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IEEE International Conference on Semiconductor Electronics (ICSE)

作者： Silva Nurfasha Chandra Wulandari Lilik Hasanah Ahmad Aminuddin Yanurita Dwi Hapsari Mohammad Arifin Roer Eka Pawinanto Budi Mulyanti Study Program of Physics Universitas Pendidikan Indonesia Bandung Indonesia Study Program of Physics Institut Teknologi Bandung Bandung Indonesia Department of Physics Faculty of Science and Data Analytics Institut Teknologi Sepuluh Nopember Surabaya Indonesia Study Program of Industrial Automation and Robotics Engineering Education Universitas Pendidikan Indonesia Bandung Indonesia Study Program of Electrical Engineering Universitas Pendidikan Indonesia Bandung Indonesia

ISBN: (数字)9798350378313

ISBN: (纸本)9798350378320

The kidney is a human organ with numerous vital functions, mainly for blood filtration. Damage to the kidneys can be detected from albumin levels in urine, higher levels of albumin in urine indicate the kidney's filtration function is impaired. The latest breakthrough in the medical field is the use of localized sensor plasma resonance (LSPR) in the field of biosensors to detect albumin protein in urine. Using Finite-Difference Time-Domain (FDTD) simulation, the lateral size of hexagonal gold nanoparticles (AuNPs) is varied to increase the optimal LSPR. AuNPs are well-known as the most promising material for plasmonic applications. In several studies, the hexagonal geometry was reported to increase the surface area of nanoparticles as well as enhance the LSPR signal. Varying the geometry of the hexagonal AuNPs will affect their sensitivity and optical properties. In this study, the lateral size of the hexagonal AuNPs varied from 10 nm to 60 nm, with a controlled thickness of 30 nm. The absorption graph blue shifts with the peak decreasing until the graph has almost no peak as the lateral size decreases. The lateral size of 40 nm at a thickness of 30 nm was found to have the highest shifting response towards the change of refractive index, indicating good sensitivity for sensors. Simulation of hexagonal AuNPs-based LSPR detection of albumin concentrations of 0.35 –5.71 mM produces a sensitivity of 2.59 nm/mM, equivalent to 245.96 nm/RIU. The competitive performance and ease of detection procedures in real applications show the potential of the hexagonal AuNPs-based LSPR sensor to be further explored in developing alternative albumin detection techniques.

关键词： Nanoparticles Geometry Gold Sensitivity Filtration Absorption Refractive index

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Identification and Control of industrial Hydraulic Actuators with a Hammerstein-Wiener Model Approach 1st

Identification and Control of Industrial Hydraulic Actuators...

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1st International Symposium on Systems Modelling and Simulation, SMS 2024

作者： Mohamad Ali, Nur Husnina Jaafar, Hazriq Izzuan Ghazali, Rozaimi Ghani, Muhamad Fadli Soon, Chong Chee Has, Zulfatman Fakulti Teknologi dan Kejuruteraan Elektrik Universiti Teknikal Malaysia Melaka Melaka Malaysia Center for Robotics and Industrial Automation Universiti Teknikal Malaysia Melaka Melaka Malaysia Department of Control and Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia Penang Branch Campus Pulau Pinang Malaysia Electrical Engineering Department University of Muhammadiyah Malang Malang Indonesia

