Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Xu, Xu | Yang, Yanbing | Liu, Yi

Article Type: Research Article

Abstract: In order to promote the construction of “The Belt and Road” Initiative, we construct the complex network evolution model based on the complex network theory and node attractiveness. We select the relevant 2017 data of 18 coastal ports mentioned in the Belt and Road Initiative, and verify the validity of the model by comparing the network eigenvalues between evolving network and real network. The results show that the average distances between ports are short, clustering coefficient and dependence of hub ports are high, its topological structure has scale-free network characteristics and fits the power law distribution. Meanwhile, we study the …change of network characteristics of the evolutionary network and real network under deliberate attack and random attack. The statistics show that the robustness is weak under deliberate attack but strong under random attack. These are great reference to the construction and development of China’s Belt and Road Initiative. Show more

Keywords: Complex network, node attractiveness, network evolution, robustness, the belt and road initiative

DOI: 10.3233/JIFS-219028

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Ying, Liu | Jiaxuan, Li

Article Type: Research Article

Abstract: The development of teaching technology and the application of modern teaching means is one of the important standards of educational modernization. Multimedia technology is an important part and manifestation of the application of modern educational technology. Modern teaching means participate in music teaching, which bring vitality to the reform and development of traditional teaching. With the popularization of multimedia in music teaching, there are many problems in understanding and classroom design. Whether it is reasonable to use multimedia in music teaching is of great significance to perfect the theory of music teaching and standardize the construction of music subject. With …music teaching in colleges and universities as the research subject, this paper analyzes the application and teaching strategies of multimedia technology in the music teaching in colleges and universities, which improves students in colleges and universities continuously in the new atmosphere of science and technology teaching and in combination with the specific teaching environment. Show more

Keywords: Music teaching, multimedia technology, university, teaching strategy

DOI: 10.3233/JIFS-219119

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Chen, Chunchun | Peng, Xuhui | Li, Yaning | Xiao, Wendong | Zhao, Rui

Article Type: Research Article

Abstract: In many fields of today’s society, the value that blockchain big data can bring has attracted more and more people’s attention. Due to people’s concerns, the rapid development of blockchain big data-related technologies, and their extensive application in national strategic guidelines, academic exploration, and life production, many countries now include the development of big data in their national blueprint plans for the future. China’s progress in big data is obvious to everyone, and it plays an important role in exploring the construction and governance of smart city communities. This article explores the research of smart city community governance based on …the blockchain big data platform. Through analyzing the role of the blockchain big data platform, using the PBFT blockchain consensus algorithm, technology method, smart community governance model, etc., we try to provide community development suggestions, to further explore community governance innovation from the perspective of smart communities, which will provide new ideas for innovative social governance methods and help improve social service skills as a whole. The experimental results of this paper show that 77%of smart community management is still in its infancy, but smart city community governance based on the blockchain big data platform promotes smart communities to better serve residents and promotes the widespread and effective promotion of distinctive community governance models. Show more

Keywords: Blockchain, smart city, big data platform, community governance

DOI: 10.3233/JIFS-219114

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Min, Shen

Article Type: Research Article

Abstract: The arrival of the new media era has a certain impact on the teaching environment of universities in China. The rapid development of new media has also profoundly affected the thinking mode, behavior style and psychological consciousness of college students. This paper puts forward some innovative teaching modes under the background of new media information technology, including the online simulation court, the construction of interactive dynamic teaching website and so on. It realizes the deep integration between law teaching and modern new media technology, and gradually forms an open and diversified teaching mode. The research content of this paper has …far-reaching significance for promoting the teaching of new media technology and enhancing the pertinence and effectiveness of College Students’ legal education. Show more

Keywords: New media, law teaching, information technology, teaching mode

DOI: 10.3233/JIFS-219122

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-6, 2021

Authors: Hu, Lin | Su, Zheqian

Article Type: Research Article

Abstract: As a big country of population and strong education, the importance of education is self-evident. Especially in recent years, with the deepening of the reform of education system and quality education, the demand of the society for the application-oriented and skilled talents is increasing, which greatly promotes the development of higher vocational education. The main goal of higher vocational education is to cultivate students with professional skills and vocational ability, and the employment quality and employment rate of students are the important standards to measure the quality of higher vocational education. For higher vocational English, it has stronger applicability, so …constructing a scientific and reasonable teaching mode based on vocational ability is quite necessary, which can effectively cultivate students’ practical ability and promote the effectiveness of classroom teaching. This paper makes an in-depth analysis and discussion on the occupation skill-oriented vocational English teaching mode, and according to the needs of professional talents in higher vocational education in our country, the author deeply studies the existing problems in the teaching of English in contemporary society and solves them actively, so that the English teaching in higher vocational colleges in China can achieve better results. Show more

Keywords: Occupational skilled talents, effectiveness of English, English teaching, training strategy

DOI: 10.3233/JIFS-219124

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-5, 2021

Authors: Li, Zhao | Fathima, G. | Kautish, Sandeep

Article Type: Research Article

Abstract: Activity recognition and classification are emerging fields of research that enable many human-centric applications in the sports domain. One of the most critical and challenged aspects of coaching is improving the performance of athletes. Hence, in this paper, the Adaptive Evolutionary Neuro-Fuzzy Inference System (AENFIS) has been proposed for sports person activity classification based on the biomedical signal, trial accelerator data and video surveillance. This paper obtains movement data and heart rate from the developed sensor module. This small sensor is patched onto the user’s chest to get physiological information. Based on the time and frequency domain features, this paper …defines the fuzzy sets and assess the natural grouping of data via expectation-maximization of the probabilities. Sensor data feature selection and classification algorithms are applied, and a majority voting is utilized to choose the most representative features. The experimental results show that the proposed AENFIS model enhances accuracy ratio of 98.9%, prediction ratio of 98.5%, the precision ratio of 95.4, recall ratio of 96.7%, the performance ratio of 97.8%, an efficiency ratio of 98.1% and reduces the error rate of 10.2%, execution time 8.9% compared to other existing models. Show more

Keywords: Activity classification, sports training, fuzzy model

DOI: 10.3233/JIFS-219010

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2021

Authors: Sun, Xuying | Zhang, Yu

Article Type: Research Article

Abstract: The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of …class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities. Show more

Keywords: Artificial intelligence, ideological and political, education management, intelligent recognition

DOI: 10.3233/JIFS-219134

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Zheng, Lizhi | Zhu, Yanjie | Yu, Hailong

Article Type: Research Article

Abstract: In the era of artificial intelligence, traditional teaching models can be replaced by intelligent teaching models, thereby effectively improving the efficiency of ideological and political teaching. This paper proposes a multi-frame sliding window double-threshold clutter map CFAR algorithm and analyzes its detection probability and false alarm probability formula. Moreover, the ideological and political teaching system based on artificial intelligence and improved machine learning is designed based on the B/S model. In addition, this article analyzes the practical teaching performance of the model combined with actual teaching and analyzes the teaching effect of the model in ideological and political education. Through …experimental research, it can be seen that the performance of the experimental group is significantly higher than that of the control group, which verifies that the algorithm constructed in this article has a certain practical effect. Show more

