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

共 69059 条记录，以下是1681-1690 订阅

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Research on Intelligent Operation and Maintenance System of Power Distribution automation Terminal under computer Big Data 3

Research on Intelligent Operation and Maintenance System of ...

引用

3rd IEEE international conference on Electronic technology, Communication and Information, ICETCI 2023

作者： Han, Lu Xing, Zhenhua Wang, Shuyuan Qiao, Dongwei Xie, Yumeng Sun, Peng State Grid tai'An Power Supply Company Tai'an271000 China

ISBN: (纸本)9798350398410

This paper uses the combination of computer Internet of things information processing and configuration of distribution automation terminal operation and maintenance system to carry out innovative design. Then in this paper, the power mobile communication data are accurately collected, processed and configured through the Internet of Things mobile operation and maintenance system, so as to realize the effective association between the power intelligent communication operation and maintenance system and the Internet of Things data configuration and processing platform. The system uses the STX-NUCLEO-6180XA1VL6180X sensor to sense the surrounding environment information. Then use HZ-JK02B model DC power screen monitoring equipment to add a centralized expansion unit. RS485 interface communication to realize branch insulation monitoring. Experiments show that the designed platform has a higher pass rate of operation and maintenance management function, a lower resource occupancy and a better performance. © 2023 IEEE.

关键词： Internet of things

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Semantic Segmentation of Urban Street Scenes Based on Prototype Learning and Neighborhood Attention 5

Semantic Segmentation of Urban Street Scenes Based on Protot...

引用

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

作者： Hu, Hao Piao, Jin-Chun Department of Computer Science and Technology Yanbian University Jilin Yanji China

ISBN: (纸本)9798350326369

Semantic segmentation, as one of the fundamental topics in computer vision, aims to identify the class of each pixel in an image and has a wide range of applications in many fields. Traditional semantic segmentation models for dense prediction can be reduced to learning a single prototype of weight/query vectors for each class, which ignores the rich intra-class diversity and is fully parameterized in a way that does not take into consideration the representational power of the prototype and does not take fully exploit of the model's segmentation capabilities. Hierarchical Transformers have gained a lot of interest in the vision domain due to their superior performance and ease of integration. These models usually employ local attention mechanisms, which effectively reduce the secondary complexity of the self-attention, but also lose the ability to capture long-range dependencies and the properties of the global receptive field. In this study, we propose DiPFormer, which introduces dilated neighborhood attention in the encoder part, which acts as an extension of neighborhood attention to capture more global dependencies and exponentially expands the receptive field without increasing the computational cost;and treats each class as a set of prototypes and directly shapes the pixel embedding space in the Decoder part, which is optimized by optimizing the distance for prediction. Evaluation results on the publicly available dataset Cityscapes show that the method achieves 83.89% mIoU, an improvement of 1.59 percentage points over the SegFormer, proving that the method is an effective improvement over baseline model. © 2023 IEEE.

关键词： Semantic Segmentation

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Nonlinear Model Predictive Control of a Dual-Axis Tilting Quadcopter 10

Nonlinear Model Predictive Control of a Dual-Axis Tilting Qu...

引用

10th IEEE international conference on Cybernetics and Intelligent Systems and IEEE conference on Robotics, automation and Mechatronics, CIS-RAM 2023

作者： Chuah, Jonathan Liang, Xiaoling Ge, Shuzhi Sam National University of Singapore Engineering Science Programme Singapore117576 Singapore National University of Singapore Department of Electrical and Computer Engineering Singapore117576 Singapore

ISBN: (纸本)9798350303087

The dual-axis tilting quadcopter holds great promise for applications that demand both high performance and full actuation in a 6DOF Cartesian task space;however, control system design is complicated by its complex dynamics and over-actuation. In this paper, we propose a real-time optimization-based framework for controlling this system. Our formulation, which combines Nonlinear Model Predictive Control (NMPC) with a control allocation stage, allows the optimizer to fully exploit the rotors' tilt actuation despite their strongly nonlinear dynamics, input constraints, and actuator redundancy. Numerical simulation is provided to illustrate the performance of the proposed control algorithm. © 2023 IEEE.

