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Optimizing UPVC profile production using adaptive neuro-fuzzy inference system

International Journal of Information Technology (Singapore) 2024年 1-18页

作者： Naghipour, Avaz Salehpour, Arash Iranag, Behnam Safiri Department of Computer Engineering Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran

This paper explores the implementation of an Adaptive Neuro-Fuzzy Inference System to optimize Unplasticized Polyvinyl Chloride profile production. Given the intrinsic complexities of polymer extrusion, such as maintaining consistent quality amidst varying raw material properties and environmental conditions, traditional control methods like Proportional-Integral-Derivative (PID) controllers often need to catch up in adapting to non-linear production environments. This study proposes an ANFIS-based control system that leverages the adaptability of neural networks and the human-like reasoning of fuzzy logic to address these challenges effectively. The system uses real-world data from expert operators to refine its control parameters, ensuring accurate regulation of critical variables such as extrusion temperature, feed material composition, and ambient conditions. By testing the system against traditional control methods, the research demonstrates significant improvements in quality control, efficiency, and waste reduction. The ANFIS system’s adaptability allows it to minimize errors and adjust dynamically to variations in production conditions, outperforming traditional PID systems in maintaining consistent quality. Furthermore, the study outlines the implications of this research for intelligent manufacturing within Industry 4.0 frameworks, highlighting how ANFIS can integrate seamlessly with existing manufacturing systems to optimize production. This paper ultimately contributes to the growing literature advocating for intelligent control systems in polymer extrusion. It underscores their potential to transform manufacturing efficiency and quality in Unplasticized Polyvinyl Chloride production. © Bharati Vidyapeeth's Institute of computer Applications and Management 2024.

关键词： Adaptive neuro-fuzzy inference system (ANFIS) Fuzzy logic controller Manufacturing optimization Neural networks Polymer extrusion process UPVC profile production

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Metaheuristic-Driven Two-Stage Ensemble Deep Learning for Lung/Colon Cancer Classification

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computers, Materials & Continua 2024年第9期80卷 3855-3880页

作者： Pouyan Razmjouei Elaheh Moharamkhani Mohamad Hasanvand Maryam Daneshfar Mohammad Shokouhifar Department of Electrical&Computer Engineering Valie-e-Asr University of RafsanjanKerman***Iran International Academic Relations Office(IRO) Computer Science DepartmentUniversity of HalabjaHalabja46018Iraq Department of Computer Engineering University of Mohaghegh ArdabiliArdabil***Iran Department of Biomedical Engineering Islamic Azad University of MashhadMashhad***Iran Department of Electrical&Computer Engineering Shahid Beheshti UniversityTehran***Iran

This study investigates the application of deep learning,ensemble learning,metaheuristic optimization,and image processing techniques for detecting lung and colon cancers,aiming to enhance treatment efficacy and improve survival *** introduce a metaheuristic-driven two-stage ensemble deep learning model for efficient lung/colon cancer *** diagnosis of lung and colon cancers is attempted using several unique indicators by different versions of deep Convolutional Neural Networks(CNNs)in feature extraction and model constructions,and utilizing the power of various Machine Learning(ML)algorithms for final ***,we consider different scenarios consisting of two-class colon cancer,three-class lung cancer,and fiveclass combined lung/colon cancer to conduct feature extraction using four *** extracted features are then integrated to create a comprehensive feature *** the next step,the optimization of the feature selection is conducted using a metaheuristic algorithm based on the Electric Eel Foraging Optimization(EEFO).This optimized feature subset is subsequently employed in various ML algorithms to determine the most effective ones through a rigorous evaluation *** top-performing algorithms are refined using the High-Performance Filter(HPF)and integrated into an ensemble learning framework employing weighted *** findings indicate that the proposed ensemble learning model significantly surpasses existing methods in classification accuracy across all datasets,achieving accuracies of 99.85%for the two-class,98.70%for the three-class,and 98.96%for the five-class datasets.

