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2022 Chinese Automation Congress, CAC 2022

作者： Wang, Jingsi Liu, Dong Zheng, Ran Hu, Yongcai Gao, Wu Zhao, Chen Northwestern Polytechnical University School of Computer Science Xi'an China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin China

ISBN: (纸本)9781665465335

Image stitching plays an important role in the field of computer vision and image processing. Although some sophisticated stitching methods have been proposed, they are usually time-consuming. Because many application scenarios, such as video surveillance, need quick image stitching to provide a wide field of view, accelerating the image stitching is critical. In recent years, the neural network is used to stitching images, but only relatively small size images can be processed;meanwhile, time-consuming image stitching is also unavoidable. In this paper, to quickly stitch 1920×1080 images generated by the dual camera system, an image stitching algorithm is proposed. We divided the algorithm depending on its timeliness on different steps, and its time-consuming steps are parallelized on Graphics Processing Unit (GPU) platforms to be accelerated. We tested different hierarchies for organization of threads and access of memory on compute unified device architecture (CUDA) programming, and the final experiment results showed that our algorithm could reach a speedup ratio up to 119x on the Desktop with 3080ti. © 2022 IEEE.

关键词： Graphics processing unit

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RePAD: Real-Time Proactive Anomaly Detection for Time Series 34th

RePAD: Real-Time Proactive Anomaly Detection for Time Series

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34th International Conference on Advanced information Networking and Applications, AINA 2020

作者： Lee, Ming-Chang Lin, Jia-Chun Gran, Ernst Gunnar Department of Information Security and Communication Technology Norwegian University of Science and Technology Gjøvik2815 Norway Simula Research Laboratory Fornebu1364 Norway

ISBN: (纸本)9783030440404

During the past decade, many anomaly detection approaches have been introduced in different fields such as network monitoring, fraud detection, and intrusion detection. However, they require understanding of data pattern and often need a long off-line period to build a model or network for the target data. Providing real-time and proactive anomaly detection for streaming time series without human intervention and domain knowledge is highly valuable since it greatly reduces human effort and enables appropriate countermeasures to be undertaken before a disastrous damage, failure, or other harmful event occurs. However, this issue has not been well studied yet. To address it, this paper proposes RePAD, which is a Real-time Proactive Anomaly Detection algorithm for streaming time series based on Long Short-Term Memory (LSTM). RePAD utilizes short-term historical data points to predict and determine whether or not the upcoming data point is a sign that an anomaly is likely to happen in the near future. By dynamically adjusting the detection threshold over time, RePAD is able to tolerate minor pattern change in time series and detect anomalies either proactively or on time. Experiments based on two time series datasets collected from the Numenta Anomaly Benchmark demonstrate that RePAD is able to proactively detect anomalies and provide early warnings in real time without human intervention and domain knowledge. © 2020, Springer Nature Switzerland AG.

关键词： Time series

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Actively tunable dual-broadband graphene-based terahertz metamaterial absorber

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Chinese Physics B 2021年第12期30卷 495-502页

作者： Dan Hu Tian-Hua Meng Hong-Yan Wang Mai-Xia Fu School of Physics and Electrical Engineering Anyang Normal UniversityAnyang 455000China Department of Physics and Electronics Science Shanxi Datong UniversityDatong 037009China School of Education Information Technology and Communication Anyang Normal UniversityAnyang 455000China College of Information Science and Engineering Henan University of TechnologyKey Laboratory of Grain Information Processing and ControlMinistry of EducationZhengzhou 450001China

A tunable metamaterial absorber(MA)with dual-broadband and high absorption properties at terahertz(THz)frequencies is designed in this *** MA consists of a periodic array of flower-like monolayer graphene patterns at top,a SiO_(2)dielectric spacer in middle,and a gold ground plane at the *** simulation results demonstrate that the designed MA has two wide absorption bands with an absorption of over 90%in frequency ranges of 0.68 THz-1.63 THz and 3.34 THz-4.08 THz,and the corresponding relative bandwidths reach 82.3%and 20%,*** peak absorptivity of the absorber can be dynamically controlled from less than 10%to nearly 100%by adjusting the graphene chemical potential from 0 eV to 0.9 ***,the designed absorber is polarization-insensitive and has good robustness to incident *** a high-performance MA has broad application prospects in THz imaging,modulating,filtering,etc.

