Earticle

Selecting the initial clustering centers randomly will cause an instability final result, and make it easy to fall into local minimum. To improve the shortcoming of the existing kmeans clustering center selection algorithm, an optimized k-means algorithm for selecting initial clustering centers is proposed in this paper. When the number of the sample’s maximum density parameter value is not unique, the distance between the plurality samples with maximum density parameter values is calculated and compared with the average distance of the whole sample sets. The k optimized initial clustering centers are selected by combing the algorithm proposed in this paper with maximum distance means. The algorithm proposed in this paper is tested through the UCI dataset. The experimental results show the superiority of the proposed algorithm.

In practice, the density function of a random variable X is always unknown. Even its smoothness parameter is unknown to us. In this paper, we will consider a density smoothness parameter estimation problem via wavelet theory. The smoothness parameter is defined in the sense of equivalent Besov norms. It is well-known that it is almost impossible to estimate this kind of parameter in general case. But it becomes possible when we add some conditions (to our proof, we can not remove them) to the density function. Besides, the density function contains impurities. It is covered by some additive noises, which is the key point we want to show in this paper.

In this paper, we consider the robust estimation for diffusion processes when the sample is observed discretely. As a robust estimator, we consider the minimizing density power divergence estimator (MDPDE) proposed by Basu et al. (1998). It is shown that the MDPDE for diffusion process is weakly consistent. A simulation study demonstrates the robustness of the MDPDE.

This paper presents an advanced estimation method for obtaining the probability density functions of a damage parameter for valve leakage detection in a reciprocating pump. The estimation method is based on a comparison of model data which are simulated by using a mathematical model, and experimental data which are measured on the inside and outside of the reciprocating pump in operation. The mathematical model, which is simplified and extended on the basis of previous models, describes not only the normal state of the pump, but also its abnormal state caused by valve leakage. The pressure in the cylinder is expressed as a function of the crankshaft angle, and an additional volume flow rate due to the valve leakage is quantified by a damage parameter in the mathematical model. The change in the cylinder pressure profiles due to the suction valve leakage is noticeable in the compression and expansion modes of the pump. The damage parameter value over 300 cycles is calculated in two ways, considering advance or delay in the opening and closing angles of the discharge valves. The probability density functions of the damage parameter are compared for diagnosis and prognosis on the basis of the probabilistic features of valve leakage.

We investigate the method to measure both the present value of the matter energy density contrast and the Hubble parameter directly from the measurement of the linear growth rate which is obtained from the large scale structure of the Universe. From this method, one can obtain the value of the nuisance cosmological parameter $\Omo$ (the present value of the matter energy density contrast) within 3% error if the growth rate measurement can be reached $z >3.5$. One can also investigate the evolution of the Hubble parameter without any prior on the value of $H_0$ (the current value of the Hubble parameter). Especially, estimating the Hubble parameter are insensitive to the errors on the measurement of the normalized growth rate $f \sigma_8$. However, this method requires the high $z$ ($z >3.5$) measurement of the growth rate in order to get the less than 5% errors on the measurements of $H(z)$ at $z \leq 1.2$ with the redshift bin $\Delta z = 0.2$. Thus, this will be suitable for the next generation large scale structure galaxy surveys like WFMOS and LSST.

A family of density-based divergence measures called `density power divergences' was suggested by Basu et al. (1998). This is a family of measures indexed by single tuning parameter alpha. The tuning parameter controls the trade-off between robustness and asymptotic efficiency of the estimators. This family includes the Kullback-Leibler divergence (Kullback, Leibler, 1951) and L_2-distance. With a suitably chosen tuning parameter, a minimum density power divergence estimator (MDPDE) can be obtained. For 0<alpha<1, the estimator is in between MLE (efficient-but-nonrobust) and minimum L_2-distance estimator L_2E (robust-but- inefficient). Hong, Kim (2001) suggest a data-driven selection of this tuning parameter. They study the efficiency and the robustness of the MDPDE with this data-drivenly selected tuning parameter via simulation study. In this paper, we will study the asymptotic properties of MDPDE with the automatically selected tuning parameter alpha. The asymptotic optimality of the MDPDE with the automatically selected alpha for uncontaminated data will be also proved.

In this paper we consider kernel type estimator of the spectral density at a point in the analysis of stationary time series data. The kernel entails choice of smoothing parameter called bandwidth. A data-based bandwidth choice is proposed, and it is obtained by solving an equation similar to Sheather(1986) which relates to the probability density estimation. A Monte Carlo study is done. It reveals that the spectral density estimates using the data-based bandwidths show comparatively good performance.

