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

共 68658 条记录，以下是4981-4990 订阅

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Design and Validation of a Hardware-In-The-Loop Based Automated Driving Simulation Test Platform 9th

Design and Validation of a Hardware-In-The-Loop Based Automa...

引用

9th international conference of Pioneering computer Scientists, Engineers and Educators, ICPCSEE 2023

作者： Zheng, Kaichao Xue, Xianbin Li, He Cheng, Guoliang School of Automation Guangdong University of Technology Guangzhou China

ISBN: (纸本)9789819959679

With the iterative development of autonomous driving technology, self-driving cars will be one of the most competitive areas in the future. In order to provide students with a better understanding and more comprehensive grasp of autonomous driving technology, a hardware-in-the-loop based autonomous driving simulation test platform has been built. The hardware-in-the-loop system integrates MATLAB/Simulink to build the core control algorithm model, CarMaker simulation software to provide a virtual display interface and vehicle dynamics model, and NVIDIA Jetson to deploy the ECU (Electronic Control Unit) to improve the algorithm power and Logitech G29 series driving simulators providing signal input. It provides a simulation test platform for the development and testing of advanced driver assistance systems, the development and testing of upper layer control algorithms and underlying actuators for autonomous driving, and can provide a teaching and experimental platform for undergraduate students and a development foundation for postgraduate practice. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Autonomous vehicles

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Proceedings - 2023 7th international Symposium on computer science and Intelligent Control, ISCSIC 2023

Proceedings - 2023 7th International Symposium on Computer S...

引用

2023 7th international Symposium on computer science and Intelligent Control, ISCSIC 2023

ISBN: (纸本)9798350342987

The proceedings contain 80 papers. The topics discussed include: leveraging BERT-GRU model for drugs interaction relationship extraction;RMSA-Net: a 4D radar based multi-scale attention network for 3D object detection;multi-kernel learning based disease diagnosis with multi-atlas;sparse nonnegative matrix factorization based on double low-rank and sparse matrix factorization model for spectral variability;survey and practice on architecture and deployment method of digital twin system for intelligent substation;research on customized development technology of substation digital system for scenario-based applications;research and development of dangerous driving warning and rescue devices;a fault diagnosis method of quadrotor UAV based on self-attention mechanism;and algorithm for high-dimensional data based on comprehensible deep progressive fuzzy network.

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Research on Automatic Detection Algorithm for Lumbar Disc Herniation Based on FCOS 3

Research on Automatic Detection Algorithm for Lumbar Disc He...

引用

3rd international conference on computer science, Electronic Information Engineering and Intelligent Control technology, CEI 2023

作者： Guan, Tingqiang Wang, Ziming Hu, Wei School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China Liuzhou Peoples' Hospital Department of Spine and Osteopathy Ward Guilin China

ISBN: (纸本)9798350372052

Lumbar disc herniation is a common spinal disease, and its diagnosis and treatment usually rely on medical imaging technology. Traditional medical image diagnosis methods require high labor and time costs. This article proposes an object detection network based on FCOS to achieve automated detection of lumbar disc herniation. This network introduces the idea of group convolution and incorporates attention mechanisms. In addition, the Soft NMS algorithm was used in the inference stage to avoid the problem of target boxes being violently deleted. The method proposed in this article achieved a mAP of 0.661 on the MRI test set, which has higher accuracy compared to other networks. This method provides a feasible and effective solution for detecting lumbar disc herniation, which is expected to assist doctors in clinical diagnosis. © 2023 IEEE.

关键词： Object detection

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Linking Neural Activity to Image Stimuli Through Convolutional Neural Networks: A Methodology 20

Linking Neural Activity to Image Stimuli Through Convolution...

引用

20th international computer conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2023

作者： Ronglong, Xiong Ling, Li Center for Psychiatry and Psychology School of Life Science and Technology University of Electronic Science and Technology of China MOE Key Lab for Neuroinformation High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province Chengdu610054 China

ISBN: (纸本)9798350318982

In this study, we explored the brain's response to different visual stimuli using convolutional neural networks (CNNs) and functional magnetic resonance imaging (fMRI). We employed four pre-trained CNNs (IncepV3, ResNet50, VGG16, AlexNet) to extract features from images of four visual stimulus types (Body, Face, Place, Tool) used in the HCP working memory experiment. We calculated the cosine similarity of these image features, and the cosine similarity of the brain's fMRI neural activity during stimulus presentation. Correlation results indicate that different types of visual stimuli elicit specific responses in distinct brain regions, and the bilateral fusiform gyrus is capable of distinguishing all types of visual stimuli, enhancing our understanding of the brain's response to visual stimuli and its relation to working memory. © 2023 IEEE.

