A method to improve the determination of ignition probability in buildings based on Bayesian network

2021 ◽  
Author(s):  
Jun Hu ◽  
Xueming Shu ◽  
Shifei Shen ◽  
Jun Yan ◽  
Fengshi Tian ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Ignition Probability

scholarly journals Determination of the Type of Heart Syndrome in Traditional Chinese Medicine with the Bayesian Network Method

2020 ◽  
Vol 12 (2) ◽  
pp. 32-38
Author(s):  
Asto Buditjahjanto
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Bayesian Networks ◽  
Bayesian Network ◽  
Expert Knowledge ◽  
Prior Probabilities ◽  
Network Method

The determination of a disease syndrome in the TCM is difficult enough to determine because it requires a lot of experience in observing patients' symptoms that appear in disease syndrome and their disease syndrome history. Symptoms that appear in one disease syndrome are varied and can also appear in other disease syndromes. This research limits the determination of the type of syndrome only in the heart organ. The purpose of this study is to determine the type of heart syndrome in TCM by using Bayesian Networks. Bayesian Networks is used because it has the advantage of adapting expert knowledge toward the preferences of symptoms that arise at a type of heart syndrome. The expert's preference is in the weights that act as prior probabilities that are used as the basis for calculations on the Bayesian Networks. The results showed that the Bayesian Networks can be used to determine the type of heart syndrome well. The results of trials on 7 patients yield the same diagnosis between the doctor's diagnosis and the Bayesian Networks calculation

Application of Bayesian Network in Learning Gene Network

2007 ◽  
pp. 319-341
Author(s):  
Tie-Fei Liu ◽  
Wing-Kin Sung ◽  
Ankush Mittal
Keyword(s):  
Mathematical Models ◽  
Bayesian Network ◽  
Gene Networks ◽  
Gene Network ◽  
Higher Order ◽  
Learning Performance ◽  
Biological Factors ◽  
Stochastic Events ◽  
Order Structures

Exact determination of a gene network is required to discover the higher-order structures of an organism and to interpret its behavior. Currently, learning gene network is one of the central themes of the post genome era. A lot of mathematical models are applied to learn gene networks. Among them, Bayesian network has shown its advantages over other methods because of its abilities to handle stochastic events, control noise, and handle dataset with a few replicates. In this chapter, we will introduce how Bayesian network has been applied to learn gene networks and how we integrated the important biological factors into the framework of Bayesian network to improve the learning performance.

scholarly journals Bayesian Network-Based Process Downtime Cost Determination of an Industrial Plant

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2768-2776
Keyword(s):  
Bayesian Network ◽  
Production Process ◽  
Strong Relationship ◽  
Industrial Plant ◽  
Voltage Sag ◽  
Industrial Plants ◽  
The Individual ◽  
Tolerance Curve ◽  
Cost Determination

Industrial plants utilize sensitive equipment to produce their products and meet their financial targets. Equipment downtime caused by power quality issues such as voltage sag affects production and entails cost hence poses a threat to their ability to deliver their financial objectives. This research aims to determine the response of industrial equipment to sag events and quantify the downtime cost caused by interruption in the production process. The study used the voltage tolerance curve to determine the individual equipment response to sag events and the Bayesian Network to establish the network structure of the production process. The probability of process interruption and the associated downtime losses was computed using a mathematical software. The research shows a strong relationship between the equipment’s response to voltage sag events and the production downtime cost and highlights the importance of the immunity of equipment to voltage sags.

A Multiphase Dynamic Bayesian Network Methodology for the Determination of Safety Integrity Levels

2019 ◽  
pp. 217-237 ◽  
Author(s):  
Baoping Cai ◽  
Yonghong Liu ◽  
Zengkai Liu ◽  
Yuanjiang Chang ◽  
Lei Jiang
Keyword(s):  
Bayesian Network ◽  
Dynamic Bayesian Network

Galactic orbits of stars

1966 ◽  
Vol 25 ◽  
pp. 93-97
Author(s):  
Richard Woolley
Keyword(s):  
Globular Cluster ◽  
Potential Field ◽  
High Velocity ◽  
Velocity Vector ◽  
Variable Stars ◽  
The Sun ◽  
Proper Motions ◽  
Rr Lyrae ◽  
The Galaxy

It is now possible to determine proper motions of high-velocity objects in such a way as to obtain with some accuracy the velocity vector relevant to the Sun. If a potential field of the Galaxy is assumed, one can compute an actual orbit. A determination of the velocity of the globular clusterωCentauri has recently been completed at Greenwich, and it is found that the orbit is strongly retrograde in the Galaxy. Similar calculations may be made, though with less certainty, in the case of RR Lyrae variable stars.

Distance to SN 1987A and the LMC

1999 ◽  
Vol 190 ◽  
pp. 549-554
Author(s):  
Nino Panagia
Keyword(s):  
Angular Size ◽  
Large Magellanic Cloud ◽  
Magellanic Cloud ◽  
Light Curves ◽  
Distance Modulus ◽  
Absolute Size ◽  
Sn 1987A

Using the new reductions of the IUE light curves by Sonneborn et al. (1997) and an extensive set of HST images of SN 1987A we have repeated and improved Panagia et al. (1991) analysis to obtain a better determination of the distance to the supernova. In this way we have derived an absolute size of the ringRabs= (6.23 ± 0.08) x 1017cm and an angular sizeR″ = 808 ± 17 mas, which give a distance to the supernovad(SN1987A) = 51.4 ± 1.2 kpc and a distance modulusm–M(SN1987A) = 18.55 ± 0.05. Allowing for a displacement of SN 1987A position relative to the LMC center, the distance to the barycenter of the Large Magellanic Cloud is also estimated to bed(LMC) = 52.0±1.3 kpc, which corresponds to a distance modulus ofm–M(LMC) = 18.58±0.05.

International determination of the total motion of the pole

1961 ◽  
Vol 13 ◽  
pp. 29-41
Author(s):  
Wm. Markowitz
Keyword(s):  
Secular Motion ◽  
The Future

A symposium on the future of the International Latitude Service (I. L. S.) is to be held in Helsinki in July 1960. My report for the symposium consists of two parts. Part I, denoded (Mk I) was published [1] earlier in 1960 under the title “Latitude and Longitude, and the Secular Motion of the Pole”. Part II is the present paper, denoded (Mk II).

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