• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.652-655
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• 2023

우리나라에서는 지난 10년간 매년 4만 건 내외의 화재가 발생하여 많은 인명 피해와 경제적 손실이 발생하고 있다. 화재가 발생했을 때는 화재를 신속히 진압하여 인명 피해와 경제적 손실을 최소화하여야 한다. 또한, 화재 사고를 예방하기 위해 화재의 발화 원인이 무엇인지 알아내야 한다. 기존의 화재 경보 시스템에서는 온도, 연기, 불꽃 센서 등으로 화재를 감지하였으나 오경보나 화재를 인식하지 못하는 문제, 화재 원인을 구분하지 못하는 문제 등이 있었다. 또한, 사람이 화재 발생을 인지하기까지 시간이 많이 소요될 수 있고 부재로 인해 화재 상황인식이 늦어질 수도 있는 문제가 있었다. 이러한 문제를 해결하기 위해 본 논문에서는 GCN(Graph Convolutional Network) 모델을 이용하여 화재 상황에서의 복합 센서 상황을 학습해서 실제 화재 사고가 발생했을 때 화재의 원인을 구분할 수 있는 모델을 제안한다.

• Journal of Korean Academy of Nursing
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• v.30 no.3
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• pp.750-763
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• 2000

This study is based on grounded theory methodology by Strauss & Corbin(1998). Ten hospitalized subjects were interviewed for data collection. In the process of data analysis, 'acceptance' is found to be the causal condition, while 'health professionals' skillfulness', 'ward environment', 'history of hospitalization', and 'general conditions' were identified as context, 'felling of relief' as the core phenomenon, 'self-efficacy', 'support of others', and 'life style' as the intermediate situation, 'passive reaction', 'alternative reaction' and 'active reaction' as the strategy and 'stabilization', 'satisfaction', 'hope' and 'carrying out' as consequences. 'Feeling of relief' is found to go through the three stages of recognition-generation-maintenance after the five different patterns. 1) In case the health professionals are skillful, the ward environment is favorable, the general conditions of the patients improved and as a result the feeling of relief is strong, during the first hospitalization, the self-efficacy of the subjects tends to be strong. They proceed toward the goal set for themselves with a renewed hope and active or alternative reaction toward the feeling of relief. 2) The subjects tend to proceed toward the goal set for themselves with a renewed hope and active and alternative reaction toward the feeling of relief in case health professionals are skillful, the ward environment is favorable the general conditions of the subjects improved, self-efficacy is strong, and lifestyle is autonomous, during the second hospitalization even though support of others is merely superficial. 3) The subjects tend to stabilize, and satisfy themselves with the given situation with passive and alternative reaction to the feeling of relief in case health professionals are skillful and the ward environment is favorable but the general conditions worsened and accordingly the feeling of relief, is weak and life style is dependent during the second hospitalization although the subjects' self-efficacy is strong and support of others is specific. 4) The subjects tend to stabilize and satisfy themselves with the given situation with passive and alternative reaction to the feeling of relief in case health professionals are unskillful the ward environment is unfavorable, the general conditions improved, support of others is specific but life style is dependent and self-efficacy is weak during the first hospitalization. 5) The subjects tend to stabilize and satisfy themselves with the given situation in case health professionals are unskillful the ward environment is unfavorable but the general conditions improved support of others is specific and as a result self-efficacy is strong but life style is dependent.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.101-125
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• 2022

Recently, with the development of computing technology and the improvement of the cloud environment, deep learning technology has developed, and attempts to apply deep learning to various fields are increasing. A typical example is anomaly detection, which is a technique for identifying values or patterns that deviate from normal data. Among the representative types of anomaly detection, it is very difficult to detect a contextual anomaly that requires understanding of the overall situation. In general, detection of anomalies in image data is performed using a pre-trained model trained on large data. However, since this pre-trained model was created by focusing on object classification of images, there is a limit to be applied to anomaly detection that needs to understand complex situations created by various objects. Therefore, in this study, we newly propose a two-step pre-trained model for detecting abnormal situation. Our methodology performs additional learning from image captioning to understand not only mere objects but also the complicated situation created by them. Specifically, the proposed methodology transfers knowledge of the pre-trained model that has learned object classification with ImageNet data to the image captioning model, and uses the caption that describes the situation represented by the image. Afterwards, the weight obtained by learning the situational characteristics through images and captions is extracted and fine-tuning is performed to generate an anomaly detection model. To evaluate the performance of the proposed methodology, an anomaly detection experiment was performed on 400 situational images and the experimental results showed that the proposed methodology was superior in terms of anomaly detection accuracy and F1-score compared to the existing traditional pre-trained model.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.19-24
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• 2020

WHO declared a global pandemic on March 11th for Corona 19. However, there is a situation where you have to go to building for face-to-face education or seminars for economic and social activities. The first check method of COVID-19 infection is to measure body temperature, so the primary entrance and exit is blocked for near-field body temperature measurement. However, since it is troublesome to check directly, thermal camera is installed at the entrance of the building, and body temperature is measured indirectly using the infrared camera to control access. In case of middle and high schools, universities, and lifelong education center, we need a system that is possible to interoperate with attendance checks and automatically recognizes whether to wear masks and can authenticate students. We proposed the system that is to confirm whether to wear a mask with a camera that is embedded in a smart mirror, and that authenticates the user through voice recognition of the user who wants to enter the building by using voice recognition technology and determines whether to enter them or not. The proposed system can check attendance if it is linked with near-field temperature measurement and attendance check APP of student's smart phone.

