• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.157-167
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• 2022

This study attempted to investigate what kind of perception people in their 20s have about masks and to find out the characteristics of each type by categorizing the perception. The Q methodology was used for the study. The cognition types of masks were categorized into three. Type 1 was a 'always wear impact-important type' that always wears masks and thinks masks affect non-verbal communication and the wearer's image. Type 2 was a 'function-important negative recognition type' that wears masks to prevent germs and thinks that masks have a great negative impact. Type 3 was a 'concealment wear positive image type' that wears a mask to cover the face and thinks that a person looks young when wearing a mask. It is thought that the development of masks of various designs and functions reflecting the needs of consumers should be carried out. Also, it is thought that various products should be developed and sold so that consumers can choose according to important considerations such as design, fit, and function.

• Journal of the Korean Society of Radiology
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• v.17 no.1
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• pp.63-69
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• 2023

In head and neck radiation therapy, the thermoplastic immobilization mask used for fixing the patient's posture and reproducibility causes scattered rays by being in close contact with the skin. To investigate the increase in skin dose due to the scattered rays generated from the immobilization mask, we evaluated dose reduction by decreasing contact between face skin and immobilization mask in computerized radiotherapy planning system with CT scanned images. In addition, to confirm the reproducibility problem of the setup due to the decrease in the cover area of immobilizing, the difference of each setup was confirmed using DRR and CT images. As the mask area covered for immobilizing was reduced, the dose on the skin surface significantly decreased, and it was confirmed that there was no significant difference in reproducibility even if the entire face was not covered and fixed.

• Journal of Platform Technology
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• v.11 no.3
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• pp.56-67
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• 2023

Recently, de-identification of personal information, which has been a long-cherished desire of the data-based industry, was revised and specified in August 2020. It became the foundation for activating data called crude oil[2] in the fourth industrial era in the industrial field. However, some people are concerned about the infringement of the basic rights of the data subject[3]. Accordingly, a development study was conducted on the Batch De-Identification Tool, a personal information de-identification automation tool. In this study, first, we developed an image labeling tool to label human faces (eyes, nose, mouth) and car license plates of various resolutions to build data for training. Second, an object recognition model was trained to run the object recognition module to perform de-identification of personal information. The automated personal information de-identification tool developed as a result of this research shows the possibility of proactively eliminating privacy violations through online services. These results suggest possibilities for data-based industries to maximize the value of data while balancing privacy and utilization.

• Cartoon and Animation Studies
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• s.36
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• pp.669-702
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• 2014

Today, in Korean modern fine arts, 'cartoon images' are utilized for their roles of the 'personas' of the artists, and as the 'texts' for the artistic discourses, while they play a role as a bridgehead between the public and art. In this study, we made a study, focusing on 'Atomouse' of Lee Dong-gi, in order to examine how the borrowing of the 'cartoon images' was made in the Korean modern fine arts, and what its period context is. 'Atomouse' of Lee Dong-gi is the first cartoon character that appeared in Korean modern fine arts, and it has acquired a symbolism of a subculture being acknowledged as art. In this study, we tried to find out what period contexts the changes of 'Atomouse' have, focusing on the private exhibitions of Lee Dong-gi, such as 'Smoking' Exhibition (2006), 'Bubble' Exhibition (2008), 'Double Vision' Exhibition (2008), 'The Garden of Uncertainty' Exhibition (2012) and 'Do Not Look Back with Angry Face' Exhibition (2013). Atomouse was born in the era of 'lack of pop' a change was attempted of it in the era of 'excess of pop' and its proceeding ended along with the 'settlement of the neo-pop'. From Atomouse started from the unconsciousness of the artist, we can find the 'identity' of the Republic of Korea, which was being influenced by the 'American and Japanese' culture, as well as the symbolism of a subculture being acknowledged as art, while it emerged as an icon to represent the Korean pop art of the time. Then, as the agony and self-examination of the artist was contained in it, its use was changed into the role as a persona and it was utilized as a tool to connect the and figurative worlds. In the end, the artist put an end to the proceeding of the 'Atomouse' at the boundaries of a persona and an alter ego, removing the creation with his own hands. In the process in which Lee Dong-gi created and changed 'Atomouse', the start-up and growth of the pop art are included in the history of the Korean modern fine arts, apart from a study of an artist. 'Atomouse' was not only painted on the walls of the subway stations in the form of public art, but it tried to closely communicate with the public through the collaboration with diverse media. It made the best use of the 'marketability' which a 'cartoon character' had at first, so that pure art was made a step closer to the public. So 'Atomouse' of Lee Dong-gi not only raised a subculture into the realm of high art, but lowered the door sill to high art. Through the study we could confirm what position 'Atomouse' of Lee Dong-gi, which started absurdly between parody and Hommage, takes in Korean modern art of today.

