• The KIPS Transactions:PartD
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• v.10D no.3
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• pp.559-566
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• 2003

As cell phone and PDA have been in common use recently, there is a growing tendency to utilize the mobile terminals for M-Commerce. The information security and the receipt of e-trade are very important to support reliable digital transactions in wireless environment as in wired environment. Even though some work such as WML digital signature and WPKI has been studied for M-Commerce, there are several problems on the aspects of the functional limitation of the mobile terminals and the unsecure data transformation of WAP gateway. In this study we have designed and implemented a prototype system of issuing and verifying the electronic receipt that guarantees authentication, data integrity and non-repudiation for secure mobile e-commerce. Moreover, we have enhanced the system performance by letting the trusted independent server verify and manage the electronic receipt.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.763-765
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• 2001

최근 휴대폰 보급의 활성화에 따라 무선인터넷 사용 및 무선 환경에서의 전자 상거래가 빠르게 증가 하고 있다. 유선 환경상에서와 마찬가지로 무선 환경상에서의 전자상거래 역시 소비자와 판매자가 서로를 신뢰할 수 있는 시스템이나 기법이 필요하다. 무선환경에서의 보안을 위해 WML 전자서명과 WPKI 등 여러 가지 방법들이 활발히 연구중이나 단말기 성능 제한과 WAP 게이트웨이에서 데이터 변환으로 인한 보안문제 등과 같이 현실적으로 많은 문계점을 가지고 있다. 본 논문에서는 보다 놓은 신뢰도를 얻을 수 있도록 유선환경과 무선환경을 접목시킨 신뢰성 있는 전자영수증 발급시스템을 제안한다. 시스템에서는 전자 서명을 이용한 전자영수증을 발급함으로써 판매자 및 소비자의 신원을 보장하고 판매자의 부인봉쇄효과를 갖는다. 또 무선 단말기의 단점을 보완하고자 신뢰할 수 있는 검증 서버를 설 치하여 영수증 검증 및 보관기능을 제공한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.435-436
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• 2021

본 논문에서는 RPA(Robotic Process Automation) Tool 개발 과정 중 OCR기법을 활용한 영수증 인식 후 가계부 생성에 관한 자동화 처리 과정을 기술한다. 개발된 RPA 툴은 AI분야에 사용될 데이터의 데이터 전처리 기능을 제공하고 그 외에 반복적으로 사용되는 기능들의 자동화를 제공한다. 그 중 영수증을 이용하여 가계부 작성을 자동으로 처리해주는 기능은 반복적이고 시간이 많이 소요되는 작업으로 이 기능을 활용하면 작업의 수행시간을 단축하고 효율적인 관리가 가능하다.

• Information Systems Review
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• v.10 no.2
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• pp.137-158
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• 2008

Rapid development of various information technologies creates new opportunities in online and offline markets. In this changing market environment, customers have various demands on new products and services. Therefore, their power and influence on the markets grow stronger each year. Companies have paid great attention to customer relationship management. Especially, personalized product recommendation systems, which recommend products and services based on customer's private information or purchasing behaviors in stores, is an important asset to most companies. CRM is one of the important business processes where reliable information is mined from customer database. Data mining techniques such as artificial intelligence are popular tools used to extract useful information and knowledge from these customer databases. In this research, we propose a recommendation system that predicts customer's purchase intention. Then, customer's purchasing intention of specific product is predicted by using data mining techniques using receipt data set. The performance of this suggested method is compared with that of other data mining technologies.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.123-131
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• 2021

The Fourth Industrial Revolution was triggered by data-driven digital technologies such as AI and big data. There is a rapid movement to expand the scope of data utilization to the privacy area, which was considered only a protected area. Through the revision of the Data 3 Act, laws and systems were established that allow personal information to be freely transferred and utilized under their consent. But, it will be necessary to support the platform that encompasses the entire process from collecting personal information to managing and utilizing it. In this paper, we propose a platform model that can be applied to building mydata ecosystem using personal information. It describes the six essential functional requirements for building MyData platforms and the procedures and methods for implementing them. The six proposed essential features describe consent, sharing/downloading/ receipt of data, data collection and utilization, user authentication, API gateway, and platform services. We also illustrate the case of applying the MyData platform model to real-world, underprivileged mobility support services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.15-17
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• 2021

Handwriting recognition research is mainly focused on deep learning techniques and has achieved a great performance in the last few years. Especially, handwritten Thai digit recognition has been an important research area including generic digital numerical information, such as Thai official government documents and receipts. However, it becomes also a challenging task for a long time. For resolving the unavailability of a large Thai digit dataset, this paper constructs our dataset and learns them with some variants of the CNN model; Decision tree, K-nearest neighbors, Alexnet, LaNet-5, and VGG (11,13,16,19). The experimental results using the accuracy metric show the maximum accuracy of 98.29% when using VGG 13 with batch normalization.