Keywords: Artificial intelligence, machine learning, improved algorithms, ideological politics

DOI: 10.3233/JIFS-219127

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Zhang, Yu | Sun, Xuying

Article Type: Research Article

Abstract: In the context of artificial intelligence, the path of knowledge transmission needs to be transformed. In essence, the transmission of knowledge and the transformation of information transmission methods are integrated. This paper studies the foreign object tracking algorithm, analyzes the error in the target tracking algorithm, and uses the BP neural network principle to modify the IMM algorithm. Aiming at the problem of low tracking accuracy when the target is maneuvering, this paper analyzes the linearization error of Kalman filter and builds a BP neural network to correct the tracking model of IMM. The model creates a target prediction training …set and a test set, optimizes the parameters of the neural network, and conducts simulation experiments using MATLAB, which proved that the model had a higher accuracy in predicting the target trajectory of foreign objects. Therefore, the transformation of ideological and political teaching mode in colleges and universities can be realized, and the intelligent classroom of ideological and political education and intelligent communication have technical support. Show more

Keywords: Artificial intelligence, colleges and universities, ideological and political, education communication, path transformation

DOI: 10.3233/JIFS-219135

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Yang, Zhichen | Zheng, Xinxin

Article Type: Research Article

Abstract: The increasing maturity of Internet information technology has led to the rapid rise of block-chain technology. In essence, the block-chain is a shared database. In recent years, block-chain technology has attracted the attention of the public and society. This paper mainly conducts systematic research and analysis on the integration and optimization of big data in sports training by block-chain, and achieves large-scale consensus in the case of decentralization, therefore, the information of the network will not be tampered with and forged, thus crossing the boundary of the bottom layer of the information system. This paper is based on the integration …and optimization of sports training is big data. With the help of block-chain technology, each module is designed and implemented according to the needs. At the same time, the pow algorithm inside the block-chain is improved. The research results show that it is based on the block-chain. The integration and optimization of technical sports training big data can reduce the number of sports training injuries of sports school students by 10% -20%, which is very conducive to the healthy growth and development of sports school students. Show more

Keywords: Block-chain technology, sports training, big data integration, big data optimization

DOI: 10.3233/JIFS-219115

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Zou, Yuan | Yang, Daoli | Pan, Yuchen

Article Type: Research Article

Abstract: Gross domestic product (GDP) is the most widely-used tool for measuring the overall situation of a country’s economic activity within a specified period of time. A more accurate forecasting of GDP based on standardized procedures with known samples available is conducive to guide decision making of government, enterprises and individuals. This study devotes to enhance the accuracy regarding GDP forecasting with given sample of historical data. To achieve this purpose, the study incorporates artificial neural network (ANN) into grey Markov chain model to modify the residual error, thus develops a novel hybrid model called grey Markov chain with ANN error …correction (abbreviated as GMCM_ANN), which assembles the advantages of three components to fit nonlinear forecasting with limited sample sizes. The new model has been tested by adopting the historical data, which includes the original GDP data of the United States, Japan, China and India from 2000 to 2019, and also provides predications on four countries’ GDP up to 2022. Four models including autoregressive integrated moving average model, back-propagation neural network, the traditional GM(1,1) and grey Markov chain model are as benchmarks for comparison of the predicted accuracy and application scope. The obtained results are satisfactory and indicate superior forecasting performance of the proposed approach in terms of accuracy and universality. Show more

Keywords: Gross domestic product, grey Markov chain, artificial neural network, residual correction, forecasting

DOI: 10.3233/JIFS-210509

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Li, Lei | Ma, Xianmin | Guo, Wei

Article Type: Research Article

Abstract: Due to the complex working environment of marine cables, the prediction of residual insulation life of power cables has become a concern. This study mainly discusses the power cable insulation residual life prediction method considering the uncertainty of influencing factors. The aging time points were 0 h, 72 h, 144 h, 264 h, 432 h, 600 h, 844 h and 1152 h. Finally, the elongation at break, the dielectric loss angle of frequency domain dielectric spectrum and space charge distribution are explored. At the beginning of aging, the decline trend of elongation at break curves was gentle, from 510% to 499.6%, 480.6%, and 470.2%. The results show that …the difference value of the life prediction method designed in this study is small, which can be effectively used to predict the residual life of power cable insulation. Show more

Keywords: Uncertainty factors, power cables, remaining life, life prediction

DOI: 10.3233/JIFS-219112

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Ali, Riaz | Abdullah, Saleem | Muhammad, Shakoor | Naeem, Muhammad | Chinram, Ronnason

Article Type: Research Article

Abstract: Due to the indeterminacy and uncertainty of the decision-makers (DM) in the complex decision making problems of daily life, evaluation and aggregation of the information usually becomes a complicated task. In literature many theories and fuzzy sets (FS) are presented for the evaluation of these decision tasks, but most of these theories and fuzzy sets have failed to explain the uncertainty and vagueness in the decision making issues. Therefore, we use complex intuitionistic fuzzy set (CIFS) instead of fuzzy set and intuitionistic fuzzy set (IFS). A new type of aggregation operation is also developed by the use of complex intuitionistic …fuzzy numbers (CIFNs), their accuracy and the score functions are also discussed in detail. Moreover, we utilized the Maclaurin symmetric mean (MSM) operator, which have the ability to capture the relationship among multi-input arguments, as a result, CIF Maclarurin symmetric mean (CIFMSM) operator and CIF dual Maclaurin symmetric mean (CIFDMSM) operator are presented and their characteristics are discussed in detail. On the basis of these operators, a MAGDM method is presented for the solution of group decision making problems. Finally, the validation of the propounded approach is proved by evaluating a numerical example, and by the comparison with the previously researched results. Show more

Keywords: Intuitionistic fuzzy set, complex intuitionistic fuzzy set, multi-attribute group decision making, emergency management program evaluation, Maclaurin symmetric mean operator

DOI: 10.3233/JIFS-202254

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-22, 2021

Authors: Gao, Zhiyang | Qi, Yaqi Liu Feng | Chen, Huaijin

Article Type: Research Article

Abstract: With the development of society and the progress of science and technology, the process of urban infrastructure construction is accelerating, various infrastructure networks are constantly improving, and the links between different infrastructure networks are getting closer. Compared with a single network, this kind of interdependent network is more complex, and the research results of the existing single network are difficult to explain the nature and phenomenon of this kind of network. This article mainly introduces the research on the robustness and recovery mechanism of interdependent networks. From the perspective of a complex network, this paper combines the interdependence between the …networks in the actual system and the node load and builds an interdependent network model. On the basis of the load capacity model, an interdependent network error model is established. And through matlab simulation experiments, the fault propagation characteristics of dependent networks under three conditions and the reliability attack methods of dependent networks are studied. The experimental results in this article show that dependent networks show exceptional vulnerability under deliberate attack functions, while dependent networks show good robustness under random attack modes. In addition, increasing the network node tolerance coefficient can improve the robustness of the interdependent network. When the tolerance is increased from 1 to 10, the robustness of the dependent network is increased by 18%. Show more

