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arXiv 2019年

作者： Aligholian, Armin Shahsavari, Alireza Cortez, Ed Stewart, Emma Mohsenian-Rad, Hamed Department of Electrical and Computer Engineering University of California RiversideCA United States Energy Delivery Engineering Group Riverside Public Utilities RiversideCA United States Defense Infrastructure Group Lawrence Livermore National Laboratory LivermoreCA United States

A new data-driven method is proposed to detect events in the data streams from distribution-level phasor measurement units, a.k.a., micro-PMUs. The proposed method is developed by constructing unsupervised deep learning anomaly detection models;thus, providing event detection algorithms that require no or minimal human knowledge. First, we develop the core components of our approach based on a Generative Adversarial Network (GAN) model. We refer to this method as the basic method. It uses the same features that are often used in the literature to detect events in micro-PMU data. Next, we propose a second method, which we refer to as the enhanced method, which is enforced with additional feature analysis. Both methods can detect point signatures on single features and also group signatures on multiple features. This capability can address the unbalanced nature of power distribution circuits. The proposed methods are evaluated using real-world micro-PMU data. We show that both methods highly outperform a state-of-the-art statistical method in terms of the event detection accuracy. The enhanced method also outperforms the basic method. Copyright © 2019, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Scoping review of the potential health effects of exposure to extremely low-frequency electric and magnetic fields

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Critical Reviews in Biomedical engineering 2019年第4期47卷 323-347页

作者： Habash, Mara Gogna, Priyanka Krewski, Daniel Habash, Riadh Department of Public Health Sciences Queen’s University 62 Fifth Field Company Lane KingstonONK7L3N6 Canada McLaughlin Centre for Population Health Risk Assessment University of Ottawa 600 Peter Morand Crescent OttawaONK1G 5Z3 Canada School of Electrical Engineering and Computer Science University of Ottawa 800 King Edward Avenue OttawaONK1N 6N5 Canada

Previous studies suggest that extremely low-frequency (ELF) electric and magnetic fields (EMFs) may impact human health. However, epidemiologic studies have provided inconsistent results on the association between exposure to ELF EMFs and various health outcomes. This scoping review reports on primary investigations that were published during the ten-year period of 2007-2017 on the association between ELF EMFs and cancer, cardiovascular disease (CVD), reproductive health effects, and neurodegenerative diseases. We identified a total of 361 articles from two bibliographic databases (PubMed and EMBASE). Of these, 39 articles (19 cancer studies, two CVD studies, nine reproductive health studies, and ten neurodegenerative disease studies [with one repeated for two outcomes]) met inclusion criteria. Articles identified in this study focus on three different types of exposure: occupational (22 studies), residential (15 studies), and electric blanket (two studies). This review suggests that ELF EMFs may be associated with neurodegenerative diseases, specifically Alzheimer’s disease;however, limited evidence was found to suggest that ELF EMFs are associated with several types of cancer, CVD, and reproductive outcomes. Additional epidemiological studies in large study populations with improved exposure assessments are needed to clarify current inconclusive relationships. © 2019 by Begell House, Inc.

关键词： Neurodegenerative diseases

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Practical posterior error bounds from variational objectives

arXiv

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arXiv 2019年

作者： Huggins, Jonathan H. Kasprzak, Mikolaj Campbell, Trevor Broderick, Tamara Department of Biostatistics Harvard T. H. Chan School of Public Health Mathematics Research Unit University of Luxembourg Department of Statistics University of British Columbia Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology

Variational inference has become an increasingly attractive fast alternative to Markov chain Monte Carlo methods for approximate Bayesian inference. However, a major obstacle to the widespread use of variational methods is the lack of post-hoc accuracy measures that are both theoretically justified and computationally efficient. In this paper, we provide rigorous bounds on the error of posterior mean and uncertainty estimates that arise from full-distribution approximations, as in variational inference. Our bounds are widely applicable as they require only that the approximating and exact posteriors have polynomial moments. Our bounds are computationally efficient for variational inference in that they require only standard values from variational objectives, straightforward analytic calculations, and simple Monte Carlo estimates. We show that our analysis naturally leads to a new and improved workflow for variational inference. Finally, we demonstrate the utility of our proposed workflow and error bounds on a real-data example with a widely used multilevel hierarchical model. Copyright © 2019, The Authors. All rights reserved.

关键词： Computational efficiency

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Author Correction: Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations

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NPJ digital medicine 2024年第1期7卷 220页

作者： Jane J Huang Roomasa Channa Risa M Wolf Yiwen Dong Mavis Liang Jiangxia Wang Michael D Abramoff T Y Alvin Liu Wilmer Eye Institute Johns Hopkins University School of Medicine Baltimore MD USA. University of Wisconsin-Madison School of Medicine and Public Health Madison WI USA. Johns Hopkins Pediatric Diabetes Center Johns Hopkins University School of Medicine Baltimore MD USA. Department of Biostatistics Johns Hopkins University Baltimore MD USA. Department of Ophthalmology and Visual Sciences University of Iowa Iowa City IA USA. Department of Electrical and Computer Engineering University of Iowa Iowa City IA USA. Wilmer Eye Institute Johns Hopkins University School of Medicine Baltimore MD USA. tliu25@jhmi.edu.

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Development of a smartphone-based app for determination of formaldehyde concentration indoors 15

Development of a smartphone-based app for determination of f...

