also the decomposition of the scattering cross sections was computed for the α-α system. To obtain the decomposition of scattering cross sections into resonance and residual continuum terms, the complex scaled orthogonality condition model and the extended completeness relation are used. Applying the present method to the α-α and α-n systems, we obtained good reproduction of the observed phase shifts and cross sections. The decomposition into resonance and continuum terms makes clear that resonance contributions are dominant but continuum terms and their interference are not negligible. To understand the behavior of observed phase shifts and the shape of the cross sections, both resonance and continuum terms are calculated.
대용량 데이터에 대한 효율적인 L-diversity 비식별화 구현
전민혁 ( Min-hyuk Jeon ),( Odsuren Temuujin ),안진현 ( Jinhyun Ahn ),임동혁 ( Dong-hyuk Im ) 한국정보처리학회 2019 한국정보처리학회 학술대회논문집 Vol.26 No.2
최근 많은 단체나 기업에서 다양하고 방대한 데이터를 요구로 하고, 그에 따라서 국가 공공데이터나 데이터 브로커등 데이터를 통해 직접 수집 하거나 구매해야 하는 경우가 많아지고 있다. 하지만 개인정보의 경우 개인의 동의 없이는 타인에게 양도가 불가능하여 이러한 데이터에 대한 연구에 어려움이 있다. 그래서 특정 개인을 추론할 수 없도록 하는 비식별 처리 기술이 연구되고 있다. 이러한 비식별화의 정도는 모델로 나타낼 수가 있는데, 현재 k-anonymity 와 l-diversity 모델 등이 많이 사용된다. 이 중에서 l-diversity 는 k-anonymity 의 만족 조건을 포함하고 있어 비식별화의 정도가 더욱 강하다. 이러한 l-diversity 모델을 만족하는 알고리즘은 The Hardness and Approximation, Anatomy 등이 있는데 본 논문에서는 일반화 과정을 거치지 않아 유용성이 높은 Anatomy 의 구현에 대해 연 구하였다. 또한 비식별화 과정은 전체 데이터에 대한 특성을 고려해야 하기 때문에 데이터의 크기 가 커짐에 따라 실질적인 처리량이 방대해지는데, 이러한 문제를 Spark 를 통해 데이터가 커짐에 따라서 최대한 안정적으로 대응하여 처리할 수 있는 시스템을 구현하였다.
Huong-Thi Bui,Uuriintuya Odsuren,정문선,서정욱,김상용,박봉주 인간식물환경학회 2022 인간식물환경학회지 Vol.25 No.1
Background and objective: Particulate matter (PM) is the most dangerous form of air pollution, and causes many diseases. Plants act as bio-filters to help reduce PM in the atmosphere. PM also influences the growth of plants, so selecting suitableplant species for specific environmental conditions is very important. The air pollution tolerance index (APTI) was used todetermine the tolerance level of each plant species to air pollution. The purpose of this study was to determine thetolerance to air pollution of various plant species in order to identify plant species that can be grown in pollutedenvironments; this was achieved by evaluating the APTI of plants. This study analyzed the biochemical parameters of 12plant species at two sites with different air pollution levels (urban forest and roadside) to assess and compare the APTI ofplant species. Methods: The healthy leaves of 12 plant species (6 broad leaves and 6 needle leaves) that are commonly used in landscapesin Korea were chosen for this study. The same plant species were collected from two sites with different pollution levelsand were analyzed immediately; one site was an urban forest (Chungcheongbuk-do Forest Environment Research Institute)with an area of 25 ha and featuring high vegetation coverage, while the other was at a high-traffic roadside next to acrossroads near the Cheongju Express Bus Terminal. We used the leaf samples to analyze four biochemical parameters ofeach plant: leaf extract pH (pH), relative leaf water content (RWC), total chlorophyll (TChl), and ascorbic acid. Finally, basedon these values, APTI values were calculated. Results: The APTI values were different between all 12 plant species at both sites with different levels of pollution. APTIhad a significant correlation with the biochemical parameters of plants. Plants in the urban forest and at the roadsideshowed APTI values ranging from 6.89-9.37 and 7.57-9.94, respectively. The APTI of the roadside plant species tendedto be higher than that of the plants from the urban forest. Among 12 plant species, Acer palmatum, Acer buergerianum,and Pinus densiflora had high APTI values. These plant species can serve as biofilters in environments with high airpollution. Conclusion: The APTI of the 12 plant species in this study can aid in the selection of suitable plant species fromenvironments with different levels of air pollution. The high APTI of some roadside plant species may show their toleranceunder environmental pollution-related stress, or demonstrate their adaptability to the polluted environment. In the future,we need to examine more plant species under various environmental conditions to understand their tolerance levels to airpollution and to correlate plants with air pollution. Further, more studies on other air pollutants that can influence plantgrowth, such as SO2 and NOx, should be conducted.