Journal of Intelligent & Fuzzy Systems - Volume 41, issue 4

Authors: Xu, Honglei | Wang, Linhuan

Article Type: Research Article

Abstract: In order to improve the accuracy of dynamic detection of wind field in the three-dimensional display space, system software is carried out on the actual scene and corresponding airborne radar observation information data, and the particle swarm algorithm fuzzy logic algorithm is introduced into the wind field dynamic simulation process in three-dimensional display space, to analyze the error of the filtering result in detail, to process the hurricane Lily Doppler radar measurement data with the optimal adaptive filtering according to the error data. The three-dimensional wind field synchronous measurement data obtained by filtering was compared with three-dimensional wind field synchronous …measurement data of the GPS dropsonde in this experiment, the sea surface wind field measurement data of the multi-band microwave radiometer, and the wind field data at aircraft altitude. Show more

Keywords: Hurricane, three-dimensional wind field, airborne doppler radar, kalman filter

DOI: 10.3233/JIFS-189977

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4915-4920, 2021

Authors: Liu, Feng

Article Type: Research Article

Abstract: The disorderly charging of large-scale electric vehicles will aggravate the peak-valley difference of the power grid, and affect the power quality and life of the transformer. The fuzzy logic control strategy for charging and discharging optimization of charging vehicles under the framework of fuzzy logic control from the perspective of the group is considered in this article. A real-time control method based on the clustering characteristics of the charging end time is proposed according to the different charging requirements of the connected electric vehicles and fuzzy logic control is adopted to solve the problem of optimal charging and discharging power …of the entire cluster and a single electric vehicle. A fuzzy logic control model considering the charging and discharging of electric vehicles is established orienting at minimize daily load fluctuations and control penalties in the upper layer. The charging and discharging cost of electric vehicle owners is considered to solve the optimal control problem of the charging and discharging power of a single electric vehicle. Taking the data of the typical regional distribution network load as an example, it is verified that the real-time charging optimization strategy under fuzzy logic control through simulation can ensure the reliable operation of the power grid while considering the interests of all parties. Show more

Keywords: Electric vehicle cluster, interaction between electric vehicle and power grid (v2 g), clustering, double-tier optimization

DOI: 10.3233/JIFS-189978

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4921-4927, 2021

Authors: Meng, Fanzi | Zhang, Yu

Article Type: Research Article

Abstract: Regarding the increasingly severe energy crisis and environmental issues, a dynamic control of the charging and discharging of electric vehicles into the grid that is universally adapted to optimal control is proposed in this study. When the charging control system is based on the load function of the current distribution network, the electric vehicles connected to the charging station are charged and deployed, and the best fuzzy control is adopted to calculate the electric power to be transmitted to each charging hub, so as to improve the load characteristics of the regional grid to reach the grid The highest efficiency …of use. Finally, after repeated trials and studies, the orderly charging and deployment system when meeting the charging requirements of electric vehicles, the load of electric vehicles can exert its flexibility. Show more

Keywords: Electric vehicle, V2G, adaptive optimal fuzzy control, orderly dynamic control, charge and discharge control

DOI: 10.3233/JIFS-189979

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4929-4936, 2021

Authors: Yu, Xiaobing

Article Type: Research Article

Abstract: Rapid progress has been made in the intelligent technology of prefabricated buildings in recent years, and the related scheduling in many fields such as component production, workshop assembly, and road transportation is used for the optimization of resources. In this paper, the prefabricated building project is taken as the research objective to analyze the constraint conditions between prefabricated building projects in detail. It is proposed that the radial basis function (RBF) fuzzy logic neural network algorithm should be introduced into the optimization of building resource scheduling. Finally, the results of the experimental analysis suggest that the proposed method can effectively …address the problem of resource scheduling in the prefabricated construction project, which can also provide a reference for the managers of prefabricated construction projects. Show more

Keywords: Prefabricated building, resource schedulin, minimum variance, rbf fuzzy logic neural network algorithm

DOI: 10.3233/JIFS-189980

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4937-4945, 2021

Authors: Wang, Leyan

Article Type: Research Article

Abstract: Potential supply chain risks are one of the hidden dangers that may undermine the reliable and stable operation of enterprises. Due to the practicality and complexity of supply chain risk management, the field has attracted wide attention from researchers. The urgent problems of supply chain management at present include how to help enterprises analyze and identify supply chain risk factors, predict and control the potential risks, and provide the corresponding preventive measures for various risks. There are many assessment methods in the research process of supply chain risks. In this paper, a multi-level fuzzy comprehensive assessment method is adopted. Based …on the current risk status of the traffic enterprises in our country, an attempt is made to apply the multi-level fuzzy comprehensive assessment method to risk assessment. The main risk factors faced by traffic enterprises in the supply chain are analyzed to obtain the assessment results, which can provide ideas for further research in the future. Show more

Keywords: Multi-level fuzzy comprehensive assessment method, traffic engineering supply chain, risk assessment

DOI: 10.3233/JIFS-189981

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4947-4954, 2021

Authors: Gao, Xianping | Bian, Xueliang

Article Type: Research Article

Abstract: With the fast development, Internet technology has become a game-changer to the automotive industry. The advances and general applications of high-precision maps make it possible for accurate real-time positioning of vehicles. Meanwhile, the extensive applications of intelligent driving technology make it easier and more intelligent to drive vehicles. This paper reviewed the application of artificial intelligence (AI) in the field of autonomous driving comprehensively and explored the innovative studies of other unmanned motion systems at the same time. Firstly, the hardware architecture of the autonomous driving system is introduced, including five modules as follows: sensing, autonomous driving computer, power supply, …signal communication, execution and braking. In addition, General Motors autonomous vehicle is used as an example to introduce its differences from the traditional vehicles in the hardware part. Subsequently, the autonomous driving software is divided into four modules according to functions: positioning, sensing, planning, and control, and the innovative application of artificial intelligence algorithms is introduced. Finally, this paper expands from autonomous driving technology and puts forward an innovative research idea for the intelligent unmanned system. Show more

