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2019 8th International Symposium on Next Generation Electronics (ISNE)最新文献

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A Bayesian-based Self-Diagnosis Approach for Alarm Prognosis in Communication Networks 基于贝叶斯的通信网络报警预测自诊断方法
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896644
Rongyu Liang, Feng Liu, Jiantao Qu, Zhigo Zhang
Alarms are the symptom of faults and indicate an abnormal of the communication networks. The Bayesian network is one of the most powerful and popular fault analysis tools. In this paper, we present the alarm prognosis method based on Bayesian inference in order to estimate the health state and trend of the network given by an alarm take as evidence enters the network. The approach reduces human intervention and enhances the availability of the work effectively. Finally, experimental results verify the validity of the approach.
告警是通信网络出现异常的一种故障现象。贝叶斯网络是目前最强大、最流行的故障分析工具之一。本文提出了一种基于贝叶斯推理的报警预测方法,以报警作为进入网络的证据,对网络的健康状态和趋势进行预测。该方法减少了人为干预,有效地提高了工作的可用性。最后,通过实验验证了该方法的有效性。
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引用次数: 4
Analysis and Compensation of Color Chromatic Aberration 色差的分析与补偿
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896615
P. Sun, Q. Xue, Bang Liu
The refractive index of a lens varies for different wavelengths of light, which causes chromatic aberration. Although most camera lens are achromatic, but the residual chromatic aberration still decrease the image’s quality and the measurement accuracy seriously. In this paper, the camera lens chromatic aberration models for commercial camera lens are analyzed by experiments, and the optimized model is determined. According to the model, method for compensating chromatic aberration is given in this paper. The experiments have shown that the proposed method can eliminate the influence of chromatic aberration effectively.
透镜的折射率对不同波长的光是不同的,这就造成了色差。虽然大多数相机镜头都是消色差,但残余色差仍然严重影响图像质量和测量精度。本文通过实验分析了商用相机镜头的色差模型,确定了最优模型。根据该模型,给出了补偿色差的方法。实验表明,该方法能有效地消除色差的影响。
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引用次数: 0
Control Method applicable to Small Distributed Aerodynamic Brake Device 适用于小型分布式气动制动装置的控制方法
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896655
Chun Tian, Jun Qian, Yuanzhuo Feng
The structure and principle of the small distributed aerodynamic brake device are expounded. The function of the aerodynamic brake device is analyzed. The control strategy is put forward for the small distributed aerodynamic brake device, which is used to realize opening and closing, angle adjustment and locking of the wind plates, when motor of the aerodynamic brake device can be well controlled. The software of this control strategy is realized based on LabVIEW. The test shows that the control strategy can realize the established function of the aerodynamic brake device, and it can be the control strategy of the prototype of the aerodynamic brake device.
阐述了小型分布式气动制动装置的结构和工作原理。分析了气动制动装置的作用。提出了小型分布式气动制动装置的控制策略,在气动制动装置电机控制良好的情况下,实现风片的启闭、角度调节和锁紧。该控制策略的软件是基于LabVIEW实现的。试验表明,该控制策略能够实现气动制动装置的既定功能,可以作为气动制动装置样机的控制策略。
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引用次数: 2
FPGA Based Real-Time Multi-Face Detection System With Convolution Neural Network 基于FPGA的卷积神经网络实时多人脸检测系统
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896551
Huajie Xu, Zhaohui Wu, Jie Ding, Bin Li, Lanbo Lin, Jiangfeng Zhu, Zhijie Hao
The AdaBoost-based real-time face detections have been widely used in current video surveillance. However, the AdaBoost-based face detection has poor performances in detecting multi-face with different scales, multiple poses, and occlusion in complex lighting environment. Recent research shows that the convolutional neural network (CNN) can improve its accuracy. In this work, a FPGA based real-time multi-face detection system for crowded area surveillance application using CNN is presented. A hardware friendly fully quantization strategy is proposed and the result is tested on WIDER FACE dataset. With acceptable loss of accuracy, the FPGA based system can achieve a frame rate of 37 FPS at $512 times 288$ resolution with only 65 ms processing delay.