Keywords: International circuit theory, dependent network, robustness effect, recovery mechanism, network link

DOI: 10.3233/JIFS-219111

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Zhang, Xiaoxian | Zhang, Jianpei | Yang, Jing

Article Type: Research Article

Abstract: Recommendation algorithm is not only widely used in entertainment media, but also plays an important role in national strategy, such as the recommendation algorithm of byte beating company. This paper studies the personalized recommendation algorithm based on representation learning. The data in social network is complex, and the data mainly exists in various platforms. This paper introduces AI (Artificial Intelligence) algorithm to guide the algorithm of representation learning, and integrates the algorithm steps of representation learning, to realize the implementation of personalized recommendation algorithm in social network, and compares the representation learning algorithm. Finally, this paper designs a method based …on heat conduction and text mining to provide users with webpage recommendations and help users better mine interesting popular webpages. Research shows that the performance of IMF is better than that of PMF because it overcomes the sparsity of data by pre-filling. The accuracy of IMF is 3.69% higher than that of PMF on the epinions data set, and 6.24% higher than that of PMF on the double data set. Rtcf, socialmf, tcars, CSIT, isrec, and hesmf have better performance than PMF and IMF. Among them, rtcf, socialmf, tcars, CSIT, isrec, and hesmf improve the MAE performance of PMF by 7.6%, 6.3%, 8.8%, 7.9%, 9.5% and 14.2%, respectively. Show more

Keywords: Recommendation algorithm, representation learning, social network data, AI algorithm

DOI: 10.3233/JIFS-219113

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Huang, Xiaoping | Weng, Fangyi | Wei, Zhongxin | Kamruzzaman, M.M.

Article Type: Research Article

Abstract: Sorting robot is a kind of artificial intelligence robot which has certain sense ability and can classify items. In the sorting industry, its appearance not only reduces the labor input, but also improves the production efficiency of the sorting industry. In this paper, a production line composed of linear Delta robot and 3-DOF robot is studied. The forward and inverse solutions are calculated by MATLAB and simulated by Solid Works. Through the visual processing function, communication function and axle card driving function of Lab VIEW software, the servo motor rotation is controlled to achieve the purpose of the end moving …along the predetermined trajectory, and finally the visual sorting function is realized. Show more

Keywords: LabVIew, robot sorting, visual processing, delta robot, artificial intelligence

DOI: 10.3233/JIFS-219090

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Liu, Fuwei | Wang, Yansen

Article Type: Research Article

Abstract: The freezing pipe fracture can cause freezing wall to thaw and even lead to major accidents such as mine flooding easily, which seriously threatens the safety in construction. Therefore, scientific and effective comprehensive risk assessment for freezing pipe fracture is of great significance. In this work, a risk assessment method is put forward based on improved AHP-Cloud model with 19 evaluation indicators. First, the multi-dimension evaluation index system and evaluation model are established, on the basis of in-depth analysis of the risk factors that may lead to accidents. Second, synthesizing the normalization process and the improved analytic hierarchy process (AHP), …the evaluation grade cloud and comprehensive evaluation cloud of freezing pipe fracture can be acquired by using the forward cloud generator. Finally, According to the max-subjection principle and the comprehensive evaluation method, we obtain the risk level of freezing pipe fracture. The model is applied to Yangcun Coal Mine. It has been verified that the risk assessment problem of freezing pipe fracture in freezing sinking can be successfully solved by the model we proposed. Above all, the study offers a new research idea for the risk management of freezing pipe fracture in freeze sinking. Show more

Keywords: Freezing pipe fracture, risk assessment, improved AHP-Cloud model, fuzzy factors, freeze sinking

DOI: 10.3233/JIFS-210608

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2021

Authors: Guo, Caiping

Article Type: Research Article

Abstract: With the continuous development of manufacturing industry, the requirements of process design with system intelligence and informatization are higher and higher. Traditional manual technology can not meet the modern requirements, modern intelligent computer-aided process design is more and more widely used. The purpose of this study is to use CAD technology with process shaft technology. In this study, different radii of shaft components were selected and horizontal tensions of 600 kN and 1200 kN were applied to test their effects and efficiency. We compared the processing efficiency and accuracy of conventional manual processing technology and computer-assisted design. In this study, …a parametric process planning template with constraint knowledge is established for each part group and stored in the process planning template library. A parametric process plan was derived using the 3d model and the feature parameters extracted from the specific manufacturing environment knowledge base. The results show that the amplitude frequency characteristic of the whole workpiece increases first and then decreases from the chuck to the tip, and the amplitude frequency characteristic amplitude is the largest at the distance of 3/4 from the chuck. The maximum value appears at 174.47Hz and the amplitude is 0.000427N/mm. Compared with manual machining, the machining time of CAD machining mode is reduced by 22.94%, the metal removal rate is increased by 34%, and the cutting efficiency is significantly improved. It is concluded that the computer-aided design technology in this study plays a more accurate and time-saving role in the processing of shaft parts and contributes to the intelligent part processing. Show more

Keywords: Computer aided design, shaft parts, machining technology, 3d visual simulation

DOI: 10.3233/JIFS-219110

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Zhang, Li | Xie, Jingyi | Antonidoss, A. | Anbarasan, M.

Article Type: Research Article

Abstract: Sport training is a sporting performance preparation phase that consists of four parts: Training in conditioning, technical Training, Training in attitude, Training in psychology. The challenging factor of the sports training session is the realization of approximate and uncertainty. The valued idea involves the definition of fuzzy sets and rules and membership functions to overcome the challenges. A fuzzy logical explanation enables successful ambiguous situations, which are complex, continuous, and more practical, closer to the real world and human thought. The concept, which is highly valued, includes defining fluids and rules and membership functions to test training exercises for strength. …This paper proposed a Fuzzy, assisted artificial intelligence monitoring framework (FAAIMF) that evaluates all athletes’ behaviors in an outdoor training setting using wearable inertial sensors. Data obtained from sensor fitted machines, feedback, and proper implementation requirements are considered in the design. The Random Forest Classifier uses a Discreet Transform Wavelet (DWT) to effectively and accurately effectively and accurately id. Second, the relative orientation of the wearable inertial sensors on a shield and thigh of a material from which the knee angle of flexion-extension is determined. The proposed method in various non-constrained settings for the exact classification of sports activities and accurate movement techniques assessment. Show more

