• 한국정보시스템학회지:정보시스템연구
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• 제33권2호
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• pp.169-189
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• 2024

Purpose The purpose of this study is to identify the influence relationship between BJ interactivity, explicitness of paid advertisements, flow, and product attitude in YouTube muk-bang, and to determine whether there are gender differences in the relationship between them. Design/methodology/approach In this study, an online survey was conducted targeting college students who watch YouTube muk-bang content using a questionnaire form provided by Google. 115 questionnaires were collected from April 1 to 15, 2024, and after excluding 15 insincere responses, a total of 100 questionnaires were used in the final analysis. Findings The results of the empirical analysis are as follows. First, the explicitness of including paid advertising was confirmed to have a significant impact on both flow and product attitude. Second, while BJ interactivity had a significant effect on flow, it was confirmed that it had no significant effect on product attitude. Third, flow was confirmed to have a significant impact on product attitude, and as a result of confirming the moderating effect due to differences between genders in the relationship between the variables set in this study, it was confirmed that there was no moderating effect.

• 한국멀티미디어학회논문지
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• 제17권8호
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• pp.988-994
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• 2014

Software Defined Network (SDN) is a new technology in computer network area which enables user to centralize control plane. The security issue is important in computer network to protect system from attackers. SYN flooding attack is one of Distributed Denial of Service attack methods which are popular to degrade availability of targeted service on Internet. There are many methods to protect system from attackers, i.e. firewall and IDS. Even though firewall is designed to protect network system, but it cannot mitigate DDoS attack well because it is not designed to do so. To improve performance of DDOS mitigation we utilize another mechanism by using SDN technology such as OpenFlow and sFlow. The methodology of sFlow to detect attacker is by capturing and sum cumulative traffic from each agent to send to sFlow collector to analyze. When sFlow collector detect some traffics as attacker, OpenFlow controller will modify the rule in OpenFlow table to mitigate attacks by blocking attack traffic. Hence, by combining sum cumulative traffic use sFlow and blocking traffic use OpenFlow we can detect and mitigate SYN flooding attack quickly and cheaply.

• 한국가시화정보학회지
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• 제9권4호
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• pp.63-68
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• 2011

The flow-field of a liquid-metal system is very important for the safety analysis and the design of the steam generator of liquid-metal fast breeder reactor. Dynamic neutron radiography (DNR) is suitable for a visualization and measurement of a liquid metal flow and a two-phase flow in a metallic duct. However, the three dimensional DNR techniques is not enough to obtain the velocity information in the wide channel up to now. In this research, a high speed DNR technique was applied to visualize the heavy liquid-metal flow field in the narrow channel with the HANARO-beam facility. The images were taken with a high frame-rate neutron radiography at 250 fps and analyzed with a Particle Image Velocimetry(PIV) method. The images were compared with the results of the commercial CFX code to study the feasibility of DNR technique for the measuring the heavy liquid-metal flow field. The PIV images could discern the turbulent vortex flow in the two-dimensional narrow channel.

• Bulletin of the Korean Chemical Society
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• 제27권3호
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• pp.413-418
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• 2006

Sodium hyaluronate (NaHA), water soluble polymer having ultra-high molecular weight, is characterized by using on-line frit inlet asymmetrical flow field-flow fractionation (FI-AFlFFF) and multiangle light scattering (MALS). This study demonstrates the capability of power programming FI-AFlFFF for the separation of NaHA and the applicability of FI-AFlFFF with MALS for the characterization of molecular weight distribution and their structural information. Since sample injection and relaxation in FI-AFlFFF are achieved by using hydrodynamic relaxation, separation of high molecular weight polymers can be achieved smoothly without halting the separation flow. Experiments are carried out with the two different NaHA products (a raw NaHA sample and a thermally degraded NaHA product) and molecular weight distribution and conformations in solution are determined. Influence of sample filtration on the change of molecular weight distribution is also discussed.

• Journal of Mechanical Science and Technology
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• 제16권12호
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• pp.1561-1575
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• 2002

A reduced-order linear feedback controller, which is used to control the linear disturbance in two-dimensional plane Poiseuille flow, is applied to a boundary layer flow for stability control. Using model reduction and linear-quadratic-Gaussian/loop-transfer-recovery control synthesis, a distributed controller is designed from the linearized two-dimensional Navier-Stokes equations. This reduced-order controller, requiring only the wall-shear information, is shown to effectively suppress the linear disturbance in boundary layer flow under the uncertainty of Reynolds number. The controller also suppresses the nonlinear disturbance in the boundary layer flow, which would lead to unstable flow regime without control. The flow is relaminarized in the long run. Other effects of the controller on the flow are also discussed.

• 한국농공학회논문집
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• 제52권4호
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• pp.19-26
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• 2010

To provide the basic information for the water quality management of the Sumjin River Basin, delivery ratios for flow duration were studied. Using the day-interval data set of discharge and water quality observed from the Chooryeong-cheon watershed, the flow-duration and discharge-load relation curves for the watershed were established, then the load-duration curve was constructed. Delivery ratios for flow duration were also developed. Delivery ratios showed wide variation according to flow conditions. In general, delivery ratio of high flow condition showed higher value reflecting nonpoint source pollution contribution from the forest dominating watershed. To resolve this problem, a regression model explaining the relation between flow rate and delivery ratio was suggested. The delivery ratios for different flow regime could be used for pollutant load estimation and TMDL (Total maximum daily load) development.

