Journal of Intelligent & Fuzzy Systems - Volume 41, issue 3

Authors: Dai, Xuefeng | Wang, Jiazhi | Li, Dahui | Wang, Yanchun

Article Type: Research Article

Abstract: Multi-robot systems have many potential applications; however, the available results for coordination were based on qualitative information. Fuzzy logic reasoning has a feature of human being thinking, so a novel coordinated algorithm is proposed. The algorithm utilizes sharing sensing information of rooms and semantic robots to coordinating robots in a structured environment exploration. The approach divides all teammate robots into two classes according to robot exploration performance, and divides rooms into large, medium and small ones according to estimations of the individual areas. On the purpose of minimizing exploration time of the system, the reasoning coordination assigns large room to …good performance robot, and vice versa. A parameter update law is introduced for fuzzy membership functions. Finally, the results are validated by computer simulations for a structured environment. Show more

Keywords: Multi-robot systems, fuzzy reasoning, intelligent coordination, task assignments

DOI: 10.3233/JIFS-189682

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4203-4210, 2021

Authors: Li, Tianxu | Gong, Mingde | Hu, Kongming | Zhao, Lijuan | Zhao, Baoqiang

Article Type: Research Article

Abstract: In this paper, a novel three-degrees-of-freedom (3-DOF) parallel robot is designed, which can only move in three translational directions. It avoids the difficulty in the solution for forward kinematics of the parallel robot. The robot containing only lower pairs (P and R) has a simple mechanism. The characteristic that the parallel robot has only three translational degrees of freedom can be proved by the screw theory and the DOF can be got by the formula of calculating the DOF of space mechanism. The kinematics and workspace of the parallel robot is analyzed through calculation and simulation. In order to obtain …better servo control performance, the PMSM fuzzy controller is designed. The analysis and simulation results show that the mechanism design of the parallel robot is reasonable, and the effect of fuzzy controller is better than the ordinary PID controller. Show more

Keywords: 3-DOF, translational parallel robot, PMSM, fuzzy controller

DOI: 10.3233/JIFS-189683

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4211-4224, 2021

Authors: Zhang, Qiang | Zhang, Jiayao | Tian, Ying

Article Type: Research Article

Abstract: The performance of the pick gradually degrades under the cyclic complex load, so it is difficult to realize the state prediction, in order to be able to accurately predict the pick degradation state, this paper develops a test system for the wear degradation of pick, the method of experimental analysis and numerical simulation is adopted, Multi-signal fusion model of vibration and acoustic emission was constructed, the grey prediction and the Gamma method of Bayesian parameter updating are used to realize the application of the degenerate data, the results prove that the relative error of grey prediction under vibration signal is …only 0.45%, the relative error of the Gamma model was 0.57%, the relative error of the Gamma model under Bayesian updating was 0.22%, the three models have good prediction accuracy, the prediction error of the Gamma model under Bayesian updating is minimal. Show more

Keywords: Pick wear, pick degradation, grey prediction, gamma process

DOI: 10.3233/JIFS-189684

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4225-4235, 2021

Authors: Zheng, Leina | Wang, Junwei | Liu, Meiling | Liu, Jun | Pan, Tiejun | Xu, Haojie

Article Type: Research Article

Abstract: This paper studies intuitionistic fuzzy (IF) decision making problems using an integrated approach. Firstly, an IF induced generalized ordered weighted averaging distance (IFIGOWAD) operator is introduced, that covers numerous IF aggregations distance operators. Then, two more generalized operators named IF quasi induced OWAD (Quasi-IFIOWAD) and IF induced generalized hybrid average distance (IFIGHAD) operator are presented. Furthermore, a new method using above operators is introduced to IF decision making problem and online trade systems. Finally, two real cases are present to show the effect of the method.

Keywords: Hybrid average distance, distance measure, IOWA operator, trade systems

DOI: 10.3233/JIFS-189685

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4237-4251, 2021

Authors: Liu, Xiaomin | Liu, Haiyan | Wan, Zheng | Wang, Lifei | Chen, Qiong

Article Type: Research Article

Abstract: Water resources is an important basic energy. The determination of weights is one of the important indexes in water resources evaluation system and reasonable allocation of weights is the key to quantitative evaluation. In order to establish a scientific evaluation index system of the influence of mining disturbance on water resources for purpose of a more reliable and effective evaluation result and realizing the protection of water resources system, a comprehensive evaluation system of water resources based on PSO-AHP model is proposed in the paper. Combined with the specific geological environment characteristics of mines, this paper establishes a four-level evaluation …index system after identifying the factors affecting water resources and ecological environment. By applying the particle swarm optimization (PSO) to the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method, a PSO-AHP model and then a fitness function are constructed to solve and optimize the weight values in the evaluation index system, and the calculated weight values are checked by consistency checking method. The evaluation results suggest that the index system can accurately reflect the impact of mining on water resources and water ecological environment and etc., providing certain reference value for sewage resourcing and reducing the harmful effect on environment by sewage discharge. Show more

Keywords: Water resources, ecologically vulnerable area, particle swarm optimization, analytic hierarchy process, fuzzy comprehensive evaluation method

DOI: 10.3233/JIFS-189686

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4253-4264, 2021

Authors: Diao, Lijuan | Yang, Wei | Zhu, Penghua | Cao, Gaofang | Song, Shoujun | Kong, Yang

Article Type: Research Article

Abstract: Temporal knowledge base exists on various fields. Take medical medicine field as example, diabetes is a typical chronic disease which evolves slowly. This paper starts from actual EMR data of hospitals by combination of experience and knowledge of clinical doctors. Link prediction on clinical knowledge base such as diabetic complication requires the analysis on temporal characteristic of temporal knowledge base, which is a great challenge for traditional link prediction models. This paper proposes temporal knowledge graph link prediction model based on deep learning. This model selects the TransR transformation model suitable for big data and makes entity projection in relation …space containing different semantic meanings, so as to vector the entities and complex semantic relations in graph. Then it adopts LSTM recursive neural network and adds the top-bottom relational information of the graph for sequential learning. Finally it constantly carries out deep learning through incremental calculation and LSTM recursive network to improve the accuracy of prediction. The incremental LSTM model highlights the hidden semantic and clinical temporal information and effectively utilizes sequential learning to mining forward-backward dependent information. It compensates the deficiency of lower prediction accuracy on timely knowledge graph caused by the traditional link prediction models. Finally, it is proved that the new model has better performance over temporal knowledge graph link prediction. Show more

Keywords: Temporal knowledge graph, knowledge graph link prediction, translation model TransR, long short term memory (LSTM) networks, incremental learning, deep learning

DOI: 10.3233/JIFS-189687

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4265-4274, 2021

Authors: Ji, Wenjiang | Cheng, Chen | Xie, Guo | Zhu, Lei | Wang, Yichuan | Pan, Long | Hei, Xinhong

