• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.630-632
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• 2023

어텐션 메커니즘은 딥 뉴럴네트워크에 결합하여 언어 생성 모델에서 성능을 개선하였고, 이러한 성공은 다양한 신호처리 분야에 응용 및 확장되고 있다. 특정 입력 신호 부분에 선택적으로 집중함으로써, 어텐션 모델은 음성 인식, 이미지와 비디오 처리, 그리고 생체인식 등의 분야에서 더 높은 성능을 보여주고 있다. 어텐션 기반 모델은 심전도 신호를 이용한 개인식별 및 부정맥검출, 뇌파도 신호를 이용한 발작유형분류 및 수면 단계 분류, 근전도 신호를 이용한 제스처 인식 등에 사용되고 있다. 어텐션 메커니즘은 딥 뉴럴네트워크의 해석 가능성과 설명 가능성을 향상시키기 위해 사용되기도 한다. 신호 처리 분야에서의 어텐션 모델 연구는 지속적으로 진행 중이며, 다른 분야에서의 잠재력 탐구에 대한 관심이 높아지고 있다. 따라서 본 논문은 어텐션 메카니즘을 이용한 생체신호처리 연구 동향 분석을 수행한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.193-195
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• 2023

최근 다양한 동영상 미디어 콘텐츠가 늘어나면서 민감한 개인정보 유출의 위험성 또한 높아졌다. 이에 따라 다양한 동영상 비식별화 기법이 연구되었고, 그중에서 동영상 암호화 기술은 별도로 원본 동영상을 보관하지 않아도 복호화를 통해 원본 동영상을 얻을 수 있다는 장점 때문에 계속해서 연구가 진행되고 있다. 많은 동영상 암호화 연구에서는 암호화된 동영상의 비식별성을 입증하기 위해 기존의 이미지 암호화 연구에서 사용되던 평가 지표를 사용한다. 그러나 이러한 지표들은 암호화된 동영상의 비식별성을 입증하기에는 적합하지 않다. 따라서 본 논문에서는 암호화된 동영상이 전체 구간에서 비식별화되었는지 확인하는 방법을 제안한다. 본 논문에서는 기존의 지표들을 가중 합산하여 동영상의 모든 프레임에 대해 측정하고 이를 그래프로 표현하여 분석한다. 이 방법을 통해 암호화된 동영상에서 비식별화가 정상적으로 적용되지 않은 부분을 쉽게 파악할 수 있다.

• Korean journal of communication and information
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• v.71
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• pp.157-193
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• 2015

The purpose of this study is to critically interpret generational trends in contemporary Korea through understanding the consumer experiences of luxury bag purchases of women in their late 20s and early 30s. Previous studies on luxury consumption tend to focus on an analysis of the value of luxury products as a sign and a symbol, the characteristics or class identity of luxury consumers, or expressive behavior in terms of ideal self-image. While including these factors, this study also expands the scope to a reflexive understanding of the social structural context behind the phenomenon of personal consumption. This was achieved by considering consumption in terms of the style and practice of everyday life, as well as its opportunities and limitations. In particular, we pay attention to how luxury bags are reproduced as media, which is a process that is circulated back to consumption, and through this process, this study reflects on capitalist life and subjects.

• Informatization Policy
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• v.31 no.2
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• pp.82-104
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• 2024

Smart home services are growing rapidly as the development of the Internet of Things (IoT) opens the era of the so-called "Connected Living." Although personal information leaks through smart home cameras are increasing, however, users-while concerned-tend to take passive measures to protect their personal information. This study theoretically explained and verified how to design effective software update notification messages for smart home cameras to ensure that users comply with the recommended security behavior (i.e., update installation). In a survey experiment participated in by 120 actual users, the effectiveness of both emotional appeals (i.e., security breach warning images for fear appeals) and rational appeals (i.e., loss-framed messages emphasizing the negative consequences of not installing the updates) were confirmed. The results of this study provide theoretical interpretations and practical guidelines on the message design features that are effective for threat appraisals (i.e., severity, vulnerability) of smart home camera users and their protection motivation.

