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作者： Nabiaek, M. Postawa, P. Pietrusiewicz, P. Razak, K.A. Walters, S. Stambuaa, S. Jez, B. Department of Physics Faculty of Production Engineering and Materials Technology Czestochowa University of Technology al. Armii Krajowej 19 Czestochowa42-200 Poland Department of Technology and Automation Faculty of Mechanical Engineering and Computer Science Czestochowa University of Technology al. Armii Krajowej 19c Czestochowa42-200 Poland Center of Excellence Geopolymer and Green Technology Universiti Malaysia Perlis TamanMuhibbah Arau Perlis02600 Malaysia Advanced Engineering Centre University of Brighton BrightonBN2 4GJ United Kingdom

Structural relaxations play a large role in forming the properties of magnetic materials. In amorphous alloys, which are metastable materials, obtaining a relatively stable structure requires a properly designed thermal treatment process. Samples should be annealed above the Curie temperature and below the crystallization temperature. With the process designed in such a way, the domain structure is not interfered with and the formation of crystal grains does not occur. By analyzing the so-called Holstein-Primakoff paraprocess, it is possible to determine the in uence of magnetic atoms on the magnetization process in strong magnetic elds above the eld of effective anisotropy. © 2025 Polska Akademia Nauk. All rights reserved.

关键词： Amorphous alloys

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Guest Editorial for Special Issue on Human-centered Intelligent Robots:Issues and Challenges

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 599-601页

作者： Zhijun Li C.L.Philip Chen Wei He IEEE College of Automation Science and Engineering South China University of Technology Department of Computer and Information Science Faculty of Science and Technology University of Macao School of Automation and Electrical Engineering University of Science and Technology Beijing

The special issue aims to address a broad spectrum of topics ranging from human-centered intelligent robots acting as a servant,secretary,or companion to intelligent robotic *** special issue publishes original papers of innovative ideas and concepts,new discoveries,and novel applications and business models relevant to the field of human-centered intelligent *** this special issue,modeling,intelligent control,

关键词： In Guest Editorial for Special Issue on Human-centered Intelligent Robots:Issues and Challenges

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Stereo Matching for Face Images Based on Feature Points

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电子学报(英文版) 2010年第2期19卷 241-244页

作者： WANG Yinghui XIAO Bing WANG Qiongfang Faculty of Computer Science and Engineering Xi'an University of Technology Xi'an China Department of Computer Science Shaanxi Normal University Xi'an China Faculty of of Automation and Information Engineering Xi'an University of Technology Xi'an China

Stereo matching is the key of reconstructing 3D face model from 2D face images and Barnard's algorithm is one of the classical stereo matching algorithms based on feature points. In order to enhance the stability of extracting feature points, reduce computational complexity and minimize the effect of subjective factors, in this paper, Barnard's algorithm of edge point matching was improved from two aspects: edge point sets of left and right face images were extracted with dyadic wavelet transform, rather than comparing gray values of adjacent pixels;on the other hand, edge points in binocular stereo face images were matched under epipolar constraint in parallel binocular stereo matching. Experimental results demonstrate that stability and efficiency of stereo matching algorithm are both improved.

关键词：立体匹配算法人脸图像特征点点匹配算法配基二进小波变换计算复杂度人脸模型

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Protocol for the fabrication of self-standing (nano)cellulose-based 3D scaffolds for tissue engineering

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STAR Protocols 2025年第1期6卷 103583页

作者： Mohan, Tamilselvan Bračič, Matej Bračič, Doris Lackner, Florian Nagaraj, Chandran Štiglic, Andreja Dobaj Kargl, Rupert Kleinschek, Karin Stana Graz University of Technology Institute for Chemistry and Technology of Biobased System (IBioSys) Stremayrgasse 9 Graz 8010 Austria University of Maribor Faculty of Mechanical Engineering Laboratory for Characterization and Processing of Polymers Smetanova Ulica 17 Maribor 2000 Slovenia Department of Internal Medicine Division of Pulmonology Medical University of Graz Graz Austria Institute of Automation Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Members of the European Polysaccharide Network of Excellence (EPNOE) Austria

Three-dimensional (3D) and porous scaffolds made from nanocellulosic materials hold significant potential in tissue engineering (TE). Here, we present a protocol for fabricating self-standing (nano)cellulose-based 3D scaffolds designed for in vitro testing of cells from skin and cartilage tissues. We describe steps for preparation of nanocellulose ink, scaffold formation using 3D printing, and freeze-drying. We then detail post-processing procedures to enhance mechanical properties, stability, and biocompatibility. This protocol offers researchers a framework for developing versatile and sustainable biomaterials for regenerative medicine. For complete details on the use and execution of this protocol, please refer to Mohan et al.¹ and Štiglic et al.² © 2025 The Authors

关键词： Biotechnology and bioengineering Chemistry Material sciences Tissue engineering

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Kernel contextual fuzzy rule model based on conditional input space partitioning driven by data reconstruction in autoencoder and randomization-based neural networks

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Knowledge-Based Systems 2025年 320卷

