• Title/Summary/Keyword: 점수화

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Physical Functions in Follow-up Convergency Care by Discharge Locations (퇴원장소에 따른 융합적 돌봄을 위한 신체기능연구)

  • Bok, Soo-Kyung;Song, Youngshin
    • Journal of the Korea Convergence Society
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    • v.13 no.2
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    • pp.313-320
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    • 2022
  • Discharge plans should be considered during rehabilitation depending on the location specified by the patients. This study aims to compare the demographics and rehabilitation function according to discharge location in people with rehabilitation one month after discharge. Among 300 discharged patients, 146 were discharged to their homes, 154 were transferred to facilities such as nursing homes. The results showed that rehabilitation function that scored using the modified Barthel Index were different according to discharge location. That is, the modified Barthel Index scored greater in home discharged patients than counter group. However, the home discharged patient's physical function and daily activities showed scores that required rehabilitation. Differentiated strategies should be needed for home and facility visit rehabilitation programs for rehabilitated patients.

Mobile application-based dietary sugar intake reduction intervention study according to the stages of behavior change in female college students (모바일 어플리케이션 기반 당류 저감화 중재 프로그램의 행동변화단계에 따른 효과 분석 : 일부 여대생 대상 연구)

  • Choi, Yunjung;Kim, Hyun-Sook
    • Journal of Nutrition and Health
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    • v.52 no.5
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    • pp.488-500
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    • 2019
  • Purpose: This study examined the effects of a mobile app-based program to reduce the dietary sugar intake according to the stages of the behavioral change in dietary sugar reduction in female college students. Methods: The program used in this study can monitor the dietary sugar intake after recording the dietary intake and provide education message for the reduction of dietary sugar intake. In an eight-week pre-post intervention study, 68 female college students were instructed to record all the food they consumed daily and received weekly education information. At pre-post intervention, the subjects were asked to answer the questionnaire about sugar-related nutrition knowledge, sugar-intake behavior, and sugar-intake frequency. For statistical analysis, ANOVA and a paired t-test were used for comparative analysis according Precontemplation (PC), Contemplation Preparation (C P), and A M (Action Maintenance) stage. Results: Significant differences were observed in the frequency of snacking, experience of nutrition education, and preference for sweetness according to the stages of behavior change in dietary sugar reduction. After finishing an intervention, the sugar-related nutrition knowledge score was increased significantly in the stages of Precontemplation (PC) and Contemplation Preparation (C P). The score of the sugar intake behavior increased significantly in all stages. The intake frequency of chocolate, muffins or cakes, and drinking yogurt decreased significantly in the PC stage and the intake frequency of biscuits, carbonated beverages, and fruit juice decreased significantly in the C P stage. Subjects in the PC and C P stages had an undesirable propensity in nutrition knowledge, sugar-intake behavior, and sugar-intake frequency compared to the A M stage, but this intervention improved significantly their nutrition knowledge, sugar-intake behavior, and sugar-intake frequency. Conclusion: This program can be an effective educational tool in the stages of PC and C P, and is expected to further increase the usability and sustainability of mobile application if supplemented appropriately to a health platform program.

Factual consistency checker through a question-answer test based on the named entity (개체명 기반 질문-답변 검사를 통한 요약문 사실관계 확인)

  • Jung, Jeesu;Ryu, Hwijung;Chang, Dusung;Chung, Riwoo;Jung, Sangkeun
    • Annual Conference on Human and Language Technology
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    • 2021.10a
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    • pp.112-117
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    • 2021
  • 기계 학습을 활용하여 요약문을 생성했을 경우, 해당 요약문의 정확도를 측정할 수 있는 도구는 필수적이다. 원문에 대한 요약문의 사실관계 일관성의 파악을 위해 개체명 유사도, 기계 독해를 이용한 질문-답변 생성을 활용한 방법이 시도되었으나, 충분한 데이터 확보가 필요하거나 정확도가 부족하였다. 본 논문은 딥러닝 모델을 기반한 개체명 인식기와 질문-답변쌍 정확도 측정기를 활용하여 생성, 필터링한 질문-답변 쌍에 대해 일치도를 점수화하는 방법을 제안하였다. 이러한 기계적 사실관계 확인 점수와 사람의 평가 점수의 분포를 비교하여 방법의 타당성을 입증하였다.

