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检索条件"任意字段=10th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2020"

共 309 条记录，以下是61-70 订阅

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Structure of a multicomponent hybrid model for intelligent control of sequential robot-manipulators 10

Structure of a multicomponent hybrid model for intelligent c...

引用

Russian Advances in Fuzzy systems and Soft computing: Selected Contributions to the 10th international conference on "Integrated Models and Soft computing in Artificial Intelligence", IMSC 2021

作者： Sokolov, Andrei M. National Research University "MPEI" 14 Krasnokazarmennaya str. Moscow111250 Russia

the article deals with the building of a multicomponent system for intelligent control of a multilink robot-manipulator (MRM) on the basis of neuro-fuzzy models. this system makes it possible to take into consideration the uncertainty arising from the environmental factors influence on the MRM when controlling the MRM. the proposed control system is shown to be especially relevant for dual and special-purpose MRMs, which, due to the specifics of their solving problem, are forced to operate under conditions of dynamically changing external influences. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： Iterative methods

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An Agentless Private Cloud Maintenance system Based on Open Source Toolbox

An Agentless Private Cloud Maintenance System Based on Open ...

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ieee international conference on Orange Technologies (ICOT)

作者： Mingsheng Ling Wenjuan Wang Xiaohua Zou Shih-Pang Tseng School of Software and Big Data Changzhou College of Information Technology Changzhou China Academic Affairs Office Hohai University Changzhou Jiangsu China School of Information Science and Technology Sanda University Shanghai China School of Software and Big Data Changzhou College of Information Technology Changzhou China Changzhou Jiangsu China

ISBN: (纸本)9781665454209

the cloud computing provides the more elastic organization of computing resources, and more efficiency of computing works. However, the private cloud is still necessary to various companies and institutions because of the security requirements. therefore, these companies and institutions must manage and maintain their private clouds by themselves. the low-cost and effective private cloud maintenance alternative is an important issue to the private cloud. this paper proposes an agentless maintenance system based on the open-souce tool, Ansible. the proposed approach integrate the Ansible with the Web platform. It is unnecessary to install any software on the client machines. the maintenance system can remotely control the client machine to complete asset management, performance monitoring, Risk reporting, and so on. the proposed approach can effectively reduce the maintenance cost for the private cloud.

关键词： Cloud computing Costs Companies Maintenance engineering control systems Software Asset management

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Bidirectional Power Flow control of Single Phase Matrix Converter Based Inductive WPT system for E-Vehicle Applications

Bidirectional Power Flow Control of Single Phase Matrix Conv...

引用

ieee Power India conference

作者： Abhishek Singhal Narsa Reddy Tummuru School of Computing and Electrical Engineering Indian Institue of Technology Mandi Mandi India

ISBN: (纸本)9781665459310

A closed loop controller is presented to control the average grid power of series-series compensated inductive wireless power transfer (IWPT) using single phase matrix converter (SPMC). the controller enables the bidirectional power flow control between the EV battery and ac mains. SPMC can replace the conventional two stage ac to ac converter which consist two H-bridge and bulky dc link capacitor. It makes system compact and less space consuming. Based on the mathematical analysis linear modulation technique is used to eliminate grid harmonics which ensure high quality of grid current with high power factor in both G2V and V2G mode. this paper present circuit analysis and control technique. Verification of control technique has been done through MATLAB simulation which shows the UPF operation and 1.30% thD in grid current at rated power of 1 kW.

关键词： Wireless communication Reactive power Vehicle-to-grid Frequency modulation Mathematical analysis Bidirectional power flow Wireless power transfer

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Reinforcement Learning for control of Human Locomotion in Simulation

Reinforcement Learning for Control of Human Locomotion in Si...

