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8th International conference on Computational Linguistics and Intelligent Systems. Volume ii: modeling, Optimization, and controlling in Information and Technology Systems Workshop, MOCITSW-CoLInS 2024

作者： Peredrii, Olena Vnukova, Nataliya Davydenko, Daria Pyvovarov, Vasyl Hlibko, Serhii Opeshko, Nataliya Scientific and Research Institute of Providing Legal Framework for the Innovative Development of National Academy of Law Sciences of Ukraine Chernyshevska street 80 Kharkiv61002 Ukraine Simon Kuznets Kharkiv National University of Economics Nauky Avenue 9-A Kharkiv61166 Ukraine Sigma Software LLC 7d Naukova Str. Lviv79000 Ukraine National Scientific Center «Hon. Prof. M. S. Bokarius Forensic Science Institute» of the Ministry of Justice of Ukraine Zolochivska street 8a Kharkiv61177 Ukraine Yaroslav Mudryi National Law University 77 Pushkinska street office 91 Kharkiv61024 Ukraine

The article examines the key principles of using applied intelligent systems in the economic analysis of Ukraine’s innovation potential, which significantly improves the processes of management algorithm construction and, as a result, creates a favorable environment for innovative development. It presents an algorithm for measuring the country’s innovation potential, which is based on basic methods applied for the analysis, distribution, and classification of input data space. The advantages of applying the principal component method are identified, along with a procedure for using it to determine key indicators for assessing the country’s innovation potential. An approach to determining innovation potential is formed based on intelligent data processing, allowing for the analysis and visualization of large volumes of data, as well as the identification of trends, key factors, and indicators influencing innovation activity in Ukraine. The research also justifies the feasibility and proposes an approach to using modern intelligent systems for continuous monitoring and control of the level of innovation activity, as well as for identifying and forecasting risks and issues, and determining possible ways to address them. © 2024 Copyright for this paper by its authors.

关键词： Intelligent systems

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An analysis of Random Non-deterministic Signals Using Recursive Methods and Stochastic control System

An Analysis of Random Non-deterministic Signals Using Recurs...

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International conference on Advances in data Science and Computing Technologies, ASDC 2022

作者： Singha, Tanmoy Misra, Lisha Dutta, Joydeep Dhar, Rudra Sankar Biswas, Arindam Department of Electronics and Communication Engineering National Institute of Technology Mizoram Mizoram Aizawl796012 India Asansol Institute of Engineering & Management-Polytechnic Asansol713339 India Department of Computer Science and Engineering Siliguri Institute of Technology Sukna West Bengal Darjeeling734009 India School of Mines and Metallurgy Kazi Nazrul University West Bengal Asansol713340 India

ISBN: (纸本)9789819936557

In order to simplify the analysis of processes as well as the design of controllers, discrete domain analysis is a powerful tool since it reduces characteristic roots from infinite to finite numbers. Our work focuses on the process of introducing discretization to the domain conversion, as well as considering a recursive method for analyzing random non-deterministic data. With the proper discretization of tuned stable systems, nonlinear modeling of a system can be designed. Several simulations are used in this paper to demonstrate the application of non-deterministic, stochastic control theory. A method for controlling random non-deterministic signals based on sampled data has also been developed, and the time complexity has been analyzed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Stochastic control systems

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Airport Ground Operation Optimization based on two Region Macroscopic Fundamental Diagrams 8

Airport Ground Operation Optimization based on two Region Ma...

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8th International conference on Electromechanical control Technology and Transportation, ICECTT 2023

作者： Jin, Weiqing Han, Ke Institute of System Science and Engineering School of Transportation and Logistics Southwest Jiaotong University chengdu China

ISBN: (纸本)9781510668331

As a crucial component of public transportation, air travel has always been a focal point for comprehensive control optimization. One of the most significant bottlenecks in the air traffic management system is the ground taxiing process, which substantially affects the operational efficiency of civil aviation public transport. This study proposes a novel approach that integrates a macroscopic basic map with airport operation management. The macro basic chart is a graphical representation of flight flow and resource usage, which visually displays flight numbers, takeoff and landing times, as well as parking space utilization. Through the use of the macro basic map, airport managers may gain a better understanding of airport operations, leading to the implementation of more effective management strategies. The objective of this research is to utilize the macroscopic basic map to represent the flight flow and resource utilization of the airport, and employ data analysis and modeling to enhance airport operation efficiency and profitability. To calibrate and verify the proposed method, historical data from Beijing Capital International Airport (ZBAA) were utilized. In this paper, a real-time control approach using a micro-simulated airport cellular automaton (ACA) is introduced to depict and predict the traffic and congestion dynamics of the airport ground network. The ACA model is employed to derive a network level macroscopic fundamental diagram (MFD) that captures critical demand-supply interactions by describing the aggregated behavior of network traffic in terms of average density and trip completion rate. The MFD model is then validated using empirical data, and aims to simplify the modeling process while still capturing the main dynamic characteristics of congestion. In general, the airport operation management based on the macro basic map may achieve the following benefits: improve the efficiency of airport operations, increase airport efficiency, enhance flight

