scholarly journals Performance Analysis in Table Tennis - Stochastic Simulation by Numerical Derivation

2016 ◽  
Vol 15 (1) ◽  
pp. 22-36 ◽  
Author(s):  
S. Wenninger ◽  
M. Lames
Keyword(s):  
Performance Analysis ◽  
Markov Chain Model ◽  
Chain Model ◽  
Table Tennis ◽  
Simulation Approach ◽  
Winning Probability ◽  
Risky Play ◽  
High Level ◽  
The Impact ◽  
Positive Effect

Abstract The aim of this study was to identify the impact of different tactical behaviors on the winning probability in table tennis. The performance analysis was done by mathematical simulation using a Markov chain model. 259 high-level table tennis games were evaluated by means of a new simulation approach using numerical derivation to remove the necessity to perform a second modeling step in order to determine the difficulty of tactical behaviors. Based on the derivation, several mathematical constructs like directional derivations and the gradient are examined for application in table tennis. Results reveal errors and long rallies as the most influencing game situations, together with the positive effect of risky play on the winning probability of losing players.

scholarly journals Performance Analysis on Transfer Platforms in Frame Bridge Based Automated Container Terminals

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Hongtao Hu ◽  
Byung Kwon Lee ◽  
Youfang Huang ◽  
Loo Hay Lee ◽  
Ek Peng Chew
Keyword(s):  
Markov Chain ◽  
Performance Analysis ◽  
Markov Chain Model ◽  
Container Terminal ◽  
Container Terminals ◽  
Automated Guided Vehicles ◽  
Chain Model ◽  
Quay Cranes ◽  
Automated Container Terminal ◽  
Multistory Frame

This paper studies a new automated container terminal (ACT) system which utilizes multistory frame bridges and rail-mounted trolleys to transport containers between the quay and the yard. Beside typical ACT systems use trucks or automated guided vehicles for transporting containers between quay cranes and yard cranes, the new design uses three types of handling machines, namely, ground trolleys (GTs), transfer platforms (TPs), and frame trolleys (FTs). These three types of handling machines collaborate with one another to transport containers. This study decomposes the system into several subsystems. Each subsystem has one TP and several FTs and GTs dedicated to this TP. Then, a Markov chain model is developed to analyze the throughput of TPs. At last, the performance of the new ACT system is estimated. Sensitivity analyzes the numbers, and the processing rates of trolleys are conducted through the numeric experiments.

scholarly journals COVID-19 and homelessness in England: a modelling study of the COVID-19 pandemic among people experiencing homelessness, and the impact of a residential intervention to isolate vulnerable people and care for people with symptoms

2020 ◽  
Author(s):  
Dan Lewer ◽  
Isobel Braithwaite ◽  
Miriam Bullock ◽  
Max T Eyre ◽  
Robert W Aldridge ◽  
...  
Keyword(s):  
Critical Care ◽  
Success Factors ◽  
Hospital Admissions ◽  
Markov Chain Model ◽  
Severe Disease ◽  
Sensitivity Analyses ◽  
Homeless Population ◽  
Chain Model ◽  
Scenario Analyses ◽  
The Impact

AbstractBackgroundThere is an ongoing pandemic of the viral respiratory disease COVID-19. People experiencing homelessness are vulnerable to infection and severe disease. Health and housing authorities in England have developed a residential intervention that aims to isolate those vulnerable to severe disease (COVID-PROTECT) and care for people with symptoms (COVID-CARE).MethodsWe used a discrete-time Markov chain model to forecast COVID-19 infections among people experiencing homelessness, given strong containment measures in the general population and some transmission among 35,817 people living in 1,065 hostels, and 11,748 people sleeping rough (the ’do nothing’ scenario). We then estimated demand for beds if those eligible are offered COVID-PROTECT and COVID-CARE. We estimated the reduction in the number of COVID-19 cases, deaths, and hospital admissions that could be achieved by these interventions. We also conducted sensitivity and scenario analyses to identify programme success factors.ResultsIn a ’do nothing’ scenario, we estimate that 34% of the homeless population could get COVID-19 between March and August 2020, with 364 deaths, 4,074 hospital admissions and 572 critical care admissions. In our ’base intervention’ scenario, demand for COVID-PROTECT peaks at 9,934 beds, and demand for COVID-CARE peaks at 1,366 beds. The intervention could reduce transmission by removing symptomatic individuals from the community, and preventing vulnerable individuals from being infected. This could lead to a reduction of 164 deaths, 2,624 hospital admissions, and 248 critical care admissions over this period. Sensitivity analyses showed that the number of deaths is sensitive to transmission of COVID-19 in COVID-PROTECT. If COVID-PROTECT capacity is limited, scenario analyses show the benefit of prioritising people who are vulnerable to severe disease.ConclusionSupportive accommodation can mitigate the impact of the COVID-19 pandemic on the homeless population of England, and reduce the burden on acute hospitals.

