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19th Chinese National Conference on Computational Linguistic, CCL 2020

作者： Hu, Huijun Wang, Cong Dai, Jianhua Liu, Maofu School of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan430065 China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal University Changsha410081 China

In recent years, classification and rating of social emergency event have attracted more and more attentions in emergency management. However, most of the current studies adopt the rule-based methods to identify the evidences for event judgement, and have troubles in event judgement due to the complexity of social emergency event composition and the flexibility of language description. Inspired by the idea of event extraction, this paper has proposed the event judgement method via BiLSTM (Bidirectional Long-Short Term Memory) and CRF (Conditional Radom Fields) based on event classification and evidence extraction. The social emergency event classification is carried out firstly, and then the event evidences are extracted based on event type. In the end, the rating of social emergency event is judged with the attention mechanism and the combination of event type and evidence. Experimental results show that the proposed method is more robust than rule-based ones, and effective in the social emergency event judgement. © 2020 China National Conference on Computational Linguistics Published under Creative Commons Attribution 4.0 International License

关键词： Extraction

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Three-dimensional spin Hall effect of light in tight focusing

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Physical Review A 2020年第2期101卷 023819-023819页

作者： Weixing Shu Chuyang Lin Jun Wu Shizhen Chen Xiaohui Ling Xinxing Zhou Hailu Luo Shuangchun Wen Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices School of Physics and Electronics Hunan University Changsha 410082 China Key Laboratory of Low Dimensional Quantum Structures and Quantum Control of Ministry of Education Hunan Normal University Changsha 410081 China College of Computer Science and Electronic Engineering Hunan University Changsha 410082 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application College of Physics and Electronic Engineering Hengyang Normal University Hengyang 421002 China

We theoretically propose the realization of a three-dimensional (3D) spin Hall effect (SHE) of light by tightly focusing a linearly polarized light. Owing to the spin-orbital interaction in focusing, the left and right circularly polarized components of light are partly converted into each other, acquiring opposite vortex phases. As the superposition of the vortex and the initial vortex-free light, the two polarized components exhibit spiral intensity patterns which rotate oppositely around the propagation axis. Consequently, the two spin components are distributed alternatively in both the azimuthal and the longitudinal directions, leading to a 3D array of split spin components, and the transverse intensity is also spit asynchronously. Moreover, that array is rotatable by the incident polarization, and the longitudinal spacing in the array can be controlled by the numerical aperture of the lens. The 3D SHE of light finds an additional degree of freedom available to control the spin state of the photon, which may be valuable in optical manipulation and quantum information.

关键词： Classical optics

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Modified image dehazing method based on dark channel prior 2nd

Modified image dehazing method based on dark channel prior

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2nd International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2018

作者： Hu, Junpeng Cao, Xinrong Chen, Xinwei Li, Zuoyong Zhang, Fuquan College of Mathematics and Computer Science Fuzhou University Fuzhou China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China

ISBN: (纸本)9783030045845

Image dehazing is an important research topic in the field of image processing and computer vision. Image dehazing aims to remove haze in images and make image scenes clearer. Image dehazing based on dark channel prior is a currently popular type of methods. However, image dehazing results obtained by existing methods based on dark channel prior usually have color distortion and low brightness causing partial image details invisible. To alleviate this issue, we presented a modified method based on dark channel prior. First, the proposed method estimates the value of atmospheric light by using a quadtree algorithm, and uses the dark channel prior to pixelwisely estimate and optimize medium transmission. Second, the proposed method uses a classic atmospheric scattering model to generate an initial image dehazing result, and transforms the result from RGB (Red, Green, and Blue) color space to HSV (Hue, Saturation, and Value) color space. Finally, the proposed method conducts the CLAHE (Contrast Limited Adaptive Histogram Equalization) algorithm on the V component of the initial result, and maps the result into the RGB space to obtain final image dehazing result. Experimental results showed that the proposed method effectively alleviated color distortion and made image scenes clearer in image dehazing results. © Springer Nature Switzerland AG 2019.

