检索结果-内蒙古大学图书馆

A study on fuzzy algorithm of traffic assignment model

JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS 1997年第2期20卷 139-149页

作者： Chang, MS Chen, HK Department of Civil Engineering National Central University Chung-Li Taiwan 320 R.O.C.

This paper describes the solution of the traffic assignment model under fuzzy information. The assumption about perfect network information is relaxed. The fuzzy algorithm, successive representative method, is proposed in this study. This algorithm assigns a set of O-D trip rates to a transportation network in which the link travel times are fuzzy. The assignment assumes that route choice is based on fuzzy link travel times. The fuzzy travel times are modeled not only as fuzzy numbers, but also as flow dependence. This dependence is accounted for by assuming that the fuzzy travel time for each link is a fuzzy mapping of the flow on that link. Four fuzzy operations are used in the successive representative method, including fuzzy addition, fuzzy multiplication, fuzzy comparison and defuzzification. Our algorithm is exemplified by the road network around Osaka. Sensitivity analysis of the algorithm are also presented.

关键词： traffic assignment model fuzzy algorithm fuzzy travel time fuzzy mapping

来源：评论

学校读者我要写书评

暂无评论

Control strategy based on improved fuzzy algorithm for energy control of wrist rehabilitation robot

引用

ALEXANDRIA ENGINEERING JOURNAL 2023年 77卷 634-644页

作者： Ren, Hao Zhang, Haimin Xinxiang Med Univ Coll Phys Educ Xinxiang 453003 Henan Peoples R China Henan Inst Sci & Technol Xinxiang 453000 Henan Peoples R China

With the complex changes in social and demographic structure, the problem of aging is becoming increasingly serious, and the demand for equipment in the field of medical rehabilitation is also increasing. Given the above situation, various countries have proposed using rehabilitation robots to assist patients in treatment, and have achieved certain results. The rehabilitation robot helps the injured area gradually recover autonomous movement through repeated auxiliary actions, thereby achieving the goal of physical rehabilitation training. However, most robot configurations face insufficient energy and power, as well as bulky and inflexible equipment. Based on the above issues, this article adopts an improved fuzzy algorithm control strategy to optimize the energy storage device and applies the energy system to the wrist rehabilitation training robot device. Firstly, a fuzzy adaptive algorithm is added to the traditional energy controller to combine system control with operational status, achieving precise control and dynamic adjustment of energy allocation. The research has added filter optimization design, which improves the accuracy and effectiveness of fuzzy algorithms. Finally, this article establishes an upper limb motion model of the rehabilitation robot and configures relevant hardware systems. At the same time, this article also uses manufacturing materials that meet functional requirements to construct auxiliary equipment. The results indicate that the improved fuzzy algorithm can improve the auxiliary effect in energy control of wrist rehabilitation robots. It has obvious advantages in the process of wrist rehabilitation training.

关键词： Rehabilitation robot Rehabilitation training fuzzy algorithm Control strategy Energy control

来源：评论

学校读者我要写书评

暂无评论

Data stable aggregation algorithm based on fuzzy algorithm in cloud computing

引用

JOURNAL OF INTELLIGENT & fuzzy SYSTEMS 2020年第6期38卷 7935-7944页

作者： Wang, Yu Hanjiang Normal Univ Dept Comp Sci Shiyan 442000 Peoples R China

In order to improve the ability of cloud computing data scheduling, this paper proposes a new method for multi-task, multi-level cloud computing data aggregation based on fuzzy association feature extraction. Heterogeneous directed graph analysis method is used to design cloud computing data. The semantic correlation fusion method is used to implement cloud computing data feature extraction and adaptive scheduling. The fuzzy clustering is used to process the characteristic amount of cloud computing data, and the optimal aggregation of cloud computing data is realized. Simulation results show that the method has a higher recall rate for multi-task and multi-level cloud data aggregation, and the highest recall rate can reach 1, which improves the accuracy of resource aggregation.