关键词： Real time control

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LMS cluster data analysis for correcting students' learning 2

LMS cluster data analysis for correcting students' learning

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2nd International conference on Computer Applications for Management and Sustainable Development of Production and Industry, CMSD 2022

作者： Levin, Semen M. Tomsk State University of Control Systems and Radioelectronics 40 prospect Lenina Tomsk634050 Russia

ISBN: (纸本)9781510662452

This article deals with the analysis of data obtained from databases of learning management systems to organize student-centred learning with the application of course adaptation methods by changing the set of asynchronous and synchronous learning tools. The relevance of the research in this area is due to the current teaching paradigm as well as the increasing volume of digital data available to universities. The aim of the study is to investigate the possibility of effectively influencing the educational process based on the results of data aggregated from learning management systems (LMS) using cluster analysis. The results of the study confirm the possibility of dividing students into clusters based on their success in perceiving synchronous and asynchronous educational methods, and the effectiveness of corrective impact on the respective clusters of students to improve academic performance. As a conclusion the author made a statement about the effectiveness of practical everyday application of learning analytics aimed at person-centred learning. © 2023 SPIE

关键词： Students

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18th International conference on Research Challenges in Information Science, RCIS 2024

18th International Conference on Research Challenges in Info...

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18th International conference on Research Challenges in Information Science, RCIS 2024

ISBN: (纸本)9783031594670

The proceedings contain 42 papers. The special focus in this conference is on Research Challenges in Information Science. The topics include: ExpO: Towards Explaining Ontology-Driven Conceptual Models;translucent Precision: Exploiting Enabling Information to Evaluate the Quality of process Models;IPMD: Intentional process Model Discovery from Event Logs;forensic-Ready analysis Suite: A Tool Support for Forensic-Ready Software Systems Design;control and Monitoring of Software Robots: What Can Academia and Industry Learn from Each Other?;Creating a Web-Based Viewer for an ADOxx-Based modeling Toolkit;ontology-Based Interaction Design for Social-Ecological Systems Research;Scriptless and Seamless: Leveraging Probabilistic Models for Enhanced GUI Testing in Native Android Applications;Identifying Relevant data in RDF Sources;novelty-Driven Evolutionary Scriptless Testing;strengthening Cloud Applications: A Deep Dive into Kill Chain Identification, Scoring, and Automatic Penetration Testing;improving Understanding of Misinformation Campaigns with a Two-Stage Methodology Using Semantic analysis of Fake News;Automated Scriptless GUI Testing Aligned with Requirements and User Stories;towards a Cybersecurity Maturity Model Specific for the Healthcare Sector: Focus on Hospitals;towards a Hybrid Intelligence Paradigm: Systematic Integration of Human and Artificial Capabilities.

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18th International conference on Research Challenges in Information Science, RCIS 2024

18th International Conference on Research Challenges in Info...

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18th International conference on Research Challenges in Information Science, RCIS 2024

ISBN: (纸本)9783031594649

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The method of building firing table based on known data

The method of building firing table based on known data

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2021 International conference on Computational modeling, Simulation, and data analysis, CMSDA 2021

作者： Wang, Guan-Da Chen, Zhi-Ying Nanjing University of Science and Technology Nanjing210094 China

ISBN: (纸本)9781510651968

In the process of analysis and design of fire control system, we need to use firing table data with practical reference value, but such data is often not easy to obtain. In this paper, according to the rigid principle of gun firing process, based on the fitting function of the open firing table, the one-dimensional firing table which only contains the firing results of ground targets is extended to the two-dimensional firing table which contains the height by the method of digital simulation. The shooting table includes the basic shooting table under ideal conditions and the modified shooting table under different meteorological and ballistic conditions. The rationality of the modified shooting table is verified by the way of shooting table fitting and trajectory reconstruction. This method provides an effective method for the process of building gun firing table. With this method, firing table can be generated for further scientific research under the condition of less data. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Fire control systems

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Traffic Anomaly Detection Using Deep Semi-Supervised Learning at the Mobile Edge