关键词： Demulsification

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Hybrid chaotic encryption algorithm for securing DICOM systems

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International Journal of Performability Engineering 2019年第5期15卷 1436-1444页

作者： Jiao, Ge Zhou, Sheng Li, Lang Zou, Yi College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China School of Environment Protection and Safety Engineering University of South China Hengyang421002 China

The DICOM system contains patients' personal privacy and may present a risk of information leakage in telemedicine diagnostics. In order to solve the security problem of the DICOM system, we propose a medical image encryption method based on the cross-diffusion of the logistic map and the Chebyshev map. We first parse the DICOM image and read the data elements, and then we use the logistic map and the Chebyshev map to generate a key. Then, we cross-use these two sequences for further image encryption diffusion. Finally, we conduct in-depth experiments and comparisons with existing algorithms to validate the characteristics of high security and low correlation of adjacent pixels of the proposed encryption algorithm. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： Medical imaging

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Global stability of the periodic solution of the three level food chain model with extinction of top predator

arXiv

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arXiv 2021年

作者： Cheng, Kaijen You, Hongming Yang, Ting-Hui School of Mathematics and Statistics Zhaoqing University Guangdong Zhaoqing526061 China College of Mathematics and Computer Science Quanzhou Normal University Quanzhou362000 China Department of Mathematics Tamkang University No. 151 Yingzhuan Road Tamsui Dist. New Taipei City25137 Taiwan Fujian Provincial Key Laboratory of Data-Intensive Computing Key Laboratory of Intelligent Computing and Information Processing School of Mathematics and Computer Science Quanzhou Normal University Quanzhou China

In this work, we revisit the classical Holling type II three species food chain model from a different viewpoint. Two critical parameters λ1 and λ2 dependent on all parameters are defined. The existence and local stabilities of all equilibria can be reformulated by λ1 and λ2, and the complete classifications of parameters and its corresponding dynamics are given. Moreover, with the extinction of top-predator, there is an invariant two dimensional subsystem containing the prey and the intermediate predator. We prove the global stability of the boundary equilibrium in 3+ by differential inequality as well as Butler-McGehee lemma if it is stable. Alternatively, there is a unique limit cycle when the boundary equilibrium lost its stability, and we also show the global stability of the limit cycle in 3+ by differential inequality and computing the Floquet Multipliers. Finally, some interesting numerical simulations, the chaotic and the bi-stability phenomena, are presented numerically. A brief discussion and biological implications are also *** Codes 92D25 Copyright © 2021, The Authors. All rights reserved.

关键词： Stability

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Dynamic analysis of high-dimensional fractional-order gene regulation networks with time delay

Dynamic analysis of high-dimensional fractional-order gene r...

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第三十九届中国控制会议

作者： Zhe Zhang Can Ding Jing Zhang Feng Liu Yingjie Zhang FanyongCheng College of Electrical and Information Engineering Hunan University School of Automation China University of Geosciences College of Computer Science and Electronic Engineering Hunan University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University

This paper mainly analyzes the stability of high-dimensional fractional-order gene regulatory network systems with time *** on the judgment of eigenvalues,this paper proposes sufficient information about the stability of high-dimensional fractional-order gene regulatory network systems with time ***,and by analyzing the characteristic equations,the bifurcation conditions of the high-dimensional fractional-order gene regulatory network system with time delay are ***,the theoretical part of this paper is verified by numerical simulation.

关键词： Gene regulatory network system Stability analysis Dynamic analysis Time delay

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A data clustering strategy for enhancing mutual privacy in healthcare system of IoT

A data clustering strategy for enhancing mutual privacy in h...