关键词： Model predictive control

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Path Planning of Deflecting Abrasive Waterjet Peening on Round Corner of the Blade with Limited Spaces 13

Path Planning of Deflecting Abrasive Waterjet Peening on Rou...

引用

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

作者： Pan, Jintao Yao, Shulei Liu, Shuang Chi, Yuxin East China University of Science and Technology Shanghai China

ISBN: (纸本)9798350315196

The blade is an essential part of an aero engine. Its fatigue strength seriously affects the service life of the engine. Waterjet strengthing is a method of improving blade life. However, the blade's round corner is space-limited and prone to interference. In this paper, a waterjet path planning method is proposed to strengthen the round corner of the blade. The surface machining path of the blade is first extracted, and the collision detection between the nozzle and the blade is carried out. The nozzle posture adjustment is then carried out to avoid interference. Finally, experiments are performed to prove the effectiveness of the proposed path planning method. © 2023 IEEE.

关键词： Motion planning

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Control of ROV Thrusters via Discrete Modal State Controller

Control of ROV Thrusters via Discrete Modal State Controller

引用

2023 international conference Automatics and Informatics, ICAI 2023

作者： Nikolov, Nikola N. Grigorov, Ivan V. Chterev, Konstantin I. Technical University of Varna Faculty of Computer Science and Automation Department of Automation Varna Bulgaria Black Sea Research Fund Varna Bulgaria

ISBN: (纸本)9798350312911

Most of the underwater activities are carried out with a Remotely Operated Vehicle (ROV). ROVs are driven by thrusters, and controlling the movement of the ROV underwater is related to continuous regulation of the speed of the electric motors driving its thrusters. This paper presents one variant of ROV propulsion control using a discrete modal state controller. A mathematical description in the state space has been made for one of the most commonly used electric motors. The operation algorithm of the discrete modal state controller to calculate the feedback vector was developed and simulation modeling was done in MATLAB/Simulink. © 2023 IEEE.

关键词： MATLAB

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Research on Chinese Event Extraction Method with No-trigger 6

Research on Chinese Event Extraction Method with No-trigger

引用

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

作者： Li, Yi Geng, Chaoyang Yang, Dan Xi'an Technological University School of Computer Science and Engineering Xi'an China

ISBN: (纸本)9798350305388

Event extraction is a key task in the field of natural language processing, which aims to structure text in preparation for tasks such as subsequent knowledge graph construction. Most of the existing event extraction methods are difficult to handle well the case of containing multiple events within the same document and to distinguish efficiently for negative obfuscation samples. In this paper, we propose a model called RCEENT (A RoBERTa-wwm-based Chinese Event Extraction method with No-Trigger). RCEENT based on RoBERTa-wwm encoder and PTPCG (Pseudo-Trigger-aware Pruned Complete Graph) decoder to address the above problems. The RCEENT model can improve the accuracy of the event detection module without adding too much complexity by using multiple binary classifiers, and improve the results of the event extraction task by using graph pruning and PTPCG model for decoding. RCEENT achieves a 1.4% F1 score improvement in the event detection task and a 3.9% F1 score improvement in the event extraction task on Duee-fin compared to the latest baseline method. © 2023 IEEE.

关键词： Decoding

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Research on Multilevel Degradater Model under Unsupervised Learning 6

Research on Multilevel Degradater Model under Unsupervised L...

引用

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

作者： Lv, Jieyi Wang, Zhongsheng Xi'an Technological University School of Computer Science and Engineering Xi'an China Xi'an Technological University State and Provincial Joint Engineering Lab. of Advanced Network Monitoring and Control Xi'an China

ISBN: (纸本)9798350305388

In most super-resolution experiments, because the data set in the real scene cannot meet the quantity requirements, it is necessary to downsample the high-resolution images using the degradation method to obtain the same proportion of low-resolution images. However, because the same degradation method is used to process images, the processing process of low-resolution images is relatively simple, which is easy to cause model solidification in the subsequent training process. After the training is completed, the generalization ability will be generally low due to the single underlying degradation method. This paper uses the SRMD method to build an unsupervised multilevel degradation, and takes advantage of the adduction network generated in unsupervised learning. After extracting image features, it adopts anisotropic Gaussian fuzzy kernel, bi-cubic subsampling and additive Gaussian noise to compose the degradation training data set. Compared with the traditional bi-cubic PNSR, the performance is improved by 5%. The SSIM value is increased by 3%, and the running speed is increased by 7% on average. © 2023 IEEE.

