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Articles 7801 - 7830 of 27508
Full-Text Articles in Engineering
Mechanism Of Coal Fine-Bubble Coupling In The Unsaturated Flow Stage Of Coalbed Methane Drainage, Han Wenlong, Li Yong, Chen Xiangsheng, Zhuo Qiming, Wang Yanbin
Mechanism Of Coal Fine-Bubble Coupling In The Unsaturated Flow Stage Of Coalbed Methane Drainage, Han Wenlong, Li Yong, Chen Xiangsheng, Zhuo Qiming, Wang Yanbin
Coal Geology & Exploration
To reveal the mechanism of interaction between coal fines and gas in the unsaturated flow stage of coalbed methane (CBM) drainage, it is essential to formulate the drainage system and improve the gas production. The effect of air bubbles with different diameters on coal fines with different particle sizes and densities was systematically experimented through the experiment device for microscopic interaction between the air bubble and the coal fines. Meanwhile, the influence of air bubbles on the migration trajectory and velocity of coal fines and the characteristics of coal fine capturing by air bubbles were also analyzed. The results show …
Optimization Of Cemented Filling Material Ratio Based On Rsm-Bbd Method And Engineering Application, Wang Shushuai, Xu Bin, Li Yang, Yang Zhen
Optimization Of Cemented Filling Material Ratio Based On Rsm-Bbd Method And Engineering Application, Wang Shushuai, Xu Bin, Li Yang, Yang Zhen
Coal Geology & Exploration
In view of the problems of large stacking of solid waste caused by roof caving method in coal seam mining and imbalance between mining and filling in long-wall cemented backfilling, the No.31 ming area of Chahasu Coal Mine in Inner Monogolia uses continuous mining and filling roadway cemented backfilling mining technology, adopting the “mining at intervals of three” mining method and the “three with high strength filling and one with low strength filling” filling mode. The filling material ratio has an important influence on the filling cost and effect. In order to solve the problems of high cement consumption and …
Mechanical Properties And Mechanism Of Co-Curing Saline Soil With Coal Solid Waste, Dong Chenxi, Wang Nianqin, Li Jiangshan, Chen Xin, Yan Xusheng, Ma Wei
Mechanical Properties And Mechanism Of Co-Curing Saline Soil With Coal Solid Waste, Dong Chenxi, Wang Nianqin, Li Jiangshan, Chen Xin, Yan Xusheng, Ma Wei
Coal Geology & Exploration
Under the research background of resource utilization of solid wastes in the arid and semiarid regions, a new curing material was developed with the coal wastes (such as the coal gangue (CG) and coal metakaolin (CMK)), the carbide slag (CS) that is a waste material readily available in the arid region, and the ordinary Portland cement (OPC). Besides, its mechanical properties and microscopic change mechanism in curing of saline soil in the arid and semi-arid regions were discussed. Based on the laboratory experiment, the unconfined compressive strength (UCS) characteristics of curing saline soil in different ages were studied by replacing …
Wavefield Separation Of P- And S-Waves Based On Modified Pseudo-Helmholtz Decomposition Operator In Transverse Isotropic Media, Liu Zhaoshun, Du Qizhen, Lyu Wenhao, Zhou Shihao, Fu Liyun
Wavefield Separation Of P- And S-Waves Based On Modified Pseudo-Helmholtz Decomposition Operator In Transverse Isotropic Media, Liu Zhaoshun, Du Qizhen, Lyu Wenhao, Zhou Shihao, Fu Liyun
Coal Geology & Exploration
The separation of P- and S-wave fields is a significant step in elastic reverse-time migration (ERTM), which can effectively eliminate the waveform crosstalk and image artifacts, thus improving the precision of imaging. In anisotropic media, nonstationary spatial filters or low-rank approximation methods are commonly used to separate the wavefields. However, the application of multiple Fourier transforms results in the high computation costs of the above wavefield separation methods. Based on the idea of constructing the isotropic decoupling equations of P- and S- waves with the Helmholtz operator, a modified pseudo-Helmholtz decomposition operator was proposed to eliminate the amplitude distortion. Then, …
Forward Modeling Of Radio-Magnetotelluric Method Based On Julia Acceleration And Study On Effect Of Displacement Current, Mei Zhuxu, Yuan Yuan, Zhou Feng, Zhou Cong, Zhang Lincheng
