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2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)最新文献

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Radar Emitter Signal Recognition based on Contour Lines of Ambiguity Function and Stacked Denoising Auto-encoders 基于模糊函数等高线和叠置去噪自编码器的雷达发射信号识别
Yunwei Pu, Jiang Guo, Taotao Liu, Haixiao Wu
Aiming at many problems of complex radar emitter signal recognition methods, like poor anti-noise performance and low recognition rate. In this paper, a new recognition method based on contour lines of ambiguity function and stacked denoising auto-encoders is proposed. First, an ambiguity function is processed by the Gaussian smoothing and calculate contour lines by linear interpolation. Then, principal component analysis is used to reduce its feature dimension, retain the main ambiguity energy information. Finally, deep learning stacked denoising auto-encoders are built to learn and extract the deep and more ubiquitous features of contour lines, and classify them through the Softmax classifier. The simulated experiments show that the overall average recognition rate of the six typical radar signals is maintained above 99.83% when the signal-noise ratio is 0dB. Even in the -6dB environment, it also can reach 83.67%, which proves this method has good performance and feasibility under the extremely low signal-noise ratio conditions.
针对复杂雷达辐射源信号识别方法存在的抗噪声性能差、识别率低等问题。本文提出了一种基于模糊函数轮廓线和叠置去噪自编码器的图像识别方法。首先对模糊函数进行高斯平滑处理,并用线性插值法计算轮廓线;然后,利用主成分分析对其特征维数进行降维,保留主模糊能量信息;最后,构建深度学习堆叠去噪自编码器,学习提取轮廓线的深度特征和更普遍的特征,并通过Softmax分类器对其进行分类。仿真实验表明,当信噪比为0dB时,6种典型雷达信号的总体平均识别率保持在99.83%以上。即使在-6dB环境下,也能达到83.67%,证明了该方法在极低信噪比条件下具有良好的性能和可行性。
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引用次数: 0
An On-line Evaluation Method of Multi-Functional Radar Jamming Effect 一种多功能雷达干扰效果在线评估方法
Bakun Zhu, Weigang Zhu, Wei Li, Tianhao Gao
Real-time and accurate evaluation of jamming effect is the key to implement intelligent jamming decision. The existing evaluation method of jamming effect based on radar side is too rough to serve the problem of radar jamming intelligent decision. Based on the syntactic model, a four-layers multi-functional radar signal mode (FMRSM) is proposed in this paper. By analyzing the behavior rules of multi-functional radar(MFR) in the process of radar countermeasure, an online evaluation model of multifunctional radar jamming effect is proposed in combination with FMRSM. The effectiveness of the jamming effect evaluation method is proved by experimental simulation under the background of aircraft penetration.
实时、准确的干扰效果评估是实现智能干扰决策的关键。现有的基于雷达侧的干扰效果评估方法过于粗糙,难以解决雷达干扰智能决策问题。基于该句法模型,提出了一种四层多功能雷达信号模式(FMRSM)。通过分析多功能雷达在雷达对抗过程中的行为规律,结合FMRSM,提出了多功能雷达干扰效果的在线评估模型。通过飞机突防背景下的实验仿真,验证了该干扰效果评估方法的有效性。
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引用次数: 1
Number-Based Strings/Passwords From Imaginary Graphs Of Topological Coding For Encryption 基于数字字符串/密码的拓扑编码虚图加密
Hongyu Wang, B. Yao, Jing Su, Wan-Jia Zhang
For letting graphic lattices approaching lattices, we define imaginary graphs and the leaf-splitting operation and the leaf-coinciding operation, and show an equivalent property: The leaf-splitting connectivity of a connected im-graph is equivalent to its edge connectivity. Using im-graphs produce complex degree-sequence lattices, graphic lattices, im-graphs in the integer decomposition problem, topological IoT-networks and data-functional IoT-networks. Each integer m with |m| ≥ 2 corresponds at least a graph or an im-graph. We try to build some connections between popular lattices and our lattices, and moreover propose some problems on Hanzi-writings lattices constructed by Chinese character coding.