• Journal of Distribution Science
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• v.10 no.4
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• pp.47-53
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• 2012

Businesses make use of advertising strategy using models to give consumers efficient product information. Modern advertisements often make use of models for greater reminiscence to create messages and remind viewers of the product. The purpose of this study was to examine the characteristics of each type of model. The subjects were 230 college students in their twenties or older, and the material was collected from October 20, 2011 to November 5, 2011 to examine the effects of model characteristics on buying intention as well as attitude toward a brand. A questionnaire survey was used; investigators gave one copy to each interviewee. The study investigated the characteristics of each model using a questionnaire of each 40 copies with five kinds of photographs. The characteristics of models had great influence on buying intention and attitude toward the brand: First, factor 2 (being honest and virtuous and having good credit and a good press assessment) and factor 3 (being interesting and a good communicator and creating good memories) had great influence on buying intention. Factor 2 was explained by reliability, and factor 3 by the efficiency of the model in creating a feeling. Second, factors 1 (being attractive, smart, unique, friendly, loved by others, and popular), 2, and 3 influenced attitude toward brand. Factor 1 encapsulated the outgoing characteristics of a model, factor 2 was based on reliability, and factor 3 was based on the efficiency of the model in creating a feeling. The model's positive effects on buying intention and attitudes toward brand shall be examined. For their positive influence on buying intention, reliability and efficiency shall be given attention. For their positive influence on attitude toward brand, creating a good impression, having outgoing characteristics, being reliable, and efficiency shall be given attention. The findings were as follows: Model characteristics influencing buying intention were similar to those influencing attitude toward brand. The differences were as follows. First, reliability and efficiency influenced buying intention. When customers were asked to consider the influence on buying intention of an advertisement, regardless of the strength of the buying intention, they considered these two characteristics. Customers decided to buy based not only on the credibility of the product as presented in the advertisement but also the transmission of the contents of the advertisement. Second, outgoing characteristics, reliability, and efficiency influenced attitude toward a brand. The attitude toward a brand was said to be the attitude toward the business. The attitude is produced even after buying, so businesses view it as very important. The attitude might vary depending upon the model used rather than the brand. Therefore, a model with outgoing characteristics was thought to be important. Therefore, attitude toward a brand whose model influenced buying intention as well as attitude toward brand had outgoing characteristics. The result is that an image the model was related to attitude toward the brand. As such, customers would buy the goods advertised. However, an outgoing image of a model was also important to create a positive attitude toward a business brand. For instance, talent Park Gyeong-Rim's photo was used to promote cosmetics about 10 years ago. When she worked as a model of cosmetics products, she had to make compensation for losses and damages because she made a mistake on a talk show program. At that time, customers who had bought the cosmetics product asked for refunds of several billion won. As such, models who are said to be the face of the businesses they represent can play an important role. To advertise in the most attractive and effective way, the current image of a model should be investigated by examining current activities and news articles after selecting the model, and the model's efficiency and attitude toward the brand should be examined. Factors that stimulate customers' buying decisions can be used to plan advertisement that have positive influence on a brand. This study had the limitation of investigating mainly college students and there were insufficient copies of the questionnaire. The investigation was not done widely but in detail so that a concrete investigation could not be done. Further studies shall supplement these shortcomings and discuss new directions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.446-452
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• 2020

As the use of children's school buses increases, accidents caused by the negligence of school bus drivers and ride carers have also increased significantly. To prevent such accidents, the government is coming up with various policies. We propose an accident prevention and safety management system for children's school buses. Through this system, bus drivers can easily check whether each child is seated and whether the seat belt is used, so it is possible to quickly respond to children's conditions while driving. With the ability to recognize faces by analyzing camera images, children can use a seat belt that is automatically adjusted to their height. It is therefore possible to prevent secondary injuries that may occur in the event of a traffic accident. In addition, a sleeping child-check system is provided to confirm that all children get off the bus, and a text service is provided to inform parents of their children's locations in real time. Based on Raspberry Pi, the system is implemented with cameras, pressure sensors, motors, Bluetooth modules, and so on. This proposed system was attached to a bus model to confirm that the series of functions work correctly.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.12
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• pp.1150-1158
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• 2010