Article Type: Research Article

Abstract: With the development of intelligent transportation system, the maintenance of railway turnout is an essential daily task which was required to be efficiency and automatically. This paper presents an intelligent diagnosis method based on deep learning curve segmentation and the Support Vector Machine. Firstly, we studied the curve segmentation approach of the real-time monitoring power data collected form turnout, for which is an essential step and do a great help to improve the diagnose accuracy. Then based on the well pre-processed data sets, the SVM algorithm was applied to classify the samples and report the health states of the turnout …which under testing. At last, the experiments were taken on the power data curve collected from the real turnouts, during which we compared the new diagnose method with conventional ones, and the results showed that the diagnose accuracy of proposed method can averaged to 98.5%. Compared with traditional SVM based frameworks, the proposed diagnosis method dramatically improves the accuracy which is more suitable for railway turnout. Show more

Keywords: Railway turnouts, intelligent fault diagnosis, curve segmentation, SVM

DOI: 10.3233/JIFS-189688

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4275-4285, 2021

Authors: Liu, Yanqi | Zhang, Li | Xu, Zhenghua | Liu, Xueyang

Article Type: Research Article

Abstract: This essay focus on the situation when the operator of the main control room can not handle the accident in time or make wrong judgment under accident condition in nuclear power plant, which may lead to the occurrence of major accidents or even more accidents concurrently. An intelligent fuzzy diagnosis model based on Grey Relational degree is constructed in this paper, by establishing accident-state correlation matrix and accident-state probability matrix, defining the vector of information weights for accident characteristic vector and monitoring result vector with linear transform, using Grey Relation to measure the relevance degree between monitoring result vector and …accident characteristic vector, Searching for suspected accidents approaching to real solutions in iterative recursive algorithms, realizing automatic fuzzy diagnosis of multiple accidents. The results of simulation experiments of LOCA accidents indicate that the model and algorithm can diagnose various common accidents accurately and rapidly in complex nuclear power systems, providing strategy for operator’s diagnosis decision. Show more

Keywords: Human reliability, accident conditions, diagnosis model, correlation matrix, approaching to

DOI: 10.3233/JIFS-189689

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4287-4294, 2021

Authors: Tang, Yongwei | Hao, Huijuan | Zhou, Jun | Lin, Yuexiang | Dong, Zhenzhen

Article Type: Research Article

Abstract: AGV (Automated Guided Vehicle) technology has attracted increasing attention. Precise control of AGV position and attitude information in complex operating environment is a key part of smart factories. With outdoor AGV as a platform, this study uses BDS/INS combined navigation system combining Beidou positioning system and inertial navigation system and takes the velocity and position difference between BDS and INS as a model. An integrated navigation method is proposed to improve bee colony algorithm and optimize the BP neural network-assisted Kalman filtering to achieve accurate positioning. Moreover, the optimization of BP neural network navigation using INS navigation, network-assisted navigation and …bee colony algorithm is simulated. Results demonstrate that the integrated navigation algorithm has effectiveness and feasibility, and can solve the problems of BDS misalignment and large INS navigation error in complex environments. Show more

Keywords: AGV, BDS/INS integrated navigation, Kalman filter, neural network, bee colony algorithm

DOI: 10.3233/JIFS-189690

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4295-4306, 2021

Authors: Leng, Xiaokun | Piao, Songhao | Chang, Lin | He, Zhicheng | Zhu, Zheng

Article Type: Research Article

Abstract: In recent years humanoid robots have been widely used in toy, performance, education and other service industries, but most biped robots walk slowly and have poor stability. The reason is that the driver parameters of the robot cannot properly match the walking gait algorithm, and the insufficient performance of the robot driver leads to the poor motion capability of the robot. In this paper, the optimization design process of biped robot parameters is studied and expounded, and its motion capability is improved by optimizing the driving parameters of the robot. Firstly, the contradiction between walking speed, stability and driver performance …of biped robot is analysed. The performance evaluation functions of the three are further established, and the optimal parameter design to a certain extent is realized based on the multi-objective optimization method. Finally, combining with the physical simulation engine, the design parameters are simulated and checked, and the robot design process is completed through the guidance of simulation results. Show more

Keywords: Humanoid robot, inverted pendulum, multi objective optimization, constraint

DOI: 10.3233/JIFS-189691

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4307-4318, 2021

Authors: Li, Hao | Yang, Jie

Article Type: Research Article

Abstract: The traditional distributed WSNs fire remote monitoring system has single monitoring variables and incomplete fire detection data, which leads to large monitoring error and long delay. A distributed WSNs fire remote monitoring system based on fuzzy algorithm is designed. The hardware part of the system consists of distributed WSNs fire remote monitor, air temperature and humidity parameters acquisition, LCD unit and system power supply unit. The remote fire monitor is designed by using microprocessor C8051F060, and the centralized monitoring of information is realized by using distributed WSNs. Based on this, the fuzzy algorithm is introduced to standardize the fire detection …data, and the fuzzy similar matrix is established. According to the improved similarity coefficient, the matrix is solved, the fuzzy equivalent matrix is calculated, and the optimal threshold value of fuzzy monitoring is determined. The fuzzy language monitoring rules are set by using three fuzzy variables of current, temperature and smoke to complete the design of distributed WSNs fire remote monitoring system. The simulation results show that: compared with the traditional fire monitoring system, the system designed in this paper has higher throughput limit, shorter delay, and the accuracy rate of monitoring and alarm is higher than 95%. The experimental results show that the system has good generalization ability and is suitable for large-scale high-rise buildings and large-scale networks. Show more

Keywords: Fuzzy algorithm, distributed WSNs, remote fire monitoring, C8051F060, fuzzy equivalent matrix

DOI: 10.3233/JIFS-189692

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4319-4326, 2021

Authors: Chen, Yonggang | Shu, Yufeng | Li, Xiaomian | Xiong, Changwei | Cao, Shenyi | Wen, Xinyan | Xie, Zicong

Article Type: Research Article

Abstract: In the production process of lithium battery, the quality inspection requirements of lithium battery are very high. At present, most of the work is done manually. Aiming at the problem of large manual inspection workload and large error, the robot visual inspection technology is applied to the production of lithium battery. In recent years, with the rapid development and progress of science and technology, the rapid development of visual detection hardware and algorithms, making it possible to screen defective products through visual detection algorithms. This paper takes lithium battery as the research object, and studies its vision detection algorithm. As …a common commodity, the quality of lithium battery is the key for users to choose. With the increasing requirements of users for battery quality, how to produce high-quality battery is the key problem to be solved by manufacturers. However, at present, the defects of battery surface are mostly carried out manually. There are low efficiency and low detection rate in the process of manual detection. In this paper, the visual detection algorithm is studied to detect the defects such as pits, rust marks and broken skin on the surface of lithium battery, specifically to design the imaging experimental platform of lithium battery; use different lighting schemes to design different battery positioning and extraction algorithms; use Hough detection method to locate the battery surface, and design the battery defect algorithm for this, and compare the algorithm through experiments. Show more

