• Proceedings of the KSR Conference
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• 2008.11b
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• pp.352-357
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• 2008

Using the artificial sun, namely the BIOSUN, we can control the sun light according to the latitude and longitude and for the seasonal changes and apply that to subway stations. By doing this, we can expect three effects, a. allowing the plants to grow inside the stations which will in turn contribute to improving air purity, controlling humidity, and reducing dust for pleasant environment, b. pleasant environment will foster positive emotional responses of the passengers and that would increase the satisfaction, and c. fostering good service for the citizenry and establishing an environmental friendly image of the Seoul Metro Subway System. The purpose of this thesis paper is to contemplate on the uses of the artificial sun powered by the microprocessor of a Light Emitting Diode (LED) in controlling the light and how the light can be utilized in facilitating photosynthesis that would allow plants to grow inside subway stations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.197-200
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• 2014

This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing risk situation. The proposed method firstly extracts the facial region from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, discriminates facial expression, and recognizes risk situation. The proposed method is evaluated for Cohn-Kanade database image. The proposed method produces good results of facial expression and discriminates risk situation well.

• Journal of the Semiconductor & Display Technology
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• v.19 no.4
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• pp.65-70
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• 2020

CNN's technologies that represent emotional detection include primitive CNN algorithms, deployment normalization, and drop-off. We present the methods and data of the three experiments in this paper. The training database and the test database are set up differently. The first experiment is to extract emotions using Batch Normalization, which complemented the shortcomings of distribution. The second experiment is to extract emotions using Dropout, which is used for rapid computation. The third experiment uses CNN using convolution and maxpooling. All three results show a low detection rate, To supplement these problems, We will develop a deep learning algorithm using feature extraction method specialized in image processing field.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.61-68
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• 2021

The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.215-220
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• 2022

Emotion recognition is one of the most important and challenging areas of computer vision. Nowadays, many studies on emotion recognition were conducted and the performance of models is also improving. but, more research is needed on emotion recognition and sentiment analysis of video viewers. In this paper, we propose an emotion analysis system the includes a sentiment analysis model and an interest prediction model. We analyzed the emotional patterns of people watching popular and unpopular videos and predicted the level of interest using the emotion analysis system. Experimental results showed that certain emotions were strongly related to the popularity of videos and the interest prediction model had high accuracy in predicting the level of interest.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1261-1264
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• 2022

최근 본인에게 어울리는 색상을 배경으로 촬영하는 감성 증명사진이 유행하고 있다. 개인마다 퍼스널 컬러를 찾아 배경색에 적용하는 것은 시간, 비용, 인력적으로 어려움이 있으므로 자동으로 개인에 따른 배경색을 찾아서 사진을 합성하여 감성 증명사진을 제작해 주는 딥러닝 기반 시스템을 구축하였다. 본 논문에서는 Convolution Neural Network 를 기반으로 한 딥러닝 기술을 이용해 Image Matting 과 Multi-Label Classification 을 수행하여 기존 감성 증명사진들을 학습하여 모델을 구축하였으며, 해당 시스템으로 사용자에게 새로운 배경색이 적용된 감성 증명사진을 제공하는 웹 애플리케이션을 제안한다.

• Science of Emotion and Sensibility
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• v.9 no.1
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• pp.63-75
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• 2006