ISBN: (纸本)9789819646128

In motion control applications, the precise regulation of industrial Hydraulic Actuators (IHA) is essential for properly ascertaining the position of the actuator rod. This research used a Hammerstein-Wiener (HW) model to characterize the system, integrating a dead zone to account for nonlinearities and using an open-loop methodology. A grey-box modelling technique is used for estimating the discrete-time model of the system and identifying its parameters. The System Identification toolbox in MATLAB functions as the principal instrument for model estimation, using input-output data acquired via experimental procedures. The validation of the input-output data demonstrated a promising best-fit percentage of 88.21%, indicating a robust connection between the HW model and the real system. To assess the trajectory tracking efficacy of the system, Proportional-Integral-Derivative (PID) and Fractional Order PID (FOPID) controllers developed and evaluated using both simulation and experimental data based on a multi-sinusoidal trajectory. The findings indicate that the FOPID controller surpasses the traditional PID controller, producing reduced Mean Square Error (MSE) and Root Mean Square Error (RMSE) values. In simulations, the FOPID control technique enhanced MSE by 32.8% and RMSE by 18.0% relative to the PID controller, although the experimental findings indicated improvements of 31.9% and 17.5%, respectively. The results highlight the superior efficacy of the FOPID controller in improving trajectory tracking performance owing to its greater complexity and flexibility. Future research may concentrate on developing more sophisticated controllers, including intelligent or nonlinear variants, to enhance the tracking precision of the IHA system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Three term control systems

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Adaptive Fuzzy Sliding Mode Control With Logarithmic Sliding Surface for Active Suspension Systems

Adaptive Fuzzy Sliding Mode Control With Logarithmic Sliding...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： Andika Aji Wijaya Fitri Yakub Winda Astuti Mahmud Iwan Solihin S. Syafiie Department of Mechanical Engineering University of Business and Technology (UBT) Jeddah Saudi Arabia Department of Electronic Systems Engineering University of Technology Malaysia (UTM) Kuala Lumpur Malaysia Department of Computer Engineering BINUS ASO School of Engineering Automotive and Robotics Program Bina Nusantara University (BINUS) Jakarta Indonesia Department of Mechanical and Mechatronics Engineering UCSI University Kuala Lumpur Malaysia Department of Chemical and Materials Engineering Faculty of Engineering-Rabigh King Abdulaziz University Jeddah Saudi Arabia

ISBN: (数字)9788993215380

ISBN: (纸本)9798331517939

This paper introduces a hybrid control strategy that integrates the unique features of natural logarithm sliding mode control (lnSMC) and fuzzy logic systems. The lnSMC control approach ensures that the vibration amplitude remains within a bound, as determined by the parameters of the lnSMC switching function. Furthermore, the fuzzy logic system is employed to approximate the nonlinearities and uncertainties inherent in the suspension system components, such as the spring and damper. The stability of the closed-loop system is analyzed using the Lyapunov stability theorem, guaranteeing convergence within a finite time. To validate the effectiveness of the proposed controller, a simulation study was carried out using a quarter-car suspension model, considering the system’s nonlinearities, parameter uncertainties, and various external disturbances. The results indicate that the proposed controller significantly improves ride comfort while maintaining suspension deflection and road holding within critical safety limits.

关键词： Fuzzy logic Vibrations Uncertain systems Uncertainty Roads Switches Stability analysis Vehicle dynamics Springs Sliding mode control

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Machine Learning Algorithms for Natural Language Processing Tasks: A Case of COVID-19 Twitter data (Thailand)

Machine Learning Algorithms for Natural Language Processing ...

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International Conference on Computational Science and Computational Intelligence (CSCI)

作者： Kunyanuth Kularbphettong Rujijan Vichivanives Pannawat Kanjanaprakarn Jaruwan Chutrtong Nareenart Ruksuntorn Computer Science Program Suan Sunandha Rajabhat University Bangkok Thailand Faculty of Science and Technology Suan Sunandha Rajabhat University Bangkok Thailand Robotics Engineering program Faculty of Industrial Technology Suan Sunandha Rajabhat University Bangkok Thailand

This paper presents the use of natural language processing for the problem of information extraction and sentiment analysis. The dataset is from Twitter that has the information of people mentioning about COVID-19, this study has two tasks: (i) classification approach for information extraction task and (ii) deep learning approach for sentiment analysis task. In information extraction task, the data was gathered from twitter that related to COVID-19 information, and the sequence labelling method applied to classify text before giving it to classification algorithms (K-NN, Naïve Bayes, Decision Tree, Random Forest, and SVM). In sentiment analysis task, data was classified by convert the word into index and using word embedding, then to process deep learning algorithm (Bi-directional GRU). The accuracy of two tasks are 98% and 79% respectively.

