A Fundamental Study (4) of Calculation Method to Detect Light Source Position by Monte Carlo Simulation

1998 ◽  
Vol 82 (Appendix) ◽  
pp. 111-111
Author(s):  
Shinichi Kai ◽  
Yuji Honda ◽  
Masayoshi Nagata ◽  
Hiromi Iwai ◽  
Tadashi Morita
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Light Source ◽  
Calculation Method ◽  
Source Position ◽  
Fundamental Study

Attenuation correction of 111In planar images by use of dual energy, fundamental study by Monte Carlo simulation

2014 ◽  
Vol 8 (1) ◽  
pp. 36-45
Author(s):  
Seiji Shirakawa ◽  
Masanori Tadokoro ◽  
Hiroshi Hashimoto ◽  
Tomoya Ushiroda ◽  
Hiroshi Toyama
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Attenuation Correction ◽  
Dual Energy ◽  
Fundamental Study ◽  
Planar Images

scholarly journals Intergreen Time Calculation Method of Signalized Intersections Based on Safety Reliability Theory: A Monte-Carlo Simulation Approach

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Ze-hao Jiang ◽  
Tao Wang
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Calculation Method ◽  
Traffic Accidents ◽  
Reliability Theory ◽  
Driving Behavior ◽  
Signalized Intersections ◽  
Signal Change ◽  
Conventional Calculation ◽  
Clearance Interval

In China, around ninety percent of the traffic accidents at signalized intersections occur within the signal change intervals, especially during signal change from green to red. Hence, intergreen time (IGT), that is, yellow change interval plus red clearance interval, is of great significance to the safety at signalized intersections. The conventional calculation method of IGT ignores the randomness of drivers’ behaviors, which we believe is an important factor in calculation of IGT. Therefore, the purpose of this research is to investigate a new approach to calculate the IGT based on safety reliability theory. Firstly, a comprehensive literature review concerning the conventional calculation methods of IGT is conducted. Secondly, a theoretical calculation method of IGT based on safety reliability theory is put forward; different from the conventional methods, this model accounts for the uncertainty of driving behavior parameters. Thirdly, a Monte-Carlo simulation is employed to simulate the interactive process of perception-reaction time (PRT) and vehicular deceleration and solve the proposed model. Finally, according to the Monte-Carlo simulation results, the curve clusters describing the relationship between IGT, safety reliability (50%-90%), and intersection width (15-35m) are drawn. Results show that the IGT of a signalized intersection, obeying the normal distribution, is influenced by multiple factors and most sensitive to the PRT and vehicular deceleration. Our method thus successfully incorporates the probabilistic nature of driving behavior. Taking the safety reliability into consideration can provide a more reasonable method to calculate the IGT of signalized intersections.

Analysis on Motion Precision Reliability of Hydraulic Support

2011 ◽  
Vol 48-49 ◽  
pp. 224-227
Author(s):  
Dong Chen Qin ◽  
Qiang Zhu ◽  
Hong Xia Wu ◽  
Zhe Feng Guo
Keyword(s):  
Mathematical Model ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Theoretical Calculation ◽  
Calculation Method ◽  
Effective Length ◽  
Future Research ◽  
Hydraulic Support ◽  
Continuous Contact ◽  
Continuous Contact Model

In order to research the motion precision reliability of hydraulic support when the influence of the bar length error and gap error is considered, the motion trace mathematical model for the top beam of hydraulic support is established, with the calculation method of motion precision reliability and the effective length of bar based on continuous contact model. Taking some type of hydraulic support as an example, its motion precision reliability is calculated and analyzed. The Monte Carlo simulation is also used to verify the model, and the T-R curve of the gap error and the reliability is plotted. The results from simulation accord with those from the theoretical calculation, which verifies the model established and can provide some valuable reference for the related future research.

