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Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XVI 2023

作者： Wu, Pei-Jung Hung, Jing-Ting Hsieh, Cho-Fan Yang, Chii-Rong Yang, Chan-Shan Institute and Undergraduate Program of Electro-Optical Engineering National Taiwan Normal Univ. Wenshan Dist. Taipei City116 Taiwan Dept. of Mechatronic Engineering National Taiwan Normal Univ. Daan Dist. Taipei City106 Taiwan Photovoltaic Metrology Laboratory Center for Measurement Standards Industrial Technology Research Institute Hsinchu County 310 Taiwan

ISBN: (纸本)9781510659452

Research has shown that breath exhaled from human lungs contains hundreds of volatile organic compounds (VOCs), from which illnesses and physical phenomena of organ systems can be detected. We can use exhaled nitric oxide (ENO) concentration to test whether a patient has a chronic obstructive pulmonary disease (COPD). One significant advantage of using exhaled breath to examine the existence of illness is that the examination is non-invasive, posing no extra risks to human bodies. In the past two decades, some studies applied electronic sensors in detecting the concentration of nitric oxide, and the sensors needed to operate at high temperatures. However, few studies are about optical detection with a measuring range from ultraviolet to visible light, and the range could cause harm to human skin. In this paper, we used tunable metamaterial to build a split-ring resonator (SRR) that resonates in the region of terahertz (THz) frequency. The resonant peak was designed to appear at 0.250 THz, which is the resonant peak of nitric oxide. In order to increase the total volume of gas adsorption, we laid a compound layer that consisted of a layer of zinc titanium oxide and a layer of graphene on the metamaterial's surface to enhance the sensitivity (ΔT/Δn) of the component from 2% to 12.6%. We hope to develop the research result into a component that monitors and examines the physical conditions of human bodies and expect to apply the component in the development of wearable electronic components. © 2023 SPIE.

关键词： Nitric oxide

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Kinematics Analysis of a 3DoF Hip Exoskeleton and Workspace Simulation

Kinematics Analysis of a 3DoF Hip Exoskeleton and Workspace ...

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2021 International Conference on Mechanical, Aerospace and Automotive engineering, CMAAE 2021

作者： Huamanchahua, Deyby Soto Conde, Nick Vasquez Frias, Jean Carlos Lopez Meza, Diego Alvarez-Rodríguez, Angel E. Department of Electrical and Mechatronics Engineering Universidad de Ingenieria y Tecnologia - Utec Lima Peru Mechatronics Engineering Program Universidad Nacional de Ingeniería Lima Peru Department of Mechatronics Engineering Universidad Peruana de Ciencias Aplicadas Lima Peru Department of Mechatronic Engineering Universidad Continental Huancayo Peru Mechatronic Engineering Universidad Tecnológica Del Perú Lima Peru

ISBN: (纸本)9781450385206

This paper deals with the direct kinematic analysis of a hip exoskeleton with 3 Degrees of Freedom (DoF), to assist users in walking. A methodology based on the Denavit Hartenberg (D-H) convention is presented, in the orientation Euler angles were used. For the calculation the open-source software Jupiter is used as a testing tool, the simulation is performed with Wolfram software. The results obtained will be used for dynamic analysis and mechanical design in subsequent studies. © 2021 ACM.

关键词： Denavit-Hartenberg convention Exoskeleton Hip Kinematic analysis

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Optimal plant growth through thermo mechatronic analysis 26

Optimal plant growth through thermo mechatronic analysis

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26th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2022

作者： Calderón, J. Alan Tafur, Julio Barriga, Benjamín Alencastre, Jorge Solano, Gonzalo Urbizagástegui, Rodrigo Lozano, John Chancán, Marvin Applied Nanophysics Institute for Physics Technical University of Ilmenau Ilmenau98693 Germany Engineering Department Mechatronic Master Program Pontificia Universidad Católica del Peru Lima15088 Peru Federal University Arkhangelsk163002 Russia Electrical Engineering and Robotics School Queensland University of Technology St LuciaQLD4072 Australia

ISBN: (纸本)9781950492640

This work is described as a proposal to apply modern control techniques and automation tools for optimal plant growth, also it was based on key agricultural strategies that were developed by ancient civilizations such as the Inca Empire. Many of them ancient techniques including the Inca engineering of andenes were forgotten or set aside through time. In this research, however, some of these key techniques are revisited to analyze and evaluate optimal plant growth using sensors and actuators that were not available in ancient civilizations. In addition, predictive and adaptive mathematical models are used for plant growth analysis of thermodynamic parameters such as temperature, humidity and potential of Hydrogen (pH). Furthermore, there were compared performances of sensors (electromechanical sensors) with designed sensors that were based in nanostructures, because of better study of the plant growth techniques. Copyright 2022. © by the International Institute of Informatics and Systemics. All rights reserved.

