• Journal of Korean Society of Transportation
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• v.22 no.3 s.74
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• pp.179-201
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• 2004

Online traffic flow modeling is attracting more attention due to intelligent transport systems and technologies. The flow-density relation plays an important role in traffic flow modeling and provides a basic way to illustrate traffic flow behavior under different traffic flow and traffic density conditions. Until now the research effort has focused mainly on the shape of the relation. The time series of the relation has not been identified clearly, even though the time series of the relation reflects the upstream/downstream traffic conditions and should be considered in the traffic flow modeling. In this paper the flow-density relation is analyzed dynamically and interpreted as a states diagram. The dynamic flow-density relation is quantified by applying fuzzy logic. The quantified dynamic flow-density relation builds the basis for online application of a macroscopic traffic flow model. The new approach to online modeling of traffic flow applying the dynamic flow-density relation alleviates parameter calibration problems stemming from the static flow-density relation.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.213-217
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• 2007

소프트웨어 테스팅은 소프트웨어의 개발 과정에 있어서 가장 중요하고 많은 비용이 드는 부분이다. 소프트웨어 테스팅을 수동으로 행하는 것은 많은 문제를 발생시킬 수 있다. 소프트웨어 자동 테스팅을 하기 위해서 최근 활발히 연구되고 있는 부분이 모델 기반 소프트웨어 자동 테스팅 기법이다. 본 논문에서는 UML 모델 기반 테스트 케이스 자동 생성 기법을 제안한다. UML state chart 로 모델링 된 테스트 대상 소프트웨어를 제안된 자료구조에 저장 한 후, 이를 flow graph 로 변환한다. 최종적으로 변환된 flow graph 에서 테스트 케이스를 생성한다.

• Journal of the Korea Society of Computer and Information
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• v.21 no.4
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• pp.17-24
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• 2016

In this paper, we propose a AH LSU(Advanced Hybrid QoS Routing Link State Update) Algorithm that improves the performance of Hybrid LSU(Hybrid QoS Link State State Update) Algorithm with statistical information of flow holding time in network. AH LSU algorithm has had both advantages of LSU message control in periodic QoS routing LSU algorithm and QoS routing performance in adaptive LSU algorithm. It has the mechanism that calculate LSU message transmission priority using the flow of statistical request bandwidth and available bandwidth and include MLMR(Meaningless LSU Message Removal) mechanism. MLMR mechanism can remove the meaningless LSU message generating repeatedly in short time. We have evaluated the performance of the MLMR mechanism, the proposed algorithm and the existing algorithms on MCI simulation network. We use the performance metric as the QoS routing blocking rate and the mean update rate per link, it thus appears that we have verified the performance of this algorithm.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.319-324
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• 2009

Lately, knowledge-based society comes, it is important for enterprises to creatively utilize knowledge of technology for technological innovation. So, Technological innovation capacity of enterprises is important factor of business success. To improve technological innovation capacity, enterprises should well utilize their internal knowledges and external knowledges which come from technological diffusion. To well utilize external knowledges of enterprises they should well understand external knowledge flow. Especially knowledge flow also occurs frequently between nations, understanding of knowledge flow which occurs between nations is important to improve nation`s technological innovation capacity. So this paper presents comparison of technological innovation capacity and knowledge diffusion flow between nations.

• Korean Management Science Review
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• v.30 no.1
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• pp.149-165
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• 2013

This study empirically investigated the changes of performance evaluation systems under the environment of supply-chain e-commerce. The objectives of e-commerce include obtaining financial profit, internal innovation through processes integration, learning with information flow, and customer satisfaction through quick response. These objectives are generally consistent with the four evaluation measures of balanced scorecard(BSC). This study, first, demonstrated that perceived environmental uncertainty(PEU) has a significant effect on the adoptions of e-commerce and BSC, and severe competition positively influences the use of e-commerce. With cluster analysis and subgroup analysis, we also showed that under the high adoption levels of e-commerce, the high utilization of BSC can improve the supply-chain performance of a firm. In addition, it was found that the use of e-commerce indirectly and significantly affects supply-chain performance through inter-organizational information flow, and the supply-chain performance of a firm leads to the improvement of organizational performance.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.2
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• pp.110-117
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• 2012

