• ETRI Journal
• /
• 제28권2호
• /
• pp.162-174
• /
• 2006

Several photogrammetric and geographic information system applications such as surface matching, object recognition, city modeling, environmental monitoring, and change detection deal with multiple versions of the same surface that have been derived from different sources and/or at different times. Surface registration is a necessary procedure prior to the manipulation of these 3D datasets. This need is also applicable in the field of medical imaging, where imaging modalities such as magnetic resonance imaging (MRI) can provide temporal 3D imagery for monitoring disease progression. This paper will present a general automated surface registration procedure that can establish correspondences between conjugate surface elements. Experimental results using light detection and ranging (LIDAR) and MRI data will verify the feasibility, robustness, and accuracy of this approach.

• Advances in pediatric surgery
• /
• 제13권2호
• /
• pp.112-118
• /
• 2007

Ingested foreign bodies are common occurrences in the pediatric population. From October 2002 to April 2006, eight patients (6 male, mean age: $30.9{\pm}14.4$ months, range: 7~45 months) who had ingested metallic foreign bodies, such as bar magnets, coin-type magnets, screws, metal beads, and disk batteries, were selected for foreign body removal using a magnetic device under floroscopic control. A 1-cm-long cylindrical magnet (6 mm in diameter) was placed at the end of a 150-cm-long plastic tube from an IV set. The magnet was passed through the mouth into the stomach. Under fluoroscopic control, the magnet was maneuvered so that it attached to the metallic foreign bodies. The forgeign body was then easily removed by retracting the magnet with the metallic object attached. This procedure was successful in six patients of 8 patients. This procedure is a minimally-invasive and may avoid the use of anesthesics, endoscopy or surgery.

• 유공압시스템학회논문집
• /
• 제6권4호
• /
• pp.24-32
• /
• 2009

For a design of on/off solenoid actuator for valve actuating, designer must have the experimental knowledge as well as general electromagnetic formulas to design object. It is possible for theoretical knowledge to do the out-line design, but it is impossible to optimal design without experimental knowledge which only can be achieved through many repeated experiments. In addition, in present on/off type solenoid actuator field, the smaller, lightening, lower consumption power, high response time are effected as the most important design factor. So, experimental knowledge is more needed for optimal design of solenoid actuator. In this study, we derived the governing equations for optimal design of on/off solenoid actuator for valve actuating and developed a design program composed electromagnetic theories and experimental parameter values for inexperienced designers. And we proved the propriety of this program by experiments.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2003년도 하계학술대회 논문집 B
• /
• pp.843-845
• /
• 2003

In this paper, the design of the outer core which is one part of the linear motor is investigated by using the topology optimization and FEM. The object functions are to reduce the outer core area of the linear motor with the maximum magnetic energy in airgap. For topology optimization, the finite element model is made through the result of ANSYS, and the sensitivity calculation is done using ANSTOP(developed general software for topology optimization of electromagnetics). In ANSTOP, the optimization routine is implemented using SLP in DOT and the ANSYS is used as a function solver.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2009년도 춘계학술대회 논문집 특별세미나,특별/일반세션
• /
• pp.403-406
• /
• 2009

Recently, electricity is essential for human lives. Modem people take cultural benefits due to the development of the electric power system and the spread of the high tech-electric appliances, the cell phones, and etc. However, the electromagnetic field problems become prominent figures owing to the fault of the communication devices around the power line and the biological effect, and etc. In this paper, we introduce the simple electromagnetic field calculation based on the transmission line matrix method, prior to the analysis about the influence of electromagnetic field. Simulation object is the inner part of the trailer car in the high speed train. Unlike the existing paper we submitted, we analyze not only the magnetic field but the electric field in the inner part of the trailer car which makes up the high speed train.

• 한국산학기술학회논문지
• /
• 제12권2호
• /
• pp.865-871
• /
• 2011

현재 선박의 자동운항을 위해서는 항체의 위치정보 및 방위정보가 반드시 필요하다. 그 중에서도 방위정보는 자동조타 시스템에 필수적인 요소로 측정 장비로는 자이로컴퍼스, 마그네틱 컴퍼스 그리고 GPS 컴퍼스가 있다. 자이로컴퍼스는 주로 GMDSS(Global Maritime Distress & Safety System)의 대형선박에 사용되고 있으며 정밀도와 신뢰도가 우수하지만 부피가 크고 고가라는 단점이 있다. 그리고 마그네틱 컴퍼스는 비교적 정확하고 저렴하지만 선박의 철제 구조물 등과 같은 자성물체에 의한 영향을 많이 받는다는 단점을 가지고 있다. GPS컴퍼스의 경우는 위치정보의 변화에 따라 진북을 가리키지만 항체가 정지해있거나 오차범위 내에서 운동을 할 경우 정확한 방향을 얻을 수 없다. 본 논문에서는 이러한 방위각 센서의 상호보완을 위해서 least-square curve fitting 방법을 이용하여 GPS 컴퍼스의 성능을 향상시키고 이를 마그네틱 컴퍼스와 공분산 오차의 크기에 따른 가중치를 적용하여 방위각의 정밀도를 향상 시키는 알고리즘을 제안하였다. 실험을 통하여 제안된 알고리즘의 특성을 분석하고 성능을 검증하였으며 실험 결과를 통해 제안된 알고리즘의 적용 가능성을 보여주었다.

