PURPOSES : This study aimed to compare the object detection performance based on various analysis methods using point-cloud data collected from LiDAR sensors with the goal of contributing to safer road environments. The findings of this study provide essential information that enables automated vehicles to accurately perceive their surroundings and effectively avoid potential hazards. Furthermore, they serve as a foundation for LiDAR sensor application to traffic monitoring, thereby enabling the collection and analysis of real-time traffic data in road environments. METHODS : Object detection was performed using models based on different point-cloud processing methods using the KITTI dataset, which consists of real-world driving environment data. The models included PointPillars for the voxel-based approach, PartA2-Net for the point-based approach, and PV-RCNN for the point+voxel-based approach. The performance of each model was compared using the mean average precision (mAP) metric. RESULTS : While all models exhibited a strong performance, PV-RCNN achieved the highest performance across easy, moderate, and hard difficulty levels. PV-RCNN outperformed the other models in bounding box (Bbox), bird’s eye view (BEV), and 3D object detection tasks. These results highlight PV-RCNN's ability to maintain a high performance across diverse driving environments by combining the efficiency of the voxel-based method with the precision of the point-based method. These findings provide foundational insights not only for automated vehicles but also for traffic detection, enabling the accurate detection of various objects in complex road environments. In urban settings, models such as PV-RCNN may be more suitable, whereas in situations requiring real-time processing efficiency, the voxelbased PointPillars model could be advantageous. These findings offer important insights into the model that is best suited for specific scenarios. CONCLUSIONS : The findings of this study aid enhance the safety and reliability of automated driving systems by enabling vehicles to perceive their surroundings accurately and avoid potential hazards at an early stage. Furthermore, the use of LiDAR sensors for traffic monitoring is expected to optimize traffic flow by collecting and analyzing real-time traffic data from road environments.

목적 : 본 문헌 고찰은 임상 전문가가 임상환경에서 3D 프린팅 기술을 활용한 보조도구를 적용하거나 관련 연구를 수행할 때 참고할 수 있는 기초 자료를 제공하는 것을 목적으로 한다. 연구방법 : 국내･외의 전자 데이터베이스 KCI, RISS, PubMed, Scopus와 Web of Science를 사용하여 문헌을 검색하였 다. 검색된 문헌은 문헌 선정 과정에 따라 연구자 2인의 검토를 거쳤으며, 최종 16개의 논문이 선정되었다. 선정된 논문 은 출판연도 및 근거 수준, 저자의 전공 분야, 연구대상자의 일반적 특성, 보조도구의 종류 및 활동 영역, 주요 종속변인 및 평가도구에 대하여 분석하였다. 결과 : 16개의 논문을 분석하여 동향을 살펴본 결과 6편의 논문이 2024년도에 출판되었다. 연구의 근거 수준을 살펴본 결 과, 10편의 논문이 Level 5인 사례연구로 나타났다. 저자의 전공 분야를 살펴본 결과, 보건의료학에 포함되는 전공이 34 회로 나타나 가장 많았으며 그 중에는 작업치료학 전공이 8회로 가장 많았다. 지체장애인을 대상으로 한 연구가 11편으로 가장 많았으며, 지체장애인 중에는 척수손상 장애인을 대상으로 한 연구가 7편으로 가장 많았다. 보조도구를 활동을 중심 으로 분석하였을 때, 식사, 정보접근, 쓰기 활동을 위한 보조도구가 각 6편에서 나타나 가장 많았으며, 보조도구의 종류 는 홀더, 커프형 홀더, 스플린트형 홀더, 기타 보조도구로 구분되었다. 종속변인 및 평가도구에는 보조도구의 만족도를 Quebec User Evaluation of Satisfaction with Assistive Technology(QUEST 2.0)를 이용하여 평가한 문헌이 9편으 로 가장 많았다. 결론 : 본 연구를 통해 3D 프린팅을 활용하여 제작된 보조도구 연구의 출판 연도 및 근거 수준, 저자의 전공 분야, 연구대 상자의 일반적 특성, 보조도구의 종류 및 활동 영역, 주요 종속변인 및 평가도구에 대한 분석을 수행하여 향후 연구에 대 한 방향성을 제시하고자 하였다. 본 연구 결과를 바탕으로 작업치료학을 포함한 보건의료학 분야에서 보다 높은 근거수준 의 연구가 이루어 질 것으로 기대된다.

