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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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Improved decoy-state quantum key distribution with uncharacterized heralded single-photon sources

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Chinese Physics B 2024年第2期33卷 204-208页

作者：徐乐辰张春辉周星宇王琴 Institute of Quantum Information and Technology Nanjing 210003China Broadband Wireless Communication and Sensor Network Technology Key Laboratory of Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China Telecommunication and Networks National Engineering Research Center Nanjing University of Posts and TelecommunicationsNanjing 210003China

Encoding system plays a significant role in quantum key distribution(QKD).However,the security and performance of QKD systems can be compromised by encoding misalignment due to the inevitable defects in realistic *** alleviate the influence of misalignments,a method exploiting statistics from mismatched basis is proposed to enable uncharacterized sources to generate secure keys in *** this work,we propose a scheme on four-intensity decoy-state quantum key distribution with uncharacterized heralded single-photon *** only requires the source states are prepared in a two-dimensional Hilbert space,and can thus reduce the complexity of practical ***,we carry out corresponding numerical simulations and demonstrate that our present four-intensity decoy-state scheme can achieve a much higher key rate compared than a three-intensity decoy-state method,and meantime it can obtain a longer transmission distance compared than the one using weak coherent sources.

关键词： quantum key distribution heralded single-photon source decoy-state method

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Power Quality Disturbances Classification Based on WOA-SVM Algorithm

Power Quality Disturbances Classification Based on WOA-SVM A...

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2023 International Conference on Power Energy Systems and Applications, ICoPESA 2023

作者： Ji, Ping Zhu, Quan Maanshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Maanshan China Wanjiang University of Technology Maanshan China

ISBN: (纸本)9798350345605

With the rapid development of new energy technology, all kinds of distributed power grids are connected to the main power grid, generating a large number of complex disturbance signals. In order to ensure the safety of the power grid and solve the difficult problem of power grid disturbance identification, this paper proposes a classification recognition algorithm based on the combination of energy difference (ED) and support vector machine (SVM) optimized by the Whale optimization algorithm (WOA). Firstly, the disturbance signal is decomposed with multi-resolution, and the energy difference of each layer is calculated as the characteristic quantity of the disturbance signal. Then, WOA algorithm was used to optimize SVM, and the optimal solutions of penalty parameters and kernel parameters were obtained. Finally, the feature vector is input into the WOA-SVM model, and the output disturbance signal type is automatically identified. Experimental results show that this method can accurately identify single and complex disturbance signals. In the noise environment, it shows strong robustness. The overall recognition rate of ED-WOA-SVM is over 99%. © 2023 IEEE.

关键词： Support vector machines

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Highly efficient twin-field quantum key distribution with neural networks

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Science China(Information Sciences) 2023年第8期66卷 281-282页

作者： Jingyang LIU Qingqing JIANG Huajian DING Xiao MA Mingshuo SUN Jiaxin XU Chun-Hui ZHANG Shipeng XIE Jian LI Guigen ZENG Xingyu ZHOU Qin WANG Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Telecommunication and Networks National Engineering Research Center Nanjing University of Posts and Telecommunications

Quantum key distribution(QKD) allows two legitimate parties, Alice and Bob, to share a series of random bits that are secured by the laws of quantum mechanics. As a remarkable theoretical progress towards longer distances, the proposal of twin-field QKD(TF-QKD) [1] shows the capability to break a repeaterless bound and provides a key rate in the square-root scale of channel transmittance(i.e.,

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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...

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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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Application research of Webshell detection system based on deep learning

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

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

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

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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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50 GPON network and Technical Exploration 10

50 GPON Network and Technical Exploration

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10th IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2024

作者： Sulaiman, Azlan Bin Muhammad, Surajo Man, Zulhedry Bin Abdul Hamidun, M. Zulhafiz Bin Amiruddin, M. Fadzil Bin Roslee, Mardeni Bin Center for Intelligent Network Telekom Research & Development Cyberjaya Malaysia TM Technology Services TM Annexe Mobiles & Wireless Division Kuala Lumpur Malaysia Multimedia University Centre For Wireless Technology Faculty of Engineering Cyberjaya63100 Malaysia

ISBN: (纸本)9798350364163

As the demand for bandwidth and high-performance applications skyrockets, network operators and the ITU-T standardization sector are driving the evolution toward next generation optical networks, such as the 50Gb/s Passive Optical network (50GPON). This leap forward is not just an incremental upgrade;it represents a significant technological evolution. The 50GPON system harnesses cutting-edge advancements in optical transceiver components, enabling ultra-low latency, superior error correction, optimized coding, and increased bandwidth capacity, used in uses cases such as enterprise, 5G mobile infra and high-density areas. Additionally, it introduces pioneering innovations in activation procedures, contention-based operations, and robust cryptographic features. These enhanced capabilities position the 50GPON system to meet and exceed the demands of emerging services, paving the way for future-ready networks in Malaysia, including those spearheaded by Telekom Malaysia. © 2024 IEEE.

关键词： Passive optical networks

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A Positioning Method and Realization on Single Satellites in Different Orbits Using TDOA

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China Communications 2023年第7期20卷 108-121页

作者： Laiding Zhao Xun Zhu Gengxin Zhang Zhaowen Wang College of Telecommunications and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China “Telecommunication and Network”National Engineering Research Center Nanjing University of Posts and TelecommunicationsNanjing 210003China Shanghai Aerospace Electronic Technology Institute Shanghai 201109China

The main geolocation technology currently used in COSPAS-SARSAT system is TDOA/FDOA or three-star TDOA,the principle is to determine the location of the signal source by using the difference in arrival time and frequency of the wireless signal between different ***,ground monitoring stations need to be equipped with more than two antenna receiving stations,and multiple satellites should be able to simultaneously relay the distress signal from the target source in order to achieve the geolocation ***,when the ground receiving system has only one antenna receiving station,or the target source is in a heavily obscured environment,the ground side is unable to receive the forwarded signals from multiple satellites at the same time,which will make it impossible to *** address these problems,in this paper,a time-sharing single satellite geolocations method based on different orbits is proposed for the first *** method uses one or several low-earth orbit satellites(LEO)and mediumearth orbit satellites(MEO)in the visible area,and the receiving station only needs one pair of receiving antennas to complete the *** can effectively compensate for the shortcomings of the traditional TDOA using the same moment and have better positioning accuracy compared with the single satellite in the same *** to the limited experimental conditions,this paper tests the navigation satellite using different orbit time-sharing single satellite geolocations,and proves that the positioning method has high positioning accuracy and has certain promotion and application value.

关键词： different orbit time-sharing non-convex optimization single satellite TDOA

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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...

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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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