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Chapter and Conference Paper
Position and Speed Measurement Method for Segmented Long Primary Double-Sided Linear Motor Based on Polynomial Fitting
To obtain the accurate motor position and speed feedback information, this paper presents a new position and speed measurement method of segmented long primary double-sided linear motor (SLP-DSLM). Considering...
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Chapter and Conference Paper
A Method for Quickly Characteristic Parameters Identification of Segmented Long Primary Double-Sided Linear Induction Motor
In this paper, a method for quickly characteristic parameters identification of segmented long primary double-sided linear induction motor (LP-DSLIM) is proposed. First, considering the imbalance characteristi...
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Chapter and Conference Paper
Improvements Based on JWT and RBAC for Spring Security Framework
Authentication and authorization are the two aspects of Spring security system, and they are shortcomings. In this paper, we study the spring security mechanism and some improvements and optimizations based on...
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Chapter and Conference Paper
A Framework Analysis of Measuring the Index Node Considering Local and Global Networks
This paper proposes a solution using multi-index method to evaluate node importance locally and globally with adjusted parameters in the network by considering several evaluation indexes. Especially, it adhere...
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Chapter and Conference Paper
Microstructural Characteristics of Qinyu Landslide Slip Soil, NW China
Slip zones are closely related to landslides. The microstructural analysis of slip soil has become one of the important contents on landslide researches. Based on two slip zone profiles of Qinyu landslide, the...
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Chapter and Conference Paper
Real-Time Recombination Method of Complex 3D Tree Model Information on Visual Perception Preserving
For the rapid visualization of large-scale forest scene, this paper proposes a real-time recombination method of complex 3D tree model information. This method adopts visual attention model and the visual char...
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Chapter and Conference Paper
A Levinson Predictor Based Compensatory Fuzzy Neural Network and Its Application in Crude Oil Distillation Process Modeling
Levinson predictor based Compensatory fuzzy neural networks (LPCFNN), which can be trained by a back-propagation learning algorithm, is proposed as a modeling technique for crude oil distillation processes. Th...
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Chapter and Conference Paper
A Technological Parameter Optimization Approach in Crude Oil Distillation Process Based on Neural Network
Applying data analysis-based intellectual optimization approach to the industrial process optimization may improve the weakness of the mechanical model-based optimization method which is mostly based on the in...