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

共 68437 条记录，以下是461-470 订阅

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Utilizing Lyapunov-Based Model Predictive Control to Achieve Dynamic Positioning for the Haizhe Autonomous Underwater Vehicle 2

Utilizing Lyapunov-Based Model Predictive Control to Achieve...

引用

2nd international conference on automation, Robotics and computer Engineering, ICARCE 2023

作者： Ji, Daxiong Ogbonnaya, Somadina Godwin Hussain, Ahmad Faraz Hussain, Sheharyar Ye, Zhangying Wang, Xinwei Institute of Marine Electronics and Intelligent Systems Ocean Collage Zhejiang University China Donghai Lab Zhoushan China College of Biosystems Engineering and Food Science Zhejiang University Hangzhou China Ocean Academy Zhejiang University Zhoushan China

ISBN: (纸本)9798350308341

This paper demonstrates the application of a Lyapunov-Based Model Predictive Control (LBMPC) framework in achieving dynamic positioning (DP) using the Haizhe autonomous underwater vehicle (AUV) as a case study. Moreover, addressing the thrust allocation (TA) subproblem and optimizing DP control, LBMPC considers real-world restrictions. It makes use of a Proportional-Integral-Derivative (PID) controller, which ensures stability in the closed-loop system and continual feasibility within the system. Furthermore, attaining an extensive region of attraction, the contraction constraint improves stability. Control theory and optimization techniques are integrated into the framework, enabling smooth online optimization integration for enhanced control performance. The success of this strategy is shown by simulation findings on the Haizhe AUV, which represents a breakthrough in underwater vehicle control. © 2023 IEEE.

关键词： Autonomous underwater vehicles

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Robotic Process automation for Automating Business Processes: A use case 7

Robotic Process Automation for Automating Business Processes...

引用

7th international conference on Computing Methodologies and Communication, ICCMC 2023

作者： Bhardwaj, Vivek Virender Kumar, Mukesh Thakur, Deepak Lamba, Vikas School of Computer Science and Engineering Lovely Professional University Jalandhar India Chandigarh University Punjab India School of Computer Application Lovely Professional University Jalandhar India Chitkara University Institute of Engineering and Technology Chitkara University Punjab 140401 India

ISBN: (纸本)9781665464086

Numerous advances and changes have been brought about by digitalization in both our daily lives and the business world. RPA is an all-purpose technology for developing specialized agents, or "bots," that communicate with GUI components to carry out routine, rule-based operations. Anyone can utilize the RPA to automate digital operations. RPA deployment in business processes can help to provide better service and guarantee that processes adhere to more efficiency and accuracy. The objective of this study is to enable human workers to assign their regular generic repetitive tasks to a software bot, freeing them up to concentrate on more challenging and difficult activities. This study presents a methodology for implementing RPA to extract employee information from the XMLpages. © 2023 IEEE.

关键词： automation Anywhere Business Processes RPA Software BOT

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MA-Unet3+ Segmentation Network of Remote Sensing Image Based on ECA Block 6

MA-Unet3+ Segmentation Network of Remote Sensing Image Based...

引用

6th international conference on computer Network, Electronic and automation, ICCNEA 2023

作者： Gao, Lang Wang, Jianguo Ye, Xin Xi'an Technological University School of Weapon Science and Technology Xi'an China Xi'an Technological University Research Institute of Artificial Intelligence and Data Science Xi'an China

ISBN: (纸本)9798350305388

Semantic segmentation is a basal task and is a typical computer vision problem. Although semantic segmentation is developing rapidly, the speed and accuracy of model segmentation still need to be further improved. For solve the issue of scale differences between target objects and loss of spatial information in the segmentation task of remote sensing images, by improving the original U-Net3+ network and introducing the attention mechanism, a new network MA-Unet3+ is constructed. In the coding phase, images of unlike scales are fused, and the full-scale connections are pruned, some skip connections are removed, and attention mechanisms are introduced between each layer. The improved model is contrast with some common network models, and the experiment achieves 78.7% average intersection (mIoU) on the Vaihingen dataset, which is 0.8% better than this optimized network U-Net3+, the average category pixel accuracy (MPA) is 92.4%, which is 1.2% better, and the similarity coefficient (Dice) result is 87.3%, which is 0.8% better. 0.8%, it is observed that MA-Unet3+ is precede other algorithms. © 2023 IEEE.

关键词： Semantic Segmentation

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A Many-to-Many UAV Pursuit and Interception Strategy Based on PERMADDPG 5

A Many-to-Many UAV Pursuit and Interception Strategy Based o...

