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Design of High Sensitivity Split Ring Resonator Sensor for Invasive Blood Glucose Monitoring

IFAC-PapersOnLine 2024年第24期58卷 303-308页

作者： Ameer B. Alsultani Omer S. Alkhafaf Ákos Szlávecz J. Geoffrey Chase Balázs Benyó Budapest University of Technology and Economics Faculty of Electrical Engineering and Information Technology Department of Control Engineering and Information Technology Budapest Hungary Department of Mechanical Engineering University of Canterbury Christchurch New Zealand Department of Communications Engineering University of Technology Iraq

Blood glucose level is one of the most frequently measured physiological parameters in clinical and home-care settings. This study aimed to develop a novel biosensor using a Split Ring Resonator (SRR) for measuring the glucose concentration of solutions like blood. In the simulation, changes in the solution's dielectric properties yielded a significant shift of the original, 6.8 GHz, resonance frequency when the SRR, constructed on a Rogers RO4003 substrate, was exposed to solutions with varying glucose concentrations. The frequency shift can indicate the solution's glucose levels, enabling the sensor to detect concentrations ranging from 20 mg/dL up to 200 mg/dL. The proposed method shows promise for invasive blood glucose monitoring with a sensitivity of 4.4 MHz per mg/dL and a straightforward structure design.

关键词： Biomedical sensors Blood Glucose Monitoring Microwave technology Split Ring Resonator

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Finite-Time Sideslip Differentiator-Based LOS Guidance for Robust Path Following of Snake Robots

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 239-253页

作者： Yang Xiu Dongfang Li Miaomiao Zhang Hongbin Deng Rob Law Yun Huang Edmond Q.Wu Xin Xu the School of Mechatronical Engineering Beijing Institute of TechnologyBeijing 100081China the School of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350108 the Antai College of Economics&Management Shanghai Jiao Tong UniversityShanghai 200240China the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China the Asia-Pacific Academy of Economics and Management University of MacaoMacao 999078China the Department of Decision Science Macao University of Science and TechnologyMacao 999078China the Department of Automation Shanghai Jiao Tong Universityand also with the Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai 200240China the College of Mechatronics and Automation National University of Defense TechnologyChangsha 410073China IEEE

This paper presents a finite-time sideslip differentiator-based line-of-sight(LOS)guidance method for robust path following of snake ***,finite-time stable sideslip differentiator and adaptive LOS guidance method are proposed to counteract sideslip drift caused by cross-track *** proposed differentiator can accurately observe the cross-track error and sideslip angle for snake robots to avoid errors caused by calculating sideslip angle *** our method,the designed piecewise auxiliary function guarantees the finite-time stability of position ***,for the case of external disturbances and state constraints,a Barrier Lyapunov functionbased backstepping adaptive path following controller is presented to improve the robot’s *** uniform ultimate boundedness of the closed-loop system is proved by analyzing ***,a gait frequency adjustment-based virtual velocity control input is derived to achieve the exponential convergence of the tangential *** last,the availability and superiority of this work are shown through simulation and experiment results.

关键词： Line-of-sight(LOS) path following sideslip snake robot

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Design and Analysis of a Knee Exoskeleton with Self-alignment Capability 30

Design and Analysis of a Knee Exoskeleton with Self-alignmen...

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30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Lu, Huijuan Su, Tingting Li, Guotao Liang, Xu Liu, Shengda Xiao, Wendong Xie, Shoulie Zhang, Jie He, Guangping North China University of Technology Department of Mechanical and Electrical Engineering Beijing100144 China Beijing University of Technology Faculty of Information Technology Beijing100124 China Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing100190 China Beijing Jiaotong University School of Automation and Intelligence Beijing100044 China University of Science and Technology School of Automation and Electrical Engineering Beijing100083 China A*Star Institute for Infocomm Research Singapore

ISBN: (纸本)9798350391916

The knee exoskeleton can assist patients for knee rehabilitation exercises. In this paper, a novel knee exoskeleton with self-alignment capability is proposed. First, the structure of the knee exoskeleton is designed, which has one active and four passive joints. The four passive joints are used to realize the self-alignment function of the knee exoskeleton. Second, the kinematic model is established and analysed. Third, simulations are conducted to validate the rotation ranges of human knee and hip joints. The simulation results demonstrate that the knee exoskeleton can meet the rehabilitation needs of the patients. © 2024 IEEE.

