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

Authors: Bin, Zhang

Article Type: Research Article

Abstract: In the analysis of the dimension of economic development, the clustering method has a strong dependence on the selection of the central point. However, the random selection of the central point by the traditional K-means clustering method involves the most sensitive central point selection problem of the clustering method. In order to improve the economic development dimension analysis, this paper improves the initial center selection method based on the traditional K-means clustering method, so that the traditional K-means clustering method is no longer a random selection of initial center, and the problem of local optimal solution is also solved. At …the same time, the system operation reduces the number of clustering and iterations and improves the efficiency of the algorithm. In addition, this article uses an example to perform algorithm performance analysis. The results show that the proposed algorithm has certain effects and can provide theoretical reference for subsequent related research. Show more

Keywords: K-means clustering, nearest neighbor discrimination, economic development, regional economy, dimensional analysis

DOI: 10.3233/JIFS-179810

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7365-7375, 2020

Authors: Zhang, Hui

Article Type: Research Article

Abstract: From the current situation, it can be seen that there are certain deficiencies in the current models of spoken English analysis. In order to improve the English spoken analysis effect, this study builds an English spoken analysis model based on transfer learning and analyzes the performance of spoken English recognition. In order to make full use of the characteristics of speech feature modes to compensate for the shortcomings of single mode in speech recognition, this paper proposes a multimodal shared speech feature learning method, that is, multimodal shared speech feature learning method based on locality, sparsity, and identifiable typical correlation …analysis. The method introduces locality, sparsity and discriminability, and the method effectively improves the English spoken recognition effect to a certain extent. In addition, this paper designs a controlled experiment to analyze the performance of the system model. The research results show that the algorithm has certain effects and can be applied to practice. Show more

Keywords: Transfer learning, spoken English, speech recognition, system model, feature analysis

DOI: 10.3233/JIFS-179811

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7377-7387, 2020

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7389-7389, 2020

Authors: Sabir, Zulqurnain | Amin, Fazli | Pohl, Daniel | Guirao, Juan L.G.

Article Type: Research Article

Abstract: In this research study, an advance computational intelligence paradigm is used for solving second order Emden-Fowler system (EFS) based on artificial neural network, genetic algorithm (GA) which is a famous global search method, sequential quadratic programming (SQP) known as rapid local refinement and the hybrid of GA-SQP. The proficiency of the designed scheme is inspected by solving the three examples of EFS to check the efficiency, consistency, precision and exactness of the technique. The numerical outcomes of the purposed scheme are compared with the exact solution that shows the significance of the scheme based on accuracy, correctness and convergence. Moreover, …statistical explorations have been executed to verify the precision and accuracy of the outcomes based on performance measures of mean absolute deviation, root mean squared error and variance account for. Show more

Keywords: Emden-Fowler system, artificial neural network, genetic algorithm, sequential quadratic programming, statistical analysis

DOI: 10.3233/JIFS-179813

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7391-7406, 2020

Authors: Meng, Hua | Wang, Weixin

Article Type: Research Article

Abstract: The research on carbon footprint of steel energy supply chain plays an important role in energy conservation and emission reduction. Therefore, this article puts forward a definition method of carbon footprint of iron and steel energy supply chain based on correlation dispersion degree. Firstly, the definition of carbon footprint was given, and the carbon emission of iron and steel industry was calculated. On this basis, the influencing factors were analyzed quantitatively. Meanwhile, the carbon footprint data was processed based on carbon footprint accounting standards, including the carbon footprint data preprocessing, transformation and reduction. According to the preprocessing results, the computation …of carbon footprint was checked. Finally, the correlation dispersion degree of carbon footprints in the steel energy supply chain was analyzed, so as to achieve the definition of carbon footprints in the steel energy supply chain. In order to test the validity and feasibility of the proposed method, a simulation was carried out. Simulation results show that the result of the proposed method is close to the actual result, so that the proposed method can accurately get the influence of various factors on CO2 emissions of the steel industry, and thus to present some targeted measures to reduce the carbon emission of steel industry. Show more

Keywords: Carbon footprint, supply chain, data preprocessing, accounting

DOI: 10.3233/JIFS-179814

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7407-7416, 2020

Authors: Wang, Ping

Article Type: Research Article

Abstract: In order to improve the safety of building structure, the discrete element method is introduced to test the stability of building concrete structure. Taking reinforced concrete as the research object and using Mohr-Coulomb criterion as the concrete failure criterion, determine the stiffness coefficient, damping coefficient and time step of reinforced concrete. Simulation of failure modes of reinforced concrete beams under different shear-span ratios. Determining the collapse process of reinforced concrete structure under the action of strong earthquake El-Centro north-south wave, and testing the stability of reinforced concrete structure. The results show that at the moment of 3.25 s, the bottom spring …of the bottom column of the frame structure is damaged, and the upper end of the right column of the middle two layers is deformed and damaged. At this moment, the frame structure collapses. As the shear-span ratio increases, the failure mode of reinforced concrete beams evolves in the order of diagonal pressure, shear pressure and cable tension. Its shear strength is gradually weakened, and the proposed method can effectively simulate the stability of concrete structures under the action of earthquakes and collapse. Show more

Keywords: Discrete element method, buildings, concrete structure, failure criterion, collapse, stability detection