Keywords: Mental health, fuzzy system, neural networks, cognitive analysis

DOI: 10.3233/JIFS-219042

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2021

Authors: Guo, Zhiyan | Xia, Jiakuan | Li, Zexing

Article Type: Research Article

Abstract: Modern high-end digital manufacturing has continuously improved the performance requirements for servo drive systems. High-performance servo drive systems should have excellent dynamic performance and steady-state performance. At present, an AC permanent magnet servo drive system using a permanent magnet synchronous motor as the drive motor has become the mainstream of contemporary servo drive systems. Servo system (servo mechanism), also known as servo systems, generally contains feedback control links, mainly used to accurately follow or reproduce a certain process. The servo system is mainly composed of a controller, a power drive device, a feedback device, a transmission device, a motor, and …a load. In a servo system, the existence of mechanical resonance will cause serious damage to the transmission mechanism of the system and will reduce the reliability and accuracy of the system. When the performance of the system deteriorates severely, it will lead to system instability or even safety accidents. This article aims to study the use of fuzzy sliding mode control methods to control the generation of mechanical resonance, to further eliminate the phenomenon of mechanical resonance in the servo system. This paper puts forward the methods to eliminate chattering generated by sliding mode control, mainly including filtering method, eliminating uncertainty, intelligent algorithm optimization, reducing switching gain, and fan shape. The experimental results in this paper show that when the angular speed feedback of the motor is adopted, the maximum value of the speed difference is close to 3rad/s. It can be considered that there is resonance in the system, and the load resonance is the main factor. When the angular velocity feedback at the load end is used, the maximum value of the speed difference is about 0.05rad/s, and it can be considered that the resonance has been successfully suppressed. Show more

Keywords: Cyber-physical fusion, fuzzy sliding mode, resonance suppression, servo system

DOI: 10.3233/JIFS-219108

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Yu, Weiwei | Xie, Chengwang | Deng, Chao

Article Type: Research Article

Abstract: Ant colony algorithm has great advantages in solving some NP complete problems, but it also has some problems such as slow search speed, low convergence accuracy and easy to fall into local optimum. In order to balance the contradiction between the convergence accuracy and the convergence speed of ant colony algorithm, this paper first proposes an ant colony algorithm (RIACO) based on the reinforcement excitation theory of Burrus Frederic Skinner. In this algorithm, pheromone is stimulated and its volatilization coefficient is adjusted adaptively according to the iteration times, thus the speed of ant colony search is accelerated. Secondly, based on …the characteristics of real ant colony classification and division of labor, this paper proposes an ant colony algorithm based on labor division and cooperation (LCACO). The algorithm divides the ant colony into two different types of ant colony for information exchange and improves the state transition probability formula, so that the two ant colonies can search the optimal path cooperatively, so as to improve the precision of ant colony search. Finally, combining the two improved ant colony algorithms, this paper proposes an adaptive cooperative ant colony optimization algorithm based on reinforcement incentive (SMCAACO). A multi constrained vehicle routing problem (MCVRP) is compared with the classical tabu search algorithm (TS), variable neighborhood search algorithm (VNS) and basic ant colony algorithm (ACO). The experimental results show that, in solving the mcvrp problem, the algorithm proposed in this paper not only has a good performance in the solution results, but also achieves a good balance between the convergence speed and the convergence accuracy. Show more

Keywords: Strengthen incentive, ant colony algorithm, adaptive cooperative ant colony optimization algorithm, vehicle routing problem, multi constrained vehicle routing problem

DOI: 10.3233/JIFS-219091

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: YIN, Fangchen | JI, Qinzhi | Jin, Chengwei | Wang, Jing

Article Type: Research Article

Abstract: Milling force prediction is one of the most important ways to improve the quality of products and stability in robot stone machining. In this paper, support vector machines (SVMs) are introduced to model the milling force of white marble, and the model parameters in the SVMs are optimized by the improved quantum-behaved particle swarm optimization (IQPSO) algorithm. A set of online inspection data from stone-machining robotic manipulators is adopted to train and test the model. The overall performance of the model is evaluated based on the decision coefficient (R2), mean absolute percentage error (MAPE) and root mean square error (RMSE), …and the results obtained by IQPSO-SVM are superior to those of the PSO-SVM model. On this basis, the relationship between the milling force of white marble and various machining parameters is explored to obtain optimal machining parameters. The proposed model provides a tool for the adjustment of machining parameters to ensure stable machining quality. This approach is a new method and concept for milling force control and optimization research in the robotic stone milling process. Show more

Keywords: Robot stone machining, quantum-behaved particle swarm algorithm, regression of support vector machines, milling force of white marble, machining parameters

DOI: 10.3233/JIFS-210430

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-21, 2021

Authors: Peng, Lei | Chen, Yan

Article Type: Research Article

Abstract: Tourism safety is the lifeblood of national tourism development, and tourism safety information monitoring is an important foundation for tourism safety management. The maturity of Internet information technology has led to the rapid rise of blockchain and the Internet of Things. In essence, the blockchain is a shared database. The Internet of Things can access all kinds of necessary information through various networks, such as heat, electricity, dynamics, chemistry, biology, realize the ubiquitous connection between things and people, and realize the recognition and intelligent perception of objects. This article aims to study a tourism safety monitoring information service system based …on the Internet of Things and blockchain. This paper uses the principle of sensor ranging and electromagnetic induction, acoustic calculation, sensor calculation, and RFID tag distance to measure the real-time position of the person’s RFID tag information and continuous monitoring information of infrasound intensity to monitor and pre-warn natural disasters in the scenic area. Research results, it shows that this system can monitor disaster information in time and can effectively reduce the risk of injury by 10% –20% of tourists. Show more

Keywords: Internet of things, block-chain technology, tourism safety monitoring, information service system

DOI: 10.3233/JIFS-219101

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Li, Na | Zhai, Haiting | Seetharam, Tamizharasi G. | Shanthini, A.

Article Type: Research Article

Abstract: Stress is indeed a life aspect that influences everyone, even though athletes seem to suffer from it one step ahead of others because of the extent they are expected to balance between coursework, workouts, and competitions, along with everyday life and family stress. Therefore, an efficient psychological health analysis for sportspersons is crucial in sports training. This paper introduces a Fuzzy-assisted Neural Network model for Psychological Health Analysis (FNN-PHA) to assess mental stress by monitoring the Electro Cardio Gram signal (ECG), Electroencephalogram (EEG), and Pulse rate. This paper integrates the fuzzy assisted Petri nets, fuzzy assisted k-complex detector, and fuzzy …assisted transient time analyzer to ensure the psychological health analysis neural network model’s adaptive performance. The strength of the proposed fuzzy model demonstrates interpretability against the accuracy of different criteria. The simulation analysis shows that the FNN-PHA model enhances the prediction ratio of 98.7%, emotional stability of 96.7%, personal growth of 95.7%, physical fitness level of 97.8%, and depression ratio of 12.5% when compared to other existing models. Show more