关键词： Exoskeleton (Robotics)

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Retinal disorder diagnosis based on hybrid deep learning models

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Multimedia Tools and Applications 2025年 1-25页

作者： Sedik, Ahmed El-Shafai, Walid El-Hag, Noha A. El-Banby, Ghada M. Abd El-Samie, Fathi E. Smart Systems Engineering Laboratory College of Engineering Prince Sultan University Riyadh11586 Saudi Arabia Department of the Robotics and Intelligent Machines Faculty of Artificial Intelligence Kafrelsheikh University Kafr el-Sheikh Egypt Computer Science Department Prince Sultan University Riyadh11586 Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt The Higher Institute of Commercial Sciences Algarbia Al Mahalla Al Kubra31951 Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia

Anomaly detection from medical images is badly needed for automated diagnosis. For example, medical images obtained with several modalities, such as magnetic resonance (MR) and confocal microscopy, need to be classified for anomaly detection. The MR images may contain tumors that need to be detected with anomaly detection techniques. In MR imaging, brain tumors are represented as areas composed of abnormal cells that need to be detected. On the other hand, confocal microscopy can be used for retinal imaging. Hence, there is a need to apply classification techniques for diagnosing diseases of the eye, such as Diabetic Retinopathy (DR), which leads to exudates in different regions of the retina. The detection of exudates is necessary for the diagnosis of DR. In this paper, two models are presented for the classification of MR and retinal images. Much research has been done in this area, but it did not achieve high accuracy of classification in an acceptable time. In addition, the previous models did not consider both types of image modalities considered in this paper. The suggested models are Convolutional Neural Network (CNN) and Convolutional Long Short-Term Memory (Conv-LSTM). They are used to classify normal and abnormal cases of both brain tumor and DR diseases. The CNN model is composed of six convolutional layers and six max-pooling layers. A soft-max activation function takes the classification decision. The proposed Conv-LSTM model is composed of three stages: pre-processing, feature extraction, and classification. The deep learning model performance is better than those of traditional networks. The CNN gives an accuracy of 94.26% for DR classification and 95.8% for brain tumor classification, while the Conv-LSTM gives the maximum accuracy of 96.41% for DR classification and 97.4% for brain tumor classification. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Confocal microscopy

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Design of Signal Conditioner for Sensor Equipment of Human Body Surrogate for Forensic Crash Testing 10

Design of Signal Conditioner for Sensor Equipment of Human B...

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10th International Conference on engineering and Emerging Technologies, ICEET 2024

作者： Vestenicky, Peter Kolla, Eduard University of Žilina Faculty of Electrical Engineering and Information Technology Department of Control and Information Systems Univerzitn 8215/1 Žilina010 26 Slovakia Institute of Forensic Research and Education University of Žilina Univerzitn 8215/1 Žilina01026 Slovakia

ISBN: (纸本)9798331532895

This paper describes design and measurements of signal conditioner used for amplification of signals from accelerometers intended to use in human body surrogate for forensic crash testing. The design consists of instrumentation amplifier, Bessel low pass antialiasing filter and final gain stage. The characteristics of conditioner (frequency response, impulse response) are measured and compared with professional amplifier Endevco 136. Final testing of the conditioner together with sensor Endevco 7264H-2K is performed on the drop weight impact tester and the results are compared with Endevco 136, too. © 2024 IEEE.

关键词： Impulse response

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Distributed Optimization with Finite Bit Adaptive Quantization for Efficient Communication and Precision Enhancement 63

Distributed Optimization with Finite Bit Adaptive Quantizati...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Rikos, Apostolos I. Jiang, Wei Charalambous, Themistoklis Johansson, Karl H. Artificial Intelligence Thrust of the Information Hub Guangzhou China The Hong Kong University of Science and Technology Department of Computer Science and Engineering Clear Water Bay Hong Kong Aalto University School of Electrical Engineering Department of Electrical Engineering and Automation Espoo Finland University of Cyprus School of Engineering Department of Electrical and Computer Engineering Nicosia1678 Cyprus Kth Royal Institute of Technology Division of Decision and Control Systems StockholmSE-100 44 Sweden

ISBN: (纸本)9798350316339

In realistic distributed optimization scenarios, individual nodes possess only partial information and communicate over bandwidth constrained channels. For this reason, the development of efficient distributed algorithms is essential. In our paper we addresses the challenge of unconstrained distributed optimization. In our scenario each node's local function exhibits strong convexity with Lipschitz continuous gradients. The exchange of information between nodes occurs through 3-bit bandwidth-limited channels (i.e., nodes exchange messages represented by a only 3 -bits). Our proposed algorithm respects the network's bandwidth constraints by leveraging zoom-in and zoom-out operations to adjust quantizer parameters dynamically. We show that during our algorithm's operation nodes are able to converge to the exact optimal solution. Furthermore, we show that our algorithm achieves a linear convergence rate to the optimal solution. We conclude the paper with simulations that highlight our algorithm's unique characteristics. © 2024 IEEE.

