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2019 International Conference on Engineering and Telecommunication (EnT)最新文献

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Classification of Wafer Maps Defect Based on Deep Learning Methods With Small Amount of Data 基于小数据深度学习的晶圆图缺陷分类
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030550
Kudrov Maksim, Bukharov Kirill, Zakharov Eduard, Grishin Nikita, Bazzaev Aleksandr, Lozhkina Arina, S. Vladislav, Makhotkin Daniil, Krivoshein Nikolay
This paper attempts to solve the problem of defect classification for the purpose of automation of the processing of flaw detection results. Article proposes an algorithm based on deep convolutional neural networks (DCNN) for recognizing patterns of defects in semiconductor wafers. In order to train the model, a composite training data set was created and applied. Its basis consists of synthetic data and an extra small amount of experimental data including about 20 examples. Verification of the work was carried out on an open data set WM-811K. The resulting classification accuracy is about 87.8%. This is a satisfactory result from a practical point of view. The developed algorithms can be used both in software systems for data analysis in the production of semiconductor wafers, as well as part of separate software modules for electronic flaw detectors.
本文试图解决缺陷分类问题,以实现缺陷检测结果处理的自动化。提出了一种基于深度卷积神经网络(DCNN)的半导体晶圆缺陷模式识别算法。为了对模型进行训练,建立并应用了一个复合训练数据集。它的基础由合成数据和额外的少量实验数据组成,包括大约20个例子。在一个开放数据集WM-811K上对工作进行了验证。所得分类准确率约为87.8%。从实用的角度来看,这是一个令人满意的结果。所开发的算法既可用于半导体晶圆生产中的数据分析软件系统,也可用于电子探伤仪的单独软件模块。
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引用次数: 24
Statistical compaction of a monitoring cloud cluster resource when processing streaming services 处理流服务时监控云集群资源的统计压缩
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030598
Alexey Nazarov, A. Sychev, Alireza Nik Aein Koupaei, S. Ojha, Himanshu Rai
The scientific problem of developing a method of statistical compaction of the necessary cloud resource in the processing of streaming services in the interests of monitoring systems for various purposes is formulated and solved. The method allows you to determine the number of virtual connections for different services that can be processed in a cloud cluster with a given quality, taking into account, on the one hand, the flow of requests from sources of different services for the provision of virtual connections, and, on the other hand, the needs of these same services transfer rates, taking into Analytical relations for calculation of necessary productivity of a cloud cluster at the set value of probability of loss of a micropackage of streams of DStream are received.
制定并解决了为各种目的的监控系统开发流服务处理中必要云资源的统计压缩方法的科学问题。该方法允许您确定在给定质量的云集群中可以处理的不同服务的虚拟连接的数量,一方面考虑到提供虚拟连接的不同服务来源的请求流,另一方面考虑到这些相同服务传输速率的需求。考虑在微包丢失概率设定值下计算云集群的必要生产力的解析关系,接收到DStream的流。
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引用次数: 3
Determination of the Interfering Signal Field Strength near a TV Receiver 电视接收机附近干扰信号场强的测定
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030536
V. Petuhov, A. Dvorkovich, A. Ivchenko
This paper presents the adaptation of the main methodology proposed by the International Telecommunication Union for prediction, evaluation and measurement of the interference on the receiver from other TV broadcasting services, including information of the protection criteria, the estimation of interfering signal field strength near the receiver, as well as modeling the results of the adapted technique.
本文介绍了国际电信联盟提出的用于预测、评估和测量其他电视广播业务对接收机的干扰的主要方法的改编,包括保护标准的信息,接收机附近干扰信号场强的估计,以及改编技术的结果建模。
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引用次数: 0
Single-Channel 8K Ultra-high Definition Digital Television Transmission Using Polarization Diversity 利用极化分集的单通道8K超高清数字电视传输
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030528
Hanqing Li, Changyong Pan, Hui Yang, Chao Zhang, Chang-Yu Zhao
This paper introduces a digital television transmission system using polarization diversity. The system can double the transmission rate by using several sets of orthogonally polarized antennas to transmit two digital television signals. The orthogonal polarization isolation XPI of the polarized antenna is measured to be about 20-23 dB. The signal can be transmitted normally without mosaic when receiving outdoors. The data rate is 79.2 Mb/s, which meets the requirements of 8K resolution ultra-high definition digital TV transmission.