作者： Zhang, Congcong Oh, Sung-Kwun Fu, Zunwei Pedrycz, Witold School of Mathematics and Statistics Linyi University Shandong Linyi276005 China Shandong Data Open Innovative Application Laboratory Linyi276005 China School of Automation and Electrical Engineering Linyi University Shandong Linyi276005 China School of Electrical & Electronic Engineering The University of Suwon Gyeonggi-do Hwaseong-si18323 Korea Republic of Department of Electronic Engineering Seokyeong University Seoul 02713 Korea Republic of Department of Computer Science The University of Suwon Gyeonggi-do Hwaseong-si18323 Korea Republic of Department of Electrical and Computer Engineering University of Alberta EdmontonAB T6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw 00-901 Poland Istinye University Faculty of Engineering and Natural Sciences Department of Computer Engineering Sariyer/Istanbul Turkey

Fuzzy Rule-based Models (FRMs) have attracted significant interest in the field of machine learning owing to their modular architecture, robust design methodologies, and sound interpretability. This study introduces a novel Kernel Contextual Fuzzy Rule Model (KCFRM) designed to cope with regression tasks. A Kernel Contextual Fuzzy Clustering (KCFC) algorithm is proposed for conditional partitioning of the input space. Specifically, we incorporate the Mercer kernel into context fuzzy clustering to enhance the abilities of the model to distinguish, extract, and amplify useful features via nonlinear mapping, thereby generating more suitable information granules. Additionally, we employ an autoencoder's "encoding-decoding" mechanism to extract differences between data patterns and subsequently transform these into KCFC contexts via a conversion function, therefore leading to the creation of high-quality fuzzy sets. In the conclusion portion of fuzzy rules, conventional numerical or linear functions struggle to adequately describe the complex behavior present in local fuzzy regions. To mitigate this, we incorporate a Randomization-based Neural Network (RANN), capable of providing superior approximation capabilities and substantial computational efficiency. RANN overcomes traditional method constraints in representing complex behaviors within the fuzzy region. The inclusion of RANN results in more accurate and efficient conclusions for fuzzy rules. The uniqueness of this study lies in its holistic approach to designing fuzzy models with KCFC and RANN, improving the expressiveness of the rules and enhancing the generalization of the models. KCFRM's performance is assessed using various publicly available machine learning datasets, with experimental results underscoring its effectiveness and performance enhancements. © 2025

关键词： Fuzzy rules

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An Algebraic Method to Stabilize Large-Scale Boolean Networks via Pinning Control

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IEEE Transactions on Network science and engineering 2025年

作者： Liu, Jiayang Liu, Yang Jiang, Haijun Abdel-Aty, Mahmoud Zhejiang Normal University School of Mathematical Sciences Jinhua321004 China Zhejiang Normal University Hangzhou School of Automation Hangzhou311231 China Yili Normal University School of Mathematics and Statistics Yining835000 China Ahlia University Graduate Studies and Research Manama10878 Bahrain Abu Dhabi University Electrical and Computer Engineering Department Zayed City MZ39 United Arab Emirates Sohag University Mathematics Department Faculty of Science Sohag82524 Egypt

As a discrete-time system, the dynamics of each gene node of Boolean networks (BNs) is determined by logical functions. This article aims to stabilize BNs globally through distributed pinning control. According to the existing literature, the state transition matrix-based pinning control strategy always suffers from high time complexity. The proposed approach, while likewise matrix-based, replaces the state transition matrix in favor of structure matrices based on the logical functions of each node and develops four computationally effective phases to solve the minimum set of controlled nodes and the corresponding pinning controllers, reducing the time complexity to O(2ξ), where ξ is a value determined by the specific network and the target state. The primary contribution is to provide a new method that eliminates time complexity as a barrier to matrix-based pinning control strategy by determining the index set of key nodes, particularly for sparse biological networks while preserving the benefits of matrix-based strategies. Finally, to demonstrate the effectiveness of the control method, gene networks with different sizes are discussed as simulations. © 2013 IEEE.

关键词： Discrete time control systems

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Share of Additional Losses in Total Core Losses in the Remagnetization Process of Amorphous FeB-Based Alloys

Share of Additional Losses in Total Core Losses in the Remag...

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作者： Jeż, B. Stambula, S. Kukula, O. Wyslocki, J.J. Razak, N.R.A. Manea, L.R. Nabialek, M. Department of Technology and Automation Faculty of Mechanical Engineering and Computer Science Czestochowa University of Technology al. Armii Krajowej 19c Częstochowa42-200 Poland Department of Physics Faculty of Production Engineering and Materials Technology Czestochowa University of Technology al. Armii Krajowej 19 Częstochowa42-200 Poland Center of Excellence Geopolymer and Green Technology Universiti Malaysia Perlis Taman Muhibbah Perlis Arau02600 Malaysia Faculty of Industrial Design & Business Management "Gheorghe Asachi" Technical University of Iasi 29 D. Mangeron Blv. Iasi70005 Romania

In the process of remagnetization of magnetic materials at certain frequencies, there are losses that reduce their energy expenditure, which are referred to as total losses. These losses include hysteresis loop losses, eddy current losses, and additional losses. The factor of additional losses is very often overlooked. Its contribution to total losses is considered to be marginal. Even in the case of materials showing the minimization of total losses, such as amorphous materials, this loss factor is important and should not be neglected when studying this phenomenon. The paper presents the results of tests on remagnetization losses of a ferromagnetic amorphous alloy at frequencies from 50 to 1000 Hz. The share of additional losses was separated, and their total contribution to total core losses was determined as a percentage. © 2025 Polska Akademia Nauk. All rights reserved.

