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International Russian Smart Industry Conference (SmartIndustryCon)

作者： Ruslan Akhmadeev Yurii Litvinov Anastasiya Grigorieva Department of Computer Science Saint Petersburg State University Saint Petersburg Russia Department of System Programming Saint Petersburg State University Saint Petersburg Russia

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

Acoustic emission (AE) is one of the most relevant and cost-effective non-destructive testing methods for identifying defects in industrial objects. This paper addresses two primary tasks in defectoscopy: locating hazardous AE zones and classifying signals according to the presumed defect type. Through our research, we have determined and experimentally confirmed that the most suitable machine learning method for localization is a modified DBSCAN, while Agglomerative Clustering is optimal for typification. This paper details the specific tuning and modifications applied to these methods for AE. The resulting models were successfully tested on real-world data. The accuracy of the localization results was assessed using statistical analysis and consultations with AE experts, while typification was validated probabilistically and tested on sample data.

关键词： Location awareness Accuracy Recurrent neural networks Statistical analysis Acoustic emission Probabilistic logic Real-time systems Reliability Tuning Testing

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Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery

Integration of weighted majority voting in machine learning ...

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2024 Symposium on Beyond the Canopy: Technologies and Applications of Remote Sensing

作者： Hosingholizade, Ali Erfanifard, Yousef Alavipanah, Seyed Kazem Pirasteh, Saied Garcia Millan, Virginia Dept. of Remote Sensing and GIS Faculty of Geography University of Tehran Tehran Iran Institute of Artificial Intelligence School of Mechanical and Electrical Engineering Shaoxing University China Department of Geotechnics and Geomatics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai602105 India Dept. of Computer Science and Programming Languages School of Computer Science and Enginering University of Málaga Málaga Spain

The shape and area of the crown of each tree are among the most influential parameters for identifying and controlling the processes of photosynthesis, respiration, transpiration and its management. In such a way that various physiographic functions, such as carbon dioxide absorption, light energy absorption, oxygen release and transpiration, which are vital for the growth and development of the tree, are done in the crown. In this research, the RGB image of the UAV with a spatial resolution of 2 cm was resampled to three pixel sizes of 10, 30 and 50 cm. Then, each image was classified separately by SVM, ANN and MLC algorithms, which are all part of Ensemble. In the next step, each of the obtained crowns was compared with the digitization of the same crown, and based on the area of the crown obtained from each classification and normalization method, the weight was obtained specifically for the same crown. Finally, by using the weighted majority voting method, classifications were fusioned at the decision level. The results showed that the ANN method gives better results in all pixel sizes compared to MLC and SVM. Also, the combination of different classification methods with the weighted majority voting method based on the weight assigned to the same crown based on each classification method has significantly increased the classification accuracy of the tree crown in all the sizes of the analyzed pixels. © Author(s) 2024.

关键词： Pixels

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Simulation Model of Data Consistency Protocol for Multicloud Systems 3

Simulation Model of Data Consistency Protocol for Multicloud...

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Kozina, Olha Kozin, Mykyta National Technical University 'Kharkiv Polytechnic Institute' Department of Computer Engineering and Programming Kharkiv Ukraine Kharkiv Nation University of Radio Electronics Department of Information Control System Kharkiv Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

The development of multi-cloud systems with an acceptable level of service delays that significantly affect the quality of the end-users experience is an open research problem, for which simulation is successfully used. This paper proposes a simulation model in Matlab for estimating the time to write data updates initiated by the end-users to the databases of all cloud service providers for a multi-cloud system with a geo-distributed middleware that implements, as an example, the VIP-grab data consistency protocol. The simulation results indicate that our model can be useful in choosing a data consistency protocol that influences the architecture of a multicloud system. © 2022 IEEE.

关键词： MATLAB

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A Generalization of σ-Permutability

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Communications in Mathematics and Statistics 2022年第3期10卷 565-579页

作者： Zhigang Wang Jin Guo Inna N.Safonova Alexander N.Skiba School of Science Hainan UniversityHaikou 570228HainanPeople’s Republic of China Department of Applied Mathematics and Computer Science Belarusian State University220030 MinskBelarus Department of Mathematics and Technologies of Programming Francisk Skorina Gomel State University246019 GomelBelarus

Throughout this paper,all groups are finite and G always denotes a finite group;σis some partition of the set of all primes P.A group G is said to beσ-primary if G is aπ-group for someπ∈σ.Aπ-semiprojector of G[29]is a subgroup H of G such that HN/N is a maximalπ-subgroup of G/N for all normal subgroups N of ***П⊆σ.Then we say thatχ={X_(1),...,X_(t)}is aП-covering subgroup system for a subgroup H in G if all members of the setχareσ-primary subgroups of G and for eachπ∈Пwithπ∩π(H)≠φthere are an index i and aπ-semiprojector U of H such that U≤X_(i).We study the embedding properties of subgroups H of G under the hypothesis that G has aП-covering subgroup systemχsuch that H permutes with X^(x)for all X∈χand x∈*** well-known results are generalized.

