IEEE EUROCON 2021 - 19th International Conference on Smart Technologies最新文献_第9页

Determining a Train Location at Level Crossing Approach Section by Track Circuit Input Impedance Processing Using ANN 利用神经网络进行轨道电路输入阻抗处理，确定平交道口进近段列车位置

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535620

V. Havryliuk

{"title":"Determining a Train Location at Level Crossing Approach Section by Track Circuit Input Impedance Processing Using ANN","authors":"V. Havryliuk","doi":"10.1109/EUROCON52738.2021.9535620","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535620","url":null,"abstract":"The possibility of determining a train location at level crossing approach section by measuring the input impedance of the track circuit with subsequent processing of the results using an artificial neural network has been carried out. The need to measure the coordinates and speed of the train at the section approaching the level crossing is associated with the need to improve traffic safety at the level crossing and reduce the waiting time for a train (especially for a slow moving one) for vehicles. The investigations of the track circuit input impedance dependences on factors such as the train coordinate on it, the resistance of the ballast layer of the track and the frequency of the signal current were carried out by modeling and experimental measurements on a real track circuit. The monotonic dependences of the track circuit input impedance on the train location make it possible to use these dependences to monitor the train location on the track circuit. However, the strong influence of the ballast resistance on the input impedance makes it impossible to directly use the input impedance for positioning the train. Two methods have been considered for determining the coordinates of a train on a track circuit by using its input impedance. The error in determining the train coordinates at the level crossing approach section by processing the track circuit input impedance using ANN shows that this method is promising for practical use.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133897174","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

Synthesis and Applications of Oriented Gaussian FIR Filters 定向高斯FIR滤波器的合成与应用

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535614

R. Matei

引用次数: 1

Fine-Tuning Convolutional Neural Network Based Railway Damage Detection 基于微调卷积神经网络的铁路损伤检测

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535585

A. Aydin, Mehmet Umut Salur, I. Aydin

{"title":"Fine-Tuning Convolutional Neural Network Based Railway Damage Detection","authors":"A. Aydin, Mehmet Umut Salur, I. Aydin","doi":"10.1109/EUROCON52738.2021.9535585","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535585","url":null,"abstract":"Due to the rapid development of the railway industry, the task of checking the fit and defects of rails has become of high importance. The train tracks, which are kilometers long, are obtained with hours of video recording. It is almost impossible to examine the images obtained by one or more human eyes. Even if factors that may affect people (such as discomfort, fatigue) are ignored, we can easily state that the time required for the completion of damage assessment will take weeks or months. During the period of investigation, the condition of serious damage may worsen and undesirable results may occur. Therefore, it will save time and cost if the flaws on the rails are made by a deep learning model instead of being made by humans. At the same time, safety in rail transport will be ensured. We propose a high-performance fine-tuning convolutional neural network model that can be improved with negligible losses by using image data to detect defects that occur depending on time or impact on the rail surfaces they use for the transportation of trains. In our study, a two-step approach is followed. In the first stage, we get cropped images focused on the train tracks instead of the rail image captured with a large area. In the second stage, various convolutional neural network models were applied using the cropped images and the classification was provided. While our model continues to work with high success, it works with increasing parameters that accelerate training, such as batch size, and it works very little or even without any loss of success. Experimental results show that our model is better than previous studies.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126640215","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

Design of a Digital Following System of Welding Robot With a Visual Sensor 带有视觉传感器的焊接机器人数字跟随系统设计

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535643

B. Pryymak, S. Korol, M. Ostroverkhov

引用次数: 0

Method for indirect measurement of the phase capacitance of a distribution substation and the single-phase earth fault current 配电变电所相容和单相接地故障电流的间接测量方法

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535640

A. Neftissov, A. Biloshchytskyi, A. Novozhilov, A. Kislov

引用次数: 0

Control of PV Distributed Systems Based on Three-Phase Triple Inverters to Support Grids with Unbalanced Loads 基于三相三联逆变器支持电网不平衡负荷的光伏分布式系统控制

