• Investigative Magnetic Resonance Imaging
• /
• 제24권3호
• /
• pp.123-131
• /
• 2020

Purpose: Joint label fusion (JLF) is a popular multi-atlas-based segmentation algorithm, which compensates for dependent errors that may exist between atlases. However, in order to get good segmentation results, it is very important to set the several free parameters of the algorithm to optimal values. In this study, we first investigate the feasibility of a JLF algorithm for prostate segmentation in MR images, and then suggest the optimal set of parameters for the automatic prostate segmentation by validating the results of each parameter combination. Materials and Methods: We acquired T2-weighted prostate MR images from 20 normal heathy volunteers and did a series of cross validations for every set of parameters of JLF. In each case, the atlases were rigidly registered for the target image. Then, we calculated their voting weights for label fusion from each combination of JLF's parameters (r_pxy, r_pz, r_sxy, r_sz, β). We evaluated the segmentation performances by five validation metrics of the Prostate MR Image Segmentation challenge. Results: As the number of voxels participating in the voting weight calculation and the number of referenced atlases is increased, the overall segmentation performance is gradually improved. The JLF algorithm showed the best results for dice similarity coefficient, 0.8495 ± 0.0392; relative volume difference, 15.2353 ± 17.2350; absolute relative volume difference, 18.8710 ± 13.1546; 95% Hausdorff distance, 7.2366 ± 1.8502; and average boundary distance, 2.2107 ± 0.4972; in parameters of r_pxy = 10, r_pz = 1, r_sxy = 3, r_sz = 1, and β = 3. Conclusion: The evaluated results showed the feasibility of the JLF algorithm for automatic segmentation of prostate MRI. This empirical analysis of segmentation results by label fusion allows for the appropriate setting of parameters.

• 디지털콘텐츠학회 논문지
• /
• 제16권6호
• /
• pp.951-959
• /
• 2015

장면 텍스트 추출은 현대 스마트 시대에서 쏟아져 나오는 다양한 영상 기반 응용에 중요한 정보를 제공하기 때문에 중요하다. 기본적인 MSER(Maximally Stable Extremal Regions) 추출 후에 캐니 연산자를 이용하여 경계를 강화시키는 Edge-Enhanced MSER은 텍스트 추출 측면에서 뛰어난 성능을 보인다. 하지만 캐니 연산자의 임계값 설정에 따라 Edge-Enhanced MSER의 결과영상이 다르게 나타나므로 임계값 설정을 계산하는 방법이 필요하다. 본 논문에서는 캐니 연산자의 임계값을 설정하는 방법 중 히스토그램의 중앙값을 이용하여 경계를 추출하고 이를 Edge-Enhanced MSER에 적용한 AEMSER(Adaptive Edge-enhanced MSER)을 제안한다. 이 방법은 명확한 경계에 대해서만 영역을 추출하기 때문에 기존의 방법보다 더 좋은 결과영상을 얻을 수 있다.

• 마이크로전자및패키징학회지
• /
• 제6권4호
• /
• pp.23-33
• /
• 1999

유한요소법을 이용한 IGBT 3상 풀브릿지 모듈의 열.응력 해석을 수행하였다. 패키지 재료에 의한 영향을 살피고자 AIN과 $A1_2O_3$절연기판을 사용한 경우를 비교하였으며, 적층구조의 규격을 변화시켜 열해석 및 열응력 해석결과를 비교하였다. 열해석 경계조건 설정에 따른 차이를 비교하기 위하여 등가열전달계수 경계조건(FHTCC)과 일정온도 경계조건(CTC)으로 나누어 해석하였다. 절연기판 면적의 증가는 열저항 감소에 거의 기여하지 못하였으나 열응력 감소에는 상당한 효과를 보였는데, 기판면적이 3배 넓어지면 열저항 감소분은 $A1_2O_3$ 절연기판 모듈에서 8.9%정도, AIN 절연기판 모듈에선 1.5% 정도 감소하는데 그쳤으나 열응력은 최고 60%의 감소를 보였다. 또한 솔더의 두께가 증가할수록 열저항은 증가하였으나, 열응력은 감소 또는 일정하게 유지함을 확인하였다. 각 모듈에서 최대응력값은 모두 절연기판과 접촉된 상, 하부 Cu pad에서 발생하였으며 모듈 패키지 가장자리 부분보다는 중앙부의 응력값이 높았다.

