Multi-scale Simulations of Dry Friction Using Network Simulation Method

Abstract:Complex Network Theory can analyze the reliability of high-speed passenger traffic networks and also evaluate node importance. This paper conducts a systematic and in-depth research of importance of various nodes in the high-speed passenger traffic network so as to improve the high-speed passenger traffic network level. To study importance of network nodes can contribute to an in-depth understanding of the network structure. Therefore, the complex network is introduced and the node importance is evaluated. The characteristics of the complex network are briefly analyzed. In order to study the highspeed passenger traffic nodes, the network restraint coefficient, the network scale, the efficiency, the grade level, the partial clustering coefficient of degree and structural hole. Besides, the algorithm to calculate node importance is designed. Through analysis of the high-speed passenger network, the accuracy and practicability of the Complex Network Theory in evaluating node importance are pointed out. It is also proved that Complex Network Theory can help optimize high-speed passenger traffic networks and improve traffic efficiency.

Section: Building Of the Evaluation Modelmentioning

confidence: 99%

Study on node importance evaluation of the high-speed passenger traffic complex network based on the Structural Hole Theory

Zhang

Chen

2017

“…The outer-layer improved particle swarm optimization algorithm was used to optimize the branch set combination, and the disconnection and closure of the branch set were determined according to the Sigmoid number; an inner-layer improved particle swarm optimization algorithm was proposed to optimize the ac-tual branch in the disconnected branch set, and the actual disconnected branch in the set was determined by the comparison method. The addition of distributed power in the network reconstruction reduced the network loss and improved the supporting for power voltage of node [14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Optimization design of reconfiguration algorithm for high voltage power distribution network based on ant colony algorithm

Zhang

Ashraf³

2018

Distribution network reconfiguration is a very complex and large-scale combinatorial optimization problem. In network reconfiguration, whether an effective solution can be obtained is a key issue. Aiming at the problems in network reconstruction by traditional algorithm, such as long time required, more times of power flow calculation and high network loss, a network optimization design algorithm based on improved ant colony algorithm for high voltage power distribution network is proposed. After analyzing the operating characteristics of the high voltage power distribution network, the network topology of the high voltage power distribution network is described by constructing a hierarchical variable-structure distribution network model. A mathematical model of distribution network reconstruction considering the opportunity constraint with the minimum network loss as the objective function is established. The power flow distribution is calculated by using the pre-push back-generation method combined with the hierarchical structure of the distribution network. The maximum and minimum ant colony algorithm is introduced to improve the pheromone updating method of the traditional ant colony algorithm, and the search range is expanded, so that the algorithm can jump out of the local optimization trap to realize the accurate solution of the power distribution network reconstruction model. The experimental results show that compared with the current network reconstruction algorithm, the proposed algorithm requires less time for convergence, less power flow calculation, and lower network loss.

“…In CSCL research practice, there are many excellent learning support platforms based on network environment. Web-based collaborative learning is an extension of the CSCL, which refers to the use of Internet network technology to support collaborative learning and is also called WebCL abroad [5]. In this sense, WebCL is a subset of CSCL.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy comprehensive evaluation model of interuniversity collaborative learning based on network

Wen-hui

Wang

2017

Abstract:Learning evaluation is an e ective method, which plays an important role in the network education evaluation system. But most of the current network learning evaluation methods still use traditional university education evaluation system, which do not take into account of web-based learning characteristics, and they are dicult to t the rapid development of interuniversity collaborative learning based on network. Fuzzy comprehensive evaluation method is used to evaluate interuniversity collaborative learning based on the combination of fuzzy theory and analytic hierarchy process. Analytic hierarchy process is used to determine the weight of evaluation factors of each layer and to carry out the consistency check. According to the fuzzy comprehensive evaluation method, we establish interuniversity collaborative learning evaluation mathematical model. The proposed scheme provides a new thought for interuniversity collaborative learning evaluation based on network.