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

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Photovoltaic power MPPT controller based on fuzzy-backstepping method 基于模糊反演法的光伏发电MPPT控制器
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896680
Junrui Wang, Chuang Wang, Sining Jia, Shang Xiang, Xiang Shan
For photovoltaic power generation systems, the traditional maximum power point tracking (MPPT) control algorithm has the disadvantages of poor stability and inability to accurately track the maximum power. Therefore, this paper proposes a kind of nonlinear control-backstepping method based on Lyapunov function and fuzzy control to achieve MPPT. This method designs a backstepping controller for the system, and using fuzzy control to obtain the reference voltage of the photovoltaic in the backstepping controller. The topology circuit of the system consists of a photovoltaic panel, a boost circuit, and a load. It’s shown by simulation experiments that the control strategy can effectively reduce the oscillation problem of the photovoltaic power system at the maximum power, alleviate the impact on electronic components in the circuit, and the robustness is stronger.
对于光伏发电系统来说,传统的最大功率点跟踪(MPPT)控制算法存在稳定性差、无法准确跟踪最大功率的缺点。因此,本文提出了一种基于Lyapunov函数和模糊控制的非线性控制-反演方法来实现MPPT。该方法为系统设计了一个反步控制器,并在反步控制器中使用模糊控制来获取光伏的参考电压。该系统的拓扑电路由光伏板、升压电路和负载组成。仿真实验表明,该控制策略能有效降低光伏发电系统在最大功率时的振荡问题,减轻对电路中电子元件的冲击,鲁棒性更强。
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引用次数: 1
Design of Circular Polarization Log-Periodic Antenna 圆极化对数周期天线的设计
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896652
Mingshan Yang, C. Tian, Fei Xie
In order to enhance the receiving and transmitting characteristics and anti-interference the ability of the antenna. It has a great significance to study the circular polarization characteristics of the log-periodic antenna. The linear polarization log-periodic antenna is designed by using the control variable method to change the antenna scale factor and the shortest vibrator length. Circular polarization is realized by using the combination of two pairs of similar linear polarization log-periodic antenna. The optimal result parameters are obtained by simulation, and the circular polarization log-periodic antenna working in L-band with VSWR $lt2.5$ is designed and implemented.
为了提高天线的收发特性和抗干扰能力。研究对数周期天线的圆极化特性具有重要意义。采用控制变量法改变天线比例因子和最短振子长度,设计了线性极化对数周期天线。圆极化是利用两对相似线性极化对数周期天线的组合实现的。通过仿真得到了最优结果参数,设计并实现了工作在l波段、VSWR为lt2.5的圆极化对数周期天线。
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引用次数: 0
A Clustering-SVM Ensemble Method for Intrusion Detection System 入侵检测系统的聚类-支持向量机集成方法
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896514
Dong Liang, Qinrang Liu, Bo Zhao, Zhihua Zhu, Dongpei Liu
Intrusion detection system(IDS) plays an important role in the cyberspace security. With the rapid development of Internet today, the network traffics to be processed by IDS has many redundant and irrelevant characteristics. Meanwhile, the amount of the network traffics to be processed is very large, which will affect the identification effect of IDS. This paper presents a method which integrates clustering algorithm with support vector machine to improve the accuracy and recognition rate of IDS. Firstly, the preprocessed data is processed by clustering algorithm and divided into several subsets, and then machine learning algorithm is used to model each subset. We compared our method with other state-of-the-art algorithms, and the experimental results showed that our method greatly reduced the training time of the model, and effectively improved the performance of the model.
入侵检测系统在网络空间安全中起着重要的作用。在Internet高速发展的今天,IDS处理的网络流量具有许多冗余和不相关的特征。同时,需要处理的网络流量非常大,会影响IDS的识别效果。本文提出了一种将聚类算法与支持向量机相结合的方法来提高入侵检测的准确率和识别率。首先通过聚类算法对预处理后的数据进行处理,将其划分为多个子集,然后利用机器学习算法对每个子集进行建模。我们将我们的方法与其他最先进的算法进行了比较,实验结果表明,我们的方法大大减少了模型的训练时间,有效地提高了模型的性能。
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引用次数: 8
An Optimized Commutation Method for Sensorless Brushless DC Motor Based on Back Electromotive Force Using Backpropogation Neural Network 基于反向电动势的无刷直流电机反向传播神经网络优化换相方法
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896360
Yuxiang Liu, Zhaohui Wu, Bin Li, Fang Yuan, Zhaolin Yao, Xu Zhang
In this paper, an optimized commutation method based on BP neural network is proposed to solve the problem of slow response, large overshoot and power dissipation caused by algorithm deviation in conventional commutation strategy based on back electromotive force method. Performance of different commutation methods is compared by simulation. Experiment results show that the proposed method can realize a good commutation performance, with a 0.8% power deviation and a 15.906 mean square error compared with ideal condition, which improves 275 times than conventional strategy, 42 times than conventional Neural Network based strategy and has a better stability. The proposed method has better compensation ability for fixed errors such as signal transmission delay, signal filtering delay and motor armature effect at the same time.