This is a basic research aimed at enhancing a brand image by unifying color images of a brand at both online and offline stores. h survey was conducted on color images of online and offline stores to measure the level of consistency between consumers' perception of the color image and the brand's color strategy. A brand preference survey was also performed to shed light on the relationship between the brand preference and the consistency of color images at online and offline stores. This study is committed to building an effective color strategy, based on the brand strategy, through web color planning that is consistent with the offline color image. This paper started with a specific purpose of devising solutions in regard to the prior study, entitled 'Study on Color Strategies in Brand Coffee', which recognizes the need for consistent color images, or integrated color strategies, in online and offline stores. I specifically took the approach of looking at color planning in the stage of designing a website. Two standards were used to analyze emotional and functional aspects of color images: color grading by I.R.I and five communicators of color information by Rouge. Direct visits were made to the offline stores for surveys to address the shortcomings of the prior study, in which offline stimuli were limited to printed materials. The direct visits enabled a study of an overall color image of the offline stores, while providing a set of substantial and specific guidelines for designing colors for a website. I hope this study goes a long way toward enhancing the level of consistency between online and offline color images based on the brand's unique color strategy, and thereby improving the overall level of brand image.

• Journal of Christian Education in Korea
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• v.67
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• pp.77-116
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• 2021

The purpose of this study is to argue that religious maturity is necessary for the healthy life of the aged of Korean churches in the rapidly aging society. It is also to suggest educational method for the formation and development of a positive image of God for relations with God, which is essential factor in religious maturity. To this end, this study argues that the direction and task of senior education should be religious maturity through the search for prior research on church education of senior citizens. This study also looked at the variables involved in how religious maturity affects many areas of human life. To achieve the task of religious maturity, the biblical and theological concept of maturity and religious psychological concepts of maturity are summarized, and the concept of God's image for relations with God, which is important in religious maturity, and the variables related to mature human life are examined. This study was proposed methods of church education for the formation and development of a positive image of God in order to have the right relationship with God for the religious maturity of the elderly on intellectual, emotional and behavioral levels. In the intellectual aspect, it was proposed to educate the concept of biblical and theological God and and to educate the elderly to recognize themselves as beings that need to grow and mature in order to constantly establish relationships with God. In the affective aspect, it was proposed to educate the elderly to reflect on and identify the origin and formation process of God's image and to heal their distorted God's image with an educational counseling approach. In the behavioral aspect, it was suggested to educate their roles of faith education for the next generation as parents and grandparents and to educate using educational methods that induce them to practice their relationship with God to appear in daily life.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.291-299
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• 2021

In 2019, SUV sales surpassed sedans in the domestic sales market with phenomenal domestic sales. The strength of SUVs around the world is expected to continue in the future. South Korea's K-company aggressively launched small SUVs in the SUV market. Its simple lineup is recognized as a brand image, not as a SUV. It is time to evaluate this. Therefore, it influences the purchasing decisions of potential customers and buyers of small SUVs through the evaluation of design images of small SUVs in Korea. Rather than the functional properties of the SUV model, it is purchased by emotional characteristics, brand symbolism, and image. Subconsciousness of the purchasing psychology of the end consumer was used by metaphor extraction techniques. Customers wanted to study the evaluation of small SUV design images that fit their needs. We wanted to see if consumers who intend to purchase or purchase small SUVs in Korea had a connection with the image of design of small SUVs in Korea. The conclusion of the study was extracted through ZMET, a metaphor extraction technique, with the latent consciousness of the primary ambiguous message from the consumer's feeling and representation of the image. Therefore, based on the results of this study, we hope that the images presented in SUVs in the future will be used as a design guide in the development of small SUVs to influence customer thinking and behavior.

• The Journal of the Convergence on Culture Technology
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• v.1 no.3
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• pp.23-30
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• 2015

Aroma therapy was used for religious or healing purpose in the world throughout the history. In these days, numbers of people use aroma therapy for various reasons such as mental health issue. Aroma diffusers are made with various subjects, but most are made with volatilization and candle by using fumigation method. Korea's a grayish-blue-powdered celadon has insignificant position in both traditional and cultural value. Grayish-blue-powdered celadon must constantly develop its style and design and collaborate with modern product to meet the demand of the today's market. In this research, it will find the method to develop an aroma diffuser by using a grayish-blue-powdered celadon to meet consumer's demand. And ultimately, this research will construct a cultural infrastructure based on traditional image and by adding more value on the traditional ceramics market.