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IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING 2024年 10卷 1016-1025页

作者： Gualdron-Hurtado, Romario Arguello, Henry Bacca, Jorge Univ Ind Santander Dept Comp Sci Bucaramanga 680002 Colombia

Coded aperture snapshot spectral imager (CASSI), efficiently captures 3D spectral images by sensing 2D projections of the scene. While CASSI offers a substantial reduction in acquisition time, compared to traditional scanning optical systems, it requires a reconstruction post-processing step. Furthermore, to obtain high-quality reconstructions, an accurate propagation model is required. Notably, CASSI exhibits a variant spatio-spectral sensor response, making it difficult to acquire an accurate propagation model. To address these inherent limitations, this work proposes to learn a deep non-linear fully differentiable propagation model that can be used as a regularizer within an optimization-based reconstruction algorithm. The proposed approach trains the non-linear spatially-variant propagation model using paired compressed measurements and spectral images, by employing side information only in the calibration step. From the deep propagation model incorporation into a plug-and-play alternating direction method of multipliers framework, our proposed method outperforms traditional CASSI linear-based models. Extensive simulations and a testbed implementation validate the efficacy of the proposed methodology.

关键词： Spectral image reconstruction coded aperture snapshot spectral imaging propagation model calibration deep learning regularizer Spectral image reconstruction coded aperture snapshot spectral imaging propagation model calibration deep learning regularizer

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A Derivative Topic propagation model Based on Multidimensional Cognition and Game Theory

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IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS 2025年第1期17卷 189-204页

作者： Li, Qian Gao, Long Xi, Wenyi Li, Tun Wang, Rong Ge, Junwei Xiao, Yunpeng Chongqing Univ Posts & Telecommun Sch Software Engn Chongqing 400065 Peoples R China

Given that emotional content spreads more widely than rational content in social networks, as well as the complexity of user cognition and the interaction of derivative topics, this article proposes a derivative topic dissemination model that integrates multidimensional cognition and game theory. First, regarding the issue of user emotional reactions in mining topics. In this article, we quantify the affective influence among users by considering user behaviors as continuous conversations through conversation-level sentiment analysis and the proximity centrality of social networks. Second, considering that user behavior is influenced by multidimensional cognition, this article proposes a method based on S(Sensibility) R(Rationality) 2vec to simulate the dialectical relationship between sensibility and rationality in the user decision-making process. Finally, considering the cooperative and competitive relationship among derived topics, this article uses evolutionary game theory to analyze the topic life cycle and quantify its impact on user behavior by time discretization method. Accordingly, we propose a CG-back-propagation (BP) model incorporating a BP neural network to efficiently simulate the nonlinear relationship of user behavior. Experiments show that the model can not only effectively tap the influence of multidimensional cognition on users' retweeting behavior, but also effectively perceive the propagation dynamics of derived topics.

关键词： Cognition Social networking (online) Game theory Analytical models Emotional responses Sentiment analysis Mathematical models Derivative topic game theory multidimensional cognition propagation model

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Analysis and numerical simulation of computer virus propagation model based on limited resources

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MATHEMATICS AND COMPUTERS IN SIMULATION 2024年 223卷 494-508页

作者： Yang, Wenbin Li, Danqing Chang, Xin Xian Univ Posts & Telecommun Sch Sci Xian 710121 Peoples R China Xian Univ Posts & Telecommun Sch Comp Sci & Technol Xian 710121 Peoples R China

Computer viruses present a substantial threat to our daily lives. Traditional models for the propagation of computer viruses primarily concentrate on network structures. In this paper, we take into account the constrained availability of resources in the context of computer virus prevention and control. We introduce a computer virus propagation model based on resource limitations. By examining the stability of both toxic and non-toxic equilibria within the model, we employ Matlab and Python for numerical analysis to simulate various computer virus propagation scenarios. Additionally, we present corresponding defense mechanisms for combatting these viruses.

关键词： Computer virus propagation model Stability analysis

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Enhanced propagation model constrained RSS fingerprints patching with map assistance for Wi-Fi positioning✩

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COMPUTER COMMUNICATIONS 2023年第1期208卷 200-209页

作者： Xu, Xueting Zhang, Chenxin Peng, Ao Xiamen Univ Natl Joint Engn Ctr Nav & Locat Based Serv Technol Xiamen Peoples R China Xian Jiaotong Liverpool Univ Sch AI & Adv Comp Suzhou Peoples R China Xiamen Univ Sch Informat Xiamen Peoples R China

