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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

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An inverse kinematic solution for redundant robotic arms based on a combination of analytical and geometric methods 9

An inverse kinematic solution for redundant robotic arms bas...

引用

9th international conference on Mechanical Engineering, Materials, and automation technology, MMEAT 2023

作者： Pan, Chengshan Zhao, Yongguo Wang, Peng Xiao, Yongfei Institute of Automation Qilu University of Technology Shandong Academy of Sciences Shandong Provincial Key Laboratory of Robot and Manufacturing Automation Technology Jinan China

ISBN: (纸本)9781510668584

Seven-degree-of-freedom redundant robotic arms with linkage offsets are suitable for complex tasks and have obvious geometric significance. However, the redundancy of degrees of freedom also increases the complexity of the spatial configuration, which makes the kinematic solution slow, computationally intensive and subject to iterative cumulative errors. This paper proposes an inverse kinematic solution method based on a combination of analytical and geometric methods to avoid self-collision by limiting the joints. This allows the redundant robot arm to reach the target position quickly and stably with an optimal attitude. Finally, kinematic simulations using Rviz and Gazebo in ROS demonstrate the high accuracy of the method. This provides an accurate, real-time, complete and stable solution for the kinematic solution of the redundant robotic arm and can be effectively applied to related research and development work in the field of robotics. © 2023 SPIE.

关键词： Robotic arms

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Design of Intelligent Underwater Cable Inspection and Control System 16

Design of Intelligent Underwater Cable Inspection and Contro...

引用

16th th international conference on Intelligent Computing technology and automation, ICICTA 2023

作者： Feng, Fang Du, Qing Yang, Qian School of Information Science and Engineering Tianshi College Tian jin301700 China

ISBN: (纸本)9781643684864

Underwater cables play an important role in marine energy development, island economic development, and national territorial security. Regular testing of them is a necessary means to ensure the safe and reliable operation of underwater cables. This article designs an intelligent underwater cable inspection control system by simulating the motion trajectory of an underwater robot through the motion of a small car. This system uses Raspberry Pi as the intelligent control core, and the computer can display real-time underwater cable images and related environmental data collected by the camera;Underwater intelligent devices use sensors to detect the magnetic field around the cable to determine whether there is a break point in the cable. The positioning module can determine the location of the cable fault. The intelligent device can also monitor the underwater environment temperature of the cable in real-time, collect image information of the cable in real-time, and facilitate intelligent interaction with the computer. © 2024 The Authors.

关键词： Inspection

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Post Diagnosis Digital Routine Monitoring System for Patients of Skin Diseases 5

Post Diagnosis Digital Routine Monitoring System for Patient...

引用

5th IEEE international conference on Electrical, computer and Communication Technologies, ICECCT 2023

作者： Bhadula, Shuchi Sharma, Sachin Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9781665493604

The system for post-diagnosis digital routine monitoring of patients with skin diseases is suggested in this research. The system tracks changes in the patterns of skin diseases and categorizes them according to their severity. The classification levels lead to the creation of monitoring graphs that the dermatologist may take into account for enhancing the diagnostic procedure. Once a skin condition is identified, this device enables remote patients to communicate with skin specialists from their home location. This strategy puts a monitoring tool in the hands of people with skin diseases and their doctors. The technology can monitor and treat skin diseases with the aid of machine learning algorithms, assisting clinicians with further prescriptions and testing. In each follow-up plan for each ailment, recovery charts based on severity levels are also provided. The suggested method of application can be used as part of a skin treatment and monitoring program, and a doctor can be consulted to diagnose and assess the patient more swiftly. In order to provide historical health data for future prevention and control, the system is being built to collect patient data and photographs. For the detection and treatment of skin diseases, automation based on machine learning is used. © 2023 IEEE.

关键词： Diagnosis

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Temperature Prediction for Ultra-Low Temperature Measurement System Based on Improved Extreme Learning Machine Algorithm 3

Temperature Prediction for Ultra-Low Temperature Measurement...

