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检索条件"任意字段=Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control"

共 342 条记录，以下是71-80 订阅

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Design of Industrial computer control System in Grease Production 3

Design of Industrial Computer Control System in Grease Produ...

引用

3rd international Conference on Mechatronics and intelligent Robotics (ICMIR)

作者： Zhang, Hong Xia Sichuan Top Informat Technol Vocat Coll Chengdu 611743 Sichuan Peoples R China

In the actual production of grease, the design and application of industrial computer control systems can help to achieve intelligent management of various processes in grease production, thereby improving grease production efficiency and exerting positive impact. This paper will introduce the problems of industrial computer control systems design in grease production, analyze industrial computer control systems, and optimize the design plan and implement the system. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： industrial computer control system grease design grease production

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Numba-Accelerated parameter estimation for artificial pancreas applications 20

Numba-Accelerated parameter estimation for artificial pancre...

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20th IEEE Jubilee international symposium on intelligent Systems and Informatics, SISY 2022

作者： Siket, Mate Denes-Fazakas, Lehel Kovacs, Levente Eigner, Gyorgy Physiological Controls Research Center Obuda University Hungary Biomatics and Applied Artificial Intelligence Institute John von Neumann Faculty of Informatics Obuda University Hungary Applied Informatics and Applied Mathematics Doctoral School Obuda University Becsi street 96/B. BudapestH-1034 Hungary Institute for Computer Science and Control Kende utca 13-17 BudapestH-1111 Hungary

ISBN: (纸本)9781665489881

General-purpose computing on graphics processing units (GPU) has gained more attention over the last years in scientific computing. Tasks like population-based optimizations are widely used and can be efficiently parallelized. While Python is considered generally 'slow', it is one of the most popular programming languages. In this study, we evaluate the acceleration possibilities of a parameter estimation problem based on optimization utilizing the Numba library on the central processing unit (CPU) and on the GPU. Runtimes indicate that Numba achieves high runtime improvements with little modifications in the syntax. On the other hand, utilization of the GPU is beneficial when high parallelization can be guaranteed and using cloud computing platforms. © 2022 IEEE.

关键词： Graphics processing unit

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Optimizing Production and Inventory Management for Defective Items in Manufacturing Systems

Optimizing Production and Inventory Management for Defective...

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international symposium on Advanced Computing and Communication (ISACC)

作者： Khandakar Rabbi Ahmed Arafat Hossain MD Amaddus Bepary Asif Mahathir Mohammad Mustafizur Rahaman MD Arafat Dewan Miyan Research Institute International University of Business Agriculture and Technology Dhaka Bangladesh Dept. of Business Data Analytics Central Michigan University Mt Pleasant USA Dept. of Business Administration and Management Southern California State University Los Angeles CA Dept. of Business Administration and Management Southern California State University USA Dept. of Cloud Engineering Westcliff University Irvine CA Dept. of Computer Science Los Angeles City College Los Angeles USA

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Manufacturing defective items is one of the challenges for production efficiency and inventory control. Conventional approaches like Economic Order Quantity (EOQ) and Just-in-Time (JIT) often fall short of the flexibility needed to respond to quality variations in real time. It promotes defect detection and control by employing machine learning (ML) for inventory management. Four classifiers were tested using the UCI SECOM dataset (Bagging, AdaBoost, Gradient Boosting, and Random Forest) to identify defective items. We used effective preprocessing techniques to boost model performance, such as SMOTE for class balancing and PCA for reducing dimensionality and standardization. The bagging and random forest classifiers produced 96.6% and 96.9% test accuracies, with good precision and recall scores. Within this context, we propose an Adaptive Inventory Management Framework comprising machine learning algorithms incorporating predictive analytics to reduce waste, optimize production scheduling(s), and improve resource allocation. These results are consistent with defining Industry 4.0 strategies and show that ML has the potential to transform defect management and inventory optimization in manufacturing systems.

关键词： Production Quality control Inventory management Real-time systems Fourth Industrial Revolution Random forests Optimization Bagging Manufacturing systems Defect detection

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A Method of Temperature and Humidity control for Air Material Depot 3

A Method of Temperature and Humidity Control for Air Materia...

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3rd international Conference on Mechatronics and intelligent Robotics (ICMIR)

作者： Niu, Peng Hui Wang, Zhen Hu, Wei Army Aviat Inst PLA Beijing 101123 Peoples R China

Temperature and humidity are two important factors affecting the quality of aviation equipment in the air material depot. controlling them within a certain range is conducive to the safety management of air material. It is of great significance to guarantee the supply of air material, implement the storage of air material and improve the efficiency of equipment. At present, the great majority of temperature and moisture controller employ the traditional proportional-integral-differential control principle, which is difficult to obtain higher control accuracy and better control quality. In the article, humanoid intelligent control algorithm is introduced into temperature and humidity control. Practice proves that good results have been achieved. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： temperature moisture control humanoid intelligent control

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intelligent Tracking Obstacle Avoidance Wheel Robot Based on Arduino 3

Intelligent Tracking Obstacle Avoidance Wheel Robot Based on...