针对基于反电动势法的传统换相策略由于算法偏差导致的响应慢、超调量大、功耗大等问题,提出了一种基于BP神经网络的优化换相方法。通过仿真比较了不同换相方法的性能。实验结果表明,该方法可以实现良好的换相性能,与理想状态相比,功率偏差为0.8%,均方误差为15.906,比传统策略提高275倍,比传统基于神经网络的策略提高42倍,并且具有更好的稳定性。该方法同时对信号传输延迟、信号滤波延迟和电机电枢效应等固定误差具有较好的补偿能力。
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引用次数: 0
A New Automatic Approach to Distinguish Myocardial Infarction Based on LSTM 基于LSTM的心肌梗死自动识别新方法
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896550
Xingjin Zhang, Runchuan Li, Qingyan Hu, Bing Zhou, Zongmin Wang
Myocardial Infarction (MI) has the characteristics of rapid development and poor prognosis. Early intervention is of great significance in relieving pain and preventing death. For reducing the misdiagnosis rate of MI, a novel classification approach of MI based on a long short term memory (LSTM) is proposed in this paper. Firstly, the original electrocardiogram (ECG) signal is preprocessed, and then it is divided into a heartbeat sequence. Then the heartbeat sequence is input into the deep neural network model for training and learning. Finally, the validity of the method is verified on the Physikalisch-Technische Bundesanstalt (PTB) ECG database. The accuracy of the method is 99.91%. The experimental results show that the classification accuracy of the proposed method is superior to the other methods.
心肌梗死(MI)具有发展快、预后差的特点。早期干预对缓解疼痛、预防死亡具有重要意义。为了降低心肌梗死的误诊率,本文提出了一种基于长短期记忆(LSTM)的心肌梗死分类方法。首先对原始心电图信号进行预处理,然后将其分割成一个心跳序列。然后将心跳序列输入深度神经网络模型进行训练和学习。最后,在PTB心电数据库上验证了该方法的有效性。该方法的准确度为99.91%。实验结果表明,该方法的分类精度优于其他方法。
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引用次数: 5
Study on SOC Estimation of Lithium Battery Based on Improved BP Neural Network 基于改进BP神经网络的锂电池荷电状态估计研究
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896605
Y. Hu, Zhiping Wang
In this paper, the state of charge (SOC) is estimated by charging the battery at constant current and voltage, collecting the current, voltage, temperature and internal resistance during the experiment. The influence of internal resistance on SOC prediction of lithium batteries is mainly considered. In this paper, the Improved BP neural network is used to carry out simulation experiments. The experimental results show that the prediction accuracy is higher and the simulation effect is better than that without considering the internal resistance.
本文通过对电池进行恒流恒压充电,收集实验过程中的电流、电压、温度和内阻,来估算电池的荷电状态(SOC)。主要考虑了内阻对锂电池荷电状态预测的影响。本文采用改进的BP神经网络进行仿真实验。实验结果表明,与不考虑内阻时相比,该方法的预测精度更高,仿真效果更好。
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引用次数: 9
Integrated Design of Power Amplifier and Saw Filters for Reconfigurable RF Front-end 可重构射频前端的功率放大器与Saw滤波器集成设计
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896447
Bei Li, Zhaohui Wu, J. Deng, D. Dai, Bin Li, Qiang Su, Yangyang Peng
In order to make the RF front-end more compact and efficient, a chip integrating surface acoustic wave (SAW) filters and a reconfigurable multi-frequency multi-mode power amplifier (MMPA) was designed. Taped out and the test results showed that: the EUTRAACLR1 of the integrated chip is decreased by 0.54dBc compared to the discrete connections, the UTRAACLR1 is decreased by 1.33dBc, the ICC is decreased by 43.5mA, the PAE is increased by 0.55% and the Gain is increased by 0.32dB. Reliability Electrostatic test and aging test meet the production requirements.
