• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.206-208
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• 2022

As the big data industry has recently developed significantly, interest in privacy violations caused by personal information leakage has increased. There have been attempts to automate this through named entity recognition in natural language processing. In this paper, named entity recognition data is constructed semi-automatically by identifying sentences with de-identification information from de-identification information in Korean Wikipedia. This can reduce the cost of learning about information that is not subject to de-identification compared to using general named entity recognition data. In addition, it has the advantage of minimizing additional systems based on rules and statistics to classify de-identification information in the output. The named entity recognition data proposed in this paper is classified into twelve categories. There are included de-identification information, such as medical records and family relationships. In the experiment using the generated dataset, KoELECTRA showed performance of 0.87796 and RoBERTa of 0.88.

• Journal of the Korea Society of Computer and Information
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• v.11 no.1 s.39
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• pp.19-25
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• 2006

Iris recognition is a bio metric personal identification which uses iris pattern of the pupil, and it is recognized as one of the best technology in personal identification and information security field. Before iris recognition, it is very important to search center of pupil. In recent years, there was developed many searching algorithms of center of pupil, but all most method are too many processing time. In this paper, we proposed a new method for searching center of pupil. This method is greatly reduced processing time about 30% compared with other algorithm using Hough transformation.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.915-916
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• 2013

• Journal of Korean society of Dental Hygiene
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• v.9 no.2
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• pp.73-88
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• 2009

The purpose of the study was to provide the basic for the prevention of infection control by analyzing the level of recognition and practice of dental hygiene students. It is important for dental clinic staffs to know and practice infection control measures in favor of effective infection control. Thus, this study conducted an one-month questionnaire survey (during October 2008) for dental hygiene students who ever experienced in 16-week clinical practice, and analyzed total 206 questionnaire forms as collected from them, so that it could determine potential associations between their recognition and practice of infection control and thereby suggest an efficient solution for infection control in dental hygiene. 1. It was found that our students' recognition about infection control averaged $4.49{\pm}.58$ points on the whole, and they were best aware of instrumental disinfection and sterilization among other measures, which was followed by hand washing, extirpation control, post-sterilization management, personal protective outfit and instrumental surface maintenance respectively. 2. It was found that our students' practice of infection control averaged $3.85{\pm}.57$ points on the whole, and they practiced hand washing most actively among other measures, which was followed by extirpation control, post-sterilization management, instrumental disinfection and sterilization, personal protective outfit and instrumental surface maintenance respectively. 3. It was found that our students scored higher mean points in recognition about every measure of infection control than those in practice (t=15.676, p=0.000). Particularly, it was notable that there were significant differences between their mean points in recognition and practice of some infection control measures, such as instrumental surface maintenance (t=15.361, p=0.000), personal protective outfit (t=15.245, p=0.000) and instrumental disinfection and sterilization (t=11.169, p=0.000). But there was least significant difference between mean points in recognition and practice of hand washing (t=5.460, p=0.000). 4. For potential associations between recognition and practice of infection control, it was found that higher recognition was in significantly positive associations with higher practice in every measure of infection control (r=.478, p=.000), such as extirpation control (r=.630, p=.000), instrumental disinfection and sterilization (r=.477, p=.000) and post-sterilization management (r=.433, p=.000). 5. It was found that there were differences in our students' recognition depending upon availability of infection control guideline (t=4.587, p=.011), and there were significant differences in practice depending on necessity of infection control education on a statistical basis (t=2.229, p=.027). Overall, it is found that our dental hygiene students are very likely to practice hand washing and extirpation control, because both of these measures are relatively easy to practice or are considered legally binding.

• Korean Journal of Social Welfare
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• v.58 no.1
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• pp.5-29
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• 2006

This study analyzed the effect of the teachers' personal variables to the teachers' recognition and attitude about the integrated education. The purpose of this study is to suggest the basic data of the strategic plan for the integrated education of the exceptional children. After survey of the daycare centers' teachers, I analyzed the impact of the individual variables experience, level, education level, experience of integrated education, disabled study - to the teachers' recognitions and behaviors of the integrated education. The results of this study are that personal variables showed different impacts according to the recognition and behaviors. However, integrated education experiences and disabled study experiences showed the important roles. Consequently, I suggest the disabled study and integrated education for the teachers.