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3rd international conference on Electronic Information Engineering and computer Communication, EIECC 2023

作者： Zhang, Zhenyu Dong, Xiang Xue, Yufei Jiang, Man Cao, Huibin School of Electrical Engineering and Automation Anhui University Anhui Hefei230601 China Institutes of Physical Science and Information Technology Anhui University Anhui Hefei230601 China Hefei Institutes of Physical Science Chinese Academy of Sciences Anhui Hefei230601 China

ISBN: (纸本)9798350359961

Temperature monitoring is essential to ensure the operational safety of fusion devices in the ultra-low temperature liquid helium region. However, the unavoidable errors caused by environmental effects severely hinder the accuracy of its temperature measurement. Considering that traditional methods are not accurate enough to predict the temperature at low temperatures, for the first time, this work proposes an algorithm based on the SSA-PSO-ELM network for constructing a prediction model of the cryogenic measurement system. By this method, the initial number of hidden layer nodes is first randomly generated, then the network is trained with weight thresholds, and finally a quadratic optimization search is performed to determine the best network prediction model. Compared with the traditional algorithm, our algorithm effectively reduces the prediction error, improve the accuracy, and realize more accurate temperature monitoring in ultra-low temperature environment. © 2023 IEEE.

关键词： Extreme Learning Machine Particle swarm arithmetic Sparrow algorithm Temperature prediction Ultra-low temperature measurement system

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The Performance Evaluation of Static Obstacle Recognition by Underwater Pressure Characteristics for Underwater Spherical Robot 20

The Performance Evaluation of Static Obstacle Recognition by...

引用

20th IEEE international conference on Mechatronics and automation, ICMA 2023

作者： Li, Ao Guo, Shuxiang The Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology Beijing Institute of Technology Beijing100081 China Southern University of Science and Technology The Department of Electronic and Electrical Engineering Guangdong Shenzhen518055 China

ISBN: (纸本)9798350320831

Underwater spherical robots are flexible and often perform tasks in narrow, dark and complex environments. The artificial lateral line system inspired by the lateral line system of fish can recognize obstacles. However, currently, the recognition of obstacles under the artificial lateral line system is mainly based on the vibration characteristics of obstacles. Based on the blank recognition of static obstacles, this paper analyzes the feasibility of recognition static obstacles. A polynomial regression model is proposed to detect static obstacles (walls) by moving robots. Finally, the effectiveness of obstacle recognition is verified by experiment and simulation. © 2023 IEEE.

关键词： Regression analysis

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Personalized Secure E-Identity Card Using Block Chain

Personalized Secure E-Identity Card Using Block Chain

引用

2023 international conference on computer Communication and Informatics, ICCCI 2023

作者： Burugari, Vijay Kumar Kanmani, P. Selvaraj, Prabha Potluri, Varun Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering K L Deemed to Be University Vaddeeswaram Andhra Pradesh India SRM Institute of Science and Technology Kattankulathur Department of DSBS Chengalpattu India VIT-AP University Amaravati School of Computer Science and Engineering Andhra Pradesh India University of Texas Dallas Richardson Master of Science in Computer Science TX United States

ISBN: (纸本)9798350348217

Blockchain technology is a new technology in digital platforms for making transactions in a decentralized manner. Blockchain is used for last some year for bitcoin. The preceding block's cryptographic hash, a timestamp, and a transaction are all included in every block in the blockchain. As a result, it is noticeable for security on an identity card. Implementation of blockchain technology for digital identity card maintains a secure network for the user. Identity card has personal information and some important information included. Individual person identity cards are stored in file with encryption method which will hacked by hackers. So a system using blockchain technology for identity card is proposed. In distribute file system, data security for information exchange and storage is provided using blockchain and IPFS (Interplanetary File System) for storing and communicating data securely. © 2023 IEEE.

关键词： Blockchain

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START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer

START: Automatic Sleep Staging with Attention-based Cross-mo...

