检索结果-内蒙古大学图书馆

19th International Conference on Future Networks and Communications, FNC 2024 / 21st International Conference on Mobile systems and Pervasive Computing, MobiSPC 2024 / 14th International Conference on Sustainable Energy Information Technology, SEIT 2024

作者： Vatskel, Vladimir Biloshchytskyi, Andrii Neftissov, Alexandr Kuchanskyi, Oleksandr Andrashko, Yurii Biloshchytska, Svitlana Sachenko, Illia Astana IT University Astana010000 Kazakhstan Department of Information Technologies Kyiv National University of Construction and Architecture Kiev01001 Ukraine Department of Information Systems and Technology Taras Shevchenko National University of Kyiv Kyiv01001 Ukraine Department of System Analysis and Optimization Theory Uzhhorod National University Uzhhorod88000 Ukraine

This article discusses integrating machine learning and IoT technologies into bee apiary management systems. The research aims to optimize bee conditions, improve their health and increase honey production. Using machine learning, large amounts of data collected by hive sensors are analyzed to predict and prevent various bee health problems effectively. Particular attention is paid to methods of controlling temperature in hives through pulse-width modulation technology, which provides accurate and energy-efficient regulation of temperature conditions. A method for predicting temperature in hives for effective apiary management is also proposed. © 2024 The Authors. Published by Elsevier B.V.

关键词： beekeeping energy efficiency Internet of Things machine learning pulse width modulation sustainable agriculture temperature control

来源：评论

学校读者我要写书评

暂无评论

Energy-efficient Internet of Things using LoRa Network and modular universal programmable controller in bee apiary management 14

Energy-efficient Internet of Things using LoRa Network and m...

引用

14th International Conference on Emerging Ubiquitous systems and Pervasive Networks / 13th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, EUSPN/ICTH 2023

作者： Vatskel, Vladimir Biloshchytskyi, Andrii Neftissov, Alexandr Kuchanskyi, Oleksandr Andrashko, Yurii Sachenko, Illia Astana IT University Astana010000 Kazakhstan Department of Information Technologies Kyiv National University of Construction and Architecture Kiev01001 Ukraine Department of Information Systems and Technology Taras Shevchenko National University of Kyiv Kyiv01001 Ukraine Department of System Analysis and Optimization Theory Uzhhorod National University Uzhhorod88000 Ukraine

Modern beekeeping uses various technological solutions to control and manage apiaries, but many need help with problems related to energy consumption and the inability to adapt to changing conditions. This article presents the development of the conceptual model of hardware-software complex architecture, focusing on the modularity and flexibility of the system. The main idea is to use a universal programmable logic controller with a modular architecture, which allows users to quickly adapt the system to new tasks by adding or replacing sensors and control mechanisms. The proposed approach considers minimizing energy consumption using energy-efficient LoRa technology for data transmission. Such a system's main advantages and potential risks are considered, and formulas for calculating energy consumption during data transmission are presented. The article can serve as a guide for specialists in the field of beekeeping and developers of automation systems. © 2024 Elsevier B.V.. All rights reserved.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Integrating machine learning and IoT into apiary management to optimize bee health and production

引用

Procedia Computer Science 2024年 241卷 494-500页

作者： Vladimir Vatskel Andrii Biloshchytskyi Alexandr Neftissov Oleksandr Kuchanskyi Yurii Andrashko Svitlana Biloshchytska Illia Sachenko Department of Information Technologies Kyiv National University of Construction and Architecture Kiev 01001 Ukraine Astana IT University Astana 010000 Kazakhstan Department of Information Systems and Technology Taras Shevchenko National University of Kyiv Kyiv 01001 Ukraine Department of System Analysis and Optimization Theory Uzhhorod National University Uzhhorod 88000 Ukraine

关键词： beekeeping machine learning Internet of Things temperature control pulse width modulation sustainable agriculture energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Energy-efficient Internet of Things using LoRa Network and modular universal programmable controller in bee apiary management

