• Title/Summary/Keyword: flow information

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초.중등 학생의 독서 플로우 성향과 요인 분석에 관한 연구 (An Analysis on the Affecting Factors, Reading Disposition of Reading Flow of Elementary and Second Students)

  • 이병기
    • 한국도서관정보학회지
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    • 제41권4호
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    • pp.51-72
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    • 2010
  • 플로우는 칙센트미하이가 처음 사용한 용어로 특정 활동이나 행동에 완전히 몰두할 때 느끼는 최적의 경험 상태를 말한다. 기존의 연구 결과에 의하면 플로우 현상은 암벽 등반, 예술 활동, 댄스, 모터사이클, 생산적 업무 등 많은 행동을 통해서 체험할 수 있으나 독서를 통해서 가장 많은 사람들이 공통적으로 플로우를 경험하는 것으로 알려져 있다. 이에 본 연구에서는 우리나라 초.중등학생들의 독서 플로우에 대한 성향을 파악하고, 독서 플로우에 미치는 요인을 분석하였다. 본 연구에 사용한 설문지는 독서자료, 독서목적, 독서방법 등 6개 영역의 36개 항목으로 구성하였고, 40개 초.중등학교로부터 1,836명의 학생이 참여하였다. 수집한 데이터는 SPSS18을 사용하여 카이자승, 교차분석, 요인분석을 실시하였다.

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Control Flow Checking at Virtual Edges

  • Liu, LiPing;Ci, LinLin;Liu, Wei;Yang, Hui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권1호
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    • pp.396-413
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    • 2017
  • Dynamically checking the integrity of software at run-time is always a hot and difficult spot for trusted computing. Control-flow integrity is a basic and important safety property of software integrity. Many classic and emerging security attacks who introduce illegal control-flow to applications can cause unpredictable behaviors of computer-based systems. In this paper, we present a software-based approach to checking violation of control flow integrity at run-time. This paper proposes a high-performance and low-overhead software control flow checking solution, control flow checking at virtual edges (CFCVE). CFCVE assigns a unique signature to each basic block and then inserts a virtual vertex into each edge at compile time. This together with insertion of signature updating instructions and checking instructions into corresponding vertexes and virtual vertexes. Control flow faults can be detected by comparing the run-time signature with the saved one at compile time. Our experimental results show that CFCVE incurs only 10.61% performance overhead on average for several C benchmark programs and the average undetected error rate is only 9.29%. Compared with previous techniques, CFCVE has the characteristics of both high fault coverage and low memory and performance overhead.

적응형 TMS 면적식 유량계 (Adaptive TMS Variable Area Flow Meters)

  • 곽두성;김온;조기량
    • 한국정보통신학회논문지
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    • 제12권3호
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    • pp.590-595
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    • 2008
  • 본 논문에서는 적응형 TMS(굴뚝배출가스 감시시스템) 면적식 유량계를 제안하였다. 이 유량계는 투명한 재질의 유리 테이퍼관 내부에 흐르는 유량의 증감에 따라 상하로 움직이는 플로트의 위치를 테이퍼관을 따라 일직선상으로 배열된 광센서로 검지하고, 설정한 값에 대응한 가스 유량이 가스 분석기에 인입되도록 실시간으로 서보모터 구동회로를 최적 제어하는 방법을 채택하였다. 제안한 유량계는 테이퍼 관에 흐르는 유량을 단계별로 검지할 수 있을 뿐만 아니라 연속적으로 유량을 제어하기 때문에 튜브라인의 막힘 현상이 발생할 가능성을 미연에 방지할 수 있다.

An Ensemble Cascading Extremely Randomized Trees Framework for Short-Term Traffic Flow Prediction

  • Zhang, Fan;Bai, Jing;Li, Xiaoyu;Pei, Changxing;Havyarimana, Vincent
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권4호
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    • pp.1975-1988
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    • 2019
  • Short-term traffic flow prediction plays an important role in intelligent transportation systems (ITS) in areas such as transportation management, traffic control and guidance. For short-term traffic flow regression predictions, the main challenge stems from the non-stationary property of traffic flow data. In this paper, we design an ensemble cascading prediction framework based on extremely randomized trees (extra-trees) using a boosting technique called EET to predict the short-term traffic flow under non-stationary environments. Extra-trees is a tree-based ensemble method. It essentially consists of strongly randomizing both the attribute and cut-point choices while splitting a tree node. This mechanism reduces the variance of the model and is, therefore, more suitable for traffic flow regression prediction in non-stationary environments. Moreover, the extra-trees algorithm uses boosting ensemble technique averaging to improve the predictive accuracy and control overfitting. To the best of our knowledge, this is the first time that extra-trees have been used as fundamental building blocks in boosting committee machines. The proposed approach involves predicting 5 min in advance using real-time traffic flow data in the context of inherently considering temporal and spatial correlations. Experiments demonstrate that the proposed method achieves higher accuracy and lower variance and computational complexity when compared to the existing methods.

