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2nd International Conference on Electrical Engineering and Informatics (ICELTICs)

作者： Away, Yuwaldi Rahman, Aulia Auliandra, Teuku Reza Firdaus, Muhamad Syiah Kuala Univ Dept Elect & Comp Engn Banda Aceh Indonesia

ISBN: (纸本)9781538661406

The amount of solar energy could be acquired optimally by proper tracking of sun movement in a sun tracker. A sun tracker is a device which tracks the sun as it moves on its path through the sky during the day, exposing the solar cells to an increased amount of sunlight and hence producing more electricity. In this paper, we compare the performance and optimization of two types of sun tracker based on tetrahedron geometry using PID and fuzzy logic algorithm. These two sun trackers are built identically and experimental data acquisition of servo movement and load of solar cell performed side by side. PID and fuzzy logic algorithm are used to control the servo movement of the dual-axis sun tracker. We record the load received by solar cell which attached to both sun tracker and compare the result. The study shows that fuzzy logic algorithm controller performs better than PID controller which can be seen from the amount of load received by solar cell.

关键词： sun tracker solar cell PID fuzzy algorithm data logging

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Aged Submarine Pipeline Failure Analysis Based on Accident Tree and fuzzy algorithm

Aged Submarine Pipeline Failure Analysis Based on Accident T...

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4th International Conference on Digital Manufacturing and Automation (ICDMA)

作者： Sun Yun Wang Zhijun China Petr Pipeline Engn Corp Langfang 065000 Hebei Peoples R China S INOPEC Cangzhou Co Cangzhou Hebei 061000 Peoples R China

ISBN: (纸本)9780769550169

Study the causes of submarine pipeline failure and divide into two types, human and natural factors, establish the submarine pipeline failure accident tree. Combine the experts' judgments and fuzzy algorithm to calculate the probability of elementary event. In the course of qualitative analysis, 26 minimum cuts are found out. The results of quantitative analysis indicate that the probability of submarine pipeline failure is 0.2197 and the conclusion of risk ranking is in accord with the qualitative analysis.

关键词： Submarine pipeline Accident tree analysis Experts' judgments fuzzy algorithm

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Audio-based shot classification for audiovisual indexing using PCA, MGD and fuzzy algorithm

Audio-based shot classification for audiovisual indexing usi...

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21st Symposium on Signal Processing

作者： Nitanda, Naoki Haseyama, Miki Hokkaido Univ Grad Sch Informat Sci & Technol Sapporo Hokkaido 0600814 Japan

An audio-based shot classification method for audiovisual indexing is proposed in this paper. The proposed method mainly consists of two parts, an audio analysis part and a shot classification part. In the audio analysis part, the proposed method utilizes both principal component analysis (PCA) and Mahalanobis generalized distance (MGD). The effective features for the analysis can be automatically obtained by using PCA, and these features are analyzed based on MGD, which can take into account the correlations of the data set. Thus, accurate analysis results can be obtained by the combined use of PCA and MGD. In the shot classification part, the proposed method utilizes a fuzzy algorithm. By using the fuzzy algorithm, the mixing rate of the multiple audio sources can be roughly measured, and thereby accurate shot classification can be attained. Results of experiments performed by applying the proposed method to actual audiovisual materials are shown to verify the effectiveness of the proposed method.

关键词： audiovisual classification PCA MGD fuzzy algorithm

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Research on Edge Detection of Medical Image Based on Wavelet Transform and fuzzy algorithm 17

Research on Edge Detection of Medical Image Based on Wavelet...

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

作者： Lu, Quzhe Liu, Dongqiang Shaoyang Univ Shaoyang Peoples R China

ISBN: (纸本)9781728186160

Medical imaging has become an important basis for doctors in clinical diagnosis and treatment, which contains rich information about the human body. In order to present the diseased part of the body to the doctor in a more clear and intuitive way, the image must be processed. Therefore, the effectiveness of this method in medical images was proved in both subjective and objective aspects. Experiment by wavelet transform and fuzzy algorithm of medical image edge detection, improved method is applied to medical images, this paper chooses the size of a 512 x 512 abdominal CT images, and the image gaussian noise variance of 0.01, according to the calculated after denoising image peak signal-to-noise ratio (PSNR) and root mean square error (RMSE) to carry out the experimental evaluation. The experimental data show that the PSNR value is the highest and THE RMS value is the lowest after the threshold function processing in this paper. The experimental improved method has achieved good denoising effect when applied to medical images.