This paper describes a new design of optical flow estimation system with three cameras. Optical flow provides useful information of camera movement; however a unique solution is not usually available for unknowns including the depth information. A camera and two tilted cameras are used to have different view of angle and direction of movement to the camera axis. Geometric analysis is performed for cases of several independent movements. The ideas of taking advantage of the extra information for robot navigation are discussed with experimental results.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.8 no.4
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• pp.170-181
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• 2009

When a slow-moving vehicle occupies one of the lanes of a multi-lane highway, it often causes queuing behind, unlike one is caused by an actual stoppage on that lane. This happens when the traffic flow rate upstream from the slow vehicle exceeds a certain critical value. This phenomena is called as the Moving Bottleneck, defined by Gazis and Herman (1992), Newell (1998) [3], and Munoz and Daganzo (2002), who conducted the flow estimates of upstream and downstream and considered slow-moving vehicle speed and the flow ratio exceeding slow vehicle and the microscopic traffic flow characteristics of moving bottleneck. But, a study of delay on moving bottleneck was not conducted until now. So this study provides a average delay time model related to upstream flow and the speed of slow vehicle. We have chosen the two-lane highway and homogeneous traffic flow. A slow-moving vehicle occupies one of the two lanes. Average delay time value is a result of AIMSUN[9], the microscopic traffic flow simulator. We developed a multiple regression model based on that value. Average delay time has a high value when the speed of slow vehicle is decreased and traffic flow is increased. Conclusively, the model is formulated by the negative exponential function.

• Journal of Korean Library and Information Science Society
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• v.42 no.1
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• pp.29-49
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• 2011

Successful reading instruction of teacher librarian should be to identify the reading characteristics of students. Nevertheless, there are insufficient tools for to identify the reading characteristics. Thus, this study propose the reading flow type classification and test instruments reading flow using structure equation modeling. In order to verify the reading flow type, this study established 4 temporary model(Warner, Dunn & Dunn, MBTI, flow construction), conformed using AMOS structure equation modeling. The most fit model of 4 temporary model were conformed flow construction. Test instruments for reading flow was developed based on conformed flow construction. Suggested reading flow type classification consist of 16 styles in four dimensions. Reading flow test instruments consist of 28 item styles in four dimensions. The data for this study re-used 1,836 students questionary for prior paper of this researcher.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.278-285
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• 2022

This study presence in VR advertising into three types presence. Further, through an experiment, the study empirically verifies the kind of recalled information depending on the flow which forms users' attitudes towards the content. The experiment was conducted with a factor design between 3X2 subjects. Hyundai Motor's Ioniq VR video was conducted, and a questionnaire of 143 subjects was used for the study. The results revealed that positive attitudes were formed towards the advertisement used in the experiment when the level of emotional presence was the highest. In addition, higher flow levels established positive attitudes towards the advertisement. and Cognitive presence's effects on memory, ARM such as product-attribute information was found to increase when the flow level is high; however, GRM such as overall product evaluation was found to increase when the flow level is low.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.171-176
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• 2018

The purpose of this study is to establish smart signage in a certain space and to analyze not only media ingestion and advertising inducement as well as any information (high vs. low vs. low) and flow level And the memory effect related to whether or not to remember. The results of this study show that the higher the interaction level and the higher the engagement level, the higher the advertising engagement is. In addition, media involvement was high when interaction level was low and flow level was high. Finally, if the level of interactivity is low and the level of flow is high, then non - valued attribution information is more likely to be recalled than the comprehensive evaluation information. If the interaction of smart signage is high and the flow of users is low, Recalled more recall information. In the future, detailed strategies for enhancing user flow will be needed rather than a strategy for unconditional enhancement of interaction in smart signage strategy.