Journal of Intelligent & Fuzzy Systems - Volume 40, issue 2

Authors: Mao, Jian | Liu, Jinming | Zhang, Jiemin | Han, Zhenzhong | Shi, Sen

Article Type: Research Article

Abstract: The unintentional electromagnetic (EM) emission of computer monitors may cause the leakage of image information displayed on the monitor. Detection of EM information leakage risk is significant for the information security of the monitor. The traditional detection method is to verify EM information leakage by reconstructing an image from EM emission. The detection method based on image reconstruction has limitations: adequate signal sampling rate, accurate synchronization signal, and dependence on operational experience. In this paper, we analyze the principle of image information leakage and propose an innovative detection method based on Convolutional Neural Network (CNN). This method can identify the …image information in EM emission to verify the EM information leakage risk of the monitor. It overcomes the limitations of the traditional method with machine learning. This is a new attempt in the field of EM information leakage detection. Experimental results show that it is more adaptable and reliable in complex detection environment. Show more

Keywords: Convolutional neural network, electromagnetic information leakage, image identification, information security, computer monitor

DOI: 10.3233/JIFS-189337

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2981-2991, 2021

Authors: He, Gongfei | Zhang, Bingyi | Feng, Guihong

Article Type: Research Article

Abstract: With the wide application of electric drive equipment and variable frequency load, the power supply system based on the DC grid has attracted much attention because of its high energy density and simple control, and the operation mode of rectifier AC synchronous generators operating in parallel is often adopted. The available topology structures of the rectifier permanent magnet (PM) generator sets are analyzed in this paper, the parallel operation principle of uncontrolled rectifier PM generator sets is analyzed in theory. The parallel operation characteristics of the generator sets are summarized when the voltage-stabilizing and power balanced measures are not taken, …and the influence factors of power balancing among parallel operation generators are analyzed. The power-balanced method of rectifier generator sets operating in parallel based on a master-slave control strategy is proposed, which can realize power balanced with the closed-loop control of the DC side output current. The simulation and experiment results show that the proposed method can realize the power balanced control of rectifier generator sets operating in parallel well. The output power of each generator set can be distributed according to capacity. The rationalization proposal of how to matching generators’ parameters in the power supply system of rectifier PM generator sets operating in parallel is given. Show more

Keywords: PM generator, uncontrolled rectifier, operating in parallel, power balanced control, mobile power supply

DOI: 10.3233/JIFS-189338

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2993-3003, 2021

Authors: Li, Xiaowen | Li, Jianwei | Liu, Cheng | Chen, Chuanbin

Article Type: Research Article

Abstract: The tailings dam safety monitoring system is a system that plays an important role in disaster prevention and reduction. This paper divides the whole network of mine dam safety monitoring systems into two parts, that is, the basic wireless network and GPRS network from the gateway to the monitoring center. First, it’s the hardware of the design module, the network is divided into uplink communication and downlink communication, uplink communication is to upload the dam data collected by the terminal node to the gateway through the network. Downlink communication is the instruction sent by the gateway to the monitoring center, …send to terminal nodes through data conversion between protocols. Secondly, the gateway also needs to solve the data conversion between the network and GPRS network protocol, so that the entire security monitoring system can communicate accurately. The communication between gateway and monitoring center is realized through the GPRS network, this requires adding the GPRS communication module to the gateway module. To increase the diversity of communications, communication between GSM short message communication methods and monitoring centers has also increased. The experimental results prove that the system in this paper can be applied to the mine dam safety monitoring system, meet the design requirements. Show more

Keywords: Internet of things, safety monitoring, wireless sensor networks, tailing dam

