• Title/Summary/Keyword: joint probability

Search Result 294, Processing Time 0.021 seconds

Analysis of Antenna Selection in Two-way Relaying MIMO Systems with CPM Modulation

  • Lei, Guowei;Chen, Hailan;Liu, Yuanan
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.15 no.3
    • /
    • pp.1140-1155
    • /
    • 2021
  • Up to now, many state-of-arts have been proposed for two-way relaying system with linear modulations. The performances of antenna selection (AS) at both transmit and relay nodes need to be investigated in some two-way relaying multiple-input multiple-output (TWRM) systems. In this paper, the goal is focused on the study of nonlinear modulations, i.e., continuous phase modulation (CPM) in TWRM systems. Firstly, the joint phase trellis are simplified by reversed Rimoldi processing so as to reduce the systems' complexity. Then the performances of joint transmit and receive antenna selection (JTRAS) with CPM modulations in two-way relaying MIMO systems are analyzed. More exactly, the pair wise probability (PEP) is used to evaluate the error performance based on the CPM signal matrix, which is calculated in terms of Laurent expression. Since the channels subject to two terminal nodes share common antennas at relay node R in multiple-access scheme, we revise the JTRAS algorithm and compare it to existing algorithm via simulation. Finally, the error performances for various schemes of antenna selection are simulated and compared to the analysis in this paper.

A Case Study on Temporomandibular Dysfuncton, Pain and Bruxism (하악관절 동통, 기능장애 및 이갈이의 치 - 정신과적 분석연구)

  • Chung-Shik Lee
    • Journal of Oral Medicine and Pain
    • /
    • v.15 no.1
    • /
    • pp.69-78
    • /
    • 1991
  • This study was intended to review comprehensively the articles related to temporomandibular joint disorder patients and to analyze psychoanalytically the case with temporomandibular dysfunction and bruxism as a symptom of hysterical conversion disorder. As a result, the author found that , in the aspect of psychoanalysis, the temporomandibular problem and bruxism was a kind of symptom of emotional conflict being converted to the face. I would like to emphasize that the referral process and the ability to work as a therapeutic team including dentist and psychiatrist can enhance the probability of successful treatment for several types of patients.

  • PDF

DISCRETE-TIME BULK-SERVICE QUEUE WITH MARKOVIAN SERVICE INTERRUPTION AND PROBABILISTIC BULK SIZE

  • Lee, Yu-Tae
    • Journal of applied mathematics & informatics
    • /
    • v.28 no.1_2
    • /
    • pp.275-282
    • /
    • 2010
  • This paper analyzes a discrete-time bulk-service queue with probabilistic bulk size, where the service process is interrupted by a Markov chain. We study the joint probability generating function of system occupancy and the state of the Markov chain. We derive several performance measures of interest, including average system occupancy and delay distribution.

DISCRETE-TIME $Geo^X/G/l$ QUEUE WITH PLACE RESERVATION DISCIPLINE

  • Lee Yu-Tae
    • Journal of applied mathematics & informatics
    • /
    • v.22 no.1_2
    • /
    • pp.453-460
    • /
    • 2006
  • A discrete-time priority queueing system with place reservation discipline is studied, in which two different types of packets arrive according to batch geometric streams. It is assumed that there is a reserved place in the queue. Whenever a high-priority packet enters the queue, it will seize the reserved place and make a new reservation at the end of the queue. Low-priority arrivals take place at the end of the queue in the usual way. Using the probability generating function method, the joint distribution of system state and the delay distribution for each type are obtained.

RETRIAL QUEUEING SYSTEM WITH COLLISION AND IMPATIENCE

  • Kim, Jeong-Sim
    • Communications of the Korean Mathematical Society
    • /
    • v.25 no.4
    • /
    • pp.647-653
    • /
    • 2010
  • We consider an M/M/1 retrial queue with collision and impatience. It is shown that the generating functions of the joint distributions of the server state and the number of customers in the orbit at steady state can be expressed in terms of the confluent hypergeometric functions. We find the performance characteristics of the system such as the blocking probability and the mean number of customers in the orbit.

