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检索条件"任意字段=2023 6th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2023"

共 292 条记录，以下是181-190 订阅

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6th international conference on Communication, Devices and Networking, ICCDN 2022

6th International Conference on Communication, Devices and N...

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6th international conference on Communication, Devices and Networking, ICCDN 2022

ISBN: (纸本)9789819919826

the proceedings contain 60 papers. the special focus in this conference is on Communication, Devices and Networking. the topics include: Impact of Perceived Social Support on Patient Empowerment: A Study of Online Patient Support Groups;Interfacing of Industrial Inductive Proximity Sensor with NI DAQ and Speed Measurement;design and Implementation of Intelligent Vehicle Dual Vehicle Merging Based on Image Processing and Electromagnetic Induction;shield Tunnel Design Method Based on Constrained Multi-objective Optimization Algorithm;railway Traffic Operation Optimization Method and System Based on Bee Colony Algorithm;A Method and Display System for Interacting with Virtual Scene through VR Device;research on Dance Training System Based on Motion Capture and Virtual Reality;intelligent Motion control Technology of Industrial Robot;Research on GIS Data Maintenance Technology Based on DBSCAN Algorithm;Design and Analysis of an Efficient Novel Multilayer 4:1 MUX Using QCA Technique with Reversibility and Stability;research on Matching Algorithm of Color;multi-band Dual-Polarized Linear-Circular and Linear-Cross Obliquely Stable Reflective Type Polarizer with Mechanically Tunable Reflector Response for K-and Ka-Bands Applications;enrichment of Polarization Purity, Gain and Compactness of Circular Microstrip Antenna;Reconfigurable Dual Polarized Square Patch Antenna for ISM Band with PIN Diode Integration;design and Analysis of an On-Body Microstrip Patch Antenna for Biomedical Application;DHRNN: Deep Hybrid Recurrent Neural Networks for Aquaculture Water Quality Prediction;blockchain-Based Clean and Green Energy (Pico Hydel Power) Monitoring System;a Comparative Analysis to Predict Diabetes Using Classification algorithms;F-DDPT: An Efficient Fuzzy-Based Automated Preprocessing Technique to Support Explainability.

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A MATLAB / Simulink Implementation of Closed Loop Speed control of PMBLDC and PMSM Motors Using Fuzzy Logic controller for EV Applications 6th

A MATLAB / Simulink Implementation of Closed Loop Speed Cont...

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6th international conference on Information Systems and Management Science, ISMS 2023

作者： Saiyad, Mahammadsoaib Bhatt, Praghnesh Patel, Sajid C. S. Patel Institute of Technology CHARUSAT Gujarat Changa India Pandit Deendayal Energy University Gujarat Gandhinagar India L.D. College of Engineering Gujarat Ahmedabad India

ISBN: (纸本)9783031664090

the current trends of the electrical vehicles (EV) for the transportation applications is the wide area to be discovered for the performance enhancement in terms of speed, torque and various transient response indices. this paper presents an in-depth analysis of speed control techniques for two prominent electric motor types: PMBLDC (Brushless DC) motors and PMSM (Permanent Magnet Synchronous) motors used in vehicular applications. the study explores a wide spectrum of control strategies that enable precise speed regulation in various industrial and automotive applications. the paper investigates FLC based advanced control methods for these motor types. the paper subsequently delves into the core principles of speed control, encompassing approaches such as conventional control methods and fuzzy logic control methods. Practical insights into the implementation of these techniques are discussed, highlighting the impact on dynamic response, and overall performance. the comparative analysis reveals the strengths and limitations of each motor type and associated control strategies, considering factors like response time and adaptability to real-world scenarios. the MATLAB results discussed in the paper gives the overall performance characteristics of PMBLDC and PMSM motor for vehicular application. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： MATLAB

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Composite Fault Signal Detection Method of Electromechanical Equipment Based on Empirical Mode Decomposition 1

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6th European-Alliance-for-Innovation (EAI) international conference on advanced Hybrid Information Processing (ADHIP)

作者： Fu, Guolong Yin, Jintian Wu, Shengyi Liu, Li Peng, Zhihua Shaoyang Univ Hunan Prov Key Lab Grids Operat & Control Multi Power Sources Area Shaoyang 422000 Peoples R China Shaoyang Univ Sch Elect Engn Shaoyang 422000 Peoples R China

ISBN: (数字)9783031288678

ISBN: (纸本)9783031288661;9783031288678

Aiming at the problem of low detection accuracy when the traditional method is used to detect the composite fault signal of electromechanical equipment, a method for detecting the composite fault signal of electromechanical equipment based on empirical mode decomposition is proposed. In this paper, the operation information of the electromechanical equipment is collected first, and then the complex signal is identified based on the empirical mode decomposition theory, and the location of the complex fault area of the electromechanical equipment is completed to improve the detection accuracy. Finally, experiments are used to prove the advanced nature of the proposed method. the experimental results show that the fault diagnosis accuracy of the proposed method for electromechanical equipment is higher than 75%, the response time is less than 40 ms, and the memory occupation is less than 5500 kB, all of which are superior to the traditional method and have certain application value.