Wi-Fi fingerprint-based positioning is widely used caused by its low cost and ease of implementation when Global Positioning System technology struggles to obtain signal and accuracy in indoor environments. A prerequisite for Wi-Fi fingerprint-based positioning is the availability of an accurate fingerprint database. However, in practice, access to a large proportion of the area is restricted, leading to a rapid degradation of the positioning accuracy of existing interpolation techniques in the absence of reference data in the vicinity of the area. In this paper, we propose an enhanced propagation model constrained fingerprint patching algorithm for incomplete RSS fingerprint databases, aiming to extend the coverage of fingerprints and reduce the overall workload of survey. The algorithm integrates a map-assisted wireless signal propagation models with incomplete spatially sampled fingerprint data to construct a propagation model for each Wi-Fi access point (AP). Recalculate the received signal strength at each reference point for each AP in the fingerprint database according to the specific model. The fingerprint information for the unrecorded regions is then refined by interpolation and the fingerprints initially collected are optimized. We experimentally validate the effectiveness of the proposed interpolation algorithm and compare it with the conventional Support Vector Regression (SVR), Gaussian Process Regression (GPR), and rational quadratic kernel (RQK) methods. The results show that the positioning performance of proposed method is improved by 18.1%, 23.1% and 39.7% in the blank area relative to RQK, GPR and SVR, respectively. In addition, our method outperforms other algorithms with stable performance in different scenarios, especially in scenarios containing obstacle walls, and the performance benefit appears more notable in the complicated indoor scenario with cramped rooms.

关键词： Indoor positioning propagation model Spatial interpolation WiFi fingerprint

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A Survey and analysis on a troposcatter propagation model based on ITU-R recommendations

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ICT EXPRESS 2023年第3期9卷 507-516页

作者： Lee, In-Seok Noh, Jung-Hoon Oh, Seong-Jun Korea Univ Dept Comp Sci & Engn Seoul South Korea Kumoh Natl Inst Technol Elect Engn Gumi South Korea Korea Univ Grad Sch Informat Secur Seoul South Korea

Signal scattering in the troposphere is a phenomenon referred to as "troposcatter", and it is promising method for wireless communication beyond the line of sight (b-LOS). For a troposcatter communication system, it is important to develop a channel model for the tropospheric scatter. Recently, b-LOS communication using troposcatter received much attention for its application to military communication. Thus, a comprehensive review and analysis of conventional ITU-R troposcatter propagation models and recent results would be a timely study. Accordingly, in this study, we analyze and simulate the tropospheric scatter propagation model proposed by the ITU-R. Troposcatter propagation models in ITU-R recommendations consist of three parts: basic transmission loss, gaseous absorption, and a precipitation fading model. The ITU-R P.2001 simulation model shows basic transmission losses of 210 dB and 240 dB at 0.2 GHz and 2 GHz in 300 km distances, respectively. The ITU-R P.452 model results in 20 dB less loss, but this is dependent on measurement conditions. Gaseous absorption and precipitation fading have less than 1 dB loss for frequencies less than 2 GHz, but can increase to be over 10 dB in loss for frequencies of 2 GHz and above. We also review recent studies on tropospheric scatter channel models and communication systems. In addition to these reviews, we examine recent studies on ray tracing methods for tropospheric scatter channel models.& COPY;2022 The Author(s). Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： Troposcatter Communication propagation model Transmission loss prediction

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An industrial virus propagation model based on SCADA system

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INFORMATION SCIENCES 2023年第1期630卷 546-566页

作者： Zhu, Qingyi Zhang, Gang Luo, Xuhang Gan, Chenquan Chongqing Univ Posts & Telecommun Sch Comp Sci Chongqing 400065 Peoples R China Chongqing Univ Posts & Telecommun Sch Cyber Secur & Informat Law Chongqing 400065 Peoples R China

Supervisory control and data acquisition (SCADA) systems are widely used in the national infrastructure. As more and more SCADA systems have been connected to the Internet, SCADA systems are facing great network security threats, especially attacks from industrial viruses. This paper aims to propose a novel mathematical model of industrial viruses propagation over SCADA systems. Then, the existence and stability of the equilibrium point of this model are studied. To better control the spread of this virus with limited resources, an optimal control system is established for the model. Then, the existence of optimal control is proved, and the corresponding optimal control system is derived. Numerical simulation results show that our proposed control method can effectively control the spread of industrial viruses.

