Business model(BM) innovation is widely known as a differentiated strategy and strategic framework for companies to secure a sustainable competitive advantage in an uncertain environment. While prior research has studied new business models in accordance with changes in manufacturing trends such as digitalization and servitization, empirical understanding of the dynamic processes of BM innovation is still lacking. This study addresses this gap by proposing an analytical framework of the BM innovation matrix that classifies companies' BM innovation cases into four types according to the degree of BM change and the influential level of the industry/market outcome through a critical literature review on business models and dynamics. Drawing on this framework, we conduct longitudinal case studies of leading global 3D printing firms to examine the dynamic processes and external environmental factors that shape the evolution of BM innovation. Our findings reveal previously underexplored patterns of co-evolution between firms’ business models and their broader industrial and market environments. This study has the significance of constructing a framework for dynamically analyzing BM innovation based on longitudinal case studies of emerging 3D printing companies. We presented implications for companies seeking successful commercialization of emerging technologies, such as the strategic usefulness of the BM innovation framework and the importance of co-evolution with industrial structure and environmental factors in the process of change.

본 사례 보고는 소아 뇌 자기공명영상(MRI) 검사에서 협조가 원활하지 않아 움직임에 의한 인공물이 발생하고, 이로 인해 시간차 자기공명혈관촬영(TOF MRA) 영상의 획득이 어려운 상황에서, 삼차원 구조화 자기공명영상(3D MPRAGE)을 수평면(axial) 방향으로 획득한 후 최대강도투사(MIP) 기법을 적용하여 혈관 형태를 성공적으로 시각 화한 사례를 소개하고, 그 임상적 유용성을 평가하고자 한다. 영상 획득 시, TOF MRA는 약 7분, 3D MPRAGE는 약 4~5분의 검사 시간이 소요되었으며, 3D MPRAGE는 짧은 촬영 시간과 인코딩 방향 변경으로 인한 움직임 감소 효과를 보였다. 수평면 3D MPRAGE 영상은 주요 뇌혈관을 효과적으로 시각화하였고, 진단 해상도 면에서도 TOF 영상과 비교해 손색이 없었다. 본 사례 보고는 특히 협조가 어려운 1세에서 7세 사이의 소아 환자에서 3D MPRAGE 기반 MIP 영상이 TOF 영상의 효과적인 대안이 될 수 있음을 시사한다. 또한 혈류 흐름 방향에 맞추어 MPRAGE의 획득 단면을 조정하고 수평면 영상에 MIP 기법을 적용함으로써 뇌혈관 구조 시각화를 최적화할 수 있었다. 비록 미세혈관 표현에는 TOF 영상 대비 한계가 있었으나, 주요 대혈관 영상은 충분한 진단 정보를 제공하였다. TOF 영상 이 혈관에 특화된 반면, 3D MPRAGE는 뇌 실질 영상과 함께 뇌혈관 형태 영상까지 제공할 수 있어, 진정이 필요한 소아 환자에게 보다 유리한 대안이 될 수 있다. 이러한 접근은 검사 시간을 단축시키고, 뇌혈관 질환과 관련된 부가 적인 임상 정보를 함께 제공함으로써 영상의 진단적 가치를 향상시킬 것으로 기대된다.

본 연구에서는 UAV(Unmanned Aerial Vehicle) 기반 LiDAR(Light Detection and Ranging), SfM(Structure from Motion), 그리고 수치지형도 기반 DEM(Digital Elevation Model) 데이터를 동일 지역에 적용하여 지형 데이터의 정밀도와 표현 특성을 정량적으로 비교 분석하였다. 경기도 시흥시 범배산 일대를 연구 대상지로 선정하고, 평지, 완사면, 급사면의 세 구역으로 나누어 고도 및 경사 통계, 경사 방향, 경사도 재분류에 따른 면적 분포를 비교하였다. 분석 결과, UAV LiDAR 기반 DEM은 모든 지형에서 가장 높은 정밀도와 해상도를 보여주었으며, SfM 기반 데이터는 비용과 접근성 면에서 유리하나 식생 및 지형 복잡도에 따라 정확도 변동이 크게 나타났다. 수치지형도 기반 DEM은 해상도는 낮지만 일정한 품질을 유지하며 일반적인 지형 분석에 적합한 것으로 나타났다. 본 연구는 지형 조건과 분석 목적에 따른 공간데이터 선택 기준을 제시하고, UAV 기반 지형 정보 활용 전략 수립에 기초자료로 활용될 수 있다.

In this study, when manufacturing a rectangular plate with a pinhole, the following conclusions were obtained as a result of analyzing the shape characteristics of the unit cell that fills the interior of the plate and the effect of changes in the size of the pinhole on the stress concentration coefficient. 1. The stress value generated in the case of the completely empty model was 13.9 MPa, which is an 18.8% increase in stress compared to the stress value 11.7 MPa generated in the fully filled model. However, since the weight of the empty model is 43.6% lower than that of the filled model, it is believed to be very advantageous in terms of cost. 2. The stress concentration coefficient value is lowest for the solid model and highest for the hollow model at the same d/H value. In other words, you can see that the values are changing within the boxes of the solid model and hollow model. However, the grid matching model is closest to the solid model and the filling rate is as low as 33.4-9.1%, showing the most stable strength when filling empty space.

