• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.33 no.3
• /
• pp.179-186
• /
• 2020

In this study, the wall stress and rupture risk for abdominal aortic aneurysms were calculated based on the age and geometry of the examined abdominal aortic aneurysms. The geometry of the abdominal aorta was simulated using computed tomography data from patients with abdominal aortic aneurysms. With regard to material properties, the Gasser-Ogden-Holzapfel model was applied to the analysis to simulate the anisotropic hyperelastic characteristics of the artery. In addition, each material parameter was estimated to consider the properties for age and for normal and aneurysm tissue. Moreover, the correlation between the diameter and angle of the aortic aneurysms was analyzed based on data from patients with abdominal aortic aneurysms, and series simulations were conducted. As a result, the rupture risk for the abdominal aortic aneurysms was evaluated based on the age and geometry of the aneurysm.

• Journal of KIISE
• /
• v.42 no.6
• /
• pp.734-747
• /
• 2015

The aging population and the advancement of science and technology are transforming the healthcare industry to focus on health management for the prevention of diseases. The U-health and remote healthcare services have not yet achieved the social agreement in the nation; however, these have been extensively used in the global scale. The innovation of user experience through cognitive computing are expected to increase the health effects of consumers, by converging with healthcare information services. This study suggests the conceptual model of healthcare information service converged with cognitive computing. Then, the acceptance factors for consumers have been investigated. For this purpose, reliability and validity analysis have been conducted using an online survey. The path analysis was performed to verify the hypotheses and moderating effect based upon the gender, by using structural equation modeling.

• Journal of the Korea Computer Graphics Society
• /
• v.21 no.3
• /
• pp.27-35
• /
• 2015

This study presents a volume rendering method using ambient occlusion which is one of global illumination methods. By considering the volume density distribution as normal distribution, ambient occlusion can be calculated at real-time speed regardless of modification of opacity transfer function. We calculate and store the averages and standard deviations of densities in a block centered at each voxel in pre-processing time. In rendering process, we determine the illumination value by estimating the nearby opacity. We generalized theoretical model and generated better quality images improving our previous research. In detail, various shapes of transfer function can be used due to the proposed equation model. Moreover, we introduced a multi-range model to give nearer objects more weight. As the result, more realistic volume rendering image can be generated at real-time speed by mixing local and ambient occlusion shading.

• The Journal of the Korea Contents Association
• /
• v.11 no.1
• /
• pp.16-25
• /
• 2011

Some context is characterized by a single event in computing environment, but many other contexts are determined by a lot of things which occur with a space and a time. The Realtime Embedded System context-awareness service that interacts with the physical space can have property such as time. The exceptional behaviors of the system that interact with physical space can result in critical damage and cause danger to the operation of an embedded system. we propose an approach which should include spatio-temporal property and exceptional management in the context model, and verify its effectiveness using an expanded Petri-Net. The context-awareness service modeling of an embedded system is discussed the properties of model such as basic Petri-Net, patterned Petri-Net, or Spatio-temporal Petri-Net for the exceptional behaviors of the system. The proposed methodology demonstrated using an example that is emergency medical service. The use of expanded Petri-Net will contribute not only to develop the application but also to model the spatio-temporal context awareness for the exceptional handling.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.24 no.3
• /
• pp.233-239
• /
• 2004

Smart material is used in various applications such as for glass frame, for medical instruments and for a part of sensors. Smart composite materials ran be applied to a part of aircraft and to the on-line monitoring system for industrial structures, using the shape memory effect. However, it is very difficult to simulate and analyze the shape memory effect in smart composites. In this paper, a two dimensional axisymmetric model was proposed to analyze the smart composite of one fiber and matrix using the finite element method(FEM). The finite element analysis was carried out in two renditions of the room temperature(293K) and a higher temperature (363K). The results we.e compared with the experimental results to confirm the validity of the analysis. In addition, the acoustic emission(AE) technique was used to study the microscopic damage behavior and the effect of pre-strains on TiNi/A16061 shape memory alloy composite.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2014.02a
• /
• pp.141.2-141.2
• /
• 2014

