• 한국시뮬레이션학회논문지
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• 제16권4호
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• pp.67-75
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• 2007

RFID(Radio Frequency IDentification)가 국방, 물류/유통, 도서 관리 등의 분야에서 바코드를 대체하는 대안으로 각광을 받고 있으나, 적용 범위가 제품 생산이나 판매 유통 관리 등의 분야로 제한되어 있는 것이 사실이다. 본 논문에서는RFID 기술을 공정관리에 적용해 본 후, 그 효과를 분석하였다. 또한 유통단계뿐 아니라 제품의 이력관리 및 품질관리에 RFID의 적용 가능성을 타진하기 위해, 제조 및 포장공정에 활용하는 방안을 제안하였다. RFID 적용 효과를 검증하기 위해 실제 제조업체를 대상으로 현재 바코드를 부착하는 공정을 RFID로 변경하였을 때 공정 개선 효과를 산출하였으며, 연구 결과 RFID 도입에 소모되는 초기 투자 비용을 상쇄할 수 있는 비용절감 효과가 있음을 확인하였다. 이로써 높은 초기 비용으로 인해 바코드에서 RFID로의 교체를 망설이는 제조업체들의 의사결정에 기여할 수 있을 것으로 기대된다.

• Human Ecology Research
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• 제54권5호
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• pp.529-539
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• 2016

This study confirmed shopping behavior of Korean young overseas tourists and its effect on travel evaluation. I first identified core factors of travel activity preference, travel shopping propensity, and shopping products. The effect of shopping product satisfaction on tour satisfaction and post-tour intention was then investigated. Based on travel activities, tourists were grouped, and their characteristics were compared. An online survey method was performed to obtain data of 20's-30's Korean unmarried people, while factor analysis, regression analysis, chi-square test, analysis of variance (ANOVA), and cluster analysis were applied to analyze data. The results were as follows. First, six travel activities (city life, art/shopping, cultural experience, entertainment, field experience, and friendship), three shopping propensity (novelty/uniqueness, utility, and prestige), and four product groups (fashion goods, household goods, crafts, and foods) were found by factor analyses. Second, travel activity tended to influence shopping propensity, which then influenced shopping products preference. All factors of travel activity seemed to affect the three travel shopping propensities. Third, shopping satisfaction was shown to affect tour satisfaction, and posttour behavior. Finally, four tourist groups (active, social, pleasure, and passive) differed in terms of preferred tour activities, shopping propensity, and tour behavior. Active tourists rated the highest scores and passive ones rated the lowest for most evaluations.

• International Journal of Contents
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• 제5권3호
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• pp.24-32
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• 2009

Personal value and lifestyle have been regarded as the common factors in many studies of the destination selection. And the evaluations by visitors or tourists of certain destinations have been conducted in many respects. Based on those influential factors and measures from the review of the previous researches, this article considers the impact of residents' evaluation of the tourism resources in their own resident area on selecting destinations of their future overseas trips as well as their personal value and lifestyle. This article is aimed to reveal whether the impact exists, and if so, to what extent this impact can expand. According to the result, perception of tourism resources in residential area has impact on preferred destination, although its impact was relatively less than those of personal value and lifestyle. The more highly perceived the tourism resources are found, the more preferred tourist destination with abundant tourism attractions are. And the lowly perceived the cost of living in residential area is found, the more preferred the consumption-oriented tourist destinations are. It would be helpful for the product developers like travel agents or product marketers to know and predict the tendency of people s present evaluation of their areas and the future destination selection tendency for their trips.

