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Explosive synchronization in a mobile network in the presence of a positive feedback mechanism

Chinese Physics B 2022年第1期31卷 187-191页

作者： Dong-Jie Qian Jiangsu Provincial Sensor Network Engineering Technology Research Center Wuxi Institute of TechnologyWuxi 214121China

Synchronization is a process that describes the coherent dynamics of a large ensemble of interacting *** study of explosive synchronization transition attracts considerable ***,I report the explosive transition within the framework of a mobile network,while each oscillator is controlled by global-order parameters of the *** numerical simulation,I find that the explosive synchronization(ES)transition behavior can be controlled by simply adjusting the fraction of controlled *** influences of some parameters on explosive synchronization are ***,due to the presence of the positive feedback mechanism,I prevent the occurrence of the synchronization of continuous-phase transition and make phase transition of the system a first-order phase transition accompanied by a hysteresis loop.

关键词： complex network explosive synchronization positive feedback mobile agent

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Polyethylene imine functionalized porous carbon framework for selective nitrogen dioxide sensing with smartphone communication

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Chinese Chemical Letters 2024年第9期35卷 432-436页

作者： Xiaxia Xing Xiaoyu Chen Zhenxu Li Xinhua Zhao Yingying Tian Xiaoyan Lang Dachi Yang Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Engineering Research Center of Thin Film Optoelectronics TechnologyMinistry of Education and Department of ElectronicsCollege of Electronic Information and Optical EngineeringNankai UniversityTianjin 300350China

Highly selective and remotely communicable nitrogen dioxide(NO_(2))sensing may contribute to future Internet of Things in environmental ***,room-temperature NO_(2)sensing materials such as carbon materials is still less than satisfactory due to their insensitive interaction with target ***,polyethylene imine functionalized three-dimensional(3D)carbon framework(PEI/C framework)has been developed for enhanced selective NO_(2)sensing,via combined template synthesis and subsequent ***,the 3D PEI/C framework is observed porous shape with irregular ***,the response of C framework to NO_(2)increases while those of interfering gases decrease after being functionalized with ***,the sensor prototypes show a 100 ppb-concentration detection limit at room ***,such excellent NO_(2)sensing is attributed to the large specific surface ratio of porous 3D PEI/C framework,in which PEI serves as an active layer for target NO_(2),while a passivated one for interfering ***,such PEI/C framework sensor prototype is simulated for NO_(2)sensing device and communicated with a smartphone,showing great potential in future intelligent environmental monitoring.

关键词： PEI/C framework Nitrogen dioxide sensing Enhanced selectivity Smartphone communication Practical monitoring simulation

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Histogram equalization enhancement algorithm based on K-means segmentation 24

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

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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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Multi-functional photonic spin Hall effect sensor controlled by phase transition

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Chinese Physics B 2024年第7期33卷 336-342页

作者：程杰李瑞昭程骋张亚林刘胜利董鹏 School of Science Jiangsu Province Engineering Research Center of Low Dimensional Physics and New EnergyNanjing University of Posts and TelecommunicationsNanjing 210023China College of Electronic and Optical Engineering Nanjing University of Posts and TelecommunicationsNanjing 210023China School of Electrical Engineering Research Center of Intelligent Sensor and Network Engineering Technology of Jiangsu ProvinceNanjing Vocational University of Industry TechnologyNanjing 210023China

Photonic spin Hall effect(PSHE), as a novel physical effect in light–matter interaction, provides an effective metrological method for characterizing the tiny variation in refractive index(RI). In this work, we propose a multi-functional PSHE sensor based on VO_(2), a material that can reveal the phase transition behavior. By applying thermal control, the mutual transformation into different phase states of VO_(2) can be realized, which contributes to the flexible switching between multiple RI sensing tasks. When VO_(2) is insulating, the ultrasensitive detection of glucose concentrations in human blood is achieved. When VO_(2) is in a mixed phase, the structure can be designed to distinguish between the normal cells and cancer cells through no-label and real-time monitoring. When VO_(2) is metallic, the proposed PSHE sensor can act as an RI indicator for gas analytes. Compared with other multi-functional sensing devices with the complex structures, our design consists of only one analyte and two VO_(2) layers, which is very simple and elegant. Therefore, the proposed VO_(2)-based PSHE sensor has outstanding advantages such as small size, high sensitivity, no-label, and real-time detection, providing a new approach for investigating tunable multi-functional sensors.

关键词： photonic spin Hall effect multi-functional sensors phase transition sensing performance

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Surface phonon resonance:A new mechanism for enhancing photonic spin Hall effect and refractive index sensor

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Chinese Physics B 2024年第8期33卷 254-261页

作者：程杰汪承龙李一铭张亚林刘胜利董鹏 School of Science Jiangsu Province Engineering Research Center of Low Dimensional Physics and New EnergyNanjing University of Posts and TelecommunicationsNanjing 210023China College of Electronic and Optical Engineering Nanjing University of Posts and TelecommunicationsNanjing 210023China School of Electrical Engineering Research Center of Intelligent Sensor and Network Engineering Technology of Jiangsu ProvinceNanjing Vocational University of Industry TechnologyNanjing 210023China

Metal-based surface plasmon resonance(SPR)plays an important role in enhancing the photonic spin Hall effect(SHE)and developing sensitive optical ***,the very large negative permittivities of metals limit their applications beyond the near-infrared *** this work,we theoretically present a new mechanism to enhance the photonic SHE by taking advantage of SiC-supported surface phonon resonance(SPhR)in the mid-infrared *** transverse displacement of photonic SHE is very sensitive to the wavelength of incident light and the thickness of SiC *** the optimal parameter setup,the calculated largest transverse displacement of SiC-based SPhR structure reaches up to 163.8 ym,which is much larger than the condition of ***,an NO_(2) gas sensor based on the SPhR-enhanced photonic SHE is theoretically proposed with the superior sensing *** the intensity and angle sensitivity of this sensor can be effectively manipulated by varying the damping rate of *** results may provide a promising paradigm to enhance the photonic SHE in the mid-infrared region and open up new opportunity of highly sensitive refractive index sensors.

关键词： photonic spin Hall effect refractive index sensor surface phonon resonance SiC

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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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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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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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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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