• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.4
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• pp.356-365
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• 1988

In this paper, we describe an isolated words recognition system for Korean isolated digits based on a voiced -unvoiced decision algorithm and a frequency domain analysis. The algorithm first performs a voiced-unvoiced decision procedure for the begtinning part of each uttered work using the normalized log energy and zero crossing rate as decision parameters. Based on this decision,. each word is assigned to one of two classes. In order to identify the uttered word within each class, a dynamic time warping algorithm is applied using formant frequencies as the basis for the distance measure. We exploit a pole-zero analysis to measure formant frequencies in each frame. We have observed that pole-zero analysis can provide more accurate estimation of formant frequencies than analysis based on poles only. Experimental recognition rates of 97.3% illustrating the performance of the recognition system was achieved.

• Journal of Engineering Education Research
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• v.21 no.1
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• pp.14-26
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• 2018

The goal of this study was to explore topic defining patterns of students in interdisciplinary Capstone Design Class. Thematic analysis methodology was used to examine 85 Korean college students' lived experience of project topic generation which is for interdisciplinary capstone design class and Individual open-ended survey for constituted the data sources. Findings show four contexts of student's topic defining patterns using thematic analysis including (a) one leader's directed problem representation, (b) team common decision making after brainstorming, (c) empathy with professor proposed issue, (d) problems offered to students by corporate or research competitions. Based on research result, I could suggest instructional strategies of Capstone Design Class of teacher for helping their students' topic defining. It was necessary to minimize the opinions of the instructors at the beginning of class and minimize the number of team members. And also it provided a lot of opportunities to collaborate with companies in the topic selection process, it will help to develop the students' ability to determine the valuable topic in project.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1999.04a
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• pp.240-241
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• 1999

• Journal of Yeungnam Medical Science
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• v.18 no.2
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• pp.208-214
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• 2001

Background: When we make treatment plan of class III malocclusion children, it is difficult to determine whether we treat it with orthognathic surgery or without orthognathic surgery. To determine that, we must consider many factors, such as cephalometric analysis, growth pattern, family history, and skeletal age. A Harvold cephalometric analysis is useful in determining the amount of discrepancy by comparing the maxillary unit length with mandibular, unit length. We tried this study to help the decision of treatment planning in class ill malocclusion children by comparison in class III malocclusion and normal occlusion children using a Harvold analysis. Materials and Methods: The materials for this study consisted of 20 class III malocclusion children. Cephalometric tracing and measurements were performed by one investigator. The control group consisted of 18 normal occlusion children and lateral cephalograms were obtained from 8.5 to 14.5 years old children biannually. The relationships between class III malocclusion group and normal occlusion group were evaluated statistically. Results: The lower anterior facial heights between two groups were not significantly different, although the lower anterior facial heights of class III malocclusion group was higher than those of normal occlusion group in all age groups. The Maxillary-mandibular unit length differences of class III malocclusion group were significantly higher than those of normal occlusion group(p<0.05). Conclusion: A Harvold analysis was useful to make treatment planning for class III malocclusion children.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.4
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• pp.332-339
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• 2014

Face classification has wide applications in security and surveillance. However, this technique presents various challenges caused by pose, illumination, and expression changes. Face recognition with long-distance images involves additional challenges, owing to focusing problems and motion blurring. Multiple frames under varying spatial or temporal settings can acquire additional information, which can be used to achieve improved classification performance. This study investigates the effectiveness of multi-frame decision-level fusion with photon-counting linear discriminant analysis. Multiple frames generate multiple scores for each class. The fusion process comprises three stages: score normalization, score validation, and score combination. Candidate scores are selected during the score validation process, after the scores are normalized. The score validation process removes bad scores that can degrade the final output. The selected candidate scores are combined using one of the following fusion rules: maximum, averaging, and majority voting. Degraded facial images are employed to demonstrate the robustness of multi-frame decision-level fusion in harsh environments. Out-of-focus and motion blurring point-spread functions are applied to the test images, to simulate long-distance acquisition. Experimental results with three facial data sets indicate the efficiency of the proposed decision-level fusion scheme.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.221-230
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• 2022