关键词： SCADA system Industrial viruses propagation model Stability analysis Sensitivity analysis Optimal control

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An Analytical propagation model for Diffusion-Based Molecular Communication Systems

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IEEE TRANSACTIONS ON MOLECULAR BIOLOGICAL AND MULTI-SCALE COMMUNICATIONS 2022年第2期8卷 72-81页

作者： Saeed, Musaab Maleki, Mehdi Mohseni, Pedram Bahrami, Hamid Reza Univ Akron Dept Elect & Comp Engn Akron OH 44325 USA Case Western Reserve Univ Dept Elect Comp & Syst Engn Cleveland OH 44106 USA

A novel analytical propagation model for diffusive molecular communication systems in a three-dimensional fluid environment is derived. The model takes into account the geometry of a spherical receiver, the inclination angle, and the reaction rate of the receiver to accurately model the time-varying distribution and the number of absorbed information molecules at the receiver over a period of time. Accordingly, we derive an expression for the net number of accumulatively-absorbed information molecules at the surface of the receiver. We also study the bit error rate (BER) performance of diffusion-based molecular communications in the presence of the inter-symbol interference. Simulations based on the developed model show the impact of the transmitter-receiver distance, the reaction rate at the surface of the receiver and the diffusion constant of the environment on the fraction of absorbed molecules and the BER performance. A particle-based simulator is implemented to verify the accuracy of the proposed model. Moreover, our results are compared with that of a conventional model, where the geometry of the receiver and the inclination angle are ignored. It is shown that, especially at small transmitter-receiver separation distances, the proposed model predicts a significantly smaller number of absorbed molecules compared to the conventional models.

关键词： Receivers Transmitters Nanobioscience Molecular communication (telecommunication) Boundary conditions Analytical models Laplace equations Molecular communication propagation model diffusive channel

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A propagation model for package loss refinement in VVC

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ELECTRONICS LETTERS 2022年第20期58卷 759-761页

作者： Im, Sio-Kei Chan, Ka-Hou Macao Polytech Univ Macau Peoples R China Macao Polytech Univ Fac Appl Sci Macau Peoples R China

A propagation model for the CABAC entropy codec for VTM is proposed and analysed in terms of its effective estimation and packing loss. In order to be compatible and implement a next-generation coding framework, the proposed model is designed taking into account the conditions of multiple estimators while minimising the increased complexity caused by the inherent dependencies of CABAC through various optimisations, including contextual forwarding and drop rate configurations. The complete algorithm and description have been briefly introduced. Experiments have shown that inter-modal quality refinement can be achieved up to 1.0 dB improvement in a coded environment.

关键词： contextual forwarding drop rate configurations packing loss video coding next-generation coding framework binary codes package loss refinement effective estimation entropy propagation model VTM inter-modal quality refinement codecs adaptive codes multiple estimators VVC CABAC entropy codec

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A Novel Worm propagation model Considering the Connected State and Trap Mechanism of a Honeypot

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ENGINEERING LETTERS 2022年第4期30卷 1316页

作者： Li, Hanlun Ren, Jianguo Jiangsu Normal Univ Coll Comp Sci Xuzhou Jiangsu Peoples R China Jiangsu Normal Univ Res Ctr Complex Networks & Swarm Intelligence Xuzhou Jiangsu Peoples R China

Internet worms pose a serious threat to network security due to their automated scanning and propagation strategies. In this paper, we first propose a novel network worm attack model of SCEIRS based on worm behavior. A novel connected state is established to represent machines completely compromised by a connection scan but not infected. The connection rate and code delivery rate combined with this new state are introduced. Compared with the previous SEIRS model, the SCEIRS model can reflect the accurate transition behaviors of machines in the target acquisition (scanning a target machine and attempting to establish a connection before actual infection behaviors occur) and code delivery stages (attempting to infect a target machine through the delivery of worm code). Moreover, it provides us with a new perspective for analyzing the key parameters that affect worm propagation and the effect of countermeasures on worm containment. Then, we propose the M-SCEIRS model, which combines both the trap and feedback mechanisms of honeypots on the baseline of the proposed new state. In the M-SCEIRS model, the basic reproduction number, equilibria, and stability are also obtained. Numerical results suggest that countermeasures during the target acquisition and code delivery stages are crucial for mitigating worm propagation in the early stages. Furthermore, the two mechanisms of honeypots combined in the M-SCEIRS model are effective for worm control.

关键词： internet worm propagation model honeypot basic reproduction number state transition

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Construction of SCUIR propagation model Based on Time-Varying Parameters

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JOURNAL OF GLOBAL INFORMATION MANAGEMENT 2022年第10期30卷 1-18页

作者： Li, Feng Sun, Gengxin Qingdao Univ Qingdao Peoples R China

The novel coronavirus is a new type of virus, and its transmission characteristics are different from the previous virus. Based on the SEIR transmission model, this paper redefines the latent state as close contacts state, introduces an asymptomatic infection state, and considers the influence of time on the state transition parameters in the model, proposing a new transmission model. The experimental results show that the fitting accuracy of the model has significantly improved. Compared with the traditional model, the fitting error was reduced by 8.3%-47.6%. Also, this study uses the US epidemic data as the training set to predict the development of the US epidemic, and the forecast results show that the US epidemic cannot be quickly controlled. However, the number of active cases will usher in a rapid decline after August 2021.

关键词： Asymptomatic Infection Close Contact COVID-19 Forecasting propagation model Time-Varying Parameters

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