• Journal of the Korean Home Economics Association
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• v.41 no.8
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• pp.79-95
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• 2003

The main goal of this program is to build a healthy adolescent culture tv broadening the understanding of adolescents and recognition of the environment as well through the development of educational programs centering on the domains of peer relationships, intimacy in dating relationships and sex, leisure activities, and consumption life of adolescents. The program was carried out to 10 young boys and girls for two days/one night and the major findings of the effects of the program through a qualitative evaluation were as follows: First, the program provided adolescent with a proper opportunity to promote a sense of self-confidence through the self-reevaluation process. Secondly, the program provided adolescents with a chance to firmly recognize to become good friends with others though the enhancement of self-esteem, which helped them to build a healthy peer relationship. Thirdly, adolescents were able to promote their views on sex and sexual decision-making by acquiring a proper knowledge of intimacy in dating relationships and of sex, and by candidly expressing their own opinions on sex with instructors. Fourthly, the program provided adolescents with an opportunity to look back on their leisure life with family members which had been neglected thus far and to renew their recognition of active leisure activities. Fifthly, the program provided adolescents with a chance to reflect on their unplanned consumption life and to be firmly determined to refrain from impulsive purchasing and extravagance.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.2
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• pp.254-259
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• 2011

For the emergency detecting in general CCTV environment of our daily life, the monitoring by only images through CCTV information occurs some problems especially in cost as well as man power. Therefore, in this paper, for detecting emergency state dynamically through CCTV as well as resolving some problems, we propose a detection and recognition method for emergency and non-emergency speech by GMM. The proposed method determine whether input speech is emergency or non-emergency speech by global GMM. If emergeny speech, local GMM is performed to classify the type of emergency speech. The proposed method is tested and verified by emergency and non-emergency speeches in various environmental conditions.

• Bulletin of the Korean Chemical Society
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• v.30 no.12
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• pp.2938-2942
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• 2009

New receptors 1-3 that bind stereoselectively amino alcohols and convert chirality of amino acidsvia imine bond formation were synthesized. The receptors have uryl (1), thiouryl (2) and guanidinium (3) groups all with additional phenylcarbonyl motifs, which are effective hydrogen bonding donors and play a key role in the stereoselective recognitions. The stereoselectivities were measured from the integration of $^1HNMR$ peaks. Compound 1 and 2 showed the stereoselectivities for the imine formation with amino alcohols ($K_R/K_S$) in the range of 2${\sim}$4, and compound 3 in the range of 4${\sim}$8. Chirality conversion efficienciesof 1-3 for amino acids, i.e. D/L ratio at equilibrium, are in the range of 1.5${\sim}$5.6, showing a little higher efficiency with 3. The additional phenylcarbonyl motifs in 1-3 were revealed not to contribute to significant enhancement of the selectivities.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.11
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• pp.152-165
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• 1998

This study proposes the analysis and evaluation method of time series ultrasonic signal using the chaoral post-process system for precision rate enhancement of ultrasonic pattern recognition. Chaos features extracted from time series data for analysis quantitatively weld defects For this purpose, feature extraction objectives in this study are fractal dimension, Lyapunov exponent, shape of strange attrator. Trajectory changes in the strange attractor indicated that even same type of defects carried substantial difference in chaoticity resulting from distance shifts such as nearby 0.5, 1.0 skip distance. Such difference in chaoticity enables the evaluation of unique features of defects in the weld zone. In quantitative chaos fenture extraction, feature values of 0.835 and 0.823 in the case of slag inclusion and 0.609 and 0.573 in the case of crack were suggested on the basis of fractal dimension and Lyapunov exponent. Proposed chaoral post-process system in this study can enhances precision rate of ultrasonic pattern recognition results from defect signals of weld zone, such as slag inclusion and crack.

• Journal of Yeungnam Medical Science
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• v.35 no.1
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• pp.127-129
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• 2018

Fitz-Hugh-Curtis syndrome (FHCS) is characterized by inflammation of the perihepatic capsules associated with the pelvic inflammatory disease (PID). FHCS is not a serious disease, but if not treated properly, it can result in increased medical costs, prolonged treatment, and dissatisfaction with treatment. However, early recognition of FHCS in the emergency department can be difficult because its symptoms or physical findings may mimic many other diseases. Although contrast-enhanced computed tomography (CECT) is the useful imaging modality for recognition of FHCS, it is available only when a high suspicion is established. We performed point-of-care ultrasonography in an 18-year-old woman who had a sharp right upper quadrant (RUQ) abdominal pain without PID symptoms and found a thickened or three-layer hepatic capsule. These findings coincided with areas showing increased hepatic capsular enhancement in the arterial phase of CECT. These results show that if the thickened or three-layer hepatic capsule without evidence of a common cause of RUQ pain is observed on ultrasonography in women of childbearing age with RUQ abdominal pain, the physician can consider the possibility of FHCS.