DOI: 10.3233/JIFS-179815

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7417-7426, 2020

Authors: La, Meixiang

Article Type: Research Article

Abstract: Sea-buckthorn, with high economic value, is one of the important tree species for windbreak, sand fixation and conservation of water and soil. Based on this, an equilibrium analysis method for ecological and economic benefits of sea-buckthorn was proposed. After analyzing the ecological function and economic value of sea-buckthorn, based on the system theory, the utilization benefit equilibrium model of sea-buckthorn was constructed from economy and ecology two dimensions. The equilibrium of sea-buckthorn utilization benefit in an evolutionary cycle was divided into low-level symbiosis, coordinated development, limit development and regeneration development four stages. In order to comprehensively reflect the overall situation …of sea-buckthorn utilization benefits, an index system including two major systems of social economy and ecological environment was designed, and 12 indicators in the ecological function and economic value analysis results of sea-buckthorn were selected to judge the interaction balance between economic benefits and ecological benefits. Taking Liaoning Province as the research object, the comprehensive economic and ecological benefits of sea-buckthorn utilization between 2004 and 2017 shows that during this period, the growth rate of ecological benefits was slower than that of economic benefits and had fluctuations. From the evolution curve of the equilibrium of utilization benefits, the sea-buckthorn in Liaoning Province is in the coordinated development stage, but the coupling degree has been increasing in recent years, indicating that the utilization benefits of sea-buckthorn in Liaoning Province may enter the limit development stage. According to the research results, this method can effectively analyze the balance of ecological and economic benefits of sea-buckthorn, which is conducive to the maximum value of sea-buckthorn. Show more

Keywords: System theory, liaoning province, index system, weight, entropy weight method

DOI: 10.3233/JIFS-179816

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7427-7436, 2020

Authors: Ren, Chang’an | Luo, Qingyun | Zhao, Jinguo | Huang, Yinzhen

Article Type: Research Article

Abstract: For the problem of slow scheduling speed and poor load balancing of agricultural information resource scheduling in the current cloud computing, an agricultural information resource scheduling algorithm based on firefly algorithm is proposed in this paper. In cloud computing, according to the idea of earliest completing resource scheduling and using the least cost, the agricultural information resource scheduling model with time constraint is constructed. The minimum completion time and scheduling cost of resource scheduling are determined and the objective function of resource scheduling is built. The chaos algorithm is used to optimize the firefly algorithm to solve the objective function …and improve the convergence speed of resource scheduling. Agricultural information resource scheduling is achieved according to the convergence results and by using Lagrangian relaxation function. Experimental results show that the proposed algorithm is faster in scheduling agricultural information resources and higher in load balancing. Show more

Keywords: Cloud computing, firefly algorithm, agricultural information, resource scheduling

DOI: 10.3233/JIFS-179817

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7437-7448, 2020

Authors: Yue, Guang | Pan, Yutian

Article Type: Research Article

Abstract: As the large error and low efficiency of manual tillage, tractor tillage has become the focus of the current research. However, tractor driving requires a lot of manpower and time. Therefore, the overall efficiency of agricultural tillage is reduced. To address this problem, an intelligent control system of agricultural unmanned tractor tillage trajectory based on machine vision is proposed in this paper. First, the hardware of the automatic control system of agricultural unmanned tractor is designed. Then the intelligent control algorithm is proposed to realize the software design, and the image of tractor tillage environment is processed. Finally, the adaptive …path tracking algorithm is applied to realize the adaptive tracking of the agricultural unmanned tractor tillage trajectory, so as to realize the trajectory control. Experimental results show that the designed system can accurately track and control the agricultural unmanned tractor tillage trajectory and improve tractor operation efficiency. Show more

Keywords: Machine vision, unmanned, agricultural tractor, intelligent control algorithm

DOI: 10.3233/JIFS-179818

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7449-7459, 2020

Authors: Huang, Xiangrong | Xie, Ruhe | Huang, Lijuan

Article Type: Research Article

Abstract: To solve the problems of the traditional cold chain logistics management mode of agricultural products, such as loose circulation, inaccurate information transmission, untimely processing, serious loss of fresh agricultural products, a real-time and accurate management of cold chain logistics is established to study the real-time emergency management mode of cold chain logistics for agricultural products under the background of “Internet+”. Method: Under the background of “Internet+”, the e-commerce platform and the cold chain logistics network are combined, and the physical real-time emergency management mode of the cold chain of agricultural products is divided into the sub-mode of “production warehouse+cold chain”, …the sub-mode of “e-commerce+cold chain express+smart cabinet” and the sub-mode of “cold chain storage+chain new retail”; through the circulation efficiency improvement algorithm of cold logistics supply chain, the circulation loss between nodes is reduced, to improve the circulation efficiency of the supply chain; The evaluation method of real-time emergency management mode for cold chain logistics, the entropy weight method and the analytic hierarchy process are selected to jointly determine the weight, and the fuzzy comprehensive evaluation method is used to comprehensively evaluate the emergency management effect of cold chain logistics for agricultural product. Results: The final score of the performance evaluation in enterprise SX’s fresh agricultural product supply chain using the emergency management mode is 69.52 points, and the efficiency value of cold product logistics management in the enterprise C is 0.536. Conclusion: The real-time emergency management mode of cold chain logistics of agricultural products studied has certain feasibility, which can accurately analyze the advantages and disadvantages of cold chain logistics management of different enterprises. Show more

Keywords: Internet+, agricultural products, cold chain logistics, management mode, supply chain

DOI: 10.3233/JIFS-179819

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7461-7473, 2020