介绍了一种利用极化分集技术的数字电视传输系统。该系统利用多组正交极化天线传输两个数字电视信号,使传输速率提高一倍。极化天线的正交极化隔离XPI约为20 ~ 23 dB。室外接收时,信号可正常传输,无马赛克。数据传输速率为79.2 Mb/s,满足8K分辨率超高清数字电视传输要求。
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引用次数: 1
Protocol for Secure and Reliable Data Transmission in MANET based on Modular Arithmetic 基于模块化算法的MANET安全可靠数据传输协议
Pub Date : 2019-11-01 DOI: 10.1109/EnT47717.2019.9030580
M. Deryabin, M. Babenko, A. Nazarov, N. Kucherov, Aleksandr Karachevtsev, Arseny Glotov, I. Vashchenko
Mobile Ad-Hoc Networks is gaining ground due to the proliferation of simple low-power devices and the introduction of the concepts of the Internet of Things, smart city, and smart manufacturing. It makes the problem of data protection and ensuring the reliability of communications in such networks important for a solution in the near future. In this paper, it is proposed that MANET ensure the reliability and security of communications based on the Redundant Residue Number System (RRNS). This approach is distinguished by its versatility, which consists in the ability to control data integrity and implement computationally secure secret sharing simultaneously based on Residue Number System (RNS). Distributed representation of data in the RNS in combination with multi-path routing solves several MANET problems related to the confidentiality, availability, and integrity of the transmitted data. The work shows that the use of special algorithms for encoding and decoding data in RNS also allows achieving high performance relative to well-known analogs.
由于简单低功耗设备的普及以及物联网、智慧城市和智能制造概念的引入,移动自组织网络正在取得进展。在不久的将来,数据保护和确保此类网络通信可靠性的问题将成为重要的解决方案。本文提出了基于冗余剩余数系统(RRNS)的MANET保证通信的可靠性和安全性。该方法的特点是其通用性,即能够同时控制数据完整性和实现基于剩余数系统(RNS)的计算安全秘密共享。RNS中数据的分布式表示与多路径路由相结合,解决了与传输数据的机密性、可用性和完整性相关的几个MANET问题。这项工作表明,在RNS中使用特殊的编码和解码算法也可以实现相对于已知的类似物的高性能。
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引用次数: 4
GaborNet: Gabor filters with learnable parameters in deep convolutional neural network 深度卷积神经网络中具有可学习参数的Gabor滤波器
Pub Date : 2019-04-30 DOI: 10.1109/EnT47717.2019.9030571
Andrey Sergeevich Alekseev, Anatoly Bobe
The article describes a system for image recognition using deep convolutional neural networks. Modified network architecture is proposed that focuses on improving convergence and reducing training complexity. The filters in the first layer of the network are constrained to fit the Gabor function. The parameters of Gabor functions are learnable and are updated by standard backpropagation techniques. The system was implemented on Python, tested on several datasets and outperformed the common convolutional networks.
本文介绍了一种基于深度卷积神经网络的图像识别系统。提出了改进的网络结构,以提高收敛性和降低训练复杂度为重点。网络第一层的滤波器被约束以拟合Gabor函数。Gabor函数的参数是可学习的,并通过标准的反向传播技术进行更新。该系统在Python上实现,在多个数据集上进行了测试,并优于常见的卷积网络。
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引用次数: 49
Application of dipole antennas for perspective vehicle-board systems and complexes 偶极子天线在透视车载系统及复合系统中的应用
Pub Date : 2018-11-01 DOI: 10.1109/EnT47717.2019.9030543
E. Gadzhiev, A. Generalov, Mirzabek Salikhov, V. Skripachev, Okunev Evgeniy, Alexander Zhukov
At present, there is a need for vehicle-board antenna system of telecommand system. The antenna system includes the receiving antennas, transmitting antennas, power dividers and a cable network. In this paper the antenna system of telecommand system for space vehicles of series “Canopus-V” is designed and presented. In addition to receiving and transmitting antennas, testing complex for full-scale test has been developed. In this paper the results of measurement of voltage standing-wave ratio, radiation pattern, gain of vehicle-board antennas are presented. The obtained results satisfy the technical task for the antenna system for vehicle-board equipment telecommand system.
目前,通信系统需要车载天线系统。天线系统包括接收天线、发射天线、功率分配器和电缆网络。设计并介绍了Canopus-V系列航天飞行器遥控系统的天线系统。除了接收和发射天线外,还开发了用于全尺寸测试的测试综合体。本文介绍了车载天线电压驻波比、辐射方向图和增益的测量结果。所得结果满足车载设备遥控系统天线系统的技术要求。
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引用次数: 4
期刊
2019 International Conference on Engineering and Telecommunication (EnT)
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