基于adaboost的实时人脸检测在当前的视频监控中得到了广泛的应用。然而,在复杂光照环境下,基于adaboost的人脸检测在检测不同尺度、多姿态和遮挡的多人脸方面表现不佳。最近的研究表明,卷积神经网络(CNN)可以提高其准确率。本文提出了一种基于FPGA的基于CNN的拥挤区域实时多人脸检测系统。提出了一种硬件友好的全量化策略,并在wide FACE数据集上对结果进行了测试。在可接受的精度损失下,基于FPGA的系统可以在512美元× 288美元的分辨率下实现37帧/秒的帧率,处理延迟仅为65毫秒。
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引用次数: 4
Research on the gray distribution model of stripe in structured light 3D measurement 结构光三维测量中条纹灰度分布模型研究
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896690
Bang Liu, Q. Xue, P. Sun
Because of the advantages of high measurement accuracy and efficiency, the structured light method has been become a research hotpot in 3D measurement field. The stripe pattern has been widely used in structured light system because of the advantages of anti-noise and high accuracy. Modulated by color and shape of the measurement object, the distribution of the stripe is degenerated. The accuracy of stripe center location, which is a key factor of measurement accuracy, is decreased by the degeneration. In this study, a method for modeling the distribution of stripe in shot image is proposed. Based on the method, several factors which influence the accuracy of locating the stripe center are simulated and analyzed. Furthermore, the performance of typical methods for locating stripe center are simulated. The experiments verified that the method does work. This method not only provide evidence for calculating the measurement accuracy of specific object, but also provide a tool to assess the performance of method for locating stripe center.
结构光方法由于具有测量精度高、效率高等优点,已成为三维测量领域的研究热点。条纹模式由于具有抗噪声和高精度等优点,在结构光系统中得到了广泛的应用。受测量对象的颜色和形状调制,条纹的分布退化。条纹中心定位的精度是影响测量精度的关键因素。本研究提出了一种对镜头图像中条纹分布进行建模的方法。在此基础上,对影响条纹中心定位精度的几个因素进行了仿真分析。此外,还对典型条纹中心定位方法的性能进行了仿真。实验证明该方法是有效的。该方法不仅为计算具体目标的测量精度提供了依据,而且为评价条纹中心定位方法的性能提供了工具。
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引用次数: 0
An improved model for contactless gait recognition 一种改进的非接触步态识别模型
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896542
Pengsong Duan, Shuhang Han, Yangjie Cao
For Wi-Fi signal perception, aiming at problems of insufficient acquisition of feature and low recognition accuracy in multi-person scene in gait recognition, we propose a new gait recognition model WiMGNet based on energy distribution map(EDM). Depending on the channel response information impact factor analysis, WiMGNet uses the mechanism EDM to reconstruct the raw data effectively, so that it can contain more gait features. Furthermore, WiMGNet introduces EDM into neural network model, which obtains a high accuracy in gait recognition in multi-person scene. Compared to current gait recognition models, WiMGNet significantly improves the ability of feature acquisition and recognition accuracy. The experimental results show that WiMGNet has a recognition accuracy of 98.8% in 30-person scene experiment in indoor environment, which has obvious advantages compared to other similar models.
在Wi-Fi信号感知方面,针对步态识别中多人场景下特征采集不足、识别准确率低等问题,提出了一种基于能量分布图(EDM)的步态识别新模型WiMGNet。WiMGNet在通道响应信息影响因子分析的基础上,利用机制EDM对原始数据进行有效重构,使其能够包含更多的步态特征。此外,WiMGNet在神经网络模型中引入了EDM,在多人场景下获得了较高的步态识别精度。与现有的步态识别模型相比,WiMGNet显著提高了特征获取能力和识别精度。实验结果表明,在室内环境下的30人场景实验中,WiMGNet的识别准确率达到98.8%,与其他同类模型相比具有明显的优势。
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引用次数: 2
Sensorless Model Reference Adaptive Control of Permanent Magnet Synchronous Motor for Industrial Robots 工业机器人永磁同步电机无传感器模型参考自适应控制
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896566
Xiaoliang Wu, Bin Zhang
In order to improve the speed and position control accuracy of permanent magnet synchronous motors for industrial robots, and to improve its performance. Firstly, the mathematical model of permanent magnet synchronous motor is given, and the model reference adaptive algorithm is introduced. Based on this algorithm, a sensorless control system for permanent magnet synchronous motor based on model reference adaptive is designed. It essentially does not use a speed or position sensing sensor to estimate the motor speed and position by detecting the stator voltage or stator current of the motor. By using MATLAB to simulate the whole system, the simulation curve shows that the proposed permanent magnet synchronous motor model reference adaptive sensorless control method has good adaptability and robustness to the rotational speed and rotor position change. It can realize high-performance sensorless control of permanent magnet synchronous motor. The control method can significantly improve the speed and position control accuracy of the permanent magnet synchronous motor for industrial robots, and is of great significance for improving industrial production efficiency.
