• Journal of Industrial Convergence
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• v.21 no.3
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• pp.139-148
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• 2023

This study was conducted through Google online survey from November 24 to November 26, 2021 targeting 276 students from the department of dental hygiene at a university in Gangwon-do. The purpose of this study was to investigate the infection awareness of uniforms, recognition of washing rules, and the intention to prevent infectious diseases through individualism and collectivist self-esteem. Statistical methods were analyzed using SPSS Statistics 24.0 and AMOS 21.0 as follows. For analysis, frequency analysis, exploratory factor analysis, confirmatory factor analysis, reliability analysis, structural equation, and ANOVA analysis were performed. As a result, it was confirmed that the models of uniform infection awareness, uniform washing rule recognition(p<.001), self-esteem, individualism, and collectivist intention to prevent infectious diseases were suitable(p<.001). Collectivism was found to affect the perception of uniform infection, the recognition of uniform washing rules, and the intention to prevent infectious diseases, confirming that self-esteem and collectivism had an effect on the change of perception for infection prevention. In the future, it will be possible to use the uniform washing method considering collectivism in infection control education of the dental hygiene.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.1
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• pp.126-131
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• 2009

This study was carried out for the reliability of PD(Partial Discharge) pattern recognition. For the pattern recognition, the database for PD was established by use of self-designed insulation defects which occur and were mostly critical in GIS(Gas Insulated Switchgear). The acquired database was analyzed to distinguish patterns by means of PRPD(Phase Resolved Partial Discharge) method and stored to the form with to unite the average amplitude of PD pulse and the number of PD pulse as the input data of neural network. In order to prove the performance of genetic algorithm combined with neural network, the neural networks with trial-and-error method and the neural network with genetic algorithm were trained by same training data and compared to the results of their pattern recognition rate. As a result, the recognition success rate of defects was 93.2% and the neural network train process by use of trial-and-error method was very time consuming. The recognition success rate of defects, on the other hand, was 100% by applying the genetic algorithm at neural network and it took a relatively short time to find the best solution of parameters for optimization. Especially, it could be possible that the scrupulous parameters were obtained by genetic algorithm.

• Korean Journal of Occupational Health Nursing
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• v.10 no.1
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• pp.5-23
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• 2001

The purpose of this study was to analyse the level of recognition and performance of clinical nurses about the prevention of nosocomial infection. Subjects of the study were 425 nurses working at two university hospitals. Self report questionnaires were used to measure the level of recognition and performance about the prevention of nosocomial infection. These instruments had five dimensions of the management of nosocomial infection : hand washing, fluid therapy, foley catheterization, respiratory tract, and aseptic articles. Reliability coefficients of these instruments were found Cronbach's ${\alpha}=.94-.95$. Data were collected from August 1 to August 15, 2000. The results of the study were as follows : 1) The mean score of the recognition scores about the management of nosocomial infection was 3.89. 2) The mean score of the performance about the management of nosocomial infection was 3.42. 3) The mean score of the recognition about the management of nosocomial infection was significantly higher than the performance score(t=25.72. p<.001). 4) There was significant difference in the score of the recognition about managment in nosocomial infection according to nurses working unit(p<.001).

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.125-132
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• 2012

In this paper, We proposes FE-SM/SONN for recognizing blurred and smeared skid mark image caused by sudden braking of a vehicle. In a blurred and smeared skid marks, tread pattern image is ambiguous. To improve recognition of such image, FE-SM/SONN reads skid marks utilizing Fuzzy Logic and distinguishing tread pattern SONN(Self Organization Neural Networks) recognizer. In order to substantiate this finding, 48 tire models and 144 skid marks were compared and overall recognition ratio was 89%. This study showed 13.51% improved recognition compared to existing back propagation recognizer, and 8.78% improvement than FE-MCBP. The expected effect of this research is achieving recognition of ambiguous images by extracting distinguishing features, and the finding concludes that even when tread pattern image is in grey scale, Fuzzy Logic enables the tread pattern recognizable.