소셜 게임 특징이 몰입을 통해 중독에 미치는 영향 (Effects of Social Game Features on Addiction through Flow)

  • 이은정;변상해
    • 디지털산업정보학회논문지
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    • 제14권4호
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    • pp.205-218
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    • 2018
  • The purpose of this study is to examine the factors that the characteristics of Protection Motivation Theory affects the addiction of social game users in Korea and then, to verify how these factors make an impact on the addiction through the immersion. The characteristics of protection motivation theory are vulnerability, severity, efficiency, and disability, and we want to study the influence of each characteristic on social game flow and the relationship leading to addiction. The results of this research can be useful for 'social game addiction prevention education'. This study was conducted to survey the users who had experienced using the social game to verify the suggested hypothesis. As the results of the survey, first of all, vulnerability appeared to have a positive effect on the flow. Secondly, severity appeared not to have a positive impact on the flow. Thirdly, efficiency turned out to affect the flow. Fourthly, disability turned out to have a positive impact upon the flow. Lastly, flow was revealed to make a positive impact on the addiction. The results of this study will help to construct the content of 'social game addiction prevention education program'.

Predicting Urban Tourism Flow with Tourism Digital Footprints Based on Deep Learning

  • Fangfang Gu;Keshen Jiang;Yu Ding;Xuexiu Fan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권4호
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    • pp.1162-1181
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    • 2023
  • Tourism flow is not only the manifestation of tourists' special displacement change, but also an important driving mode of regional connection. It has been considered as one of significantly topics in many applications. The existing research on tourism flow prediction based on tourist number or statistical model is not in-depth enough or ignores the nonlinearity and complexity of tourism flow. In this paper, taking Nanjing as an example, we propose a prediction method of urban tourism flow based on deep learning methods using travel diaries of domestic tourists. Our proposed method can extract the spatio-temporal dependence relationship of tourism flow and further forecast the tourism flow to attractions for every day of the year or for every time period of the day. Experimental results show that our proposed method is slightly better than other benchmark models in terms of prediction accuracy, especially in predicting seasonal trends. The proposed method has practical significance in preventing tourists unnecessary crowding and saving a lot of queuing time.

웹기반 정보시스템 이용자정보만족도(Flow) 측정모델의 교차문화 검증에 관한 연구 (A Study on Cross-Cultural Validation of Web-Based User Information Satisfaction (Flow) Measurement Model)

  • 정진택
    • 디지털융복합연구
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    • 제6권2호
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    • pp.157-164
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    • 2008
  • The current research utilized as its target population who are current users of web based information system in Korea. The research validated the dimensions by studying he constructs within the context of the web based information system user population. Correlation was found between Flow dimensions retained as components of a ross-Cultural Model. It was determined that these two dimensions-Intrinsic Interest and Control-are significant predictors of user success. The Cross-Cultural Model was validated, and it is therefore suggested as a basis for further study of user success indicators in he cross-cultural enterprise environment.

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수중네트워크를 위한 수중패킷 흐름제어기법 (Underwater Packet Flow Control for Underwater Networks)

  • 신수영;박수현
    • 한국멀티미디어학회논문지
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    • 제19권5호
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    • pp.924-931
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    • 2016
  • In this paper, Various network adaptive MAC scheduling technique is proposed to effectively overcome limits of narrow bandwidth and low transmission speed in underwater. UPFC(Underwater Packet Flow Control) is a technique to reduce both the number of transmission and transmission time using three types (Normal, Blocked, Parallel) of data transmission. In this technique, the load information, in which a transmission node have, is transmitted to destination node using marginal bit in reserved header. Then the transmitted information is referred to determine weighting factor. According to the weighting factor, scheduling is dynamically changed adaptively. The performance of UPFC is analyzed and flow control technique which can be applied to Cluster Based Network and Ad Hoc network as well.

Proposed Distribution Voltage Control Method for Connected Cluster PV Systems

  • Lee, Kyung-Soo;Yamaguchi, Kenichiro;Kurokawa, Kosuke
    • Journal of Power Electronics
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    • 제7권4호
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    • pp.286-293
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    • 2007
  • This paper proposes a distribution voltage control method when a voltage increase condition occurs due to reverse power flow from the clustered photovoltaic (PV) system. This proposed distribution voltage control is performed a by distribution-unified power flow controller (D-UPFC). D-UPFC consists of a hi-directional ac-ac converter and transformer. It does not use any energy storage component or rectifier circuit, but it directly converts ac to ac. The distribution model and D-UPFC voltage control using the ATP-EMTP program were simulated and the results show the voltage increase control in the distribution system.

OpenFlow를 적용한 경로 기반 망분리 방안 연구 (Path-based network separation methods applied to build the OpenFlow)

  • 허웅;김기천
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2016년도 춘계학술발표대회
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    • pp.120-123
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    • 2016
  • 최근 국내 기관이나 금융권을 넘어선 사기업에 대한 정통망 법의 망분리에 대한 적용이 이슈화되고 있다. 그러나 현실적인 망분리 적용과 운영에는 비용적인 문제부터 기술적인 문제까지 다양한 어려움이 산재해있다. 이에 본 논문에서는 SDN기반의 'Openflow를 적용한 경로 기반 망분리 구축 방안'을 제안한다. OpenFlow Switch의 Flow Table의 Processing 과정인 Pipeline을 이중화시켜 Packet 통신을 경로기반의 In/External Network로 운영하는 방안이다. 이를 통해 기존 망분리 환경 대비 비용과 자원 운영의 효율성, 보안성 향상의 다각적인 효과를 기대한다.