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检索条件"任意字段=7th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2024"

共 514 条记录，以下是111-120 订阅

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Based on Immune Optimization Algorithm for Multi-Storage Site Selection Algorithm

Based on Immune Optimization Algorithm for Multi-Storage Sit...

引用

advanced algorithms and control engineering (icaace), international conference on

作者： Xinyan Wang Guangjun Qin Hongsheng Zhao Communication and Information Center Ministry of Emergency Management Beijing China Smart City College Beijing Union University Beijing China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

In emergency rescue, the timeliness and uncertainty of emergency logistics are very prominent problems. In order to solve the timeliness and uncertainty of emergency logistics distribution site selection, this paper adjusts and optimizes the coverage strategy of logistics distribution site selection based on immune optimization algorithm, considering the uncertainty of emergency material demand and distribution path and other preconditions, aiming at the possible failure of the planned material distribution point in emergency emergencies. the original one-to-one relationship between distribution point and demand point is adjusted to many-to-one, and the multi-center logistics warehousing site selection scheme is realized through the evolutionary scheduling of one-to-many distribution centers, so as to cope with the emergency logistics management of major emergencies. through simulation analysis, the efficiency of emergency materials distribution can be improved.

关键词： Uncertainty control engineering Heuristic algorithms Warehousing Optimization Logistics

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PDR Heading Elasticity Compensation Method Based on Modal Identification

PDR Heading Elasticity Compensation Method Based on Modal Id...

引用

advanced algorithms and control engineering (icaace), international conference on

作者： Yinshou Sun Zhi Xiong Xiaodong Li Yan Cui Yunong Qian College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

How to obtain accurate heading under multiple motion modes of pedestrians is the key difficulty in realizing the dead reckoning technology. Aiming at the problem of inconsistency between the solved heading and the actual direction of pedestrians after switching between different modes, a PDR heading elasticity compensation algorithm based on modal identification is proposed, which corrects the instantaneous heading through fixed heading declination and elastic heading declination to satisfy the navigation needs of cell phones under different usage modes. the experimental results show that the average head angle error of this algorithm is 2.65°, and the average localization error is 1.59m, which has a better heading error constraint effect.

关键词： Location awareness Pedestrians Dead reckoning control engineering Cellular phones Switches Elasticity

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Research on Active control Algorithm of Impulse Noise in Excavator Cab

Research on Active Control Algorithm of Impulse Noise in Exc...

引用

advanced algorithms and control engineering (icaace), international conference on

作者： Yu Xiao Qiang Liu Hongqiang Zhao Jiguang Wang College of Mechanical and Electrical Engineering Central South University Changsha China Changsha Vocational & Technical College Changsha China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

To address the issue of suboptimal control of pulse noise generated by the working apparatus inside the excavator cab, this study proposes an improved normalized filtering least mean square algorithm (NEFxatanSLMS). the algorithm is based on a sigmoid cost function and incorporates a nonlinear transformation function in the form of an inverse tangent to compress the error signal. Comparative analysis with several other algorithms demonstrates the superior convergence and stability of NEFxatanSLMS, particularly in the presence of pulse interference. Additionally, extensive computer simulations were conducted to measure the internal noise within the excavator under actual operating conditions. the results indicate that the proposed NEFxatanSLMS algorithm effectively mitigates pulse noise in the excavator cab.

关键词： Noise Stability criteria Interference Excavation Rendering (computer graphics) Numerical simulation Noise measurement

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Research on Over-Speed Protection control Method for Aircraft Engines Based on control Barrier Functions

Research on Over-Speed Protection Control Method for Aircraf...

引用

advanced algorithms and control engineering (icaace), international conference on

作者： Bai Jie Zeliang Xu Key Laboratory of Civil Aircraft Airworthiness Technology Civil Aviation University of China Tianjin China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

In recent years, the demands on the performance and safety of turbofan engines for control systems have become increasingly stringent. Prioritizing safety over performance and limiting protection control is essential to ensure the safety of engine operation during transient states. Among the various areas of active research on control barrier functions, which offer advantages such as real-time solid capability, compatibility, constraints, and robustness, this paper leverages these strengths to design a control barrier function-based restriction protection method for aircraft engines. this method ensures safety while responding faster than traditional constraint protection methods based on Min-Max selection logic. In the final sections of the article, the effectiveness of the designed constraint controller is validated through simulation using a linear model of the engine control system.

关键词： Limiting control engineering Rotors Solids Robustness Real-time systems Protection

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Fault-Tolerant control of Remotely Operated Vehicle thrusters Based on the Dung Beetle Optimizer

Fault-Tolerant Control of Remotely Operated Vehicle Thruster...

引用

advanced algorithms and control engineering (icaace), international conference on

作者： Zheyuan Yin Wenyang Gan Jiexiu Ou Zhuo Wang Logistics Engineering College Shanghai Maritime University Shanghai China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

A biological population-based algorithm, the dung beetle optimizer, is used for thrust redistribution in the event of thruster failure in remotely operated vehicle (ROV). Firstly, a kinematic controller based on model predictive control is designed to process ROV position and attitude errors to achieve target position and speed. Secondly, sliding mode control is used for dynamic control to design the appropriate thrust so that the actual speed tracks the desired velocity. When the thruster fails, the dung beetle optimizer is used to find the optimal scheme of thruster thrust distribution, so that the trajectory tracking process can be consistent before and after the failure. the results of simulation experiments show that the proposed fault-tolerant control based on the dung beetle optimizer can effectively handle the trajectory tracking problem under thruster failure.

关键词： Fault tolerance Remotely guided vehicles Target tracking Attitude control Trajectory tracking Fault tolerant systems Prediction algorithms

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Design of a Trace Logistics Vehicle based on STM32 Microcontroller

Design of a Trace Logistics Vehicle based on STM32 Microcont...

