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A Comprehensive Framework for Decoding Salty Taste Information from EEG Signals: Distinguishing Brain Reactions to Saltiness of Comparable Intensity

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Food Science and Human Wellness 2024年

作者： Jingjing Liu Yifei Xu Xingwang Lian Tianming Liu Haohao Ning Xi Jiang Shixin Yu Shikun Liu Lu Huang Xiaojun Sun Jiangyong Li Dongfu Xu School of Automation Engineering， Northeast Electric Power University Department of Computer Science， the University of Georgia School of Life Science and Technology， University of Electronic Science and Technology of China

The perception of salty taste is crucial for individuals to make healthy food choices. Yet， the brain electrophysiological signals underlying salty taste perception have been poorly described. In this study， electroencephalography (EEG) was used to record brain activity induced by NaCl solution as a salty taste stimulus. A combination of a custom delivery device and stimulation paradigm was employed to preserve the salty taste signal clearly. A stimulus-response capture method was proposed that could adapt to individual differences in brain responses to salty taste and accurately segment salty taste response signals. Applying this method to the EEG processing workflow can form a complete data processing framework. The results showed that the neural response induced by salty taste reached a high activity level in the initial stage within a short period (0.2s)， and there was a sustained periodic response within 0.75s after the stimulation. Moreover， the salty taste information in the EEG signal was decoded， and discrimination of two similar concentrations of salty taste solutions was achieved far above the chance level (average identification rate: 89.66%). This study demonstrated experimental paradigms and research methods for understanding salty taste perception， which could provide references for research on other basic tastes.

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Self-Supervised Learning with Min-Max Distance Approach for Few-Shot Steel Surface Defects Recognition 43

Self-Supervised Learning with Min-Max Distance Approach for ...

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43rd Chinese Control Conference, CCC 2024

作者： Wang, Tianlei Chen, Xinyao Li, Zeliang Zhou, Zhencai Zhou, Zhiheng Wuyi University School of Electronic and Information Engineering Jiangmen China Jiangmen Key Laboratory of Kejie Semiconductor Bonding Technology and Control System Jiangmen China Wuyi University School of Mechanical and Automation Engineering Jiangmen China Guangdong Province Kejie Machinery Automation Company Technical Department Jiangmen China

ISBN: (纸本)9789887581581

Surface defects in steel are crucial for quality inspection in the manufacturing of industrial metal products. While deep learning methods have been extensively studied in this field, the lack of large-scale annotated defect samples imposes significant labeling pressure, making training fully supervised deep models challenging. In response to this issue, we employ self-supervised learning for few-shot recognition, effectively learning representations from limited unlabeled data and achieving defect recognition with a small amount of labeled samples. In particular, we construct Other encoder with multi-view information and Base encoder with single view information based on the distillation self-supervised learning framework through the multi-crops mechanism, and the Other encoders and Base encoders perform information share. Our main contribution is that, based on this framework, we propose a new regularization method to solve the problem of instances deviating from the center of self-supervised clustering by minimizing the maximum instance distance (MMD). In testing, fine-tuning the MMD pre-trained model with a small number of labeled data achieves superior recognition performance on the steel surface defect dataset NEU, significantly outperforming other testing methods. © 2024 Technical Committee on Control Theory, Chinese Association of automation.

关键词： Self-supervised learning

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Average Filtering Error-Based Event-Triggered Fuzzy Filter Design with Adjustable Gains for Networked Control systems

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IEEE Transactions on Fuzzy systems 2025年第6期33卷 1963-1976页

作者： Pan, Yingnan Huang, Fan Li, Tieshan Lam, Hak-Keung Qingdao University School of Automation Shandong Qingdao266071 China Bohai University College of Control Science and Engineering Liaoning Jinzhou121013 China University of Electronic Science and Technology of China School of Automation Engineering Sichuan Chengdu611731 China King's College London Strand Department of Engineering LondonWC2R 2LS United Kingdom

This paper investigates the event-triggered H∞ filtering problem for interval type-2 fuzzy networked control systems with data loss. The goal of this paper is to design an event-triggered fuzzy filter with adjustable gains to further improve the H∞ performance of the filtering error system (FES) while saving communication resources. Firstly, an adaptive event-triggered mechanism (ETM) that utilizes the average filtering error to adaptively adjust the triggered threshold is proposed to mitigate network congestion. In contrast to the existing filtering achievements, the proposed adaptive ETM considers the impact of filtering error on data transmission which can achieve the effect of saving more communication resources. Then, an interval stability theory is applied to adjust the filter gains for achieving the purposes of changing the convergence speed of the FES and improving the Hinfty performance. Moreover, under the conditions of imperfect communication links, sufficient criteria for designing the H∞ filter with adjustable gains are obtained based on the interval stability theory and linear matrix inequalities technique. Finally, the simulation results are utilized for demonstrating the feasibility of the proposed method. © 1993-2012 IEEE.

