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检索条件"任意字段=International Conference on Advanced Computer Control"

共 19906 条记录，以下是221-230 订阅

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Research on Technology and Maintenance of Train control Center 2

Research on Technology and Maintenance of Train Control Cent...

引用

2nd IEEE international conference on control, Electronics and computer Technology, ICCECT 2024

作者： Li, Bo Lu, Ying School of Rail Communication & Signals and Electrification Wuhan Railway Vocational College of Technology Wuhan China China Railway Wuhan Bureau Group Co. Ltd Wuhan Electric Business Depot Wuhan China

ISBN: (纸本)9798350380958

Train control system is one of the key technical equipment to ensure the safe operation of trains and improve transportation efficiency. It can control the whole process of train operation in real time and ensure the safe operation of trains with high speed and high density. On the basis of studying and drawing lessons from the international advanced train control system technology system and the application of key technologies, China has vigorously carried out the research and construction of Chinese Train control System (CTCS) in combination with China's actual situation. CTCS-2 and CTCS-3 Train control Systems are widely used in China's high-speed railways at present. CTCS-2 is a train control system based on track circuit and balise to transmit movement authority information, which is mainly used in 200 250 km/h railways;CTCS-3 train control system adopts Global System for Mobile Communications for Railway (GSM-R) wireless communication to realize two-way realtime transmission of train-ground information, which meets the requirements of high speed, high density and cross-line operation of EMUs with different speed classes on 300350 km/h high-speed railway lines in China. This paper studies the technical realization of the ground core equipment of CTCS-2, train control center, and briefly introduces its maintenance experience. © 2024 IEEE.

关键词： Railroads

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Mixed Integer Programming Algorithm in the Optimization of Air Traffic control Flight Scheduling 5

Mixed Integer Programming Algorithm in the Optimization of A...

引用

5th international conference on computers, Information Processing and advanced Education, CIPAE 2024

作者： Wu, Fangjun Air Traffic Control and Navigation School Air Force Engineering University Shaanxi Xi'an China

ISBN: (纸本)9798331527662

With the rapid development of the global aviation industry, the sharp increase in the number of flights has put forward higher requirements for air traffic management, especially in ensuring flight punctuality and aviation safety. This study focuses on flight scheduling problems in air traffic control, using the Mixed Integer Programming (MIP) algorithm to optimize scheduling strategies. Specifically, the article constructed a mathematical model that includes multiple constraints such as airport capacity, flight time windows, and flight connectivity, and iteratively solved the problem to find the optimal or approximately optimal scheduling solution. This method not only improves the efficiency of scheduling, but also enhances the flexibility and practicality of scheduling schemes, providing an effective tool for aviation control departments to reduce flight delays, improve airspace utilization efficiency, and passenger satisfaction. In sunny and cloudy weather, the accuracy of the algorithm can reach 97% or above, indicating that the algorithm can accurately schedule flights under normal conditions. The research results of this article can provide theoretical basis and technical support for the modernization of China’s aviation control construction. The research results of this article can to some extent enrich the basic theory of flight scheduling and provide new ideas and methods for solving practical problems. © 2024 IEEE.

关键词： Efficiency

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Humanoid control Technology for Lower Limb Rehabilitation Robots Based on Human Gait Data

Humanoid Control Technology for Lower Limb Rehabilitation Ro...

引用

2024 international conference on advanced Mechatronic Systems, ICAMechS 2024

作者： Gao, Shengda Wang, Aihui Duan, Huichao Yue, Xuebing Li, Hengyi Dong, Jinkang Zhongyuan University of Technology School of Automation and Electrical Engineering Zhengzhou450007 China

ISBN: (纸本)9798350366204

The lower limb rehabilitation robot is a wearable exoskeleton bionic device that integrates robotic features with human walking characteristics. This paper explores the control strategies, gait data acquisition and processing methods, as well as the design and experimental validation of a humanoid control system for lower limb rehabilitation robots. By collecting gait data from healthy individuals using the NOKOV 3D infrared passive optical motion capture system, a gait dataset was established, and methods such as spline interpolation and Gaussian regression were employed to integrate the gait data. A humanoid control system based on real gait data was designed, utilizing a high-performance computer, R4SE controller, and joint motors to simulate gait patterns. Experimental results demonstrate that the system effectively follows target gait trajectories, achieving high trajectory tracking accuracy and smoothness, ensuring the safety and effectiveness of rehabilitation training. Future research will incorporate a more diverse group of subjects and intelligent control algorithms to enhance the system's adaptability and intelligence. © 2024 IEEE.

