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An NLP-based Mixed-method Approach to Explore the Impact of Gratifications and Emotions on the Acceptance of Amazon Go

  • Arghya Ray;Subhadeep Jana;Nripendra P. Rana
    • Asia pacific journal of information systems
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    • 제33권3호
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    • pp.541-572
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    • 2023
  • Amazon Go is a cashierless convenience store concept, which is seen as a disruption in the grocery retail segment. Although Amazon Go has the ability to disrupt the retail segment, there are speculations on how Amazon Go will be perceived by users. Existing studies have not utilized user-generated content to understand the factors that affect customer behaviour in case of Amazon Go. Additionally, in case of phygital retail, studies have not attempted at understanding the effect of emotions and gratifications on user behaviour. To address the gap of exploring user perspectives based on their experience, we have examined the impact of gratifications and emotions on the acceptance of phygital retail using user-generated-content. A mixed-method approach has been utilized using only user-generated content. Utilizing topic-modelling based content analysis and emotion analysis on 30 articles related to Amazon Go, we found themes like, convenience, technology, experience, personalization, enjoyment and emotions like, bad, good, annoyance, success. In the empirical analysis, we have utilized 522 reviews about Amazon Go from the cognition and emotion theory stance, and found that hedonic gratifications have a positive impact on challenge emotions. We also found a significant impact of emotions on customer's favourite behaviour.

NDN에서 Off-Path 콘텐츠 접근기법들에 대한 성능 비교 연구 (A Comparative Study on Off-Path Content Access Schemes in NDN)

  • 이준석;김도형
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제10권12호
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    • pp.319-328
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    • 2021
  • 인터넷에서의 대용량 콘텐츠들에 대한 서비스가 일반화됨에 따라 기존 TCP/IP 프로토콜에서의 비효율적인 데이터 전송에 대한 문제점들이 제기되었고, 그 결과로 정보중심네트워크 (Information-centric networking) 패러다임이 새롭게 제시되었다. 정보중심네트워크에서는 IP와 같은 위치 식별자를 대신하여 콘텐츠 이름을 통해 콘텐츠 접근이 이루어지며, 네트워크 노드들 (e.g., 라우터)은 캐시를 활용하여 전송중인 콘텐츠들을 저장하여 이후 발생하는 사용자 요청들에 대한 서비스를 수행할 수 있다. 사용자 요청이 멀리 위치한 콘텐츠 서버가 아닌 가까운 네트워크 캐시에서 서비스될 수 있게 됨에 따라 서비스 지연 감소, 네트워크 대역폭의 효율적 사용, 서비스 확장성 확보 등의 이점이 소개되었다. 그런데 이와 같은 정보중심네트워크에서의 이점들은 캐시에 저장되어 있는 콘텐츠가 얼마나 적극적으로 활용될 수 있느냐에 의해 결정될 수 있다. 본 논문에서는 1) 정보중심네트워크의 대표적인 아키텍쳐 중의 하나인 Named-data Networking (NDN) 에서의 콘텐츠 접근 기법에 대해 소개하고, 2) 특별히 라우팅 경로를 벗어나 캐시되어 있는 콘텐츠들을 접근할 수 있도록 하기 위해 제안된 기법들에 대한 리뷰를 진행하며, 3) ndnSIM 시뮬레이터를 활용해 이들 기법들에 대한 성능 비교 평가를 진행한다.

시료 두께에 의한 저온진공건조기의 열적 특성에 관한 연구 (A Study on the Thermal Characteristics of the Low Temperature Vacuum Dryer by Material Layers)

