• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.641-648
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• 2001

A face detection in color images is important for many multimedia applications. It is first step for face recognition and can be used for classifying specific shorts. This paper describes a new method to detect faces in color images based on the skin color and hair color. This paper presents a fuzzy-based method for classifying skin color region in a complex background under varying illumination. The Fuzzy rule bases of the fuzzy system are generated using training method like a genetic algorithm(GA). We find the skin color region and hair color region using the fuzzy system and apply the convex-hull to each region and find the face from their intersection relationship. To validity the effectiveness of the proposed method, we make experiment with various cases.

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 2001.11a
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• pp.204-211
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• 2001

For the treatment of high compressibility number in the Reynolds equation, a new class of exponential high-order shape functions has been recently introduced in the literatures. In this paper a FE lubrication analysis method of high speed gas mechanical face seals is developed, implementing these shape functions. Their validity and usefulness are presented using 1-D gas bearing models. And a validation of developed 2-D analysis code is shown with a gas flat and spiral groove face seal models.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.10
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• pp.63-71
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• 1996

This paper proposes a method which analyzes facial shape and extracts positions of eyes regardless of the tilt and the size of input iamge. With the extracted feature parameters of facial element by the method, full human faces are recognized by a neural network which BP algorithm is applied on. Input image is changed into binary codes, and then labelled. Area, circumference, and circular degree of the labelled binary image are obtained by using chain code and defined as feature parameters of face image. We first extract two eyes from the similarity and distance of feature parameter of each facial element, and then input face image is corrected by standardizing on two extracted eyes. After a mask is genrated line historgram is applied to finding the feature points of facial elements. Distances and angles between the feature points are used as parameters to recognize full face. To show the validity learning algorithm. We confirmed that the proposed algorithm shows 100% recognition rate on both learned and non-learned data for 20 persons.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.6
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• pp.31-40
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• 2003

Most face recognition systems are based on 2D images and applied in many applications. However, it is difficult to recognize a face when the pose varies severely. Therefore, head pose estimation is an inevitable procedure to improve recognition rate when a face is not frontal. In this paper, we propose a novel head pose estimation algorithm for 3D face recognition. Given the 3D range image of an unknown face as an input, we automatically extract facial feature points based on the face curvature. We propose an Error Compensated Singular Value Decomposition (EC-SVD) method based on the extracted facial feature points. We obtain the initial rotation angle based on the SVD method, and perform a refinement procedure to compensate for remained errors. The proposed algorithm is performed by exploiting the extracted facial features in the normaized 3D face space. In addition, we propose a 3D nearest neighbor classifier in order to select face candidates for 3D face recognition. From simulation results, we proved the efficiency and validity of the proposed algorithm.

• Korean Journal of Community Nutrition
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• v.25 no.4
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• pp.317-328
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• 2020

Objectives: The objective of this study was to verify the validity of a mobile phone application (app) that applies a 24-hour dietary recall with meal photos, as a means of being a more accurate method of estimating dietary sodium intake. Methods: Of the 203 subjects enrolled, 172 subjects (84 males and 88 females) were selected for the final analysis, excluding those with an intake less than 500 kcal and urine output less than 500 ml. Dietary sodium assessment methods used for comparing with the 24-hour urinary sodium excretion are as follows: 1) face-to-face 24-hour dietary recall, 2) 24-hour dietary recall using the mobile app, 3) face-to-face 24-hour dietary recall considering liquid intakes from soup, stew, water kimchi and noodle, etc (liquid-based dishes), 4) 24-hour dietary recall using the mobile app considering liquid intakes from liquid-based dishes, and 5) food frequency questionnaire. Repeated ANOVA with Bonferroni method was used for comparing the average sodium intake, and Pearson's correlation was applied to correlate the methods used. Results: In women, no significant difference was observed in the average sodium intake between all methods. Moreover, analysis in men and total adults revealed no significant difference between the 24-hour urinary sodium secretion, and 24-hour dietary recall using the app and 24-hour dietary recall using the app considering liquid intakes. Sodium intake by food frequency questionnaire was significantly different when compared with the intake determined from 24-hour urinary sodium excretion. Sodium intake from all methods (except food frequency questionnaire) significantly correlated with values obtained from 24-hour urine sodium excretion. Conclusions: Results of this study validated a mobile phone app using a 24-hour dietary recall with meal photos to better estimate dietary sodium intakes. It is believed that further studies in the future will enable the application as a tool to more accurately determine sodium intake.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.157-164
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• 2020

