• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.07a
• /
• pp.405-408
• /
• 2023

본 논문에서는 '그림'이라는 주제를 통해 자기 작품을 그림에 관심이 많은 사람과 자유롭게 소통하고 작품성을 높이기 위해 이미지 필터 조정 및 특징을 표현하는 웹사이트를 제작하였다. '그림'을 통해 대중들에게 자기 작품을 보여 줄 수 있는 활동은 '전시회' 이외에는 없기 때문에 이 웹사이트에 게시판 기능을 통해 자기 작품을 더 쉽게 공개함과 동시에 google cloud vision api를 활용해 자기 작품에 특징을 그래프로 시각적인 효과를 이용해 추출하고 필터를 변경하여 좀 더 작품에 대한 완성도를 더해주며, 본 웹사이트를 통해 그림에 대한 문화 활동이 다른 문화 활동에 비해 좀 더 앞서갈 것이라고 기대한다.

• Journal of The Korean Association For Science Education
• /
• v.30 no.2
• /
• pp.261-274
• /
• 2010

In this study, we investigated the influences of teaching practices upon preservice elementary school teachers' self-images of science teaching. Twenty-six juniors were selected from the departments of science education in a national university of education. The Draw-A-Science-Teacher-Test Checklist (DASTT-C) was administered before and after teaching practices. Five juniors were also interviewed in depth, and some of their science classes during teaching practices were observed, in order to investigate the factors influencing the formations of their self-images of science teaching. Analyses of the results revealed that their self-images of science teaching changed from near 'studentcentered' to near 'teacher-centered'. Many juniors responded that the main factors affecting the formations of their images of science teaching before teaching practices were teaching-learning experiences in elementary and secondary schools, and/or universities. After teaching practices, however, many juniors responded teaching-learning experiences during teaching practices. The factors were classified into three types, which are the influences of the experiences in teaching elementary school students in science classes, the influences of other preservice elementary school teachers, and the influences of guidance teachers. Educational implications of these findings are discussed.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2016.07a
• /
• pp.87-88
• /
• 2016

본 논문에서는 현재 서비스 중인 지자기를 이용한 위치인식 서비스를 더울 효율적이고 정확하게 이용하기 위해, 스마트폰 카메라 기능을 이용한 이미지 인식 서비스 기술을 융합하여 상호 보완적이고 완성적인 실내 위치인식 서비스 시스템을 제안하고자 한다. 본 시스템은 스마트폰 카메라와 지자기 센서를 이용하여 특정 인프라 구축 없이 데이터 분석만으로 실내 측위 시스템 구현을 목표로 한다.

• Journal of KIISE:Databases
• /
• v.36 no.6
• /
• pp.446-454
• /
• 2009

Among various region detector and shape feature extraction method, MSER(Maximally Stable Extremal Region) and SIFT and its variant methods are popularly used in computer vision application. However, since SIFT is sensitive to the illumination change and MSER is sensitive to the scale change, it is not easy to apply the image similarity retrieval. In this paper, we present a Scale and Rotation Invariant Region Feature(SRIRF) descriptor using scale pyramid, MSER and affine normalization. The proposed SRIRF method is robust to scale, rotation, illumination change of image since it uses the affine normalization and the scale pyramid. We have tested the SRIRF method on various images. Experimental results demonstrate that the retrieval performance of the SRIRF method is about 20%, 38%, 11%, 24% better than those of traditional SIFT, PCA-SIFT, CE-SIFT and SURF, respectively.

• Journal of The Korean Association For Science Education
• /
• v.28 no.5
• /
• pp.464-470
• /
• 2008

In this study, we investigated the characteristics of elementary school teachers' self-images of science teaching by using Draw-A-Science-Teacher-Test Checklist (DASTT-C). A survey was administered to 178 elementary school teachers in Seoul, Gyeonggi province, and Gangwon Province. It was found that elementary school teachers' self-images of science teaching for four science subjects (physics, chemistry, biology, and earth science) were more 'teacher-centered' than 'student-centered'. The results may imply that elementary school teachers' beliefs of science teaching tend to be more traditional than constructive. Therefore, there is a need to develop an effective education system for pre- and in-service elementary school teachers based on constructivism.

