• Journal of Korean Physical Therapy Science
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• v.10 no.2
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• pp.86-95
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• 2003

This study randomly chose 10 humanity high schools, which are located in Busan and KyoungNam province. We then examined the recognition rate of physical therapy among 378 teachers who were and still are working in the schools. 1. The recognition grade of physical therapeutics between men and women was significantly different with results of 80.7% of men and 69.7% of women(p<0.05). In the case of experiencing physical therapy, 83.6% of people said they knew the physical therapeutics and in the case of the opposite side, the result was also significantly different with a result of 67.8%(p<0.05). 2. We ranked the people on how much they knew about the physical therapeutics among men and women. With men, the actual experience of physical therapeutic came before what they heard from other people. In the case of women, what they heard from other people came first and the actual experience of physical therapeutic came after. According to the public information from Inje University, the recognition grade is recorded in the 3rd grade department as 21.5% while in the case of experiencing treatment from a physical therapist, the result was 39.1%. In the other department (the 1st grade department), what men and women heard from mass media was recorded at 17.5% and what they heard from other people, it was recorded at 33.8%(p<0.05). 3. The research about the recognition of academic ability of being a physical therapist was that 55.6% of teachers thought that 3-year-college was the best, which made the results different from the recognition grade of the experience of education(p<0.05). 4. In the recognition grade of physical therapeutics, there were significantly differences from 50.2% of men and 45.2% of women were expecting about 1mil ion won to 1.99million won. In case of 25.2% of people who have experience less than 15years at work, they expected about 2million to 2.99million won. The figures were higher than 10.1% of people who have experiences over 15years. About the recognition grade of physical therapists social level in the future is 48.8% of people who had experienced of physical therapy and 63.8% of people who never had experienced of it said it would be better in the future. From these results, the recognition about physical therapeutics and the view of its social status are optimistic and they know well about the level of academic ability of physical therapists. On the other hand, most teachers don't know exactly about physical therapists work. So we have to inform them aggressively for enhancing the recognition of physical therapy because high school students are well affected by their teachers when they face their future or major in university.

• Journal of Korean Home Economics Education Association
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• v.21 no.2
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• pp.171-185
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• 2009

We investigated the extent of recognition and the class practice rate of environmental education-relevant contents of the unit of 'Clothing Life' of the 7th 'Technology-Home Economics' curriculum in the students in Korea. Five hundred fifty students in the second and third grade in the middle school and in the first grade in high school, who had taken the course of 'Clothing Life' and responded to the questionnaires, were enrolled in this study. Questionnaires were sent and collected by mail from December 2007 to January 2008. Most students recognized that the environmental problems in their residences were serious enough to affect their own lives. Only 36.4% of the students, however, expressed the intention to join to the environmental groups and change their clothing lives in order to improve those problems. Also they conceived that the unit of 'Clothing Life' of the 7th 'Technology-Home Economics' curriculum containing only a few statements on the environmental pollution had little relevance to environmental education. According to the results on the class practice rate of environmental education-relevant contents of the unit of 'Clothing Life', the quality of the classes on the environmental education, except the unit of 'Planning and Purchasing Clothes', and the degree of practice of environmental preservation were proved to be low. Subgroup analysis showed that the second grade middle school students as well as female students had the higher interest and class practice rate. Teachers have to try to raise the recognition and the class practice rate of environmental education-relevant contents in the unit of 'Clothing Life' of the 7th 'Technology-Home Economics' curriculum of middle school in the class.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.341-342
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• 2010

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.560-562
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• 1999

The SOFM neural network as the recognizant algorithm of 3-D underwater object with ultrasonic sensor had the recognizant rate of 100%.

• Journal of the Korean Society of Radiology
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• v.10 no.2
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• pp.81-87
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• 2016

In this study we proposed a texture feature analysis algorithm that distinguishes between a normal image and a diseased image using CT images of some fatty liver patients, and generates both Eigen images and test images which can be applied to the proposed computer aided diagnosis system in order to perform a quantitative analysis for 6 parameters. And through the analysis, we derived and evaluated the recognition rate of CT images of fatty liver. As the results of examining over 30 example CT images of fatty liver, the recognition rates representing a specific texture feature-value are as follows: some appeared to be as high as 100% including Average Gray Level, Entropy 96.67%, Skewness 93.33%, and Smoothness while others showed a little low disease recognition rate: 83.33% for Uniformity 86.67% and for Average Contrast 80%. Consequently, based on this research result, if a software that enables a computer aided diagnosis system for medical images is developed, it will lead to the availability for the automatic detection of a diseased spot in CT images of fatty liver and quantitative analysis. And they can be used as computer aided diagnosis data, resulting in the increased accuracy and the shortened time in the stage of final reading.