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Represented by the Color Image Emotion Emotional Attributes of Size, Quantification Algorithm (이미지의 색채 감성속성을 이용한 대표감성크기 정량화 알고리즘)

  • Lee, Yean-Ran
    • Cartoon and Animation Studies
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    • s.39
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    • pp.393-412
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    • 2015
  • See and feel the emotion recognition is the image of a person variously changed according to the environment, personal disposition. Thus, the image recognition has been focused on the emotional sensibilities computer you want to control the number studies. However, existing emotional computing model is numbered and the objective is clearly insufficient measurement conditions. Thus, through quantifiable image Emotion Recognition and emotion computing, is a study of the situation requires an objective assessment scheme. In this paper, the sensitivity was represented by numbered sizes quantified according to the image recognition calculation emotion. So apply the principal attributes of the color image emotion recognition as a configuration parameter. In addition, in calculating the color sensitivity by applying a digital computing focused research. Image color emotion computing research approach is the color of emotion attribute, brightness, and saturation reflects the weighted according to importance to the emotional scores. And free-degree by applying the sensitivity point to the image sensitivity formula (X), the tone (Y-axis) is calculated as a number system. There pleasure degree (X-axis), the tension and position the position of the image point that the sensitivity of the emotional coordinate crossing (Y-axis). Image color coordinates by applying the core emotional effect of Russell (Core Affect) is based on the 16 main representatives emotion. Thus, the image recognition sensitivity and compares the number size. Depending on the magnitude of the sensitivity scores demonstrate this sensitivity must change. Compare the way the images are divided up the top five of emotion recognition emotion emotions associated with 16 representatives, and representatives analyzed the concentrated emotion sizes. Future studies are needed emotional computing method of calculation to be more similar sensibility and human emotion recognition.

A Study on Gene Search Using Test for Interval Data (구간형 데이터 검정법을 이용한 유전자 탐색에 관한 연구)

  • Lee, Seong-Keon
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.2805-2812
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    • 2018
  • The methylation score, expressed as a percentage of the methylation status data derived from the iterative sequencing process, has a value between 0 and 1. It is contrary to the assumption of normal distribution that simply applying the t-test to examine the difference in population-specific methylation scores in these data. In addition, since the result may vary depending on the number of repetitions of sequencing in the process of methylation score generation, a method that can analyze such errors is also necessary. In this paper, we introduce the symbolic data analysis and the interval K-S test method which convert observation data into interval data including uncertainty rather than one numerical data. In addition, it is possible to analyze the characteristics of methylation score by using Beta distribution without using normal distribution in the process of converting into interval data. For the data analysis, the nature of the proposed method was examined using sequencing data of actual patients and normal persons. While the t-test is only possible for the location test, it is found that the interval type K-S statistic can be used to test not only the location parameter but also the heterogeneity of the distribution function.

An Analysis of the proliferation Case of TOPCIT(Test of Practical Competency in ICT) and policy implications (ICT 실무능력 평가 모델(TOPCIT)의 확산사례 분석 및 정책적 시사점)

  • Lee, Hyun Seek;Seo, Young Wook
    • Journal of Digital Convergence
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    • v.16 no.5
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    • pp.1-12
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    • 2018
  • In this study, we introduce the background and model for the Test of Practical Competency in ICT(TOPCIT), which is designed to diagnose and assess the competency of ICT industry related workers and software(SW) developers, and also attempt to derive meaningful policy implications for developing a global level of ICT SW competency evaluation system across the different cases in domestic and foreign countries with regard to the application and dissemination of the TOPCIT. First, we analyze the test results from surveys conducted a preliminary test (or a pilot test) for the process of global dissemination of the TOPCIT in 2015. Then, we attempt to compare the results with the domestic test results. The findings show that the average score between domestic and foreign test takers was similar, but in the highest score group, the number of domestic test takers was relatively higher than the number of foreign test takers. Moreover, the average score can be varied by the language ability, especially fluent in English, of test takers. Therefore, the findings suggest that the localization is one of the key components for building upon the global TOPCIT system.