Keywords: Autonomous driving, artificial intelligence, high-precision map, neural network, unmanned system

DOI: 10.3233/JIFS-189982

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4955-4964, 2021

Authors: Liu, Haiou | Zhou, Yingyu | Zhang, Yaming | Su, Yanyuan

Article Type: Research Article

Abstract: The development of blockchain technology has introduced new elements to the logistics service supply chain, which provides solutions to the related problems in the development at present. In this paper, mainly the relevant contents of blockchain technology are analyzed. At the same time, the composition and application of the logistics service supply chain algorithm based on the blockchain technology are clarified. A fuzzy logic algorithm logistics based on the rough set visual image label tracking method is put forward for container transportation to address the problems in the application process. The overall visual features of the container are taken as …the label feature, and the image segmentation transformation method is used to extract the features from the images collected from container logistics transportation, which has provided a basis for the logistics transportation visual tracking. The background is separated based on the key feature frames of the container images collected. The separated features are recorded, and the similarity of the features is used to complete the visual tracking of logistics transportation. The experimental results suggest that the application of the proposed method to the visual tracking of container logistics transportation can improve the accuracy of container tracking. Show more

Keywords: Container, logistics transportation, tracking

DOI: 10.3233/JIFS-189983

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4965-4972, 2021

Authors: Liu, Min | Xue, Weixian | He, Lisong | Yan, Xue

Article Type: Research Article

Abstract: The weighted complex network is utilized to analyze the evolution of the overall structural features of the goods export network and the role transitions of each country in the network. The research suggests: 1. The network of exports of the Belt and Road countries has transformed from multi-core pattern into one extreme along with multi-core pattern; 2. China, South Korea, Russia, Singapore and Italy are the highest-ranking countries in the network. Among these countries, the influence of China is on the rise, South Korea South Korea’s influence remains basically unchanged., however, Russia, Singapore and Italy are on the decline; 3. …The leading edge of Asia-Pacific block in the network has been enhanced year by year. Not only has the trade volume within the block increased to 50% of the whole network, but the trade export to other three blocks has significant increasement. The total volume of trade in European block increased greatly and its block mode has transformed from external to universal. The trade volume of the former Soviet Union block along with the West Asia-Africa block increased significantly as well, but there is still a large gap compared with the European block and Asia-Pacific block. Show more

Keywords: Goods export network, the belt and road initiative, weighted complex network, centrality analysis, block mode

DOI: 10.3233/JIFS-189984

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4973-4982, 2021

Authors: Lee, Hyeok-Min | Shin, Sung-Wook | Moon, Ho-Sang | Chung, Sung-Taek

Article Type: Research Article

Abstract: Computerized Cognitive Training (CCT) contents used to improve patients’ cognitive ability with Mild Cognitive Impairment (MCI) can provide customized training through individual data collection and analysis. However, studies on transfer effect of improving other untrained cognitive domains while performing the contents are insufficient. The present paper intended to collect literature published by PubMed, EMBASE, Cochrane Library, and Web of Science until December 2019 and analyze the trends of CCT and the transfer effect in each training area. Studies on CCT (82/891) have been increasing each year, and universities (60/82) in the United States (17/82) have published the most. In the …literature that reported clinical effect (18/82), the cognitive domain mostly studied was memory (14/18), and the N-Back (3/14) method accounted for most of the training contents. Moreover, the contents that showed the highest degree, closeness, and betweenness centrality (BC) indices were the memory area, and video accounted for the highest among the intervention methods. In particular, the closeness centrality (CC) index of the memory and attention contents showed similar results. It can be interpreted that the possibility of the transfer effect occurring from memory and attention areas is the highest since the semantic distance (i.e. the similarity of the training process) between the attention contents and memory contents was the closest. The effectiveness of the actual transfer effect between the memory and attention should be verified. Show more

Keywords: Computerized cognitive training, mild cognitive impairment, network centrality, text-mining

DOI: 10.3233/JIFS-189985

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4983-4993, 2021

Authors: Qingliang, Meng | Yi, Hang | Xiaojun, Chen | Qiaoyi, Cao

Article Type: Research Article

Abstract: As a new business model, crowdsourcing innovation is widely used for enterprises to complete innovation tasks by the external crowds. The enterprises, the external crowds, and the crowdsourcing platform make an alliance and co-create value to achieve the multi-win goal. Based on the operation process analysis of the third-party platform crowdsourcing innovation model, this paper proposes that the essence of crowdsourcing innovation is the value co-creation of multi-agent participation. Based on grounded theory, this paper constructs the theoretical model of the realization mechanism of multi-agent participation value co-creation in crowdsourcing innovation from the three parties’ perspective. This research finds that …value co-creation factors include six factors: task attributes, incentive mechanisms, trust mechanisms, the platform supports, participation motivation, and diversities. The process of value co-creation includes resource integration and interaction. The results of value co-creation include three elements: innovation value, knowledge value, and relationship value. Show more

Keywords: Crowdsourcing innovation, multi-agent participation, value co-creation, grounded theory

DOI: 10.3233/JIFS-189986

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4995-5006, 2021