关键词： Lung cancer colon cancer feature selection electric eel foraging optimization deep learning ensemble learning

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M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion

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IEEE Transactions on Communications 2024年第2期72卷 845-860页

作者： Liu, Yangyi Rini, Stefano Salehkalaibar, Sadaf Chen, Jun McMaster University Department of Electrical and Computer Engineering HamiltonONL8S 4L8 Canada Department of Electrical and Computer Engineering Hsinchu30010 Taiwan University of Toronto Department of Electrical and Computer Engineering TorontoONM5A 4T4 Canada

In federated learning (FL), the communication constraint between the remote clients and the Parameter Server (PS) is a crucial bottleneck. For this reason, model updates must be compressed so as to minimize the loss in accuracy resulting from the communication constraint. This paper proposes 'M-magnitude weighted L2 distortion + 2 degrees of freedom' (M22) algorithm, a rate-distortion inspired approach to gradient compression for federated training of deep neural networks (DNNs). In particular, we propose a family of distortion measures between the original gradient and the reconstruction we referred to as ' M-magnitude weighted L{2} ' distortion, and we assume that gradient updates follow an i.i.d. distribution-generalized normal or Weibull, which have two degrees of freedom. In both the distortion measure and the gradient distribution, there is one free parameter for each that can be fitted as a function of the iteration number. Given a choice of gradient distribution and distortion measure, we design the quantizer to minimize the expected distortion in gradient reconstruction. To measure the gradient compression performance under a communication constraint, we define the per-bit accuracy as the optimal improvement in accuracy that one bit of communication brings to the centralized model over the training period. Using this performance measure, we systematically benchmark the choice of gradient distribution and distortion measure. We provide substantial insights on the role of these choices and argue that significant performance improvements can be attained using such a rate-distortion inspired compressor. © 1972-2012 IEEE.

关键词： Deep neural networks

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Transparent OLED displays for selective bidirectional viewing using ZnO/Yb:Ag cathode with highly smooth and low-barrier surface

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Light(Science & Applications) 2025年第3期14卷 673-683页

作者： Eun-young Choi Sung-Cheon Kang Kanghoon Kim Su-Hyeon Lee Jeong-Beom Kim Jang-Kun Song Department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwon-siRepublicof Korea Department of Semiconductor and Display Engineering Sungkyunkwan UniversitySuwon-siRepublicof Korea

Transparent organic light-emitting diode(TrOLED)displays represent cutting-edge technology posed to significantly enhance user *** study addresses two pivotal challenges in TrOLED ***,we focus on the innovation of transparent cathodes,a fundamental component in TrOLEDs,by introducing a ZnO/Yb:Ag *** cathode employs a combination of seed layer and metal doping techniques to achieve a highly uniform surface morphology and a low surface energy *** optimized Yb:Ag cathode on ZnO,with a mere thickness of 15 nm,exhibits remarkable properties:an extremely low surface roughness of 0.52 nm,sheet resistance of 11.6Ω γ^(-1),an optical transmittance of 86.7%at 510 nm,and tunable work function(here,optimized to be 3.86 eV),ensuring superior electron injection ***,we propose a novel TrOLED pixel structure that features selective bidirectional viewing,allowing different types of information to be selectively displayed on each side while preserving overall transparency and minimizing pixel *** design innovation distinguishes itself from conventional TrOLEDs that display images on only one *** bidirectional TrOLED design not only enhances openness and esthetic appeal but also holds promise for diverse applications across various user environments.

关键词： transparent OLED displays transparent cathodesa troled displays significantly enhance user experiencethis selective bidirectional viewing ZNO Yb Ag cathode low barrier surface highly smooth surface

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Enhanced WPT structures via EC-SRR-based metasurfaces

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COMPEL - The International Journal for Computation and Mathematics in electrical and Electronic engineering 2023年第3期42卷 757-775页

作者： Karatzidis, Dimitrios I. Zygiridis, Theodoros T. Kantartzis, Nikolaos V. Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Department of Electrical and Computer Engineering University of Western Macedonia Kozani Greece

