• Journal of Korean Society for Quality Management
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• v.30 no.2
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• pp.60-71
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• 2002

The business's paradigm is rapidly changing from product-out to market-in due to Open-door, intensive competitiveness, the variety of the customer's need. Starting from this needs of the times, CRM based on the understanding which company's value coming from the customers is in everyone's mouth. But it can said that it stay in the Immature level at the understanding of this Importance, strategic approach Therefore, the basic objective of this study is to grope the strategic approach that can stand out basic competitive power of department store during the construction of CRM in department store. To achieve the objective of this study, first, we will find out the general error which companies commit during the construction of CRM, second, we will consider the grafting possibility with e-CRM in the case of the CRM's construction in department store. Finally, we will exhibit the conceptual model of department store's CRM which apply the membership card for effectiveness of the Customer Relationship Management.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.1
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• pp.34-40
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• 2014

Today, with the wide use of mobile devices, the amount of business transactions conducted through such devices is increasing drastically. However, there are several limitations in the area of authentication for mobile use, which requires strong authentication mechanisms to satisfy security and convenience requirements. The proposed model and application system provide a framework to ensure the security and reliability of the flow of biometric information for telebiometric applications using mobile devices. We also specify protocols for each model and implement a mobile telebiometric application to improve security vulnerabilities compared to storage in a microSD match on card (MOC) based on the proposed model. As a consequence of this implementation, we propose substantial guidelines for security countermeasures from both technical and managerial perspectives in order to establish a safe mobile environment for the use of telebiometric systems.

• Proceedings of the CALSEC Conference
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• 1999.11a
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• pp.798-812
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• 1999

최근의 급격한 전자상거래 시장의 확대는 21세기 기업의 생존전략으로 부각되고 있으며, 각 기업에서 적극적으로 추진되고 있다. 이러한 전자상거래가 활성화되기 위해서는 사이버 스페이스상에서 현금과 동일한 기능을 수행하는 화폐가 필요하다. 이렇게 전자상거래에서 통용 가능한 화폐를 디지털 화폐(Digital Cash)라고 하며, 전자상거래 구현을 위한 핵심 기술이 된다. 디지털 화폐에 관한 기술 개발 및 사용에 관한 검토는 이미 미국, 일본 등을 중심으로 적극적으로 추진되고 있으며, 상업적으로도 충분히 성공하는 사례가 제시되고 있다. 본 연구에서는 전자상거래 활성화를 위한 디지털 화폐의 활용에 관한 연구로, 현재 부산에서 성공적으로 수행되고 있는 디지털 화폐인 “하나로교통카드(HANARO Traffic Cand)”를 중심으로 디지털 화폐의 성공 가능성에 대하여 검토한다. 여기에서는 하나로교통카드 추진 배경 및 추진 경위, 하나로교통카드의 성공 요인 분석 등을 수행하여, 향후 디지털 화폐가 전자상거래에서 성공할 수 있는 방안에 대하여 검토한다.

• Journal of Multimedia Information System
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• v.5 no.2
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• pp.99-104
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• 2018

Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1052-1055
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• 2013

인맥이란 정계, 재계, 학계 따위에서 형성된 사람들의 유대 관계를 뜻한다. 인맥은 거미줄과 같이 서로 뒤엉켜 있고 여러 요인들이 작용하기 때문에 효율적인 인맥 관리를 하기 위해선 많은 시간과 노력이 필요하다. 스마트폰 명함관리 어플리케이션은 모바일 카메라를 이용하여 명함정보를 디지털화 하여 이용하고 있지만 모바일에 정리된 명함의 정보들을 시각화하는 기술은 미흡하다. 따라서 본 논문에서는 명함의 요인들 중 이름, 직급, 회사명, 회사주소, 전화번호, 이메일 주소의 데이터를 이용하여 데이터 시각화 요소를 설계하고 사회연결망 이론을 적용하여 소시오그램 형태로 나타내어 효율적인 인맥 관리가 이루어 질 수 있는 명함관리 시스템 시각화 모형을 설계하였다.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.99-106
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• 2023