Procurement Risk Management of Engineering Materials Based on Uncertain Rising Prices

2012 ◽  
Vol 174-177 ◽  
pp. 3219-3222
Author(s):  
Hui Chen
Keyword(s):  
Monte Carlo Simulation ◽  
Risk Management ◽  
Monte Carlo ◽  
Calculation Method ◽  
Economic Order Quantity ◽  
Purchasing Management ◽  
Order Quantity ◽  
Management Method ◽  
Engineering Materials ◽  
Procurement Risk

Practical risk purchasing management method of engineering materials is put forward by using Monte Carlo Simulation. First, the calculation method of economic order quantity is put forward based on rising price. Second, appropriate insurance inventory is calculated when material requirements is variable.

Monte Carlo Simulation Approach to the Duration of Yellow Lights at Signalized Intersections Considering the Stochastic Characteristics of Drivers

2020 ◽  
Vol 2674 (3) ◽  
pp. 37-45 ◽  
Author(s):  
Ze-hao Jiang ◽  
Xiao-guang Yang ◽  
Fang-kai Wang ◽  
Tao Wang
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Calculation Method ◽  
Reliability Theory ◽  
Driving Behavior ◽  
Signalized Intersections ◽  
Signal Change ◽  
Conventional Calculation ◽  
Stochastic Characteristics ◽  
Yellow Lights

In China, around 90% of traffic crashes at signalized intersections take place within the signal change intervals, especially during signal change from green to red. Hence, yellow time, which is a part of inter-green time, is of great significance to the safety of signalized intersections. The conventional calculation method for duration of yellow light (DYL) ignores the stochastic characteristics of drivers, which we believe is an important factor in this calculation. Therefore, the purpose of this research is to investigate a new approach to calculate DYL based on safety reliability theory in which the randomness of human factors is taken into consideration. Firstly, a comprehensive literature review concerning the conventional calculation methods of DYL is conducted. Secondly, a theoretical calculation method of DYL based on safety reliability theory is put forward which, different from the conventional methods, accounts for the stochastic characteristics of drivers. Additionally, a driving simulation experiment is designed to obtain two driving behavior parameters of Chinese drivers: perception–reaction time (PRT) and safe acceptable acceleration (SAA). Thirdly, a Monte Carlo simulation is employed to simulate the interactive process of PRT and SAA, and solve the proposed model. Finally, according to the Monte Carlo simulation results, a look-up table describing the relationship between DYL, safety reliability (50–90%) and approaching speed (15–40 km/h) is made. Results show that this method successfully incorporates the probabilistic nature of driving behavior. Taking the safety reliability into consideration can provide a more reasonable method to calculate the DYL of signalized intersections.

scholarly journals Calculation of deception probability of netted radar based on non-central chi-square distribution

2021 ◽  
Vol 17 (7) ◽  
pp. 155014772110337
Author(s):  
Yue Yuan ◽  
Gang-yi Tu ◽  
Ben Wang ◽  
Ling-ling Wang
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Probability Density ◽  
Calculation Method ◽  
Recognition Rate ◽  
Target Position ◽  
Density Model ◽  
Test Model ◽  
Chi Square ◽  
True Target

Aiming at the problems of complex factors affecting the rate of deception probability of networked of radar nets, the large amount of calculation by Monte Carlo simulation and the inability to quantitatively analyze the influence of various factors on the deception probability of networked, a calculation method of deception probability of networked is proposed. First, according to the homology measurement method based on the Mahalanobis distance, the probability density model of the deception probability of networked is calculated. Its probability density model obeys the non-central chi-square distribution. Then, a hypothesis test model is established to calculate the deception probability of networked mathematical expression. The simulation results show that the error between the calculation method of the deception probability of networked and the calculation result of 1000 times Monte Carlo is less than 2%. The method in this article can analyze the quantitative effect of false target position, interference distance interval, radar position, true target position, and other factors on the deception probability of networked, instead of Monte Carlo simulation, to provide a trade-off between the true target recognition rate and the deception probability of networked theoretical basis.

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