• 제목/요약/키워드: Relative Accuracy

검색결과 1,323건 처리시간 0.028초

Comparative Study of Contrast-Enhanced Ultrasound Qualitative and Quantitative Analysis for Identifying Benign and Malignant Breast Tumor Lumps

  • Liu, Jian;Gao, Yun-Hua;Li, Ding-Dong;Gao, Yan-Chun;Hou, Ling-Mi;Xie, Ting
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권19호
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    • pp.8149-8153
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    • 2014
  • Background: To compare the value of contrast-enhanced ultrasound (CEUS) qualitative and quantitative analysis in the identification of breast tumor lumps. Materials and Methods: Qualitative and quantitative indicators of CEUS for 73 cases of breast tumor lumps were retrospectively analyzed by univariate and multivariate approaches. Logistic regression was applied and ROC curves were drawn for evaluation and comparison. Results: The CEUS qualitative indicator-generated regression equation contained three indicators, namely enhanced homogeneity, diameter line expansion and peak intensity grading, which demonstrated prediction accuracy for benign and malignant breast tumor lumps of 91.8%; the quantitative indicator-generated regression equation only contained one indicator, namely the relative peak intensity, and its prediction accuracy was 61.5%. The corresponding areas under the ROC curve for qualitative and quantitative analyses were 91.3% and 75.7%, respectively, which exhibited a statistically significant difference by the Z test (P<0.05). Conclusions: The ability of CEUS qualitative analysis to identify breast tumor lumps is better than with quantitative analysis.

음악 장르 분류를 위한 부밴드 분해와 특징 차수 축소에 관한 연구 (An investigation of subband decomposition and feature-dimension reduction for musical genre classification)

  • 서진수;김정현;박지현
    • 한국음향학회지
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    • 제36권2호
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    • pp.144-150
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    • 2017
  • 음악 장르는 음악 검색 및 분류 등의 정보 처리 시스템 구현에 있어서 필수적인 요소이다. 일반적으로 장르 분류를 위한 스펙트럼 특징은 음악의 화음 및 강약 구조를 표현하기 위해 부밴드로 분해하여 구해진다. 본 논문은 음악 장르 분류 성능 개선을 위한 특징 추출을 위한 부밴드 분해 방법에 관해 연구하였다. 또한 부밴드 음악 특징의 차수를 줄일 수 있는 방법에 대해서도 연구하였다. 널리 사용되고 있는 장르 데이터셋들에서 실험을 수행하여 널리 사용되고 있는 옥타브 스케일보다 세분화된 부밴드 분해가 장르 분류 성능을 향상시킬 수 있으며, 특징 차수 축소를 결합하여 분류기의 계산량도 줄일 수 있음을 보였다.

Experimental study on human arm motions in positioning

  • Shibata, S.;Ohba, K.;Inooka, H.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.212-217
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    • 1993
  • In this paper, characteristics of the motions of a human arm are investigated experimentally. When the conditions of the target point are restricted, human adjusts its trajectory and velocity pattern of the arm to fit the conditions skillfully. The purpose of this work is to examine the characteristics of the trajectory, velocity pattern, and the size of the duration in the following cases. First, we examine the case of point-to-point motion. The results are consistent with the minimum jerk theory. However, individual differences in the length of the duration can be observed in the experiment. Second, we examine the case which requires accuracy of positioning at the target point. It is found that the velocity pattern differs from the bell shaped pattern explained by the minimum jerk theory, and has its peak in the first half of the duration. When higher accuracy of the positioning is required, learning effects can be observed. Finally, to examine the case which requires constraint of the arm posture at the target point, we conduct experiments of a human trying to grasp a cup. It is considered that this motion consists of two steps : one is the positioning motion of the person in order to start the grasping motion, the other is the grasping motion of the human's hand approaching toward the cup and grasping it. In addition, two representative velocity patterns are observed : one is the similar velocity pattern explained in the above experiment, the other is the velocity pattern which has its relative maximum in the latter half of the duration.