• Journal of the Korea Society of Computer and Information
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• v.3 no.2
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• pp.217-227
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• 1998

This study "The advance Study of human resource development Program Object for community Peoples in Information Society." that is too much important in Information society and IMF times. Human resource development is the process by which a community insures that it has the right number and kinds of peoples, in the right places at the right time, doing the things for which they are economically most useful. In the IMF season, an ever increasing number of cooperations are appointing executive level positions responsible for the re-enpoloyment, advancement, development of teaching, and growth of human resources. As a result, the field is being viewed as an important strategic approach to improved productivity efficiency and profitability in information society. Also, human resource development is a dynamic and evolving field in the world business. Industrial society organizations consist of three types of resources that machines, financial and human but, today have resource of organization that Knowledge, information and idea all include human. Human resource development factors will be consisted of that individual development, career development, motivation, Image making, Orignal idea development orientation and education and management time.ment time.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.351-356
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• 2023

The purpose of this study is to analyze how the movie <The Book of Fish> (2021) represents Joseon, which is slowly collapsing with the Neo-Confucian order of the 19th century shaking, and to discuss its meaning. Prior to the analysis, the analysis framework of the historical drama was presented considering the narration characteristics of the historical drama. Using the analysis framework of historical dramas, we confirmed that <The Book of Fish> is representing the image of Jeong Yak-jeon and Jang Chang-dae living their lives as independent individuals between the limitations and possibilities of the times based on the plot structure of the narrative of exile. Through the central memory and surplus memory created through plot and style elements such as contrast between black and white and color images, voice-over narration, chinese poetry subtitles and music, the film asks us universal questions about what it takes to live as an independent individual.

• Management & Information Systems Review
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• v.38 no.3
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• pp.55-80
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• 2019

Recently, many companies improving their management performance by building a powerful brand value which is recognized for trademark rights. However, as growing up the size of online commerce market, the infringement of trademark rights is increasing. According to various studies and reports, cases of foreign and domestic companies infringing on their trademark rights are increased. As the manpower and the cost required for the protection of trademark are enormous, small and medium enterprises(SMEs) could not conduct preliminary investigations to protect their trademark rights. Besides, due to the trademark image search service does not exist, many domestic companies have a problem that investigating huge amounts of trademarks manually when conducting preliminary investigations to protect their rights of trademark. Therefore, we develop an intelligent similar trademark search model to reduce the manpower and cost for preliminary investigation. To measure the performance of the model which is developed in this study, test data selected by intellectual property experts was used, and the performance of ResNet V1 101 was the highest. The significance of this study is as follows. The experimental results empirically demonstrate that the image classification algorithm shows high performance not only object recognition but also image retrieval. Since the model that developed in this study was learned through actual trademark image data, it is expected that it can be applied in the real industrial environment.

• Journal of Digital Contents Society
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• v.16 no.3
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• pp.389-395
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• 2015

Digital image provides many conveniences at the internet environment recently. A great number of applications, like Digital Library, Stock Image, Personal Image and Important Information, require the use of digital image. However it has fatal defect which is easy to be modified because digital image is only electronic file. Numerous digital image forgeries have become a serious problem due to the sophistication and accessibility of image editing software. Copy-Move forgery is the simplest type of forgery that involves copying portion of an image and paste it on different location within the image. There are many approaches to detect Copy-Move forgery, but all of them have their own limitations. In this paper, visual and invisible feature based forgery detection techniques are tested and analyzed. The analysis shows that pros and cons of these two techniques compensate each other. Therefore, a hybrid of visual based and invisible feature based forgery detection that combine the merits of both techniques is proposed. The experimental results show that the proposed algorithm has enhanced performance compared to individual techniques. Moreover, it provides more information about the forgery, like identifying copy and duplicate regions.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.554-559
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• 2007

