• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.176-188
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• 2022

In this paper, we propose a compact method for anthropomorphism that uses Deep Convolutional Neural Networks (DCNN) to detect the similarities between a human face and an animal face. We also apply texture feature-based morphing between them. We propose a basic texture feature-based morphing system for morphing between human faces only. The entire anthropomorphism process starts with the creation of an animal face classifier using a parallel DCNN that determines the most similar animal face to a given human face. The significance of our network is that it contains four sets of convolutional functions that run in parallel, allowing it to extract more features than a linear DCNN network. Our employed texture feature algorithm-based automatic morphing system recognizes the facial features of the human face and takes the Control Points automatically, rather than the traditional human aiding manual morphing system, once the similarity was established. The simulation results show that our suggested DCNN surpasses its competitors with a 92.0% accuracy rate. It also ensures that the most similar animal classes are found, and the texture-based morphing technology automatically completes the morphing process, ensuring a smooth transition from one image to another.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.290-293
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• 2021

In this paper, we implement a learning efficiency verification system to inspire learning motivation and help improve concentration by detecting the situation of the user studying. To this aim, data on learning attitude and concentration are measured by extracting the movement of the user's face or body through a real-time camera. The Jetson board was used to implement the real-time embedded system, and a convolutional neural network (CNN) was implemented for image recognition. After detecting the feature part of the object using a CNN, motion detection is performed. The captured image is shown in a GUI written in PYQT5, and data is collected by sending push messages when each of the actions is obstructed. In addition, each function can be executed on the main screen made with the GUI, and functions such as a statistical graph that calculates the collected data, To do list, and white noise are performed. Through learning efficiency checking system, various functions including data collection and analysis of targets were provided to users.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.659-662
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• 2021

국내에서는 매년 많은 수의 자격시험이 치러지고 있다. 현재 대부분의 시험장에서 응시자 본인 확인 절차는 감독관이 응시자의 얼굴과 신분증 사진을 비교하는 방식으로 이루어진다. 하지만 이 방식은 사람에 따라 오차가 클 수 있으며, 사진과 눈에 띄는 차이가 없으면 동일인물로 판단하기 쉽다. 최근까지도 대리응시 이슈가 발생하고 있어 근절을 위한 보다 강력한 조치가 필요하다. 본 논문에서는 지문과 오토인코더, SGAN을 이용하여 대리응시방지를 강화할 수 있는 본인 확인 시스템을 제안한다. 이때 응시자의 지문정보가 그대로 인증 서버에 저장되면 응시자의 생체정보가 노출될 수 있다는 문제점이 존재한다. 따라서 오토인코더를 통해 지문의 특징점만 추출하여 인증용 이미지를 생성하고 이 이미지를 서버에 저장하여 학습시키도록 한다. 적은 학습데이터 환경에서 분류기로써 좋은 성능을 갖는 SGAN을 통해 인증 이미지와 응시자가 동일인물인지 확인할 수 있다. 서버가 공격을 받더라도 응시자의 지문데이터가 그대로 노출되지 않게 되어 보안 취약점을 극복할 수 있다.

• Journal of Service Research and Studies
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• v.14 no.1
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• pp.13-26
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• 2024

Multi-modal generation is the process of generating results based on a variety of information, such as text, images, and audio. With the rapid development of AI technology, there is a growing number of multi-modal based systems that synthesize different types of data to produce results. In this paper, we present an AI system that uses speech and text recognition to describe a person and generate a montage image. While the existing montage generation technology is based on the appearance of Westerners, the montage generation system developed in this paper learns a model based on Korean facial features. Therefore, it is possible to create more accurate and effective Korean montage images based on multi-modal voice and text specific to Korean. Since the developed montage generation app can be utilized as a draft montage, it can dramatically reduce the manual labor of existing montage production personnel. For this purpose, we utilized persona-based virtual person montage data provided by the AI-Hub of the National Information Society Agency. AI-Hub is an AI integration platform aimed at providing a one-stop service by building artificial intelligence learning data necessary for the development of AI technology and services. The image generation system was implemented using VQGAN, a deep learning model used to generate high-resolution images, and the KoDALLE model, a Korean-based image generation model. It can be confirmed that the learned AI model creates a montage image of a face that is very similar to what was described using voice and text. To verify the practicality of the developed montage generation app, 10 testers used it and more than 70% responded that they were satisfied. The montage generator can be used in various fields, such as criminal detection, to describe and image facial features.

• Journal of the korean academy of Pediatric Dentistry
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• v.26 no.3
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• pp.486-491
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• 1999

Hypoparathyroidism has abnormally decreased secretion of parathyroid hormon which responds to the blood calcium level. Wherease, Pseudohypoparathyroidism has normal activity of thyroid hormon, but end-organs, such as urinary tract and osteoclast, do not respond to parathyroid hormon. The cause of this disease is due to the mutation of Guanine stimulating(Gs) protein regulating Gs gene, which is the receptor to this hormon. Pseudohypoparathyroidism is usually noted before 20 years old on average of 8-9 years old. The clinical features of this disease includes delayed growth and development, round face, obesity, soft tissue calcification, ectopic ossification, shortening of metacarpals and metatarsals by epiphyseal closure in advance of age. The mutation of Gs gene which are found in brain, endocrine organs, and chondrocytes is the cause of those features. Reaction to Glucagon, gonadal hormon, and thyroid stimulating hormon is not expected in both cases. The common dental manifestations include enamel hypoplasia, delayed eruption, agenesis of tooth, hypodontia, dysplastic short roots, widened pulpal space, microdontia, intrapulpal calcification, and malocclusion are also often reported. This case which is diagnosed to Pseudohypoparathyroidism showed short and under-developed root of permanent troth, delayed eruption, and non-eruption of premolars and molars. And morphogenesis imperfecta of first and second premolars were also found.

