• 복식
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• 제53권5호
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• pp.1-12
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• 2003

This paper proposes a system for measuring the 3D human bodies using the multiple 2D images. The system establishes the multiple image input circumstance from the digital camera for image measurement. The algorithm considering perspective projection leads us to estimate the 3D human bodies from the multiple 2D images such as frontal. side and rear views. The results of the image measurement is compared those of the direct measurement and the 3D scanner for the total 40 items (12 heights, 15 widths and 13 depths). Three persons measure the 40 items using the three measurement methods. In comparison of the results obtained among the measurement methods and the persons, the results between the image measurement and the 3D scanner are very similar. However, the errors for the direct measurement are relatively larger than those between the image measurement and the 3D scanner. For example, the maximum errors between the image measurement and the 3D scanner are 0.41cm in height, 0.39cm in width and 0.95cm in depth. The errors are acceptable in body measurement. Performance of the image measurement is superior to the direct. because the algorithm estimates the 3D positions using the perspective projection. In above comparison, the image measurement is expected as a new method for measuring the 3D body, since it has the various advantages of the direct measurement and 3D scanner in performance for measurement as well as in the devices, cost, Portability and man power.

• 한국정보시스템학회지:정보시스템연구
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• 제14권1호
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• pp.19-40
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• 2005

The history of computer virus comes along with that of computer. Computer virus han surfaced as a serious problem in information age. The advent of open network and widespread use of Internet made the problem even more urgent. As a method of defense for computer virus most companies use anti-virus software. Selecting appropriate anti-virus software involves various criteria and thus it is a multiple-attribute decision making problem. The purpose of this study is to prioritize anti-virus software evaluation factors. To do that, first of all, important evaluation factors are selected based on previous research on anti-virus software as well as general software evaluation models. Then, a questionnaire survey was conducted on end-users, system administrators and anti-virus software developers. The survey result was analyzed with ExpertChoice 2000 which is based on Analytic hierarchy Process technique. This study found that there are clear differences among three survey groups regarding the relative importance of overall evaluation factors. End-user group ranked "cost" first, but it was the least important factor to developer group. Developers pointed out "operational support" ad the most important factor. There were also obvious differences in the relative importance of detail evaluation items. Both end-users and system administrators shared 7 common items among top 10 most important items. Moreover, neither of the two groups ranked any of the items in the "operational support" factor in top 10, whereas all 4 items in the factor were included in top 10 by developer group.

• 한국수학교육학회지시리즈A:수학교육
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• 제57권1호
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• pp.55-74
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• 2018

The purpose of this study is first to examine the relative influence of each error source and to investigate the optimal measurement conditions to ensure satisfactory multiple reliability coefficients based on the teaching aptitude and personality test for pre-service teachers. Participants were 33 students enrolled in mathematics education in a graduate school of education located in the Seoul metropolitan area from 2013 to 2017. The main results were as follows. First, the estimated variance due to residual was highest, followed by nesting of items within domains, graduate students, interactions of graduate students with domains, and domains. Second, total 96 items, with 12 domains containing 8 items in each domain, with cut score of 598, and original 210 items, with 14 domains containing 15 items in each domain, with cut scores of 615 or 716 were optimal measurement conditions to reach acceptable reliability levels based on the joint consideration of dependability coefficients, cut score dependability coefficients, adjusted dependability coefficients, and standard errors of measurement. Third, larger deviations between the arithmetic mean and the cut score indicated higher reliability coefficients of the test results. Finally, this study suggests ways for practitioners to consider how to apply generalizability theory for criterion-referenced tests and how to develop future research based on limitations.