• 복식문화연구
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• 제30권3호
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• pp.366-380
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• 2022

This study aims to develop the designs and patterns of yoga tops that are better adjusted to suit females in their 30s and 40s. After conducting a comparative analysis of three different popular yoga garments, one yoga top currently on the market was selected. Subsequently, a fit evaluation was conducted on Trail 1-garment α, which was developed body analysis performed based on selected yoga top C, followed by the production of the Trial 2 garment after making adjustments according to the comparative observation results. Based on these results, garment C with the longest top length was evaluated as the best. The results of the evaluation of appearance and fit conducted of Trial 1-garment α compared to those of C showed that Trial 1-garment α was superior in both evaluations. Trial 2-garment β was produced after making improvements on Trial 1-garment α and then placed under identical comparative evaluation condition as Trial 1-garment α. Results showed a significant improvement compared to Trial 1-garment α, and the Trial 2 garment with an additional arm pattern was shown to be superior in shoulder strap width stability, shoulder strap pressure, chest stability, degree of waist pressure, waist comfort, general fitting, and supportiveness.

• International journal of advanced smart convergence
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• 제12권2호
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• pp.47-55
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• 2023

The automotive industry is undergoing a paradigm shift due to the convergence of IT and rapid digital transformation. Various components, including embedded structures and systems with complex architectures that incorporate IC semiconductors, are being integrated and modularized. As a result, there has been a significant increase in vehicle defects, raising expectations for the quality of automotive parts. As more and more data is being accumulated, there is an active effort to go beyond traditional reliability analysis methods and apply machine learning models based on the accumulated big data. However, there are still not many cases where machine learning is used in product development to identify factors of defects in performance and durability of products and incorporate feedback into the design to improve product quality. In this paper, we applied a prediction algorithm to the defects of automotive door devices equipped with automatic responsive sensors, which are commonly installed in recent electric and hydrogen vehicles. To do so, we selected test items, built a measurement emulation system for data acquisition, and conducted comparative evaluations by applying different machine learning algorithms to the measured data. The results in terms of R² score were as follows: Ordinary multiple regression 0.96, Ridge regression 0.95, Lasso regression 0.89, Elastic regression 0.91.

• 한국정보시스템학회지:정보시스템연구
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• 제32권3호
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• pp.133-150
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• 2023

Purpose This study aims to develop classification models using a decision tree algorithm to identify core keywords and rules influencing online consumer review evaluations for the robot vacuum cleaner on Amazon.com. The difference from previous studies is that we analyze core keywords that affect the evaluation results by dividing the subjects that evaluate online consumer reviews into self-evaluation (star ratings) and peer evaluation (helpfulness votes). We investigate whether the core keywords influencing star ratings and helpfulness votes vary across different products and whether there is a similarity in the core keywords related to star ratings or helpfulness votes across all products. Design/methodology/approach We used random under-sampling to balance the dataset. We progressively removed independent variables based on decreasing importance through backwards elimination to evaluate the classification model's performance. As a result, we identified classification models that best predict star ratings and helpfulness votes for each product's online consumer reviews. Findings We have identified that the core keywords influencing self-evaluation and peer evaluation vary across different products, and even for the same model or features, the core keywords are not consistent. Therefore, companies' producers and marketing managers need to analyze the core keywords of each product to highlight the advantages and prepare customized strategies that compensate for the shortcomings.

• Corrosion Science and Technology
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• 제22권5호
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• pp.387-392
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• 2023

The objective of this study was to evaluate corrosion resistance of Zn-Al-Mg alloy coated steel in residential water with trace quantities of Cl^-. Comparative evaluations were performed using two commercial coated steel products, GI and Galvalume, as reference samples. Examination of corrosion morphology and measurement of weight loss revealed that the Zn-Al-Mg alloy coated steel exhibited higher corrosion resistance than reference samples. This finding suggests that the alloy coated steel possesses long-term corrosion resistance not only in highly Cl^- concentrated environments such as seawater, but also in environments with extremely low levels of Cl^- found in residential water. The primary factor contributing to the superior corrosion resistance of the Zn-Al-Mg alloy coated steel in residential water is the formation of an inhibiting corrosion product composed primarily of two phases: Zn₅(OH)₆(CO₃)₂ and Zn₅(OH)₈Cl₂·H₂O. The preferential dissolution of Mg from the corroded coating layer can increase alkalinity, which might enhance the thermodynamical stability of Zn₅(OH)₆(CO₃)₂.

