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2023 IEEE Texas Power and Energy Conference, TPEC 2023

作者： Mahdavi, Meisam Schmitt, Konrad Bayne, Stephen Chamana, Manohar University of Jaén Department of Electrical Engineering Jaén Linares Spain Texas Tech University Electrical and Computer Engineering Department LubbockTX United States Texas Tech University Renewable Energy Program LubbockTX United States

ISBN: (纸本)9781665490719

Operational costs are affected by energy losses of distribution systems, in which these losses are higher than those of the transmission system. The placement of distributed generation (DG) units in power distribution networks is an efficient way of energy loss reduction. Today, DG penetration in distribution systems is increasing because of the great effect of renewable energy resources on environmental sustainability. Power demand variations have an essential role in the determination of energy losses amount and optimal generation of DGs. Besides, considering the variability of load level in the DG allocation problem raises the burden and computational time substantially. Therefore, this paper proposes an effective DG allocation strategy for energy loss minimization in the presence of variable power demand. The evaluation of numerical results indicates the desired performance of the presented framework for the optimal placement of DG units in distribution systems with time-varying loads. © 2023 IEEE.

关键词： Energy dissipation

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A MICRO-ANALYTICAL PLATFORM COMBINING TUMOR TREATING FIELDS AND INTEGRATED CAPACITANCE SENSING 26

A MICRO-ANALYTICAL PLATFORM COMBINING TUMOR TREATING FIELDS ...

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26th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2022

作者： Gilpin, Yann Dandin, Marc Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh United States Department of Biomedical Engineering Carnegie Mellon University Pittsburgh United States

ISBN: (纸本)9781733419048

Tumor treating fields (TTFs) are a novel electric field-based cancer treatment modality for solid tumors. On the other hand, integrated capacitance sensing is a lab-on-a-chip technology that provides quantitative measurements of cell growth in vitro. In this brief, we present a novel micro-analytical platform for assessing the efficacy of tumor treating fields using integrated capacitance sensing. Our approach features a microsystem that includes miniaturized tumor treating field electrodes, a culture well, and a CMOS capacitance sensor. We show that this microsystem can track TTF anti-cancer effects in real time. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Cell proliferation

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On-Demand Collaborative Sensing with Digital Twin-Driven Resource Allocation 100

On-Demand Collaborative Sensing with Digital Twin-Driven Res...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Li, Mushu Gao, Jie Zhou, Conghao Zhao, Lian Shen, Xuemin Lehigh University Department of Computer Science and Engineering BethlehemPA18015 United States Carleton University School of Information Technology OttawaONK1S 5B6 Canada University of Waterloo Department of Electrical and Computer Engineering WaterlooONN2L 3G1 Canada Toronto Metropolitan University Department of Electrical Computer & Biomedical Engineering TorontoM5B 2K3 Canada

ISBN: (纸本)9798331517786

This paper introduces a real-time collaborative sensing scheme for wireless sensor networks in time-varying environments. The objective is to maximize the sensors' performance by effectively allocating communication resources for data sharing. Specifically, we utilize digital twins (DTs) to characterize dynamic collaborative sensing demands for each sensor through data-driven methods. Building on the DT design, we propose a resource allocation scheme to optimize the communication resources allocated at each stage of collaborative sensing and determine the most effective collaborative sensing policy. By profiling sensors using DTs, the network controller can effectively coordinate the sensors without exhaustively exploring all collaborative sensing policies. Numerical results demonstrate the effectiveness of our proposed scheme in optimizing the sensing performance for all sensors. © 2024 IEEE.

关键词： Genetic algorithms

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Reconfiguration of Power Distribution Systems in the Presence of Voltage-Dependent Loads

Reconfiguration of Power Distribution Systems in the Presenc...

