• Journal of the Korean Statistical Society
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• 제29권3호
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• pp.337-350
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• 2000

This paper suggests a new diagnostic measure and a stopping rule for detecting influential observations in multiple discriminant analysis (MDA). It is developed from a Bayesian point of view using a default Bayes factor obtained from the fractional Bayes factor methodology. The Bayes factor is taken as a discriminatory information in MDA. It is shown that the effect of an observation over the discriminatory information is fully explained by the diagnostic measure. Based on the measure, we suggest a stopping rule for detecting influential observations in a given training sample. As a tool for interpreting the measure a graphical method is sued. Performance of the method is used. Performance of the method is examined through two illustrative examples.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2022년도 제65차 동계학술대회논문집 30권1호
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• pp.165-166
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• 2022

본 연구에서는 2020장애인 고용패널조사 데이터 중 4대 사회보험에 가입되어 있는 경제활동 장의 인 직업능력 필요정도와 직무만족 간에 복리후생의 매개효과와 차별경험의 조절효과를 검증하기 위해 목적으로 수행되었다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2003년도 추계종합학술대회
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• pp.720-723
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• 2003

이제까지의 디지털 홈 연구는 네트워크기술과 보안 관련 시스템에 관한 것이 주를 이루었다. 홈 네트워크에서 개인화 되고 차별화 된 서비스의 제공이 새로운 이슈로 부각되고 있다. 본 논문에서 제안하는 시스템은 가족 구성원 각자의 특성을 고려한 차별적인 서비스를 제공한다. 출입통제시스템을 통하여 내부 사용자 정보를 얻고, 컨트롤러는 내부 사용자의 데이터베이스를 활성화시켜 차별적인 환경을 제공하고, 홈 네트워크의 서브시스템을 제어하는 것이다. 예로, 사용자 연령에 따라 TV 프로그램 혹은 채널을 제한하거나 사용자마다의 다른 인터넷 환경을 제공하거나 전화번호에 제한을 둘 수 있고, 홈쇼핑 결제 권한을 제한하는 등 가족 구성원간의 차별적인 환경을 자동으로 제공할 수 있다.

• Journal of Gastric Cancer
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• 제20권4호
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• pp.385-394
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• 2020

Purpose: Patients with gastric cancer who receive neoadjuvant therapy are staged before treatment (cStage) and after treatment (ypStage). We aimed to compare the prognostic reliability of cStage and ypStage, alone and in combination. Materials and Methods: Data for all patients who received neoadjuvant therapy followed by surgery for gastric adenocarcinoma from 2004 to 2015 were extracted from the National Cancer Database. Kaplan-Meier (KM)curves were used to model overall survival based on cStage alone, ypStage alone, cStage stratified by ypStage, and ypStage stratified by cStage. P-values were generated to summarize the differences in KM curves. The discriminatory power of survival prediction was examined using Harrell's C-statistics. Results: We included 8,977 patients in the analysis. As expected, increasing cStage and ypStage were associated with worse survival. The discriminatory prognostic power provided by cStage was poor (C-statistic 0.548), while that provided by ypStage was moderate (C-statistic 0.634). Within each cStage, the addition of ypStage information significantly altered the prognosis (P<0.0001 within cStages I-IV). However, for each ypStage, the addition of cStage information generally did not alter the prognosis (P=0.2874, 0.027, 0.061, 0.049, and 0.007 within ypStages 0-IV, respectively). The discriminatory prognostic power provided by the combination of cStage and ypStage was similar to that of ypStage alone (C-statistic 0.636 vs. 0.634). Conclusions: The cStage is unreliable for prognosis, and ypStage is moderately reliable. Combining cStage and ypStage does not improve the discriminatory prognostic power provided by ypStage alone. A ypStage-based prognosis is minimally affected by the initial cStage.

• Journal of Information Processing Systems
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• 제8권3호
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• pp.483-494
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• 2012

Many recent events, such as terrorist attacks, exposed defects in most sophisticated security systems. Therefore, it is necessary to improve security data systems based on the body or behavioral characteristics, often called biometrics. Together with the growing interest in the development of human and computer interface and biometric identification, human face recognition has become an active research area. Face recognition appears to offer several advantages over other biometric methods. Nowadays, Principal Component Analysis (PCA) has been widely adopted for the face recognition algorithm. Yet still, PCA has limitations such as poor discriminatory power and large computational load. This paper proposes a novel algorithm for face recognition using a mid band frequency component of partial information which is used for PCA representation. Because the human face has even symmetry, half of a face is sufficient for face recognition. This partial information saves storage and computation time. In comparison with the traditional use of PCA, the proposed method gives better recognition accuracy and discriminatory power. Furthermore, the proposed method reduces the computational load and storage significantly.