引用

advanced algorithms and control engineering (icaace), international conference on

作者： Jianzhuang Zhang Chengliang Zhang Mingyuan Ma Gaoya Feng School of Mechanical Engineering University of Jinan Jinan China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

the demand for improving the efficiency and accuracy of handling and classification of logistics products has increased due to the rapid development of e-commerce express, new energy vehicles, intelligent factories, and other fields. In this paper, in response to the above needs, we design and produce a logistics vehicle that can realise intelligent identification and tracking. the overall design of the logistics vehicle, mechanical structure design, control system design, and algorithm identification are introduced. the logistics vehicle's main frame is constructed using aluminium profiles. the motor's differential speed is controlled through PWM to achieve steering drive, with a microcontroller. Item recognition is achieved through OpenCV image processing algorithm, using Raspberry Pi for image processing. It has been demonstrated that it can perform intelligent identification and logistics handling functions, resulting in improved efficiency and accuracy of classification.

关键词： Image recognition Microcontrollers Process control Pulse width modulation Production facilities Classification algorithms Trajectory

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A BERT-Based with Fuzzy logic Sentimental Classifier for Sarcasm Detection

A BERT-Based with Fuzzy logic Sentimental Classifier for Sar...

引用

advanced algorithms and control engineering (icaace), international conference on

作者： Jiakun Dai Beijing Normal University-Hong Kong Baptist University United International College (UIC) Zhuhai Guangdong China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

this study introduces a BERT-based approach with fuzzy logic for sarcasm detection in natural language processing (NLP). the research aims to capture the subtle indicators of sarcasm by utilizing advanced models such as Fuzzy logic, Transformer, BERT, and RNN. the incorporation of fuzzy logic enhances the precision of detection by interpreting the subtleties present in sarcastic expressions and accommodating ambiguity and context dependencies. the methodology involves collecting a diverse dataset of comments and applying iterative learning using Transformer, BERT, and RNN models. the integration of fuzzy logic post-iteration further refines the model's ability to identify sarcastic nuances in a context-aware manner. this research demonstrates the efficiency of iterative learning and fuzzy logic techniques for sarcasm detection and presents an innovative approach that opens doors for more reliable natural language understanding systems.

关键词： Fuzzy logic Adaptation models Accuracy Reviews Transformers Natural language processing Iterative methods

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Research on control Method of PVC Distillation Process Based on PSO-BFO

Research on Control Method of PVC Distillation Process Based...

引用

advanced algorithms and control engineering (icaace), international conference on

作者： Lei Zhang Yong Kang Xiaomeng Dong Siyu Wang Yunsheng Wang Shunyi Li Airforce Communication NCO Academy Dalian China Unit 31016 Beijing China Liaoning Hongda New Materials Technology Co. Ltd Anshan China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

To achieve accurate PID control of polyvinyl chloride distillation process, a bacterial foraging optimization (BFO) based on particle swarm optimization (PSO) is proposed to search for the optimal PID parameters. the optimal values are found in the Kp, Ki, and Kd parameter spaces to achieve the optimal control effect of the system. Consider the historical optimal positions of particles and particle swarm, and improve the chemotaxis factor in the BFO algorithm. the simulation results show that PSO-BFO improves the performance of the control system, meets the requirements of automatic control, and improves accuracy, speed, and stability, making the system run better and solving the problem of substandard control in the PVC distillation process.

关键词： Accuracy PI control System performance Simulation Process control Optimization methods Optimal control

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Upsampling Autoencoder for Self-Supervised Point Cloud Learning

Upsampling Autoencoder for Self-Supervised Point Cloud Learn...

引用

advanced algorithms and control engineering (icaace), international conference on

作者： Jian Shi Genfu Yang Zizhao Wu School of Media and Design Hangzhou Dianzi University Hangzhou China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

While a large number of supervised learning methods have been proposed to handle the unordered point clouds and achieved remarkable success, their performance is limited to the costly data annotation. In this work, we propose a novel self-supervised pre-training model for point cloud learning without human annotations, which relies solely on upsampling operation to perform feature learning of point cloud in an effective manner. the key observation of our approach is that upsampling operation encourages the network to capture both high-level semantic information and low-level geometric information of the point cloud. As a result, the downstream tasks such as classification and segmentation will benefit from the pre-trained model. And our method outperforms previous methods in shape classification, part segmentation.

关键词： Point cloud compression Representation learning control engineering Annotations Shape Supervised learning Semantics

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A Modified Parameter Optimization Method of Support Vector Machine Based on Genetic Algorithm

A Modified Parameter Optimization Method of Support Vector M...

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advanced algorithms and control engineering (icaace), international conference on

作者： Junyan Yang Xiaorong Zhang Engineering Mechanical Department Hunan SANY Polytechnic College Changsha Hunan China China Coal Technology & Engineering Group Chongqing Research Institute Co. Ltd Chongqing China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

Given the computational demands and the less-than-ideal efficiency of genetic algorithm-driven support vector machine parameter optimization methods, and taking into account the distribution of classification accuracy within the parameter space, this paper proposes to shift the search space of the genetic algorithm from the conventional real number space to a discrete parameter space. this adjustment significantly reduces the search space of the genetic algorithm. Experiments conducted on eight standard datasets demonstrate that this method not only achieves almost the same classification accuracy but also significantly enhances the genetic algorithm's speed in identifying the optimal support vector machine parameters. As a result, the computational load is reduced by approximately 50 times when compared to the traditional genetic algorithm and by approximately 10 times when compared to the grid search algorithm.

关键词： Support vector machines control engineering Optimization methods Approximation algorithms Vectors Computational efficiency Classification algorithms

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