• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.871-879
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• 2020

Perceptual Ad-Blocking is a new advertising blocking technique that detects online advertising by using an artificial intelligence-based advertising image classification model. A recent study has shown that these Perceptual Ad-Blocking models are vulnerable to adversarial attacks using adversarial examples to add noise to images that cause them to be misclassified. In this paper, we prove that existing perceptual Ad-Blocking technique has a weakness for several adversarial example and that Defense-GAN and MagNet who performed well for MNIST dataset and CIFAR-10 dataset are good to advertising dataset. Through this, using Defense-GAN and MagNet techniques, it presents a robust new advertising image classification model for adversarial attacks. According to the results of experiments using various existing adversarial attack techniques, the techniques proposed in this paper were able to secure the accuracy and performance through the robust image classification techniques, and furthermore, they were able to defend a certain level against white-box attacks by attackers who knew the details of defense techniques.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.5
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• pp.1373-1387
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• 2012

Contextual advertising is an important revenue source for major service providers on the Web. Ads classification is one of main tasks in contextual advertising, and it is used to retrieve semantically relevant ads with respect to the content of web pages. However, it is difficult for traditional text classification methods to achieve satisfactory performance in ads classification due to scarce term features in ads. In this paper, we propose a novel ads classification method that handles the lack of term features for classifying ads with short text. The proposed method utilizes a vocabulary expansion technique using semantic associations among terms learned from large-scale search query logs. The evaluation results show that our methodology achieves 4.0% ~ 9.7% improvements in terms of the hierarchical f-measure over the baseline classifiers without vocabulary expansion.

• Archives of design research
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• v.15 no.3
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• pp.115-126
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• 2002

The occupational execution technique and the ability of people has been changed along with the change of thinking and the development of complicated social structure. The needs of learner's self-controlled learning system is arise to increase the occupational execution technique and adaptation in such a changing social environment. To meet these needs, we must develop systematic approach on the module-type educational material system. The purpose of this study lies on developing the module-type educational material system and its application in aspects of occupational execution ability. Based on the job analysis of advertising design, 1 analyze the learning ability for the occupational execution and abstract knowledge, function, attitude from each learning category of each learning ability. All these processes are the basis of developing the module-type educational material system. and the system will be appreciated in many other fields not only on advertising design.

• Journal of Korea Game Society
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• v.16 no.6
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• pp.69-78
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• 2016

Outdoor ads such as billboards, banners or posters frequently appears in street maps of FPS games. In this paper, we propose a method for the automatic placement of outdoor advertising in the city area of FPS games. Outdoor ads are from real world products or enterprises and they are managed in a server computer. If the ads data are updated, the advertisements are automatically placed again without modifying source codes. When placing ads, we utilize the real world location of the game player regarding commercial spheres of ads and service types of real world shops. We evaluate priority scores for the available ads based on the collected real world properties and higher priority ads are preferentially placed on the map. The proposed ad placement method makes the game players feel affinity for the placed ads and also it increases the advertising effect.

• Korean Journal of Human Ecology
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• v.2 no.1
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• pp.53-61
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• 1993

The purpose of this research was to find out relationships between the use of fashion information, preference of fashion advertising and fashion leadership. This research was carried out by both the theoretical and empirical study. For the theoretical study, the research of Fashion Leadership was based on the fashion opinion leadership and innovativeness. The study include the analysis of variables influencing fashion leadership, such as use of fashion information preference of fashion advertising, and demographic variables. For the empirical study, fashion leadership was measured by fashion opinion leadership and innovativeness. The variables influencing on the fashion leadership were measured by use of fashion information (marketer-dominated information, consumer-dominated information, neutral information), preference of fashion advertising (dramatic type, feeling type, goods demonstration type), demorgraphic variables (age, years of education, family income, job, marriage). Data were obtained from 313 female in chungbuk area by self-administered questionaire. The datacollected through the questionaire were analyzed by the stastical technique - ANOVA and Duncantest, t-test, stepwise multiple-regression. The results of the study were as follows; 1. There were significant differences on the fashion leadership, fashion innovativeness, fashion opinionleadership according to the marketer dominated information and neutral information. There were significant differences on the fashion leadership, fashion innovativeness, fashion opinion leadership according to the preference of dramatic type. There were significant differences on the fashion opinion leadership according to the preference of goods demonstration type. 2. 30 percent of the total variance of fashion leadership was explained by the six variables: fashion magazines, TV & Radio advertising, clothing of TV talent & singer, years of education, dramatic type, catalogue. 3. When the subjects were divided into five groups(innovative communicators, innovators, opinion leaders, followers, indifferents) according to their innovativeness scores and opinion leadership scores, there were significant differences among groups in most of use of fashion information, preference of fashion advertising variables and in some of demographic variables. 4. There were significant interactions between marketer-dominated information and dramatic type and were significant interactions in goods demonstration type, marketer-dominated information and dramatic type. There were significant interactions between consumer-dominated information and dramatic type. This ariables has the effect on Fashion Leadership by the interactions.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.99-106
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• 2020