• The korean journal of orthodontics
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• v.30 no.6 s.83
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• pp.699-712
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• 2000

Reduced nasal breathing can influence the growth at)d development of facial structures. It nay have many causes, and enlarged adenoid is the most frequent one. To investigate the effects of adenoids to jaw growth, we must first understand the normal growth of adenoids and jaws, and the relationship between size of adenoids and the values lot the jaw variables. The purpose of this study is to present a more objective standard of nasopharyngeal size and jaw dimension at each bone age, by using Cervical Vertebrae Maturation Index(CYMI) of Hassel, from normal occlusion children aged 6 to 17. The results of this study suggests as follows : 1. At same bone age, female's chronologic age was about 2 year older than male. 2. There was a growth peak of nasopharyngeal(NP) height and depth between CVMI 1 to 2 in male, hut in female NP height and depth gradually increase through CVMI 1 to 6. 3. Relative airway of nasopharynx increases the most between CVMI 1 to 2 period in both gender 4. Among adenoid measurements, Ad2-related variables and upper pharynx, and among dentofacial measurements inter canine width in both arch, maxillary intermolar width and palatal depth had high correlation coefficient with adenoid percentage.

• Korean Journal of Childcare and Education
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• v.10 no.6
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• pp.291-311
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• 2014

This research is to understand young children ontologically by examining features of young children in the picture books for the early childhood. For the purpose, under the consultation with a picture book specialist and three level process of selection, 4 picture books were chosen as analytic objects. The study questions is as follows. What is ontological understandings on young children throughout picture books for the early childhood? Under this purpose the books chosen were John Burningham's , David Wiesner's , Hina Back's , Peter Sis's . The books went through dramaturgical coding and were thematised based on the theories of ontological phenomenology. Study results show that young child-being appearing in the picture-books are thematised as 'multi layered being with Ntwurf and Geworfenheit(Aldo)', 'responsible being risen above greed(Plotsam)', 'reflective being on face of others(Fairy of Jangsutang)', 'being who encourages educational response of adults.(Madlenka's Dog)' These results revealed that young child-being have features not different from (multi layered aspect of being), unique from(encouraging educational response), and beyond adult-being(responsibility and response towards others). Despite several limitations, this study helped understand the young children ontologically by revealing that they, not only as developmental beings with imperfection, dependence, and immaturity but as multi layered and requesting, responsible being, having the same features as adults and, at times, rise above adult-being.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.1-6
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• 2019

As mobile technologies such as Internet of Things (IoT)-based smart homes and financial technologies (FinTech) are developed, authentication by smart devices is used everywhere. As a result, presence-based biometric authentication using smart devices has become a new mainstream in knowledge-based authentication methods like the existing passwords. The electrocardiogram (ECG) is less prone to forgery, and high-level personal identification is its unique feature from among various biometric authentication methods, such as the pulse, fingerprints, the face, and the iris. Biometric authentication using an ECG is receiving a great deal of attention due to its uses in healthcare and FinTech. In this study, we implemented an ECG authentication system that allows users to easily measure and authenticate their ECG waveforms using a miniaturized wearable device, rather than a large and expensive measurement device. The implemented ECG authentication system identifies ECG features through P-Q-R-S-T feature point identification, and was user-certified under the proposed authentication protocols. Finally, assessment of measurements in a majority of adult males showed a relatively low false acceptance rate of 1.73%, and a low false rejection rate of 4.14%, in a stable normal state. In a high-activity state, the false acceptance rate was 13.72%, and the false rejection rate was 21.68%. In a high-heart rate state, the false acceptance rate was 10.48%, and the false rejection rate was 11.21%.

• (The) Research of the performance art and culture
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• no.37
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• pp.327-363
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• 2018

Bhutan's mask dance drama, Cham is performed in the festival of Tshechu. Originating from the 17th century, Tschechu is a religious ritual as well as a traditional festival held to commemorate the birth of Padmasambhava, who spread Buddhism in the kingdom of Bhutan. Bhutanese Cham and Tibetan Cham share similar traits in their content of , , and in their characters of Pawo and Pamo. Meanwhile, , , , , , , , are distinctive performances of Bhutanese cham. Moreover, the clown character Atsara in Bhutanese cham is a character that does not appear in the Tibetan Cham. Atsara, a humorous character, can be identified by its use of a long phallus ornament on the head or by a distorted face mask with a phallus in its hand. Bhutanese Cham, originally from Tibet, is a religious mask dance drama handed down in Lamaism temples. In later generations, new performances reflective of Bhutan's history, myth, legends, and religion were added in large amount. Thus, the Cham of Bhutan now has very independent and characteristic aspects.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.10
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• pp.63-70
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• 2018

Biomedical signal measurement technology using images has been developed, and researches on respiration signal measurement technology for maintaining life have been continuously carried out. The existing technology measured respiratory signals through a thermal imaging camera that measures heat emitted from a person's body. In addition, research was conducted to measure respiration rate by analyzing human chest movement in real time. However, the image processing using the infrared thermal image may be difficult to detect the respiratory organ due to the external environmental factors (temperature change, noise, etc.), and thus the accuracy of the measurement of the respiration rate is low.In this study, the images were acquired using visible light and infrared thermal camera to enhance the area of the respiratory tract. Then, based on the two images, features of the respiratory tract region are extracted through processes such as face recognition and image matching. The pattern of the respiratory signal is classified through the k-nearest neighbor classifier, which is one of the statistical classification methods. The respiration rate was calculated according to the characteristics of the classified patterns and the possibility of breathing rate measurement was verified by analyzing the measured respiration rate with the actual respiration rate.