  • 최순열;문수범
    • Journal of Advanced Marine Engineering and Technology
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    • 제26권2호
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    • pp.226-232
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    • 2002
  • In tradition, there have been two kinds of drying methods, which are sun drying and artificial drying. The sun drying method which has been adopted traditionally has been replaced by the hot-air drying method which is one of the most general methods of artificial drying, with its simple drying system, low initial cost of drying plant, and easy operating method. But the hot-air drying method has some defects ; (1)much energy loss happens due to the discharge of hot air during the drying process, (2)control of drying rate is not easy on account of changing relative humidity of inlet air for uniform hot air temperature, (3)high temperature of floods in drying process brings about the production of low-grade drying products. Also, the hot-air drying method is inducing environmental and sanitary problems which are resulting from the emission of high temperature and high humidity air, including stick on the drying progress. Vacuum drying technique, whose drying time and 7uantity of exhausting energy is about 1/3 ~1/4 of hot air drying, is very excellent in the drying efficiency. As the results, it took about 20 hours for material to reach about 18% of the final moisture content in order to store products for a long time, from about 470% of the early moisture content at the beginning of drying, and maximum drying rate comes to about $0.35 kg/m^2hr$ at about 350% of the moisture content.

비식생 갯벌에서 퇴적물 입도에 따른 블루카본 저장 특성: 함평만과 동대만 (Characteristics of Blue Carbon Stock by Particle Size of Sediments in Unvegetated Tidal Flats : Hampyeong Bay and Dongdae Bay)

  • 박경덕;강동환;소윤환;조원기;김병우
    • 한국환경과학회지
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    • 제32권3호
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    • pp.181-189
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    • 2023
  • In this study, sediment cores from unvegetated tidal flats in the Hampyeong Bay (west coastal wetland) and Dongdae Bay (south coastal wetland) were sampled, the blue carbon stock in the sediments was calculated, and the characteristics of the blue carbon stock were analyzed based on particle size of the sediments. The sediments in the Hampyeong Bay tidal flat had large particle size and low mud content, and the Dongdae bay tidal flat had small particle size and high mud content. The organic carbon content and blue carbon stock in the sediments were higher in the Dongdae tidal flat than in the Hampyeong Bay tidal flat. As a result of the regression function, in both the Hampyeong Bay and Dongdae Bay tidal flats, the sediments had the smaller particle size and higher mud contents the higher the organic carbon content and blue carbon stock. The sediments with smaller particle size had the larger specific surface area, so were feasible to adsorb and store more organic matters.

NoSQL 기반 연관 콘텐츠 추천 시스템의 설계 및 구현 (Design and Implementation of a System for Recommending Related Content Using NoSQL)

  • 고은정;김호준;박효주;전영호;이기훈;신사임
    • 한국멀티미디어학회논문지
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    • 제20권9호
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    • pp.1541-1550
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    • 2017
  • The increasing number of multimedia content offered to the user demands content recommendation. In this paper, we propose a system for recommending content related to the content that user is watching. In the proposed system, relationship information between content is generated using relationship information between representative keywords of content. Relationship information between keywords is generated by analyzing keyword collocation frequencies in Internet news corpus. In order to handle big corpus data, we design an architecture that consists of a distributed search engine and a distributed data processing engine. Furthermore, we store relationship information between keywords and relationship information between keywords and content in NoSQL to handle big relationship data. Because the query optimizer of NoSQL is not as well developed as RDBMS, we propose query optimization techniques to efficiently process complex queries for recommendation. Experimental results show that the performance is improved by up to 69 times by using the proposed techniques, especially when the number of requested related keywords is small.

BCON : Blockchain-based Content Management Service Using DID

  • Kim, Hye-Won;Lee, Young-Eun;Kwon, Min-Ho;Lee, Myung-Joon
    • 한국컴퓨터정보학회논문지
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    • 제26권6호
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    • pp.97-105
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    • 2021
  • 본 논문에서는 개인 스스로가 자신의 신원을 인증하여 개인 콘텐츠를 안전하게 보관, 콘텐츠에 대한 자신의 소유권을 신뢰성 있게 보장받을 수 있는 서비스인 BCON을 제안한다. 데이터 위변조가 불가능한 블록체인을 기반으로 탈중앙화된 신원확인 서비스를 지원하는 DID 기술은 사용자가 자신의 정보를 선택적으로 제공하여 자신의 신원정보에 대한 주권을 강화하고 스스로 개인 정보에 대한 통제가 가능하다. BCON은 블록체인에 사용자가 지정한 콘텐츠에 대한 정보를 저장하고 DID 기술을 기반으로 사용자 신원을 인증하여, 사용자가 개인 콘텐츠를 안전하게 분산 데이터베이스에 업로드하고 다운로드하는 기능을 제공한다. BCON은 콘텐츠 서비스 검증자, 콘텐츠 보관 서비스, 콘텐츠 매니지먼트 컨트랙트 및 사용자 어플리케이션으로 구성되며, 서비스 권한 관리를 위한 DID 레지스트리를 운영한다.