引用

Procedia Computer Science 2024年 231卷 715-720页

作者： Vladimir Vatskel Andrii Biloshchytskyi Alexandr Neftissov Oleksandr Kuchanskyi Yurii Andrashko Illia Sachenko Department of Information Technologies Kyiv National University of Construction and Architecture Kiev 01001 Ukraine Astana IT University Astana 010000 Kazakhstan Department of Information Systems and Technology Taras Shevchenko National University of Kyiv Kyiv 01001 Ukraine Department of System Analysis and Optimization Theory Uzhhorod National University Uzhhorod 88000 Ukraine

关键词： beekeeping universal programmable logic controller modular architecture energy efficiency adaptability sensors control mechanisms data transmission LoRa energy consumption automation hives microservice architecture

来源：评论

学校读者我要写书评

暂无评论

The comparison of methods for assessing the productivity of scientific subjects 16

The comparison of methods for assessing the productivity of ...

引用

16th IEEE International Conference on Computer Science and Information Technologies, CSIT 2021

作者： Biloshchytskyi, Andrii Kuchansky, Alexander Andrashko, Yurii Mukhatayev, Aidos Toxanov, Sapar Faizullin, Adil Astana IT University Administrative Staff Nur-Sultan Kazakhstan Taras Shevchenko National University of Kyiv Department of Information Systems and Technologies Kyiv Ukraine Uzhhorod National University Department of System Analysis and Optimization Theory Uzhhorod Ukraine

ISBN: (纸本)9781665442572

The article considers the known methods of assessing the productivity of scientific subjects. The quantitative estimation of productivity of issues of scientific activity is offered. Methods for the sensitivity of changes in estimates from the number of publications of the authors are studied. It is established that the proposed method has a higher sensitivity than other known ones. The study also covers the issue of visualization of the citation network of scientists. © 2021 IEEE.

关键词： Productivity

来源：评论

学校读者我要写书评

暂无评论

Development of Smart Irrigation system Based on Climate-Smart Agricultural Practices

Development of Smart Irrigation System Based on Climate-Smar...

引用

Conference on Technologies for Sustainability (Sustech)

作者： Oleksandr Kuchanskyi Alexandr Neftissov Andrii Biloshchytskyi Yurii Andrashko Volodymyr Vatskel Department of Computational and Data Science Astana IT University Astana Kazakhstan Department of Information Control Systems and Technologies Uzhhorod National University Uzhhorod Ukraine Research and Innovation Center "Industry 4.0" Astana IT University Astana Kazakhstan University Administration Astana IT University Astana Kazakhstan Department of Information Technology Kyiv National University of Construction and Architecture Kyiv Ukraine Department of System Analysis and Optimization Theory Uzhhorod National University Uzhhorod Ukraine

ISBN: (数字)9798331504311

ISBN: (纸本)9798331504328

The paper presents a smart irrigation system that combines hardware and software elements and allows the implementation of climate-smart agriculture ideas in agricultural companies’ activities. The system was implemented in a Ukrainian company specializing in growing potatoes in 2021-2024. According to the results, on average, we got a significant increase in potato yield and reduced water consumption by more than 50%. The possibilities of transferring smart irrigation technology based on a smart irrigation system in the activities of agricultural companies in Kazakhstan were analyzed. The assessment and forecasting of potato yield growth in Kazakhstan in the coming years was also carried out, provided that the described technology is used, considering the peculiarities of the sharp continental climate. The results confirm that implementing the described system and other climate-smart agricultural practices increases the profitability of agricultural enterprises, promotes food security in the context of global population growth, and promotes environmental sustainability by saving water resources. This is extremely important in the context of climate change.

关键词： Irrigation Climate change Wireless sensor networks Profitability Green products Ecosystems Food security Companies Water resources Meteorology

来源：评论

学校读者我要写书评

暂无评论

Numerical Method of the Type of Descent for Finding the Solution to a system of Two Nonlinear Equations 15

Numerical Method of the Type of Descent for Finding the Solu...

