Journal of Intelligent & Fuzzy Systems - Volume 40, issue 4

Authors: Xiong, Shuiping

Article Type: Research Article

Abstract: In order to improve the modulation recognition algorithm effect of an optical communication system, an improved modulation recognition algorithm technology based on wavelet transform on the time-varying optical communication system is designed. Firstly, considering the time-varying effect of noise on the communication system, wavelet transform is introduced to pre-process the signal of the optical communication system, extracting the characteristic number of modulation recognition of optical communication system, and a classifier of modulation recognition is established by data mining technology to realize modulation recognition technology of optical communication system. Finally, several typical modulation modes of the optical communication system are tested …by simulated experiments. In this paper, several typical modulation modes are identified accurately, and real-time on-line analysis of modulation recognition is realized. In the optical communication system, the recognition accuracy of the modulation pattern is higher than other modulation recognition technologies, which has high practical application value. Show more

Keywords: Optical communication, time-varying characteristics, modulation recognition, pattern recognition

DOI: 10.3233/JIFS-189424

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5845-5852, 2021

Authors: Li, Chunya | Li, Yan

Article Type: Research Article

Abstract: This paper establishes a theoretical model of third-party mobile payment user satisfaction based on the ASCI model and proposes research hypotheses. Then, the questionnaire survey method is used to collect sample data and carry out reliability and validity test. After the test is passed, structural equation modeling (SEM) is used to verify the research model and hypothesis. Finally, the analysis concludes: perceived quality and perceived value will have a positive impact on user satisfaction; user expectations will affect user satisfaction through perceived quality and perceived value; the impact of perceived risk on user satisfaction is not obvious. Propose reasonable suggestions …for third-party mobile payment companies based on the research conclusions. Show more

Keywords: Third-party mobile payment, internet of things, structural equation model (SEM)

DOI: 10.3233/JIFS-189425

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5853-5861, 2021

Authors: Yi, Jing | Liu, Peiyu | Wang, Zhihao | Liu, Wenfeng

Article Type: Research Article

Abstract: In the study filed of rumor spreading, kill rumor or dispel rumor is very important in order to control rumor spreading and reduce the bad influence of the rumor. In the previous studies, rumor clarification is mostly finished by relying on external media or news reports instead of intervening and controlling from inside the network, which causes that the speed of rumor clarification is far lower than the speed of rumor spreading, and it is not ideal for the effect of rumor clarification. In this paper, a new Twin-SIR spreading model is proposed, in which, a rumor clarification node named …as “rumor dispeller” with the spreading ability is introduced. The rumor dispeller is involved in the spreading process of the model together with the rumor spreader to control the spreading of rumor and thus to achieve the purpose of clarifying rumor. At the same time, during the process of building the model, we also apply the traditional media as a spreading parameter to the spreading process of the model. We built the mean-field equation of the model and then implemented further analysis of the model on homogeneous networks and heterogeneous networks. Through experimental simulations, the “rumor dispeller” was found to have the ability to reduce the spread of rumor spreading, and that the selection of the initial “rumor dispeller” node can affect the effect of rumor spreading, and at the same time, the external media have an important influence on rumor clarification. These conclusions have a new function for guiding us to study the mechanism of rumor spreading. Show more

Keywords: Online social network, spreading model, rumor dispelling, twin-SIR model

DOI: 10.3233/JIFS-189426

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5863-5874, 2021

Authors: Lu, Zhengjie

Article Type: Research Article

Abstract: In this paper, a two-degree-of-freedom manipulator is taken as the research object, and the relevant dynamic model is established, the iterative learning controller is designed, and the trajectory tracking control of the manipulator is carried out by using the iterative learning control algorithm. Iterative learning control (ILC) has a better control effect on a two-degree-of-freedom manipulator with repetitive motion characteristics for its non-linear system. In the case of disturbance, a PD-type iterative learning control law is designed. With the increasing number of iterations of the system, the required correction interval is shortened by modifying the gain matrix in real time …in the interval, so as to accelerate the convergence speed. The simulation results show that the convergence speed of PD-type ILC is faster than that of P-type ILC, and the convergence effect of PD-type ILC with disturbance is better than that of traditional disturbance-type ILC. The industrial robot system is guaranteed to have good dynamic performance. Show more