引用

5th international conference on Robotics and computer Vision, ICRCV 2023

作者： Zhang, Jiacheng Qi, Guoqing Xu, Lei Li, Yinya Sheng, Andong College of Automation Nanjing University of Science and Technology Jiangsu Nanjing China

ISBN: (纸本)9798350326369

To address the problem of multiple unmanned aerial vehicles (UAVs) cooperatively pursuing and intercepting non-cooperative UAVs in complex environments, we propose a prioritized experience replay multi-agent deep deterministic policy gradient (PERMADDPG) algorithm based on deep reinforcement learning. By designing algorithm models, state spaces, action spaces, reward functions, and incorporating prioritized experience replay techniques, the UAVs are trained to learn pursuit and interception strategies within a centralized training and distributed execution framework. The algorithm expands research on scenario where the "escaping UAVs have superior speed and maneuverability compared to the pursuing UAVs" and alleviates the large amplitude and slow convergence of the MADDPG algorithm when facing complex environments. Finally, through simulation experiments, the effectiveness of the proposed algorithm in solving the many-to-many UAV pursuit and interception problem is verified. By comparing it with the traditional MADDPG algorithm, the proposed algorithm demonstrates the ability of improving pursuit success rate and reducing response time effectively, while converging faster and minimizing oscillation amplitude as well. © 2023 IEEE.

关键词： Reinforcement learning

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Image Thermal Radiation Restoration Method Based on Gaussian Double Ring Filter 2

Image Thermal Radiation Restoration Method Based on Gaussian...

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2nd international conference on Artificial Intelligence and computer Information technology, AICIT 2023

作者： Zhang, Tianxu Wang, Tian School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Province Wuhan China School of Electrical Information Wuhan University of Engineering Hubei Province Wuhan China

ISBN: (纸本)9798350302950

Traditional image restoration methods only study the restoration method based on the image itself, without considering the imaging physical process and the radiation characteristics of the object. Therefore, traditional methods have poor effects on image thermal radiation removal. Therefore, this paper proposes a joint frequency space time domain denoising and restoration algorithm that combines an improved Gaussian ring filter with smooth filtering, allowing the filter to freely adjust the radius, shape, size, and position of the ring according to different image conditions, in order to achieve better restoration effects. After processing the image using the algorithm proposed in this article, the signal-to-noise ratio is significantly improved, and the restored image retains more edge and detail information, effectively improving the resolution of the target image. © 2023 IEEE.

关键词： Image denoising

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Application of computer Artificial Intelligence technology in Image Processing Botany Control System of Mikania Micrantha

Application of Computer Artificial Intelligence Technology i...

引用

2023 IEEE international conference on Electrical, automation and computer Engineering, ICEACE 2023

作者： Shuqiang, Li Wei, Chen University of Electronic Science and Technology of China Department of Mechanical and Electrical Engineering Zhongshan Institute Zhongshan Zhongshan China Industry Research Center Wonders Information Co. Ltd. Beijing China

ISBN: (纸本)9798350309614

The Nano-Hyperspec spectrometer was used to preprocess Mikania micrantha images, such as geometric correction, image denoising, radiation correction and bad band elimination. The optimal exponential coefficient method (OIF), adaptive band method (ABS), automatic subspace segmentation (ASP) combined with adaptive band selection method (ASP+ ABS) were used to screen the bands. In this way, the feature bands with relatively large information and low correlation between bands are obtained, and then three remote sensing images are formed. SVM algorithm was used to classify three different types of Mikania micrantha images, evaluate the recognition ability of three kinds of hyperspectral characteristics on Mikania Micrantha images, and screen out the hyperspectral characteristics that can better reflect Mikania Micrantha images. Micrantha Hyperspace was mapped in the study area, and the mapping accuracy was 79.62%. The user accuracy is 67.85%. The ABS spectral selection method was used to locate Micrantha Hyperspace, and the accuracy of mapping was 75.63%, and the accuracy of user was 67.96%. (ASP+ ABS) algorithm was 86.95%. The user accuracy is 92.65%. © 2023 IEEE.

关键词： artificial intelligence image processing mikania micrantha prevention and cure UAV

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A Research on Scattering Removal technology Using Compact GPU Machine for Real-Time Visualization 23

A Research on Scattering Removal Technology Using Compact GP...