Now a days, large volumes of data is accumulating in every field due to increase in capacity of storage devices. These large volumes of data can be applied with data mining for finding useful patterns which can be used for business growth, improving services, improving health conditions etc. Data from different sources can be combined before applying data mining. The data thus gathered can be misused for identity theft, fake credit/debit card transactions, etc. To overcome this, data mining techniques which provide privacy are required. There are several privacy preserving data mining techniques available in literature like randomization, perturbation, anonymization etc. This paper proposes an Enhanced Hybrid Privacy Preserving Data Mining(EHPPDM) technique. The proposed technique provides more privacy of data than existing techniques while providing better classification accuracy. The experimental results show that classification accuracies have increased using EHPPDM technique.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.30-45
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• 2024

This study introduces an effective method for predicting individual local tax delinquencies using prevalent machine learning and deep learning algorithms. The evaluation of credit risk holds great significance in the financial realm, impacting both companies and individuals. While credit risk prediction has been explored using statistical and machine learning techniques, their application to tax arrears prediction remains underexplored. We forecast individual local tax defaults in Republic of Korea using machine and deep learning algorithms, including convolutional neural networks (CNN), long short-term memory (LSTM), and sequence-to-sequence (seq2seq). Our model incorporates diverse credit and public information like loan history, delinquency records, credit card usage, and public taxation data, offering richer insights than prior studies. The results highlight the superior predictive accuracy of the CNN model. Anticipating local tax arrears more effectively could lead to efficient allocation of administrative resources. By leveraging advanced machine learning, this research offers a promising avenue for refining tax collection strategies and resource management.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.6
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• pp.60-67
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• 2008

At present, RFID system is highly welcomed as a substitute system with its bar code recognition system and self recognition equipment. Consequently, the system has multi applications and can be complementing to its security. In particular, RFID system is significantly related with electronic transaction equipments : transportation card, ID card in check point, attendance sheet. Based upon these characteristic, the system is becoming extremely popular in the field of logistics, harbor and stock management, animal control and product circulation & distribution. In this dissertation, I would like to present a more efficient and stable remote entry control system with the network-based TCP/IP. It is a simple example of ubiquitous computing function. Above all, approved protocol system should be applied to the remote entry control function. Its efficient function with the applied approval protocol based-remote entry control system should be confirmed. Therefore, a preliminary test should be prerequisite in automatic entrance function with the embedded and TCP/IP-based RFID system.

• Journal of Navigation and Port Research
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• v.32 no.3
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• pp.185-192
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• 2008

This paper firstly aims to classify the applicability of the Balanced Scorecard approach to Korean ocean-going shipping firms' management system. The applicability of this approach from Korean shipping firms using Balanced Scorecard will create more effective and efficient organizational performance with reflecting non-financial indexes and making a balance among missions in organization. Secondly, the paper suggests positive information and theoretical evidences to improve Korean shipping firms' management system with examining an availability of the Balanced Scorecard as one method of management tools. So these factors are analysed by structural equation model. This study provides CEO in Korean ocean-going shipping firm the guideline and availability of the Balanced Scorecard as to what kinds of factors should be considered and what is the most critical factor to adopt the BSC into their business.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.89-98
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• 2015

To celebrate the convergence era, Park Geun-Hye government has adhered to the principle sets out to secure revenue no tax increase due to the underground economy legalization, etc. Recently due to the tax deduction policies such as cash receipts and credit card is like getting better transparency on income. However, focusing on the self-employed Evaded income scale is increasing steadily. For the underground economy legalization, it has the plan to increase the transparency of the capital market due to the strengthening of the cash receipt system and the mobile payment market. The purpose of this study is that it hopes the domestic mobile payment market is expanding for the underground economy legalization. To this end, domestic financial companies are hoping to develop a variety of additional services. And the mobile payments market is hoping to gain the trust our customers due to safety and security, etc. As a result the underground economy is expected to disappear naturally.