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주파수 응답함수를 이용한 고정밀 장비의 진동허용규제치 결정기법에 관한 연구 (A Study on the Vibration Criteria Decision for High Technology Facilities using FRF)

  • 이홍기;김두훈;김사수
    • 소음진동
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    • 제6권3호
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    • pp.363-373
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    • 1996
  • In the case of a precision equipment, it requires a vibration free environment to provide its proper function. Especially, lithography and inspection devices, which have sub-nanometer class high accuracy and resolution, have come to necessity for producing more improved giga class semiconductor wafers. This high technology equipments require very strict environmental vibration standard in promotion to the accuracy of the manufacturing, inspecting devices. The vibration criteria are usually obtained either by the real vibration exciting test on the equipment or by the analytical calculation. The former is accurate but requires a great deal of time and efforts while the latter lacks reliability. This paper proposes a new method to solve this problem at a time. The permissible vibration level to a precision equipment can be easily obtained by analyzing the process of Frequency Response Function(FRF). This paper also demonstrates its effectiveness by applying the proposed method to finding the permissible vibration criteria of a Computer Hard Disk Drive.

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Robust Facial Expression Recognition Based on Local Directional Pattern

  • Jabid, Taskeed;Kabir, Md. Hasanul;Chae, Oksam
    • ETRI Journal
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    • 제32권5호
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    • pp.784-794
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    • 2010
  • Automatic facial expression recognition has many potential applications in different areas of human computer interaction. However, they are not yet fully realized due to the lack of an effective facial feature descriptor. In this paper, we present a new appearance-based feature descriptor, the local directional pattern (LDP), to represent facial geometry and analyze its performance in expression recognition. An LDP feature is obtained by computing the edge response values in 8 directions at each pixel and encoding them into an 8 bit binary number using the relative strength of these edge responses. The LDP descriptor, a distribution of LDP codes within an image or image patch, is used to describe each expression image. The effectiveness of dimensionality reduction techniques, such as principal component analysis and AdaBoost, is also analyzed in terms of computational cost saving and classification accuracy. Two well-known machine learning methods, template matching and support vector machine, are used for classification using the Cohn-Kanade and Japanese female facial expression databases. Better classification accuracy shows the superiority of LDP descriptor against other appearance-based feature descriptors.

CDGPS를 위한 LSAST 미지정수 추정기법 개선에 관한 연구 (A study on improving LSAST ambiguity resolution for CDGPS)

  • 이기훈
    • 한국항공우주학회지
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    • 제34권5호
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    • pp.74-80
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    • 2006
  • 1980년대부터 민간에 개방된 GPS는 C/A코드의 도달시간을 측정하여 위치를 계산하고, 반송파의 도플러 주파수를 측정하여 속도를 계산한다. 위치정확도를 향상시키기 위하여 공통오차를 제거하는 DGPS 기법과 반송파 위상을 이용하여 수cm 내의 정확도를 가질 수 있는 CDGPS 기법이 1990년대부터 개발되기 시작하였다. 본 논문에서는 CDGPS를 위해 LSAST 미지정수 추정기법을 개선하여 계산효율 및 신뢰도를 높이고, 단일 주파수 GPS 수신기를 이용하여 움직이는 항체의 상대위치를 수cm 내의 정확도로 측정한 실험결과를 INS의 위치와 비교하여 제시한다. 이러한 결과는 추후 정밀관성항법장치, 무인자율주행, 측지 및 정밀지도제작 등에 유용하게 쓰일 수 있다.

Real-Time Orbit Determination for Future Korean Regional Navigation Satellite System

  • Shin, Kihae;Oh, Hyungjik;Park, Sang-Young;Park, Chandeok
    • Journal of Astronomy and Space Sciences
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    • 제33권1호
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    • pp.37-44
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    • 2016
  • This paper presents an algorithm for Real-Time Orbit Determination (RTOD) of navigation satellites for the Korean Regional Navigation Satellite System (KRNSS), when the navigation satellites generate ephemeris by themselves in abnormal situations. The KRNSS is an independent Regional Navigation Satellite System (RNSS) that is currently within the basic/preliminary research phase, which is intended to provide a satellite navigation service for South Korea and neighboring countries. Its candidate constellation comprises three geostationary and four elliptical inclined geosynchronous orbit satellites. Relative distance ranging between the KRNSS satellites based on Inter-Satellite Ranging (ISR) is adopted as the observation model. The extended Kalman filter is used for real-time estimation, which includes fine-tuning the covariance, measurement noise, and process noise matrices. Simulation results show that ISR precision of 0.3-0.7 m, ranging capability of 65,000 km, and observation intervals of less than 20 min are required to accomplish RTOD accuracy to within 1 m. Furthermore, close correlation is confirmed between the dilution of precision and RTOD accuracy.

