• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.477-487
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• 2016

In 1995, the filming location of the drama had been famous, and as a result it brings the effect of increasing tourists of that areas. After that, many local governments try to host the filming on their regions to be potential tourist attractions. With the same stream, Jeonju also has attempted to host International Film Festival and to set up Jeonju Film Commission and Jeonju Cinema Complex. However, although the city already has rich infrastructure facilities to make films, the city hardly tries to use the filming locations as tourist attractions. This study suggests four ways of using filming locations as tourist attractions to activate Jeonju economy and improve Jeonju's cultural image. We firstly collect social bigdata related with tourists of filming locations and tourist attractions in Jeonju from Twitter, which is the most representative SNS, and then perform frequency and trend analysis. We also investigate major factors of visits to tourist's attractions based on content analysis of tweet mentions.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.456-456
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• 2023

본 연구에서는 위성영상 상황판연계·표출시스템 적용을 위한 SNS 주민참여 콘텐츠를 개발하고, 재난대응 표준위기관리절차 기반의 주민참여정보 활용방안을 제시하고자 하였다. 재난상황관리에 있어 SNS의 활용을 통한 주민참여 확대적용 방안을 모색하고자 재난 대비·대응 관련 공공 및 정부부처에서 활용 중인 SNS 채널을 조사하였으며, 상황관리에 SNS를 적용한 선행사례를 분석하였다. 이를 기반으로 SNS를 적용한 예방안전 및 피해복원 확대 적용 방안을 제시하였으며, 신속한 위기대응을 위한 보조적인 의사결정 지원도구로서의 콘텐츠를 제안하였다. 먼저, 예방안전 및 피해복원 확대 적용을 위해 SNS에 주민들이 작성한 게시글을 웹 크롤링과 데이터 마이닝을 통해 분석하여 재난 상황인지와 상황판단 및 피해범위 추정에 활용하는 방안을 제시하였고, 이를 상황판연계·표출시스템에서 표출하기 위한 예시화면을 설계하였다. 또한, 연구 1차년에 수행했었던 위성영상을 활용한 재난상황대응 표준위기관리절차 중 위성영상정보에 주민참여정보를 연계·중첩하여 재난의 전조감지 단계부터 확산양상 및 피해범위를 확인하고, 재난기록을 분석하여 추후 발생된 재난에 선제적으로 대비할 수 있는 방안을 제시하였다. 그러나, 주민참여 기반 SNS 콘텐츠 적용을 위한 우선 해결사항으로는 재난상황판단 시, 정보의 정확성과 신뢰성 측면에서 의사결정을 위한 보조도구로서 활용을 할 것인지에 대한 중앙재난안전상황실과의 충분한 협의가 필요하며, 상황실에서 해당 콘텐츠를 활용하게 될 경우, SNS 정보의 행정망 방화벽 허용가능여부에 대한 추가 분석설계가 필요한 상황이다. 이를 위해 금년 연구수행에서 상황실 실무자 수요조사를 통해 SNS 정보 활용에 대한 반영여부를 결정할 예정이다.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.1-10
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• 2019

The present research aims to identify the issues that occurred when uploading stock photos to the internet-based stock image agencies and to develop technical solutions based on web service technologies. We identify the issues by examination of previous studies and stock photo uploading systems of major three agencies currently in service. As such, we develop web service technology by focusing on the following matters. First, we apply an automatic tag system to ensure convenience. Second, to ensure safety, we apply a technology that easily enables prevention of portrait rights violations and trademark infringements. We also prepare for measures against possible harmfulness. Third, to ensure completeness, we apply a method which resolves upload failure issues that frequently occurred in the past. In particular, the present research is significant as it applies an automatic image analysis system based on Google Cloud Vision API as the artificial intelligence-based image processing technology. In addition, we develop a web service program which improves user access by using SNS-type screen composition.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.102-110
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• 2019

The military respond well to external publics in the event of a crisis int that they are operated based on the trust of the people. Unlike other organizations, however, the Korean military has the distinctiveness that soldiers experience military life as internal publics for a certain period of time and after serving in the army, they become those who evaluate the military as external publics. Therefore, it is important to examine what would be effective crisis management strategies in terms of communicating with active-duty soldiers. Given that active-duty soldiers are accustomed to using SNS these days, this study investigated whether message forms (digital image vs. text) affect the perception of the military in crisis, acceptance of the given message, and attitude toward the military. Our empirical findings suggest that image-based messages are more likely to increase levels of message acceptance than text-based messages. Based on the results, we discussed practical implications on communication strategies for managing the military in crisis.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.123-136
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• 2021

Teddy bear is a typical rag doll which has been loved by people all over the world for more than 100 years based on its cute and friendly image. In addition, as it has been together for a long time with us, it is considered as a friend of people with memories of all ages and sexes, not just animal doll. Teddy bear has been developing its appearance and character continually playing a role as the symbol of society and issues of an era beyond toys, however it still remains in the image of stuffed toys. Therefore, more advanced teddy bear characters should be created in line with the current environment and market conditions that are undergoing major changes based on the Internet and smart phones. Thus, the concept of the character and the recent development of the market were reflected and the meaning and current image of teddy bears were analyzed to develop new teddy bear stories, worldviews, and characters through design process. And it was created 3D characters, videos, and SNS channels through the developed 3D character design and motion design. Furthermore, we want to take a look at the direction in which Korea's character business can develop in accordance with global changes and suggest the possibility of entering as a character powerhouse.

