• Journal of the Semiconductor & Display Technology
• /
• v.20 no.3
• /
• pp.11-17
• /
• 2021

I performed a semi-analytical numerical analysis of the effects of core size and electric field intensity on the light emission wavelength of CdSe/ZnS quantum dots (QDs). The analysis used a quantum mechanical approach; I solved the Schrödinger equation describing the electron-hole pairs of QDs. The numerical solutions are described using a basis set composed of the eigenstates of the Schrödinger equation; they are thus equivalent to analytical solutions. This semi-analytical numerical method made it simple and reliable to evaluate the dependency of QD characteristics on the QD core size and electric field intensity. As the QD core diameter changed from 9.9 to 2.5 nm, the light emission wavelength of CdSe core-only QDs varied from 262.9 to 643.8 nm, and that of CdSe/ZnS core/shell QDs from 279.9 to 697.2 nm. On application of an electric field of 8 × 10⁵ V/cm, the emission wavelengths of green-emitting CdSe and CdSe/ZnS QDs increased by 7.7 and 3.8 nm, respectively. This semi-analytical numerical analysis will aid the choice of QD size and material, and promote the development of improved QD light-emitting devices.

• Korean Journal of Child Studies
• /
• v.36 no.6
• /
• pp.165-188
• /
• 2015

The purpose of this study was to examine the relationships among Korean early adolescents' perceived negative parenting practices, trajectories of mobile phone dependency(MPD), and self-regulated learning(SRL), while taking into account gender differences. Early adolescents are required to acquire self-regulation in Korean cultural contexts of a strong emphasis on academic achievement and recent technological advancements. The study made use of data from the Korean Children and Youth Panel Study(KCYPS), and three waves of data collected from 1,953 adolescents in $7^{th}$, $8^{th}$ and $9^{th}$ grade were analyzed. The results can be summarized as follows. Growth-curve longitudinal analysis indicates that their initial value of MPD through $7^{th}$ to $9^{th}$ grade had increased, but the initial value and rate of change were significantly different according to gender. Furthermore, the results of multiple group analysis revealed that some path weights appeared different according to gender. For male students, the rate of change in MPD did not have a significant effect on either SRL in $7^{th}$ or $9^{th}$ grade, whereas for female students, it predicted the existence of significant relationships with them. The implications of these findings were also discussed.

• Korean Journal of Child Studies
• /
• v.37 no.4
• /
• pp.17-29
• /
• 2016

Objective: The purpose of this study was to examine the bidirectional relation between mobile phone dependency (MPD) and self-regulated learning (SRL) of early Korean adolescents in $4^{th}$, $6^{th}$ and $8^{th}$ grade, while taking into account gender differences. Methods: The study made use of panel data from the Korean Children and Youth Panel Study (KCYPS), and three waves of data collected from 2,264 adolescents were analyzed by means of autoregressive cross-lagged modeling. Results: The results can be summarized as follows. Firstly, MPD and SRL were consistently stable for adolescents in $4^{th}$, $6^{th}$ to $8^{th}$ grades. Secondly, a bidirectional relations between MPD and SRL were confirmed. In other words, there was a significant influence of a high level of MPD on a subsequent low level of SRL, and the high level of SRL also had a significant effect on the lower level of MPD across time. According to multi-group analysis, no gender differences were found in the relations between two constructs during the studied period. Conclusion: Findings highlighted not only the necessary media usage education but also parenting intervention strategies may help early adolescents to be prevented from negative effects of media usage and to enhance self-regulated learning ability. Based on the results, more implications were also discussed.

• Language and Information
• /
• v.19 no.1
• /
• pp.119-146
• /
• 2015

Within the field of Korean linguistics, it has been observed that subjective adjectival predicate constructions are characteristic of imposing 'coreference constraint' on the higher and lower subjects, while evidential -te- constructions imposing 'non-coreference constraint' on them. I interpret these constraints as dependency constraints between higher and lower judge-sensitive semantic predicates, and investigate the interactions among subjective adjectival predicates, evidential -te-, and modal -keyss- in Korean. The paper ultimately argues for the necessity to add a new indexical element, the judge of evaluation(Lasersohn 2005, Stephenson 2007), to the traditional set of indices that were confined to the world and the time.

