• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.12
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• pp.31-40
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• 2009

Tourist cities as like Las Vegas in USA, Shanghai and Hong Kong in China show various architectural outdoor lighting methodologies and techniques. For these three cities, architectural outdoor lighting methods and techniques were investigated, and the luminous values of advertising illuminants as well as the maximum and minimum luminous values on the walls were measured. Then, based on current CIE luminance standard and IES recommended luminance ratio, characteristics of architectural outdoor lighting in each city are analyzed through the absolute and relative measured luminance values.

• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.903-911
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• 2008

Association rule mining searches for interesting relationships among items in a given large database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. Many data is most quantitative data. There is a need for partitioning techniques to quantitative data. The partitioning process is referred to as binning. We introduce several binning methods ; parameter mean binning, equi-width binning, equi-depth binning, clustering-based binning. So we apply these binning methods to several distribution types of quantitative data and present the best binning method for association rule discovery.

• Journal of Multimedia Information System
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• v.4 no.4
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• pp.289-294
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• 2017

In this paper, we implement to make the character content with the floating hologram. The floating hologram is the one of hologram techniques for projecting the 2D image to represent the 3D image in the air using the glass panel. The floating hologram technique is easy to apply and is used in exhibitions, corporate events, and advertising events. This paper uses both the depth information and the unreal engine for the floating hologram. Simulation results show that this method can make the character content to follow the movement of the user in the real time by capturing the depth video.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.12
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• pp.1455-1462
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• 2014

In the future we are likely to see the development of public media with traditional media is out of the screen using a digital signage media facade. The purpose of searching for effective production and planning methods and message effects when planning messages the public can empathize with and accept. In this paper, we want to include the utilization of production techniques and media facade by applying culture and art and presenting how this can be applied to corporate advertising.

• Journal of Power System Engineering
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• v.9 no.1
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• pp.57-63
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• 2005

In the calendar and the advertising catalog, the surface is usually coated by coating polypropylene film. The delamination failure of coating film depends on surface roughness and quality of the substrate paper. In this paper, the mechanisms of delamination failure between the coating film and the paper is investigated by using the root cause analysis as one of techniques of reliability evaluation. The papers used in failure analysis are three kind products made by two domestic and one foreign companies. It found that the main causes of delamination failure between the coating film and the paper were the creation of microvoids caused by shape of filler and their growth caused by contraction of paper.

• Korean Journal of Organic Agriculture
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• v.18 no.4
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• pp.463-487
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• 2010

This work is described as an early effort to study organic products marketing. Discusses the characteristics, barriers and vitalization strategies of developing new markets in an environment of increasing consumer awareness and marketability of organic products. Barriers to developing new markets for organic products include lack of basic information or poor understanding among farmers of sustainable techniques and practices, poor access to markets, high start-up costs, lack of understanding the developing market, uncertainty in marketing and pricing, consumer habits, inadequate financing, including resistance to paying premium prices, misinformation and misapprehension concerning the production of organic products. Recommends strategies for implementing sustainable systems, e.g., involve government agencies, educating and organizing both farmers, processors, and consumers developing marketing and distribution programs. Examines business strategies that have successfully targeted markets, such as advertising, labeling, public relations and communications, gaining consumer trust, partnerships, and diversifying operations.

• Proceedings of the Korean Reliability Society Conference
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• 2005.06a
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• pp.199-208
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• 2005

In the calendar and the advertising catalog, the surface Is usually coated by coating polypropylene film. The delamination failure of coating film depends on surface roughness and quality of the substrate paper. In this paper, the mechanisms of delamination failure between the coating film and the paper is investigated by using the root cause analysis as one of techniques of reliability evaluation. The papers used in failure analysis are three kind products made by two domestic and one foreign companies. It found that the main causes of delamination failure between the coating film and the paper were the creation of microvoids caused by shape of filler and their growth caused by contraction of paper.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.1738-1764
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• 2019

With the advent of big data, deep learning technology has become an important research direction in the field of machine learning, which has been widely applied in the image processing, natural language processing, speech recognition and online advertising and so on. This paper introduces deep learning techniques from various aspects, including common models of deep learning and their optimization methods, commonly used open source frameworks, existing problems and future research directions. Firstly, we introduce the applications of deep learning; Secondly, we introduce several common models of deep learning and optimization methods; Thirdly, we describe several common frameworks and platforms of deep learning; Finally, we introduce the latest acceleration technology of deep learning and highlight the future work of deep learning.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.2
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• pp.197-211
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• 2017

Modernization drastically changed the cosmetic culture of Korea and Japan. A classic case that shows this is the appearance of the term 'Hyangjang (香粧)'. This paper investigated the background to the formation of the term Hyangjang (香粧), and reviewed the aspects of cosmetic culture that changed with the emergence of Hyangjangpum (香粧品), or cosmetics containing perfume. The investigation revealed that the term Hyangjang (香粧) appeared for the first time in Hirano (1899), a literature published in the Meiji period in Japan, and that the new term Hyangjang (香粧) had been formed against the background of advanced Western synthetic perfume and played an important role in contemporary techniques for the manufacture of cosmetics. The term Hyangjang (香粧) and cosmetics containing perfume, or Hyangjangpum (香粧品) were then introduced from Japan to Korea. In Korea, the term 'Hyangjang (香粧)' appeared for the first time in an advertising copy written by Hyeon Hui-un, a pioneer of the Korean modern theater movement during the period of Japanese colonial rule. At that time, cosmetic companies in Korea and Japan were releasing cosmetic products that contained perfume that stimulated a women's desire to purchase them by emphasizing 'fragrance' in their advertising. Existing public tendencies to regard a fragrant smell from a made-up face as vulgar were changing and the public perception of fragrance were also changing. The appearance of Hyangjangpum (香粧品) indicates that the existing cosmetic culture revolving around visual sense changed into a complex cosmetic culture involving olfaction. This change in culture is significant in that it heralded the direction of future development towards cosmetic culture that uses increase combinations of different senses including touch, taste, and hearing.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.21-30
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• 2023

The study proposes a model that utilizes Python-based deep learning text classification techniques to detect the legality of illegal financial advertising posts on the internet. These posts aim to promote unlawful financial activities, including the trading of bank accounts, credit card fraud, cashing out through mobile payments, and the sale of personal credit information. Despite the efforts of financial regulatory authorities, the prevalence of illegal financial activities persists. By applying this proposed model, the intention is to aid in identifying and detecting illicit content in internet-based illegal financial advertisining, thus contributing to the ongoing efforts to combat such activities. The study utilizes convolutional neural networks(CNN) and recurrent neural networks(RNN, LSTM, GRU), which are commonly used text classification techniques. The raw data for the model is based on manually confirmed regulatory judgments. By adjusting the hyperparameters of the Korean natural language processing and deep learning models, the study has achieved an optimized model with the best performance. This research holds significant meaning as it presents a deep learning model for discerning internet illegal financial advertising, which has not been previously explored. Additionally, with an accuracy range of 91.3% to 93.4% in a deep learning model, there is a hopeful anticipation for the practical application of this model in the task of detecting illicit financial advertisements, ultimately contributing to the eradication of such unlawful financial advertisements.