A Markov Chain Model of Elite Table Tennis Competition

2010 ◽  
Vol 5 (2) ◽  
pp. 205-222 ◽  
Author(s):  
Mark Pfeiffer ◽  
Hui Zhang ◽  
Andreas Hohmann
Keyword(s):  
Markov Chain ◽  
Markov Chain Model ◽  
Chain Model ◽  
Table Tennis

scholarly journals Modeling of university dropout using Markov chains

Uniciencia ◽  
2020 ◽  
Vol 34 (1) ◽  
pp. 129-146 ◽  
Author(s):  
José Alejandro González-Campos ◽  
Cristian Manuel Carvajal-Muquillaza ◽  
Juan Elías Aspeé-Chacón
Keyword(s):  
Higher Education ◽  
Markov Chain Model ◽  
Dropping Out ◽  
Chain Model ◽  
Access To Higher Education ◽  
Higher Education System ◽  
University Departments ◽  
University Studies ◽  
University Dropout ◽  
The Impact

Access to higher education is only a first step in achieving equity in education; the following step is improving student retention, or lowering dropout rates, which is the same thing. The present study focused on the definition of an index as an estimator of the risk of individuals dropping out of a university using a Markov chain model, based on the randomness of the occurrence of dropping out. The suggested index was applied to a sample of 5,700 university students from the 2012-2015 annual cohorts of 8 university departments of a public regional university in Chile. The results indicate that the highest average probability of dropping out (slightly more than 39%) occurs in the first 2 semesters of university studies, and then decreases through time. This indicates the need for institutional retention policies that pay particular attention to the first year of university studies. Having this index also allows a formal estimation of changes or temporary variations in the risk, as well as quantifying the impact of interventions, not only for the case under study but for the entire higher education system.

scholarly journals An Improved Backoff Scheme and Its Performance Analysis for Full Duplex MAC Protocols in VLC Networks

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8263
Author(s):  
Yuta Sawa ◽  
Kosuke Sanada ◽  
Hiroyuki Hatano ◽  
Kazuo Mori
Keyword(s):  
Performance Analysis ◽  
Markov Chain Model ◽  
Visible Light Communication ◽  
Packet Transmission ◽  
Data Packet ◽  
Performance Evaluations ◽  
Full Duplex ◽  
Chain Model ◽  
Transmission Technique ◽  
Directional Transmission

IEEE 802.15.7 Visible Light Communication (VLC) networks suffer from performance degradation caused by the hidden device collisions due to the directional transmission with narrow beamwidth. One of the solutions for mitigating the hidden device collisions is to employ a full-duplex transmission technique. As a side effect of the full-duplex transmission in the VLC networks, however, the data-packet discard due to the retransmission limitation occurs frequently in the networks. This paper proposes an improved backoff scheme and its performance analysis to suppress the packet discard. The proposed backoff scheme increases the Backoff Exponent (BE) and the Number of Backoff stage (NB) in IEEE 802.15.7 only when the data packet transmission fails. To evaluate the system performance theoretically, this paper also provides the Markov-chain model for channel access with the proposed scheme. The performance evaluations through simulation and theoretical analysis show the effectiveness of the proposed scheme.

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