Forward Modeling Of Radio-Magnetotelluric Method Based On Julia Acceleration And Study On Effect Of Displacement Current, Mei Zhuxu, Yuan Yuan, Zhou Feng, Zhou Cong, Zhang Lincheng
Coal Geology & Exploration
Radio-magnetotelluric method (RMT) is one of the important tools for shallow surface electromagnetic exploration. Since the exploration frequency band is 10‒300 kHz, the propagation of electromagnetic fields is greatly affected by the dielectric permittivity of the earth. The electromagnetic response calculated with traditional quasi-static conditions severely restricts the accuracy of RMT forward modeling and further affects the resolution of the inversion imaging. In response to this problem, a numerical simulation method of full-current RMT electromagnetic response based on Julia parallel acceleration was proposed. Then, the calculation of each frequency point was sent through the distributed computing in Julia to different …
One Surface Borehole With Multi-Usage Gas Drainage Key Technology For Abandoned Well And Its Application, Fu Junhui
Coal Geology & Exploration
Gas drainage from mining area could be realized through the reconstruction and reuse of abandoned surface gas wells in the coal mine area , which has multiple economic and environmental benefits such as ensuring the safe production of mining, the effective utilization of gas resources, and reducing the pressure of gas escape on the environment. In view of this purpose, the idea of “one surface borehole with multi-usage” gas drainage technology for abandoned wells was proposed based on the characteristics of the surface borehole and the abandoned wells in the mining area. By analyzing the conditions of the mining technology, …
New Understanding Of Coal Seam Distribution Law: Coal Accumulation Model Controlled By Paleoclimate Evolution, Hou Haihai, Chen Hongzhen, Shao Longyi, Pan Zizi
New Understanding Of Coal Seam Distribution Law: Coal Accumulation Model Controlled By Paleoclimate Evolution, Hou Haihai, Chen Hongzhen, Shao Longyi, Pan Zizi
Coal Geology & Exploration
It is very important for coal and coal-measure gas exploration to correctly understand the distribution law of coal seam and its main control factors in different coal accumulation models. Based on the review of the theories and models of paleogeographic coal control, coal accumulation in sequence stratigraphy, allochthonous coal accumulation and multiple coal accumulation theoretical system, a new coal accumulation model under the control of climatic revolution was proposed through the analyses of the Jurassic coal-bearing strata in the southern margin of Junggar Basin. The paleotemperature and paleohumidity during Badaowan Formation(coal accumulation period), Sangonghe Formation, Xishanyao Formation (coal accumulation period) …
A New Model Of Surface And Underground Integrated Three-Dimensional Prevention And Control Of Rock Burst In Binchang Mining Area, Wu Xueming, Ma Xiaohui, Lyu Dazhao, Zheng Kaige, Wang Dongjie
A New Model Of Surface And Underground Integrated Three-Dimensional Prevention And Control Of Rock Burst In Binchang Mining Area, Wu Xueming, Ma Xiaohui, Lyu Dazhao, Zheng Kaige, Wang Dongjie
Coal Geology & Exploration
With the continuous increase of coal mining intensity, the mine gradually moves to the deep, bringing about increasingly serious rock burst hazard. The deep rock burst mines often have one or more layers of hard and thick rock strata. These hard roofs are thick and strong integrity. When they suddenly rupture, they can release a large amount of elastic energies, which can easily to cause rock burst accidents and seriously restrict the safety of mine production. Herein, appropriate treatment measures were put forward for the special situation of deep burial depth of coal seam and general presence of many kinds …
Co2-Ecbm Simulation Study Considering Klinkenberg Factor State, Sa Zhanyou, Wu Jingbo, Yang Yongliang, Zhang Xin, Lu Shouqing, Liu Jie, Wang Hao
Co2-Ecbm Simulation Study Considering Klinkenberg Factor State, Sa Zhanyou, Wu Jingbo, Yang Yongliang, Zhang Xin, Lu Shouqing, Liu Jie, Wang Hao
Coal Geology & Exploration