Keywords: Mental health, fuzzy system, neural networks, cognitive analysis

DOI: 10.3233/JIFS-219043

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2021

Authors: Luo, Man

Article Type: Research Article

Abstract: The construction of hydraulic projects inevitably involves land requisition and resettlement, with considerable impact on the society, the environment, and the economy of the project site, and leading to social stability risk events. Therefore, it is necessary to systematically assess social stability risk to put forward corresponding countermeasures. By applying WSR theory (Wuli-Shili-Renli Theory) to the investigation of the case-study of the Jiangxiang Reservoir Project, this paper constructs an evaluation index system for the risk to social stability from land requisition and resettlement, from the three dimensions of “physics”, “matter”, and “human principle”. The GAHP (Group-decision Analytic Hierarchy Process) method …is used to determine the index weights, while the index values of each risk factor are determined by using the interval valued hesitant fuzzy sets (IVHFSs) method. A comprehensive assessment of risks to social stability from land requisition and resettlement in the Jiangxiang Reservoir Project is performed, and coping strategies for major social stability risk factors are proposed. This paper effectively supports the development of assessments of risks to social stability from land requisition and resettlement in other hydraulic projects. Show more

Keywords: Social stability risk assessment, land requisition and resettlement, hydraulic project

DOI: 10.3233/JIFS-202805

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Chen, Lei | Han, Jun | Tian, Feng

Article Type: Research Article

Abstract: Infrared (IR) images can distinguish targets from their backgrounds based on difference in thermal radiation, whereas visible images can provide texture details with high spatial resolution. The fusion of the IR and visible images has many advantages and can be applied to applications such as target detection and recognition. This paper proposes a two-layer generative adversarial network (GAN) to fuse these two types of images. In the first layer, the network generate fused images using two GANs: one uses the IR image as input and the visible image as ground truth, and the other with the visible as input and …the IR as ground truth. In the second layer, the network transfer one of the two fused images generated in the first layer as input and the other as ground truth to GAN to generate the final fused image. We adopt TNO and INO data sets to verify our method, and by comparing with eight objective evaluation parameters obtained by other ten methods. It is demonstrated that our method is able to achieve better performance than state-of-arts on preserving both texture details and thermal information. Show more

Keywords: IR and visible images, image fusion, generative adversarial network, deep learning

DOI: 10.3233/JIFS-210041

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-17, 2021

Authors: Zhang, Chengling | Li, Jinjin | Lin, Yidong

Article Type: Research Article

Abstract: Three-way concept analysis is a mathematical model of the combination of formal concept analysis and three-way decision, and knowledge discovery plays a significant impact on formal fuzzy contexts since such datasets are frequently encountered in real life. In this paper, a novel type of one-sided fuzzy three-way concept lattices is presented in a given formal fuzzy context with its complement, in which a ternary classification is available. In such case, we comprehensively explore the connections between the proposed models and classical fuzzy concept lattices among elements, sets, and orders. Furthermore, approaches to granular matrix-based reductions are investigated, by which granular …consistent sets, and granular reducts via discernibility Boolean matrices are tectonically put forward. At last, the demonstrated results are performed by several experiments which enrich the research of three-way concept analysis. Show more

Keywords: Formal fuzzy contexts, granular reduction, one-sided fuzzy concept lattices, three-way decision

DOI: 10.3233/JIFS-202573

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2021

Authors: Malini, A. | Priyadharshini, P. | Sabeena, S.

Article Type: Research Article

Abstract: To develop a surveillance and detection system for automating the process of road maintenance work which is being carried out by surveying and inspection of roads manually in the current situation. The need of the system lies in the fact that traditional methods are time-consuming, tiresome and require huge workforce. This paper proposes an automation system using Unmanned Aerial Vehicle which monitors and detects the pavement defects like cracks and potholes by processing real-time video footage of Indian highways. The collected data is processed and stored as images in a road defects database which serves as input for the system. …The behavior of Region Proposal Network (RPN) is made smooth by varying the number of region proposals utilized in the model. A regularization technique called dropout is used to achieve higher performance in the proposed Faster Region based Convolutional Neural Networks object detection model. The detections are made with 62.3% mean Average Precision @ Intersection over Union (IoU)> = 0.5 for the generation of 300 region proposals which is a good score for object detections. The comparisons between proposed and existing systems shows that the proposed Faster RCNN with modified VGG-16 performs well than the existing variants. Show more

Keywords: pothole, region proposal network, mean average precision, unmanned aerial vehicle, dropout

DOI: 10.3233/JIFS-202596

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Zhou, Wang | Yang, Yujun | Du, Yajun | Haq, Amin Ul

Article Type: Research Article

Abstract: Recent researches indicate that pairwise learning to rank methods could achieve high performance in dealing with data sparsity and long tail distribution in item recommendation, although suffering from problems such as high computational complexity and insufficient samples, which may cause low convergence and inaccuracy. To further improve the performance in computational capability and recommendation accuracy, in this article, a novel deep neural network based recommender architecture referred to as PDLR is proposed, in which the item corpus will be partitioned into two collections of positive instances and negative items respectively, and pairwise comparison will be performed between the positive instances …and negative samples to learn the preference degree for each user. With the powerful capability of neural network, PDLR could capture rich interactions between each user and items as well as the intricate relations between items. As a result, PDLR could minimize the ranking loss, and achieve significant improvement in ranking accuracy. In practice, experimental results over four real world datasets also demonstrate the superiority of PDLR in contrast to state-of-the-art recommender approaches, in terms of [email protected], [email protected], AUC and [email protected] Show more

Keywords: Pairwise comparison, neural network, learning to rank, item recommendation

DOI: 10.3233/JIFS-202092

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Sayed, O.R. | Sayed, N.H. | Chen, Gui-Xiu

Article Type: Research Article

Abstract: In the present paper, a characterization of the intuitionistic fuzzy sets, the interval-valued intuitionistic fuzzy sets and their set-operations are given. By making use of these characterizations, the relationships between the interval-valued intuitionistic fuzzy topology and four fuzzy topologies associated to it are studied. For this reason, some subclasses of the family of interval-valued intuitionistic fuzzy topologies on a set which we call pre-suitable and suitable are introduced. Furthermore, the concepts of homeomorphism functions and compactness in the framework of interval-valued intuitionistic fuzzy topological spaces are introduced and studied.

