• Electrical & Electronic Materials
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• v.8 no.1
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• pp.64-70
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• 1995

We discussed the thermal analysis for a recording media with the variation of the laser pulse duration, the laser power and the temperature distribution in order to optimize the Te-based antireflection structure from the computer calculations. In the case that the radial heat diffusion is negligible, we can calculate the maximum temperature of the recording layer at the center of the spot by the Simple Model. The temperature profile of the recording layer is obtained from the Numerical Model by considering the total specific heat and the latent heat. As a result, the effect of the heat sinking acting as a thermal loss for the hole formation could be minimized by introducing the pulse with the hole formation duration(.tau.) below the thermal time constant(.tau.$_{D}$) of a dielectric layer. These requirments can be satisfied by using the dielectric thickness of the 2nd ART(Anti-Reflection Trilayer) condition or the dielectric materials with a low thermal diffusivity.y.

• Fashion & Textile Research Journal
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• v.8 no.2
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• pp.177-182
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• 2006

The purpose of this study is to examine the effect of media on plastic surgery experiment. Firstly this study try to find the relationship between exposure to media and other intervening factors(e.g., body image, self-esteem, fashion attitude). The data collected for this study was gathered through questionnaire survey with 443 female students in Seoul. The results are as follows: Using ANOVA, we found that those prefer the magazine over TV or Internet had positive body image, higher self-esteem, and positive fashion attitude(e.g., personality/self-expression, fashion leadership, sexual attraction). Using regression analysis, we found that the we found that the factors influence plastic surgery behavior are the exposure to magazine and the factors influence plastic surgery planning are the clothing attitude (especially fashion leading power, sexual attraction).

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.235-236
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• 2007

CCD(Charge-Coupled Device) 혹은 CMOS (Complementary Metal Oxide Semiconductor)와 같은 소자를 이용하여 빛을 전기적 신호인 Image로 재구성하는 촬상소자(Color Capture Device)는 촬영환경이 어두워지면 Dynamic Range가 작아지고, Noise가 상대적으로 심해진다[1][2]. 본 논문에서는 촬영 환경이 어두울 때, Resolution을 Preserving하는 Pixel Pitch가 큰 촬상 소자와 Motion Blur를 억제하는 Exposure Time이 긴 촬상 소자의 조합을 신호처리로 구현하여, 신호의 Power를 향상시켜 Dynamic Range를 키우고 Noise의 Boost-up을 억제하여 SNR(Signal to Noise Ratio)을 향상시키는 방식으로, 촬상 장치의 감도를 향상시켜 화질을 개선하는 방법을 제안한다.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.214-221
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• 2019

This study attempted to extend Korean Wave literature by investigating (a) the influence of protagonists' personality characteristics and the role of empathy under the affective disposition theory, and (b) the power of some external factors in the entertainment media selection. After watching an episode of the popular Korean drama, Secret Garden, participants completed a survey in the United States. Results demonstrated that (a) the effect of personality characteristics varied across gender and (b) external factors affects the entertainment media selection positively. Findings indicate that media enjoyment is dependent on the audience's external factors.

• Journal of Fashion Business
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• v.26 no.6
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• pp.116-132
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• 2022

Fashion marketing activity performed by social media influencers (SMIs) has grown exponentially in the past years. Research regarding their marketing power is often discussed in the context of sponsorship disclosure, in order to overcome obstacles of impending regulations that may endanger the authenticity SMIs are perceived to have compared to traditional marketing agents. Upon recent heterogeneous findings, a netnographic approach was taken to examine the actual sponsored posts of SMIs on Instagram. Based on two representative cases that received media coverage, a qualitative analysis of 1,058 comments on Instagram showed customer inspiration and informational social influence regardless of sponsorship disclosures present. Regarding customer inspiration, high frequency of comments including choice imitation intentions was observed. Under certain conditions, customer responses were focused on the SMI's expertise irrespective from the brand being endorsed. Findings show future implications from both an academic and industry-focused perspective for future potential of SMIs in fashion marketing.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.72-78
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• 2022