• 한국물환경학회지
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• 제25권5호
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• pp.651-660
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• 2009

Detailed flow analysis in river is essential to increase the accuracy of water quality simulation since flow variation depends on many factors such as cross sections, channel slopes, and bed materials. In the QUAL2E stream water quality simulation model, the hydraulic coefficients are assigned to the reach that is collection of computational element using the hydraulic coefficient. This study developed a module that can incorporate the results of non-uniform flow analysis and assign such information to each individual element. Model application focused on the upstream of the Hoengseong reservoir including the reservoir where significant flow change is expected. Comparing with original QUAL2E model the developed module improved the result of water quality simulation without considering the relation of flow velocity and flow depth in terms of flow rates.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2018년도 춘계 종합학술대회 논문집
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• pp.53-54
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• 2018

This paper introduces an approach to detect motion areas of stationary objects when the camera slightly moves in the scene by computing optical flow. The flow field is computed by two pyramidal architectures of 5 levels which are built by down-sampling the size of the images by half at each level. Two pyramids of images are built and then optical flow is computed at each level. A warping process combines the information and generates a final flow field after applying edge smoothness and outliers reduction steps. Moreover, we convert the flow vectors in order of magnitude and angle to a color map using a pseudo-color palette. Experimental results in the Middlebury optical flow dataset demonstrate the effectiveness of our method compared to other approaches.

• 한국지리정보학회지
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• 제22권2호
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• pp.121-132
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• 2019

최근 우리나라는 IT를 포함한 다양한 분야에서는 웹 서비스에 대한 기술의 발전과 함께 사용자 수도 증가함으로써 웹 서비스 적합성 여부의 중요성이 강조되고 있다. 하천공간정보를 포함한 공간정보 분야는 IT를 중심으로 웹 서비스에 관하여 많은 연구가 진행되고 있으나 웹 서비스의 테스트에 대한 연구가 미흡한 실정이다. 이에 하천공간정보 웹서비스 구현과 함께 웹서비스의 성능을 파악하기 위한 검증이 필요하다. 하천공간정보에 대한 웹 서비스(HydroG-OneFlow)를 대상으로 Open Source인 Apache Jmeter를 이용하여 성능 및 안정성 테스트를 수행하고, StyleCop을 이용하여 표준 준수성 및 상호운용성 테스트를 수행하여 웹 서비스에 대한 적합성을 테스트하였다. 성능은 유저 수가 500명씩 증가할 경우 평균 응답시간이 약 2초씩 증가하였고, 신뢰성은 유저 수가 500명씩 증가할 경우 약 0.2%씩 감소하는 것으로 나타났다. 또한 표준 준수성 및 상호운용성을 수행함으로써 웹서비스의 신뢰도를 높였다. 이를 통해 하천공간정보에 대한 웹 서비스 구현 및 취약점을 보완할 수 있는 기반이 될 것으로 판단된다.

• 한국산학기술학회논문지
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• 제22권3호
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• pp.58-64
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• 2021

자동차 등록대수와 비례하여 증가하는 교통 혼잡은 도시의 사회경제 발전의 저해 요소로 작용하고 있다. 본 논문은 VDS(Vehicle Detection System)을 통한 데이터를 입력 변수로 사용한다. 본 연구의 목적은 교통 흐름을 단순히 2단계(원할, 정체)가 아닌 5단계(원할, 다소 지체, 지체, 다소 정체, 정체)로 더 정교하게 예측하고, 이 예측에서 가장 정확도가 높은 모델인 Catboost 모델과 다른 모델들을 비교하는 것이다. 이를 위해 본 논문에서는 머신러닝 알고리즘인 Catboost 모델을 통해 5가지 단계를 예측하고 정확도를 다른 머신러닝 알고리즘들과 비교, 분석한다. 또한, 하이퍼 파라미터(Hyper Parameter) 튜닝 및 원-핫 인코딩(One-Hot Encoding) 전처리를 거치지 않은 Catboost 모델과 랜덤 선택(RandomizedSearchcv)을 통해 튜닝 및 데이터 전처리를 거친 모델을 비교, 분석한다. 분석 결과 하이퍼 파라미터 튜닝을 하지 않은 초기 Catboost 모델이 정확도 93%를 보이며 가장 높은 정확도를 기록하였다. 따라서 본 연구는 두가지 의의를 가진다. 첫번째로, 초기 세팅된 파라미터들이 적용된 Catboost 모델이 다수의 범주형 변수를 포함하는 교통 흐름 예측에서 다른 머신러닝, 딥러닝 모델들보다 성능이 높다는 결론을 도출했다는 점에서 의의가 있다. 두번째로, 기존 2단계로 예측하던 교통 흐름을 5단계로 예측함으로써 더욱 정교한 교통 흐름 예측 모델을 제안한다는 점에서 의의를 가진다.