• Journal of the Korean Society of Food Culture
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• v.13 no.3
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• pp.227-239
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• 1998

The purpose of this stud was to investigate the degree of recognition as well as the consumption pattern of convenience food products, and related factors among 700 mixed Korean college students using written questionnaire. Students of Seoul region showed the significantly lowest rate of recognition at 36.7%. Results also showed that lifestyles have a significant effect on the degree of recognition of convenience foods. The consumption patterns of convenience foods goes as follows: used frequently-18.2%, once in awhile-73.9%, doesn't use-7.9%. The higher the recognition rate, the higher the consumption rate for convenience foods. When compared in terms of residence, students living at home used more refrigerated foods compared to students living outside of the home. Among the total students living outside of the home, students living on their own scored highest of convenience food consumption. In the case of female students living outside the home, respondents living alone and in dormitories scored the highest. Female students living in dormitories were mainly using refrigerated and canned foods, while those living alone consumed more kimbap and 'sa-bal-myun' in convenience stores. Korean college students mainly consumed frozen food, retort food, and kimbap in convenience stores. The college student that believes that 'You eat to satisfy hunger' significantly used more convenience food while those that marked 'maintain health' consumed the lowest showing a great difference between groups. Results showed that the lower the food habit score, the higher the usage score of convenience foods. The food habit score had a negative correlation with the usage of frozen foods, instant food, and convenience store food. When compared individually, packaged 'ramen' and 'sa-bal-myun' scored the highest points of usage. Frozen fried rice and pre-packaged rice scored the lowest points indicating Korean college students do not consider rice a convenience food. Convenience food consumed in convenience stores ranked the highest among places of consumption, compared to places like home or outdoors; showing that convenience foods were used by people with limited time constraints.

• Journal of the Korean Society of Radiology
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• v.9 no.6
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• pp.369-374
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• 2015

In this study we proposed a texture feature analysis algorithm that distinguishes between a normal image and a diseased image using CT images of some brain hemorrhage patients, and generates both Eigen images and test images which can be applied to the proposed computer aided diagnosis system in order to perform a quantitative analysis for 6 parameters. And through the analysis, we derived and evaluated the recognition rate of CT images of brain hemorrhage. As the results of examining over 40 example CT images of brain hemorrhage, the recognition rates representing a specific texture feature-value are as follows: some appeared to be as high as 100% including average gray level, average contrast, smoothness, and Skewness while others showed a little low disease recognition rate: 95% for uniformity and 87.5% for entropy. Consequently, based on this research result, if a software that enables a computer aided diagnosis system for medical images is developed, it will lead to the availability for the automatic detection of a diseased spot in CT images of brain hemorrhage and quantitative analysis. And they can be used as computer aided diagnosis data, resulting in the increased accuracy and the shortened time in the stage of final reading.

• Journal of the Society of Disaster Information
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• v.15 no.4
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• pp.459-468
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• 2019

Purpose: The cavity exploration of the lower part of the road is carried out to prevent ground-sinking. However, the detected communities cannot be identified by the cavity location and history information, such as repackaging the pavement. Therefore, the field applicability of RFID systems was evaluated in this study to enable anyone to accurately identify information. Method: During temporary recovery, tag recognition distance and recognition rate were measured according to underground burial materials and telecommunication tubes using RFID systems with electronic tag chips attached to the bottom of the rubber cap. Result: The perceived distance and perceived rate of depth for each position of the electron tag did not significantly affect the depth up to 15cm, but it did have some effect if the depth was 20cm. In addition, water effects from nearby underground facilities and rainfall are relatively small, and the effects of wind will need to be considered during the weather conditions of the road. Conclusion: The RFID tags for field application of the pavement management system store various information such as location and size of cavity, identification date, cause of occurrence, and surrounding underground facilities to maximize cavity management effect with a system that can be computerized and mobile utilization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.471-479
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• 2018

Recently, the spread of smart TV based Android iOS Set Top box has become common. This paper propose a new approach to control the TV using gestures away from the era of controlling the TV using remote control. In this paper, the AdaBoost algorithm is applied to gesture recognition by using a mono camera. First, we use Camshift-based Body tracking and estimation algorithm based on Gaussian background removal for body coordinate extraction. Using global and local feature vectors, we recognized gestures with speed change. By tracking the time interval trajectories of hand and wrist, the AdaBoost algorithm with CART algorithm is used to train and classify gestures. The principal component feature vector with high classification success rate is searched using CART algorithm. As a result, 24 optimal feature vectors were found, which showed lower error rate (3.73%) and higher accuracy rate (95.17%) than the existing algorithm.

• Journal of IKEEE
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• v.22 no.4
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• pp.1140-1146
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• 2018

Recently, a methodology for analyzing complex bio-signals using a deep learning model has emerged among studies that recognize human emotions. At this time, the accuracy of emotion classification may be changed depending on the evaluation method and reliability depending on the kind of data to be learned. In the case of biological signals, the reliability of data is determined according to the noise ratio, so that the noise detection method is as important as that. Also, according to the methodology for defining emotions, appropriate emotional evaluation methods will be needed. In this paper, we propose a wavelet -based noise threshold setting algorithm for verifying the reliability of data for multimodal bio-signal data labeled Valence and Arousal and a method for improving the emotion recognition rate by weighting the evaluation data. After extracting the wavelet component of the signal using the wavelet transform, the distortion and kurtosis of the component are obtained, the noise is detected at the threshold calculated by the hampel identifier, and the training data is selected considering the noise ratio of the original signal. In addition, weighting is applied to the overall evaluation of the emotion recognition rate using the euclidean distance from the median value of the Valence-Arousal plane when classifying emotional data. To verify the proposed algorithm, we use ASCERTAIN data set to observe the degree of emotion recognition rate improvement.