The shortest transportation route is an important and basic problem in the military transportation. Currently, there are several methods developed to solve this problem, for example, the replace algorithm, Dijkstra al...
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ISBN:
(纸本)9781424442461
The shortest transportation route is an important and basic problem in the military transportation. Currently, there are several methods developed to solve this problem, for example, the replace algorithm, Dijkstra algorithm, linear programming algorithm, etc.. This paper proposes a new method to the shortest route problem - simulation algorithm of Petri network. This method defines the operation rule and step of the simulation device of Petri net on the basis of general Petri network. It changes the undirectional transportation network into EPN model automatically with the simulation device of Petri net, while describes the elements of the network. Meanwhile, 'Place time' is used to replace the arc length to perform the simulation operation and numerical processing of the simulation target system of the network. It calculates the corresponding shortest route and length automatically. This method is more vivid, more intuitionistic and faster than the existing methods, it is a more practical method and means.
The adaptive simulation algorithm (ASA) based on stiffness recognition is an effective and applicable simulation method. In this paper, a principle of the said method is briefly introduced and more importance is stres...
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The adaptive simulation algorithm (ASA) based on stiffness recognition is an effective and applicable simulation method. In this paper, a principle of the said method is briefly introduced and more importance is stressed in studying the value of its application by realizing it in MMS.
This paper introduces the concept of simulation algorithm and its application, analyzes the importance of current financial analysis, and establishes the relevant model to analyze and apply the current financial produ...
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This paper introduces the concept of simulation algorithm and its application, analyzes the importance of current financial analysis, and establishes the relevant model to analyze and apply the current financial products. Since the traditional simulation algorithm is not targeted, the simulation algorithm in this paper is effective to change, and then in line with today's financial products. This article is mainly an effective analysis of the value of the stock in the financial product and the value of the securities, so that the portfolio of investment groups that can assist in the investment can be selected.
With the development of 3D technology, the construction of 3D motion model has become an important research issue in many fields, such as virtual reality, animation and robot vision. In this paper, a 3D motion model c...
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With the development of 3D technology, the construction of 3D motion model has become an important research issue in many fields, such as virtual reality, animation and robot vision. In this paper, a 3D motion model construction method based on simulation algorithm is proposed. Firstly, the gravity simulation algorithm is used to simulate the trajectory of the object, and the position data of multiple moments with numerical accuracy of 10cm are obtained. Then, the interpolation algorithm is used to interpolate these position data into continuous curves, and the object trajectory with 1cm accuracy is obtained. Finally, we integrate the obtained trajectory data with 3D modeling software to generate a 3D motion model with real motion effect. The experimental results show that this method has high accuracy and reliability in constructing 3D motion model, and is suitable for many fields.
As a new logistics technology, self-driving electric vehicles not only improve freight efficiency but also promote energy saving and emissions reductions. Aiming at logistics technologies based on self-driving electri...
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As a new logistics technology, self-driving electric vehicles not only improve freight efficiency but also promote energy saving and emissions reductions. Aiming at logistics technologies based on self-driving electric vehicles, planning the vehicle scheduling scheme as a whole reduces energy consumption and improves economic and environmental benefits. Targeting an actual freight problem based on a two-way single-lane road connecting the pickup and delivery points and including electric charging stations, this paper proposes a method for optimizing the scheduling scenario and parameters of self-driving vehicles through computer simulations. An optimization model based on dynamic programming is established, and an optimization simulation algorithm is designed to solve the model, effectively solving the overall planning problem of vehicle scheduling. The experimental results show that the model and algorithm have good universality. After specifying an appropriate road length, total number of vehicles, number of spare vehicle batteries, duration of freight transportation, and other necessary information, the simulation algorithm is executed and the optimal scheduling scheme and the total amount of freight transported are output. The efficiency of the algorithm is extremely high, requiring only 1.5 s to complete the whole simulation process of scheduling 150 vehicles for 1000 h over a road with a length of 10 km.
One of the chief works for inspecting spot weld quality by X-ray to obtain an ideal and uniform digital image. This paper introduces three methods of image background simulation algorithm, and' the effect of backg...
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One of the chief works for inspecting spot weld quality by X-ray to obtain an ideal and uniform digital image. This paper introduces three methods of image background simulation algorithm, and' the effect of background correction was compared. It may be safely said that Kalman filter method is simple and fast for general image; the FFT method has a good adaptability for background simulation.
The shortest transportation route is an important and basic problem in the military ***, there are several methods developed to solve this problem,for example,the replace algorithm,Dijkstra algorithm,linear programmin...
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The shortest transportation route is an important and basic problem in the military ***, there are several methods developed to solve this problem,for example,the replace algorithm,Dijkstra algorithm,linear programming algorithm,etc..This paper proposes a new method to the shortest route problem–simulation algorithm of Petri *** method defines the operation rule and step of the simulation device of Petri net on the basis of general Petri *** changes the undirectional transportation network into EPN model automatically with the simulation device of Petri net,while describes the elements of the network. Meanwhile,‘place time’is used to replace the arc length to perform the simulation operation and numerical processing of the simulation target system of the *** calculates the corresponding shortest route and length *** method is more vivid,more intuitionistic and faster than the existing methods,it is a more practical method and means.
The research situation of methods about the logistics strategy optimization and simulation modeling was introduced. The optimization and control strategy of multi-level inventory were discussed to deal with uncertain ...
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The research situation of methods about the logistics strategy optimization and simulation modeling was introduced. The optimization and control strategy of multi-level inventory were discussed to deal with uncertain factor which affect multi-level inventory management. The simulation algorithm of system was designed using discrete event simulation method.
Nuclear Magnetic Resonance (NMR) provides noninvasive detection for molecular information. Recently, intermolecular Multiple Quantum Coherences (iMQCs) was proved to be a promising NMR method to get high-resolution in...
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Nuclear Magnetic Resonance (NMR) provides noninvasive detection for molecular information. Recently, intermolecular Multiple Quantum Coherences (iMQCs) was proved to be a promising NMR method to get high-resolution in vivo magnetic resonance spectroscopy (MRS) under inhomogeneous field. The simulation of NMR plays an important role in predicting the result of a complex experiment, developing new NMR experiments, etc. However, in the simulation of iMQC-MRS, there is obstacle of combining scalar couplings with the classic formalism. This paper introduces an iMQC simulation algorithm based on the combination of product operator matrix (POM) and nonlinear Bloch equation, and its applications in developing high-resolution spectroscopy with solvent suppression and region-localized in vivo molecular spectroscopy.
In order to achieve attitude control of the six degrees of freedom steward dynamic platform, as well as the real time simulation cockpit attitude, Washout Filtering method was adopted in this paper as the simulation a...
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In order to achieve attitude control of the six degrees of freedom steward dynamic platform, as well as the real time simulation cockpit attitude, Washout Filtering method was adopted in this paper as the simulation algorithm to derive Washout Fiher high-pass, low-pass filter transfer functions into a differential equation algorithm and longitudinal acceleration tilt strategy, pitching strategies etc. Experimental examples are used to verify correctness of the algorithm.
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