• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.317-322
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• 2011

Korean adults' internet addiction diagnosis measure, K-scale developed by Korea National Information Society Agency (NIA), has composed of 4 categories including 20 items. This scale can diagnose user's internet addiction with individual's questionnaire items. Most of previous research works were tried to know reasons of internet addiction and to judge whether adolescents are addicted or not with their samples. In this research, it is the goal to find the key component to judge individual's internet addiction by using a decision tree in the data mining field and a principal component analysis in statistics. From the experimental results, we would discover that tolerance and preoccupation factor is the most important one to affect adult's internet addiction.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.335-335
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• 2020

기저유출 분리 기법은 하천에서 관찰되는 총 유출을 직접유출과 기저유출로 분리하는 기술이다. 기저유출 분리 기법은 도식적(graphical) 방법, 디지털 필터(digital filter) 방법, 통계학적 방법, 해석적 방법 등 다양하다(Valent와 Bulík, 2016). 금회 연구에서는 이 가운데 도식적 방법을 이용한 기저유출 분리 방법에 대한 적용성을 평가하였다. 금회 연구에서 수행된 도식적 기저유출 분리 방법은 HYSEP 프로그램에 포함되어 있는 local minimum method(LMM), fixed interval method(FIM), sliding interval method(SIM)이고(Sloto and Crouse, 1996), 각각의 방법은 대리 수위관측소의 관측 일 유량(2013년~2017년)에 적용되었다. 분석에 사용된 세 가지 방법은 동일하게 유역면적의 함수인 기저유출 분리에 사용되는 간격(2N∗)만으로 기저유출을 분리하므로 객관적인 적용이 가능하다. 각각의 분석 방법에 의한 기저유출 분리의 적절성 평가를 위해 2017년의 유황곡선을 이용하여 검토하였다. 구체적으로 유황 곡선의 지표 유량인 풍수량, 평수량, 저수량을 기준으로 각각의 지표 유량 이하에 대한 관측 유량과 추정된 기저유량의 결정계수를 산정하였다(Table 1). 이는 유량의 규모가 작을수록 지표유출 보다는 기저유출의 영향이 커짐을 고려한 것이다. 분석 결과, SIM이 모든 지표 유량 기준에서 가장 좋은 결과를 보였다. 또한, 기저유출 지표(base flow index; BFI)에서도 SIM과 FIM은 약 0.46으로 유사한 반면, LMM은 0.23으로 분석되어 두 방법과 큰 차이를 보였다.

• Polymer(Korea)
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• v.37 no.4
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• pp.442-448
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• 2013

In this study, we developed and optimized hydrophilic polymer-based solid dispersion formulations (SDs) using a spray drying method for improving the aqueous solubility of eprosartan, one of poorly soluble drugs that has been broadly used for the treatment of high blood pressure. Hydroxylpropylcellulose (HPC) and poly(vinyl pyrrolidone) (PVP) were used as hydrophilic polymer matrices and poloxamer 407 (P407) added as a polymeric surfactant. Various kinds of solid dispersions with different drug/polymer compositions were prepared and their physico-chemical properties were compared. As the polymer content increased, the drug crystallinity in the SDs significantly decreased and the dissolution properties were enhanced. The PVP based SDs were observed to have relatively reduced crystallinity and an enhanced dissolution rate than HPC-based SDs, due to better miscibility between drug and polymer matrix. For PVP based SDs, the drug crystallinity almost disappeared and the dissolution properties significantly increased by more than 3~7 times.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.2
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• pp.167-171
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• 2014

Using chemical vapor deposition(CVD), the synthesis of graphene was performed on poly and single crystalline Cu substrates. The growth behavior of graphene and its characterization were shown utilizing the optical microscopic image and its image analysis. As a result in the analysis of graphene growth, it was found out the graphene is growing always in particular direction in relation to the crystalline direction of a single grain in polycrystalline Cu substrate. With the image analysis it was possible to show the characterization of graphene, such as the growth direction and the number of layers showing single, double and triple layers, within the neighboring single grains in polycrystalline Cu. In addition, the relatively large area of graphene with about $3mm^2$ on Cu(111) having high quality, single layer, and single crystalline was shown along with its characterization.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.6
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• pp.677-682
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• 2014

In the present study, a decision tree and artificial neural network were used to determine critical design parameters for lithium ion batteries and compare their performances. First, a design method that used a decision tree-artificial neural network model was used to determine the major design factors among early pole plate design factors that showed nonlinearity. Then, the artificial neural network was used to implement a weighted value analysis of the importance of the design factors and their effect on the current density. The second method involved the use of an artificial neural network model to construct artificial networks without separate determinations of the major early design factors to analyze the connections and weighted values related to the current density.

