• 제목/요약/키워드: Selection probability

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Probability Integral of the Inverted Dirichlet Distribution with Application

  • Kim, Kee-Young
    • Journal of the Korean Statistical Society
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    • 제13권1호
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    • pp.25-31
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    • 1984
  • A technique which has been used for the evaluation of certain kinds of multiple integrals, viz., the technique of imcomplete gamma function operators, is employed and extended to the case where the parameters and arguments are non-equal and non-integer for the probability integral of the inverted Dirichlet distribution. Several types of recurrence formulas have been developed for the tail probabilities and a subset selection procedure in ranking variances is discussed as an application.

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최선 릴레이 선택을 적용한 OFDM 기반 이중-홉 다중 릴레이 시스템의 아웃티지 성능 분석 (Outage Analysis of OFDM-Based Dual-hop Multi-Relay Systems with Best Relay Selection)

  • 박재철;왕진수;이지혜;김윤희
    • 한국통신학회논문지
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    • 제35권5C호
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    • pp.487-494
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    • 2010
  • 본 논문은 OFDM (orthogonal frequency division multiplexing) 기반 이중-홉 다중 릴레이 시스템에서 상호정보를 최대로 하는 릴레이 선택 기법을 고려한다. 상기 시스템에서 DF (decode-and-forward) 릴레이를 적용할 때와 AF (amplify-and-forward) 릴레이를 적용할 때에 대해 각각 시스템 아웃티지 확률에 대한 하한과 제공 가능한 최대 다양성 차수를 유도하고 모의실험으로 아웃티지 용량을 제공한다. 성능 평가 결과 DF와 AF 방식 모두 아웃티지 확률 하한과 동일한 다양성 차수를 제공하지만, DF가 AF보다 아웃티지 확률 하한에 더 가깝고 더 큰 아웃티지 용량을 제공함을 볼 수 있다. 또한, 플랫 페이딩과 달리 주파수 선택성 채널에서는 다중 경로 수가 증가하거나 릴레이 선택의 후보 릴레이 수가 증가할수록 AF에 대한 DF 방식의 성능 이득이 더욱 커짐을 볼 수 있다. 따라서, OFDM 기반 다중 릴레이 시스템에서는 성능 면에서 AF 릴레이보다는 DF 릴레이가 유리함을 알 수 있다.

Partial Relay Selection in Decode and Forward Cooperative Cognitive Radio Networks over Rayleigh Fading Channels

  • Zhong, Bin;Zhang, Zhongshan;Zhang, Dandan;Long, Keping;Cao, Haiyan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권11호
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    • pp.3967-3983
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    • 2014
  • The performance of an partial relay selection on the decode-and-forward (DF) mode cognitive radio (CR) relay networks is studied, with some important factors, including the outage probability, the bit error ratio (BER), and the average channel capacity being analyzed. Different from the conventional relay selection schemes, the impact of spectrum sensing process as well as the spectrum utilization efficiency of primary users on the performance of DF-based CR relaying networks has been taken into consideration. In particular, the exact closed-form expressions for the figures of merit such as outage probability, BER, and average channel capacity over independent and identically distributed (i.i.d.) Rayleigh fading channels, have been derived in this paper. The validity of the proposed analysis is proven by simulation, which showed that the numerical results are consistent with the theoretical analysis in terms of the outage probability, the BER and the average channel capacity. It is also shown that the full spatial diversity order can always be obtained at the signal-to-noise ratio (SNR) range of [0dB, 15dB] in the presence of multiple potential relays.

온라인 필기 숫자 인식을 위한 혼동 모델 선택 기준 (Confusion Model Selection Criterion for On-Line Handwritten Numeral Recognition)

  • 박미나;하진영
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제34권11호
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    • pp.1001-1010
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    • 2007
  • HMM은 파라미터의 수가 많을수록 모델링 성능이 향상되어 해당 클래스 데이타는 뿐만 아니라 혼동되는 다른 클래스 데이타에 대해서도 높은 확률을 출력하는 경향이 있다. 그러므로 단순히 파라미터 수를 증가 시키는 것은 변별력 향상에 도움이 되지 않는다. 본 논문에서는 혼동되는 클래스 데이터의 확률을 이용한 혼동 확률 선택 기준CMC(Confusion Model Selection Criterion)과 혼동 클래스 데이터를 구성하여 혼동 모델을 만들고 이것을 이용한 새로운 인식 방법인 RCM(Recognition using Confusion Models)을 제안하였다. 제안한 인식 방법은 혼동되는 클래스 데이타의 구성으로 혼동 데이타 집합을 만들고 이것을 이용하여 별도의 혼동 모델을 훈련한 후, 혼동 모델의 확률을 해당 표준 모델의 확률에서 차감하여 해당 클래스 데이타의 오인식 가능성을 억제한다. 모델 선택 기준 CMC를 온라인 필기 숫자 데이타를 대상으로 실험하여 기존 모델 선택 기준인 ML, ALC2, BIC와 비교 분석한 결과, 제안한 방법인 CMC가 적은 파라미터로 좋은 결과를 보였으며, 제안한 혼동 모델 인식 방법인 RCM은 93.08%의 인식률을 보여 표준 모델만을 사용한 인식한 방법보다 정인식률이 약 1.5%향상되었고, 이는 오류의 17.4%가 감소된 결과이다.