In 2020, due to COVID-19, all universities in Korea were conducting non-face-to-face classes. The purpose of this study is to study what factors affect academic achievement under such non-face-to-face instruction, especially for engineering students where practical training is important. Validity of the statistical hypothesis defined in this study by applying a structural equation model using questionnaires about academic achievement for engineering students at University D for this study. In addition, I would like to suggest what factors should be considered in non-face-to-face classes, especially in engineering colleges. As a result of the study, it was found that students' Q&A, feedback and e-learning system had a direct influence on academic achievement. In addition, it was confirmed that they had an indirect influence on academic achievement through the parameters of theory class and practical class.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.2723-2729
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• 2013

Background: To investigate the internal validity of a food-frequency questionnaire (FFQ) developed for use in Chinese women and to compare habitual dietary intakes between population and hospital controls measured by the FFQ. Materials and Methods: A quantitative FFQ and a short food habit questionnaire (SFHQ) were developed and adapted for cancer and nutritional studies. Habitual dietary intakes were assessed in 814 Chinese women aged 18-81 years (407 outpatients and 407 population controls) by face-to-face interview using the FFQ in Shenyang, Northeast China in 2009-2010. The Goldberg formula (ratio of energy intake to basal metabolic rate, EI/BMR) was used to assess the validity of the FFQ. Correlation analyses compared the SFHQ variables with those of the quantitative FFQ. Differences in dietary intakes between hospital and population controls were investigated. Odds ratios (ORs) and 95% confidence intervals (CIs) were obtained using conditional logistic regression analyses. Results: The partial correlation coefficients were moderate to high (0.42 to 0.80; all p<0.05) for preserved food intake, fat consumption and tea drinking variables between the SFHQ and the FFQ. The average EI/BMR was 1.93 with 88.5% of subjects exceeding the Goldberg cut-off value of 1.35. Hospital controls were comparable to population controls in consumption of 17 measured food groups and mean daily intakes of energy and selected nutrients. Conclusions: The FFQ had reasonable validity to measure habitual dietary intakes of Chinese women. Hospital outpatients provide a satisfactory control group for food consumption and intakes of energy and nutrients measured by the FFQ in a Chinese hospital setting.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.4
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• pp.537-548
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• 2016

Purpose: This study aims to develop a Korean version of a tool to measure uncivil behavior in clinical training to examine the experiences of nursing students. Methods: The "Uncivil Behavior in Clinical Nursing Education Scale" was developed by Anthony and Yastik in 2011. This study procedure was based on DeVellis' instrument development guidelines. Data were collected from 220 senior-year nursing students from four different universities in four different locations. Two hundreds surveys were analyzed using SPSS software and AMOS. Results: Out of 20 questions, 13 were selected after reviewing the content validity, face validity, construct validity, and reliability. The factors of the Korean version scale were specified as "exclusion", "contempt", and "refusal." The general characteristics of the subjects that showed significant differences in the occurrence of incivility were gender, age, transfer student status, level of satisfaction with clinical training, and level of satisfaction with the clinical training environment. Conclusion: The "Korean-Uncivil Behavior in Clinical Nursing Education Scale" was partially modified to account for differences in language and culture, but its validity and reliability were verified. We suggest that nurse educators and supervisors will be able to better understand the relationship between nurses and nursing students in clinical training.

• Journal of Sasang Constitutional Medicine
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• v.26 no.3
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• pp.295-303
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• 2014

Objectives It is very important to diagnose Sasang Constitution (SC) correctly. The aim of this study was to reveal the concordance and validity of the specialists in Sasang Constitutional Medicine (SCM). Methods Three experts who had more than 5 years of experience and used more than 90% of Sasang Constitutional prescription in clinical practice of SCM participated in this study. The data composed of body shape, face, voice, temperament and physio-pathological symptoms were collected in the Korea Constitutional Multicenter Bank and 81 subjects' data were extracted randomly. The experts reviewed all 81 subjects data independently. Kappa analysis was conducted. Results 1) The concordance is from 52.5% to 68.4% among three experts. 2) The validity between individual expert and gold standard is from 54.3% to 63% and Kappa's coefficients are from 0.283 to 0.421. 3) The validity is from 68.5% to 70.7% when two or three experts agree the Sasang constitution independently and 75.7% when all of experts agree it. Conclusions The concordance and validity of experts in SCM seems to be moderate. We think further study is needed.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.113-121
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• 2005

Face detection in real-time video constitutes one of the major trend in face recognition. In this paper, we propose a face detection algorithm using the skin color and Haar-like feature in real-time video. The proposed algorithm is followed by three sequences; First, moving objects are detected by difference-method in YCbCr coordinates, and then by using Haar-like features, face candidate regions of the moving objects is selected. Finally we extract the most possible face candidates by comparing the pixel values of face candidates with the skin color. In order to prevent a mistake. we use similar features or skin color to detect a face by selecting a adaptive ROI and improve the processing speed in real-time video. The computer simulation shows the validity of the proposed method that the processing speed is improved by 30% than previous works and the detection success rate is 96.8%.