Keywords: Robot visual inspection, surface defect, embedded, lithium battery

DOI: 10.3233/JIFS-189693

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4327-4335, 2021

Authors: Sun, Tiebo | Liu, Jinhao | Kan, Jiangming | Sui, Tingting

Article Type: Research Article

Abstract: Aiming at the problem of automatic classification of point cloud in the investigation of vegetation resources in the straw checkerboard barriers region, an improved random forest point cloud classification algorithm was proposed. According to the problems of decision tree redundancy and absolute majority voting in the existing random forest algorithm, first the similarity of the decision tree was calculated based on the tree edit distance, further clustered reduction based on the maximum and minimum distance algorithm, and then introduced classification accuracy of decision tree to construct weight matrix to implement weighted voting at the voting stage. Before random forest classification, …based on the characteristics of point cloud data, a total of 20 point cloud single-point features and multi-point statistical features were selected to participate in point cloud classification, based on the point cloud data spatial distribution characteristics, three different scales for selecting point cloud neighborhoods were set based on the point cloud density, point cloud classification feature sets at different scales were constructed, optimizing important features of point cloud to participate in point cloud classification calculation after variable importance scored. The experimental results showed that the point cloud classification based on the optimized random forest algorithm in this paper achieved a total classification accuracy of 94.15% in dataset 1 acquired by lidar, the overall accuracy of classification on dataset 2 obtained by dense matching reaches 92.03%, both were higher than the unoptimized random forest algorithm and MRF, SVM point cloud classification method, and dimensionality reduction through feature optimization can greatly improve the efficiency of the algorithm. Show more

Keywords: Straw checkerboard barriers, random forest, point cloud characteristics, point cloud classification

DOI: 10.3233/JIFS-189694

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4337-4349, 2021

Authors: Liu, Ziyu | Li, Ying | Zhao, Lixia | Guo, Pengtao

Article Type: Research Article

Abstract: The intelligent inquiry system for metro electro-mechanical equipment faults based on the knowledge graph can effectively consolidate various semi-structured failure messages, and can provide users with quick, accurate and high-quality intelligent inquiry services such as equipment fault causes-researching and solutions-delivering, which could be really relevant to this research field and application areas. The recorded date which related to metro electromechanical equipment failures were in this research collected, consolidated and converted, so that these failures could be stored in our databases. In this context, various functions of the intelligent inquiry system have been implemented, including: natural language question analysis, language Cypher-based …question and answer design, Naive Bayesian classification based on characteristic core words, and user interaction interface realization. The experimental results show that the system can effectively solve the problems related to fault handling in metro mechanical and electrical equipment, thus improving the efficiency of equipment fault maintenance. Show more

Keywords: Intelligent inquiry, the knowledge graph, mechanical and electrical equipment fault, system construction, Neo4j

DOI: 10.3233/JIFS-189695

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4351-4368, 2021

Authors: Chang, Zhengyan | Zhang, Zhengwei | Deng, Qiang | Li, Zheren

Article Type: Research Article

Abstract: The artificial potential field method is usually applied to the path planning problem of driverless cars or mobile robots. For example, it has been applied for the obstacle avoidance problem of intelligent cars and the autonomous navigation system of storage robots. However, there have been few studies on its application to intelligent bridge cranes. The artificial potential field method has the advantages of being a simple algorithm with short operation times. However, it is also prone to problems of unreachable targets and local minima. Based on the analysis of the operating characteristics of bridge cranes, a two-dimensional intelligent running environment …model of a bridge crane was constructed in MATLAB. According to the basic theory of the artificial potential field method, the double-layer artificial potential field method was deduced, and the path and track fuzzy processing method was proposed. These two methods were implemented in MATLAB simulations. The results showed that the improved artificial potential field method could avoid static obstacles efficiently. Show more

Keywords: Artificial potential field, intelligent bridge crane, path planning, static environment

DOI: 10.3233/JIFS-189696

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4369-4376, 2021

Authors: Zhao, Nan | Wang, Yubo | Tang, Xiaoke | Gan, Jie | Zhao, Xu | Zhang, Yubing

Article Type: Research Article

Abstract: Due to the influence of filters and multipath channels, the received signal of the current symbol will be affected by the interference of the previous symbol and the next symbol, the interference will reduce the performance of channel estimation, especially when the SF is relatively low, which will affect the system throughput rate. In this paper, based on BPSK chirp spread spectrum modulation system, we first describe the channel estimation of matched filtering and FFT, and derive the influence of ISI on the channel estimation of the current pilot symbol. Then we proposed the improved channel estimation based on the …estimated time delay spread and transmitted signals. Finally, we simulate the MSE performance of channel estimation under different channels and different transmitted signals. The simulation results show that the MSE performance of the improved channel estimation can be improved under different channel when the SF is low, and higher throughput can be obtained. Show more

Keywords: Chirp spread spectrum (CCS), binary phase shift keying (BPSK), fast Fourier transformation (FFT), matched filtering (MF), channel estimation, inter symbol interference (ISI), pilot symbol

DOI: 10.3233/JIFS-189697

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4377-4386, 2021

Authors: Shao, Weiwei | Zhang, Handong | Wu, Yuxiu | Sheng, Na

Article Type: Research Article

Abstract: If robot uses 2D lidar or binocular camera to locate obstacles, there will be some problems such as missing obstacle information or inaccurate obstacle locating, which will affect the normal work of the robot. In order to obtain accurate 3D obstacle information, this paper proposes an algorithm for fusing 2D lidar and binocular vision to complete the obstacle location. In this paper, the depth value of the 2D lidar point cloud is used as a benchmark. By fitting the error equation of the binocular camera point cloud depth value, the depth value of the camera point cloud is modified to …obtain an accurate 3D camera point cloud, thereby obtaining an accurate 3D obstacle information. Many experiments have proved that the fusion algorithm of 2D lidar and binocular vision can obtain accurate 3D obstacle information. The method of fusion 2D lidar and binocular vision can approximately achieve the measurement effect of 3D lidar, and the point cloud of obstacles is relatively dense, so the accurate 3D obstacle information can be obtained. This method can reduce the influence of single sensor on the robot locating obstacles, thus completing the accurate locating of obstacles, which is of certain significance to robot navigation. Show more

Keywords: 2D lidar, binocular camera, robot, fusion algorithm

DOI: 10.3233/JIFS-189698

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4387-4394, 2021

Authors: Li, Long | Xie, Zhongqu | Luo, Xiang | Li, Juanjuan | He, Yufeng

Article Type: Research Article

Abstract: Gait pattern generation has an important influence on the walking quality of biped robots. In most gait pattern generation method, it is usually assumed that the torso remains vertial during walking. It is very intuitive and simple. However, is the gait pattern of keeping the torso vertical the most efficient? This paper presents a gait pattern in which the torso has pitch motion during walking. We define the cyclic gait of a seven-link biped robot with multiple gait parameters. The gait parameters are determined by optimization. The optimization criterion is choosen to minimize the energy consumption per unit distance of …the biped robot. In order to compare the energy consumption of the proposed gait pattern with the one of torso vertical gait pattern, we generate two sets of optimal gait with various walking step lengths and walking periods. The results show that the proposed gait pattern is more energy-efficiency than the torso vertical gait pattern. Show more

Keywords: Biped robot, gait pattern generation, optimal gait, walking efficient, torso pitch motion

DOI: 10.3233/JIFS-189699

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4395-4405, 2021

Authors: Meng, Haoyang | Dong, Sheng | Zhou, Jibiao | Zhang, Shuichao | Li, Zhenjiang