关键词： metamaterial graphene absorber terahertz

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A high-resolution weak signal detection method based on stochastic resonance and superhet technology

A high-resolution weak signal detection method based on stoc...

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2012 7th International ICST Conference on communications and Networking in China, CHINACOM 2012

作者： Shi, Shuo Yin, Wanyi Yang, Mingchuan He, Mingjie National Key Laboratory of Communication System and Information Control Technology China Harbin Institute of Technology China University of Science and Technology of China China

ISBN: (纸本)9781467326995

A detection method based on the strong low-frequency weak-signal detection ability of stochastic resonance is proposed, aimed at the detection of the unknown weak signal. By mixing the unknown signal with a continuous linear changing local oscillator signal, a difference frequency signal will be generated, which will be sent to the stochastic resonance system. Thus, an obviously changed output can be obtained. Because the stochastic resonance system is extremely sensitive to low frequency, the system will have a maximum output when the local oscillator and frequency of the unknown signal are closest. The frequency of the unknown signal will be measured precisely from the local oscillator frequency and the difference frequency. It can be inferred from the theoretical analysis and numerical simulation that this method has a large detection range, high resolution, and good prospect. © 2012 IEEE.

关键词： Stochastic systems

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Lidar echo characteristics analysis for stepped terrain

Lidar echo characteristics analysis for stepped terrain

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8th International Symposium on Precision Engineering Measurements and Instrumentation

作者： Jia, Yudong Zhang, Xiaoqing Lv, Yong Lang, Xiaoping School of Instrument Science and Opto-electronics Engineering Beijing Information Science and Technology University Beijing 100192 China Science and Technology on Electro-Optical Information Security Control Laboratory Sanhe 065201 China

ISBN: (纸本)9780819495501

According to the gridded discrete processing method, the laser echo characteristics in the case of ladder terrain ground are analyzed theoretically, and the ladder-like terrain echo mathematical model are established. We find from the work that these two peaks of ladder terrain echo curve is the reflecting of ladder and ground respectively, the time interval between wave peaks is determined by the mutations height of terrain. The mutations height is higher, pulse shaping is more obvious, it is also shown that ground reflectivity in the laser spot affects the size of the echo peak mainly, and does not affect the peak location on the curve. © 2013 SPIE.

关键词： Ladders

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A Spectrum Sensing Method Based on CNN-LSTM Deep Neural Network 7

A Spectrum Sensing Method Based on CNN-LSTM Deep Neural Netw...

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7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021

作者： Zhang, Shujian Xu, Zhan Tian, Lu Yang, Xiaolong Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Beijing100101 China School of Information and Communication Engineering Beijing Information Science and Technology University Beijing100101 China

ISBN: (纸本)9781665405829

Spectrum sensing can effectively improve the low utilization of spectrum resources and is one of the crucial components of cognitive radio networks. This paper proposes a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) network cascaded spectrum sensing model. The model uses CNN to analyze the Short-Time Fourier transform spectrogram of the blind signal. Then the generated feature vector or feature map is passed to the LSTM according to the timestamp. Finally, it detects a signal in a specific spectrum and classifies the signal type to identify multiple signals accurately. The neural network model improves the detection probability by simultaneously acquiring the spatial and temporal characteristics of the blind signal. The experimental results show that the method in this paper can detect a variety of signals with higher detection probability within a wide range of SNR, especially under the condition of low SNR. © 2021 IEEE.

关键词： Cognitive radio

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Design of the detection system for the position of the crankshaft flange hole group based on vision measurement technology 8

Design of the detection system for the position of the crank...

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8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Fu, Luhua Hu, Yutong Pang, Jiaming Dong, Liu Shuai, Jia Ma, Baoqiang Key Laboratory of Photoelectric Control Technology Tianjin300072 China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300308 China Tianjin University Tianjin300072 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

This paper studies a method of detecting the position of crankshaft flange hole group based on vision measurement, and sets up the position detection system of crankshaft flange hole group. The relative measurement model of hole group position is established by using the standard crankshaft information, and the system calibration method is studied. In this paper, a multi-camera calibration method based on polynomial fitting two-dimensional image mapping model is adopted. In addition, the image processing technology of hole group is studied. The improved Canny edge detection method is used to extract the contour of the hole group. Redundant edge filtering algorithm is used to eliminate unreliable edges. Then use the gradient interpolation method to extract sub-pixel edges. The measurement results show that the single-direction measurement error of the central coordinate of the crankshaft flange hole group is less than 0.07mm, and the repeatability error is less than 0.009mm, which provides a basis for the realization of industrial online efficient detection. © 2022 SPIE

关键词： Calibration

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A Robust and Scalable One-PUF-to-Many Authentication and Key Agreement Scheme for Mobile communication Network

A Robust and Scalable One-PUF-to-Many Authentication and Key...

