• Journal of the Korean Statistical Society
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• v.29 no.3
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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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.720-723
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• 2003

So far the study of digital home has mainly been made up of the network technology and the sorority system, but the application to consider the discriminatory characteristics of the individual family members has been interested in comparison with the necessity. The system proposed in this study is to get the information of the internal users through the access-controlling system. The controller offers the discriminatory environment by activating the database of the internal users and controls the sub-system of the home-network. The suggested system can automatically offer the discriminatory environment among the family members by limiting TV programs or channels according to the users' age, by offering other internet environment according to the users, by putting restrictions on telephone numbers, or by restricting the settling right of the home-shopping companies.

• Journal of Gastric Cancer
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• v.20 no.4
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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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• v.8 no.3
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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.

• The Journal of Information Systems
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• v.30 no.1
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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.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.10
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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.

• Journal of the Korean Society of School Health
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• v.24 no.1
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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.

• Korean journal of communication and information
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• v.79
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• pp.165-195
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• 2016

This paper aims to examine the third-person effect(TPE) of hate comments on online news, and analyze how the issue-relevant audience factors as well as the characteristics of the online message have influence on the TPE. More specifically, based on the distinction between hateful and logical comments regarding the issue of illegal immigration, the authors have conducted an online experiment that compares how the message-related features, i.e., ways of expressing the ideas, lead to the difference in TPE. Analysis was also conducted with regards to how political orientation and discriminatory predisposition to immigrants among the audiences, have different impacts on the TPE. The 479 participants in the experiments were randomly assigned to experimental group(exposed to hate comments) or control group(exposed to logical comments). The results reveal that the TPE of hate comments is higher than that of logical message. The same message proved to be more effective for news users with liberal orientation and discriminatory predisposition. The significance of this paper lies in that it has examined the effect of online hate comments in a rigorous experimental setting. Also the research further elaborated on the audience-related variables, for which the previous studies tended to focus those on the general psychological level rather than relate them more specifically to the issues.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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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.