• 한국정보시스템학회지:정보시스템연구
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• 제30권1호
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• pp.45-64
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• 2021

Purpose The traditional topic modeling technique makes it difficult to distinguish the semantic of topics because the key words assigned to each topic would be also assigned to other topics. This problem could become severe when the number of online reviews are small. In this paper, the extended model of topic modeling technique that can be used for analyzing a small amount of online reviews is proposed. Design/methodology/approach The extended model of being proposed in this paper is a form that combines the traditional topic modeling technique and the Word2Vec technique. The extended model only allocates main words to the extracted topics, but also generates discriminatory words between topics. In particular, Word2vec technique is applied in the process of extracting related words semantically for each discriminatory word. In the extended model, main words and discriminatory words with similar words semantically are used in the process of semantic classification and naming of extracted topics, so that the semantic classification and naming of topics can be more clearly performed. For case study, online reviews related with Udo in Tripadvisor web site were analyzed by applying the traditional topic modeling and the proposed extension model. In the process of semantic classification and naming of the extracted topics, the traditional topic modeling technique and the extended model were compared. Findings Since the extended model is a concept that utilizes additional information in the existing topic modeling information, it can be confirmed that it is more effective than the existing topic modeling in semantic division between topics and the process of assigning topic names.

• 전자공학회논문지C
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• 제34C권10호
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• pp.67-75
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• 1997

A design for a system to perform rapid recognition of three dimensional objects is presented, focusing on efficient indexing. In order to retrieve the best matched models without exploring all possible object matches, we have employed a bayesian framework. A decision-theoretic measure of the discriminatory power of a feature for a model object is defined in terms of posterior probability. Detectability of a featrue defined as a function of the feature itselt, viewpoint, sensor charcteristics, nd the feature detection algorithm(s) is also considered in the computation of discribminatory power. In order to speed up the indexing or selection of correct objects, we generate and verify the object hypotheses for rfeatures detected in a scene in the order of the discriminatory power of these features for model objects.

• 한국학교보건학회지
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• 제24권1호
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• pp.61-70
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• 2011

Purpose: To identify factors associated with children's discriminatory attitudes towards fully recovered children who contracted the 2009 Influenza A (H1N1), in order to provide fundamental information to improve health education for children. Methods: Cross-sectional data were collected from the entire 6th grade classes (N=2,323) of 11 elementary schools randomly selected from 11 school districts in the Seoul Metropolitan Area of South Korea. Questionnaires were used to assess participants' knowledge of and attitudes towards the Influenza A (H1N1) virus. Results: Multiple regression analyses were used to investigate the factors associated with children's discriminatory attitudes toward fully recovered children who had contracted the 2009 Influenza A (H1N1). Multiple regression analysis revealed that perceived risk of contracting and knowledge of 2009 influenza A (H1N1) were significant factors in predicting a child's attitude toward fully recovered Influenza A (H1N1) patients, after controlling for socioeconomic variables. Conclusion: The findings suggests that perceived risk and knowledge play important roles in formulating children's appropriate attitudes towards Novel influenza A (H1N1) patients who are fully recovered from the disease. To promote and maximize children's attitudes in this area, health education needs to be directed at children to reduce excessive concern about contracting the virus and to improve their overall health knowledge.

• 한국언론정보학보
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• 제79권
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• pp.165-195
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• 2016

이 연구는 온라인 포털 뉴스에 대한 혐오성 댓글의 제3자 효과를 분석하였으며, 특히 뉴스 이용자의 성향에 따라 제3자 효과가 어떻게 달라지는지 살펴보았다. 구체적으로 이주민의 불법체류에 관련된 뉴스 댓글을 혐오성 댓글과 이성적 논조의 댓글로 나누어 댓글 속성, 즉 표현방식에 따른 제3자 효과를 온라인 실험연구를 통해 비교하였다. 그리고 이용자의 이념적 성향과 이주민에 대한 차별적 성향에 따라 혐오성 댓글의 제3자 효과가 어떤 차이를 보이는지 분석하였다. 479명이 온라인 실험에 참가하였으며, 실험참가자는 혐오성 댓글(실험집단)과 이성적 댓글(통제집단)에 무작위로 할당되었다. 연구 결과, 진보적 성향의 뉴스 이용자는 혐오 표현 유무와 관계없이 전반적으로 제3자 효과가 높게 나타났지만, 보수적 성향의 이용자는 혐오성 댓글에서만 제3자 효과가 높게 나타나는 것을 확인하였다. 전통적으로 제3자 효과 연구는 주로 매스미디어를 대상으로 이루어졌는데, 이 연구는 이러한 효과 이론을 이용자의 댓글이라는 새로운 현상에 적용하고, 이 효과가 뉴스 이용자의 이념적 성향, 다문화에 대한 차별적 태도 등 이슈와 밀접하게 관련된 개인적 특성에 따라 어떻게 불균등하게 발생하는지를 살펴보았다는 점에서 의의가 있다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.20-26
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• 2021

Considering the role of a financial analyst that directly affects investors as an information mediator, management's decision to disclose to maximize corporate value will have an important impact on investors as well. On the other hand, whether or not managers vary the level of disclosure depending on the corporate form will have great implications for policy authorities. However, there is no domestic research on the relationship between the corporate form and the quality of voluntary disclosure. Our study shows that the corporate form tends to deepen the negative relationship between the proprietary information cost and the quality of disclosure. Examining whether the relationship between proprietary information cost and management disclosure decision making is valid for domestic companies is expected to provide meaningful implications for investors and regulators. Depending on the corporate form, if an entity makes a discriminatory disclosure, the cost of capital will be affected. A more in-depth follow-up study on this should be done.