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

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End-To-End Neural Speaker Diarization Through Step-Function 基于步进函数的端到端神经说话人分化
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620513
R. Latypov, E. Stolov
{"title":"End-To-End Neural Speaker Diarization Through Step-Function","authors":"R. Latypov, E. Stolov","doi":"10.1109/AICT52784.2021.9620513","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620513","url":null,"abstract":"This paper presents an approach to the speaker diarization problem based on a step-wise form of speech file. There are known solutions to the diarization problem using complicated models of neural nets. Hence training of such net requires serious computation. The research goal is to construct an algorithm that uses very restricted resources during the discussion with a few persons using just a regular notebook. The time needed for training the system for work with the given persons is also minimal. This goal is attained by transforming the input signal of the net into a step-function having three values. This circumstance provides leveraging a simple model of the neural net for end-to-end diarization. For training, we use a segmented speech file where any segment belongs to one speaker. The number of speakers is known in advance. We convert each segment into a step-function applying the threshold value estimated using the developed fast algorithm. Using the end-to-end neural net, we exclude the clusterization step in the speaker diarization problem. Experiments show the acceptability of diarization quality.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"19 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":"129108980","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
Autonomous Surface Craft Continuous Control with Reinforcement Learning 基于强化学习的自主表面工艺连续控制
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620297
Sorokin Andrey, Farkhadov Mais Pasha Ogli
{"title":"Autonomous Surface Craft Continuous Control with Reinforcement Learning","authors":"Sorokin Andrey, Farkhadov Mais Pasha Ogli","doi":"10.1109/AICT52784.2021.9620297","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620297","url":null,"abstract":"Modern vessel is a sophisticated construction requiring highly prepared and experienced engineers to control it and to handle its underlying systems. Navigation, especially in restricted areas is a tough task which expects from duty navigational officer knowledge of International Regulations for Preventing Collisions at Sea as well as own vessel characteristics, permanent attention to continuously evolving environment and general vigilance. No doubts that autonomous system pretending to “take over the watch” is obliged to be a cut above the human capabilities. In this study we apply a deep reinforcement learning (RL) algorithm to control maneuvering of a surface craft. RL agent controls craft engines power in order to move it in indicated position avoiding objects considered as obstacles.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"2 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":"129214794","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
Using Monte Carlo Calculation for Molybdenum-99 Production by Electron Accelerator 用蒙特卡罗计算电子加速器生产钼-99
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620234
A. Torkamani, Alexander Khelvas, A. Bugaev, Farshad Ghasemi
{"title":"Using Monte Carlo Calculation for Molybdenum-99 Production by Electron Accelerator","authors":"A. Torkamani, Alexander Khelvas, A. Bugaev, Farshad Ghasemi","doi":"10.1109/AICT52784.2021.9620234","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620234","url":null,"abstract":"The most widely used isotope for medical imaging is Technetium-99m. The purpose of the research was to propose the architecture of solution for Technetium-99m Production by Linear Electron Accelerator (LINAC) and Rhodotron. This radionuclide Technetium-99m is produced via Molybdenum-99 beta minus decay. The Monte Carlo calculations were used for this purpose on the base of MCNPX framework. These calculations provide an advanced analysis of the various modes which will result in optimal design. We intend to use the simulation and the code calculation based on Monte Carlo.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"51 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":"130244203","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
Module for Detection and Elimination of Contractions in Big Data in The Intellectual Information System of Public Transport 公共交通智能信息系统大数据收缩检测与消除模块
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620353
I. Utepbergenov, S. Konshin, D. Kasymova
{"title":"Module for Detection and Elimination of Contractions in Big Data in The Intellectual Information System of Public Transport","authors":"I. Utepbergenov, S. Konshin, D. Kasymova","doi":"10.1109/AICT52784.2021.9620353","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620353","url":null,"abstract":"The aim of the study is to develop methods for automatic detection and elimination of inconsistencies in big data to improve the efficiency and effectiveness of decision-making based on statistical processing and machine learning. The structure and program of the module of an integrated method for detecting and eliminating inconsistencies in big data has been developed, a feature of which is the presence of a two-level system for detecting inconsistencies and a training subsystem in a neural network for detecting inconsistencies and removing them from information received over a certain period of time. The paper presents the results of a numerical experiment to identify and eliminate inconsistencies in the urban bus route dataset and use the cleaned dataset to adjust public transport timetables. The architecture of the data center of an intelligent information system of public transport is proposed for interaction with the developed module for identifying and eliminating contradictions in big data.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"26 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":"131022799","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
Discovering The Value of Electronic Gaming for Comprehending The Carbon Emissions Allowance Trading Market 发现电子游戏对理解碳排放权交易市场的价值
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620277
Tomohiro Nakada
{"title":"Discovering The Value of Electronic Gaming for Comprehending The Carbon Emissions Allowance Trading Market","authors":"Tomohiro Nakada","doi":"10.1109/AICT52784.2021.9620277","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620277","url":null,"abstract":"In recent years, the EU Emissions Trading System (EU-ETS) has introduced an economic perspective, such as market trading, to achieve greenhouse gas reduction targets established by each country and company. Gaming simulation is an educational technique used to model significant problems, such as the climate change. However, market transactions such as carbon allowance trading, require a large number of research participants. To enable the carbon emissions allowance trading market to involve even a small number of research participants, this study proposed the design of a web application to simulate the carbon emissions allowance trading market by research participants.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"2 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":"131133978","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