• Journal of Biomedical Engineering Research
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• v.31 no.5
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• pp.365-374
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• 2010

This paper is about the personal identification algorithm using an ECG that has been studied by a few researchers recently. Previously published algorithm can be classified as two methods. One is the method that analyzes ECG features and the other is the morphological analysis of ECG. The main characteristic of proposed algorithm uses together two methods. The algorithm consists of training and testing procedures. In training procedure, the features of all recognition objects' ECG were extracted and the PCA was performed for morphological analysis of ECG. In testing procedure, 6 candidate ECG's were chosen by morphological analysis and then the analysis of features among candidate ECG's was performed for final recognition. We choose 18 ECG files from MIT-BIH Normal Sinus Rhythm Database for estimating algorithm performance. The algorithm extracts 100 heartbeats from each ECG file, and use 40 heartbeats for training and 60 heartbeats for testing. The proposed algorithm shows clearly superior performance in all ECG data, amounting to 90.96% heartbeat recognition rate and 100% ECG recognition rate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.2
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• pp.200-205
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• 2006

Abstract This paper presents a personal identification method based on BMME and LDA for images acquired at anterior and posterior occlusion expression of teeth. The method consists of teeth region extraction, BMME, and pattern recognition forthe images acquired at the anterior and posterior occlusion state of teeth. Two occlusions can provide consistent teeth appearance in images and BMME can reduce matching error in pattern recognition. Using teeth images can be beneficial in recognition because teeth, rigid objects, cannot be deformed at the moment of image acquisition. In the experiments, the algorithm was successful in teeth recognition for personal identification for 20 people, which encouraged our method to be able to contribute to multi-modal authentication systems.

• Journal of Family Resource Management and Policy Review
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• v.13 no.4
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• pp.73-93
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• 2009

The purpose of this study was to examine retirees' attitudes towards change of living standards. The data were drawn from the 2007 Korean Retiree Survey, as carried out by the Korean Investors Education Foundation. The major findings are as follows: 1) Some retirees were not well-prepared for retirement, i.e., they lacked financial consultation, had low personal financial literacy, and lacked sufficient wealth. Retirees suffered from health difficulties, loneliness or a sense of alienation, family conflict, or lack of pastimes. 2) Certain groups recognized the change of living standards for retirees as either positive or negative. Retirees who recognized the change of living standards as negative were not well-prepared for retirement, had low personal financial literacy, and lacked sufficient wealth. They also suffered from health difficulties, loneliness or a sense of alienation, family conflict, or lack of pastimes. 3) There was a strong probability for the negative recognition group not to be well-prepared for retirement, having low personal financial literacy, and lacking in sufficient wealth. There was a strong probability for the negative recognition group to suffer from health difficulties or lack of pastimes. Based on these findings, this research suggests that retirees should prepare for retirement with a positive attitude.

• Journal of Technologic Dentistry
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• v.32 no.2
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• pp.91-102
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• 2010

Purpose : The purpose of study was 500 people who are not related to dentistry in order to survey image about dental technicians. Methods : The subjects were composed of 500 people who are not related in Daegu Metropolitan city. This study was done using the Statistical Package for Social Sciences 17.0 for Windows. As for the analysis methods, the study used the frequency analysis, percentage, mean, t-test, analysis of variance. Results : The score on the image of dental technicians declined in the order of occupational image(2.98), work image(3.14), personal image(3.26), social image(2.87). 'It is hard and stressful' in the occupational image had the highest score with 3.69, 'Dentist and companionship are strong' in the occupational image had the lowest score with 2.21. 'It need expert knowledge and a skilled technology' in the work image had the highest score with 3.69, 'Health medical treatment side of health technique is occupation.' in the work image had the lowest score with 3.69. 'It always work busily' in the personal image had the highest score with 3.69, 'It is value and is effect work.' in the personal image had the lowest score with 3.69. 'An employment is easy after license acquisition.' in the social image had the highest score with 3.69, 'It admit independence' in the social image had the lowest score with 3.69. Conclusion : Dental technition research in order to image improvement and recognition, as the medical professional must construct the desirable dental technition image and recognition.

• Journal of the Korea Safety Management & Science
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• v.24 no.1
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• pp.31-38
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• 2022

The most common symptoms of COVID-19 are high fever, cough, headache, and fever. These symptoms may vary from person to person, but checking for "fever" is the government's most basic measure. To confirm this, many facilities use thermographic cameras. Since the previously developed thermographic camera measures body temperature one by one, it takes a lot of time to measure body temperature in places where many people enter and exit, such as multi-use facilities. In order to prevent malfunctions and errors and to prevent sensitive personal information collection, this research team attempted to develop a facial recognition thermographic camera. The purpose of this study is to compensate for the shortcomings of existing thermographic cameras with disaster safety IoT integrated solution products and to provide quarantine systems using advanced facial recognition technologies. In addition, the captured image information should be protected as personal sensitive information, and a recent leak to China occurred. In order to prevent another case of personal information leakage, it is urgent to develop a thermographic camera that reflects this part. The thermal imaging camera system based on facial recognition technology developed in this study received two patents and one application as of January 2022. In the COVID-19 infectious disease disaster, 'quarantine' is an essential element that must be done at the preventive stage. Therefore, we hope that this development will be useful in the quarantine management field.