In this paper we consider the problem of parameter change based on the cusum test proposed by Lee et al. (2003). The cusum test statistic is constructed utilizing the estimator minimizing density-based divergence measures. It is shown that under regularity conditions, the test statistic has the limiting distribution of the sup of standard Brownian bridge. Simulation results demonstrate that the cusum test is robust when there arc outliers.

Optimal range of soil physical quality to enhance crop productivity or to improve environmental health is still in dispute for the upland soil. We hypothesized that the optimal range might be established by comparing soil physical parameters and their interactions inhibiting crop growth. The parameter identifying optimal range covered favorable conditions of aeration, permeability and root extension. To establish soil physical standard two experiments were conducted as follows; 1) investigating interactions of bulk density and aeration porosity in the laboratory test and 2) determining effects of soil compaction and deep & conventional tillage on physical properties and crop growth in the field test. The crops were Perilla frutescens, Zea mays L., Solanum tuberosum L. and Secale cereael. The saturated hydraulic conductivity, bulk density from the root depth, root growth and stem length were obtained. Higher bulk density showed lower aeration porosity and hydraulic conductivity, and finer texture had lower threshold bulk density at 10% aeration bulk density. Reduced crop growth by subsoil compaction was higher in silt clay loam compared to other textures. Loam soil had better physical improvement in deep rotary tillage plot. Combined with results of the present studies, the soil physical quality was possibly assessed by bulk density index. Threshold subsoil bulk density as the upper value were $1.55Mg\;m^{-3}$ in sandy loam, $1.50Mg\;m^{-3}$ in loam and $1.45Mg\;m^{-3}$ in silty clay loam for optimal soil physical quality in upland.

본 연구에서는 식재본수가 임분 수고생장 및 단면적생장모델의 모수 추정에 미치는 효과를 연구하였다. 삼나무임분의 생장모델에 포함되는 모수들을 추정하기 위하여 기본식으로 Korf 식을 사용하였으며, 식재밀도의 변화가 모수 추정치에 미치는 영향을 분석하기 위해 합리적 분석과정으로 판단되는 추가제곱합(extra sums of square) 원칙을 적용하였다. 적용성 검토결과 임분수고의 생장이 식재밀도에 유의한 영향을 받지 않는다는 기존의 입장과 임분 단면적의 생장곡선은 임분밀도에는 관계없이 동일한 접근선에 접근한다는 사실을 재확인할 수 있었다. 그러나 단면적 생장곡선의 형태는 이와는 달리 식재밀도에 의해 유의한 영향을 받는 것으로 나타났다. 이러한 결과를 토대로 본 연구에서는 삼나무 인공림에서 식재밀도에 따른 효과를 설명할 수 있는 임분단면적 생장모델을 제시하였다.

In this study, the effects of stand planting density on parameters of stand height and basal area growth models were investigated. We used the Korf equation as the base model in estimating the parameters of the growth models for cryptomeria plantation forest stands. Then, in order to investigate the effects of the change in plantation density on the parameter estimates, the "extra sums of square" principle, which provided a reasonable statistical procedure for a performance test, was used. The results of the test coincide with the understandings that stand height growth is not affected significantly by the planting density and the growth curves of stand basal area approaches a common asymptote regardless of the stand density for a given site. However, the shapes of the basal area growth curves were affected significantly by the planting density. Based on the results of the test, we developed a basal area growth model to account for the effects of initial planting density in cryptomeria plantation forest stands.

의료 진단 초음파영상에서 조영제의 전이시간과 확산패턴의 형태는 질환 및 병변을 분석하는 중요한 파라미터로 고려된다. 조영증강 초음파영상 분석과 관련한 기존의 대부분의 연구에서 대상 영역의 평균 명도 변화곡선을 기반으로 파라미터값을 추출한다. 그런데 이러한 명도 데이터는 조영제의 마이크로 버블 효과로 인하여 그 값이 왜곡될 수 있다. 이에 본 논문에서는 조영증강 초음파 진단 파라미터의 추출 과정에서 그 정확도를 개선하기 위하여 명도값의 변화뿐만 아니라, 조영제의 영향을 반영하는 픽셀에 대한 밀도 정보를 보완적으로 활용하는 방법을 제안한다. 제안된 기법은 간 질환 진단 과정에서 병변의 윤곽선 추출과 병변의 특성분석을 위하여 조영제의 확산시점과 속도를 보다 정확하게 판별할 수 있게 한다. 실제 임상 데이터를 사용한 실험결과를 통하여, 제안된 방법이 파라미터 영상 생성기법에서 개선된 결과를 생성할 수 있음을 보인다.