Article Type: Research Article

Abstract: Green flash light (FG) and green countdown (GC) are the two most common signal formats applied in green-red transition that provides drivers additional alert before termination of green phase. Due to their importance and function in stop-pass decision-making process, proper use of them has become a critical issue to greatly improve the safety and efficiency of signalized intersections. Gradually e-bike riders have become more important commuters in China, however, the influence of FG or GC on them is not clear yet and need pay more attention to it. This study chooses two almost identical intersections to obtain highly accurate trajectory …data of e-bike riders to study their decision-making behaviors under FG or GC. The e-bike riders’ behavior is classified into four categories and is to identify their stop-pass decision points using the acceleration trend. Two binary-logit models were built to predict the stop–pass decision behaviors for the different e-bike rider groups, explaining that the potential time to the stop-line is the dominant independent factor of the different behaviors of GC and FG. Furthermore empirical analysis of decision points indicated that GC provides the earlier stop-pass decision point and longer decision making duration on the one side while results in more complexity of decision making and greater risk of stop-line crossing than FG on the other side. Show more

Keywords: Driving behavior, flashing green, green countdown, electric bicycle, stop-pass decision

DOI: 10.3233/JIFS-189700

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4407-4414, 2021

Authors: Zhou, Yue | Wang, Xiujun | Guo, Shu | Wen, Yi | He, Jingsha

Article Type: Research Article

Abstract: The rapid development of object oriented programming (OOP) technology has made it one of the mainstream programming technologies that has been widely used in the design and development of object oriented software (OOS). The inheritance, encapsulation and polymorphism properties of object-oriented language can improve the reusability, scalability and interoperability of software while increasing the difficulty of testing OOS. Researchers have proposed a variety of testing methods to test OOS among which random testing (RT) has been widely used due to its simplicity and ease of use. An OMISS-ARTsum algorithm is proposed in this paper that uses improved OMISS random test …FSCS-ART with max-sum standard, which is an implementation version of fixed-sized-candidate-set ART. The OMISS-ARTsum algorithm calculates the total distance between a candidate test case and the executed test case set before the next test case is selected from the set of candidate test cases. Unlike the traditional max-sum based FSCS-ART algorithm, OMISS-ARTsum does not calculate the distance between each executed test case and the candidate case and then sum up the total distance, but uses the method of summing up all the executed test cases and the candidate cases. The information of executing test cases is saved as a whole and the distance between the executed test case set and candidate cases is calculated at the same time. Experiment shows that compared to the OMISS-ART algorithm, the proposed OMISS-ARTsum algorithm can reduce the time overhead. Show more

Keywords: Object oriented software, adaptive random testing, test input, time cost

DOI: 10.3233/JIFS-189701

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4415-4423, 2021

Authors: Xie, Yi | Wang, Yulin | Ma, Maode

Article Type: Research Article

Abstract: Today, the manner in which we communicate has greatly advanced. The technology is not just about machines, but people with technology together. Machine-to-machine (M2M) communication is unavoidable in the Internet of things. However, at the same time, there are more attacks against the M2M system. Therefore, a reliable and secure authentication mechanism is required. Blockchain technology is decentralized and highly secure while being tamper-proof. This protects M2M service providers by eliminating the single point of failures. This paper proposes a blockchain-based authentication scheme that uses a practical Byzantine fault tolerance (pBFT) consensus mechanism for M2M security in cyber physical systems. …By implementing a blockchain to an M2M system, it provides an ID for devices on the blockchain. Simulation results have shown that the data on the chain cannot be altered. A pBFT consensus algorithm also ensures that the blockchain network is able to come to a consensus with faults. Show more

Keywords: Machine-to-machine communication, blockchain, pBFT consensus algorithm

DOI: 10.3233/JIFS-189702

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4425-4430, 2021

Authors: Zhang, Xuejun | Lao, Huan | Wu, Dongbo | Liang, Chan | Liang, Binmei | Ma, Liangdi

Article Type: Research Article

Abstract: Mass of an object is an important characteristic for quality assessment. However, in some cases, it is hard to measure the mass of objects with instruments directly. In this paper, we proposed a novel method based on Fuzzy c-means (FCM) to measure the mass of an object by analyzing the deformation degree in a grid pattern. In the spatial field, thin plate spline (TPS) algorithm was adopted to calculate the minimum deformation bending energy in order to give a quantitative analysis of the weight; In frequency domain, the Fast Fourier Transform (FFT) algorithm was used to calculate the spectrum within …a deformation frequency area before and after the change of grids, from which the relationship between weight and spectrum was investigated using FCM algorithm. Two different equations evaluated by the above two methods were proposed in order to calculate the mass of an object. Both of them showed a high level of explanatory power of R2 (R2 = 0.9833 and R2 = 0.9698, respectively). The equations were then used to determine the estimated mass. Estimated and measured values were plotted against each other. A high correlation (R2 = 0.9833 and R2 = 0.9698, respectively) was found between actual and calculated mass. Finally, Bland-Altman plot was introduced to access the agreement of the calculated mass and the actual mass. The average bias was –54.408 g and –0.007 g for spatial domain method and frequency domain method, respectively. Theoretical analysis and experiments were performed to verify the effectiveness of our approaches. Show more

Keywords: Thin plate spline (TPS), fast fourier transform, mass, bending energy, image processing

DOI: 10.3233/JIFS-189703

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4431-4438, 2021

Authors: Shu, Yufeng | Zhang, Liangchao | Zuo, Dali | Zhang, Junhua | Li, Junlong | Gan, Haoquan

Article Type: Research Article

Abstract: This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219268 .

DOI: 10.3233/JIFS-189704

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4439-4449, 2021

Authors: Wen, Yuebing | Tan, Jianping | Sang, Yanwei

Article Type: Research Article

Abstract: In order to solve the problems, such as the asymmetry, complex control methods, inconsistent dynamic characteristics for positive/negative directions and poor stability for asymmetric control system, in this paper, a system symmetric control method based on state feedback was brought out and the state space mathematical model was derived for valve controlled hydraulic cylinder system. With the symmetric control method of the state feedback, the valve controlled asymmetric hydraulic system can be converted into state space symmetric system, then the unified control method can be used for positive and negative directions after conversion, finally the feedback link of the system …was educed. Through simulation, the accuracy of the model and the effectiveness of the control method were verified. Through experiments, the input and output characteristics and load response characteristics of the system before and after conversion were compared. It was concluded that the system had symmetric characteristics for inputs and outputs, and better load response characteristics after conversion. This study can be a base for the application of symmetric control theory to large asymmetric hydraulic systems and was of great help to realize symmetric control of large asymmetric hydraulic systems. Show more

Keywords: Valve controlled asymmetric cylinder system, state feedback, fuzzy symmetrical compensation, fuzzy symmetrical

DOI: 10.3233/JIFS-189705

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4451-4460, 2021

Authors: Jiang, Xiaoming | Yang, Huamin | Yang, Ya | Chen, Zhanfang

Article Type: Research Article

Abstract: In server clusters, the static scheduling algorithm has superior performance when the user visits are relatively stable. In the face of sudden increase in user traffic, the dynamic scheduling algorithm has a better load balancing effect than the static scheduling algorithm. However, in the face of complex network environments, the static scheduling algorithm cannot adjust the load according to the performance of the server in real time. The dynamic scheduling algorithm using a single weight to evaluate server performance is unreliable, and load scheduling with reference to the number of connections has uncertainty. In view of this problem, this paper …proposes a cluster load balancing algorithm based on dynamic consistent hash based on the study of load balancing based on LVS clusters. By analyzing the performance and load parameters, we divide the request process into in-cycle and out-of-cycle. By setting up the LVS cluster system, the performance weights, load parameters, number of virtual nodes and cycles of the algorithm in this paper are determined experimentally. Finally, the response time and throughput of the algorithm in this paper are compared with the WRR algorithm and WLC algorithm. The results show that the time and throughput of this algorithm are better than WRR algorithm and WLC algorithm. Show more

