• 디지털융복합연구
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• 제10권1호
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• pp.271-276
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• 2012

최근 전파의 이용이 급증하면서 전파가 인체에 미치는 영향에 대한 관심이 높아지고 있다. 전파가 인체에 미치는 영향에 관한 많은 연구 결과 많은 것이 밝혀졌으나, 실제 전자계 환경에서 인체 보호에 관한 연구는 찾아보기 어렵다. 실험을 위해서 강한 전파를 다루는 연구자들에게 직접적인 보호 방법은 아주 중요한 문제이다. 본 논문에서는 간단한 구조의 차폐를 통한 인체 내 전력 흡수율(SAR) 저감시키기 위한 보호 방법을 제안하고, 2개의 원통형 인체모델을 이용하여 완전도체로 구성한 차폐판 크기와 조사방향에 따른 SAR의 저감효과를 계산하여 그 유효성을 확인하였다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제32권1호
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• pp.22-33
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• 2005

본 논문에서는 얼굴 형태와 유사한 타원체형 모델의 가변적 블록크기를 기반으로 하는 영상정렬 알고리즘을 제안한다. 블록정합 수행 시 좌우 곡률만을 고려한 기존의 실린더형 원형모델 방법은 좌우 영상에 대하여 정확한 정렬을 수행하지만 상하 영상에 대해서는 사람의 두상모양이나 턱 구조의 특징을 반영하지 않았기 때문에 정렬오류가 발생한다. 본 논문에서 제안한 알고리즘은 타원체형 얼굴 모델의 상하 좌우의 곡률에 따라 가변적인 블록크기를 사용하는 블록정합 알고리즘으로서 영상의 상관관계를 이용하여 정확한 정렬을 할 수 있다. 그리고 정렬된 영상으로부터 얼굴 텍스쳐 영상을 생성하기 위하여 영상 모자익 기법을 사용한다. 이때 중첩된 영역에 따라 선형적인 가중치를 부여하여 영상을 스티칭하고 부분적으로 나타나는 고스트 효과를 제거함으로써 더 실감 있는 텍스쳐를 생성한다.

• Earthquakes and Structures
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• 제24권2호
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• pp.111-126
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• 2023

Highly reliable and versatile methods artificial intelligence (AI) have found multiple application in the different fields of science, engineering and health care system. In the present study, we aim to utilize AI method to investigated vibrations in the human leg bone. In this regard, the bone geometry is simplified as a thick cylindrical shell structure. The deep neural network (DNN) is selected for prediction of natural frequency and critical buckling load of the bone cylindrical model. Training of the network is conducted with results of the numerical solution of the governing equations of the bone structure. A suitable optimization algorithm is selected for minimizing the loss function of the DNN. Generalized differential quadrature method (GDQM), and Hamilton's principle are used for solving and obtaining the governing equations of the system. As well as this, in the results section, with the aid of AI some predictions for improving the behaviors of the various sport systems will be given in detail.

• 한국전자파학회논문지
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• 제19권7호
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• pp.727-732
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• 2008

최근 몇 년간 전자파 관련 장비 사용이 증가함에 따라 전자파의 인체 영향 또한 관심이 증가하고 있으며, 또한 이러한 영향을 구체적으로 파악하기 위한 연구가 진행 중이다. 이에 대한 일환으로 이동 통신 단말기에 의한 전자파 인체 흡수율(SAR)에 의한 국내외 표준 제정에 관한 연구가 활발히 진행되었다. 그러나 인체에 대한 침투력이 상대적으로 큰 단파 대역(HF: High Frequency)에 의한 인체 유도 전류에 대한 표준은 연구가 미흡한 편이다. 특히 교통 카드와 도서관 등에서 사용되는 RFID 장비의 활발한 도입으로 RFID 장비의 방출 전자파에 의한 인체 영향 연구가 절실하다. 본 논문은 단파 대역인 13.56 MHz에서 동작하는 RFID 장비에 의하여 인체에 유도되는 전류와 유사한 유도 전류값을 갖는 실린더형 인체 등가 안테나 모형을 설계 및 제작함으로써 RFID 장비의 방출 전자파에 의한 인체의 영향을 양적으로 파악하고, 인체와 인체 등가 모형에 유기되는 유도 전류의 유사성을 확인하였다.