关键词： Brain

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Robot Learning from Multiple Demonstrations Based on Generalized Gaussian Mixture Model 28

Robot Learning from Multiple Demonstrations Based on General...

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28th international conference on automation and Computing, ICAC 2023

作者： Dong, Jiale Si, Weiyong Wang, Ning Yang, Chenguang School of Automation Science and Engineering South China University of Technology Guangzhou China University of the West of England Bristol Robotics Lab BristolBS161QY United Kingdom

ISBN: (纸本)9798350335859

The quality of skills learned by robots from demonstrations depends on the level of demonstration by the instructor, while models such as Dynamic Motion Primitives (DMP) are extremely sensitive to the quality of demonstrations because they can only learn from a single demonstration. In this paper, we propose a method of learning from multiple demonstration. First, we model multiple demonstration data by generalized Gaussian mixture models (GMMs), then generate a smooth trajectory by the Gaussian mixture regression (GMR), and finally, the generated trajectory is modeled by DMP. This method can capture features from multiple demonstrations of the same task, reducing the impact of incorrect demonstrations on skill learning. Additionally, the generalized Gaussian mixture model has strong data fitting ability, enabling robots to learn smooth and high-quality motion skills. Finally, the effectiveness of the proposed method was verified by performing a Chinese character writing task on a Baxter robot. © 2023 IEEE.

关键词： Demonstrations

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Empirical Analysis and Evaluation of Factors Influencing Adoption of AI-Based automation Solutions for Sustainable Agriculture 1st

Empirical Analysis and Evaluation of Factors Influencing A...

引用

1st international conference on Agriculture-Centric Computation, ICA 2023

作者： Sood, Amit Bhardwaj, Amit Kumar Sharma, Rajendra Kumar LM Thapar School of Management Thapar Institute of Engineering and Technology Punjab Patiala India Thapar Institute of Engineering and Technology Punjab Patiala India

ISBN: (纸本)9783031436048

Rising food demand emphasizes need to modernize ways of agricultural production. The use of digital technologies in agriculture provide a large avenue for increasing production efficiency with limited resources. Artificial Intelligence (AI) uses agricultural data and generates insights for farmers and facilitators for making better decisions during crop lifecycle management resulting in increased productivity. Despite a large number of benefits and government initiatives, the adoption level of AI-based automation solutions in agriculture is quite low which motivates the present study to focus on recognizing factors influencing adoption of AI-based solutions in agriculture. Based on an integrated framework developed on three eminent theories from Information Systems, this study uses of survey data of farmers and facilitators from Northern India, and further examines the interaction of independent variables and validates the proposed framework using factor analysis and regression analysis. The results show that user expectations, information availability, users’ involvement in engagement activities and compatibility of technology solution are key factors influencing intent to adopt AI-based solutions in agriculture. The given framework significantly explains the adoption intention and hence enhances understanding of researchers and practitioners to increase adoption of AI-based solutions for sustainable agriculture. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Regression analysis

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A Query Optimization Method for Blockchain-Based Traceability System 6

A Query Optimization Method for Blockchain-Based Traceabilit...

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6th IEEE Information technology, Networking, Electronic and automation Control conference, ITNEC 2023

作者： Qin, Hongwu Si, Ying Xue, Chao Li, Xiaohong Jiang, Zhenxin Northwest Normal University College of Computer Science and Engineering Lanzhou China

ISBN: (纸本)9781665460033

Blockchain has been widely applied in many fields such as traceability systems and supply chain management due to its characteristics of traceability and non-tamperability. Compared with other application scenarios, the query requirements in the traceability scenario are more complex. The use of traditional blockchain query methods in traceability applications suffers from problems such as low performance, and the existing query optimization methods on blockchain are unable to improve the query performance because they do not consider the needs of complex queries in traceability scenarios. In this paper, we propose a query optimization method for fast traceability on the blockchain by improving the traditional block structure and developing a new query algorithm. A traceability system for Chinese herbal medicine is developed for experiments, and the proposed method is compared with the traditional query method on this system. The experimental results show that the query performance of the method is better than that of the traditional query method. © 2023 IEEE.

关键词： Blockchain

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Design And Implementation Of A PID Control System On A UAV Tracker Antenna

Design And Implementation Of A PID Control System On A UAV T...

