International Journal of Fuzzy Logic and Intelligent Systems最新文献_第10页

Monitoring of bearing fatigue life based on hidden Markov model 基于隐马尔可夫模型的轴承疲劳寿命监测

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-189815

Jie Hu, Si-er Deng

引用次数: 0

Robotic arm dynamics modelling and robust control based on model recognition method 基于模型识别方法的机械臂动力学建模与鲁棒控制

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-219069

Y. Ge, Jing Zhang

{"title":"Robotic arm dynamics modelling and robust control based on model recognition method","authors":"Y. Ge, Jing Zhang","doi":"10.3233/JIFS-219069","DOIUrl":"https://doi.org/10.3233/JIFS-219069","url":null,"abstract":"This paper analyzes the dynamics modelling and robust control of the robotic arm by using a model-based defines method. Firstly, the motion coupling relationship between the front and rear joints of the robotic arm is analyzed, and two kinds of motion decoupling modules based on planetary gear and pulley system are proposed, and the decoupling principle of the motion decoupling module is analyzed to realize the mechanical decoupling of the joint motion of the robotic arm. After that, a comprehensive test bench of two-degree-of-freedom robotic arm joint motion is constructed, and the factors influencing the decoupling effect of the mechanical decoupling module are analyzed through experiments to verify the effectiveness of the motion decoupling module. At the same time, the analysis also shows that: with the increase of the number of robotic arm joints, the number and volume of required decoupling modules increase, and the application of decoupling modules will significantly increase the volume, weight, and torque loss of the robotic arm, thus leading to the robotic arm’s large load to weight ratio which is not an advantage, therefore, mechanical decoupling is not suitable for robotic arms with more than 3 degrees of freedom. The design of a fuzzy incremental controller based on the model dialectic method is proposed for application in parallel robot control; it has universal approximation characteristics and can self-organize the velocity and position information of the parallel robot legs, and dynamically adjust the output of the controller by the designed affiliation function and control rules.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78500501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

AI with Robotics for leg support to skiers and snowboarders 为滑雪者和单板滑雪者提供腿部支持的人工智能机器人

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-219012

Shuo Liu, Zhenzhong Liu, J. Daniel, K. Thilak

{"title":"AI with Robotics for leg support to skiers and snowboarders","authors":"Shuo Liu, Zhenzhong Liu, J. Daniel, K. Thilak","doi":"10.3233/JIFS-219012","DOIUrl":"https://doi.org/10.3233/JIFS-219012","url":null,"abstract":"In general, Robotics is the area concerned with the linking of perception to action, and AI must have a central role in Robotics if the association is to be intelligent. Skiing and Snowboarding are famous winter games worldwide, enjoyed by participants of all ages and skill levels. Leg dominance has been recounted as a probable risk factor in downhill skiers for lower-limb injuries. Furthermore, snowboarders are more likely to injure their ankles than alpine skiers. To overcome these issues, in this paper, the Artificial Intelligence assisted Statistical model (AIASM) has been proposed to the smart robotic supporting leg for skiers and snowboarders. This paper introduces the concept and study of a robotic modular leg (RML) system with a reduced degree of freedom (DOF). The RML gives a perspective on physics that uses dynamic skiing methods and strategies to produce functional ski movements. Kinematic and dynamic models for the leg system are developed and used for modeling tendency, angle, and measurement, unweighting technique to create balanced and realistic curvature turns and peaks. The experimental results show that the suggested system has a performance rate of 95.31% with different ski movements at various intervals, curves, diameters, and peak shapes for tracking the desired footpath.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75217763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent financial decision support system based on data mining 基于数据挖掘的智能财务决策支持系统