关键词： Fuzzy filters

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Electrocardiogram Signal Secure Transmission via a Wireless Communication Protocol of Chaotic systems Based on Adaptive Sliding Mode Control and Disturbance Observer

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IEEE Access 2023年 11卷 145373-145385页

作者： Chien Le, Minh Giap, Van Nam Nguyen, Quang Dich Huang, Shyh-Chour Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi100000 Viet Nam Institute for Control Engineering and Automation Hanoi University of Science and Technology Hanoi100000 Viet Nam National Kaohsiung University of Science and Technology Department of Mechanical Engineering Kaohsiung807618 Taiwan

This paper presents a new application of the encryption and decryption techniques for securing the electrocardiogram (ECG) signal. The secure communication system (SCS) is embedded two Chen chaotic systems with different initial conditions, which were named master and slave, respectively. An ECG signal is encrypted by using master chaotic system. Which can be sent to the far destination to serving the heath care monitoring process. To obtain the original data, the state of the slave system is used to decrypt the signal. To obtain the goal, the master and slave need to be synchronized. Therefore, to softening the calculation of synchronization control design, the Takagi-Sugeno fuzzy (TSF) was used to remodel the master and slave into the fuzzy format, which are consists of the sublinear systems and fuzzy outer membership functions. Second, the disturbance observer (DOB) was proposed on slave system, which is used to reject the parameters variations and disturbances during the transmission. Third, the sliding mode control (SMC) was designed to synchronize the master and slave systems. Fourth, the stability of SCS is proved based on the Lyapunov condition. Finally, the simulation by using MATLAB software on computer and experiment by using the WIFI microchip ESP8266 were provided to show the power of the proposed methods. © 2013 IEEE.

关键词： Time domain analysis

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Path Tracking Control Approach and Processing Lumped Disturbances for AGV in Recent Years: an Overview 1

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2nd International Conference on Advances in Information and Communication technology, ICTA 2023

作者： Do, Thi Mai Nguyen, Hoai Nam Thai Nguyen University of Information and Communication Technology Thai Nguyen Viet Nam Department of Automation Engineering School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hanoi Viet Nam

ISBN: (数字)9783031508189

ISBN: (纸本)9783031508172

AGV (Automated Guided Vehicles) - has been widely applied to many different fields for the purpose of goods transportation from the receipted to the delivery place. AGVs are particularly useful in situations where the repetitive movement of action over a predetermined distance is required. Their performance greatly affects the performance of the distribution system. Currently, a lot of research on AGV has been done. But in this review paper, we directly focus on the problem of path tracking control and lumped disturbance handling during the movement of AGV. The control methods are mentioned with the analysis of advantages, disadvantages, their development orientation, and application in the future;such as PID, sliding method control, Fuzzy logic systems combining with neural networks, model predictive control, Backstepping techniques, and control methods combining extended state observers to estimate and compensate for lumped disturbances. This research problem will provide some general information about over 30 articles in recent years to help readers understand and have an overview of the problem of AGV control when using different control methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Fuzzy neural networks

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Dynamic wheeled motion control of wheel-biped transformable robots

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Biomimetic Intelligence & Robotics 2022年第2期2卷 1-8页

作者： Chao Zhang Tangyou Liu Shuang Song Jiaole Wang Max Q-H.Meng The School of Mechanical Engineering and Automation Harbin Institute of TechnologyShenzhen 518055China Department of Electronic and Electrical Engineering Southern University of Science and TechnologyShenzhen 518055China

Most existing biped robots can only walk with their feet or move by *** combine the best of both worlds,this paper introduces the dynamic wheeled control including wheeled locomotion and in-situ wheel-to-foot(WtF)transformation of a full-sized wheel-biped transformable robot *** can traverse on flat surfaces by wheels and transform to footed stance through its switching modules when facing *** wheeled locomotion,the kinematics considering upper-body lumped center-of-mass(CoM)constraint is first ***,the dynamics of wheeled locomotion is modeled as a wheeled inverted pendulum(WIP)with variables related to the pose of upper *** that,a parameter-varying linear quadratic regulator(LQR)controller is utilized to enable dynamic wheeled *** WtF transformation,the WtF balance constraints are first ***,a WtF transformation strategy is proposed to tackle the problem when robot transforms from wheeled balance state to in-situ biped stance *** enables the robot to pass by the transition stages in which both wheels and feet touch the ground and to maintain its balance at the same *** and experiments on the SR600-II prototype have validated the efficacy of proposed dynamic wheeled control strategies for both wheeled locomotion and in-situ WtF transformation.

