• 유통과학연구
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• 제21권6호
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• pp.51-68
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• 2023

Purpose: This study aims to explore the impact of green products' claim skepticism on green purchase intention and further investigates the moderating role of environmental concern in the relationship. This study, by drawing the persuasion knowledge model expected that ambiguity avoidance penalizes less familiar brands than familiar brands. Further, the present study building on Hofstede's cultural dimension, specifically, uncertainty avoidance, undertook a scenario to understand any difference that exist between uncertainty avoidance cultural groups. This study also investigates gender differences in green claim skepticism and proclivity to purchase green products. Research design, data, and methodology: For analyzing the relationship relevant hypotheses were designed, and R-programming software was used. To test the hypotheses two independent sample t-test and regression analysis were carried out. Results: The results suggest that consumers' skepticism toward green claims influenced the intention to purchase eco-friendly products. The study finding also confirms the effect is moderated by environmental concern. Also, the findings of two scenarios reveal that consumers in high uncertainty avoidance culture exhibited a greater level of skepticism for green print advertising and green packaging claims when the brand in the advertising and packaging was unfamiliar than when it was familiar. Conclusions: To alter the negative effect of skepticism the consumer should believe the environmental claims are valid so that they can contribute to solving sustainability issues.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2249-2251
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• 2001

This paper proposes that it minimizes interference between link at high speed trajectory tracking of 2-degree parallel link manipulator and QFT(Quantitative Feedback Theory) controller which robust structure uncertainty and disturbance of plant. And using ICD(Individual Channel Design), it separates two channel from multivariable system, parallel link manipulator and designs robust controller with applying MISO QFT to each channel. Finally, we make sure of robustness and excellence of QFT controller through simulation and experiment.

• Journal of Communications and Networks
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• 제18권2호
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• pp.173-181
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• 2016

In this paper, we address a new robust optimization problem in a multiuser multiple-input single-output broadcasting system with simultaneous wireless information and power transmission, where a multi-antenna base station (BS) sends energy and information simultaneously to multiple users equipped with a single antenna. Assuming that perfect channel-state information (CSI) for all channels is not available at the BS, the uncertainty of the CSI is modeled by an Euclidean ball-shaped uncertainty set. To optimally design transmit beamforming weights and receive power splitting, an average total transmit power minimization problem is investigated subject to the individual harvested power constraint and the received signal-to-interference-plus-noise ratio constraint at each user. Due to the channel uncertainty, the original problem becomes a homogeneous quadratically constrained quadratic problem, which is NP-hard. The original design problem is reformulated to a relaxed semidefinite program, and then two different approaches based on convex programming are proposed, which can be solved efficiently by the interior point algorithm. Numerical results are provided to validate the robustness of the proposed algorithms.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회 논문집
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• pp.324-328
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• 2005

This study is to figure out uncertainty relationship between input data and calibrated parameter on unsteady hydraulic routing model. The uncertainty would be present to model results as a variant water surface profile along the channel. Firstly, Manning's n is calibrated through the model with assumed uncertainty on input hydrograph. Then, spatially distributed n-values sets based on the calibrated n values are used to get water profile of each n-values set. The results show that ${\pm}0.002$ of error in Manning's n cause ${\pm}30cm$ of maximum water surface differences at the Sumjin river.

• 경영과학
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• 제33권4호
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• pp.77-89
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• 2016

Due to recent proliferation of the mobile shopping channels, customers increasingly tend to purchase using online channel while experiencing physical products in offline shops. This phenomenon requires traditional offline retailers to consider integrating online channels. In this study, we propose strategic options for the traditional offline retailers regarding the online channel integration, and provide corresponding decision models to maximize the expected profits. We also investigate how the strategic options vary with the product characteristics, by categorizing the products based on inventory cost, demand uncertainty, and fitness to the online channels. By analyzing numerical examples we illustrate how the best online channel integration strategy should be differentiated depending on the product categories.

• 대한기계학회논문집A
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• 제32권4호
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• pp.297-302
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• 2008

We present an electrical particle velocity profiler using particle transit time across uneven inter-gap electrodes. We measure both the particle position and velocity from the voltage signals generated by the particles passing across sensing electrodes, thus obtaining the velocity profile of the particles in a microfluidic channel. In the experimental study, we use polystyrene microparticles to characterize the performance of the electrical particle velocity profiler. The particle velocity profile is measured with the uncertainty of 5.44%, which is equivalent to the uncertainty of 5% in the previous optical method. We also experimentally demonstrate the capability of the present method for in-channel clogging detection. Compared to the previous optical methods, the present electrical particle velocity profiler offers the simpler structure, the cheaper cost, and the higher integrability to micro-biofluidic systems.

