• 한국시뮬레이션학회논문지
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• 제19권4호
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• pp.77-87
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• 2010

현대는 산업사회에서 정보화 사회로 변화되고 있다. 이에 따라 전쟁 양상도 정보전, 네트워크 중심전, 장거리 정밀전, 로봇전으로 발전되어 고도의 첨단 과학군으로 변화를 시도하고 있다. 이러한 전투발전을 위한 전력창출을 위해 중요시 되고 있는 것이 전투실험이다. 전투실험은 LVC를 통한 입체적인 평가체계를 사용하는 것이 바람직하나, 비용 시간 장소 자원의 제한으로 M&S(Modeling & Simulation)를 통한 모의분석을 주로 활용한다. 하지만 모델 개발을 위한 평가절차에 대한 연구는 많이 이루어지고 있지만, 전투실험에 대한 모델운용상의 모의분석절차의 정립이 미흡하다. 본 연구에서는 전투실험간 모델운용의 타당성 평가체계(VV&A : Verification Validation & Accreditation)가 보완된 모의분석 방법과 절차를 정립하였고, "미래향토사단 군수부대편성의 적절성 평가"를 위해 지상무기효과분석모델(AWAM : Army Weapon Analysis Model)을 통한 후방 지역작전 모의분석 사례를 제시하였다. 본 연구는 신뢰성있는 평가체계를 바탕을 둔 효과적인 모의분석방법을 제시하여 전투실험을 위해 크게 기여할 것으로 판단된다.

• 디지털콘텐츠학회 논문지
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• 제11권2호
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• pp.243-251
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• 2010

본 논문에서는 2개의 입력영상장치를 통해 출력영상장치에 투영되는 실물 객체의 3D 정보를 추출하여 가상의 공간에 실물 객체를 위치한다. 객체는 모두 각 객체간 상호 3D 정보 및 위치정보를 인식함으로써 충돌처리를 유효화 시킨다. 본 논문에서 제안한 실물 객체의 3D 정보 추출 및 충돌처리는 객체간 상호작용에 있어 가장 기본적인 문제이기 때문에 증강현실에 있어서 무엇보다 선결해야 할 문제이다. 따라서 제안된 시스템에서는 이 문제를 해결하여 가상 공간에 존재하는 모든 객체간의 충돌을 유효화 시킴으로써 사용자의 현실감과 몰입감을 증대시킴을 목적으로 한다.

• 한국산업융합학회 논문집
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• 제25권5호
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• pp.757-764
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• 2022

Recently the car tuning has become a trailblazing and creative culture that expresses the personality of the owner. In this paper, the "Car-Vatar", which is the compound word formed from the words "Car" and "Avatar", has been developed to investigate car tuning on the metaverse engineering platform. The Car-Vatar has been developed as a web-based vehicle dynamic simulation service for providing information about car tuning. That has been focused on investigating diverse vehicular performances, such as acceleration, braking, handling and fuel efficiency, according to the tuning vehicles and tuning parts on the virtual engineering platform. The Car-Vatar platform has provided two major services; one is real-time 3D tuning information system for the dress-up and performance-up tuning parts, the other is diverse vehicle dynamics system for the performance-up tuning parts. To check the validation of the Car-Vatar platform, the comparison between virtual simulation results and driving test results has been discussed on various driving environments.

• 디지털산업정보학회논문지
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• 제19권2호
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• pp.161-175
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• 2023

The purpose of this study is the effects of Social Characteristics and Personal Characteristics on Virtual Asset Purchase Intention. TPB (Theory of Planned Behavior) model is validated as a theoretical background. possessiveness, and innovation tendency, herding, subjective norm, attitude, and Purchase intention were composed of variables. The method of the study collected 474 data of those experienced in NFT through a survey and conducted as a structural equation modeling method using AMOS. The result of this paper shows that 4 hypotheses are accepted statistically significant except 1 hypotheses among 5 hypotheses. Therefore, this study demonstrated the factors that influence the purchase intention of non-fungible tokens. This study concluded that possessiveness, herding, subjective norm, attitude had a statistically significant effect on Purchase intention. NFT research is just getting started, and there are not many empirical studies targeting investors, interested people, and companies. In this respect, this study will be able to provide useful information for NFT research.