引用

3rd international Conference on Mechatronics and intelligent Robotics (ICMIR)

作者： Li, Zhen Feng Li, Jing Tao Li, Xiao Fan Yang, Yi Jian Xiao, Jie Xu, Bo Wen Kunming Univ Sci & Technol Kunming 650051 Yunnan Peoples R China Xidian Univ Xian 710000 Peoples R China

Combining the current development status of intelligent robots,obstacle avoidance and automatic tracking are the focus of robot travel *** on the development status of domestic intelligent control systems,current technology,etc,this paper uses arduino as the core control system, combined with infrared tracking *** modules,such as ultrasonic obstacle avoidance module, motor drive module and power module,have designed a good control scheme,thus realizing the intelligent tracking and obstacle avoidance function of the wheeled robot. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： Wheel robot arduino tracking obstacle avoidance

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Application of Artificial Intelligence in Electrical Automation control 3

Application of Artificial Intelligence in Electrical Automat...

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3rd international Conference on Mechatronics and intelligent Robotics (ICMIR)

作者： Yang, Li Bo Guangdong Univ Sci & Technol Dongguan 523083 Peoples R China

With the development of modern science and technology, artificial intelligence technology has increasingly affected all aspects of people's lives, especially in the field of industrial electrical automation control, which has achieved good results. Artificial intelligence technology has changed the traditional technology mode and injected new force into the field of electrical automatic control. Firstly, this paper briefly expounds the artificial intelligence technology, and points out the value of artificial intelligence technology in electrical automation control. Then, combined with the value of the article, the application of artificial intelligence technology in electrical automation control is classified and explained, which provides a theoretical reference for future research in related fields. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： artificial intelligence automatic control control application

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Design of Office intelligent Lighting System Based on Arduino 3

Design of Office Intelligent Lighting System Based on Arduin...

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3rd international Conference on Mechatronics and intelligent Robotics (ICMIR)

作者： Li, Zhenfeng Li, Jingtao Li, Xiaofan Yang, Yijian Xiao, Jie Xu, Bowen Kunming Univ Sci & Technol Kunming 650051 Yunnan Peoples R China Xidian Univ Xian 710000 Peoples R China

In view of the current problems of energy waste in China's office lighting, lack of intelligent lighting control and single adjustment mode, based on the domestic intelligent control system, development status, current stage technology, etc., this paper proposes to adopt arduino as the main controller, combine with the infrared inductive sensor and the light sensor, the wifi network is used as the communication mode, and the delay, turn-off control and dimming functions can be automatically realized according to the detection condition of the sensor, thereby realizing the detection of the office lighting environment and the control and adjustment of the office lighting fixture. The purpose of this system is that it has the characteristics of low cost and low carbon green, which is very suitable for office environment. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： Smart lighting office microcontroller wifi

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Cross-Domain Guidance Positioning Method Based on Multi-Layer Network Structure 21

Cross-Domain Guidance Positioning Method Based on Multi-Laye...

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3rd European symposium on computer and Communications, ESCC 2021

作者： Wu, ChengFeng Guo, XiaoYun Xu, Cheng Qi, Hang Liu, Yanxu Zhao, Jianmin Hu, Enwen Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory China Beijing University of Posts and Telecommunications China

ISBN: (纸本)9781450387491

Oriented towards the requirements for reliable positioning and navigation of aircraft under the condition of rejection of navigation satellite, we proposed cross-domain guide positioning methods based on multi-layer network coverage, and designed the relative positioning network construction methods between ground nodes, aircrafts and ground nodes, aircrafts and target nodes. Combined with the relative positioning network characteristics of each layer, at the same time, considered the computational complexity and location accuracy, the self-established multi-point coordinate system method and the robust location method are proposed. © 2021 ACM.

关键词： Aircraft

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Matlab/Simulink Based Modeling and Simulation of Fuzzy PI control for PMSM 3

Matlab/Simulink Based Modeling and Simulation of Fuzzy PI Co...

引用

3rd international Conference on Mechatronics and intelligent Robotics (ICMIR)

作者： Gu, DaWei Yao, Yao Zhang, Deng Ming Cui, Ye Bing Zeng, Fan Quan Shanghai Aerosp Control Technol Inst Shanghai 201109 Peoples R China Shanghai Engn Res Ctr Servo Syst Shanghai 201109 Peoples R China

According to the disadvantages of PID control, this paper aims at applying fuzzy control in FOC control of PMSM. The controller automatically adjusts the two parameters of the PI controller based on changes in (e) and (ec). The simulation result shows that more dynamic and steady-state can be obtained by using fuzzy PI control. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： PI control fuzzy control FOC PMSM

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Construction of rail wear and crack initiation prediction model combined with BP neural network

Construction of rail wear and crack initiation prediction mo...

引用

international symposium on computer science and intelligent controls (ISCSIC)

作者： YiChao Wu ShuYing Wang Officers College of PAP No. 489 Chengdu China Line9 Operation Center of 3rd Chengdu Metro Operation Chengdu Metro Operation Co. Ltd Chengdu China

Aiming at the prediction of rail wear and crack initiation, based on the data measurement and analysis of the actual on-site wear and crack initiation of rails. A BP neural network combined with non-equidistant gray prediction model of rail wear and crack initiation is proposed. The prediction model realizes the prediction of rail wear and crack initiation by using the original test data of the rail at unequal time intervals, and takes the detected rail wear and crack initiation data as the model training sample, and then obtains the rail prediction result. After model training, it can be seen that after the BP network optimizes the residual sequence, the rail wear prediction result of the GM-BP model is basically consistent with the actual prediction curve, and the relative error result is 0.091%. Compared with the prediction result of the GM model, the accuracy is improved by 31.6%. In the prediction of rail crack initiation, the GM-BP model also has better prediction accuracy, which satisfies the construction and maintenance requirements of railway rail traffic, and has important reference significance for the development of modern railway traffic.

关键词： Rails Training Analytical models Neural networks Predictive models Maintenance engineering Prediction algorithms

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