• 한국진공학회:학술대회논문집
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• 한국진공학회 2011년도 제41회 하계 정기 학술대회 초록집
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• pp.317-317
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• 2011

Enhanced ICRF (Ion Cyclotron Range of Frequency) ion heating of H-mode D(H) plasma will be tried in 2011 KSTAR experimental campaign. Minority heating is a main ion heating scheme in the ICRF. Its efficiency increases as the hydrogen minority ratio increases in deuterium plasmas. And it should be sustained at a lower level than the critical minority ratio. Consequently, it is important to elevate the critical ratio to maximize ion heating and it is possible by increasing the ion temperature or parallel wave number (k${\parallel}$) of the antenna. Increasing the k${\parallel}$ is not a good approach since the coupling efficiency decreases exponentially with regard to k${\parallel}$ as well. So the remaining method is to increase ion temperature by using NB (Neutral Beam). Ion heating fraction of NB increases as the electron temperature increases. Therefore, we will try to heat electron by using ECH together with NB ion heating before ICRF power injection. The ICRF heating efficiency will be compared with respect to several NB+ECH+ICRF heating combinations through several diagnostics such as XICS (Xray Imaging Crystal Spectroscopy), CES (Charge Exchange Spectroscopy) and neutron measurement. The theoretical background and the experimental results will be presented in more detail in the conference.

• Journal of Information Processing Systems
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• 제10권2호
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• pp.314-333
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• 2014

When analyzing default predictions in real estate companies, the number of non-defaulted cases always greatly exceeds the defaulted ones, which creates the two-class imbalance problem. This lowers the ability of prediction models to distinguish the default sample. In order to avoid this sample selection bias and to improve the prediction model, this paper applies a minority sample generation approach to create new minority samples. The logistic regression, support vector machine (SVM) classification, and neural network (NN) classification use an imbalanced dataset. They were used as benchmarks with a single prediction model that used a balanced dataset corrected by the minority samples generation approach. Instead of using prediction-oriented tests and the overall accuracy, the true positive rate (TPR), the true negative rate (TNR), G-mean, and F-score are used to measure the performance of default prediction models for imbalanced dataset. In this paper, we describe an empirical experiment that used a sampling of 14 default and 315 non-default listed real estate companies in China and report that most results using single prediction models with a balanced dataset generated better results than an imbalanced dataset.

• International Journal of Internet, Broadcasting and Communication
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• 제11권4호
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• pp.37-42
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• 2019

In this paper, we explore the details of three classic data augmentation methods and two generative model based oversampling methods. The three classic data augmentation methods are random sampling (RANDOM), Synthetic Minority Over-sampling Technique (SMOTE), and Adaptive Synthetic Sampling (ADASYN). The two generative model based oversampling methods are Conditional Generative Adversarial Network (CGAN) and Wasserstein Generative Adversarial Network (WGAN). In imbalanced data, the whole instances are divided into majority class and minority class, where majority class occupies most of the instances in the training set and minority class only includes a few instances. Generative models have their own advantages when they are used to generate more plausible samples referring to the distribution of the minority class. We also adopt CGAN to compare the data augmentation performance with other methods. The experimental results show that WGAN-based oversampling technique is more stable than other approaches (RANDOM, SMOTE, ADASYN and CGAN) even with the very limited training datasets. However, when the imbalanced ratio is too small, generative model based approaches cannot achieve satisfying performance than the conventional data augmentation techniques. These results suggest us one of future research directions.

• Journal of Magnetics
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• 제7권4호
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• pp.132-137
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• 2002

The electronic structures and magnetism of the non-oxide perovskite MgCFe$_3$(001) surface were investigated by using the all-electron full-potential linearized augmented plane wave (FLAPW) method within the generalized gradient approximation (GGA). We considered both of the MgFe terminated (MgFe-Term) and the CFe terminated (CFe-Term) surfaces. We found that the minority spin d-bands of Fe(S) of the MgFe-Term are strongly localized and Fermi level (EF) lies just below the sharp peak of the minority spin d-band of Fe(S), while the minority spin d-bands of Fe(S) of the CFe-Term are not localized much and Fermi level (E$_F$) lies in the middle of two peaks of the minority spins. The majority Fe(S) d-band width of MgFe- Term is narrower than that of the CFe-Term. It is found that the magnetic moment of Fe(S) of the MgFe- Term is 2.51 ${\mu}$$_B$, which is much larger than that of 1.97 ${\mu}$$_B$ of the CFe-Term.

• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.115-126
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• 2022

The study's goal is to determine the amount of climate change's impact on ethnic minority (EM) households' livelihoods, as well as their adaptability to climate change and long-term viability. The research was conducted in Vietnam's Northwestern Sub-region, where ethnic minorities account for more than half of the overall population. The study uses a combination of qualitative and quantitative methods based on a survey of 480 households in 04 provinces severely affected by climate change in the Northwest sub-region of Vietnam. The results show that: climate change (extreme weather events) occurs with increasing frequency, mainly affecting the life expectancy, health, and capital of households; Vulnerable groups (women, ethnic minorities) have a poor adaptive capacity and mainly suffer the consequences of shocks, are afraid to change their livelihoods; Microfinance plays an important role in enhancing the sustainability of livelihoods through increasing capital and financial assets and reducing the vulnerability of ethnic minority households. Finally, research has some solutions for microfinance - special credit specifically for ethnic minority households in the Northwest Sub-region: support for microfinance advice, home credit with transition orientations to adapt to climate change response and relieves its impact on the social lives.

