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DeepPOSE:Detecting GPS spoofing attack via deep recurrent neural network

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Digital Communications and Networks 2022年第5期8卷 791-803页

作者： Peng Jiang Hongyi Wu Chunsheng Xin ece dept.and School of Cybersecurity Old Dominion UniversityNorfolkVA23529USA

The Global Positioning System(GPS)has become a foundation for most location-based services and navigation systems,such as autonomous vehicles,drones,ships,and wearable ***,it is a challenge to verify if the reported geographic locations are valid due to various GPS spoofing *** tools,such as Fake GPS,Lockito,and software-defined radio,enable ordinary users to hijack and report fake GPS coordinates and cheat the monitoring server without being ***,it is also a challenge to get accurate sensor readings on mobile devices because of the high noise level introduced by commercial motion *** this end,we propose DeepPOSE,a deep learning model,to address the noise introduced in sensor readings and detect GPS spoofing attacks on mobile *** design uses a convolutional and recurrent neural network to reduce the noise,to recover a vehicle's real-time trajectory from multiple sensor *** further propose a novel scheme to map the constructed trajectory from sensor readings onto the Google map,to smartly eliminate the accumulation of errors on the trajectory *** reconstructed trajectory from sensors is then used to detect the GPS spoofing *** with the existing method,the proposed approach demonstrates a significantly higher degree of accuracy for detecting GPS spoofing attacks.

关键词： GPS spoofing attack Position estimation Recurrent neural network

Automatic Detection and Classification of Insects Using Hybrid FF-GWO-CNN Algorithm

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Intelligent Automation & Soft Computing 2023年第5期36卷 1881-1898页

作者： B.Divya M.Santhi Department of ece Saranathan College of EngineeringTrichyIndia

Pest detection in agricultural cropﬁelds is the most challenging task,so an effective pest detection technique is required to detect insects *** processing techniques are widely preferred in agricultural science because they offer multiple advantages like maximal crop protection,improved crop man-agement and *** the other hand,developing the automatic pest mon-itoring system dramatically reduces the workforce and *** image processing approaches are limited due to the disadvantages like poor efﬁciency and less ***,a successful image processing technique based on FF-GWO-CNN classiﬁcation algorithm is introduced for effective pest monitor-ing and *** four-step image processing technique begins with image pre-processing,removing the insect image’s noise and sunlight illumination by utilizing an adaptive medianﬁ*** insects’size and shape are identiﬁed using the Expectation Maximization Algorithm(EMA)based clustering technique,which involves not only clustering the data but also uncovering the correlations by visualizing the global shape of an *** up robust feature(SURF)method is employed to select the best possible image ***,the image with best features is classiﬁed by introducing a hybrid FF-GWO-CNN algorithm,which combines the beneﬁts of Fireﬂy(FF),Grey Wolf Optimization(GWO)and Convolutional Neural Network(CNN)classiﬁcation algorithm for enhancing the classiﬁcation *** entire work is executed in MATLAB simulation *** test result reveals that the suggested technique has deliv-ered optimal performance with high accuracy of 97.5%,precision of 94%,recall of 92%and F-score value of 92%.

关键词： Adaptive medianﬁlter EMA SURF FF algorithm GWO CNN

A Reduced Orthogonal Search for Video Coding

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A Reduced Orthogonal Search for Video Coding

Modeling of tunneling current density of GeC based double barrier multiple quantum well resonant tunneling diode

2011 International Conference on Future Information Technology (ICFIT 2011)

作者： G. Josemin Bala S. Immanuel Alex Pandian J. Anitha dept. of ece Karunya University dept. of. ece Karunya University

In many video coding applications, an efficient fast search motion estimation （ME） algorithm is highly desired. In this paper a new reduced orthogonal search （ROS） algorithm is proposed for fast ME. This algorithm is based on the center-biased characteristics of motion vector to speed up the existing orthogonal search. The performance of this algorithm is evaluated with various video sequences and the results are compared to a traditional well-known full search （FS）, three step search （3SS）, orthogonal search （OS）, and diamond search （DS）. This paper introduces a fast inner-search to early terminate the block matching process in order to reduce computational complexity in the existing OS. Experimental results showed ROS gains less search points of 5 to 11 in average than OS and as compared with previous works, it also outperforms FS, 3SS, DS and OS in most cases with regard to image quality. The advantage of proposed motion estimation technique is further justified by experimental results.

关键词： Block Matching Motion Estimation Orthogonal Search Early Termination Video Coding Inner Search

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Journal of Semiconductors 2018年第10期39卷 34-38页

作者： Swagata Dey Vedatrayee Chakraborty Bratati Mukhopadhyay Gopa Sen Institute of Radio Physics and Electronics University of CalcuttaKolkata 700009India B.p.Poddar Institute of Management and Technology(ece dept) Kolkata 700052India

The double barrier quantum well（DBQW） resonant tunneling diode（RTD） structure made of SiGeSn/GeC/SiGeSn alloys grown on Ge substrate is analyzed. The tensile strained Ge（1-z）Cz on Si（1-x-y）GexSny heterostructure provides a direct band gap type I configuration. The transmission coefficient and tunneling current density have been calculated considering single and multiple quantum wells. A comparative study of tunnelling current of the proposed structure is done with the existing RTD structure based on GeSn/SiGeSn DBH. A higher value of the current density for the proposed structure has been obtained.