关键词： Empirical mode decomposition Electromechanical equipment Fault signal Fault detection

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Estimation of Minimum Miscibility Pressure in Impure/Pure N2 Based Enhanced Oil Recovery Process: A Comparative Study of Statistical and Machine Learning algorithms

Estimation of Minimum Miscibility Pressure in Impure/Pure N2...

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Robotics, control and Automation engineering (RCAE), international conference on

作者： Xiuli Zhu Seshu Kumar Damarla Biao Huang Department of Control University of Shanghai for Science and Technology Shanghai China Department of Chemical and Materials Engineering University of Alberta Alberta Canada

Minimum miscibility pressure (MMP) prediction plays an important role in design and operation of nitrogen based enhanced oil recovery processes. In this work, a comparative study of statistical and machine learning methods used for MMP estimation is carried out. these methods include weighted k-nearest neighbors, wavelet neural network, general regression neural network, extreme learning machine, regression trees (RTs), random forest, bagging RTs, boosting RTs and Gaussian process regression. Most of the predictive models developed in this study exhibited superior performance over predictive models reported in literature.

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Design of Indoor Navigation Scheme Based on Bluetooth Low Energy 6th

Design of Indoor Navigation Scheme Based on Bluetooth Low En...

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6th international conference on Electrical engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Wu, Zhaotian Ma, Xiaoping Li, Jiayin Wang, Ruojin Chen, Fei State Key Laboratory of Advanced Rail Autonomous Operation Beijing China School of Traffic and Transportation Beijing Jiaotong University Beijing China Key Laboratory of Railway Industry of Proactive Safety and Risk Control Beijing China

ISBN: (纸本)9789819993109

Navigation based on mobile devices has developed rapidly in recent years, but GPS positioning technology cannot work effectively in indoor environments, so a variety of indoor wireless positioning technologies have emerged. Due to the low power consumption, convenience and cheapness of Bluetooth Low Energy (BLE) devices, Bluetooth wireless positioning has become one of the most commonly used solutions in current indoor positioning technology. In order to solve the problem of strong fluctuation of Bluetooth signal and large positioning error in the indoor navigation process, this paper uses Kalman filter to weaken the influence of random disturbance on the real Bluetooth signal, uses maximum likelihood to estimate the position coordinates of the locator, and makes full use of multiple beacon nodes to improve positioning accuracy. In order to verify the feasibility of the indoor navigation algorithm, an indoor navigation system is designed and deployed in the field. the experimental results show that the Root Mean Square Error (RMSE) of the method proposed in this paper is 2.336 m, and the RMSE in the X and Y directions is less than 3 m, which can meet the indoor positioning and navigation needs of ordinary users. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Bluetooth

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A Lightweight Sementic Segmentation Model for Metro Tunnel Scene Based on Vehicle Front Camera 1

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6th international conference on Electrical engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Bai, Jie Qin, Yong Cao, Zhiwei Lian, Lirong Gao, Yang Ge, Xuanyu Yu, Hang State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing100044 China School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China Key Laboratory of Railway Industry of Proactive Safety and Risk Control Beijing100044 China

ISBN: (数字)9789819993192

ISBN: (纸本)9789819993185

Metro intrusion seriously affects the safety of metro operation. Semantic segmentation is the main content of the research on metro intrusion. Tunnels account for a large proportion of metro lines, by processing the images captured by the vehicle front camera, the state of the elements in the tunnel can be obtained, among which the perception and understanding of the whole scene is an important part of the image processing. For on-board cameras, we propose a lightweight semantic segmentation algorithm for metro to satisfy the real-time requirements. Finally, for a 2048 × 1024 input, the algorithm achieves 75.21% MIoU on the metro tunnel data set with speed of 54FPS (Frames Per Second) on NVIDIA 3090 Ti card. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： Semantic Segmentation

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Intelligent control test platform system design based on PID control algorithm

Intelligent control test platform system design based on PID...

