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Analysis of radiation diffusion of COVID-19 driven by social attributes

Chinese Physics B 2024年第1期33卷 773-779页

作者：年福忠杨晓晨师亚勇 Lanzhou University of Technology School of Computer&CommunicationLanzhou 730050China University of Science and Technology Beijing School of Computer&Communication EngineeringBeijing 100083China

This paper first estimated the infectious capacity of COVID-19 based on the time series evolution data of confirmed cases in multiple countries. Then, a method to infer the cross-regional spread speed of COVID-19 was introduced in this paper, which took the gross domestic product(GDP) of each region as one of the factors that affect the spread speed of COVID-19 and studied the relationship between the GDP and the infection density of each region(China's Mainland, the United States, and EU countries). In addition, the geographic distance between regions was also considered in this method and the effect of geographic distance on the spread speed of COVID-19 was studied. Studies have shown that the probability of mutual infection of these two regions decreases with increasing geographic distance. Therefore, this paper proposed an epidemic disease spread index based on GDP and geographic distance to quantify the spread speed of COVID-19 in a region. The analysis results showed a strong correlation between the epidemic disease spread index in a region and the number of confirmed cases. This finding provides reasonable suggestions for the control of epidemics. Strengthening the control measures in regions with higher epidemic disease spread index can effectively control the spread of epidemics.

关键词： COVID-19 basic reproduction number gross domestic product(GDP) geographic distance cross-regional spread

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Influence analysis of calculated horizontally layered soil parameters on grounding parameters

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High Voltage 2023年第2期8卷 421-430页

作者： Yihua Dan Junjun Yin Jian Yang Huizhang Yang Department of Electronic Engineering Tsinghua UniversityBeijingChina School of Computer&Communication Engineering University of Science and Technology BeijingBeijingChina

Calculated parameters(soil layer resistivity,soil layer thickness,and the number of soil layers)of horizontally layered soil are usually obtained based on the measured apparent resistivity under different measurement distances,which are significant for the design,operation,and maintenance of grounding *** existing calculation methods of soil parameters are just trying to make the calculation results approach the measurement data,ignoring the relationship among measurement data,the calculated soil parameters,and grounding parameters,which would increase the workload of the *** better balance the distance range of the measurement data and the influence of the calculated horizontally layered soil on grounding parameters,this paper systematically studies the relationship among measured apparent soil resistivity,calculated horizontally layered soil parameters,and grounding *** basic theories of apparent resistivity measurement,soil parameter calculation,and grounding parameter calculation are given,the influence of soil layer thickness on the measured apparent resistivity is studied,and the influence of the calculated soil parameters on the grounding resistance of different grounding models is *** on different scales of grounding grids,the results give a corresponding reference distance range of measured apparent soil ***,this paper can help decrease the workload of soil resistivity measurement during grounding parameters analysis,which has far-reaching engineering significance.

关键词： soil parameters apparent

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Enhancing Security by Using GIFT and ECC Encryption Method in Multi-Tenant Datacenters

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computers, Materials & Continua 2023年第5期75卷 3849-3865页

作者： Jin Wang Ying Liu Shuying Rao R.Simon Sherratt Jinbin Hu School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410004China School of Systems Engineering The University of ReadingRG66AYUK

Data security and user privacy have become crucial elements in multi-tenant data *** traffic types in the multi-tenant data center in the cloud environment have their characteristics and *** the data center network(DCN),short and long flows are sensitive to low latency and high throughput,*** traditional security processing approaches,however,neglect these characteristics and *** paper proposes a fine-grained security enhancement mechanism(SEM)to solve the problem of heterogeneous traffic and reduce the traffic completion time(FCT)of short flows while ensuring the security of multi-tenant traffic ***,for short flows in DCN,the lightweight GIFT encryption method is *** Intra-DCN long flows and Inter-DCN traffic,the asymmetric elliptic curve encryption algorithm(ECC)is *** NS-3 simulation results demonstrate that SEM dramatically reduces the FCT of short flows by 70%compared to several conventional encryption techniques,effectively enhancing the security and anti-attack of traffic transmission between DCNs in cloud computing ***,SEM performs better than other encryption methods under high load and in largescale cloud environments.

