• 한국인공지능학회지
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• 제5권1호
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• pp.10-17
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• 2017

This study is the first attempt to raise face recognition ability through machine learning algorithm and apply to CRM's information gathering, analysis and application. In other words, through face recognition of VIP customer in distribution field, we can proceed more prompt and subdivided customized services. The interest in machine learning, which is used to implement artificial intelligence, has increased, and it has become an age to automate it by using machine learning beyond the way that a person directly models an object recognition process. Among them, Deep Learning is evaluated as an advanced technology that shows amazing performance in various fields, and is applied to various fields of image recognition. Face recognition, which is widely used in real life, has been developed to recognize criminals' faces and catch criminals. In this study, two image analysis models, TF-SLIM and Inception-V3, which are likely to be used for criminal face recognition, were selected, analyzed, and implemented. As an evaluation criterion, the image recognition model was evaluated based on the accuracy of the face recognition program which is already being commercialized. In this experiment, it was evaluated that the recognition accuracy was good when the accuracy of the image classification was more than 90%. A limit of our study which is a way to raise face recognition is left as a further research subjects.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.55.5-55
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• 2001

The MST (Minimum Spanning Tree) matching algorithm had been used for searching the part accord points extracted from the gray level fingerprint image. The method, however, had some limitations. To obtain the relationship between enrolled and inputted fingerprint, the MST was used to generate the tree graph that represent the unique graph for given fingerprint data. From the graph, the accord points are estimated. However, the shape of the graph highly depends on the positions of the minutiae. If there are some pseudo minutiae caused by noise, the shape of the graph will be different In this paper, to overcome the limitations of the MST, we proposed CRM (Center of Rotation Method) algorithm that found the true part accord points. The proposed method is based on the assumption ...

• 지능정보연구
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• 제25권2호
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• pp.1-23
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• 2019

소비자의 니즈가 다양해지면서 데이터 마이닝과 고도화된 고객관계관리(CRM) 기법을 활용한 체계적인 마케팅 서비스를 제공하는 기업이 증가하고 있으며, KB국민카드는 고객의 결제 데이터 등을 활용하여 고객 개개인의 니즈를 충족시키고 소비자의 평생가치를 극대화하기 위한 전략을 강조하고 있다. 실시간으로 고객의 카드이용과 고객 행동, 위치 정보 등을 감지하여 진행하는 고효율 마케팅 운영시스템인 스마트 오퍼링 시스템을 운영하고 있으며, 다양한 앱 등과 결합하여 더욱 정교화된 서비스를 제공하고 있다. KB국민카드는 스마트 오퍼링 시스템의 성공과 지속적인 성장을 위해 고도화되고 있는 ICT 기술과 인재 확보를 위한 투자를 진행해야 하며, 장기적인 관점에서의 수익확보를 위한 전략을 확립하여 체계적인 진행이 필요하다. 특히, 프라이버시 침해와 개인정보 유출 등의 문제가 쟁점이 되는 현재 상황에서 고객 정보를 활용한 마케팅에 대한 고객의 인식을 긍정적으로 유도하고, 보안성을 강조하는 기업 이미지 형성을 위한 노력이 필요하다. 본 연구는 CRM 전략의 변화 과정을 통해 현재 카드사의 실시간 CRM 전략을 KB 국민카드의 빅데이터 활용전략과 마케팅 활동을 통해 확인하고자 한다.

• 한국의류학회지
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• 제31권8호
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• pp.1222-1230
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• 2007

This study measured the PPL communication effect whether the respondents had purchased the PPL products in the movie or not. The experiment of this study was held to females in their twenties(mostly university or graduate school students), and they answered the questionaries after being exposed to the 15-minute-edited movie. The results were as follows. In cognitive dimension, there were no differences of the recognition and the recall between two groups. In emotional and behavioral dimensions, the group with the purchase experiences of the PPL brands in the movie showed the more positive brand attitude and the higher purchase intention. The implications based on this results are as follows. First, to strengthen the brand image, the brand identity has to be established systematically. Second, the fashion marketers should constantly implement CRM(Customers Relationship Management) to the customers who purchased the brand products to make them loyal customers.

• 복식
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• 제65권7호
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• pp.75-85
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• 2015

The purpose of this study is to examine ways to vitalize cause related marketing (CRM) by proposing character T-shirts The campaign will employ Neo-Pop art, a genre popular with both companies and consumers. Study results are as follows: First, campaign T-shirts on the issue of human alienation resulting from digitalization can be utilized to generate financial profit that can be returned to society. This can lead to the acts of exchange for profit generation, public image improvemen of companies, and enhancement of their external status. As for the non-financial aspect, the campaign could lead to increased awareness of social issues and present opportunities to take actions of improvement. Second, the financial objective of character T-shirts dealing with environmental issue of sustainability involves brand distribution network support and revitalization of promotion such as shopping basket of love and eco-friendly store matching program for eco-friendly campaign. As for the non-financial aspect, it can help raise consumers' awareness of cause related activities such as crowd funding and fundraising and prepare opportunities of direct participation. Third, the financial objective of character T-shirts dealing with natural disaster relief activities on the global level involves brand recognition level increase and enhancement of positive association of companies through emergency relief and articles support as a result of drastic increases in casualties from nature disasters. As for the non-financial aspect, it can induce people's participation in relief activities and lead to the establishment of crisis response procedures. The information on the development of pop-art character T-shirts proposed in this study is expected to be used as basic information on cause marketing of fashion companies in the future, while providing inspiration to related fashion design.