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

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