• 제목/요약/키워드: selection probability

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Probability Density Function of Samples' Amplitude of ASSS OFDM Signal

  • Wang, Lei;Yoon, Dong-Weon;Park, Sang-Kyu
    • Journal of electromagnetic engineering and science
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    • 제8권2호
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    • pp.59-63
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    • 2008
  • The adaptive symbol selection scheme(ASSS) is popular in reducing peak to average power ratio(PAPR) for orthogonal frequency division multiplexing(OFDM) signals. The probability density function(pdf) of the samples' amplitudes of the adaptively selected OFDM signal without over-sampling has been considered to be approximately equal to the Rayleigh pdf. In this paper, we derive a more precise pdf which shows the relationship between the probability distribution of the samples' amplitudes and the number of the candidate symbols for ASSS. Using the newly derived pdf in the theoretical analysis, more accurate calculation results can be obtained.

Variable Selection in Linear Random Effects Models for Normal Data

  • Kim, Hea-Jung
    • Journal of the Korean Statistical Society
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    • 제27권4호
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    • pp.407-420
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    • 1998
  • This paper is concerned with selecting covariates to be included in building linear random effects models designed to analyze clustered response normal data. It is based on a Bayesian approach, intended to propose and develop a procedure that uses probabilistic considerations for selecting premising subsets of covariates. The approach reformulates the linear random effects model in a hierarchical normal and point mass mixture model by introducing a set of latent variables that will be used to identify subset choices. The hierarchical model is flexible to easily accommodate sign constraints in the number of regression coefficients. Utilizing Gibbs sampler, the appropriate posterior probability of each subset of covariates is obtained. Thus, In this procedure, the most promising subset of covariates can be identified as that with highest posterior probability. The procedure is illustrated through a simulation study.

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민간 의료 보험 가입이 의료 이용에 미치는 영향 (Effect of private health insurance on health care utilization in a universal health insurance system: A case of South Korea)

  • 이유진;이진형
    • 한국병원경영학회지
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    • 제23권2호
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    • pp.42-53
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    • 2018
  • Purpose: this study investigates the effect of private health insurance on healthcare utilization. Methodology: For the analysis, we employed the three level nested two part model. Findings: the private health insurance adoption was associated with higher health care utilization. In particular, indemnity and fixed insurances adoption was associated with higher probability of outpatient visit, the number of outpatient visit and outpatient cost. While indemnity insurance adoption was associated with higher inpatient admission probability and inpatient days, fixed insurance adoption was associated only with higher inpatient admission probability. Practical Implications: indemnity and fixed insurance adoption were related with the adverse selection as well as moral hazard.

Dual Diversity over Correlated Ricean Fading Channels

  • Bithas Petros S.;Sagias Nikos C.;Mathiopoulos P. Takis
    • Journal of Communications and Networks
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    • 제9권1호
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    • pp.67-74
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    • 2007
  • The performance of dual diversity receivers operating over correlated Ricean fading channels is analyzed. Using a previously derived rapidly converging infinite series representation for the bivariate Ricean probability density function, analytical expressions for the statistics of dual-branch selection combining, maximal-ratio combining, and equal-gain combining output signal-to-noise ratio (SNR) are derived. These expressions are employed to obtain novel analytical formulae for the average output SNR, amount of fading, average bit error probability, and outage probability. The proposed mathematical analysis is used to study various novel performance evaluation results with parameters of interest the fading severity, average input SNRs, and the correlation coefficient. The series convergence rate is also examined verifying the fast convergence of the analytical expressions. The accuracy of most of the theoretical performance evaluation results are validated by means of computer simulations.

On Performance Evaluation of Hybrid Decode-Amplify-Forward Relaying Protocol with Partial Relay Selection in Underlay Cognitive Networks

  • Duy, Tran Trung;Kong, Hyung Yun
    • Journal of Communications and Networks
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    • 제16권5호
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    • pp.502-511
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    • 2014
  • In this paper, we evaluate performance of a hybrid decode-amplify-forward relaying protocol in underlay cognitive radio. In the proposed protocol, a secondary relay which is chosen by partial relay selection method helps a transmission between a secondary source and a secondary destination. In particular, if the chosen relay decodes the secondary source's signal successfully, it will forward the decoded signal to the secondary destination. Otherwise, it will amplify the signal received from the secondary source and will forward the amplified signal to the secondary destination. We evaluate the performance of our scheme via theory and simulation. Results show that the proposed protocol outperforms the amplify-and-forward and decode-and-forward protocols in terms of outage probability.

Outage Analysis of Cooperative Transmission in Two-Dimensional Random Networks over Rayleigh Fading Channels

  • Tran, Trung Duy;Kong, Hyung-Yun
    • Journal of electromagnetic engineering and science
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    • 제11권4호
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    • pp.262-268
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    • 2011
  • In this paper, we evaluate the outage performance of cooperative transmission in two-dimensional random networks. Firstly, we derive the joint distributions of the source-relay and the relay-destination links. Secondly, the outage probability for the decode-and-forward relaying system is derived when selection combining (SC) is employed at the destination. Finally, we calculate the average outage probability of the system and then attempt to express it by a simple approximate expression. The simulation results are presented to verify the accuracy of the derivations. Similar to deterministic networks, the cooperative transmission in random networks outperforms direct transmission at a high signal-to-noise ratio (SNR).

