• Korean Journal of Social Welfare Studies
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• v.48 no.3
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• pp.29-55
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• 2017

This study aims to examine how children's life satisfaction is interrelated with parents' life satisfaction longitudinally. Autoregressive cross-lagged model was employed to analyze the interrelationship between children's and parents' life satisfaction. This study used 6 waves (Elementary school 4th year to Middle school 3rd year) from the Korean Children and Youth Panel Study (KCYPS). The sample size was 1,963 families with child and parent. Key findings are as follows: First, children's and parents' life satisfaction, respectively, was found to influence each other during the study period. Second, parents' life satisfaction were found to have positive and significant cross-lagged impacts on children's life satisfaction. Third, similarly, children's life satisfaction was positively related to parents' life satisfaction longitudinally. The findings suggest that children's and parents' life satisfaction are interrelated in an autoregressive cross-lagged model. This study concludes with implications for enhancing children's and parents' life satisfaction.

• Journal of the Korean Geographical Society
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• v.47 no.3
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• pp.426-439
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• 2012

The goal of this study is to propose a new method to capture the qualitative person spatial behavior. Beyond tracking or indexing the change of the location of a person, the changes in the relationships between a person and its environment are considered as the main source for the formal model of this study. Specifically, this paper focuses on the movement behavior of a person near the boundary of a region. To capture the behavior of person near the boundary of regions, a new formal approach for integrating an object's scope of influence is described. Such an object, a spatio-temporally extended point (STEP), is considered here by addressing its scope of influence as potential events or interactions area in conjunction with its location. The formalism presented is based on a topological data model and introduces a 12-intersection model to represent the topological relations between a region and the STEP in 2-dimensional space. From the perspective of STEP concept, a prototype analysis results are provided by using GPS tracking data in real world.

• Journal of Digital Contents Society
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• v.16 no.6
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• pp.909-916
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• 2015

This paper presents a method to display the 3D vector fields by analyzing phase space. This method is based on the connections between ordinary differential equations and the topology of vector fields. The phase space analysis should be geometric interpolation of an autonomous system of equation in the form of the phase space. Every solution of it system of equations corresponds not to a curve in a space, but the motion of a point along the curve. This analysis is the basis of this paper. This new method is required to decompose the hexahedral cell into five or six tetrahedral cells for 3D vector fields. The critical points can be easily found by solving a simple linear system for each tetrahedron. The tangent curves can be integrated by finding the intersection points of an integral curve traced out by the general solution of each tetrahedron and plane containing a face of the tetrahedron.

• Korean Journal of Remote Sensing
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• v.33 no.5_1
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• pp.469-480
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• 2017

This study aims to understand the relationship between lineaments and epicenters in Geochang region, Gyungsangnam-do, South Korea. An instrumental observation of earthquakes has been started by Korea Meteorological Administration (KMA) since 1978 and there were 6 earthquakes with magnitude ranging 2 to 2.5 in Geochang region from 1978 to 2016. Lineaments were extracted from LANDSAT 8 satellite image and shaded relief map displayed in 3-dimension using Digital Elevation Model (DEM). Then, lineament density was statistically examined by hotspot analysis. Hexagonal grids were generated to perform the analysis because hexagonal pattern expresses lineaments with less discontinuity than square girds, and the size of the grid was selected to minimize a variance of lineament density. Since hotspot analysis measures the extent of clustering with Z score, Z scores computed with lineaments' frequency ($L_f$), length ($L_d$), and intersection ($L_t$) were used to find lineament clusters in the density map. Furthermore, the Z scores were extracted from the epicenters and examined to see the relevance of each density elements to epicenters. As a result, 15 among 18 densities,recorded as 3 elements in 6 epicenters, were higher than 1.65 which is 95% of the standard normal distribution. This indicates that epicenters coincide with high density area. Especially, $L_f$ and $L_t$ had a significant relationship with epicenter, being located in upper 95% of the standard normal distribution, except for one epicenter in $L_t$. This study can be used to identify potential seismic zones by improving the accuracy of expressing lineaments' spatial distribution and analyzing relationship between lineament density and epicenter. However, additional studies in wider study area with more epicenters are recommended to promote the results.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2011.11a
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• pp.44-44
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• 2011

