• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.157-166
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• 2019

oneM2M has been adopted to national and global smart city platforms leveraging its benefits, oneM2M platform assures interoperability to devices and services with standard APIs. Existing access control mechanisms in the standard should be extended to easily distribute smart city data. Compared to the as-is standard, this paper proposes a new access control method with minimum human interventions during data distribution between data sellers and buyers. The proposal has been implemented as the new data marketplace APIs to oneM2M platform and used for data marketplace portal interworking. This also has been demonstrated with smart city PoC service.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.221-224
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• 2019

본 논문에서는 엣지 컴퓨팅을 무인 마켓에 도입하여 엣지 컴퓨팅의 효율성을 확인하고, 로컬 네트워크의 효율적인 대역폭 할당을 위한 두 가지 방법을 제안한다. 무인 마켓과 같이 엄청난 양의 데이터를 필요로 하고 만들어내는 서비스에서는 데이터들을 클라우드로 전송하여 소비자가 불편함을 느끼지 못하도록 빠르게 처리하는 것은 불가능에 가깝다. 그래서 우리는 Amazon Go 를 벤치마킹한 무인 마켓에 엣지 컴퓨팅을 도입하여 이를 구현한다. 그리고 구현한 시스템에서 엣지 컴퓨팅 외에 클라우드 컴퓨팅, 모바일 장치를 적용하여 처리할 때의 응답 시간을 분석하여 엣지 컴퓨팅의 높은 성능을 확인한다. 또한, 구현한 무인 마켓에서 데이터 전송의 효율성을 더욱 높이기 위해 카메라 단위와 매대 단위의 대역폭 할당 기법을 제안한다. 카메라 단위로는 모션 인식기술을 활용하여 움직임이 감지될 때만 각 이미지 프로세스에서 요구되는 고해상도로 송신하는 기법을 제안한다. 매대 단위로는 네트워크에서 수용 가능한 대역폭 임계치에 도달하지 못하게 하기 위해 매대 별 우선순위에 따른 대역폭 할당 스케줄링 기법을 제안한다. 그 결과로 평균 소모대역폭과 최대 소모대역폭을 비교하여 제안한 두 가지 기법이 기존의 방법에 비해 성능을 향상시키는 것을 보인다.

• Journal of Korea Multimedia Society
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• v.5 no.6
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• pp.712-729
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• 2002

In this study, we evaluated degree of importance of e-marketplace solution selection factors. Factor analysis was conducted to find out relationships among various variables which come from literature survey. The result shows that 16(sixteen) -selection variables regarding solution characteristics could be grouped into four areas 'flexibility', 'ease of use', 'security', and 'economy'. And 11(eleven) selection variables regarding to vendor characteristics could be grouped into three areas, 'vendor's support', vendor's general situation', and 'vendor's business accomplishment`. Through various analysis, we found important factors for 3 types of operational companies, buyer-biased, seller biased and neutral. 'Security for data item' was showed as the most important factor for all kind of B2B operational companies. For buyer-biased companies, additional supporting manpower, solution education, and educational cost are shown to be more important factors than others. Place of education, education hours and education level are important for 'Neutral' companies. And the factor 'market share of vendor' are important for 'seller biased' companies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.155-164
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• 2009

Digital Content Marketplace based on Interactive Media is defmed as the marketplace for content service between contents supplier and consumer through iDTV environment. This Marketplace is increasing interest to u-Life service with Digital Environment. To Interactive Media, it can contribute to enhance its effectiveness by developing various contents and service model in the initial phase of broadcasting-communication convergence. This study designed metadata using Digital Content marketplace based on Interactive Media. Specially the matadata designing include recommendation-tag for supply supplementary content. It can support self-directed action. Through basic metadata with weight value, it is designed to support supplementary content customer to want on the marketplace. Recommendation-System can be built by many method and to recommend the service content including explicit properties using collaborative filtering method can solve limitations in existing content recommendation.

