检索结果-南通市图书馆

Effects of Strong Turbulence on the Spiral Plane Mode of Whittaker-Gaussian Beam through Terrene-Atmosphere

在线全文

学校读者我要写书评

暂无评论

Chinese Physics Letters 2016年第5期33卷 50-53页

作者：李烨张逸新 school of Science Jiangnan University school of internet of Things Jiangnan University

The analytic formulae of probability distribution of spiral plane modes for the Whittaker-Gaussian （WG） beams with orbital angular momentum （OAM） in strong turbulence regime are modeled based on the modified Rytov approximation. Numerical results show that the erosstalk range of OAM modes in the vicinity of signal mode increases with the increasing refractive-index construction parameter. However, effects of change of the width of the Gaussian envelope and the parameter Wo of WG beams on normalization energy weight of signal mode can be ignored. We find theoretically that signal spiral plane mode of WG beams at each OAM level approximatively has the same normalization energy weight, implying that the channels with WG （pseudo non-diffraction） beam have higher channel capacity than the channels with the Laguerre-Gaussian beam.

关键词： OAM mode in of Effects of Strong Turbulence on the Spiral Plane Mode of Whittaker-Gaussian Beam through Terrene-Atmosphere on

Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2022年第12期31卷 719-725页

作者： Zhi-Hai Wu Lin-Bo Xie Engineering Research Center of internet of Things Technology Applications of MOE School of Internet of Things EngineeringJiangnan UniversityWuxi 214122China

This paper investigates fault-tolerant finite-time dynamical consensus problems of double-integrator multi-agent systems(MASs)with partial agents subject to synchronous self-sensing function failure(SSFF).A strategy of recovering the connectivity of network topology among normal agents based on multi-hop communication and a fault-tolerant finitetime dynamical consensus protocol with time-varying gains are proposed to resist synchronous *** is proved that double-integrator MASs with partial agents subject to synchronous SSFF using the proposed strategy of network topology connectivity recovery and fault-tolerant finite-time dynamical consensus protocol with the proper time-varying gains can achieve finite-time dynamical *** simulations are given to illustrate the effectiveness of the theoretical results.

关键词： multi-agent systems synchronous self-sensing function failure finite-time dynamical consensus network topology connectivity recovery

Stochastic gradient algorithm for a dual-rate Box-Jenkins model based on auxiliary model and FIR model

在线全文

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science C(Computers and Electronics) 2014年第2期15卷 147-152页

作者： Jing CHEN Rui-feng DING school of Science Jiangnan University school of internet of Things Engineering Jiangnan University

Based on the work in Ding and Ding(2008),we develop a modifed stochastic gradient(SG)parameter estimation algorithm for a dual-rate Box-Jenkins model by using an auxiliary *** simplify the complex dual-rate Box-Jenkins model to two fnite impulse response(FIR)models,present an auxiliary model to estimate the missing outputs and the unknown noise variables,and compute all the unknown parameters of the system with colored *** results indicate that the proposed method is efective.

关键词： Parameter estimation Auxiliary model Dual-rate system Stochastic gradient Box-Jenkins model FIR model

CCI-based link quality estimation mechanism for wireless sensor networks under non-perceived packet loss

在线全文

学校读者我要写书评

暂无评论

The Journal of China Universities of Posts and Telecommunications 2013年第1期20卷 1-10页

作者： SHU Jian TAO Juan LIU Lin-lan CHEN Ye-bin ZANG Chao internet of Things Technology Institute school of Software Nanchang Hangkong University internet of Things Technology Institute school of Information Engineering Nanchang Hangkong University

This paper proposes a chip correlation indicator （CCI）-based link quality estimation mechanism for wireless sensor networks under non-perceived packet loss. On the basis of analyzing all related factors, it can be concluded that signal-to-noise rate （SNR） is the main factor causing the non-perceived packet loss. In this paper, the relationship model between CCI and non-perceived packet loss rate （NPLR） is established from related models such as SNR versus packet success rate （PSR）, CCI versus SNR and CCI-NPLR. Due to the large fluctuating range of the raw CCI, Kalman filter is introduced to do de-noising of the raw CCI. The cubic model and the least squares method are employed to fit the relationship between CCI and SNR. In the experiments, many groups of comparison have been conducted and the results show that the proposed mechanism can achieve more accurate measurement of the non-perceived packet loss than existing approaches. Moreover, it has the advantage of decreasing extra energy consumption caused by sending large number of probe packets.

关键词： wireless sensor network link quality estimation non-perceived packet loss CCI SNR Kalman filter

Phase Locking of Laser Diode Array by Using an Off-Axis External Talbot Cavity

在线全文

学校读者我要写书评

暂无评论

Chinese Physics Letters 2012年第5期29卷 133-135页

作者： SU Zhou-Ping JI Zhi-Cheng ZHU Zhuo-Wei QUE Li-Zhi ZHU Yun school of Science Jiangnan UniversityWuxi 214122 school of internet of Things Engineering Jiangnan UniversityWuxi 214122

Phase locking of a laser diode array is demonstrated experimentally by using an off-axis external Talbot cavity with a feedback plane *** to good spatial mode discrimination,the cavity does not need a spatial *** employing the cavity,a clear and stable far-field interference pattern can be observed when the driver current is less than *** addition,the spectral line width can be reduced to 0.8nm. The slope efficiency of the phase-locked laser diode array is about 0.62 W/A.

