• Title/Summary/Keyword: 소비이력

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Design and Implementation of Recommendation Engine for Targeting Advertisement Service based on User Information (사용자 정보 기반 타겟팅 광고 콘텐츠 추천 엔진의 설계 및 구현)

  • Park, Sungjoo;Yang, Chang-Mo;Song, Chai-Jong
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2014.11a
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    • pp.74-76
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    • 2014
  • 모바일 단말, 웨어러블 디바이스 등 개인용 단말의 이용이 확대되면서 사용자 및 사용자 그룹의 다양한 미디어 소비정보, 이용 패턴 정보 기반으로 하는 다양한 서비스가 확대되고 있다. 이러한 개인 혹은 사용자 그룹을 대상으로 하는 대표적이면서 가장 서비스 효율을 높일수 있는 서비스 가운데 하나가 타겟팅 광고 서비스이다. 이러한 타겟팅 광고 서비스는 단순한 개인의 선호도 정보만을 반영하는 것에서 개인의 미디어 소비이력, 미디어 이용패턴 정보 등 사용자가 직접적으로 정보를 입력없이 추천이 가능하도록 연구가 계속되고 있다. 본 논문에서는 고정형 및 모바일 단말에서 사용자의 미디어 콘텐츠 선호 정보 및 소비이력 정보를 통합적으로 반영하여 타겟팅 광고 콘텐츠를 자동적으로 선정하고 추천하는 엔진을 설계 구현하였다. 제안한 추천엔진은 콘텐츠 특성에 대한 선호도와 사용자의 콘텐츠 소비 패턴에서 취득된 정보를 기반으로 예측된 선호도를 결합하여 사용자의 최종 선호도를 추정하고, 이를 기반으로 광고 콘텐츠에 대한 추천을 수행한다. 사용자 메타데이터 및 콘텐츠 메타데이터는 TV-Anytime 표준을 기반으로 하였다.

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Blockchain-based Sales and Purchase Record Management Systems for Agricultural Products (블록체인을 활용한 농산물 판매 및 소비이력 시스템에 관한 연구)

  • Na, Wonshik
    • Journal of Industrial Convergence
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    • v.20 no.3
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    • pp.41-46
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    • 2022
  • This paper proposes a consumer-tailored solution to prevent the forgery and falsification of data by incorporating blockchain technology in the online and offline distribution of agricultural produce. The solution provides customized services to consumers based on an analysis of the data generated from the sales, distribution, and consumption of quality of the produce. It can also ensure the safety and credibility of the produce, and allow producers to identify consumption intent and the flow of distribution. Producers will be able to determine the flow of produce based on the data collected and thus tailor promotional efforts. This is expected to be the fourth industrial revolution in the agricultural produce distribution sector. Utilizing blockchain and big data technology to create integrated record management systems that combine multiple solutions will shape future technology trends. In addition, if eco-friendly certification is acknowledged as a valuable service and can be incorporated into the distribution process, this solution could become a one-stop distribution solution for agricultural produce.

쇠고기 이력 추적시스템 추진계획

  • Seok, Hui-Jin
    • 사료
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    • s.8
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    • pp.48-52
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    • 2004
  • 소비자들의 축산물 안전성에 대한 관심이 높아지고 있어 축산물뿐만 아니라 사료의 안전성 관리가 주요 정책 방향으로 대두되고 있다. 이에 소비자들의 축산물에 대한 불안을 불식시키고 소비확대를 위한 정부의 ‘축산물 이력 추적시스템 추진시스템’추진계획과 아울러 기초 생산재인 사료의 안전성확보방안의 일환으로 시행되고 사료의 BSE(광우병) 대책과 HACCP 추진계획을 알아본다.