关键词： Exoskeleton (Robotics)

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Design and Implementation of a Predictor Feedback CO controller in an Automated Cell Culturing System

Design and Implementation of a Predictor Feedback CO Control...

引用

2024 IEEE/ASME international conference on advanced Intelligent Mechatronics, AIM 2024

作者： Carson, M. Chase Lin, Zongli Felder, Robin A. University of Virginia Department of Electrical and Computer Engineering CharlottesvilleVA22904-4743 United States University of Virginia Health System Department of Pathology CharlottesvilleVA22903 United States

ISBN: (纸本)9798350355369

Automation has revolutionized scientific research, particularly in cell culture, where it enhances efficiency and minimizes variability. Traditional cell culture faces challenges, often leading to stress-induced cell senescence. To address these challenges, we are developing an enclosed, automated system with a robotic fluid handling system and 60 independent bioreactors. Aiming for clinical applications, the system is required to maintain tight environmental control for optimal cell culture conditions. This paper reports on the development of the control system for maintaining the gaseous carbon dioxide (CO2) concentration within the enclosed system. In particular, we develop a predictor feedback CO2 controller to regulate the CO2 concentration. A baseline traditional feedback controller is also implemented for comparison. This work contributes to advancing automated cell culture systems, emphasizing the importance of precise environmental control for higher-quality cell cultures. The developed predictor feedback CO2 controller offers a promising control solution to reducing stress-induced variations and will be suitable for clinical applications. © 2024 IEEE.

关键词： Feedback control

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Research on Multi-UAV Logistics Distribution Model Based on Improved Particle Swarm Algorithm 7

Research on Multi-UAV Logistics Distribution Model Based on ...

引用

7th international conference on advanced Algorithms and control Engineering, ICAACE 2024

作者： Liu, Tianshi Duan, Yingna Hao, Minjie School Of Computer Science Xi'an Shiyou University Xi'an China

ISBN: (纸本)9798350361445

In order to efficiently and reasonably complete multi-unmanned aerial vehicle (UAV) collaborative logistics distribution tasks, this paper studies the multi-UAV logistics distribution model and related path optimization algorithms. Firstly, a multi-UAV logistics distribution model was studied, a logistics distribution matrix was designed, constraints such as flight distance and maximum load were introduced, and the relationship between the three optimization indicators of flight cost, load cost and total voyage was given. On this basis, the objective function of the logistics distribution model is obtained. Secondly, an improved particle swarm optimization algorithm is proposed by adopting the elite learning strategy and dynamic parameter updating strategy, which is used to solve the multi-UAV logistics distribution model The experimental results show that the proposed improved particle swarm optimization algorithm has faster convergence speed, higher accuracy and stronger optimization capability in solving the multi-UAV logistics and distribution model, which makes the task allocation scheme more in line with the practical applications. © 2024 IEEE.

关键词： Antennas

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Extrinsic Calibration Method for LiDAR and Millimeter-Wave Radar Systems

Extrinsic Calibration Method for LiDAR and Millimeter-Wave R...

引用

2024 international conference on advanced control Systems and Automation Technologies, ACSAT 2024

作者： Yang, Yanping Ren, Mingwu Nanjing University of Science & Technology School of Computer Science and Engineering Nanjing China

ISBN: (纸本)9798331541668

Millimeter-wave radar, with its high frequency and short wavelength, is increasingly becoming a critical sensor in autonomous driving systems, where precise external calibration with lidar is essential for efficient sensor fusion. However, existing calibration algorithms for these two sensors are still limited. To address this, we propose an offline external calibration method based on a novel 3D calibration target that combines absorbing materials and corner reflectors. Using a point cloud segmentation network, we extract lidar target point clouds and utilize RCS information with clustering to accurately locate radar point clouds, achieving precise data extraction for different sensors. Additionally, we introduce a model coordinate system as a bridge to resolve the spatial relationship between lidar and radar, and enhance the ICP alignment algorithm by calculating an initial alignment matrix with minimal error straight-line alignment, allowing for coarse-to-fine optimization. This approach significantly improves ICP precision and efficiency, with experimental results in various scenarios validating the calibration accuracy and reliability of this method. © 2024 IEEE.

关键词： Calibration

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Profit Maximization Decision of Supermarket Based on Heritage Algorithm Optimization 7

Profit Maximization Decision of Supermarket Based on Heritag...

