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Bi-level optimization for electricity transaction in smart community with modular pump hydro storage

Bi-level optimization for electricity transaction in smart c...

ASME 2020 International Design engineering Technical Conferences and computers and Information in engineering Conference, IDETC-CIE 2020

作者： Chen, Yang Kou, Xiao Olama, Mohammed Zandi, Helia Liu, Chenang Kassaee, Saiid Smith, Brennan T. Abu-Heiba, Ahmad Momen, Ayyoub M. Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge United States Department of Electrical Engineering and Computer Science University of Tennessee Knoxville United States Computational Sciences and Engineering Division Oak Ridge National Laboratory Oak Ridge United States School of Industrial Engineering and Management Oklahoma State University Stillwater United States Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville United States Energy and Transportation Science Division Oak Ridge National Laboratory Oak Ridge United States

ISBN: (纸本)9780791883952

Grid integration of the increasing distributed energy resources could be challenging in terms of new infrastructure investment, power grid stability, etc. To resolve more renewables locally and reduce the need for extensive electricity transmission, a community energy transaction market is assumed with market operator as the leader whose responsibility is to generate local energy prices and clear the energy transaction payment among the prosumers (followers). The leader and multi-followers have competitive objectives of revenue maximization and operational cost minimization. This non-cooperative leader-follower (Stackelberg) game is formulated using a bi-level optimization framework, where a novel modular pump hydro storage technology (GLIDES system) is set as an upper level market operator, and the lower level prosumers are nearby commercial buildings. The best responses of the lower level model could be derived by necessary optimality conditions, and thus the bi-level model could be transformed into single level optimization model via replac ing the lower level model by its Karush-Kuhn-Tucker (KKT) necessary conditions. Several experiments have been designed to compare the local energy transaction behavior and profit distribution with the different demand response levels and different local price structures. The experimental results indicate that the lower level prosumers could benefit the most when local buying and selling prices are equal, while maximum revenue potential for the upper level agent could be reached with non-equal trading prices. © 2020 American Society of Mechanical Engineers (ASME). All rights reserved.

关键词： Investments

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Erratum to “Hold-Up Time Compensation Circuit of Half-Bridge LLC Resonant Converter for High Light-Load Efficiency” [Dec 2020 13126-13135]

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IEEE Transactions on Power Electronics 2021年第2期36卷 2446-2446页

作者： Yeonho Jeong Min-Su Lee Jae-Do Park Jae-Kuk Kim Ronald A. L. Rorrer Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston USA

Presents corrections to the above named paper.

关键词： Switching converters Bridge converters RLC circuits Resonant converters

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Strategic Attention Learning for Modality Translation

Strategic Attention Learning for Modality Translation

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Jonathan Martinez Ali Akbari Kaan Sel Roozbeh Jafari Departments of Computer Science and Engineering Texas A&M University College Station TX USA Biomedical Engineering Texas A&M University College Station TX USA Electrical and Computer Engineering Texas A&M University College Station TX USA

ISBN: (数字)9781509066315

ISBN: (纸本)9781509066322

Novel wearable sensor modalities, such as bio-impedance (Bio-Z), are being introduced and often provide various advantages over current state-of-the-art in terms of accuracy, sensing coverage, or convenience of wear. The principal challenge, however, lies in the ability to interpret the sensor reading by healthcare providers. In this work, we propose a two-stage deep learning framework that leverages a novel attention mechanism to translate Bio-Z signals to highly interpretable electrocardiogram (ECG) waveforms while also predicting translation uncertainty. Our experiments indicate a 66% improvement in accuracy for 1D-CNN based models to perform competitively with more sophisticated hybrid CNN-LSTM based models in a fraction of the training time while also providing a valid uncertainty measurement.