Emotion Analysis based on Incremental Online Learning in Social Networks 基于社交网络增量在线学习的情感分析
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620224
E. Egorova, D. Tsarev, A. Surikov
{"title":"Emotion Analysis based on Incremental Online Learning in Social Networks","authors":"E. Egorova, D. Tsarev, A. Surikov","doi":"10.1109/AICT52784.2021.9620224","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620224","url":null,"abstract":"Social network messages contain reliable information about the emotions that authors have experienced and expressed; based on them, we can conclude about some psycho-emotional characteristics of their authors. In this work, we use the model of emotions proposed by P. Ekman. We present a new iterative learning model that classifies messages from social networks into six basic emotions: joy, sadness, fear, anger, disgust, and surprise. The model considers not only “plain text” as input, but also various emotional indicators: emoticons and emoji. As a result of incremental learning, the averaged performance of the model increased by 8.9% in ROC AUC and by 7.3% in F1-score. The novelty of the approach lies in the implementation of incremental learning on the raw data permanently accepted from the social networks. It helps to maintain the model updated and improve its characteristics.","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":"124614022","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
Hardware Accelerators for Data Processing in High-Performance Computing Systems 用于高性能计算系统中数据处理的硬件加速器
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620439
V. Sklyarov, I. Skliarova, I. Utepbergenov
{"title":"Hardware Accelerators for Data Processing in High-Performance Computing Systems","authors":"V. Sklyarov, I. Skliarova, I. Utepbergenov","doi":"10.1109/AICT52784.2021.9620439","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620439","url":null,"abstract":"This tutorial overviews reconfigurable hardware accelerators that have been proposed for data processing in high-performance computing systems. They are based on different kinds of networks (sorting, searching, counting, etc.) and recur to iterative implementations that allow the required hardware resources to be significantly reduced almost without compromising the respective processing times. The accelerator architectures are first modelled in software and then implemented in reconfigurable hardware. The results of experiments are reported and references are given to more detailed descriptions of all the design and validation steps.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"1 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":"123464619","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
Distributed Nonlinear-Polynomial Computing Based on a Group of Polynomials over a Galois Field in the FPGA Architecture 基于伽罗瓦域上多项式群的分布式非线性多项式计算
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620296
S. Shalagin, V. Zakharov
{"title":"Distributed Nonlinear-Polynomial Computing Based on a Group of Polynomials over a Galois Field in the FPGA Architecture","authors":"S. Shalagin, V. Zakharov","doi":"10.1109/AICT52784.2021.9620296","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620296","url":null,"abstract":"A technique is proposed for performing distributed nonlinear-polynomial (NP) computing over Galois field. The technique is based on representing this polynomial by a group of similar polynomials over a Galois field, the power of which will be considerably lower than that of the field, over which the initial polynomial was defined. Due to the joint computation of elementary polynomials for a group of polynomials, the estimates of the NP computational complexity were reduced. Moreover, distributed computation of a group of similar polynomials allows adjusting the NP computation process to the predefined hardware basis. This also includes adjusting to the basis of field-programmable gate arrays (FPGAs), which also comprises logic and storage devices.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"50 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":"131584497","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
Knowledge Based Approach to Form of the Assessment Means Fund 基于知识的评估手段基金形成方法
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620317
G. Yakhyaeva
{"title":"Knowledge Based Approach to Form of the Assessment Means Fund","authors":"G. Yakhyaeva","doi":"10.1109/AICT52784.2021.9620317","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620317","url":null,"abstract":"The article proposes a theoretical-model approach to modeling the fund of assessment documents. This approach allows the formation of assessment documents, taking into account the wishes of the examiner. Formalization of the object domain in the form of Case Model and it Fuzzification allows you to build a template of an assessment document in the form of a quantifier-free formula of predicate logic, as well as to check the consistency of the constructed template.The article describes an algorithm for generating a set of assessment documents for a given template. This set consists of a user-specified number of variants of assessment documents of the same type in structure, but unique in content. The algorithm is based on the categorical data clustering algorithm CLOPE. The paper presents a modification of the algorithm that allows to automatically determine the required number of clusters depending on the input data, as well as to solve the problem of small clusters.","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":"133849349","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
Computer Modeling of Boundary Value Problem of Loading of Copper Rod as a Part of Roadbed 路基铜杆载荷边值问题的计算机建模
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI: 10.1109/AICT52784.2021.9620371
B. Alipova
{"title":"Computer Modeling of Boundary Value Problem of Loading of Copper Rod as a Part of Roadbed","authors":"B. Alipova","doi":"10.1109/AICT52784.2021.9620371","DOIUrl":"https://doi.org/10.1109/AICT52784.2021.9620371","url":null,"abstract":"The mathematical and computer model of the boundary value problem of loading of copper rod as part of roadbed considered. Equation of thermal conductivity using the coefficient of thermal diffusivity at a constant volume of the body and physical properties of definite material (copper) is calculated. The creation of MatLab model and GUI Interface considering different shape of roadbed with various physical characteristics gives the novelty of the problem. Moreover, the problem allows us to set up several new problems and their solutions.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"13 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":"129765979","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
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