检索结果-内蒙古大学图书馆

第41届中国控制会议

作者： Ronghua Liu Feng Pan School of automation Beijing Institute of Technology The 716th Research Institute of China State Shipbuilding Corporation Limited

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Aiming at the technical requirements of high precision,unmanned and flexible drilling on the curved surface of large-size ammunition shells,a gantry-type curved surface automatic drilling system is designed based on fuzzy *** system selects the feed displacement of the drilling spindle and the rotation speed of the drilling rotary motor as the drilling characteristic quantities,and establishes the drilling depth fuzzy alarm model through the steps of fuzzy processing,establishment of fuzzy reasoning and calculation of the fuzzy alarm query *** hardware composition and software design scheme of the drilling system are *** has been proved that this method can realize the precise control of the drilling depth of the surface of the large-size ammunition shell,and the control accuracy is 0.2 mm,which can meet the actual production needs.

关键词： fuzzy algorithm curved surface drilling depth control control system

来源：评论

学校读者我要写书评

暂无评论

Research on language analysis of English translation system based on fuzzy algorithm

引用

JOURNAL OF INTELLIGENT & fuzzy SYSTEMS 2021年第4期40卷 6039-6047页

作者： Yuan, Zhiqian Jin, Chaoyang Chen, Zhaojun Quzhou Univ Coll Foreign Languages & Int Educ Quzhou Zhejiang Peoples R China City Univ Hong Kong Coll Liberal Arts & Social Sci Hong Kong 999077 Peoples R China Yantai Nanshan Univ Sch Humanities Longkou Shandong Peoples R China

In recent years, with the rapid development of computer technology, the need for barrier-free communication between people of all countries have become more and more urgent. Therefore, it is extremely important to establish a high translation accuracy and high-quality English translation system. At present, Although the various English translation systems on the market have solved the communication problems between different languages to a certain extent, there are a series of problems such as language translation ambiguity and inaccurate use of words in translation methods, in order to improve English The translation accuracy of the translation system can improve the quality of the English translation system. This paper proposes a language analysis study of the English translation system based on fuzzy algorithms. The research of this paper firmly grasps the analysis and understanding of the language, analyzes it from the corpus, vocabulary, syntax, and translation characteristics, and fully understands its language characteristics, so as to eliminate the semantic understanding ambiguity in the translation process to a certain extent. Thereby improving the accuracy of the translation. The English translation system designed in this paper includes an image input module and an image recognition module, so the Gaussian blur algorithm is used for processing. The Gaussian blur algorithm can retain edge information in the edge area where the pixel value of the image changes sharply, and can effectively remove noise and enhance the image effect. Therefore, this article uses fuzzy algorithm-based English translation system language analysis research, first analyze the English language characteristics, and then use Gaussian fuzzy algorithm to denoise the image in the translation system, and then display the image recognition results.

关键词： English translation system language analysis research fuzzy algorithm

来源：评论

学校读者我要写书评

暂无评论

Aging State Assessment of Transformer Oil Based on UV-Vis Spectrum and fuzzy algorithm 21

Aging State Assessment of Transformer Oil Based on UV-Vis Sp...

引用

IEEE 21st International Conference on Dielectric Liquids (ICDL)

作者： Feng, Dawei Yan, Xiaoyu Guo, Yixin Hebei Univ Technol State Key Lab Reliabil & Intelligence Elect Equip Tianjin Peoples R China State Grid Int Dev Co Ltd Beijing Peoples R China

ISBN: (纸本)9781665484916

Insulation oil is used as insulation and cooling medium in transformers. With the operation of the transformers, insulation oil gradually ages, leading to decline in insulation strength, blockage in oil channels, and difficulty in heat dissipation, which brings potential risks to the equipment and power system. Therefore, timely and accurate aging state assessment of insulation oil is significant to guide the timing of oil filtering or oil replacement. In this paper, the degradation laws of mineral oil and 3-element mixed insulation oil were studied through accelerated thermal aging tests, and the parameters indicating aging state of oil were measured. Test results showed that the characteristic value of UV-Vis (ultraviolet-visible) spectrum was closely related to the conventional aging parameters, such as acid value, interfacial tension, and resistivity. A mathematical model was established between the characteristic value and conventional aging parameters of insulation oil, which showed high accuracy verified by oil-replacement aging test. Finally, an aging state evaluation model of insulation oil was established with fuzzy algorithm based on the abovementioned mathematical model, which is expected to be used for online monitoring of oil aging state.

关键词： insulation oil aging state UV-Vis spectrum fuzzy algorithm

来源：评论

学校读者我要写书评

暂无评论

Design of distributed WSNs fire remote monitoring system based on fuzzy algorithm

引用

JOURNAL OF INTELLIGENT & fuzzy SYSTEMS 2021年第3期41卷 4319-4326页

作者： Li, Hao Yang, Jie Minjiang Univ Coll Humanities Fuzhou Fujian Peoples R China Wuhan Univ Technol Sch Informat Engn Wuhan Hubei Peoples R China

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.