• 한국정보과학회논문지:데이타베이스
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• 제36권1호
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• pp.30-43
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• 2009

무선 환경에서의 방송은 클라이언트의 수에 상관없이 다수의 클라이언트들에게 데이타를 보낼 수 있기 때문에 많은 관심을 이끌어왔다. 다수의 이전 연구들에서는 한 개의 독립적인 데이타를 최단시간에 획득하는 것을 목표로 했고, 한 질의어 내에 포함된 상호 관련된 데이타들을 동시에 획득하는 것에 대해서는 연구되지 않았다. 또한, 이러한 논문들에서는 질의어 내의 데이타들이 동일시간에 다른 채널 상에서 나타나지 않도록 할당하는 문제에 대해서만 연구되었고 질의어 요청 확률을 기반으로 한 각 데이터의 접근확률은 반영되지 않았다. 본 논문에서는 데이타를 할당하고 동시에 한 질의어 속에 포함된 모든 독립된 데이타들을 획득하는데 요구되는 평균응답시간을 최소화하는 새로운 기법을 제시한다. 성능 분석에서는 우리가 제시한 기법이 현존하는 다른 기법들 보다 좋은 평균응답시간을 보여준다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권5호
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• pp.1413-1432
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• 2023

Recommender systems aim to recommend items to users by taking into account their probable interests. This study focuses on creating a model that utilizes multiple sources of information about users and items by employing a multimodality approach. The study addresses the task of how to gather information from different sources (modalities) and transform them into a uniform format, resulting in a multi-modal feature description for users and items. This work also aims to transform and represent the features extracted from different modalities so that the information is in a compatible format for integration and contains important, useful information for the prediction model. To achieve this goal, we propose a novel multi-modal recommendation model, which involves extracting latent features of users and items from a utility matrix using matrix factorization techniques. Various transformation techniques are utilized to extract features from other sources of information such as user reviews, item descriptions, and item categories. We also proposed the use of Principal Component Analysis (PCA) and Feature Selection techniques to reduce the data dimension and extract important features as well as remove noisy features to increase the accuracy of the model. We conducted several different experimental models based on different subsets of modalities on the MovieLens and Amazon sub-category datasets. According to the experimental results, the proposed model significantly enhances the accuracy of recommendations when compared to SVD, which is acknowledged as one of the most effective models for recommender systems. Specifically, the proposed model reduces the RMSE by a range of 4.8% to 21.43% and increases the Precision by a range of 2.07% to 26.49% for the Amazon datasets. Similarly, for the MovieLens dataset, the proposed model reduces the RMSE by 45.61% and increases the Precision by 14.06%. Additionally, the experimental results on both datasets demonstrate that combining information from multiple modalities in the proposed model leads to superior outcomes compared to relying on a single type of information.

• 대한지역사회영양학회지
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• 제2권3호
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• pp.349-365
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• 1997

Using data obtained from 1, 473 adults aged 18-68 yrs, residing in large cities and by use of a semi-quantitative food frequency questionnaire, we assessed the relative importance of various foods as indicators of both the amount and the variability of selected nutrient intake to develop a simple food frequency questionnaire. Since Cronba- ch's alpha value of the questionnaire including 78 food items was 0.76, the reliability of this questionnaire was acceptable. A large fraction of the variability of nutrient intake in this population could be explained by the small number of food items. The estimation of dietary nutrient intake such as total calories or protein content, which are derived from almost all foods, will require more food items with nutrients such as calcium or vitamin A, which are concentrated in a few food items. A dietary history ascertaining the intake of as few as 5-19 food items mighted be all needed in order to determent the associa- tion between disease outcome and the intake of a single nutrient. There was certainly a high level of agreement with nutrient intake by the sbujects who were cross-classified by quartiles of nutrient indices based on all the food items(78) and by quartiles of nutrient indices based on food items selected by stepwise multiple regression for selected nutrients. The data provided further evidence that useful information on dietary intake over an extended period can be obtained by a simple and relatively inexpensive food frequency questionnaire.

