• Title/Summary/Keyword: 미디어노출

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Impact of Indirect Trauma via Media on Post-Traumatic Stress Symptoms : Online Survey Study (미디어 노출에 의한 간접외상이 외상 후 스트레스 증상에 미치는 영향 : 온라인 설문 조사 연구)

  • Park, Sang Eui;Jung, Youji;Lee, Jung Hyun
    • Anxiety and mood
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    • v.14 no.2
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    • pp.71-79
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    • 2018
  • Objective : Several earlier studies have reported similar symptoms in patients with posttraumatic stress disorder (PTSD) who have been repeatedly exposed to relevant media after disasters and trauma. This study aimed to examine the effects of indirect trauma experience through media rather than direct traumatic events on an individual's social life. Methods : Five hundred and fifty-four individuals participated in our online, self-reported questionnaire survey. All subjects were asked to complete a demographic questionnaire, Posttraumatic Diagnostic Scale, Beck Depression Inventory, the Impact of Event Scale-Revised, State-Trait Anxiety Inventory, Korean version of Alcohol Use Disorder Identification Test, Patient Health Questionnaire-15, Suicidal Behaviors Questionnaire-Revised. Participants were assessed in regards to their experience of violent media exposure within the past three months. Results : Data from our study indicates that the group exposed to violent media had significantly higher perceived stress, physical symptoms, insomnia, and suicide ideation in comparison to the control group. Among the major symptoms of PTSD, the proportion of intrusion symptoms was relatively high in the media exposed group. Conclusion : This suggests that indirect trauma caused by media exposure could cause post-traumatic stress symptoms. The PTSD caused by indirect trauma may have slight differences from the PTSD caused by direct trauma. Therefore, it is necessary to understand, prevent, and control the adverse effects of media.

Securing communication between EMS and remote devices in a Microgrid (마이크로그리드 환경에서 EMS와 원격 장치간 통신 보안)

  • Kim, Mi-sun;Park, Kyung-Woo;Kim, Jong-Man;Seo, Jae-Hyun
    • Smart Media Journal
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    • v.7 no.4
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    • pp.52-60
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    • 2018
  • Energy Management System(EMS) of Microgrid(MG) collects and analyzes data from devices in the microgrid to provide information to operators, users and other systems. In the middle of the process, it is required to securely provide information through both wired and wireless communication networks. In this paper, we design and implement a module that provides encryption and decryption, key management, key distribution, and message authentication functions, thus enabling the development of a system which is safe from the exposure and modulation of data potentially occurrable during data transmission between RTU(Remote Terminal Unit) and EMS. Our method can increase the efficiency of connection and key management for RTU by connecting a virtual device(VD) to RTU.

Development of atmospheric environment information collection system using drone (드론을 이용한 대기환경정보 수집장치 개발 및 응용 연구)

  • Kim, Nam Ho
    • Smart Media Journal
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    • v.7 no.4
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    • pp.44-51
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    • 2018
  • The purpose of this research is to collect atmospheric environmental information at specific altitudes in a range of 0 to 1 km above the surface and to monitor it using drones. The corresponding temperature and humidity were measured with the meteorological factors, and the amounts of fine dust and $CO_2$ were observed by the environmental factors so that they could receive the normal values. Monitoring the status of atmospheric gas emission in specific enterprises, industrial complexes and regions through the measurement is meant to help establish policies to reduce pollution factors. In conventional means previously practiced, exhaust gas detection accompanies a great deal of risks in terms of safety because the surveyor is directly exposed to the source of contamination such as the holes installed in the chimney. However, in our proposed method, the drone can collect information in a wide range under safe circumstances, which can be utilized through wide industrial areas.

A Design of a Data Service providing Additional Information of ID Advertising (ID 광고의 부가정보를 제공하는 데이터서비스 설계)

  • KO, Kwangil
    • Convergence Security Journal
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    • v.18 no.3
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    • pp.61-68
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    • 2018
  • As the digital broadcasting era settled in, the TV, which was only used to watch broadcast programs, developed as a medium for operating various data services. This means that an environment, in which the viewers' TV usage behavior can be changed from a passive attitude to an attitude of actively consuming the media, has been established. Since the advertising market is an industry that is heavily influenced by changes in the media, these changes causes changes in the form of advertising and the advertising consumption behavior of viewers. In this environment, the broadcasting industry needs to think about the new growth strategy that links the possibility of data service with the advertisement market. In this study, we designed a data service that provides supplementary information of an ID advertisement, which has the weakness of short exposure time and shortage of information expression space. Specifically, we have designed the usage scenario and user interface of the data service and developed a method, based on the international digital broadcasting standard DV B, that provides the supplementary information defined by the type of ID advertisement to the data service.

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The Interactive Window Interface reflecting external environment information (외부 환경 정보 반영 대화형 창문 인터페이스)

  • Kim, Da-Eun;Lim, Chan
    • Journal of the Korea Convergence Society
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    • v.10 no.4
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    • pp.107-113
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    • 2019
  • The highest percentage of single-person households is older than 60. Many of them live in dilapidated residential space because they are in difficult economic situations. The windows of them often don't exist or don't function properly as windows. As a result, they are suffering from social problems such as depression, solitude. This paper proposes an interactive window interface that reflects external environmental information for older people in their 60s or older of one household living in a dilapidated residential space. This content utilizes an inexpensive TV or PC monitor that doesn't require extra space and cost. Recognizing a user's hand through intuitive touch-sensing technology, which doesn't require much help from older people, this content provides weather videos and temperature information that reflect current external environment. Alert notification sound and SMS service are provided in preparation for more critical user emergencies. This content enables users to feel emotional stability and respond quickly to emergencies.

