simulation-based optimization methods can support decision-making in industrial Production Planning and Control (PPC) to include energy considerations as part of a multi-objective scheduling problem. In this paper, we...
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Droplet as the basic element of spray phenomenon, has drawn engineering researchers to investigate the characteristics. Spray cooling, spray painting and spray fuel combustion are only few that mentions the applicatio...
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The proceedings contain 119 papers. The topics discussed include: development and implementation of regulators based on artificial neural networks in the process of training specialists in automated control systems;th...
ISBN:
(纸本)9781728148106
The proceedings contain 119 papers. The topics discussed include: development and implementation of regulators based on artificial neural networks in the process of training specialists in automated control systems;the use of computer graphics in the study of the geometric modeling course;structuring information about the state of the cyber-physical system operator;virtualization of the behavior of structures from rubber-like and metal composites;the calculation and study of pipe operation of low-pressure circuit of heat recovery steam generators;using visualization in the educational process in the direction of environmental protection;acceleration of Monte Carlo simulation of electron transport;quality control of training in engineering and computer graphics;the problem of ensuring cross-border personal data transfer and methods for its solving;and mathematical and physical modeling cooling process for solid waste tire pyrolysis products.
Artificial Neural Networks (ANNs) are known for their ability to map nonlinear relations between inputs and outputs. This paper presents ANN-based kinematic modeling of a recently developed parallel manipulator. The m...
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ISBN:
(数字)9781665478540
ISBN:
(纸本)9781665478557
Artificial Neural Networks (ANNs) are known for their ability to map nonlinear relations between inputs and outputs. This paper presents ANN-based kinematic modeling of a recently developed parallel manipulator. The manipulator has 3 limbs of prismatic-universal-universal (3-PUU) structure. To avoid the computational complexity of solving the kinematics problem in real-time application, two artificial neural networks are trained to estimate the forward and inverse kinematics solutions. simulation results show that the developed ANNs have great prediction capabilities, providing accurate kinematic solution and can then be applied in the control design of the proposed manipulator.
The setting of material mechanical characteristic parameters in collision simulation has a great influence on the accuracy of simulation results. Taking the energy absorbing box as the research object, based on the in...
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Cu-graphene (Cu-G) hybrid nanointerconnects are promising alternative interconnect solutions for the development of future integrated circuit technology. However, the modeling and simulation of their high-frequency el...
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In order to solve the problem that the current technology software cannot meet the needs of basketball players, the investigator used simulation technology to investigated the simulated competitive thinking of the nat...
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ISBN:
(纸本)9781665438308
In order to solve the problem that the current technology software cannot meet the needs of basketball players, the investigator used simulation technology to investigated the simulated competitive thinking of the national basketball team, in which they emphasize the need for competitive thinking simulation and the cooperative development *** simulation sport thinking was summarized. There are advantages in many aspects, but traditional competitive thinking should still be the dominant training method." At the same time, the degree of similarity of the team’s competitive thinking model has different effects on team performance obvious to see. When the basketball team’s overall competitive thinking pattern is more similar, team performance is also more significant.
The article presents the results of the investigation of smart materials (electroactive polymers (EAPs)) using simulation testing of stiffness properties based on the trained two-layer neural network. EAPs were modele...
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Smart Growth is an urban design movement initiated by Environmental Protection Agency (EPA) in the United States (Smart Growth America, 2019). The regulations of Smart Growth control urban morphologies such as buildin...
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The focus of computer Science Education research has been innovation and increasing the learning experience. Knowledge has grown exponentially in all disciplines within computer science. Over the last decade, computer...
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ISBN:
(纸本)9781665458429
The focus of computer Science Education research has been innovation and increasing the learning experience. Knowledge has grown exponentially in all disciplines within computer science. Over the last decade, computer science education has been evolving from abstract subject matter to increased innovation. Studies show improved learning using automated and visual learning tools like simulations, virtualization, visualization, and video-like games. Recent research shows enhanced learning tools like visual automation, simulation, and video games are more beneficial than detrimental. This review will present some of the more innovative ways to give computer Science Education.
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