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2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing, AIRoSIP 2023

作者： Pratondo, Agus Tambunan, Toufan Novianty, Astri Telkom University School of Applied Sciences Department of Multimedia Engineering Bandung Indonesia Telkom University School of Electrical Engineering Department of Computer Engineering Bandung Indonesia

ISBN: (纸本)9798350327472

Water apple (Syzygium aqueum) is a fruit that comprises numerous variants, and precise identification of these variants is essential for distinguishing their leaves accurately. This research presents a study on water apple leaf variant classification utilizing the VGG16 deep learning model. The objective was to distinguish between seven distinct water apple leaf variants, namely bol, citra, dalhari, deli merah, king rose, kiojok, and susu. A comprehensive dataset was compiled, consisting of a balanced distribution of 99 to 100 leaf images per variant. The research involved two experiments: one with random weight initialization and the other with pre-trained weights from the ImageNet dataset. The results demonstrated the significant impact of pre-trained weights initialization, as the model achieved an impressive accuracy of 91.69% compared to 47.79% with random weight initialization. The high accuracy, precision, recall, and F1-Score values indicated the model's effectiveness in accurately classifying the water apple leaf variants. This achievement holds promising potential for diverse practical applications in agriculture, botanical research, education, and conservation efforts. © 2023 IEEE.

关键词： Plant diseases

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Personalized Learning Path Problem Variations: Computational Complexity and AI Approaches

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第3期6卷 574-588页

作者： Mochocki, Sean A. Reith, Mark G. Borghetti, Brett J. Peterson, Gilbert L. Jasper, John D. Merkle, Laurence D. Air Force Institute of Technology Department of Electrical and Computer Engineering Wright-Patterson AFBOH45433 United States Air Force Institute of Technology Department of Mathematics and Statistics Wright-Patterson AFBOH45433 United States

E-learning courses often suffer from high dropout rates and low student satisfaction. One way to address this issue is to use personalized learning paths (PLPs), which are sequences of learning materials that meet the individual needs of students. However, creating PLPs is difficult and often involves combining knowledge graphs (KGs), student profiles, and learning materials. Researchers typically assume that the problem of creating PLPs belong to the nondeterministic polynomial (NP)-hard class of computational problems. However, previous research in this field has neither defined the different variations of the PLP problem nor formally established their computational complexity. Without clear definitions of the PLP variations, researchers risk making invalid comparisons and conclusions when they use different metaheuristics for different PLP problems. To unify this conversation, this article formally proves the NP-completeness of two common PLP variations and their generalizations and uses them to categorize recent research in the PLP field. It then presents an instance of the PLP problem using real-world data and shows how this instance can be cast into two different NP-complete variations. This article then presents three artificial intelligence (AI) strategies, solving one of the PLP variations with back-tracking and branch and bound heuristics and also converting the PLP variation instance to XCSP{}^{3}, an intermediate constraint satisfaction language to be resolved with a general constraint optimization solver. This article solves the other PLP variation instance using a greedy search heuristic. The article finishes by comparing the results of the two different PLP variations. © 2024 The Authors.

关键词： Contrastive Learning

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Enhanced Mini-YOLOv7: A AI Approach for Safety Helmet Detection in the Construction Industry

Enhanced Mini-YOLOv7: A AI Approach for Safety Helmet Detect...

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2024 IEEE International Women in engineering (WIE) Conference on electrical and computer engineering, WIECON-ECE 2024

作者： Blessie, A. Alice Sankarasubramanian, R.S. John, Joseph Krishnapriya, S. Bhuvanesh, A. Keerthanadevi, R. Government College of Engineering Department of Electronics and Communication Engineering Tirunelveli India Psg Institute of Technology and Applied Research Department of Mathematics Coimbatore India Gregorian Institute of Technology Department of Mechnanical Engineering Kottayam India Sri Eshwar College of Engineering Department of English Coimbatore India Psn College of Engineering and Technology Department of Electrical and Electronics Engineering Tirunelveli India Psn College of Engineering and Technology Department of Computer Science and Engineering Tirunelveli India

ISBN: (纸本)9798331535476

Wearing safety helmets is an effective way to keep construction workers safe on the job. Workers often opt to remove their helmets due to discomfort or a lack of security knowledge, leaving them vulnerable to unsaid threats. A worker's risk of injury from falls, both physical and otherwise, increases when they do not wear a safety helmet. Because detecting whether workers are wearing safety helmets is an important aspect of managing safety on construction sites, a fast and accurate detector is required. However, standard manual monitors aren't particularly popular, and attaching sensors to a safety helmet is a laborious operation. With that in mind, this study presents EM-YOLOv7, a DL method for autonomous safety helmet recognition in real-time that has been developed for use on construction sites. A multi-scale non-local attention module (MSNA) is incorporated into the system to improve detection accuracy in complicated situations. This module enhances feature recovery by aggregating semantic context across multiple scales. Further, to improve detection performance and handle mutual occlusion, a loss function named Wise-IoUv3 (WIoUv3) is used. This method adjusts the loss depending on the overlap between the predicted and ground truth bounding boxes. To train and test the model, we will utilize the safety helmet-wearing (SHWD) dataset, which includes a wide variety of construction workers and whether or not they wore helmets. The goal of this technique is to provide a 99% accurate solution for real-time helmet recognition, which would greatly improve safety management and decrease the likelihood of accidents on construction sites. © 2024 IEEE.