关键词： Cloud computing fuzzy algorithm data stable convergence clustering

来源：评论

学校读者我要写书评

暂无评论

Virtual musculoskeletal control model with a spindle-like fuzzy algorithm for robotic compliance

引用

APPLIED MATHEMATICAL MODELLING 2015年第12期39卷 3265-3279页

作者： Xu, Dong Zhang, Shaoguang Wei, Hongxing Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China Beihang Univ Mech Engn & Automat Inst Beijing 100191 Peoples R China

Robot manipulators should comply with the environment when working with humans. However, compliance control is a difficult problem for robots and thus it was investigated in the present study. We propose a virtual musculoskeletal control model from the perspective of bionics to facilitate the compliance of the robotic manipulator. The musculoskeletal system of the human forearm is simplified as a closed-loop control system with three parts: the central nervous system, muscles, and spindle. A mathematical model is deduced and integrated with the dynamic model of the robot manipulator. The control model also comprises three parts: the first part compensates for the Coriolis force and gravity;the second part provides stiffness to regulate the deviation;and the third part imitates the feedback from the spindle to comply with the environment. A fuzzy controller is designed based on the muscle and spindle model to obtain spindle-like feedback. Our simulation results demonstrate that the spindle-like fuzzy algorithm can adapt to the environmental constraints by imitating the function of the neural muscular system. This virtual musculoskeletal methodology allows accurate path control, but it also ensures the compliance of the robotic manipulator. These characteristics are helpful for allowing robot manipulators to cooperate with humans. (C) 2014 Elsevier Inc. All rights reserved.

关键词： Control methodology fuzzy algorithm Robotic compliance Spindle-like Virtual musculoskeletal

来源：评论

学校读者我要写书评

暂无评论

Optimization of Control Strategy for Fuel Cell Vehicles by Integrating fuzzy algorithm

引用

IEEE ACCESS 2024年 12卷 141952-141965页

作者： Wu, Qiong Chen, Hua Liu, Baolong Xian Technol Univ Sch Mechatron Engn Xian 710021 Peoples R China

Fuel cell vehicles have rapidly occupied the market with advantages such as environmental protection and energy conservation. However, their battery technology is insufficient and their endurance is poor, making them unsuitable for use over long distances. To address the aforementioned issues, a fuel cell vehicle energy storage system based on super-capacitors was constructed. Meanwhile, a proportional integral derivative controller based on fuzzy algorithms was established. Finally, the particle swarm optimization algorithm was used to optimize the fuzzy control strategy that integrated the fuzzy algorithm. When using the optimized fuzzy control strategy for simulation, the peak power of the fuel cell output power was reduced from 3.8kW to 2.0kW. The remaining power of the super-capacitor remained stable within a reasonable range throughout the entire operating condition. Under the new European urban road cycle, the optimized control strategy improved energy recovery performance by 4.3% and reduced hydrogen consumption by 0.9964%. Under the United States federal environmental protection agency standardized urban cycle conditions, the optimized control strategy improved the braking energy recovery efficiency index and effective braking energy recovery efficiency by 8.9% and 6.3%, respectively. The percentage reduction in hydrogen consumption was 0.9433%. Therefore, this research method can effectively reduce hydrogen consumption and improve the product economy and market competitiveness of enterprises.

关键词： Batteries Fuel cells Energy storage Mathematical models Supercapacitors Fuel cell vehicles Hydrogen Voltage Periodic structures Optimization Environmental monitoring fuzzy algorithm fuel cell vehicles optimization of control strategy particle swarm optimization algorithm super-capacitor

来源：评论

学校读者我要写书评

暂无评论

Regional flow control in peak travel period based on fuzzy algorithm

引用

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2022年 126卷 279-283页

作者： Jiang, Chunhong Ren, Guanghao Jilin Engn Normal Univ Coll Businesss Adm Jilin 130052 Jilin Peoples R China Sehan Univ Dept Business Sci Mokpo 58447 South Korea

The existing methods cannot accurately output the state of traffic lights at multi moments, which leads to a long average waiting time and a large number of stops in the peak travel period. Therefore, a regional flow control method of peak travel period based on fuzzy algorithm is proposed. Firstly, the multi-scale prediction method was used to predict the flow in peak travel period. Then, a two-level fuzzy controller for the regional coordination of peak travel period was constructed, and the traffic flow information between adjacent intersections and the predicted remaining time period were set as the input of the fuzzy controller. Next, the two-level controller was used to output the green light phase of the next moment, so as to adjust the traffic flow and integration degree between the upstream and downstream of the adjacent intersections in the control sub-region of the peak travel period. Finally, the regional coordinated control of the flow in the peak travel period was realized. The simulation results showed that the proposed method could comprehensively reduce the average waiting time, average driving time, average number of stops and intersection saturation, and better realize the flow control during peak travel period. (C) 2021 Elsevier B.V. All rights reserved.

