• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.163-173
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• 2022

This study attempted to categorize the lower body torso type and investigated its characteristics for women in their 40s, 50s, and 60s, who increase the frequency of incontinence. This study analyzed the 8th human dimension survey data of Korean Agency for Technology and Standards. The data were analyzed by SPSS 26.0 program. It was analyzed that the height item of the lower body torso decreased, the width item widen as the age increases, and the waist and abdomen circumference of the circumference item increased and the hip circumference decreased. Body length decreased with age. The components of the lower torso were classified into the lower torso horizontal factor, height factor, lower factor, and vertical factor. The lower body torso type was classified into a long inverted triangular body type, a short and high body type, a body fat body type, and a low triangular body type. It was analyzed that type 3 was the largest in the horizontal factor and height factor, and type 1 was the largest in the vertical factor and the lower part factor. A new drafting method was required in setting the horizontal part of the incontinence panty, the front and the back length.

• Korean Journal of Legislative Studies
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• v.25 no.2
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• pp.35-67
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• 2019

This study aims to analyze and evaluate the outcomes of the far-right parties in the 2019 European Parliament (hereinafter EP) elections. To this end, this study refrains from the conventional method of analyzing the number of seats of the political group(s) classified as far-right in the EP. Instead, the study takes a method based on the party family classification by summing up the number of the EP members who have been elected to the far-right party within individual member states. There are two reasons for the analysis of EP election results based on this far-right party family. Firstly, some of the far-right members of the EP do not join the political group(s) classified as far-right, and secondly, some of the political group(s) classified as far-right tends to be inhomogeneous. In this vein, this study attempts to analyze the outcomes of the far-right party in the 2019 EP elections based on the classification of the far-right party family. As a result, this study shows that the assessment of the European major press based on the number of seats of the political group(s) classified as far-right in the EP was inconsistent with the actual political landscape. According to the analysis of election results based on the classification of the far-right party family, the number of seats secured by the far-right parties in the 2019 EP elections corresponded to or significantly exceeded the results of previous polls. In addition, this is a significant increase in the seats of the far-right parties compared to the 2014 EP elections, and it is reasonable to affirm that the far-right parties have made great strides in the 2019 EP elections.

• Information Systems Review
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• v.22 no.4
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• pp.75-92
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• 2020

As population and generation structures change, more and more customers tend to avoid facing relation due to the development of information technology and spread of smart phones. This phenomenon consists with efficiency and immediacy, which are the consumption patterns of modern customers who are used to information technology, so offline network-oriented distribution companies actively try to switch their sales and services to untact patterns. Recently, untact services are boosted in various fields, but beauty products are not easy to be recommended through untact services due to many options depending on skin types and conditions. There have been many studies on recommendations and development of recommendation systems in the online beauty field, but most of them are the ones that develop recommendation algorithm using survey or social data. In other words, there were not enough studies that classify segments based on user information such as skin types and product preference. Therefore, this study classifies customer segments using machine learning technique K-prototypesalgorithm based on customer information and search log data of mobile application, which is one of untact services in the beauty field, based on which, untact marketing strategy is suggested. This study expands the scope of the previous literature by classifying customer segments using the machine learning technique. This study is practically meaningful in that it classifies customer segments by reflecting new consumption trend of untact service, and based on this, it suggests a specific plan that can be used in untact services of the beauty field.

• Journal of the Korean Society of Radiology
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• v.18 no.4
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• pp.317-325
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• 2024

This study aimed to classify normal and nodule images in thyroid ultrasound images using GLCM and machine learning. The research was conducted on 600 patients who visited S Hospital in Busan and were diagnosed with thyroid nodules using thyroid ultrasound. In the thyroid ultrasound images, the ROI was set to a size of 50x50 pixels, and 21 parameters and 4 angles were used with GLCM to analyze the normal thyroid patterns and thyroid nodule patterns. The analyzed data was used to distinguish between normal and nodule diagnostic results using the SVM model and KNN model in MATLAB. As a result, the accuracy of the thyroid nodule classification rate was 94% for SVM model and 91% for the KNN model. Both models showed an accuracy of over 90%, indicating that the classification rate is excellent when using machine learning for the classification of normal thyroid and thyroid nodules. In the ROC curve, the ROC curve for the SVM model was generally higher compared to the KNN model, indicating that the SVM model has higher within-sample performance than the KNN model. Based on these results, the SVM model showed high accuracy in diagnosing thyroid nodules. This result can be used as basic data for future research as an auxiliary tool for medical diagnosis and is expected to contribute to the qualitative improvement of medical services through machine learning technology.

• Korean Journal of Childcare and Education
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• v.11 no.4
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• pp.211-237
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• 2015

The purpose of this study was to explore early childhood pre-service teachers' belief in homosexuality. This study applied the Q-method to investigate teachers'subjective awareness of homosexuality. Using an open questionnaire, we asked participants to describe how they think about homosexuality. Forty-five pre-service teachers were Q-sampled. Using the QUANL program, 45 statements were classified into 9 levels. Results revealed that image types of early childhood pre-service teachers can be classified into four distinguished categories: 1) type of respect: to regard gays and lesbians as normal people who love the same sex, 2) type of acknowledgment: to regard them as very unique people who attract people's attention, 3) type of relation-denying: to regard them as someone who were born totally differently, and 4) type of extremely denying-to regard them not being respected and disgusting. Most of the teachers seemed to have a tendency to acknowledge and respect individuals'sexual orientation. However, some pre-service teachers still have a negative attitude toward homosexuality. The significance of this study is to reveal the silenced issue, that is, sexual orientation in the field of early childhood multicultural education. Teachers can have a strong effect on young children's belief about sexual identity and sexual orientation. It would be important to look back on educators'perspective on homosexuality before suggesting the direction of multicultural education of young children related to the issue of sexual orientation.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.46-52
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• 2017

