이 연구는 관측 지점의 해황 정보 데이터를 기반으로 관측 지점 이외 공간의 해황 정보 데이터를 격자 형식으로 공간 보간하는 방법에 관해 연구한다. 해황 정보를 얻을 수 있는 관측소나 관측 지점의 공간적 분포가 제한되어 있어 단편적인 지점의 해황 정보만을 수 집할 수 있기 때문에 이러한 점을 해결하기 위해 OPEN API를 활용하여 해황 정보 데이터를 수집하고, 데이터 전처리 과정을 통해 관측 데이터가 존재하지 않는 지점의 데이터를 격자 형식으로 공간 보간한다. 본 연구에서 사용된 보간 방법으로는 Cubic spline interpolation, Linear extrapolation, Kriging 3가지 방법을 사용하였고 각 보간 결과의 비교 분석을 통해 보간 결과의 정확도와 공간 보간에 활용 가능성을 평가하였다. 결과적으로 Kriging이 관측된 지점 간의 공간적 분포와 상관관계, 해황 정보의 데이터 구조를 가장 잘 반영하여 관측 지점 이 외 보간에 대한 결과가 다른 두 보간 방법에 비해 높은 정확도를 보여 해황 정보 공간 보간에 적합한 보간 방법으로 판단되었다. 공간 보 간된 데이터는 평균 풍속 및 풍향, 평균 조류 속도 및 방향 등 선박의 조종성에 영향을 미치는 요인을 정밀하게 계산하는 데 활용 가능하 며 선박 항해 경로를 따라 영향을 받는 외력을 파악, 이를 통해 안전성과 경제성을 모두 고려한 경로 탐색에 활용할 수 있을 것으로 기대 된다.

This study examines the impact of others' reviews (reviews, product ratings) on consumer responses (helpfulness & buying intention) in an online shopping platform. We propose that review features, such as review message construal and review inconsistency between review message valence and rating, determine review credibility as product-related information, which in turn influences helpfulness of review and buying intention toward the product. Specifically, low- level construal review messages will be perceived as more credible than high-level construal review messages, which affect helpfulness and buying intention. In addition, the effect of review message construal will be moderated by review inconsistency. The effect of the review message construal will be enhanced in the condition of review consistency (positive content-high rating & negative content-low rating), but it will be disappeared or attenuated in the condition of inconsistency (positive content-low rating, negative content-high rating).

The purpose of this study is to verify how similar the virtual fit pants are to the actual fit of stretchable pants. Data is produced using a virtual model to apply movements. The results show that in the upright position, the similarity between the appearance of the actual fit and the virtual fit is high. Results are 4.47, 4.13 and 4.33 out of 5 on the front, side, and back, respectively. The base line of the front and back, and the amount of allowance in each part were well reproduced by the model. The texture of the virtual fit was evaluated and found to be similar to the actual fabric. In terms of shape and number of wrinkles with the virtual fit pants, large wrinkles were better expressed than fine wrinkles. After applying movements to the virtual model, the front and side results were similar to the actual fit, but the back results were different. As a result of multiple comparisons, the greatest difference in similarity by movements is found in the center front line. The similarity difference was lower on the side than on the front. The only significant difference after applying movements is in the hip circumference margin. According to movements, the similarity of virtual fit is lower on the back than on the front and side, and the back also has the largest similarity differences to the movements type.

The purpose of this study was to develop a 3D mesh-type impact protection pad with excellent motion adaptability and functionality by applying 3D printing technology. The hexagonal 3D mesh, which constitutes the basic structure of the pad, comprises two types: small and large. The bridge connecting the basic units was designed as the I-type, V-type, IV-type, and VV-type. After evaluating the characteristics of the bridge, it was found that the V-type bridge had the highest flexibility and tensile elongation. The hip joint pad and knee pad were completed by combining the hexagonal 3D mesh structure with the optimal bridge design. The impact protection pad was printed using a fused deposition modeling-type 3D printer with a filament made of thermoplastic polyurethane material, and the protection pad’s performance was evaluated. When an impact force of approximately 6,500N was applied to the pad, the force attenuation percentage was 78%, and when an impact force of approximately 8,000N was applied, the force attenuation percentage was 75%. Through these results, it was confirmed that the 3D-printed impact protection pad with a hexagonal 3D mesh structure connected by a V-shaped bridge developed in this study can adapt to changes in the body surface according to movement and provides excellent impact protection performance.