Keywords: Dynamic, consistent hash, load balancing, cluster

DOI: 10.3233/JIFS-189706

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4461-4468, 2021

Authors: Zhou, Lanfeng | Li, Ling

Article Type: Research Article

Abstract: Traditional Hough circle detection algorithm usually determines the center and radius of a circle by mapping points in cartesian coordinate system to polar coordinate system. Since it accumulates in the three-dimensional space, it requires more calculation consumption. In this paper, we solve the problem of high time complexity of Hough algorithm in judging circle radius and circle center from two aspects of circle angle and circle radius according to the geometric features of quasi-circles. A large number of experiments show that, compared with the traditional algorithm, this algorithm can not only identify quasi-circles, but also improve the detection success rate …of circles by about 10%, with efficient running speed, and obtain good experimental results in the detection of craters. Show more

Keywords: Hough transform, crater recognition, pattern recognition, edge detection, geometric features

DOI: 10.3233/JIFS-189707

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4469-4477, 2021

Authors: Li, Hao | Yang, Jie

Article Type: Research Article

Abstract: Aiming at the problems of low fire detection accuracy and high false alarm rate of the current intelligent camera fire accident alarm system, a fire accident alarm system based on fuzzy recognition algorithm is designed. By analyzing the structural principle of the fire detection and alarm system, selecting the CO gas, temperature and smoke sensor selection, designing the corresponding fire signal detection circuit, and designing the single-chip system circuit, including the single-chip clock circuit, reset circuit, power supply circuit and A/D conversion circuit design, on the basis of in-depth study of the Bluetooth communication protocol structure, the hardware design of …the serial interface circuit of the single-chip microcomputer, PC and Bluetooth module has been completed. The fuzzy recognition algorithm is used to set the input and output, establish the control rule table and reasoning relationship, generate the input and output rule table, preprocess the sensor signal, and finally output the fire alarm model through the fuzzy inference system, so as to realize the fire accident alarm of the intelligent camera. The experimental results show that the fire detection accuracy of the proposed method is high, and can effectively reduce the false alarm rate and false alarm rate of the system. Show more

Keywords: Fuzzy recognition algorithm, fuzzy control, neural network, fire alarm system

DOI: 10.3233/JIFS-189708

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4479-4491, 2021

Authors: Xu, Tongtong | Xiang, Zheng

Article Type: Research Article

Abstract: In this work, modified constant modulus algorithm based on bat algorithm is proposed for wireless sensor communications systems. The bat algorithm is a swarm intelligence optimization algorithm, which mainly used to solve optimization problems. The proposed algorithm focused on modified constant modulus algorithm, which is also applicable to the constant modulus algorithm. The error function of blind equalization algorithm is used as the evaluation function of the bat algorithm, and then the initial value of the weight vector is calculated adaptively by the bat algorithm. Theoretical analysis is provided to illustrate that the proposed algorithm has a faster convergence speed …than the original one and is suitable for almost all blind channel equalization algorithms. The simulation results support the newly proposed improved algorithm. The proposed algorithm could be applied to some more complex wireless channel environments to improve the reception performance of sensor communication systems. Show more

Keywords: Wireless sensor communications, blind equalization, bat algorithm, weight vector, modified constant modulus algorithm

DOI: 10.3233/JIFS-189709

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4493-4500, 2021

Authors: Xiong, Jiangyong | Li, Chongchong

Article Type: Research Article

Abstract: In this study, the combination of fuel injection parameters and SCR was used to test the material emitted from DME engine combustion under different cylinder conditions by Avl-fire. In order to study the effect of injection pressure and injection time and SCR on engine emissions, the effect of injection DME on engine combustion emissions under the condition that the injection pressure changes continuously from 20 mpa-73 mpa and the injection time from BTDC to ATDC is 15° to ATDC. The study found that when the injection pressure around 38 MPa, NOX , CO and HC emissions of engine exhaust can satisfy the VI …emissions requirements; When the injection time within 3.5° BTDC to 3.5° between ATDC, NOX , CO and HC emissions of engine exhaust can satisfy the VI emissions requirements; When affected by complex working conditions and environment, the production of NOX will increase. At this point, with the combination of SCR, the maximum conversion rate of NOX in the exhaust can reach nearly 79%. Through Fuzzy Logic Toolbox of MATLAB/Simulink (Fuzzy Logic Toolbox) engine emissions of Fuzzy inference system (FIS), then it is introduced into the Fuzzy Logic Controller (Fuzzy Logic Controller) in emission control, the simulation results show that under the condition of Fuzzy control, engine NOX emissions of nitrogen oxides, carbon monoxide, CO and HC hydrocarbons under the VI standard 8.9%, 4.0% and 5.0%, so as to improve the diesel car of environmental protection. Show more

Keywords: Injection pressure, injection time, exhaust gas, SCR, fuzzy control

DOI: 10.3233/JIFS-189710

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4501-4510, 2021

Authors: Chen, You Ying | Xu, Bing | Long, Jun

Article Type: Research Article

Abstract: Network security issues have become increasingly prominent, and information security risk assessment is an important part of network security protection. Security risk assessment based on methods such as attack trees, attack graphs, neural networks, and fuzzy logic has problems such as difficulty in data collection during the assessment process, excessive reliance on expert experience, failure to consider the actual network environment, or ineffective joint application. The qualitative and quantitative information security fuzzy comprehensive evaluation method uses the theory of fuzzy mathematics to better solve the above problems, so that the evaluation method is scientific, comprehensive and operable. To improve the …accuracy of information security risk assessment in wireless sensor networks, we propose a fuzzy comprehensive evaluation method based on Bayesian attack graphs. This considers the impact of environmental factors of the assessed system on security risk and the spread of the effects on the Bayesian network. Therefore, this model can reflect possible situations due to network attacks in the wireless sensor network system. The results show that this quantitative evaluation method is applicable to assessing risk in wireless sensor network systems, and the results are more objective and accurate. Show more

Keywords: Information security, wireless sensor networks, fuzzy comprehensive evaluation, dynamic security risk assessment, bayesian network, attack graph

DOI: 10.3233/JIFS-189711

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4511-4517, 2021

Authors: Zhang, Jiansai | Guo, Lu | Lyu, Tingjie

Article Type: Research Article

Abstract: Nowadays, the Expansion and evolution of the global financial system oblige lenders to develop stricter requirements for assessing creditworthiness of borrowers. This paper analyses the problems prevalent in the existing credit models of coastal cities in China Pearl River Delta, including data centralization, difficulties in detecting forged data and delay in data transmission; we constructed a CDDC model based fuzzy sets that employs all the issues. The related results showed that the technology fuzzy sets decentralizes and expands data sources, acquires and processes data automatically and self-perfects its ability to rank borrowers into cohorts of creditworthiness. Moreover, the CDDC model …out-performs the traditional model in assessing creditworthiness and reducing delinquencies and defaults. That means our fuzzy sets model employs decentralized data sources, destroys historical data regularly and facilitates training and improvement. It ranks creditworthy borrowers in a better fashion than the statistics-based traditional credit model. Show more