• Korean Journal of Remote Sensing
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• v.7 no.2
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• pp.131-147
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• 1991

Feature enhancement combined with some pattern recognition techiques were applied to the Remote Sensing Data for geological mapping with particular emphasis on non-me-tallic ore deposits and their related geologies. The area chosen is north of Ulsan, the size of which is about 400km$^2$. The geology of the area consists mainly of volcanics, volcanic sediments and clastic sediments of Miocene age, underlain by the Kyungsang sediments of Cretaceous age. The mineralization occurs in tuffs or along the bedding plane of tuffaceous sediments, the main products of which are Kaolinite and Bentonite. The outcrops or mine dumps in the study area were most effectively extracted on the histrogram normalized image of TM Band 1 and 2, due to their high reflectivity. These may be confused with some artificial features, like slate roof complex of the poultry farm or cement ground, which should be classified by field checking. Detailed examination of enhancment image combined with pattern recognition techniques made enable to classify different rocks and thereby extract volcanic products which are mainly related to non-metallic ore deposits in the study area.

• Journal of the Korean Society of Food Culture
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• v.24 no.3
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• pp.245-255
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• 2009

As multinational brands have made inroads into domestic food service industry, and its recognition has been high to consumers, This research has tried to examine the general identity of brand, their recognition, and re-purchase behaviors. The purpose of this study is to inquire into how the brand value by brand identity was caused by recent development of food service industry, and how it had an effect on the purchase behaviors of them. In particular, factors of general identity have a significant effect on the revisit and purchase intention, as the image and ads of family restaurant among brand property factors of family restaurant showed an significant effect on the revisit intention. This study was made with priority given to the brand identity as four brand factors such as product brand, organizational brand, community brand and design brand based on the confidence. Results found that the community brand and design brand had a significant difference on purchase intention. Consequently, it has been suggested that the marketing strategies to make the brand identity strong have to be established with various brand enhancement tactics in the food service industry.

• ETRI Journal
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• v.46 no.1
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• pp.127-136
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• 2024

The Korean language has written (formal) and spoken (phonetic) forms that differ in their application, which can lead to confusion, especially when dealing with numbers and embedded Western words and phrases. This fact makes it difficult to automate Korean speech recognition models due to the need for a complete transcription training dataset. Because such datasets are frequently constructed using broadcast audio and their accompanying transcriptions, they do not follow a discrete rule-based matching pattern. Furthermore, these mismatches are exacerbated over time due to changing tacit policies. To mitigate this problem, we introduce a data-driven Korean spoken-to-written transcription conversion technique that enhances the automatic conversion of numbers and Western phrases to improve automatic translation model performance.

• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.453-462
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• 2021

A lot of license plate data is required for car number recognition. License plate data needs to be balanced from past license plates to the latest license plates. However, it is difficult to obtain data from the actual past license plate to the latest ones. In order to solve this problem, a license plate recognition study through deep learning is being conducted by creating a synthetic license plates. Since the synthetic data have differences from real data, and various data augmentation techniques are used to solve these problems. Existing data augmentation simply used methods such as brightness, rotation, affine transformation, blur, and noise. In this paper, we apply a style transformation method that transforms synthetic data into real-world data styles with data augmentation methods. In addition, real license plate data are noisy when it is captured from a distance and under the dark environment. If we simply recognize characters with input data, chances of misrecognition are high. To improve character recognition, in this paper, we applied the DeblurGANv2 method as a quality improvement method for character recognition, increasing the accuracy of license plate recognition. The method of deep learning for license plate detection and license plate number recognition used YOLO-V5. To determine the performance of the synthetic license plate data, we construct a test set by collecting our own secured license plates. License plate detection without style conversion recorded 0.614 mAP. As a result of applying the style transformation, we confirm that the license plate detection performance was improved by recording 0.679mAP. In addition, the successul detection rate without image enhancement was 0.872, and the detection rate was 0.915 after image enhancement, confirming that the performance improved.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.687-692
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• 2018

In this paper, the development of an automotive thermal imaging camera providing image information for ADAS (Advanced Driver Assist System) and autonomous vehicles is described and an improved technique to enhance the details of the image is proposed. Thermal imaging cameras are used in various fields, such as the medical, industrial and military fields, for the purpose of temperature measurement and night vision. In automobiles, they are utilized for night vision systems. For their utilization in ADAS and autonomous vehicles, appropriate image resolution and enhanced detail are required for object recognition. In this study, a $640{\times}480$ resolution thermal imaging camera that can be applied to automobiles is developed and the BDE (Block-Range Detail Enhancement) technique is applied to improve the details of the image. In order to improve the image detail obtained in various driving environments, the block-range values between the target pixel and the surrounding 8 pixels are calculated and classified into 5 levels. Then, different factors are added or subtracted to obtain images with high utilization. The improved technique distinguishes the dark part of the image by the resulting temperature difference of 130mK and shows an improvement in the fine detail in both the bright and dark parts of the image. The developed thermal imaging camera using the improved detail enhancement technique is applied to a test vehicle and the results are presented.