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2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)最新文献

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An Improved DFT Frequency Offset Estimation Algorithm With High Accuracy 一种改进的高精度DFT频偏估计算法
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729498
Tianqi Li, Yu Zhang, Bo Tang
{"title":"An Improved DFT Frequency Offset Estimation Algorithm With High Accuracy","authors":"Tianqi Li, Yu Zhang, Bo Tang","doi":"10.1109/ITNEC.2019.8729498","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729498","url":null,"abstract":"Aiming at the problem that the accuracy of high frequency offset estimation is generally not high, this paper introduces the main current frequency offset estimation algorithm and proposes an improved DFT frequency offset estimation algorithm. Combining the basic thought of Zoom-FFT, the defects and deficiencies of the specific implementation of Candan algorithm are improved, and the problem of limited estimation range of Candan algorithm is solved. The simulation results show that the accuracy of the algorithm is greatly improved and the anti-noise performance is obviously improved. Although the process of refinement frequency and resampling makes the calculation amount of the algorithm increase, the engineering implementation is still acceptable. The performance of this algorithm is better than some DFT algorithms, which provides more accurate recognition conditions for the next step of signal research.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131492612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
SQL Database with physical database tuning technique and NoSQL graph database comparisons SQL数据库与物理数据库调优技术和NoSQL图数据库比较
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729264
Wisal Khan, Waqas Ahmad, Bin Luo, E. Ahmed
{"title":"SQL Database with physical database tuning technique and NoSQL graph database comparisons","authors":"Wisal Khan, Waqas Ahmad, Bin Luo, E. Ahmed","doi":"10.1109/ITNEC.2019.8729264","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729264","url":null,"abstract":"Relational databases are used in many organizations of various natures from last three decades such as Education, health, businesses and in many other applications. SQL databases are designed to manage structured data and show tremendous performance. Atomicity, Consistency Isolation, Durability (ACID) property of Relational databases is used to manage data integrity and consistency. Physical database techniques are used to increase the performance of relational databases. Tablespaces also called subfolder is one of the physical database technique used by Oracle SQL database. Tablespaces are used to store the data logically in separate data files. Now-a-days huge amount and varied nature (unstructured and semi structured) of data is generated by the various organizations i.e., videos, images, blogs etc. This large amount of data is not handled by the SQL databases efficiently. NoSQL databases are used to process and analyze the large amount of data efficiently. Four different types of NoSQL databases are used in the industry according to the organization requirement. In this article, first, we do the physical database tuning of the Oracle Relational database and then compared with NoSQL Graph database. Relational database performance is increased up to 50% due to physical database tuning technique (Tablespaces). Besides, physical database tuning approach of relational database NoSQL graph database performed better in all our proposed scenarios.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131651816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
An Improved Back Projection Based Algorithm For CT Reconstruction 一种改进的基于反投影的CT重建算法
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729333
Yiming Jiang, J. Zou, Xiaodong Hu
{"title":"An Improved Back Projection Based Algorithm For CT Reconstruction","authors":"Yiming Jiang, J. Zou, Xiaodong Hu","doi":"10.1109/ITNEC.2019.8729333","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729333","url":null,"abstract":"This paper analyzes the principle of general CT reconstruction. By comparing and combining the FBP and ART reconstruction algorithms, an improved algorithm of direct solution for CT reconstruction is studied. It is on the base of back projection method and the result satisfies the ART algebraic equations. The method should be used to obtain accurate CT reconstruction results without any iteration. It is a direct solution method.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134191321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Braking Evaluation of Integrated Electronic Hydraulic Brake System Equipped in Electric Vehicle 电动汽车集成电子液压制动系统制动性能评价
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729155
Chao Li, Chengkun He, Ye Yuan, Junzhi Zhang
{"title":"Braking Evaluation of Integrated Electronic Hydraulic Brake System Equipped in Electric Vehicle","authors":"Chao Li, Chengkun He, Ye Yuan, Junzhi Zhang","doi":"10.1109/ITNEC.2019.8729155","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729155","url":null,"abstract":"Brake-by-wire system is becoming the vital actuating component in electrified vehicles and autonomous vehicles. This paper proposes a newly designed electronic hydraulic brake control system integrated with the featured specialties including regenerative and anti-lock braking control. The running principle behind the electronic hydraulic brake control system is studied in detail to illustrate the different usages when adapted to various braking conditions. To coordinate with the electromechanical system, a combined braking control strategy is presented. A complete electric vehicle simulation system is built on basis of MATLAB/Simulink, AMESim and CarSim, and the simulation is carried out in two typical scenarios of regenerative and anti-lock braking process. The simulation results show the proposed integrated electronic hydraulic brake system has the effectiveness in the performance evaluation of energy recovery and emergency braking conditions.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114359957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
High-fidelity Symbol Synchronization for Specific Emitter Identification 特定发射机识别的高保真符号同步
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729181
Yiwei Pan, Hua Peng, Tianyun Li, Wenya Wang
{"title":"High-fidelity Symbol Synchronization for Specific Emitter Identification","authors":"Yiwei Pan, Hua Peng, Tianyun Li, Wenya Wang","doi":"10.1109/ITNEC.2019.8729181","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729181","url":null,"abstract":"Specific emitter identification (SEI) provides the capability to distinguish radio emitters with the external features carried by the received waveforms. Since the differences between emitters are very subtle, the fidelity of signal processing may affect the identification accuracy. In this paper, we propose a high-fidelity symbol synchronization approach to depress the processing errors introduced by demodulation. First, two existing problems of timing recovery are pointed out in SEI scenario. Thereafter, we present a window-based interpolator and a feedforward decision-directed timing estimator to address these problems. Simulation results show that our approach effectively depresses the processing errors compared with the existing methods. Furthermore, it achieves a better performance of SEI.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134317163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Social Network Group Identification based on Local Attribute Community Detection 基于局部属性社区检测的社会网络群体识别