본 연구에서는 직물조직의 분석과정을 자동화할 수 있는 전용 하드웨어 및 소프트웨어를 개발하였다. 직물조직의 분석은 직물 설계 및 품질관리 단계에서 매우 중요한 공정이나 현재까지도 확대경과 분해침에 의존하여 수작업으로 이루어지고 있는 것이 실정이라 자동화가 절실히 요구되는 분야라고 할 수 있다. 최근 컴퓨터 기술의 발달로 섬유산업 분야에서도 자동화 관련 연구가 많이 이루어지고 있으며 직물 분석 과정에 대한 연구도 여러 차례 시도된 바 있다. 여기에는 주로 디지털 영상으로부터 특징을 찾아내고 분석하는 이미지 프로세싱 기법이 쓰였는데 이는 재현성, 정확성, 속도 등에서 육안에 의한 방법과는 비교할 수 없는 장점을 가지고 있다. 그러나 기존의 연구들은 카메라의 한계로 인해 주로 저해상도의 이미지를 가지고 작업을 하거나, 이미지 프로세싱 또는 인공 신경망을 단독으로 적용하는 등의 한계를 가지고 있었다. 본 연구에서는 이러한 문제점을 극복하기 위해 초고해상도 직물 이미지를 획득한 뒤 이로부터 직물의 교차점을 인식하는데 필요한 파라미터를 추출하고 이를 인공 신경망에 학습시켜 직물 설계에 필요한 조직도를 생성하는 시스템을 개발하고자 하였다. 이를 위해 먼저 컴퓨터로 컨트롤이 가능한 직물 분석 전용 초정밀 XY 스테이지의 하드웨어를 설계 제작 하였으며 각종 이미지 분석 및 하드웨어 컨트롤에 필요한 전용 소프트웨어를 개발하였으며 그 결과 각종 직물의 조직을 매우 정확히 인식할 수 있게 되었다. 향후 이미지 획득 과정의 보완, 새로운 파라미터의 정의 및 신경망의 반복 학습을 통해 본 시스템이 보다 보완된다면 직물 분석 작업의 자동화를 통한 제품 개발과 생산에 소요되는 시간을 단축 및 품질 관리 공정의 자동화에 기여할 수 있을 것으로 기대된다.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.3
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• pp.95-107
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• 2017

This Study Categorized Service Quality of Banks into Interaction Quality, Physical Environment Quality, and Outcome Quality, and Proposed a Structural Model for Each Dimension of Service Quality on Customer Satisfaction, Persistence Intention and Cross-buying Intention, and Conducted an Empirical Analysis on the Customers who Use Banks. First, it was Confirmed that Three Dimensions of Service Quality Physical Environment Quality, Interaction Quality and Outcome Quality are One of the Sources that Form the Customer Satisfaction for Banks. Second, the Higher the Perceived Bank's Interactive Product Quality, Outcome Quality, and Physical Environment Quality Perceived by Customers Using Bank, it's Shown to have more Positive Effect on Customer Satisfaction, and the Effect Size was Shown in Order of Interaction Quality, Physical Environment Quality, and Outcome Quality. Third, Customer Satisfaction on Bank Services was Shown to have a Positive Effect on Relationship Intention and Cross-buying Intention. Finally, Based on the Results of this Analysis, the Implications of this Study and Future Research Directions were Presented.

• Asia Marketing Journal
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• v.11 no.3
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• pp.57-89
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• 2009

