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Iceberg Drafts Assessment using Decision Tree Regression (DTR), Artificial Neural Network (ANN), and Support Vector Regression (SVR) algorithms 27

Iceberg Drafts Assessment using Decision Tree Regression (DT...

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27th International Conference on Port and Ocean engineering under Arctic Conditions, POAC 2023

作者： Azimi, Hamed Shiri, Hodjat Mahdianpari, Masoud Civil Engineering Department Faculty of Engineering and Applied Science Memorial University of Newfoundland St. John'sNLA1B 3X5 Canada Department of Electrical and Computer Engineering Faculty of Engineering and Applied Science Memorial University of Newfoundland St. John'sNLA1B 3X5 Canada C-CORE 1 Morrissey Rd St. John'sNLA1B 3X5 Canada

Nearly one-fifth of the Earth's undiscovered hydrocarbons are reserved in the Arctic area whereas, the recent offshore oil and gas loading equipment, e.g., subsea pipelines, wellheads, and communication cables, developed in the Arctic waters has led to a considerable awareness of the iceberg draft prediction. The iceberg tip would gouge the ocean floor and the operational integrity of the sea bottom-founded infrastructures may be threatened in the Arctic shallower waters if the ocean depth is smaller than the traveling iceberg draft. Hence, developing an intelligent and costeffective solution to predict iceberg drafts is necessary to guarantee the operational integrity of the subsea assets. In this study, the iceberg drafts were simulated using three machine learning (ML) algorithms comprising decision tree regression (DTR), artificial neural network (ANN), and support vector regression (SVR). Initially, using the parameters governing the iceberg draft simulation, a set of ML models was defined. By performing several analyses including sensitivity analysis, error analysis, and uncertainty analysis, the premium ML model along with the most significant input parameters was introduced. The obtained outcome can smooth the path to offer alternative techniques to maintain the time and expenditures of the iceberg management projects and subsea structure design, specifically in the primary phases of the construction methodology, corresponding logistics, and the prospective scope of engineering design projects. © 2023 Lulea University of Technology. All rights reserved.

关键词： Neural networks

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Planning with Vision-Language Models and a Use Case in Robot-Assisted Teaching

arXiv

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arXiv 2025年

作者： Dang, Xuzhe Kudláčková, Lada Edelkamp, Stefan Computer Science Department Artificial Intelligence Center Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Department of Theoretical Computer Science and Mathematical Logic Faculty of Mathematics and Physics Charles University Prague Czech Republic

Automating the generation of Planning Domain Definition Language (PDDL) with Large Language Model (LLM) opens new research topic in AI planning, particularly for complex real-world tasks. This paper introduces Image2PDDL, a novel framework that leverages Vision-Language Models (VLMs) to automatically convert images of initial states and descriptions of goal states into PDDL problems. By providing a PDDL domain alongside visual inputs, Imasge2PDDL addresses key challenges in bridging perceptual understanding with symbolic planning, reducing the expertise required to create structured problem instances, and improving scalability across tasks of varying complexity. We evaluate the framework on various domains, including standard planning domains like blocksworld and sliding tile puzzles, using datasets with multiple difficulty levels. Performance is assessed on syntax correctness, ensuring grammar and executability, and content correctness, verifying accurate state representation in generated PDDL problems. The proposed approach demonstrates promising results across diverse task complexities, suggesting its potential for broader applications in AI planning. We will discuss a potential use case in robot-assisted teaching of students with Autism Spectrum Disorder. © 2025, CC BY.

关键词： Visual languages

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Robust Sliding Manifold Design for Uncertain Linear Systems

Robust Sliding Manifold Design for Uncertain Linear Systems

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European Control Conference (ECC)

作者： Edoardo Vacchini Nikolas Sacchi Michele Cucuzzella Antonella Ferrara Department of Electrical Computer Science and Biomedical Engineering University of Pavia Pavia Italy Center for Systems and Control ENTEG Faculty of Science and Engineering (FSE) University of Groningen (UG) Groningen Netherlands

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

This paper proposes a novel approach for the design of stabilizing sliding manifolds for linear systems affected by model uncertainties and external disturbances. In classical sliding mode control approaches, rejecting model uncertainties and external disturbances often relies on designing a dis-continuous control law with a suitable gain. Specifically, the greater the uncertainty, the larger the control gain. However, this approach might be detrimental to the plant. Instead, the proposed technique deals with this problem by focusing on the design of a suitable sliding manifold, where stability is guaranteed despite model uncertainties. This approach exhibits several benefits such as not needing any further identification process and designing a smaller control gain.

关键词： Manifolds Linear systems Uncertainty RLC circuits Stability analysis Mathematical models Robustness

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Assessment of Non-Intrusive Load Monitoring as a Blind Source Separation Problem

Assessment of Non-Intrusive Load Monitoring as a Blind Sourc...

