• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.9
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• pp.2129-2137
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• 2015

Lots of research and development works have been actively focused on the self-driving vehicles, locally and globally. In order to implement the self-driving vehicles, lots of fundamental core technologies need to be successfully developed and, specially, it is noted that traffic lights detection and recognition system is an essential part of the computer vision technologies in the self-driving vehicles. Up to nowadays, most conventional algorithm for detecting and recognizing traffic lights are mainly based on the color signal analysis, but these approaches have limits on the performance improvements that can be achieved due to the color signal noises and environmental situations. In order to overcome the performance limits, this paper introduces the morphological analysis for the traffic lights recognition. That is, by considering the color component analysis and the shape analysis such as rectangles and circles simultaneously, the efficiency of the traffic lights recognitions can be greatly increased. Through several simulations, it is shown that the proposed method can highly improve the recognition rate as well as the mis-recognition rate.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.35-44
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• 2007

This paper proposes a new method of weighted template matching for machine-printed numeral recognition. The proposed weighted template matching, which emphasizes the feature of a pattern using adaptive Hamming distance on local feature areas, improves the recognition rate while template matching processes an input image as one global feature. Template matching is vulnerable to random noises that generate ragged outlines of a pattern when it is binarized. This paper offers a method of chain code trimming in order to remove ragged outlines. The method corrects specific chain codes within the chain codes of the inner and the outer contour of a pattern. The experiment compares confusion matrices of both the template matching and the proposed weighted template matching with chain code trimming. The result shows that the proposed method improves fairly the recognition rate of the machine-printed numerals.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.3
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• pp.14-24
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• 1996

A fuzzy classifier which needs various analyses of features using genetic algorithms is proposed. The fuzzy classifier has a simple structure, which contains a classification part based on fuzzy logic theory and a rule generation ation padptu sing genetic algorithms. The rule generation part determines optimal fuzzy membership functions and inclusior~ or exclusion of each feature in fuzzy classification rules. We analyzed recognition rate of a specific object, then added finer features repetitively, if necessary, to the object which has large misclassification rate. And we introduce repetitive analyses method for the minimum size of string and population, and for the improvement of recognition rates. This classifier is applied to three examples of the classification of iris data, the discrimination of thyroid gland cancer cells and the recognition of confusing handwritten and printed numerals. In the recognition of confusing handwritten and printed numerals, each sample numeral is classified into one of the groups which are divided according to the sample structure. The fuzzy classifier proposed in this paper has recognition rates of 98. 67% for iris data, 98.25% for thyroid gland cancer cells and 96.3% for confusing handwritten and printed numeral!;.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.63-71
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• 2018

This survey is to compare the handwashing recognition and practice of middle school students in Korea and Nepal, according to the report that handwashing practice rate of Korea was significantly lower than those of developed countries. The handwashing survey tools of Korean CDC were used. As a result of analyzing data using SPSS/Win 23.0, there were differences in residential state, disease experience, and parental education level of subjects, handwashing practice was significantly higher in Nepal while higher handwashing recognition of Korea(p<.001). Among contents of handwashing practice, there were significant differences in drying methods, number of it with soap, time required, number of receiving education for it, and education methods. It is necessary to take measures to increase handwashing practice rate of Korea, while Nepal's is increasing by supplementing equipment and education even their handwashing recognition was low. This results are from a few middle school students in both countries by convenience sampling, therefore it is needed repeated studies with wider range of subjects.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.301-307
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• 2020

This study aimed to determine the association between stress recognition and oral symptom experiences among adolescents. We analyzed it, based on the 14th Korea Youth Risk Behavior Web-based Survey (2018), using the chi-square test and logistic regression. The distribution rate of stress recognition and oral symptom experience within one year were 81.7% and 48.9%, respectively. The group with stress recognition had a higher rate (52.2%) of oral symptom experience than the group that did not recognize stress (p<0.001). In the stress recognition group, the odds ratio for oral symptom experience was 1.86 (95% CI: 1.78-1.95). We suggest that stress is associated with oral health in adolescents. In the future, it will be necessary to study stress relief and oral health education in adolescents.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.25 no.5
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• pp.29-41
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• 2022