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2019 IEEE International Conferences on Ubiquitous Computing and Communications and Data Science and Computational Intelligence and Smart Computing, Networking and Services, IUCC/DSCI/SmartCNS 2019

作者： Guo, Xuancheng Lin, Hui Xu, Chuanfeng Lin, Wenzhong School of Mathematics and Computer Science Fujian Normal University Fuzhou China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China

ISBN: (纸本)9781728152097

Recent advances in the healthcare system of Internet of Things (IoT) has led to a generation of a large amount of physic sensor data. Data analyst collects and analyzes these sensor data through wireless sensor network, so as to provide some treatment advices to physicians and patients. As a common data mining method, the k-means clustering algorithm is being applied to process large-scale sensor data. However, it also poses a threat of privacy leakage in the specific application process. To enhance the privacy in healthcare system of IoT, mutual privacypreserving k-means strategy (M-PPKS) based on homomorphic encryption is proposed in this paper, which neither discloses an individual's private information nor leaks the cluster center's characteristic data. An extension performance evaluation shows that, in the case of ensuring accurate clustering results, even if the analyst and individuals collude, the M-PPKS can prevent the disclosure of private information. © 2019 IEEE.

关键词： Internet of things

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Attack intent analysis method based on attack path graph 9

Attack intent analysis method based on attack path graph

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9th International Conference on Communication and Network Security, ICCNS 2019

作者： Chen, Biqiong Liu, Yanhua Li, Shijin Gao, Xiaoling College of Mathematics and Computer Science Fuzhou University Fuzhou Fujian China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou Fujian China

ISBN: (纸本)9781450376624

With the rapid development of network technology, network security problems are gradually increasing, and the network attack situation is very severe. In a complex attack scenario, timely detection of potential attack behaviors and timely identification and pre-judgment of attack intentions are important components of security risks. However, the attack behavior in the network presents complexity, multi-step and uncertainty, which brings new technical challenges to attack intent analysis. Aiming at the problem that the attack intention of multi-step complex attack is difficult to identify, this paper proposes an attack intention analysis method based on attack path graph. Firstly, aiming at the multi-step complex attack behavior analysis problem, the key asset assessment technology is used to find out the key assets in the network system, and the hypothetical attack intention is generated according to the security protection requirements of the network system. Then, it is difficult to manually construct the attack path map in the large-scale network, and the automatic generation of the attack path map is realized. Finally, a method of network attack intent identification is proposed and a calculation method of attack intent probability is designed, which improves the efficiency and accuracy of attack intent recognition. © 2019 Association for Computing Machinery.

关键词： Uncertainty analysis

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A comprehensive assessment method of asset importance for key asset protection 9

A comprehensive assessment method of asset importance for ke...

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9th International Conference on Communication and Network Security, ICCNS 2019

作者： Gao, Xiaoling Liu, Yanhua Qiu, Yanbin Liu, Huajun College of Mathematics and Computer Science Fuzhou University Fuzhou Fujian China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou Fujian China

ISBN: (纸本)9781450376624

In a given system network, an important prerequisite for security risk control is how to accurately calculate the impact of different host assets in the topology on the spread of attack risk. In this regard, we propose a comprehensive asset importance assessment model for critical asset protection. First, the importance of local static assets in the topology was evaluated using three methods: degree centrality, mediation centrality, and closeness centrality. At the same time, PageRank was used to assess the importance of local dynamic assets for asset level changes. By combining the above two methods, and using K-CORE to evaluate the core position of the host in the network topology as the global weight indicator of the importance of assets. The comprehensive evaluation results of the importance of topology-oriented assets was finally obtained, and the validity of the model was verified through the experiment of the simulation ER random network. © 2019 Association for Computing Machinery.

关键词： Network topology

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A Comprehensive Assessment Method of Asset Importance for key Asset Protection 2019

A Comprehensive Assessment Method of Asset Importance for Ke...

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Proceedings of the 2019 the 9th International Conference on Communication and Network Security

作者： Xiaoling Gao Yanhua Liu Yanbin Qiu Huajun Liu College of Mathematics and Computer Science Fuzhou University Fuzhou Fujian China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou Fujian China

ISBN: (纸本)9781450376624

关键词： Centrality PageRank Asset importance key asset protection K-CORE

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