Keywords: Interval-valued intuitionistic fuzzy set, interval-valued intuitionistic fuzzy topology, fuzzy topology, homeomorphism, compactness

DOI: 10.3233/JIFS-202757

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Hong, Yun | Chen, Yuchan

Article Type: Research Article

Abstract: With the rapid development of computer communication technology, the level of archives information services in colleges and universities continues to improve. More and more universities have created archives management halls to promote digital archives services in depth. As an important part of information resources, the development and use of archive information resources have also attracted the attention of all walks of life. University archives are the pioneers in the development of archives in my country, and their computerization level will directly affect the development and utilization of information resources in my country’s archives. This article aims to analyze the management …of online education archives in colleges and universities under the background of big data, analyze the management of online education archives in colleges and universities, and explore the management of archives under the background of online education in colleges and universities. Use the university network archives construction evaluation model calculation and investigation research method to study the current situation and mode of university network education archives management, and provide reference value for the rational connection of various tasks of university network education archives management under the background of big data. The experimental results of this article show that 55% of college students believe that the current college archives need to be combined with the requirements of the development of the times, and it is necessary to innovate the archive management methods of colleges and universities to improve the quality of archive management services in universities and ensure the real-time storage of network information and maximize the development of archive information the value of. Show more

Keywords: Big data background, university network education archives, archive model, archive management model

DOI: 10.3233/JIFS-219098

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Yulei, Yang | Jin, Zhang | Wenjie, Sun | Yun, Pu

Article Type: Research Article

Abstract: Under the background of the new medical reform, the pharmaceutical industry is in constant transformation and upgrading, and the establishment of a rational and efficient pharmaceutical logistics system is imminent. Carbon emission, cost and time are set as the target to construct the model of location-routing-inventory optimization of highway, rail and air transport hubs with capacity limits. Then the warehouse of pharmaceutical logistics hub is selected, and the distribution path of pharmaceutical logistics and the inventory strategy are planned to realize the scientific decision of the system. The NSGA-III algorithm is used to solve the problem. The diversity of the …population is maintained by the well-distributed reference points, and the optimal solution set of nondominant Pareto is obtained. Spacing, HRS, PR and GD are used to measure the performance of the algorithm. The example analysis shows that the number of Pareto optimal solutions solved by the algorithm is large and evenly distributed, and convergence and operation efficiency of algorithm is good. The sensitivity analysis of three kinds of freight rates shows that the influence of the freight rates on the objective function value should be fully considered when making decisions. The method focuses on the problem of optimizing the layout of multi-modal transport hubs and improves the existing theories of it. Show more

Keywords: Pharmaceutical warehouse, carbon emission, location-routing-inventory problem, NSGA-III

DOI: 10.3233/JIFS-202508

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2021

Authors: Wang, Lei | Peng, Xindong

Article Type: Research Article

Abstract: It is prominent important for managers to assess the personal risk of mental patients. The evaluation process refers to numerous indexes, and the evaluation values are general portrayed by uncertainty information. In order to conveniently model the complicated uncertainty information in realistic decision making, interval-valued complex Pythagorean fuzzy set is proposed. Firstly, with the aid of Einstein t-norm and t-conorm, four fundamental operations for interval-valued complex Pythagorean fuzzy number (IVCPFN) are constructed along with some operational properties. Subsequently, according to these proposed operations, the weighted average and weighted geometric forms of aggregation operators are initiated for fusing IVCPFNs, and their …anticipated properties are also examined. In addition, a multiple attribute decision making issue is examined under the framework of IVCPFNs when employing the novel suggested operators. Ultimately, an example regarding the assessment on personal risk of mental patients is provided to reveal the practicability of the designed approach, and the attractiveness of our results is further found through comparing with other extant approaches.The main novelty of the coined approach is that it not only can preserve the original assessment information adequately by utilizing the IVCPFNs, but also can aggregate IVCPFNs effectively. Show more

Keywords: Multiple attribute decision making, Einstein operation, interval-valued complex Pythagorean fuzzy number, aggregation operators, personal risk

DOI: 10.3233/JIFS-210352

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-26, 2021

Authors: Wang, Zhiping | Zheng, Xinxin | Yang, Zhichen

Article Type: Research Article

Abstract: The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis …and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development. Show more

Keywords: Internet of Things technology, safety accidents in sports training, athlete training risks, data collection

DOI: 10.3233/JIFS-219100

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Ding, Duqian | Li, Juan

Article Type: Research Article

Abstract: Effective health monitoring of players in team sports like basketball allows for understanding external requirements and internal response concerning exercise and competition phases. The explosive growth of wireless devices stimulates the advancement of the internet-of-things (IoT) and 6G technologies, capable of connecting enormous and various “things” through wireless communications. Players face health issues while playing basketball are severe lower body lesions like ankle sprains, shortness of breath, teeth, head, fingers, and hand. To overcome these issues, in this paper, the Pervasive Intelligent Multi-node Health Monitoring System (PIMN-HMS) has been proposed for basketball player’s continuous health tracking based on IoT and …6G communication. With the aid of wearable monitoring sensors to gathers health information and monitor exercise records. The system consists of several sensor nodes, a network coordinator, which monitors physical movements and heart rate, and a personal server on a personal digital assistant using 6G networks. The numerical results have been performed, and the suggested PIMN-HMS model enhances the accuracy ratio of 96.7%, prediction ratio of 97.3%, low latency ratio of 11.2%, delay rate of 22.3%, and efficiency ratio of 98.7% compared to other existing models. Show more

Keywords: Internet of Things, 6G communication, pervasive intelligent multi-node health monitoring system, basketball sports activity

DOI: 10.3233/JIFS-219017

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Saldamli, Gokay | Chow, Richard | Jin, Hongxia

Article Type: Research Article

Abstract: Social networking services are increasingly accessed through mobile devices. This trend has prompted services such as Facebook and Google+to incorporate location as a de facto feature of user interaction. At the same time, services based on location such as Foursquare and Shopkick are also growing as smartphone market penetration increases. In fact, this growth is happening despite concerns (growing at a similar pace) about security and third-party use of private location information (e.g., for advertising). Nevertheless, service providers have been unwilling to build truly private systems in which they do not have access to location information. In this paper, we …describe an architecture and a trial implementation of a privacy-preserving location sharing system called ILSSPP. The system protects location information from the service provider and yet enables fine grained location-sharing. One main feature of the system is to protect an individual’s social network structure. The pattern of location sharing preferences towards contacts can reveal this structure without any knowledge of the locations themselves. ILSSPP protects locations sharing preferences through protocol unification and masking. ILSSPP has been implemented as a standalone solution, but the technology can also be integrated into location-based services to enhance privacy. Show more

Keywords: Privacy, intelligent systems, secure location sharing, smart city

DOI: 10.3233/JIFS-219102

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Zhao, Xiangbing | Zhou, Jianhui

Article Type: Research Article

Abstract: With the advent of the computer network era, people like to think in deeper ways and methods. In addition, the power information network is facing the problem of information leakage. The research of power information network intrusion detection is helpful to prevent the intrusion and attack of bad factors, ensure the safety of information, and protect state secrets and personal privacy. In this paper, through the NRIDS model and network data analysis method, based on deep learning and cloud computing, the demand analysis of the real-time intrusion detection system for the power information network is carried out. The advantages and …disadvantages of this kind of message capture mechanism are compared, and then a high-speed article capture mechanism is designed based on the DPDK research. Since cloud computing and power information networks are the most commonly used tools and ways for us to obtain information in our daily lives, our lives will be difficult to carry out without cloud computing and power information networks, so we must do a good job to ensure the security of network information network intrusion detection and defense measures. Show more