Alien species cause problems in various ecosystems, reduce biodiversity, and destroy ecosystems. Due to these problems, the problem of a management plan is increasing, and it is difficult to accurately identify each individual and calculate the number of individuals, especially when researching alien turtle species such as GPS and PIT based on capture. this study intends to conduct an individual recognition study using a UAV. Recently, UAVs can take various sensor-based photos and easily obtain high-definition image data at low altitudes. Therefore, based on previous studies, this study investigated five variables to be considered in UAV flights and produced a test paper using them. OCR was used to monitor the displayed turtles using the manufactured test paper, and this confirmed the recognition rate. As a result, the use of yellow numbers showed the highest recognition rate. In addition, the minimum threat distance was confirmed to be 3 to 6m, and turtles with a shell size of 6 to 8cm were also identified during the flight. Therefore, we tried to propose an object recognition methodology for turtle display text using OCR, and it is expected to be used as a new turtle monitoring technique.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.465-468
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• 2022

The incidence of traffic accidents is increasing every year, and Korea is among the top OECD countries. In order to improve this, various road traffic laws are being implemented, and various traffic control methods using equipment such as unmanned speed cameras and traffic control cameras are being applied. However, as drivers avoid crackdowns by detecting the location of traffic control cameras in advance through navigation, a mobile crackdown system that can be cracked down is needed, and research is needed to increase the recognition rate of vehicle license plates on the side of the road for accurate crackdown. This paper proposes a method to improve the vehicle number recognition rate on the road side by applying a gradient correction algorithm using image processing. In addition, custom data learning was conducted using a CNN-based YOLO algorithm to improve character recognition accuracy. It is expected that the algorithm can be used for mobile traffic control cameras without restrictions on the installation location.

• Journal of Internet Computing and Services
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• v.24 no.2
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• pp.11-18
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• 2023

Recently, in the field of Speech Emotion Recognition (SER), many studies have been conducted to improve accuracy using voice features and modeling. In addition to modeling studies to improve the accuracy of existing voice emotion recognition, various studies using voice features are being conducted. This paper, voice files are separated by time interval in a time series method, focusing on the fact that voice emotions are related to time flow. After voice file separation, we propose a model for classifying emotions of speech data by extracting speech features Mel, Chroma, zero-crossing rate (ZCR), root mean square (RMS), and mel-frequency cepstrum coefficients (MFCC) and applying them to a recurrent neural network model used for sequential data processing. As proposed method, voice features were extracted from all files using 'librosa' library and applied to neural network models. The experimental method compared and analyzed the performance of models of recurrent neural network (RNN), long short-term memory (LSTM) and gated recurrent unit (GRU) using the Interactive emotional dyadic motion capture Interactive Emotional Dyadic Motion Capture (IEMOCAP) english dataset.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.519-525
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• 2006

The traditional area-based matching or efficient matching methods using epipolar geometry and height restriction of stereo images, which have a confined search space for image matching, have still some disadvantages such as mismatching and timeconsuming, especially in the dense metropolitan city that very high and similar buildings exist. To solve these problems, a new image matching method through building recognition has been presented. This paper described building recognition in color stereo images using edge and color information as a elementary study of new matching scheme. We introduce the modified Hausdorff distance for using edge information, and the modified color indexing with 3-D RGB histogram for using color information. Color information or edge information alone is not enough to find conjugate building pairs. For edge information only, building recognition rate shows 46.5%, for color information only, 7.1%. However, building recognition rate distinctly increase 78.5% when both information are combined.

• Journal of Korean society of Dental Hygiene
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• v.13 no.4
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• pp.631-637
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• 2013

Objectives : The aim of the study is to propose the fundamental data for further developments of the school dental clinic program through evaluating comprehensive improvements of the indices and the oral health status. Methods : This studied was carried out from December 2010 to September 2012. Subjects were 239 elementary school 4th, 5th, 6th grade students having no school dental clinic and 195 elementary school 4th, 5th, 6th grade students having school dental clinic in Busan. They completed self-reported questionnaires after accepting informed consent. The questionnaire included knowledges, attitudes and practices for oral health recognition and supports of the school dental clinic program. Results : Permanent tooth caries prevention rate revealed 59.0%, 53.3%, and 62.0%. in 4th, 5th, and 6th respectively. Rate of Care Group with fissure sealant permanent teeth showed 80.3%, 88.0%, and 88.9% respectively. Index of Care Group with fissure sealant permanent teeth revealed 2.68, 2.90, and 3.97, respectively. DMFT index of Care Group was 1.11, 1.35, and 1.51, respectively. Active D rate of Care Group resulted in 16.7%, 24.1%, and 16.7%, respectively. Dental health education group showed high awareness level of fluoride and sealant effect for caries prevention. Tooth brushing of three times per day was more effective when using rolling tooth brushing. On the other hand, oral health recognition and oral status in the control group was low. Conclusions : Oral health recognition was closely related to good oral care. Expansion of oral health care business is important to prevent dental caries. Systematic approach for oral health education programs and human resources development is very important to improve oral health care.