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The Calculation of Carbon Footprint Embodied in International Trade: A Multi-Regional Input-Output Analysis (국제무역에 함유된 탄소이력(carbon footprint)의 측정과 분석: MRIO모형의 응용)

  • Shin, Dong Cheon
    • Environmental and Resource Economics Review
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    • v.22 no.1
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    • pp.31-52
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    • 2013
  • The recent analyses of carbon emissions embodied in international trade are related with discussions on who is responsible for the carbon emissions causing global warming. Some authors insist that the countries importing carbon-intensive goods should share the responsibility with the suppliers of those goods. In order to determine which countries are net importers of carbon dioxide embodied in traded goods, we need to construct the multi-regional input-output (MRIO) model incorporating national input-output tables and data on bilateral trades. The paper calculates consumption-based as well as production-based inventories by using MRIO model whose global database is GTAP version 8 to get the picture of carbon footprints in international trades of Korea and other regions in the world.

Broadcast Content Recommender System based on User's Viewing History (사용자 소비이력기반 방송 콘텐츠 추천 시스템)

  • Oh, Soo-Young;Oh, Yeon-Hee;Han, Sung-Hee;Kim, Hee-Jung
    • Journal of Broadcast Engineering
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    • v.17 no.1
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    • pp.129-139
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    • 2012
  • This paper introduces a recommender system that is to recommend broadcast content. Our recommender system uses user's viewing history for personalized recommendations. Broadcast contents has unique characteristics as compared with books, musics and movies. There are two types of broadcast content, a series program and an episode program. The series program is comprised of several programs that deal with the same topic or story. Meanwhile, the episode program covers a variety of topics. Each program of those has different topic in general. Therefore, our recommender system recommends TV programs to users according to the type of broadcast content. The recommendations in this system are based on user's viewing history that is used to calculate content similarity between contents. Content similarity is calculated by exploiting collaborative filtering algorithm. Our recommender system uses java sparse array structure and performs memory-based processing. And then the results of processing are stored as an index structure. Our recommender system provides recommendation items through OPEN APIs that utilize the HTTP Protocol. Finally, this paper introduces the implementation of our recommender system and our web demo.

A Blockchain System for History Management of Agrifood (농식품의 이력관리를 위한 블록체인 시스템)

  • Lee, Gi-Sung;Lee, Jong-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.10
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    • pp.159-165
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    • 2020
  • The demand for food safety has emerged as a major social issue due to changes in diet patterns and consumers' perceptions, along with the advancements in society and the development of the food industry. Consumers are demanding more information about the food they consume, and are sensitive to food scandals. With such interest in food safety, blockchain technology is attracting attention as a means of effectively responding to poor food management resulting in food fraud or unsafe distribution. By ensuring the accuracy of, and trust in, traceability in the food supply chain, it is possible to build trust between traders and to ensure safe food distribution. This paper proposes a next-generation agri-food distribution system that can provide and manage (for suppliers, consumers, and distribution officials) a variety of agri-food information, such as the history, distribution, safety, quality, and freshness of food. Information on product status and distribution status in all processes, including production, processing, distribution, sales, and consumption, can be monitored and controlled in real time (anytime, anywhere), and users can check the safety level of each type of food in real time through an app.

Development of On-Line Life Monitoring System for high-Temperature Header of Fossile Powder Plant Boiler (화력발전소 보일러 고온헤더의 실시간 수명 감시시스템 개발)

  • 윤필기;정동관;윤기봉
    • Journal of Energy Engineering
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    • v.8 no.4
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    • pp.605-611
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    • 1999
  • Conventional methods for assessing remaining life of critical high temperature components in fossil power plants rely on nondestructive inspection practices and accompanying life analysis based on fracture mechanics By using these conventional methods. It has been difficult to perform uninterrupted in-service inspection for life prediction. Thus, efforts have been made for developing on-line remaining life monitoring systems employing information on the shape of structures, operating variables and material properties. In thus study, a software for on-line life monitoring system which performs real-time life evaluation of a high temperature system headers was developed. The software is capable of evaluating creep and fatigue life usage from the real-time stress data calculated by using temperatures/stress transfer Green functions derived in advance for the specific headers. The major benefits of the developed software life in determining future operating schedule, inspection interval, and replacement plan by monitoring real-time life usage based on prior operating history.