• KIPS Transactions on Software and Data Engineering
• /
• v.12 no.12
• /
• pp.519-524
• /
• 2023

In hashing-based image retrieval, the hash code of a manipulated image is different from the original image, making it difficult to search for the same image. This paper proposes and evaluates a self-supervised deephashing model that generates perceptual hash codes from feature information such as texture, shape, and color of images. The comparison models are autoencoder-based variational inference models, but the encoder is designed with a fully connected layer, convolutional neural network, and transformer modules. The proposed model is a variational inference model that includes a SimAM module of extracting geometric patterns and positional relationships within images. The SimAM module can learn latent vectors highlighting objects or local regions through an energy function using the activation values of neurons and surrounding neurons. The proposed method is a representation learning model that can generate low-dimensional latent vectors from high-dimensional input images, and the latent vectors are binarized into distinguishable hash code. From the experimental results on public datasets such as CIFAR-10, ImageNet, and NUS-WIDE, the proposed model is superior to the comparative model and analyzed to have equivalent performance to the supervised learning-based deephashing model. The proposed model can be used in application systems that require low-dimensional representation of images, such as image search or copyright image determination.

• Journal of the Korean Home Economics Association
• /
• v.44 no.11
• /
• pp.67-78
• /
• 2006

Self-concept is a multi-dimensional characteristic including self-image and self-evaluation. Self-image is the descriptive side of self-concept and is composed of the real self-image and the ideal self-image. Self-evaluation is the appraisable side self-concept and is composed of the internal self-concept, external self-concept and total score of self-concept. The purposes of this study were to determine the correlation of self-image and self-evaluation and to identify the effects of self-image and self-evaluation on consumption value. The data were collected from 237 college women residing in Gwangju using a questionnaire to investigate real/ideal self-image, self-evaluation and consumption value. The results were analyzed with factor analysis, Pearson's correlation and multiple regression analysis using statistical program SPSS 10.0. The results of this research were as follows. 1. The real self-image and ideal self-image had a significant correlation with internal self-concept, external self-concept and total score of self-concept. It was ensured that self-image and self-evaluation are one side of the multidimensional self-concept. 2. The real/ideal self-image and internal/external self-evaluation had a significant influence on consumption value. The real self-image and external self-evaluation were the most important variables explaining the consumption value.

• Journal of Digital Convergence
• /
• v.16 no.5
• /
• pp.207-211
• /
• 2018

TThis research paper discusses the results of an article on the effects of moderating role of self-monitoring on response to the two different types of online advertising appeals. It was hypothesized that low self-monitors show more positive attitude towards brand when exposing advertisements with product quality-based online advertising than high self-monitors, whereas high self-monitors show more positive attitude towards brand when exposing advertisements with image-based online advertising than low self-monitors. Through an experimental design involving product quality and image-based online advertising, this article demonstrates that the role of self-monitoring in online advertising effects is similar to traditional advertising studies. Based on the results of the study, practical and theoretical suggestions are interpreted in relation to online advertising creative messages and strategies.

• Korean Journal of Culture and Social Issue
• /
• v.27 no.2
• /
• pp.191-216
• /
• 2021

How an individual construes one's future influences everyday decisions. For example, savings and impulsive purchasing, which is highly familiar with our life, are related to future time perception. Drawing on the idea of future self-continuity, the perceived connectedness between the current and future self, this study demonstrated whether media images with various age ranges influence a sense of connectedness with one's future self as well as impatience. Furthermore, the study measured whether these relationships were moderated by the positivity of older adults and an individual's dispositional optimism in general. Results showed that watching various images of people with a wide range of age (from the 20s to 90s) in social media increased young adults' (the 20s) self-continuity and decreased their intention of impatient consumption. This effect was also moderated by the degree to which the participants perceive aging positively.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.24 no.5
• /
• pp.748-759
• /
• 2000

The purposes of this study were 1) to classify wearing situation of male adolescents and 2) to classify self-image and CPI(Clothing Preference Image) of male adolescents and 3) to segment consumer group by self-image and to find the differences in self-image and CPI by situation among groups. For the data collection a questionnaire was distributed to male adolescents who were residents in Seoul and Taejeon. The statistics used for the data analysis were factor analysis, multiple dimensional scale, mean, percentage, peason-correlation, cluster analysis, one-way ANOVA, Duncan-test by the SPSSWIN program. The results of this study are as follows: 1) The self-image of male adolecents is categorized by seven factors; sophisticate and fashion conscious, active, practical and realistic, flank and pure, young-looking, feminine, and slender. Based on seven factors, the consumer group is categorized to five groups; practical and realistic Group1, young-looking and feminine Group2, characterless Group3, active Group4, sophisticate and flank Group5. 2) Wearing situations are divided into three categories; in downtown, in urban, at festival. In downtown, CPI are divided into six elements; ornamental, simplex, sexy, feminine, neat, young, and sophisticate. In urban, CPI are divided into five elements; ornamental, simple, sexy, feminine, young-looking, and sophisticate. At festival, CPI are divided into four elements; unique, simple, feminine, and formal. To conclude, the male adolescent consumers are categorized by self-image, and the different CPIs are sought by different wearing situations.