• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.5
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• pp.892-898
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• 2012

Rough classification methods are used to improving the recognition speed in many character recognition problems. In this case, some irreversible result can occur by an error in rough classification. Methods for duplicating each model in several classes are used in order to reduce this risk. But the errors by rough classfication can not be completely ruled out by these methods. In this paper, an recognition method is proposed to increase speed that matches models selectively without any increase in error. This method constructs a model graph using similarity between models. Then a search process begins from a particular point in the model graph. In this process, matching of unnecessary models are reduced that are not similar to the input pattern. In this paper, the proposed method is applied to the recognition problem of handwriting numbers and upper/lower cases of English alphabets. In the experiments, the proposed method was compared with the basic method that matches all models with input pattern. As a result, the same recognition rate, which has shown as the basic method, was obtained by controlling the out-degree of the model graph and the number of maintaining candidates during the search process thereby being increased the recognition speed to 2.45 times.

• The Journal of Korean Physical Therapy
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• v.33 no.2
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• pp.69-75
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• 2021

Purpose: This study examined the recognition of rehabilitative robots for treatment in physical therapists. Methods: This study surveyed 100 physical therapists in Seoul and Gyeonggi-do using Google Form, an online survey tool. The questionnaire consisted of 21 questions, including eight questions on the general characteristics, 13 questions on the recognition of rehabilitative robots. Results: The general characteristics of the physical therapists showed differences and influences on recognition of rehabilitative robots, and there were statistically significant differences. There were significant differences in the recognition of rehabilitation robots according to general characteristics in gender, age, education degree, type of hospital, average weekly working time, and treatment field. Multiple regression analysis found that gender and the type of hospital influenced the recognition of rehabilitation robots. Conclusion: Physical therapists showed differences in recognition of rehabilitative robots according to their general characteristics, and gender and the type of hospital influence the recognition of rehabilitation robots. Sufficient systematic education programs should be provided, and physical therapists require policy adjustments to increase their accessibility to rehabilitation robots through continuing education.

• Journal of the Korean Society of School Health
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• v.23 no.2
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• pp.295-307
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• 2010

Purpose: This study was conducted to find ways to improve foodservice quality and satisfaction of middle school students in school lunch service. Recognition of concerns about school lunch and quality attributes was evaluated by gender. And we tried to investigate quality attributes which could affect degree of foodservice satisfaction by gender. Methods: Two hundred students from each of 6 middle schools (3 schools in urban and 3 schools in rural) in Gyeonggi Province were surveyed using self-developed questionnaires. Total of 1,103 questionnaires (male 556 and female 547) were collected and data were analyzed using descriptive analysis, t-test, cross table and stepwise multiple regression by SPSS 11.0. Results: There were not significant differences in average importance scores (male 4.09, female 4.06) and average performance scores (male 3.36, female 3.30) of quality attributes between middle school boys and girls. But there were significant differences in 7 and 6 of 25 quality attributes in evaluating importance and performance respectively by gender. There was not a significant difference (male 3.13, female 3.24) in degree of foodservice satisfaction by gender. But there were significant differences in the distribution of satisfaction. Stepwise multiple regression analysis showed that degree of satisfaction was influenced by a taste of food, quick complaint handling, providing favorite foods, and food hygiene in male students (F=$51.1^{***}$, adjusted $R^2$=.265). Degree of satisfaction was influenced by a taste of food, providing favorite food, proper meal prices, providing a wide variety of food in female students (F=$91.4^{***}$, adjusted $R^2$=.399). Conclusion: We found out that there were significant differences in quality attributes when evaluating importance and performance and in quality attributes which could affect foodservice satisfaction by gender.

• Journal of Korean Home Economics Education Association
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• v.4 no.1
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• pp.17-30
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• 1992

This study aims at finding a new home economics education with will include male students as its teaching objects, and then providing home economics teachers with useful materials. For this purpose I examined the curriculum of foreign home economics education and analized male and female secondary school students’and their recognition and demand to the home economics education. Investigated persons are male and female students of the first year of 3 sendary schools and their parents in Seoul, who are choosen by menas of random sampling. The items analysis of questionnaires was performed by means of random sampling. The items analysis of questionnaires was performed by means of SPSS. The results are marked with percentage and the significance level is verified by t and X(sup)2 analysis methods. The results obtained from the items analysis are as follows：1 According to the increasing number of female employees, the mechanization of household affaires, and so on, male students and male parents got to realize the necessity of home economics education and the importance of men and women’s cooperation to lead a family life. 2. It is shown that the goal of home economics deucation must be to form a right value point of the family life and family. This fact implies that many examinees regards the home economics education in the moral point of view. 3. In the necessity degree according to each field of the home economics education curriculum, moral and social aspects such as family relationship, home management & economics, human development and bringing up are regarded more important than household affairs and the related technical aspects. 4. In the difference between groups to the necessity degree according to each field of the home economics education curriculum, there are few differences between male and female parents, but there are many differences between male and female students. Male students regards the contents of the home economics education curriculum less necessary than female students. Especially in the field of clothing, residence, human development and bringing up, the difference between male and female students is obvious. 5. The necessity degree of the contents related to environmental pollution, saving of energy and resources, utilizing of computer, etc. is very high.