In order to explore the role of Klinkenberg effect and Klinkenberg factor in different states in the process of CO2-Enhanced Coal Bed Methane (CO2-ECBM), the effects of Klinkenberg factor of zero, fixed Klinkenberg factor and dynamic Klinkenberg factor on CO2-ECBM were simulated and analyzed by COMSOL finite element software. The dynamic changes of CH4 and CO2 pressure with this factor were studied, and the CH4 gas production was compared with the engineering practice. The results show that the effective permeability of CH4 and CO2 increases slowly at first, then …
Study On The Time Law Of Water-Rock Interaction In Coal Mine Groundwater Reservoir, Zhang Kai, Liu Shuyu, Cao Zhiguo, Gao Ju, Chen Xiangyu, Yan Jiayu
Study On The Time Law Of Water-Rock Interaction In Coal Mine Groundwater Reservoir, Zhang Kai, Liu Shuyu, Cao Zhiguo, Gao Ju, Chen Xiangyu, Yan Jiayu
Coal Geology & Exploration
The retention time of mine water in the coal mine underground reservoir will affect the ion concentration of effluent, but the time law of water-rock interaction during operation of the reservoir is still unclear. In order to reveal the occurrence type and intensity of water-rock interaction in different operation stages of coal mine underground reservoir, two groups of static simulation tests of water-rock interaction were designed based on the test and analysis on-site samples, namely the fine sandstone-mine water (S-K) and mudstone-mine water (N-K). The types of water-rock interaction were analyzed from two aspects: the change of rock composition and …
Deformation Prediction Of Open-Pit Mine Slope Based On Abc-Grnn Combined Model, Ning Yongxiang, Cui Ximin, Cui Jianguo
Deformation Prediction Of Open-Pit Mine Slope Based On Abc-Grnn Combined Model, Ning Yongxiang, Cui Ximin, Cui Jianguo
Coal Geology & Exploration
Accurate prediction of slope deformation in open-pit mine is an important guarantee for effective disaster early warning of slope. The traditional slope deformation prediction method is unable to characterize and comprehensively analyze the effect of various factors on slope deformation. In view of this, the combined prediction model (ABC-GRNN) of an artificial bee colony algorithm (ABC) and the optimized generalized regression neural network (GRNN) was proposed for slope deformation in open-pit mine. In this prediction model, the following 5 factors affecting the slope deformation of open-pit mine are considered comprehensively: mining disturbance, rainfall, rainfall duration, temperature and humidity. Herein, the …
Influence Of Coal Mining Disturbance On Soil Physiochemical Properties And The Response Mechanism Of Microbial Community, Song Ziheng, Liu Gang, Sun Liping, Wang Fei, Guo Junting
Influence Of Coal Mining Disturbance On Soil Physiochemical Properties And The Response Mechanism Of Microbial Community, Song Ziheng, Liu Gang, Sun Liping, Wang Fei, Guo Junting
Coal Geology & Exploration
The ecological problems caused by coal mining in Yellow River Basin are becoming more serious. In order to explore the influence characteristics of coal mining disturbance on soil factors and microbial community in Yellow River Basin, and to clarify the differences in soil microbial communities between the marginal coal mining subsidence area and the unmined area, equidistant sampling was performed from the marginal subsidence area, the start point (HD), to the unmined area in the study area of Shangwan Mine in Inner Mongolia. Specifically, sampling points at 150 (D1), 300 (D2), 450 (D3), 600 (D4) and 750 m (D5) from …
Feasibility Study Of Nature Source In-Seam Exploration, Hu Ze’An, Cao Lingkai, Liu Qinjie, Ji Guangzhong, Xi Chaoqiang, Wu Rongxin
Feasibility Study Of Nature Source In-Seam Exploration, Hu Ze’An, Cao Lingkai, Liu Qinjie, Ji Guangzhong, Xi Chaoqiang, Wu Rongxin
Coal Geology & Exploration
The conventional explosive seismic sources are very tightly controlled in high-gas mine, and a novel non-explosive channel wave method is urgently needed as an alternative. Therefore through the theoretical analysis and numerical simulation experiments, we demostrated that the coal seam satisfied the geophysical conditions to develop the nature source in-seam wave. The time-domain numerical simulation experiment of the passive source channel wave was successfully realized by constructing the nature source in-seam wave model with three stochastic terms, including the stochastic spatial position, stochastic initial excitation time and stochastic amplitude of seismic source. We performed frequency dispersion spectrum calculation on the …