关键词： Wheel-biped transformable robot Dynamic control Wheeled locomotion Parameter-varying LQR control Wheel-to-foot transformation

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Face image authentication scheme based on MTCNN and SLT

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Multimedia Tools and Applications 2025年 1-43页

作者： Thabit, Rasha Al-Askari, Mohanad A. Mohammed, Dunya Zeki Anaam, Elham Abdulwahab Mahmood, Zainab H. Jabbar, Dina Jamal Salih, Zahraa Aqeel Information System Department College of Computer Sciences and Information Technology University of Al-Anbar Al-Anbar Iraq Computer Engineering Department College of Engineering Al-Iraqia University Baghdad Iraq Electronic and Communications Engineering Department College of Engineering Gilgamesh University Baghdad Iraq Faculty of Computing and Informatics Multimedia University Selangor Cyberjaya Malaysia Department of Cybersecurity Engineering College of Information Engineering Al-Nahrain University Baghdad Iraq Electrical Engineering Technical Collage Middle Technical University Baghdad Iraq Department of Business Administration Alamaal University College Baghdad Iraq

DeepFakes and face image manipulation methods have been widely distributed in the last few years and several techniques have been presented to check the authenticity of the face image and detect manipulation if exists. Most of the available manipulation detection techniques have been successfully applied to reveal one type of manipulation under specific conditions, however, many limitations and challenges can be encountered in this field. To overcome some limitations and challenges, this paper presents a new face image authentication (FIA) scheme based on Multi-Task Cascaded Conventional Neural Networks (MTCNN) and watermarking in Slantlet transform (SLT) domain. The proposed FIA scheme has three main algorithms that are face detection and selection, embedding, and extraction algorithms. Different block sizes have been used to divide the image into non-overlapping blocks followed by classifying them into two groups that are blocks from face area (FA) and blocks from the remaining area (RA) of the image. In the embedding algorithms, the authentication information is generated from FA blocks and embedded in the RA blocks. In the extraction algorithms, the embedded information is extracted from RA blocks and compared with the calculated data from FA blocks to reveal manipulations and localize the manipulated blocks if exist. Extensive experiments have been conducted to evaluate the performance of the proposed FIA scheme for different face images. The experimental work included tests for payload, capacity, visual quality, time complexity, and localization of manipulations. The results proved the efficiency of the proposed scheme in detecting and localizing different face image manipulations such as attributes attacks, retouching attacks, expression swap, face swap, and morphing attacks. The proposed scheme overcomes many limitations and it is 100% accurate in localizing the tampered blocks which makes it a better candidate for practical applications. © The Author(s), un

关键词： Authentication

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A comparison study between Modbus and IEC 61850 MMS Protocols 33

A comparison study between Modbus and IEC 61850 MMS Protocol...

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33rd Southern African Universities Power engineering Conference, SAUPEC 2025

作者： Johnson, Rayner Krishnamurthy, Senthil Mataifa, Haltor Esmail, Mohammed Cape Peninsula University of Technology Center for Substation Automation and Energy Management Systems Department of Electrical Electronic and Computer Engineering Cape Town7530 South Africa

ISBN: (纸本)9798331535162

The growing adoption of renewable energy primary plants has been seen globally. South Africa has seen a significant development in utility-scale photovoltaic (PV) farms in recent years due to the alleviated regulations stipulated in the latest Electricity Regulation Amendment Act. Connecting the PV plants to the power grid has also undergone a technical evolution by incorporating modern embedded computers known as Intelligent electronic Devices (IEDs). The International Electrotechnical Committee (IEC) 61850 standard defines a suite of protocols used in modern power systems. This study compares the IEC 61850 Manufacturing Messaging Specification (MMS) with the well-known MODBUS protocol. The comparison is achieved by simulating a solar farm's Power Plant Controller (PPC). © 2025 IEEE.

