• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.1-8
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• 2020

In recent years, due to the exponential increase in internet data, many fields such as deep learning have developed, but side effects generated as commercial advertisements, such as viral marketing, have been discovered. This not only damages the essence of the internet for sharing high-quality information, but also causes problems that increase users' search times to acquire high-quality information. In this study, we define advertisement as "a text that obscures the essence of information transmission" and we propose a model for filtering information according to that definition. The proposed model consists of advertisement filtering and advertisement filtering performance improvement and is designed to continuously improve performance. We collected data for filtering advertisements and learned document classification using KorBERT. Experiments were conducted to verify the performance of this model. For data combining five topics, accuracy and precision were 89.2% and 84.3%, respectively. High performance was confirmed, even if atypical characteristics of advertisements are considered. This approach is expected to reduce wasted time and fatigue in searching for information, because our model effectively delivers high-quality information to users through a process of determining and filtering advertisement paragraphs.

• Journal of the Korean Society for information Management
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• v.22 no.4 s.58
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• pp.5-22
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• 2005

As the development of advertising industry and media the research about an advertisement get accomplished. As the result information resources called on the advertising materials are on an Increasing trend. However, it looks into the classification system In advertising field of KDC, the problems are as the follows : (1) the classification items are too incomplete, (2) the main class is badly arranged. The reason have no regard for the correlation with a science. So, it gives rise to confusion to the librarian and user. The purpose of the study is to present the improvement plan on the classification system in advertising field of KDC. In order to build the improvement plan, the four steps are utilized. The first step Is to investigate the characteristic of sciences on advertising and a type. The second one is to survey the current status of the library classification as KDC, NDC, DDC, and LCC. The third one is to analyse the classification system of library and web site on the advertising. The forth one is to grasp the problems on the classification system In advertising field of KDC.

• Journal of the Korean Society of Costume
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• v.50 no.7
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• pp.165-179
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• 2000

This research centers on studying the function and characteristic of fashion illustration for advertisement and publication which is, among plenty of fashion illustration's functions, the commercial one. Here are some purposes of the research. First, it presents the function of fashion illustration. Second, under the contemporary circumstance of specialization and subdivision. It givers people the better understanding of fashion illustration by providing a variety of its classification bases other than the typical, simple grouping of style drawing and fashion illustration. Third, this research helps fashion illustration establish itself as commercial art by showing how fashion illustration is utilized in the field as a part of the fashion industry. The methods and contents of the research are described that the concept of fashion illustration, characteristic, classification bases and commercial function are presented and than the data of fashion illustration which hale been used as goods since 1990 in the nation are selected in order to analyze the media for the application of fashion illustration. its expression methods, factors and images. By doing so, advertising fashion illustration are much less than those of published fashion illustration and even most cases of advertising fashion illustration are related just to poster advertisement such as magazines, fashion events or public subscription. The published fashion illustration isn't also attracting the public since it focuses on fashion information books, fashion magazines or fashion -clothing books. Another finding is that the expression style of fashion illustration is not various or distinctive. The expression remains in the trends of painting, figurative drawing, sometimes adopts post-modernism which is reflected in popular cartoon and figures exaggerates or simplifies the human body. The image of fashion illustration is simple. casual or feminine in the rough. For the development of commercial fashion illustration, it is required to produce fashion illustrators, not works but goody, with various concepts appealing to the public.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.11B
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• pp.1277-1284
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• 2011

Today, many applications use 80 port, which is a basic port number of HTTP protocol, to avoid a blocking of firewall. HTTP protocol is used in not only Web browsing but also many applications such as the search of P2P programs, update of softwares and advertisement transfer of nateon messenger. As HTTP traffics are increasing and various applications transfer data through HTTP protocol, it is essential to identify which applications use HTTP and how they use the HTTP protocol. In order to prevent a specific application in the firewall, not the protocol-level, but the application-level traffic classification is necessary. This paper presents a method to classify HTTP traffics based on applications of the client-side and group the applications based on providing services. We developed an application-level HTTP traffic classification system and verified the method by applying the system to a small part of the campus network.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.10
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• pp.4958-4970
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• 2019

As technology advances, the amount of fake news is increasing more and more by various reasons such as political issues and advertisement exaggeration. However, there have been very few research works on fake news detection, especially which uses grammatical transformation on deep neural network. In this paper, we shall present a new Fake News Detection Model, called FAGON(Fake news detection model using Grammatical transformation On deep Neural network) which determines efficiently if the proposition is true or not for the given article by learning grammatical transformation on neural network. Especially, our model focuses the Korean language. It consists of two modules: sentence generator and classification. The former generates multiple sentences which have the same meaning as the proposition, but with different grammar by training the grammatical transformation. The latter classifies the proposition as true or false by training with vectors generated from each sentence of the article and the multiple sentences obtained from the former model respectively. We shall show that our model is designed to detect fake news effectively by exploiting various grammatical transformation and proper classification structure.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.149-158
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• 2022