关键词： Multi-tenant datacenter user privacy transmission security GIFT ECC

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Unsupervised Log Anomaly Detection Method Based on Multi-Feature

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computers, Materials & Continua 2023年第7期76卷 517-541页

作者： Shiming He Tuo Deng Bowen Chen R.Simon Sherratt Jin Wang School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China School of Systems Engineering The University of ReadingRG66AYUK

Log anomaly detection is an important paradigm for system *** log anomaly detection based on Long Short-Term Memory(LSTM)networks is time-consuming to handle long *** model is introduced to promote ***,most existing Transformer-based log anomaly detection methods convert unstructured log messages into structured templates by log parsing,which introduces parsing *** only extract simple semantic feature,which ignores other features,and are generally supervised,relying on the amount of labeled *** overcome the limitations of existing methods,this paper proposes a novel unsupervised log anomaly detection method based on multi-feature(UMFLog).UMFLog includes two sub-models to consider two kinds of features:semantic feature and statistical feature,*** applies the log original content with detailed parameters instead of templates or template IDs to avoid log parsing *** the first sub-model,UMFLog uses Bidirectional Encoder Representations from Transformers(BERT)instead of random initialization to extract effective semantic feature,and an unsupervised hypersphere-based Transformer model to learn compact log sequence representations and obtain anomaly *** the second sub-model,UMFLog exploits a statistical feature-based Variational Autoencoder(VAE)about word occurrence times to identify the final anomaly from anomaly *** experiments and evaluations are conducted on three real public log *** results show that UMFLog significantly improves F1-scores compared to the state-of-the-art(SOTA)methods because of the multi-feature.

关键词： System log anomaly detection semantic features statistical features Transformer

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Congestion Control Using In-Network Telemetry for Lossless Datacenters

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computers, Materials & Continua 2023年第4期75卷 1195-1212页

作者： Jin Wang Dongzhi Yuan Wangqing Luo Shuying Rao R.Simon Sherratt Jinbin Hu School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410004China School of Systems Engineering The University of ReadingReadingRG66AYUK

In the Ethernet lossless Data Center Networks (DCNs) deployedwith Priority-based Flow Control (PFC), the head-of-line blocking problemis still difficult to prevent due to PFC triggering under burst trafficscenarios even with the existing congestion control solutions. To addressthe head-of-line blocking problem of PFC, we propose a new congestioncontrol mechanism. The key point of Congestion Control Using In-NetworkTelemetry for Lossless Datacenters (ICC) is to use In-Network Telemetry(INT) technology to obtain comprehensive congestion information, which isthen fed back to the sender to adjust the sending rate timely and *** is possible to control congestion in time, converge to the target rate quickly,and maintain a near-zero queue length at the switch when using ICC. Weconducted Network Simulator-3 (NS-3) simulation experiments to test theICC’s performance. When compared to Congestion Control for Large-ScaleRDMA Deployments (DCQCN), TIMELY: RTT-based Congestion Controlfor the Datacenter (TIMELY), and Re-architecting Congestion Managementin Lossless Ethernet (PCN), ICC effectively reduces PFC pause messages andFlow Completion Time (FCT) by 47%, 56%, 34%, and 15.3×, 14.8×, and11.2×, respectively.

关键词： Data center lossless networks congestion control head of line blocking in-network telemetry

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Adversarial Learning for Distant Supervised Relation Extraction

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computers, Materials & Continua 2018年第4期55卷 121-136页

作者： Daojian Zeng Yuan Dai Feng Li R.Simon Sherratt Jin Wang Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation School of Computer&Communication EngineeringChangsha University of Science&TechnologyChangsha410114P.R.China Department of Biomedical Engineering University of ReadingUK. School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114P.R.China.

Recently,many researchers have concentrated on using neural networks to learn features for Distant Supervised Relation Extraction(DSRE).These approaches generally use a softmax classifier with cross-entropy loss,which inevitably brings the noise of artificial class NA into classification *** address the shortcoming,the classifier with ranking loss is employed to *** randomly selecting a relation or heuristically selecting the highest score among all incorrect relations are two common methods for generating a negative class in the ranking loss ***,the majority of the generated negative class can be easily discriminated from positive class and will contribute little towards the *** by Generative Adversarial Networks(GANs),we use a neural network as the negative class generator to assist the training of our desired model,which acts as the discriminator in *** the alternating optimization of generator and discriminator,the generator is learning to produce more and more discriminable negative classes and the discriminator has to become better as *** framework is independent of the concrete form of generator and *** this paper,we use a two layers fully-connected neural network as the generator and the Piecewise Convolutional Neural Networks(PCNNs)as the *** results show that our proposed GAN-based method is effective and performs better than state-of-the-art methods.

关键词： Relation extraction generative adversarial networks distant supervision piecewise convolutional neural networks pair-wise ranking loss

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Degradation modeling of degradable copolymers for biomimetic scaffolds

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Friction 2020年第3期8卷 594-603页

作者： Taohong ZHANG Yue GAO Lingling ZHU Qingfeng ZENG Ming ZHOU Computer Department School of Computer&Communication EngineeringUniversity of Science and Technology Beijing(USTB)Beijing 100083China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing 100083China State Key Laboratory of Tribology School of Mechanical EngineeringTsinghua UniversityBeijing 100084China

