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Compression testing of soils by utilizing method of constant rate of loading

Compression testing of soils by utilizing method of constant...

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International Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH 2019

作者： Dzhangarov, A.I. Guzueva, E.R. Akhmetova, H.A. Chaplaev, H.G. Potapova, N.V. Department of Programming and Information and Communication Chechen State University Sheripova Street 32 Groznyy364093 Russia Department of Business Informatics Chechen State University Sheripova Street 32 Groznyy364093 Russia Department of Economics and Management in Education Chechen State Pedagogical University Kievskaya street 33 Groznyy364031 Russia Department of Information Educational Technologies Kuban State University Stavropol'skaya street 149 Krasnodar350001 Russia

The work outlines one of the most frequently encountered methods of soil compression testing - the method of constant rate of loading (CRL). Compression tests, in fact, are laboratory tests to determine the deformation characteristics of soils. There are a large number of methods that differ in the approach to the study of soils, the duration of the test, etc. The most reliable results, which are close to those obtained in practice, are provided by the so-called method of constant rate of loading as was mentioned before. However, it also has its drawbacks - the time that is spent on researching the properties of the soil. It usually takes about two weeks. In order to optimize this method, a software product was created that relies on the developed mathematical apparatus and allows you to significantly speed up the data processing process and build a forecast regarding soil characteristics. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Soils

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Forecasting and modeling on average rainwater and vapor pressure in Chelyabinsk Russia using deep learning models

Forecasting and modeling on average rainwater and vapor pres...

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6th Smart Cities Symposium (SCS 2022)

作者： M. Abotaleb T. Makarovskikh A. Ali Subhi H. Alkattan A.O. Adebayo Department of System Programming South Ural State University Chelyabinsk Russia University of Diyala Diyala Iraq Information Communication and Technology Department Lagos State University Lagos Nigeria

Machine learning technique is full-fledged as a boosting sector to develop modeling and forecasting of complex time series observations in the present environment. This study made an attempt to inspect the future performance of rainfall data and vapor in Chelyabinsk by using a machine learning technique. The data series is divided into a training set (60%) and a test set (40%) for model developing a validation purpose. We further developed deep learning models such as, LSTM, BILSTM, GRU and compared on the basis of ME, RMSE, MAE, MPE, MAPE, ACF1 on the training data set. For testing data set, we compared these deep learning models based on RMSE. LSTM model acts as a superior machine learning model over BILSTM and GRU in this data series. Forecasting performance of these three models significantly at par. This finding may be significant to build a strong literature of the Chelyabinsk weather's forecast, which can be helpful for policy makers and researchers. Also, we strongly believe that, this work could be used as a literature adaptation of machine learning technique for complex time series over statistical models.

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Flexible Query Answering Systems 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Henning Christiansen Mohand-Saïd Hacid Troels Andreasen Henrik Legind Larsen

ISBN: (数字)9783540259572

ISBN: (纸本)9783540221609

ThisvolumeconstitutestheproceedingsoftheSixthInternationalConferenceon Flexible Query Answering Systems, FQAS 2004, held in Lyon, France, on June 24–26, 2004. FQAS is the premier conference for researchers and practitioners concerned with the vital task of providing easy, ?exible, and intuitive access to information for every type of need. This multidisciplinary conference draws on several research areas, including databases, information retrieval, knowledge representation, soft computing, multimedia, and human-computer interaction. With FQAS 2004, the FQAS conference series celebrated its tenth anniversary as it has been held every two years since 1994. The overall theme of the FQAS conferences is innovative query systems aimed at providing easy, ?exible, and intuitive access to information. Such systems are intended to facilitate retrieval from information repositories such as databases, libraries, and the Web. These repositories are typically equipped with standard query systems that are often inadequate for users. The focus of FQAS is the development of query systems that are more expressive, informative, cooperative, productive, and intuitive to use.