• Nuclear Engineering and Technology
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• 제56권2호
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• pp.536-545
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• 2024

Radioactive iodine is a representative fission product to be quantified for the safety assessment of nuclear facilities. In integral severe accident analysis codes, the iodine behavior is usually described by a multi-physical model of iodine chemistry in aqueous phase under radiation field and mass transfer through gas-liquid interface. The focus of studies on iodine source term evaluations using the combination approach is usually put on the chemical aspect, but each contribution to the iodine amount released to the environment has not been decomposed so far. In this study, we attempted the decomposition by revising the two-film theory of molecular-iodine mass transfer. The model involves an effective overall mass transfer coefficient to consider the iodine chemistry. The decomposition was performed by regarding the coefficient as a product of two functions of pH and the overall mass transfer coefficient for molecular iodine. The procedure was applied to the EPICUR experiment and suppression chamber in BWR.

• 마케팅과학연구
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• 제18권4호
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• pp.1-32
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• 2008

기업연상(corporate association)이 제품 평가(product responses)에 어떻게 영향을 미치는 가에 대한 연구가 부진하다는 Brown and Dacin(1997)의 문제 제기가 있은 후, 기업연상이 제품 판단에 미치는 영향과 과정에 대한 조절변수와 매개변수들을 파악하려는 연구가 진행되어 왔다. 본 연구에서는 기업연상의 두가지 유형인 CA(corporate ability) 연상과 CSR(corporate social responsibility) 연상이 성능과 재무위험에 미치는 영향력과 그 영향력을 조절하는 변수들을 조사하였다. 분석 결과에 의하면, 주효과(main effects)에 있어서는, 가설에서 기대한 바와 같이 CA 연상이 성능위험과 재무위험에 유의한 영향력을 갖는 것으로 나타난 반면, CSR 연상은 성능위험과 재무위험에 대해 유의한 영향력을 갖지 않는 것으로 나타났다. 조절변수로 인한 상호작용효과와 관련해서는, CA 연상이 성능위험과 재무위험에 미치는 주효과에 대해 제품범주 지식과 관여는 각각 유의한 조절효과를 나타내었다. 하지만, CSR 연상이 성능위험과 재무위험에 미치는 주효과에 대해서는 제품범주 지식과 관여의 조절효과는 나타나지 않았다. 이러한 연구 결과를 통하여 제품의 기능적인 속성에 대한 정보가 부족한 제품에 대해 소비자가 지각하는 위험을 감소시키기 위하여, 기업은 CSR 연상보다는 CA 연상에 대해 강조할 필요가 있다는 결론을 내리게 되었다.

• 통상정보연구
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• 제19권2호
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• pp.193-212
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• 2017

본 연구는 복합원산지제품에 대한 평가를 파악하기 위해 제품의 카테고리 유사성에 따라 구분하고 매장유형 별로 비교해 봄으로써, 복합원산지제품을 생산하는 기업들에게 실무적으로 활용 가능한 대안을 제시하고자 하였다. 이를 위해 본 연구는 복합원산지제품의 평가를 제품카테고리 별로 비교하기 위해 소비자들의 심리적 기저를 바탕으로 공적사치재, 공적필수재, 사적사치재, 사적필수재로 구분하여 분석에 적용하였으며, 매장의 유형은 백화점/직영점, 아울렛/할인매장으로 구분하여 측정의 정교화를 기하고자 하였다. 검증결과, 제품유형과 매장유형에 따라 브랜드평가 및 매장평가는 상호작용효과가 있는 것으로 나타났다. 구체적으로 공적사치재의 경우 브랜드평가와 매장평가 모두 아울렛/할인매장이 백화점/직영매장 보다 긍정적인 평가가 나타나는 것으로 분석되었으며, 사적필수재의 경우는 브랜드평가에서 큰 차이를 보이지 않았으나 매장평가에서 백화점/직영매장이 아울렛/할인매장 보다 상대적으로 긍정적인 평가를 보이는 것을 확인할 수 있었다. 이를 통해, 각각의 제품 별로 판매매장 유형에 따라 소비자들의 평가가 달라질 수 있음을 검증하였다.