Keywords: Deep learning, cloud computing, power information network, network intrusion detect

DOI: 10.3233/JIFS-219104

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Yuan, Jiahang | Li, Yun | Luo, Xinggang | Li, Lingfei | Zhang, Zhongliang | Li, Cunbin

Article Type: Research Article

Abstract: Regional integrated energy system (RIES) provides a platform for coupling utilization of multi-energy and makes various energy demand from client possible. The suitable RIES composition scheme will upgrade energy structure and improve integrated energy utilization efficiency. Based on a RIES construction project in Jiangsu province, this paper proposes a new multi criteria decision-making (MCDM) method for the selection of RIES schemes. Because that subjective evaluation on RIES schemes benefit under criteria has uncertainty and hesitancy, intuitionistic trapezoidal fuzzy number (ITFN) which has the better capability to model ill-known quantities is presented. In consideration of risk attitude and interdependency of criteria, …a new decision model with risk coefficients, Mahalanobis-Taguchi system and Choquet integral is proposed. Firstly, the decision matrices given by experts are normalized, and then are transformed to minimum expectation matrices according to different risk coefficients. Secondly, the weights of criteria from different experts are calculated by Mahalanobis-Taguchi system. Mobius transformation coefficients based on interaction degree are to calculate 2-order additive fuzzy measures, and then the comprehensive weights of criteria are obtained by fuzzy measures and Choquet integral. Thirdly, based on group decision consensus requirement, the weights of experts are obtained by the maximum entropy and grey correlation. Fourthly, the minimum expectation matrices are aggregated by the intuitionistic trapezoidal fuzzy Bonferroni mean operator. Thus, the ranking result according to the comparison rules using the minimum expectation and the maximum expectation is obtained. Finally, an illustrative example is taken in the present study to make the proposed method comprehensible. Show more

Keywords: Regional integrated energy system, Mahalanobis-Taguchi system, Mobius transformation coefficients, Bonferroni mean

DOI: 10.3233/JIFS-190211

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2021

Authors: Chen, Caixia | Zhu, Xingfeng

Article Type: Research Article

Abstract: Aerobics was officially introduced into my country in the 1980 s. With the further development of sports, Chinese universities and primary and secondary schools gradually introduced aerobics and related courses into teaching, making aerobics develop rapidly. Due to objective reasons, the teaching of aerobics has always been at a low-efficiency teaching level. Therefore, it is urgent to establish a digital system of aerobics information. The aerobics knowledge database is for aerobics teachers to publish teaching knowledge, students learn aerobics knowledge and interact with teachers. Platform, the platform can use various technical means to increase the relevant knowledge content, enrich the means …of interaction between the platform and students, the system architecture mainly solves the connection of various links in the system application, the deployment of subsystems, and the storage of information. On the basis of the platform, it provides a powerful technical support for the teaching and promotion of aerobics. The experimental results of this paper show that the system shows that the self-evaluation of aerobics of the experimental class in the male group is 0% in the 6th class, and 100% is satisfied or above. The self-evaluation of the aerobics of the experimental class of the female group is in the fourth. The dissatisfaction rate is 0% during the course, and 100% is satisfied or above. From this point of view, the system meets the requirements. Show more

Keywords: Internet of Things, aerobics teaching, information security, Raft improved consensus algorithm for clustering

DOI: 10.3233/JIFS-219097

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Ni, Jiacheng

Article Type: Research Article

Abstract: With the development of the Internet, the rise of e-commerce has changed the shopping habits of most people. The research of this article is mainly divided into three parts. The first part is the theoretical foundation and core concept research. The second part of this article is a detailed method of establishing a predictive model based on machine learning image algorithms. In addition to reclassifying features, image algorithms are also used to optimize the model structure. The third part is the experimental results and analysis. After comparing with BP neural network and RBF neural network, through data analysis, the prediction …model in this paper greatly improves the prediction accuracy and time, and the overall performance has a breakthrough. Show more

Keywords: E-Commerce platform, machine learning, neural networks, feature extraction

DOI: 10.3233/JIFS-219087

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Wu, Weiying | Huang, Hui

Article Type: Research Article

Abstract: The determination of construction project cost is one of the important contents of construction project management, but the estimation of construction project cost generally has the disadvantages of large errors and long preparation time. With the continuous development of computer science, artificial intelligence theory is one of the hot research topics. The purpose of this article is to study the construction cost estimation based on artificial intelligence technology. Based on the theoretical basis of artificial neural network, genetic algorithm, and engineering cost, this paper proposes an optimized radial basic function (RBF) model based on genetic algorithm (GA). The search feature …combines the width, center, and hidden layer weights of the RBF network with genetic algorithms to self-correct, thereby greatly improving the accuracy of the model calculation results. In this paper, according to the model’s error (actual output-expected output), the four test samples were tested separately, and the error values obtained were 0.0125, 0.1009, –0.0791, and 0.0514. This shows the accuracy of the experimental results of the model [R] higher. Show more

Keywords: Artificial intelligence, engineering cost, artificial neural network, genetic algorithm

DOI: 10.3233/JIFS-219107

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Zheng, Xiangtian | Xu, Zhiyuan

Article Type: Research Article

Abstract: This paper presents an experimental study on the non-dispersive infrared (NDIR) detection technology and dark channel dehazing technology. Based on the analysis of Beer-Lambert Law and differential carbon dioxide detection principle, this paper proposes an atmospheric light value estimation algorithm based on NDIR detection technology. First, the change characteristics of the gas concentration in indoor smoky environment are collected and analyzed. Then appropriate weighting coefficients are chosen based on the gas characteristics to estimate the atmospheric light value. Finally, the digital image dehazing technology through dark channel prior is used for calculation to obtain a haze-free image with high quality …and high resolution. The experiment in this paper proves the feasibility of combining NDIR detection technology with dehazing technology, and its ability to improve image quality and achieve better restoration effect. Show more

Keywords: Sensor, differential detection, dehazing, dark channel prior

DOI: 10.3233/JIFS-219089

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Huang, Xiaoping | Wei, Zhongxin | Wen, Fangyi

Article Type: Research Article

Abstract: In recent years, with the development of computer software and hardware and artificial intelligence technology, photoelectric imaging equipment has gradually developed in the direction of digitization and intelligence. This paper mainly studies the application of image processing technology in the measurement of high-frequency vibration direction and amplitude. According to the corresponding relationship between the vibration blur image and the still image in the frequency spectrum, the image is preprocessed. This article adopts the traditional camera calibration method, which uses a special standard template to calibrate the internal and external parameters of the camera. The three-dimensional search algorithm is used to …analyze and compare the recognition images of the left and right cameras in each state, and finally calculate the internal and external parameters of the camera. The data shows that the fundamental frequency is about 4.9 Hz, and the fundamental frequency order basically fluctuates around 16. The calculated amplitudes are 0.89, 0.93 and 0.99μ m, respectively. The results show that the image processing technology can restore image edge details to a certain extent, suppress noise, and effectively shorten the matching time between feature points. Show more

