• Title/Summary/Keyword: live data

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The Effect of the Characteristics of the Influencer of Public Officials and Internet Live Broadcasting in China on Local Agricultural Products' Brand Image, Purchase Intention, and Word-of-Mouth Intention (공무원 인플루언서의 특성, 라이브커머스의 방송 특성이 지역 농산물의 브랜드 이미지와 구매의도, 구전의도에 미치는 영향: 중국의 인터넷 라이브커머스 방송을 중심으로)

  • JiaShuang, Ma;Eun Hee, Lee
    • Human Ecology Research
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    • v.60 no.4
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    • pp.645-665
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    • 2022
  • This study aimed to understand the effect of the characteristics of the influencer of public officials and the characteristics of internet live broadcasting in China on the brand image of local agricultural products, purchase intention, and word-of-mouth intention. A survey was administered to Chinese consumers who had purchased local agricultural products after watching live broadcasts on the internet by influencers of government officials. A total of 317 questionnaires were collected and the data were analyzed using SPSS 26.0 and AMOS 28.0. The key results were as follows. First, regarding the characteristics of the influencer of public officials, reliability, attractiveness, and expertise had a positive effect on the brand image of local agricultural products. Second, among the characteristics of internet live broadcasting, interaction and information had a positive effect on the brand image of local agricultural products, but entertainment did not. Third, the brand image of local agricultural products had a positive effect on purchase intention and word-of-mouth intention. Finally, the mediating effect of local agricultural brand image was evident in the reliability, attractiveness, and expertise characteristics of the influencer of public officials and purchase intention and word-of-mouth intention. Finally, the mediating effect of local agricultural brand image was evident in the interaction and information characteristics of internet live broadcasting and purchase intention and word-of-mouth intention.

The Influence of Key Opinion Consumers on Purchase Intention in Live Streaming Commerce

  • Cong-Ying Sun;Jin-Yan Tian
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.6
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    • pp.211-221
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    • 2024
  • Live streaming commerce has emerged as an innovative e-commerce model. This study, based on the Elaboration Likelihood Model (ELM), aims to explore the impact of Key Opinion Consumers' (KOCs) attributes in live streaming commerce on purchase intentions on short video platforms. A survey was conducted with 411 consumers, and data analysis and hypothesis testing were performed using SPSS 24.0 and AMOS 23.0 software. Research has found that differences in consumers' information processing abilities lead to different pathway selections. Central route factors such as recommendation consistency, product involvement, and professionalism, as well as peripheral route factors such as recommendation timeliness, all have significant positive effects on consumers' purchase intention. However, visual cues in the peripheral route do not have a significant impact. This study aims to provide theoretical support and practical guidance for the development of the live streaming commerce industry, and to help companies adjust their promotion strategies based on differences in consumer information processing, thereby improving purchase conversion rates.

The Method for Data Acquisition on a Live NAS System (활성 상태의 NAS 시스템 상에서 내부 데이터 수집 기법 연구)

  • Seo, Hyeong-Min;Kim, Dohyun;Lee, Sang-Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.3
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    • pp.585-594
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    • 2015
  • As the storage market has been expanded due to growing data size, the research on various kinds of storages such as cloud, USB, and external HDD(Hard Disk Drive) has been conducted in digital forensic aspects. NAS(Network-Attached Storage) can store the data over one TB(Tera Byte) and it is well used for private storage as well as for enterprise, but there is almost no research on NAS. This paper selects three NAS products that has the highest market share in domestic and foreign market, and suggests the process and method for data acquisition in live NAS System.