关键词： Nanostructures

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Modulating Functions Analysis For Wireless Data Transmission Because Of Advanced Sensors In Energy-Saving Process Of Washing

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2023年第6期21卷 695-700页

作者： Calderón Ch., J. Alan Sotelo, Julio C. Tafur Gamarra, Benjamín Barriga Alencastre, Jorge Álex, Quispe M. Ccarita, F. Alan Applied Nanophysics Institute for Physics Technical University of Ilmenau Ilmenau98693 Germany Mechatronic Engineering Master Program Engineering Department Pontificia Universidad Católica del Perú Peru Aplicaciones Avanzadas en Sistema Mecatrónicos JACH S.A.C Peru

The vibration measurement of flows in transient or steady-state is a very complicated task. Moreover, to correlate it with a temperature process is quite important according to get information regarding molecular kinetic energy of thermal sources (such as flow measurement used in cleaning tasks) according to achieve heating transfer information of a thermal process. However, there is a trouble concerning the transduction stage in the measurement while it is not a transducer designed algorithm as a consequence of a mathematical model, which correlates the calibration data with the theoretical model of the heating/vibration transfer. For this reason, in this research is proposed intelligent sensors/transducers, which are based on Anodic Aluminium Oxide (AAO) and a mathematical procedure of the measurement instrumentation according to adaptive coefficients in the Modulating Functions strategies analysis and getting optimal measurements. In this research is explained and analysed the temperature measurement process and the transduction process as the strict correlation of the calibration of the temperature/vibration sensor. For this reason, there were evaluated different transducers and the temperature/vibration reference for the calibration. The based on nanostructures temperature sensors are designed by specific and complex procedures according to achieve quite operation range, robustness and precision. Moreover, the transduction can be obtained through different electrical answer variables such as voltage, electrical current or capacitance and possible to send by wireless mechanisms and protocols to the main control system. Therefore, the evaluation of the designed advanced sensor performance was achieved by the vibration and temperature measurement of the water surface of a ultrasound washing machine, for which the designed sensor enhances energy-saving of the washing process. © 2023, European Association for the Development of Renewable Energy, Environment and Powe

关键词： Kinetics

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Design and Evaluation of Magnetic Induction Spectroscopy Probe for pH Measurement in Fetal Hypoxia Using COMSOL Multiphysics Simulation 3rd

Design and Evaluation of Magnetic Induction Spectroscopy Pro...

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3rd International Conference on Control, Instrumentation and mechatronics engineering, CIM 2022

作者： Halim, S. F. Abdul Zakaria, M.H. Zakaria, Z. Ahmed, A.A. Norali, A.N. Noor, A. Mohd Pusppanathan, J. Rahiman, M. H. Fazalul Muji, S. Z. Mohd Rahim, R. Abdul Biomedical Electronic Engineering Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Perlis Arau02600 Malaysia Universiti Teknologi Malaysia Johor Skudai81310 Malaysia Mechatronic Engineering Program Faculty of Electrical Engineering Technology Universiti Malaysia Perlis Perlis Arau02600 Malaysia Electronic Engineering Department Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Johor Batu Pahat Parit Raja86400 Malaysia School of Electrical Engineering Faculty of Engineering Universiti Teknologi Malaysia Johor Skudai81310 Malaysia

ISBN: (纸本)9789811939228

Fetal Blood Sampling (FBS) is the term used to describe the current method of monitoring the foetal condition within the mother’s womb. FBS required the medical officer to make a small incision on the foetus’s head in order to collect blood for analysis of the blood pH level in order to prevent acidosis or foetal hypoxia. The FBS method, on the other hand, is invasive and increases the risk of infection for both mother and child. Magnetic Induction Spectroscopy (MIS) is a novel method for diagnosing the foetus’s pH level that is non-invasive and non-intrusive. A single channel MIS system is composed of a transmitter (TX), a receiver (RX), and an electrical circuit that generates and receives magnetic fields in response to the conductivity of the sample (blood) due to the presence of weak electrolytes (H+ and OH-). The purpose of this research is to develop and evaluate five different designs of TX-RX coils. The coils are designed using the Planar Zero Flow Coil (PZFC) concept, which allows for multiple coil configurations and input-output configurations. The results show that Design 2 open set model was the optimal coil design for MIS system probe, as well as some contributions to the pH evaluation process. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Spectroscopy