• Annual Conference on Human and Language Technology
• /
• 2008.10a
• /
• pp.1-4
• /
• 2008

We present and discuss a Korean language parser based on dependency grammar, subcategorization, and the analysis of viable postfix such as josa and omi. We employ an extended form of BNF(Backus Naur Form) to define the dependency grammar and the form of subcategorization. We present the conceptual form of Korean language parser in a C program style. We discuss the structure of Korean parser currently implemented and show the execution results.

• Science of Emotion and Sensibility
• /
• v.20 no.4
• /
• pp.113-126
• /
• 2017

The purpose of the study was to find grey matter (GM) and white matter (WM) volume reduction in the brain reward system among patients with alcohol dependency. This study investigated regional GM and WM in chronic alcoholic patients, focusing primarily on the reward system, including principal components of the mesocorticolimbic reward circuit as well as cortical areas with modulating and oversight functions. Sixteen abstinent long-term chronic alcoholic men and demographically matched 16 healthy control men participated in the study. Morphometric analysis was performed on magnetic resonance brain scans using voxel-based morphometry (VBM)-diffeomorphic Anatomical Registration through Exponentiated Liealgebra (DARTEL). We derived GM and WM volumes from total brain and cortical and subcortical reward-related structures. Morphometric analyses that revealed the total volume of GM and WM was reduced and cerebrospinal fluid (CSF) was increased in the alcohol group compared to control group. The pronounced volume reduction in the reward system was observed in the GM and WM of the nucleus accumbens (NAc), GM of the amygdala, GM and WM of the hippocampus, WM of the thalamus, GM and WM of the insula, GM of the dorsolateral prefrontal cortex (DLPFC), GM of the orbitofrontal cortex (OFC), GM of the cingulate cortex (CC), GM and WM of the parahippocampal gyrus in the alcohol group. We identified volume reductions in WM as well as GM of reward system in the patients with alcohol dependency. These structural deficits in the reward system elucidate underlying impairment in the emotional and cognitive processing in alcoholism.

• Journal of the Korean Society of Safety
• /
• v.12 no.4
• /
• pp.161-168
• /
• 1997

Most plants producing semiconductors use a lot of chemicals, hazardous materials, and explosive gases. Though those materials are hazardous too much, some works still have to be done manually by human workers. However, according to a historical survey, more than half industrial accidents of those plants resulted from human errors or malfunctions. Thus, this research aimed 1) to diagnose shifting hazardous materials of semiconductor plants, 2) to estimate failure probability of human workers through human reliability analysis, and 3) to find out the tasks on which educational emphasis should be put. Through personal interview and visiting working spots, shifting tasks were analyzed, and modelled into a 24-step work, and after that, THERP and ETA was applied. During the shifting work, estimated human failure probability under the assumption of independency, 2.3004E-05, underestimated that probability 8. l008E-05 which could be calculated under the assumption of dependency. And this analysis showed that gas leakage from an old cylinder occupies 78.27% in the case of independent failures whereas gas leakage from a new cylinder occupies 75.06% in the case of dependent failures. So it was concluded that dependency assumption may gloss real situations. In addition, confirming gauge of regulators and closing valves turned out to be the most important tasks than purge tasks.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.11
• /
• pp.203-209
• /
• 2018

The purpose of this study was social withdrawal, depression, and self - esteem affect adolescents' mobile phone dependency. For this study, I used data from the first grade of junior high school during the 7th (2016) Korean child and youth panel survey provided by Korea Youth Policy Institute. A total of 1,937 people were selected as the final target except those who do not have a mobile phone. The analysis method was SPSS 23.0 and AMOS 20.0. As a result of the study, First, the higher the depression of adolescents, the higher the dependence on mobile phones. Second, the social withdrawal and depression of adolescents have a significant impact on mobile phone dependence through self-esteem. In conclusion, I would like to provide policy data so that youths can develop and implement preventive programs that can prevent personality education and erroneous mobile phone dependency that can develop healthy and positive growth.