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23rd international conference on Control, automation and Systems, ICCAS 2023

作者： Ono, Seiya Kim, Hyun-Woo Cho, Myungjin Lee, Min-Chul Kyushu Institute of Technology Department of Computer Science and Networks Fukuoka Iizuka820-8502 Japan School of ICT Robotics and Mechanical Engineering Iitc Hankyong National University Kyonggi-do Anseong17579 Korea Republic of

ISBN: (纸本)9788993215274

In this paper, we propose a system that enables visualization under the situation of scattering media such as fog and smoke by Peplography which is scattering media removal system, on a small GPU machine. Compared to conventional haze removal techniques, peplography technology is capable of removing more dense scattering media and can handle cases where the density of fog varies in the image. On the other hand, the conventional peplography process is performed on a desktop PC, and no system has yet been developed to perform peplography in an outside environment. Thus, we have developed a peplography system using the Jetson AGX Xavier, a single-board computer equipped with a GPU, which is superior to conventional methods in terms of portability, execution speed, and power consumption. We also demonstrate the performance of this system by conducting experiments using this system under a simulated scattering media scene and evaluating the obtained results in terms of FPS and the image evaluation metric. © 2023 ICROS.

关键词： Graphics processing unit

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Numerical study on visual cue technology of SLD based on CRM aircraft 4

Numerical study on visual cue technology of SLD based on CRM...

引用

4th international conference on computer Vision and Information technology, CVIT 2023

作者： Xu, Xian Chen, Yingchun Huang, Xiong Han, Zhirong Chen, Hang Shanghai Aircraft Design & Research Institute Shanghai201210 China School of Automation Northwestern Polytechnical University Xi’an710072 China

ISBN: (纸本)9781510672864

Ice detection of supercooled large droplets(SLD) is a key technology for ensuring aircraft flight safety. With reference to the advisory circular and combination of the flight scenarios, this paper studies the visual cue technology of SLD using numerical simulation method based on the Common Research Model. Unstructured grids are generated for the entire model, and FENSAP-ICE software is used to obtain the droplet impingement characteristics. Sensitivity analysis of the icing and flight parameters is carried out. The droplet impingement characteristics after encountering normal droplets and SLD conditions are analyzed. The reference component and it’s specific visual location for visual cue are determined. © 2024 SPIE.

关键词： Sensitivity analysis

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Research on optimization of rail surface defect detection algorithm

Research on optimization of rail surface defect detection al...

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2023 international conference on computer Application and Information Security, ICCAIS 2023

作者： Li, Gang Xue, Caixia Ding, Yunfeng Anhui Vocational College of City Management Anhui Hefei230011 China Anhui Vocational College of Electronics & Information Technology Anhui Bengbu233030 China Wuhu GOOGOL Automation Technology Co. Ltd. Anhui Wuhu241060 China

ISBN: (纸本)9781510675032

In the process of detection of rail surface defect with machine vision, crucial step is to denoise and extract feature. Over time, lots of technicist have studied the denoising algorithm and feature recognition algorithm. Nevertheless, there is still some room for studying the accuracy of algorithms. In this paper, an improved algorithm is presented, which applies a bilateral filtering method to denoise ensure that the defect boundary is not weakened, applies grayscale histogram analysis to optimize calculation of the threshold, and applies invariant moment feature extracting to make it possible to accurately identify falling block and collapse defects. The result shows that the detection algorithm of rail surface defects is optimized effectively and the accuracy of recognition is improved. © 2024 SPIE.

关键词： Surface defects

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Contrastive Disentangled Learning on Graph for Node Classification 13

Contrastive Disentangled Learning on Graph for Node Classifi...

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

作者： Zhang, Xiaojuan Fu, Jun Li, Shuang Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang China School of Computer Science and Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350315196

Contrastive learning methods have attracted considerable attention due to their remarkable success in analyzing graph-structured data. Inspired by the success of contrastive learning, we propose a novel framework for contrastive disentangled learning on graphs, employing a disentangled graph encoder and two carefully crafted self-supervision signals. Specifically, we introduce a disentangled graph encoder to enforce the framework to distinguish various latent factors corresponding to underlying semantic information and learn the disentangled node embeddings. Moreover, to overcome the heavy reliance on labels, we design two self-supervision signals, namely node specificity and channel independence, which capture informative knowledge without the need for labeled data, thereby guiding the automatic disentanglement of nodes. Finally, we perform node classification tasks on three citation networks by using the disentangled node embeddings, and the relevant analysis is provided. Experimental results validate the effectiveness of the proposed framework compared with various baselines. © 2023 IEEE.

关键词： Embeddings

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