Analysis of Execution Mechanism of Scorpion Like Temperature Measuring Robot for Coke Oven by Yaxiong Ren, Qiang Gao, Haodong Zhang, Jiaolong Xue, Hongwei Yan

“…The workspace verification of the cover lifting mechanism can realize the workspace obtained by Monte Carlo， which lays a foundation for actual temperature measurement.…”
Get full text

COLLABORATIVE ANALYSIS OF AIR-COOLED TURBINE BLADE LOW-CYCLE FATIGUE RELIABILITY by LI Chong, LV JingWei, GUO RuiChen, LU Tan

“…The low-cycle fatigue reliability analysis of the blade was completed using the Monte-Carlo method. Comparing with the traditional response surface method,the distributed collaborative response surface method is more accurate.…”
Get full text

An Incremental-Hybrid-Yager’s Entropy Model for Dynamic Portfolio Selection with Fuzzy Variable by Yin Li, Jian Tao, Yazhi Song

“…At last, a compromised genetic algorithm is designed, and the numerical example shows that the proposed model achieves solid returns compared against the mean-variance model and Markov chain Monte Carlo method.…”
Get full text

Stochastic Responses for the Vibro-Impact System under the Broadband Noise by S. W. Guan, Q. Ling, M. Xu

“…The comparison between the analytical results and those from Monte Carlo simulations manifests the accuracy of the proposed technique. …”
Get full text

Exact Interval Inference for the Two-Parameter Rayleigh Distribution Based on the Upper Record Values by Jung-In Seo, Jae-Woo Jeon, Suk-Bok Kang

“…Finally, the validity of the proposed inference methods was examined from Monte Carlo simulations and real data.…”
Get full text

Analysis of Type-II Censored Competing Risks’ Data under Reduced New Modified Weibull Distribution by Saad J. Almalki, Tahani A. Abushal, M. D. Alsulami, G. A. Abd-Elmougod

“…Finally, the estimators are compared with the Monte Carlo simulation study.…”
Get full text

Reliability and Random Lifetime Models of Planetary Gear Systems by Peng Gao, Liyang Xie, Wei Hu

“…Moreover, failure dependence and dynamic random load redistributions are taken into account in the models. Monte Carlo simulations are carried out to validate the proposed models. …”
Get full text

An Efficient TDOA-Based Localization Algorithm without Synchronization between Base Stations by Sangdeok Kim, Jong-Wha Chong

“…The localization performance of the proposed algorithm is verified with Monte-Carlo simulations.…”
Get full text

De l’effet de sidération et de peur dans les autoportraits d’Andy Warhol by Marie CORDIÉ-LEVY

“…Using the technique of the tactile micro-analysis inspired by historian Carlo Ginzburg and art historian Aloïs Riegl, we will attempt to decipher the effects of fear and shock by referring to the different stages defined by Roger Caillois as composing fear: travestissement, camouflage, and bullying. …”
Get full text

Nitrogen Adsorption Studies on Non-Porous Silica: The Annealing Effect over Surface Non-Bridging Oxygen Atoms by Carmelo Herdes, Patrícia A. Russo, M. Manuela L. Ribeiro Carrott, Peter J.M. Carrott

“…By means of Grand Canonical Monte Carlo (GCMC) simulations, nitrogen adsorption isotherms were obtained for each sample, with charged and uncharged nitrogen molecules, and compared with relevant experimental data. …”
Get full text

Modelling of Ethane/Ethylene Separation Using Microporous by Susana Curbelo, Erich A. Müller

“…Grand Canonical Monte Carlo simulations of the adsorption of a mixture of ethane and ethylene on microporous slit graphite pores are reported. …”
Get full text

On Extended Neoteric Ranked Set Sampling Plan: Likelihood Function Derivation and Parameter Estimation by Fathy H. Riad, Mohamed A. Sabry, Ehab M. Almetwally, Ramy Aldallal, Randa Alharbi, Md. Moyazzem Hossain

“…Therefore, in this paper, the likelihood function based on ENRSS is proposed and used for estimation of the parameters of the inverted Nadarajah–Haghighi distribution. An extensive Monte Carlo simulation study is conducted to assess the performance of the proposed likelihood function, and the efficiency of the estimated parameters based on ENRSS is compared with the well-known ranked set sampling (RSS) plan and some of its modifications. …”
Get full text

Cooperative Analysis of a Scorpion-like Composite Robot with Multiple Arms by Xue Jiaolong, Gao Qiang, Zhang Jie, Yan Hongwei

“…In order to verify the rationality of the robot structure, the overall D-H structure of the composite robot is modeled by Matlab, the forward and inverse kinematics of the legs of the composite robot are analyzed, and the working space probability model of the infrared thermometer with both arms and tail is obtained by Monte Carlo method simulation. In order to verify the motion stability of the robot, the stable gait of the composite robot was obtained through Adams simulation. …”
Get full text

Variance Swap Pricing under Markov-Modulated Jump-Diffusion Model by Shican Liu, Yu Yang, Hu Zhang, Yonghong Wu

“…Moreover, a semi-Monte-Carlo simulation is also presented in comparison with the two semi-closed-form pricing formulas. …”
Get full text

ROBUST OPTIMIZATION DESIGN OF SUSPENSION BASED ON 6σ by FENG JinZhi, YANG ZhiFeng, YANG ZhenYi, LIN Yang, ZHENG SongLin

“…Based on the same constraints, the sequence quadratic optimization algorithm is used to deterministic optimize of the suspension and the robustness design of it. The Monte Carlo simulation is used to analyze the robustness of each optimization result. …”
Get full text

Random Error Estimation and Propagation Analysis for Satellites’ Initial Positions by Huanqin Wu, Maocai Wang, Zhiming Song, Xiaoyu Chen, Guangming Dai

“…By comparing with the experiment results using the Monte Carlo method, it is proved that the proposed model is relatively simple, highly effective, and good at accuracy.…”
Get full text

Improved Inference for Moving Average Disturbances in Nonlinear Regression Models by Pierre Nguimkeu

“…Compared to the commonly used first-order methods such as likelihood ratio and Wald tests which rely on large samples and asymptotic properties of the maximum likelihood estimation, the proposed method has remarkable accuracy. Monte Carlo simulations are provided to show how the proposed method outperforms the existing ones. …”
Get full text

Kibria–Lukman Hybrid Estimator for Handling Multicollinearity in Poisson Regression Model: Method and Application by Hleil Alrweili

“…We evaluate the performance of our estimator through extensive Monte Carlo simulations, assessing its accuracy using mean absolute percentage errors (MAPE) and MSE. …”
Get full text

Conceptual Study on Recriticality Prevention Core Having Duplex Pellets with Neutron Absorber in Outer Core in a Fast Reactor by Toshio Wakabayashi, Makoto Takahashi, Naoyuki Takaki, Yoshiaki Tachi, Mari Yano

“…Analysis by the continuous energy model Monte Carlo code MVP using the JENDL-4.0 nuclear data library revealed that this fast reactor core has large negative reactivity due to fuel melting at the time of a severe accident, so that the core prevents recriticality. …”
Get full text

Implementation Aspects in Simulation Extrapolation-Based Stocking–Lord Linking by Alexander Robitzsch

“…This article evaluates two computational shortcuts to SIMEX-based SL linking through a simulation study: a quasi-Monte Carlo method that replicates items and a proposal using an approximate noniterative estimation instead of the iterative one in the SIMEX application of SL linking. …”
Get full text