引用

2023 international conference on Advanced Mechatronics, Intelligent Manufacture and Industrial automation, ICAMIMIA 2023

作者： Jayadi, Akhmad Adhinata, Faisal Dharma Persada Sembiring, Jaka Setyo Adhi, Canggih Gelar Herman Selsily, Wendel Amiruddin, Ahmad Universitas Teknokrat Indonesian Faculty of Engineering and Computer Science Lampung Indonesia Institut Teknologi Telkom Purwokerto Faculty of Informatics Jawa Tengah Indonesia Universitas Bina Nusantara Faculty of Computer Science Semarang Indonesia Universitas Kristen Indonesia Maluku Faculty of Computer Science Maluku Indonesia

ISBN: (纸本)9798350309225

Antennas are essential components in communication systems, serving as both transmitters and receivers. Their efficient operation depends on precise alignment with the strongest signal source, facilitated by tracker antennas. A recent research study focused on enhancing the responsiveness of these tracker antennas. By manually inputting PID (Proportional-Integral-Derivative) values for direction control, the study achieved notable *** results demonstrated that by fine-tuning PID values, particularly setting Kp=5, Ki=0.21812, and Kd=12, and targeting an angle of 90°, the response time was reduced to 1.2 seconds with an overshoot of 28.8% and 1.6 seconds of oscillation. This optimized control mechanism significantly improved antenna direction accuracy, aligning it with the desired setpoint. Furthermore, the importance of antenna alignment and polarization matching in communication systems was emphasized. Ensuring alignment between the receiving antenna's polarization and the incoming wave polarization is crucial for maintaining a strong signal reception power level. This alignment enables accurate tracking of antenna positions, supporting real-time GPS data communication. Additionally, the study involving horizontal azimuth angle measurements with tracker antennas demonstrated their capability to transmit real-time data from multiple positions, achieving 360° horizontal azimuth angles, along with varying elevations. These precise measurements play a vital role in object monitoring and effective communication. © 2023 IEEE.

关键词： Global positioning system

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Fault Detection and Mitigation in Vehicle Platooning

Fault Detection and Mitigation in Vehicle Platooning

引用

2023 IEEE international conference on Dependable, Autonomic and Secure Computing, 2023 international conference on Pervasive Intelligence and Computing, 2023 international conference on Cloud and Big Data Computing, 2023 international conference on Cyber science and technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Ahmed, Najeebuddin Naser, Hassan Ameli, Amir Lakehead University Faculty of Engineering Thunder Bay Canada Lakehead University Department of Software Engineering Thunder Bay Canada Lakehead University Department of Electrical and Computer Engineering Thunder Bay Canada

ISBN: (纸本)9798350304602

This paper addresses the challenges posed by faults in the complex systems of autonomous vehicles within vehicle platoons. It presents a state-space model tailored for vehicle platoons, incorporating an Unknown Input Observer (UIO) to estimate internal states for each vehicle. By monitoring discrepancies between measured and estimated states, the framework effectively detects faults affecting a vehicle's position, velocity, and acceleration, often stemming from malfunctions in its control and navigation components. The paper also introduces fault detection and identification UIOs to pinpoint faulty parameters and estimate associated fault inputs. To validate its effectiveness, the proposed method undergoes MATLAB simulations across diverse scenarios, confirming its capability to mitigate faults within the vehicle platoon. © 2023 IEEE.

关键词： Autonomous vehicles

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Prediction of mechanical properties of hot-rolled steel based on multi-channel convolutional neural network 5

Prediction of mechanical properties of hot-rolled steel base...

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5th international conference on Internet of Things, automation and Artificial Intelligence, IoTAAI 2023

作者： Wang, Zhengzhong Wang, Shengdong Zhang, Kai Tang, Xingchang Wang, Yichao Jiugang Group Carbon Steel Sheet Factory Jiayuguan735100 China State Key Laboratory of Advanced Processing and Recycling of Nonferrous Metals Lanzhou University of Technology Lanzhou730050 China College of Materials Science and Engineering Lanzhou University of Technology Lanzhou730050 China College of Computer and Communication Lanzhou University of Technology Lanzhou730050 China

ISBN: (纸本)9798400716485

A multi-channel parallel convolutional neural network model is proposed to predict the mechanical properties of hot-rolled steel by chemical content and process parameters. The innovative contribution of this paper is to propose an improved Gramian Angular field method in the field of steel performance prediction, which converts the original data into a two-dimensional image matrix and introduces new features. Compared with the traditional convolutional neural network model, the multi-channel parallel convolutional neural network uses private blocks to decouple data and public blocks to integrate key data, which effectively improves the prediction accuracy of the model. Experiments in this paper show that the optimal hyperparameter structure model proposed in this paper has higher prediction accuracy than similar models proposed in other literatures. © 2023 ACM.

关键词： Convolutional neural networks

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