• Title/Summary/Keyword: 채널이미지

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A Study on the Representation of Body Images from Date Show Program: Text Analysis of TVn's "Love Switch" (데이트 쇼 프로그램에서 표출된 몸 이미지의 표상 -TVn <러브스위치> 텍스트 분석을 중심으로-)

  • Hahm, Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.7
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    • pp.2957-2962
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    • 2011
  • The purpose of this paper is a semiotic analysis of a dating show on television program, and the attribute contains a variety of social and cultural phenomenons. Analyzed in this study shows relates with TVn's "Love Switch" from cable channel of the text through the classification of gender and thinking of behavior revealed by the structural characteristics of the men and women's appearances. And, how the television culture We rule the world and develop a sense of whether they are examined.

A Study on demosaicking using DCGAN (DCGAN을 활용한 디모자이킹에 관한 연구)

  • Jang, Young-chae;Anisetti, Macro;Jeon, Gwanggil
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.792-794
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    • 2018
  • 본 연구에서는 일반적으로 R,G,B 색 평면의 높은 상관관계를 이용하여 컬러 복원을 시도하던 기존의 방법의 문제점을 정의하고, DCGAN을 활용한 디모자이킹에 관한 연구를 소개한다. 약 2000장의 $256{\times}256$ 이미지를 학습데이터를 이용하였다. 보다 나은 결과를 위하여 R,G,B 색상 채널에 따라 각각의 네트워크를 구성하고 학습하였다. 제안 방법은 Intel Core i7-7770 CPU(3.60GHz), 16GB Memory,NVIDIA GeForce GTX1080Ti 구성의 Laptop에서 진행하였고, 평균 PSNR 22.5dB 정도의 성능을 보인다.

The Factors Affecting Preference and Image of YouTube Beauty Channels (유튜브 뷰티 채널의 선호도와 이미지에 미치는 영향 요인)

  • Kong, Ling Yu;Kim, Injai
    • The Journal of Information Systems
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    • v.28 no.3
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    • pp.25-38
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    • 2019
  • Purpose This study aims to empirically analyze which factors affect image and preference of YouTube beauty channels. Some practical and academic implications are presented through empirical research. Design/methodology/approach For this purpose, the six affecting factors were suggested on the basis of previous studies. We proposed image quality, user attitude, empirical value, economics, and awareness as independent variables and channel image and channel preference as dependent variables in order to investigate the causal relationships among the research variables. We surveyed 311 users who had experience in using YouTube Beauty channel and analyzed the data by using a statistical package. Findings This study showed that the channel image has a partial mediating effect between the affecting variables and the channel preference. The results provided some insights and information to increase the number of subscribers and site views. Several suggestions were carefully made.

Analysis of restoration network for phase-only hologram scaling (위상 홀로그램 스케일링을 위한 복원 네트워크 분석)

  • Kim, Woosuk;Oh, Kwan-Jung;Seo, Yong-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.448-449
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    • 2022
  • In the image upscaling field, the method using deep learning is showing better results than using the interpolation method. And for hologram upscaling, using deep learning is showing better results than general interpolation. In this paper, the network structure and learning results are analyzed. The learning results are compared by adjusting the depth of the network and the number of channels at the same weight.

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시각적 정보가 기업 성과에 미치는 영향: 고객 참여와 프랜차이즈 가맹의 조절된 매개 모형

  • Sin, Ga-Yeong;Yu, Byeong-Jun
    • 한국벤처창업학회:학술대회논문집
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    • 2021.11a
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    • pp.167-172
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    • 2021
  • 구매 의사 결정 단계에서 이미지나 동영상의 영향력이 지속해서 증가하고 있음에도 불구하고 시각적 정보가 소비자의 구매 의사 결정 과정에 영향을 미치는 메커니즘과 이에 따른 기업, 특히, 오프라인 기업의 성과에 대해서는 아직 알려진 바가 많지 않다. 이에 본 연구는 O2O 플랫폼에 입점한 10만 개 식당의 실제 예약 매출 데이터를 분석하여 이용자와 사업자가 O2O 플랫폼에 업로드한 사진 등의 시각적 정보가 기업의 성과에 미치는 영향과 메커니즘을 이중 처리 이론 기반으로 파악하고자 한다. 또한 저장하기, 공유, 리뷰 등 고객 참여와 프랜차이즈 가맹의 시각적 정보와 성과 간 관계에 대한 조절된 매개 효과를 분석한다. 본 연구는 이중 처리 이론 기반으로 시각적 정보가 구매 의사 결정 과정에서 작동하는 메커니즘을 설명하는데 기여할 것으로 기대한다. 그뿐만 아니라 실제 예약 매출 데이터를 활용하여 분석함으로써 직접적이고, 수익적인 측면의 기업 성과를 측정할 수 있을 것이다. 또한 오프라인 소매점에서 활용할 수 있는 온라인 채널 전략에 대한 실무적인 시사점을 제공할 것으로 기대한다.

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Design of an RFID Communication Protocol Using Synchronized Chaotic Systems (동기화된 혼돈시스템을 이용한 RFID 통신 프로토콜 설계)

  • Yim, Geo-Su
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.5
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    • pp.451-457
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    • 2016
  • To improve security in the data communication field, many studies on the application of chaotic signals to encryption have been conducted in recent years. In this study, a new security protocol where the initial value sensitivity and noise similarity of chaotic signals have been applied to an RFID communication channel was designed. In the case of chaotic systems, if the initial values become identical, the same signals are generated at the same time after that point even though the two systems have been calculated independently. Therefore, an unpredictable security channel can be produced based on such characteristics. However, a security channel can be produced only when an initial value is shared in advance, and thus there is a potential problem of infringement during the transmission of the initial value. To resolve this problem, a method in which a certain proportion of new chaotic signals are applied to two chaotic systems for communication and are then synchronized after some time was proposed. This new method can conceal the initial value, and thus can resolve the problem of the existing communication method using chaotic signals. The designed method was verified with the encryption and decryption of images. It is expected that a more secure RFID system could be established by applying the communication protocol proposed in this study to insecure RFID communication channels.

