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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Yupeng Wu Miguel Figueroa Hernández Tian Lei Siddarth Jayakumar Rohan R. Lalapet Alexandra Joshi-Imre Mark E. Orazem Kevin J. Otto Stuart F. Cogan Department of Material Science Engineering The University of Texas at Dallas Richardson TX USA Department of Bioengineering The University of Texas at Dallas Richardson TX USA Department of Electrical & Computer Engineering The University of Texas at Dallas Richardson TX USA Office of Research and Innovation The University of Texas at Dallas Richardson TX USA Department of Chemical Engineering University of Florida Gainesville FL USA J. Crayton Pruitt Family Department of Biomedical Engineering University of Florida Gainesville FL USA

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Recently, there has been a growing interest in ruthenium oxide (RuOx) as an alternative mixed-conductor oxide to SIROF as an electrode coating. RuOx is recognized as a faradic charge-injection coating with high CSCc, long-term pulsing stability, and low impedance. We examined how the structural properties of sputter-deposited RuOx influence its electrochemical performance as an electrode coating for neural stimulation and recording. Thin film RuOx was deposited under various pressures: 5 mTorr, 15 mTorr, 30 mTorr, and 60 mTorr on wafer-based planar test structures. Electrochemical characterizations, including electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and voltage transient (VT), were employed. The structure of RuOx films was characterized by scanning electron microscope (SEM). Our findings revealed that the sputtering pressure significantly influences the growth of the RuOx film, subsequently affecting its electrochemical performance. The results indicate that the electrochemical performance of RuOx can be optimized by adjusting the deposition conditions to achieve a favorable balance between electronic and ionic *** Relevance— This research underscores the potential for optimizing the structural properties of RuOx to enhance its electrochemical capabilities for neural stimulation and recording.

关键词： Electrodes Scanning electron microscopy Ruthenium Films Voltage Recording Coatings Impedance Transient analysis Sputtering

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Cylindrical-Lens-Embedded Photonic Crystal Based on Self-Collimation 5

Cylindrical-Lens-Embedded Photonic Crystal Based on Self-Col...

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5th IEEE Research and Applications of Photonics in Defense Conference, RAPID 2022

作者： Xia, Chun Gutierrez, Jesus J. Kuebler, Stephen M. Rumpf, Raymond C. Touma, Jimmy University of Central Florida The College of Optics and Photonics Creol OrlandoFL32816 United States University of Texas at El Paso Em Lab Department of Electrical and Computer Engineering El PasoTX79968 United States Materials Science and Engineering University of Central Florida Creol The College of Optics and Photonics Chemistry Department OrlandoFL32816 United States Computational Science Program University of Texas at El Paso Em Lab Department of Electrical and Computer Engineering El PasoTX79968 United States Eglin Afb AFRL/Munitions Directorate Integrated Sensing and Processing Branch FL32542 United States

Independent optical power and phase control is experimentally demonstrated in a self-collimating PC based on rod-into-wall unit cell and fabricated in a low-refractive-index medium by multiphoton lithography. © 2... 详细信息

ISBN: (数字)9781665402231

ISBN: (纸本)9781665402231

关键词： Refractive index

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IoT–based tire pressure monitoring system for air and temperature pressure using MPX5500D and LM35 sensor

IoT–based tire pressure monitoring system for air and tempe...

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International Conference on Computing, engineering, and Design (ICCED)

作者： Agung Pangestu Iing Sodikin Muhammad Yusro Rum Sapundani Rosyid Ridlo Al Hakim Sinka Wilyanti Electrical Engineering Department Faculty of Engineering and Computer Science Jakarta Global University Depok Indonesia Department of Electronic Engineering Faculty of Engineering State University of Jakarta Jakarta Indonesia Electromedical Engineering Technology Faculty of Health Science University of Muhammadiyah Purwokerto Purwokerto Indonesia Graduate Program in Electrical Engineering Faculty of Engineering and Computer Science Jakarta Global University Depok Indonesia