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Agricultural Products Traceability Management System based on RFID/USN (RFID/USN 기반 농산물 이력관리시스템)

  • Kim, Myung-Hwa;Son, Byung-Rak;Kim, Dong-Kyu;Kim, Jung-Gyu
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.5
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    • pp.331-344
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    • 2009
  • Recently, it is expected that the agricultural and stockbreeding industry are damaged by the China-Japan-South Korea FTA and FTA between the United States and South Korea. After free trade, it is increasing to import crops, aquatic products, and livestock which are produced in a foreign land. But it is affected negatively to the trust relationships and markets, because of breaking it out that low grade foreign products are turned into domestic products. For this reason, we need the traceability management system. In this paper, it designs and implements the traceability management system using RFID and USN providing distribution traceability information as well as the traceability information of the growth environment, automatic control according to the facility growing and monitoring of the storehouse. The implemented whole systems consist of the growth environment monitoring and the traceability management. First, the growth environment monitoring shows the environment of plantation and automatic controller of the storehouse and growing facility. This growth environment monitoring information provides the detailed information about growth environment and writing the farming diary automatically by producer. Second, the traceability management provides all of the traceability information such as production, shipment and consumption to consumers. The traceability management system that has been designed and implemented using RFID and USN in this paper, provides the u-IT agriculture to producer and the reliability about agricultural products. In addition, this system provides the foundation data to operate GAP and HACCP, and becomes the advantaged agricultural products of the interior of a country by application of this system.

Content recommendation system based on the collaborative filtering and big-data solutions for its commercialization (협업 필터링 기반의 콘텐츠 추천 시스템과 빅데이터 처리 솔루션을 이용한 상용화 개발 방향)

  • Choe, Seong-U;Han, Seong-Hui;Jeong, Byeong-Hui
    • Broadcasting and Media Magazine
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    • v.19 no.4
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    • pp.50-59
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    • 2014
  • 사용자들이 미디어를 접하는 디바이스 환경이 다양화되고 그 속에서 접할 수 있는 콘텐츠의 양은 많아졌다. 특히 급속도로 발전한 모바일 환경에서 사용자들은 개인화된 기기를 사용하여 콘텐츠를 소비하고 주변 사용자들과 경험을 공유한다. 콘텐츠 제공 서비스에서는 이러한 개인의 콘텐츠 소비 이력 및 SNS 관계에서 발생한 데이터를 분석하여 활용함으로써 콘텐츠 소비를 활성화하고자 한다. KBS에서도 이러한 동향에 맞추어 방송콘텐츠 추천검색 연구와 실시간 TV캡처 및 소셜 공유 연구를 진행하였으며, 그 과정에서 많은 양의 데이터를 효율적으로 처리하기 위한 방법의 필요성을 절감하게 되었다. 데이터 분석이 필요한 두 과제에서 진행한 내용을 기술하고 대용량 데이터 처리기법을 활용하여 상용화 서비스를 구축할 계획을 소개한다.

The Analysis of Energy Cost Adopting an Electric Residence using Historical Energy Consumption Data (에너지소비 데이터를 이용한 전전화 주택 도입시 에너지 사용량 분석)

  • Lee, Jun-Kyu;Shin, Hee-Sang;Cho, Sung-Min;Lee, Hee-Tae;Jang, Sung-Kyu;Kim, Jae-Chul
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.24 no.6
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    • pp.131-137
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    • 2010
  • Change of the energy used in a house can be separated from LNG, and electric power. The electric power consumption of a house is more increasing than LNG. The interest for electric houses is rising due to energy saving and low carbon emission. Accordingly, the amount of energies and cost are analyzed consumed in a house using cumulative energy consumption. The result of analysis, amount of electric power, is more increase. In comparison, the use volume of city gas is more decrease. In this paper, the use volume of energy resource is analyzed using historical energy consumption data in the past 25 years. In addition, expected electrical power and heating energy is analysed adopting an Electric Residence.