引用

7th international conference on advanced Algorithms and control Engineering, ICAACE 2024

作者： Zhang, Yang Li, Jiang Chen, Wenjia Xiao, Yongxing Jishou University Department Of Electrical Engineering Hunan Jishou China Jishou University Department Of Mathematics Hunan Jishou China Jishou University Department Of Computer Science Hunan Jishou China

ISBN: (纸本)9798350361445

Commodity profit maximization decision is an important concept in supply chain management. The supermarket needs to make replenishment decision of each vegetable category according to the historical sales and demand. The aim of this study is to optimize profit maximization decision in supermarket operation by genetic algorithm. By constructing a mathematical model, factors such as sales strategy and inventory management are considered and converted into optimization problems. Genetic algorithm is introduced to solve the complex multi-variable optimization problem. By iterating the optimization parameters constantly, the profit of supermarket can be maximized under the premise of satisfying various constraints. The results of the model show that the optimization method based on genetic algorithm has better performance than the traditional decision-making method, which can improve the profit and reduce the cost effectively, and provide a reference for the feasibility and effectiveness of the supermarket decision-making. © 2024 IEEE.

关键词： Genetic algorithms

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Classification and Regression Algorithms for Brain computer Interfacing 1

Classification and Regression Algorithms for Brain Computer ...

引用

1st IEEE international conference on Cognitive Robotics and Intelligent Systems, ICC - ROBINS 2024

作者： Yogendra Prasad, P. Ramu, M. Varshini, Gangavaram Sree Keerthi, Dasari Jyothsna, Kaduru Neeraja, Chirangi K Dept of Csse Tirupati India Annamacharya Institute of Technology & Sciences Dept of Csse Tirupati India

ISBN: (纸本)9798350372748

The Brain-computer Interface (BCI) stands as a groundbreaking technology, establishing a direct communication channel linking the human brain and external devices, enabling seamless interaction and control. This project focuses on the development of a BCI system utilizing machine learning techniques, specifically classification and regression algorithms. The brain-computer interface (BCI) facilitates a connection between the brain and the external world by interpreting physiological information generated during cognitive activities. Recent progress in neuroscience and machine learning has catalyzed transformative developments in BCI technology. This research study explores the implementation of advanced algorithms, specifically focusing on classification and regression techniques to enhance the performance and accuracy of BCI systems. © 2024 IEEE.

关键词： Electroencephalography

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Robustness Investigation of FOC of PMSG Based Variable-Speed Wind Turbine Connected on Grid 3

Robustness Investigation of FOC of PMSG Based Variable-Speed...

引用

3rd international conference on advanced Electrical Engineering, ICAEE 2024

作者： Aoumri, Mohammed Harrouz, Abdelkader Yaichi, Ibrahim Baala, Seddik Wira, Patrice University of Ahmed Draïa Adrar Algeria Institute for Research in Computer Science Mathematics Automation and Signal University of Haute Alsace Mulhouse France

ISBN: (纸本)9798350349351

Wind energy has emerged as an increasingly viable renewable energy source, driven by rising fossil fuel costs, energy security concerns, and environmental considerations. In 2022, wind energy production grew by 9% compared to 2021, maintaining an annual rate exceeding 12% since 2012. This study focuses on the application of Field Oriented control (FOC), a prevalent control strategy in wind power generation systems, to a permanent magnet synchronous generator (PMSG) in a variable speed wind turbine configuration. The research methodology involved implementing FOC and conducting robustness analyses through PMSG parameter variations. The primary objectives were to maximize wind energy capture efficiency while ensuring sustained control performance. MATLAB/Simulink was employed to simulate and evaluate the various components of the wind turbine system (WTS), facilitating comprehensive analysis of the results. © 2024 IEEE.

关键词： Windmill

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An Innovative High-Dimensional Clustering Algorithm and its Application to Urban Stratification and Planning 7

An Innovative High-Dimensional Clustering Algorithm and its ...

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7th international conference on advanced Algorithms and control Engineering, ICAACE 2024

作者： Du, Zhuohao Qian, Yanshan Li, Chuanan Hu, Yunqi Qiu, Junda School Of Computer Engineering Jiangsu University Of Technology Changzhou China

ISBN: (纸本)9798350361445

With the acceleration of urbanisation, efficient and scientific urban planning and policy making is particularly important. However, traditional clustering algorithms tend to segment data based on a single objective or parameter in the process of urban stratification, which is easy to ignore the complexity and dynamics within the city when dealing with multidimensional and dynamically changing urban data, resulting in less accurate and comprehensive clustering results. This paper introduces an innovative clustering algorithm based on the Pareto optimal theory, which effectively improves the accuracy of clustering and the ability of multi-dimensional data processing by selecting the Steiner point as the clustering centre. Applying this algorithm to urban stratification and planning can not only reveal the development situation of the city in a more comprehensive way, but also provide the government with more scientific and detailed data support, which can promote the formulation of more reasonable and sustainable urban development strategies. © 2024 IEEE.

关键词： Clustering algorithms

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