2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)最新文献

WebRTC based Platform for Video Conferencing in An Educational Environment 基于WebRTC的教育环境视频会议平台

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI: 10.1109/AICT47866.2019.8981724

Y. Ushakov, M. Ushakova, A. Shukhman, P. Polezhaev, L. Legashev

引用次数: 4

TangiBoard: A Toolkit to Reduce the Implementation Burden of Tangible User Interfaces in Education TangiBoard:一个减轻教育中有形用户界面实施负担的工具包

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI: 10.1109/AICT47866.2019.8981773

Geoffrey Attard, C. de Raffaele, Serengul Smith

{"title":"TangiBoard: A Toolkit to Reduce the Implementation Burden of Tangible User Interfaces in Education","authors":"Geoffrey Attard, C. de Raffaele, Serengul Smith","doi":"10.1109/AICT47866.2019.8981773","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981773","url":null,"abstract":"The use of Tangible User Interfaces (TUI) as an educational technology has gained sustained interest over the years with common agreement on its innate ability to engage and intrigue students in active-learning pedagogies. Whilst encouraging results have been obtained in research, the widespread adoption of TUI architectures is still hindered by a myriad of implementation burdens imposed by current toolkits. To this end, this paper presents an innovative TUI toolkit: TangiBoard, which enables the deployment of an interactive TUI system using low-cost, and presently available educational technology. Apart from curtailing setup costs and technical expertise required for adopting TUI systems, the toolkit provides an application framework to facilitate system calibration and development integration with GUI applications. This is enabled by a robust computer vision application that tracks a contributed passive marker set providing a range of tangible interactions to TUI frameworks. The effectiveness of this toolkit was evaluated by computer systems developers with respect to alternate toolkits for TUI design. Open-source versions of the TangiBoard toolkit together with marker sets are provided online through research license.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122869918","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: 4

Social Sentiment Analysis Using Fuzzy Logic: Addressing context effect on sentiment analysis by fuzzy lexicon dynamism 基于模糊逻辑的社会情感分析:用模糊词汇动态分析语境对情感分析的影响

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI: 10.1109/AICT47866.2019.8981799

M. Ghiasi, Shaghayegh Gharehgozli

引用次数: 1

Method for extracting product design characteristics from life cycle management systems of complex technical objects 从复杂技术对象生命周期管理系统中提取产品设计特征的方法

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI: 10.1109/AICT47866.2019.8981750

N. N. Voit, M. Ukhanova, S. Brigadnov, S. Kirillov, S. Bochkov

引用次数: 1

VITA Search - An Intelligent Multimodal Search and Archive System for Online Media Resources VITA Search -一个在线媒体资源的智能多模式搜索和存档系统

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI: 10.1109/AICT47866.2019.8981781

Zhanibek Kozhirbayev, Zhandos Yessenbayev, Bagdat Myrzakhmetov

{"title":"VITA Search - An Intelligent Multimodal Search and Archive System for Online Media Resources","authors":"Zhanibek Kozhirbayev, Zhandos Yessenbayev, Bagdat Myrzakhmetov","doi":"10.1109/AICT47866.2019.8981781","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981781","url":null,"abstract":"In this paper we present work on intelligent multimodal search and archive system, in which the scientific findings obtained in the work on recognition of Kazakh and Russian speeches, language identification and spoken term detection methods were applied. The paper describes the goals and objectives, the architecture, as well as the subsystem modules of the developed system. The VITA Search system allows for accurately determining the exact time of the required spoken information in the data in Kazakh and Russian languages from various broadcast channels. The speech recognition unit uses the Kaldi toolkit to generate lattices from the raw audio data. An acoustic model trained using deep neural networks shows significant results. The word error rate on the train set for recognition of Kazakh speech was 3.86, and for Russian speech - 9.85. Moreover, we integrated a language identification model trained using Long Short-Term Memory Recurrent Neural Networks in order to select the correct model for the input audio. Regarding spoken term detection, we applied word and proxy-based approaches to search for keyword terms among the lattices.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132315583","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