关键词： Finite group σ-nilpotent group П-semiprojector П-covering subgroup system σ-subnormal subgroup

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Effectiveness of Performance Visualizations for Declarative Model Transformations

Effectiveness of Performance Visualizations for Declarative ...

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IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT)

作者： Raffaela Groner Matthias Tichy Dept. of Computer Science and Engineering Chalmers | University of Gothenburg Gothenburg Sweden Institute of Software Engineering and Programming Languages Ulm University Ulm Germany

ISBN: (数字)9798331528485

ISBN: (纸本)9798331528492

Several profilers for general-purpose languages like Java offer visualizations to support users in understanding the execution of a program and identifying the causes of a performance issue. Unfortunately, these performance visualizations are difficult to reuse in profilers for declarative model transformations since they cannot display transformation-specific information. For example, a profiler for a declarative model transformation language must provide information on the traversal of the input model since it impacts the performance but is hidden from the developer. Moreover, the respective visualization must scale for input models that consist of several thousand model elements. Hence, we developed performance visualizations for the declarative model transformation language Henshin that provide insights into the transformation execution. Subsequently, we performed a mixed methods study with 18 Henshin novices to evaluate the effectiveness of our visualizations. In our study, the participants tried to improve the execution performance of four transformations by performing a root cause analysis using our visualizations. The results of our study show that depending on the task, between 16 and 18 participants understood the execution of a transformation correctly based on our visualizations. Moreover, between 12 and 18 participants proposed effective optimizations using our visualizations.

关键词： Visualization Root cause analysis Java Color Software Encoding Data mining Optimization

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Data Poisoning: Issues, Challenges, and Needs 7

Data Poisoning: Issues, Challenges, and Needs

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7th IET Smart Cities Symposium, SCS 2023

作者： Aljanabi, Mohammad Omran, Alaa Hamza Mijwil, Maad M. Abotaleb, Mostafa El-Kenawy, El-Sayed M. Mohammed, Sahar Yousif Ibrahim, Abdelhameed Department of computer College of Education Aliarqai university Baghdad Iraq University of information technology and communications Baghdad Iraq 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 Science Department Computer Science &Information Technology College Anbar University Anbar Iraq Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9781839539831

Data poisoning attacks, where adversaries manipulate training data to degrade model performance, are an emerging threat as machine learning becomes widely deployed in sensitive applications. This paper provides a comprehensive overview of data poisoning including attack techniques, adversary incentives, impacts on security and reliability, detection methods, defenses, and key research gaps. We examine label flipping, instance injection, backdoors, and other attack categories that enable malicious outcomes ranging from IP theft to accidents in autonomous systems. Promising detection approaches include statistical tests, robust learning, and forensics. However, significant challenges remain in translating academic defenses like adversarial training and sanitization into practical tools ready for operational use. With safety and trustworthiness at stake, more research on benchmarking evaluations, adaptive attacks, fundamental tradeoffs, and real-world deployment of defenses is urgently needed. Understanding vulnerabilities and developing resilient machine learning pipelines will only grow in importance as data integrity is fundamental to developing safe artificial intelligence. © The Institution of Engineering & Technology 2023.

关键词： Machine learning

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Ottoman OCR: Printed naskh font

Ottoman OCR: Printed naskh font

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2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021

作者： Dolek, Ishak Kurt, Atakan Sakarya Applied Sciences University Computer Programming Dept. Sakarya Turkey Istanbul University-Cerrahpasa Computer Engineering Dept. Istanbul Turkey

ISBN: (纸本)9781665436038

We present an OCR tool developed for printed Ottoman documents in naksh font as part of a project named End-to-End Conversion of Ottoman Documents to Modern Turkish This tool uses a deep learning model trained with a data set containing original and synthetic documents. We conducted an experimental comparison of this tool named *** with Tesseract Arabic, Tesseract Persian, Abby Finereader, Miletos and Google Docs OCR tools (or models) using a test data set comprised of 21 pages of original documents. With 88, 64% raw, 95, 92% normalized and 97, 18% joined character recognition accuracy rates, *** outperformed the other tools with a marked difference. *** also achieved 58% word recognition accuracy which is the only rate over 50% among the OCR tools compared. We shared the test data set, ground truth, OCR outputs and the test program written in Python using difflib at ***/test for independent verification. © 2021 IEEE.

关键词： Software testing

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Analysis of Leakage Magnetic Field of Rectangular Shaped Defects in Magnetic Materials and Investigation of Magnetic Fluids in the Field

Analysis of Leakage Magnetic Field of Rectangular Shaped Def...

