• Journal of Digital Convergence
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• v.14 no.10
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• pp.311-317
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• 2016

In a smart commerce market, customers are seeking customized shopping services optimized for personal tastes and customized shopping experiences based on customers' tastes. Accordingly, individually customized services are needed more than anytime now. According to this demand, companies provide messaging services to the consumer, but do not include a personalized service for each individual. The purpose of this study is to combine the techniques of personalized services with messaging services and presents system construction plan and integrated model system for corporate messaging services and thereby possible are maximizing marketing effects and analyzing effects of cost savings. Applying the operation of the integrated model is proposed and message transmission scheme through effective personalization can be applied to personalized model using the personalized information according to customers' requirements. The integrated model of personalization on this study is expected to be highly effective when combined with the search service.

• Information Systems Review
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• v.25 no.2
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• pp.205-227
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• 2023

Recently, Virtual Human(VH) has begun to appear in various media, not only on social media, but also in advertisements, music sources, and dramas. Virtual human has become a primary marketing tool for companies, but there also exist concerns when the companies do not disclose the identities of virtual humans. Accordingly, it is necessary to examine users' responses toward content that features virtual humans. This study aimed to examine how the exposure of virtual humans in the content affects users' perceptions. Therefore, the study defined the concept of 'VH Disclosure(VHD)', referring to the exposure of the virtual human's identity, and explored the impact of VH disclosure on attitude toward the ad (Hedonism, Utilitarianism, and Interestingness) and source credibility (Trustworthiness and Expertise). The study conducted an experimental survey with 302 respondents. Regardless of when the ad featured a VH or a human, the results showed that there was no significant difference between users' attitudes and source credibility. The results revealed that it was more effective to disclose the VH in social media feeds than directly reveal the VH's identity in the content. Therefore, this study utilizes a new concept of 'VH Disclosure(VHD)' to enhance the understanding of VH and contributes to establishing marketing strategies optimized for consumers in the creation of virtual human-related content.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.201-202
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• 2017

시중에는 범용 전자상거래 솔루션이 다수 출시되어 있으나, 소규모 B2B 유통업체 및 그 소비자를 대상으로 하는 특수한 요구사항을 충족하기에 힘든 문제점으로 인하여, 해당 분야에서는 전통적인 방식의 상거래 위주로 이루어지고 있다. 본 논문에서는 소규모 B2B 유통업체의 요구사항에 최적화된 전자상거래 시스템을 제안하고, 제안한 시스템의 특징과 그 개발사례를 제시한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8B
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• pp.1251-1258
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• 2010

Major utilities have been focusing on R&D and business of AMI system which plays a vital role in SmartGrid whose concept is to optimize energy efficiency with exchanging real time information between utilities and consumers based on IT technologies in power grid. In this paper, we introduce KEPCO's AMI business plan, the AMI System architecture, designed core devices, communication networks and value added services, and also explore technical and business characteristics of KEPCO's AMI system.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.763-766
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• 2019

최근 사람들의 삶의 질이 향상됨에 따라 기호품인 와인의 수요가 늘어나고 있다. 그러나 와인은 생산하는데 길게는 수십 년이 걸리는 고가의 제품이므로 소비자가 와인과 잘못 구매했을 때의 기회비용이 크다. 본 논문에서는 전문 와인 테이스터 들의 후기 빅 데이터를 활용하여 딥러닝 기반 추천시스템을 개발을 다룬다. 테이스터 들의 후기 빅 데이터에 대해 Apache Pig와 자연어 처리를 통한 전 처리 과정을 수행해 리뷰 별로 특징 벡터를 구성하고, 하이퍼 매개변수 최적화와 조기 종료 기법을 사용해 데이터에 대하여 최적의 딥러닝 분류기를 구성하였다. 마지막으로, 구성된 시스템의 신뢰도를 검증하기 위해서 딥러닝의 정확도와 오차율을 확인하였고 시스템이 추천한 와인을 시각화 이미지와 비교하여 성능을 검증하였다.