Purpose: The purpose of this paper is to present a family of robust metasurface-oriented wireless power transfer systems with improved efficiency and size compactness. The effect of geometric and structural features on the overall efficiency and miniaturisation is elaborately studied, while the presence of substrate losses is, also, considered. Moreover, to further enhance the performance, possible means for reducing the operating frequency, without comprising the unit-cell size, are proposed. Design/methodology/approach: The key element of the design technique is the edge-coupled split-ring resonators patterned in various metasurface configurations and optimally placed to increase the total efficiency. To this goal, a rigorous three-dimensional algorithm, launching a new high-order prism macroelement, is developed in this paper for the fast evaluation of the required quantities. The featured scheme can host diverse approximation orders, while it is drastically more economical than existing methods. Hence, the demanding wireless power transfer systems are precisely modelled via reduced degrees of freedom, without the need to conduct large-scale simulations. Findings: Numerical results, compared with measured data from fabricated prototypes, validate the design methodology and prove its competence to provide enhanced metasurface wireless power transfer systems. An assortment of optimized 3 x 3 and 5 x 5 metamaterial setups is investigated, and interesting deductions, regarding the impact of the inter-element gaps, the distance between the transmitting and receiving components and the substrate losses, are derived. Also, the proposed vector macroelement technique overwhelms typical implementations in terms of computational burden, particularly when combined with the relevant commercial software packages. Originality/value: Systematic design of advanced real-world wireless power transfer structures through optimally selected metasurfaces with fully controllable electro

关键词： Finite element method

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Thermal Conductivity Measurement of Extrusion-Printed Silver Using Modulated Photothermal Radiometry

IEEE Journal on Flexible Electronics

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IEEE Journal on Flexible Electronics 2025年第3期4卷 126-136页

作者： Corona, Javier Schlake, Ellie Kandadai, Nirmala Oregon State University Department of Electrical and Computer Engineering CorvallisOR97331 United States

Flexible printed electronics is a rapidly growing field with applications in conformal and flexible devices. However, the physical properties of the films created by many state-of-the-art printing methods become highly dependent on printing parameters, resulting in varying thermal properties often differing significantly from their bulk ink components. To understand the influence of the printing process, we build upon our previous work, where a noncontact optical technique, known as modulated photothermal radiometry (MPTR), was used to measure the thermal conductivity of aerosol-jet-printed thin films. In this work, we use the method to study the thermal properties of extrusion-printed silver on glass and alumina substrates. A noise-resistant data analysis fitting technique is applied using a 2-D heat transfer model. The thermal conductivity measurement is validated using the Weidemann-Franz (WF) relationship from measured electrical conductivity values. © 2022 IEEE.

关键词： Extrusion

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Sequential Design Process of a 350-kW Class Dual Three-Phase IPMSM for a Wheeled Armored Vehicle

IEEE Open Journal of Industry Applications

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IEEE Open Journal of Industry Applications 2025年 6卷 237-248页

作者： Son, Ji-Chang Kwon, Min-Su Lim, Dong-Kuk University of Ulsan Department of Electrical Electronics and Computer Engineering Ulsan44610 Korea Republic of

Optimal design of a traction motor is a complex process, as various requirements and constraints need to be satisfied. In addition, consideration of various physical aspects, such as stress and heat, is necessary to ensure the stability of the motor, including mechanical rigidity and insulation breakdown. In this article, to derive the optimal design of an interior permanent magnet synchronous motor (IPMSM), a novel sequential design process consisting of conceptual design, detailed design, and optimal design is proposed. The conceptual design enables the rapid execution of multiple case studies, as static electromagnetic analysis is used. The overall geometric parameters are determined through electromagnetic analysis in the detailed design stage and an initial model that satisfies the requirements is derived. Finally, in the optimal design stage, the optimal model is quickly derived using a machine learning method, and the stability of the model is examined through multiphysics analysis. To validate the applicability to the practical motor, design optimization for a 350-kW class dual three-phase IPMSM for a wheeled armored vehicle is conducted, and the feasibility of the proposed method is verified based on the experimental results of the manufactured prototype. © 2020 IEEE.

关键词： Armored vehicles

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Secure signal and image transmissions using chaotic synchronization scheme under cyber-attack in the communication channel

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Soft Computing 2025年第1期29卷 339-353页

作者： Nobakht, Shaghayegh Ahmadi, Ali-Akbar Industrial Automation Laboratory Electrical and Computer Engineering Department Kharazmi University Tehran Iran