ISBN: (纸本)9781665453905

Research has been carried out to monitor vehicle tires before they are used and can reduce damage, including overcoming vehicle fuel waste because air pressure is continuously monitored. This research aims to utilize the MPX5500DP sensor as an air pressure device, the LM35 sensor as a temperature reader, and a buzzer based on IoT to build a tire pressure monitoring system (TPMS). The MPX5500DP and LM35 sensor inputs to the Arduino Uno microcontroller are distributed by the NodeMCU, fitted with a Wi-Fi module. The Blynk application sends and displays the data on a smartphone using the IoT-based. Based on this research, data on the percentage of errors in monitoring air pressure and tire temperature on vehicles were obtained by comparing the data to the pressure gauge and thermometer: 1—the results of the average reading of the sensor error value. MPX5500DP air pressure against pressure gauge is 5.3%. 2—the average reading of the LM35 sensor error value on the temperature thermometer is 6.8%. With this research, the air pressure and temperature in the tires can be monitored in real-time via a smartphone using the IoT-based.

关键词： Temperature measurement Temperature distribution Thermometers Microcontrollers Tire pressure Real-time systems Pressure gauges

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In vivo Detection of NO using Photonic Microring Resonators

In vivo Detection of NO using Photonic Microring Resonators

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Conference on Lasers and Electro-Optics (CLEO)

作者： Sakib Hassan Xuan Zhao Christian C. Schreib Guillaume Duret Omid Veiseh Jacob T. Robinson Electrical & Computer Engineering Rice University Houston USA Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston USA Department of Bioengineering Rice University Houston USA

Here we show how photonic microring resonators enable real-time detection of Nitric Oxide (NO) in vivo, which is critical for physiological monitoring particularly during the wound healing process.

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

Here we show how photonic microring resonators enable real-time detection of Nitric Oxide (NO) in vivo, which is critical for physiological monitoring particularly during the wound healing process.

关键词： Integrated optics In vivo Optical resonators Wounds Laser modes Lab-on-a-chip Real-time systems

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Tunable Source of Quantum-Correlated Photons with Integrated Pump Rejection in a Silicon CMOS Platform

Tunable Source of Quantum-Correlated Photons with Integrated...

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Frontiers in Optics + Laser science 2021, FiO+LS 2021 - Part of Frontiers in Optics, FiO 2021

作者： Fargas Cabanillas, Josep M. Kramnik, Danielius Ramesh, Anirudh Gentry, Cale M. Stojanović, Vladimir Kumar, Prem Popović, Miloš A. Department of Electrical and Computer Engineering Photonics Center Boston University BostonMA02215 United States Department of Electrical Engineering and Computer Science UC Berkeley BerkeleyCA94720 United States Graduate Program in Applied Physics Northwestern University EvanstonIL60208 United States Department of Electrical Computer and Energy Engineering University of Colorado BoulderCO80309 United States Center for Photonic Communication and Computing Dept. of Electrical and Computer Eng. Northwestern University EvanstonIL60208 United States

ISBN: (纸本)9781557528209

A wavelength-tunable, silicon photon-pair source based on spontaneous four-wave mixing, integrated with a pump rejection filter in a single, flip-chip packaged CMOS chip, is demonstrated with a coincidence-to-accidentals ratio of 9.1 with no off-chip pump filtering. Frontiers in Optics / Laser science © Optica Publishing Group 2021.

关键词： CMOS integrated circuits

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Optimizing Photovoltaic Power Production in Partial Shading Conditions Using Dandelion Optimizer (DO)-Based MPPT Method

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Processes 2023年第8期11卷

作者： Sajid, Injila Gautam, Ayushi Sarwar, Adil Tariq, Mohd Liu, Hwa-Dong Ahmad, Shafiq Lin, Chang-Hua Sayed, Abdelaty Edrees Department of Electrical Engineering ZHCET Aligarh Muslim University Aligarh202002 India Department of Electrical and Computer Engineering Florida International University MiamiFL33174 United States Undergraduate Program of Vehicle and Energy Engineering National Taiwan Normal University Taipei106 Taiwan Industrial Engineering Department College of Engineering King Saud University Riyadh11421 Saudi Arabia Department of Electrical Engineering National Taiwan University of Science and Technology Taipei106 Taiwan