• Information Systems Review
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• v.8 no.3
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• pp.65-80
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• 2006

This paper proposes a new infrastructure that supports divisible card payment where a combination of multiple credit cards can be used for a single purchase. The divisible card payment infrastructure modifies the existing payment system in two ways. First, the V-Card Manager(VCM) is added to the merchant side to handle the divisible card approval process from respective credit-card issuers. Second, the V-Card Agent(VA) is added to the customer side and generates a customized divisible card, called V-Card, based on the customer's preferences. This paper provides a customizing card payment method that supports divisible payments based on profits and preferences of customers.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.483-488
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• 2004

Comparison of prices and specifications is a very important informations for the decision of buying selected goods. It is hard to get informations of comparison of prices and specifications at the spot on off-line shopping. In this paper, we propose a system that provides optimized information of goods by PDA mobile phones and other mobile devices. The proposed system consists of a server that include a search robot and clients that can read barcode. When a client send the barcode information scanned by a camera attached his/her mobile device, the server sends the information of the goods to the client.

• Information Systems Review
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• v.21 no.3
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• pp.111-129
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• 2019

Recently, artificial intelligence (AI)-enabled products and services such as smartphones, smart speakers, chatbots are being released due to advances in AI technology. Thus researchers making effort to reveal that consumers' intention to adopt AI-enabled products. Yet, little is known about the intended adoption of AI-enabled products. Because most of studies has been not consideredthe perceived utility value of consumers for each attribute by classified based on the characteristics of AI-enabled products. Therefore, the purpose of this study is to investigate the difference in importance between attributes that affect the intention to adopt of AI-enabled products. For this, first, identified and classified the attributes of AI-enabled products based on IS Success Model of DeLone and McLean. Second, measured the utility value of each attribute on the adoption of AI-enabled products through conjoint analysis. And we employed construal level theory to see whether there are differences in the relative importance of AI-enabled products attributes depending on the temporal distance. Third, we segmented the market based on the utility value of each respondent through cluster analysis and tried to understand the characteristics and needs of consumers in each segment market. We expect to provide theoretical implications for conceptually structured attributes and factors of AI-enabled products and practical implications for how development efforts of AI-enabled products are needed to reach consumers need for each segment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2826-2832
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• 2012

A smart grid is an electric-power grid that employs a new information technology.This technology makes it possible to exchange real-time energy information between suppliers and consumers, finally resulting in high energy efficiency. The energy management system in smart grid provides up to date information on electricity consumption as well as dynamic electricity price to consumers of smart grid system. However, the existing energy management systems only focus on pricing system, for example, real-time electricity prices. In this paper, we try to improve the existing energy management system and propose the energy management system that mainly focuses on the efficiency of electricity consumption. In the proposed management system, PMU(Phasor Measurement Units) installed in switchboards gathers electricity data in a real time. We also propose to use data mining method, which is applied to analyzed electricity data for improving energy efficiency. Also, the proposed energy management system is designed to efficiently control the electricity between PMU and management system in case of a shortage of electricity or surplus electricity.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.250-251
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• 2023

The pallet, typically a form of tertiary packaging, is a flat structure used as a base for the unitization of goods in the supply chain. In addition, standard pallets such as T-11 and T-12 are used throughout the logistics industry to reduce the cost and enhance the efficiency of transportation. However, in the case of special cargo, it is impossible to handle such cargo using a standard pallet due to its size and weight, so many have developed and are now using their customized pallet. Therefore, this study suggests a pallet size optimization method to calculate the optimal pallet size, which minimizes the loss of space on a pallet. The main input features are the specifications and the storage quantity of each cargo, and the optimization method that has modified the Neighborhood Search Algorithm calculates the optimal pallet size. In order to verify the optimality of the developed algorithm, a comparative analysis has been conducted through simulation.