국내에서는 고속도로에는 콘크리트 포장을 적용하고 있지만 도심지에서는 콘크리트의 양생기간으로 인해 장기간 교통차단이 필요없 는 아스팔트 포장을 주로 적용하고 있다. 그러나 아스팔트 포장은 공용수명이 길지 않아 잦은 유지보수 작업으로 인해 사용자들의 불 편을 초래하고 있다. 본 연구에서는 현장타설 콘크리트 포장 공법을 적용하더라도 즉시 통행이 가능한 포장 임시보호판 개발을 위하 여 임시보호판의 하부 지지보 설치 간격 최적화를 목적으로 3차원 유한요소해석 프로그램을 이용하여 차륜 하중에 대한 응력분포를 분석하였다. 해석에 사용된 임시보호판은 길이 6m, 폭 3m, 두께 0.3m의 콘크리트 슬래브로 구성하였으며, 임시보호판의 하부 지지보 간격을 0.5m, 1m, 1.5m, 3m, 6m로 구성하였다. 하중 조건은 중차량인 버스를 고려하여 타이어 접지 면적당 33,540N의 분포하중을 지지 보 사이에 적용하여 분석하였다. 해석 결과, 하부 지지보 사이의 간격이 좁아질수록 응력이 감소하는 것을 확인하였다.

국내에는 지형적인 조건 또는 그 외의 여러 제약에 따라 줄눈 콘크리트 포장(JCP)을 시공하는 경우가 많았다. JCP는 시공 이후 양생 제로 도포함에도 불구하고 시간이 지남에 따라 부등건조수축이 나타나, 운전자의 승차감과 안정성을 악화시킨다. 이를 해결하기 위해 포장설계 지침을 지속적으로 개정하고 있지만, 부등건조수축으로 인한 민원이 계속 발생하고 있는 실정이다. 본 연구에서는 JCP의 부등건조수축량에 영향을 줄 수 있는 변수를 설정하여 변수에 따른 거동 차이를 보고자 하였다. 3D 유한요소해 석 프로그램 ABAQUS를 이용하여 유한요소법을 통한 해석을 진행하였고, 모델링은 2차로 6 슬래브를 모형화하였다. JCP의 부등건조 수축량에 영향을 주는 슬래브 깊이별 온도변화가 포장설계에 따라 어떻게 변화하는지 고려하기 위하여, 그에 대한 변수로 하부층 종 류의 영향, 슬래브 두께의 영향, 주행차로 다웰바 추가 설치 유무의 영향, 줄눈 간격의 영향을 설정하였다. 기본적인 모델의 유한요소해석 부등건조수축량 결과와 위에서 설정한 변수를 적용하여 만든 모델에 대한 유한요소해석 부등건조수축 량 결과를 각각 도출하였고, 기본 모델 결과와 변수를 적용한 모델 결과를 비교하여 각각의 인자가 어느 정도의 영향을 미치는지 확 인해 보았다. 영향이 큰 인자들을 선별하여 복합적인 변수에 대한 영향을 보고자 하였고, 복합 변수를 적용한 모델의 유한요소해석 부등건조수축 량 결과와 기본 모델의 유항요소해석 부등건조수축량 결과를 비교하여 그 차이가 어느 정도인지 확인하였다. 이에 따라 앞으로 JCP구 간 부등건조수축에 대한 해결을 위해 중점을 두어야 할 인자를 파악할 수 있었으며, 결과를 현장에 적절하게 적용한다면 도로 주행성 과 안전성을 개선할 수 있을 것으로 판단된다. 유한요소해석 결과에 대한 신뢰도를 부여하기 위해 현장 데이터와도 비교 분석하였고, 계절에 따라 약간의 차이는 있었으나, 평균값 과는 유사하여 본 연구의 구조해석 모형이 다양한 조건에 따른 연직변위 발생함에 있어 비교하는데 유용하다고 판단하였다.

