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Technology Enhanced Learning in Higher Education (TELE), International Conference on

作者： Alexander Galkin Artem Miroshnikov Daniil Sapronov Elena Skarzhinskaya Faculty of Automation and Computer Science Lipetsk State Technical University Lipetsk Russia Department of Applied Mathematics Lipetsk State Technical University Lipetsk Russia Lipetsk branch of the Russian Federation of Sports Programming Lipetsk Russia Department of Cybersport Moscow Financial and Industrial University “Synergy” Moscow Russia

ISBN: (数字)9798350353532

ISBN: (纸本)9798350353549

Abstract-The article presents the history of the development of sports programming as a sport in Russia. The main stages of the formation of the legislative basis for this sport are given. The rationale and description of the process of training athletes in higher education institutions are given - possible traj ectories in the disciplines of “algorithmic programming” and “product programming”, the influence of the development of sports programming on improving the quality of IT education. As an example, the organization of training students in the discipline of “algorithmic programming” at the Lipetsk State Technical University is given. The activities of the Lipetsk regional branch of the All- Russian Sports Federation to popularize this sport including among students are also described.

关键词： Training Industries Organizations History programming profession Sports

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Evaluating Keyphrase Extraction Methods for Clustering Influenza-Related Scientific Papers 8

Evaluating Keyphrase Extraction Methods for Clustering Influ...

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8th International Iranian Conference on Signal Processing and Intelligent Systems, ICSPIS 2022

作者： Forghani, Majid Firstkov, Artyom Alyannezhadi, Mohammad. M. Forghani, Kazem Krasovskii Institute of Mathematics & Mechanics Mathematical Programming Lab. Yekaterinburg Russia University of Science and Technology of Mazandaran Department of Science Behshahr Iran Iran University of Science and Technology Computer Science Department Tehran Iran

ISBN: (纸本)9781665476232

The number of annual scientific publications is growing year by year, which has led to the accumulation and formation of large databases. This increases the complexity of the search for relevant articles. Modern search engines leverage keyphrases to improve the performance of search results. Keyphrases (or keywords) are a set of single or multi-word expressions which provide a very compact summary of contents and describe the overall topic of a document. Implementation of keyphrase extraction can be varied for specific-domain databases. This motivated us to evaluate these methods on a database of influenza scientific literature. In this work, we considered 9 well known methods for extracting keyphrases. Our preliminary results show txhat graph-based methods which employ topics outperform others using our database. We also determined that influenza-related papers can be grouped into three general topics: public health & medical care;molecular biology & immunology;and phylogenetic & epidemiological studies. © 2022 IEEE.

关键词： Database systems

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Migrating Birds Optimization-Based Feature Selection for Text Classification

arXiv

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arXiv 2024年

作者： Kaya, Cem Kilimci, Zeynep Hilal Uysal, Mitat Kaya, Murat Dogus University Turkey Department of Information Systems Engineering Kocaeli University Turkey Department of Software Engineering Dogus University Turkey Department of Computer Programming Acibadem University Turkey

This research introduces a novel approach, MBO-NB, that leverages Migrating Birds Optimization (MBO) coupled with Naive Bayes as an internal classifier to address feature selection challenges in text classification having large number of features. Focusing on computational efficiency, we preprocess raw data using the Information Gain algorithm, strategically reducing the feature count from an average of 62221 to 2089. Our experiments demonstrate MBO-NB's superior effectiveness in feature reduction compared to other existing techniques, emphasizing an increased classification accuracy. The successful integration of Naive Bayes within MBO presents a well-rounded solution. In individual comparisons with Particle Swarm Optimization (PSO), MBO-NB consistently outperforms by an average of 6.9% across four setups. This research offers valuable insights into enhancing feature selection methods, providing a scalable and effective solution for text classification. © 2024, CC BY-NC-ND.

关键词： Feature Selection

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Sensing Metric-Based Hybrid Underlay/Overlay Transmission Framework for CR-IoT Networks for Smart City Applications 7

Sensing Metric-Based Hybrid Underlay/Overlay Transmission Fr...