关键词： DBQW MQW RTD NDR tunneling current density

“Internal” Resistivity and Quantum Efficiency in Organic/hybrid Solar Cells

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“Internal” Resistivity and Quantum Efficiency in Organic/h...

Nonlinear compensation research and simulation of bandlimited QPSK digital satellite channels

2012 3rd International Conference on Applied Mechanics and Mechanical Engineering(ICAMME 2012)

作者： H.L.Kwok dept.of ece and CAMTEC University of Victoria

Quantum efficiency of organic/hybrid solar cells has improved appreciably in recent years and it is useful to re-examine those parameters that reflect the device properties. This is important when there is need to distinguish between improvements associated with materials properties such as domain size and phase separations and improvements linked to external effect such as the inclusion of field enhancement layers. In this work, we reported the evaluation of the "internal" resistivity found in high performance organic/hybrid solar cells based on data reported in the literature. Our observations suggest that in general better device performance is found in devices with higher "internal" resistivity. This includes the case when a hole blocking layer is added. Exceptions to such a rule can be found in solar cells with nanowires in the n-layer and ferroelectric end layers whereby the quantum efficiencies increase beyond the values expected. A simple mathematical model has been put forward to explain the dependence of quantum efficiency on the "internal" resistivity. Overall, lowering of the "internal" resistivity correlates well with degradation in the device performance and can be put in the context of a reduction in the effective diffusion length of the photo-excited carriers. High field and polarization effects by themselves do not affect the "Internal" resistivity.

关键词： Organic/hybrid solar cells "internal" resistivity hole blocking and polarization layers nanowires structural and morphological changes effective diffusion length

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Journal of Harbin Institute of Technology(New Series) 2000年第1期7卷 46-49页

作者：何茂平顾学迈 dept. of ece Harbin Institute of Technology Harbin 150001 China

Presents a phase compensation against the signal distortion mainly caused by TWTA to solve the problem of compensation and modelling of a nonlinear QPSK satellite channel assumed to be bandlimited and exhibit both amplitude and phase nonlinearities, and to lower the bit error probability of nonlinear channel, and concludes with simulation results that the compensation against phase distortion of TWTA can significantly improve the nonlinear performance of the channel.

关键词： QPSK satellite channel nonlinearity phase compensation

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合成孔径雷达多普勒频谱的盲分裂解法

电子学报 2005年第6期33卷 974-976页

作者：许稼李骏彭应宁夏香根李刚清华大学电子工程系 dept of ece University of DelawareNewarkDE19716USA

针对合成孔径雷达中由于多普勒中心偏移和谱宽扩展导致的“频谱分裂”问题,本文提出了一种基于“双门限”处理的频谱盲解分裂方法.基于单个距离单元的采样数据,新方法无需辅助信息便可实现正确的频谱解分裂.仿真性能分析和实际数据验证... 详细信息

针对合成孔径雷达中由于多普勒中心偏移和谱宽扩展导致的“频谱分裂”问题,本文提出了一种基于“双门限”处理的频谱盲解分裂方法.基于单个距离单元的采样数据,新方法无需辅助信息便可实现正确的频谱解分裂.仿真性能分析和实际数据验证了新方法的有效性.

关键词：合成孔径雷达频谱分裂双门限处理频谱盲解分裂

基于DDC模型的机载雷达多普勒参数估计研究

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电子学报 2004年第9期32卷 1421-1424页

作者：许稼彭应宁万群张利平林彦夏香根清华大学电子工程系 dept of ece University of DelawareNewarkDE19716USA

基于多普勒分布式杂波 (DDC)模型 ,本文给出了机载雷达杂波多普勒参数估计的性能分析 .并针对多普勒扩展较小的DDC模型 ,提出了一种基于非线性算子的多普勒参数快速估计算法 ,该算法通过采样数据直接给出多普勒参数的闭式解 ,能够显著... 详细信息

基于多普勒分布式杂波 (DDC)模型 ,本文给出了机载雷达杂波多普勒参数估计的性能分析 .并针对多普勒扩展较小的DDC模型 ,提出了一种基于非线性算子的多普勒参数快速估计算法 ,该算法通过采样数据直接给出多普勒参数的闭式解 ,能够显著地减少运算量并满足实际机载雷达的应用需求 .

关键词：机载雷达多普勒分布式杂波模型多普勒参数非线性算子

Adaptive Output Feedback for Nonlinear Feedforward Systems with Multiple State and Input Delays via Dynamic High-Gain Scaling

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Adaptive Output Feedback for Nonlinear Feedforward Systems w...