引用

ieee/RAS-EMBS international conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Andrii Dashkovets Brokoslaw Laschowski Department of Computer Science Ukrainian Catholic University Lviv Ukraine Department of Mechanical and Industrial Engineering University of Toronto Toronto Canada KITE Research Institute Toronto Rehabilitation Institute Toronto Canada

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

control of robotic leg prostheses and exoskeletons is an open challenge. Computer modeling and simulation can be used to study the dynamics and control of human walking and extract principles that can be programmed into robotic legs to behave similar to biological legs. In this study, we present the development of an efficient two-layer Q-learning algorithm, with k-d trees, that operates over continuous action spaces and a reward model that estimates the degree of muscle activation similarity between the agent and human state-to-action pairs and state-to-action sequences. We used a human musculoskeletal model acting in a high-dimensional physics-based simulation environment to train and evaluate our algorithm to simulate biomimetic walking. We used imitation learning and artificial biomechanics data to accelerate training via “expert” demonstrations and used experimental human data to compare and validate our predictive simulations, achieving 79% accuracy. Moreover, when compared to the previous state-of-the-art that used deep deterministic policy gradient, our algorithm was significantly more efficient with lower computational and memory storage requirements (i.e., requiring 7 times less RAM and 87 times less CPU compute), which can benefit real-time embedded computing for robot control. Overall, our new two-layer Qlearning algorithm using sequential data for continuous imitation of human locomotion serves as a first step towards the development of bioinspired controllers for robotic prosthetic legs and exoskeletons. Future work will focus on improving the prediction accuracy compared to experimental data and expanding our simulations to other locomotor activities.

关键词： Legged locomotion Training Accuracy Q-learning Biological system modeling Exoskeletons Robot control Random access memory Prediction algorithms Real-time systems

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Design and Implementation of IP LAN Network Performance Monitoring and Comprehensive Analysis system 10th

Design and Implementation of IP LAN Network Performance Moni...

引用

10th international conference on Computer engineering and Networks, CENet 2020

作者： Qin, Yili Xie, Qing Cui, Yong China Satellite Maritime Tracking and Control Department JiangyinJiangsu214400 China Space Engineering University Huairou Beijing101400 China

ISBN: (纸本)9789811584619

this paper designs and implements a LAN-based IP network performance monitoring and comprehensive analysis system. Aiming at the specific network architecture and environment of LAN, the system has three functional modules: network environment monitoring, service flow data capture analysis, and network failure analysis. When network failure occurs, the system can analyze the network status comprehensively to implement the initial judgment and positioning of the fault, which provides a convenient network management method for network maintenance and management personnel. © 2021, the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Network architecture

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Electrical control and PLC Application Technology 10th

Electrical Control and PLC Application Technology

引用

10th international conference on Frontier computing, FC 2020

作者： Dong, Weiwei Mi, Wenpeng Kong, Lingjian Sun, Yanglin High-Tech Institute Fan Gong-ting South Street on the 12th Qing Zhou Shan Dong China

ISBN: (纸本)9789811601149

In the continuous development of information technology, various control systems and mechanical equipment have been greatly improved and developed, promoting the efficiency of equipment. the emergence and application of PLC technology is the key factor of the development and progress of electrical equipment and information control system. the application of PLC technology has great effect on the development of the entire electrical industry. In this regard, this paper mainly analyzes the connotation of PLC technology and its practical application and significance in the field of electrical control, in order to further promote the high-speed development of the electrical industry by exploring the actual operation of electrical control and PLC application technology. © 2021, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： control systems

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DRome: A Deep Learning-Based Mobile Vision system for Real-Time Range of Motion Evaluation

DRome: A Deep Learning-Based Mobile Vision System for Real-T...

引用

ieee/RAS-EMBS international conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Ankita Mukherjee Helena Alvarez Xiaorong Zhang Zhuwei Qin Charmayne Mary Lee Hughes School of Engineering San Francisco State University San Francisco USA Technische Universitaet Berlin Berlin Germany

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

Musculoskeletal disorders (MSDs) are highly prevalent in modern workplaces, leading to physical pain, reduced mobility, reduced work productivity, and lost time due to sickness. In the physical rehabilitation context, the measurement of joint angle and range of motion (ROM) is a crucial component of musculoskeletal assessment and provides the clinician with valuable information about the flexibility and function of a particular joint, which is used to plan MSD rehabilitation protocols and monitor the effectiveness of therapies. the recent phenomenal development in deep learning-based computer vision and mobile computing have provided a means to track ROM from images captured by a single mobile camera, thereby allowing healthcare providers to assess progress without the need for in-person evaluation. In this paper, we propose DRome, a real-time mobile vision system that leverages deep learning for the evaluation of joint angle and ROM. Initial investigations indicate that the deep learning-based MoveNet model could not accurately measure joint angle (RMSE = 12.02). Subsequently, we assessed whether enhanced performance could be achieved through the utilization of machine learning models, with findings revealing that distinct motions necessitated the use of distinct, optimized machine learning algorithms (RMSE range = 3.70 - 7.29). After demonstrating that the DRome system yielded acceptable performance for the clinical setting, the system was developed for the Android OS, with testing indicating a real-time processing speed of 11–16 frames per second and less than 25 MB memory utilization. While exploratory, this work could lead to a paradigm shift in the way that MSD rehabilitation is managed, especially for individuals who reside in medically underserved areas who have reduced access to quality healthcare.