• Fire Science and Engineering
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• v.30 no.6
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• pp.92-98
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• 2016

This study evaluated thermal image real-time estimation and fire alarm using by a CCD camera, which has been a seamless feature-point analysis method, according to the angle and position and image fusion by a vector coordinate point set-up of equal shape. The system has higher accuracy, fixing data value of temperature sensing and fire image of 0~255, and sensor output-value of 0~5,000. The operation time of a flame specimen within 500 m, 1000 m, and 1500 m from the test report specimen took 7 s, 26 s, and 62 s, respectively, and image creation was proven. A diagnosis of fire accident was designated to 3 steps: Caution/Alarm/Fire. Therefore, a series of process and the transmission of SNS were identified. A light bulb and fluorescent bulb were also tested for a false alarm test, but no false alarm occurred. The possibility that an unwanted alarm will be reduced was verified through a forecast of the fire progress or real-time estimation of a thermal image by the change in the image of a time-based flame and an analysis of the diffusion velocity.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.113-123
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• 2021

This study involves an experiment aimed to reveal the communicative effects by different types of visual expressions in SNS advertisements. This study analyzes consumers' dynamic responses to vicarious emotional experiences and the creative rhetorical expressions of networking media platforms through experiments that sample university students. The vicarious emotional experiences of networking media platforms have a significant effect on the consumers' subsequent reactions. The greater the vicarious emotional experiences are, the more positive this effect is. There is a significant interactive effect between consumers' vicarious emotional experiences and the rhetorical creative types of targeted media.

• Journal of Information Processing Systems
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• v.19 no.3
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• pp.289-301
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• 2023

Due to the development and dissemination of modern technology, anyone can easily communicate using services such as social network service (SNS) through a personal computer (PC) or smartphone. The development of these technologies has caused many beneficial effects. At the same time, bad effects also occurred, one of which was the spam problem. Spam refers to unwanted or rejected information received by unspecified users. The continuous exposure of such information to service users creates inconvenience in the user's use of the service, and if filtering is not performed correctly, the quality of service deteriorates. Recently, spammers are creating more malicious spam by distorting the image of spam text so that optical character recognition (OCR)-based spam filters cannot easily detect it. Fortunately, the level of transformation of image spam circulated on social media is not serious yet. However, in the mail system, spammers (the person who sends spam) showed various modifications to the spam image for neutralizing OCR, and therefore, the same situation can happen with spam images on social media. Spammers have been shown to interfere with OCR reading through geometric transformations such as image distortion, noise addition, and blurring. Various techniques have been studied to filter image spam, but at the same time, methods of interfering with image spam identification using obfuscated images are also continuously developing. In this paper, we propose a deep learning-based spam image detection model to improve the existing OCR-based spam image detection performance and compensate for vulnerabilities. The proposed model extracts text features and image features from the image using four sub-models. First, the OCR-based text model extracts the text-related features, whether the image contains spam words, and the word embedding vector from the input image. Then, the convolution neural network-based image model extracts image obfuscation and image feature vectors from the input image. The extracted feature is determined whether it is a spam image by the final spam image classifier. As a result of evaluating the F1-score of the proposed model, the performance was about 14 points higher than the OCR-based spam image detection performance.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.13-24
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• 2022

SNS has become a very close service to our daily life. As marketing is done through SNS, places often called hot places are created, and users are flocking to these places. However, it is often crowded with a large number of people in a short period of time, resulting in a negative experience for both visitors and service providers. In order to improve this problem, it is necessary to recognize the congestion level, but the method to determine the congestion level in a specific area at an individual level is very limited. Therefore, in this study, we tried to propose a system that can identify the congestion level information and the characteristics of visitors to a specific tourist destination by using the data on the SNS. For this purpose, posting data uploaded by users and image analysis were used, and the performance of the proposed system was verified using the Naver DataLab system. As a result of comparative verification by selecting three places by type of tourist destination, the results calculated in this study and the congestion level provided by DataLab were found to be similar. In particular, this study is meaningful in that it provides a degree of congestion based on real data of users that is not dependent on a specific company or service.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.137-145
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• 2010

Humans are social existences who connect with others and live together. Communication between human has evolved into diverse formats and contents beyond time and space. Social Network Service builds social relationship based on web and its users increase rapidly in a global environment due to the user-friendly web circumstances, easy access and wide-spread supply of the smart phones. One of the aspect that is taking the center of Social Network Service is a Social Game. Social Games are based on web that has simple rules to play in fictional time and space background. This research is to analyze the relationship between social game, Social Network and user behavior through the Social Games Farm Villand Cafe World.This paper, firstly, is going to observe the characteristics of people who participate in the two social games 'Farm Ville' and 'Cafe World'. It, then, attempts to analyze individual and social human desires depicted in the games. In the social games, personal perception is revealed through an image of "possession", while one's social activity is displayed by an image of "consumption."