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IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia)

作者： G.M. Herath M.H. Liyanage C.J. Angammana Faculty of Engineering Sri Lanka Institute of Information Technology Malabe Sri Lanka Department of Electrical and Computer Engineering University of Waterloo Waterloo ON Canada

Non-Intrusive Load Monitoring (NILM) allows consumers to monitor appliances' power consumption without installing appliance-level sensors. NILM has become popular with the rapid deployment of smart energy meters. Neural network-based disaggregation approaches have provided more promising results in NILM. However, most of them must have labeled energy data for model training. The availability of energy data is inadequate, and the data must be updated frequently for higher disaggregation performances. However, none of the existing datasets is periodically updated. Therefore, training data has become a limiting factor for commercializing disaggregation solutions. This study addresses the issue by proposing an Independent Component Analysis (ICA) based solution to perform energy disaggregation as a blind source separation problem for the first time in the NILM domain. The aggregate energy signal has been used to prepare the independent input signals with a novel signal preprocessing approach. The results revealed the effectiveness of ICA in NILM applications.

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Nonlinear Luenberger observer for velocity estimation in active magnetic levitation system

Nonlinear Luenberger observer for velocity estimation in act...

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International Conference on Methods and Models in automation and Robotics (MMAR)

作者： Rafał Bieszczad Adam Piłat Department of Automatic Control and Robotics Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Cracow Poland

This article presents the problem of designing a nonlinear observer for an active magnetic suspension system. The design process of the nonlinear Luenberger observer (also known as the Kazantzis-Kravaris-Luenberger observer) is discussed. Particular attention was paid to the main nonlinearity of the system - the electromagnetic force, which was modeled applying the function describing the change in inductance as a function of the distance of the levitating object from the electromagnet surface. Theoretical analyses were confirmed by the results of experimental studies in which the task of moving the sphere between the given positions using current control was carried out. Control tasks were conducted in the real-time regime on an embedded platform. The measured signals and estimated velocity were analyzed in the context of future implementations in control applications.

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Haar Feature Based Object Detection Using Adaboost Classifier

Haar Feature Based Object Detection Using Adaboost Classifie...

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International Conference on Industrial engineering, Applications and Manufacturing (ICIEAM)

作者： I. I. Naumov R. R. Ibadov D. G. Chebotarev Faculty of Automation Mechatronics and Control Don State Technical University Rostov-on-Don Russia Department of Electrical Engineering and Electronics Don State Technical University Rostov-on-Don Russia

ISBN: (数字)9798331512194

ISBN: (纸本)9798331512200

Modern methods of remote sensing data processing require preliminary knowledge of the coordinates of objects or their manual selection. This study proposes a new approach that allows automatic and rapid detection of large-scale objects in satellite images, which creates the basis for their subsequent detailed analysis. The developed algorithm is based on key principles, the use of adaptive structural features similar to Haar wavelets, the application of cascade classification with a modified Adaboost algorithm, optimization of computational processes due to a three-level filtering system. Forest areas with areas of cut trees are considered as a test example. To improve the accuracy of recognition, automatic calibration of object sizes and dynamic adaptation of scanning parameters were used. The choice of the optimal processing method is based on a comprehensive analysis of the characteristics of the original image. The results obtained open up new opportunities for automated monitoring of territories and analysis of changes.

关键词： Adaptation models Analytical models Accuracy Object detection Feature extraction Data processing Data models Classification algorithms Satellite images Remote sensing

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Laboratory Experimental System for Ferroresonance Analysis

Laboratory Experimental System for Ferroresonance Analysis

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International Colloquium on Smart Grid Metrology (SmaGriMet)

作者： Tin Benšić Kruno Miličević Davor Vinko Marinko Barukčić Department of Electromechanical Engineering Faculty of Electrical Engineering Computer Science and Information Technology Osijek Josip Juraj Strossmayer University of Osijek Osijek Croatia

The paper presents a scaled laboratory experimental model of ferroresonant circuit designed for detailed investigation of the ferroresonance phenomena. To enable accurate ferroresonance examination, the system is expa... 详细信息

关键词： automation Capacitors Voltage Metrology Harmonic analysis Ferroresonance Steady-state

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Privacy-Preserving V2V Charge Sharing Coordination using the Hungarian Algorithm

Privacy-Preserving V2V Charge Sharing Coordination using the...