• Journal of the Korean Institute of Landscape Architecture
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• v.32 no.2
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• pp.1-10
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• 2004

Urban parks provide good services to the community, and they are enhanced by citizen participation. For that especially, organizational and continued volunteering can be a key strategy. The purpose of this study is to establish factors on promoting the continuity of volunteering in voulatary associations of urban parks. Variables of continuity are continual will, continual time, and psychological continuance motive. To add to this, this study is intended to inquiry about recognition and compensation that volunteers want to receive. The major findings are as follows: First, The main participantes were housewives with high education. Second, Continual will was influenced by gender, profession, the satisfactory degree for individual pursuit an ideal, and the degree of confidence with members. Third, Continual time was influenced by profession and individual network in community. Forth, Continual motive was influenced by individual network in community, the result-analysis behavior of related government organ, the degree of confidence and the degree of ties with members. Finally, Volunteers wanted to receive the volunteering expenses, the compensation about accident, and emotional recognitions. In sum : to ensure the continuity of volunteering, first, recruiting of volunteers is demanded to select a major target group in the community. Second, a voulatary association helps to make confidence and ties with members. Third, the related government organ strives for volunteers to have a positive recognition of the organ's attitudes, for the volunteer association to have a clearly distinguished area of action from the organ's one, and a co-operative system. Finally, an institution needs to be established to give emotional recognitions as well as volunteering expenses and acompensation for accidents.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.8
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• pp.96-105
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• 1998

The aim of this paper is to propose the method of WDHMM(Weighted DHMM), using the MLP-VQ for the improvement of speaker-independent connect-digit recognition system. MLP neural-network output distribution shows a probability distribution that presents the degree of similarity between each pattern by the non-linear mapping among the input patterns and learning patterns. MLP-VQ is proposed in this paper. It generates codewords by using the output node index which can reach the highest level within MLP neural-network output distribution. Different from the old VQ, the true characteristics of this new MLP-VQ lie in that the degree of similarity between present input patterns and each learned class pattern could be reflected for the recognition model. WDHMM is also proposed. It can use the MLP neural-network output distribution as the way of weighing the symbol generation probability of DHMMs. This newly-suggested method could shorten the time of HMM parameter estimation and recognition. The reason is that it is not necessary to regard symbol generation probability as multi-dimensional normal distribution, as opposed to the old SCHMM. This could also improve the recognition ability by 14.7% higher than DHMM, owing to the increase of small caculation amount. Because it can reflect phone class relations to the recognition model. The result of my research shows that speaker-independent connected-digit recognition, using MLP-VQ and WDHMM, is 84.22%.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.3
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• pp.303-319
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• 2021

This study sought to find out the status of medical libraries in Korea that provide information services related to the Covid-19 situation, and how the librarian's perception of the Covid-19 situation, the main body of the library's information provision, affects the provision of related information services. For this purpose, we checked the website for Covid-19 information service. In order to understand the degree of awareness of Covid-19, Grunig's Situational Theory was applied to classify four types of librarians according to the degree of problem recognition, constraint recognition, and involvement recognition, and to analyze how the three perceptions affect Covid-19 related information services. As a result, only 25 out of 144 korean medical libraries provided information services related to Covid-19. The librarian, the main agent of the library's information provision, found that the problem recognition and involvement recognition in the Covid-19 situation were high, constraint recognition were low, and the level of information service was very active. And only constraint recognition has been shown to have a significant impact on providing Covid-19 related information services. Further research when future sources are available and follow-up research on how librarians' perceptions affect library operations are also proposed.

• Journal of Educational Research in Mathematics
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• v.8 no.1
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• pp.31-39
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• 1998

In this study the types of strategies, the reasonable method of the selection of the problem for the recognition of the strategies and the presentation of the problems based on the types of the strategies are explored. The strategies can be used in elementary, middle or high school mathematics. But it can't be expected that students use the strategies unfamiliar to them, so it is necessary to select the strategies applicable according to the degree of the student's affective and cognitive abilities. And it is desirable to select the problems for the recognition of the strategy such as nonroutine problems and open-ended problems, but more study is needed in these areas.

• Journal of Industrial Technology
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• v.21 no.B
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• pp.107-116
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• 2001

The speech includes various kinds of information : language information, speaker's information, affectivity, hygienic condition, utterance environment etc. when a person communicates with others. All technologies to utilize in real life processing this speech are called the speech technology. The speech technology contains speaker's information that among them and it includes a speech which is known as a speaker recognition. DTW(Dynamic Time Warping) is the speaker recognition technology that seeks the pattern of standard speech signal and the similarity degree in an inputted speech signal using dynamic programming. ln this study, using TMS320C32 DSP processor, we are to embody this DTW and to construct a security system.

• International Journal of Advanced Culture Technology
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• v.6 no.3
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• pp.173-177
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• 2018

Masks are generated by adding different fonts of learning data characters in pixel unit, and pixel values belonging to each of the masks are divided into 3 groups. Using the directional expansion operators, we expand the text area of the test data character into 4 diagonal directions in order to create the boundary areas to distinguish it from the background area. A mask with a minimum average discordance is selected as the final recognition result by calculating the degree of discordance between the expanded test data and the masks. Image comparison using directional expansion operations more accurately recognizes test data through 4 subdivided recognition processes. It is also possible to expand the ranges of 3 groups of pixel values of masks more evenly such that new fonts can easily be added to the given learning data.