为了让图形格接近格,我们定义了虚图以及分叶操作和合叶操作,并给出了一个等价性质:连通图像的分叶连通性等价于其边连通性。利用im图生成复度序列格、图格、整数分解问题中的im图、拓扑物联网网络和数据函数物联网网络。每个整数m,当|m|≥2时,至少对应一个图或一个图像。我们尝试在常用格和我们的格之间建立一些联系,并对汉字编码构建的汉字格提出了一些问题。
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引用次数: 2
Design and pragtfctice of heterogeneous multi-system message center 异构多系统消息中心的设计与实现
Wenyuan Zhao, YunChang Cheng, Yufang Tang, Dandan Li
With the acceleration of informatization, more and more tool software and application systems are born. The systems are independent of each other, with different structures, and there are a lot of messages. System users often have to switch between the systems to see if there are tasks that need to be processed. There is no unified message entry or message reminder, and more and more systems are used. Burden. Use message middleware to centrally distribute various system tasks, and use system automatic push to remind users of message processing in real time to increase system efficiency and reduce message processing and receiving time. Synchronous/asynchronous sending and receiving of distributed applications and traditional applications, as well as unified communication interface specifications for applications, ensure the continuity and spreadability of the system. At the same time, it ensures that the messages sent and received are accurate and reliable under the condition of heterogeneous and multi-systems, reducing the coupling between the business system and the processing system, and playing a role of loose coupling.
随着信息化进程的加快,越来越多的工具软件和应用系统应运而生。这些系统彼此独立,具有不同的结构,并且有很多消息。系统用户经常需要在系统之间切换,以查看是否有需要处理的任务。没有统一的消息录入和消息提醒,使用的系统越来越多。负担。使用消息中间件集中分配各种系统任务,使用系统自动推送实时提醒用户消息处理情况,提高系统效率,减少消息处理和接收时间。分布式应用和传统应用的同步/异步收发,以及应用统一的通信接口规范,保证了系统的连续性和可扩展性。同时保证了在异构、多系统条件下发送和接收的消息准确可靠,减少了业务系统与处理系统之间的耦合,起到了松耦合的作用。
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引用次数: 0
Analysing Effective Connectivity of the Math-gifted Brain with Nonlinear Granger Causality 用非线性格兰杰因果关系分析数学天才大脑的有效连通性
Xiang Jiang, Haixian Wang
As the cornerstone of natural sciences, mathematics influences and changes our technology oriented world in systematic and progressive ways. The importance of fostering and developing mathematically gifted children/adolescents has been acknowledged widely. Spectral measures of linear Granger causality have been widely applied to study the causal connectivity between time series data in neuroscience, biology, and economics. Traditional Granger causality measures are based on linear autoregressive with exogenous inputs models of time series data, which cannot truly reveal nonlinear effects in the data especially in the frequency domain. In this paper, we used nonlinear Granger causality based on kernel methods to study the effective connectivity between the frontal brain area and the posterior brain area in the mathematical frontoparietal network system during deductive reasoning tasks. It was founded that the frontoparietal regions of the math-gifted show stronger working memory information processing at the θ-band and math-gifted group show more significant increase in the mid-front brain area and the posterior parietal area compared with control group.
作为自然科学的基石,数学以系统和渐进的方式影响和改变着我们这个以技术为导向的世界。培养和发展数学天才儿童/青少年的重要性已得到广泛认可。线性格兰杰因果关系的谱测度在神经科学、生物学和经济学等领域广泛应用于研究时间序列数据之间的因果关系。传统的格兰杰因果度量是基于时间序列数据的外生输入线性自回归模型,不能真正揭示数据特别是频域的非线性效应。本文采用基于核方法的非线性格兰杰因果关系,研究了数学额顶叶网络系统在演绎推理任务中额、后脑区之间的有效连通性。结果发现,数学天才组的额顶叶区在θ-波段表现出较强的工作记忆信息加工,数学天才组在中前脑区和后顶叶区表现出较对照组更显著的增加。
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引用次数: 1
Research on 3D Medical Image Segmentation based on improved 3D-Unet 基于改进3D- unet的三维医学图像分割研究
Hailan Yu, Weili Chen
Magnetic resonance imaging (MRI) images have high tissue resolution and rich contrast, and are important data for the study of hippocampal morphology. The hippocampal volume can not achieve the ideal segmentation effect in human brain MRI images, and few people have studied the 3D reconstruction of human brain MRI. An improved 3D-Unet medical image processing is proposed in this paper. Through the establishment of 3D segmentation algorithm, the 3D reconstruction and visualization of brain tissue are realized, and the linkage between segmentation algorithm and 3D visualization system is realized. Experiments show that the improved algorithm has high recognition rate and strong adaptability.