关键词： Artificial Intelligence information Storage and Retrieval information Systems Applications (incl. Internet) User Interfaces and Human Computer Interaction Database Management IT in Business

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Promising Developments in Cyber Physical System Tools for Background Monitoring of Reserve Landscape 11

Promising Developments in Cyber Physical System Tools for Ba...

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11th International Conference on Advanced Computer information Technologies, ACIT 2021

作者： Nykolaychuk, Yaroslav Grynchychyn, Taras Pitukh, Ihor Petrashchuk, Yaroslav Nykolaychuk, Lyubov Hryha, Volodymyr West Ukrainian National University Department of Specialized Computer Systems Ternopil Ukraine Nadvirna Vocational College by National Transport University Department of Programming and Information Technologies Nadvirna Ukraine Gorgany Nature Reserve Nadvirna Ukraine Ivano-Frankivsk National Technical University of Oil and Gas Department of Social Communication and Law Ivano-Frankivsk Ukraine Vasyl Stefanyk Precarpathian National University Department of Computer Engineering and Electronics Ivano-Frankivsk Ukraine

Experience in designing and building cyber physical interactive distributed monitoring systems for industrial facilities and reserve landscapes is analyzed. Advantages of the existing interactive and dialogue computerized systems, replicated by many companies, are systematized and their functional limitations are determined. The legal and system requirements for the implementation of this class of information system components, which can be applied in strict Nature Reserve, are clarified. It is proposed to expand the functionality and increase the reliability of the ring-star system for background monitoring of nature reserves based on binary-manipulated optical signals. A sensor system for measuring the height of snow cover along the monitoring route is developed using a relay sensor network and quadcopters. © 2021 IEEE.

关键词： Cyber Physical System

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Structure and Functioning of information Systems of Background Monitoring of Landscape Elements of Gorgany Nature Reserve 10

Structure and Functioning of Information Systems of Backgrou...

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10th International Conference on Advanced Computer information Technologies, ACIT 2020

作者： Nykolaychuk, Yaroslav Petrashchuk, Yaroslav Slobodian, Olena Pitukh, Ihor Grynchyshyn, Taras Nykolaychuk, Lyubov Hryha, Volodymyr Ternopil National Economic University Department of Specialized Computer Systems Ternopil Ukraine Gorgany Nature Reserve Nadvirna Ukraine Nadvirna College by National Transport University Department of Programming and Information Technologies Nadvirna Ukraine Ivano-Frankivsk National Technical University of Oil and Gas Department of Social Communication and Law Ivano-Frankivsk Ukraine Vasyl Stefanyk Precarpathian National University Department of Computer Engineering and Electronics Ivano-Frankivsk Ukraine

This paper discusses the structural organization of the background monitoring system (BMS) of the transboundary UNESCO World Heritage Site 'Beech forests of the Carpathians and ancient beech forests of Germany' using actual data and information from Gorgany Nature Reserve in Ivano-Frankivsk, Ukraine. The features of the structure and functions of background monitoring of the protected natural resources, forests and wildlife of Gorgany Nature Reserve is based on modern methods of collecting and processing of digital data, implementation of the principles of Internet of Things and cloud technologies, combined with GPS-systems, sensor networks with the use of optical and fiber-optic telecommunication channels. The information technology of the background monitoring system is based on figurative cluster models of monitoring objects according to theoretical principles of statistical, correlatory, spectral, cluster, logic-statistical and entropy analysis. © 2020 IEEE.

关键词： Sensor networks

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Flexible Query Answering Systems 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Henrik Legind Larsen Gabriella Pasi Daniel Ortiz-Arroyo Troels Andreasen Henning Christiansen

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The prediction of students' academic performances with a classification model built using data mining techniques

The prediction of students' academic performances with a cla...