This study analyzes the visual image effects regarding the design changes of sleeves and shoulders on plus-size women in their 20s and 30s to propose ideas for plus-size women’s clothing production and design. Based on a plus-size women’s basic raglan sleeve shirt, six types of raglan sleeve shirts with various design elements were developed using a 3D virtual imaging program to analyze the visual image effect of each pattern’s features. The results showed that the A-shaped sleeve silhouette, exemplified by Pattern A2, makes the upper body look longer and slimmer as a whole. It also conveyed a sense of refinement and attractiveness, displaying positive effects regarding body shape and aesthetic perception. Meanwhile, O-shaped silhouettes, such as Pattern B1 and Pattern B2, showed positive effects regarding comfort and mobility, while Y-shaped silhouettes, such as Pattern C1 and Pattern C2, created a visually confident appearance. Furthermore, the research examined the effects of static images and dynamic videos on evaluation outcomes. The results showed that dynamic images enhanced immersion and vibrancy, thereby increasing focus on the apparel evaluated. The results of the visual image evaluation can be used as a basis for designing not only raglan sleeves but also overall sleeve shapes.

Women in their 50s undergo significant changes to their bodies, including weight gain and rapid increases in body mass index (BMI) due to menopause. This study aimed to develop a basic bodice pattern suitable for women with a “square” body type, which is the most common type among Korean women in their 50s. We used a body shape avatar representative of square-body-type women in their 50s, provided by 6th Size Korea (KATS, 2010) as the model. This avatar was loaded into a virtual fitting program to evaluate the fit of the research pattern. The results of the study were as follows. Using the 3D virtual fitting program, the ideal bodice pattern was found to be close-fitting, based on an analysis of the body surface of women in their 50s with a square body type. This population’s characteristic body features included a rounded back, forward-protruding waist, forward-tilted neck, and shoulder tips angled toward the center-front. Because of the protruding abdomen, the bodice’s waist dart value was lower than average. The base bodice design for this body type was adapted from the research pattern of Jun and Jang (2024). Adjustments for this study included adding 0.5 cm to the center-back length and designing the profile line from the back neckline to the armpit wall. Further, the front bodice waist dart was omitted to accommodate the protruding abdomen. After two rounds of revisions, evaluations of the virtual fitting significantly improved, with scores increasing from 2.38 out of 5 to 4.82 out of 5.

This study aimed to develop a basic bodice suitable for the body shape of women in their 50s by using the CLO 3D virtual clothing program to create an avatar with the standard body presented in KATS (2022). A pattern was designed and produced using the CLO program, and the virtual fitting was evaluated. First, it was possible to confirm the slope (profile line) from the front center line to the point in front of the neck, the sagging shape of the breast, and the change in body shape due to the increase in bust circumference using the CLO program. Second, the change in body surface and body surface length according to movement was used to identify the profile line. The bust dart was very large. and the bust circumference showed the largest changes (5.05% in the 90° side and 1.5% of the breast width). Third, the total length reference line of the basic bodice was the back length (actual measurement). The total width reference line was the bust circumference/4+2cm and the breast width+0.5cm. The armhole depth reference line was the bust circumference/4–2. A profile line was created from the front neck circumference to the neck shoulder point to the breast point. Darts were formed on the back shoulder and back armhole lines. The allowances were 8 and 6cm for the bust and waist circumferences, respectively. All virtual fitting evaluation items improved significantly over two rounds (from 3.69/5 to 4.66/5 points).

This study explored the development direction of punk fashion through 3D digital fashion design by analyzing the expressive characteristics and inherent meanings of the punk fashion expressed in Vivienne Westwood’s creations. To this end, the concept underlying punk and its expressive characteristics were examined, and the eco-friendly expressive attributes of punk fashion were scrutinized through photos of Vivienne Westwood’s collections. The analysis focused on 10 seasonal collections showcased over the past five years, from the designer’s 2018 S/S to 2022 F/W collections. The results revealed that Westwood’s punk expression was characterized by traditionality, eco-friendliness, playfulness, resistance, and deconstruction. Traditionality appeared in the form of a harmonious redesign of classics to create new works, while eco-friendliness was manifested through the use of slogans and eco-friendly materials and methods. Playfulness conveyed positive messages through comedic situations or characters, and resistance emerged as a means of delivering messages for improving social issues. Finally, the deconstruction of punk was reflected as resistance, boldly destroying fashion structures to express dissatisfaction with society. Punk design in fashion is one of the avenues in which designers effectively express the messages that they want to communicate to society. This study is significant, as it provides foundational data for exploring punk characteristic design strategies to be used in future fashion. The scope of application for 3D virtual clothing programs is expected to expand in the fashion industry, and continuous research on digital fashion design is anticipated.

3D printing using ceramic powder to produce precision ceramic parts has been studied with various additive manufacturing methods. This study analyzed problems occurring in alumina additive manufacturing that uses digital light processing (DLP) as well as methods to address such problems. For efficient analysis, we have classified alumina additive manufacturing into three types according to the driving method of the build platform - lifting type (LT), tilting type (TT) of the vat, and blade movement type (BT). LT had a problem with detachment and cracking of the alumina green body. However, this could be prevented by carefully controlling the cure depth of the suspension slurry and the bonding force between layers and improving the material used for coating the vat. TT, which resulted in non-uniform alumina additive manufacturing, could be improved by modifying the bidirectionality of the axis and the fluidity of the highly viscous alumina suspension slurry. BT resulted in detachment of the specimen as well as non-uniform results, but this could be avoided by shortening the shifting distance of the alumina suspension when it is introduced to the build platform, and enabling effective spreading.