Keywords: Image processing technology, high frequency vibration, amplitude measurement, feature extraction

DOI: 10.3233/JIFS-219105

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Shi, Baoyu | Wu, Hongtao

Article Type: Research Article

Abstract: Path planning technology is one of the core technologies of intelligent space robot. Combining image recognition technology and artificial intelligence learning algorithm for robot path planning in unknown space environment has become one of the hot research issues. The purpose of this paper is to propose a spatial robot path planning method based on improved fuzzy control, aiming at the shortcomings of path planning in the current industrial space robot motion control process, and based on fuzzy control algorithm. This paper proposes a fuzzy obstacle avoidance method with speed feedback based on the original advantages of the fuzzy algorithm, which …improves the obstacle avoidance performance of space robot under continuous obstacles. At the same time, we integrated the improved fuzzy obstacle avoidance strategy into the behavior-based control technology, making the avoidance become an independent behavioral unit. Divide the path planning into a series of relatively independent behaviors such as fuzzy obstacle avoidance, cruise, trend target, and deadlock by the behavior-based method. According to the interaction information between the space robot and the environment, each behavior acquires the dominance of the robot through the competition mechanism, making the robot complete the specific behavior at a certain moment, and finally realize the path planning. Furthermore, to improve the overall fault tolerance of the space, robot we introduced an elegant downgrade strategy, so that the robot can successfully complete the established task in the case of control command deterioration or failure of important information, avoiding the overall performance deterioration effectively. Therefore, through the simulation experiment of the virtual environment platform, MobotSim concluded that the improved algorithm has high efficiency, high security, and the planned path is more in line with the actual situation, and the method proposed in this paper can make the space robot successfully reach the target position and optimize the spatial path, it also has good robustness and effectiveness. Show more

Keywords: Space robot, path planning, fuzzy control, self-adjusting strategy, trajectory optimization

DOI: 10.3233/JIFS-219094

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Bai, Yong | Chen, Yinggang

Article Type: Research Article

Abstract: With the advent of the information age, computer-related application research has become more and more extensive, human motion analysis and action scoring based on computer vision have gradually become the focus of attention. In order to adapt to the development of the times and solve the problems related to the analysis of human motion, the experiment analyzed the similarity of eight common human movement behaviors, analyze the movement speed of men and women under sports training, and analyzed the accuracy of the human body motion recognition model in the two cases of the original gray data and the frame difference …channel, finally, the denoising performance of four different algorithms of SMF, EMF, RAMF and median filter algorithm in digital image processing is analyzed. The final result shows that there is a big similarity between the same kind of human movement behavior, the accuracy rate of the frame difference channel human body recognition model is higher than that of the original gray data recognition model, and digital image processing median filter algorithm has good image denoising performance. Show more

Keywords: Computer vision, sports training, human motion analysis, digital image processing

DOI: 10.3233/JIFS-219092

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Huang, Xiaoping | Wen, Fangyi | Wei, Zhongxin

Article Type: Research Article

Abstract: In recent years, with the development of communication technology, embedded computing technology and sensor technology, it has become increasingly mature. Micro sensors with sensing, computing and communication capabilities have appeared in large numbers and developed rapidly, making wireless sensor networks widely used. People put forward higher requirements for the accuracy, reliability and flexibility of the image acquisition system. The image transmission system using analog technology not only has low image quality, but also has a serious waste of system resources, is not easy to form a complex network structure, and has poor functional scalability. In view of the actual needs …of the current image acquisition and wireless transmission system, based on embedded technology, image acquisition, processing technology and network transmission technology, this paper proposes and designs a low-cost, high-reliability embedded image acquisition and wireless transmission system. Experimental tests show that this system has reasonable design, high video coding efficiency, good image continuity, stable operation, and basically realizes the display, storage and playback functions of the collected video data. Improve the transmission rate of the system and reduce the distortion caused by compression in terms of image compression. At the same time, it supports multiple image resolutions, frame rate options and multiple video formats, and the system’s transmission rate can adapt to the state of the network. This design fulfills the basic requirements of an embedded image acquisition system based on network technology, and provides a good foundation for the next development of a gigabit network-based image acquisition system. Show more

Keywords: Sensor network, embedded system, image acquisition, sound wave acquisition

DOI: 10.3233/JIFS-219106

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Zhen, Lihong

Article Type: Research Article

Abstract: The sports industry is considered the industry with the most vitality, participation, and penetration in the 21st century. From the perspective of practice on a global scale, the demand for the sports market has gradually developed from low-level simplification to high-level multi-polarity, and sports consumption has also shifted from single sports goods to sports services and entertainment sports. The sport industry has become modern society containing emerging industries with large business opportunities. This article mainly uses literature, expert interviews, data collation, logical analysis, and other methods to conduct a comparatively systematic study on the development of the new form of …the “Internet+” sports industry. In the study, by comparing the commodity types, organizational forms, and management of the traditional sports industry in terms of management and other aspects, the connotation of the new format of the “Internet+” sports industry is introduced in detail, which is divided into four industries: network broadcasting, smart software and hardware, vertical e-commerce, and e-sports. The research in this article shows that, after accounting, the total scale (total output) of the national sports industry in 2019 was 2,948.3 billion yuan, with a year-on-year added value of 1,124.8 billion yuan. In terms of growth, total output increased by 10.9% over 2018 and 11.6% year-on-year. Among them, sports activities integrated with the Internet have reached 58%. Finally, it will help the transformation and upgrading of Internet+sports and improve its own development level. Returning to the real economy and serving the real economy have become a consensus for the future development of Internet finance. Show more

Keywords: “Internet+”, sports industry, new business forms, development models

DOI: 10.3233/JIFS-219103

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Hao, Weiyi

Article Type: Research Article

Abstract: Through the analysis of design psychology, this paper first sorts out the development context of design psychology, and then elaborates the definition of design psychology. Moreover, this paper combines the actual demands of music psychology to construct a model, applies the fuzzy model to this model, and systematically studies the basic concepts of design psychology. Simultaneously, this paper combines its concept with examples of interface interaction design of mobile Internet product to study and observe the application of design psychology in this field. In addition, this paper summarizes a set of scientific and reasonable specific methods for interface interaction design, …and then uses this method to guide the practice of system model interaction design, constructs the model structure based on demand analysis, and optimizes the system structure. Finally, this paper designs experiments to verify the performance of the model. The research results show that the model constructed in this paper has certain practical effects. Show more

Keywords: Fuzzy model, mental health, music psychology, artificial intelligence

DOI: 10.3233/JIFS-219057

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Kreinovich, Vladik

Article Type: Book Review

DOI: 10.3233/JIFS-219168

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-3, 2021

Authors: Kreinovich, Vladik

Article Type: Book Review

DOI: 10.3233/JIFS-219169

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-2, 2021