• 제목/요약/키워드: POD analysis

검색결과 215건 처리시간 0.026초

원전 배관 결함의 크기측정성능에 대한 초음파 검사시스템의 확률론적 신뢰도 평가 (Probabilistic Reliability Analysis of Ultrasonic Inspection System about Sizing Performance of Defects in Piping on Nuclear Power Plant)

  • 김현묵;정지홍;지용우;장경영;박익근;박윤원
    • 한국신뢰성학회:학술대회논문집
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    • 한국신뢰성학회 2002년도 정기학술대회
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    • pp.217-224
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    • 2002
  • The performance demonstration round robin test was conducted to quantify the capability of ultrasonic inspection for in-service and to address some aspects of reliability for nondestructive evaluation. The fifteen inspection teams who employed procedures that met or exceeded ASME Sec. XI code requirements detected the piping of nuclear power plant with various cracks to evaluate the capability of detection. With data from PD-RR test, the performance of ultrasonic nondestructive inspection could be assessed using probability of length and depth sizing of cracks.

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적합직교모드를 이용한 AFM 마이크로캔틸레버의 진동 해석에 대하여 (On the Vibration Analysis of AFM Microcantilevers Using Proper Orthogonal Modes)

  • 이수일;황철호
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 추계학술대회논문집
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    • pp.756-759
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    • 2005
  • Dynamic force microscopy utilizes the dynamic response of a resonating probe tip as it approaches and retracts from a sample to measure the topography and material properties of a nanostructure. We present recent ideas based on proper orthogonal decomposition (POD) and detailed experiments that yield new perspectives and insight into AFM. A dynamic cantilever model with Lennrad-Jones interaction Potential which includes attractive and repulsive van der Waals demonstrates the resonable tapping mode response in time and frequency.

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Preliminary Analysis on the Effects of Tropospheric Delay Models on Geosynchronous and Inclined Geosynchronous Orbit Satellites

  • Lee, Jinah;Park, Chandeok;Joo, Jung-Min
    • Journal of Positioning, Navigation, and Timing
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    • 제10권4호
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    • pp.371-377
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    • 2021
  • This research proposes the best combination of tropospheric delay models for Korean Positioning System (KPS). The overall results are based on real observation data of Japanese Quasi-Zenith satellite system (QZSS), whose constellation is similar to the proposed constellation of KPS. The tropospheric delay models are constructed as the combinations of three types of zenith path delay (ZPD) models and four types of mapping functions (MFs). Two sets of International GNSS Service (IGS) stations with the same receiver are considered. Comparison of observation residuals reveals that the ZPD models are more influential to the measurement model rather than MFs, and that the best tropospheric delay model is the combination of GPT3 with 5 degrees grid and Vienna Mapping Function 1 (VMF1). While the bias of observation residual depends on the receivers, it still remains to be further analyzed.

표적의 길이가 긴 환자의 용적회전변조 방사선치료 시 6DoF Couch의 유용성 평가 (Evaluation on the Usefulness of 6DoF Couch in V-MAT on Patients with Long length of Target)

  • 최영세;박효국;김세영;김주호;이상규;윤종원;조정희
    • 대한방사선치료학회지
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    • 제29권2호
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    • pp.53-64
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    • 2017
  • 목 적: 표적의 길이가 긴(length) 환자의 용적회전변조 방사선치료(V-MAT) 시 회전방향 오차의 크기에 따른 선량차이 경향을 $HexaPOD^{TM}$ evo RT system(6DoF couch)을 통해 알아보고 그 유용성을 평가하고자 하며, 이에 따른 회전오차 보정의 필요성을 제안하고자 한다. 대상 및 방법: 본원에서 치료를 받은 Esophagus cancer와 SCL을 포함한 Breast cancer 환자 중 HexaPOD 6DoF(Six-Degree of Freedom) couch를 사용한 10명을 대상으로 하였다. 6DoF couch를 이용하여 Rx(pitch), Ry(roll), Rz(yaw) 방향의 회전오차의 적용여부에 따른 선량차이를 알아보기 위하여 x, y, z축에 대한 자세오차를 확인하고, 자세 회전오차 값을 6DoF couch에 부여 임의의 오차를 발생시켜 변형된 선량계측 품질보증(Delivery Quality Assurance, DQA)을 시행, 점 선량과 감마값을 비교 분석하였다. 추가적으로 3cm의 직경에 5, 10, 15, 20 cm의 길이를 가진 각각의 표적의 치료계획에 회전오차의 크기를 $1^{\circ}$ 간격으로 적용한 후, 표적의 길이와 회전오차의 종류 및 크기에 따른 감마통과율의 변화양상을 확인했다. 결 과: 자세 회전오차가 적용된 경우의 점 선량과 감마통과율의 평균오차는 각각 Rx 방향에서 $2.50{\pm}1.11%$, $84.1{\pm}7.39%$, Ry 방향에서 $2.36{\pm}1.16%$, $81.0{\pm}8.49%$, Rz 방향에서 $2.35{\pm}1.10%$, $84.4{\pm}6.99%$를 나타냈다. 또한, 표적의 길이와 회전오차의 종류 및 크기에 따른 감마통과율 분석 결과 Ry 방향을 제외한 Rx와 Rz 방향에서 회전오차가 커질수록 감마통과율은 전반적으로 감소하는 경향을 보였으며, 특히 10 cm의 표적, Rz 방향으로 $2.5^{\circ}$ 회전오차가 부여된 경우에서 가장 낮은 감마통과율인 74.2 %를 나타냈다. 결 론: 표적의 길이가 긴 치료부위의 용적회전변조 방사선치료 시 회전오차의 보정은 필요하며, 6DoF couch의 사용은 환자자세의 재현성과 치료의 질적 효율을 높일 것으로 사료된다.