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6th international conference on Intelligent Computing and Signal Processing (ICSP)

作者： Jiaqi Xu School of Electrical and Mechanical Engineering Xi’an Polytechnic University Xi’an China

this study explores the control application of incremental PID control algorithms in an intelligent control experimental platform and verifies its feasibility. Based on the control model of the intelligent control experiment platform, we deeply analyze the impact of the digital incremental PID algorithm on the tracking and stable output waveform in the closed-loop control process. the results show that the algorithm is simple to implement, has good control effect and is less prone to oscillation.

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Text Classification Method for Urban Rail Transit Fire Accident Cases Based on Word2Vec + LSTM 6th

Text Classification Method for Urban Rail Transit Fire Accid...

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6th international conference on Electrical engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Yan, Han Ma, Xiaoping Chen, Fei Zhao, Ruhao Wang, Ruoxuan State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing100044 China School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China Key Laboratory of Railway Industry of Proactive Safety and Risk Control Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9789819993147

Fire accidents are the type of accidents in urban rail transit that occur frequently, are extremely dangerous, and cause huge losses, which and bring many difficulties to the safe operation and management of urban rail transit. Aiming at the data processing of urban rail transit fire accident cases, this paper first collects urban rail transit fire accident cases through multiple channels and divides them into five categories according to the fire causes: electrical reasons, mechanical reasons, artificial arson, improper operation, and accidental fire, and then establishes A text classification model based on Word2Vec feature processing and LSTM classification prediction is implemented to automatically classify fire texts with high accuracy, thereby solving the problems of time-consuming, low-quality, and strong subjectivity in manual text labeling. Furthermore, it provides high-quality data support for realizing refined risk prevention and control and accident management. Finally, this paper uses model comparison experiments to further verify the superiority of LSTM as the model backbone network. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： Fires

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Prioritized Anytime Dynamic A Path Planning for Multi-ent Vehicles in Heterogeneous Traffic 6

Prioritized Anytime Dynamic A Path Planning for Multi-ent Ve...

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6th international conference on Intelligent Traffic and Transportation, ICITT 2022

作者： Nantabut, Chinnawut Abel, Dirk Institute of Automatic Control RWTH Aachen University Campus Boulevard 30 Aachen52074 Germany

ISBN: (纸本)9781643683843

For a centralized path planning in the multi-Agent path finding (MAPF), especially for road vehicles using traffic rules, a prioritized planning algorithm is one of the key methods that deal with real-Time problems. the time used for planning is limited, especially when a number of agents are present, and a suboptimal solution has to be found. If possible, the previous solution should be reused for the replanning. Anytime Dynamic A∗ (AD*) can both replan the path when the environment is changed dynamically and is able to return a safe, but potentially suboptimal solution in case where a maximum cycle time is exceeded. A prioritized order selection is based on the path length to the goal. To model heterogeneous traffics with vehicles and pedestrians, a combination of the bicycle and pedestrian obstacle reciprocal collision avoidance algorithms (B-ORCA and PORCA) is used to realize a naturalistic interaction among the multi-Agent system and the dynamic environment. the number of agents and of dynamic obstacles is randomly generated and the time used for planning is analyzed in view of the limited time available in the simulations. In this work, the path planning of up to three agents can be executed in real-Time in MATLAB. © 2023 the authors and IOS Press.

关键词： Motion planning

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Obstacle Detection of Unmanned Surface Vessel based on Faster RCNN

Obstacle Detection of Unmanned Surface Vessel based on Faste...

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Industrial Cyber-Physical Systems (ICPS)

作者： Jiahe Cai Sheng Du Chengda Lu Bo Xiao Min Wu School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan China Guangzhou Marine Geological Survey Guangzhou China

With the development of unmanned surface vessel in the world today, obstacle avoidance using environmental information is the basis to ensure its high maneuvering performance and safety. However, directly using standard algorithms will lead to missing and wrong identification severely for characteristics of marine obstacles. this paper adds a multi-scale feature extraction layer of dilation convolution and group convolution to Faster Region based Convolutional Neural Network (Faster-RCNN), the baseline model, and changes the classification algorithm to improve its robustness and accuracy. Soft-Non Maximum Suppression (Soft-NMS) is used to enhance the prediction effects further. After improvements, the mean average precision value increases by 3.35%, and the final loss value decreases by 0.20. Given the phenomenon of missing and misidentification in the prediction by the baseline model, the results of our new model show outstanding performance.

关键词： Convolution Predictive models Feature extraction Prediction algorithms Robustness Classification algorithms Safety

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