Blog Search Method using User Relevance Feedback and Guru Estimation (사용자 적합성 피드백과 구루 평가 점수를 고려한 블로그 검색 방법)

  • Jeong, Kyung-Seok;Park, Hyuk-Ro
    • The KIPS Transactions:PartB
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    • v.15B no.5
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    • pp.487-492
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    • 2008
  • Most Web search engines use ranking methods that take both the relevancy and the importance of documents into consideration. The importance of a document denotes the degree of usefulness of the document to general users. One of the most successful methods for estimating the importance of a document has been Page-Rank algorithm which uses the hyperlink structure of the Web for the estimation. In this paper, we propose a new importance estimation algorithm for the blog environment. The proposed method, first, calculates the importance of each document using user's bookmark and click count. Then, the Guru point of a blogger is computed as the sum of all importance points of documents which he/she wrote. Finally, the guru points are reflected in document ranking again. Our experiments show that the proposed method has higher correlation coefficient than the traditional methods with respect to correct answers.

A Computerized Scoring Method of The Hahn Double 15 Hue Test (한식(韓式) 2중(重) 15색상(色相) 검사(檢査)의 컴퓨터를 이용(利用)한 점수화(點數化) 방법(方法))

  • Park, Wan-Seoup;Lee, Jong-Young
    • Journal of Preventive Medicine and Public Health
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    • v.29 no.3 s.54
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    • pp.521-527
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    • 1996
  • The Hahn double 15 hue test is used for social and vacational aptitude test to separate strongly and mildly affected subjects among the colour vision defective persons, detected using colour vision test. However, the assessment of colour vision defect type and severity is based on the hue confusions which are represented diagrammatically on Hahn double 15 hue score sheet, this qualitative assessment of the test results have not provide a numerical score suitable for methematical analysis. This paper presented a new proposal for quantitatively scoring the Hahn double 15 hue test based on those hue confusions made by the subject. With this program large numbers of double 15 hue test results can be processed easily and rapidly, and program helps to compare the severity of specific type colour vision defect and monitor acquired colour vision defect which has various disease process, continuously.

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The Ewha Infant Develomental Screening Test (이화 영아 발달 선별 검사(Ewha Infant Development Screening Test)에 대한 연구)

  • Lee, Keun
    • Clinical and Experimental Pediatrics
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    • v.45 no.6
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    • pp.700-711
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    • 2002
  • Purpose : Early identification and treatment of developmental disabilities is of considerable importance in the health care of children. Screening of development is aimed at identifying infants who may need more comprehensive evaluations. Methods : A new test, the Ewha Infant Development Screening Test(EDST) has been created to screen the development of infants, 0-4 years of age. EDST was constructed so that results can be calculated into developmental ages and developmental quotients. The test consists of three sectors, e.g. language, social-adaptive and motor, and of 158 test items. A total of 104 infants, aged from one month to four years, including healthy infants as well as 10 with chief complaints of developmental delay, who visited the pediatric clinic of Ewha Womans University Dongdaemun Hospital, from June, 25 to November 30, 2001, were given the Bayley Scale of Infant Development as a base test and EDST. Results : The result showed the appropriate cut-off of EDST was 90 with better sensitivity and specificity, compared to cut-offs of 85 or 80. Conclusion : Further study with a large number of infants in the future is needed to make EDST more reliable and accurate.

Detecting Intentionally Biased Web Pages In terms of Hypertext Information (하이퍼텍스트 정보 관점에서 의도적으로 왜곡된 웹 페이지의 검출에 관한 연구)

  • Lee Woo Key
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.1 s.33
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    • pp.59-66
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    • 2005
  • The organization of the web is progressively more being used to improve search and analysis of information on the web as a large collection of heterogeneous documents. Most people begin at a Web search engine to find information. but the user's pertinent search results are often greatly diluted by irrelevant data or sometimes appear on target but still mislead the user in an unwanted direction. One of the intentional, sometimes vicious manipulations of Web databases is a intentionally biased web page like Google bombing that is based on the PageRank algorithm. one of many Web structuring techniques. In this thesis, we regard the World Wide Web as a directed labeled graph that Web pages represent nodes and link edges. In the Present work, we define the label of an edge as having a link context and a similarity measure between link context and target page. With this similarity, we can modify the transition matrix of the PageRank algorithm. By suggesting a motivating example, it is explained how our proposed algorithm can filter the Web intentionally biased web Pages effective about $60\%% rather than the conventional PageRank.

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