• 한국음향학회지
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• 제30권5호
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• pp.295-302
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• 2011

본 연구의 목적은 말지각평가의 기초 자료가 되고 청각장애 자음지각능력의 정량적 정성적 평가가 가능한 음소단위의 한국어자음지각검사 (Korean Consonant Perception Test, 이하 KCPT)도구를 개발하는 것이다. KCPT는 조합 가능한 모든 한국어 단음절어 중 유의미 단음절어만 분류하여, 7종성발음규칙을 적용하고 목표단어의 친숙도를 조절한 사지선다형 초 종성검사문항 시안을 작성한 후, 각 단어들의 조음 특성, 난이도, 음소 출현빈도수를 고려하여 완성되었다. 이를 정상인 20명을 대상으로 평가하여 난이도가 높은 문항을 제거하고 화자 간 변수가 없는 것을 통계적으로 확인한 후 회화체 빈도수에 맞도록 최종문항을 작성하였다. 세부적 수정을 거쳐 초 종성검사문항 각 200개와 100개로 구성된 총 300개 문항을 개발하였다. 30명의 청각장애인을 대상으로 검증하여 A와 B로 구분한 절반목록간 차이도 없음을 확인하고 초성검사문항은 초성자음지각평가에 종성 검사문항은 종성자음 지각평가에 적절한 도구임을 검증하였다.

• 사상체질의학회지
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• 제35권1호
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• pp.35-45
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• 2023

Objectives We tried to examine the change in the test-retest response for the questionnaire itself regarding the QSCCII. Methods Tests were conducted twice times with an interval of 6 months between tests for test-retest reliability analysis. We examined the test-retest answer agreement rate (%) in all items of QSCCII . We conducted NcNemar analysis to examine test-retest reliability for 77 items selected from the QSCCII. Results The body shape-multiple-choice items showed a tendency of low test-retest agreement rate and most of the questions about when I was not well and when I felt my body condition improve showed an high test-retest agreement rate tendency in all items of QSCCII. As a result of the research on the selected 77 items, there was a significant change in the answer in item No.25, 58(in the item of Soeumin) item No.45, 103(in the item of Taeumin) and item No.87 (in the item of Soeumin) (Table.3, 4, 5, 6). Conclusion The QSCCII is shown as a questionnaire composed of mostly no significant response changes in test-retest in each item through this study. Some items were appropriately deleted in the process of developing the advanced model, but there are also items that should be considered further. It is thought that some items should be used after being refined in content and form.

• 기본간호학회지
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• 제14권4호
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• pp.429-436
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• 2007

Purpose: This study was conducted to identify the knowledge, attitude and self-confidence of student nurses regarding control of nosocomial infections and to provide data for preparation of an efficient policy and education program regarding nosocomial infections. Method: A descriptive survey design was utilized, and, using a questionnaire, which included 15 items for knowledge, 81 items for attitude, 81 items for self-confidence, data were collected from 520 student nurses. Descriptive statistic, t-test, one-way ANOVA and Pearson's correlation coefficients, and Stepwise multiple regression analysis were used with SPSS win 12.0 to analyze the data. Results: The mean score for knowledge was 0.63, for attitude, 4.38 and for self-confidence, 3.50. There was a significant positive correlation between knowledge, attitude and self-confidence in control of nosocomial infections. Attitude, practical attitude, and education were significant factors affecting self-confidence regarding nosocomial infection control. Conclusion: These research findings should be useful in promoting continuous and repeated educational programs on nosocomial infection for student nurses.

• 임상간호연구
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• 제18권3호
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• pp.402-412
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• 2012

Purpose: The purpose of this study was to explore influencing factors of dysfunctional beliefs and emotion regulation strategy for nurses' problem solving ability. Methods: This study was a cross-sectional design with a sample of 745 nurses from 1 university hospital located in Gyeonggido. The scales were Dysfunctional Beliefs Test (70 items), Emotion Regulation Strategy Questionnaire (25 items) and Social Problem Solving Inventory (52 items). The data were analyzed using SPSS 17.0 employing ANOVA, pearson correlation coefficients and multiple regression analysis. Results: The mean score for problem solving ability was 11.26 points. Influencing factors for nurses' problem solving ability were identified as 'active regulation style' in emotion regulation strategy and 'negative concept of social self' in dysfunctional beliefs. Conclusion: It is plausible to assume that dysfunctional beliefs which are vulnerability factors in cognitive variables and emotion regulation strategy affect nurses' problem solving ability.