In medical ultrasonography, transit time and contrast enhancement patterns are considered as important parameters to analyze liver diseases. In many recent researches, time-intensity curves(TIC) have been used for calculating the transit time of the contrast agents. However, the intensity curve may include the variations which are caused by the micro-bubble effect of contrast agents. In this paper, we propose a complementary approach to diagnostic parameter extraction which utilizes a density information as well as the intensity data. The proposed technique improves the accuracy in extraction of the transit time and velocity of contrast agents for detection and characterization of focal liver lesions. Through the experiments using a set of clinical data, we show that the proposed methods can improve the reliability of the parametric image data.

In this paper, approximate means of estimating the flux and torque levels in an induction motor is discussed. There exists several method that is used directly by flux meter and flux sensing coils in the airgap. Most of these methods are sensitive to motor parameter value changes. Also, the harmonics in the motor voltage and current due to the nonsinusodial inverter waveform cause errors in the estimated torque. Finally, this result is applicated in arch type linear induction motor for study of noise and vibration.

본 연구에서는 고밀도 플라즈마 식각 시스템을 이용하여 contact hole 식각을 연구하였다. 실험은 공정 변수에 따른 식각 특성을 변화를 SEM 분석을 이용하여 보였으며 공정 압력 증가에 따른 contact hole 패턴의 하부 및 측면이 vertical 하지 못한 현상을 볼 수 있었으며 이는 과도한 라디컬 생성으로 인하여 식각 반응 부산물과 폴리머가 식각 패턴 밖으로 탈착되지 못하여 나타나는 것으로 생각되며 하부 bias 전력을 증가시킴으로써 식각 반응 부산물과 폴리머의 탈착을 도와 식각 프로파일 개선에 영향을 줌을 확인하였다. 또한, 본 장비의 낮은 전자온도 등의 특성으로 인하여 PR의 degradation 현상 등이 나타나지 않았다.

Several isotropic compression-expansion tests and a series of drained conventional traxial tests with various confining pressures for relative density of Beakma river sand 25%, 50%, 80% and 100% selecting Lade's Single Work-Hardening constitutive model. This examination materials use regression analysis as a basis, depending on the relative density of soil parameters change statement attributes. Yield fuction represent the soil parameters h and $\alpha$ is not affected by the changes in the relative density. $\eta_1$ could be replaced by fomula. And Numerical analysis results predicted very good and could confirm that.

Radical and ion densities in a CF4 plasma have been calculated as a function of input power density. 9as pressure and feed gas flow rate using simple 0 dimensional global model. Fluorine atom is found to be the most abundant neutral particle. Highly fragmented species such as CF and CF+ become dominant neutral and ionic radical at the high power condition. As the pressure increases. ion density increases but ionization rate decreases due to the decrease in electron temperature. The fractional dissociation of CF4 feed gas decreases with pressure after increasing at the low pressure range. Electron density and temperature are almost independent of flow rate within calculation conditions studied. The fractional dissociation of CF4 monotonically decreases with flow rate. which results in increase in CF3 and decrease in CF density. The calculation results show that the SiO2 etch selectivity improvement correlates to the increase in the relative density of fluorocarbon ion and neutral radicals which has high C/F ratio.

본 연구는 석탄회의 상대밀도를 40%, 60%, 80%, 95%로 각각 변화시켜 등방압축팽창시험과 구속압력을 달리한 배수삼축시험을 하였다. 그리고 이 시험자료를 이용하여 Lade의 단일항복면 구성모델의 토질매개변수의 변화 특성을 알아보았다. 그 결과 탄성성분을 나타내는 토질매개변수 Kur과 n은 상대밀도의 변화에 따른 영향이 미소하고 파괴규준, 경화함수, 소성포텐셜에 관련된 토질매개변수는 상대밀도의 증가에 따라 선형적인 증 감현상을 보이고 있다. 그리고 항복함수에 관련된 토질매개변수 h와 ${\alpha}$는 상대밀도에 따른 변화가 미세하고 파괴규준에 관련한 토질매개변수와 관련성이 매우 높아 파괴규준, ${\eta}_1$에 관한 식으로 대체할 수 있으며, 이 식을 이용하여 수치해석한 결과 양호하게 예측하고 있다.

This study was performed a series of the isotropic compression-expansion tests and the drained triaxial tests with various the relative densities 40%, 60%, 80% and 95% for bottom ash. Using the tests results the characteristic of the parameters of Lade's single hardening constitutive model were investigated. The soil parameters Kur and n representing elastic behavior are not much affected by the change of the relative density. The other parameters such as failure criterion(m, ${\eta}_1$), hardening function(c, p) and plastic potential(${\psi}_2$, ${\mu}$) are in a positive linear relationship with the relative density. Since the soil parameters h and ${\alpha}$ representing yield function do not change much to the change of relative density and also closely related to failure criterion, they can be replaced by failure criterion ${\eta}_1$. We also observed that predicted values from the Lade's single hardening constitutive model were well consistent with the observed data.