关键词： Talbot cavity Phase

A multi-resource scheduling scheme of Kubernetes for IIoT

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Systems Engineering and Electronics 2022年第3期33卷 683-692页

作者： ZHU Lin LI Junjiang LIU Zijie ZHANG Dengyin Jiangsu Key Laboratory of Broadband Wireless Communication and internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China school of internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China

With the rapid development of data applications in the scene of Industrial internet of Things(IIoT),how to schedule resources in IIoT environment has become an urgent problem to be *** to benefit of its strong scalability and compatibility,Kubernetes has been applied to resource scheduling in IIoT ***,the limited types of resources,the default scheduling scoring strategy,and the lack of delay control module limit its resource scheduling *** address these problems,this paper proposes a multi-resource scheduling(MRS)scheme of Kubernetes for *** MRS scheme dynamically balances resource utilization by taking both requirements of tasks and the current system state into ***,the experiments demonstrate the effectiveness of the MRS scheme in terms of delay control and resource utilization.

关键词： Industrial internet of Things(IIoT) Kubernetes resource scheduling time delay

A compatible carbon efficiency information service framework based on the industrial internet identification

在线全文

学校读者我要写书评

暂无评论

Digital Communications and Networks 2024年第4期10卷 884-894页

作者： Cheng Chi Yang Liu Baoluo Ma Senchun Chai Puning Zhang Zihang Yin school of Automation Beijing Institute of TechnologyBeijing100000China Institute of Industrial internet and internet of Things China Academy of Information and Communications TechnologyBeijing100191China school of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China

Green and low-carbon is a new development model that seeks balance between environmental sustainability and high economic *** explainable and available carbon emission data can be accurately obtained,it will help policy regulators and enterprise managers to more accurately implement this development strategy.A lot of research has been carried out,but it is still a difficult problem that how to accommodate and adapt the complex carbon emission data computing models and factor libraries developed by different regions,different industries and different ***,with the rapid development of the Industrial internet,it has not only been used for the supply chain optimization and intelligent scheduling of the manufacturing industry,but also been used by more and more industries as an important way of digital *** in China,the Industrial internet identification and resolution system is becoming an important digital infrastructure to uniquely identify objects and share ***,a compatible carbon efficiency information service framework based on the Industrial internet Identification is proposed in this paper to address the problem of computing and querying multi-source heterogeneous carbon emission *** have defined a multi cooperation carbon emission data interaction model consisting of three roles and three basic ***,the implementation of the framework includes carbon emission data identification,modeling,calculation,query and *** practice results show that its capability and effectiveness in improving the responsiveness,accuracy,and credibility of compatible carbon efficiency data query and sharing services.

关键词： Industrial internet Identification and resolution Carbon emission data Carbon efficiency evaluation Carbon footprint tracking

Research on Link Quality Estimation Mechanism for Wireless Sensor Networks Based on Support Vector Machine

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2017年第2期26卷 377-384页

作者： SHU Jian LIU Song LIU Linlan ZHAN Liqin HU Gang internet of Things Technology Institute Nanchang Hangkong University school of Software Nanchang Hangkong University school of Information Engineering Nanchang Hangkong University

In the application of Wireless sensor networks(WSNs),effective estimation for link quality is a basic issue in guarantying reliable data transmission and upper network protocol performance.A link quality estimation mechanism is proposed,which is based on Support vector machine(SVM) with multi-class *** the analysis of the wireless link characteristics,two physical parameters of communication,Receive signal strength indicator(RSSI) and Link quality indicator(LQI),are chosen as estimation *** link quality is divided into five levels according to Packet reception rate(PRR).A link quality estimation model based on SVM with decision tree is *** model is built on kernel functions of radial basis and polynomial respectively,in which RSSI,LQI are the input *** experimental results show that the model is *** with the recent published link quality estimation models,our model can estimate the current link quality accurately with a relative small number of probe packets,so that it costs less energy consumption than the one caused by sending a large number of probe *** this model which is high efficiency and energy saving can prolong the network life.

关键词： Wireless sensor networks(WSNs) Link quality estimation Support vector machine(SVM)

FlowGANAnomaly: Flow-Based Anomaly Network Intrusion Detection with Adversarial Learning

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2024年第1期33卷 58-71页

作者： Zeyi LI Pan WANG Zixuan WANG school of Computer Science Nanjing University of Posts and Telecommunications school of Modern Posts Nanjing University of Posts and Telecommunications school of internet of Things Nanjing University of Posts and Telecommunications

In recent years, low recall rates and high dependencies on data labelling have become the biggest obstacle to developing deep anomaly detection(DAD) techniques. Inspired by the success of generative adversarial networks(GANs) in detecting anomalies in computer vision and imaging, we propose an anomaly detection model called Flow GANAnomaly for detecting anomalous traffic in network intrusion detection systems(NIDS). Unlike traditional GAN-based approaches, which are composed of a flow encoder, a convolutional encoder-decoder-encoder, a flow decoder and a convolutional encoder, the architecture of this model consists of a generator(G) and a discriminator(D).Flow GANAnomaly maps the different types of traffic feature data from separate datasets to a uniform feature space,thus can capture the normality of network traffic data more accurately in an adversarial manner to mitigate the problem of the high dependence on data labeling. Moreover, instead of simply detecting the anomalies by the output of D, we proposed a new anomaly scoring method that integrates the deviation between the output of two Gs’ convolutional encoders with the output of D as weighted scores to improve the low recall rate of anomaly detection. We conducted several experiments comparing existing machine learning algorithms and existing deep learning methods(Auto Encoder and VAE) on four public datasets(NSL-KDD, CIC-IDS2017, CIC-DDo S2019, and UNSW-NB15). The evaluation results show that Flow GANAnomaly can significantly improve the performance of anomaly-based NIDS.

关键词： Deep learning Machine learning algorithms Computational modeling Network intrusion detection Imaging Telecommunication traffic Generative adversarial networks