• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.562-564
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• 2002

본 논문에서는 자기상관함수의 국소적 특징을 사용하여 에지 특징을 추출한 후, 이를 이용해 유사이미지를 검색하는 방법을 제시한다. 자기상관함수의 국소적 특징을 이용하여 이미지를 검색할 경우 크기, 밝기, 색상등과 같은 이미지 요소가 서로 다를 경우에도 영향을 받지 않고 에지 특징정보를 추출해 낼 수 있다. 이는 얻어진 에지 특징을 이미지 크기와 고차 국소 자기상관함수의 변위에 의해 변하지 않도록 정규화를 하고, 동일 이미지에 대해 밝기가 조금 달라지면 검색효율이 떨어지는 점을 해결하기 위해 거리척도로서 방향여현거리(direction cosine distance)를 이용함으로써 가능하다. 이렇게 추출된 특징벡터를 자기조직화 맵에 의하여 클러스터링하고, 유사이미지 검색의 효율성을 비교해본 결과, 본 논문에서 제시한 방법을 사용하여 검색한 경우 재현율이 기존의 방법에 비해서 비교적 높은 수치를 나타냈다.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.6 no.1
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• pp.90-99
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• 1995

This study was intended to investigate the effects of shyness, which is regarded as one of the former and comprehensive factors of social anxiety disorder, on interpersonal relationship. Particularly, the relations among Social Skill Factor, Motivation Factor, and Shyness were examined in order to verify a conventional belief('the most shy people have both low social skill and high motivation.') 497 middle school students(231 males and 266 females) in seoul were administrated with Snyder's Self-Monitoring Scale and Shyness Scale, and Peer-Group Popularity was measure. The results are : 1) the lower social skill is and hight Motivations is the more he or she is shy. 2) influence of Social Skill Factor is greater than that of Motivation Factor. 3) interaction effect among sex, shyness, and peer-group popularity was found.

• Journal of Korean Academy of Nursing
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• v.28 no.3
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• pp.751-759
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• 1998

The study of the validity test on the self-monitoring scale for nurses In this study, both the literary survey as well as empirical research has been executed to test the validity of the scales that measure the construct of the self-monitoring scale. The self-monitoring scale could not be classified into five factors as Snyder suggested. Many other scholars (Briggs, Cheek and Buss, 1980) suggested 3 different classifications which was accepted by Snyder and Gangestad (1986). John, Cheek and Klohnen(1996) claimed a two-factor classification. As has been discussed, factor analysis is used to prove convergent validity within the factor and discriminant validity between the factors. However, depending on the researchers, many variations in classification of the factors were found and a lack of content and discriminant validity were found in the previous research findings. It is also important to note that Snyder's self-monitoring scale did not factor-load at over. 30 for all 25 items, regardless of how many factors could be classified. According to findings of this study, the self-monitoring scale neither classified as five, three or two factors nor factor loaded as hypothesized. It is also clear that Snyder's self-monitoring scale lacks convergent validity as the sub-factors of the scale failed to prove its uni-dimensionality. The A self-monit oring scale not only fail to overcome the problems of Snyder's self-monitori ng scale but even lost the attractiveness of the self-monitoring scale. In this study it was also found that the A self-monitoring scale was not classified in either in a two or three-factor classification as hypothesized. It is, of course, not desirable to use any scale that lacks convergent and discriminant validity even though it has been widely used and has held a great deal of influence on the field of social psychology. To overcome the shortcomings of Snyder's self-monitoring scale, Lennox and Wolfe(1984) suggested 13 items. This study was dedicated to test the validity and reliability of the scale, in which we found that the data presented in validity as the two factors were class ified and loaded as expected. Reliability was also proven by checking Cronbach's α for each factor and for the total items. In addition, a confirmatory factor analysis was executed for the 13 items using LISREL 8.12 program to confirm convergent validity in a two-factor classification. The model was fitting and sound : however, the self-monitoring scale was unfitted and not validated. Thus, it is recommended to use not the original nor the abbreviated self-monitoring scale but the 13 items in future studies. It should also be noted that items 7 and 13 should be removed to obtain better uni-dimensionality for the 13 items. These items loaded at over. 30, too high for the two factors in the test results of Factor analysis. In addition, it is necessary to double-check the cause of two-hold loading at over .30 for the two factors. It could be a problem caused by data or by the scale itself. Therefore, additional studies should follow to better clarify this matter.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.13-23
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• 2018

Objective : This study was conducted to investigate the leisure activities and self-efficacy according to sensory processing feature of university students. Methods : The survey was conducted from March to June, 2018. A total of 235 university students in Jeolla and Gyeongsang area participated. We used Adolescent/Adult Sensory Profiles to investigate sensory processing feature, Leisure Activity Questionnaires to examine leisure activities, and Self-Efficacy Scale for self-efficacy. This study identified the frequency of leisure activities of university students, the frequency of leisure activities and self-efficiency according to the sensory processing feature, and the leisure activities according to the feature of sensory seeking. Results : For the frequency of leisure activities and self-efficacy according to sensory processing feature of university students, only sensory seeking showed significantly difference in the leisure activity frequency, and the self-efficacy was significantly difference according to the feature of all types of sensory processing (p<.05). In addition, this study identified that leisure activities according to the feature of sensory seeking showed a significantly difference in gym, watching TV, shopping, internet search and web surfing (p<.05, p<.01). Conclusion : According to sensory seeking feature of university students, leisure activities and self-efficacy showed a significant difference. In order to encourage leisure activities of university students and to improve their self-efficacy, an interventional approach based on an understanding of sensory processing characteristics will be needed.