The purpose of this study is to find out whether image similarity between celebrities and brands on social network service be a determinant to predict advertising effectiveness. To this end, an advertising effect prediction model for celebrity endorsed advertising was created and its validity was verified through a machine learning method which is a big data analysis technique. Firstly, the celebrity-brand image similarity, which was used as an independent variable, was quantified by the association network theory with social big data, and secondly a multiple regression model which used data representing advertising effects as a dependent variable was repeatedly conducted to generate an advertising effect prediction model. The accuracy of the prediction model was decided by comparing the prediction results with the survey outcomes. As for a result, it was proved that the validity of the predictive modeling of advertising effects was secured since the classification accuracy of 75%, which is a criterion for judging validity, was shown. This study suggested a new methodological alternative and direction for big data-based modeling research through celebrity-brand image similarity structure based on social network theory, and effect prediction modeling by machine learning.

• Journal of the Korean Graphic Arts Communication Society
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• v.30 no.1
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• pp.47-58
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• 2012

The inorganic powder EL lamp was made by screen printing technique with a phosphor ink and a dielectric ink. Value of color coordinates X and Y increased under the condition of supplying driving power to the inorganic powder EL lamp and changing voltage with constant frequency. When frequency was changed under the constant voltage, value of color coordinates X and Y were decreased with increasing frequency. However, level of change of color coordinates X was different from color coordinates Y. When voltage was increased under constant frequency, changing degree of color coordinates X and Y shows similarity. But under the constant voltage with changing frequency, color coordinates X and Y were differently changed that degree of change of color coordinates Y showed five times more than that of color coordinates X. As increasing thickness of phosphor ink and dielectric ink, level of voltage and frequency, color coordinates X and Y were slightly changed. According to the thickness of phosphor ink and dielectric ink, and level of voltage and frequency, color coordinate of color light was changed. Frequency was most important element influencing on the change of color coordinate.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.90-101
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• 2017

This study will analyze that the meaning and the characteristic of Information design type advertising. This study research the advertisement and Information with the issue and explore Information design type advertising samples by doing an in-depth analysis with an expert group and an inexpert group. It attracts customers visualizing sensational information and data as information design technique. It can be classified in to Manual type ad, Identity type ad, Data visualizing type ad. The communication formula of it goes through the keywords: Attention, Curation, Study, and these Curation and Study are new steps which didn't exist before in consumer behavior model. Information used in it comes from common sense or storytelling made by imagination, but there is no example of using false information distorting truth. Not exaggeration and falsehood, interesting which based on confidence creates a bond of sympathy: period time.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.119-133
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• 2020

Recently, as famous YouTubers produce and broadcast videos that receive sponsorship and advertising such as indirect advertising (PPL), a so-called 'back advertising' controversy continues, and not only famous YouTubers but also entertainers are caught up in the issue. It is causing confusion among the public in Korea. This study attempts to find out the public's reaction before and after the controversy of 'back advertising' by YouTubers through comment analysis. Specifically, among text analysis using R programs, we intend to analyze the issue through various methods such as word cloud, qgraph analysis, LDA, and word2vec analysis, a deep learning technique. The target of the analysis was to analyze the channels of three YouTubers who belonged to the controversy of the 'back advertising' YouTuber and uploaded the 'Apology video'. The 5 most recent videos of Muk-bang YouTuber Moon Bok-hee, who has a similar content disposition to SussTV's Han Hye-yeon stylist, which was controversial, and Yang Pang, a YouTuber who showed various contents (August 09, 2020) Criterion and her first 5 videos uploaded were reviewed. As a result of the study, most of the comments that showed positive reactions before the controversy, but after the controversy, it was found that negative reactions accounted for most of the comments. Therefore, this study examines the degree of change of the public about influencers through comments after the controversy over 'back advertising' through various analysis using R program. This research also devises various measures to prevent the occurrence of back advertising of influencers in the future.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.149-163
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• 2021

The 4th industrial revolution refers to the next-generation industrial revolution led by information and communication technologies such as artificial intelligence (AI), Internet of Things (IoT), robot technology, drones, autonomous driving and virtual reality (VR) and it also has made a significant impact on the development of the advertising industry. However, the world is rapidly changing to a non-contact, non-face-to-face living environment to prevent the spread of COVID 19. Accordingly, the role of the 4th industrial revolution and advertising is changing. Therefore, in this study, text analysis was performed using Big Kinds to examine the 4th industrial revolution and changes in advertising before and after COVID 19. Comparisons were made between 2019 before COVID 19 and 2020 after COVID 19. Main topics and documents were classified through LDA topic model analysis and Word2vec, a deep learning technique. As the result of the study showed that before COVID 19, policies, contents, AI, etc. appeared, but after COVID 19, the field gradually expanded to finance, advertising, and delivery services utilizing data. Further, education appeared as an important issue. In addition, if the use of advertising related to the 4th industrial revolution technology was mainstream before COVID 19, keywords such as participation, cooperation, and daily necessities, were more actively used for education on advanced technology, while talent cultivation appeared prominently. Thus, these research results are meaningful in suggesting a multifaceted strategy that can be applied theoretically and practically, while suggesting the future direction of advertising in the 4th industrial revolution after COVID 19.