关键词： Musculoskeletal system Machine learning algorithms Protocols Machine vision Real-time systems Motion control Biomedical monitoring Read only memory Remote monitoring Testing

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Implementation of Fuzzy Logic control in Predictive Analysis and Real Time Monitoring of Optimum Crop Cultivation Fuzzy Logic control In Optimum Crop Cultivation 10

Implementation of Fuzzy Logic Control in Predictive Analysis...

引用

10th international conference on Cloud computing, Data Science and engineering (Confluence)

作者： Roy, Shrestha Dey, Debolina Saha, Medha Chatterjee, Kalvan Banerjee, Sayanti Amity Univ Kolkata Amity Sch Engn & Technol Kolkata India

ISBN: (纸本)9781728127910

In this article, the writers suggested a scheme for analyzing the optimum crop cultivation based on Fuzzy Logic Network (Implementation of Fuzzy Logic control in Predictive Analysis and Real Time Monitoring of Optimum Crop Cultivation) knowledge. the Fuzzy system is Fuzzy Logic's set. By using the soil, temperature, sunshine, precipitation and altitude value, the scheme can calculate the output of a certain *** using this scheme, the writers hope farmers can boost farm output. this, thus will have an enormous effect on alleviating economical deficiency, strengthening rate of employment, the improvement of human resources and food security.

关键词： Predictive Analysis Fuzzy Logic Crop Production Monitoring

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Virtual Synchronous control Strategy for Frequency control of DFIG Under Power-Limited Operation 10th

Virtual Synchronous Control Strategy for Frequency Control o...

引用

10th international conference on Computer engineering and Networks, CENet 2020

作者： Mao, Yunkun Liu, Guorong Ma, Lei Tang, Shengxiang Hunan Institute of Engineering Xiangtan411104 China

ISBN: (纸本)9789811584619

Large scale application of wind power in power system will reduce the system equivalent inertia and primary frequency control ability. this paper proposes a frequency coordination control scheme for DFIG under power-limited operation to increase the amount of system inertia via virtual synchronization control, so DFIG can provide a transient frequency support for system. the released reserve power caused by decrease of pitch angle can compensate the output power sag, and reduce steady state frequency deviation. the characteristics of virtual synchronization control and the pitch angle control of DFIG are combined to effectively suppress the system frequency fluctuation caused by load change. Simulation results show that the proposed coordinated control strategy can make full use of the wind turbines own load reduction operation and virtual synchronous generator technology to effectively improve the frequency stability and inertia support effect of the grid-connected system, which is conducive to the safe and stable operation of the power system. © 2021, the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wind power

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Design of Programmable Soft Starter control system 10th

Design of Programmable Soft Starter Control System

引用

10th international conference on Frontier computing, FC 2020

作者： Zhang, Weidong College of Mechanical Engineering Jilin Engineering Normal University Jilin Changchun130052 China

ISBN: (纸本)9789811601149

With the development of China’s economy and the progress of the machinery industry, compared with the previous electronic equipment, today’s mechanical and electronic equipment motor operating power greatly increased. the traditional starting device is dominated by hard starting, which has caused great harm to the operation of the machine, seriously affected the operating efficiency and service life of the machine, and has been unable to meet the actual needs of production and development in the current era. In this case, the soft start device came into being. Programmable soft start device makes up for the shortcomings of hard start, realizes the stable start and stop of mechanical equipment, guarantees the stable running state of the machine, and thus ensures the production efficiency. Generally speaking, the generation and application of soft start device are of great significance. this paper firstly summarizes the concept and working principle of the programmable software system, puts forward the control system scheme design with the help of Bayesian algorithm, and discusses the hardware and software design of the programmable software control system in detail, and tests the scientificity and reliability of the control system. © 2021, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： control systems

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