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Patients with obstructive sleep apnea are at great risk of flavor disorders: a 15-year population-based cohort study

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Clinical Oral Investigations 2023年第1期27卷 183-192页

作者： Huang, Hsin-Hsin Ma, Kevin Sheng-Kai Wu, Min-You Hung, Yao-Min Tsao, Chien-Han Wei, James Cheng-Chung Wen, Wei-Sheng Wang, Yu-Hsun Hung, Shih-Yen Chao, Max Min Center for Global Health Perelman School of Medicine University of Pennsylvania Philadelphia PA United States Department of Epidemiology Harvard T.H. Chan School of Public Health Boston MA United States Graduate Institute of Biomedical Electronics and Bioinformatics College of Electrical Engineering & Computer Science National Taiwan University Taipei Taiwan Institute of Medicine Chung Shan Medical University Taichung Taiwan Department of Emergency Medicine Kaohsiung Veterans General Hospital Kaohsiung Taiwan School of Medicine National Yang Ming University Taipei Taiwan Department of Otolaryngology Chung Shan Medical University Hospital Taichung Taiwan School of Medicine Chung Shan Medical University Taichung Taiwan Division of Allergy Immunology and Rheumatology Chung Shan Medical University Hospital Taichung Taiwan Graduate Institute of Integrated Medicine China Medical University Taichung Taiwan Department of Medical Research Chung Shan Medical University Hospital Taichung Taiwan Chi-Mei Medical Center Tainan Taiwan

Objective: Obstructive sleep apnea (OSA) results from upper airway remodeling, which has been suggested to alter sensory and motor neuron function due to hypoxia or snore vibration. This study investigated whether OSA was associated with the risk of flavor disorder (FD). Materials and methods: Seven thousand and eight hundred sixty-five patients with OSA and 7865 propensity score-matched controls without OSA were enrolled between 1999 and 2013 through a nationwide cohort study. The propensity score matching was based on age, sex, comorbidities including hypertension, hyperlipidemia, chronic obstructive pulmonary disease (COPD), asthma, ankylosing spondylitis, and Charlson comorbidity index, and co-medications during the study period, including statins and angiotensin-converting enzyme (ACE) inhibitors. The adjusted hazard ratio (aHR) of incident FD following OSA was derived using a Cox proportional hazard model. A log-rank test was used to evaluate the time-dependent effect of OSA on FD. Age, sex, comorbidities, and co-medications were stratified to identify subgroups susceptible to OSA-associated FD. Results: Patients with OSA were at a significantly great risk of FD (aHR = 1.91, 95% CI = 1.08–3.38), which was time-dependent (log-rank test p = 0.013). Likewise, patients with hyperlipidemia were at a significant great risk of FD (aHR = 2.99, 95% CI = 1.33–6.69). Subgroup analysis revealed that female patients with OSA were at higher risks of FD (aHR = 2.39, 95%CI = 1.05–5.47). Conclusions: Patients with OSA were at significantly great risk of incident FD during the 15-year follow-up period, especially in female patients with OSA. Clinical relevance: Timely interventions for OSA may prevent OSA-associated FD. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Flavor disorder Obstructive sleep apnea Population-based cohort study Smell disorder Taste disorder

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Certification of component-based particle therapy software 11

Certification of component-based particle therapy software

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11th International Conference on e-Health 2019, EH 2019

作者： Afonso, Carlos F. Casalegno, Luigi Larizza, Cristiana Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Lombardy Italy Centro Nazionale di Adroterapia Oncologica Pavia Lombardy Italy

ISBN: (纸本)9789898533890

The operation of particle therapy facilities requires complex control systems, often spanning several software development environments, each containing large number of applications. While the component-based development approach brings many benefits, institutions often struggle integrating it during the certification process. As part of the technological update of one of its control system environments, the Centro Nazionale di Adroterapia Oncologica (CNAO) treatment center chose to develop the software applications of this environment in a component-based approach, while focusing on strategies to also optimize the certification process. In this document, we examine the challenges of compositional development in the medical software certification process. Additionally, the approach taken by CNAO during the update of one of its control system's environments is presented, along with the evaluation of the expected impact on its certification as medical software. © Copyright 2019 IADIS Press All rights reserved.

关键词： Software design

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Three-antennas FMCW Radar for Self-consistent Snowpack Monitoring 13

Three-antennas FMCW Radar for Self-consistent Snowpack Monit...