Improvement of Iterative Algorithm for Live Variable Analysis based on Computation Reordering (사용할 변수의 예측에 사용되는 반복적 알고리즘의 계산순서 재정렬을 통한 수행 속도 개선)

  • Yun Jeong-Han;Han Taisook
    • Journal of KIISE:Software and Applications
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    • v.32 no.8
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    • pp.795-807
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    • 2005
  • The classical approaches for computing Live Variable Analysis(LVA) use iterative algorithms across the entire programs based on the Data Flow Analysis framework. In case of Zephyr compiler, average execution time of LVA takes $7\%$ of the compilation time for the benchmark programs. The classical LVA algorithm has many aspects for improvement. The iterative algorithm for LVA scans useless basic blocks and calculates large sets of variables repeatedly. We propose the improvement of Iterative algorithm for LVA based on used variables' upward movement. Our algorithm produces the same result as the previous iterative algorithm. It is based on use-def chain. Reordering of applying the flow equation in DFA reduces the number of visiting basic blocks and redundant flow equation executions, which improves overall processing time. Experimental results say that our algorithm ran reduce $36.4\%\;of\;LVA\;execution\;time\;and\;2.6\%$ of overall computation time in Zephyr compiler with benchmark programs.

An Adaptive Buffering Scheme for P2P Live Streaming Systems (P2P 라이브 스트리밍 시스템을 위한 적응적 버퍼링 기법)

  • Kim, Taeyoung;Kim, Eunsam
    • Journal of Digital Contents Society
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    • v.13 no.4
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    • pp.567-574
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    • 2012
  • In this paper, we propose a buffering scheme to improve the performance by adaptively adjusting the length of the buffering period according to the degree of data duplication among peers that belong to each specific playback period in P2P live streaming systems. To do so, we first assign all the peers into many groups depending on their playback time positions. We then determine the length of their buffering periods according to the number of peers belonging to each group. That is, we increase the length of the buffering periods when much buffered data are duplicated among peers within a group while we decrease it when few buffered data are duplicated. By simulation experiments, we show that our proposed buffering scheme can improve the performance significantly compared to the fixed length buffering scheme that have been employed in the existing mesh-based P2P systems.

The Relationship between Streaming Hits View and Sales Performance in Live Streaming Commerce

  • Jong-Hee Jeong;Jae-Ik Shin
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.10
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    • pp.265-274
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    • 2024
  • This study aims to explore the relationship between product assortment, streaming airtime, streaming hits views, and sales performance, while examining the moderating effects of weekends versus weekdays. The data used for the analysis consists of 2023 live commerce streaming information provided by Labangba Data Lab. A PLS(Partial Least Squares) model was employed because all variables were measured using formative indicators. The key findings are as follows: First, product assortment positively influences streaming hits views. Second, streaming airtime has a negative impact on streaming hits views. Third, streaming hits views positively affect sales performance. Finally, a positive moderating effect of weekends and weekdays on the relationship between streaming hits views and sales performance was identified. The study concludes with a discussion of theoretical and practical implications.

Big Data Architecture Design for the Development of Hyper Live Map (HLM)

  • Moon, Sujung;Pyeon, Muwook;Bae, Sangwon;Lee, Dorim;Han, Sangwon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.2
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    • pp.207-215
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    • 2016
  • The demand for spatial data service technologies is increasing lately with the development of realistic 3D spatial information services and ICT (Information and Communication Technology). Research is being conducted on the real-time provision of spatial data services through a variety of mobile and Web-based contents. Big data or cloud computing can be presented as alternatives to the construction of spatial data for the effective use of large volumes of data. In this paper, the process of building HLM (Hyper Live Map) using multi-source data to acquire stereo CCTV and other various data is presented and a big data service architecture design is proposed for the use of flexible and scalable cloud computing to handle big data created by users through such media as social network services and black boxes. The provision of spatial data services in real time using big data and cloud computing will enable us to implement navigation systems, vehicle augmented reality, real-time 3D spatial information, and single picture based positioning above the single GPS level using low-cost image-based position recognition technology in the future. Furthermore, Big Data and Cloud Computing are also used for data collection and provision in U-City and Smart-City environment as well, and the big data service architecture will provide users with information in real time.