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DeepCat: A Deep Learning Approach to Understand Your Cat's Body Language

DeepCat: A Deep Learning Approach to Understand Your Cat's B...

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Electronics, Communications, and Computations (JAC-ECC), International Japan-Africa Conference on

作者： Arwa Fawzy Ahmed Hassan Ahmed Gad Ahmed B. Zaky Haitham El-Hussieny Computer Science and Information Technology (CSIT) program Egypt-Japan University of Science and Technology Alexandria Egypt Department of Computer Science Engineering (CSE) Egypt-Japan University of Science and Technology Alexandria Egypt Electrical Engineering Department Faculty of Engineering at Shoubra Benha University Egypt Department of Mechatronics and Robotics Engineering Egypt-Japan University of Science and Technology Alexandria Egypt

Pet owners experience difficulty in understanding their pets' body language and its implications for animal welfare, given that animals cannot utilize human speech to communicate their emotions and health conditions. However, previous experiments for analyzing cat behavior have demonstrated that cats are precisely expressive. DeepCat, a deep-learning approach developed in this study, translates cats' body language signals, enabling owners to discern their feline companions' intended messages and emotional states. Our DeepCat model was trained on a dataset comprising 10,000 cat images, implementing automatic labeling to track key features, including the tail, eyes, and mouth. Presented as a Flutter application, DeepCat can function everywhere, allowing owners to easily monitor their cats and make informed decisions in situations that require caution. This paper discusses the potential benefits and limitations of DeepCat and provides suggestions for future research in this domain.

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Microengineered platforms for characterizing the contractile function of in vitro cardiac models

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Microsystems & Nanoengineering 2022年第1期8卷 29-50页

作者： Wenkun Dou Manpreet Malhi Qili Zhao Li Wang Zongjie Huang Junhui Law Na Liu Craig A.Simmons Jason T.Maynes Yu Sun Department of Mechanical and Industrial Engineering University of TorontoTorontoON M5S 3G8Canada Program in Molecular Medicine The Hospital for Sick ChildrenTorontoON M5G 1X8Canada Department of Biochemistry University of TorontoTorontoON M5S 1A8Canada Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics Nankai UniversityTianjin 300350China School of Mechanical&Automotive Engineering Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353China School of Mechatronics Engineering and Automation Shanghai UniversityShanghai 200444China Institute of Biomedical Engineering University of TorontoTorontoON M5S 3G9Canada Translational Biology&Engineering Program Ted Rogers Centre for Heart ResearchTorontoON M5G 1M1Canada Department of Anesthesiology and Pain Medicine University of TorontoTorontoON M5S 1A8Canada Department of Anesthesia and Pain Medicine The Hospital for Sick ChildrenTorontoON M5G 1X8Canada Department of Electrical and Computer Engineering University of TorontoTorontoON M5S 3G4Canada Department of Computer Science University of TorontoTorontoON M5T 3A1Canada

Emerging heart-on-a-chip platforms are promising approaches to establish cardiac cell/tissue models in vitro for research on cardiac physiology,disease modeling and drug cardiotoxicity as well as for therapeutic *** still exist in obtaining the complete capability of in situ sensing to fully evaluate the complex functional properties of cardiac cell/tissue *** to contractile strength(contractility)and beating regularity(rhythm)are particularly important to generate accurate,predictive *** new platforms and technologies to assess the contractile functions of in vitro cardiac models is essential to provide information on cell/tissue physiologies,drug-induced inotropic responses,and the mechanisms of cardiac *** this review,we discuss recent advances in biosensing platforms for the measurement of contractile functions of in vitro cardiac models,including single cardiomyocytes,2D monolayers of cardiomyocytes,and 3D cardiac *** characteristics and performance of current platforms are reviewed in terms of sensing principles,measured parameters,performance,cell sources,cell/tissue model configurations,advantages,and *** addition,we highlight applications of these platforms and relevant discoveries in fundamental investigations,drug testing,and disease ***,challenges and future outlooks of heart-on-a-chip platforms for in vitro measurement of cardiac functional properties are discussed.

