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Lu Xing, Daoxing Zou, Yi Fei, Kejun Long and Jie Wang
Different toll collection types of vehicles and different distribution of tollbooths lead to the toll plaza diverging area becoming a typical vehicle weaving area with frequent crossing behaviors and conflicts on highways. This study aims to identify con...
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Davide Luciano De Luca and Luciano Galasso
This study tests stationary and non-stationary approaches for modelling data series of hydro-meteorological variables. Specifically, the authors considered annual maximum rainfall accumulations observed in the Calabria region (southern Italy), and attent...
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Qing Zhang, Yuhu Yang
Pág. 153 - 160
The randomness of a high-speed elevator car system?s parameters was caused by manufacturing and installation error. In order to more accurately evaluate the dynamic behavior of the elevator car, the compound vibration problems containing both random exci...
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Liwei Duan, Qiyuan Peng, Yinying Tang
Pág. 416 - 424
Railway shippers? preferences heterogeneity is caused by their attitudes and perception towards attributes of various rail freight services, and is differentiated amongst shippers. Random Parameter Latent Class (RPLC) model is applied to elicit Chinese r...
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Edita Kolárová,Lubomír Brancík
Pág. 1 - 8
In this paper we present an application of the Itô stochastic calculus to the problem of modelling RLC electrical circuits. The deterministic model of the circuit is replaced by a stochastic model by adding a noise term to various parameters of the circu...
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Yingjie Wang, Qiang Tan, Desheng Wu, Hao Chen, Naikun Hu and Yuxuan Zhao
In the deep well drilling process in the Fukang Depression of the Eastern Junggar Basin, rock fracturing issues and low rate of penetration (ROP) have posed significant challenges to drilling efficiency. Accurate predictions of ROP prior to drilling are ...
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Zhu Fang and Zhengquan Xu
Advances in network technology have enhanced the concern for network security issues. In order to address the problem that hopping graph are vulnerable to external attacks (e.g., the changing rules of fixed graphs are more easily grasped by attackers) an...
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Konstantinos Babakos, Dimitris Papamichail, Panagiotis Tziachris, Vassilios Pisinaras, Kleoniki Demertzi and Vassilis Aschonitis
A classic method for assessing the reference crop evapotranspiration (ETo) is the pan evaporation (Epan) method that uses Epan measurements and pan coefficient (kp) models, which can be functions of relative humidity (RH), wind speed (u2), and temperatur...
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Vladimir Belsky,Ivan Chizhov,Anastasiya Chichaeva,Vasily Shishkin
Pág. 10 - 26
A physically unclonable function is a hardware device whose instances have several unique parameters and characteristics, i.e. it is impossible to create two instances with identical values of these characteristics due to the properties of the physical p...
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Zheheng Chen, Tong Guo, Shaobo Liu and Weiwei Lin
The parameters affecting structural reliability are usually regarded as independent random variables in the current reliability analyses of bridge structures while the randomness of these structural parameters in spatial distribution is neglected. To ove...
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Andrei Konstantinov, Lev Utkin and Vladimir Muliukha
This paper provides new models of the attention-based random forests called LARF (leaf attention-based random forest). The first idea behind the models is to introduce a two-level attention, where one of the levels is the ?leaf? attention, and the attent...
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Chin-Sheng Huang,Yi-Sheng Liu
Pág. 189 - 201
This paper addresses problem of predicting direction of movement of stock price index for Taiwan stock markets. The study compares four prediction models, Artificial Neural Network (ANN), Support Vector Machine (SVM), random forest and naive-Bayes with t...
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Oleg E. Gulin and Igor O. Yaroshchuk
For a low-frequency sound signal propagating in a two-dimensionally inhomogeneous shallow-water waveguide, the influence of random bathymetry (fluctuating bottom boundary) was considered based on the local-mode approach and statistical modeling using fir...
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Qingyu Zhu, Qingkai Han, Jinguo Liu and Changshuai Yu
In this paper, a finite element model updating (FEMU) method is proposed based on the response surface model (RSM) and genetic algorithm (GA) to establish a high-precision finite element (FE) model of space station scientific experiment racks. First, the...
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Anna Suzuki, Ken-ichi Fukui, Shinya Onodera, Junichi Ishizaki and Toshiyuki Hashida
Numerical modeling for geothermal reservoir engineering is a crucial process to evaluate the performance of the reservoir and to develop strategies for the future development. The governing equations in the geothermal reservoir models consist of several ...
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Phuong Hoa Hoang, Hoang Nam Phan, Duy Thao Nguyen and Fabrizio Paolacci
Uncertainty quantification is an important issue in the seismic fragility analysis of bridge type structures. However, the influence of different sources of uncertainty on the seismic fragility of the system is commonly overlooked due to the costly re-ev...
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Jin Hun Park, Pavel Pereslavtsev, Alexandre Konobeev and Christian Wegmann
For the stable and self-sufficient functioning of the DEMO fusion reactor, one of the most important parameters that must be demonstrated is the Tritium Breeding Ratio (TBR). The reliable assessment of the TBR with safety margins is a matter of fusion re...
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Qiang Wang, Yunwen Pan, Kejun Yang and Ruihua Nie
The formation and reestablishment of bed structural properties in the static armor layer is an important research subject. To address this issue, we conducted a series of static armor layer experiments in a laboratory flume that focused on formation and ...
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Neil McIntyre, András Bárdossy
Pág. 1 - 15
The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate rainfall volumes through multiplying the volumes by random weights, which is repeated through multiple disaggregation levels. The model development involv...
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Neil McIntyre and András Bárdossy
The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate rainfall volumes through multiplying the volumes by random weights, which is repeated through multiple disaggregation levels. The model development involv...
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