In this paper, we aim to improve the output quality of a food 3D printer through optimized component design and implementation. Existing 3D printers produce customized outputs according to consumer needs, but have problems with output speed and poor quality. In this paper, we aim to solve this problem through optimized design of unit parts such as the extruder, nozzle, guide, and external case. Fusion 360 was used for element design, and in the performance evaluation of the implemented system, the average precision was 0.06mm, which is higher than the non-repeatable precision of ±0.1㎜ of other products, and the feed speed of the existing system was evaluated to be more than twice as fast, from 70mm/s to 140mm/s. In the future, we plan to continuously research output elements that can produce texture and color and device control methods for convenience.

본 논문은 모바일 폰 사진을 활용하여 도시 공간에서 전력선과 건물 사이의 거리를 편리하게 모델링하고 측정하는 방법에 중점을 두고 있으며, 이에 대한 정확성을 평가하였다. 모바일 장 치용 2뷰 지오메트리를 사용한 전력선과 건물의 3D 재구성 방법을 설계하여 어디에서나 즉시 측정할 수 있도록 하였다. 특징점을 사용하여 전력선과 건물 사이의 거리를 계산하고 건물 정 보를 활용하여 게임 가상 공간에 전력선과 전주를 배치할 수 있다. 본 논문에서는 대전시 내 10개의 위치에서 실험을 실시하고, 상업용 시스템과 LiDAR가 있는 경우와 없는 경우를 포함 한 이전 방법과의 성능을 평가하였다. 우리의 방법을 스마트폰에 구현했기 때문에 장점은 휴 대성과 저렴함이다.

The purpose of this study is to produce virtual models of women aged in their 60s and to implement the virtual clothing with jackets. We referred to 3D images of standard and obese body types from the 8th Size Korea and attempted to create avatars based on their images through the various trials. Final virtual models were made to reflect the appearance of women in their 60s. For the standard body type, a 3D image with average body measurements was selected. Based on numerous trials aimed at turning her image into an avatar, the auto-converted avatar on CLO 3D was slimmer than the woman in the original image, and hence it was not suitable for the virtual model. After blending, we converted the image into an uneditable avatar for which only the joint points could be moved, thereby creating an avatar that was identical to the original image. We also selected an image of an obese woman with a “beer bottle” body shape from the 8th Size Korea. We created an avatar that resembled her shape by also converting it into an uneditable avatar for which only joint points could be moved. To use these avatars in virtual clothing, we removed masks of avatars and made faces, hair styles, and skin tones representing women in their 60s. The moderately-sized classic jackets were smooth on both virtual models and fitted satisfactorily. This study demonstrated the applicability of virtual model production of various body types or ages in special clothing studies.

PURPOSES : This study aimed to perform real-time on-site construction volume management by using Internet of things (IoT) technology consisting of 3D scanning, image acquisition, wireless communication systems, and mobile apps for new and maintenance construction of concrete bridge deck overlays. METHODS : LiDAR was used to scan the overlay before and after construction to check the overlay volume. An enhanced inductively coupled plasma (ICP) method was applied to merge the LiDAR data scanned from multiple locations to reduce noise, and an anisotropic filter was applied for efficient three-dimensional shape modeling of the merged LiDAR data. The construction volume counter of the mobile mixer was directly photographed using an IP camera, and the data were transmitted to a central server via the LTE network. The video images were transmitted to the central server and optical character recognition (OCR) was used to recognize the counter number and store it. The system was built such that the stored information could be checked in real time in the field or at the office. RESULTS : As a result of using LiDAR to check the amount of overlay construction, the error from the planned amount was 0.6%. By photographing the counter of the mobile mixer using an IP camera and identifying the number on the counter using OCR to check the quantity, the results showed that there was a 2% difference from the planned quantity. CONCLUSIONS : Although the method for checking the amount of construction on site using LiDAR remains limited, it has the advantage of storing and managing the geometric information of the site more accurately. Through the IoT-based on-site production management system, we were able to identify the amount of concrete used in real time with relative accuracy.