关键词： Amorphous alloys

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Adaptive outer synchronization between two delayed oscillator networks with cross couplings

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science China(Information sciences) 2020年第10期63卷 267-269页

作者： Jianbao ZHANG Ancai ZHANG Jinde CAO Jianlong QIU Fuad E.ALSAADI School of Automation Southeast University School of Information Science and Engineering Linyi University Department of Electrical and Computer Engineering Faculty of EngineeringKing Abdulaziz University

Dear editor,Chaos synchronization is a typical kind of collective behaviors induced by external control or mutual couplings between chaotic nodes [1].During the past decades,increasing interest has been devoted to study the interplay between network topology and chaos synchronization [1,2].Many types of synchronization phenomena have been proposed such as complete synchronization,cluster synchronization [3],and outer synchroni-

关键词： Adaptive control Complex networks Lyapunov method Outer synchronization Cross coupling

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Design and Application of a LiNbO 3 Reflective Power-Frequency Intensive Electric Field Sensors

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Sensors and Actuators A: Physical 2025年

作者： Shaoqi He Jiahong Zhang Jing Zhang Yingna Li Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming 650500 China Yunnan Key Laboratory of Computer Technology Applications Kunming University of Science and Technology Kunming 650500 China

A sensor with distinct reflected light paths, based on the Pockels Effect in LiNbO₃ crystals, has been developed to measure electric fields in the power-frequency range. The performance of the sensor is tested through experiments, and it is evident from the results that it has a sensitivity of 2.2 mV/(kV/m) and a linear measurement range from 0.045 kV/m to 178.78 kV/m. When electric fields of 27.95 kV/m, 40.46 kV/m, and 56.92 kV/m are applied with the electric field direction parallel to the x -axis, and the sensor is rotated around the x -axis by 360° in the yoz plane, the sensor system outputs are 6.6 mV, 5.3 mV, and 8.4 mV, respectively. In contrast, when the electric field direction is parallel to the y -axis, the sensor system outputs are 47.27 mV, 70.14 mV, and 97.61 mV, respectively, which results in that the sensor as better unidirectivity. Finally, an experimental system is constructed, and the developed sensor is used to measure both axial and radial electric field distributions across the surface of a high-voltage composite insulator rated at 10 kV. The resulting electric field distribution is approximately " U "-shaped.

关键词：

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MangoLeafXNet: An Explainable Deep Learning Model for Accurate Mango Leaf Disease Classification

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IEEE Access 2025年

作者： Rayed, Md Eshmam Jim, Jamin Rahman Islam, Md Juniadul Mridha, M.F. Kabir, Md Mohsin Hossen, Md. Jakir American International University-Bangladesh Department of Computer Science and Engineering Dhaka1229 Bangladesh Mälardalens University Division of Computer Science and Software Engineering Västerås722 20 Sweden Multimedia University Faculty of Engineering and Technology Department of Robotics and Automation Melaka Malaysia

Addressing the global challenge of ensuring a consistent and abundant supply of fresh fruit, particularly in the context of fruit crops, is hindered by the prevalence of plant diseases. These diseases directly impact the quality of fruits, leading to a decline in overall agricultural production. Mango leaf diseases pose significant threats to global mango production, necessitating accurate and efficient classification techniques for timely disease management. Our study focuses on introducing MangoLeafXNet, a customized Convolutional Neural Network (CNN) architecture specifically tailored for the classification of mango leaf diseases, along with a healthy class. Our proposed model comprises six layers optimized to capture intricate disease patterns, demonstrating superior performance compared with prevalent pre-trained models. The model is trained and evaluated on three publicly available datasets: MangoLeafBD (4000 images across 8 classes), MangoPest (16 pest classes including healthy leaves), and MLDID (3000 high-resolution images across 5 classes). Our model demonstrated exceptional classification performance, attaining 99.8% accuracy, 99.62% recall, 99.5% precision, and an F1-score of 99.56%. Further validation on the MangoPest dataset and the Mango Leaf Disease Identification Dataset (MLDID) resulted in accuracies of 96.31% and 96.33%, respectively, confirming the robustness and adaptability of MangoLeafXNet across different datasets. Additionally, we incorporate Explainable AI techniques, including GRAD-CAM, Saliency Map, and LIME to enhance the interpretability of our model. We deployed Gradio web interface to create an interactive interface that allows users to upload images of mango leaves and get real-time classification and validation results along with confidence scores. This contribution not only advances the state-of-the-art in mango leaf disease classification but also offers promising prospects for real-time disease diagnosis and precision agriculture

关键词： Fruits

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