Learning the Relationship between Asthma and Meteorological Events by Using Machine Learning Methods 利用机器学习方法学习哮喘与气象事件之间的关系

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI: 10.1109/AICT47866.2019.8981778

Alibek Zhakubayev, A. Yazıcı

{"title":"Learning the Relationship between Asthma and Meteorological Events by Using Machine Learning Methods","authors":"Alibek Zhakubayev, A. Yazıcı","doi":"10.1109/AICT47866.2019.8981778","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981778","url":null,"abstract":"In this article, a new methodology is proposed by using the relationships between meteorological events and asthma cases of asthma patients in a region compared to other regions in a country. We focus on the impact of weather conditions on asthma in order to estimate asthma cases using machine learning methods based on meteorological events only. In order to increase the success of the estimates, in addition to the 10 features identified by the National Environmental Information Centers, we create some new semi-synthetic features by using the multiplication and addition operations on the features given after the scaling. Then, we use machine learning methods and the R-square coefficient approach to learn the effective features using the features obtained from publicly available data sets for Russia. After determining the effective features, we use three different machine learning algorithms: random forest, linear regression, and kernel ridge regression algorithms. We use transfer learning to store effective features obtained from a dataset for Russia and then apply them to a dataset for Kazakhstan. Our hypothesis is that a combination of the selected semi-synthetic properties of the random forest algorithm has the best performance accuracy for this application. The model successfully identifies (predicts) very high, high, medium, low or very low numbers of people with asthma for the first time in the region.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130024286","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

How to Design Dialogue Scenarios and Estimate Main Dialogue Parameters for a Voice-Controlled Man-Machine Interface 如何为声控人机界面设计对话场景并估计主要对话参数

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI: 10.1109/AICT47866.2019.8981770

M. Farkhadov, N. Petukhova, A. Eliseev, Mukhabbat Farkhadova

引用次数: 0

Model Selection Approach for Time Series Forecasting 时间序列预测的模型选择方法

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI: 10.1109/AICT47866.2019.8981768

Matskevichus Mariia, Gladilin Peter

引用次数: 0

$h_{t}$ -index and $A_{t}$ -index for Evaluating Scientific Performance of Researchers 评价科研人员科研绩效的$h_{t}$ -index和$A_{t}$ -index

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI: 10.1109/AICT47866.2019.8981764

R. Aliguliyev, Narmin A. Adigozalova

引用次数: 0

Distractors of Computerised Creative Knowledge Work 计算机化创造性知识工作的干扰因素

2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2019-10-01 DOI: 10.1109/AICT47866.2019.8981767

Aaro Hazak

{"title":"Distractors of Computerised Creative Knowledge Work","authors":"Aaro Hazak","doi":"10.1109/AICT47866.2019.8981767","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981767","url":null,"abstract":"Use of advanced ICT in combination with efficient management of intellectual capital in modern computerised knowledge work is key for generating innovation to achieve socio-economic development. This paper studies how some work organizational institutional factors and personal characteristics are linked to shaping various distractors of computerised work results in creative knowledge employees, with the purpose of pointing to the driving forces of some key ICT related and other obstacles in achieving desired results in intellectual work. This paper provides ordered probit regression results on data from an Estonian survey of creative knowledge employees doing computerised work. Our findings reveal that emotional tiredness, sleepiness, work environment issues, managerial problems and unclear work tasks appear as the most dominant distractors of work results perceived by creative knowledge employees. The intensity of perceiving the adverse effect of those factors appears to be triggered primarily by the age and gender of the employee, their sleep patterns and availability of flexible work arrangements. The findings of this paper may help to design better the principles of knowledge management in computerised work to capture the intellectual potential of creative employees more efficiently. Moreover, knowing the triggers of distractors for achieving desired creative work results by knowledge employees may point to areas where the development and use of ICT could be particularly promising.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127190674","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