关键词： fuzzy algorithm Peak travel period Regional flow control fuzzy controller

来源：评论

学校读者我要写书评

暂无评论

A human-machine cooperative system for generating sign language animation using thermal image processing, a fuzzy algorithm, and simulated annealing

引用

ARTIFICIAL LIFE AND ROBOTICS 2012年第4期16卷 486-492页

作者： Asada, Taro Yoshitomi, Yasunari Kyoto Prefectural Univ Grad Sch Life & Environm Sci Div Environm Sci Sakyo Ku Shimogamo Kyoto 6068522 Japan

We propose a method for a sign language animation by skin region detection applied to an infrared thermal image. In a system incorporating the proposed method, a 3D CG model corresponding to a person's characteristic posture while using sign language is generated automatically by pattern recognition of the thermal image, and then a person's hand in the CG model is set. The hand part is made manually beforehand. If necessary, the model can be replaced manually by a more appropriate model corresponding to training key frames, and/or the same generated model can be refined manually. In our experiments, three hearing-impaired people, who were experienced in using sign language, recognized the Japanese sign language gestures of 70 words expressed as animations with 94.3% accuracy. We further improved the system by correcting the position and direction of the hand of the automatically generated model through the use of a fuzzy algorithm and simulated annealing.

关键词： Japanese sign language Thermal image processing Computer graphics Model fitting fuzzy algorithm Simulated annealing

来源：评论

学校读者我要写书评

暂无评论

MOOC online English teaching quality evaluation method based on fuzzy algorithm

引用

INTERNATIONAL JOURNAL OF CONTINUING ENGINEERING EDUCATION AND LIFE-LONG LEARNING 2024年第2-3期34卷 155页

作者： Wei, Feng Yongcheng Vocat Coll Yongcheng 476600 Henan Province Peoples R China

In order to overcome the problems of low accuracy and long evaluation time of MOOC online English teaching quality evaluation, this paper proposes a MOOC online English teaching quality evaluation method based on fuzzy algorithm. Firstly, the mean method is used to calculate the cluster centre of MOOC online English teaching quality evaluation samples and the evaluation sample selection is realised by outlier detection. Secondly, the 1-9 scale method is used to compare the importance of English teaching quality evaluation indicators, so as to realise the stratification of importance level. The fuzzy discrimination matrix is constructed and the weight vector of the judgement matrix is calculated. Finally, the MOOC online English teaching quality evaluation is realised by fuzzy algorithm. The experimental results show that the accuracy of this method is 98.16%, and the evaluation time is only 1.5 min.

关键词： variance measure fuzzy algorithm 1-9 scale method fuzzy discriminant matrix outlier detection

来源：评论

学校读者我要写书评

暂无评论

A MOOC online teaching quality evaluation method based on fuzzy algorithm

引用

INTERNATIONAL JOURNAL OF CONTINUING ENGINEERING EDUCATION AND LIFE-LONG LEARNING 2024年第2-3期34卷 275页

作者： Guo, Yang Changchun Coll Elect Technol Sch Marxism Changchun 130000 Peoples R China

MOOC is a new method of online evaluation, which takes a long time to evaluate the quality of traditional teaching. For MOOC online teaching quality, an evaluation system is established under the principle of evaluation index selection and 19 evaluation indexes such as interface and navigation, knowledge management function, reminder function and mobile terminal function are obtained. After preprocessing the obtained evaluation indexes, the evaluation factor set is determined, then the evaluation index weight is calculated according to the index weight evaluation standard, and its consistency is tested. Finally, according to the test results, the MOOC online teaching quality evaluation model is established under the fuzzy evaluation rules. The experiment shows that the evaluation accuracy of the proposed method can reach 98%, the evaluation effect is good, and the evaluation time is short.

关键词： fuzzy algorithm MOOC online teaching quality evaluation consistency test

来源：评论

学校读者我要写书评

暂无评论

Application of fuzzy algorithm in Hydraulic Synchronous Lifting System Based on Internet 17

Application of Fuzzy Algorithm in Hydraulic Synchronous Lift...

引用

17th IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC)

作者： Shi, Li Yu, Xiaoze Bi, Xiaowei Inner Mongolia Univ Nationl Tongliao 028000 Inner Mongolia Peoples R China

ISBN: (纸本)9781728186160

As a new type of synchronous lifting tool, hydraulic synchronous jacking system has the advantages of synchronization, stability, speed and safety compared with the traditional Jack and other tools. It is especially suitable for work pieces and products with large volume, large weight and high stability requirements, and plays a very important role in the process of China's modernization. Through analysis and simulation test, the results show that the hydraulic synchronous lifting system based on fuzzy algorithm technology can meet the working requirements.

关键词： Hydraulic Synchronous Lifting System fuzzy algorithm Simulation Test fuzzy Control

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：