Cooperative Relaying with Interference Cancellation for Secondary Spectrum Access

  • Dai, Zeyang;Liu, Jian;Long, Keping
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권10호
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    • pp.2455-2472
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    • 2012
  • Although underlay spectrum sharing has been shown as a promising technique to promote the spectrum utilization in cognitive radio networks (CRNs), it may suffer bad secondary performance due to the strict power constraints imposed at secondary systems and the interference from primary systems. In this paper, we propose a two-phase based cooperative transmission protocol with the interference cancellation (IC) and best-relay selection to improve the secondary performance in underlay models under stringent power constraints while ensuring the primary quality-of-service (QoS). In the proposed protocol, IC is employed at both the secondary relays and the secondary destination, where the IC-based best-relay selection and cooperative relaying schemes are well developed to reduce the interference from primary systems. The closed-form expression of secondary outage probability is derived for the proposed protocol over Rayleigh fading channels. Simulation results show that, with a guaranteed primary outage probability, the proposed protocol can achieve not only lower secondary outage probability but also higher secondary diversity order than the traditional underlay case.

메타분석의 선택 편향 보정을 위한 쌍별 유사가능도 접근법 (Pairwise pseudolikelihood approach for adjusting selection bias in meta-analysis)

  • 국성희;이우주
    • 응용통계연구
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    • 제33권4호
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    • pp.439-449
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    • 2020
  • 메타 분석은 여러 연구 결과들을 종합시켜주는 분석 방법 중 하나이다. 이 때 수집되는 연구 문헌들은 소규모 연구인 경우 통계적으로 유의한 결과를 보이는 연구가 출간될 확률이 높기 때문에, 선택 편향의 특수한 경우인 출판 편향이 종종 발생한다. 선택 편향을 보정하는 방법에는 조건부 가능도와 가중 추정 방정식이 있는데 이 방법들은 실제 얻기 힘든 정확한 선택 확률 모형을 필요로한다. 반면 쌍별 유사가능도 접근법은 선택 확률 모형을 정확히 알 수 없는 경우에도 선택 편향을 보정할 수 있는 방법으로 제안되었다. 본 논문은 메타분석에서 쌍별 유사가능도 접근법의 성능과 문제점을 수치적으로 연구한다.

SVM 기반 유전 알고리즘을 이용한 컴파일러 분석 프레임워크 : 특징 및 모델 선택 민감성 (Compiler Analysis Framework Using SVM-Based Genetic Algorithm : Feature and Model Selection Sensitivity)

  • 황철훈;신건윤;김동욱;한명묵
    • 정보보호학회논문지
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    • 제30권4호
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    • pp.537-544
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    • 2020
  • 악성코드 기술 발전으로 변이, 난독화 등의 탐지 회피 방법이 고도화되고 있다. 이에 악성코드 탐지 기술에 있어 알려지지 않은 악성코드 탐지 기술이 중요하며, 배포된 악성코드를 통해 저자를 식별하여 알려지지 않은 악성코드를 탐지하는 악성코드 저자 식별 방법이 연구되고 있다. 본 논문에서는 바이너리 기반 저자 식별 방법에 대해 중요 정보인 컴파일러 정보를 추출하고자 하였으며, 연구 간에 특징 선택, 확률 및 비확률 모델, 최적화가 분류 효율성에 미치는 민감성(Sensitive)을 확인하고자 하였다. 실험에서 정보 이득을 통한 특징 선택 방법과 비확률 모델인 서포트 벡터 머신이 높은 효율성을 보였다. 최적화 연구 간에 제안하는 프레임워크를 통한 특징 선택 및 모델 최적화를 통해 높은 분류 정확도를 얻었으며, 최대 48%의 특징 감소 및 51배가량의 빠른 실행 속도라는 결과를 보였다. 본 연구를 통해 특징 선택 및 모델 최적화 방법이 분류 효율성에 미치는 민감성에 대해 확인할 수 있었다.

Single Relay Selection for Bidirectional Cooperative Networks with Physical-Layer Network Coding

  • Liu, Yingting;Zhang, Hailin;Hui, Leifang;Liu, Quanyang;Lu, Xiaofeng
    • ETRI Journal
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    • 제34권1호
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    • pp.102-105
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    • 2012
  • To serve the growing demand of the bidirectional information exchange, we propose a single relay selection (RS) scheme for physical-layer network coding (PNC) in a bidirectional cooperative network consisting of two sources and multiple relays. This RS scheme selects a single best relay by maximizing the bottleneck of the capacity region of both information flows in the bidirectional network. We show that the proposed RS rule minimizes the outage probability and that it can be used as a performance benchmark for any RS rules with PNC. We derive a closed-form exact expression of the outage probability for the proposed RS rule and show that it achieves full diversity gain. Finally, numerical results demonstrate the validity of our analysis.