• Korean Journal of Culture and Social Issue
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• v.9 no.1
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• pp.1-21
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• 2003

A survey of 220 male and 233 female residents of Seoul was carried out to investigate why women appeared to be more fearful of crime than men. As expected, female respondents reported higher levels of fear of crime and perceived physical vulnerability to crime. Incivility factors in the neighborhood and perceived possibility of criminal victimization were significant predictors of fear of crime for both male and female respondents. For women more psychological variables such as trait anxiety and age were other significant predictors of their fear of crime, whereas the distance to police station and frequency of watching crime-related TV programs were significant predictors for men's fear of crime.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.2
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• pp.127-137
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• 2010

A Widget platform is acknowledged to be a next generation intelligent platform that is well suited to Web 2.0 and mobile convergence environments. With prospects of growth, examining users' perceptions of current widgets can be a valuable source of information in setting directions for Widget's future development. This study identifies user interface factors that affect widget usability and investigates a strategic approach to promoting the use of widgets by analyzing user's "intention to use" in connection with the identified interface factors. The experimental results show the consistency, intuition, minimal action, and personalization have a positive(+) effect on perceived ease of use and that personalization and design have a causal effect on perceived enjoyment. Inaddition, perceived ease of use has an influence on perceived enjoyment that, inturn, has a direct influence on intention to use. On the other hand, the hypothesis that perceived ease of use has a direct effect on intention to use was rejected.

• Korean Journal of Social Welfare
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• v.68 no.3
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• pp.149-180
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• 2016

The purpose of the present study was to examine the validity and reliability of the Korean version of PANSI(Positive and Negative Suicide Ideation: K-PANSI) scale which was developed to measure adolescents' suicide ideation. The study sample consisted of 552 middle school students using a questionnaire survey including the K-PANSI. A reliability analysis, a correlation analysis, and a confirmatory factor analysis were used to test internal consistency(Cronbach alpha), criterion validity (with respect to CES-D, BDI, RES, SWLS), and construct validity. Major study findings are as follows. First, Cronbach' ${\alpha}$ of the K-PANSI scale is supported to some degree by significant correlations with CES-D, BDI, RES, SWLS. Lastly, the confirmatory factor analysis of the K-PANSI scale showed that a two factor model was appropriate with 66.0 percent of explanatory power. These findings suggest that the K-PANSI scale could be used as a reliable and valid measure for adolescent' suicide ideation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.248-259
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• 2017

This descriptive correlational study was conducted to identify the factors influencing the uncertainty of patients undergoing chemotherapy for lung neoplasms. One hundred and eleven patients were recruited from the chemotherapy clinic of a university hospital. Data were collected from July 25 to December 31, 2014, and analyzed by descriptive statistics, the t-test, ANOVA, the Scheffe test, Pearson's product moment correlation coefficients and multiple regression analysis with SPSS for Windows Version 18.0. The mean score of the uncertainty of the patients undergoing chemotherapy for lung neoplasms was 2.61(${\pm}0.46$), which was higher than that of the patients with other diseases. The uncertainty was positively correlated with the seriousness of the illness (r=.74, p<.01) and consistency of the symptoms (r=.27, p<.01). Multiple regression analysis showed that the (main) factor influencing the uncertainty was the seriousness of the illness, which explained 54% of the uncertainty of the patients undergoing chemotherapy for lung neoplasms. As a result, nursing interventions are needed to reduce the uncertainty of lung neoplasm patients who are receiving chemotherapy. The seriousness of the illness should be considered when developing nursing interventions to reduce the uncertainty of lung neoplasm patients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3870-3881
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• 2015

This study examined one of the contemporary issues on debate to identify any significant financial determinants on the cash holdings of the cheabol firms in the Korean domestic capital markets. Several important findings on the financial characteristics affecting the cash holdings were evidenced by utilizing various methodologies for statistical estimations. Financial or managerial implications with discussion were provided for the pronounced factors such as CASHFLOW, MVBV, REINVEST, and AGENCY. Assuming that the chaebol firms were overall subject to the financial constrains, they may increase or stockpile cash reserves as internal capital for future investment opportunities or repayment of existing debt, rather than external financing burdened by a high cost of capital. Given the on-going controversy on the optimal level of corporate cash holdings coupled with any foreseeable capital transfer among the associated nations through the investment vehicles such the FTAs (Free Trade Agreements) or TPP (Trans-Pacific Pacts), any empirical findings of the study may shed new light on identifying financial determinants which may significantly affect the level of cash holdings for the business conglomerates, the 'chaebol' firms, in the Korean capital markets.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.539-542
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• 2006

