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检索条件"机构=Ma’anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense"

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Histogram equalization enhancement algorithm based on K-means segmentation 24

Histogram equalization enhancement algorithm based on K-mean...

引用

7th International Conference on Signal Processing and machine Learning, SPML 2024

作者： Sun, Wei Wu, Jianli Hu, Changdi Wanjiang University of Technology China Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense China

ISBN: (纸本)9798400717192

In image enhancement technology, there is a spatial domain method that changes a certain grayscale value or neighboring grayscale value of an image in the spatial domain to achieve the enhancement effect. This article proposes an improvement on the traditional double histogram equalization by using threshold segmentation to perform equalization processing on subgraphs. The values obtained from K-means clustering are used as thresholds to segment images according to different thresholds. After histogram equalization, the two subgraphs are merged into a new image. After simulation testing, the improved algorithm has improved the image enhancement effect, making it more convenient to observe the edge features and contrast of the image. © 2024 Owner/Author.

关键词： Graphic methods

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Design and implementation of UAV obstacle avoidance based on STM32 3

Design and implementation of UAV obstacle avoidance based on...

引用

3rd International Conference on Mechatronics and Mechanical engineering, ICMME 2024

作者： Hu, Xusheng Liu, Juan Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma’anshan243031 China Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot Wuhu241002 China Ma'anshan Technical College Ma'anshan243030 China

ISBN: (纸本)9781510681651

With the development of remote control and telemetry technology, the application of UAV is more and more extensive, and the requirement of UAV flight control is higher and higher. In order to enhance the stability of UAV hardware system, the power supply part is protected in various ways;a spare chip is added to ensure the effectiveness of attitude calculation;SPI peripheral interface is reserved to expand GPS, ultrasonic and other sensors. Through the mathematical model, the calibration method of accelerometer and gyroscope is introduced, and the importance of this step for flight control system is emphasized. The software flow chart of the system is designed, and the mathematical model of obstacle avoidance algorithm is given. The classic PID control algorithm and simulation method are used to realize the obstacle avoidance of UAV. Considering the problems that may be encountered in UAV obstacle avoidance, the mathematical model is established, the evaluation index is given, and the control experiment is designed. Experimental results show that the algorithm has good obstacle avoidance effect and strong robustness in low speed and complex environment. © 2024 SPIE.

关键词： Three term control systems

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Image Enhancement Algorithm of Foggy Sky with Sky based on Sky Segmentation

Image Enhancement Algorithm of Foggy Sky with Sky based on S...

引用

2023 Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2023

作者： Sun, Wei Wu, Jianli Rashid, Haroon Wanjiang University of Technology Ma'anshan243031 China Ma'Anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma'anshan243031 China The Islamia University of Bahawalpur Punjab Pakistan

In recent years, image defogging has become a research hotspot in the field of digital image processing. Through defogging enhancement processing, the visual quality of foggy images can be significantly improved, and it is also an important part of subsequent image processing. To overcome the limitations of traditional image dehazing, an image enhancement algorithm for foggy image with sky based on sky segmentation is proposed. Firstly, based on K-means clustering and sky feature analysis, sky region recognition is performed for fog image with sky. Secondly, according to the pixels of sky region, the rough transmittance is corrected, and the dehazing image is obtained by dark channel prior image dehazing based on guided filter. Finally, the dehazing image is equalized by bi-histogram equalization. This algorithm effectively avoids the problem of color distortion and halo caused by the traditional dark channel prior dehazing algorithm in the sky area, and makes the restored foggy image have better global and local contrast. © Published under licence by IOP Publishing Ltd.

关键词： Image enhancement

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Application research of Webshell detection system based on deep learning

Application research of Webshell detection system based on d...

引用

2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Zhang, Liting Zhu, Jinrui Wanjiang University of Technology Ma'anshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Ma'anshan243031 China Wanjiang University of Technology Ma'anshan243031 China

ISBN: (纸本)9798350355581

Aiming at the limitations of traditional Webshell detection methods, such as relying on static rule matching, easy to be affected by confusing technologies, and difficult to cope with constantly evolving attack means. A Webshell detection method based on deep learning is proposed. This method not only integrates convolutional neural network (CNN) algorithm and recurrent neural network (RNN) algorithm, but also introduces multi-dimensional strategies of opcode analysis, regular detection and entropy detection to enrich the detection means. It is proved that this algorithm greatly improves the accuracy and real-time of Webshell detection. © 2024 IEEE.

关键词： Adversarial machine learning

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Application research on Blockchain-based Asynchronous Federated Learning in Data Security Sharing in Vehicle network

Application Research on Blockchain-based Asynchronous Federa...

引用

2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Zhang, Liting Wang, Yunfei Wanjiang University of Technology Ma'anshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Ma'anshan243031 China Wanjiang University of Technology Ma'anshan243031 China

ISBN: (纸本)9798350355581

In the vehicle-connected environment of intelligent transportation systems, although data sharing brings new development opportunities, it is also accompanied by challenges such as privacy and security (such as data leaks) and upload efficiency. These issues reduce the enthusiasm of data providers to participate. In order to solve the above problems, this research aims to propose a new architecture based on asynchronous federated learning, focusing on solving bandwidth, security and privacy issues encountered in IoT vehicle data sharing, and is committed to improving the reliability of data sharing. and efficiency. By adopting blockchain technology to enhance the security and reliability of model parameters, reducing transmission loads and alleviating privacy concerns. At the same time, the research also uses a distributed, efficient and secure data sharing architecture based on blockchain to select nodes and further optimizes the asynchronous federated learning scheme to improve overall efficiency. Experimental results show that the proposed scheme not only improves the learning accuracy, but also significantly accelerates the convergence speed, and at the same time enhances privacy protection and service quality, fully verifying the effectiveness and practicality of this research method. © 2024 IEEE.