引用

15th IEEE International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2020

作者： Hlebena, Myroslava Tsehelyk, Hryhoriy Uzhhorod National University Department of System Analysis and Optimization Theory Uzhgorod Ukraine Ivan Franko National University of Lviv Mathematical Modeling of Social and Economics Processes Department Lviv Ukraine

The problem of finding the solution to a system of two nonlinear equations is considered. The paper presents a new numerical method based on the use of the apparatus of non-classical minorants and diagrams of Newton&#... 详细信息

ISBN: (纸本)9781728174433

关键词： Numerical methods

来源：评论

学校读者我要写书评

暂无评论

Methods of assessing the scientific activity of scientists and higher education institutions 2

Methods of assessing the scientific activity of scientists a...

引用

2nd IEEE International Conference on Advanced Trends in Information theory, ATIT 2020

作者： Biloshchytskyi, Andrii Kuchansky, Alexander Andrashko, Yurii Mukhatayev, Aidos Toxanov, Sapar Faizullin, Adil Administrative Staff Astana IT University City of Nur-Sultan Kazakhstan Department of Information Systems and Technologies Taras Shevchenko National University of Kyiv City of Kyiv Ukraine Kyiv National University of Construction and Architecture Department of Project Management Kyiv Ukraine Uzhhorod National University Department of System Analysis and Optimization Theory Uzhhorod Ukraine

ISBN: (纸本)9781728197999

The research of scientific spaces is a complex task that should consider the dynamics of the development of their components and the numerous changes resulting from the increasing speed of scientific information generation and dissemination. The analysis of associations of subjects and objects of the scientific space, particularly networks of scientific cooperation, networks of citation, and co-citation, is an urgent research task. The paper provides an overview of the functions that arise in the analysis of scientific networks: research of networks of scientific cooperation, study of citation networks, general citation, and bibliographic relationship, identification of research directions and analysis of topics, creation of scientific networks based on common keywords, research of heterogeneous scientific networks. The global distribution and development dynamics of scientific networks determine the approaches to their analysis. The study of scientific networks allows us to understand the structure of interaction between subjects and objects of scientific networks (scientists, higher education institutions, and their structural divisions) and conduct a thorough assessment of their research activities. © 2020 IEEE.

关键词： analysis of scientific networks Citation network Network of scientific cooperation Scientific space Scientometrics

来源：评论

学校读者我要写书评

暂无评论

Multi-Point Detection of the Powerful Gamma Ray Burst GRB221009A Propagation through the Heliosphere on October 9, 2022

arXiv

引用

arXiv 2023年

作者： Voshchepynets, Andrii Agapitov, Oleksiy Wilson, Lynn Angelopoulos, Vassilis Alnussirat, Samer T. Balikhin, Michael Hlebena, Myroslava Korol, Ihor Larson, Davin Mitchell, David Owen, Christopher Rahmati, Ali Department of System Analysis and Optimization Theory Uzhhorod National University Uzhhorod Ukraine Space Sciences Laboratory University of California Berkeley BerkeleyCA94720 United States Astronomy and Space Physics Department National Taras Shevchenko University of Kyiv Kyiv Ukraine Goddard Space Flight Center National Aeronautics Space Administration GreenbeltMD United States Department of Earth Planetary and Space Sciences University of California Los Angeles Los AngelesCA United States University of Sheffield Sheffield United Kingdom Department of Algebra and Differential Equation Uzhhorod National University Uzhhorod Ukraine Department of Mathematical Analysis The John Paul II Catholic University of Lublin Lublin Poland Mullard Space Science Laboratory University College London DorkingRH5 6NT United Kingdom