This study aims to shed light on the new insights on the cross-buying intentions in the banking industry and suggests an integrated model of the cross-buying intentions. Recently with globalization in the financial sector, financial companies are trying to retain current customers and attract new one by developing various financial products. In South Korea, this trend is especially apparent in the banking sector. Cross-selling of various financial products such as beneficiary certificates, bankasurance and etc. is becoming more important in retaining competitive advantage in Korean banking industry. However, there are few studies which are trying to find out the factors affecting cross-buying intentions and explain their interrelationships comprehensively. Based upon the previous studies, this study finds out the factors affecting cross-buying intentions and classifies them into two dimensions: affective and instrumental. Affective dimension includes trust, satisfaction and commitment. Instrumental dimension includes the factors such as geological convenience, one-stop convenience, professionality, and direct mail. The results from this study are as follow. All the factors in the affective dimension(trust, satisfaction and commitment) have significant impacts on cross-buying intentions. Also all the factors in the instrumental dimension(geological convenience, one-stop convenience, professionality, and DM) significantly affect cross-buying intentions. Some implications of this dissertation are as follow; First, this study identifies the antecedents of cross-buying intentions comprehensively. Second, this paper provides practical guidelines for the banks attempting to intensify cross-selling activities. Third, banks need to develop sophisticated plans which can consolidate the emotional ties with customers through positive service experiences as the affective dimension is important in influencing cross-buying intentions. Finally, regarding the instrumental dimesnion, the implications are: 1) Developing various new financial products in addition to traditional product such as deposits and installment savings for improving customer convenience, 2) Enhancing the professionality of employees by strengthening education programs on numbers of financial products, 3) Increasing cross-buying intentions through the DM.

• Journal of the Korea Computer Graphics Society
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• v.7 no.3
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• pp.1-7
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• 2001

We present an efficient and robust algorithm to parametrize a perspective silhouette curve of a canal surface. We also detect each connected component of the silhouette. A canal surface is an envelope surface of a moving sphere with varying radii, which is defined by the center trajectory C(t) and radius function r(t) of the moving sphere. A canal surface can be decomposed to a set of characteristic circles. We derive the equations for the silhouette points on each characteristic circle, then parameterize the silhouette curve by using the equation. The sphere $S(t_*)$ with center point $C(t_*)$ and radius $r(t_*)$ intersects with the canal surface at a characteristic circle $K(t_*)$. The perspective silhouette of the sphere $S(t_*)$ from given view point consists of a circle $Q(t_*)$. By finding the values of t at which K(t) and Q(t) tangentially intersect, we detect each connected component of the silhouette curve.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.563-567
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• 2023

본 연구는 한국 통계청이 수행하는 가계동향조사와 생활시간조사에서 자료처리 과정 및 방법을 혁신하려는 시도로, 기존의 통계 생산 방법론의 한계를 극복하고, 대규모 데이터의 효과적인 관리와 분석을 가능하게 하는 인공지능 기반의 통계 생산을 목표로 한다. 본 연구는 데이터 과학과 통계학의 교차점에서 진행되며, 인공지능 기술, 특히 자연어 처리와 딥러닝을 활용하여 비정형 텍스트 분류 방법의 성능을 검증하며, 인공지능 기반 통계분류 방법론의 확장성과 추가적인 조사 확대 적용의 가능성을 탐구한다. 이 연구의 결과는 통계 데이터의 품질 향상과 신뢰성 증가에 기여하며, 국민의 생활 패턴과 행동에 대한 더 깊고 정확한 이해를 제공한다.

• Geophysics and Geophysical Exploration
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• v.14 no.1
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• pp.25-41
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• 2011

AVO analysis was conducted on hydrocarbon-bearing structures by applying the crossplot and offset-coordinate amplitude polynomial techniques. To evaluate the applicability of the AVO analysis, it was conducted on synthetic data that were generated with an anticline model, and field data from the hydrocarbon-bearing Colony Sand bed in Canada. Analysis of synthetic data from the anticline model demonstrates that the crossplot method yields zero-offset reflection amplitude and amplitude variation with negative values for the upper interface of the hydrocarbon-bearing layer. The crossplot values are clustered in the third quadrant. The results of AVO analysis based on the coefficients of the amplitude polynomial are similar to those from the crossplots. These well correlated results of AVO analysis on field and synthetic data suggest that both methods successfully investigate the characteristics of the reflections from the upper interface of a hydrocarbon-bearing layer. Analysis based on the incident-angle equation facilitates the application of various interpretation methods. However, it requires the conversion of seismic data to an incident angle gather. By contrast, analysis using coefficients of the amplitude polynomial is cost-effective because it allows examining amplitude variation with offset without involving the conversion process. However, it warrants further investigation into versatile application. The two different techniques can be complement each other effectively as AVO-analysis tools for the detection of hydrocarbon reservoirs.