Keywords: Credit identification, block chain, CDDC model, fuzzy sets

DOI: 10.3233/JIFS-189712

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4519-4525, 2021

Authors: Li, Junpeng | Zhu, Kaiyan | Wang, Fei | Jiang, Fengjiao

Article Type: Research Article

Abstract: Overfishing of marine fishery is a serious threat to fishery ecological security. Fishing supervision is one of the main ways to maintain marine fishery ecology. In order to improve the intelligence of fishing supervision system, a real time fish detection method based on YOLO-V3-Tiny-MobileNet was proposed. Aiming at the problems of shallow network layers and insufficient feature extraction ability in YOLO-V3-Tiny network, the proposed network takes YOLO-V3-Tiny as baseline and combines it with MobileNet. The proposed network is pre-trained by VOC2012 dataset, and then retrained and tested on Kaggle_ NCFM (The Nature Conservancy Fisheries Monitoring) dataset. The experimental results show …that the proposed method has superior performance in parameters number, mean average precision and detection performance, compared with other methods. Compared with the monitoring method of fishing vessel detection on shore supervision, the real time monitoring method can give timely warning to the fishing vessel operators, which is more conducive to fishery ecological protection. Show more

Keywords: Marine fishery, fishing supervision, real time fish detection, YOLO-V3-Tiny, MobileNet

DOI: 10.3233/JIFS-189713

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4527-4532, 2021

Authors: Ou, Hongshi | Sun, Jifeng

Article Type: Research Article

Abstract: In the deep learning-based video action recognitio, the function of the neural network is to acquire spatial information, motion information, and the associated information of the above two kinds of information over an uneven time span. This paper puts forward a network extracting video sequence semantic information based on deep integration of local Spatial-Temporal information. The network uses 2D Convolutional Neural Network (2DCNN) and Multi Spatial-Temporal scale 3D Convolutional Neural Network (MST_3DCNN) respectively to extract spatial information and motion information. Spatial information and motion information of the same time quantum receive 3D convolutional integration to generate the temporary Spatial-Temporal information …of a certain moment. Then, the Spatial-Temporal information of multiple single moments enters Temporal Pyramid Net (TPN) to generate the local Spatial-Temporal information of multiple time scales. Finally, bidirectional recurrent neutral network is used to act on the Spatial-Temporal information of all parts so as to acquire the context information spanning the length of the entire video, which endows the network with video context information extraction capability. Through the experiments on the three video action recognitio common experimental data sets UCF101, UCF11, UCFSports, the Spatial-Temporal information deep fusion network proposed in this paper has a high correct recognition rate in the task of video action recognitio. Show more

Keywords: Video action recognition, spatial-temporal information deep fusion, deep learning

DOI: 10.3233/JIFS-189714

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4533-4545, 2021

Authors: Bai, Baodan | Zhao, Yufang | Chen, Xinrong | Chen, Yingmin | Luo, Zhangyuan

Article Type: Research Article

Abstract: In this paper, a smart low-power wearable ECG monitoring and analyzing system which has an advanced architecture and low power consumption has been developed. There is a single channel ECG monitor that removes all loose wires from the system and minimizes the footprint on the user, ECG data can be continuously monitored for up to 14 days without affecting daily life. In addition, Bluetooth low energy (BLE), smartphone APP, analysis software and management platform have been added to the system for remote monitoring and whole process of heart health management. Clinical test to compare our wearable monitor with the Holter …recorder are conducted on 108 groups under different ambulatory conditions. The results confirmed that it is equivalent to Holter in the clinical diagnosis of arrhythmia. This system can free patients from the short-range monitoring with lead wire entanglement to realize the long-term detection in daily life, early detection and early intervention; more convenient connections between patients and doctors, efficient use of medical resources, remote monitoring to reduce the burden of the medical and health system. Show more

Keywords: ECG monitoring system, smart wearable device heart diseases, 24 hours Holter, long-term monitoring

DOI: 10.3233/JIFS-189715

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4547-4557, 2021

Authors: Chen, Ying

Article Type: Research Article

Abstract: At present, resource configuration of mobile cloud computing has received extensive attention from the outside world. Most of the similar resource scheduling configuration fails to comprehensively consider the dynamics of mobile terminals and the difference in user requested resources. Therefore, considering uncertainty in paging scheduling under mobile cloud resource environment from the perspective of consumers has become the key to solving the problem of resource allocation in the mobile cloud computing environment. This paper proposes an adaptive matching resource allocation algorithm based on uncertain factors under mobile cloud computing environment. Uncertain factors of the mobile terminal are derived via QoS …attribute, and then user information and load characteristics of the user requested resources are analyzed through CLIQUE similarity matching. Afterwards, based on the mapping between similarity and resources, resource paging allocation can be carried out based on adaptive matching resource allocation algorithm. From the perspective of consumers, dynamics of mobile terminals and uncertainty of paging scheduling in the mobile cloud resource environment under different user requested resources can be considered to allow minimized delay and optimized paging strategies. Show more

Keywords: Mobile cloud computing, uncertain factors, resource scheduling, paging strategy

DOI: 10.3233/JIFS-189716

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4559-4564, 2021

Authors: Ji, Xun | Shao, Chunfu

Article Type: Research Article

Abstract: Frequent occurrence of urban rainy weather, especially rainstorm weather, affects transportation operation and safety, so it is essential that effective intervention measures to recover disordered traffic be adopted and then analyzed for their influence on the dynamic network. Therefore, models and algorithm to show dynamic traffic flow of traffic network in rainy weather are a fundamental need and have drawn great interest from governments and scholars. In this paper, innovative content contains a travel cost function considering rainfall intensity; considering the travel cost function, a dynamic traffic assignment model based on dynamic rainfall intensity is built. Then a corresponding algorithm …is designed. Moreover, this study designs three scenarios under rainfall and analyzes the influence of the rainfall on an example network. The results show that rainfall has a significant effect on traffic flow. The finding proved the proposed models and algorithm can express the development trend of path flow rate on a dynamic network under rainfall. Show more

Keywords: Traffic network, rainfall intensity, travel cost, iterative loading algorithm

DOI: 10.3233/JIFS-189717

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4565-4575, 2021

Authors: Yin, Tingting | Yang, Zhong | Wu, Youlong | Jia, Fangxiu

Article Type: Research Article

Abstract: The high-precision roll attitude estimation of the decoupled canards relative to the projectile body based on the bipolar hall-effect sensors is proposed. Firstly, the basis engineering positioning method based on the edge detection is introduced. Secondly, the simplified dynamic relative roll model is established where the feature parameters are identified by fuzzy algorithms, while the high-precision real-time relative roll attitude estimation algorithm is proposed. Finally, the trajectory simulations and grounded experiments have been conducted to evaluate the advantages of the proposed method. The positioning error is compared with the engineering solution method, and it is proved that the proposed estimation …method has the advantages of the high accuracy and good real-time performance. Show more