关键词： Bandwidth

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Wound Tissue Classification: A Comparative Analysis of Deep Neural Network Models

Wound Tissue Classification: A Comparative Analysis of Deep ...

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International Conference on Smart Systems and Technologies (SST)

作者： Antonio Antunović Emmanuel Karlo Nyarko Damir Filko Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia Department of Computer Engineering and Automation Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (数字)9798350386394

ISBN: (纸本)9798350386400

Wound tissue classification is an important task in medical imaging, with applications ranging from wound assessment to treatment planning. In this study, we investigated different neural network architectures and loss functions to improve the accuracy and efficiency of wound tissue classification. The study included eight different neural network architectures, including classic U-Net, MobileNet U-Net, Attention U-Net, Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net), Attention Recurrent Residual U-Net (R2AU-Net), Residual Network (ResNet-50), EfficientNet and SegFormer. Each architecture was trained separately with four different loss functions: categorical cross-entropy, weighted categorical cross-entropy, focal loss and soft dice loss. The comparative analysis revealed that the SegFormer architecture in conjunction with soft dice loss function achieved the most promising results on all classification metrics. The results of the study highlight the potential for further research in this area and emphasise the need for more comprehensive datasets to improve model performance.

关键词： Training Semantic segmentation Transformers Smart systems Robustness Distance measurement Data models Planning Decoding Residual neural networks

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Design and Implementation of Safety Functions for the CNC Milling Machine

Design and Implementation of Safety Functions for the CNC Mi...

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ELEKTRO

作者： Jozef Brtiš Juraj Ždansky Rastislav Pirník Department of Control and Information Systems Faculty of Electrical Engineering and Information Technology University of Žilina Žilina Slovakia

ISBN: (数字)9798350372359

ISBN: (纸本)9798350372366

The paper deals with the design and implementation of safety functions for a CNC milling machine. It is a relatively small CNC milling machine that does not pose a great danger to trained persons. Because it is used in areas where even untrained persons can come into contact with it, it was necessary to implement a safety system that implements safety functions preventing accidents when entering the dangerous zone of the CNC milling machine. The safety system is implemented based on a safety PLC and the sensors are designed using a two-channel architecture to meet the required SIL (safety integrity level).

关键词： Economics Education Milling Sensor systems Safety Sensors Standards

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Diagnostics of the Safety PLC Output Circuit and its Impact on Safety

Diagnostics of the Safety PLC Output Circuit and its Impact ...

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International Carpathian control Conference (ICCC)

作者： Juraj Ždánsky Karol Rástočný Jozef Hrbček Jozef Brtiš Rastislav Pirník Department of Control and Information Systems Faculty of Electrical Engineering and Information Technology University of Žilina Žilina Slovakia

ISBN: (数字)9798350350708

ISBN: (纸本)9798350350715

Safety PLCs are commonly used in industrial applications to implement safety functions. However, they almost always require output circuits for power adaptation between the safety PLC and the controlled technology. This power adaptation also affects safety. This paper focuses on the design of output circuit architecture that allows the use of diagnostic testing to improve safety, even during continuous operation where diagnostic testing is not usually possible.

关键词： Circuits Safety Testing

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When Does Sora Show:The Beginning of TAO to Imaginative Intelligence and Scenarios engineering

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 809-815页

作者： Fei-Yue Wang Qinghai Miao Lingxi Li Qinghua Ni Xuan Li Juanjuan Li Lili Fan Yonglin Tian Qing-Long Han School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Department of Electrical and Computer Engineering Indiana University-Purdue University IndianapolisIndianapolisIN 46202USA Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng LaboratoryShenzhen 518000China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia

DURING our discussion at workshops for writing“What Does ChatGPT Say:The DAO from Algorithmic Intelligence to Linguistic Intelligence”[1],we had expected the next milestone for Artificial Intelligence(AI)would be in the direction of Imaginative Intelligence(II),i.e.,something similar to automatic wordsto-videos generation or intelligent digital movies/theater technology that could be used for conducting new“Artificiofactual Experiments”[2]to replace conventional“Counterfactual Experiments”in scientific research and technical development for both natural and social studies[2]-[6].Now we have OpenAI’s Sora,so soon,but this is not the final,actually far away,and it is just the beginning.

关键词： something Intelligence replace

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