질감 기술자를 이용한 영상 검색 기법에 관한 연구 (A Study on Image Retrieval Method Using Texture Descriptor)

  • 조재훈;정현진;김영섭
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.745-746
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    • 2008
  • In the last few years rapid improvements in hardware technology have made it possible to process, store and retrieve huge amounts of data ina multimedia format. As a result, Content-Based Image Retrieval(CBIR) has been receiving widespred interest during the last decade. This paper propose the content-based retrieval system as a method for performing image retrieval throught the effective feature analysis of the object of significant meaning by using texture descriptor.

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Design and Implementation of Web Crawler with Real-Time Keyword Extraction based on the RAKE Algorithm

  • Zhang, Fei;Jang, Sunggyun;Joe, Inwhee
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2017년도 추계학술발표대회
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    • pp.395-398
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    • 2017
  • We propose a web crawler system with keyword extraction function in this paper. Researches on the keyword extraction in existing text mining are mostly based on databases which have already been grabbed by documents or corpora, but the purpose of this paper is to establish a real-time keyword extraction system which can extract the keywords of the corresponding text and store them into the database together while grasping the text of the web page. In this paper, we design and implement a crawler combining RAKE keyword extraction algorithm. It can extract keywords from the corresponding content while grasping the content of web page. As a result, the performance of the RAKE algorithm is improved by increasing the weight of the important features (such as the noun appearing in the title). The experimental results show that this method is superior to the existing method and it can extract keywords satisfactorily.

색상 정보를 이용한 영상 검색 기법 (Image Retrieval Method Using Color Descriptor)

  • 조재훈;이상호;김영섭
    • 반도체디스플레이기술학회지
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    • 제7권2호
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    • pp.69-76
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    • 2008
  • Recently, as the multimedia processing application increases rapidly by going on increasing multimedia data, the efficient retrieval method of image information is required in many fields of application and becoming the matter of major concern. Furthermore, in the last few years rapid improvements in hardware technology have made it possible to process, store and retrieve huge amounts of data in a multimedia format. As a result, Content-Based Image Retrieval (CBIR) has been receiving widespread interest during the last decade. This paper propose the content-based retrieval system as a method for performing image retrieval through the effective feature analysis of the object of significant meaning by using YCbCr channel merging on the basis of the characteristics of man's visual system.

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Research data repository requirements: A case study from universities in North Macedonia

  • Fidan Limani;Arben Hajra;Mexhid Ferati;Vladimir Radevski
    • International Journal of Knowledge Content Development & Technology
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    • 제13권1호
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    • pp.75-100
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    • 2023
  • With research data generation on the rise, Institutional Repositories (IR) are one of the tools to manage it. However, the variety of data practices across institutions, domains, communities, etc., often requires dedicated studies in order to identify the research data management (RDM) require- ments and mapping them to IR features to support them. In this study, we investigated the data practices for a few national universities in North Macedonia, including 110 participants from different departments. The methodology we adopted to this end enabled us to derive some of the key RDM requirements for a variety of data-related activities. Finally, we mapped these requirements to 6 features that our participants asked for in an IR solution: (1) create (meta)data and documentation, (2) distribute, share, and promote data, (3) provide access control, (4) store, (5) backup, and (6) archive. This list of IR features could prove useful for any university that has not yet established an IR solution.