For this study, a total of 297 TV advertisements and digital video advertisements were selected as analysis targets among domestic corporate advertisements executed for two years from 2020 to 2021. As a result of the content analysis, it was found that CSR public service advertisements, CSV advertisements, and ESG advertisements in 2020, when the corona pandemic began in earnest and ESG of companies emerged as a business management topic, showed a markedly higher execution frequency than in 2021. As a result of examining the distribution of corporate advertisement types by media, it was found that companies were executing various corporate advertisements through digital media rather than traditional media such as TV. As a result of examining the advertising appeal strategies according to the types of corporate advertisements, it was found that the emotional appeal strategy was most frequently used among the rational appeal, emotional appeal, and mixed appeal as a whole in corporate advertising. As a result of analyzing the advertisement model types according to the classification of corporate advertisements, it was found that corporate advertisements use a general model differently from brand advertisements. Lastly, as a result of examining the distribution of advertisement model types according to media types, it was found that the celebrity model is more frequently used in TV advertisements for digital advertisements.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.6
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• pp.3230-3253
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• 2017

Android malware steals users' private information, and embedded unsafe advertisement (ad) libraries, which execute unsafe code causing damage to users. The majority of such traffic is HTTP and is mixed with other normal traffic, which makes the detection of malware and unsafe ad libraries a challenging problem. To address this problem, this work describes a novel HTTP traffic flow mining approach to detect and categorize Android malware and unsafe ad library. This work designed AndroCollector, which can automatically execute the Android application (app) and collect the network traffic traces. From these traces, this work extracts HTTP traffic features along three important dimensions: quantitative, timing, and semantic and use these features for characterizing malware and unsafe ad libraries. Based on these HTTP traffic features, this work describes a supervised classification scheme for detecting malware and unsafe ad libraries. In addition, to help network operators, this work describes a fine-grained categorization method by generating fingerprints from HTTP request methods for each malware family and unsafe ad libraries. This work evaluated the scheme using HTTP traffic traces collected from 10778 Android apps. The experimental results show that the scheme can detect malware with 97% accuracy and unsafe ad libraries with 95% accuracy when tested on the popular third-party Android markets.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.6A
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• pp.129-137
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• 2008

As the use of the internet increases, the distribution of spam mail has also vastly increased. The email's main use was for the exchange of information, however, currently it is being more frequently used for advertisement and malware distribution. This is a serious problem because it consumes a large amount of the limited internet resources. Furthermore, an extensive amount of computer, network and human resources are consumed to prevent it. As a result much research is being done to prevent and filter spam. Currently, research is being done on readable sentences which do not use proper grammar. This type of spam can not be classified by previous vocabulary analysis or document classification methods. This paper proposes a method to filter spam by using the subject of the mail and N-GRAM for indexing and Bayesian, SVM algorithms for classification.

• 한국디지털정책학회:학술대회논문집
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• 2006.06a
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• pp.39-44
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• 2006

The purport of this paper is to deduce political implication and significance of the proposed redress scheme of 'Consumer Collective Lawsuit (hereinunder "CCL")' under way to be introduced by the Korean government via various assessments per each phase of policy implementation process. To this end, the paper classifies the subject policy (referring to CCL) implementation process into 4 phases: policy origination, policy enactment, policy advertisement, and policy execution. Based on the said classification, assessments per each phase together with pros and cons analysis have been conducted. Through the aforementioned analysis, the paper concludes the following political implication and significance of CCL under way of introduction: - 1. In the case of policy origination led by external parties, a social consensus by and from involved parties with various interests is the most critical; 2. Prior feasibility and/or suitability study is also crucial in the policy implementation procedure; 3. To mitigate inter-ministerial conflicts that might arise from the due policy making procedure, democratization of conflict settlement mechanism, and institutionalization of participation in and disclosure of policy making process are cal led upon; and 4. Prior planning wi th respect to the public relation and advertisements of the subject policy on the table poses substantial significance.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2008.05a
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• pp.50-53
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• 2008

Recently as the efficiency of meal area in the neighborhood facilities has decreased, the user is not satisfied about the existing meal area quality. There are problems due to crucial administration due to ineffective use of the meal area and the in-charge. So, a new meal system is coming up with one meal form at one place with time wise classification to satisfy the users and owner. In this plan, the meal area at basement 1 of Korea Advertisement Culture Hall is not just the existing meal area but in day it is a restaurant, at night a vacant hall and in the weekend it is a banquet hall. Such a premium meal area designed by developing the meal area that has different usage as per time slot is named as "M-KITCHEN" and we intend to plan in such a way. The complete "M-KITCHEN"consists largely of entrance/ exit, food distribution area, eating area, specialized restaurant, rest area, kitchen, warehouse etc. This area consists again of multimedia street entrance "M-street", food distribution area "M-kitchen", meal area "M-place", "M-plaza", "Wall pond", "Layer deck", specialized restaurant "M-china", "M-shushi", rest area "Gardening".