http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 주제어 : Stream reasoning (검색결과 6 건)
- 무료
- 기관 내 무료
- 유료
-
스트림-리즈닝을 위한 실시간 사물인터넷 빅-데이터 처리<sup>☆</sup>
윤창호 ( Chang Ho Yun ),박종원 ( Jong Won Park ),정혜선 ( Hae Sun Jung ),이용우 ( Yong Woo Lee ) 한국인터넷정보학회 2017 인터넷정보학회논문지 Vol.18 No.3
스마트-시티는 스마트-시티의 사물인터넷(Internet of Things: IoT) 디바이스를 비롯한 수많은 인프라를 지능적으로 관리하고, 다양한 스마트 어플리케이션을 도시민에게 제공한다. 스마트-시티에서는 스마트-시티 어플리케이션에서 필요한 다양한 정보를 제공하기 위하여 수많은 사물인터넷 기기들로부터 끊임없이 발생하는 대규모의 스트림 빅-데이터를 지능적으로 처리하는 기능이 필요하다. 하지만, 스마트-시티에서 대규모의 스트림 빅-데이터를 처리하는 것에는 실시간 처리와 관련된 제약들이 존재한다. 본 스마트-시티-사업단에서는 선행 연구에서 스마트-시티미들웨어와 이를 이용한 스트림-리즈닝 방법론 및 시스템을 개발하였다. 스마트-시티에서 스마트서비스를 제공하기 위하여, 스마트-시티-사업단에서는 스트림-리즈닝을 사용하는 방법론을 사용한다. 이 스트림-리즈닝은 대용량 데이터의 실시간 처리를 필요로 한다. 따라서, 후속연구로서 스마트-시티미들웨어의 클라우드-컴퓨팅 플랫폼을 이용하여 스트림-리즈닝을 위한 실시간 분산병렬처리 클라우드-컴퓨팅 방법론과 시스템을 개발하였다. 본 논문에서는 스마트-시티에서 발생하는 사물인터넷빅-데이터를 스트림-리즈닝에 사용하기 위하여 이 후속연구에서 개발된 클라우드 기반 실시간 분산병렬처리 연구결과를 소개한다. 스마트-시티의 각종 센서들로부터 전송되어지는 사물인터넷 빅-데이터를 사용하여 스트림-리즈닝하는 데 필요한 클라우드-컴퓨팅 기반의 실시간 분산처리 방법론과 시스템을 소개하고 있으며, 이 방법론을 선행연구에서 개발한 스마트-시티 미들웨어에 구현하여 실시간 분산처리 성능을 평가한 것을 소개한다. Smart Cities intelligently manage numerous infrastructures, including Smart-City IoT devices, and provide a variety of smart-city applications to citizen. In order to provide various information needed for smart-city applications, Smart Cities require a function to intelligently process large-scale streamed big data that are constantly generated from a large number of IoT devices. To provide smart services in Smart-City, the Smart-City Consortium uses stream reasoning. Our stream reasoning requires real-time processing of big data. However, there are limitations associated with real-time processing of large-scale streamed big data in Smart Cities. In this paper, we introduce one of our researches on cloud computing based real-time distributed-parallel-processing to be used in stream-reasoning of IoT big data in Smart Cities. The Smart-City Consortium introduced its previously developed smart-city middleware. In the research for this paper, we made cloud computing based real-time distributed-parallel-processing available in the cloud computing platform of the smart-city middleware developed in the previous research, so that we can perform real-time distributed-parallel-processing with them. This paper introduces a real-time distributed-parallel-processing method and system for stream reasoning with IoT big data transmitted from various sensors of Smart Cities and evaluate the performance of real-time distributed-parallel-processing of the system where the method is implemented.
-
Knowledge Network Analytics by using Stream Reasoning
Kwangsun CHOI,Jinwoo KIM,Tony LEE 한국지능정보시스템학회 2011 한국지능정보시스템학회 학술대회논문집 Vol.2011 No.5
The influence of social networking services (SNS) like Facebook and Twitter is going to be crucial. We can find its innovative impacts into entire society such as democracy movement of Middle East and disaster relief of Japan. Now a days, social media and network analytics becomes more essential for achieving technical competitiveness in the market. For example, crowd sourcing, solution discovery and remote collaboration by using social networks are key components in open innovation strategies. In this paper, we are introducing stream reasoning and social media analytics including acquisition of social data stream, conversion into triples and hybrid reasoning with ontology and machine learning.
-
타오바오 라이브 스트리밍 쇼핑의 사용 의도에 영향을 미치는 요인: 몰입이론 및 합리적 행동 이론을 기반으로
( Meng-ying Yu ),문병준 ( Byeong-joon Moon ) 한국국제경영학회 2021 國際經營硏究 Vol.32 No.3
The purpose of this study is to examine how the characteristics of TLSS (Taobao live streaming shopping) and subjective norm influence live streaming shopping usage intentions in e-commerce. We apply the flow theory and the TRA (Theory of reasoned action) to investigate the effects of perceived enjoyment, trust, interactivity, immediacy on attitude toward using TLSS, and the impact of subjective norm on intention to use TLSS. The research sample consisted of 335 respondents from China. The results show that interactivity is not significantly related to attitude toward using TLSS while perceived enjoyment, trust, and immediacy are significantly related to attitude toward using TLSS which in turn, indicate consumer’s usage intention of TLSS. Also, Subjective norm has a positive impact on TLSS usage intention. Our finding not only helps the researchers understand how the characteristics of TLSS and subjective norm influence live streaming shopping usage, but also assists the streamers and vendors in developing the better live streaming marketing strategy.
-
Classification of Multi-Event in the Internet of Things
Younghwan Oh 보안공학연구지원센터(IJSEIA) 2016 International Journal of Software Engineering and Vol.10 No.1
The purpose of sensor and network operation is to obtain real-world context information. Therefore, it is important to determine a sliding window size on the basis of context. This study proposes a method of determining a window size for data stream flexibly and variably. In the proposed method, a sliding window size is controlled variably depending on the evaluation of the event detected and reported by a sensor. Therefore, it is necessary to make criteria to judge rapid changes in sensing values and critical events, and to come up with a reasonable interoperability scheme in consideration of the lapse of time, and the development and declination of event context. This study tries to find a reasonable sliding window size control method interacting with context and thereby to contribute to the research on flexible and efficient context reasoning and context awareness.
-
-
WHY WE SHARE IT – AN INVESTIGATION ABOUT REASONS FOR ACCOUNT SHARING OF ONLINE CONTENT PROVIDERS
Gerrit Cziehso,Monika Kukar-Kinney,Joel Mier,Dennis Tann 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07
To remain competitive in the realm of the Internet, developers of new business models not only have to take into account the behavior of online consumers, but also their misbehavior. Today, companies are faced with special challenges regarding consumer misbehavior, particularly in the segment of online content providers (e.g. Netflix, Amazon Prime Video, etc.), where it has become a common practice to share an account with multiple persons, while only one of them is the rightful owner. Such misbehavior may lead to negative consequences, such as direct and indirect financial performance implications, increased workload to deal with dysfunctional customer behavior, underestimated membership, and a lack of understanding the true customer base (Harris & Raynolds, 2003; Hwang et al., 2009). Therefore this study investigates account sharing as a part of customer misbehavior with a qualitative approach to identify customers’ reasons for account sharing. Thereby this investigation makes meaningful implications for companies (e.g., Netflix) and research alike.
ScienceON
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