磁共振成像(MRI)图像具有高组织分辨率和丰富的对比度,是研究海马形态学的重要数据。海马体积在人脑MRI图像中无法达到理想的分割效果,对人脑MRI三维重建的研究也很少。提出了一种改进的3D-Unet医学图像处理方法。通过建立三维分割算法,实现了脑组织的三维重建和可视化,实现了分割算法与三维可视化系统的联动。实验表明,改进后的算法具有较高的识别率和较强的适应性。
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引用次数: 1
An Optimized Scheme of Random Access Procedure for Power Wireless Private Network 电力无线专网随机接入程序的优化方案
Weibin Hou, Bin Du, Qi Wang, Jie Zhou, Weiping Shao, Weijun Zheng, Jiadong Du
long term evolution (LTE) has been widely using in power wireless private network. As safety and reliability are the basic requirements of power wireless private network, systems should reoperate and key user equipment should be re-connected as soon as possible after some unexpected situations, for example power down and power on for an evolved Node B. Therefore, an optimized scheme of random access (RA) procedure for TD-LTE power wireless private network was presented in this paper. Referring to specific priorities about different power services, distributions of preambles during random access process were optimized when power wireless private network suffering unexpected situations. Combining with realistic power services, a reserve plan was capable be achieved by using this scheme. With this scheme, high priority services could be re-connected to the system in time, and other services could also be re-connected as much as possible, the reliability of power wireless private network was improved.
长期演进(LTE)技术在电力无线专网中得到了广泛应用。由于安全性和可靠性是电力无线专网的基本要求,在发生意外情况(如演进节点b掉电又上电)后,系统应尽快重新运行,关键用户设备应尽快重新连接。为此,本文提出了一种TD-LTE电力无线专网随机接入(RA)流程的优化方案。针对不同电力业务的具体优先级,优化电力无线专网突发情况下随机接入过程中序文的分布。结合实际电力业务情况,采用该方案可实现备用计划。该方案既能及时将高优先级业务重新接入系统,又能尽可能地将其他业务重新接入系统,提高了电力无线专网的可靠性。
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引用次数: 0
Image saliency detection method for safe operation of substation 变电站安全运行的图像显著性检测方法
Pengfei Sheng, Qi Yin, Y. Shen
Aiming at the problem that methods based on background templates in existing substation scenes cannot completely detect salient targets with similar characteristics in some areas and the background, a salient target integrity detection method based on contour detection is proposed. First, extract the initial contours of the input image, use the proposed virtual connection-based contour processing scheme to merge adjacent contours and remove isolated contours, and use the designed shortest path-based closed-loop search scheme to merge the contours with longer distances to obtain Saliency map for contour detection. Then, an adaptive threshold segmentation algorithm is used to process the saliency map based on background template suppression to obtain the binarized saliency map and the salient pixels. By removing the complete area of the contour with the proportion of salient pixels smaller than the specified threshold, an optimized saliency map based on contour detection is obtained. Finally, merge it with the binarized saliency map to obtain a complete saliency map. The results prove that the method in this paper can obtain a better saliency map for images where the saliency target is located at any position.