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-189838

Cheng-xuan Geng, Yunkai Xu, N. Metawa

{"title":"Intelligent financial decision support system based on data mining","authors":"Cheng-xuan Geng, Yunkai Xu, N. Metawa","doi":"10.3233/JIFS-189838","DOIUrl":"https://doi.org/10.3233/JIFS-189838","url":null,"abstract":"With the development of information technology, intelligent control technology is the comprehensive application of modern management techniques and methods. This paper mainly studies the intelligent financial decision support system based on data mining. This paper mainly introduces data mining technology, an intelligent financial decision support system and the application of data mining technology in an intelligent financial decision support system. The intelligent financial decision support system proposed in this paper uses a relational database to store massive business data, to improve the system expansion ability. By using mathematical model and data mining technology, an intelligent financial decision support system can automatically analyze data, discover the internal relationship between data, and mine the model that plays an important role in prediction and decision-making behavior, to establish a new business model, help decision-makers to make marketing strategies in line with the market and make correct decisions. The experimental results show that: the actual total profit of the company in 2019 is 43.37 million yuan, and the predicted total profit in 2019 is 43.38 million yuan. The similarity between the actual total profit in 2019 and the predicted total profit in 2019 is 99.98%. In 2019, the company’s sales revenue is 37.61 million yuan. The predicted sales revenue in 2019 is 37.62 million yuan, which is 99.97% similar to the actual sales revenue in 2019. The managers of the company can make marketing strategies and make correct decisions according to the sales revenue forecast in 2020.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75646686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Pose recognition in sports scenes based on deep learning skeleton sequence model 基于深度学习骨架序列模型的运动场景姿态识别

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-189834

Chen Li-quan, Li You, Feng Shen, Zhaoqimeng Shan, Jia-Xing Chen

{"title":"Pose recognition in sports scenes based on deep learning skeleton sequence model","authors":"Chen Li-quan, Li You, Feng Shen, Zhaoqimeng Shan, Jia-Xing Chen","doi":"10.3233/JIFS-189834","DOIUrl":"https://doi.org/10.3233/JIFS-189834","url":null,"abstract":"Human skeleton extraction is a basic problem in the field of computer vision. With the rapid progress of science and technology, it has become a hot issue in the field of target detection such as pedestrian recognition, behavior monitoring, and pedestrian gesture recognition. In recent years, due to the development of deep neural networks, modeling of human joints in acquired images has made progress in skeleton extraction. However, most models have low modeling accuracy, poor real-time performance, and poor model availability. problem. Aiming at the above-mentioned human target detection problem, this paper uses the deep learning skeleton sequence model gesture recognition method in sports scenes to study, aiming to provide a gesture recognition method with strong noise resistance, good real-time performance and accurate model. This article uses motion video frame images to train the VGG16 network. Using the network to extract skeleton information can strengthen the posture feature expression, and use HOG for feature extraction, and use the Adam algorithm to optimize the network to extract more posture features, thereby improving the posture of the network Recognition accuracy. Then adjust the hyperparameters and network structure of the basic network according to the training results, and obtain the key poses in the sports scene through the final classifier.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73323474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Application of Big data scientific research analysis platform in clinical medical research 大数据科研分析平台在临床医学研究中的应用

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-189809

Jing Wang, Jie Wei, Long Li, Lijian Zhang

引用次数: 0

Simulation of English text recognition model based on ant colony algorithm and genetic algorithm 基于蚁群算法和遗传算法的英语文本识别模型仿真

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-189807

Fei Long

{"title":"Simulation of English text recognition model based on ant colony algorithm and genetic algorithm","authors":"Fei Long","doi":"10.3233/JIFS-189807","DOIUrl":"https://doi.org/10.3233/JIFS-189807","url":null,"abstract":"The difficulty of English text recognition lies in fuzzy image text classification and part-of-speech classification. Traditional models have a high error rate in English text recognition. In order to improve the effect of English text recognition, guided by machine learning ideas, this paper combines ant colony algorithm and genetic algorithm to construct an English text recognition model based on machine learning. Moreover, based on the characteristics of ant colony intelligent algorithm optimization, a method of using ant colony algorithm to solve the central node is proposed. In addition, this paper uses the ant colony algorithm to obtain the characteristic points in the study area and determine a reasonable number, and then combine the uniform grid to select some non-characteristic points as the central node of the core function, and finally use the central node with a reasonable distribution for modeling. Finally, this paper designs experiments to verify the performance of the model constructed in this paper and combines mathematical statistics to visually display the experimental results using tables and graphs. The research results show that the performance of the model constructed in this paper is good.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79866770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Correction to: An Outlier Detection Informed Aggregation Approach for Group Decision-Making 修正:群体决策的离群值检测信息聚合方法