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International Conference on Nanomaterials: Application & Properties (NAP)

作者： Esma Nur Savranguler Samed Gumus Yavuz Ozturk Coskun Harmansah Mechanical Engineering Izmir Democracy University Izmir Turkey Electrical Electronics Engineering Ege University Izmir Turkey Computer Programming Vocational School Izmir Turkey

ISBN: (数字)9798350380125

ISBN: (纸本)9798350380132

Magnetic Particle Inspection (MPI) is a non-destructive testing (NDT) technique widely used in industry to detect surface and sub-surface flaws in ferromagnetic materials. MPI is a simple, fast, and cost-effective technique, particularly useful for evaluating the integrity of welds and critical parts. Detecting surface and sub-surface defects in ferromagnetic materials is essential for ensuring product quality, safety, performance, and regulatory compliance across various industries. Therefore, in this study, the magnetic field and its gradient for rectangular prism-shaped defects in ferromagnetic materials were analyzed. The magnetic fields were calculated using analytical equations. The magnetic field of a 2x7x19 mm sized permanent magnet was measured using a gaussmeter to verify theoretical results. Subsequently, these analyses were used to interpret the forces acting on non-interacting micro to nano-sized particles and magnetic fluid on the crack region. The EFH-1 light hydrocarbon-based magnetic fluid, with an average particle size of about 11.6 nm, was used to experimentally study a 1x1.5x62.5 mm crack on a solid magnetic material. The distribution of the magnetic fluid on the crack was studied for different heights and magnetic field values. For a 2 ml layer of EFH-1 at a height of 2-3.5 mm from the magnetized material, a nearly Gaussian-shaped fluid distribution with a width of around 3.7-5.0 mm was observed. The experimental results are presented and compared with the theoretical analysis.

关键词： Industries Ferrofluid Welding Magnetic liquids Ferromagnetic materials Solids Size measurement Magnetic analysis Magnetic fields Testing

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Advanced IOT Traffic Light Control System 5

Advanced IOT Traffic Light Control System

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5th International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2023

作者： Hamad, Martin Abou El Hajj, Antonio Daou, Roy Abi Zeid Hayek, Ali Haidar, Gaby Abou Lebanese German University Faculty of Public Health Biomedical Technologies Department Lebanon MART Learning Education and Research Center Lebanon University of Kassel Department of Computer Architecture and System Programming Kassel Germany American University of Science and Technology Engineering Faculty Zahle Lebanon

ISBN: (纸本)9798350309959

For several years, traffic congestion has been a major problem in big cities where the number of cars and different means of transportation has been increasing significantly. The problem of congestion is becoming more and more critical, and if not treated smartly this issue will negatively affect drivers by wasting time and fuel gas while waiting for hours in lanes. This paper presents a new and smart way to mitigate this issue in an affordable cost, minimum processing power, and low power consumption. This concept takes into consideration the majority of the cases that may cause congestion and presents a smart and accurate outputs to ease traffic flow leading to the prediction of the peak hours of traffic congestion for smarter control. A model is designed to study the case of a four lanes crossroad with two traffic lights and two LCD monitors. The strategy in reading data is divided into two parts: real data from sensors and pre collected data from google maps to create a kind of a predicted pattern over a certain time interval. The responsiveness of the system is analyzed thoroughly, and the accuracy of all possible cases is carefully considered and evaluated. Each part of the system was tested alone, and the overall system is still in an ongoing testing phase. The results have shown minimum faulty errors and accepted outputs that can lead to safe traffic control decisions. Finally, integrating more IoT devices and sensors between V2V, V2P, V2I with the help of artificial intelligence will definitely optimize this system with higher accuracy. © 2023 IEEE.

关键词： Traffic congestion

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GAIWAP (Gait Analysis to Determine the Improvement of Walking Ability in People with Disabilities)

GAIWAP (Gait Analysis to Determine the Improvement of Walkin...

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2025 International Conference on Control, Automation, and Instrumentation, IC2AI 2025

作者： Borcsok, Josef Schwarz, Michael H. Drabesch, Malte Kinsch, Christian Strobl, Walter Michael Sengolge, Mathilde Breitenbach, Jurgen University of Kassel Dept. of computer architecture and system programming Kassel Germany Universität für Weiterbildung Krems Fakultät für Gesundheit und Medizin Medizin und Forschung Zentrum für Gesundheitswissenschaften und Medizin Dept. für Gesundheitswissenschaften KremsA-3500 Austria

ISBN: (纸本)9798331529604

The use of complex electronic systems in medical technology applications is constantly increasing. These systems are becoming increasingly important, particularly in the area of analyzing the progress of treatment, as they can be used to identify any deficits that may still exist. Although systems are now available from a number of manufacturers, they are not always applicable to all mobile problems, so approaches with adapted system technology must be used. © 2025 IEEE.

关键词： Gait analysis

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