• 한국가시화정보학회지
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• 제10권1호
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• pp.55-59
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• 2012

Reverse Design(RD) plays an important role in simulation engineering, such as CFD (Computational Fluid Dynamics) and Virtual Engineering and Design. RD becomes much more valuable when there is no shape data of the practical models for CFD grid generations. In this study, two-camera based rapid prototyping(RP) system is proposed. 3D-PTV based measurement algorithm was adopted. The developed system was applied to reconstruct three-dimensional data of a human face, a motorcycle model, a cylindrical body and a triangular pyramid.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1999년도 KOBA 방송기술 워크샵 KOBA Broadcasting Technology Workshop
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• pp.133-140
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• 1999

In this paper, we propose a method of image-based three-dimensional modeling for realistic facial expression. In the proposed method, real human facial images are used to deform a generic three-dimensional mesh model and the deformed model is animated to generate facial expression animation. First, we take several pictures of the same person from several view angles. Then we project a three-dimensional face model onto the plane of each facial image and match the projected model with each image. The results are combined to generate a deformed three-dimensional model. We use the feature-based image metamorphosis to match the projected models with images. We then create a synthetic image from the two-dimensional images of a specific person's face. This synthetic image is texture-mapped to the cylindrical projection of the three-dimensional model. We also propose a muscle-based animation technique to generate realistic facial expression animations. This method facilitates the control of the animation. lastly, we show the animation results of the six represenative facial expressions.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.272-275
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• 1997

Noninvasive multifrequency microwave radiometry using coaxial waveguide antenna has been investigated for a homogeneous and our layer human body model. We derived finite-difference time-domain(FDTD) algorithm and equation of MUR and generalized perfectly matched layer(GPML) absorbing boundary conditions(ABCs) in cylindrical coordination. The coupling between coaxial waveguide antenna and a biological object was analyzed by use of the FDTD method using MUR and GPML ABCs to obtain the absorbed power patterns in the media. The specific absorption rates(SAR) distribution which was corresponding to the temperature distribution was calculated in each region by use of the steady-state response in FDTD method. The SAR patterns of FDTD method using MUR ABCs was compared with those of FDTD method using GPML ABCs.

• Structural Engineering and Mechanics
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• 제85권1호
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• pp.15-27
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• 2023

Using artificial intelligence and internet of things methods in engineering and industrial problems has become a widespread method in recent years. The low computational costs and high accuracy without the need to engage human resources in comparison to engineering demands are the main advantages of artificial intelligence. In the present paper, a deep neural network (DNN) with a specific method of optimization is utilize to predict fundamental natural frequency of a cylindrical structure. To provide data for training the DNN, a detailed numerical analysis is presented with the aid of functionally modified couple stress theory (FMCS) and first-order shear deformation theory (FSDT). The governing equations obtained using Hamilton's principle, are further solved engaging generalized differential quadrature method. The results of the numerical solution are utilized to train and test the DNN model. The results are validated at the first step and a comprehensive parametric results are presented thereafter. The results show the high accuracy of the DNN results and effects of different geometrical, modeling and material parameters in the natural frequencies of the structure.

• Steel and Composite Structures
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• 제49권5호
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• pp.487-502
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• 2023

In the realm of nanotechnology, the nonlocal strain gradient theory takes center stage as it scrutinizes the behavior of spinning cantilever nanobeams and nanotubes, pivotal components supporting various mechanical movements in sport structures. The dynamics of these structures have sparked debates within the scientific community, with some contending that nonlocal cantilever models fail to predict dynamic softening, while others propose that they can indeed exhibit stiffness softening characteristics. To address these disparities, this paper investigates the dynamic response of a nonlocal cantilever cylindrical beam under the influence of external discontinuous dynamic loads. The study employs four distinct models: the Euler-Bernoulli beam model, Timoshenko beam model, higher-order beam model, and a novel higher-order tube model. These models account for the effects of functionally graded materials (FGMs) in the radial tube direction, giving rise to nanotubes with varying properties. The Hamilton principle is employed to formulate the governing differential equations and precise boundary conditions. These equations are subsequently solved using the generalized differential quadrature element technique (GDQEM). This research not only advances our understanding of the dynamic behavior of nanotubes but also reveals the intriguing phenomena of both hardening and softening in the nonlocal parameter within cantilever nanostructures. Moreover, the findings hold promise for practical applications, including drug delivery, where the controlled vibrations of nanotubes can enhance the precision and efficiency of medication transport within the human body. By exploring the multifaceted characteristics of nanotubes, this study not only contributes to the design and manufacturing of rotating nanostructures but also offers insights into their potential role in revolutionizing drug delivery systems.

• Smart Structures and Systems
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• 제16권3호
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• pp.479-496
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• 2015

In this work, a novel artificial circular muscle based on shape memory alloy (S.M.A.) is proposed. The design is inspired from the natural circular muscles found in certain organs of the human body such as the small intestine. The heating of the prestrained SMA artificial muscle will induce its contraction. In order to measure the mechanical work provided in this case, the muscle will be mounted on a silicone rubber cylindrical tube prior to heating. After cooling, the reaction of the rubber tube will involve the return of the muscle to its prestrained state. A finite element model of the new SMA artificial muscle was built using the software "ABAQUS". The SMA thermomechanical behavior law was implemented using the user subroutine "UMAT". The numerical results of the finite element analysis of the SMA muscle are presented to shown that the proposed design is able to mimic the behavior of a natural circular muscle.