As the demand for electric vehicles increases, the stability of batteries has become one of the most significant issues. The battery housing, which protects the battery from external stimuli such as vibration, shock, and heat, is the crucial element in resolving safety problems. Conventional metal battery housings are being converted into polymer composites due to their lightweight and improved corrosion resistance to moisture. The transition to polymer composites requires high mechanical strength, electrical insulation, and thermal stability. In this paper, we proposes a high-strength nanocomposite made by infiltrating epoxy into a 3D aligned h-BN structure. The developed 3D aligned h-BN/epoxy composite not only exhibits a high compressive strength (108 MPa) but also demonstrates excellent electrical insulation and thermal stability, with a stable electrical resistivity at 200 °C and a low thermal expansion coefficient (11.46×ppm/°C), respectively.

ㅊThis study aims to analyze fashion design cases using traditional elements based on the research and analysis of traditional folk cultural paper-cutting crafts in China, and to expand the area of fashion design using traditional elements by developing 3D digital fashion design. For herein, the techniques and characteristics of Chinese paper-cutting crafts were investigated. This survey facilitated an analysis of the formative characteristics of battery crafts in contemporary fashion design. As for the analysis case, the case of using battery crafts expressed in modern fashion for 10 years from 2010 to 2024 S/S was selected. The results are as follows. First, the typical characteristics of Chinese paper cutting technology—relief, micro-carved, combined with relief and micro-carved expressive techniques of engraving art effect— can be explored by analyzing contemporary fashion case collections through the perspective and trend of leading traditional culture. Second, in the traditional paper cutting process, most paper-cutting works are expressed in red, but white and black are mainly used in fashion, in addition to the active use of the five colors. Third, the characteristics of contemporary fashion patterns primarily utilize the paper-cutting process, incorporating elements such as plants, animals, and geometric patterns. Fourth, the utilization of paper cutting in 3D digital design offers time and economic benefits, allowing for quick adjustments to various design developments. In contemporary fashion, it is expected that the use of paper cutting can provide useful creativity and value for the inheritance and modernization of traditional culture.

게임 엔진과 같은 3D공간에서 프로시저럴 모델링 애셋을 사용하여 도시를 구성하는 방식은 이전부터 존재하여 다양한 방법으로 제작되어 왔습니다. 초기 제작시간은 길지만 라이브러리가 구축됨에 따라, 크기와 모양이 다양한 건물을 보다 빠르고 다양하게 배치가 가능하다는 장점 을 바탕으로 사용되었습니다. 하지만, 앙곡과 안허리곡으로 이루어진 이중곡선을 가지며 결구 방식에 따라 모양이 변화하는 한옥의 경우에는 프로시저럴 기법으로 모델링 애셋을 제작하기 어려워 수동 모델링이나 스캔 데이터 형식으로만 존재하는 불편함이 존재하였습니다. 그렇기 에, 본 연구에서는 게임 엔진에서 사용이 가능한 가변적인 한옥 모델링에 대한 프로시저럴 기 법에 대해 소개하고자 합니다.

