scholarly journals SOLUSI EKSAK MODEL EPIDEMI SUSCEPTIBLE-INFECTED-RECOVERED-DEATH

2021 ◽  
Vol 10 (3) ◽  
pp. 293
Author(s):  
FARRAS VITASHA PUTRI ◽  
MAHDHIVAN SYAFWAN ◽  
MUHAFZAN MUHAFZAN
Keyword(s):  

Model epidemi Susceptible-Infected-Recovered-Death (SIRD) adalah pengembangan dari model epidemi Susceptible-Infected-Removed (SIR) yang membagi kompartemen removed menjadi kompartemen recovered dan death. Dalam makalah ini dibahas kembali penurunan model SIRD. Selanjutnya dengan menggunakan persamaan Bernoulli, model tersebut diselesaikan untuk memperoleh solusi eksak dalam bentuk parametrik. Pengujian secara numerik untuk beberapa nilai parameter menunjukkan bahwa solusi numerik persis sama dengan solusi eksak.Kata Kunci: Solusi eksak, model epidemi Susceptible-Infected-Recovered-Death (SIRD), persamaan Bernoulli


2018 ◽  
Vol 18 (2) ◽  
pp. 109-127 ◽  
Author(s):  
Mohammad Junayed Bhuyan ◽  
M. Ataharul Islam ◽  
M. Shafiqur Rahman
Keyword(s):  


2015 ◽  
Vol 31 (21) ◽  
pp. 3514-3521 ◽  
Author(s):  
Huwenbo Shi ◽  
Bogdan Pasaniuc ◽  
Kenneth L. Lange






2020 ◽  
Vol 15 ◽  

The induced flexural vibration of slender pipe systems with continuous non uniform cross sectional area containing laminar flowing fluid lying on extended Winkler viscoelastic foundation is considered. The Euler Bernoulli model of the pipe has hinged ends. The inlet flow is considered constant steady that interacts with the wall of the pipe. The mathematical model is developed and its corresponding solution is obtained. The influence of the combination of variation of cross section, foundation stiffness and damping on the critical velocities, complex natural frequencies and stabilization of the system is presented.



2013 ◽  
Vol 394 ◽  
pp. 364-367
Author(s):  
Yong Chun Cheng ◽  
Yu Ping Shi ◽  
Guo Jin Tan

The related researches show that , the sunshine temperature field can cause the changes of the natural frequencies of the simply-supported beam. In order to recover the influence law of the temperature field on the natural frequencies, the calculation method of the natural frequencies of the simply-supported beam bridge is formed. First, according to the principles of stress equivalence, transform the sunshine temperature field to the partiality axis forces. Based on the Bernoulli model, the calculation method of the natural frequencies of the simply-supported beam under the partiality axis forces at both ends is formed. At last, take one simply-supported T beam as the object of numerical modeling and verify the validity and the reliability of this method.



2019 ◽  
Vol 34 (4) ◽  
pp. 570-582
Author(s):  
Yu Miao ◽  
Huanhuan Ma ◽  
Qinglong Yang

AbstractWe consider a class of correlated Bernoulli variables, which have the following form: for some 0 < p < 1, $$\begin{align}{P(X_{j+1}=1 \vert {\cal F}_{j})= (1-\theta_j)p+\theta_jS_j/j,}\end{align}$$where 0 ≤ θj ≤ 1, $S_n=\sum _{j=1}^nX_j$ and ${\cal F}_n=\sigma \{X_1,\ldots , X_n\}$. The aim of this paper is to establish the strong law of large numbers which extend some known results, and prove the moderate deviation principle for the correlated Bernoulli model.



Author(s):  
Paolo Barsocchi ◽  
Alan A. Bertossi ◽  
M. Cristina Pinotti ◽  
Francesco Potortì

Broadcasting is an efficient and scalable way of transmitting data over wireless channels to an unlimited number of clients. In this chapter the problem of allocating data to multiple channels is studied, assuming flat data scheduling per channel and the presence of unrecoverable channel transmission errors. The behavior of wireless channels is described by the Bernoulli model, in which each packet transmission has the same probability to fail and each transmission error is independent from the others. The objective is that of minimizing the average expected delay experienced by the clients. Optimal solutions can be found in polynomial time when all data items have unit lengths, while heuristics are presented when data items have non-unit lengths. Extensive simulations, performed on benchmarks whose item popularities follow Zipf distributions, show that good sub-optimal solutions are found.



2020 ◽  
Vol 58 (8) ◽  
pp. 1667-1679
Author(s):  
Benedikt Franke ◽  
J. Weese ◽  
I. Waechter-Stehle ◽  
J. Brüning ◽  
T. Kuehne ◽  
...  

Abstract The transvalvular pressure gradient (TPG) is commonly estimated using the Bernoulli equation. However, the method is known to be inaccurate. Therefore, an adjusted Bernoulli model for accurate TPG assessment was developed and evaluated. Numerical simulations were used to calculate TPGCFD in patient-specific geometries of aortic stenosis as ground truth. Geometries, aortic valve areas (AVA), and flow rates were derived from computed tomography scans. Simulations were divided in a training data set (135 cases) and a test data set (36 cases). The training data was used to fit an adjusted Bernoulli model as a function of AVA and flow rate. The model-predicted TPGModel was evaluated using the test data set and also compared against the common Bernoulli equation (TPGB). TPGB and TPGModel both correlated well with TPGCFD (r > 0.94), but significantly overestimated it. The average difference between TPGModel and TPGCFD was much lower: 3.3 mmHg vs. 17.3 mmHg between TPGB and TPGCFD. Also, the standard error of estimate was lower for the adjusted model: SEEModel = 5.3 mmHg vs. SEEB = 22.3 mmHg. The adjusted model’s performance was more accurate than that of the conventional Bernoulli equation. The model might help to improve non-invasive assessment of TPG.



Sign in / Sign up

Export Citation Format

Share Document