• Proceedings of the Materials Research Society of Korea Conference
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• 2011.05a
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• pp.47.1-47.1
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• 2011

최근 친환경의 재생 가능한 에너지에 대한 관심이 급증하면서 태양전지에 대한 연구가 국내외에서 활발히 진행중이다. 특히 기존 태양전지 시장을 장악하던 실리콘 태양전지를 대체하고 새로운 기능을 부여하기 위해 박막형 태양전지의 필요성과 새로운 태양전지용 소재 개발에 관심이 집중되고 있다. CIGS는 이러한 요구에 부합하는 소재로써 진공증착법을 통한 CIGS 박막 태양전지에 대한 많은 연구가 진행되고 있다. 이와 함께, 경제성과 대면적화의 용이성을 목표로 CIGS의 비진공증착법에 대한 연구도 병행되고 있다. 본 연구에서는 비진공증착법중 전기화학적 전착방법을 이용하여 CIGS박막을 형성하는 기초연구를 진행하였다. CIGS 박막의 표면 및 결정립 제어를 위하여 젤라틴을 첨가제로 이용하여 CIGS 박막을 제조하였으며 첨가제의 농도, 전착 인가전압 등을 변수로 박막을 형성시켜 특성을 분석하였다. 첨가제가 박막의 특성에 미치는 영향을 알아보기 위하여 첨가제의 양에 따른 박막의 결정성과 표면 구조를 각각 XRD 및 FE-SEM (EDS)을 이용하여 분석하였다. 첨가제의 농도와 전착 인가전압에 따라 상대적으로 매우 우수한 표면 특성을 가지는 박막을 얻을 수 있었고 특히 특정농도의 젤라틴은 기존의 CIGS 박막의 결정성을 유지시켜 주는 것을 확인하였다. 또한 일정한 첨가제 농도 조건에서 인가전압을 변화시키며 증착한 필름의 CIGS 원소비를 분석함으로서 첨가제를 이용한 전기화학적 전착법에서 인가전압이 박막의 조성비에 미치는 영향을 분석하였다. 첨가제를 이용한 낮은 전압에서의 전착을 통해 우수한 표면 특성을 유지하면서 동시에 희귀원소인 In과 Ga의 증착을 더욱 용이하게 하는 새로운 방법에 대해 고찰하였다.

• Applied Chemistry for Engineering
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• v.18 no.1
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• pp.84-89
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• 2007

Direct decomposition of hydrocarbon (methane, propane) was studied using a thermal plasma to produce high purity hydrogen and carbon black. Thermodynamic equilibrium compositions were calculated based on the minimization of Gibb's free energy, and decomposition experiments were performed on the basis of calculation results. The purity of hydrogen was found to be depended strongly on the flow rate of hydrocarbon. The decomposition conditions for high purity hydrogen were investigated. The purity of hydrogen produced from methane decomposition was higher than that from propane. In the case of propane, it was investigated that by products such as methane, acetylene, and ethane etc., by radical recombination under thermal plasma were produced more than that of methane. Produced carbon blacks were characterized by material analyses, such as XRD, Raman spectroscopy, SEM, and particle size analysis. In both methane and propane decompositions, well-crystallized carbon blacks were produced and showed uniform and sphere-like morphologies. The size of carbon black synthesized from methane was observed to be smaller than that from propane.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.47-57
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• 2013

Big data analysis needs a new tool for decision making in view of data volume, speed, and variety. Many global IT enterprises are announcing a variety of Big data products with easy to use, best functionality, and modeling capability. Big data packages are defined as a solution represented by analytic tools, infrastructures, platforms including hardware and software. They can acquire, store, analyze, and visualize Big data. There are many types of products with various and complex functionalities. Because of inherent characteristics of Big data, selecting a best Big data package requires expertise and an appropriate decision making method, comparing the selection problem of other software packages. The objective of this paper is to suggest a decision making method for selecting a Big data package. We compare their characteristics and functionalities through literature reviews and suggest selection criteria. In order to evaluate the feasibility of adopting packages, we develop two Analytic Hierarchy Process(AHP) models where the goal node of a model consists of costs and benefits and the other consists of selection criteria. We show a numerical example how the best package is evaluated by combining the two models.

• International Area Studies Review
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• v.12 no.2
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• pp.79-97
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• 2008

After entering into the WTO in October, 2001, China started opening her bank industry on a full scale and her financial markets from the end of 2006. It is true that the Chinese commercial banks should make efforts to enhance their operational efficiency for adapting the rapid change of financial environments. In this paper, the efficiency of 4 Chinese state-owned commercial banks and 11 share holding commercial banks has been estimated. Our Tobit model to find out the determinants of these banks' efficiency. The results are as follows: The efficiency of these banks kept being improved from 1999 to 2003. With regard to the relationship between the determinants and the bank efficiency, their capital ratios, ownership structures and government subsidies are significant at the 5% level while the return on asset(ROA) is significant at the 10% level. The relationship between the determinants and the efficiency has showed that the size, capital ratios, ROA and ownership structure showed significantly before the entry to WTO, on the other hand, after WTO their capital ratios are the only factor to determine their efficiencies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.76-91
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• 2019

There have been many studies to examine the patterns in innovations reflecting industry-specific characteristics from an evolutionary economics perspective. The purpose of this study is to identify industry-specific differences in product innovation patterns and determinants of innovation performance. For this, Korean manufacturing is classified into high-tech industries and low-tech industries according to technology intensity. It is also pointed out that existing research does not reflect the decision-making process of firms' R&D implementations. In order to solve this problem, this study presents a Heckman sample selection model and a double-hurdle model as alternatives, and analyzes data from 1,637 firms in the 2014 Survey on Technology of SMEs. As a result, it was confirmed that the determinants and patterns of manufacturing in small and medium-size enterprise (SME) product innovation are significantly different between high-tech and low-tech industries. Also, through an extended empirical model, we found that there exist a sample selection bias and a hurdle-like threshold in the decision-making process. In this study, the industry-specific features and patterns of product innovation are examined from a multi-sided perspective, and it is meaningful that the decision-making process for manufacturing SMEs' R&D performance can be better understood.