Keywords: Two-degree-of-freedom manipulator, PD learning law, iterative learning algorithm

DOI: 10.3233/JIFS-189427

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5875-5882, 2021

Authors: Tseng, Tsui-Yuan | Luo, Qinglan

Article Type: Research Article

Abstract: With the development of science and technology and the continuous improvement of people’s living standards, the traditional staff quality evaluation can no longer meet the needs of production and life, and the BP neural network has also appeared many shortcomings in practical applications. This article mainly studies the company’s employee quality evaluation model based on BP neural network. This article first collects and preprocesses employees’ usual performance data, and then predicts their corresponding quality scores based on BP neural network. And use MATLAB software to simulate the constructed prediction model, and finally develop a complete set of employee performance data …prediction system based on this model, so as to achieve the purpose of employee quality evaluation. The experimental data in this paper shows that the average relative error of model training output tends to be stable. After the 40th iteration of training, the average relative error of model training can reach 0.0128. After the prediction model training was completed, 15 sets of verification samples were used to verify the model. The verification results found that the average relative error of the model converged, so the model did not overfit. Experimental results show that although BP neural network has two excellent functions of adaptive and nonlinear approximation, it can solve the complex nonlinear relationship between normal performance and overall performance. But BP neural network still has its own inevitable shortcomings in some aspects. For example the redundancy between the employee scoring sample data; the problem that the input variable dimensionality is too high, which leads to the low efficiency of the model; the fuzzy neural network is easy to fall into the local optimum and it is difficult to find the global optimum. Show more

Keywords: BP neural network, employee quality evaluation model, fuzzy system, fit state, model simulation

DOI: 10.3233/JIFS-189428

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5883-5892, 2021

Authors: Qian, Yu

Article Type: Research Article

Abstract: With the development of wireless sensor technology, more and more fields are applied to wireless sensor technology, and the design and implementation of the flight scene system are in it. The purpose of this study is to design and implement a flight visual simulation system using sensor technology and QAR data. The method of this study is to first establish the mathematical model of the aircraft and then calculate the aerodynamic force and torque of each part of the aircraft respectively to obtain the nonlinear dynamic model of the aircraft, and finally realize the whole simulation model on the MATLAB …platform. The results show that the main motion variables corresponding to the conjugate complex root (0.0530.287i) are the velocity and pitch angle of the aircraft, and they all change slowly and long period. The period is 21.9 seconds, and the frequency doubling time (LN2 / 0.053 + 0.287i) is 11.0 seconds, which meets the requirements of flight quality specification. It is concluded that the flight visual simulation system in this study can well describe the flight trajectory and observe the external scene. The simulation system uses computer graphics and image technology to realize real-time and accurate simulation and reproduction of the flight status and trajectory of the aircraft, which can provide an intuitive and convenient simulation analysis method for the exploration of new aerospace technology and engineering design. Show more

Keywords: Sensor technology, QAR data, flight visual system, simulation design

DOI: 10.3233/JIFS-189429

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5893-5903, 2021

Authors: Lang, Kun | Zhao, Yuxin

Article Type: Research Article

Abstract: In recent years, with the change of people’s living habits, food delivery has become more and more popular. Along with this is the rapid growth of takeaway distribution. It is significant to improve the accurate prediction of the take-out order quantity since it can reduce unnecessary losses for the merchants. The Cloud computing system is the main platform for processing massive data. Applying cloud computing resource scheduling to the forecasting of takeaway orders will greatly help merchants. The research purpose of this paper is to study the cloud computing resource scheduling based on improved ANN model takeaway order volume prediction. …This paper improves the ANN model and proposes a cloud computing resource scheduling method based on improved ANN model takeaway order volume prediction. An experimental test was performed to verify the reliability of the proposed method. The results of this study show that the proposed method can accurately predict takeaway orders and contributes to reasonable resource scheduling. Show more