• 대한기계학회논문집B
• /
• 제38권11호
• /
• pp.889-897
• /
• 2014

본 논문은 고분자 전해질 연료전지 해석 방법과 유전자 알고리즘을 결합하여 연료전지 유로 최적화를 이끌어 내는 방법을 연구한다. 종래의 해석 방법은 연료전지를 하나씩 설계하여 해석 결과를 비교하였다. 하지만, 경계조건과 물성치를 설정하는 부분, 메시 작성 작업 등 많은 시간이 소요되며, 정확성 또한 떨어져서 비효율적이다. 본 논문에서 제안하는 유전자 알고리즘을 사용하면 자동으로 채널 구조에 변화를 줄 수 있어서 다양한 크기의 연료지전 해석 결과를 얻을 수 있다. 이는 최적화 과정을 통해 최대 성능의 결과를 알 수 있게 되며, 해석 결과 값에 따라 최적의 채널 구조를 찾을 수 있다.

• 지질학회지
• /
• 제54권6호
• /
• pp.605-614
• /
• 2018

지질학적 현상을 연구하는 물리적 실험의 경우, 반복성 있는 현상 재현이 가능할 때 실험의 신뢰성을 증대시킬 수 있다. 본 연구에서는 인장력에 의해 발생한 정단층 구조를 대상으로 모형 토조를 이용한 벤치마크 실험을 수행하였다. 이를 위해 모형 실험의 상사성을 검토하고, 벤치마크 실험에서와 같은 방법으로 실험 재료와 인장조건, 그리고 경계조건을 설정하여 실험을 수행하였다. 또한 대형 원심모형실험시설을 이용하여 동일한 크기의 모형에서 원심중력가속도와 인장 속도를 변화시켜 인장 거동 시의 물리량에 대한 상사비를 고려하였다. 1 g 상태에서의 벤치마크 실험과 10 g 상태에서의 원심중력장에서 일정한 속도의 인장 응력을 구현하고, 지표면의 형상을 신뢰성 있게 계측하였다. 이를 통해 지각의 변형 실험 연구를 수행 시, 대형 원심모형실험의 신뢰성과 적용성을 평가하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권10호
• /
• pp.3708-3728
• /
• 2021

Indian herbal plants are used in agriculture and in the food, cosmetics, and pharmaceutical industries. Laboratory-based tests are routinely used to identify and classify similar herb species by analyzing their internal cell structures. In this paper, we have applied computer vision techniques to do the same. The original leaf image was preprocessed using the Chan-Vese active contour segmentation algorithm to efface the background from the image by setting the contraction bias as (v) -1 and smoothing factor (µ) as 0.5, and bringing the initial contour close to the image boundary. Thereafter the segmented grayscale image was fed to a leaky capacitance fired neuron model (LCFN), which differentiates between similar herbs by combining different groups of pixels in the leaf image. The LFCN's decay constant (f), decay constant (g) and threshold (h) parameters were empirically assigned as 0.7, 0.6 and h=18 to generate the 1D feature vector. The LCFN time sequence identified the internal leaf structure at different iterations. Our proposed framework was tested against newly collected herbal species of natural images, geometrically variant images in terms of size, orientation and position. The 1D sequence and shape features of aloe, betel, Indian borage, bittergourd, grape, insulin herb, guava, mango, nilavembu, nithiyakalyani, sweet basil and pomegranate were fed into the 5-fold Bayesian regularization neural network (BRNN), K-nearest neighbors (KNN), support vector machine (SVM), and ensemble classifier to obtain the highest classification accuracy of 91.19%.

• 건축역사연구
• /
• 제30권4호
• /
• pp.67-78
• /
• 2021

This is a study on the structural changes of the tumulus and causes setting up a Sabangseok at the front of the tumulus at the royal tomb in the JoSeon dynasty, during the 17th~18th centuries. The Sabangseok was first used in the tumulus of Mongnueng(穆陵) in 1630. It is a multipurpose stone for boundary, foundation of the tumulus and blocking the sliding down of the tumulus. It was set up, when constructing a Yeongneung(寧陵) in 1673. But the vast spill of tumulus soil made it improve structure of the Sabangseok. Consequently, when the Yeongneung was re-constructed, the structure of the tumulus was fundamentally improved. The soil layer on the lime of the subterranean chamber became eliminated. Also the lime of the tumulus and the lime of the subterranean chamber became a united structure. The Sabangseok was still used until 1757 on account of precedents, although it would become unnecessary after structural improvement of the tumulus in 1673. In 1757, Yeongjo(The 21th monarch of the Joseon Dynasty) commanded repeal on the use of the Sabangseok, when constructing the Hongneung(tomb of Queen Jeongseong). The decision and discussions about abolition on the use of the Sabangseok was recorded in Gukjosangryebopyeon.