DOI: 10.3233/JIFS-189339

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3005-3014, 2021

Authors: Guan, Shuai

Article Type: Research Article

Abstract: With the continuous implementation of the Belt and Road Initiative of China, cross-border e-commerce is gradually becoming one of the main ways of trade. The smart operation of cross-border logistics has become an important factor affecting the quality of cross-border e-commerce transactions by its characteristics of high-efficiency, high-quality, and low-cost. As China’s first smart city in China with the theme of the aviation economy, the top priority for developing cross-border e-commerce in the Zhengzhou Airport Economic Zone is to construct cross-border e-commerce smart logistics. This paper expounds on the significance of applying big data technology on the construction of the …intelligent logistics, analyzing its important roles not only in further promoting the cross-border e-commerce development in the Zhengzhou Airport Economy Zone but also during the process of the entire national economic transformation and escalation. The smart logistics constructing strategy in the Zhengzhou Airport Economy Zone is expected to provide ideas and support for the Zhengzhou Airport Economy Zone making continuous improvement in leading and pushing the Henan regional economy to achieve sustainable development in the future. Show more

Keywords: Smart logistics construction, big data, cross-border e-commerce, the Zhengzhou airport economy zone

DOI: 10.3233/JIFS-189340

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3015-3023, 2021

Authors: Zheng, Haoxin | Huang, Minghui | Zhan, Lihua | Liu, Peiyao | Zhu, Ziqing

Article Type: Research Article

Abstract: The actuator is an important component of missiles and other aircraft to maintain the flight attitude. A method to calculate the power of the electric servo motor was proposed according to the load characteristics’ of both the servo motor and actuator. An optimization method for the transmission reduction ratio was obtained by considering the load torque equation. Dynamics simulations of the actuator were conducted under a variety of conditions. The simulation results show that the clearance and the friction between the ball screw and the fork, which consist of the transmission mechanism, induce the torque fluctuations, as a source of …noise in the motor load. According to the optimization design of the Electric, the Actuator prototype has passed the test, the performance meets the design requirements. Show more

Keywords: Actuator, dynamic simulation, load characteristics, friction, clearance

DOI: 10.3233/JIFS-189341

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3015-3023, 2021

Authors: Zhou, Jianheng | Xu, Rongfei

Article Type: Research Article

Abstract: In product sales with network externalities, a Stackelberg game model is established with a new product and an existing product in the market, investigating the influence of first-mover strategy and non-strategic pricing model on the pricing, market share, and profit of an enterprise. Furthermore, the influence of network externalities and transfer costs on the strategies of latecomers is studied. Finally, the market equilibrium is analyzed. The results show that under the strategic pricing, the first entrant grabs the market share with low price and low profit in the first stage, to obtain greater network externalities in the second stage, enhance …the competitiveness with latecomer, and make the total revenue greater. Given network externalities and transfer costs, the strategic behavior of the first entrant makes it harder for the later entrant to enter the market. Show more

Keywords: Network externalities, long-term pricing, transfer costs, strategic pricing, equilibrium analysis

DOI: 10.3233/JIFS-189342

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3035-3043, 2021

Authors: Zhou, Chengmin | Huang, Ting | Liang, Shuang

Article Type: Research Article

Abstract: Smart home products and equipment are relatively expensive while using specific physical objects to prove functional characteristics, the cost is high, and it is difficult to meet the personal needs of customers. Based on the above background, the purpose of this research is the application and design of a smart home R&D system based on virtual reality. This study proposes the concept of introducing virtual reality methods into the control scene given the shortcomings of the existing smart home control interface interaction methods. From the perspective of being more suitable for the user’s needs, the virtual reality method is used …to optimize the smart home interaction methods. Through the analysis of the user’s lifestyle and needs, the functional module model of applying virtual reality to the smart home control scheme is established. Then, by collecting data, use Sketchup software to build and optimize the model of the simulation system to build a realistic family scene model. Finally, through the integrated use of the Unity 3D rendering engine and the virtual simulation system technology, the intelligent simulation of the interior functions of the house is realized. Experimental results show that using virtual reality to optimize the interaction of smart homes, the control method is relatively simple, and the cost can be reduced by about 20%. Show more