Joint Destination-Relay Selection and Antenna Mode Selection in Full-Duplex Relay Network

  • Tang, Yanan;Gao, Hui;Su, Xin;Lv, Tiejun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권6호
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    • pp.2831-2847
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    • 2017
  • In this paper, a joint destination-relay selection and antenna mode selection scheme for full-duplex (FD) relay network is investigated, which consists of one source node, N FD amplify-and-forward (AF) relays and M destination nodes. Multiple antennas are configured at the source node, and beamforming technique is adopted. Two antennas are employed at each relay, one for receiving and the other for transmitting. Only one antenna is equipped at each destination node. In the proposed scheme, the best destination node is firstly selected according to the direct links between the source node and destination nodes. Then the transmit and receive mode of two antennas at each relay is adaptively selected based on the relaying link condition. Meanwhile, the best relay with the optimal Tx/Rx antenna configuration is selected to forward the signals. To characterize the performance of the proposed scheme, the closed-form expression of the outage probability is derived; meanwhile, the simple asymptotic expressions are also obtained. Our analysis shows that the proposed scheme obtains the benefits of multi-relay diversity and multi-destination diversity. Moreover, extra space diversity in the medium SNR region can be achieved due to the antenna selection at the relay. Finally, Monte-Carlo simulations are provided to consolidate the analytical results, and show the effectiveness of the proposed scheme.

Model Selection for Tree-Structured Regression

  • Kim, Sung-Ho
    • Journal of the Korean Statistical Society
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    • 제25권1호
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    • pp.1-24
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    • 1996
  • In selecting a final tree, Breiman, Friedman, Olshen, and Stone(1984) compare the prediction risks of a pair of tree, where one contains the other, using the standard error of the prediction risk of the larger one. This paper proposes an approach to selection of a final tree by using the standard error of the difference of the prediction risks between a pair of trees rather than the standard error of the larger one. This approach is compared with CART's for simulated data from a simple regression model. Asymptotic results of the approaches are also derived and compared to each other. Both the asymptotic and the simulation results indicate that final trees by CART tend to be smaller than desired.

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NEW SELECTION APPROACH FOR RESOLUTION AND BASIS FUNCTIONS IN WAVELET REGRESSION

  • Park, Chun Gun
    • Korean Journal of Mathematics
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    • 제22권2호
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    • pp.289-305
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    • 2014
  • In this paper we propose a new approach to the variable selection problem for a primary resolution and wavelet basis functions in wavelet regression. Most wavelet shrinkage methods focus on thresholding the wavelet coefficients, given a primary resolution which is usually determined by the sample size. However, both a primary resolution and the basis functions are affected by the shape of an unknown function rather than the sample size. Unlike existing methods, our method does not depend on the sample size and also takes into account the shape of the unknown function.

Adaptive Slot-Count Selection Algorithm based on Tag Replies in EPCglobal Gen-2 RFID System

  • 임인택
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2011년도 추계학술대회
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    • pp.653-655
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    • 2011
  • EPCglobal proposed a Q-algorithm, which is used for selecting a slot-count in the next query round. However, it is impossible to allocate an optimized slot-count because the original Q-algorithm did not define an optimized weight C value. In this paper, we propose an adaptive Q-algorithm, in which we differentiate the weight values with respect to collision and empty slots. The weight values are defined with the identification time as well as the collision probability.

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비균질 지반에서 압밀계수의 확률분포가 압밀의 확률론적 해석에 미치는 영향 (Effect of Probability Distribution of Coefficient of Consolidation on Probabilistic Analysis of Consolidation in Heterogeneous Soil)

  • 봉태호;허준;손영환
    • 한국농공학회논문집
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    • 제60권3호
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    • pp.63-70
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    • 2018
  • In this study, a simple probabilistic approach using equivalent coefficient of consolidation ($c_e$) was proposed to consider the spatial variability of coefficient of vertical consolidation ($c_v$), and the effect of the probability distribution of coefficient of consolidation on degree of consolidation in heterogeneous soil was investigated. The statistical characteristics of consolidation coefficient were estimated from 1,226 field data, and four probability distributions (Normal, Log-normal, Gamma, and Weibull) were applied to consider the effect of probability distribution. The random fields of coefficient of consolidation were generated based on Karhunen-Loeve expansion. Then, the equivalent coefficient of consolidation was calculated from the random field and used as the input value of consolidation analysis. As a result, the probabilistic analysis can be performed effectively by separating random field and numerical analysis, and probabilistic analysis was performed using a Latin hypercube Monte Carlo simulation. The results showed that the statistical properties of $c_e$ were changed by the probability distribution and spatial variability of $c_v$, and the probability distribution of $c_v$ has considerable effects on the probabilistic results. There was a large difference of failure probability depend on the probability distribution when the autocorrelation distance was small (i.e., highly heterogeneous soil). Therefore, the selection of a suitable probability distribution of $c_v$ is very important for reliable probabilistic analysis of consolidation.

도청자가 존재하는 무선 협력 네트워크의 전달 단말 선택을 통한 보안 전송률 최대 전송기술 및 성능분석 (Maximizing Secrecy Rate and Performance Analysis of Relay Selection for Cooperative Diversity Networks in Presence of an Eavesdropper)

  • 주민철;권대길;조진웅
    • 한국멀티미디어학회논문지
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    • 제18권4호
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    • pp.533-540
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    • 2015
  • We study relay selection in decode-and-forward (DF)-based relay networks consisting of a source, a destination, an eavesdropper, and multiple relays, where each terminal has a single antenna and operates in a half-duplex mode. In these networks, it is desirable to protect the confidential message from the source to the destination against the eavesdropper with the help of a single selected relay. Specifically, we begin by investigating DF-based networks for the scenario instantaneous signal-to-noise ratios (SNRs) related to the eavesdropper are available. For the scenario, we propose relay selection to maximize the secrecy rate of DF-based networks with and without direct-paths, and we derive the exact secrecy outage probabilities in closed-form.