• 한국초등과학교육학회지:초등과학교육
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• 제32권2호
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• pp.169-184
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• 2013

The purpose of this study is to investigate teachers' recognition and to suggest an improvement in the system of teacher's observation and nomination used to selecting gifted and talented students in Science in the Busan Metropolitan School District in 2013 by investigating teachers' recognition of the system and their expressed needs. The results are as follows. First, it was observed that teachers are of the opinion that it is difficult to determine the science gifted students by observation due to their lack of expertise in giftedness and gifted education, the lack of a check list to use, and the difficulty of ensuring the objectivity of the results of the determination. Second, the absence of objective screening tools used for the selection, the selection of gifted students based on their subjective judgment, and the possibility to select students based only on visible manifestations of ability may cause parents to mistrust the system. Thus, institutional support is required to address the concerns of teachers and parents. Third, the teachers who are in charge of observation, nomination, selection and determination need to be trained. After that, at least one of these teachers should be assigned in each school and training should operate continuously and systematically. Lastly, while these things are occurring, the process of observation and nomination of by teachers, which is the basis of pooling gifted students at the level of Busan Metropolitan School District, should be continued.

• 대한한방소아과학회지
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• 제19권2호
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• pp.243-253
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• 2005

Objective : In this study we aimed to· investigate the parental recognition on Herbal Medication. The result showed that parents concerned about the effect of Herbal Medication on liver function and gaining weight. Therefore, we had a retrospective study on the effect of Herbal Medicaion on liver function and gaining weight. Method : In parent's recognition study, we surveyed 354 parents of children who make a first visit to Department of Oriental Pediatrics in ${\bigcirc}{\bigcirc}$ Medical Center from 3 October to 2 November 2005. In retrospective study, we examined medical record of 22 children who visited to Department of Oriental Pediatrics in Kyunghee Medical Center from 30 September 2005 to 1 January 2005. Height, weight, BMI, body fat mass, body fat ratio, AST and ALT were estimated at two points; before and after Herbal Medicaion treatment. Result: The mean of expectation of parents on the efficacy of Herbal Medication was 75.14 on the VAS scale, which was interpreted as significantly high. The result showed the effect of Herbal Medicaion on liver function(48%) and gaining weight(53%) took the largest portion. When we observe the effect of Herbal Medication on Liver function, after Herbal Medication treatment we have slightly increased AST and slightly decreased ALT, but they were not statistically significant. Also we observe the effect of Herbal Medication on getting obesity after Herbal Medication treatment. The result showed that we have slightly decreased BMI, body fat mass, body fat ratio, but they were not statistical1y significant. Conclusion : Our report shows parents of children have high expectation and stand favorable on the efficacy of the Herbal Medication. We found that parents concerned the most about the effect of Herbal Medicaion on liver function and gaining weight. Our retrospective study showed that Herbal Medicaion treatment on children has relationship with neither liver function nor the degree of obesity.

• 대한인간공학회지
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• 제30권6호
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• pp.705-713
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• 2011

Objective: The aim of this study is to compare results of emotion recognition by several algorithms which classify three different emotional states(happiness, neutral, and surprise) using physiological features. Background: Recent emotion recognition studies have tried to detect human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 217 students participated in this experiment. While three kinds of emotional stimuli were presented to participants, ANS responses(EDA, SKT, ECG, RESP, and PPG) as physiological signals were measured in twice first one for 60 seconds as the baseline and 60 to 90 seconds during emotional states. The obtained signals from the session of the baseline and of the emotional states were equally analyzed for 30 seconds. Participants rated their own feelings to emotional stimuli on emotional assessment scale after presentation of emotional stimuli. The emotion classification was analyzed by Linear Discriminant Analysis(LDA, SPSS 15.0), Support Vector Machine (SVM), and Multilayer perceptron(MLP) using difference value which subtracts baseline from emotional state. Results: The emotional stimuli had 96% validity and 5.8 point efficiency on average. There were significant differences of ANS responses among three emotions by statistical analysis. The result of LDA showed that an accuracy of classification in three different emotions was 83.4%. And an accuracy of three emotions classification by SVM was 75.5% and 55.6% by MLP. Conclusion: This study confirmed that the three emotions can be better classified by LDA using various physiological features than SVM and MLP. Further study may need to get this result to get more stability and reliability, as comparing with the accuracy of emotions classification by using other algorithms. Application: This could help get better chances to recognize various human emotions by using physiological signals as well as be applied on human-computer interaction system for recognizing human emotions.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제21권8호
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• pp.531-536
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• 2015