• Electronics and Telecommunications Trends
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• v.31 no.2
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• pp.1-8
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• 2016

본고는 EU의 디지털 정책 및 전략 추진 동향을 분석하였다. EU는 글로벌 디지털 경제 사회로의 전환에 능동적으로 대처함으로써 ICT가 가져올 혁신과 성장의 결과를 충분히 이끌어내야 함을 인지하고, 2010년 이후 디지털 아젠다를 수립하여 추진해오다 2015년 5월, 완전히 통합된 디지털 시장 구현을 목표로 디지털 싱글마켓 추진전략을 발표하였다. 디지털 싱글마켓은 EU 회원국 간 모든 디지털 상품 거래의 국경장벽을 없앤 단일 시장을 추구하는 개념으로, IoT, 클라우드 컴퓨팅 및 빅데이터 등 데이터 기반 산업을 활용하여 글로벌 경제활동의 효율을 극대화하고 이를 성장으로 연결하고자 하는 움직임이다. 디지털 접근성 제고, 환경조성 및 디지털경제의 성장잠재력 극대화를 위해 3대 목표, 16개 실행계획을 수립, 추진 중이며, 본 동향조사 결과는 최근 한 일 중 디지털 싱글마켓 여건 조성을 위한 협력을 선언한 우리나라가 실효적 전략을 수립하는 데 시사점을 제공할 것으로 판단된다.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.115-122
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• 2019

In the online marketplace, consumers are exposed to various products and freely express opinions. As consumer product reviews have a important effect on the success of online markets and other consumers, online market needs to accurately analyze the consumers' emotions about their products. Text mining, which is one of the data analysis techniques, can analyze the consumer's reviews on the products and efficiently manage the products. Previous studies have analyzed specific domains and less than 20,000 data, despite the different accuracy of the analysis results depending on the data domain and size. Further, there are few studies on additional factors that can improve the accuracy of analysis. This study analyzed 72,530 review data of food product domain that was not mainly covered in previous studies by using ensemble technique. We also examined the influence of summary review on improving accuracy of analysis. As a result of the study, this study found that Boosting ensemble technique has the highest accuracy of analysis. In addition, the summary review contributed to improving accuracy of the analysis.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.317-323
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• 2016

Big Data is now seen as a major asset in the company's competitiveness, its influence in the future is expected to grow. Companies that recognize the importance are already actively engaged with Big Data in product development and marketing, which are increasingly applied across sectors of society, including politics, sports. However, lack of knowledge of the system implementation and high costs are still a big obstacles to the introduction of Big Data and systems. It is an objective in this study to build a Big Data system, which is based on open source Hadoop and Hive among Big Data systems, utilizing POS sales data of small and medium-sized offline markets. This approach of convergence is expected to improve existing sales systems that have been simply focusing on profit and loss analysis. It will also be able to use it as the basis for the decisions of the executive to enable prediction of the consumption patterns of customer preference and demand in advance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.2
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• pp.108-113
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• 2004

Various studies to increase customer satisfaction of a web based system are performed actively. Also in recent days an interest about the one-on-one marketing that supporting a customer viewpoint service was raised. The study that supporting the one-on-one marketing is required in a web based system. In this study, We designed the intelligent specialized customer module which supporting one-on-one marketing. The proposed system used a data mining technique as a target selling, a cross selling, and upselling so that supporting one-on-one marketing. Also, In experiment on prototype, we show a proposed system was usable in an actual Web base system applying the mining result based on the specialized customer module.

• The KIPS Transactions:PartD
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• v.8D no.3
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• pp.211-220
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• 2001

A planning agent supporting customers plays a distinguished role in internet marketplaces. Although several internet marketplaces have been built with the maturity of tools based on internet and distributed technologies, there has been no actual study up to now with respect to the implementation of the planning agent. This paper describes the design and implementation of an XML-based planning agent for internet marketplaces. Since implementing internet marketplaces encounter problems similar to those in other fields such as multidatabase or workflow management systems, we first compare those features. Next we identify functions and roles of the planning agent. The planning agent is implemented using COM+, ASP, and XML, and demonstrated using real data used in an existing system.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.333-336
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• 2006

E-marketplace is a kind of B2B e-Business system that supports business transactions among companies. If e-marketplace is revitalized, we expect not only the development of related industry but also decrease of transaction cost among companies. It is necessary for the introduction and revitalization of e-marketplace in tourist industry from this point of view. Participants of tour e-marketplace are tour-related companies(travel agencies, lodging enterprises, shipping enterprises, etc.). Also tourists want to search a variety of tour products or contents. So tour e-marketplace has characteristics of B2C e-Business systems as well as B2B e-Business systems at once. The purpose of this study is to classify success factors that determine characteristics of tour e-marketplace through statistics survey from e-marketplace factors related tourism websites. First of all, we analyze success factors of B2B and B2C e-marketplace. Then we will set up influence factors of tour e-marketplace and conduct a survey about success factors of tour e-marketplace. Therefore, we could expect to find these good attributes in tour e-marketplace success through logistic regression and decision tree analysis from source data.