关键词： cardiac contractile regularity

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Minirover with Mixed Suspension System

Minirover with Mixed Suspension System

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International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Viorel Ionut Gheorghe Silviu Petrache Adrian Laurentiu Cartal Alexandra Rotaru Ionut Iulian Tudorache Faculty of Mechanical Engineering and Mechatronics University POLITEHNICA of Bucharest Bucharest Romania Faculty of Industrial Engineering and Robotics University POLITEHNICA of Bucharest Bucharest Romania

ISBN: (数字)9781728168432

ISBN: (纸本)9781728168449

The paper describes the concept and the implementation of a mixed suspension system on a minirover. The solution consists in a front rocker-bogie suspension with four non actuated wheels coupled with a spring-loaded suspension mechanism, while having in the back steerable traction wheels mounted on a spring-loaded suspension type mechanism. Furthermore, the delicate modules of the rover, have an additional damping system in order to limit the unwanted vibrations to these modules. The sum of these systems, along with proper electric drivetrain and specific control strategies, can make the minirover able to confront difficult terrains, while limiting the unwanted movement of its upper part. In most cases the mixed suspensions endows the minirover with capabilities like of climbing steps, different obstacles, with heights up to the diameter of the front wheels and more in special conditions, while having all six wheels in contact with the surface. The main control system of the minirover consists in a a miniboard computer Raspberry Pi attached to a touchscreen that facilitates an onsite software debugging or an online one.

关键词： Wheels Suspensions (mechanical systems) Kinematics Robots Economic indicators Force Mobile robots

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A fault diagnosis benchmark of technical systems with incomplete data — six solutions

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Control engineering Practice 2025年 164卷

作者： Jung, Daniel Frisk, Erik Krysander, Mattias Sztyber-Betley, Anna Corrini, Francesco Arici, Andrea Anselmi, Nicolas Mazzoleni, Mirko Xu, Jiamin Mo, Siwen Xu, Zixuan Yang, Chongpan Du, Zhile Safaeipour, Hossein Forouzanfar, Mehdi Mirahi, Vahid Pinnarelli, Anna Puig, Vicenç Deng, Qiao Liu, Yufei Liu, Jiakun Ke, Haobin Zhu, Wanting Merkelbach, Silke Ahang, Maryam Najjaran, Homayoun Vehicular Systems Department of Electrical Engineering Linköping University Linköping SE-581 83 Sweden Faculty of Mechatronics Warsaw University of Technology Warsaw 02-525 Poland Department of Management Information and Production Engineering University of Bergamo Via G. Marconi 5 Dalmine (BG) 24044 Italy School of Automation Central South University Changsha 410083 China Department of Electrical Engineering Ahv.C. Islamic Azad University Ahvaz Iran Department of Mechanical Energy and Management Engineering (DIMEG) University of Calabria Rende Italy Institute of Robotics and Industrial Informatics (CSIC-UPC) University of Catalonia Barcelona Spain Advanced Systems Engineering Fraunhofer IEM Paderborn 33102 Germany Department of Electrical and Computer Engineering University of Victoria Victoria V8W 2Y2 BC Canada

This paper presents a benchmark problem for fault diagnosis of an internal combustion engine that has been formulated and solved. The objective is to design a diagnosis system using and incomplete model information training data that only contains a limited set of fault realizations. Six different solutions to the benchmark, that were presented at the IFAC Safeprocess symposium 2024, are described and evaluated. The contribution of this paper is the benchmark and the presentation of six different solutions in one paper. The paper is intended to provide a starting point for engineers and researchers who work with fault diagnosis and monitoring of technical systems. © 2025 The Authors