본 연구에서는 Text-to-3D 생성형 AI 기술을 활용하여 메타버스 방 꾸미기 게임의 프로토타 입을 설계하고 구현하고자 하였다. <Roblox>와 <Minecraft>와 같은 가상 현실 기반의 메타버 스 게임은 사용자를 단순한 플레이어에서 창작자인 크리에이터로 발전할 수 있게 하였고 이러 한 재미 요소는 대중적인 인기에 이바지하였다. 생성형 AI는 데이터와 패턴을 기반으로 다양 한 형태의 미디어 콘텐츠를 쉽게 생성할 수 있으며, 게임 개발에도 마찬가지로 유용하다. 이러 한 생성형 AI를 통한 콘텐츠 제작은 시간과 비용을 절약할 뿐만 아니라 결과적으로 콘텐츠의 품질을 높이고 다양성을 확보할 수 있다. 본 연구에서는 언리얼 엔진의 네트워크 프레임워크 를 활용한 리슨 서버(Listen-Server) 방식으로 방 꾸미기 게임을 설계 및 구현하였다. 이 게 임의 핵심 시스템은 메타버스에서 사용자가 쉽게 생성형 AI로 3D 모델을 생성하고, 자신의 방 에 배치할 수 있게 하는 것이다. 본 연구를 통해 코딩 기초 이해는 물론 좀 더 쉬운 방법으로 3D 오브젝트 생성을 통해 사용자가 원하는 메타버스 플랫폼 제작을 가능하게 하며 이러한 과 정은 사용자뿐만 아니라 동시에 창작자의 역할로 이용자의 주체성, 창의성, 의사소통 능력 등 을 향상할 가능성을 찾고자 한다. 그뿐만 아니라 기본적인 코딩 학습을 이해함으로써 사용자 의 창작 활동에 기회를 확장할 뿐만 아니라 메타버스 콘텐츠 개발에 이바지하고자 한다.

This paper reports an enhanced strategy for improving the mechanical flexibility and ionic kinetic properties of a double network hydrogel based on Co2+- coordination assistance. The modified double-network hydrogel was obtained by using acrylic acid and N, N-dimethylacrylamide as monomers, adding cross-linking agents and 3D nitrogen-doped graphenes. The tensile fracture rate of the modified hydrogel was 1925% and its tensile strength was 1696 kPa. In addition, the hydrogel exhibited excellent ionic dynamics, and its application to an all-solid-state supercapacitor was able to achieve a specific capacitance of up to 182.8 F g− 1. The supercapacitor exhibited an energy density of 34.2 Wh kg− 1, even when operating at a power density of 5 kW kg− 1, highlighting its significant potential for practical applications.

Research has been conducted on a wide variety of 3D printer circular fin heads. In this study, we proposed a sequence and method for a more efficient mesh study in the CFD model to calculate the Nusselt number of the circular fin head of an FDM 3D printer using the Taguchi method, sensitivity, and ANOVA. As a result, the CFD model to calculate the Nusselt number of the circular fin head of an FDM 3D printer has high sensitivity and contribution in the order of Base target mesh size, Prism layer number, and Prism layer thickness. We propose to increase work efficiency by performing mesh optimization in the order of factors with high sensitivity to level changes.