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6th Smart Cities Symposium (SCS 2022)

作者： H. Alkattan M. Abotaleb A. Ali Subhi O. A. Adelaja A. Kadi H. K. Ibrahim Al-Mahdawi Department of System Programming South Ural State University Chelyabinsk Russia University of Diyala Diyala Iraq Information Communication and Technology Department Lagos State University Lagos Nigeria Department of Food and Biotechnology South Ural State University Chelyabinsk Russia

In the purview of most educational sectors today, numerous reviews regarding data mining have been the primary focus, with goals of discovering vast knowledge patterns for students' data. This paper focuses on building model that predicted the performance of computer science students in some courses they were examined through classification technique. The model built for the purpose of classification via decision tree classifier which was adopted in WEKA and KNIME analytics platform. The workflow model basically connected nodes to generate the decision trees while J4.8 Decision Tree Classifier programmable outputs were generated for the courses to obtain the confusion matrix and other instances. Bar Charts were plotted to display the students' performance in the courses. The mean absolute errors, RMS error and relative absolute error all read 0% while the kappa value obtained from the analysis ranged between 0.991 – 1.00 which perfectly agrees for most statistical values.

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Impact of fluctuation interferences to the responders performance of secondary surveillance radar system

Impact of fluctuation interferences to the responders perfor...

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International Conference on Radio Electronics & Info communications (UkrMiCo)

作者： I.V. Svyd A.E. Goriushkina G.E. Zavolodko O.S. Maltsev Dept. Radiotechnologies Information and Communication Systems Kharkiv National University of Radio Electronics KNURE Kharkiv Ukraine Department of Computer science and Programming National Technical University «KhPI» NTU «KhPI» Kharkiv Ukraine Department of Information Systems National Technical University «KhPI» NTU «KhPI» Kharkiv Ukraine

ISBN: (数字)9781538652640

ISBN: (纸本)9781538652657

The principle of network construction and the principle of request signals service of Secondary surveillance radar systems predetermined the work of the respondents of the considered systems in conditions of intra-system and intentional correlated and uncorrelated interferences. The article estimates the impact of masking fluctuation interferences on the quality of the request signals detection. It is shown that the choice of time-interval codes as the request signals predetermined the low noise immunity of the considered systems when a channel is exposed by the fluctuation interference.

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Foundations of Intelligent Systems 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Troels Andreasen Henning Christiansen Juan-Carlos Cubero Zbigniew W. Raś

ISBN: (数字)9783319083261

ISBN: (纸本)9783319083254

This book constitutes the refereed proceedings of the 21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014, held in Roskilde, Denmark, in June 2014. The 61 revised full papers were carefully reviewed and selected from 111 submissions. The papers are organized in topical sections on complex networks and data stream mining; data mining methods; intelligent systems applications; knowledge representation in databases and systems; textual data analysis and mining; special session: challenges in text mining and semantic information retrieval; special session: warehousing and OLAPing complex, spatial and spatio-temporal data; ISMIS posters.

关键词： Artificial Intelligence Data Mining and Knowledge Discovery Database Management information Storage and Retrieval information Systems Applications (incl. Internet) User Interfaces and Human Computer Interaction

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Analysis of Hardware and Software Tools for Implementation of Cognitive Radio Networks

Analysis of Hardware and Software Tools for Implementation o...

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International Conference on information Science and communications Technologies (ICISCT)

作者： Ernazar Reypnazarov Halimjon Khujamatov Doston Khasanov Zamira Allamuratova Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Dean of the Computer Enjineering Faculty Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of Data Communication Networks and Systems Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of Information-Computer Technologies and Programming Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan

This paper analyzes of the hardware and software tools for implementing a cognitive radio network. In particular, software-configurable radio modules, which are considered the main element of the cognitive network, were studied according to their main characteristics, among which the widely used ones were comparatively analyzed. As a result of the analysis, the HackRF One device was selected as the most preferred option for cognitive network research, and its working principles, structure, and characteristics were revealed in detail. It also provides information about the GNU Radio software environment and its capabilities, which are used to operate the HackRF One device.

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