• 한국해안·해양공학회논문집
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• 제22권5호
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• pp.344-351
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• 2010

경기만과 한강하구의 장기적인 물질이동에 영향을 미치는 순 유량과 MIKE21 확산모형을 이용한 염분 및 COD 농도분포 예측결과에 대한 불확실성 분석을 수행하였다. 한강 하구 연안의 순 유량은 강화도 북단을 지나 교동도와 석모도를 통과하는 수량이 97% 정도로 대부분을 차지하고 있으며, 염하수로를 통과하는 수량은 3% 미만으로 파악되었다. 한편 확산모형을 이용한 염분 및 COD 농도 분포는 일 자료를 이용한 예측 결과를 기준으로 월별 자료를 이용한 예측결과와의 차이, 즉 중요한 입력 자료의 시간간격만의 차이에 의한 계산 결과의 차이로 정의되는 불확실성으로 정의하여 비교하였다. 그 결과 염하수로에서는 수량이 크게 증가하는 하계에 염분농도 차이가 -10~20 psu 정도, COD 농도차이는 ${\pm}1.0\;mg/L$ 정도로 파악되었으며, 한강하구에서 외해로 갈수록 그 영향은 크게 감소하고 있는 것으로 파악되었다.

• 감성과학
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• 제19권4호
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• pp.41-54
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• 2016

온라인 상거래가 일상의 한 행위로 자리 잡은 요즈음 오프라인 채널과 온라인 채널 간의 간극이 점점 좁혀지고 있다. 즉, 종전에는 오프라인 상에서의 소비자 구매행위와 온라인상에서의 소비자 구매행위가 판이하게 달랐으나 온라인상에서의 다양한 상거래가 보편화되면서 이제는 온라인상에서의 구매행위에 대한 연구가 활발하게 이뤄지고 있다. 그러나, 아직도 오프라인상에서의 신뢰가 온라인 구매행위에 미치는 영향에 관한 연구가 피상적인 수준에 머물러왔다. 이에 본 연구에서는 기존 연구의 한계를 극복하기 위하여 개인이 느끼는 뉴로티시즘 성향이 온라인상에서 사용자가 느끼는 불확실성, 거래비용, 그리고 만족 및 지속구매의도에 미치는 조절효과를 체계적으로 분석하고자 한다. 406부의 유효한 설문지를 토대로 분석한 결과, 사용자가 느끼는 거래비용은 온라인쇼핑 지속구매의도에 부의 효과를 미치고 있지만, 만족에는 통계적으로 유의한 영향을 미치지 않는 것으로 나타났다. 또한, 사용자가 가지고 있는 뉴로티시즘 성향은 온라인쇼핑 지속구매의도와 그 영향 요인들 간의 모든 관계에서 유의한 조절효과를 보이고 있는 것으로 나타났다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 추계학술대회
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• pp.1540-1545
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• 2004

Measurement of concentration fields in a micro-channel is the crucial technology in the area of Lab-on-a-chip to be used for various bio-chemical applications. It is wel-known that the only possible way to measure the concentration field in the micro-channel is using micro-LIF(Laser Induced Fluorescence) method. However, an accurate concentration field at a given cross plane in a micro-channel has not been made so far due to the limit of light illumination. The present study demonstrates a novel method to provide an ultra thin laser sheet beam having 5 microns thickness by a micro focus laser line generator. Nile Blue A was used as fluorescent dye for LIF measurement. The laser sheet beam illuminates an exact plane of concentration measurement in the micro-channel to increase the signal to noise ratio and reduce the depth uncertainty considerably.

• Nuclear Engineering and Technology
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• 제52권2호
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• pp.287-295
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• 2020

Group method of data handling (GMDH) is considered one of the earliest deep learning methods. Deep learning gained additional interest in today's applications due to its capability to handle complex and high dimensional problems. In this study, multi-layer GMDH networks are used to perform uncertainty quantification (UQ) and sensitivity analysis (SA) of nuclear reactor simulations. GMDH is utilized as a surrogate/metamodel to replace high fidelity computer models with cheap-to-evaluate surrogate models, which facilitate UQ and SA tasks (e.g. variance decomposition, uncertainty propagation, etc.). GMDH performance is validated through two UQ applications in reactor simulations: (1) low dimensional input space (two-phase flow in a reactor channel), and (2) high dimensional space (8-group homogenized cross-sections). In both applications, GMDH networks show very good performance with small mean absolute and squared errors as well as high accuracy in capturing the target variance. GMDH is utilized afterward to perform UQ tasks such as variance decomposition through Sobol indices, and GMDH-based uncertainty propagation with large number of samples. GMDH performance is also compared to other surrogates including Gaussian processes and polynomial chaos expansions. The comparison shows that GMDH has competitive performance with the other methods for the low dimensional problem, and reliable performance for the high dimensional problem.