We present the results of processing the effects of the powerful Gamma Ray Burst GRB221009A captured by the charged particle detectors (electrostatic analyzers and solid-state detectors) onboard spacecraft at different points in the heliosphere on October 9, 2022. To follow the GRB221009A propagation through the heliosphere we used the electron and proton flux measurements from solar missions Solar Orbiter and STEREO-A;Earth’s magnetosphere and the solar wind missions THEMIS and Wind;meteorological satellites POES15, POES19, MetOp3;and MAVEN - a NASA mission orbiting Mars. GRB221009A had a structure of four bursts: less intense Pulse 1 - the triggering impulse - was detected by gamma-ray observatories at T0=13:16:59 UT (near the Earth);the most intense Pulses 2 and 3 were detected on board all the spacecraft from the list, and Pulse 4 detected in more than 500 s after Pulse 1. Due to their different scientific objectives, the spacecraft, which data was used in this study, were separated by more than 1 AU (Solar Orbiter and MAVEN). This enabled tracking GRB221009A as it was propagating across the heliosphere. STEREO-A was the first to register Pulse 2 and 3 of the GRB, almost 100 seconds before their detection by spacecraft in the vicinity of Earth. MAVEN detected GRB221009A Pulses 2, 3, and 4 at the orbit of Mars about 237 seconds after their detection near Earth. By processing the time-delays observed we show that the source location of the GRB221009A was at RA 288.5◦, Dec 18.5◦ ±2◦ (J2000). © 2023, CC BY.

关键词： Spacecraft

来源：评论

学校读者我要写书评

暂无评论

Direct Measurements of Synchrotron-Emitting Electrons at Near-Sun Shocks

arXiv

引用

arXiv 2024年

作者： Jebaraj, Immanuel Christopher Agapitov, O.V. Gedalin, M. Vuorinen, L. Miceli, M. Vainio, R. Cohen, C.M.S. Voshchepynets, A. Kouloumvakos, A. Dresing, N. Marmyleva, A. Krasnoselskikh, V. Balikhin, M. Mitchell, J.G. Labrador, A.W. Wijsen, N. Palmerio, E. Colomban, L. Pomoell, J. Kilpua, E.K.J. Pulupa, M. Mozer, F.S. Raouafi, N.E. McComas, D.J. Bale, S.D. Department of Physics and Astronomy University of Turku Turku20500 Finland Space Sciences Laboratory University of California BerkeleyCA94720 United States Astronomy and Space Physics Department National Taras Shevchenko University of Kyiv Kyiv03127 Ukraine Department of Physics Ben Gurion University of the Negev Beer-Sheva84105 Israel Department of Physics and Astronomy Queen Mary University of London LondonE1 4NS United Kingdom Dipartimento di Fisica e Chimica E. Segrè Università degli Studi di Palermo Palermo90134 Italy California Institute of Technology PasadenaCA91125 United States Department of System Analysis and Optimization Theory Uzhhorod National University Uzhhorod88000 Ukraine The Johns Hopkins University Applied Physics Laboratory LaurelMD20723 United States University of Helsinki Helsinki00014 Finland LPC2E CNRS UMR 7328 Orléans45071 France University of Sheffield SheffieldS10 2TN United Kingdom Heliophysics Science Division NASA Goddard Space Flight Center GreenbeltMD20771 United States Centre for mathematical Plasma Astrophysics KU Leuven Leuven3001 Belgium Predictive Science Inc. San DiegoCA92121 United States Department of Astrophysical Sciences Princeton University PrincetonNJ08544 United States Physics Department University of California BerkeleyCA94720 United States

In this study, we present the first-ever direct measurements of synchrotron-emitting heliospheric traveling shocks, intercepted by the Parker Solar Probe (PSP) during its close encounters. Given that much of our understanding of powerful astrophysical shocks is derived from synchrotron radiation, these observations by PSP provide an unprecedented opportunity to explore how shocks accelerate relativistic electrons and the conditions under which they emit radiation. The probe’s unparalleled capabilities to measure both electromagnetic fields and energetic particles with high precision in the near-Sun environment has allowed us to directly correlate the distribution of relativistic electrons with the resulting photon emissions. Our findings reveal that strong quasi-parallel shocks emit radiation at significantly higher intensities than quasi-perpendicular shocks due to the efficient acceleration of ultra-relativistic electrons. These experimental results are consistent with theory and recent observations of supernova remnant shocks and advance our understanding of shock physics across diverse space environments. © 2024, CC BY-SA.

关键词： Probes

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：