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IEEE Conference on Vehicular Technology (VTC)

作者： Ahmed Bakr Mahmoud Srewa Eyuphan Bulut Kemal Akkaya Mizanur Rahman Ahmad Alsharif Department of Computer Science University of Alabama AL USA Department of Computer Science Virginia Commonwealth University Richmond VA USA Department of Electrical and Computer Engineering Florida International University FL USA Department of Civil Construction and Environmental Engineering University of Alabama Tuscaloosa AL USA Department of Electrical Engineering Faculty of Engineering at Shoubra Benha University Cairo Egypt

Electric Vehicles (EVs) are being widely adopted as a green alternative to fossil-based vehicles. However, the current charging infrastructure for EVs is inadequate to meet the growing charge demand. Vehicle-to-Vehicle (V2V) charging offers a promising solution that enables a charge supplier EV to provide charging services to a charge demander EV in a distributed manner. Nevertheless, V2V matching and charge scheduling can disclose sensitive location information about the drivers, such as their whereabouts and driving patterns. In this paper, we propose a privacy-preserving scheme for centralized optimal matching of demander EVs with supplier EVs, while protecting their sensitive information. In our scheme, charge demanders report to a matching server their encrypted location information and the requested energy quantities, whereas charge suppliers report encrypted charge costs such that the matching server can learn only the cost to match each demander to each supplier without revealing any location information or the exchanged charge amount. Then, the Hungarian algorithm is used to match demanders to suppliers while minimizing the total cost. The security analysis and simulation results show that our scheme can achieve optimal V2V matching while preserving drivers’ privacy with negligible computation overhead. Overall, our proposed scheme provides an effective solution for V2V charging, while maintaining privacy and confidentiality of sensitive drivers’ information.

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Unmanned Aerial Vehicles for Inspection of Power Lines

Unmanned Aerial Vehicles for Inspection of Power Lines

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International Russian Smart Industry Conference (SmartIndustryCon)

作者： I. I. Naumov R. R. Ibadov S. P. Oboimova Faculty of Automation Mechatronics and Control Don State Technical University Rostov-on-Don Russia Department of Electrical Engineering and Electronics Don State Technical University Rostov-on-Don Russia

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

Problem Statement. New unmanned aerial vehicle (UAV) technology has become more accessible and practical for transmission line inspection. In this paper, we propose a multi-platform UAV system and a multi-model communication system designed for high-efficiency transmission line inspection tasks. Different UAVs perform both long-range and short-range surveillance functions, and provide communication relay. High-quality images and videos are transmitted in real time to the local control station for UAV navigation and to the remote office for analysis. Practice shows that joint inspection using multiple UAVs can significantly outperform traditional inspection methods. Objective. To propose a new method for inspecting and checking the condition of power lines using several types of UAVs using certain signal transmission and relay methods. Results. A new concept of power line inspection using joint actions of unmanned aerial vehicles (UAVs) is proposed. The functional capabilities of the UAVs and the communication system are considered and discussed. Practical experience shows that due to joint work, the time spent on inspection can be significantly reduced and the efficiency can be significantly increased. The feasibility and advantages of inspections using UAVs are confirmed. Future work can focus on optimizing the configuration of UAVs as part of a group. Practical significance. The presented method allows increasing the efficiency of inspection and testing of power transmission lines in comparison with existing methods.

关键词： Power transmission lines Propellers Surveillance Refining Inspection Autonomous aerial vehicles Real-time systems Relays Videos Testing

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Remote Control of Residential Meter Involving E-Billing

Remote Control of Residential Meter Involving E-Billing

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Electronic and electrical engineering and Intelligent System (ICE3IS), International Conference on

作者： Sher Dali Khan Nurwahyu Alamsyah Naveed Mufti Qazi Mazhar ul Haq Abbas Mukhtar Muhamad Amirul Haq Faculty of Electrical and Electronic Engineering Technology (FTKEK) Universiti Teknikal Malaysia Melaka (UTeM) Information Technology Department Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia Department of Telecommunication Engineering UET Mardan Pakistan Department of Computer Science and Engineering and IBPI Yuan Ze University Taoyuan Taiwan Department of Electrical & Computing Engineering University of Windsor ON Canada Computer Science Department Universitas Muhammadiyah Surabaya Surabaya Indonesia

ISBN: (数字)9798350378368

ISBN: (纸本)9798350378375

In electrical energy distribution, losses are a challenging problem, among these losses electricity theft plays a prominent role. Not only Pakistan but many other countries throughout the world face this challenge. This paper presents a system based on smart meter to detect the approximate location of electricity theft. Along with electricity theft detection, this paper also proposes a system for the elimination of illegal consumers. The approach used is that the total energy is compared with the legally consumed energy. For communication between the meters wireless communication techniques are used including Global System for Mobile Communications (GSM) and Network Repository Function (NRF).

关键词： Meters GSM Power supplies Electricity Load shedding Transformers Smart meters Smart grids Security Remote control

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