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535568

V. Pires, D. Foito, A. Cordeiro, J. F. Silva

引用次数: 0

The Power Components Distribution Investigating in Idle Mode of Three-Phase Transformer with Damage Winding 绕组损坏三相变压器怠速工况下功率分量分布研究

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535558

I. Reva, O. Bialobrzheskyi, O. Todorov, M. Bezzub

{"title":"The Power Components Distribution Investigating in Idle Mode of Three-Phase Transformer with Damage Winding","authors":"I. Reva, O. Bialobrzheskyi, O. Todorov, M. Bezzub","doi":"10.1109/EUROCON52738.2021.9535558","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535558","url":null,"abstract":"Transformers in today's network are increasingly affected by distribution generation. Due to significant fluctuations in source primary energy flow arise idling mode in transformer, increasing loss of saturated magnetic circuit. In this regard, the transformer condition monitoring problems arise and are solve, taking into account its power distribution, especially in damages case. Existing studies in most cases are based on the power distribution analysis, or its harmonic components for normal operating condition. The rules for power distribution determining process of three-phase transformer with inter-turn fault in the windings group of one of the phases is proposed. An experimental study the three-phase transformer idling mode was performed on the laboratory equipment. Developed the primary sequence of the conducting an experiment for research and monitoring of three-phase transformer energy performance in idle mode with a damaged winding. The method was used for this purpose - the power harmonic componets distribution analysis of three-phase transformer provided that the determination location of the damage is by infrared measurement. It is noted that the power of harmonics current and voltage, significantly different from the power harmonics in each of the phases transformer and between phases in general. This allows to apply previously known criteria for evaluating the power distortion character as transformer damage indicators. The results of the study can be used as components for a hybrid monitoring and expert system in SmartGrid.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"42 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116129278","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

Heun-King-Werner Method’s based approaches for the solution of the Load Flow Problem 基于Heun-King-Werner方法的潮流问题求解方法

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535618

Laice Neves de Oliveira, F. Freitas, A. P. Oliveira

引用次数: 0

Neural Network Clustering Technology for Cartographic Images Recognition 地图图像识别中的神经网络聚类技术

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535544

V. Zhukovskyy, S. Shatnyi, N. Zhukovska, A. Sverstiuk

引用次数: 5

Convolutional Gated Recurrent Units (CGRU) for Emotion Recognition in Odia Language 卷积门控循环单元(CGRU)在Odia语言情感识别中的应用

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535608

Monorama Swain, B. Maji, Umasankar Das

{"title":"Convolutional Gated Recurrent Units (CGRU) for Emotion Recognition in Odia Language","authors":"Monorama Swain, B. Maji, Umasankar Das","doi":"10.1109/EUROCON52738.2021.9535608","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535608","url":null,"abstract":"India’s enormous dialectal diversity motivates researchers to develop efficient speech emotion databases, speech features, and emotion recognition systems. Odia has a long literary history and rich dialectal variations; proper tools and assets are lacking for getting promising results for emotion analysis tasks. This paper represents a detailed study that includes the creation and evaluation of an Odia speech emotional database along with the design and testing of the accuracy label of the model considered for the emotion recognition basis. The prime objective of our work is to develop a model using Concatenated Convolution Neural Network and Gated Recurrent Unit (CGRU) for speech emotion recognition adopting prosodic and spectral features of a speech signal. Our experiments show that CGRU gives approximately 5.36% and 6.52% better results when compared to CNN and GRU for both the Odia dataset and the benchmark RAVDESS dataset. We also demonstrate that our proposed method outperforms the state-of-art methods on the RAVDESS dataset. From this experimental study we also observed that CGRU perform faster than baseline model (CNN and GRU) thus making it well-suited for use in real-time applications.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116325826","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