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매크로 기능을 이용한 선박 격자의 자동 생성 기법 (AUTOMATIC MESH GENERATION AROUND SHIP HULL USING THE MACRO)

  • 이주현;이신형
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2009년 추계학술대회논문집
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    • pp.71-76
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    • 2009
  • The research to predict the resistance performance of the ship using the CFD analysis is increasing. For the CFD numerical analysis the computational mesh, which is proper to computational model, has to be made before the analysis is begun. In the parametric study, even though the deformation of each case is not very sharp, the whole computational mesh should be regenerated according to the conventional way. Hence, lots of effort is needed to repeated mesh generation work. To solve these problems, the automatic mesh generation method using the macro function of commercial CAD program and mesh generation program is introduced in this study. First, in the CAD program, by using the macro function and putting the deformation rate of bow and stern in lengthwise, the repeated modeling work is performed automatically. Next, the generated geometries are read by the mesh generation program and the proper mesh for the geometry is created automatically also using the macro function. The hybrid mesh which has unstructured grid near the bow and stern and structured grid in the remaining part of domain is used. The verification of the developed method is done by applying the method to predict the resistance performance of the podded propulsion cruise ship of the Daewoo Shipbuilding & Marine Engineering (DSME) in the cases of different length of bow and stern and pod set in different position. The author believes that the introduced method can help to make the database to optimize the resistance performance of the ship in various cases can be constructed without difficulty.

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계층 연관성 전파를 이용한 DNN PM2.5 예보모델의 입력인자 분석 및 성능개선 (Analysis of Input Factors and Performance Improvement of DNN PM2.5 Forecasting Model Using Layer-wise Relevance Propagation)

  • 유숙현
    • 한국멀티미디어학회논문지
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    • 제24권10호
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    • pp.1414-1424
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    • 2021
  • In this paper, the importance of input factors of a DNN (Deep Neural Network) PM2.5 forecasting model using LRP(Layer-wise Relevance Propagation) is analyzed, and forecasting performance is improved. Input factor importance analysis is performed by dividing the learning data into time and PM2.5 concentration. As a result, in the low concentration patterns, the importance of weather factors such as temperature, atmospheric pressure, and solar radiation is high, and in the high concentration patterns, the importance of air quality factors such as PM2.5, CO, and NO2 is high. As a result of analysis by time, the importance of the measurement factors is high in the case of the forecast for the day, and the importance of the forecast factors increases in the forecast for tomorrow and the day after tomorrow. In addition, date, temperature, humidity, and atmospheric pressure all show high importance regardless of time and concentration. Based on the importance of these factors, the LRP_DNN prediction model is developed. As a result, the ACC(accuracy) and POD(probability of detection) are improved by up to 5%, and the FAR(false alarm rate) is improved by up to 9% compared to the previous DNN model.

Mode analysis and low-order dynamic modelling of the three-dimensional turbulent flow filed around a building

  • Lei Zhou;Bingchao Zhang;K.T. Tseb
    • Wind and Structures
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    • 제38권5호
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    • pp.381-398
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    • 2024
  • This study presents a mode analysis of 3D turbulent velocity data around a square-section building model to identify the dynamic system for Kármán-type vortex shedding. Proper orthogonal decomposition (POD) was first performed to extract the significant 3D modes. Magnitude-squared coherence was then applied to detect the phase consistency between the modes, which were roughly divided into three groups. Group 1 (modes 1-4) depicted the main vortex shedding on the wake of the building, with mode 2 being controlled by the inflow fluctuation. Group 2 exhibited complex wake vortexes and single-sided vortex phenomena, while Group 3 exhibited more complicated phenomena, including flow separation. Subsequently, a third-order polynomial regression model was used to fit the dynamics system of modes 1, 3, and 4, which revealed average trend of the state trajectory. The two limit cycles of the regression model depicted the two rotation directions of Kármán-type vortex. Furthermore, two characteristic periods were identified from the trajectory generated by the regression model, which indicates fast and slow motions of the wake vortex. This study provides valuable insights into 3D mode morphology and dynamics of Kármán-type vortex shedding that helps to improve design and efficiency of structures in turbulent flow.