The purpose of this study is to identify career decision-making types of college students majoring in beauty, and to improve career preparation behaviors by analyzing their effects on career preparation behaviors and major satisfaction. It was conducted from November 1 to 30, 2021, and a total of 485 questionnaires were used as analysis data. Frequency analysis, factor analysis, reliability analysis, correlation analysis, and multiple regression analysis were performed as research methods. As a result of the study, first, the type of career decision-making showed a positive (+) correlation between career preparation behavior and major satisfaction, indicating that it was statistically significant. Second, rational career decision-making style was correlated with dependence and intuitive style. As the career preparation behavior, the career preparation behavior of time effort, ability activity, and information collection, and the satisfaction of the major showed a statistically significant positive (+) correlation in class satisfaction and subject satisfaction. Third, among career decision-making types, rational and dependent types were found to have a statistically significant effect on ability activity, which is a sub-factor of career preparation behavior.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4502-4518
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• 2015

Fisher linear discriminant analysis (LDA) is one of the most popular projection techniques for feature extraction and has been widely applied in face recognition. However, it cannot be used when encountering the single sample per person problem (SSPP) because the intra-class variations cannot be evaluated. In this paper, we propose a novel method called local similarity based linear discriminant analysis (LS_LDA) to solve this problem. Motivated by the "divide-conquer" strategy, we first divide the face into local blocks, and classify each local block, and then integrate all the classification results to make final decision. To make LDA feasible for SSPP problem, we further divide each block into overlapped patches and assume that these patches are from the same class. To improve the robustness of LS_LDA to outliers, we further propose local similarity based median discriminant analysis (LS_MDA), which uses class median vector to estimate the class population mean in LDA modeling. Experimental results on three popular databases show that our methods not only generalize well SSPP problem but also have strong robustness to expression, illumination, occlusion and time variation.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.376-387
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• 2017

The creative class is the class of workers whose job is to create meaningful new forms. Recently, much attention has been focused on the role of the creative class in regional development. Many policy makers have invested to amenities to attract more creative class into their cities or regions for regional economic growth. However, there are only a few studies about the migration of the creative class in Korea. The purpose of this study is to make an analysis of the movement of the creative class by using the 17th Korean Labor & Income Panel Study. According to empirical results, the creative class are more likely to move than the non-creative class. The characteristic of creative class who moved is related to married man aged 20s and 30s without own house. Also, there is the difference between determinants of migration of the creative class and the non-creative class. It was founded that the most important determinants of migration of the creative class are housing related reasons such as home ownership and job reasons. Relationship, convenient facilities are not important factors when the creative class make a decision to move.

• Journal of Arbitration Studies
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• v.28 no.2
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• pp.91-110
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• 2018

Consumers repeatedly make small sum purchases through business-to-consumer contracts, usually without incident. Consumer areas have been increasing; therefore, consumer disputes have been occurring frequently as well. In international consumer transactions, it is not easy to solve consumer disputes by applying the laws of different countries. Resolving disputes by using the consumer arbitration system can be a measure to protect consumers. In the U.S., a class arbitration is being operated as a mixed dispute resolution system of class action and arbitration. Consumer Arbitration has long been a controversial issue in the U.S. It is therefore a lesson for us to examine related cases. A recent U.S. Supreme Court decision, DIRECTV v. Imburgia, was looked into and after a summary of the facts, issues, and opinions and opposing opinions that had a tight controversy, a close analysis was done. The analysis through this judgment is as follows: first, the contraction of consumer protection; second, the expansion of the Federal Arbitration Act scope; third, the class arbitration's restriction; and fourth, the submission of the arbitration fairness act.

• Human Ecology Research
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• v.60 no.2
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• pp.257-271
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• 2022

The aim of this study was to explore the types of helicopter parenting among college students, and to examine how the identified types of helicopter parenting are associated with intimacy goals in dating. In order to investigate these purposes, 202 college students were recruited and analyzed. With the use of Mplus 7.4, a latent profile analysis identified latent profiles of helicopter parenting. Additionally, multivariate regression analysis was conducted in order to analyze the links between the types of helicopter parenting and intimacy goals in dating by using SPSS 26.0. The main findings of the study were as follows. Firstly, three helicopter parenting classes were identified: 1) strong decision-making, 2) strong helicopter parenting, 3) weak helicopter parenting. Secondly, college students in the strong helicopter parenting class reported significantly higher levels of intimacy goals in dating than those in the strong decision-making class. On the other hand, no significant connection was identified between the type of 'weak helicopter parenting' and the levels of intimacy goals in dating, referencing the type of 'strong helicopter parenting.' These results indicate that helicopter parenting has a certain number of types in nature, and the control-based parental behavior could have an impact on college students' intimacy goals in dating.