Multiattribute Stochastic Statistical Dominance in Decision Making with Incomplete Information (불완전한 정보하의 의사결정하에서의 아중요인 추계적-통계적 우세법칙)

  • 이대주
    • Journal of the Korean Operations Research and Management Science Society
    • /
    • v.18 no.2
    • /
    • pp.45-55
    • /
    • 1993
  • In multiattribute decision making a decision maker (DM) can choose the best alternative if his/her multiattribute utility function and the joint probability distribution of outcomes are exactly known. This paper develops multiattribute stochastic-statistical dominance rules which can be applied to the situation when neither of them is known exactly, that is, when the DM cannot calculate the expected utility for each alternative. First, the notion of relative risk aversion is used dominance rules are developed to screen out dominated alternatives so that hi/she choose the best one among the remaining nondominated alternatives.

  • PDF

On Weak Convergence of Some Rescaled Transition Probabilities of a Higher Order Stationary Markov Chain

  • Yun, Seok-Hoon
    • Journal of the Korean Statistical Society
    • /
    • v.25 no.3
    • /
    • pp.313-336
    • /
    • 1996
  • In this paper we consider weak convergence of some rescaled transi-tion probabilities of a real-valued, k-th order (k $\geq$ 1) stationary Markov chain. Under the assumption that the joint distribution of K + 1 consecutive variables belongs to the domain of attraction of a multivariate extreme value distribution, the paper gives a sufficient condition for the weak convergence and characterizes the limiting distribution via the multivariate extreme value distribution.

  • PDF

DISCRETE-TIME QUEUE WITH VARIABLE SERVICE CAPACITY

  • LEE YUTAE
    • Journal of the Korean Mathematical Society
    • /
    • v.42 no.3
    • /
    • pp.517-527
    • /
    • 2005
  • This paper considers a discrete-time queueing system with variable service capacity. Using the supplementary variable method and the generating function technique, we compute the joint probability distribution of queue length and remaining service time at an arbitrary slot boundary, and also compute the distribution of the queue length at a departure time.

A Study on Risk Factor Analysis of Construction Scaffold Installation (건설비계 설치작업의 위험요인 분석에 관한 연구)

  • Kim, Kyong-Hoon;Boo, Yoon-Seob
    • Proceedings of the Korean Institute of Building Construction Conference
    • /
    • 2019.11a
    • /
    • pp.189-190
    • /
    • 2019
  • Designers and builders are omitting structural design and relying on workers' experience, due to the lack of awareness of the importance of scaffolding in domestic construction sites, and there is a high probability of collapsing accidents such as inappropriate wall joint installation and non-compliance with work procedures. Therefore, risk factors were analyzed in detail and major risk factors were derived from opinions of site managers and scaffolding experts in this study.

  • PDF

Analysis of Random Properties for JRC using Terrestrial LiDAR (지상라이다를 이용한 암반사면 불연속면거칠기에 대한 확률특성 분석)

  • Park, Sung-Wook;Park, Hyuck-Jin
    • The Journal of Engineering Geology
    • /
    • v.21 no.1
    • /
    • pp.1-13
    • /
    • 2011
  • Joint roughness is one of the most important parameters in analysis of rock slope stability. Especially in probabilistic analysis, the random properties of joint roughness influence the probability of slope failure. Therefore, a large dataset on joint roughness is required for the probabilistic analysis but the traditional direct measurement of roughness in the field has some limitations. Terrestrial LiDAR has advantagess over traditional direct measurement in terms of cost and time. JRC (Joint Roughness Coefficient) was calculated from statistical parameters which are known from quantitative methods of converting the roughness of the material surface into JRC. The mean, standard deviation and distribution function of JRC were obtained, and we found that LiDAR is useful in obtaining large dataset for random variables.