• 제목/요약/키워드: Exact Reliability Value

검색결과 27건 처리시간 0.033초

Application of T1 Map Information Based on Synthetic MRI for Dynamic Contrast-Enhanced Imaging: A Comparison Study with the Fixed Baseline T1 Value Method

  • Dong Jae Shin;Seung Hong Choi;Roh-Eul Yoo;Koung Mi Kang;Tae Jin Yun;Ji-Hoon Kim;Chul-Ho Sohn;Sang Won Jo;Eun Jung Lee
    • Korean Journal of Radiology
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    • 제22권8호
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    • pp.1352-1368
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    • 2021
  • Objective: For an accurate dynamic contrast-enhanced (DCE) MRI analysis, exact baseline T1 mapping is critical. The purpose of this study was to compare the pharmacokinetic parameters of DCE MRI using synthetic MRI with those using fixed baseline T1 values. Materials and Methods: This retrospective study included 102 patients who underwent both DCE and synthetic brain MRI. Two methods were set for the baseline T1: one using the fixed value and the other using the T1 map from synthetic MRI. The volume transfer constant (Ktrans), volume of the vascular plasma space (vp), and the volume of the extravascular extracellular space (ve) were compared between the two methods. The interclass correlation coefficients and the Bland-Altman method were used to assess the reliability. Results: In normal-appearing frontal white matter (WM), the mean values of Ktrans, ve, and vp were significantly higher in the fixed value method than in the T1 map method. In the normal-appearing occipital WM, the mean values of ve and vp were significantly higher in the fixed value method. In the putamen and head of the caudate nucleus, the mean values of Ktrans, ve, and vp were significantly lower in the fixed value method. In addition, the T1 map method showed comparable interobserver agreements with the fixed baseline T1 value method. Conclusion: The T1 map method using synthetic MRI may be useful for reflecting individual differences and reliable measurements in clinical applications of DCE MRI.

파일 방파제의 소파성능 해석 (Analysis on Wave Absorbing Performance of a Pile Breakwater)

  • 조일형;고혁준
    • 한국해양공학회지
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    • 제21권4호
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    • pp.1-7
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    • 2007
  • Based on the eigenfunction expansion method, the wave-absorbing performance of a square or circular pile breakwater was investigated. Flow separation resulting from sudden contraction and expansion is generated and is the main cause of significant energy loss. Therefore, evaluation of an exact energy loss coefficient is critical to enhancing the reliability of the mathematical model. To obtain the energy loss coefficient, 2-dimensional turbulent flow is analyzed using the FLUENT commercial code, and the energy loss coefficient can be obtained from the pressure difference between upstream and downstream. It was found that energy loss coefficient of circular pile is 20% that of a square pile. To validate the fitting equation for the energy loss coefficient, comparison between the analytical results and the experimental results (Kakuno and Liu, 1993) was made for square and circular piles with good agreement. The array of square piles also provides better wave-absorbing efficiency than the circular piles, and the optimal porosity value is near P=0.1.

연속 최적화 문제에 대한 수렴성이 개선된 순차적 주밍 유전자 알고리듬 (Convergence Enhanced Successive Zooming Genetic Algorithm far Continuous Optimization Problems)

  • 권영두;권순범;구남서;진승보
    • 대한기계학회논문집A
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    • 제26권2호
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    • pp.406-414
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    • 2002
  • A new approach, referred to as a successive zooming genetic algorithm (SZGA), is Proposed for identifying a global solution for continuous optimization problems. In order to improve the local fine-tuning capability of GA, we introduced a new method whereby the search space is zoomed around the design point with the best fitness per 100 generation. Furthermore, the reliability of the optimized solution is determined based on the theory of probability. To demonstrate the superiority of the proposed algorithm, a simple genetic algorithm, micro genetic algorithm, and the proposed algorithm were tested as regards for the minimization of a multiminima function as well as simple functions. The results confirmed that the proposed SZGA significantly improved the ability of the algorithm to identify a precise global minimum. As an example of structural optimization, the SZGA was applied to the optimal location of support points for weight minimization in the radial gate of a dam structure. The proposed algorithm identified a more exact optimum value than the standard genetic algorithms.

