• 한국IT서비스학회:학술대회논문집
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• 2007.05a
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• pp.500-505
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• 2007

디지털 음악상품의 유료화 서비스를 위해 P2P 서비스 업체들은 콘텐츠를 다운로드 할 때 주는 자와 받는 자간에 포인트를 주고받는 것이 일반화되어 있었다. 그러나 이러한 방식은 다운로드 건별로 사용료를 지급해야 할 권리자와 콘텐츠를 명확하게 연결할 수 있는 콘텐츠 식별 방법이 없는 상태에서 진행되는 것이다. 따라서 명확한 음악식별이 중요한데, 불특정 다수가 제공하는 콘텐츠는 일반적으로 정보가 부정확하고 일관성이 결여되어 있어 해시 기술이나 음악인식 기술 등의 신뢰할 수 있는 콘텐츠 식별 방법을 이용하여 저작권 관리를 하여야 한다. 본 연구에서는 해시 기술 및 콘텐츠 인식 기술을 융합하여 두 기술의 장점만을 활용함으로써 해시 기술의 빠른 속도와 콘텐츠 인식 기술의 편리함을 동시에 제공한다. 이를 바탕으로 저작권 DB 관리 방법, 요금 결제 및 정산 방법 등을 이용하여 P2P 서비스의 유료화를 구현하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.77-78
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• 2024

본 논문에서는 O2O 상점의 자동화에 필수적인 객체 인식 모델의 성능 향상을 목표로, 생성 AI 기술을 이용한 데이터 증강 방법을 제시한다. 제안하는 방법은 텍스트 프롬프트를 활용하여 진열대 상품 이미지를 포함한 다양한 고품질 이미지를 생성할 수 있음을 보인다. 또한, 실제에 더 가까운 상세한 이미지를 생성하기 위한 최적화된 프롬프트를 제안하고, Stable-Diffusion과 DALL-E2의 생성 결과를 통해 비교 분석한다. 이러한 접근 방법은 객체 인식 모델의 성능 향상에 영향을 미칠 것으로 기대된다.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.65-72
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• 2020

In this paper, a USB module with fingerprint recognition was designed as a distributed node of blockchain on distributed ID (DID, distributed ID) for user identification. This biometric-linked fingerprint recognition device was verified for the real-time authentication process of authentication transaction with FIDO(Fast IDentity Online) server. Blockchain DID-based services were proposed like as a method of individual TV rating survey, and recommending service for customized shopping channels, and crypto-currency, too. This DID based remote service can be improved by recognizing of channel-changing information through personal identification. The proposed information of production purchase can be shared by blockchain. And customized service can be provided for the utilization of purchase history in shoppingmall using distributed ID. As a result, this blockchain node-device and Samsung S10 Key-srore with FIDO service can be certified for additional transactions through various biometric authentication like fingerprint, and face recognition.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.309-318
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• 2018

In this study, we investigated subjective perceptions of one retailer's PB products for large retailers by applying the Q methodology to examine subjective trends of consumers who purchased and experienced PB products at home. In this study, we examine how HMR-type PB products developed and released by large retailers according to the demographically changing social structure represent the meaning and subjective acceptance of PB products in a single licensee through Q methodological studies. The purpose of this paper is to propose various direction and improvement plan of food product development and release for one license of large distribution company in the future. Based on these research problems, five types of type analysis results were derived. Specifically, the first type (N = 5): Brand image trust type, the second type (N = 5): NB product preference type, the third type(N = 2): Easy cooking preference type, and fourth type (N = 2): Pursuing taste for price type and fifth type (N = 2): Quantitative pursuit for price type.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.3
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• pp.121-129
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• 2024

The rapid advancement of digital technology and the COVID-19 pandemic have significantly accelerated the growth of online commerce, highlighting the need for support mechanisms that enable small business owners to effectively respond to these market changes. In response, this paper presents a foundational technology leveraging the Online to Offline (O2O) strategy to automatically capture products displayed on retail shelves and utilize these images to create virtual stores. The essence of this research lies in precisely identifying and recognizing the location and names of displayed products, for which a single-class-targeted, lightweight model based on YOLOv8, named ESD-YOLOv8, is proposed. The detected products are identified by their names through feature-point-based technology, equipped with the capability to swiftly update the system by simply adding photos of new products. Through experiments, product name recognition demonstrated an accuracy of 74.0%, and position detection achieved a performance with an F2-Score of 92.8% using only 0.3M parameters. These results confirm that the proposed method possesses high performance and optimized efficiency.

• Science of Emotion and Sensibility
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• v.5 no.2
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• pp.35-50
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• 2002

The purpose of this research is 1) to search for the possibility of DMDI(Digitalwear based on motion-detective input technology) as an apparel product and 2) to develop designs of DMDI based on consumers' demand. This research consists of part I and part Ⅱ. In partⅠ, six design guidelines for designing of DMDI and five feasible applications were suggested as the result of an empirical study. In part Ⅱ of this research, two basic directions for designing of DMDI were suggested on the basis of the findings in part Ⅰ. Total 5 design prototypes of DMDI were developed, for which ‘wearability as an apparel product’ and ‘usability as an physical interface’ were intensively considered.

• Journal of Distribution Research
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• v.13 no.4
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• pp.47-70
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• 2008

The purpose of this study is to find out characteristic of a product which has the most influence when consumer makes a purchase, and analyze if actual consumers make a purchase with recognition of the brand difference between PB and NB brands using conjoint analysis. As a result, the main factor which consumers consider when they purchase a product is the quality but the factor for brands (NB or PB) do not have an effect on their purchasing. The reason why consumers little consider a factor for PB or NB is that they do not have much knowledge of PB and they recognize the PB as a "me-too" product of NB. Therefore, retailers should develop more differentiated product in order to be recognized by consumers.

• Proceedings of KHEA Conference
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• 2005.10a
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• pp.153-153
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• 2005

• The monthly packaging world
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• s.112
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• pp.111-111
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• 2002

• International Area Studies Review
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• v.13 no.3
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• pp.613-636
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• 2009

This paper examines the performance of assessing sponsors and non-sponsors recall and recognition at the 2008 Beijing Olympic Games perceived by Korean and Chinese university students. Using a sample of 1,573 respondents, a survey was administered in Seoul and Beijing before and after Games to compare the recall and recognition that changed between two periods. The findings reveal that the effectiveness of the 2008 Beijing Olympic sponsorship has was lower than we expected. Results were founded that while Samsung(mobile), Coca-cola, McDonald's, and Visa achieved the desired sponsorship marketing effectiveness in Korea. On the other hand, non-sponsors of Nike, Dell, AIG, Samsung(computer) and Hyundai led to obtain the benefit and resulted in increasing consumer confusion as to who is a sponsor. In China, Samsung, Coca-cola, Lenovo, Volkswagen, Visa, and PICC achieved the desired sponsorship marketing effectiveness. On the other hand, Lining, Nokia, KFC, China Merchants Bank had some impact on the effectiveness of a rival brand from an official sponsor's product category. The paper concludes by considering some issues for sponsorship marketers.