Social attention to information security field is inspired, and manpower demand forecast of this area is getting high. This study surveyed information security knowledge of practitioners who work in a field of information security such as computer and network system. We analyzed a connection between survey data, information protection job system that was suggested by NICE, IT skills that NCS and KISA classified and security field classification system. Base on data that analyzed, this study suggests a curriculum that trains professional manpower who perform duties in the field of information security. Suggested curriculum can be applied to 2 year college, 3 year college and 4 year college. Suggested curriculum provides courses that students who want to work in a field of information security must learn during the college. Suggested courses are closely connected to a related field and detailed guideline is indicated to each course to educate. Suggested curriculum is required, and it combines a theoretical education that become basis and a practical education so that it is not weighted to learn theory and is not only focusing on learning simple commands. This curriculum is established to educate students countermeasures of hacking and security defend that based on scenario that connected to executive ability. This curriculum helps to achieve certificates related to a field more than paper qualification. Also, we expect this curriculum helps to train convergent information security manpower for next generation.

• Korean Journal of Clinical Laboratory Science
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• v.49 no.3
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• pp.248-255
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• 2017

Increased hepatic enzymes are associated with insulin resistance, metabolic complications, and type 2 diabetes mellitus. Metabolically healthy obese (MHO) phenotype is not accompanied by metabolic complications and maintains insulin sensitivity, despite excessive body fat. The purpose of this study was to evaluate the clinical implications of hepatic enzymes in MHO men. The diagnostic criteria for MHO were based on NCEP-ATP III and obesity in adults was defined using WHO Asian-Pacific criteria. We used the data from 9,683 obese men aged between 20 and 70 years. The subjects were divided into three groups according to the diagnostic criteria: The metabolically healthy non-obese (MHNO, N=2,878), metabolically healthy obese (MHO, N=5,427), and metabolically abnormal obese (MAO, N=1,378). Obesity criteria were classified according to the standards set forth by WHO Asia-Pacific Criteria. AST, ALT, and GGT were significantly lower in the MHO group than in the MAO group (p<0.001, respectively). However, the hepatic enzyme levels were higher in the MHO group than in the MHNO group (p<0.001). Liver enzymes were associated with metabolic syndrome risk factors. Waist circumference, fasting glucose, total cholesterol, triglyceride, and HDL-C were risk factors for metabolic syndrome affecting liver enzymes. In conclusion, hepatic enzymes were found to predict metabolic abnormalities in metabolically healthy obese men.

• Korean Journal of Biological Psychiatry
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• v.14 no.4
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• pp.249-255
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• 2007

Objectives : The aim of this prospective study is to investigate predictors estimating relapse in Korean alcohol-dependent patients using variables like alcohol history, drinking craving, treatment motivation and insight. Methods : Alcohol dependent patients(N=48) who completed questionnaires about sociodemographic variables and drinking history, Timeline Follow-Back(TLFB), Obsessive-Compulsive Drinking Scale(OCSD), Alcohol Urge Questionnaire(AUQ), Pennsylvania Alcohol Craving Scale(PACS), University of Rhode Island Change Assessment(URICA), Hanil Alcohol Insight Scale(HAIS) were followed-up for 24weeks. Subjects who drank heavily(5 standard drinking or more/day) or were not followed up anymore were classified as the relapse group. We used logistic regression analysis with backward elimination of SPSS PC+11.5 to investigate relapse estimate predictors. Results : Average drinking amount per drinking day for last 1 year and HAIS score were predictors of relapse in alcohol-dependent patients. Conclusions : Our findings suggest that therapist should give more attention to alcohol-dependent patients who had more drinks per drinking day for last 1 year and had lower insight level.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.22 no.1
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• pp.16-24
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• 2015

Purpose: This study was done to identify essential nursing diagnoses using NANDA and their related factors and defining characteristics of patients who were cared in an emergency room. Methods: The research checklist developed by the researcher consisted of 44 nursing diagnoses with defining characteristics and related factors and was applied to 235 patients who were admitted to an emergency room from November 1 to December 31, 2012. Results: Forty-one of forty-four nursing diagnoses were identified. The most frequent nursing diagnoses were acute pain, risk for falls, and activity intolerance. The most frequent defining characteristic for the nursing diagnosis of 'acute pain' was verbal report of pain. The agreement rate with NANDA (2009)'s defining characteristics was 66.7%. Conclusion: Results indicate that identification of essential nursing diagnoses and their defining characteristics and related/risk factors is important for emergency patient nursing care to facilitate use of NANDA taxonomy in the emergency nursing practice and documentation systems.

• Journal of Korean Elementary Science Education
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• v.26 no.4
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• pp.395-406
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• 2007

The purpose of this study was to investigate the characteristics of 2nd grade students' interaction in the classification activities of LTTS. For the purposes of this study, three heterogeneous groups, chosen by cognitive level, were selected. The students' interactions were audio/video taped and classified as either cognitive or affective interaction. The results of this study are as follows. In the cognitive interactions, the frequency and quality of the functions of 'questions' and 'making suggestions' were higher than those of 'Responses' and 'Receiving opinions'. In the affective interactions, the frequency of 'induction' and 'dissatisfaction' was higher than that of the other types. The frequency and quality of interactions of students in both the early and mid concrete stage were higher than those of students in the transitional stage. Qualitatively higher-level interactions such as 'making suggestions' and positive interactions such as 'induction' to induce students who were passive in activities were made by the students at higher cognitive levels. However, the low-level of interaction in suggesting their opinion to the constituent's suggestion and 'dissatisfaction' with student in transition period who were passive in activity influenced group working negatively.