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Optimization for vibration analysis in rotating machines

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2022年 20卷 369-373页

作者： Calderón Ch, J. Alan Tafur Sotelo, Julio C. Gamarra, Benjamín Barriga Alencastre, Jorge Lozano, John Urbizagástegui, Rodrigo Solano, Gonzalo Menacho, Daniel Applied Nanophysics Institute for Physics Technical University of Ilmenau Ilmenau98693 Germany Control Engineering and Automation Master Program Mechatronic Engineering Master Program Engineering Department Pontificia Universidad Católica del Perú Peru Federal University named after MV Lomonosov Arkhangelsk Russia

A not stable mechanical movement transmission between systems produces equilibrium losses, such as a rotor of motors that are coupled in rotating machines. This can be studied as a disturbance "vibration" either as characteristic of the movement transmission due to controlled displacement over rotors, which transmits the movement. Therefore, in this research is presented an analysis for an optimal control of the rotor axis displacement that includes "vibration" as the part of the movement transmission. It implies mathematical modelling and specific sensors selections to correlate the vibration in this control task. Furthermore, in order to verify the proposed analysis, it was simulated and tested in a hybrid magnetic bearing system. © 2022, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Vibration analysis

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Development of terahertz metamaterial gas sensor utilizing novel composite membrane ZnO/V-MOF for nitrogen dioxide detection 17

Development of terahertz metamaterial gas sensor utilizing n...

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Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XVII 2024

作者： Chen, You-Jen Wu, Pei-Jung Hsieh, Cho-Fan Yang, Chii-Rong Yang, Chan-Shan Institute and Undergraduate Program of Electro-Optical Engineering National Taiwan Normal Univ Wenshan Dist. Taipei City116 Taiwan Green Energy Testing and Certification Division Center for Measurement Standards Industrial Technology Research Institute Hsinchu County310401 Taiwan Dept. of Mechatronic Engineering National Taiwan Normal Univ. Daan Dist. Taipei City106 Taiwan Micro/Nano Device Inspection and Research Center National Taiwan Normal University Taipei106 Taiwan Center National Cheng Kung University Tainan70101 Taiwan

ISBN: (纸本)9781510670303

Recently, the combination of gas sensors and metamaterials has emerged as a popular research area. However, traditional gas sensors typically rely on electrochemical methods for detection, requiring operation in high-temperature environments and presenting potential explosion risks. To address these challenges, this study utilizes terahertz low-energy photons with high transmission and broad bandwidth as a detection source, enabling devices to operate under normal conditions at room temperature. This approach aims to enable comprehensive material information retrieval while preventing combustion or explosions during interaction with the tested substance. Zinc oxide (ZnO) has been widely utilized in gas sensors, with the technology reaching a certain level of advancement. Additionally, our focus lies on the study of metal-organic framework (MOF) materials, which offer significant advantages in gas sensing applications. Key characteristics of MOFs include a large surface area, high porosity, and unique surface properties. These materials can be fabricated using various metals to create corresponding gas sensing films, and their properties can be further tailored through modification with different polar molecules and the introduction of other catalysts. While there is extensive research on MOFs based on vanadium as a framework, there is limited literature on their gas sensing applications, underscoring their research value. Nitrogen dioxide (NO2) is a volatile, pungent, odorous, and toxic gas that poses a fatal threat to both humans and the environment. Therefore, gas sensing technology for NO2 is of utmost importance. In this regard, our research is dedicated to the development of optical gas sensors using novel composite materials. Nanostructures of ZnO and V-MOF are prepared respectively, and these composite materials are integrated with metamaterials for the detection of NO2 gas. © 2024 SPIE.

关键词： Zinc oxide

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Kinematics Analysis of a 3DoF Hip Exoskeleton and Workspace Simulation 2021

Kinematics Analysis of a 3DoF Hip Exoskeleton and Workspace ...

