• Title/Summary/Keyword: asymmetric loss

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Analysis on Bit Error Rate Performance of Negatively Asymmetric Binary Pulse Amplitude Modulation Non-Orthogonal Multiple Access in 5G Mobile Networks

  • Chung, Kyuhyuk
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.307-314
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    • 2021
  • Recently, positively asymmetric binary pulse amplitude modulation (2PAM) has been proposed to improve the bit error rate (BER) performance of the weak channel gain user, with a tolerable BER loss of the strong channel gain user, for non-orthogonal multiple access (NOMA). However, the BER loss of the stronger channel gain user is inevitable in such positively asymmetric 2PAM NOMA scheme. Thus, we propose the negatively asymmetric 2PAM NOMA scheme. First, we derive closed-form expressions for the BERs of the negatively asymmetric 2PAM NOMA. Then, simulations demonstrate that for the stronger channel gain user, the BER of the proposed negatively asymmetric 2PAM NOMA improves, compared to that of the conventional positively asymmetric 2PAM NOMA. Moreover, we also show that for the weaker channel gain user, the BER of the proposed negatively asymmetric 2PAM NOMA is comparable to that of the conventional positively asymmetric 2PAM NOMA, over the power allocation range less than about 10 %.

Comparison of Performance between Symmetric Trapezoidal Fins and Asymmetric Trapezoidal Fins (대칭 사다리꼴 핀과 비대칭 사다리꼴 핀의 성능 비교)

  • Kang, Hyungsuk
    • Transactions of the Korean Society of Automotive Engineers
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    • v.24 no.2
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    • pp.205-213
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    • 2016
  • Heat loss and fin efficiency of symmetric and asymmetric trapezoidal fins with variable slope of fin's top surface are obtained by using a two-dimensional analytic method. Shapes of symmetric and asymmetric fins are changed from rectangular through trapezoidal to triangular by adjusting the fin shape factor. The ratio of symmetric trapezoidal fin length to asymmetric trapezoidal fin length is presented as a function of fin base height and convection characteristic number. The ratio of symmetric trapezoidal fin efficiency to asymmetric trapezoidal fin efficiency is presented as a function of the fin base height and fin shape factor. One of results shows that asymmetric trapezoidal fin length is shorter than symmetric trapezoidal fin length (i.e., asymmetric trapezoidal fin volume is smaller than symmetric trapezoidal fin volume) for the same heat loss when the fin base height and fin shape factor are the same.

Simultaneous Estimation of Parameters from Power Series Distributions under Asymmetric Loss

  • Chung, Youn-Shik;Dipak K. Dey
    • Journal of the Korean Statistical Society
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    • v.23 no.1
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    • pp.151-166
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    • 1994
  • Let $X_1, \cdot, X_p$ be p independent random variables, where each $X_i$ has a distribution belonging to one parameter discrete power series distribution. The problem is to simultaneously estimate the unknown parameters under an asymmetric loss. Several new classes of dominating estimators are obtained by solving certain difference inequality.

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EMPIRICAL BAYES ESTIMATION OF THE TRUNCATION PARAMETER WITH ASYMMETRIC LOSS FUNCTION USING NA SAMPLES

  • Shi, Yimin;Shi, Xiaolin;Gao, Shesheng
    • Journal of applied mathematics & informatics
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    • v.14 no.1_2
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    • pp.305-317
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    • 2004
  • We construct the empirical Bayes (EB)estimation of the parameter in two-side truncated distribution families with asymmetric Linex loss using negatively associated (NA) samples. The asymptotical optimality and convergence rate of the EB estimation is obtained. We will show that the convergence rate can be arbitrarily close to $O(n^{-q}),\;q\;=\;{\lambda}s(\delta\;-\;2)/\delta(s\;+\;2)$.

Generalized Support Vector Quantile Regression (일반화 서포트벡터 분위수회귀에 대한 연구)

  • Lee, Dongju;Choi, Sujin
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.4
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    • pp.107-115
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    • 2020
  • Support vector regression (SVR) is devised to solve the regression problem by utilizing the excellent predictive power of Support Vector Machine. In particular, the ⲉ-insensitive loss function, which is a loss function often used in SVR, is a function thatdoes not generate penalties if the difference between the actual value and the estimated regression curve is within ⲉ. In most studies, the ⲉ-insensitive loss function is used symmetrically, and it is of interest to determine the value of ⲉ. In SVQR (Support Vector Quantile Regression), the asymmetry of the width of ⲉ and the slope of the penalty was controlled using the parameter p. However, the slope of the penalty is fixed according to the p value that determines the asymmetry of ⲉ. In this study, a new ε-insensitive loss function with p1 and p2 parameters was proposed. A new asymmetric SVR called GSVQR (Generalized Support Vector Quantile Regression) based on the new ε-insensitive loss function can control the asymmetry of the width of ⲉ and the slope of the penalty using the parameters p1 and p2, respectively. Moreover, the figures show that the asymmetry of the width of ⲉ and the slope of the penalty is controlled. Finally, through an experiment on a function, the accuracy of the existing symmetric Soft Margin, asymmetric SVQR, and asymmetric GSVQR was examined, and the characteristics of each were shown through figures.