Inversion Of Self-Potential Data Based On Improved Sparrow Search Algorithm, Lang Jianxiang, Tang Hongzhi, Ai Hanbing
Inversion Of Self-Potential Data Based On Improved Sparrow Search Algorithm, Lang Jianxiang, Tang Hongzhi, Ai Hanbing
Coal Geology & Exploration
Self-potential (SP) method is a natural source geophysical prospecting technology with low cost and simple operation for field observation. Generally, the inversion of SP data has the characteristics of ill-posedness and non-linearity. The conventional inversion algorithms are classified into the types of local optimization and global search. However, it is hard for the gradient-based local optimization algorithm to obtain the global optimal solution, and the inversion results are dependent on the construction of initial model. The traditional global search algorithm has the disadvantages of low convergence rate, insufficient ability of escaping local minima and instability. Thus, a new global optimization …
Development Of Storage Equipment Of Continuous Cable Pipe For Borehole Rescue, Gao Ke, Niu Xin, Zhao Yan, Qin Xiaolin, Lyu Xiaoshu, Xie Xiaobo
Development Of Storage Equipment Of Continuous Cable Pipe For Borehole Rescue, Gao Ke, Niu Xin, Zhao Yan, Qin Xiaolin, Lyu Xiaoshu, Xie Xiaobo
Coal Geology & Exploration
The double-bit bionic self-balancing continuous drilling technology has the advantages including requiring no drilling rig, high drilling speed and slight disturbance to the borehole wall. It is one of the key potential technologies for constructing the security and rescue passages against mine disasters. In this technology, as there are passages for power supply, signal, chip removal and other aspects that are built in the continuous cable pipe, it is required that there shall be no such interference, extrusion or arrangement of dynamic/static conductive electric conduction link as in using the existing drum hoist to store continuous pipes during storage. Therefore, …
A Fault Diagnosis Method Of Rescue Lifting Vehicle Based On Spectral Clustering, Li Lijing, Chang Dashuai, Li Lei, Chai Junfei
A Fault Diagnosis Method Of Rescue Lifting Vehicle Based On Spectral Clustering, Li Lijing, Chang Dashuai, Li Lei, Chai Junfei
Coal Geology & Exploration
In allusion to the characteristics of complex structure of rescue lifting vehicle, the poor independence of working condition and fault data, and the difficulty in fault diagnosis, we proposed a fault diagnosis algorithm of rescue lifting vehicle with the semi-supervised support vector machine in this paper. In the algorithm, the information on hidden features of the original fault data was mined with the idea of spectral clustering, to effectively distinguish the independent structural features of the fault information in the component system with different degrees of coupling. Firstly, a fault map was established based on the original input data. Then, …
Neutrosophic Mcdm Methodology For Assessment Risks Of Cyber Security In Power Management, Ahmed M. Abdelmouty, Ahmed Abdel-Monem
Neutrosophic Mcdm Methodology For Assessment Risks Of Cyber Security In Power Management, Ahmed M. Abdelmouty, Ahmed Abdel-Monem
Neutrosophic Systems with Applications
Every day, new reports of cyberattacks on interconnected control systems emerge. The vulnerability of their communication mechanism makes similar control systems a target for malicious outsiders. Protecting sensitive data and maintaining network reliability and availability are two of the main reasons why network security is so important. Strong and dependable network security strategies use a number of safeguards to protect users and businesses from malware and cyber assaults like distributed denial of service. A safety analysis is an essential step that must precede the introduction of any security measures. There hasn't been much experience with cyberattacks on power control systems …
Neutrosophic Mcdm Methodology For Assessment Risks Of Cyber Security In Power Management, Ahmed M. Abdelmouty, Ahmed Abdel-Monem
