• Title/Summary/Keyword: 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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    • v.8 no.2
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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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    • v.27 no.4
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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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Effect of private health insurance on health care utilization in a universal health insurance system: A case of South Korea (민간 의료 보험 가입이 의료 이용에 미치는 영향)

  • Lee, You Jin;Lee, Jinhyung
    • Korea Journal of Hospital Management
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    • v.23 no.2
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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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    • v.9 no.1
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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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    • v.16 no.5
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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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    • v.11 no.4
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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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    • v.6 no.10
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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.

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

  • Kuk, Sunghee;Lee, Woojoo
    • The Korean Journal of Applied Statistics
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    • v.33 no.4
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    • pp.439-449
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    • 2020
  • Meta-analysis provides a way of integrating several independent studies of interest. Since small studies with statistically significant results are more likely to be published, publication bias, which is a special case of selection bias, often occurs in meta analysis. Conditional likelihood and weighted estimating equation have been proposed to deal with publication bias, but they require to specify a correct selection probability model. In contrast, the pairwise pseudolikelihood approach can correct publication bias without fully specifying the correct selection probability model, but its performance in meta-analysis was not investigated. In this paper, we perform a numerical study about whether the pairwise pseudolikelihood approach is effective for solving publication bias arising from typical meta-analysis settings.

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

  • Hwang, Cheol-Hun;Shin, Gun-Yoon;Kim, Dong-Wook;Han, Myung-Mook
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.4
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    • pp.537-544
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    • 2020
  • Advances in detection techniques, such as mutation and obfuscation, are being advanced with the development of malware technology. In the malware detection technology, unknown malware detection technology is important, and a method for Malware Authorship Attribution that detects an unknown malicious code by identifying the author through distributed malware is being studied. In this paper, we try to extract the compiler information affecting the binary-based author identification method and to investigate the sensitivity of feature selection, probability and non-probability models, and optimization to classification efficiency between studies. In the experiment, the feature selection method through information gain and the support vector machine, which is a non-probability model, showed high efficiency. Among the optimization studies, high classification accuracy was obtained through feature selection and model optimization through the proposed framework, and resulted in 48% feature reduction and 53 faster execution speed. Through this study, we can confirm the sensitivity of feature selection, model, and optimization methods to classification efficiency.

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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    • v.34 no.1
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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.