최근 인터넷 관련 기술의 급속한 발전으로 사람들의 다양한 사회적, 경제적 행위들이 인터넷을 기반으로 확대되고 있다. 특히 우리나라의 경우 초고속 통신망의 확산과 더불어 인터넷 쇼핑몰과 상거래시장 또한 빠르게 성장하였다. 이러한 상황에서 인터넷을 매체로 하는 광고기법 또한 다양하게 적용되고 있는데, 인터넷을 통한 광고 효과를 극대화하기 위해 인터넷 신문기사 주변에 배치된 배너광고, 팝업광고 등 여러 가지 시도들이 있어왔다. 이러한 시도들은 인터넷 사용자의 편의에 대한 고려보다는 광고내용을 얼마나 잘 전달할 수 있는가에 초점이 맞추어져 있었다. 그러나 광고내용이 잘 전달된다 하더라도 소비자가 그 광고에 대해 불쾌감을 느끼게 된다면 과연 인터넷 광고효과가 높다고 말할 수 없을 것이다. 예를 들어, 팝업광고에 대한 대응책으로 개인적으로 팝업 블록커(pop-up blocker)를 사용하겠는가에 대한 설문조사 결과를 보면 사람들이 팝업 블록커를 이용해서라도 팝업광고를 피하고자 하는 비율이 77%에 달한다는 것을 알 수 있다. 실제로 Windows XP 서비스팩 2 이후의 버전은 인터넷 사용자들의 편의를 위해 자동 팝업 차단기능을 갖추고 있는 실정이다. 팝업광고를 통해 아무리 높은 정보전달 효과가 발생한다 하더라도 사용자들은 팝업광고에 대하여 거부감이나 부정적 감정을 느낄 수 있다. 그리고 광고정보가 전달된다 하더라도 팝업광고에 대한 사용자들의 불편함이 그 광고에 대한 부정적 감정으로 전이되어 광고대상에 대한 이미지에 악영향을 미칠 수 있음에 유의해야 한다. 그러므로 광고효과는 극대화하면서, 혹은 기존의 수준을 유지하면서 광고에 대한 거부감을 줄인 광고형태를 찾기 위한 다양한 노력들이 필요하다. 이를 위해 본 연구에서는 인터넷 신문기사에 첨부된 광고에 대한 사용자의 거부감을 줄일 수 있는 새로운 광고 제시 방식을 찾고자 일반적으로 사용되는 배너와 팝업 등 두 가지 광고 제시 방식과 전면에 돌출하지 않는 형태로 인터넷 신문기사의 배경에 삽입된 광고 제시 방식을 비교하였다. 그 결과, 인터넷 신문기사 영역의 주변 특정 부분(코너나 중간 부분 등)에 광고를 삽입한 배너 형태의 광고와 인터넷 신문기사 위에 광고가 돌출 등장하여 콘텐츠를 가리는 팝업 형태의 광고 제시 방식보다 새롭게 제안된 백그라운드 형태의 광고 제시 방식이 인터넷 신문기사를 읽는 사용자에게 거부감을 줄이며 동시에 광고효과를 유지할 수 있음을 확인하였다. 이러한 결과를 인터넷 광고 제시 방식으로 활용한다면 인터넷 사용자에게 콘텐츠를 방해하여 발생하는 명시적인 거부감(explicit negative attitude)을 줄이면서도 암묵적인(implicit) 광고효과를 얻을 수 있을 것이다.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.1-7
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• 2023

The advent of deep learning technologies has led to the development of various medical applications, making healthcare services more convenient and effective. Among these applications, heart rate estimation is considered a vital method for assessing an individual's health. Traditional methods, such as photoplethysmography through smart watches, have been widely used but are invasive and require additional hardware. Recent advancements allow for contactless heart rate estimation through facial image analysis, providing a more hygienic and convenient approach. In this paper, we propose a lightweight methodology capable of accurately estimating heart rate in mobile environments, using a specialized 2-channel network structure based on 2D convolution. Our method considers both subtle facial movements and color changes resulting from blood flow and muscle contractions. The approach comprises two major components: an Encoder for analyzing image features and a regression layer for evaluating Blood Volume Pulse. By incorporating both features simultaneously our methodology delivers more accurate results even in computing environments with limited resources. The proposed approach is expected to offer a more efficient way to monitor heart rate without invasive technology, particularly well-suited for mobile devices.