针对现有变电站场景中基于背景模板的方法无法完全检测出某些区域与背景特征相似的显著目标的问题,提出了一种基于轮廓检测的显著目标完整性检测方法。首先,提取输入图像的初始轮廓,使用提出的基于虚拟连接的轮廓处理方案合并相邻轮廓并去除孤立轮廓,并使用设计的基于最短路径的闭环搜索方案合并距离较长的轮廓,获得Saliency map进行轮廓检测。然后,采用基于背景模板抑制的自适应阈值分割算法对显著性图进行处理,得到二值化后的显著性图和显著像素;通过去除显著像素比例小于指定阈值的轮廓的完整区域,得到基于轮廓检测的优化显著性图。最后,将其与二值化后的显著性图合并,得到一个完整的显著性图。结果表明,对于显著性目标位于任意位置的图像,本文方法都能得到较好的显著性图。
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引用次数: 0
Level set segmentation method based on local area fitting information and guided filter fuzzy clustering 基于局部拟合信息和引导滤波模糊聚类的水平集分割方法
Cheng Yang, Y. Xue
Image segmentation plays an important role in many aspects of medical image analysis, especially in computer-aided diagnosis. In order to obtain a more accurate target contour, solve the problem that the level set method is sensitive to the initial contour, and make the algorithm more robust to noise, this thesis uses the guided filter fuzzy clustering algorithm to perform image pre-segmentation, and then combines with the level set model based on local area fitting information. First, the fuzzy clustering algorithm is used to obtain the control parameters of the level set evolution. Then, combined with the local neighborhood characteristics of the image points, the regional term coefficients and edge stop functions of the level set model are improved. Finally, the Gaussian Laplacian energy term is introduced to enhance the edge information of the target. Experiments have proved that the algorithm model proposed in this thesis realizes the automation of the initial contour of the level set, and at the same time improves the accuracy of segmentation, and is more robust to noise.
图像分割在医学图像分析的许多方面,特别是在计算机辅助诊断中起着重要的作用。为了获得更精确的目标轮廓,解决水平集方法对初始轮廓敏感的问题,同时提高算法对噪声的鲁棒性,本文采用引导滤波模糊聚类算法对图像进行预分割,然后结合基于局部拟合信息的水平集模型。首先,利用模糊聚类算法获得水平集进化的控制参数;然后,结合图像点的局部邻域特征,改进水平集模型的区域项系数和边缘停止函数;最后,引入高斯拉普拉斯能量项增强目标的边缘信息。实验证明,本文提出的算法模型实现了水平集初始轮廓的自动化,同时提高了分割的精度,对噪声具有更强的鲁棒性。
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引用次数: 0
Time synchronization method based on time interval measurement 基于时间间隔测量的时间同步方法
Chen Xiaomao, Liu Chunfei, Fan Yiwei, Guo Ning
In order to solve the demand of time synchronization with GPS satellite clock, a combination of high-precision time interval measurement technology and crystal taming technology is used to realize the taming control of local clock source by using standard 1PPS signal to complete the time synchronization with GPS satellite clock. The interpolation of the delay unit is completed by the internal feed structure of FPGA to measure the time interval smaller than the system clock, which is combined with the pulse counting method to increase the range of the delay unit interpolation measurement. Finally, the FPGA is used to control the DAC7512 output voltage in real time to adjust the output of the local crystal based on the time interval output value. After a long time test, the accuracy of the synchronous 1PPS obtained by this method is better than 700ps compared with the standard 1PPS, and the local crystal can maintain a stable state for a long time.
为解决与GPS卫星时钟时间同步的需求,采用高精度时间间隔测量技术与晶体驯服技术相结合,利用标准1PPS信号实现对本地时钟源的驯服控制,完成与GPS卫星时钟的时间同步。延迟单元的插补由FPGA内部馈电结构完成,测量小于系统时钟的时间间隔,并与脉冲计数法相结合,增加延迟单元插补测量的范围。最后,利用FPGA实时控制DAC7512输出电压,根据时间间隔输出值调整本晶输出。经过长时间的测试,与标准1PPS相比,该方法获得的同步1PPS精度优于700ps,且局部晶体能长时间保持稳定状态。
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引用次数: 0
期刊
2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
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