Neutrosophic Mcdm Methodology For Assessment Risks Of Cyber Security In Power Management, Ahmed M. Abdelmouty, Ahmed Abdel-Monem
Neutrosophic Systems with Applications
Every day, new reports of cyberattacks on interconnected control systems emerge. The vulnerability of their communication mechanism makes similar control systems a target for malicious outsiders. Protecting sensitive data and maintaining network reliability and availability are two of the main reasons why network security is so important. Strong and dependable network security strategies use a number of safeguards to protect users and businesses from malware and cyber assaults like distributed denial of service. A safety analysis is an essential step that must precede the introduction of any security measures. There hasn't been much experience with cyberattacks on power control systems …
Application Of Pinch Analysis For Energy Saving And Reducing Gas Emissions Based On Mathematical Model In The Hydrocracking Unit, Badiea S. Babaqi
Application Of Pinch Analysis For Energy Saving And Reducing Gas Emissions Based On Mathematical Model In The Hydrocracking Unit, Badiea S. Babaqi
Hadhramout University Journal of Natural & Applied Sciences
Pinch analysis approach of the heat exchanger network in the hydrocracking unit was carried out to save the energy consumption and reduce the gas emissions simultaneously. This method based on mathematical model of the hydrocracking unit for a heat exchanger network using LINGO program to achieve the minimization of environmental impacts and the reduction of energy cost. The presented energy demands for the heat exchanger network are 20.38 MMBtu/hr and 26.52 MMBtu/hr for heating and cooling loads, respectively. The current analysis shows a huge opportunity in order to decrease energy consumption of the hydrocracking process at a minimum temperature difference …
Accurate Indoor Navigation System Based On Imu/Lp-Mm Integrated Method Using Kalman Filter Algorithm, Abdullah Mohammed Bahasan
Accurate Indoor Navigation System Based On Imu/Lp-Mm Integrated Method Using Kalman Filter Algorithm, Abdullah Mohammed Bahasan
Hadhramout University Journal of Natural & Applied Sciences
Abstract
The demand for navigation systems is rapidly increasing, especially in indoor environments which the signal of GPS is not available. Therefore the Inertial Measurement Unit (IMU) system is a suitable navigation system in such indoor environments. It usually consists of three accelerometers and three gyroscopes to determine position, velocity and attitude information, respectively, without need of any external source. But this type of navigation systems has errors growth with time due to accelerometers and gyroscopes drifts. This paper introduces indoor navigation system based on integrated IMU navigation system with proposed system called Landmarks Points-Map Matching (LP-MM) system using Kalman …
Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps), Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, Hayley Horn
Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps), Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, Hayley Horn
SMU Data Science Review
Today, there is an increased risk to data privacy and information security due to cyberattacks that compromise data reliability and accessibility. New machine learning models are needed to detect and prevent these cyberattacks. One application of these models is cybersecurity threat detection and prevention systems that can create a baseline of a network's traffic patterns to detect anomalies without needing pre-labeled data; thus, enabling the identification of abnormal network events as threats. This research explored algorithms that can help automate anomaly detection on an enterprise network using Canadian Institute for Cybersecurity data. This study demonstrates that Neural Networks with Bayesian …
Neutrosophic Model To Examine The Challenges Faced By Manufacturing Businesses In Adopting Green Supply Chain Practices And To Provide Potential Solutions, Zenat Mohamed, Mahmoud M. Ismail, Amal F. Abd El-Gawad
Neutrosophic Model To Examine The Challenges Faced By Manufacturing Businesses In Adopting Green Supply Chain Practices And To Provide Potential Solutions, Zenat Mohamed, Mahmoud M. Ismail, Amal F. Abd El-Gawad
