A 12-year-old, spayed female, Pomeranian dog was referred for limbs stiffness and circling movement. Computed tomography(CT) and magnetic resonance imaging(MRI) revealed a contrast-enhanced space-occupying lesion suggestive of meningioma in the olfactory groove to the right frontal lobe. For a successful and accurate surgery, 3D printing technique for preoperative planning and 3D guide was applied. Surgical excision of the meningioma was successfully performed. The postoperative complications were managed through medical treatment and patient care without the revision surgery.

본 연구는 추가적인 장비 없이 UAV만을 사용한 균열폭 측정 및 균열의 3차원 재구성 방법을 제안한다. UAV 사진측량법 및 CNN을이용한 균열의 3차원 재구성 및 균열폭 측정 검증을 위해 5곳의 균열이 존재하는 벽면을 대상으로 균열의 3차원 재구성을 하였 으며 UAV와 균열 사이의 거리 4가지에 대해 균열폭을 측정하고 균열 현미경 측정값과 비교하여 정확성을 검증하였다. 대부분의 균열 에서 균열폭을 정확히 측정하였으나 균열폭이 0.5mm보다 작은 경우와 벽면이 심하게 그늘져 어두운 곳에서는 측정 유효성이 떨어지 는 결과를 보였다.

In this study, the structural performance of the specimen fabricated through 3D printing was evaluated through monotonic loading experiments analysis to apply to 3D printed structures. The compression and flexural experiments were carried out, and the experimental results were compared to the finite element model results. The loading directions of specimens were investigated to consider the capacity of specimens with different curing periods, such as 7 and 28 days. As a result, the strength tended to increase slightly depending on the stacking direction. Also, between the 3D-printed panel composite and the non-reinforced panel, the bending performance depended on the presence or absence of composite reinforcement.

This study seeks to increase the satisfaction of elderly men when purchasing and wearing ready-to-wear clothes by designing a slacks pattern suitable for their body type, which is determined by analyzing their lower bodies using virtual avatars and 3D virtual simulation system. The study found the following. First, based on virtual visualization of the comparison slacks pattern, the waistline position was consistently the lowest scored question among the evaluation survey items. Interpretation of this dissatisfaction suggests that, because the front waistline falls below the abdomen, the lower body, and especially the abdominal shape, is unpleasantly emphasized. Second, by using a virtual simulation system, the study developed a new slacks pattern that considered the concerns of elderly men. The primary measurement changes were as follows: front waist girth W/4+1.5cm+0.5cm, back waist girth W/4+1.5cm–0.5cm, front hip girth H/4+2.5cm–0.5cm, back hip girth H/4+2.5cm+0.5cm. Third, the new slacks pattern’s appearance was evaluated more highly than the comparison pattern, confirming the new pattern’s appropriateness for elderly men. This study demonstrates how slacks and other clothing patterns designed in a 3D virtual garment simulator can be used to design more appealing clothing for elderly men, increasing the satisfaction of wearing ready-made clothes at older ages.

PURPOSES : The evaluation of the low-temperature performance of an asphalt mixture is crucial for mitigating transverse thermal cracking and preventing traffic accidents on expressways. Engineers in pavement agencies must identify and verify the pavement sections that require urgent management. In early 2000, the research division of the Korea Expressway Corporation developed a three-dimensional (3D) pavement condition monitoring profiler vehicle (3DPM) and an advanced infographic (AIG) highway pavement management system computer program. Owing to these efforts, the management of the entire expressway network has become more precise, effective, and efficient. However, current 3DPM and AIG technologies focus only on the pavement surface and not on the entire pavement layer. Over the years, along with monitoring, further strengthening and verification of the feasibility of current 3DPM and AIG technologies by performing extensive mechanical tests and data analyses have been recommended. METHODS : First, the pavement section that required urgent care was selected using the 3DPM and AIG approaches. Second, asphalt mixture cores were acquired from the specified section, and a low-temperature fracture test, semi- circular bending (SCB) test, was performed. The mechanical parameters, energy-release rate, and fracture toughness were computed and compared. RESULTS : As expected, the asphalt mixture cores acquired from the specified pavement section ( poor condition – bad section) exhibited negative fracture performances compared to the control section (good section). CONCLUSIONS : The current 3DPM and AIG approaches in KEC can successfully evaluate and analyze selected pavement conditions. However, more extensive experimental studies and mathematical analyses are required to further strengthen and upgrade current pavement analysis approaches.

Insects, including aphids, caterpillars, and beetles, have a significant impact on biodiversity, ecology, and the economy by consuming various plant tissues like leaves, stems, and fruits, leading to issues such as holes, defoliation, and impaired growth. Consequently, our study's primary goal was to establish a model system capable of identifying and tracking insects, covering aspects like their behaviors, movements, sizes, and patterns. Our research has successfully produced a 3D monitoring system specifically designed for continuous insect tracking by applying it to brown planthopper. This technology allows for in-depth exploration of insect behaviors and their interactions with plants and crops. The potential applications of this technique are highly promising, offering valuable assistance to researchers in unraveling insect behavior and ecological dynamics and driving further advancements in these crucial research areas.