Blockchain-based Personal Information Authentication Method using Zero Knowledge Proofs (영지식을 활용한 블록체인 기반 개인정보 인증 기법)

  • Lee, Kwang Kyu
    • Smart Media Journal
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    • v.10 no.3
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    • pp.48-53
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    • 2021
  • The authentication process is a key step that should be used to verify that a user is legitimate, and it should be used to verify that a user is a legitimate user and grant access only to that user. Recently, two-factor authentication and OTP schemes are used by most applications to add a layer of security to the login process and to address the vulnerability of using only one factor for authentication, but this method also allows access to user accounts without permission. This is a known security vulnerability. In this paper, we propose a Zero Knowledge Proofs (ZKP) personal information authentication scheme based on a Smart Contract of a block chain that authenticates users with minimal personal information exposure conditions. This has the advantage of providing many security technologies to the authentication process based on blockchain technology, and that personal information authentication can be performed more safely than the existing authentication method.

A Study on the Deep Learning-Based Tomato Disease Diagnosis Service (딥러닝기반 토마토 병해 진단 서비스 연구)

  • Jo, YuJin;Shin, ChangSun
    • Smart Media Journal
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    • v.11 no.5
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    • pp.48-55
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    • 2022
  • Tomato crops are easy to expose to disease and spread in a short period of time, so late measures against disease are directly related to production and sales, which can cause damage. Therefore, there is a need for a service that enables early prevention by simply and accurately diagnosing tomato diseases in the field. In this paper, we construct a system that applies a deep learning-based model in which ImageNet transition is learned in advance to classify and serve nine classes of tomatoes for disease and normal cases. We use the input of MobileNet, ResNet, with a deep learning-based CNN structure that builds a lighter neural network using a composite product for the image set of leaves classifying tomato disease and normal from the Plant Village dataset. Through the learning of two proposed models, it is possible to provide fast and convenient services using MobileNet with high accuracy and learning speed.

An analysis study on the quality of article to improve the performance of hate comments discrimination (악성댓글 판별의 성능 향상을 위한 품사 자질에 대한 분석 연구)

  • Kim, Hyoung Ju;Min, Moon Jong;Kim, Pan Koo
    • Smart Media Journal
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    • v.10 no.4
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    • pp.71-79
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    • 2021
  • One of the social aspects that changes as the use of the Internet becomes widespread is communication in online space. In the past, only one-on-one conversations were possible remotely, except when they were physically in the same space, but nowadays, technology has been developed to enable communication with a large number of people remotely through bulletin boards, communities, and social network services. Due to the development of such information and communication networks, life becomes more convenient, and at the same time, the damage caused by rapid information exchange is also constantly increasing. Recently, cyber crimes such as sending sexual messages or personal attacks to certain people with recognition on the Internet, such as not only entertainers but also influencers, have occurred, and some of those exposed to these cybercrime have committed suicide. In this paper, in order to reduce the damage caused by malicious comments, research a method for improving the performance of discriminate malicious comments through feature extraction based on parts-of-speech.

Influencer Marketing: The Role of Product-Influencer Congruence between Social Distance, Perceived Authenticity and Attitude toward Ads (유튜브 인플루언서 마케팅: 사회적 거리, 지각된 진정성 및 광고태도의 관계에서 제품-인플루언서 일치성의 역할)

  • Gun, Choi;Byunghwa, Yang
    • Journal of Advanced Technology Convergence
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    • v.1 no.2
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    • pp.27-35
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    • 2022
  • We investigated the role of product-influencer congruence between social distance, perceived authenticity and attitude toward ads. In particular, we focused on the mediating effect of perceived authenticity on the relationship between social distance and attitude toward ads. Also, we interested in the conditional indirect effect of product-influencer congruence on the mediation process. For our purposes, data were collected from a convenience sample of 340 undergraduate students at a large university in South Korea. Our results indicated that social distance is directly related to the perceived authenticity and, consequently, affects attitude toward ads. Also, an indirect effect of the perceived authenticity was significant on the low level of product-influencer congruence and not in the high level. Our findings suggest that marketing managers should consider the social media influencer's authenticity and congruence between the product and the influencer.

Recommendation System Development of Indirect Advertising Product through Summary Analysis of Character Web Drama (캐릭터 웹드라마 요약 분석을 통한 간접광고 제품 추천 시스템 개발)

  • Hyun-Soo Lee;Jung-Yi Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.6
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    • pp.15-20
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    • 2023
  • This paper is a study on the development of an artificial intelligence (AI) system algorithm that recommends indirect advertising products suitable for character web dramas. The goal of this study is to increase viewers' content immersion and help them understand the story of the drama more deeply by recommending indirect advertising products that are suitable for writing lines for web dramas. In this study, we analyze dialogue and plot using the natural language processing model GPT, and develop two types of indirect advertising product recommendation systems, including prop type and background type, based on the analysis results. Through this, products that fit the story of the web drama are appropriately placed, allowing indirect advertisements to be exposed naturally, thereby increasing viewer immersion and enhancing the effectiveness of product promotion. There are limitations of artificial intelligence models, such as the difficulty in fully understanding hidden meanings or cultural nuances, and the difficulty in securing sufficient data for learning. However, this study will provide new insights into how AI can contribute to the production of creative works, and will be an important stepping stone to expand the possibilities of using natural language processing models in the creative industry.