• Journal of Biomedical Engineering Research
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• v.25 no.1
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• pp.77-82
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• 2004

The purpose of this study is to establish a reference for image acquisition for completion of a standard brain for diverse Korean population, and to develop a management system that saves and manage database of the acquired brain image and personal information of those who were tested. 3D MP-RAGE technique, which has excellent SNR and CNR and reduces the times for image acquisition, was selected for anatomical Image acquisition, and parameter values were obtained for the optimal image acquisition. The database management system was devised to obtain not only anatomical image data but also subjects' basic demographic factors, medical history, handedness inventory state-trait anxiety inventory, A-type personality inventory, self-assessment depression inventory questionnaires of Sasang Constitution Mini-Mental State Examination, intelligence test, and personality test via a survey questionnaire and to save and manage the results of the tests. In addition, this system was designed to have functions of saving, inserting, deleting, searching, and Printing of image da a and personal information of subjects, and to have accessibility to them as well as automatic connection setup with ODBC. This newly developed system may have major contribution to the completion of a standard brain of diverse Korean population in that it can save and manage their image date and personal information.

• (The) Korean Journal of Educational Psychology
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• v.31 no.1
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• pp.35-58
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• 2017

The achievement emotion experienced by students in their academic settings is directly related with achievement activities or results. As the focuses of researches in the educational psychology have been extended to students' motives and emotion, the achievement emotion is also actively studied in Korea. The purpose of this study is to analyze researches on the achievement emotion according to social/cultural backgrounds by dividing them into domestic and foreign ones and understand flow and trend of the researches by structuring them. On the basis of the findings, it also aims to provide fundamental data necessary to examine the achievement emotion matched for academic settings in Korea. The objects of this study include a total of 105 domestic (n=47) and foreign (n=58) journal articles. The criteria of analysis are divided into period, contents and method of the study: the study was conducted without control of period; the contents include variables and achievement situations; and the method includes design and type of study, analysis methods, measurement tools and objects. The descriptive statistics of the materials were estimated by using the SPSS, and were analyzed by dividing them into domestic and foreign ones. The findings show that the researches on achievement emotion can be divided into examinations of the development of achievement emotion scale and those of the relationship between related variables. Thus, the conclusion suggests comprehensive discussions by arranging the trends of researches on the development of achievement emotion scale and the relationship between related variables.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Therapeutic Science for Rehabilitation
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• v.12 no.2
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• pp.43-53
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• 2023

Objective : In this study, the rehabilitation motivation evaluation tool for stroke patients was identified, and the characteristics of the evaluation tool were analyzed to analyze the conceptual framework and characteristics used in the composition of the evaluation contents. Methods : From 2000 to May 2022, documents registered in major domestic and foreign databases (PubMed, NDSL, Medline, and EMbase) were searched and selected according to the selection and exclusion criteria. The evaluation tools used in the selected documents were analyzed, and the characteristics of this evaluation tool were analyzed. Results : A total of 30 documents were selected, and they were classified into a total of five rehabilitation motivation evaluation tools. The most widely used in Korea was the measurement tool for rehabilitation motivation for the disabled, and the most widely used overseas was the intrinsic motivation inventory. Three evaluation tools constructed the evaluation contents based on the self-determination theory, and two constructed the evaluation contents through expert agreement. The number of evaluation items and 8 to 45 items were varied, and the evaluation scale was also used in various ways from 4 to 7 point scale. Conclusion : It was possible to identify the evaluation tools mainly used for the evaluation of rehabilitation motivation, and to identify the main conceptual framework based on the development of the rehabilitation motivation evaluation tool. The results of this study are expected to be used as basic data for research on the development of rehabilitation motivation evaluation tools for stroke patients in the future.

• Journal of the Korean Society for information Management
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• v.33 no.1
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• pp.247-268
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• 2016

Although it has been a long subject of study why researchers prefer some cited documents to others, the existing relative researches have had a variety of perspectives on the nature and complexity of the citation behavior and not provided a complete answer to this question. In particular, Korea researchers mainly used statistical analysis of bibliographic information, which has limitations in revealing dynamic and complex cognitive aspects of the citation process. In this study, I investigate the citer perception of citing motives and bibliographic factors through survey and compared the responses according to the researchers' characteristics. After extracting the 22 motivations and 21 factors through the literature analysis and configuring a 5-point Likert scale questions, I conducted a survey in the wat of an e-mail attachment. From the SPSS 22.0, the frequency analysis, t-test, and one-way ANOVA were performed on the 354 valid samples. As a result, it is found that supporting is considered the most important citing motive and social connection, self-citation have little influence. In the case of bibliographic factors, the journal's reputation was recognized the most influential factor and the number of pages and authors was the least. Significant differences in fields of study and research careers were showed in some parts. These results can substantiate earlier studies, determine whether the factors assumed influential in selecting references were intended, and suggest the search point to the specialty library or academic database.