PURPOSES : Pavement surface friction depends significantly on pavement surface texture characteristics. The mean texture depth (MTD), which is an index representing pavement surface texture characteristics, is typically used to predict pavement surface friction. However, the MTD may not be sufficient to represent the texture characteristics to predict friction. To enhance the prediction of pavement surface friction, one must select additional variables that can explain complex pavement surface textures. METHODS : In this study, pavement surface texture characteristics that affect pavement surface friction were analyzed based on the friction mechanism. The wavelength, pavement surface texture shape, and pavement texture depth were hypothesized to significantly affect the surface friction of pavement. To verify this, the effects of the three abovementioned pavement surface texture characteristics on pavement surface friction must be investigated. However, because the surface texture of actual pavements is irregular, examining the individual effects of these characteristics is difficult. To achieve this goal, the selected pavement surface texture characteristics were formed quantitatively, and the irregularities of the actual pavement surface texture were improved by artificially forming the pavement surface texture using threedimensionally printed specimens. To reflect the pavement surface texture characteristics in the specimen, the MTD was set as the pavement surface texture depth, and the exposed aggregate number (EAN) was set as a variable. Additionally, the aggregate shape was controlled to reflect the characteristics of the pavement surface texture of the specimen. Subsequently, a shape index was proposed and implemented in a statistical analysis to investigate its effect on pavement friction. The pavement surface friction was measured via the British pendulum test, which enables measurement to be performed in narrow areas, considering the limited size of the three-dimensionally printed specimens. On wet pavement surfaces, the pavement surface friction reduced significantly because of the water film, which intensified the effect of the pavement surface texture. Therefore, the pavement surface friction was measured under wet conditions. Accordingly, a BPN (wet) prediction model was proposed by statistically analyzing the relationship among the MTD, EAN, aggregate shape, and BPN (wet). RESULTS : Pavement surface friction is affected by adhesion and hysteresis, with hysteresis being the predominant factor under wet conditions. Because hysteresis is caused by the deformation of rubber, pavement surface friction can be secured through the formation of a pavement surface texture that causes rubber deformation. Hysteresis occurs through the function of macro-textures among pavement surface textures, and the effects of macro-texture factors such as the EAN, MTD, and aggregate shape on the BPN (wet) are as follows: 1) The MTD ranges set in this study are 0.8, 1.0, and 1.2, and under the experimental conditions, the BPN (wet) increases linearly with the MTD. 2) An optimum EAN is indicated when the BPN (wet) is the maximum, and the BPN decreases after its maximum value is attained. This may be because when the EAN increases excessively, the space for the rubber to penetrate decreases, thereby reducing the hysteresis. 3) The shape of the aggregate is closely related to the EAN; meanwhile, the maximum value of the pavement surface friction and the optimum EAN change depending on the aggregate shape. This is believed to be due to changes in the rubber penetration volume based on the aggregate shape. Based on the results above, a statistical prediction model for the BPN (wet) is proposed using the MTD, EAN, and shape index as variables. CONCLUSIONS : The EAN, MTD, and aggregate shape are crucial factors in predicting skid resistance. Notably, the EAN and aggregate shape, which are not incorporated into existing pavement surface friction prediction models, affect the pavement surface friction. However, the texture of the specimen created via three-dimensional printing differs significantly from the actual pavement surface texture. Therefore, the pavement surface friction prediction model proposed in this study should be supplemented with comparisons with actual pavement surface data in the future.

This paper introduces a study on measuring the 3D vibration displacement of plate structure using Digital Image Correlation (DIC) applied to stereo digital continuous camera images. The proposed method is a non-contact 3D displacement measurement method that does not require physical sensors to be attached to the structure, and it has the advantage of simultaneously measuring dynamic displacements at multiple points on the structure. Theoretically, multiple cameras can be used, but in this study, two cameras were used to capture continuous images of the vibrating structure, and the image coordinates of multiple tracking points at arbitrary positions on the structure were measured using correlation matching. Using these image coordinates as input data, the dynamic 3D positions were calculated through Space intersection, successfully determining the 3D dynamic displacements. The measured dynamic displacements were validated for accuracy by comparing them with values measured by laser displacement sensors. And frequencies of measured data were validated by comparing with computational modal analysis by Finite Element Model (FEM).

Stathmopodidae, in the superfamily Gelechioidea, was first described by Edward Meyrick in 1913. This family has various characteristics, such as feeding on crops, moss, spores of fern, aphids, etc., but there is a lot of difficulty in identification due to morphological similarities between species. Therefore, it is necessary to understand the genitalia structure through dissection, but this process necessarily involves damage to the type specimen. To solve these problems, Micro-CT(Computed Tomography) which allows observation of internal structures without damage, was utilized to create a 3D model of the genitalia. In this study, the genitalia structure of Stathmopoda pedella (Linnaeus, 1761), the type species of Stathmopodidae, was imaged using Micro-CT under a resolution of 4 um conditions, providing a 3D description.