关键词： Wavelet Transform fuzzy algorithm Medical Images Edge Detection

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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...

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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

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Research on Artificial Intelligence Machine Translation Based on fuzzy algorithm

Research on Artificial Intelligence Machine Translation Base...

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2023 International Conference on Integrated Intelligence and Communication Systems, ICIICS 2023

作者： Dong, Xinrong Sun, Xiyang Cui, Qiang Dalian University of Science and Technology Department of Foreign Languages Dalian China

ISBN: (纸本)9798350315455

In the technical field, achieving semantics for AI machine translation is a challenge that must be overcome. The model uses rule reasoning in natural language processing for deep understanding, and combines machine learning theory to optimize model parameters, so as to achieve the purpose of improving translation accuracy. After experimental verification, the model proposed in this paper shows a high accuracy rate of more than 90% when translating different translations;in addition, compared with DocNMT and SENTNMT, two common artificial intelligence machine translation models, the model proposed in this paper shows higher accuracy in machine translation, up to 97%, far exceeding them. At the same time, the model also has a certain degree of fault tolerance, which can ensure the stability and reliability of the machine translation system. Therefore, using the method proposed in this paper, the quality level of machine translation can be significantly improved. © 2023 IEEE.

关键词： artificial intelligence fuzzy algorithm machine translation semantic problem

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

Accuracy Improvement in Disease Identification of Mango Leaf...

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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

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fuzzy algorithm-based active control method for vibration of a mechanical gear transmission system

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JOURNAL OF VIBROENGINEERING 2024年第4期26卷 843-858页

作者： Li, Yang Wang, Guangzheng Wang, Shaozhu Tan, Hui Yang, Fazhan Qingdao Univ Technol Linyi Dept Mech & Elect Engn Linyi 273400 Peoples R China Qingdao Univ Technol Sch Mech & Automot Engn Qingdao 266520 Peoples R China

The detached raft automatic frequency isolation system is a complicated system with high exceptionally nonlinear, high electromagnetic, and multi -source vibration modes. However, it generates a statistical method and it is hard to operate the organization. The fuzzy control algorithm, as an astute control method, can give a keen path to the active management of a complicated system of floating rafts. This study uses a system identification approach to construct mathematical models for a floating raft active vibration isolation system with discrete transfer work. The fuzzy model is used in tests and simulations controller is built using two contributions of acceleration and its variation, as well as a single result of control voltage. The control isolation system is a complicated system with many moving parts. A lot of moving parts profoundly nonlinear, high electromagnetic and multi -source vibration modes, generating a statistical method and it is hard to operate the organization. The fuzzy control algorithm, as a smart control method, can give a keen path to the active management of a sophisticated floating raft system. This research uses an identification strategy to construct a floating raft active vibration isolation technology discrete transfer work mathematical models. The fuzzy controller is then put together using two contributions: acceleration and variation, as well as a single outcome of control voltage for simulations and experiments research.

关键词： fuzzy algorithm active control method vibration of a mechanical gear transmission system shaft automatic frequency experiments research simulations

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Optimization of Dual Clutch Transmission Shift Schedule Based on fuzzy algorithm

Optimization of Dual Clutch Transmission Shift Schedule Base...

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32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Li Zhe Lu Xiaohui Liu Qifang Zhao Xilu ChangChun Univ Technol Sch Mechatron Engn Changchun 130012 Jilin Peoples R China Jilin Univ Coll Automot Engn Changchun 130025 Jilin Peoples R China Saitama Inst Technol Dept Mech Engn Saitama 3690293 Japan

ISBN: (纸本)9781538629017

Shift schedule affects the optimal performance of engine and driving directly. In this paper, the optimal controller of shift schedule for Dual Clutch Transmission (DCT) is designed based on fuzzy algorithm, because there are the problems of the unexpected shift and the frequent shift in some accidental operation conditions. The throttle opening and the change rate of throttle opening are chosen as the inputs of the controller and the correction coefficient of vehicle speed the up-shift and down-shift are the output. The membership function is determined and the corresponding fuzzy control rules are formulated. In order to avoid the unexpected shift and the frequent shift in special working conditions, the controller parameters are tuning through the joint simulation of AMESim and Simulink. At last, the effectiveness of the optimal controller of the schedule is verified in the xPC-Target real-time environment.

关键词： DCT shift schedule fuzzy algorithm xPC-Target

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

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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

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