• Proceedings of the Korean Society for Bioinformatics Conference
• /
• 2001.10a
• /
• pp.165-196
• /
• 2001

DNA chip 또는 microarray는 다수의 유전자 또는 유전자 조각을 (보통 수천내지 수만 개)칩상에 고정시켜 놓고 DNA hybridization 반응을 이용하여 유전자들의 발현 양상을 분석할 수 있는 기술이다. 이러한 high-throughput기술은 예전에는 생각하지 못했던 여러가지 분자생물학의 문제에 대한 해답을 제시해 줄 수 있을 뿐 만 아니라, 분자수준에서의 질병 진단, 신약 개발, 환경 오염 문제의 해결 등 그 응용 가능성이 무한하다. 이 기술의 실용적인 적용을 위해서는 DNA chip을 제작하기 위한 하드웨어/웻웨어 기술 외에도 이러한 데이터로부터 최대한 유용하고 새로운 지식을 창출하기 위한 bioinformatics 기술이 핵심이라고 할 수 있다. 유전자 발현 패턴을 데이터마이닝하는 문제는 크게 clustering, classification, dependency analysis로 구분할 수 있으며 이러한 기술은 통계학과인공지능 기계학습에 기반을 두고 있다. 주로 사용된 기법으로는 principal component analysis, hierarchical clustering, k-means, self-organizing maps, decision trees, multilayer perceptron neural networks, association rules 등이다. 본 세미나에서는 이러한 기본적인 기계학습 기술 외에 최근에 연구되고 있는 새로운 학습 기술로서 probabilistic graphical model (PGM)을 소개하고 이를 DNA chip 데이터 분석에 응용하는 연구를 살펴본다. PGM은 인공신경망, 그래프 이론, 확률 이론이 결합되어 형성된 기계학습 모델로서 인간 두뇌의 기억과 학습 기작에 기반을 두고 있으며 다른 기계학습 모델과의 큰 차이점 중의 하나는 generative model이라는 것이다. 즉 일단 모델이 만들어지면 이것으로부터 새로운 데이터를 생성할 수 있는 능력이 있어서, 만들어진 모델을 검증하고 이로부터 새로운 사실을 추론해 낼 수 있어 biological data mining 문제에서와 같이 새로운 지식을 발견하는 exploratory analysis에 적합하다. 또한probabilistic graphical model은 기존의 신경망 모델과는 달리 deterministic한의사결정이 아니라 확률에 기반한 soft inference를 하고 학습된 모델로부터 관련된 요인들간의 인과관계(causal relationship) 또는 상호의존관계(dependency)를 분석하기에 적합한 장점이 있다. 군체적인 PGM 모델의 예로서, Bayesian network, nonnegative matrix factorization (NMF), generative topographic mapping (GTM)의 구조와 학습 및 추론알고리즘을소개하고 이를 DNA칩 데이터 분석 평가 대회인 CAMDA-2000과 CAMDA-2001에서 사용된cancer diagnosis 문제와 gene-drug dependency analysis 문제에 적용한 결과를 살펴본다.

• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.34 no.9
• /
• pp.817-824
• /
• 2010

An improved spray model of a pressure-swirl atomizer was developed and the grid dependency of the model was investigated. Since the Lagrangian-Eulerian approach was adopted for tracking droplets, very small grids could not be used. However, in order to detect swirl flow accurately, small grids were needed because of the consideration of swirl injection. In order to overcome these limitations, numerical studies were performed by using various grids with cell sizes ranging from 10.0 $\times$ 10 mm to 0.625 $\times$ 0.625 mm. From these calculated results, it was observed that the most efficient grid cell size was 1.25 $\times$ 1.25 mm.