Journal of Intelligent & Fuzzy Systems - Volume 38, issue 6

Authors: Liu, Xiaodong | Xie, Jinlu

Article Type: Research Article

Abstract: In the process of visual sorting, in order to solve the problem that the irregular contour target position is difficult to locate quickly and accurately, and it is difficult to realize the self-defined grab point, a method of target pose detection based on the contour center of gravity edge distance vector and local polar coordinates is proposed. Firstly, the target contour is determined by adaptive edge detection and the comparison of contour moments, and the larger distance direction from the contour center of gravity to the smallest outer rectangle is defined as the direction from the contour center of gravity …to the edge distance vector. The deflection angle of the target is determined by the vector direction and the position of the outer rectangle to detect the deflection angle of the irregular workpiece. On this basis, judge whether the designated point is the relative center of gravity in the local polar coordinate system, and realize the intelligent positioning of the set point on the target by detecting the coordinates of the designated point in the center of gravity positioning. The experimental results show that the method is suitable for complex contour targets, and the positioning results are accurate and the positioning time is short, so it has high engineering application value. Show more

Keywords: Edge distance vector, declination detection, attitude detection, relative center, contour recognition, fixed point positioning

DOI: 10.3233/JIFS-179840

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7705-7714, 2020

Authors: Song, Yu

Article Type: Research Article

Abstract: Aiming at the problem that the current algorithm cannot effectively complete the optimal energy allocation in wireless sensor networks, a method of optimal energy allocation in wireless sensor networks based on a symmetric algorithm is proposed. The structural characteristics of wireless sensor networks are analyzed, and the constraints of sensor nodes are completed according to the structural characteristics of wireless sensor network nodes. The application scenarios of wireless sensor networks are described, the energy distribution of the network is analyzed, and an optimal energy allocation model is established. The energy consumption per unit time of wireless sensor networks is calculated …by the energy consumption of data collection and reception. Calculate the optimal routing hops and minimum transmit power in the model. Combined with the number of network keys, the optimal energy distribution of the wireless sensor network can be completed. Experimental results show that the algorithm is effective by testing the time and energy allocation efficiency of network optimization, and it also guarantees the security of wireless sensor network communication. Show more

Keywords: Symmetric algorithm, wireless sensor network, energy optimization, configuration

DOI: 10.3233/JIFS-179841

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7715-7724, 2020

Authors: Wang, Lei | Wu, Mengwei | Xu, Xueqi | Fan, Wenqi

Article Type: Research Article

Abstract: At present, manufacturing industry is obviously experiencing the rapid development of intelligent manufacturing on a global scale. To meet the needs in the new era, China has continuously been introducing new measures to develop smart manufacturing, and remarkable results have been achieved for the development of smart manufacturing. This paper first summarizes the diffusion model for applying intelligent manufacturing in manufacturing enterprises in Hangzhou. Secondly, the improved SIR model and Matlab software are used to analyze the impact of industrial policy accuracy on the proliferation of intelligent manufacturing applications. Finally based on the simulation results, it is found that the …policies play an important role in the diffusion of intelligent manufacturing applications. The good top-down design of the government is the prerequisite for the sound promotion of intelligent manufacturing technology application, but the accuracy of policies needs to be further strengthened to better promote the proliferation of smart manufacturing applications. Show more

Keywords: Intelligent manufacturing, industrial policies, technology diffusion

DOI: 10.3233/JIFS-179842

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7725-7732, 2020

Authors: Li, Kaiyong | Ma, Ying

Article Type: Research Article

Abstract: Most of the detail structure characteristic information of the texture image is lost due to the space variation during the automatic detection, which reduces the precision of auto detection and precise location. In order to solve the problem, a method based on the ambiguity resolution algorithm is proposed in this article. The background texture information was eliminated via the Gaussian filter and threshold value method to acquire initial rough edge of the defect area. In the stage of precision location, the modified Chan-Vcsc active contour model based on the fuzzy energy was introduced and the precision location for the defect …area was achieved via level set method using the rough edge as the initial curve of the model evolution. Experimental results show that the proposed method can achieve accurate and automatic localization of different types of defect areas, and has high computational efficiency. When the number of samples is 600, the positioning time is only 19 s. When the peak signal-to-noise ratio reaches 100 dB, the absolute error of this method is only 0.01%, the relative error is 0.04%, and the positioning accuracy is as high as 99.58%. Show more

Keywords: Ambiguity resolution algorithm, texture image, defect, automatic detection, precise location

DOI: 10.3233/JIFS-179843

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7733-7741, 2020

Authors: Zhang, Yuan | Zhang, Yanping | Zhang, Runmei

Article Type: Research Article

Abstract: Traditional artificial information processing and classification methods can not deal with large-scale information well, and there is a problem of low classification purity. In view of the above situation, a new text information classification method based on quadratic fuzzy clustering algorithm is proposed. Firstly, in the method, text preprocessing is carried out, including Chinese word segmentation and de stop words, then text feature selection is made, and vector space model is used to represent the text. Finally, based on the secondly fuzzy clustering algorithm, a classifier is constructed to achieve text information classification. The results show that: compared with the …traditional artificial information processing and classification method, when using the method based on the secondly fuzzy clustering algorithm for text information classification, the F value is more than 90%, and the average purity is higher, which shows that the classification performance of this method is better. Show more

