Qualitative Knowledge Graph Model Construction Method of Transformer Maintenance

2020 ◽  
Author(s):  
Xia Changming ◽  
Yang Jianmei ◽  
Wang Dongqing ◽  
Shi Jiaoyang ◽  
Zheng Wensu ◽  
...  
Keyword(s):  
Graph Model ◽  
Construction Method ◽  
Model Construction ◽  
Knowledge Graph ◽  
Qualitative Knowledge ◽  
Transformer Maintenance

scholarly journals High-precision 3D real scene model construction method based on air-ground data combination

2020 ◽  
Vol 570 ◽  
pp. 042022
Author(s):  
Fei Yang ◽  
Chengrong Ma ◽  
Bowen Zhang ◽  
Xuannan Chen ◽  
Li Cao ◽  
...  
Keyword(s):  
High Precision ◽  
Construction Method ◽  
Model Construction ◽  
Data Combination ◽  
Real Scene

scholarly journals Research on Automatic Construction Method of Three-Dimensional Complex Fault Model

Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 893
Author(s):  
Chi Zhang ◽  
Xiaolin Hou ◽  
Mao Pan ◽  
Zhaoliang Li
Keyword(s):  
Three Dimensional ◽  
Geological Structure ◽  
Fault Model ◽  
Construction Method ◽  
Model Construction ◽  
Automatic Construction ◽  
Complex Fault ◽  
Resource Exploration ◽  
Fault Structures ◽  
Manual Interaction

Three-dimensional complex fault modeling is an important research topic in three-dimensional geological structure modeling. The automatic construction of complex fault models has research significance and application value for basic geological theories, as well as engineering fields such as geological engineering, resource exploration, and digital mines. Complex fault structures, especially complex fault networks with multilevel branches, still require a large amount of manual participation in the characterization of fault transfer relationships. This paper proposes an automatic construction method for a three-dimensional complex fault model, including the generation and optimization of fault surfaces, automatic determination of the contact relationship between fault surfaces, and recording of the model. This method realizes the automatic construction of a three-dimensional complex fault model, reduces the manual interaction in model construction, improves the automation of fault model construction, and saves manual modeling time.

A domain knowledge graph construction method based on Wikipedia

2020 ◽  
pp. 016555152093251
Author(s):  
Haoze Yu ◽  
Haisheng Li ◽  
Dianhui Mao ◽  
Qiang Cai
Keyword(s):  
Domain Knowledge ◽  
Multiple Scale ◽  
Construction Method ◽  
Knowledge Graph ◽  
Relationship Extraction ◽  
Proposed Model ◽  
Extraction Algorithm ◽  
Structured Knowledge ◽  
Extraction Model ◽  
Domain Independent

In order to achieve real-time updating of the domain knowledge graph and improve the relationship extraction ability in the construction process, a domain knowledge graph construction method is proposed. Based on the structured knowledge in Wikipedia’s classification system, we acquire concepts and instances contained in subject areas. A relationship extraction algorithm based on co-word analysis is intended to extract the classification relationships in semi-structured open labels. A Bi-GRU remote supervised relationship extraction model based on a multiple-scale attention mechanism and an improved cross-entropy loss function is proposed to obtain the non-classification relationships of concepts in unstructured texts. Experiments show that the proposed model performs better than the existing methods. Based on the obtained concepts, instances and relationships, a domain knowledge graph is constructed and the domain-independent nodes and relationships contained in them are removed through a vector variance algorithm. The effectiveness of the proposed method is verified by constructing a food domain knowledge graph based on Wikipedia.

Switching Fuzzy Model Construction and Controller Design for Dynamical Systems with Input Nonlinearity

2008 ◽  
Vol 12 (6) ◽  
pp. 537-545 ◽  
Author(s):  
Hiroshi Ohtake ◽  
◽  
Kazuo Tanaka
Keyword(s):  
Dynamical Systems ◽  
State Feedback ◽  
Controller Design ◽  
Fuzzy Model ◽  
Construction Method ◽  
Model Construction ◽  
Dynamic State ◽  
Membership Functions ◽  
Input Nonlinearity ◽  
Control Approach

Fuzzy model-based control mainly deals with dynamical systems which affinely depend on control inputs. In this paper, dynamical systems which is permitted to have nonlinearity not only in the states, but also in the inputs is considered. Input nonlinearity makes a nonlinear system complicated and makes the number of fuzzy model rules increase. Thus, switching fuzzy control approach is employed. Firstly, the switching fuzzy model construction with arbitrary linear dividing planes, which is an extension of the ordinary switching fuzzy model construction method with dividing planes corresponding to quadrants, is introduced. Secondly, by applying the switching fuzzy model construction method to the dynamical system with input nonlinearity, the switching fuzzy model with membership functions which depend on control inputs is constructed. Finally, by utilizing the dynamic state feedback control approach, we show that membership functions which depend on control inputs can be calculated. Moreover, by employing augmented system approach, the switching fuzzy dynamic state feedback controller design conditions based on the switching Lyapunov function are derived in terms of linear matrix inequalities. A design example illustrates the utility of this approach.

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