Modal parameter identification with compressed samples by sparse decomposition using the free vibration function as dictionary

  • Kang, Jie;Duan, Zhongdong
    • Smart Structures and Systems
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    • 제25권2호
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    • pp.123-133
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    • 2020
  • Compressive sensing (CS) is a newly developed data acquisition and processing technique that takes advantage of the sparse structure in signals. Normally signals in their primitive space or format are reconstructed from their compressed measurements for further treatments, such as modal analysis for vibration data. This approach causes problems such as leakage, loss of fidelity, etc., and the computation of reconstruction itself is costly as well. Therefore, it is appealing to directly work on the compressed data without prior reconstruction of the original data. In this paper, a direct approach for modal analysis of damped systems is proposed by decomposing the compressed measurements with an appropriate dictionary. The damped free vibration function is adopted to form atoms in the dictionary for the following sparse decomposition. Compared with the normally used Fourier bases, the damped free vibration function spans a space with both the frequency and damping as the control variables. In order to efficiently search the enormous two-dimension dictionary with frequency and damping as variables, a two-step strategy is implemented combined with the Orthogonal Matching Pursuit (OMP) to determine the optimal atom in the dictionary, which greatly reduces the computation of the sparse decomposition. The performance of the proposed method is demonstrated by a numerical and an experimental example, and advantages of the method are revealed by comparison with another such kind method using POD technique.

Preparation of Reproducible and Responsive Scar Model and Histology Analysis

  • Kim, Sang-Cheol;ChoLee, Ae-Ri
    • Journal of Pharmaceutical Investigation
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    • 제40권1호
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    • pp.45-49
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    • 2010
  • Unlike human, with some exceptions, animals do not heal with excessive scar. The lack of suitable animal model has hindered the development of effective scar therapy. We previously reported that partial thickness rabbit ear wound model resembles human wound heal process. This study was designed to prepare a hypertropic scar wound model which can be employed for testing anti-scar therapy. Four wounds were created down to the bare cartilage on the anterior side of each rabbit ear using 8-mm dermal biopsy punch and histology analysis at post operation day (POD) 5, 28 and 48 were performed. As the outcome of scar formation is largely determined by the early inflammatory response to the wounding and the degree and the duration of occlusion, cephalodin(50 mg/kg) was injected daily and medical occlusive dressings were applied. Five micro wound and scar sections were stained with hematoxylin and eosin for quantification of epidermal regeneration and scar hypertrophy. Sections were also stained using Masson's trichrome and Sirius red to evaluate collagen organization and rete ridge formation. Wound closure process was assessed to 7wks post wounding. Complete removal of the epidermis, dermis and perichondrial layer caused delayed epithelialization, which results in hypertropic scarring. The inability of the wounds to contract and the delay in epithelialization in rabbit ear was likely due to cartilage and it created scar elevation. The results suggest that full thickness surgical punch wound model in rabbit ear could be employed as a reliable and reproducible scar wound model for testing anti-scar therapy.

A Study on the Color of Natural Solvent for the Red Color Reproduction of Safflower

  • Lee, Mi Young;Wi, Koang Chul
    • 보존과학회지
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    • 제37권1호
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    • pp.13-24
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    • 2021
  • Safflower, a natural dye representing red, is the dye that materials and dyeing method are recorded in the literature, including materials and dyeing. Although the safflower is the same, the ash used as a mordant is recorded differently in each literature, which greatly affects the aesthetic perspective in realizing the traditional safflower red. Therefore, the optimal conditions for realizing the traditional safflower red were sought. The experiment was conducted by pH investigation, dyeing and color analysis by dyeing solution water, concentration, and temperature by ash, and the unique color of red was confirmed. As a result of the test, the pH point of time when the uniq ue color was expressed was 11.53 as goosefoot ash (natural bedrock water), which was 1:100 for concentration and 70℃ for temperature, which was easier to extract red pigment than other ash, indicating that it is suitable for safflower dyeing. The analysis of the ash showed that K and Si play an important role in dyeing, especially Si, which is an element that inhibits carthamon. The color of red was similar to that of KS Standard vivid purplish red in the ash of the goosefoot, and the other ash was deep purplish pink. In the light of findings, it was possible to quantify the dyeing method through traditional materials and find the standard color of red color, and it is judged to be a basic data for studying the unique color of natural materials.