최적 조류 계산을 이용한 경제주체별 혼잡 및 손실비용 산정 (Congestion and Loss cost for economic subject using Optimal Power Flow)

  • 서철수;윤기갑;박상호;최영도;이재걸;손현일;김진오
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.430-431
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    • 2011
  • Recently the power system consists of the more complicated structure, due to increase of power demands. In this circumstance, the congestion and loss capacity in transmission line is also increased. Accordingly, the investment planning of transmission system is required to reduce the congestion and loss of the transmission line. In study of the planning of domestic and international transmission expansion, the reliability of transmission planning and minimizing Investment cost is focused. However, the study has not been performed systematically in economic aspects. Typically, the congestion and loss costs have been individually calculated. It is not consider the mutual relationship between the congestion cost and the loss cost. This paper proposes a method to compute concurrently the congestion and loss costs. This purpose is to calculate the more exact value for economic assessment of the power system operation.

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고해상도 영상자료 및 객체지향분류기법을 이용한 식생분류 정확도 향상 방안 연구 (Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique)

  • 홍창희;박종화
    • 환경영향평가
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    • 제18권6호
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    • pp.387-392
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    • 2009
  • As Our society's environmental awareness and concern the significant increases, the importance of the legal system for environmental conservation such as the Prior Environmental Review System, Environmental Impact Assessment is growing increasingly. but, still critical issues are present such as reliability. Though there could be various causes such as the system or procedures etc. Above all, basically the environmental data problem is the critical cause. Therefore, this study was trying to improve the environmental data accuracy using the high-resolution color aerial photography, LiDAR data and Object Oriented Classification method. And in this study, classification based on coverage percentage of a particular species was attempted through the multi-resolution segmentation and multi-level classification method. The classification result was verified by comparison with 11 points local survey data. All 11 points were classified correctly. And even though the exact coverage percentage of the particular species did not be measured, It was confirmed that the species was occupied similar portion. It is important that the environmental data which can be used for the conservation value assessment could be acquired.

사용자 응시지점 정보기반 시선 추적 시스템 신뢰도 측정 기법 (Reliability Measurement Technique of The Eye Tracking System Using Gaze Point Information)

  • 김병진;강석주
    • 디지털콘텐츠학회 논문지
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    • 제17권5호
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    • pp.367-373
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    • 2016
  • 본 논문에서는 사용자 시선 추적에 사용되는 시선 추적기의 정확도 향상 및 이를 분석하는 방법을 제안한다. 제안하는 방법에서는 시선 좌표와 색 정보를 추출하여 정확한 동공 정보를 기반으로 만들어진 사용자 profile 정보를 추출한 후 이를 기반으로 시선 추적기가 부착된 디스플레이에서 고르게 높은 정확도를 유지 하도록 한다. 이 때 사용자 profile 정보 추출 시 응시 시간에 따른 정확도의 변화 또한 추정하여 최적의 파라미터 값을 추출한다. 시선 추적의 정확도에 대한 실험 결과 짧은 시간으로 특정지점을 응시할 경우 시선 추적의 정확도가 낮게 측정되지만, 응시 시간을 2초 이상의 유지 시 80% 이상의 높은 시선 추적 정확도가 측정됨을 알 수 있었다.

화포 내부 압력의 자동 측정시스템 개발 (A development of the Automatic Measuring System for internal pressure of the artillery)

  • 이정호;김동희
    • 한국산학기술학회논문지
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    • 제22권2호
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    • pp.766-773
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    • 2021
  • 탄약 등 화약류는 운용 특성 상 반복 및 재현이 불가능한 1회성 품목이다. 시험 과정의 신뢰성, 시험 결과의 신뢰성 확보는 총포 및 탄약의 성능 평가에서 중요한 요소라고 할 수 있다. 사격 후 포강내 압력은 총포류 수락시험, 탄약류 성능 시험 등에서 중요한 값이므로 정확한 계측이 요구된다. 강내 압력은 Cu 계열의 동구게이지를 이용하여 측정한다. 변형된 동구의 압착량은 길이-압력 변환표 또는 변환식에 의해 압력으로 환산된다. 따라서 압착량의 정확한 계측은 압력 값의 정확한 추정과 직결된다. 현재 압력 측정은 작업자에 의해 수동으로 측정되고 있으며, 이는 측정 결과의 신뢰성 측면에서 오차(human error)를 항상 내포하고 있다. 이에 본 연구에서는 계측 오차 발생 요인을 분석하고, 오차를 줄이기 위해 동구 변형량 자동 측정 시스템을 개발하였다. 접촉식 프로브 센서 및 광학계를 이용하여 자동으로 동구 변형 정도를 측정할 수 있도록 하였으며, 동구의 안정적 거치를 위한 지그 또한 설계하였다. 측정 시스템의 운영 및 측정 결과의 분석을 위해 전용 SW 또한 개발하였다. 본 연구를 통해 개발된 자동 측정 시스템은 향후 탄약 저장신뢰성평가시험, 총포 탄약 수락시험 및 기술시험 등에 활용될 수 있을 것이다.

