2022 12th International Conference on Advanced Computer Information Technologies (ACIT)最新文献_第3页

Research Study on the Use of CI/CD Among Slovak Students 斯洛伐克学生使用CI/CD的调查研究

2022 12th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2022-09-26 DOI: 10.1109/ACIT54803.2022.9913113

Nikoleta Hroncova, Pavle Dakić

引用次数: 2

Single-Phase Fault Detection Based on GCN-TCN Sparse-Attention Model 基于GCN-TCN稀疏关注模型的单相故障检测

2022 12th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2022-09-26 DOI: 10.1109/ACIT54803.2022.9913084

Ouyang Yong, Wan Dou, Gao Rong, Z. Ye, O. Kochan

{"title":"Single-Phase Fault Detection Based on GCN-TCN Sparse-Attention Model","authors":"Ouyang Yong, Wan Dou, Gao Rong, Z. Ye, O. Kochan","doi":"10.1109/ACIT54803.2022.9913084","DOIUrl":"https://doi.org/10.1109/ACIT54803.2022.9913084","url":null,"abstract":"Effective extraction of fault current features is the problem facing single phase fault detection in distribution networks. We propose a hybrid neural network model based on the GCN-TCN sparse attention mechanism (GTHNN-SA) to solve this problem. Specifically, this model uses the convolutional graph network (GCN) to perform graph convolution operation on the graph data established by the fault line transient zero-sequence current, extract the spatial characteristics of the zero-sequence current data with the fault location relationship, use the temporal convolution network (TCN) to extract the temporal characteristics both of threephase currents and new data generated by GAN. Then fuse and input the three feature matrices to the sparse attention mechanism to highlight essential features of current data. Finally, the output of parse-attention is input to the entire connected layer for classification. This model enables us to learn the current data relationship between different waveform faults more comprehensively, and the proposed method has a good effect on single-phase fault detection in distribution networks.","PeriodicalId":431250,"journal":{"name":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128281862","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

SECTION 6: Information Technology in Education 第6节:教育中的信息技术

2022 12th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2022-09-26 DOI: 10.1109/acit54803.2022.9913142

引用次数: 0

Automatic License Plate Recognition Using OpenCV 使用OpenCV的自动车牌识别

2022 12th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2022-09-26 DOI: 10.1109/ACIT54803.2022.9913168

M. Kročka, Pavle Dakić, V. Vranić

{"title":"Automatic License Plate Recognition Using OpenCV","authors":"M. Kročka, Pavle Dakić, V. Vranić","doi":"10.1109/ACIT54803.2022.9913168","DOIUrl":"https://doi.org/10.1109/ACIT54803.2022.9913168","url":null,"abstract":"Automatic license plate recognition is a technology that relies on optical character recognition methods used on images for reading license plate text. These techniques are, in general, used with image processing techniques, whether the system is composed of them entirely or in addition to deep learning techniques and neural network models. Such a system can be used by CCTV cameras, smart cameras, and other such devices, for tasks in areas like law enforcement, toll collection systems, or parking lot ticket systems. These systems can be used to capture images, locate license plates and recognize the text from the license plate. Depending on the region, post-processing can be conducted to further refine the recognized text based on a set of predefined rules, such as the position of letters and numbers in the license plate string. This work aims to create an automatic license plate recognition system with the use of image processing techniques, mainly from the OpenCV python library. The system will attempt to recognize license plate text from vehicles parked in parking lots. This can be useful for people, who do not remember the place where they parked their vehicle, or in other areas such as law enforcement. For large parking lots, there are generally camera systems already in place, in this case, the system should be able to work with multiple angles and views of the parking lot to get results with the highest accuracy ratings.","PeriodicalId":431250,"journal":{"name":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125444574","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

Text Mining for the Analysis of Legal Texts 用于法律文本分析的文本挖掘

2022 12th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2022-09-26 DOI: 10.1109/ACIT54803.2022.9913169

Olha Kovalchuk, S. Banakh, M. Masonkova, K. Berezka, Serhii Mokhun, O. Fedchyshyn

{"title":"Text Mining for the Analysis of Legal Texts","authors":"Olha Kovalchuk, S. Banakh, M. Masonkova, K. Berezka, Serhii Mokhun, O. Fedchyshyn","doi":"10.1109/ACIT54803.2022.9913169","DOIUrl":"https://doi.org/10.1109/ACIT54803.2022.9913169","url":null,"abstract":"Words are the main tool of a lawyer. The analysis of a large amount of textual information makes up the lion's share of legal practice, in particular, when creating an evidence base in criminal proceedings, analyzing pre-trial decisions, analyzing court decisions in similar cases, observing judicial precedent, etc. There are many answers to essential questions hidden in these documents. Every year, the number of legal and law-related electronic text documents that need to be quickly and efficiently analyzed is growing exponentially. Using powerful Text Mining tools will help you discover important legal information and make the right legal decisions.Automatic text classification is one of the most effective tools for finding and analyzing information in jurisprudence. This article presents a Decision tree model using the Chi-square Automatic Interaction Detector (CHAID) growing method for classifying legal texts. A model for automatic classification of text documents related to criminal proceedings has been developed for the dataset of 1,800 text documents used in court proceedings in Ukraine from 2000 to 2020.","PeriodicalId":431250,"journal":{"name":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126708422","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