• 한국산학기술학회논문지
• /
• 제13권11호
• /
• pp.5299-5304
• /
• 2012

인체는 공기, 지방, 근육, 뼈, 혈관과 같이 서로 다른 조직으로 구성되어 있어 각 조직간 자화율 차이로 인해 자장의 불균일이 항상 발생하여 신호가 감소한다. 이에 본 연구에서는 서로 다른 조직으로 구성된 인체의 신호감소를 해결하기 위하여 인체의 조직밀도와 유사한 실리콘을 이용하여 공기와 맞닿은 굴곡진 부분에 보상함으로써 자기공명영상의 신호를 높이고자 하였다. 특별한 증상이 없는 성인 8명으로 대상으로 하였으며, 인체 중 굴곡이 많고 구조가 복잡해 신호감소가 많이 발생하는 발을 설정하였다. 영상은 종족궁의 가운데부터 5개의 말절골을 포함하여 얻었으며, 중족골 및 족지골을 연장한 선에 평행하게 30절편을 얻었다. 측정은 실리콘의 적용 전 후 뼈와 연부조직의 SNR을 비교하였으며, 대응표본 T검정을 이용하여 통계분석 하였다. 연구결과 뼈와 연부조직의 T1, T2 강조영상 모두 실리콘 적용 후가 적용 전에 비해 SNR이 월등히 높게 나왔으며 유의한 양의 상관관계로 증가하였다. 결론적으로 본 연구는 체적소에 영향을 주지 않으면서 코일내 인체의 부피를 늘린 획기적인 개선 방법으로, 본질적 문제인 체적소의 부피나 균일성 저하를 해결하여 SNR을 높일 수 있었다.

• Journal of Astronomy and Space Sciences
• /
• 제23권2호
• /
• pp.143-152
• /
• 2006

밝은 장주기 변광성들을 효율적으로 관측하기 위하여 충북대학교 교내에 자동관측시스템을 구축하였다. 이 시스템의 구성을 위하여 기존의 Meade사 LX200 40cm 망원경의 구동부를 개선하고, ObsTool II라는 관측프로그램에 의하여 망원경, CCD 카메라, 돔의 제어가 하나의 프로그램으로 가능하도록 구성하였다. ObsTool II는 COM(Common Object Module)을 이용하여 개발한 프로그램으로서 시스템을 구성하는 망원경이나 CCD 카메라의 기종이 바뀌어도 큰 수정 없이 시스템을 재구성할 수 있다. 또한, 이 시스템은 광전측광관측처럼 변광성, 비교성, 검토성 등을 오가는 기능을 가지고 있어 CCD의 시야에 적당한 비교성이 함께 들어오지 않더라도 관측이 가능하다. 이 논문에서 새롭게 구성한 자동관측시스템의 안정성을 검토하기 위하여 W UMa형 변광성 V523 Cas와 자기 격변변광성 TT Ari를 관측하여 그 결과를 제시하면서 본 논문에서 개발한 시스템들의 활용가능성을 토의하였다.

• 보존과학회지
• /
• 제38권4호
• /
• pp.301-313
• /
• 2022

We made a Korean white porcelain or Joseon Baekja jar and based on the raw materials used and reproductions of each stage, we aimed to compare and analyze the physicochemical changes of the raw materials such as clay at each manufacturing stage, as well as identify the characteristics and correlations. Although the basic main components of clay and glaze material are similar, their texture becomes denser in the process of bisque firing pottery (Chobeol-pyeon) and glaze firing pottery (Jaebeol-pyeon), and we confirmed that in addition to the tendency of increasing vitrification, low-temperature minerals such as mica and illite gradually disappeared, while high-temperature minerals such as cristobalite were newly created. This phenomenon has also been verified by the rapid decrease in absorption rate while the change in specific gravity was small. In addition, the color was greatly affected by the firing atmosphere, and the yellow-red chromaticity of the raw materials was higher during bisque firing but showed a rapidly decreasing characteristic during glaze firing. The value of magnetic susceptibility, which is related to iron (Fe) component, showed a tendency to decrease in glaze firing pottery. CT images were confirmed as a method that can indirectly estimate the change in the material properties of the object step-by-step for the entire object. In conclusion, the study of manufacturing stages of reproduction can provide basic data for scientific research on the estimation of porcelain and pottery making technology and changes in raw materials.

• International Journal of Computer Science & Network Security
• /
• 제24권5호
• /
• pp.53-63
• /
• 2024

Alzheimer's disease is a brain disorder that worsens over time and affects millions of people around the world. It leads to a gradual deterioration in memory, thinking ability, and behavioral and social skills until the person loses his ability to adapt to society. Technological progress in medical imaging and the use of artificial intelligence, has provided the possibility of detecting Alzheimer's disease through medical images such as magnetic resonance imaging (MRI). However, Deep learning algorithms, especially convolutional neural networks (CNNs), have shown great success in analyzing medical images for disease diagnosis and classification. Where CNNs can recognize patterns and objects from images, which makes them ideally suited for this study. In this paper, we proposed to compare the performances of Alzheimer's disease detection by using two deep learning methods: You Only Look Once (YOLO), a CNN-enabled object recognition algorithm, and Visual Geometry Group (VGG16) which is a type of deep convolutional neural network primarily used for image classification. We will compare our results using these modern models Instead of using CNN only like the previous research. In addition, the results showed different levels of accuracy for the various versions of YOLO and the VGG16 model. YOLO v5 reached 56.4% accuracy at 50 epochs and 61.5% accuracy at 100 epochs. YOLO v8, which is for classification, reached 84% accuracy overall at 100 epochs. YOLO v9, which is for object detection overall accuracy of 84.6%. The VGG16 model reached 99% accuracy for training after 25 epochs but only 78% accuracy for testing. Hence, the best model overall is YOLO v9, with the highest overall accuracy of 86.1%.