음성인식은 HCI(Human Computer Interface)분야에서 가장 활발히 연구되고 있는 분야로 음성을 이용하여 디지털 디바이스를 제어하는 것을 목적으로 하고 있으며 마우스는 GUI 컴퓨터 환경에서 가장 널리 사용하는 장치로서 높은 보급률을 자랑하는 컴퓨터 주변기기 중의 하나이다. 본 논문은 스마트폰 환경에서 실시간 모음 음성 인식을 이용한 마우스 제어 방법에 관하여 제안한다. 구현 방법은 스마트폰에서 실시간으로 일정크기의 음성 신호를 입력 받아 핵심 음성 신호를 추출하고 MFCC(Mel Frequency Cepstral Coefficient)를 이용하여 특징을 추출하여 학습되어 있는 코드 북을 이용하여 양자화를 진행하고 HMM(Hidden Markov Model)을 이용하여 해당 모음 단어를 인식한다. 그리고 각 모음에 해당하는 마우스 명령어로 변환하여 화면상의 가상의 마우스를 제어한다. 최종적으로, 우리는 구현된 스마트폰의 앱을 가지고 데스크톱 PC의 화면상에서 다양한 마우스의 동작을 보여준다.

• 한국산업보건학회지
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• 제29권1호
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• pp.69-81
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• 2019

Objective: The purpose of this study was to find out what kind of change in death rate when job stress is solved by calculating job stress relieve coefficient. Methods: This study used the data of the fourth working condition survey. Regression analysis was used to determine the relationship between health effects recognition and Death rate per 10,000 workers. After that the recognizing and non - recognizing groups were categorized by health effects recognition, and the differences between the two groups were confirmed by cross tabulation analysis. Results: Regress analysis P-value is 0.011 and $R^2$ is 0.979. Death rate per 10,000 worker increased with the increase in the number of non - health impact recognizing group. The relieve factors were (1) work culture(2.859) (2) physical environment(2.184), (3) improper reward (1,839), (4) relationship conflict(1.646), (5) job requirement(1.613), (6) job autonomy(1.354), (7) job instability(1.334), And (8) organizational system(1.201). The higher the relieve coefficient is, the higher the probability of belonging to the non - health impact recognizing group when there is no job stress factor. Conclusions: When job stress is resolved, there is a high probability that the health impact recognition is reduced, which can lead to an increase in death rate. but according to previous studies, Job stress can cause accidents by reducing the safety behavior of accidents. The job stress management plan should simultaneously consider reducing job stress and increasing health impact recognition.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.1100-1118
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• 2021

In a wide range of ML applications, the training data contains privacy-sensitive information that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML model inherent to the data. As the structure of the model has been fine-tuned by training data, the model can be abused for accessing the data by the estimation in a reverse process called model inversion attack (MIA). Although, MIA has been applied to shallow neural network models of recognizers in literature and its threat in privacy violation has been approved, in the case of a deep learning (DL) model, its efficiency was under question. It was due to the complexity of a DL model structure, big number of DL model parameters, the huge size of training data, big number of registered users to a DL model and thereof big number of class labels. This research work first analyses the possibility of MIA on a deep learning model of a recognition system, namely a face recognizer. Second, despite the conventional MIA under the white box scenario of having partial access to the users' non-sensitive information in addition to the model structure, the MIA is implemented on a deep face recognition system by just having the model structure and parameters but not any user information. In this aspect, it is under a semi-white box scenario or in other words a gray-box scenario. The experimental results in targeting five registered users of a CNN-based face recognition system approve the possibility of regeneration of users' face images even for a deep model by MIA under a gray box scenario. Although, for some images the evaluation recognition score is low and the generated images are not easily recognizable, but for some other images the score is high and facial features of the targeted identities are observable. The objective and subjective evaluations demonstrate that privacy cyber-attack by MIA on a deep recognition system not only is feasible but also is a serious threat with increasing alert state in the future as there is considerable potential for integration more advanced ML techniques to MIA.

• 한국식품조리과학회지
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• 제25권4호
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• pp.506-512
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• 2009

The principal objective of this study is to determine the most appropriate methods to increase global recognition of Korean food. In service of this objective, interviews were conducted with Korean food specialists who worked for a Korean culinary educational institute in Seoul, as well as cooking experts who worked for restaurants in super deluxe hotels. The study was conducted for 10 days from Feb $21^{st}$ to March $2^{nd}$ in 2009. The results of the study were summarized and synthesized into some key opinions. First, one of the main concepts in Korean culinary education should involve the selection of a small group of the best members and training them to a world class level at a traditional HanOk style institute. Second, to establish a standard for trainee recruitment, we selected a group of members consisting of about 20 persons over the age of 18 years who had earned a degree or were scheduled to graduate from university chef training and had also worked for over 5 years in the field, additionally, foreigners were allowed to apply to the institute. The educational term is one year and some benefits, such as a fixed amount of subsidies to help in daily living, free dormitory housing a certificate of course completion, and an employment guarantee. Third, the educational program consisted of two stages one was the specialist course in which traditional foods were covered and the other was the menu development course, which dealt with the creation of new Korean foods. Fourth, unique programs, including specialized foreign foods experience halls or commission education, were instituted in an effort to raise the level of world recognition of the superiority of Korean food.