크라이오 펌프는 반도체 임플란타 공정, OLED 분야, 신소재 개발, 표면분석 및 처리, 의료분야, 입자가속기, 핵융합 등 다양한 진공분야에 응용되는 고진공용 극저온펌프이다. 특히 향후 디스플레이 분야에서 OLED가 시장을 주도할 것으로 예상되는 가운데, 점점 대형화 되어가는 OLED 장비에 가장 적합한 고진공 펌프로써 크라이오 펌프가 주목을 받고 있다. OLED 디스플레이 제조공정 중에서도 화소형성 공정을 위한 챔버는 특별히 진동특성에 민감하다. 유기물 증착공정을 진행하기 위해서 글라스 전단에 쉐도우 마스크를 설치하는데, 글라스의 크기가 증가하면서 초래된 처짐문제 그리고 장비의 진동특성과 글라스와 마스크 사이의 간섭문제 등이 제품의 수율에 큰 영향을 미치면서 향수 시급히 해결해야 할 필수 과제로 주목 받고 있다. 그러나 대부분의 상용 크리이오 펌프는 G-M형식의 냉동기를 장착하기 때문에 그 원리 상 제조사에 관계없이 일반적으로 큰 진동특성을 가진다. 이에 GVT에서는 OLED 공정에 적합한 보다 정숙하고 진동특성이 개선된 550 mm구경의 크라이오 펌프 개발을 진행하였다. 그 결과 펌프의 성능은 동종 경쟁모델과 동등 이상의 수준을 유지하고 진동성분은 동종모델 대비 50%이상 개선된 펌프를 개발할 수 있었다. 그리고 시장에 보다 좋은 제품을 출시하기 위해서 현재 성능과 진동특성을 계속해서 튜닝 중에 있다. 진동개선은 크게 2가지 방향으로 진행되었는데, 첫째는 펌프 측면에서 진행한 것이고 둘째는 냉동기 측면에서 진행한 것이다. 후자는 현재 대외비로 개발을 진행 중에 있으며 본 발표에서는 전자에 관한 것으로 펌프 측면에서 진동특성을 개선한 부분이다. 결국 크라이오 펌프의 진동은 진동원인 냉동기에서 발생하는 것이므로 냉동기와 펌프를 구조적으로 고립시키는 방법을 사용하였다. 즉, 냉동기와 펌프 사이에 댐핑 시스템 플랜지를 장착하여 진동원인 냉동기로부터 진동성분이 펌프 측으로 전달되는 것을 차단한 것이 본 기술의 핵심이다. GVT에서는 당 기술로 국내특허등록을 완료하였다(특허-10-1289394_진동 저감을 위한 댐핑 플랜지 조립체 및 이를 갖는 크라이오 펌프).

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.4
• /
• pp.298-303
• /
• 2013

The robot has been widely applied to all parts for the improvement of the life quality of human beings. It is expected that the parts industry for robots is rapidly growing to one of the majority of the future robot industry. The electronic components of robots are connected to the central processing unit and an organic part of a robot system. The central processing unit must be controlled to operate more efficiently by configuring some control systems of the robot. In this paper, we propose a new platform model that centralizes several parts of a robot through the CAN based communication system and simplifies their connection structure.

• The Journal of Bigdata
• /
• v.5 no.1
• /
• pp.139-145
• /
• 2020

In the era of the 4th Industrial Revolution, the use of information based on AI APIs has a great influence on industry and life. In particular, the use of artificial intelligence data in the medical field will have many changes and effects on society. This paper is to study the necessary components to implement the "Cognitive Health Advisor model (CHA model)" and to implement the "CHA model using chatbot" based on this. It uses the open Cognitive chatbot to analyze and analyze the health status of users changing in their daily lives. The user's health information analyzed by the biometric sensor and chatbot consultation delivers the information to the user through the chatbot. And it implements a cognitive health advisor model that provides educational information for users' health promotion. Through this implementation, it intends to confirm the possibility of future use and to suggest research directions.