Personal Software Process (PSP)에서 개인 개발자들이 수행해야 되는 측정 및 분석 활동이 제시된다. 측정 및 분석 활동의 일관되고 지속적인 수행으로 개발자들은 소프트웨어 품질 향상, 보다 정확한 예측, 개인 역량의 객관적인 평가, 개인 프로세스의 정량적 관리 등의 이득을 얻을 수 있다. 측정 및 분석 활동에서 신뢰성 있는 데이터의 수집이 무엇보다 중요하다. 하지만, 데이터 수집의 높은 오버헤드(overhead)와 컨텍스트 스위칭(context switching)의 문제로 인하여 신뢰성 있는 데이터의 수집에 많은 어려움이 존재한다. 이러한 어려움을 감소시키기 위해 자동 데이터 수집 및 분석 기법이 연구되어 왔다. 본 논문에서는 기존의 자동 데이터 수집 및 분석 기법을 확장하여 웹 애플리케이션 개발에서의 개인 프로세스 데이터를 자동 수집 및 분석 하는 도구를 설명한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.223-226
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• 2007

지식 발견 (knowledge discovery)의 관점에서, 단기간 동안 취득된 데이터 패턴을 학습하고자 하는 경우 데이터에 비일관적인(inconsistent) 패턴이 포함되어 있다면 확률적 퍼지 룰(probabilistic fuzzy rule) 기반의 지식 표현 방법 및 적절한 학습 알고리즘을 이용하여 효과적으로 다룰 수 있다. 하지만 장기간 동안 지속적으로 얻어진 데이터 패턴을 다루고자 하는 경우, 데이터가 시변(time-varying) 특성을 가지고 있으면 기존에 추출된 지식을 변화된 데이터에 활용하기 어렵게 된다. 때문에 이러한 데이터를 다루는 학습 시스템에는 패턴의 변화에 맞추어 갈 수 있는 지속적인 적응력(adaptivity)이 요구된다. 본 논문에서는 이러한 적응성의 측면을 고려하여 평생 학습(life-long learning)의 관점 에 서 확률적 퍼지 룰 기반의 학습 시스템에 적용될 수 있는 두 가지 형태의 적응 방법에 대해서 설명하도록 한다.

• Journal of Venture Innovation
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• v.6 no.2
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• pp.21-39
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• 2023

The study investigates the impact of family ownership heterogeneity on the internationalization decisions of family-owned enterprises from ICT sectors in South Korea. The study uses prospect theory to explore the relationship between ownership structure and internationalization. The study finds that as performance improves, the ultimate owner (CEO) is negatively related to internationalization, while other family members are positively related, demonstrating the heterogeneous behavior of family members. The study suggests that the ultimate owner (CEO) tends to avoid risks associated with internationalization, while other family members are willing to take risks. To better understand the various risk behaviors of family firms regarding internationalization, the inherent heterogeneity of family firms, particularly in light of different risk behaviors between the ultimate owner (CEO) and other family members, may explain the inconsistent results in studies on the effect of family ownership on internationalization.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.382-382
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• 2020

과거 많은 연구에서 다수의 모형의 결과를 이용한 앙상블 방법론은 인공지능 모형 (artificial neural network)의 예측 능력에 향상을 갖고 온다 논하였다. 본 연구에서는 미계측유역의 저수량(low flow)의 예측을 위하여 Jittering을 기반으로 한 인공지능 모형을 제시하고자 한다. 기본적인 방법론은 설명변수들에게 백색 잡음(white noise)를 삽입하여 훈련되는 자료를 증가시키는 것이다. Jittering을 기반으로 한 인공지능 모형에 대한 효과를 검증하기 위하여 본 연구에서는 Multi-output neural network model을 기반으로 모형을 구축하였다. 다음으로 Jittering을 기반으로 한 앙상블 모형을 variable importance measuring algorithm과 결합시켜서 유역특성치와 예측되는 저수량의 특성치들의 관계를 추론하였다. 본 연구에서 사용되는 방법론들의 효용성을 평가하기 위해서 미동북부에 위치하고 있는 총 207개의 유역을 사용하였다. 결과적으로 본 연구에서 제시한 Jittering을 기반으로 한 인공지능 앙상블 모형은 단일예측모형 (single modeling approach)을 정확도 측면에서 우수한 것으로 확인되었다. 또한, 적은 숫자의 앙상블 모형에서도 그 정확성이 단일예측모형보다 우수한 것을 확인하였다. 마지막으로 본 연구에서는 유역특성치들의 효과가 살펴보고자 하는 저수량의 특성치들에 따라서 일관적으로 영향을 미치거나 그 중요도가 변화하는 것을 확인하였다.

• The Transactions of the Korea Information Processing Society
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• v.3 no.2
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• pp.327-338
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• 1996

In this paper, we present a new checkpointing algorithm to preserve the consistency of resources in distributed transaction processing systems, and the error recovery algorithms to recover form the failure. In comparison with the existed algorithms, the checkpointing algorithm proposed in this paper can minimize the interference of the distributed transaction and the stroage cost during checkpointing, and does not need the extra message to make th checkpoint. Also we show that the error recovery algorithms prevent the distributed transaction with a partial fault from spreading the fault, which calls domnio-effect and prevent them from restarting cyclically. And we describe the correctness and the performane of the proposed algorithms.