A Study on the Influence of Social Media Experience and Influencer on Consumer Satisfaction and Purchase Intention (소셜미디어의 경험과 인플루언서가 소비자의 소셜미디어 만족도와 구매의도에 미치는 영향력에 관한 연구)

  • Lee, Young Ae;Ha, Kyu Soo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.2
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    • pp.171-181
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    • 2020
  • As expanding marketing channels via social media, a small number of ordinary people have played a role in the information disseminator on social media. Therefore, this study aims to propose efficient social media marketing operation strategies by analyzing the influence relationship from various prospective on beauty channel social media marketing This study examined how beauty channel social media experience affects satisfaction and purchase intend. The components of social media experience were divided into entertainment, interaction, trendiness, usefulness for analysis. Social media experience was confirmed as a factor having significant effect on satisfaction and purchase intend. As a result, the social media experience had a significant effect on the satisfaction and purchase intend and the influence relationship of social media experience on each component was found to be entertainment, usefulness. Also, the expertise of beauty influencers had a significant influence on satisfaction and purchase intend. It is expected that the study results would be available as important data for beauty influencer-based marketing. This study attempted to search for a marketing stratege plan for efficient consumer management and derive and suggest practical implications.

A Transmission Service Method for Processing Visual Recognition of Sender Information (발신자 정보에 대한 시각적 인식 처리를 위한 전송 서비스 기법)

  • 김기현
    • Journal of KIISE:Computing Practices and Letters
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    • v.10 no.4
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    • pp.328-336
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    • 2004
  • Recently a mobile service is changing into a system environment that offers the customer various contents service. Representative example of service is a Calling Identity Del ivory Service(CID). Such service has the problem in the case which the receiver cannot remember the phone number of the sender; it has a difficult problem that cannot easily confirm whose the phone number it is. Therefore, it is desirable to design and implement visual services that can enhance the recognition of users. In this paper, we propose the architecture that is similar to a Calling Identity Delivery Service. We propose the architecture for communication service and system that is able to visually display the information of the sender using 2D image data in mobile environment. After that we set the image information to represent the user and this method is able to visually display the information of the sender by transmitting an image data through channels from switch station or base station using the server. When the receiver receives a phone call from the sender, this method provides an efficient service by transmitting visual data with bell sound. That is, the image information of sender is appeared on liquid crystal display(LCD) of the receiver at the same time. We investigate the concepts for processing real-time transmission of image data and describe an example of the implementation result that is based on system. This technology has a potential influence on the marketing and presents an efficiency of this method.

DECODE: A Novel Method of DEep CNN-based Object DEtection using Chirps Emission and Echo Signals in Indoor Environment (실내 환경에서 Chirp Emission과 Echo Signal을 이용한 심층신경망 기반 객체 감지 기법)

  • Nam, Hyunsoo;Jeong, Jongpil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.3
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    • pp.59-66
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    • 2021
  • Humans mainly recognize surrounding objects using visual and auditory information among the five senses (sight, hearing, smell, touch, taste). Major research related to the latest object recognition mainly focuses on analysis using image sensor information. In this paper, after emitting various chirp audio signals into the observation space, collecting echoes through a 2-channel receiving sensor, converting them into spectral images, an object recognition experiment in 3D space was conducted using an image learning algorithm based on deep learning. Through this experiment, the experiment was conducted in a situation where there is noise and echo generated in a general indoor environment, not in the ideal condition of an anechoic room, and the object recognition through echo was able to estimate the position of the object with 83% accuracy. In addition, it was possible to obtain visual information through sound through learning of 3D sound by mapping the inference result to the observation space and the 3D sound spatial signal and outputting it as sound. This means that the use of various echo information along with image information is required for object recognition research, and it is thought that this technology can be used for augmented reality through 3D sound.

Effects of Advertising Strategies in Corporate YouTube Channels on Consumer Responses: Focusing on Vlogs (기업의 유튜브 채널에서 활용된 광고 전략이 소비자 반응에 미치는 영향: 브이로그(Vlog)를 중심으로)

  • Song, You Jin;Choi, Sejung Marina
    • The Journal of the Korea Contents Association
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    • v.21 no.8
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    • pp.32-48
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    • 2021
  • This study attends to the phenomenon of major domestic corporations advertising their respective brands on official YouTube channels, reflecting the increasing importance of YouTube as a medium for marketing communication. One hundred vlogs of corporations with an official YouTube channel were content analyzed and their banded content attributes, advertising model's characteristics, advertising appeals, creative strategy, and consumer responses were investigated. Results show that the vlogs of employees were generally formulated with information on their colleagues' tasks and interviews. Findings also demonstrate that the characteristics of the model featured in vlogs had the most significant effects on consumer responses. Amongst the creative strategies, the user image had positive effects. However, branded content characteristics and advertising appeal types were found to have relatively weak effects. This research offers a theoretical understanding of the factors that influence consumer responses to the new type of advertising, corporate vlogs, in terms of branded content characteristics and advertising strategies. From a strategic point, it is anticipated that the reinforcement of user image and the utilization of an attractive model will produce positive responses from consumers.