关键词： Solar power plants

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Comparative study on the hydrogen storage performance of as-milled MgRENi rapid quenched alloy catalyzed by metal sulfides

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Journal of Magnesium and Alloys 2024年第5期12卷 2010-2023页

作者： Xiaoping Dong Zhaoqing Zhang Liying Yang Shenghai Xin Dandan Su Zhiyuan Li Department of Mechanical Design and Manufacture and Automation Hebei UniversityBaoding 071000PR China Baoding New Energy Vehicle Power Engineering Technology Research Center Hebei UniversityBaoding 071002PR China Hebei Technology Innovation Center for Lightweight of New Energy Vehicle Power System(Preparation) Hebei UniversityBaoding 071002PR China

The composites of Mg_(20)Pr_(1)Sm_(3)Y_(1)Ni_(10)as-quenched alloy and 3 wt.%M(M=CoS,CoS_(2),MoS_(2))catalyst were prepared by high-speed vibration ball *** effects of metal sulfides on the hydrogenation and dehydrogenation dynamics of alloys were *** results show that the as-milled composites contain a large number of amorphous embedded by a small amount of nanocrystals,and there are many point *** ball milling,the crystal grain size in the composites containing CoS is relatively larger,followed by CoS_(2)and MoS_(2)*** hydrogenation,the amorphous phase is crystallized to form Mg_(2)NiH_(4),YH_(3),Pr_(8)H_(18.96),Sm_(3)H_7,Mg,Co or Mo phases,however,Mg_(2)Ni,YH_(2),PrH_(2)and Ni_(3)Y phases appeared after *** maximum hydrogenation capacity of the composites containing CoS,CoS_(2)and MoS_(2)are 3.939,4.265 and 4.507 wt.%,*** hydrogenation saturation ratio of composite containing MoS_(2)is higher than that of the composites containing CoS and CoS_(2).The dehydrogenation activation energy of the composites containing CoS,CoS_(2)and MoS_(2)is 107.76,68.43 and 63.28 ***^(-1).H_(2).On the improvement of hydrogen storage performance of Mg_(20)Pr_(1)Sm_(3)Y_(1)Ni_(10)alloy,the catalytic effect of MoS_(2)sulfide is better than that of CoS_(2)sulfide,and which is better than CoS sulfide.

关键词： Mg_(20)Pr_(1)Sm_(3)Y_(1)Ni_(10)as-quenched alloy CoS CoS_(2)and MoS_(2)sulfide Milling Activation energy Hydrogen storage dynamics

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INTRODUCING FEATURE MATCHING AND SMOOTHING LOSS: A NOVEL GAN FOR IMPROVED SAMPLE GENERATION 13

INTRODUCING FEATURE MATCHING AND SMOOTHING LOSS: A NOVEL GAN...

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13th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2023

作者： Yang, Junfeng Liu, Fengchang Mi, Jinhua Yin, Shengjie Bai, Libing School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Center for System Reliability and Safety University of Electronic Science and Technology of China Chengdu China Department of SRM Design Shanghai Space Propulsion Technology Research Institute Shanghai China

ISBN: (纸本)9781839539848

Fault diagnosis of planetary gearboxes constitutes a vital element of rotating machinery. In recent years, fault diagnosis techniques for planetary gearboxes predicated on deep learning have undergone extensive research. However, in scenarios with limited samples, these deep learning methodologies can grapple with data scarcity issues, negatively impacting the model's generalization capacity and diagnostic performance. To mitigate this, Generative Adversarial Networks (GANs) have been integrated into planetary gearbox fault diagnosis to fabricate synthetic data, thereby augmenting the training dataset. Nevertheless, GANs face challenges in effectively learning local feature information from samples, leading to substantial disparities in local features between the generated data and the original data. Furthermore, the sampling of fault vibration signals from planetary gearboxes often exhibits a high frequency, with relatively smooth signal transitions, while the vibration signal samples generated by GANs often fluctuate excessively, demonstrating significant differences from the original vibration signals. To address this issue, this study introduces an enhanced GAN network that incorporates a feature attention matching mechanism in the computation of the loss function. This mechanism aims to amplify the feature similarity between the generated samples and local samples. Concurrently, a smoothness loss is introduced into the loss function to ensure the changes in the generated signal samples are more gradual. Experimental results indicate that this proposed method can generate superior quality samples, and the generated samples can achieve high accuracy on the WD-CNN diagnostic network. © The Institution of engineering & technology 2023.

关键词： Generative adversarial networks

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