为了提高工业机器人用永磁同步电机的速度和位置控制精度,提高其性能。首先,给出了永磁同步电机的数学模型,并介绍了模型参考自适应算法。基于该算法,设计了一种基于模型参考自适应的永磁同步电机无传感器控制系统。它本质上不使用速度或位置传感传感器,通过检测电机的定子电压或定子电流来估计电机的速度和位置。利用MATLAB对整个系统进行仿真,仿真曲线表明所提出的永磁同步电机模型参考自适应无传感器控制方法对转速和转子位置变化具有良好的适应性和鲁棒性。它可以实现永磁同步电机的高性能无传感器控制。该控制方法可显著提高工业机器人永磁同步电机的速度和位置控制精度,对提高工业生产效率具有重要意义。
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引用次数: 5
Modeling of mutual inductance between planar inductors on the same plane 同一平面上平面电感间互感的建模
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896599
Feng Zhang, Chunyu Ma, Ting Zhao
This paper presents a compact model of mutual inductance between two planar inductors on the same plane, which is essential to design and optimize multiple output isolated power supply or multi-channel digital isolators. The proposed model considers the influence of shapes, geometric parameters and relative lateral distances of the inductors, and it is derived by solving Neumann’s integral. Different planar inductors are simulated by 3-D electromagnetic(EM) software and fabricated on a printed circuit board (PCB) or silicon wafer. The proposed model shows good agreement with simulation and measurement results.
本文提出了同一平面上两个平面电感之间互感的紧凑模型,该模型对设计和优化多输出隔离电源或多通道数字隔离器具有重要意义。该模型考虑了电感器的形状、几何参数和相对横向距离的影响,并通过求解诺依曼积分推导出该模型。利用三维电磁(EM)软件对不同的平面电感进行仿真,并在印刷电路板(PCB)或硅片上制作。该模型与仿真和实测结果吻合较好。
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引用次数: 0
Wireless Detector for Illicit CATV Tapping 非法有线电视窃听无线探测器
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896564
Nikko Ardel P. Floretes, Adrian U. Gadin, Mercwesley I. Uy
One of the basic applications of television is to give entertainment via cable. Cable companies provide their customers the channels that are broadcasted locally or internationally. Digital Cable TV is fast growing nowadays, but not all companies are ready to adapt to this technology. Analog transmission of cable is still available, however, it is prone to illicit tapping. This study was conducted to detect illicit connections on CATV (Cable Television) lines particularly on analog transmission of signal. The system was conducted on a laboratory scale setup. There was a miniature type CATV distribution line wherein there was a connection from the device to the line. If the system detects illicit connection, then it notifies the user via mobile application. The functionality test was performed to evaluate and validate if the system conforms to its desired tasks. The functions of the system under the evaluation test were a) detection of illicit connection, b) sending of data via Bluetooth and c) receiving of data of the mobile phone. Analysis of the data revealed that the system operated with its desired functions. The results of this study indicate that the developed system was reliable on its functions particularly on detecting illicit connections.
电视的一个基本用途是通过有线电视提供娱乐。有线电视公司向客户提供本地或国际广播频道。数字有线电视目前发展迅速,但并非所有公司都准备好适应这项技术。模拟电缆传输仍然可用,但是,它很容易被非法窃听。这项研究是为了检测有线电视线路上的非法连接,特别是模拟信号传输。该系统是在实验室规模的装置上进行的。有一个微型的有线电视分配线路,其中有一个连接从设备到线路。如果系统检测到非法连接,那么它会通过移动应用程序通知用户。执行功能测试是为了评估和验证系统是否符合其期望的任务。评估测试下的系统功能是a)检测非法连接,b)通过蓝牙发送数据,c)接收手机数据。对数据的分析表明,该系统按预期功能运行。研究结果表明,所开发的系统在功能上是可靠的,特别是在检测非法连接方面。
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引用次数: 0
ISNE 2019 Author Index ISNE 2019作者索引
Pub Date : 2019-10-01 DOI: 10.1109/isne.2019.8896404
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引用次数: 0
期刊
2019 8th International Symposium on Next Generation Electronics (ISNE)
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