关键词： Data-driven fault diagnosis Fault detection and isolation Model-based diagnosis

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Rabi antenna using microstrip add-drop multiplexer for electron warp speed investigation

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Chinese Optics Letters 2022年第7期20卷 80-87页

作者： Somchat Sonasang Prakasit Prabpal Piya Sirikan Pratimakorn Hakaew Nhat Truong Pham Preecha Yupapin Kanad Ray Sarawoot Boonkirdram Department of Electronic Technology Faculty of Industrial TechnologyNakhon Phanom UniversityNakhon Phanom 48000Thailand Department of Electrical Technology School of Industrial TechnologySakonnakhon Technical CollegeInstitute of Vocational Education Northeastern Region 2Sakonnakhorn 47000Thailand Division of Computational Mechatronics Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh City 72915Vietnam Faculty of Electrical and Electronics Engineering Ton Duc Thang UniversityHo Chi Minh City 72915Vietnam Amity School of Applied Sciences Amity University RajasthanJaipurIndia Faubert Lab Universitéde MontréalH3T 1P1 MontréalCanada Facultad de CienciasFisico-Matematicas Benemérita Universidad Autónoma de PueblaAv.San Claudio y Av.18 surCol.San Manuel Ciudad UniversitariaPuebla Pue 72570Mexico Program of Electrical and Electronics Faculty of Industrial TechnologySakon Nakhon Rajabhat UniversitySakon Nakhon 47000Thailand

This work presents experimental results of Rabi antenna characteristics using the coupled line microstrip *** was constructed by a modified coupled line microstrip four-port network,which is known as an add-drop *** driven AC input enters the device via an input port using the suitable frequency and coupled line microstrip ring *** multilevel system is generated by a wave-particle aspect before the two-level system is *** the resonance,the transitions of the states induce the energy called whispering gallery mode(WGM)at the circuit center,which is the squeezed *** generated electron oscillation within the WGM envelope oscillated by the frequency is known as the Rabi *** the successive filtering with continuous AC input via the selected port,the electron cloud warp speed can be generated and achieved inside the two-level *** constructed microstrip ring radius is 25 mm,and the experimental results of the Rabi antenna characteristics are in good agreement with the simulation *** obtained resonant antenna oscillation frequency is 2.103 *** electron cloud warp speed of 1.100c and time dilation of 0.006μs are obtained.

关键词： integrated photonics waveguide microwave photonics Rabi antenna

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A Normal Distribution Transform-Based Radar Odometry Designed For Scanning and Automotive Radars

arXiv

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arXiv 2021年

作者： Kung, Pou-Chun Wang, Chieh-Chih Lin, Wen-Chieh Graduate Degree Program of Robotics National Chiao Tung University Hsinchu Taiwan Department of Electrical and Computer Engineering National Chiao Tung University The Mechanical and Mechatronics Systems Research Laboratories Industrial Technology Research Institute Hsinchu Taiwan Department of Computer Science National Chiao Tung University Hsinchu Taiwan

Existing radar sensors can be classified into automotive and scanning radars. While most radar odometry (RO) methods are only designed for a specific type of radar, our RO method adapts to both scanning and automotive radars. Our RO is simple yet effective, where the pipeline consists of thresholding, probabilistic submap building, and an NDT-based radar scan matching. The proposed RO has been tested on two public radar datasets: the Oxford Radar RobotCar dataset and the nuScenes dataset, which provide scanning and automotive radar data respectively. The results show that our approach surpasses state-of-the-art RO using either automotive or scanning radar by reducing translational error by 51% and 30%, respectively, and rotational error by 17% and 29%, respectively. Besides, we show that our RO achieves centimeter-level accuracy as lidar odometry, and automotive and scanning RO have similar accuracy. Copyright © 2021, The Authors. All rights reserved.

关键词： Optical radar

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