Preliminary Estimation of war Impact in Ukraine on the Global Air Transportation 乌克兰战争对全球航空运输影响的初步估计

2022 12th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2022-09-26 DOI: 10.1109/ACIT54803.2022.9913092

I. Ostroumov, O. Ivashchuk, N. Kuzmenko

{"title":"Preliminary Estimation of war Impact in Ukraine on the Global Air Transportation","authors":"I. Ostroumov, O. Ivashchuk, N. Kuzmenko","doi":"10.1109/ACIT54803.2022.9913092","DOIUrl":"https://doi.org/10.1109/ACIT54803.2022.9913092","url":null,"abstract":"Russian military invasion of Ukraine on 24 February 2022 caused the closing of Ukrainian airspace for civil aviation and limited the use of Belarusian and Russian airspaces. The geometry of closed airspace location makes a serious impact on the global air transportation system. Many flights have been canceled due to closed airspace and special restrictions on the airlines. Also, trajectories of transit flights have been re-planned to avoid entering the closed airspace. All closed airspaces together make a barrier along the Eastern boundary of the European Union that seriously caused direct flight connections between European airports located above 50th N latitude and Asian airports. Also, a significant impact was on polar flights from North to South directions. In the paper, we provide a preliminary study of the impact of overall closed airspace on global air traffic. Based on a statistical analysis of global air traffic flows a distribution of canceled passenger flights has been predicted for seven weeks. Based on the prediction, accumulated losses in total trajectories length, flight time, available seats, and available seat-kilometer have been estimated for flights connected with closed Ukrainian airports. The problem of transit flights has been evaluated in particular examples. Statistical analysis of efficient and re-planned airplanes trajectories gives mean values for the time of delay and makes it possible to estimate extra fuel consumption. Significant fuel consumption at the re-planned trajectory will cause an increase in tickets prices and increased carbon dioxide emissions.","PeriodicalId":431250,"journal":{"name":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126088275","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

Terrain Image Recognition with Unsupervised Generative Representations: the Effect of Anomalies 基于无监督生成表示的地形图像识别:异常的影响

2022 12th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2022-09-26 DOI: 10.1109/ACIT54803.2022.9913178

P. Prystavka, S. Dolgikh, Oleksandr Kozachuk

{"title":"Terrain Image Recognition with Unsupervised Generative Representations: the Effect of Anomalies","authors":"P. Prystavka, S. Dolgikh, Oleksandr Kozachuk","doi":"10.1109/ACIT54803.2022.9913178","DOIUrl":"https://doi.org/10.1109/ACIT54803.2022.9913178","url":null,"abstract":"Recognition of real-world images plays important role in a rapidly expanding range of applications. In this work we examined characteristics of distributions of classes of aerial images of terrain obtained in real time aerial photography from the perspective of detection and rectification of outliers in the generative latent distributions of image classes. Neural network models of generative self-learning with the architecture of convolutional autoencoder were used for compression of image data and extraction of informative features via selection of most informative principal components. Influence of outliers was examined with respect to distributions of image classes in the informative low-dimensional latent representations and classification performance of models trained in such representations. It was found that removal of outliers results in significantly more compact latent distributions of characteristic types of images, with a positive impact on classification performance. The results can be used in developing methods of learning based on unsupervised generative structure in informative representations in applications and problems with a deficit of training data.","PeriodicalId":431250,"journal":{"name":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"10 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115321317","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

The Assessment of the Impact Investments on the Economic Development of Ukraine Based on Panel Data 基于面板数据的投资对乌克兰经济发展的影响评估

2022 12th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2022-09-26 DOI: 10.1109/ACIT54803.2022.9913200

N. Dziubanovska, V. Maslii

引用次数: 0

The Task of Structural Identification the Interval Models of Static Objects with Multiple Parameters 多参数静态目标区间模型的结构识别任务

2022 12th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2022-09-26 DOI: 10.1109/ACIT54803.2022.9913146

M. Dyvak, A. Pukas, V. Manzhula, O. Papa, Amantius Akimjak, Bogdan Maslyiak

引用次数: 0

Access Distribution to the Evaluation System Based on Fuzzy Logic 基于模糊逻辑的评价系统访问分配

2022 12th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2022-09-26 DOI: 10.1109/ACIT54803.2022.9913107

L. Dubchak, Nadiia Vasylkiv, I. Turchenko, M. Komar, T. Nadvynychna, R. Volner

引用次数: 1