关键词： Gaussian distribution

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Revealing Ongoing Sensor Attacks in Industrial Control System Via Setpoint Modification

Revealing Ongoing Sensor Attacks in Industrial Control Syste...

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： Dai, Zhihao He, Ligang Yang, Shuang-Hua Leeke, Matthew University of Warwick Department of Computer Science Coventry United Kingdom University of Reading Department of Computer Science Reading United Kingdom School of Computer Science University of Birmingham Birmingham United Kingdom

ISBN: (纸本)9798350304602

A variety of Intrusion Detection Systems (IDSs) for Industrial Control Systems have been proposed to detect attacks and alert operators. Passive and active detection schemes are characterised by whether or not they interact with the process under control, though both categories of approach have limitations relating to either known correlations in the process data or the use of explicit system modelling. We propose setpoint modification as a strategy to address those limitations. The approach superimposes Gaussian noises on setpoint values, which aids in revealing latent correlations between setpoints and measurements, thereby allowing machine learning-based IDSs to learn them during training and verify during inference. We show that by applying the approach to a linear system with PID control, statistical tests can be configured such that the distortion power of sensor attacks is nullified. Building on this foundation, we further adapt passive IDSs for active discovery of sensor attacks in a process-agnostic fashion. The proposed strategy is evaluated using a nonlinear and simulated industrial benchmark, affirming that the approach enhances intrusion detection performance when the specific sensor under consideration is targeted whilst incurring marginal cost. Finally, we explore changing setpoints concurrently when the attacker could manipulate an arbitrary sensor, which also boosts detection performance and motivates the exploration of setpoint selection. © 2023 IEEE.

关键词： Intrusion detection

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A Novel Machine Learning-Based Approach for Analysis, Prediction and Prevention of Accidents on Indian National Highways 7

A Novel Machine Learning-Based Approach for Analysis, Predic...

引用

2023 7th international conference On Computing, Communication, Control And automation, ICCUBEA 2023

作者： Deshpande, Anjali Tribhuvan, Vinit Pune Institute of Computer Technology Department of Computer Engineering Pune India Coep Technological University Department of Computer Engineering Pune India

ISBN: (纸本)9798350304268

Road traffic safety is a matter of crucial concern for the government as well as citizens. Despite all the measures taken to promote road traffic safety in India, there are a lot of regions of vulnerability. This leads to the need of an effective analysis to subdue alarming figures by significant amount. In an attempt to address this problem, we apply statistical analysis and data mining algorithms for analysis, prevention and prediction of road accidents on Indian national highways. To enhance the process of road risk analysis, proposed system puts forth an idea of analyzing the National Highways Authority of India (NHAI) datasets using Hidden Markov Model (HMM) and regression model supported by fuzzy classification. Our proposed system also has an alert module to provide an alarm and also some suggestions to the user through SMS depending upon the travel route. The implementation results indicate that the proposed method yields an accuracy of 84.55% approximately. © 2023 IEEE.

关键词： Baum-Welsh algorithm data mining fuzzy classification Hidden Markov Model (HMM) machine learning regression

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Analysis of Mechanical Life and Running State of Electric Turbine Driver Equipment Based on Motor Current Monitoring 7

Analysis of Mechanical Life and Running State of Electric Tu...

引用

7th international conference on Electrical, Mechanical and computer Engineering, ICEMCE 2023

作者： Dai, Dongyun Jiang, Weiyun Sang, Zhongqing Wang, Zheng School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China

ISBN: (纸本)9798350382877

As an isolated switchgear in KYN switchgear, electric turbine driver equipment still has problems such as low reliability and frequent accidents due to its weak accumulation of electric technology and short promotion and application time. Based on the motor current recording data of electric turbine driver equipment before and after the mechanical life test of circuit breaker handcart, the characteristic parameters such as action time, starting current and energy amplitude are extracted and analyzed. Based on the motor current recording data of electric turbine driver equipment before and after the mechanical life test of circuit breaker handcart, the characteristic parameters such as action time, starting current and energy amplitude are extracted and analyzed. © 2023 IEEE.

关键词： Condition monitoring

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