Terrestrial 4K UHD Live Broadcasting of Sports (지상파 4K UHD 스포츠 라이브 중계방송)

  • Cho, Injoon;Hahm, Sangjin;Kim, Sansung;Kim, Byungsun;Kim, Sanghoon;Jeon, Sungho
    • Journal of Broadcast Engineering
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    • v.20 no.1
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    • pp.26-39
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    • 2015
  • UHD (Ultra High Definition) has been developed and standardized over the past few years and considered as a key of the next generation broadcasting. Since major sporting events that attract many viewers have been good opportunities for applying and promoting new broadcasting technology, KBS (Korean Broadcasting System) has carried out live 4K terrestrial broadcasting of three big sports events in 2014, the KBL (Korean Basketball League) finals, the 2014 FIFA World Cup, and the 2014 Incheon Asian Games. Especially, 4K UHD live coverage of the KBL finals was the world's first live 4K terrestrial broadcasting, and people could enjoy the World Cup and the Asian Games with UHDTV at home. In this paper, the overall live production and data transmission of the sporting events is described, including on-location live production, live HEVC (High Efficiency Video Coding) encoding, SFN (Single Frequency Network) transmission, as well as experimental IP transmission of uncompressed 4K video via KREONET, a national R&D network run by KISTI (Korea Institute of Science and Technology Information).

A Study on the Applicability of Health and Dance Program according to the Trend of Live-In-depth Research (활인심방 연구주제 동향에 따른 건강무용프로그램 적용 가능성)

  • Jung, Yu-Jin
    • Journal of Digital Convergence
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    • v.18 no.3
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    • pp.395-404
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    • 2020
  • The purpose of this study is to analyze the research published in Korea on the live atrium of Toegye Lee Hwang and present its applicability as a health dance program.To this end, Korean academic journals, the Korean Institute of Information Scientists and Engineers, and DBpia searched Korean journal publications with the keyword 'active visit', and 24 articles published from 1974 to December 2018 were classified into the Korean Research Foundation.According to the criteria, they were classified and analyzed into subclasses. As a result, first, the research trends of academic disciplines by year tended to increase the participation of various academic disciplines in the atrium.The interests of the live atrium differed in the order of physical education.Second, in terms of research subjects, more researches attempted to identify active atria as a research topic than research suggesting a plan.Third, the trends of the research topics were in order to study academic definition of live atrium, to find out the relationship between live atrium and other disciplines, to propose ways to use them, and to develop programs.Fourth, by applying the live atrium to a dance program, we found the potential as a dance program for health promotion.It is expected that these findings will not only provide the basic data for the possibility of a health dance program integrated with various fields, but also contribute to the search for the direction of health dance program research.

A Study on the Effect of Live Commerce Influencer's attributes on Consumer Satisfaction, Repurchase Intention and Flow - Focus on Taobao Service (라이브 커머스 인플루언서의 속성이 구매 후 만족, 재구매 의도 및 플로우에 미치는 영향에 관한 연구 - 타오바오를 중심으로)

  • Guo, Xiao-Yue;Bae, Seung-Ju;Lee, Sang-Ho
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.201-213
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    • 2022
  • This study attempted to identify the influencing factors of Taobao Online Live Commerce influencer's attributes on Taobao Live Platform users' post-purchase satisfaction, repurchase intention and flow, and addiction. Through previous studies, researchers set the live commerce influencer attributes into four categories: expertise, attractiveness, interactivity, and aesthetics, and examined the effects of these attributes on consumers' repurchase intentions, flow and addiction. As a result of the study, it was confirmed that among the attributes of Live Commerce influencer, professionalism, interactivity, and aesthetics had a significant effect on the utilitarian shopping value in consumer satisfaction, and four attributes, including attractiveness, had a positive effect on the hedonic shopping value. In consumer satisfaction, hedonic shopping value had a positive effect on utilitarian shopping value satisfaction. In addition, it was found that consumers' satisfaction after purchase affects repurchase intention and immersion. The effect of flow on repurchase intention and addiction was also confirmed. It is hoped that this study will help revitalize influencer marketing in the growing live commerce market and provide basic data to contribute to establishing marketing strategies.