• Journal of Fashion Business
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• v.8 no.2
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• pp.69-90
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• 2004

The purpose of this study is to find the recognition of Korean image fashion design by U.K fashion specialists. U.K is one of the important countries in design field including fashion design since 1960. For this purpose, literature research and focus individual interview research were carried. First, through the researches precedent, it was found that a national image is related with it's design industry and what is Korean image fashion design, were studied. Second, for individual interviews to 13 U.K fashion specialists, who are teaching and researching in University that has postgraduate course over M.A and had industrial experiences from 7years to 22years, were progressed using open questions and visual image stimulus. The open questions were consisted with four parts : personal educational and industrial background, recognitions about oriental fashion, recognitions about Korean image and Korean fashion design before seeing the visual stimulus, recognition about Korean image fashion design and the characteristics of Korean after seeing the visual stimulus. The results are as follows; First, the 12 U.K specialists have recognized 'oriental fashion' is one of important fashion trends now a days. Japan and Japanese designers are recognized as a represented nation and designer in oriental fashion by them. Two of the specialists referred to need changing the term 'oriental' because the term has been used in the sights of western from colonial age and Japanese is not included the oriental any more. Secondly, 11 interviews have recognized nothing about the Korean national image some of them has negative image due to political situation in Korean Peninsula. However 2 interviews who had been Korea before has positive image. In the questions about Korean fashion and Korean fashion designers, 10 of 13 interviews have nothing and negative recognitions. So it was founded that Korean fashion design was recognized as a lower level by U. K. fashion specialists. Thirdly, in the questions about Korean fashion image and the design characteristics of Korean fashion after seeing the visual stimulus, the response was represented two directions. One is about over decorative image through ethnic design and the other is about simple image differ from Japanese. The 13 interviews felt the Korean Image fashion design such like traditional, decorative, opulent, flat cutting, fresh proportion, loose, layering, natural, simplicity, complicate, adventure, easy, stylish, soft, feminine, young image, adult sexy image. The images were analyzed five image groups : adult sexy image, adult ethnic image, natural image, young avant-garde image, young simple casual image. No one preferred the adult sexy image, adult ethnic image and natural image. However 10 interviews preferred young avant-garde group and 13 interviews preferred the young simple casual image. So this group can be understanded and useful informed as one of competitive power in global fashion industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.358-365
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• 2017

In this paper, we propose an object recognition method using image information to improve the efficiency of visual servoingfor industrial manipulators in industry. This is an image-processing method for real-time responses to an abnormal situation or to external environment change in a work object by utilizing camera-image information of an industrial manipulator. The object recognition method proposed in this paper uses the Otsu method, a thresholding technique based on separation of the V channel containing color information and the S channel, in which it is easy to separate the background from the HSV channel in order to improve the recognition rate of the existing Harris Corner algorithm. Through this study, when the work object is not placed in the correct position due to external factors or from being twisted,the position is calculated and provided to the industrial manipulator.

• Journal of vocational education research
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• v.35 no.4
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• pp.155-176
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• 2016

This study analyzed content of and recognition on occupations shown from Technology Home Economics textbooks of the high school elective subject having a higher connection with the career development capability for the occupational world as shown from a curriculum analysis. Hence, this study selected 3 kinds of high school Technology Home Economics textbooks with a higher share from 6 in the 2007 revised curriculum and analyzed a frequency by characteristic of occupational content and recognition on description of a occupation. Content analyzed by researchers was examined by 2 school teachers to ensure the validity and objectivity of research findings. Research findings show that there is a great deal of frequency difference in occupations suggested by publisher and unit in the Technology Home Economics subject. Also suggestion frequency of the occupational classification by level from Korean standard industrial classification did not correspond to an actual situation of employment. Occupation names suggested from textbooks occupied 3.3% of those by Korean Occupation Dictionary, showing a higher suggestion ratio at occupations preferred by adolescents. In the textbooks, occupations were suggested from reading materials, photos and illustrations more than from texts. Recognition on descriptions of occupations showed for the most part the neutral(82.8%) and the positive16.2%)', and there was no biased intention even from some negative cases(1.0%). Based on research findings, this research has significance in that it suggested things to be considered for teaching career development capability in the high school Technology Home Economics subject and need for cultivating teachers' specialty to understand occupations and instruct career development. It also suggested improvements to be required for a new curriculum textbook.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.59-66
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• 2021