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2023 International Conference on Networking and Network Applications, NaNA 2023

作者： Wang, Yiteng Ren, Zhe Wang, Wei School of Cyber Engineering Xidian University Xi'an China The 36th Research Institute of China Electronics Technology Group Corporation Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9798350327380

Under the multi-cloud environment of mobile communication networks, unattended terminals would possibly be involved in different tasks. For the network security, terminals should be authenticated by cloud service providers (CSPs) before being involved in various tasks. As a new cryptology primitive, Physical Unclonable Function (PUF) can be served as a trusted root for unattended terminals and provide security property against physical attacks, based on which physical secure authentication can be executed. However, applying the PUF directly to the multi-cloud environment caused the authentication scheme to rely on the storage of the primitive challenge-response pairs, and there was a single point of failure problem. To solve these issues, we propose an authentication and key agreement scheme named RSOPM for secure authentication between terminals and CSPs. Specifically, mutual authentication without the storage of the primitive challenge-response pairs on the cloud is enabled by exploiting the trapdoor collision property of the chameleon hash function. Moreover, the redactable blockchain containing distributed registration information makes a terminal register only once, and then the terminal gains access to the various CSPs. The security properties are discussed to show our scheme resists various attacks. The results of experiments show that the overall delay is reduced by 33 % compared to other multi-cloud authentication schemes. © 2023 IEEE.

关键词： Authentication

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A Novel Integer Frequency Offset Estimation Method for OFDM Based on Preamble 7

A Novel Integer Frequency Offset Estimation Method for OFDM ...

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7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021

作者： Liu, Xinxin Xu, Zhan Tian, Lu Yang, Xiaolong Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Beijing100101 China School of Information and Communication Engineering Beijing Information Science and Technology University Beijing100101 China

ISBN: (纸本)9781665405829

Orthogonal frequency division multiplexing (OFDM) is very sensitive to frequency offset. Although the existence of integer frequency offset in OFDM will not destroy the orthogonality between subcarriers, it will cause a cyclic shift of the frequency domain data after FFT transformation at the receiving end, which will affect the demodulation of data. In this paper, we propose a novel integer frequency offset estimation method based on the similarity property of adjacent subcarriers of the preamble. This method not only guarantees the original accuracy and performance of the conventional method but also achieves less resource consumption and lower computational complexity. © 2021 IEEE.

关键词： Orthogonal frequency division multiplexing

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Multiphoton absorption and damage threshold of Yb3+ and Tm 3+ doped SiO2 fiber core

Multiphoton absorption and damage threshold of Yb3+ and Tm 3...

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2011 Academic International Symposium on Optoelectronics and Microelectronics technology, AISOMT 2011

作者： Yunju, Zhang Zhongkai, Wang Yanan, Chen Youyi, Zhao National Key Laboratory of Tunable Laser Technology Harbin Institute of Technology Harbin China Science and Technology on Electr-optical Information Security Control Laboratory Liang Fang China

ISBN: (纸本)9781457707964

Using the Yb3+ and Tm3+ doped SiO2 fiber rods as the samples and ultrafast 800 nm femtosecond (fs) laser sources, the multiphoton absorption characteristics and damage threshold are experimental investigated based on the open Z-scan and nonlinear transmission measurement technology. The five-photon absorption coefficient of the Yb3+ doped fiber core has nearly tenfold increment than that of the fiber clad. But the five-photon absorption coefficient of the Tm3+-dopd fiber core is less than 5% of the fiber clad. With the incident fs laser power increasing, the five-photon absorption coefficient of three different samples is decreased. Further analyzing the open Z-scan results, the multiphoton absorption should contain the six-photon absorption process. Using the nonlinear transmission measurement technology, the damage thresholds are measured, and they are 12.1 TW/ cm2 (the Yb3+-doped fiber core) and 16.4 TW/cm 2 (fiber clad). © 2011 IEEE.

关键词： Photons

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