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13th European Conference on Antennas and Propagation, EuCAP 2019

作者： Pasian, M. Espin-Lopez, P.F. Barbolini, M. Dellracqua, F. Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Flow-Ing S.r.l. La Spezia Italy

ISBN: (纸本)9788890701887

Microwave radars have the potential to monitor the internal structure of the snowpack, delivering real-time and non-destructive measurements. Recently, an innovative radar architecture able to identify some of the most important snowpack parameters without external aids has been demonstrated. A key point of this new architecture is the use of two independent receiving antennas, and one transmitting antenna. This paper presents the comparison between two different implementations, either based on one physical antennas miming two receiving antennas, or based directly on two physical receiving antennas. Experimental results are reported to discuss the different advantages and disadvantages. © 2019 European Association on Antennas and Propagation.

关键词： Receiving antennas

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A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit

arXiv

引用

arXiv 2023年

作者： Chang, Ping Li, Huayu Quan, Stuart F. Lu, Shuyang Wung, Shu-Fen Roveda, Janet Li, Ao Department of Electrical & Computer Engineering The University of Arizona TucsonAZ United States Division of Sleep and Circadian Disorders Departments of Medicine and Neurology Brigham and Women’s Hospital Harvard Medical School BostonMA United States Asthma and Airway Disease Research Center College of Medicine The University of Arizona TucsonAZ United States Department of Cardiovascular Surgery Zhongshan Hospital Fudan University Shanghai China The Shanghai Institute of Cardiovascular Diseases Shanghai China Bio5 Institute The University of Arizona TucsonAZ United States College of Nursing The University of Arizona TucsonAZ United States Department of Biomedical Engineering The University of Arizona TucsonAZ United States

Background and Objective: Vital sign monitoring in the Intensive Care Unit (ICU) is crucial for enabling prompt interventions for patients. This underscores the need for an accurate predictive system. Therefore, this study proposes a novel deep learning approach for forecasting Heart Rate (HR), Systolic Blood Pressure (SBP), and Diastolic Blood Pressure (DBP) in the ICU. Methods: We extracted 24,886 ICU stays from the MIMIC-III database which contains data from over 46 thousand patients, to train and test the model. The model proposed in this study, Transformer-based Diffusion Probabilistic Model for Sparse Time Series Forecasting (TDSTF), merges Transformer and diffusion models to forecast vital signs. The TDSTF model showed state-of-the-art performance in predicting vital signs in the ICU, outperforming other models’ ability to predict distributions of vital signs and being more computationally efficient. The code is available at https://***/PingChang818/TDSTF. Results: The results of the study showed that TDSTF achieved a Standardized Average Continuous Ranked Probability Score (SACRPS) of 0.4438 and a Mean Squared Error (MSE) of 0.4168, an improvement of 18.9% and 34.3% over the best baseline model, respectively. The inference speed of TDSTF is more than 17 times faster than the best baseline model. Conclusion: TDSTF is an effective and efficient solution for forecasting vital signs in the ICU, and it shows a significant improvement compared to other models in the field. Copyright © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Fetal ECG extraction from maternal ECG using attention-based cycleGAN

arXiv

引用

arXiv 2020年

作者： Mohebbian, Mohammad Reza Vedaei, Seyed Shahim Wahid, Khan A. Dinh, Anh Marateb, Hamid Reza Tavakolian, Kouhyar Department of Electrical and Computer Engineering University of Saskatchewan S7N 5A9 SaskatoonSK Canada Biomedical Engineering Department University of Isfahan Isfahan Iran Barcelona Spain School of Electrical Engineering and Computer Science University of North Dakota Grand ForksND58202 United States