Humans mainly recognize surrounding objects using visual and auditory information among the five senses (sight, hearing, smell, touch, taste). Major research related to the latest object recognition mainly focuses on analysis using image sensor information. In this paper, after emitting various chirp audio signals into the observation space, collecting echoes through a 2-channel receiving sensor, converting them into spectral images, an object recognition experiment in 3D space was conducted using an image learning algorithm based on deep learning. Through this experiment, the experiment was conducted in a situation where there is noise and echo generated in a general indoor environment, not in the ideal condition of an anechoic room, and the object recognition through echo was able to estimate the position of the object with 83% accuracy. In addition, it was possible to obtain visual information through sound through learning of 3D sound by mapping the inference result to the observation space and the 3D sound spatial signal and outputting it as sound. This means that the use of various echo information along with image information is required for object recognition research, and it is thought that this technology can be used for augmented reality through 3D sound.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.19
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• pp.8135-8142
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• 2014

Background: Breast cancer is the most common cancer in Iranian women and usually features delayed presentation and late diagnosis. Interpretation of symptoms, as the most important step, has a significant impact on patient delay in seeking treatment. There is a dearth of studies on symptom appraisal and the process leading to seeking help in breast cancer patients. This study explored the perceptions and experiences of Iranian women with self-detected possible breast cancer symptoms. Materials and Methods: A qualitative method was conducted involving in-depth semi-structured interviews with 27 Iranian women with self-discovered breast cancer symptoms. Participants were purposefully selected from women who attended Cancer Institute of Tehran University of Medical Sciences during June 2012 to August 2013. The audiotaped interviews were transcribed and analyzed using conventional content analysis with MAXQDA soft ware version 10. The trustworthiness of the study was verified by prolonged engagement, member validation of codes, and thick description. Results: The main concepts emerging from data analysis were categorized in four categories: symptom recognition, labeling of symptoms, interactive understanding, and confronting the fear of cancer. Symptom recognition through breast self-examination, symptom monitoring and employing prior knowledge distinguished normal from abnormal symptoms and accompanied with perception of being at risk of breast cancer led to symptom labeling. Social interaction by selective disclosure and receiving reassurance from a consultant led to confirmation or redefinition of the situation. Perceived seriousness of the situation and social meanings of breast cancer as a stigmatized and incurable illness associated with loss of femininity were reasons for patient worries and fear. Conclusions: This study emphasized that entangled cognitive, emotional and socio-cultural responses affecting understanding of symptom seriousness require further investigation. It is suggested that programs aimed at shortening patient delay in breast cancer should be focused on improving women's knowledge and self-awareness of breast cancer, in addition to correcting their social beliefs.

• Journal of radiological science and technology
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• v.5 no.1
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• pp.77-95
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• 1982

The result of this study from surveying and analyzing the present situation of educational institutes of radiologic technology, educational situation of radiologic technology, and students' attitude and recognition about the education of radiologic technology, the faculty's thought of it throughout the country from October, 1981 to April, 1982 is as follows: 1. The total number of educational institutes for radiologic technology is 11, but all of them are private colleges classified by foundation and 1,414 freshmen were admitted to enter the colleges by admission quotas of students at present in March, 1982. 2. The number of male(1965-1982) is 3,046(78.0%), that of female is 856(22.0%), and total of them is 3,904 that graduated from the departments of radiologic technology in 9 junior colleges in Korea. 3. The number of the instructional staffs in radiologic technology in Korea is 32, but among them 1 professor, 1 associate professor, 16 assistant professors and 14 full-time instructors. 4. The credits for graduation are 80-96 credits and students need required liberal arts and required major studies to get the qualification for graduation. 5. In the national examination for radio-technologist license, total 7,150 persons took the examination, but only 2,796 persons passed it, therefore, the average passed rate is 39.1% from the year 1965 to 1982. 6. 61.3% of students expressed dissatisfaction about their campus lives, the reason of which is mainly poor educational facilities(26.7%), insufficient number of faculty(21.2%) and negative Recognition on junior college from society, etc. 7. About the education of their major studies of colleges, 70.9% of students answered that they were short of laboratory works and clinical trainings rather than theoretical lessons. 8. The chief problem in practice works is about facilities and equipemtns for practice (students 39.1%, faculty 68.8%), and about the fact that too many students usually work at a time(students 17.1%, faculty 21.9%), etc. 9. 87.4% of students and 93.8% of faculty answered that clinical training in school is necessary. 10. Students' viewpoints on the radiologic technologist and the attitudes on the profession as a radiologic technologist are approximately affirmative. 11. Fields of employment to advance after graduation are mainly the fields related to their major studies(hospital, clinic, health clinic, industrial companies related and military officers of medical technology, etc.), which fields arc predominant to 74.5% rather than non-related fields(enrols into 4 year colleges, etc.). 12. 85.2% of students, 87.5% of the faculty expressed their opinions that the present academic years of 2 should be lengthened more. 13. 90.7% of the faculty expressed their opinions that the present students quotas should be reduced in whole or in part.