Keywords: Smart home, virtual reality, 3d modeling, natural interaction

DOI: 10.3233/JIFS-189343

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3045-3054, 2021

Authors: Wang, Gang | Zhou, Jun

Article Type: Research Article

Abstract: With the development of science and technology, the intelligent robot has become an important tool in our production and life. It not only improves people’s living standards but also promotes economic development. At present, the related technology in the field of the intelligent robot has been developed rapidly, but at the same time, many technical problems have been exposed. The single path planning problem can be well solved, but the dynamic path planning of a robot is one of the current technical difficulties. At present, the genetic algorithm is the mainstream scheme, but its control accuracy is still lacking in …practical application. To solve this problem, this paper proposes a dynamic path planning scheme for intelligent robots based on a fuzzy neural network. The research of this paper is mainly divided into four parts. The first part is to analyze the current situation of technology research in this field and put forward the idea of this paper by analyzing the shortcomings of existing technologies. The second part is the research of related basic theory, which deeply studies the core theory of intelligent robot and dynamic path planning, which provides a theoretical basis for the later model implementation. The third part is the design and implementation of dynamic path planning based on a fuzzy neural network. This paper gives the design principle and specific improvement method in detail. At the end of the paper, that is, the fourth part, through comparative analysis experiments, further proves the superiority of the fuzzy neural network algorithm. Compared with the traditional particle swarm optimization algorithm, it can significantly improve the control accuracy and robustness of the model. Show more

Keywords: Neural networks, fuzzy theory, intelligent systems, intelligent robot

DOI: 10.3233/JIFS-189344

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3055-3063, 2021

Authors: Ren, Yanhong | Chen, Bo | Li, Aizeng

Article Type: Research Article

Abstract: Action is the key to sports and the core factor of standardization, quantification, and comprehensive evaluation. However, in the actual competition training, the occurrence of sports activities is often fleeting, and it is difficult for human eyes to identify quickly and accurately. There are many existing quantitative analysis methods of sports movements, but because there are many complex factors in the actual scene, the effect is not ideal. How to improve the accuracy of the model is the key to current research, but also the core problem to be solved. To solve this problem, this paper puts forward an intelligent …system of sports movement quantitative analysis based on deep learning method. The method in this paper is firstly to construct the fuzzy theory human body feature method, through which the influencing factors in the quantitative analysis of movement can be distinguished, and the effective classification can be carried out to eliminate irrelevantly and simplify the core elements. Through the method of human body characteristics based on fuzzy theory, an intelligent system of deep learning quantitative analysis is established, which optimizes the algorithm and combines many modern technologies including DBN architecture. Finally, the accuracy of the method is improved by sports action detection, figure contour extraction, DBN architecture setting, and normalized sports action recognition and quantification. To verify the effect of this model, this paper established a performance comparison experiment based on the traditional method and this method. The experimental results show that compared with the traditional three methods, the accuracy of the in-depth learning sports movement quantitative analysis method in this paper has greatly improved and its performance is better. Show more

Keywords: Action recognition, sports movement, deep learning, action characteristics

DOI: 10.3233/JIFS-189345

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3065-3073, 2021

Authors: Zhao, Kai | Jiang, Wei | Jin, Xinlong | Xiao, Xuming

Article Type: Research Article

Abstract: The traditional sports match analysis mostly adopts the method of manual observation and recording, which is not only time-consuming and laborious but also has the defects of subjectivity and inaccuracy in the judgment results, resulting in the deviation of the match data analysis and statistical results. The purpose of this paper is to study an artificial intelligence system that can automatically analyze and evaluate the effect of both sides in volleyball matches. In this paper, the system is divided into two steps: detection and tracking of moving objects, recognition, and classification of players’ behaviors and movements. About moving target detection …and tracking, this paper proposes a moving target fast detection framework based on a mixture of mainstream technologies and a MeanShift target tracking method based on Kalman filtering and adaptive target region size. For behavior and action recognition and classification, this paper proposes a classifier combining BP neural network and support vector machine. Experimental results show that the proposed algorithm and classifier are effective. By analyzing the performance of the proposed classifier, the classification accuracy is 98%. Show more

Keywords: Intelligent analysis, volleyball match, artificial intelligence, target recognition algorithm, behavior classification algorithm

DOI: 10.3233/JIFS-189346

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3075-3084, 2021