• The KIPS Transactions:PartD
• /
• v.15D no.1
• /
• pp.73-86
• /
• 2008

Because of its capability of automatic identification of objects, RFID(Radio Frequency Identification) technologies have extended their application areas to logistics, healthcare, and food management system. Load balancing is a basic technique for improving scalability of systems by moving loads of overloaded middlewares to under loaded ones. Adaptive load balancing has been known to be effective for distributed systems of a large load variance under unpredictable situations. There are needs for applying load balancing to RFID middlewares because they must efficiently treat vast numbers of RFID tags which are collected from multiple RFID readers. Because there can be a large amount of variance in loads of RFID middlewares which are difficult to predict, it is desirable to consider adaptive load balancing approach for RFID middlewares, which can dynamically choose a proper load balancing strategy depending on the current load. This paper proposes an adaptive load balancing approach for RFID middlewares and presents its design and implementation. First we decide a performance model by a experiment with a real RFID middleware. Then, a set of proper load balancing strategies for high/medium/low system loads is determined from a simulation of various load balancing strategies based on the performance model.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2003.11a
• /
• pp.61-64
• /
• 2003

무손실 이미지 압축은 (Lossless Image Compression)은 손실이미지 압축(Lossy Image Compression)에 비해, 압축률(compression ratio)은 떨어지지만, 반면 원이미지와 복원이미지가 완전히 일치하므로, 원인이미지의 품질을 그대로 유지학 수 있다. 따라서, 이미지의 품질(Quality)과 압축효율(compression ratio)은 서로 상반된 관계에 있으며, 지금도 좀 더 놀은 압축효과를 얻으려는 여러 무손실 압축 방법이 발표되고 있다. 무손실 이미지 압축은 이미지의 정확성과 정밀성이 요구되는, 의료영양분야에서 가장 널리 쓰이고 있으며, 그밖에, 원본이미지를 기본으로 다른 이미지프로세싱이 필요한 경우, 압축 복원을 반복적으로 수행할 필요가 있을 때, 기타 사진 예술분야, 원격 영상 등 정밀성이 요구되는 분양에서 쓰이고 있다. [7]. 무손실 이미지 압축의 가장 대표적인 CALIC[3]과 JPEG_LS[2]를 들 수 있다. CALIC은 비교적 높은 압축률을 나타내지만, 3-PASS의 과정을 거치는 복잡도가 지적되고 있다. 반면 JPEG-LS는 압축률은 CALIC에 미치지 못하지만 빠른 코딩/디코딩 속도를 보인다. 본 논문에서는 여거 가지의 예측 모드를 두어, 블록단위별로 주변 CONTEXT에 따라, 최상의 예측 모드를 판단하여, 이를 적용, 픽셀의 여러 값을 최소화하였다. 그 후 적응산술 부호기(Adaptive arithmetc coder)를 이용하여, 인코딩을 하였다. 이때 최대 에러값은 64를 넘지 않게 했으며, 또한 8*8블록별로 에러의 최대값을 측정하여 그 값을 $0\~7$까지의 8개의 대표값으로 양자화하는 방법을 통하여 그에 따라 8개의 보호화 심볼 모델중 알맞은 모델에 적용하였다. 이를 통해, 그 소화값의 확률 구간을 대폭 넓힘으로써, 에러 이미지가 가지고 있는 엔트로피에 좀 근접하게 코딩을 할 수 있게 되었다. 이 방법은 실제로 Arithmetic Coder를 이용하는 다른 압축 방법에 그리고 적용할 수 있다. 실험 결과 압축효율은 JPEG-LS보다 약 $5\%$의 압축 성능 개선이 있었으며, CALIC과는 대등한 압축률을 보이며, 부호화/복호화 속도는 CALIC보다 우수한 것으로 나타났다.