In this paper, problem of secure message (signal and image) transmission is studied. The message is encrypted by masking it with a chaotic system state and then transmitted to receiver-side via a communication channel. It is assumed that the communication channel may be prone to a cyber-attack. The transmission system dynamics in presence of the cyber-attack in the communication channel is modeled by a singular dynamical system. Then, at the receiver-side, a novel observer is designed to recover the message together with the cyber-attack signal. Estimation of the cyber-attack is crucial for monitoring the communication channel and enable a network supervisor to mitigate the adverse consequences and make an appropriate strategy. It is assumed neither restrictions on the message nor on the cyber-attack signals. This makes the proposed scheme, the best solution in the real applications. Moreover, comparing to the existing methods which two public and private channels are required, only one communication channel is used in this paper for transmission the encrypted signal which results in a cheaper solution. Solving the optimization problem can be easily performed with the help of the existing toolboxes such as YALMIP and CVX software in MATLAB. Finally, numerical simulations for signal and image transmission are presented to justify the applicability and superior performance of the proposed scheme. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Cyber attacks

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Printing Stretchable Electronics With Fused Filament Fabrication

IEEE Journal on Flexible Electronics

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IEEE Journal on Flexible Electronics 2025年第2期4卷 98-107页

作者： Jahan, Sharmin Lazarus, Nathan University of Delaware Electrical and Computer Engineering Department NewarkDE19716 United States

Additive manufacturing is a powerful approach forintegrating flexible and stretchable conductors into complex3-D structures, but many current printing technologies, suchas direct ink writing (DIW), are expensive and challengingto access for many potential users, such as hobbyists andsmall companies. In this work, a low-cost commercial fusedfilament fabrication (FFF) 3-D printer is used to manufacturelow-resistivity stretchable serpentine conductors. By using dualextruder heads, serpentines are printed in a highly conductivemetal-particulate-based composite on a thermoplastic elastomer(TPE) part and demonstrated to survive mechanical strains of upto 25%, sufficient for use in close contact with the human *** electroless plating is also demonstrated to metalize theprinted traces, depositing a thin layer of copper for improvedelectrical conductivity. Using this approach, we demonstrateconductivity improvements by about three orders of magnitude(∼ 103) over past FFF printed serpentines, a major milestonein making stretchable electronics cheaper and more *** resulting stretchable conductors are then demonstrated toprint devices, including stretchable inductors and stretchableinterconnect on a soft robotic actuator. © 2022 IEEE.

关键词： Reinforced plastics

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Design and Utilization of Multiskewed Multibit Flip-Flop Cells for Timing Optimization: Design and Technology Co-Optimization Approach

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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2025年第3期44卷 1084-1097页

作者： Kim, Suwan Kim, Taewhan Seoul National University Department of Electrical and Computer Engineering Seoul08826 Korea Republic of

Utilizing multibit flip-flops (MBFFs) in circuit implementation offers a considerable saving on the dynamic power dissipated at the clock networks. However, indiscreetly allocating MBFFs by grouping single-bit flip-flops at the logic synthesis or placement stage in order to greedily save dynamic power severely hinders a full applicability of useful clock skew scheduling to the individual flip-flops in MBFFs, failing in effectively optimizing circuit timing. This is because the two internal clock inverters, consequently, the clock skew value, in an MBFF are shared by all of the flip-flops in the MBFF. This work overcomes this inherent limitation of inflexibility in MBFFs for useful clock skew scheduling by proposing a comprehensive design and technology co-optimization (DTCO) framework. To this end, we devise a new layout of MBFF cells called multiskewed MBFF layout, in which different clock skew values can be set to the individual internal flip-flops at the cost of additional internal clock inverters. With the multiskewed MBFFs, we propose a three-step DTCO flow: 1) DTCO-based flip-flop clustering at the logic stage, which clusters flip-flops considering multiskewed MBFFs;2) DTCO based on in-place MBFF debanking technique at the preroute stage to facilitate the full applicability of useful skew scheduling at the subsequent stages;and 3) DTCO utilizing MBFF cell layout diversification at the post-route stage, by which useful clock skew scheduling can effectively resolve timing violations. Through experiments with OpenCores benchmark circuits, it is shown that our proposed DTCO flow of reinforcing the effectiveness of useful clock skew scheduling on circuits with MBFF instances is able to reduce the worst and total negative slacks by 36.73% and 50.76%, respectively, while decreasing the clock and total power consumption by 43.46% and 22.70% over that produced by the conventional flow using a state-of-the-art commercial tool. © 2024 IEEE.

关键词： Flip flop circuits

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