2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)最新文献

筛选
英文 中文
On Distributed Multiplication of Large-Scale Matrices 关于大规模矩阵的分布乘法
V. Glushan, Lozovoy A. Yu.
{"title":"On Distributed Multiplication of Large-Scale Matrices","authors":"V. Glushan, Lozovoy A. Yu.","doi":"10.1109/AICT52784.2021.9620434","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620434","url":null,"abstract":"Matrix multiplication is one of the main issues in matrix calculus. The multiplication of small-scale matrices does not cause any difficulties while multiplying of large-scale matrices usually faces many difficulties. In this case, block matrix multiplication is used. Since each block of the resultant matrix is formed independently of all the others, this allows the block matrix multiplication to be executed in parallel, significantly reducing the multiplication time. The article formulates the rules of optimal division of multiplied rectangular matrices into blocks depending on the number of processors used. The method of substantiation and assessment of the time complexity of the formation of the resulting matrix is also presented as well as further improvement of block matrix multiplication is proposed. In case of some kind of rectangular matrices, the process of improvement is reduced to the re-distribution of the elemental rows and columns of the original matrices into several block-rows and block-columns of the multiplied matrices. This leads to a decrease in the dimension of the largest block of the resultant matrix and, consequently, to an acceleration of the multiplication process.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117155799","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
Named Entity Recognition for the Azerbaijani Language 阿塞拜疆语的命名实体识别
Natavan Akhundova
{"title":"Named Entity Recognition for the Azerbaijani Language","authors":"Natavan Akhundova","doi":"10.1109/AICT52784.2021.9620336","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620336","url":null,"abstract":"This research paper focuses on developing a Named Entity Recognition (NER) system for a low-resource language, namely Azerbaijani. The paper develops NER models with two different approaches which are rule-based and machine learning-based approaches and compares the performances of them with familiar and unfamiliar datasets to determine the best approach. The rule-based approach uses statistics as its main technique and brings sufficient results - 70% f-score for both datasets. The second method consists of three models. The first one is obtained by training a model from scratch with Convolution Neural Network (CNN) using Spacy library which results in the best outcome - above 90% f-score for each test dataset. Secondly, a pre-trained multilingual Spacy model is also used to contrast the results, which proves the importance of the domain in which a NER model is trained since this model scored less than 50% in testing. Additionally, a new model has also been trained on top of the multilingual model using training dataset and performs the best in its domain.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115951565","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
Data Network Simulation Model of a Mining Enterprise 某矿山企业数据网络仿真模型
A. Okhrimenko
{"title":"Data Network Simulation Model of a Mining Enterprise","authors":"A. Okhrimenko","doi":"10.1109/AICT52784.2021.9620267","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620267","url":null,"abstract":"The complexity of obtaining analytical estimates of the quality indicators of the data network operating in an open quarry, forced to use the simulation method. The article considers the development of a simulation model of the data network of the mining enterprise to estimate the quality indicators of the network operation. The example of simulation model usage for real production site in open quarry is given. The directions of practical application of the developed model for the mining enterprises and for manufacturers of the automated systems of a mining-transport complex are resulted.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123443077","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
Methods for Emotional Psychotyping of Cyberspace Actors based on Their Digital Footprints 基于数字足迹的网络空间行为者情感心理分型方法
E. Panteleev, L. Gorokhovatskiy, D. Tsarev, A. Surikov
{"title":"Methods for Emotional Psychotyping of Cyberspace Actors based on Their Digital Footprints","authors":"E. Panteleev, L. Gorokhovatskiy, D. Tsarev, A. Surikov","doi":"10.1109/AICT52784.2021.9620335","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620335","url":null,"abstract":"The article proposes an original approach for emotional psychotyping of social network users (actors) based on their digital footprints. Applying the approach results in the assessment of the agentś belonging to 8 emotional classes according to the Heymans - Le Senne typology, which is the psychological basis of our research. We analyze the actorś activities in the format of text messages in cyberspace and propose methods to determine the key criteria such as emotionality, activity, and primacy or secondariness. We analyzed the data of two different groups of a popular Russian Facebook-like social network VK and determined the psychotypes of their active subscribers. We have revealed that in both groups the dominating majority of users (50-60 %) may be classified as “apathetic” and “amorphous The minor part of actors (about 30 %) determine the main activity and emotion dynamics in these communities being “nervous”, “phlegmatic”, and “sanguine”. The scientific novelty of the research lies in the originality of the methods proposed for solving a complex and currently poorly developed problem - determining the character of a person by analyzing their activities in the cyberspace.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128875466","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
AICT 2021 Cover Page AICT 2021封面
{"title":"AICT 2021 Cover Page","authors":"","doi":"10.1109/aict52784.2021.9620290","DOIUrl":"https://doi.org/10.1109/aict52784.2021.9620290","url":null,"abstract":"","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125130744","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信