• Journal of Radiation Protection and Research
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• 제48권3호
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• pp.124-130
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• 2023

Background: When bipolar junction transistors (BJTs) are used as switches, their switching characteristics can be deteriorated because the recombination time of the minority carriers is long during turn-off transient. When BJTs operate as low frequency switches, the power dissipation in the on-state is large. However, when BJTs operate as high frequency switches, the power dissipation during switching transients increases rapidly. Materials and Methods: When silicon (Si) BJTs are irradiated by fast neutrons, defects occur in the Si bulk, shortening the lifetime of the minority carriers. Fast neutron irradiation mainly creates displacement damage in the Si bulk rather than a total ionization dose effect. Defects caused by fast neutron irradiation shorten the lifetime of minority carriers of BJTs. Furthermore, these defects change the switching characteristics of BJTs. Results and Discussion: In this study, experimental results on the switching characteristics of a pnp Si BJT before and after fast neutron irradiation are presented. The results show that the switching characteristics are improved by fast neutron irradiation, but power dissipation in the on-state is large when the fast neutrons are irradiated excessively. Conclusion: The switching characteristics of a pnp Si BJT were improved by fast neutron irradiation.

• International journal of advanced smart convergence
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• 제13권1호
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• pp.114-121
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• 2024

Deleuze and Guattari introduced the concept of minority groups resisting the majorit. Minority groups consist of individuals who are excluded and marginalized by the majority. They advocate for a society in which these individuals, through mutual solidarity, can escape prejudice and fixed ideologies and lead a dignified human life. In this context, through his novels featuring protagonists with disabilities, Stéphane aimed to create an ideal societal atmosphere. The characters with disabilities in the novels incessantly strive toward life goals, emphasizing the importance of the process of effort and progress, even if the ultimate goals are not achieved. The dedicated pursuit of goals and the journey toward them hold significance beyond the attainment of objectives. Such an attitude and approach toward life by minority individuals is deemed sufficient to challenge the power structures established by the majority. This narrative challenges the societal norm and power structures, which highlights the value and meaning found in the process of striving and progressing, and ultimately contributes to breaking down societal barriers and fostering a more inclusive and equitable society.

• Smart Structures and Systems
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• 제34권1호
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• pp.9-15
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• 2024

Oversampling algorithms are methods employed in the field of machine learning to address the constraints associated with data quantity. This study aimed to explore the variations in reliability as data volume is progressively increased through the use of oversampling algorithms. For this purpose, the synthetic minority oversampling technique (SMOTE) and the borderline synthetic minority oversampling technique (BSMOTE) are chosen. The data inputs, which included air temperature, humidity, and wind speed, are parameters used in the Fosberg Fire-Weather Index (FFWI). Starting with a base of 52 entries, new data sets are generated by incrementally increasing the data volume by 10% up to a total increase of 100%. This augmented data is then utilized to predict FFWI using a deep neural network. The coefficient of determination (R²) is calculated for predictions made with both the original and the augmented datasets. Suggesting that increasing data volume by more than 50% of the original dataset quantity yields more reliable outcomes. This study introduces a methodology to alleviate the challenge of establishing a standard for data augmentation when employing oversampling algorithms, as well as a means to assess reliability.

• 마이크로전자및패키징학회지
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• 제22권4호
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• pp.111-115
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• 2015

실리콘 태양전지의 효율을 향상하기 위해서는 소수 캐리어의 높은 수명이 필수조건이다. 따라서, 이를 달성하기 위한 실리콘 표면결함을 없애줄 수 있는 부동화(passivation) 기술이 매우 중요하다. 일반적으로 PECVD 법이나 열산화 공정을 통해 얻어진 $SiO_2$ 박막이 부동화 층으로 많이 사용되나 1000도에 이르는 고온 공정과 낮은 열적 안정성이 문제로 여겨진다. 본 연구에서는 원자층 증착법을 이용하여 400도 미만의 저온 공정을 통해 $Al_2O_3$ 부동화 박막을 형성하였다. $Al_2O_3$ 박막은 고유의 음의 고정 전하밀도로 인해 낮은 표면 재결합속도를 보이는 것으로 알려져 있다. 본 연구에서는 질소 도핑을 통해 높은 음의 고정 전하 밀도를 얻고 이를 통해 좀 더 향상된 실리콘 표면 부동화 특성을 얻고자 하였다.

• 복식
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• 제67권3호
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• pp.66-80
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• 2017

The headdress is one of the most important clothing characters in China, as it was used to distinguish the 55 minority groups in China. Each minority group has a unique headdress culture. Among the 55 minority groups, the Zang, the Yi, and the Miao focus their ethnic costumes on the headdress, and have a more distinctive headdress culture compared to be other nationality groups. The Yi is one of the minority groups that linvd in Southwest China. They usually lived in compact communities in Sichuan, Yunnan, and Guizhou provinces, as well as the Guangxi Zhuang Autonomous region. The total population of the Yi is the sixth largest among the 55 minority groups. Modern scholars believe that the Yi people are descendants of the ancient Qiang people, which is a group that lived in Northwest China six or seven thousand years before. It is believed that the Qiang went down to the southern part of China and allied with the aboriginals in that region, and this group of people became the Yi, Due to its long history, cultural background, and the large number of people and settlements, they have produced a unique costume culture. The women's headdress culture is considered to be the one of the most important characteristics of their costume culture. There are four forming element of the Yi women's headdress, religious faith, myths, geographical distribution and customs & festivals. The first three elements play an important role in the protection and spread of headdress, while the fourth element provides potential for the modern headdress development. Because of much influence factors, more than 100 types of Yi women headdresses have developed. Depends on categories, Yi woman headdress can be divided into kerchief, hat, fascinator and other accessories wore on the hand. This study investigated the development of the Yi women's headwear, and screened and analyzed representative Yi women accessories, such as the headscarf, hat, and fascinator. This analysis will provide basic materials for further studies of Yi women's headdress or costume.