VRML을 이용한 3차원 Brain-endoscopy와 2차원 단면 영상 (3D Brain-Endoscopy Using VRML and 2D CT images)

  • 김동욱;안진영;이동혁;김남국;김종효;민병구
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1998년도 추계학술대회
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    • pp.285-286
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    • 1998
  • Virtual Brain-endoscopy is an effective method to detect lesion in brain. Brain is the most part of the human and is not easy part to operate so that reconstructing in 3D may be very helpful to doctors. In this paper, it is suggested that to increase the reliability, method of matching 3D object with the 2D CT slice. 3D Brain-endoscopy is reconstructed with 35 slices of 2D CT images. There is a plate in 3D brain-endoscopy so as to drag upward or downward to match the relevant 2D CT image. Relevant CT image guides the user to recognize the exact part he or she is investigating. VRML Script is used to make the change in images and PlaneSensor node is used to transmit the y coordinate value with the CT image. The result is test on the PC which has the following spec. 400MHz Clock-speed, 512MB ram, and FireGL 3000 3D accelerator is set up. The VRML file size is 3.83MB. There was no delay in controlling the 3D world and no collision in changing the CT images. This brain-endoscopy can be also put to practical use on medical education through internet.

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통계적 추정을 가르치기 위한 수학적 지식(MKT)의 분석 (An analysis of Mathematical Knowledge for Teaching of statistical estimation)

  • 최민정;이종학;김원경
    • 한국수학교육학회지시리즈A:수학교육
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    • 제55권3호
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    • pp.317-334
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    • 2016
  • Knowledge and data interpretation on statistical estimation was important to have statistical literacy that current curriculum was said not to satisfy. The author investigated mathematics teachers' MKT on statistical estimation concerning interpretation of confidence interval by using questionnaire and interview. SMK of teachers' confidence was limited to the area of textbooks to be difficult to interpret data of real life context. Most of teachers wrongly understood SMK of interpretation of confidence interval to have influence upon PCK making correction of students' wrong concept. SMK of samples and sampling distribution that were basic concept of reliability and confidence interval cognized representation of samples rather exactly not to understand importance and value of not only variability but also size of the sample exactly, and not to cognize appropriateness and needs of each stage from sampling to confidence interval estimation to have great difficulty at proper teaching of statistical estimation. PCK that had teaching method had problem of a lot of misconception. MKT of sample and sampling distribution that interpreted confidence interval had almost no relation with teachers' experience to require opportunity for development of teacher professionalism. Therefore, teachers were asked to estimate statistic and to get confidence interval and to understand concept of the sample and think much of not only relationship of each concept but also validity of estimated values, and to have knowledge enough to interpret data of real life contexts, and to think and discuss students' concepts. So, textbooks should introduce actual concepts at real life context to make use of exact orthography and to let teachers be reeducated for development of professionalism.

저속 센서리스 제어의 역기전력 추정 성능 향상을 위한 모터 파라미터 추정과 전압 오차의 개선 (Identification of Motor Parameters and Improvement of Voltage Error for Improvement of Back-emf Estimation in Sensorless Control of Low Speed Operation)

  • 김경훈;윤철;조내수;장민호;권우현
    • 전기학회논문지
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    • 제67권5호
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    • pp.635-643
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    • 2018
  • This paper propose a method to identify the motor parameters and improve input voltage error which affect the low speed position error of the back-emf(back electromotive force) based sensorless algorithm and to secure the operation reliability and stability even in the case where the load fluctuation is severe and the start and low speed operation frequently occurs. In the model-based observer used in this paper, stator resistance, inductance, and input voltage are particularly influential factors on low speed performance. Stator resistance can cause resistance value fluctuation which may occur in mass production process, and fluctuation of resistance value due to heat generated during operation. The inductance is influenced by the fluctuation due to the manufacturing dispersion and at a low speed where the change of the current is severe. In order to find stator resistance and inductance which have different initial values and fluctuate during operation and have a large influence on sensorless performance at low speed, they are commonly measured through 2-point calculation method by 2-step align current injection. The effect of voltage error is minimized by offsetting the voltage error. In addition, when the command voltage is used, it is difficult to estimate the back-emf due to the relatively large distortion voltage due to the dead time and the voltage drop of the power device. In this paper, we propose a simple circuit and method to detect the voltage by measuring the PWM(Pulse Width Modulation) pulse width and compensate the voltage drop of the power device with the table, thereby minimizing the position error due to the exact estimation of the back-emf at low speed. The suitability of the proposed algorithm is verified through experiment.