The aim of this research is to improve the effectiveness of digital media advertising because current advertisements -in digital signage - indiscriminately appeals to the general public rather than to a specific target. In order to deliver efficient and customized advertisement information, an IoT human body detection sensor mounted on digital signage detected human faces and then classified them firstly by gender. The digital signage here is a smart digital signage that can analyze facial signals, discriminate them based on patterns, and apply the extracted data by displaying the corresponding information to the user. In addition, by identifying the customer's location approaching the smart digital signage and displaying the optimized content information for the customer's location through an algorithm, the digital signage can dramatize the advertisement Thus, this is a study meant forimproving information efficiency while reducing noise and driving power waste generated from unnecessary digital information reproduction.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.291-297
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• 2023

This paper intends to shed light on how the advent of streaming services pioneered by Netflix has been affecting the media landscape in the U.S. by looking at Disney's entry into streaming services and what effects this might have had. The paper first looks at the rise of Netflix, the disruptive impact it had on cable and film businesses, and the challenges this has posed to traditional media conglomerates like Disney. In this context, the paper examines Disney's decision to enter into streaming services as a move to counter both these challenges and Netflix's growing power. Finally, the paper notes the changes Disney's entry is likely to bring about, notably the continued disruption of film and television as streaming business expands, as well as the potential of Disney's streaming services to challenge Netflix and further strengthen its media empire.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.342-364
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• 2014

The purpose of this paper is to provide an answer for the following question: What are the major shifts and implications of the unprecedently competitive and rapidly changing media ecosystem in the era of N-screen and OTT services? I've attempted to understand the complex and competitive nexus among media from an historical context by focusing on the displacement vs. complement thesis. The TPC model by Han has been employed for the analysis of the current dynamics of US media industries by triangulating three areas: Technology/industry, public policy and consumer/culture. More specifically, the US media landscape is initially divided into two competitive turfs - the competitors equipped with OTT services and the legacy media industry, and then the traditional media industry was grouped again into PayTV group(telecom service providers with IPTV and mobile TV, cable/Satellite TV networks) and Free (over-the-air) TV networks. Six major shifts were identified by the analysis: power shift in telecom carriers, power shifts in TV industry, Telecom/OTT partnership, time shifts, place shifts, and finally business model shifts.

• Korean journal of communication and information
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• v.45
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• pp.296-340
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• 2009

The power of media has always been problematic in the countries of full press freedom. Originally, the media used to be an effective vehicle for communication within human beings. However, it exerts an overwhelming power toward human society. Through applying the well-known four dog models in terms of media function, this study attempts to examine how the press media in South Korea transformed themselves into another powerful independent organization or institution after regime shift in 1987. The whole editorials of four sampled newspapers were analyzed through frame analysis model. The ChosunIlbo, known as a conservative and pro-government paper, shows to take the role of supporting chaebol policies under Roh TaeWoo Administration. However, it criticizing sharply against the chaebol policies of Roh MooHyun Administration. The JoongangIlbo, known as a pro-chaebol paper, appears anti-government position through the entire four administrations in terms of chaebol policies. Particularly, it reveals hostile editorial coverage during the Roh MooHyun Administration. However, KyunghyangShinmun, currently known as a liberal paper, viewed somewhat complicated positions (see text in more detail) because of its ownership turbulence during the past twenty years. On the other hand, Hangyoreh, regarded as a progressive paper, keeps in supportive attitude consistently against the four sampled administrations as far as regulating each government policies for chaebols.

• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.67-73
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• 2020

In this paper, we present a CNN-based gesture recognition approach which reduces the memory burden of input data. Most of the neural network-based gesture recognition methods have used a sequence of frame images as input data, which cause a memory burden problem. We use a motion history image in order to define a meaningful gesture. The motion history image is a grayscale image into which the temporal motion information is collapsed by synthesizing silhouette images of a user during the period of one meaningful gesture. In this paper, we first summarize the previous traditional approaches and neural network-based approaches for gesture recognition. Then we explain the data preprocessing procedure for making the motion history image and the neural network architecture with three convolution layers for recognizing the meaningful gestures. In the experiments, we trained five types of gestures, namely those for charging power, shooting left, shooting right, kicking left, and kicking right. The accuracy of gesture recognition was measured by adjusting the number of filters in each layer in the proposed network. We use a grayscale image with 240 × 320 resolution which defines one meaningful gesture and achieved a gesture recognition accuracy of 98.24%.