An Entropy-Based Approach to Real-Time Information Extraction for Industry 4.0

Trovati, Marcello; Zhang, Huaizhong; Ray, Jeffrey; Xu, Xiaolong

doi:10.1109/tii.2019.2962029

Cited by 16 publications

(3 citation statements)

References 20 publications

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“…In forestry, slope positions are divided into seven categories: upslope, mid-slope, downslope, valley, ridge, flat slope, and full slope. The uphill is the uppermost part of the mountain slope from below the ridge to the valley in the range of three equal parts [9]. The middle slope is the middle slope position in the third division.…”

Section: Overview Of the Study Areamentioning

confidence: 99%

Study of Extraction method Project of forestry slope position information based on hyperspectral remote sensing technology With Sustainability Requirements

Sun

Feng

Su³

et al. 2023

Preprint

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In order to solve the project problems of low accuracy of extraction of forestry information, small extraction area and incomplete extraction results in traditional methods, a forestry slope position information extraction method based on hyperspectral remote sensing technology was proposed here to select the study area and analyse its geographic profile. The data used in the study was Digital Elevation Model (DEM) raster data with a resolution of 25m, and the gradient information of the slope position was vaguely expressed. We calculated the fuzzy membership degree of the position to be inferred relative to each typical position in the type of slope position, and then synthesized the fuzzy membership degree of the position to be inferred relative to each typical position to obtain the gradient information of the slope position. Using hyperspectral remote sensing technology to identify forestry slope position, we matched the identified forestry slope position information, and finally extracted forestry slope position information based on statistical analysis technology. The experimental results showed that the forestry information extraction accuracy of the method in this paper is higher, the extraction area is larger and the extraction results are more comprehensive, indicating that our proposed method effectively improves the effect of forestry information extraction.

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Section: Overview Of the Study Areamentioning

confidence: 99%

Study of Extraction method Project of forestry slope position information based on hyperspectral remote sensing technology With Sustainability Requirements

Sun

Feng

Su³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The stochastic distribution control was presented for a class of non-Gaussian stochastic systems in the late 1990s (Wang, 1999), where the randomness of the system output can be controlled by adjusting the shape of the output probability density function (PDF). As an important research topic, stochastic distribution control inspires other topics such as the fault diagnosis in non-Gaussian systems (Guo and Wang, 2005; Yao et al, 2012), networked Direct Current (DC) motor control (Ren et al, 2015), probabilistic decoupling (Zhang et al, 2017), performance enhancement (Zhou et al, 2016), data-based identification (Zhang and Sepulveda, 2017), non-Gaussian filtering (Zhang and Yin, 2018; Zhao and Mili, 2017), operational control (Ding et al, 2012; Zhang and Hu, 2018), multi-path estimation (Cheng et al, 2018), industry 4.0 (Trovati et al, 2019), and so forth. In practice, tracking the given desired PDF is required in many process control and manufacturing processes, such as the quality control for paper-making (Wang, 1998).…”

Section: Introductionmentioning

confidence: 99%

Stochastic distribution tracking control for stochastic non-linear systems via probability density function vectorisation

Liu

Zhang

Yue

2021

Transactions of the Institute of Measurement and Control

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This paper presents a new control strategy for stochastic distribution shape tracking regarding non-Gaussian stochastic non-linear systems. The objective can be summarised as adjusting the probability density function (PDF) of the system output to any given desired distribution. In order to achieve this objective, the system output PDF has first been formulated analytically, which is time-variant. Then, the PDF vectorisation has been implemented to simplify the model description. Using the vector-based representation, the system identification and control design have been performed to achieve the PDF tracking. In practice, the PDF evolution is difficult to implement in real-time, thus a data-driven extension has also been discussed in this paper, where the vector-based model can be obtained using kernel density estimation (KDE) with the real-time data. Furthermore, the stability of the presented control design has been analysed, which is validated by a numerical example. As an extension, the multi-output stochastic systems have also been discussed for joint PDF tracking using the proposed algorithm, and the perspectives of advanced controller have been discussed. The main contribution of this paper is to propose: (1) a new sampling-based PDF transformation to reduce the modelling complexity, (2) a data-driven approach for online implementation without model pre-training, and (3) a feasible framework to integrate the existing control methods.

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“…In 2011, following the concept of "Industry 4.0" proposed by Germany [1], countries around the world came up with targeted policies. Such as, "Digitizing European Industry" in EU [2]."…”

Section: Introductionmentioning

confidence: 99%

Research on Complex Product Parts Matching by using Improved Taguchi Method

Pei

Tong

Yuan

et al. 2021

mech

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With the development of intelligent manufacturing, the key strategic of complex equipment is becoming more and more obvious. How to realize the assembly of complex products has become the focus of intelligent manufacturing. This paper puts forward the improved Taguchi method to dimension chains measures, by using different quality loss function to different dimension chains, the cores are the Nominal-is-best, non-core is measured with the improved Smaller-is-better to improve convergence perusal and increase matching rate; General adopt Smaller-is-better to enhance assembly accuracy, reduce interference fit and assembly cost. Then the dimension chains quantitative model of complicated product assembly by using the signal-to-noise ratio and different weights is built up. The model contains modeling assumption, the objective function and the matching model. And this model is regard as the fitness function of genetic algorithm. Finally, the feasibility and efficiency of the scheme are verified by the case study.

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An Entropy-Based Approach to Real-Time Information Extraction for Industry 4.0

Cited by 16 publications

References 20 publications

Study of Extraction method Project of forestry slope position information based on hyperspectral remote sensing technology With Sustainability Requirements

Study of Extraction method Project of forestry slope position information based on hyperspectral remote sensing technology With Sustainability Requirements

Stochastic distribution tracking control for stochastic non-linear systems via probability density function vectorisation

Research on Complex Product Parts Matching by using Improved Taguchi Method

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