2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)最新文献_第5页

Metric for Evaluation of Machine Translation Quality on the bases of Edit Distances and Reverse Translation 基于编辑距离和逆向翻译的机器翻译质量评价指标

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620304

V. S. Kornilov, V. Glushan, Lozovoy A. Yu.

{"title":"Metric for Evaluation of Machine Translation Quality on the bases of Edit Distances and Reverse Translation","authors":"V. S. Kornilov, V. Glushan, Lozovoy A. Yu.","doi":"10.1109/AICT52784.2021.9620304","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620304","url":null,"abstract":"The article describes a metric for evaluation of machine translation quality based on edit distances and reverse translation. The object of the research is texts in any alpha languages with different bases (alphabets), as well as their translations into other alphabetic languages. We consider the existing translation evaluation metrics, methods, and algorithms for improving the quality of translation. The developed methods and algorithms for evaluation and improvement of translation quality are presented in the article. We also determined a set of conditions necessary for automatic search for the optimal variant of hybrid machine translation of a text at the grapheme level, including maximum, minimum, and average values of translation lengths, reverse translations, and edit distances between pairs of texts that have the same meaning. We also did a correlation analysis of the compliance of the results of evaluation of the quality of translations of scientific and technical texts with existing methods and the developed method based on reverse translation.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"88 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":"124729070","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 Lexico-Semantic Pattern Extraction Automation Based on the Analysis of Text Corpora 基于文本语料库分析的词典语义模式自动提取

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620334

Vladislav A. Borovin, V. Lanin, L. Lyadova

引用次数: 0

Innovation Ecosystem and Digital Transformation: Linking Two Emerging Agendas through Knowledge 创新生态系统与数字化转型:通过知识连接两个新兴议程

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620240

S. Oliveira, Sandro Trento

引用次数: 0

Combined Energy Harvesting Simulation 联合能量收集模拟

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620314

M. Alahmad, Ammar Ziad Abusal

引用次数: 1

Subword Speech Recognition for Agglutinative Languages 黏着语言的子词语音识别

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620466

Alakbar Valizada

引用次数: 2

Model of Fuzzy Assessment of The Account's Content in The TikTok Social Network TikTok社交网络账户内容模糊评估模型

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620309

D. Nazarov, A. Nazarov, Aleksandra Nazarova

引用次数: 1

Analysis of How The Features of Homonymous Speech Elements of Different Language Levels Affect The Way a Person Visually Recognizes The Elements 不同语言层次的同音语音要素特征对人视觉识别的影响分析

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620333

M. Myasoedova, Z. P. Myasoedova, M. Farkhadov

引用次数: 0

A Comparative Machine Learning Study to Predict Drug Addiction in Bangladesh 预测孟加拉国吸毒成瘾的比较机器学习研究

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620453

K. M. Rashedul Alam, K. Ahammed, Mohammad Abu Tareq Rony, Zannatul Ferdousi

{"title":"A Comparative Machine Learning Study to Predict Drug Addiction in Bangladesh","authors":"K. M. Rashedul Alam, K. Ahammed, Mohammad Abu Tareq Rony, Zannatul Ferdousi","doi":"10.1109/AICT52784.2021.9620453","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620453","url":null,"abstract":"Drug Addiction is one of the growing threats all over the world. According to Dhaka Tribune, more than 7.5 million people are addicted to drugs in Bangladesh. There are a lot of differences between a drug-addicted and a non-addicted person on health condition, social life, personal life, and familial life behaviors. So, steps should be taken to prevent drug addiction with proper curative issues. In this paper, we dig for the influential factors behind drug addiction and possible solutions to reduce the drug addiction rate. The research is held on the people of Dhaka, Bangladesh. Most of the data of drug-addicted people are collected from ‘Drug Rehab’ and for non-addicted person data we have collected from different schools, colleges, and universities in Dhaka, Bangladesh. All are male and the age group of 17 to 45 years. Our primary data set is constructed including only 188 qualitative data. A total of 5 algorithms have been employed including Logistic Regression, Decision Tree, Random Forest, Naive Bayes, Support Vector Machine (SVM) and their results are compared. Among the algorithms Random Forest comes up with the highest accuracy of 97.3484%, XGBoost & Decision Tree Classifier delivers the accuracy of 96.2768% and 94.68%.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"90 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132031518","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

Design and Development of Student Digital Health Profile 学生数字健康档案的设计与开发

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620459

M. Mansurova, Lazzat Sarsenova, N. Kadyrbek, T. Sarsembayeva, G. Tyulepberdinova, Bekasyl Sailau

{"title":"Design and Development of Student Digital Health Profile","authors":"M. Mansurova, Lazzat Sarsenova, N. Kadyrbek, T. Sarsembayeva, G. Tyulepberdinova, Bekasyl Sailau","doi":"10.1109/AICT52784.2021.9620459","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620459","url":null,"abstract":"The aim of the paper is to design and develop an information system for assessing student health to form a set of measures to prevent disease using artificial intelligence algorithms. Within the framework of this scientific problem, a whole range of tasks related to the analysis of medical data, identification of patterns, search for patterns, and visualization of results using artificial intelligence methods is solved. This study is particularly relevant for Kazakhstan’s educational institutions. The authors of the study expect to form a scientific and technological basis for promoting the idea and principles of “Healthy University - Healthy nation” among educational organizations of the Republic of Kazakhstan. The information system with visualization of the results of aggregation and analysis of data on health indicators and indicators related to health can be used by various groups of internal and external stakeholders as a regularly updated information resource for the development of various social or medical support programs.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"23 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":"131753281","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

Development of An Algorithm for Data Augmentation in The Problem of Object Classification on SAR Images using Convolutional Neural Networks 基于卷积神经网络的SAR图像目标分类数据增强算法研究

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620285

Aksamentov Egor, O. Basov, Ivan Tosltoy, A. Dukhanov

引用次数: 0