Keywords: Improved ANN model, cloud computing, resource scheduling, takeaway order volume prediction

DOI: 10.3233/JIFS-189430

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5905-5915, 2021

Authors: Duan, Rongkai | Sun, Pu

Article Type: Research Article

Abstract: With the continuous innovation of science and technology, the mathematical modeling and analysis of bodily injury in the process of exercise have always been a hot and difficult point in the research field of scholars. Although there are many research results on the nonlinear classification of the basketball sports neural network model, usually only one model is used, which has certain defects. The combination forecasting model based on the ARIMA model and neural network based on LSTM can make up for this defect. In the process of the experiment, the most important is the construction of the combination model and …the acquisition of volunteer data in the process of the ball game. In this experiment, the ARIMA model is used as the linear part of the data, and LSTM neural network model is used to get the sequence of body injury. The results of the empirical study show that: it is reasonable to divide the injury of thigh and calf in the process of basketball sports, which is very consistent with the force point of the human body in the process of sports. The results of the two models predicting the average degree of bodily injury for many times are about 0.32 and 0.38 respectively, which are far less than 1. The execution time of the program for simultaneous prediction on the computer is about 1 minute, which is extremely effective. Show more

Keywords: Nonlinear classification, neural network, radial basis function, time-series model, basketball

DOI: 10.3233/JIFS-189431

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5917-5926, 2021

Authors: Lan, Zimian

Article Type: Research Article

Abstract: In this paper, we propose a new iterative learning control algorithm for sensor faults in nonlinear systems. The algorithm does not depend on the initial value of the system and is combined with the open-loop D-type iterative learning law. We design a period that shortens as the number of iterations increases. During this period, the controller corrects the state deviation, so that the system tracking error converges to the boundary unrelated to the initial state error, which is determined only by the system’s uncertainty and interference. Furthermore, based on the λ norm theory, the appropriate control gain is selected …to suppress the tracking error caused by the sensor fault, and the uniform convergence of the control algorithm and the boundedness of the error are proved. The simulation results of the speed control of the injection molding machine system verify the effectiveness of the algorithm. Show more

Keywords: Nonlinear system, iterative learning control, sensor fault, initial state error, λ norm

DOI: 10.3233/JIFS-189432

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5927-5934, 2021

Authors: Lin, Feiting

Article Type: Research Article

Abstract: The potato itself has high nutritional value, strong adaptability, long industrial chain and extremely stable yield. At the same time, due to the rich variety of processed products, the further improvement of China’s social and economic level is greatly strengthened. In February 2016, the Ministry of Agriculture issued guiding opinions on promoting the development of the potato industry, which took potato as the main food product for industrial development. The central government attaches great importance to the rapid development of the potato industry, but at the same time, it also exposes many problems, which affect the production and development of …the potato industry to a large extent. In order to change this problem, the relevant staff needs to strengthen the application of intelligent technology, so as to improve the level of potato production and processing and improve the competitive advantage of China’s potato industry. There are many types of research on the potato industry in China, but most of them focus on Cultivation and maintenance skills, and there is almost no research on market competition of agricultural products economic management based on the intelligent system. Based on the current situation of potato production in China, combined with the advantages of an intelligent system, this paper analyzes its competitive advantages and disadvantages from the perspective of economic management, and constructs the industrial competitiveness analysis model with the intelligent system as the core technology, and analyzes and discusses the adverse factors affecting the competitiveness. And from the perspective of international trade, the export competitiveness of China’s potato industry was analyzed. Finally, we collected Ximeng as the sample of this study and verified the core points of improving competitiveness from the research. In this paper, based on the intelligent system management of the potato planting industry on agricultural product economic management of market competition optimization research, to a certain extent, filled the domestic blank, has high research and promotion value. Show more

Keywords: Potato planting industry, intelligent system, agricultural product economic management, market competitiveness

DOI: 10.3233/JIFS-189433

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5935-5944, 2021