A Study on AC loss Characteristics of Asymmetric non-inductive coils with Combination of Superconducting wires (초전도 선재 조합에 따른 비대칭 무유도성 코일의 교류 손실 특성 연구)

  • Kim, J.S.;Hwang, Y.J.;Na, J.B.;Choi, S.J.;Kim, Y.J.;Lee, J.H.;Lee, W.S.;Chang, K.S.;Ko, T.K.
    • Progress in Superconductivity and Cryogenics
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    • v.13 no.1
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    • pp.17-21
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    • 2011
  • A hybrid superconducting fault current limiter (SFCL) with fast switch had been previously suggested by our research group. To make a hybrid SFCL, different superconducting wires were wound two pancake coils so that two pancake coils had asymmetric configuration. The impedance of the asymmetric non-inductive coils are zero with applied normal current. However during the fault. currents were distributed unequally into the two pancake coils because each superconducting wires have different electrical characteristics. This unequal distribution of current causes effective magnetic flux which generate repulsive force. Fast switch was thus opened by the force applied to the aluminum plate which consists of SFCL. In this paper, the AC loss characteristics of the asymmetric non-inductive coils with combinations of superconducting wires were studied and calculated by related experiments and finite element method (FEM) simulation. From these results, we suggested the appropriate combination of two superconducting wires to be used for the asymmetric non-inductive coils.

Optimization of a 3-D Thermally Asymmetric Rectangular Fin

  • Gang, Hyeong-Seok
    • Journal of Mechanical Science and Technology
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    • v.15 no.11
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    • pp.1541-1547
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    • 2001
  • The non-dimensional fin length for optimum heat loss from a thermally asymmetric rectangular fin is represented as a function of the ratio of the bottom surface Biot number to the top surface Biot number, fin tip surface Biot number and the non-dimensional fin width. Optimum heat loss is taken as 98% of the maximum heat loss. For this analysis, three dimensional separation of variables method is used. Also, the relation between the ratio of the bottom surface Biot number to the top surface Biot number and the ratio of the right surface Biot number to the left surface Biot number is presented.

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SVQR with asymmetric quadratic loss function

  • Shim, Jooyong;Kim, Malsuk;Seok, Kyungha
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.6
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    • pp.1537-1545
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    • 2015
  • Support vector quantile regression (SVQR) can be obtained by applying support vector machine with a check function instead of an e-insensitive loss function into the quantile regression, which still requires to solve a quadratic program (QP) problem which is time and memory expensive. In this paper we propose an SVQR whose objective function is composed of an asymmetric quadratic loss function. The proposed method overcomes the weak point of the SVQR with the check function. We use the iterative procedure to solve the objective problem. Furthermore, we introduce the generalized cross validation function to select the hyper-parameters which affect the performance of SVQR. Experimental results are then presented, which illustrate the performance of proposed SVQR.

A Heat Transfer Analysis of a Thermally Asymmetric Triangular Fin; Based on Fin Tip Effect (열적 비대칭 삼각 핀의 열전달 해석; 핀 끝 효과에 기준)

  • Kang, Hyung-Suk
    • Journal of Industrial Technology
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    • v.22 no.B
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    • pp.21-26
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    • 2002
  • The non-dimensional heat loss from a thermally asymmetric triangular fin is investigated as a function of a ratio of upper and lower surface Biot numbers (Bi2/Bi1), the non-dimensional fin length and tip surface Biot number using the two-dimensional separation of variables method. The effect of fin tip surface Biot number on the variation of the non-dimensional temperature along the sloped upper and lower surfaces for the thermally asymmetric condition is presented. The relationship between the non-dimensional fin length and the fin tip surface Biot number for equal amount of heat loss is also discussed as well as the relationship between upper surface Biot number and tip surface Biot number for equal amount of heat loss.

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Effect of Asymmetric Root Temperature on the Heat Loss From a Rectangular Fin Under Unequal Surrounding Heat Convection Coefficient (주위의 열대류계수가 다를때 사각핀으로부터의 열손실에 대한 비대칭적인 핀바닥온도의 영향)

  • 강형석;김성준
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.6
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    • pp.1567-1571
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    • 1994
  • Under the assumption that thermal conductivity of the fin is constant and the conditions ate steady state, effects of non-constant and thermally asymmetric root temperature and unequal surrounding convection coefficients of the fin on the heat loss from a fin of rectangular profile are investigated. The heat loss form a rectangular fin becomes maximum when the highest root temperature deviates from the fin center to the fin side which has a higher convection coefficient as surrounding convection coefficients of the fin increase and as the difference between the convection coefficient of fin top side and that of fin bottom side increases.