Non-invasive fetal electrocardiogram (FECG) is used to monitor the electrical pulse of the fetal heart. Decomposing the FECG signal from maternal ECG (MECG) is a blind source separation problem, which is hard due to the low amplitude of FECG, the overlap of R waves, and the potential exposure to noise from different sources. Traditional decomposition techniques, such as adaptive filters, require tuning, alignment, or preconfiguration, such as modeling the noise or desired signal. to map MECG to FECG efficiently. The high correlation between maternal and fetal ECG parts decreases the performance of convolution layers. Therefore, the masking region of interest using the attention mechanism is performed for improving signal generators' precision. The sine activation function is also used since it could retain more details when converting two signal domains. Three available datasets from the Physionet, including A&D FECG, NI-FECG, and NI-FECG challenge, and one synthetic dataset using FECGSYN toolbox, are used to evaluate the performance. The proposed method could map abdominal MECG to scalp FECG with an average 98% R-Square [CI 95%: 97%, 99%] as the goodness of fit on A&D FECG dataset. Moreover, it achieved 99.7 % F1-score [CI 95%: 97.8-99.9], 99.6% F1-score [CI 95%: 98.2%, 99.9%] and 99.3% F1-score [CI 95%: 95.3%, 99.9%] for fetal QRS detection on, A&D FECG, NI-FECG and NI-FECG challenge datasets, respectively. These results are comparable to the state-of-the-art;thus, the proposed algorithm has the potential of being used for high-performance signal-to-signal conversion. © 2020, CC BY.

关键词： Blind source separation

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Wave-encoding and Shuffling Enables Rapid Time Resolved Structural Imaging

arXiv

引用

arXiv 2021年

作者： Iyer, Siddharth Polak, Daniel Liao, Congyu Tamir, Jonathan I. Cauley, Stephen F. Gagoski, Borjan Lo, Wei-Ching Bilgic, Berkin Setsompop, Kawin Athinoula A. Martinos Center for Biomedical Imaging CharlestownMA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States Siemens Healthcare GmbH Karl-Schall-Straße 6 Erlangen91052 Germany Electrical and Computer Engineering University of Texas at Austin Speedway AustinTX2501 United States Boston Children's Hospital Boston Massachusetts BostonMA United States Siemens Medical Solutions BostonMA United States Department of Radiology Stanford University StanfordCA United States Department of Electrical Engineering Stanford University StanfordCA United States

Purpose. T2-Shuffling reconstructs multiple T2-weighted images from a single volumetric fast spin-echo (3D-FSE) scan. Wave-CAIPI achieves good reconstruction at high accelerations by better utlizing coil-sensitivity information using additional sinusoidal gradients. In this work, the T2-Shuffling model is augmented with wave-encoding to achieve higher acceleration capability. The resulting "Wave-Shuffling" approach is applied to 3D-FSE and Magnetization-Prepared Rapid Gradient-Echo (MPRAGE) to achieve rapid, 1 mm-isotropic resolution, time-resolved structural imaging. Theory and Methods. Wave-encoding is incorporated into Shuffling and the wave-encoding parameters are optimized to achieve higher acceleration for the target time-resolved imaging application. 3D-FSE and MPRAGE sequences are modified to enable sinusoidal wave-gradients and random sub-sampling of k-space. In-vivo Shuffling and Wave-Shuffling under-sampling MPRAGE experiments are performed to demonstrate the better conditioning provided by wave-encoding. In-vivo Wave-Shuffling 3D-FSE data are also acquired and reconstructed. A wave-encoding calibration method to account for system hardware imperfections suitable for random under-sampling acquisitions without a densely-sampled, low-resolution calibration region is proposed. Results. For brain imaging application with 32-channel coil at 3T, Wave-Shuffling MPRAGE provides comparable reconstruction at ≈ 8× higher acceleration compared to Shuffling. Wave-Shuffling is successfully applied to MPRAGE and 3D-FSE to recover high-quality time-series of images. Conclusion. Wave-Shuffling enables rapid, time-resolved structural imaging. Copyright © 2021, The Authors. All rights reserved.

关键词： Calibration

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A Method for Solving Many-Objective Optimization Problems in Magnetics 19

A Method for Solving Many-Objective Optimization Problems in...

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19th International Symposium on Electromagnetic Fields in Mechatronics, electrical and Electronic engineering, ISEF 2019

作者： Di Barba, Paolo Mognaschi, Maria Evelina Wiak, Slawomir University of Pavia Dept of Electrical Computer and Biomedical Engineering Pavia Italy Inst of Mechatronics and Information Systems Lodz University of Technology Lodz Poland

Many-objective problems, characterized by a high-dimensional objective space, are a source of challenges for standard methods of multi-objective optimization. An evolutionary algorithm based on the concept of least-co... 详细信息

ISBN: (纸本)9781728115603

关键词： Finite element method

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