Biomimetic scaffolds provide a suitable growth environment for tissue engineering and demonstrate good potential for application in biomedical ***-sized copolymerized biomimetic scaffolds degrade differently,and the degradation rate is affected by the copolymerization *** study of the degradation property is the foundational research necessary for realizing individualized biomimetic scaffold *** degradation performance of polyesters with different copolymerization ratios has been widely reported;however,the modeling of this performance has been rarely *** this research,the degradation of copolymers was studied with multi-scale modeling,in which the copolymers were dispersed in a cellular manner,the chain break time was simulated,and the chain selection was based on the Monte Carlo(MC)*** probability model of the copolymer's chain break position was established as a//roulette,/model,whose probability values were estimated by the calculation of the potential energy difference at different chain break positions by molecular dynamics that determined the position of chain shear,thereby fully realizing the simulation of the chain micro-break *** diffusion of the oligomers was then calculated using the macro diffusion equation,and the degradation process of the copolymer was simulated by three-scale coupling *** calculation results were in good agreement with the experimental data,demonstrating the effectiveness of the proposed method.

关键词： copolymer for biomimetic scaffolds copolymerization ratio degradation modeling multi-scale model probability model for chain break location

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New instant confirmation mechanism based on interactive incontestable signature in consortium blockchain

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Frontiers of computer Science 2019年第6期13卷 1182-1197页

作者： Yan ZHU Khaled RIAD Ruiqi GUO Guohua GAN Rongquan FENG School of Computer&Communication Engineering University of Science and Technology BeijingBeijing 100083China Mathematics Department Faculty of ScienceZagazig UniversityZagazig 44519Egypt School of Mathematical Sciences Peking UniversityBeijing 100871China

The blockchain is a radical innovation that has a considerable effect on payments,stock exchanges,cybersecurity,and computational ***,its limitations in terms of the uncertainty involved in transaction confirmation are *** this paper,we describe the design of a decentralized voting protocol for the election of a block generator in a consortium blockchain and propose a new system framework that allows fast and exact confirmation of all *** addition,to replace a transaction’s owner signature,a new interactive incontestable signature between the dealer and owner is used to confirm a *** means of this signature,the dealer can assure the owner that a transaction will be permanently included in the blockchain in a non-repudiation ***,the signatures of all transactions in a block share only one witness that provides membership proof between the block and these ***,a security and performance analysis shows that the proposed schemes are provably secure and highly efficient.

关键词： security blockchain signature consortium interactive proof

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Semi-Supervised Learning with Generative Adversarial Networks on Digital Signal Modulation Classification

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computers, Materials & Continua 2018年第5期55卷 243-254页

作者： Ya Tu Yun Lin Jin Wang Jeong-Uk Kim College of Information and Communication Engineering Harbin Engineering UniversityHarbin 150001China School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha 410114China School of Information Engineering Yangzhou UniversityYangzhou 225009China Department of Energy Grid Sangmyung UniversitySeoulKorea

Deep Learning(DL)is such a powerful tool that we have seen tremendous success in areas such as computer Vision,Speech Recognition,and Natural Language *** Automated Modulation Classification(AMC)is an important part in Cognitive Radio Networks,we try to explore its potential in solving signal modulation recognition *** cannot be overlooked that DL model is a complex model,thus making them prone to *** model requires many training data to combat with over-fitting,but adding high quality labels to training data manually is not always cheap and accessible,especially in real-time system,which may counter unprecedented data in ***-supervised Learning is a way to exploit unlabeled data effectively to reduce over-fitting in *** this paper,we extend Generative Adversarial Networks(GANs)to the semi-supervised learning will show it is a method can be used to create a more dataefficient classifier.

关键词： Deep Learning automated modulation classification semi-supervised learning generative adversarial networks

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A PSO based Energy Efficient Coverage Control Algorithm for Wireless Sensor Networks

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computers, Materials & Continua 2018年第9期56卷 433-446页

作者： Jin Wang Chunwei Ju Yu Gao Arun Kumar Sangaiah Gwang-jun Kim School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China School of Information Engineering Yangzhou UniversityYangzhou225009China School of Computing Science and Engineering Vellore Institute of TechnologyVellore632014India Department of Computer Engineering Chonnam National UniversityGwangju61186Korea

Wireless Sensor Networks(WSNs)are large-scale and high-density networks that typically have coverage area *** addition,a random deployment of sensor nodes cannot fully guarantee coverage of the sensing area,which leads to coverage holes in ***,coverage control plays an important role in *** alleviate unnecessary energy wastage and improve network performance,we consider both energy efficiency and coverage rate for *** this paper,we present a novel coverage control algorithm based on Particle Swarm Optimization(PSO).Firstly,the sensor nodes are randomly deployed in a target area and remain static after ***,the whole network is partitioned into grids,and we calculate each grid’s coverage rate and energy ***,each sensor nodes’sensing radius is adjusted according to the coverage rate and energy consumption of each *** results show that our algorithm can effectively improve coverage rate and reduce energy consumption.

关键词： Particle swarm optimization coverage control energy efficiency wireless sensor networks

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