关键词： Differential privacy

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research on network Intrusion Detection System Based on Independent Q-learning

Research on Network Intrusion Detection System Based on Inde...

引用

2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Zhang, Liting Zhou, Enxiang Wanjiang University of Technology Ma'anshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Ma'anshan243031 China Wanjiang University of Technology Ma'anshan243031 China

ISBN: (纸本)9798350355581

Aiming at the problem that traditional network intrusion detection systems have low accuracy in identifying complex and changeable network attack patterns, a multi-agent network intrusion detection system based on independent Q-learning is proposed. The system adopts a multi-agent architecture, and each agent uses an independent Q learning algorithm to monitor and assess network behavior, and improves the efficiency and accuracy of network intrusion detection through intelligent methods. The experimental results show that compared with traditional intrusion detection methods, the detection accuracy, response speed and robustness of this system are significantly improved. It can show good adaptability and generalization ability. It provides a new solution for the field of network security and has certain theoretical and practical value for building a more intelligent and reliable network security protection system. © 2024 IEEE.

关键词： network intrusion

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Design of Solar Endurance Control for Unmanned Aerial Vehicles based on Schmidt Trigger Control

Design of Solar Endurance Control for Unmanned Aerial Vehicl...

引用

2023 Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2023

作者： Hu, Xusheng Liu, Juan Kocheril, Rajesh Ma'Anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma'anshan243031 China Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot Wuhu241002 China Ma'Anshan Technical College Ma'anshan243030 China Toc H Institute of Science & Technology APJ Abdul Kalam Technological University Kerala India

In order to improve the endurance of unmanned aerial vehicles (UAVs), a power supply controller with automatic switching between solar energy and battery was designed. The controller is mainly composed of an AT89C51 single chip microcomputer. By collecting ambient light intensity and comparing it with the preset light intensity of the system, the controller completes automatic switching of the power supply for solar unmanned aerial vehicles, thereby achieving continuous and stable power supply for solar unmanned aerial vehicles. In addition, the implementation method of the single-chip microcomputer program in the controller is also introduced. The control core is to use Schmidt de shake control to switch between solar energy and battery, and to test the various functions of the controller through the flight experiment of a small solar powered unmanned aerial vehicle. Tests have found that solar powered drones using this controller can navigate for a long time in weather with varying light intensity, and the device operates well, effectively improving the power stability of solar powered drones. © Published under licence by IOP Publishing Ltd.

关键词： Controllers

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Design of Temperature Measurement and Identification System based on STM32 22

Design of Temperature Measurement and Identification System ...

引用

2022 International Workshop on Control Sciences and Automation, WCSA 2022

作者： Hu, Xusheng Liu, Juan Tao, Binbin Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma'anshan243031 China Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot Anhui Wuhu241002 China Ma'anshan Technical College Ma'anshan243030 China

ISBN: (纸本)9781450389396

In order to carry out contactless temperature measurement and identification and improve the speed of authentication, a temperature measurement and identification system based on STM32 is designed. Infrared temperature sensor is used for contactless temperature acquisition and measurement, and openmv system is used for identification. Openmv accurately recognizes the face and transmits the data to the single chip microcomputer, so as to control the LED lamp and buzzer for corresponding data output and alarm. The infrared temperature sensor collects the temperature and accurately displays it on the OLED screen through the single chip microcomputer. The experimental data show that the temperature control accuracy is ± 0.7 g, the success rate of identity recognition is higher than 80%, and the temperature and identity recognition effect are obvious. © 2022 ACM.

关键词： Temperature measurement

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research on Output Characteristics of Solar Photovoltaic Power Generation MPPT

Research on Output Characteristics of Solar Photovoltaic Pow...

引用

2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021

作者： Liu, Juan Hu, Xusheng Ma'anshan Technical College Ma'anshan243030 China Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and Intellisense Ma'anshan243031 China

ISBN: (纸本)9781665441308

In order to improve the utilization efficiency of solar energy, based on the in-depth study of the characteristics of solar energy, a control scheme based on daily motion trajectory was designed. In this scheme, single chip microcomputer is used as the controller to realize the output of SPWM waveform, and the compound PID with multiplexing selection is used to control the Angle of solar panel, so as to achieve the effect of fast and sensitive tracking of solar illumination. © 2021 IEEE.

关键词： Solar energy

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Application research of Webshell detection system based on deep learning

Application research of Webshell detection system based on d...

引用

International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Liting Zhang Jinrui Zhu Ma’anshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Wanjiang University of Technology Ma’anshan China Wanjiang University of Technology Ma’anshan China

ISBN: (数字)9798350355581

ISBN: (纸本)9798350355598

关键词： Deep learning Recurrent neural networks Accuracy Computational electromagnetics Real-time systems Entropy Convolutional neural networks

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