关键词： Construction industry

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Deep Learning-Based Classification of Duku Fruit Varieties

Deep Learning-Based Classification of Duku Fruit Varieties

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2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing, AIRoSIP 2023

作者： Pratondo, Agus Novianty, Astri Telkom University School of Applied Sciences Department of Multimedia Engineering Bandung Indonesia Telkom University School of Electrical Engineering Department of Computer Engineering Bandung Indonesia

ISBN: (纸本)9798350327472

Classifying duku fruit varieties (Lansium domesticum) is vital for the agricultural industry, market segmentation, and customer satisfaction. This work use the VGG-16 and Inception V3 models to evaluate the usage of deep learning approaches for the classification of duku varieties. Utilizing transfer learning and fine-tuning techniques, this research modifies pre-trained models for the aim of duku fruit categorization. Experiments were conducted utilizing samples of the duku condet, matesih, and palembang variations to evaluate the performance of the models. The results are promising, with Inception V3 achieving an accuracy rate of 79.22 percent and VGG-16 achieving an accuracy rate of 75.92 percent. These accuracy percentages indicate that the models can properly classify different duku fruit kinds based on their external appearance. The paper underlines the significance of transfer learning for enhancing the performance of models by employing the knowledge gained from previously trained models on large datasets. © 2023 IEEE.

关键词： Fruits

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UAMP-Based Delay-Doppler Channel Estimation for OTFS Systems

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China Communications 2024年第10期21卷 1-15页

作者： Li Zhongjie Yuan Weijie Guo Qinghua Wu Nan Zhang Ji Department of Electronic and Electrical Engineering Southern University of Science and TechonologyShenzhen 518055China School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW 2522Australia School of Integrated Circuits and Electronics Beijing Institute of TechnologyBeijing 100081China School of Mathematics and Statistics Henan University of Science and TechnologyLuoyang 471000China

Orthogonal time frequency space(OTFS)technique, which modulates data symbols in the delayDoppler(DD) domain, presents a potential solution for supporting reliable information transmission in highmobility vehicular networks. In this paper, we study the issues of DD channel estimation for OTFS in the presence of fractional Doppler. We first propose a channel estimation algorithm with both low complexity and high accuracy based on the unitary approximate message passing(UAMP), which exploits the structured sparsity of the effective DD domain channel using hidden Markov model(HMM). The empirical state evolution(SE) analysis is then leveraged to predict the performance of our proposed algorithm. To refine the hyperparameters in the proposed algorithm,we derive the update criterion for the hyperparameters through the expectation-maximization(EM) algorithm. Finally, Our simulation results demonstrate that our proposed algorithm can achieve a significant gain over various baseline schemes.

关键词： channel estimation hidden Markov model(HMM) orthogonal time frequency space(OTFS) unitary approximate message passing(UAMP)

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Scenario-Oriented Multi-Cut Generalized Benders Decomposition-Based Distributed OPF for AC/DC Hybrid Grids

Scenario-Oriented Multi-Cut Generalized Benders Decompositio...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Li, Hai-Xiao Ergun, Hakan Van Hertem, Dirk Lekic, Aleksandra Delft University of Technology Faculty of Electrical Engineering Mathematics & Computer Science Delft Netherlands Chongqing University of Technology School of Electrical and Electronic Engineering Chongqing China Ku Leuven Department of Electrical Engineering Leuven Belgium Etch-EnergyVille Genk Belgium

ISBN: (纸本)9789531842976

In this paper, a distributed optimal power flow (OPF) for the AC/DC hybrid grid, composed of the AC grid, renewable energy system (RES), and voltage source converter (VSC)-based multi-terminal DC (MTDC) grid, is presented. Firstly, we apply a series of linear approximations/convex relaxations to construct a mixed-integer convex AC/DC OPF model. To address the uncertainties from RESs, we then illustrate scenario-oriented decision making for the constructed AC/DC OPF model. Additionally, we verify that considering all possible scenarios can be replaced by a small set of extreme scenarios if the OPF model is (mixed-integer) convex. Furthermore, we develop a scenario-oriented multi-cut generalized Benders decomposition to achieve more efficient distributed problem solving for the constructed AC/DC OPF model. Finally, numerical results are provided to validate the effectiveness of our constructed AC/DC OPF model and our developed distributed problem-solving approach. © 2024 IEEE.

关键词： Mixed-integer linear programming

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One-Dimensional Kalman Filter with Measurement Noise Replaced by Quantization 59

One-Dimensional Kalman Filter with Measurement Noise Replace...