• Journal of Information Technology Applications and Management
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• 제30권6호
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• pp.53-68
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• 2023

Through the COVID-19 pandemic, the demand for non-face-to-face communication systems has surged, leading to an increased prevalence of virtual interactions across various domains, such as tasks, meetings, orders and deliveries, and even student education. Against this backdrop, interest in the metaverse platform has been on the rise, with metaverse services like Zepeto, Roblox, and Minecraft expanding beyond gaming to encompass educational fields as well. This study aims to identify authenticity factors influencing metaverse platform-based educational services and examine their impact. The authenticity components are defined as integrity, empathy, interactivity, presence, and uniqueness. The study investigates the effects of these authenticity components on both service value and service satisfaction. To achieve this, a survey involving 320 metaverse users was conducted, and the model was subjected to statistical validation. The findings of this research underscore that perceiving metaverse education services, still in the early stages of introduction, as authentic educational methods for learners positively influences satisfaction with the educational service.This study holds significance as it lays the theoretical groundwork for enhancing the authenticity of educational services in virtual space. It defines and proposes authenticity elements for customer satisfaction in metaverse educational services, which are still in their nascent stages. Moving forward, it is anticipated that various studies will be conducted to enhance the value of metaverse education services and achieve higher customer satisfaction as customer experiences evolve and deepen.

• Smart Structures and Systems
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• 제26권3호
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• pp.373-390
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• 2020

Hybrid simulation (HS) is a versatile tool for structural performance evaluation under dynamic loads. Although real structural responses are often multiple-directional owing to an eccentric mass/stiffness of the structure and/or excitations not along structural major axes, few HS in this field takes into account structural responses in multiple directions. Multi-directional loading is more challenging than uni-directional loading as there is a nonlinear transformation between actuator and specimen coordinate systems, increasing the difficulty of suppressing loading error. Moreover, redundant actuators may exist in multi-directional hybrid simulations of large-scale structures, which requires the loading strategy to contain ineffective loading of multiple actuators. To address these issues, lately a new strategy was conceived for accurate reproduction of desired displacements in bi-directional hybrid simulations (BHS), which is characterized in two features, i.e., iterative displacement command updating based on the Jacobian matrix considering nonlinear geometric relationships, and force-based control for compensating ineffective forces of redundant actuators. This paper performs performance validation and application of this new mixed loading strategy. In particular, virtual BHS considering linear and nonlinear specimen models, and the diversity of actuator properties were carried out. A validation test was implemented with a steel frame specimen. A real application of this strategy to BHS on a full-scale 2-story frame specimen was performed. Studies showed that this strategy exhibited excellent tracking performance for the measured displacements of the control point and remarkable compensation for ineffective forces of the redundant actuator. This strategy was demonstrated to be capable of accurately and effectively reproducing the desired displacements in large-scale BHS.

• 대한기계학회논문집A
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• 제36권11호
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• pp.1371-1379
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• 2012

본 논문에서는 직접분사 가솔린엔진 부품에 의해서 발생하는 진동에 대한 기여도를 분석하는 방법을 제시한다. 본 연구에서는 부분기여도함수를 적용하여 부품 상호간의 관련성에 대한 진동원을 규명 하는데 사용하였다. 직접분사 가솔린 엔진 부품의 진동원을 규명하는데 부분기여도함수 방법을 사용하기 위해서는 시스템의 모델링이 필요하며 본 연구에서는 진동 발생 경로를 2 입력과 단일 출력계로 시스템을 모델링하였다. 이 모델링을 증명 하기 위해서, 직접분사가솔린 엔진의 진동원인 고압펌프, 연료레일, 인젝터, 고압센서에 3 축 가속도계 센서로 각 부품의 진동을 측정했다. 이 모델링을 바탕으로 각각의 진동원에 대한 부분기여도 함수를 구했으며, 직접분사 부품들의 각각의 진동 기여도를 계산하였다. 부분기여도 함수를 바탕으로 한 모델링을 통해 각 부품들에서 발생되는 진동 출력 기여 값을 정량적으로 도출하였다.