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2023 IEEE Texas Power and Energy Conference, TPEC 2023

ISBN: (纸本)9781665490719

Load power can be changed by voltage fluctuation of network buses, in which reconfiguring the topology of distribution systems impacts the magnitude of bus voltages. Only a few papers have considered voltage-dependent loads in their reconfiguration models but introduced nonlinear formulations or highly approximated linear approaches. While nonlinear models can be solved by metaheuristic algorithms without guaranteeing the optimality of solutions or may be implemented by commercial nonlinear solvers, they require intensive and time-consuming computations. Moreover, linearized models are highly approximated by piecewise linear functions with many unknown parameters. Thus, this paper presents the effective design of the reconfiguration problems, including voltage dependency of loads, which can be solved using commercial linear solvers. The proposed models are precise enough to find accurate results for the reconfiguration problem and are adequately fast to converge to optimal solutions. The results show that the proposed solutions not only reduce active power losses significantly but increase the minimum voltage of the system effectively. © 2023 IEEE.

关键词： Power quality

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Sustainable Energy Evolution Using IoT-Enhanced Carbon Capture and Storage for Oil Recovery 6

Sustainable Energy Evolution Using IoT-Enhanced Carbon Captu...

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6th International Conference on Energy, Power and Environment, ICEPE 2024

作者： Valli, K. Vijaya Naga Swathi, G. Lumina Julie, R. Saravanan, S. Sujatha, S. Malarvizhi, E. Srkr Engineering College Department of Computer Science and Engineering Andhra Pradesh Bhimavaram India Cmr Technical Campus Department of Computer Science and Engineering Telangana Hyderabad India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Management Studies Tamil Nadu Chennai India Muthayammal Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Namakkal India Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Biomedical Engineering Tamil Nadu Chennai India St. Joseph's College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350379297

The global energy environment is shifting toward sustainability and carbon neutrality. Internet of Things (IoT) technology with Carbon Capture and Storage (CCS) in Enhanced Oil Recovery (EOR) may reduce carbon emissions and optimize hydrocarbon recovery. This paper examines IoT-enabled CCS for EOR and carbon-neutral oil and gas operations. Real-time data capture and analysis using IoT technologies optimize CCS operations. Installing IoT sensors and devices across the EOR and CCS infrastructure lets operators monitor CO2 injection rates, reservoir pressure, temperature, and fluid composition. The CCS process is precisely controlled using data, improving carbon capture efficiency and lowering operating costs. Remote monitoring and management of carbon storage sites using IoT in CCS for EOR improves environmental sustainability. The collected CO2 is securely and efficiently contained, reducing leakage and environmental effects. Preventing CCS infrastructure problems with IoT-driven predictive maintenance ensures long-term operational dependability. Securely storing collected CO2 offsets oil and gas emissions and contributes to carbon neutrality. EOR process optimization with IoT technologies may boost hydrocarbon recovery, making the switch to greener energy sources easier. IoT-enabled CCS for EOR has the potential to produce carbon-neutral oil and gas operations. The system improves CCS efficiency and sustainability using real-time data, remote monitoring, and predictive maintenance. Integration of IoT with CCS reduces carbon emissions and promotes the industry's worldwide sustainability objectives. © 2024 IEEE.

关键词： Carbon capture and utilization

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Assessing power profile characteristics in solar PV-storage integrated electricity markets: A quantitative study

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e-Prime - Advances in electrical engineering, Electronics and Energy 2024年 9卷

作者： Mishan, Ramkrishna Fu, Xingang Hingu, Chanakya Fajri, Poria Egan, Matthew S. Ben-Idris, Mohammed Department of Electrical and Biomedical Engineering University of Nevada Department of Electrical and Computer Engineering Michigan State University