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59th Annual Conference on Information Sciences and Systems, CISS 2025

作者： De Alcantara, Pedro Aquino Bezerra Costa, Flavio Fuhrmann, Daniel R. Michigan Technological University Department of Electrical and Computer Engineering Houghton United States Michigan Technological University Department of Applied Computing Houghton United States

ISBN: (纸本)9798331513269

Several communication systems applications rely on state estimators for dynamic monitoring and control. Kalman Filters have been widely used for state estimation of stochastic processes. Low communication bandwidth adds more complexity to state estimator models, as state quantization should be considered. This paper studies a one-dimensional Kalman Filter with a 1-bit quantization process replacing noisy measurements. 2-bin and 3-bin 1-bit quantizers are considered. State distributions are calculated using discrete convolutions on a fine grid, and with Gaussian approximations. For the 3-bin 1-bit quantizer, two variations of the Gaussian approximation are developed. MATLAB simulations for the five resulting methods indicate that discrete convolutions are not worth the high computational cost, and that the 3-bin 1-bit quantizer eliminates the granular noise of the conventional 2-bin 1-bit quantizer. © 2025 IEEE.

关键词： Kalman filters

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P℘N functions, complete mappings and quasigroup difference sets

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Journal of Combinatorial Designs 2023年第12期31卷 667-690页

作者： Anbar, Nurdagül Kalaycı, Tekgül Meidl, Wilfried Riera, Constanza Stănică, Pantelimon Faculty of Engineering and Natural Sciences Sabancı University MDBF Istanbul Turkey Institut für Mathematik Alpen-Adria-Universität Klagenfurt Klagenfurt Austria Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Bergen Norway Department of Applied Mathematics Naval Postgraduate School MontereyCA United States

We investigate pairs of permutations (Figure presented.) of (Figure presented.) such that (Figure presented.) is a permutation for every (Figure presented.). We show that, in that case, necessarily (Figure presented.) for some complete mapping (Figure presented.) of (Figure presented.), and call the permutation (Figure presented.) a perfect (Figure presented.) nonlinear (P (Figure presented.) N) function. If (Figure presented.), then (Figure presented.) is a PcN function, which have been considered in the literature, lately. With a binary operation on (Figure presented.) involving (Figure presented.), we obtain a quasigroup, and show that the graph of a P (Figure presented.) N function (Figure presented.) is a difference set in the respective quasigroup. We further point to variants of symmetric designs obtained from such quasigroup difference sets. Finally, we analyze an equivalence (naturally defined via the automorphism group of the respective quasigroup) for P (Figure presented.) N functions, respectively, for the difference sets in the corresponding quasigroup. © 2023 Wiley Periodicals LLC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

关键词： Mapping

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Dynamic Modeling of Si-based Photovoltaic Modules using Impedance Spectroscopy Technique

Dynamic Modeling of Si-based Photovoltaic Modules using Impe...

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2023 International Conference on Clean electrical Power, ICCEP 2023

作者： De Riso, Monica Matacena, Ilaria Guerriero, Pierluigi Daliento, Santolo Garcia Marrero, Luis Enrique Petrone, Giovanni University of Naples Federico Ii Department of Electrical Engineering and Information Technology Napoli Italy University of Salerno Department of Information and Electrical Engineering and Applied Mathematics Salerno Fisciano Italy

ISBN: (纸本)9798350348378

In a scenario where the deployment of photovoltaic (PV) systems is increasing, the characterization and the monitoring of the state of health are pivotal. To this aim, Impedance Spectroscopy (IS) provides useful information about the dynamics of PV generators. In this work, an equivalent electric ac model for the characterization of PV modules is discussed. The model is applied to experimental spectra measured on a 52Wp c-Si based PV module in outdoor conditions. The fitting problem is solved by means of two different approaches, one based on the analytic solution of the model equations which employs few points of the experimental spectrum and the other based on an optimization algorithm, requiring the whole set of frequency points. The parameters' values obtained from both approaches are commented, providing useful information on the behavior of the PV module under test. © 2023 IEEE.

关键词： Silicon compounds

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Conical Transition Graphs for Analysis of Asymptotic Stability in Hybrid Dynamical Systems ⁎

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IFAC-PapersOnLine 2024年第11期58卷 159-164页

作者： Paul K. Wintz Ricardo G. Sanfelice Department of Applied Mathematics University of California Santa Cruz Department of Electrical and Computer Engineering University of California Santa Cruz

A method is proposed for analyzing asymptotic stability in the conical approximation of a hybrid system. Specifically, this paper introduces the conical transition graph (CTG) to simplify the analysis of asymptotic stability in conical approximations by converting solutions to a hybrid system into walks through a discrete graph. By exploiting the fact that pre-asymptotic stability in a conical approximation implies pre-asymptotic stability in the original system, a CTG-based approach can establish asymptotic stability in hybrid systems that have nonlinear flow maps and jump maps without needing to construct a Lyapunov function.

关键词： Stability stabilization of hybrid systems Stability of nonlinear systems

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