• Journal of Technologic Dentistry
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• v.32 no.3
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• pp.255-264
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• 2010

Purpose: This study was conducted to corroborate factors affecting dental technicians recognition states of their job consciousness. Methods: Self-administering questionnaires were distributed directly to some 200 registered female dental technicians in metropolis, small & medium-sized cities, farming and fishing villages of whom 153(76.5%) female dental technicians and female students responded in December, 2009. Information on recognition states of female dental technicians and female students in department of dental technology possible occupational mind and other general characteristics was gathered. Analysis of data was processed by use of X2-test and multiple regression analysis. Results: The recognition states of occupational satisfaction were higher in female students than female dental technicians(p<.05). They were observed that between respondents with more than five years of work and less than five years of career(p<.05). Statistically significant differences were observed in recognition values of female dental technicians occupational satisfaction between high and low groups of internal characteristic of their position and all ceramic part(p<.05). Conclusion: For woman dental technicians, the most predictive variables for recognition values of occupational satisfaction were an age, between groups, which of part and career(p<.05). Finally, this result suggests the facts that in order to achieve self-realization through the work experience, women herself should get rid of the dichotomous diagram and should change the consciousness of traditional role normals.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.388-393
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• 1992

An infrared range finder using a self-mixing laser diode (SM-LD), which has been proposed and developed by the Authors, can measure not only a range of a moving target but its velocity simultaneously. In this paper, described is that the precise mode-hop pulse train can be obtained by employing a new signal processing circuit even when the backscattered light returning into the SM-LD is much more weaker. As a result, the distance to a tilted square sheet made from aluminium or white paper, which is placed 10 cm through 60 cm from the SM-LD, is measured with accuracy of a few percent even when the tilting angle is less than 75 degrees or 85 degrees, respectively. And in this paper, described is the range-image recognition of a plane object under the condition of standstill. The output laser beam is scanned by scanning two plane mirrors-equipped with each stepping motor. And we succeeded in the acquisition of the range-image of a plane object in a few tens of seconds. Furthermore, described is a feasibility study about the range-image recognition of a slowly moving plane object.

• Korean Journal of Human Ecology
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• v.10 no.3
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• pp.291-301
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• 2001

The purpose of this study is to provide the apparel manufacturers who have not been effectively preparing for worldwide trends of rapid increase in overweight population with fundamental data to develop updated domestic market through the findings derived from the actual dissatisfaction factors in purchasing of a garment by overweight body customers excluded in the apparel industry. The results of study are as follows : Considering the relationships with dissatisfaction factors in purchasing ready-to-wear according to the interests in weight control, there is a slight difference in the partial intention from degree of self-recognition of body figure and interests in weight control and motivation of interests in weight control. As a results, first, the more recognition of obesity, the more dissatisfaction with "product variety" and "purchasing decision". Second, the more interests in weight control, the more dissatisfaction with product variety in purchasing of ready-to-wear. Third, the more self-recognition of obesity as the motivation of interests in weight control, there is a high dissatisfaction with product variety.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.5
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• pp.403-412
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• 1991

This paper proposes a type of self organizing neural network which recognizes arbitrary symbols as well as numerical or alphabetic characters. The proposed algorithm autonomically organizes and classifies similar patterns on the basis of the distribution types of characteristics in the input images. Thus it can be appliced for the recognition of arbitrary images when it is difficult to establish a learning rule. It performs a stale recognition process with in the limit of the memory capacity. The cheme was applied and tested to 50 different image patterns with increased noise level up to 44%(SNR 2dB). The implementation results demonstrate that the proposed algorithm successfully recognizes the image patterns changed due to the various noise levels and thus proves excellent antinoise characteristics.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.321-322
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• 2013

This study attempted to anyone so that you can experience the dance, the dance activities were considering the personal characteristics of the elementary school program that combines dance movements and theatrical representation by presenting a model of the program. May appear in physical activity and changes in emotion recognition focused on elementary school students by applying to the program, the result of applying the participants through a program of dance activities, according to the mutual recognition of body motion expressed through the body, and how to communicate the meaning of the expressions in various ways positive thinking, voluntary participation, and interpersonal relationships and was able to deliver, and have self-confidence and self-esteem for physical activity and altered consciousness.

• Journal of KIISE:Software and Applications
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• v.31 no.12
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• pp.1581-1590
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• 2004

We present a robust off-line method recognizing handwritten digits by only using stroke direction codes as a feature of handwritten digits. This method makes general 8-direction codes for an input digit and then has the multi-layered neural networks learn them and recognize each digit. The 8-direction codes are made of the thinned results of each digit through SOG*(Improved Self-Organizing Graph). And the usage of these codes simplifies the complex steps processing at least two features of the existing methods. The experimental result shows that the recognition rates of this method are constantly better than 98.85% for any images in all digit databases.