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2021 International Conference on Mechanical, Aerospace and Automotive engineering

作者： Deyby Huamanchahua Nick Soto Conde Jean Carlos Vasquez Frias Diego Lopez Meza Angel E. Alvarez-Rodríguez Department of Electrical and Mechatronics Engineering Universidad de Ingenieria y Tecnologia - UTEC Peru Mechatronics Engineering Program Universidad Nacional de Ingeniería Peru Department of Mechatronics Engineering Universidad Peruana de Ciencias Aplicadas Peru Department of Mechatronic Engineering Universidad Continental Peru Mechatronic Engineering Universidad Tecnológica del Perú Peru

ISBN: (纸本)9781450385206

关键词： Hip Exoskeleton Kinematic analysis Denavit-Hartenberg convention

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Design of an Advanced System-on-Chip Architecture for Chaotic Image Encryption

Design of an Advanced System-on-Chip Architecture for Chaoti...

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Symposium on Integrated Circuits and Systems Design (SBCCI)

作者： Arthur M. Lima Lucas G. Nardo Erivelton Nepomuceno Janier Arias-Garcia Jones Yudi Graduate Program in Mechatronic Systems University of Brasília Brasília Brazil Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte Brazil Department of Electronic Engineering Center for Ocean Energy Research Maynooth University Maynooth reland Department of Electronic Engineering Federal University of Minas Gerais Belo Horizonte Brazil Department of Mechanical Engineering University of Brasília Brasília Brazil

With the rise of interconnected systems, security has become a crucial concern. As a result, there has been a growing interest in developing low-cost embedded cryptographic algorithms that are lightweight and can be integrated into System-on-Chip (SoC) devices. Digital chaotic systems have emerged as a promising approach for building secure communication systems, where various cryptosystems utilize chaotic dynamics to encrypt images into noise-like representations. Recent studies have demonstrated that finite-precision error can be used to derive chaos, which can be systematically applied to encrypt images. However, there is a lack of research on how SoC-based design constraints affect the overall performance of image encryption systems, especially for applications that are sensitive to latency. This study aims to address this gap by presenting an efficient architecture that explores a hardware/software co-design for image encryption based on finite-precision error, specifically designed for resource-limited devices and latency-sensitive applications. Our platform performs the capture and encryption of images with a size of 320 × 240. Using a benchmark image, results show that the developed cryptosystem architecture can encrypt images efficiently while offering low hardware occupation.

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Comparison of Algebraic Reconstruction Technique Methods and Generative Adversarial Network in Image Reconstruction of Magnetic Induction Tomography (MIT)

Comparison of Algebraic Reconstruction Technique Methods and...

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2021 International Conference on Biomedical engineering, ICoBE 2021

作者： Lubis, A.J. Nasir, N.F. Mohd Zakaria, Z. Jusoh, M. Azizan, M.M. Zakaria, M.Z. Kazim, M.N.F.M. Rahman, S. Faculty of Engineering and Computer Science Universitas Harapan Medan Medan Indonesia Computer Engineering Program Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Biomedical Electronic Engineering Program Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Universiti Malaysia Perlis Perlis Malaysia Department of Electrical and Electronic Department Faculty of Engineering and Built Environment Universiti Sains Islam Malaysia Negeri Sembilan Malaysia Faculty of Mechanical Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Mechatronic Engineering Program Faculty of Electrical Engineering Technology Universiti Malaysia Perlis Perlis Malaysia

Magnetic induction tomography (MIT) is a technique used for imaging electromagnetic properties of objects using eddy current effects. The non-linear characteristics had led to more difficulties with its solution especially in dealing with low conductivity imaging materials such as biological tissues. Two methods that could be applied for MIT image processing which is the Generative Adversarial Network (GAN) and the Algebraic Reconstruction Technique (ART). ART is widely used in the industry due to its ability to improve the quality of the reconstructed image at a high scanning speed. GAN is an intelligent method which would be able to carry out the training process. In the GAN method, the MIT principle is used to find the optimum global conductivity distribution and it is described as a training process and later, reconstructed by a generator. The output is an approximate reconstruction of the distribution's internal conductivity image. Then, the results were compared with the previous traditional algorithm, namely the regularization algorithm of BPNN and Tikhonov Regularization method. It turned out that GAN had able to adjust the non-linear relationship between input and output. GAN was also able to solve non-linear problems that cannot be solved in the previous traditional algorithms, namely Back Propagation Neural Network (BPNN) and Tikhonov Regularization method. There are several other intelligent algorithms such as CNN (Convolution Neural Network) and K-NN (K-Nearest Neighbor), but such algorithms have not been able to produce the expected image quality. Thus, further study is still needed for the improvement of the image quality. The expected result in this study is the comparison of these two techniques, namely ART and GAN to get the best results on the image reconstruction using MIT. Thus, it is shown that GAN is a better candidate for this purpose. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Generative adversarial networks

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