Classical Potential Barrier of Liquid Phase Radical Reactions and its Simulation Based on the Experimental Kinetic and Thermochemical Data Using Fuzzy Neural Networks

Prokhorov, A. I.; Tumanov, Vladimir Evgen'vich; Amosova, Elena S.

doi:10.1109/iccairo.2018.00028

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…Размещенные в базе данных классифицированные и ранжированные документы позволяют в полуавтоматическом режиме извлечь из публикации информацию о реакционной способности органических соединений в структурированной форме: химическая реакция и ее класс, реагент(ы) и их характеристики (структурные и числовые), условия протекания химического превращения (среда, давление, температурный режим), методы измерения и методы аналитического контроля, специфические характеристики проведения опыта. Реляционная модель данных такой базы данных представлена в работе [19].…”

Section: извлечение и складирование данныхunclassified

Extraction of experimental data on chemical kinetics from open sources in the Internet

Варламов

Tumanov

2019

Scientific Conference “Scientific Services &Amp; Internet”

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In article process of intellectual search and extraction of experimental data on chemical kinetics from open sources in the Internet is considered. Approach to the organization of the above-stated process which includes the sequence of the following stages is offered: forming of a computer corpus of documents electronic versions of scientific journals, as in open access, and commercial journals, development of a domain ontology for creation of the thesaurus, intellectual search and forming of the electronic corpus of bibliographic links, the intellectual analysis of bibliographic links on the basis of cluster analysis, downloading, conversion to a test format and document classification by a Bayesian neural network, extraction of data and their warehousing. The technologies developed by authors allow to work with English-language and Russian-language texts. The algorithm automatic classifications uses three methods of a clustering. Automatic classification of publications uses specially constructed three-level information basis which breaks sets of articles on the nature of contents. On the basis of the received splitting the case of electronic documents which contains experimental data on reaction activity of organic compounds in chemical reactions is under construction. The retrieved characteristics of chemical reactions remain in the developed database for further use.

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Section: извлечение и складирование данныхunclassified

Extraction of experimental data on chemical kinetics from open sources in the Internet

Варламов

Tumanov

2019

Scientific Conference “Scientific Services &Amp; Internet”

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Wireless Sensor Network as a Mesh: Vision and Challenges

et al. 2022

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Nowadays, network technologies are developing very rapidly. The growing volume of transmitted information (video, data, VoIP, etc.), the physical growth of networks, and inter-network traffic are forcing manufacturers to produce more powerful and ''smart'' devices that use new methods of transferring and sorting data. Such connected smart devices (IoT) are used in intelligently controlled traffic for self-driving vehicles in Vehicle Adhoc Networks (VANET), in electricity and water in smart cities, and in-home automation in smart homes. These types of connected Internet of Things (IoT) devices are used to leverage different types of network structures. Such IoT sensor devices can be deployed as a wireless sensor network (WSN) in a mesh topology. Both WSNs and Wireless Mesh Networks (WMNs) are easy to organize as well as to deploy. In this case, there are many reasons for combining these different types of networks. In particular, the detailed sensory capabilities of sensor networks may be improved by increasing bandwidth, reliability and power consumption in the mesh topology. However, there are currently only a handful of studies devoting to integrate these two different types of networks. In addition, there is no systematic review of existing interconnection methods. That is why in this article we explore the existing methods of these two networks and provide an analytical basis for their relationship. We introduce the definition of WSN and WMN and then look at some case studies. Afterward, we present several challenges and opportunities in the area of combined Wireless Mesh Sensor Network (WMSN) followed by a discussion on this interconnection through literature review and hope that this document will attract the attention of the community and inspire further research in this direction.

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Classical Potential Barrier of Liquid Phase Radical Reactions and its Simulation Based on the Experimental Kinetic and Thermochemical Data Using Fuzzy Neural Networks

Cited by 2 publications

References 13 publications

Extraction of experimental data on chemical kinetics from open sources in the Internet

Extraction of experimental data on chemical kinetics from open sources in the Internet

Wireless Sensor Network as a Mesh: Vision and Challenges

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