关键词： fuzzy algorithm distributed WSNs remote fire monitoring C8051F060 fuzzy equivalent matrix

来源：评论

学校读者我要写书评

暂无评论

Market Network Marketing Performance Evaluation in a Smart City Based on fuzzy algorithm

引用

JOURNAL OF TESTING AND EVALUATION 2023年第3期51卷 1641-1649页

作者： Xie, Qi Sias Univ Kansas Int Inst 168 Renmin Rd Zhengzhou 451150 Peoples R China

In order to overcome the problems of long time-consuming evaluation results generation processes, low accuracy of evaluation results, and poor self-adaptability existing in traditional market network marketing performance evaluation models, this study designed a market network marketing performance evaluation model based on fuzzy algorithms. First, complete the design of the overall deployment architecture of the model by designing the terminal layer, server layer, and data layer. Among them, the work efficiency of the model is improved by setting a web server. Then, based on the analysis and evaluation principles, four first-level evaluation indicators and 18 second-level indicators are constructed, and then the evaluation of market network marketing performance is completed by designing fuzzy rules and the operation process of fuzzy algorithms, and combining the index weights. Experimental verification shows that the generation process of the evaluation results of this model is less time-consuming, the evaluation results are highly accurate, and the adaptive ability is strong, which proves that it has achieved the design expectations.

关键词： market network marketing marketing performance evaluation fuzzy algorithm fuzzy rules index weight

来源：评论

学校读者我要写书评

暂无评论

Accuracy Improvement in Disease Identification of Mango Leaf using CNN algorithm Compared with fuzzy algorithm 1

Accuracy Improvement in Disease Identification of Mango Leaf...

引用

1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021

作者： Chowdary, M. Sivaram Puviarasi, R. Saveetha University Tamilnadu Chennai602105 India

ISBN: (纸本)9781607685395

Aim: The main aim of this work is to measure the accuracy in the identification of mango leaf diseases using Convolutional Neural Networks (CNN) compared with fuzzy Logic. Materials and methods: The data set contains 10 images collected from the seed buzz website and these images are used for training and testing the predictive model in MATLAB. Statistical analysis is done using SPSS software. In the SPSS tool, the measured accuracy of CNN is compared with the fuzzy model accuracy. Result: The proposed system using CNN achieved high accuracy of 95.2% whereas the fuzzy mean algorithm gives an accuracy of 93.5 with the significance value 0.038 for accuracy and 0.073 for sensitivity. Conclusion: The outcome of the study confirms that the CNN-based model provides better results in enhancing the accuracy of disease identification in mango leaves. © The Electrochemical Society

关键词： accuracy CNN Deep Learning fuzzy algorithm Innovative detection sensitivity

来源：评论

学校读者我要写书评

暂无评论

Data Acquisition of Ambulatory Air Pressure Test Device Based on fuzzy algorithm

引用

JOURNAL OF TESTING AND EVALUATION 2023年第1期51卷 264-277页

作者： Zhang, Haiying Mech & Elect Engn Inst Ningbo Polytech Ningbo 315800 Peoples R China

The data of air pressure test device have different resistive currents under different load strengths, so it is necessary to collect the data of locomotive air pressure test device automatically, and the automatic data acquisition method of locomotive pressure test device based on fuzzy algorithm is put forward. Such elements can also be integrated to the health care system. The input control variable model of locomotive air pressure test device data calculation is constructed. Under the adjustment of pressure and pressure gain, the locomotive no-load output pressure is used as the state characteristic quantity, the output stability of locomotive pressure test device data is analyzed under the mode of high switching frequency, and the electromagnetic interference characteristics of locomotive pressure test device data output are analyzed by combining the adaptive error feedback adjustment method. According to the fuzzy state characteristics of locomotive air pressure test device, the vibration analysis and error adjustment of locomotive pressure test device data are carried out, and the adaptive parameter fusion model of locomotive pressure test device data is established. Combined with virtual air pressure adaptive control and output power adaptive adjustment method, the automatic data acquisition of locomotive pressure test device is realized. The simulation results show that the automatic data acquisition accuracy and stability of the locomotive air pressure test device are high, and the adaptability and environmental adaptability of the data calculation of the locomotive pressure test device are improved.

关键词： fuzzy algorithm locomotive air pressure test device data acquisition

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

Research on Composite Braking Mode Switching Strategy Based on fuzzy algorithm

引用

ADVANCED THEORY AND SIMULATIONS 2023年第2期6卷

作者： Zheng, Zhu'An Liang, Cang Lv, Hongming Zhang, Kun Zhang, Weiyang Yancheng Inst Technol Sch Automot Engn Yancheng 224000 Jiangsu Peoples R China

Aiming at the cruising range of electric vehicles, this paper proposes a control strategy for electric vehicle electromechanical composite braking mode switching based on motor braking force correction. The braking force of the motor is adjusted by factors such as braking intensity to improve the braking energy recovery, and the braking force distribution curve is designed considering the braking energy and braking safety and stability. The research results show the braking time, braking torque, and battery charge. The peak value of discharge current has been improved, and the braking energy recovery efficiency has increased by 9.17% and 3.32% respectively under different working conditions. Under different braking modes with an initial speed of 30 km h(-1), the braking energy recovered by the battery has increased by 16.04 , 3.89, 9.63 kJ, the braking time and braking distance are also shorter, which highlights the superiority of this control strategy.

关键词： braking intensity energy recovery fuzzy algorithm mode switching

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：