• Title/Summary/Keyword: partial function

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A Study of the Crown Construction using Shell-Crown Made by Duplicating the abutment Tooth of the P.D. (Shell Crown을 이용하여 기존 국부의치 지대치를 복제한 금관제작에 관한 연구)

  • Lim, Byung-Chun
    • Journal of Technologic Dentistry
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    • v.7 no.1
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    • pp.27-31
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    • 1985
  • From time to time, it is necessary to reconstruct the crown for the abutment tooth of the partial denture. It has been difficult and lack of accuracy in it's construction. I studied and discovered a new method of reconstructing the crown, that is rather easier and more accurate than being used, in the following points. 1) It is good in function and use of the partial denture ready made. 2) It is good to protect the periodental tissue and avoid the uneasy feeling. 3) It is so easy and accurate in the procedure of reconstruction. 4) And patient's charge would be less, because of not reconstructing the partial denture.

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Some Crystalline Properties and Growth Condition of BP(100)Epitaxially Grown on Si(100) Substrates (Si(100) 기판위에 에피텍시된 BP(100)의 성장조건 및 결정성)

  • Kim, Chul Ju;Koh, Youn Kyu;Ahn, Chul
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.6
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    • pp.754-757
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    • 1986
  • Boron monophosphide(100) was eitaxially grown on Si(100) substrate by thermal reaction of B2H6 and PH3 in hydrogen ambient. In an LPCVD system, the growth condition was studied as a function of gas mixture composition and temperature. For the growth temperature of 950\ulcorner in the constant flow rate (partial pressure) of B2H6, n-BP with c(2x2) surface structure was obtained in the PH3 partial pressure of 300-500 cc/min. On the other hand, for the growth temperature of 1080\ulcorner, p-BP with surface structure was observed for the PH3 partial pressure of 400-500cc/min.

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Robust seismic waveform inversion using backpropagation algorithm (Hybrid L1/L2 를 이용한 주파수 영역 탄성파 파형역산)

  • Chung, Woo-Keen;Ha, Tae-Young;Shin, Chang-Soo
    • 한국지구물리탐사학회:학술대회논문집
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    • 2007.06a
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    • pp.124-129
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    • 2007
  • For seismic imaging and inversion, the inverted image depends on how we define the objective function. ${\ell}^1$-norm is more robust than ${\ell}^2$-norm. However, it is difficult to apply the Newton-type algorithm directly because the partial derivative for ${\ell^1$-norm has a singularity. In our paper, to overcome the difficulties of singularities, Huber function given by hybrid ${\ell}^1/{\ell}^2$-norm is used. We tested the robustness of our new object function with several noisy data set. Numerical results show that the new objective function is more robust to band limited spiky noise than the conventional object function.

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Characteristics of AlN Dielectric Layer for Metal PCB as a Function of Nitrogen Partial Pressure Using RF-Magnetron Sputtering Method (RF-Magnetron Sputtering 방법을 이용해 질소분압비에 따른 금속 PCB용 AlN 절연막의 특성)

  • Kim, Hwa-Min;Park, Jeong-Sik;Kim, Dong-Young;Bae, Kang;Sohn, Sun-Young
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.23 no.10
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    • pp.759-762
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    • 2010
  • In this investigation, the effects of $N_2/(Ar+N_2)$ gas partial pressure on the structural, electrical, and thermal properties of AlN dielectric layers prepared on aluminum substrates using RF-magnetron sputtering method were analyzed. Among the films, the AlN dielectric film deposited under $N_2/(Ar+N_2)$ gas partial pressure of 75% exhibit the highest AlN (002) preferred orientation, which was grain size of about 15.32 nm and very dense structure. We suggest the possibilities of it's application as a dielectric layer for metal PCB because the AlN films prepared at optimized gas partial pressure can improving the insulating property, the thermal conductivity, and thermal diffusivity of the films.

A new classification method using penalized partial least squares (벌점 부분최소자승법을 이용한 분류방법)

  • Kim, Yun-Dae;Jun, Chi-Hyuck;Lee, Hye-Seon
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.5
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    • pp.931-940
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    • 2011
  • Classification is to generate a rule of classifying objects into several categories based on the learning sample. Good classification model should classify new objects with low misclassification error. Many types of classification methods have been developed including logistic regression, discriminant analysis and tree. This paper presents a new classification method using penalized partial least squares. Penalized partial least squares can make the model more robust and remedy multicollinearity problem. This paper compares the proposed method with logistic regression and PCA based discriminant analysis by some real and artificial data. It is concluded that the new method has better power as compared with other methods.

PESQ-Based Selection of Efficient Partial Encryption Set for Compressed Speech

  • Yang, Hae-Yong;Lee, Kyung-Hoon;Lee, Sang-Han;Ko, Sung-Jea
    • ETRI Journal
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    • v.31 no.4
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    • pp.408-418
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    • 2009
  • Adopting an encryption function in voice over Wi-Fi service incurs problems such as additional power consumption and degradation of communication quality. To overcome these problems, a partial encryption (PE) algorithm for compressed speech was recently introduced. However, from the security point of view, the partial encryption sets (PESs) of the conventional PE algorithm still have much room for improvement. This paper proposes a new selection method for finding a smaller PES while maintaining the security level of encrypted speech. The proposed PES selection method employs the perceptual evaluation of the speech quality (PESQ) algorithm to objectively measure the distortion of speech. The proposed method is applied to the ITU-T G.729 speech codec, and content protection capability is verified by a range of tests and a reconstruction attack. The experimental results show that encrypting only 20% of the compressed bitstream is sufficient to effectively hide the entire content of speech.