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7th IET Smart Cities Symposium, SCS 2023

作者： Bala, Indu Mijwil, Maad M. Abotaleb, Mostafa El-Kenawy, El-Sayed M. Ibrahim, Abdelhameed School of Electrical and Electronics Engineering Lovely Professional University Punjab India Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9781839539831

With the increasing number of IoT devices, there is a growing need for bandwidth to support their communication. Unfortunately, there is a shortage of available bandwidth due to preallocated bands for various services. To address this issue, Cognitive Internet of Things (CR-IoT) enables devices to optimize their efficiency and enhance their communication capabilities by intelligently accessing available bandwidth. This is achieved through the use of soft sensing metrics, where devices continuously monitor the RF environment and transmit data opportunistically in overlay mode if a free channel is detected, or in underlay mode if not. In this paper, a soft sensing metric based hybrid transmission framework is proposed for CR-IoT devices to meet the data rate requirement for the smart city applications. The efficacy of this approach is demonstrated through simulation results. © The Institution of Engineering & Technology 2023.

关键词： Smart city

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Development of a Navigation System on the University Territory Using Augmented Reality Technology

Development of a Navigation System on the University Territo...

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International Scientific-Practical Conference Problems of Infocommunications Science and Technology

作者： Olena Chernykh Oleksandr Zakovorotniy Heorhii Hrianyk Leonid Kosmin Yelizaveta Bondarenko Computer Engineering and Programming Department Kharkiv Polytechnic Institute National Technical University Kharkiv Ukraine

AR navigation is one of the interactive ways to use augmented reality. By displaying virtual guides in physical space using a smartphone, users can navigate from point to point more naturally than by comparing the map to their immediate environment. Thanks to this great advantage, AR navigation can help in searching both inside the academic building and on the territory of the institute. In this paper, the authors used 3DUnity and AR Foundation to create a navigation system around the territory of NTU "KhPI" using augmented reality technology. This development will allow you to navigate the terrain of the KhPI campus, find the location of the desired building, and also look the route from building to building on the map. The whole process is displayed on the smartphone screen. Real-time synchronization allows users in real world to feel virtual space, thereby enhancing poignancy and interaction, and making effect more vivid and almost real.

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Collaboration And Versioning Framework – A Systematic Top-Down Approach

Collaboration And Versioning Framework – A Systematic Top-D...

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Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)

作者： Jakob Pietron Alexander Raschke Joeri Exelmans Matthias Tichy Institute of Software Engineering and Programming Languages Ulm University Ulm Germany Department of Computer Science University of Antwerp – Flanders Make Antwerp Belgium

CONTEXT: Versioning allows users to efficiently create and evolve artifacts, not only but especially in the domain of model-driven engineering. Due to collaboration tools, the place and time where users jointly work at their artifacts do not play an important role anymore. Objective: We systematically elaborated a classification framework for collaboration and versioning tools. The intention is threefold: First, it should be possible to classify existing approaches. Second, deriving from user goals requirements to be met, and capabilities to be supported by a new tool. Third, given a set of capabilities, highlight which user goals can be achieved. Method: According to Kang and Lee, we systematically elaborated a problem space and a solution space and created mappings between both spaces and their sub-spaces. To demonstrate the applicability, we classified existing VCS like git, Google Docs, and several MDE-specific approaches. Results: The created feature diagram covers 238 features and contains about 87 constraints. Conclusion: The developed framework supports researchers and developers in classifying their tools, revealing new opportunities to improve their tools, and guiding the development of new tools.

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An Experiment to Evaluate IoT Application Security Scheme (IoTGazePass)

An Experiment to Evaluate IoT Application Security Scheme (I...

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2022 International Conference on Engineering and MIS, ICEMIS 2022

作者： Keshlaf, Ayad A. Alfard, Faheemah M. Bouzid, Omar M. Sabratha University Faculty of Engineering Computer Eng. and It Department Sabratha Libya Libyan Center for Electronic Systems Programming and Aviation Research University of Zawia Computer Department Faculty of Engineering Zawia Libya University of Gharyan Faculty of Engineering Elec. and Electronic Eng. Dept Gharyan Libya

ISBN: (数字)9781665454360

ISBN: (纸本)9781665454360

IoTGazePass is a new password scheme that has been designed to tackle the weaknesses of existing types of passwords. It is intended to be suitable for IoT applications. An experiment was conducted to evaluate the strengths and weaknesses of the IoTGazePass scheme (e.g., security, usability and memorability). The evaluation aspects include a comparison with traditional textual and graphical based passwords in terms of memorability and security of the passwords. The results of the evaluation indicate that the IoTGazePass scheme is easy to use, memorable and flexible, as it can generate strong, secure and scalable passwords. The experiment results have also showed that the IoTGazePass scheme have good ability to deal with shoulder surfing attacks. In fact, the experiment results lead to some recommendations and suggestions to improve the planned performance. © 2022 IEEE.