Degenerative arthritis is a common joint disease that affects many elderly people and is typically diagnosed through radiography. However, the need for remote diagnosis is increasing because knee pain and walking disorders caused by degenerative arthritis make face-to-face treatment difficult. This study collects three-dimensional joint coordinates in real time using Azure Kinect DK and calculates 6 gait features through visualization and one-way ANOVA verification. The random forest classifier, trained with these characteristics, classified degenerative arthritis with an accuracy of 97.52%, and the model's basis for classification was identified through classification algorithm by features. Overall, this study not only compensated for the shortcomings of existing diagnostic methods, but also constructed a high-accuracy prediction model using statistically verified gait features and provided detailed prediction results.

This paper proposes a novel approach to preserving and disseminating cultural heritage in the metaverse environment made possible by the advancement of digital technology. The metaverse integrates the real and virtual worlds, enabling experiences similar to real-world museums within the metaverse environment. This technology provides users with more immersive and interactive means to explore cultural heritage. This study addresses the methodology for extracting 3D models from public cultural heritage data sources and integrating these models using the Unity engine to develop a metaverse museum environment. Public data refers to data or information generated or managed by public agencies, encompassing various forms such as text, graphics, images, video, audio, and more. By utilizing 3D data provided by the Cultural Heritage Administration, this research aims to construct a metaverse museum, showcasing the process and outcomes. Through this, users can experience and learn about cultural heritage in more diverse and interesting ways. It is expected that the metaverse will increase the possibility of improving access to and preservation of cultural heritage. Future society requires the ability to understand the metaverse and create new content while communicating and interacting in that space.

The gaming industry is experiencing rapid growth due to recent advances in technology. Game engines such as Unity and Unreal are being actively utilized. These game engines offer a variety of plugins to naturally extend the functionality of the engine. Among them, innovations in 3D graphics technology have made game characters more expressive and enhanced the user experience. However, traditional 3D modeling approaches can sometimes bring limitations and challenges. In particular there are problems with the representation of fine details when utilizing general photos through AI scanning. This paper aims to overcome these difficulties by designing and implementing a game 3D character generation framework using Stable Diffusion. By improving the creation process by utilizing concept art images without hairstyles, it enables fast and efficient character creation. The application of this framework allows for faster and more consistent character creation with fewer steps in the creation process and helps game developers to adapt characters to the engine more easily and quickly. In addition, we verified the effectiveness and scalability of the 3D game character data generated by Stable Diffusion by checking the animation behavior in the game engine.

The thermoelectric effect, which converts waste heat into electricity, holds promise as a renewable energy technology. Recently, bismuth telluride (Bi2Te3)-based alloys are being recognized as important materials for practical applications in the temperature range from room temperature to 500 K. However, conventional sintering processes impose limitations on shape-changeable and tailorable Bi2Te3 materials. To overcome these issues, three-dimensional (3D) printing (additive manufacturing) is being adopted. Although some research results have been reported, relatively few studies on 3D printed thermoelectric materials are being carried out. In this study, we utilize extrusion 3D printing to manufacture n-type Bi1.7Sb0.3Te3 (N-BST). The ink is produced without using organic binders, which could negatively influence its thermoelectric properties. Furthermore, we introduce graphene oxide (GO) at the crystal interface to enhance the electrical properties. The formed N-BST composites exhibit significantly improved electrical conductivity and a higher Seebeck coefficient as the GO content increases. Therefore, we propose that the combination of the extrusion 3D printing process (Direct Ink Writing, DIW) and the incorporation of GO into N-BST offers a convenient and effective approach for achieving higher thermoelectric efficiency.

본 논문에서는 3차원 엮임 재료의 재료 물성치들을 효율적으로 분석하고 추후 최적설계 연구에 활용하기 위해서 파라메트릭 배치 해석 워크플로우를 제시하였다. 3차원 엮임 재료를 구성하는 와이어들 사이의 간격을 설계 매개변수로 하는 파라메트릭 모델에 대해 서 임의의 변수 조합을 가지는 2,500개의 수치 모델을 생성하였으며, 상용 프로그램인 매트랩과 앤시스의 여러 모듈을 사용하여 체적 탄성계수, 열전도도, 유체투과율과 같은 다양한 재료 물성치들을 배치 해석을 통해서 자동으로 얻어질 수 있도록 구성하였다. 이와 같 이 얻어진 대용량의 재료 물성치 데이터베이스를 활용해서 회귀 분석을 수행하였으며, 그 결과 설계 변수들과 재료 물성치 사이의 경 향성과 수치 해석 결과의 정확도를 검증하였다. 또한 확보된 데이터베이스를 통해서 3차원 엮임 재료의 물성치를 예측할 수 있는 인 공 신경망을 구성하고 학습시켰으며, 그 결과 임의의 설계 매개변수 값들을 가지는 엮임 재료 모델에 대해서 구조 및 유체해석 과정 없 이도 높은 정확도로 재료 물성치들을 추정할 수 있음을 확인하였다.