Partial Knee Joint Defect Reconstruction with Vascularized Proximal Fibular Articular Surface (슬관절 부분결손에 대한 혈관부착 비골근위 관절면을 이용한 재건술)

  • Chung, Duke-Whan
    • Archives of Reconstructive Microsurgery
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    • v.7 no.2
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    • pp.157-164
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    • 1998
  • It has been very difficult to managing partial joint defect in any etiologies, especially in children. Unicondylar defect of the tibial condyle in children reconstructed with proximal fibular head with articular cartilage from 1995. Two kinds of transfering methods were used, peroneal artery pedicled ipsilateral fibula head transposition to defective lateral tibial condyle defect that revealed poor prognosis with gradual absorption of transposed fibular epiphysis. Free vascularized fibular head transplantation with microvascular anastomosis underwent in the case with medial condyle defect of tibia which revealed very satisfactory results. Author can conclude with these clinical experiences: 1. Tranposition without epiphyseal vesssels intact is not sufficient in fibular head osteochondral transplantation in reconstruction of tibial condyle defect. That means peroneal arterial vascular pedicle is not enough for transplanted proximal epiphysis maintains its function on articular surface and growth activity in children. 2. The anterior recurrent tibial artery is one of the most important and easy to utilizing vessel in proximal fibular epiphyseal transplantation. 3. Free vascularized fibular head transplantation is hopeful method in reconstruction of the knee joint in the patient with partial joint defect which has no effective solution in conventional methods.

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Complexity Control Method of Chaos Dynamics in Recurrent Neural Networks

  • Sakai, Masao;Honma, Noriyasu;Abe, Kenichi
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.494-494
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    • 2000
  • This paper demonstrates that the largest Lyapunov exponent $\lambda$ of recurrent neural networks can be controlled by a gradient method. The method minimizes a square error $e_{\lambda}=(\lambda-\lambda^{obj})^2$ where $\lambda^{obj}$ is desired exponent. The $\lambda$ can be given as a function of the network parameters P such as connection weights and thresholds of neurons' activation. Then changes of parameters to minimize the error are given by calculating their gradients $\partial\lambda/\partialP$. In a previous paper, we derived a control method of $\lambda$via a direct calculation of $\partial\lambda/\partialP$ with a gradient collection through time. This method however is computationally expensive for large-scale recurrent networks and the control is unstable for recurrent networks with chaotic dynamics. Our new method proposed in this paper is based on a stochastic relation between the complexity $\lambda$ and parameters P of the networks configuration under a restriction. Then the new method allows us to approximate the gradient collection in a fashion without time evolution. This approximation requires only $O(N^2)$ run time while our previous method needs $O(N^{5}T)$ run time for networks with N neurons and T evolution. Simulation results show that the new method can realize a "stable" control for larege-scale networks with chaotic dynamics.

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Partial AUC using the sensitivity and specificity lines (민감도와 특이도 직선을 이용한 부분 AUC)

  • Hong, Chong Sun;Jang, Dong Hwan
    • The Korean Journal of Applied Statistics
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    • v.33 no.5
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    • pp.541-553
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    • 2020
  • The receiver operating characteristic (ROC) curve is expressed as both sensitivity and specificity; in addition, some optimal thresholds using the ROC curve are also represented with both sensitivity and specificity. In addition to the sensitivity and specificity, the expected usefulness function is considered as disease prevalence and usefulness. In particular, partial the area under the ROC curve (AUC) on a certain range should be compared when the AUCs of the crossing ROC curves have similar values. In this study, partial AUCs representing high sensitivity and specificity are proposed by using sensitivity and specificity lines, respectively. Assume various distribution functions with ROC curves that are crossing and AUCs that have the same value. We propose a method to improve the discriminant power of the classification models while comparing the partial AUCs obtained using sensitivity and specificity lines.

Defect Structure and Electrical Conductivities of $SrCe_{0.95}Yb_{0.05}O_3$ ($SrCe_{0.95}Yb_{0.05}O_3$의 결함엄개와 전기전도 특성)

  • 최정식;이도권;유한일
    • Journal of the Korean Ceramic Society
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    • v.37 no.3
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    • pp.271-279
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    • 2000
  • 5 m/o Yb-doped SrCeO3 proton conductor was prepared by a solid state reaction method and its total electriccal conductivity measured as a function of both oxygen partial pressure and water vapor partial pressure in the temperature range of 500~100$0^{\circ}C$. From the total conductivity have been deconvoluted the partial conductivities of oxide ions, protons, and holes, respectively, on the basis of the defect model proposed. The equilibrium constant of hydrogen-dissolution reaction, proton concentration, and mobilities of oxygen vacancies and protons have subsequently been evaluated. It is verified that SrCe1-xYbxO3 is a mixed conductor of holes, protons and oxide ions and the proton conduction prevails as temperature decreases and water vapor pressure increases. The heat of water dissolution takes a representative value of $\Delta$HoH=-(140$\pm$20) kJ/mol-H2O, but tends to be less negative with increasing temperature. Migration enthalpies of proton and oxygen vacancy are extracted as 0.83$\pm$0.10 eV and 0.81$\pm$0.01 eV, respectively.

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