In this study, the Polynomial-based Radial Basis Function Neural Networks is proposed as one of the recognition part of overall face recognition system that consists of two parts such as the preprocessing part and recognition part. The design methodology and procedure of the proposed pRBFNNs are presented to obtain the solution to high-dimensional pattern recognition problem. First, in preprocessing part, we use a CCD camera to obtain a picture frame in real-time. By using histogram equalization method, we can partially enhance the distorted image influenced by natural as well as artificial illumination. We use an AdaBoost algorithm proposed by Viola and Jones, which is exploited for the detection of facial image area between face and non-facial image area. As the feature extraction algorithm, PCA method is used. In this study, the PCA method, which is a feature extraction algorithm, is used to carry out the dimension reduction of facial image area formed by high-dimensional information. Secondly, we use pRBFNNs to identify the ID by recognizing unique pattern of each person. The proposed pRBFNNs architecture consists of three functional modules such as the condition part, the conclusion part, and the inference part as fuzzy rules formed in 'If-then' format. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of pRBFNNs is represented as three kinds of polynomials such as constant, linear, and quadratic. Coefficients of connection weight identified with back-propagation using gradient descent method. The output of pRBFNNs model is obtained by fuzzy inference method in the inference part of fuzzy rules. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of the Particle Swarm Optimization. The proposed pRBFNNs are applied to real-time face recognition system and then demonstrated from the viewpoint of output performance and recognition rate.

• Journal of the HCI Society of Korea
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• v.1 no.2
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• pp.43-50
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• 2006

A mirror is a familiar tool for human beings who have been seeing themselves through it for a long time since it was created. As evolving Digital Technology, many approaches about digital mirrors which reflect not only the light, but also the information have been studied. Traditional mirrors on the wall do not need any special control to perform their automatic visual feedbacks, reflecting lights. On the contrary, digital mirrors can actively provide more information to the user than the traditional ones. In this paper, we propose an active digital mirror system of which functions are changed according to the user-mirror distance. First of all, we investigated users' behaviors on mirrors and categorized the interactions by user-mirror distance. Based on the previous result, we designed the user interface of the mirror, and developed a prototype which has three recognition modules: a distance measuring module using infrared sensor arrays, a user recognition module by computer vision technique, and a control perception module using infrared sensor grid. In addition, the next steps for improving the user-centered digital mirror system, and the possibility for developing a mirror-shaped computer system were suggested.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.4 s.310
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• pp.46-54
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• 2006

Recently, the important of a personal identification is increasing according to expansion using each on-line commercial transaction and personal ID-card. Although a personal ID-card embedded RFID(Radio Frequency Identification) tag is gradually increased, the way for a person's identification is deficiency. So we need automatic methods. Because RFID tag is vary small storage capacity of memory, it needs effective feature extraction method to store personal biometrics information. We need new recognition method to compare each feature. In this paper, we studied the face verification system using Hippocampal neuron modeling algorithm which can remodel the hippocampal neuron as a principle of a man's brain in engineering, then it can learn the feature vector of the face images very fast. and construct the optimized feature each image. The system is composed of two parts mainly. One is feature extraction using NMF(Non-negative Matrix Factorization) and LDA(Linear Discriminants Analysis) mixture algorithm and the other is hippocampal neuron modeling and recognition simulation experiments confirm the each recognition rate, that are face changes, pose changes and low-level quality image. The results of experiments, we can compare a feature extraction and learning method proposed in this paper of any other methods, and we can confirm that the proposed method is superior to the existing method.

• 한국노년학
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• v.37 no.2
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• pp.475-496
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• 2017

Increasing evidence shows that ageist attitudes towards older adults develop quite early in childhood in Western culture, yet, empirical research on this topic in Korea is lacking. It has been argued that as Korea has become more youth oriented, negative views of aging have emerged and Korean children are increasingly exposured to negative stereotypes of older adults. Nuclearization of family structure and consequent reduction of intergenerational interaction is considered to be another important factor. The purpose of this study is to find out whether Korean children have ageist attitudes. Acknowledging the possibility that children tend to report in socially appropriate ways to the explicit measures of ageism, we included implicit measures of ageism. Data was collected from 570 fourth to sixth grade elementary school children selected by quota sampling. The current study used Child-Age Implicit Association Test and two other explicit measurements. The original versions were modified to be culturally applicable to the Korean context. Results indicated that when measured explicitly, children do not report preferring younger person than older person. However when measured implicitly, it was found that children at this young age already reveal negative biases toward the elderly. Contrast to the fact that the level of explicit ageism is significantly different by demographic characteristics of children, no statistical difference in the level of implicit ageism is detected. Based on the results, implications are discussed.