Neutrosophic Systems with Applications
Several obstacles stand in the way of companies trying to adopt green supply-chain practices. The purpose of this research is to examine the challenges faced by the industrial industry in adopting green supply chain practices and to provide potential solutions. The information for this research was gathered via in-depth, personal conversations with manufacturing sector managers who are well-versed in green supply chain practices. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique was used in the evaluation phase to evaluate obstacles and assess efficient options for introducing green supply chain practices. The TOPSIS method is integrated …
Obstacle Avoidance And Simulation Of Carrier-Based Aircraft On The Deck Of Aircraft Carrier, Junxiao Xue, Xiangyan Kong, Bowei Dong, Hao Tao, Haiyang Guan, Lei Shi, Mingliang Xu
Obstacle Avoidance And Simulation Of Carrier-Based Aircraft On The Deck Of Aircraft Carrier, Junxiao Xue, Xiangyan Kong, Bowei Dong, Hao Tao, Haiyang Guan, Lei Shi, Mingliang Xu
Journal of System Simulation
Abstract: A predictive depth deterministic policy gradient (PDDPG) algorithm is proposed by combining the least squares method with deep deterministic policy gradient(DDPG) for the problems of strong randomness, poor real-time performance, and slow planning speed by obstacle avoidance on aircraft carrier deck. The short-term trajectory of dynamic obstacles on the deck is predicted by the least square method. DDPG is used to provide agents with the ability to learn and make decisions in continuous space by the short-term trajectory of dynamic obstacles. The reward function is set based on the artificial potential field to improve the convergence speed and accuracy …
Costume Pattern Sketch Colorization And Style Transfer Based On Neural Network, Xingquan Cai, Zhijun Li, Mengyao Xi, Haiyan Sun
Costume Pattern Sketch Colorization And Style Transfer Based On Neural Network, Xingquan Cai, Zhijun Li, Mengyao Xi, Haiyan Sun
Journal of System Simulation
Abstract: Aiming at the problems of color overflow in pattern sketch colorization and lack of fabric texture features in style transfer, this paper proposes a method of costume pattern sketch colorization and style transfer based on neural network. This paper initializes the data set, collects the costume pattern image, extracts the costume pattern sketch, synthesizes the costume pattern sketch with color features and constructs the style data set. The research builds the conditional generative adversarial nets and achieves the costume pattern sketch with color features colorization based on the generator. The study constructs a convolutional neural network model, uses the …
Flexible Job-Shop Scheduling Problem Based On Improved Wolf Pack Algorithm, Chaoyang Zhang, Liping Xu, Jian Li, Yihao Zhao, Kui He
Flexible Job-Shop Scheduling Problem Based On Improved Wolf Pack Algorithm, Chaoyang Zhang, Liping Xu, Jian Li, Yihao Zhao, Kui He
Journal of System Simulation
Abstract: An improved wolf pack algorithm is proposed for solving multi-objective scheduling optimization for flexible job shop problems. A multi-objective flexible job shop scheduling model is developed with the maximum completion time of the workpiece and the energy consumption of the machine as the optimization goals. An improved wolf pack algorithm is proposed for solving the shortcomings that traditional wolf pack algorithm is easy to fall into the local optimization. Through improving the intelligent behavior of the wolf pack algorithm, individual codes are designed from the two levels of job's process and machine, and POX(precedence operation crossover) cross operation is …
Calculation Of Optimal Vocs Emission Reduction Based On Improved Seirs Model In Cloud Environment, Guangqiu Huang, Xixuan Zhao, Qiuqin Lu
Calculation Of Optimal Vocs Emission Reduction Based On Improved Seirs Model In Cloud Environment, Guangqiu Huang, Xixuan Zhao, Qiuqin Lu
Journal of System Simulation