Keywords: Preprocessing, text classification, feature selection, classifier

DOI: 10.3233/JIFS-179844

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7743-7754, 2020

Authors: Wu, Lingfang

Article Type: Research Article

Abstract: Aiming at the problem of high packet loss rate in the traditional 3D laser scanning data transmission system, a 3D laser scanning data transmission system based on fuzzy algorithm is designed. The operational amplifier is used as the analog front-end of ADC, and the high-performance controller is selected to meet the needs of system development. By programming the FPGA chip, the state control of the transmission module and the configuration of each chip are realized. The data is preprocessed by three-dimensional point cloud, the data information of control system is obtained according to fuzzy set and fuzzy rule reasoning, Gigabit …Ethernet is initialized, the data is transmitted through UDP user data protocol package, and the research on three-dimensional laser scanning data transmission system of liquefied gas railway tank car based on fuzzy algorithm is completed. The experimental results show that the designed system can effectively reduce the packet loss rate, the highest packet loss rate is only 22%, which makes up for the shortcomings of the traditional system, and is more suitable for the three-dimensional laser scanning data transmission of liquefied gas railway tank car. Show more

Keywords: Fuzzy algorithm, 3D laser scanning, data transmission system, design

DOI: 10.3233/JIFS-179845

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7755-7766, 2020

Authors: Xu, Ling

Article Type: Research Article

Abstract: In order to improve the evaluation score and accuracy of ceramic 3D printing sample data, a fuzzy algorithm based evaluation method of ceramic 3D printing sample data is proposed. The data of ceramic 3D printing samples were collected and preprocessed by fuzzy algorithm. The specific content of the evaluation index of 3D printing sample data is determined, and the evaluation system of 3D printing sample data is established. Fuzzy algorithm is used to determine the weight of data quality evaluation index of ceramic 3D printing samples. According to the steps of setting up the weight matrix of the evaluation index …of 3D printed ceramic sample data, the weight matrix of the evaluation index is established. Because there are many data sources of ceramic 3D printing samples, there may be data conflicting with the description of the same object. Under the background of fuzzy algorithm, the effective dimension of ceramic 3D printing sample data is established. According to the membership function of each evaluation index, the fuzzy set of 3D printing sample data of ceramics is established. Finally, the data evaluation process is designed to realize the data evaluation of ceramic 3D printing samples based on fuzzy algorithm. The experimental results show that the evaluation accuracy of the method is higher than 96%, and the scores of users and experts on the interior design scheme are above 80 points. Show more

Keywords: Fuzzy algorithm, ceramic material, 3D printing, sample data, data evaluation

DOI: 10.3233/JIFS-179846

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7767-7778, 2020

Authors: He, Zefang | Guo, Zixue | Lin, Peng | Song, Fengxuan

Article Type: Research Article

Abstract: With respect to multi-attribute decision making problem, in which attribute values are expressed in interval-valued intuitionistic fuzzy numbers, a decision making method based on fuzzy entropy and TOPSIS is presented. In this paper, the score value function and precision function of interval-valued intuitionistic fuzzy numbers are defined, and the attribute weight determination method based on improved fuzzy entropy is given. Then, by using the ranking method of interval-valued intuitionistic fuzzy numbers, the positive and negative ideal solutions of interval-valued intuitionistic fuzzy multiple attribute decision making problems are obtained. On this basis, an interval-valued intuitionistic fuzzy multi-attribute decision making method based …on TOPSIS is proposed. Finally, the method is applied to the evaluation of local government public finance expenditure performance and its effectiveness is illustrated by a numerical example. Show more

Keywords: Interval-valued intuitionistic fuzzy sets, multi-attribute decision making, TOPSIS method, improved fuzzy entropy

DOI: 10.3233/JIFS-179847

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7779-7785, 2020

Authors: Nie, Xiangtian | Fan, Tianyu | Wang, Bo | Wu, Han

Article Type: Research Article

Abstract: To ensure that the safety risk indicator system of the south-to-north water diversion project is both scientific and independent, an indicator optimization method based on correlation and sensitivity analysis is proposed. The 3D grey correlation degree among the indicators is obtained by maximum deviation. At the same time, the principal component analysis method is adopted to calculate risk sensitivity based on the preliminary analysis on the risk indicators. The correlation degree reflects whether it is possible for the connotation overlapping between the risk indicators, and the sensitivity reflects the indicators’ influence on the system. The purpose of the research is …to optimize the risk system through removing the less sensitive one of the two relatively correlated indicators, and the calculation results prove the effectiveness and feasibility of the method. Show more

Keywords: Operational safety, correlation degree, sensitivity, maximum deviation, indicator optimization

DOI: 10.3233/JIFS-179848

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7787-7793, 2020

Authors: Wang, Wei | Cai, Guanghui | Hu, Junjuan

Article Type: Research Article

Abstract: Through considering the volatility asymmetry in financial markets, we extend the threshold autoregressive conditional heteroskedasticity model to the general threshold autoregressive conditional heteroskedasticity model with asymmetry. The sufficient conditions for the existence of the stationary solution and the finiteness of the moments of the model are derived. The parameters and the threshold value of the model are estimated using the quasi-maximum likelihood method. The results of Monte Carlo simulation method show that the method performs well. By applying this method to the Shanghai daily return and volatility series with the significant leverage effect, we find that the asymmetric model with …general threshold better reflects the asymmetric fluctuation characteristics than the original model. Show more

Keywords: Volatility asymmetry, GARCH model, threshold value, maximum likelihood method, Monte Carlo simulation

DOI: 10.3233/JIFS-179849

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7795-7801, 2020