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2022年第8期71卷 8919-8932页

作者： Pelati, Annalisa Meo, Michela Dini, Paolo Politecn Torino Dept Elect & Telecommun Turin Italy Politecn Torino Ctr Tecnol Telecomunicac Catalunya CTTC CERCA Turin Italy

In this paper, we design an Anomaly Detection (AD) framework for mobile data traffic, capable of identifying different types of anomalous events generated by flash crowds in metropolitan areas. We state the problem using a semi-supervised approach and exploit the great performance of different Recurrent Neural Network (RNN) models to learn the temporal context of input sequences. Our proposal processes real traffic traces from the unencrypted LTE Physical Downlink control Channel (PDCCH) of an operative network, gathered during an extensive measurement campaign in two major cities in Spain. The AD framework is designed to perform: i) a-posteriori analysis to understand users' behavior and urban environment variations;ii) real-time analysis to automatically and on-the-fly alert urban anomalies;and iii) estimation of the duration of the periods identified as anomalous. Numerical results show the higher performance of our AD framework compared to classic AD algorithms and confirm that the proposed framework predicts anomalous behaviours with high accuracy and regardless of their cause.

关键词： Deep learning Urban areas Real-time systems Proposals data models process control Long Term Evolution Anomaly detection mobile networks traffic modeling smart cities remote sensing edge computing distributed learning

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Industry Internet of Things (iioT) Adoption Pressures in SME OEMs 8

Industry Internet of Things (IIoT) Adoption Pressures in SME...

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8th International conference on Inventive Systems and control, ICISC 202

作者： Despande, Prassana Kumar Chandar, S. Elangovan, N. Christ University School of Business & Management Karnataka Bangalore India

ISBN: (纸本)9798350386578

Small and Medium Original Equipment Manufacturers (SME OEMs) face challenges in iioT adoption due to a lack of technical expertise, additional costs, and preferences of the end-users and significant institutional pressures. This research investigates the influence of Environmental Attitude on the Adoption Intention of Industry Internet of Things (iioT) technologies among Small and Medium Enterprises and Original Equipment Manufacturers (SME-OEMs). This research analyses the effects of End-user Pull and Institutional Pressure in this relationship. A survey of 263 SME OEMs from 11 industrial sectors across 67 cities was conducted using purposive sampling. Structural Equation modeling (SEM) was used to analyze data, assessing direct and indirect effects. Results show a significant positive relationship between Environmental Attitude and iioT Adoption Intention. Mediation analysis reveals significant indirect effects through End-user Pull and Institutional Pressure, with complete mediation as the direct effect becomes insignificant. Findings highlight the crucial role of environmental attitude in shaping iioT adoption intentions among SMEs. A positive environmental attitude drives SMEs to explore iioT benefits. End-user Pull and Institutional Pressure are key mediators in this process. These insights are valuable for industry stakeholders, policymakers, and SMEs aiming to promote iioT adoption. Fostering a positive environmental attitude and leveraging End-user Pull and Institutional Pressure can facilitate iioT adoption. Policymakers can create initiatives to raise environmental awareness and encourage sustainable practices through iioT. Industry players can form strategic partnerships to support SME OEMs in iioT adoption. © 2024 IEEE.

关键词： End-user Pull Environmental Attitude iioT adoption Institutional Pressure Mediation analysis SME OEMs Structural Equation modeling

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Integrating Object Detection and Advanced Analytics for Smart City Crowd Management 20

Integrating Object Detection and Advanced Analytics for Smar...

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20th IEEE International conference on Networking, Sensing and control, ICNSC 2023

作者： Prezioso, Edoardo Giampaolo, Fabio Izzo, Stefano Savoia, Martina Piccialli, Francesco University of Naples Federico Ii Dept. of Mathematics and Applications "r. Caccioppoli" Italy

ISBN: (纸本)9798350369502

In the context of rapidly advancing smart cities, efficient crowd analysis plays a crucial role in ensuring public safety, urban planning, and resource management. This paper presents a novel framework that combines the popular You Only Look Once (YOLO) object detection algorithm with advanced crowd analysis techniques, aiming to improve the understanding and management of urban crowd dynamics. The proposed framework leverages YOLO's real-time object detection capabilities to detect various objects within video frames, with a particular focus on identifying individuals. To initiate the crowd analysis process, the detected persons are isolated and tracked over time, enabling the collection of valuable data for comprehensive crowd behavior analysis. By leveraging this rich dataset, the framework enables the extraction of key crowd characteristics, such as crowd density, crowd flow patterns, crowd distribution, and crowd congestion levels. Moreover, the framework incorporates techniques to analyze the extracted data, offering valuable insights into crowd dynamics. © 2023 IEEE.

关键词： Object detection

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