Integrating solar PV inverters and storage devices into the modern power grid generates multiple power profiles with varying magnitudes. The intermittent nature of PV necessitates installing storage devices to reduce unit commitment challenges and accommodate reserve power. This paper proposes various operational factors to determine the boundaries for individual and aggregated power profiles within a cluster of PV systems and storage units. The study utilizes dispatchability and operating reserve factors (primary and secondary) during storage discharge mode to extract dispatchable power and primary and secondary reserve power. Similarly, storage arbitrage and non-dispatchability factors extract arbitrage, non-dispatchable, and a portion of supplemental or tertiary reserve power during storage charging mode. An optimization model leveraging mixed-integer linear programming is formulated to minimize operational expenditures considering these hybrid PV-storage power profiles. Extrapolated electricity market rates for hybrid power profiles are projected using the prevailing prices of photovoltaic (PV) systems and storage technologies. This paper utilizes the proposed aggregated operational factors as constraints while extracting these power profiles for a cluster of PV-storages. The efficacy of the proposed optimization framework is tested on a modified IEEE 34-bus system by adding 10 PV-storage devices on 10 buses. The final quantitative values correspond to the percent penetration and arbitrage of these power profiles. © 2024

关键词： Arbitrage Dispatch Distributed energy resources Electricity market Non-dispatch Reserves Unit commitment

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Exploratory tNIRS Assessment of Cortical Activation during a Novel Virtual Reality Object Orientation Memory Task 11

Exploratory tNIRS Assessment of Cortical Activation during a...

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11th International IEEE/EMBS Conference on Neural engineering, NER 2023

作者： McIntyre, J. McLinden, J. Borgheai, S.B. Shahriari, Y. University of Rhode Island Department of Electrical Computer & Biomedical Engineering KingstonRI02881 United States Emory University Department of Neurology AtlantaGA30322 United States

ISBN: (纸本)9781665462921

Decoding neural signatures of visuo-spatial functions can play an important role in guiding human-computer interactions (HCI). Virtual reality (VR) enhances these interactions and offers a new tool for exploring visuo-spatial functions. Studies have shown that cortical areas involving visuo-spatial functions are heavily coordinated with those involving motor activities. As VR gains popularity and practicality, individuals with mobility impairments may begin to rely on it for activities including social interactions, cognitive and physical training. It is important to measure and monitor brain activation evoked during these VR activities to properly guide the HCI technologies. In this work, we introduce a novel VR task which evokes both visuo-spatial working memory (VSWM) and motor hemodynamic responses in the brain. The proposed paradigm is an object orientation memory task that requires some degree of motor activity. The task involves memorizing the orientation of a 3D object, and then recalling and recreating that orientation from a rotated version of that 3D object using a handheld controller. Functional near-infrared spectroscopy (fNIRS) was recorded from seven participants out of whom two were excluded due to substantial motion artifacts and poor optode connections. We performed a generalized linear model (GLM) analysis in which we used a subject specific hemodynamic response function (HRF) to quantify the activations during the proposed task. Our results demonstrated that superior frontal gyrus (SFG) is the most activated during the proposed task and that the activity is consistently lateral across subjects. These findings can contribute to guiding the advent of VR furthering the understanding of visuo-spatial and motor interactions in HCI. © 2023 IEEE.

关键词： Virtual reality

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Non-paraxial multiple scattering model for intensity diffraction tomography

Non-paraxial multiple scattering model for intensity diffrac...

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Frontiers in Optics, FiO 2022

作者： Zhu, Jiabei Wang, Hao Tian, Lei Department of Electrical and Computer Engineering Boston University MA02215 United States Department of Biomedical Engineering Boston University MA02215 United States

We propose a novel intensity diffraction tomography reconstruction algorithm based on the split-step non-paraxial model for recovering the 3D refractive index distribution of multiple-scattering biological samples. &#...

ISBN: (纸本)9781557528209

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Using a Novel Algorithm in Ultrasound Images to Detect Renal Stones 12th

Using a Novel Algorithm in Ultrasound Images to Detect Renal...