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.1007/978-3-030-66474-9_16

Chunru Chen, Tianhua Chen, Zhongmin Wang, Yanping Chen, Hengshan Zhang

引用次数: 0

Remanufacturing system reliability analysis based on the uncertainty of part quality 基于零件质量不确定性的再制造系统可靠性分析

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-189837

Jui-Chan Huang, M. Shu, B. Hsu, Chien-Ming Hu, Meng-Chun Kao, M. M. Selim

{"title":"Remanufacturing system reliability analysis based on the uncertainty of part quality","authors":"Jui-Chan Huang, M. Shu, B. Hsu, Chien-Ming Hu, Meng-Chun Kao, M. M. Selim","doi":"10.3233/JIFS-189837","DOIUrl":"https://doi.org/10.3233/JIFS-189837","url":null,"abstract":"The remanufacturing industry is one of the important means to achieve sustainable development and resource recycling. It is of great significance to study the remanufacturing production system. This paper mainly studies the reliability of remanufacturing production system based on the uncertainty of part quality. In order to rationally arrange workshop production, minimize the maximum completion time and the cost of electricity in the production process, this study established a mixed integer linear programming model for the remanufacturing of flexible workshop based on batch processing of partial stations. In order to solve this mathematical model, the traditional genetic on the basis of the algorithm, the crossover and mutation operators of the genetic algorithm conforming to the model are designed, and finally combined with actual examples, compared with traditional batch scheduling to verify the effectiveness of the system. This research takes the remanufacturing of the Steyr engine crankshaft as the research object. Based on the uncertainty of crankshaft wear, the uncertainty of the crankshaft remanufacturing process is investigated and discussed. From the three dimensions of environment, economy and technology, from the remanufacturing process. The evaluation was carried out at the level of the process chain and the modeling process and method were verified, and the sustainability value of the worn crankshaft remanufacturing process was obtained. The remanufacturing production system experiment can show that the average sustainability values of the three batches of used crankshafts are SR1 = 0.9082, SR2 = 0.8669, SR3 = 0.7803. The system reliability analysis can provide a theoretical basis for the reliability of enterprise remanufacturing systems, and has important application and research value.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89376040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid fuzzy interface model of sports rehabilitation activities 运动康复活动的混合模糊界面模型

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-219054

Wu Shoujiang

{"title":"Hybrid fuzzy interface model of sports rehabilitation activities","authors":"Wu Shoujiang","doi":"10.3233/JIFS-219054","DOIUrl":"https://doi.org/10.3233/JIFS-219054","url":null,"abstract":"At present, the relevant test data and training indicators of athletes during rehabilitation training lack screening and analysis, so it is impossible to establish a long-term longitudinal tracking research system and evaluation system. In order to improve the practical effect of sports rehabilitation activities, this paper successively introduces the matrix normal mixed model and the fuzzy clustering algorithm based on the K-L information entropy regularization and the matrix normal mixed model. Moreover, this paper uses the expectation maximization algorithm to estimate the parameters of the model, discusses the framework, key technologies and core services of the development platform, and conducts certain research on the related technologies of the three-tier architecture. At the same time, according to the actual needs of sports rehabilitation training, this paper designs the functions required for exercise detection and prescription formulation. In addition, this paper analyzes and designs the database structure involved in each subsystem. Finally, this paper designs experiments to verify the performance of the model constructed in this paper. The research results show that the performance of the model constructed in this paper meets the expectations of model construction, so it can be applied to practice.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87868795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0