• International Journal of Computer Science & Network Security
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• 제24권6호
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• pp.161-170
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• 2024

With the technological advances, the humans have made so much progress in the ease of living and now incorporating the use of sight, motion, sound, speech etc. for various application and software controls. In this paper, we have explored the project in which gestures plays a very significant role in the project. The topic of gesture control which has been researched a lot and is just getting evolved every day. We see the usage of computer vision in this project. The main objective that we achieved in this project is controlling the computer settings with hand gestures using computer vision. In this project we are creating a module which acts a volume controlling program in which we use hand gestures to control the computer system volume. We have included the use of OpenCV. This module is used in the implementation of hand gestures in computer controls. The module in execution uses the web camera of the computer to record the images or videos and then processes them to find the needed information and then based on the input, performs the action on the volume settings if that computer. The program has the functionality of increasing and decreasing the volume of the computer. The setup needed for the program execution is a web camera to record the input images and videos which will be given by the user. The program will perform gesture recognition with the help of OpenCV and python and its libraries and them it will recognize or identify the specified human gestures and use them to perform or carry out the changes in the device setting. The objective is to adjust the volume of a computer device without the need for physical interaction using a mouse or keyboard. OpenCV, a widely utilized tool for image processing and computer vision applications in this domain, enjoys extensive popularity. The OpenCV community consists of over 47,000 individuals, and as of a survey conducted in 2020, the estimated number of downloads exceeds 18 million.

• 한국ITS학회 논문지
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• 제11권2호
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• pp.67-76
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• 2012

본 연구에서는 본 학회지(제9권, 제5호 (2010년 10월))에서 발표한 교통약자보호시스템이 설치되어 있는 지역에 대한 어린이 지킴이 서비스 만족도 평가기준을 단순한 보호자 만족도 평가에서 벗어나 객관적인 구축평가 기준으로 정립하였다. 또한, 인식장치를 신규배치하기 위한 지역에 대해서는 사전 예측평가를 실시하여 인식장치 적정배치에 판단근거로 삼아 효율적 예산집행이 가능하도록 하였다. 시스템 구축평가에서는 가장 기본이 되는 최대 안심 거리는 72.2m로 나타났다. 이를 토대로 위험도개념을 도입하여 심리적위험도와 사고위험도를 종합한 위험도 순위에 따라 인식장치를 인식장치 배기거리에 맞게 배치하는 방식으로 향후 사업이 진행될 수 있도록 평가기준을 제시하였다. 평가기준에 의거 사례지역에 대한 종합위험도 평가결과 시범사업 후 종합위험도가 35.2% 감소한 것으로 평가되었다. 또한, 예산 규모 내에서 인식장치를 배치기준에 의해 설치할 경우 전체적으로 위험도가 33.1% 낮아져 예산규모는 당초 시범사업보다 21.9% 적게 투입하고도 종합위험도는 당초 시범사업의 94% 수준까지 낮출 수 있어 본 연구에서 정립한 위험도에 따른 인식장치 배치방법이 종합위험도 감소와 예산절감에 향후 효과적으로 적용될 수 있음을 알 수 있었다.

• Maxillofacial Plastic and Reconstructive Surgery
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• 제35권3호
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• pp.167-173
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• 2013

Purpose: The aim of this study is to analyze the series of panoramic radiograph of implant patients using the system to measure peri-implant crestal bone loss according to the elapsed time from fixture installation time to more than three years. Methods: Choose 10 patients having 45 implant fixtures installed, which have series of panoramic radiograph in the period to be analyzed by the system. Then, calculated the crestal bone depth and statistics and selected the implant in concerned by clicking the implant of image shown on the monitor by the implemented pattern recognition system. Then, the system recognized the x, y coordination of the implant and peri-implant alveolar crest, and calculated the distance between the approximated line of implant fixture and alveolar crest. By applying pattern recognition to periodic panoramic radiographs, we attained the results and made a comparison with the results of preceded articles concerning peri-implant marginal bone loss. Analyzing peri-implant crestal bone loss in a regression analysis periodic filmed panoramic radiograph, logarithmic approximation had highest $R^2$ value, and the equation is as shown below. $y=0.245Logx{\pm}0.42$, $R^2=0.53$, unit: month (x), mm (y) Results: Panoramic radiograph is a more wide-scoped view compared with the periapical radiograph in the same resolution. Therefore, there was not enough information in the radiograph in local area. Anterior portion of many radiographs was out of the focal trough and blurred precluding the accurate recognition by the system, and many implants were overlapped with the adjacent structures, in which the alveolar crest was impossible to find. Conclusion: Considering the earlier objective and error, we expect better results from an analysis of periapical radiograph than panoramic radiograph. Implementing additional function, we expect high extensibility of pattern recognition system as a diagnostic tool to evaluate implant-bone integration, calculate length from fixture to inferior alveolar nerve, and from fixture to base of the maxillary sinus.