• 한국의상디자인학회지
• /
• 제23권4호
• /
• pp.133-148
• /
• 2021

Due to the COVID-19 pandemic, many people started working from home while avoiding unnecessary going-outs. As the 'stay-at-home life' becomes standard daily life, the pajamas market is absorbing young consumers, especially targeting Generation MZ, by using one-mile fashion that breaks down the boundary with everyday clothes. Also, owing to the demand for environmentally-friendly textiles, based on the strengthened environmental regulations, the development of textiles considering the environment is expanding. Thus, the purpose of this study is to develop fashion pajamas using environmentally-friendly textiles targeting Generation MZ. After theoretically considering the current status of recycled PETs and the pajama market by referring to preceding research, relevant books, and Internet data, this study performed the process setting up the design concepts, developing textiles, developing textile designs, and developing pajamas designs. As a result, this study wove two kinds of mixed textiles using recycled PETs and silk with the concept of 'Going out pajamas', and designed a total four patterns to be applied to those textiles, then digitally printed them. Using the developed textiles, this study produced a total four kinds of pajamas that were practical, trendy, and also good to be used as clothes for going-out. The consumers who are exhausted from the limited environment of the COVID-19 pandemic, are requesting comfortable and trendy in & out door fashion. For this reason, the results of this study are significant in the aspect of suggesting the new-normal fashion trend for pajamas designs.

• 한국염색가공학회지
• /
• 제34권2호
• /
• pp.117-126
• /
• 2022

In this study, thermoplastic composites were manufactured using ABS(acrylonitrile butadiene styrene), PC(polycarbonate), and POE(polyolefin elastomer), which are thermoplastic plastics. Twin screw extruder and injection molding were used to manufacture thermoplastic composites. When the ABS/PC/POE thermoplastic composite material was manufactured, the POE mass fraction was set to 1 to 5 wt.%, and the thermal and mechanical properties according to the POE mass fraction were analyzed. Based on the physical properties of ABS/PC/POE, a 3D model in the form of an e-bike frame was created. After setting the boundary conditions, when an external load is applied, geometry simulation was performed to predict product performance. The ABS/PC/POE thermoplastic composite material exhibited the best physical properties when the mass fraction of POE was 3 wt.%. In the simulation results for the physical properties of the 3D model in the form of an e-bike frame, the best physical properties were shown when the mass fraction of POE was 2 ~ 3 wt.%. As a result, the manufacturing conditions for ABS/PC/POE thermoplastic composite materials were set, and research was conducted to reduce product development costs and development time.

• Journal of Forest and Environmental Science
• /
• 제38권4호
• /
• pp.239-248
• /
• 2022

Forestry crane work in a forest harvester or forwarder is regarded as one of most hard work requiring a very high level of operation skill. The operator must handle two or more multi-axes joysticks simultaneously to control the multiple manipulators for maneuvering the crane-tip to its intended location. This study has been carried out to develop a crane-tip controller which can intuitively maneuver the crane-tip, resulting in improving the productivity by decreasing the technical difficulty of control as well as reducing the workload. The crane-tip controller consists of a single 2-axis joystick and a control algorithm run on microcontroller. Lab-scale forestry crane was constructed using electric cylinders. The crane-tip control algorithm has the crane-tip follow the waypoints generated on the given path considering the dead band region using LBO (Lateral Boundary Offset). A speed control gain to change the speed of relevant cylinders relatively is applied as well. By the P (Proportional) control within the control interval of 20 msec, the average error of crane-tip control on the predefined straight path turned out to be 14.5 mm in all directions. When the joystick is used the waypoints are generated in real time by the direction signal from the joystick. In this case, the average error of path control was 12.4 mm for straight up, straight forward and straight down movements successively at a certain constant speed setting. In the slant movement of crane-tip by controlling two axes of joystick simultaneously, the movement of crane-tip was controlled in the average error of 15.9 mm when the crane-tip is moved up and down while moving toward forward direction. It concluded that the crane-tip control was possible using the control algorithm developed in this study.