This research proposes the dandelion optimizer (DO), a bioinspired stochastic optimization technique, as a solution for achieving maximum power point tracking (MPPT) in photovoltaic (PV) arrays under partial shading (PS) conditions. In such scenarios, the overall power output of the PV array is adversely affected, with shaded cells generating less power and consuming power themselves, resulting in reduced efficiency and local hotspots. While bypass diodes can be employed to mitigate these effects by redirecting current around shaded cells, they may cause multiple peaks, making MPPT challenging. Therefore, metaheuristic algorithms are suggested to effectively optimize power output and handle multiple peaks. The DO algorithm draws inspiration from the long-distance movement of a dandelion seed, which relies on the force of the wind. By utilizing this bioinspired approach, the DO algorithm can successfully capture the maximum power point (MPP) under different partial shading scenarios, where traditional MPPT algorithms often struggle. An essential contribution of this research lies in the examination of the performance of the proposed algorithm through simulation and real-time hardware-in-the-loop (HIL) results. Comparing the DO algorithm with the state-of-the-art algorithms, including particle swarm optimization (PSO) and cuckoo search (CS), the DO algorithm outperforms them in terms of power tracking efficiency, tracking duration, and the maximum power tracked. Based on the real-time HIL results, the DO algorithm achieves the highest average efficiency at 99.60%, surpassing CS at 96.46% and PSO at 94.74%. These findings demonstrate the effectiveness of the DO algorithm in enhancing the performance of MPPT in PV arrays, particularly in challenging partial shading conditions. © 2023 by the authors.

关键词： Efficiency

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Employing Total Ionizing Dose Effect in PN-Junction Photodetectors Implemented in Standard CMOS Technology for Dosimetry Application

Employing Total Ionizing Dose Effect in PN-Junction Photodet...

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2021 IEEE Nuclear science Symposium and Medical Imaging Conference, NSS/MIC 2021

作者： Khalili, Razieh Pil-Ali, Abdollah Adnani, Sahar Karami, Mohammad Azim University of Guilan Faculty of Sciences Rasht Iran Department of Electrical and Computer Engineering Centre for Bioengineering and Biotechnology University of Waterloo 200 University Ave W WaterlooONN2L3G1 Canada School of Electrical Engineering Iran University of Science and Technology Tehran Iran

ISBN: (纸本)9781665421133

Radiation effects on electronic devices are usually considered as a significant source of degradation to the point where they can cause device failure. The effect of total ionizing dose, which is a permanent effect, affects the performance of electronic devices by changing their current or voltage characteristics. In photodetectors specifically, increasing the effect of total ionizing dose leads to higher dark currents. Although this negative radiation effect is avoided in designing, there are applications that potentially benefit from it. Radiation dosimetry is one of many applications in which the effect of radiation on devices is used for monitoring purposes. In this work, we present the feasibility of utilizing the total ionizing dose effect for radiation dosimetry. A PN-junction based photodetector implemented in 180 nm standard complementary-metal-oxide-semiconductor technology is simulated in Silvaco TCAD, and its dark current under different gamma-ray radiation up to 1 Mrad is studied. Oxide-trapped charges and interface states formed by the total ionizing dose effect induce more dark current, which is tabulated for different gamma-ray radiation doses up to 1 Mrad. A transimpedance amplifier - a picoammeter circuit - is integrated with the photodetector to monitor and measure different levels of radiation to demonstrate the conceptual design of the proposed dosimeter. © 2021 IEEE.

关键词： Metals

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Psychological Stress Classification Using Extreme Gradient Boosting Algorithm

Psychological Stress Classification Using Extreme Gradient B...

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International Conference on Information and Communication Technology Convergence (ICTC)

作者： Maria Mahardini Sakanti Viacheslav Siniaev Aurelia Amaris Win-Jet Luo Suhartono C. Bambang Dwi Kuncoro Graduate Institute of Precision Manufacturing National Chin-Yi University of Technology Taichung Taichung Taiwan Institute of Applied Computer Science ITMO University St. Petersburg Russian Federation Department of Informatics Engineering Faculty of Computer Science Universitas Brawijaya Malang Indonesia Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taichung Taiwan Department of Refrigeration Air Conditioning and Energy Engineering National Chin-Yi University of Technology Taichung Taiwan