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12th National Technical Seminar on Unmanned System Technology, NUSYS 2020

作者： Eskandari, Sania Meshgini, Saeed Farzamnia, Ali Department of Biomedical Engineering Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Faculty of Engineering Universiti Malaysia Sabah Kota Kinabalu Sabah Malaysia

ISBN: (纸本)9789811624056

Medical ultrasound is utilized as the primary method for the detection of kidney stones. Ultrasound imaging is often more popular than other imaging techniques because it is portable, low-cost, non-invasive, and does not utilize ionizing radiations. In this paper, three essential segmentation algorithms, namely Fuzzy C-means, K-means, and Expectation–Maximization algorithms, are proposed for the identification of renal stone in kidney ultrasound images. Expectation–Maximization algorithm is a novel method used by us for the first time for identifying renal stones. Initially, ultrasound kidney image is pre-processed. The pre-processing of ultrasound images comprises of denoising utilizing wavelet thresholding technique. The pre-processed image is taken as input for the segmentation process. Fuzzy C-means, K-means, and Expectation–Maximization algorithms are used to segment the renal calculi from the kidney ultrasound image;further region parameters are extracted from the segmented region. According to our results, K-means algorithm has the average accuracy, precision, and sensitivity equal to 99.82%, 92.83%, and 48.44%, respectively, and the average computation time is 4.31 s. As for the Fuzzy C-means algorithm, we report those values: 99.87, 80.59, 53.17%, and the average computation time is 346.29 s. Finally, for the proposed Expectation–Maximization algorithm, the values are 99.96, 82.38, and 84.52%, with the average computation time equal to 58.02 s. Fuzzy C-means produce better results than K-means segmentation, but it requires more computation time than K-means segmentation. Our proposed method has much better results than the other two methods and can find the renal stones in less than a minute. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Ionizing radiation

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Theoretical basis and experimental validation of harmonic coherence-based ultrasound imaging for breast mass diagnosis

Theoretical basis and experimental validation of harmonic co...

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Medical Imaging 2023: Physics of Medical Imaging

作者： Kokumo, Khadijat Sharma, Arunima Myers, Kelly Ambinder, Emily Oluyemi, Eniola Lediju Bell, Muyinatu A. Department of Biomedical Engineering Northwestern University EvanstonIL United States Department of Electrical and Computer Engineering Johns Hopkins University BaltimoreMD United States Department of Radiology and Radiological Science Johns Hopkins Medicine BaltimoreMD United States Department of Computer Science Johns Hopkins University BaltimoreMD United States Department of Biomedical Engineering Johns Hopkins University BaltimoreMD United States

ISBN: (纸本)9781510660311

Coherence-based ultrasound imaging has demonstrated potential to improve breast mass diagnosis by distinguishing solid from fluid-filled masses. Harmonic imaging, which is known to reduce acoustic clutter, has the potential to offer additional improvements. However, the lack of a theoretical basis to describe these improvements precludes clinical recommendations based on physics and engineering principles. This work is the first to develop a theoretical model of coherence-based ultrasound imaging to describe both solid vs. fluid mass distinction and the effects of harmonic short-lag spatial coherence (SLSC) imaging. The scattering function and the transmit ultrasound beam of the van Cittert-Zernike theorem applied to ultrasound imaging were redefined to generate the theoretical model for solid vs. fluid mass distinction and for harmonic imaging, respectively. The derived theory was used to compare fundamental and harmonic SLSC images for hypoechoic solid, hypoechoic fluid, hyperechoic, and point targets. Theoretical simulations showed improved resolution, mitigated dark-region artifacts around hyperechoic targets, and increased spatial coherence of fluid masses in harmonic SLSC images when compared to fundamental SLSC images. Experimental data from tissue-mimicking phantoms and in vivo breast ultrasound images agreed with theoretical results. In particular, when compared to fundamental SLSC imaging, harmonic SLSC imaging improved resolution by 0.19 ± 0.25 mm, mitigated dark region artifacts by 0.55 ± 0.54 mm, and increased the spatial coherence of fluid-filled masses, resulting in a 6.50 ± 4.28 dB decrease in contrast. Results will enable future clinical recommendations supporting the use of fundamental or harmonic SLSC imaging for analyses of fluid or solid masses, respectively. These contributions establish a theoretical foundation to combine fundamental and harmonic coherence-based imaging with harmonic B-mode imaging to improve the accuracy of breast mass diagno

关键词： Ultrasonic imaging

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