Keywords: Ordnance science and technology, high precision, roll attitude estimation, PMSG, hall-effect sensor, relative roll dynamic model

DOI: 10.3233/JIFS-189718

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4577-4585, 2021

Authors: Li, Chongchong | Xiong, Jiangyong | Liu, Tingshan | Zhang, Ziang

Article Type: Research Article

Abstract: In order to further improve vehicle ride performance, a dynamic monitoring feedback iteration control algorithm is proposed by combining the features of a variable-damping semi-active suspension system and applying them to the system. A seven-degree-of-freedom finished vehicle simulation model is built based on MATLAB/Simulink. The root-mean-square values of the acceleration of the sprung mass, the dynamic travel of the suspension and the dynamic tire load are taken as evaluation indicators of vehicle ride performance. An analytic hierarchy process (AHP) is used to determine the weighting coefficients of the evaluation indicators, and a genetic algorithm is utilized to determine the optimal …damping of the suspension under various typical working conditions. Suspension damping is controlled with a dynamic monitoring feedback iteration algorithm. The correction coefficients of the control algorithm are determined according to the deviation between the obtained damping and the optimized damping so that the control parameters will agree with the optimal result under typical working conditions, and the control effect under other working conditions is verified. The simulation results indicate that the proposed dynamic monitoring feedback iteration control algorithm can effectively reduce the root-mean-square value of the acceleration of the sprung mass by 10.56% and the root-mean-square value of the acceleration of the dynamic travel of the suspension by 11.98% under mixed working conditions, thus improving vehicle ride performance. The study in this paper provides a new attempt for damping control of semi-active suspension and lays a theoretical foundation for its application in engineering. Show more

Keywords: Semi-active suspension, controlled damping, dynamic monitoring feedback iteration, analytic hierarchy process, genetic algorithm, ride performance

DOI: 10.3233/JIFS-189719

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4587-4595, 2021

Authors: Hua, Xing | Yue, Qi

Article Type: Research Article

Abstract: Based on a survey database of cross-border acquisitions by Chinese private firms, this study uses a fuzzy-set qualitative comparative analysis (fsQCA) to explore the holistic impact of acquisition ownership, organizational factors and environmental factors on acquisition performance in cross-border acquisitions. It is found that the cross-border acquisitions taken by Chinese private enterprises have four kinds of acquisition ownership strategies leading to high acquisition performance under different internal and external conditions. This study points out that ownership strategy is a key decision affecting cross-border acquisition performance and provides a variety of paths leading to the same outcome rather than just finding …the linear relationship between corporate activity and performance. This study supports the assumption of equivalence, and reveals a variety of scenarios in which cross-border acquisition ownership contributes to the outcome of high cross-border acquisition performance, and further confirms the view of causal asymmetry between condition and outcome. This study reveals whether the proportion of cross-border acquisition ownership affects cross-border acquisition performance and under what circumstances is conducive to the realization of expected cross-border acquisition performance. Show more

Keywords: Fuzzy-set qualitative comparative analysis (fsQCA), acquisition ownership, acquisition performance, cross-border acquisition

DOI: 10.3233/JIFS-189720

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4597-4607, 2021

Authors: Xia, Yingchun | Xie, Zhiqiang | Xin, Yu | Zhang, Xiaowei

Article Type: Research Article

Abstract: The customized products such as electromechanical prototype products are a type of product with research and trial manufacturing characteristics. The BOM structures and processing parameters of the products vary greatly, making it difficult for a single shop to meet such a wide range of processing parameters. For the dynamic and fuzzy manufacturing characteristics of the products, not only the coordinated transport time of multiple shops but also the fact that the product has a designated output shop should be considered. In order to solve such Multi-shop Integrated Scheduling Problem with Fixed Output Constraint (MISP-FOC), a constraint programming model is developed …to minimize the total tardiness, and then a Multi-shop Integrated Scheduling Algorithm (MISA) based on EGA (Enhanced Genetic Algorithm) and B&B (Branch and Bound) is proposed. MISA is a hybrid optimization method and consists of four parts. Firstly, to deal with the dynamic and fuzzy manufacturing characteristics, the dynamic production process is transformed into a series of time-continuous static scheduling problem according to the proposed dynamic rescheduling mechanism. Secondly, the pre-scheduling scheme is generated by the EGA at each event moment. Thirdly, the jobs in the pre-scheduling scheme are divided into three parts, namely, dispatched jobs, jobs to be dispatched, and jobs available for rescheduling, and at last, the B&B method is used to optimize the jobs available for rescheduling by utilizing the period when the dispatched jobs are in execution. Google OR-Tools is used to verify the proposed constraint programming model, and the experiment results show that the proposed algorithm is effective and feasible. Show more

Keywords: Customized products, integrated scheduling, multiple workshop, fixed output, branch and bound

DOI: 10.3233/JIFS-189721

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4609-4617, 2021

Authors: Wang, Zhiru | Wang, Min | He, Ruyu | Bhamra, Ran S. | Yang, Lili

Article Type: Research Article

Abstract: In order to better achieve active defense in the escalator risk management, this study based on the vulnerability theory, task driven theory, management error theory, proposed a Gray Relational Analysis (GRA) based fuzzy assessment of escalator accident risk approach. The risk assessment index system of subway station escalator accident was constructed based on the commonness and essence of management defects; the weight of risk index was calculated scientifically and reasonably by using Analytic Hierarchy Process (AHP); escalator accident risk was evaluated by the combination of GRA and Fuzzy approach. The results show that escalator equipment, environment, safety knowledge of riders …are all in good condition in the station. However, ‘Maintenance’ of escalator in the Beijing subway station is in an extremely high risk level. The contributions of this studies are: (1) general risk elements analysis model for escalator accidents which enable to compose any risk factor possible to induce escalator accident in subway station; (2) GRA based risk assessment approach can avoid the problem when expend the range to left and right. It can also judge whether the continuous improvement effect of the object is significant by the difference degree of each risk level before and after. Show more

Keywords: Subway escalator incident, risk assessment, gray relational analysis (GRA), gray clustering, fuzzy method

DOI: 10.3233/JIFS-189722

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4619-4628, 2021

Authors: Li, Jingyuan

Article Type: Research Article

Abstract: In 2020, under the major impact of the global COVID-19 epidemic, people are paying more and more attention to safety issues including health and personal safety, and relevant supervision and testing methods are also constantly updated across different countries. In industrial enterprises, both spread of diseases and occurrence of accidents are largely caused by unsafe state of things and unsafe behaviors of people, among which, human factor is the most important factor. In recent years, many scholars have conducted theoretical and practical research on individual behavior from the perspective of individual psychological characteristics. Where, individual initiative as an important individual …psychological trait is increasingly incorporated in the research category of safety behavior. A close correlation exists between individual initiative and evolution of safety production behavior. According to constraint conditions and replicator dynamics equation, this paper uses evolutionary game method and computer fuzzy system Matlab simulation software to conduct numerical experiment analysis on the ideal state of the game between organizations and individuals, thereby studying the behavior evolution trend. The basic idea of fuzzy control is to use computer to realize human’s qualitative control experience. Research is found that whether an individual adopts safety obedience behavior will be directly affected by whether the organization adopts regulatory safety production management model. And if the organization adopts regulatory safety production management model and the individual does not implement safety obedience behavior, it is impossible to achieve a stable state. The evolution process of the two to the ideal state is affected by multiple factors. Show more