ISBN: (数字)9798350364637

ISBN: (纸本)9798350364644

Stress, as a reaction to threatening situations, can raise heart rate and result in serious conditions that might cause significant damage or even be life-threatening. Traditional methods for evaluating stress, which rely on subjective self-reporting and clinical assessments, often suffer from biases and inconsistencies. Artificial intelligence models have been explored to predict stress levels more accurately. This paper investigates the application of Extreme Gradient Boosting in classifying psychological stress using the WESAD dataset, which includes parameters such as acceleration, electrocardiogram, electromyography, electrodermal activity, temperature, and respiration. The dataset was balanced and sampled to create a manageable subset for experimental. Extreme Gradient Boosting was chosen for its efficiency and scalability in handling complex datasets. The model was trained and validated, achieving a 95% accuracy in predicting stress levels. This study highlights the potential of integrating Extreme Gradient Boosting models into wearable devices for real-time stress monitoring. Future work involves optimizing the model to utilize fewer sensors without decreasing accuracy, ensuring it can be integrated into portable/wearable systems using tiny microcontrollers.

关键词： Accuracy Microcontrollers Psychology Human factors Predictive models Boosting Prediction algorithms Real-time systems Sensors Wearable devices

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Interferometry Among Strongly Driven Quasiparticles with Distinct Dynamical and Geometrical Phases

Interferometry Among Strongly Driven Quasiparticles with Dis...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Seamus O'Hara Joe Costello Qi Tian Qile Wu Ken West Loren Pfeiffer Mark Sherwin Liang Wu Department of Physics and Institute of Terahertz Science and Technology University of California Santa Barbara Santa Barbara CA Intelligence Community Post-Doctoral Research Fellowship Program Philadelphia PA Department of Physics University of Pennsylvania Philadelphia PA Department of Electrical and Computer Engineering Princeton University Princeton NJ

ISBN: (纸本)9798350369311

In this proceeding, we present polarization data of sidebands emitted from strongly driven quasiparticles, demonstrate the dependence of these data on various parameters of the external driving field, and describe the data using an analytical expression, dependent on driving field parameters and the effective Hamiltonian of the system. We propose using this method on spin-momentum locked systems, such as altermagnets, to observe and reconstruct sidebands which are influenced by the topology of individual bands.

关键词： Electro-optic effects Amplitude modulation Topology Interferometry

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Inventing the Potential of a High-Frequency EEG, Namely Dodecanogram (DDG): Human Subjects’ Study 5th

Inventing the Potential of a High-Frequency EEG, Namely Dode...

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5th International Conference on Trends in Computational and Cognitive engineering, TCCE 2023

作者： Singh, Pushpendra Sarkar, Jhimli Dey, Parama Sarkar, Sounak Pattanaya, Anindya Nag, Sudipa Pramanik, Sudeshna Sahoo, Pathik Saxena, Komal Krishnanda, Soami Daya Dutta, Tanusree Ghosh, Subrata Bandyopadhyay, Anirban NIMS 1-2-1 Sengen Ibaraki Tsukuba3050047 Japan Department Electronics and Electrical Communication Engineering IIT Kharagpur West Bengal Kharagpur721302 India Department of Biosciences and Bioengineering Indian Institute of Technology Guwahati Assam781039 India Organizational Behavior and Human Resource Management Indian Institute of Management Ranchi834008 India Amity School of Applied Science Amity University Rajasthan Kant Kalwar NH-11C Jaipur Delhi Highway Rajasthan Jaipur303007 India Microwave Physics Laboratory Department of Physics and Computer Science Dayalbag Educational Institute Uttar Pradesh Agra282005 India Chemical Science and Technology Division CSIR-North East Institute of Science and Technology NEIST Assam Jorhat785006 India Uttar Pradesh Ghaziabad201002 India

ISBN: (纸本)9789819719228

The conventional EEG machine measures brain signal frequencies between 1 and 300 Hz on the scalp. By utilizing Fourier transform (FFT), it generates a 2D frequency profile. Our innovative EEG, known as Dodecanogram (DDG), operates in two modes. In the first mode, it detects a wide range of frequencies from 6 THz to 1 milliHz, creating a brain scan based on resonance. In the second mode, it uses picosecond pulses to capture potential surges, measuring their duration, intensity, and phase variation, revealing brain activity patterns. Both modes work simultaneously in the DDG device. To minimize environmental interference, we use interconnected DDG devices on eight human brains. The detected results from DDG show that DDG is a fundamental technology for understanding various mental states. Potential applications include neuro-disease diagnosis and exploring treatments involving electrical and electromagnetic pulses. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electromagnetic pulse

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