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729078
Zhu Jie, You-Hong Li, Ruobing Liu
{"title":"Social Network Group Identification based on Local Attribute Community Detection","authors":"Zhu Jie, You-Hong Li, Ruobing Liu","doi":"10.1109/ITNEC.2019.8729078","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729078","url":null,"abstract":"Online social network has become an important platform for people's daily communication, information dissemination and sharing. The similarity of attribute characteristics such as content and behavior is very important to evolution and control of social network groups. Therefore, it is a challenge to consider the topology and attributes of network nodes in community identification effectively. In this paper, a social group identification method based on local attribute community detection (LA-CD) is proposed. a novel node pair similarity framework is proposed, and a novel local similarity distance factor is defined. It can eliminate the problem that the local similarity of nodes is too large due to the large number of adjacent nodes, and prevent the situation that having more neighbor sets can get lower local similarity values instead. Experiments on several real attributed ego-networks and artificial benchmark networks show that LA-CD can discover more real and effective network community than other state-of the-art approaches.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121674542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
An Integrated Vector Control Strategy for BLDC Current 无刷直流电流的集成矢量控制策略
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729224
P. Luo, Jinqiang Xu, Hong‐Jun Liu, Haoen Huang, Yanxia Yang, Yue Yu
{"title":"An Integrated Vector Control Strategy for BLDC Current","authors":"P. Luo, Jinqiang Xu, Hong‐Jun Liu, Haoen Huang, Yanxia Yang, Yue Yu","doi":"10.1109/ITNEC.2019.8729224","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729224","url":null,"abstract":"To improve the flux-weakening capability of a brushless DC motor (BLDC) with trapezoidal wave, here is a 120° conduction square wave control stratgey. In this paper, a novel current integrated vector control strategy is proposed based on stator current prime vector. The vector control mode controls amperages that flow through the vertical and straight axes of BLDC under rotor flux orientation reference axis system and regulates the speed by combination with voltage vector modulation. A BLDC vector control system including flux-weakening control is built. In the end, in the simulation system for the 120° BLDC vector control, it is proved that the current integrated vector control strategy has a good control effect and realizes the flux-weakening control of the BLDC at the base speed or above.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123904188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Transfer Learning with Efficient Convolutional Neural Networks for Fruit Recognition 基于高效卷积神经网络的水果识别迁移学习
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729435
Ziliang Huang, Yan Cao, Tianbao Wang
{"title":"Transfer Learning with Efficient Convolutional Neural Networks for Fruit Recognition","authors":"Ziliang Huang, Yan Cao, Tianbao Wang","doi":"10.1109/ITNEC.2019.8729435","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729435","url":null,"abstract":"An efficient and effective image based fruit recognition network is critical for supporting mobile application in reality. This paper presents a method to recognize fruit faster and more accurately by using the transfer learning technique. The proposed network performs depthwise separable convolution with thinner factor to reduce the size of vanilla network and improve the performance by adapting global depthwise convolution. Additionally, we make a simple analysis on how those methods reduce the parameters and the cost of computation in training process. In order to test the accuracy and enhance the robustness of the model, we use Fruits-360 dataset which contains 55244 images spread across 81 classes. The experimental results demonstrate that our proposed network is superior to three previous state-of-the-art networks. Moreover, our model has a higher accuracy than the vanilla model with the same thinner factor.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131517500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Feature Correlation Loss in Convolutional Neural Networks for Image Classification 卷积神经网络图像分类中的特征相关损失
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729534
Jiahuan Zhou, Di Xiao, Mengyi Zhang
{"title":"Feature Correlation Loss in Convolutional Neural Networks for Image Classification","authors":"Jiahuan Zhou, Di Xiao, Mengyi Zhang","doi":"10.1109/ITNEC.2019.8729534","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729534","url":null,"abstract":"Feature maps in Convolutional neural networks are extracted automatically with some initialization methods and training strategies, which greatly economizes the cost of feature engineering. However, correlation between feature maps are not considered in common networks, resulting in the increase of redundant feature maps with the networks becoming more complicated. In this work, we proposed the correlation layer and designed the correlation loss, which can compute the correlation coefficient matrix of the feature maps in the last convolutional layer and optimize the weights distribution respectively. In the training phase, 2 strategies, namely the supervision and initialization are studied with Gaussian and He initialization methods for the baseline. The experimental results on CIFAR-10 dataset demonstrated that the supervision strategy for the multi-task training could efficiently reduce the correlation between the feature maps learned and increase the classification accuracy from 0.39% to 1.14% on the test set.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131693826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Deep Learning Midcourse Guidance for Interceptor Missile 拦截导弹中段深度学习制导
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729311
Liming Huang, W. Chen
{"title":"Deep Learning Midcourse Guidance for Interceptor Missile","authors":"Liming Huang, W. Chen","doi":"10.1109/ITNEC.2019.8729311","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729311","url":null,"abstract":"A midcourse guidance method of interceptor missile based on Long Short-Term Memory deep learning networks is studied in this paper. Comparing with the guidance method using traditional neural networks, the miss distance of this method is significantly reduced. In the simulation process, the real-time states of interceptor missile are taken as the inputs of deep learning networks, and the trajectory integration is carried out with the output vector. Moreover, the guidance method is improved by changing three characters: the density of the selected sample trajectory, the size of the sample airspace and the size of the simulation airspace. Also, simulations of the trajectories pointing to the random prediction intercept points selected in a certain simulation space are carried out. Different deep learning guidance rules should be selected according to different application conditions.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124383578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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