Abstract: Volatile organic compounds (VOCs) emissions in different regions are correlated and influenced. In order to minimize the impact of VOCs on the atmospheric environment and achieve synergistic governance of VOCs regions, an optimal emission reduction model is established with the maximum VOCs emission reduction as the primary goal. An improved SEIRS infectious disease dynamics optimization algorithm considering environmental pollution(SEIRS-CE) is proposed and the model is solved in cloud environment. Taking Xi'an city as an example, the SEIRS-CE algorithm is used in Ali cloud server to calculate the emission reduction of VOCs associated with 13 meteorological monitoring stations in Xi …
Learning-Based High-Performance Algorithm For Long-Term Motion Prediction Of Fluid Flows, Jingyuan Zhu, Huimin Ma, Jian Yuan
Learning-Based High-Performance Algorithm For Long-Term Motion Prediction Of Fluid Flows, Jingyuan Zhu, Huimin Ma, Jian Yuan
Journal of System Simulation
Abstract: Simulating the dynamics of fluid flows accurately and efficiently remains a challenging task nowadays, and traditional fluid simulation methods consume large computational resources to obtain accurate results. Deep learning methods have developed rapidly, which makes data-based fluid simulation and generation possible. In this paper, a motion prediction algorithm for long-term fluid simulation is proposed, which is based on a density field with a single frame and a previous velocity field of a sequence. The model focuses on matching the velocity and density fields predicted by the neural network with the simulated data based on the Navier-Stokes equation …
Hyper-Heuristic Three Dimensional Eda For Solving Green Two-Sided Assembly Line Balancing Problem, Rong Hu, Shuai Ding, Bin Qian, Changsheng Zhang
Hyper-Heuristic Three Dimensional Eda For Solving Green Two-Sided Assembly Line Balancing Problem, Rong Hu, Shuai Ding, Bin Qian, Changsheng Zhang
Journal of System Simulation
Abstract: This paper establishes a model for green robotic two-sided assembly line balancing problem of type-I, and a hyper-heuristic three dimensional estimation of distribution algorithm (HH3DEDA) is proposed for solving this problem. In HH3DEDA, a combinatorial encoding rule based on process selectors is designed via considering the characteristics of the problem. Then, HH3DEDA with a high and low layered structure is proposed. In the upper layer, the three-dimensional probability matrix is utilized to learn high-quality high individual block structure and its distribution information, and then the matrix is sampled to generate new high level individuals. Each high individual is …
Research On Modeling And Solution Method Of Operational Tasks Optimization, Yue Ma, Lin Wu, Yun Liu, Guangzhao Ding
Research On Modeling And Solution Method Of Operational Tasks Optimization, Yue Ma, Lin Wu, Yun Liu, Guangzhao Ding
Journal of System Simulation
Abstract: Aiming at the problem of tasks optimization in operation task planning, this paper defines an operational tasks graph based on property graph and influence network to describe tasks, effects and their relationship. The model of operational tasks optimization is constructed based on the operational tasks graph, and the effect network transmission algorithm and resource constraint judgment algorithm are proposed. The problem is solved by the improved differential evolution algorithm. The experimental result shows that the operational tasks graph can vividly describe the relationship between operational tasks and effects, and the model and solution method are feasible and effective.
Simulation On Cooperative Control Of Connected And Automated Vehicles At Interchange Based On Petri Net, Mingbao Pang, Zhen Liu
Simulation On Cooperative Control Of Connected And Automated Vehicles At Interchange Based On Petri Net, Mingbao Pang, Zhen Liu
Journal of System Simulation
Abstract: To improve the traffic efficiency of interchange, a simulation model of complete process is built by timed Petri net (TdPN) considering multiple separation and merging behaviors in the process of connected and automated vehicles (CAVs) passing through the interchange. In the light of vehicle priority, a speed guidance strategy is proposed and a CAVs cooperative control model is established, so as to form a complete interchange TdPN model. This method is verified by simulation and compared with the cooperative control method of interchange exit and its connecting area, cooperative control method of multi-merging areas within the interchange. The results …