Keywords: Safety management, safety behavior, fuzzy system simulation, evolutionary game

DOI: 10.3233/JIFS-189723

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4629-4638, 2021

Authors: Li, Chengzheng | Peng, Ying | Peng, Peng | Cao, Lei

Article Type: Research Article

Abstract: Investigating the factors influencing the performance of social conditioning in the network environment is the core issue for improving academic performance. Through the search of existing literature, the paper analyzes the main factors that influence social conditioning learning in current research, and through the questionnaire survey and in-depth processing of the raw data, the advanced behavioral indicators related to learning are obtained and analyzed by Spearman correlation coefficient and fuzzy modeling in machine learning. The results showed that the twelve dimensions of motivation regulation, trust building, efficacy management, cognitive strategy, time management, goal setting, task strategy, peer support, team assessment, …help seeking, environment construction, and team supervision were significantly related to group performance, with team supervision having a significant negative relationship with group performance. In addition, trust building, team supervision and environment construction were the main factors for online social learning, effectiveness management, task strategy, peer support and help-seeking were the secondary factors, while motivation regulation, cognitive strategies, goal setting and team assessment had little impact on the final performance. The findings have some implications for the optimization of social conditioning learning support services and the improvement of social conditioning learning performance. Show more

Keywords: Learning analysis, online collaborative learning, socially modulated learning, machine learning

DOI: 10.3233/JIFS-189724

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4639-4649, 2021

Authors: Ding, Xiaobing | Yang, Kaihe | Hu, Hua | Liu, Zhigang

Article Type: Research Article

Abstract: There is a close relationship between the operation safety and the application of training equipment. If the relationship is not handled well, it will lead to serious problems, even the Conflicts. So designing training equipment management information system is extremely urgent. First, the main training categories are carded, such as drivers training, construction and maintenance, daily safety management, canteen safety, etc., and the basic flow chart of the 4 types of training are drawn; Second, the training equipment management database Train_Database is constructed based on training process, equipment involved, trainers, contingency plans of the 4 kinds of raw data, which …lay the foundation for the follow-up of the management information system design and development; Third, the training equipment declaration and management system is developed, which is called Training_Equipment_MS, and the main modules are: equipment resource information management module, equipment declaration module, equipment audit module, safety check form filling module, equipment declaration results publicity module, etc. Finally, the functions of each module are shown in details. It has good practical guidance to the application and operation of rail transit, which can reduce accidents and hidden danger in the course of training. Show more

Keywords: Rail transit training, safety management of equipment, resource declaration and audit, design and development of system

DOI: 10.3233/JIFS-189725

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4651-4659, 2021

Authors: Jia, Susan (Sixue) | Wu, Banggang

Article Type: Research Article

Abstract: In order to reach a compromise between adhering to the traditional culture and embracing the modern lifestyle, more and more Asian moms are heading towards postpartum care centres for postpartum recovery. However, research regarding the quality of care of these postpartum care centres is nearly missing from the literature. This paper investigated the status quo of the postpartum care centres in Shanghai, China from mothers’ perspectives by means of analysing the 34280 pairs of ratings and reviews posted by postpartum care centre customers on the internet with machine learning and text mining. Results show that the mothers are generally satisfied …with the studied care centres. Meanwhile, the 13 major topics in the customer online reviews were identified, which provide an overview of the interaction between a mother and a care centre. In addition, weight of topic analysis suggests that the studied care centres can further improve in the areas of support team, environment, and facility. Show more

Keywords: User-generated content, text mining, postpartum care, latent Dirichlet allocation

DOI: 10.3233/JIFS-189726

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4661-4668, 2021

Authors: Chen, Yingjiao | Liang, Hu

Article Type: Research Article

Abstract: Rural revitalization is an attempt by China’s rural reform plan. Among them, the pastoral complex emphasizes the integration of agriculture and tourism, extends the agricultural chain, and integrates health care, technology, tourism, creativity, and leisure. However, the pastoral complex is faced with solving rural-urban integration in the context of the current rural revitalization strategy, involving complex factors such as land, ecological, cultural, and social issues. Therefore, this study analyzes the complex factors affecting the pastoral complex. Fuzzy calculation theory is introduced in the pastoral complex to discuss the pastoral complex system’s operational characteristics and further explore how to build an …adaptive system evaluation system at different system levels. Considering that the process needs to consider several Conflicting factors from qualitative to quantitative, to deal with the uncertainty of human judgment in the evaluation process, the process uses fuzzy analytical hierarchy process to obtain the weight of each factor and understand the degree of influence of each factor. The research results show that various factors have different degrees of influence on the pastoral complex. Therefore, in the complex pastoral process, more attention should be paid to the operation mechanism factors to make the complex pastoral system more scientific. Show more

Keywords: Fuzzy calculation, rural revitalization, pastoral complex, FAHP

DOI: 10.3233/JIFS-189727

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4669-4678, 2021

Authors: Zong, Ke | Kong, Ye

Article Type: Research Article

Abstract: This research focus on the formation mechanism and intervention strategy of coal miners’ job burnout, based on a simulation study using system dynamics method. The simulation result indicates that, work assignment alienation has higher sensitivity to intervention strategies than other elements of coal miners’ job burnout, while health damage is least sensitive to intervention. The top three adoptable strategies shall be reasonable working hours, self-psychological adjustment, and psychological counseling program. As the impact of one intervention strategy weakens with time, it is necessary to constantly change intervention strategies or to adopt a strategy combination to intervene miners’ burnout. This study …explains the formation mechanism of coal miners’ job burnout and offers targeted advice for coal enterprises, aiming to effectively improve their safety management mechanism and to reduce casualties. Show more

Keywords: Coal miners, job burnout, intervention strategy, system dynamics, simulation

DOI: 10.3233/JIFS-189728

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4679-4689, 2021

Authors: Zhu, Wenye | Tan, Chengxiang | Xu, Qian | Xiao, Ya

Article Type: Research Article

Abstract: The cross-trust domain environment in which heterogeneous identity alliances are located often does not have a completely trusted centralized trust root, and different trust domains and entities also have specific security requirements. In view of the above problems, we believe that trust measurement of cross-domain identities based on risk assessment is an effective method to achieve decentralized proof of user identities in heterogeneous cyberspace. There are various risk assessment models. We choose the more mature attack graph theory in the existing research to apply to the new field of cross-trust domain management of heterogeneous identities. We propose an attribute attack …graph evaluation model to evaluate cross-domain identities through risk measurement of attributes. In addition, heterogeneous identity alliances also have architectural risks, especially the risk of decentralized underlying structures. In response to this problem, we identify the risk of the identity alliance infrastructure, and combine the risk assessment and presentation system design to verify the principle. Show more

Keywords: Heterogeneous identity alliance, attribute attack graph, proof of identity, cyber security assessment, trust management

DOI: 10.3233/JIFS-189729

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4691-4704, 2021