• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.797-800
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• 2008

Online signature verification system is widely used in banking account, credit card and so on, because system for online signature verification is easy to implementation and inexpensive. Therefore there are a lot of study on online signature verification. However there is little research about online signature is safe or not. This paper shows a way of online signature estimation using various information of signature. This paper make a experiment about relation sorority grade of online signature and 2-D information of online signature like the number of strokes and cross points, density of points, standard deviation of direction, velocity and acceleration, lengths of signature and convex hull etc. Finally, this paper presents several features of safe online signature.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.49-54
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• 2004

Ubiquitous computing support to use various informations through any machine which can connect the computer in any where and any time. Recently barcode and RFID which is improved business model to store large scale information and certify security in on- and off-line internet technology is applied the credit curd and payment service and so on However this technology has serious problem that RFID In this paper, we investigate method used example of 2D barcode and RFID and compare and analysis characteristics of recent technology to solve former problem in Ubiquitous environment.

• Journal of the Korean Data and Information Science Society
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• v.11 no.2
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• pp.347-357
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• 2000

In this study, the buying pattern of consumers in domestic e-business is analyzed by conjoint analysis. We showed the followings through online survey: the consumers prefer comprehensive distributing company to broker type company, the product of the well-known company to that of the specialized company in brand, credit to e-money for payment. Quick delivery and the convenience in exchanges and refunds are more preferable.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.117-122
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• 2009

In these days, world economic crisis is getting worse and most of us are having difficulties in handling financial balance. By noticing that credit card is the most important payment method of individuals, we developed e-receipt system, which helps a person easily keep track of credit card spendings by showing purchase and transaction details in real-time. We've used embedded software engineering techniques in developing the e-receipt system. The system we developed here will benefit most of us by preventing over-spending of credit cards and will lead to healthy spending habits.

• Journal of Distribution Research
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• v.7 no.1
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• pp.21-40
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• 2002

The purposes of this study were to examine the conceptual structure of consumer characteristics and marketing elements affecting impulsive buying behavior of the CATV home-shopper on fashion products, and to compare the differences of consumer characteristics and marketing elements between impulsive buying shoppers and non-impulsive buying shoppers in CATV home-shopping. We collected data from 263 females of CATV home-shoppers in Busan. Data were analyzed by factor analysis, t- test, $\chi$2-test, and discriminant analysis. The results showed that the exploratory tendency of CATV home-shoppers was consisted of Patronage-orientation, and Product- orientation. The marketing elements perceived by CATV home-shoppers were composed of Promotion, Product and Payment method. There were differences of consumer characteristics and marketing elements between impulsive buying shoppers and non impulsive buying shoppers. Especially, impulsive tendency of shoppers and promotion factor of marketing were significant variables in the impulsive buying behavior of CATV home-shopping. The results provide information about impulsive buying behavior in CATV home-shopping, useful to consumer behavior researchers and retailers.

• 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.