关键词： Authentication

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Functional Model of an Electrocardiological Study

Functional Model of an Electrocardiological Study

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International Scientific-Practical Conference Problems of Infocommunications Science and Technology

作者： Anna Filatova Anatoliy Povoroznyuk Mohamad Fahs Department of Computer Engineering and Programming Kharkiv Polytechnic Institute National Technical University Kharkiv Ukraine

The purpose of this research is to develop a functional model of the electrocardiological study using the methodology of functional modeling IDEF0. The functional model of the electrocardiological study are developed in the form of a contextual diagram, its decomposition, and decomposition of the activities "To perform registration and analysis of electrocardiograms" and "To perform diagnostics". Using the proposed functional model of the electrocardiological study, the structural diagram of the cardiological decision support system is developed based on the morphological analysis of biomedical signals with locally concentrated features. The modules of the proposed cardiological decision support system, as well as the modes of its operation, are considered. Further research is aimed at developing an information model of the electrocardiological study for the development of an informational structure of the cardiological decision support system based on the morphological analysis of electrocardiograms.

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Efficiency Measurement of Compressed Air Compressors Using High Availability SoC with 1oo2 Redundancy Architecture 11

Efficiency Measurement of Compressed Air Compressors Using H...

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11th International Conference on Electronics, Communications and Networks, CECNet 2021

作者： Abdelawwad, Mohamed Hahn, Eike Boercsoek, Josef Fairbrother, Julian Al Shahadat, Tarek Otto, Peter ICAS Institute for Computer Architecture and System Programming University of Kassel Kassel Germany Postberg + Co. GmbH Kassel Germany

ISBN: (纸本)9781643682402

Compressed air systems are essential components in various industrial and everyday applications. The efficiency of these systems is very important due to their role in the energy consumption of industrial plants. To increase efficiency, a new concept for compressed air compressors based on Industry 4.0 is presented. Due to the aggressive environmental conditions in which the compressed air compressors operate, a new design of a SoC with high availability based on 1oo2 redundancy architecture is developed. © 2022 The authors and IOS Press.

关键词： Energy utilization

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Creating a Forecasting Model of Passenger Flows in Non-Scheduled Air Transportation

Creating a Forecasting Model of Passenger Flows in Non-Sched...

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Problems of Logistics, Management and Operation in the East-West Transport Corridor (PLMO), International Conference on

作者： Nadir Aghayev Dashqin Nazarli Department of Computer Systems and Programming National Aviation Academy of the Republic of Azerbaijan Baku Azerbaijan Department of Air Transport Production National Aviation Academy of the Republic of Azerbaijan Baku Azerbaijan

ISBN: (数字)9798350353099

ISBN: (纸本)9798350353105

In the article, a new method of building a forecast model using a fuzzy approach for charter air transportation time series with intra-series multiplicative changes is proposed. The method is based on the use of correlation functions in the calculation of forecast values based on statistical indicators of intra-row changes. In regular air transportation, the changes in the time series of statistical indicators are stable. On charter flights, these changes are unstable. This is due to the strong random effects of external factors (a sudden increase in demand for flights, economic changes, etc.) on the formation of charter flights. For this reason, the application of models based on trend changes does not give good enough results when building forecast models for charter flights. Therefore, to solve the problem, we propose to build a forecast model using a fuzzy approach, using the randomness of the intra-series changes of the statistical indicators of this type of air transportation. The researched method was checked based on the actual data of the time series of charter flights, and the results were obtained within acceptable limits.

关键词： Economics Correlation Atmospheric modeling Time series analysis Buildings Predictive models Air transportation Market research Forecasting Logistics

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