수치변화탐지의 새로운 접근 - 기하거리분석법 -

  • 정성학
    • 한국지형공간정보학회:학술대회논문집
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    • 한국지형공간정보학회 1993년도 학술발표회 개요집
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    • pp.141-145
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    • 1993
  • 수치변화탐지에 있어서 종래의 단일 밴드 분석법에 대한 대안으로, 선정된 조합에 의한 복합 밴드의 정보를 활용하는 기하거리분석법이라는 새로운 앨고리듬을 개발하였으며, 분석된 두 앨고리듬 중 기하거리분석법이 변화탐지에 보다 좋은 결과를 나타냈다. 기하거리분석법은 식생 형 변화에 대한 복합 밴드의 정보를 활용할 수가 있고, 데이타의 양을 줄일 수 있는 장점이 있다. 하지만, 이 방법에 대해서는 여러 환경에서의 보다 세밀한 정량적 분석이 요구되어진다. 각 변화영상에 대한 최적영역수준은 여러가지 정확도지수를 분석하여 결정하였으며, (변화)구분도에 대한 표준정확도로는 카파일도계수를 적용하였다.

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TIME SERIES PREDICTION USING INCREMENTAL REGRESSION

  • Kim, Sung-Hyun;Lee, Yong-Mi;Jin, Long;Chai, Duck-Jin;Ryu, Keun-Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.635-638
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    • 2006
  • Regression of conventional prediction techniques in data mining uses the model which is generated from the training step. This model is applied to new input data without any change. If this model is applied directly to time series, the rate of prediction accuracy will be decreased. This paper proposes an incremental regression for time series prediction like typhoon track prediction. This technique considers the characteristic of time series which may be changed over time. It is composed of two steps. The first step executes a fractional process for applying input data to the regression model. The second step updates the model by using its information as new data. Additionally, the model is maintained by only recent data in a queue. This approach has the following two advantages. It maintains the minimum information of the model by using a matrix, so space complexity is reduced. Moreover, it prevents the increment of error rate by updating the model over time. Accuracy rate of the proposed method is measured by RME(Relative Mean Error) and RMSE(Root Mean Square Error). The results of typhoon track prediction experiment are performed by the proposed technique IMLR(Incremental Multiple Linear Regression) is more efficient than those of MLR(Multiple Linear Regression) and SVR(Support Vector Regression).

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Discontinuous finite-element quadrature sets based on icosahedron for the discrete ordinates method

  • Dai, Ni;Zhang, Bin;Chen, Yixue
    • Nuclear Engineering and Technology
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    • 제52권6호
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    • pp.1137-1147
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    • 2020
  • The discrete ordinates method (SN) is one of the major shielding calculation method, which is suitable for solving deep-penetration transport problems. Our objective is to explore the available quadrature sets and to improve the accuracy in shielding problems involving strong anisotropy. The linear discontinuous finite-element (LDFE) quadrature sets based on the icosahedron (in short, ICLDFE quadrature sets) are developed by defining projected points on the surfaces of the icosahedron. Weights are then introduced in the integration of the discontinuous finite-element basis functions in the relevant angular regions. The multivariate secant method is used to optimize the discrete directions and their corresponding weights. The numerical integration of polynomials in the direction cosines and the Kobayashi benchmark are used to analyze and verify the properties of these new quadrature sets. Results show that the ICLDFE quadrature sets can exactly integrate the zero-order and first-order of the spherical harmonic functions over one-twentieth of the spherical surface. As for the Kobayashi benchmark problem, the maximum relative error between the fifth-order ICLDFE quadrature sets and references is only -0.55%. The ICLDFE quadrature sets provide better integration precision of the spherical harmonic functions in local discrete angle domains and higher accuracy for simple shielding problems.