• 한국산학기술학회논문지
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• 제12권11호
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• pp.5202-5207
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• 2011

여러 산업 분야에서 온도 제어 시스템 설계는 매우 중요한 문제이다. 시스템 개발을 위해서는 개념적인 디자인, 실제 테스트를 위한 시스템 구현, 반복적인 실험을 통한 제어기 설계용 수식모델 도출, 제어기 설계 및 성능 테스트의 과정을 거친다. 통상적으로 실제 테스트 시스템 구현 및 반복적인 실험을 통한 모델링, 제어기 설계 및 성능 테스트에 매우 많은 시간과 비용이 소요된다. 대부분의 온도 제어 시스템 설계 문제에서 동작 온도는 복사 열전달은 무시될 수 있는 범위이며, 히터는 듀티비를 이용하여 ON/OFF 방식으로 제어된다. 본 논문에서는 이러한 조건에서 개념적인 초기 시스템 디자인 후 제어기 설계용 모델 도출에서부터 제어기 설계 및 제어성능 예측까지의 전 과정을 자동으로 수행할 수 있는 기법을 제시하여 온도 제어 시스템의 초기 설계를 손쉽고 빠르게 검증 할 수 있도록 하였다. SISO (Single Input Single Output) 시스템을 예로 들어 제안한 기법의 유용함을 보였다.

• 대한이식학회지
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• 제31권4호
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• pp.170-176
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• 2017

We need to establish an informative guideline to increase inter-institutional and inter-observer reproducibility of renal transplant diagnosis, and to improve the diagnostic ability of pathologists in Korea. A first nation-wide survey for renal transplant pathology was conducted by Renal Pathology Study Group of the Korean Society of Pathologists in 2016, to provide the continued excellence in the transplantation pathology laboratory, and to improve the diagnostic ability for the best treatment of transplant patients. This survey revealed the significant variations in scale, work load and biopsy indications for the renal transplant pathology in various institutions in Korea. The Banff classification were used by all institutions for the diagnosis of renal transplant pathology, but different formats were used: most institutions (70%) used the "2013 Banff classification" while the others were using "2007 Banff classification" (20%) or even older formats. In daily diagnostic practice of the renal allografts, difficulties that pathologists encounter were quite diverse due to different environments they work in. Most respondents agreed that standardized diagnostic practice guidelines, regular education on renal transplant pathology and convenient ways of consultation are further needed. We are currently working toward the enhancement of the expertise of renal pathologists and to increase inter-institutional and inter-observer reproducibility by 1) development of a set of virtual slides of renal allograft biopsies for the training, 2) validation and gathering expert's consensus on the core variables of rejection diagnosis by using virtual slides, and 3) continued education by the developed virtual slide atlas.

• Journal of Radiation Protection and Research
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• 제42권1호
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• pp.9-15
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• 2017

Background: The purpose of this study is to assign an appropriate density to virtual phantom for 2D diode array detector with different dose calculation algorithms to guarantee the accuracy of patient-specific QA. Materials and Methods: Ten VMAT plans with 6 MV photon beam and ten VMAT plans with 15 MV photon beam were selected retrospectively. The computed tomography (CT) images of MapCHECK2 with MapPHAN were acquired to design the virtual phantom images. For all plans, dose distributions were calculated for the virtual phantoms with four different materials by AAA and AXB algorithms. The four materials were polystyrene, 455 HU, Jursinic phantom, and PVC. Passing rates for several gamma criteria were calculated by comparing the measured dose distribution with calculated dose distributions of four materials. Results and Discussion: For validation of AXB modeling in clinic, the mean percentages of agreement in the cases of dose difference criteria of 1.0% and 2.0% for 6 MV were $97.2%{\pm}2.3%$, and $99.4%{\pm}1.1%$, respectively while those for 15 MV were $98.5%{\pm}0.85%$ and $99.8%{\pm}0.2%$, respectively. In the case of 2%/2 mm, all mean passing rates were more than 96.0% and 97.2% for 6 MV and 15 MV, respectively, regardless of the virtual phantoms of different materials and dose calculation algorithms. The passing rates in all criteria slightly increased for AXB as well as AAA when using 455 HU rather than polystyrene. Conclusion: The virtual phantom which had a 455 HU values showed high passing rates for all gamma criteria. To guarantee the accuracy of patent-specific VMAT QA, each institution should fine-tune the mass density or HU values of this device.