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2023 IEEE international conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Sun, Jingpeng Wang, Rongxiao Zhao, Gangming Chen, Chen Qu, Yixiao Li, Jinpeng Hu, Xiyuan Yu, Yizhou Nanjing University of Science and Technology School of Computer Science and Engineering China Chinese Academy of Sciences Institute of Automation China Xinjiang University College of Mathematics and System Science China The University of Hong Kong Department of Computer Science Hong Kong University of Chinese Academy of Sciences Ningbo Institute of Life and Health Industry China

ISBN: (纸本)9798350337488

Automatic sleep staging is vital to scale up sleep assessment and diagnosis to serve millions experiencing sleep deprivation and disorders and enable longitudinal sleep monitoring in home environments. However, how to learn from multi-channel raw physiological signal inputs (e.g., EEG and EOG) to capture the sleep stage and physiological signal relations remains a big challenge. In this paper, we propose a sleep staging model, named Sleep Staging Cross-modal Transformer (START), which is a transformer-only method for sleep stage classification. Our model is capable of learning a joint representation from both EEG and EOG signals by using a cross-modal fusion strategy. Experimental results show that our model outperforms the state-of-the-art methods on two public datasets. Furthermore, our model provides considerable reductions in parameters and training time compared to previous methods. © 2023 IEEE.

关键词： Attention Mechanism Cross-modal Network Sleep Staging Transformer

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Estimation of Minimum Miscibility Pressure in Impure/Pure N2Based Enhanced Oil Recovery Process: A Comparative Study of Statistical and Machine Learning Algorithms 6

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

引用

6th international conference on Robotics, Control and automation Engineering, RCAE 2023

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

ISBN: (纸本)9798350315301

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. © 2023 IEEE.

关键词： Nitrogen

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COVID-19 Impact on the Laboratory Practices of the automation Subjects at the University of La Laguna 15

COVID-19 Impact on the Laboratory Practices of the Automatio...

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15th international conference on computer Supported Education, CSEDU 2023

作者： Alayón, Silvia Sigut, Marta Department of Computing Engineering and Systems University of La Laguna La Laguna Spain

ISBN: (纸本)9789897586415

Our practice programs have changed drastically after the appearance of COVID-19. The practical sessions designed for all automation subjects until 2019 were face-to-face. But the arrival of the pandemic and health restrictions resulted in the closure of our university facilities, which forced us to redo the laboratory experiences. It is in this context that simulation and gamification helped us to move forward, since the solution we followed was the virtualization of the laboratory. Although the degree of satisfaction of the students with the new practical sessions is quite good, the purpose of this paper is not to present a detailed analysis of all the simulation and gamification tools we studied, but to explain what our situation was like before COVID-19, how we faced the change, what we learned in the process, what the new practice programs we are currently following are like, what tools have helped us, and what goals we still have to achieve. We hope that our experience can be useful to other teachers. Copyright © 2023 by SCITEPRESS – science and technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： COVID-19

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Design of Digital Fractional Order PID Controller for Piezoelectric Micro-Nano Positioning Stage 13

Design of Digital Fractional Order PID Controller for Piezoe...

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13th IEEE international conference on CYBER technology in automation, Control, and Intelligent Systems, CYBER 2023

作者： Chen, Wenlin Liu, Meng Wang, Fei Zhang, Ying School of Resources and Civil Engineering Northeastern University Liaoning Shenyang China School of Mechanical Engineering and Automation Northeastern University Shenyang China Inner Mongolia North Heavy Industries Group Co.Ltd. Inner Mongolia Baotou China

ISBN: (纸本)9798350315196

To make the micro-nano positioning stage driven by piezoelectric ceramics work with higher positioning accuracy, the controller designed only for simulation can no longer meet the industrial needs. Therefore, this paper designs a control system for the micro-nano positioning stage composed of an upper computer and a lower computer, completing the design of the software functions of the upper computer interface and the development of lower computer functions. A fractional order PID controller for the piezoelectric micro-nano positioning stage is designed, and the finite memory digital realization method is studied to discretize the fractional order PID. The effectiveness of the designed digital fractional order PID controller is verified by physical experiments. The experimental results show that the integrated control system can achieve tracking control under the tracking experiments of sinusoidal signals, triangular signals, step signals with different frequencies and external disturbances. The steady-state error of the fractional order PID controller when tracking the step signal is 60nm, which can realize the motion tracking of the micro-nano positioning stage. © 2023 IEEE.

关键词： Piezoelectric ceramics

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