为了使射频前端更加紧凑和高效,设计了一种集成表面声波(SAW)滤波器和可重构多频多模功率放大器的芯片。测试结果表明:集成芯片的EUTRAACLR1与离散连接相比降低了0.54dBc, UTRAACLR1降低了1.33dBc, ICC降低了43.5mA, PAE提高了0.55%,增益提高了0.32dB。可靠性静电试验和老化试验满足生产要求。
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引用次数: 0
Application of Artificial Intelligence Technology in Short-range Logistics Drones 人工智能技术在短程物流无人机中的应用
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896417
H. Hua, Zhen Zhang
With the increasing demand for logistics in China, the shortcomings of the current short-range logistics field are inefficient, and the occupation of labor is becoming more and more obvious. The proportion of the personnel engaged in production and the transportation personnel who ensure the flow of materials continues to increase, and the production efficiency of the total social labor force continues to decline. In this paper, combined with artificial intelligence related technology, a special drone design scheme is proposed instead of short-distance logistics distributors, aiming at adjusting short-range logistics links, improving logistics efficiency, and optimizing related logistics processes to reduce the need of number of workers to ensure the normal transportation of logistics.
随着中国对物流需求的不断增加,目前短程物流领域的缺点是效率低下,对劳动力的占用也越来越明显。从事生产的人员和保证物资流动的运输人员所占比例不断增加,社会总劳动力的生产效率不断下降。本文结合人工智能相关技术,提出了一种特殊的无人机设计方案来代替短距离物流配送员,旨在调整短距离物流环节,提高物流效率,优化相关物流流程,减少对工人数量的需求,保证物流的正常运输。
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引用次数: 5
Design, Fabrication, and Testing of a Liquid Cooling Platform for High Power 3D-ICs 大功率3d - ic液体冷却平台的设计、制造和测试
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896611
Chandrasekhar Mandalapu, I. Abdel-Motaleb, Sangki Hong, R. Patti
3D integrated circuit (3D-IC) technology gained acceptance due to the ability to achieve extremely high level of integration, where hundreds of ICs are stacked vertically. Such level of integration can result in local power dissipation of more than 50 kW/cm2. This will lead to instant evaporation of the IC, unless an effective cooling technique is employed. Liquid cooling may be one of the most effective techniques for this task. To investigate the effectiveness of this technique, we designed, built and tested a testing platform. The platform includes a testing chip and a cooling module. The test chip contains heaters to provide the power and sensors to measure the local temperature. The study shows that the proposed cooling modules can reduce the temperature for a 420W/inch square circuits to a normal operating range of ICs of 39-50 ˚C, using 2 phase R22 liquid coolant.
3D集成电路(3D- ic)技术由于能够实现极高的集成水平而获得认可,其中数百个ic垂直堆叠。这种集成度可导致局部功耗超过50 kW/cm2。这将导致集成电路的瞬间蒸发,除非采用有效的冷却技术。液体冷却可能是完成这项任务最有效的技术之一。为了研究该技术的有效性,我们设计、构建并测试了一个测试平台。该平台包括一个测试芯片和一个冷却模块。测试芯片包含加热器来提供电源和传感器来测量局部温度。研究表明,采用2相R22液体冷却剂,所提出的冷却模块可以将420W/inch平方电路的温度降低到39-50˚C的正常工作范围。
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引用次数: 5
Effect of P-type Guard ring on the Turn-on Characteristics of Diode-triggered SCR p型保护环对二极管触发可控硅导通特性的影响
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896382
Feibo Du, Zhiwei Liu, J. Liou
In this paper, the influence of inner p-type guard ring (PGR) on the triggering characteristics of diode-triggered silicon-controlled rectifier (DTSCR) is studied. The ESD characteristics of conventional DTSCR with and without inner PGR are measured with the transmission line pulsing (TLP) tester. The results indicate that lower trigger voltage of DTSCR can be obtained by floating the internal PGR, which enhances the current conduction ability of the parasitic SCR in DTSCR essentially. A stronger parasitic SCR can provide a current discharge path with lower resistance before the main SCR is turned on, thus reducing the trigger voltage of the device. Furthermore, two improved structures of DTSCR are also considered, which further confirms the auxiliary triggering effect of parasitic SCR or parasitic PNPNPN structure in these devices.
本文研究了内p型保护环(PGR)对二极管触发的可控硅整流器(DTSCR)触发特性的影响。利用传输线脉冲(TLP)测试仪测量了带和不带PGR的传统DTSCR的ESD特性。结果表明,通过浮动内部PGR可以获得较低的触发电压,从根本上提高了寄生晶闸管在DTSCR中的导流能力。更强的寄生可控硅可以在主可控硅导通之前提供具有更低电阻的电流放电路径,从而降低器件的触发电压。此外,还考虑了两种改进的DTSCR结构,进一步证实了寄生SCR或寄生PNPNPN结构在这些器件中的辅助触发作用。
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引用次数: 0
期刊
2019 8th International Symposium on Next Generation Electronics (ISNE)
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