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15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018

作者： Zhang, Siyang Shapiro, Nicholas Gehrke, Gretchen Castner, Jessica Liu, Zhenlei Guo, Beverly Zhang, Jianshun Haines, Sarah Kormos, David Frey, Paige Qin, Rongjun Dannemiller, Karen C. Department of Computer Science and Engineering Ohio State University United States Public Laboratory for Open Technology and Science Department of Mechanical and Aerospace Engineering Syracuse University Environmental Science Graduate Program Ohio State University United States Department of Civil Environmental and Geodetic Engineering College of Engineering Ohio State University United States Strand Associates Incorporated Department of Electrical and Computer Engineering Ohio State University United States Department of Environmental Health Sciences College of Public Health Ohio State University United States

ISBN: (纸本)9781713826514

Formaldehyde is a ubiquitous contaminant in the indoor environment that is both a carcinogen and irritant. The goal of this project is to develop a smartphone-based app for use by citizen scientists or researchers that can be paired with low-cost colorimetric badges for detection of indoor formaldehyde. We conducted both national and geographically-targeted surveys prior to app design. We have subsequently developed the app and conducted a beta test. Surveys of 147 individuals indicated broad public interest in formaldehyde testing using smartphone technology. Testing of the badges indicated consistent change in illumination with increasing formaldehyde exposure. Beta testing indicated users were able to navigate the existing app, and highlighted areas for improvement including incorporation of public surveys. Planned future analysis includes extensive calibration testing and a community-based field test. © 2018 15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018. All rights reserved.

关键词： Formaldehyde

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Offshore Wind Replaces Coal and Reduces Transmission, Enabling China to Meet the 1.5°C Climate Imperative

SSRN

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SSRN 2020年

作者： Li, Bo Ma, Ziming He, Gang Hidalgo-Gonzalez, Patricia Fedorova, Natalie Chen, Minyou Kammen, Daniel M. School of Electrical Engineering State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing400030 China Renewable and Appropriate Energy Laboratory University of California BerkeleyCA94720 United States National Power Dispatching and Control Center Beijing100031 China Energy and Resources Group University of California BerkeleyCA94720 United States Department of Technology and Society College of Engineering and Applied Sciences Stony Brook University Stony BrookNY11794 United States Department of Mechanical and Aerospace Engineering University of California San DiegoCA92093 United States Goldman School of Public Policy University of California BerkeleyCA94720 United States Department of Nuclear Engineering University of California BerkeleyCA94720 United States

China is the world’s leading installer of wind turbines. Attention is rapidly rising in China to the potential of offshore wind. We utilize the SWITCH-China power sector capacity expansion model to explore the transformative role that offshore wind can play in China meeting the ambitious but critically needed 1.5 °C climate objective. We explore alternative energy mixes and analyze the resulting economic and CO2 emissions benefits of offshore wind as a major energy source for China. We find that offshore wind not only replaces coal-fired power plants, which dominate the energy mix in Chinese coastal regions, but also reduces the need for ultra-high-voltage (UHV) transmission lines to deliver the renewable energy generated in the West China to the coastal regions in the East. Offshore wind enables the coastal provinces to become a new hub of green electricity supply, with offshore wind could provide 2 % - 28.6 % of coastal generation (between 1% and 13.2% of total generation) by 2030 across cost-effective energy development scenarios. © 2020, The Authors. All rights reserved.

关键词： Coal

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Comparing Changes in Diet Quality Between Two Technology-Based Diet Tracking Devices

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Journal of Technology in Behavioral Science 2019年第1期4卷 25-32页

作者： Boutté, Alycia K. Turner-McGrievy, Gabrielle M. Wilcox, Sara Hutto, Brent Muth, Eric Hoover, Adam Department of Health Promotion Education and Behavior Arnold School of Public Health University of South Carolina 915 Greene Street Room 529 Columbia 29208 SC United States Department of Health Promotion Education and Behavior Arnold School of Public Health University of South Carolina 915 Greene Street Room 552 Columbia 29208 SC United States Department of Exercise Science Prevention Research Center Arnold School of Public Health University of South Carolina 921 Assembly Street Public Health Research Center 117 Columbia 29208 SC United States Statistician Prevention Research Center Arnold School of Public Health University of South Carolina 921 Assembly Street Public Health Research Center 129 Columbia 29208 SC United States Department of Psychology Clemson University 418 Brackett Hall Clemson 29634 SC United States Holcombe Department of Electrical and Computer Engineering Clemson University 433 Calhoun Dr. Clemson 29634 SC United States

This study aimed to examine changes in Healthy Eating Index-2010 (HEI-2010) scores, components, and energy intake between automated Bite Counter (Bite) and traditional diet tracking mobile app (App) groups. This was a secondary analysis of the DIET Mobile study, a 6-month weight loss intervention. Assessments were conducted at baseline, 3 and 6 months. Twenty-four-hour dietary recall data were collected. Overweight/obese adults (N = 81) were randomized to Bite or App groups. The intervention was delivered through behavioral podcasts. Participants were provided customized calorie/bite goals and used their device to track intake. We assessed changes in HEI-2010 scores from baseline to 6 months between groups. t tests, chi-square, and repeated measures ANOVA were performed. Models included time, group, and group×time interaction, controlling for no other covariates. There were no significant changes in HEI-2010 scores, components, or energy intake between groups at 3 or 6 months. This study found that both the Bite and App groups were able to reduce their energy intake and there was no difference in changes in diet quality between groups, which provides some support for using the less intensive, more automated method (Bite Counter) for long-term dietary self-monitoring. The study had a low sample size according to power calculations. Future interventions aimed at improving diet quality through mHealth technology should investigate the potential to develop a new app or modify an existing app that would allow for dietary self-monitoring that provides specific feedback on how users’ diets align with diet quality components in the HEI to improve overall diet quality. © 2018, Springer Nature Switzerland AG.

关键词： Dietary self-monitoring Healthy diet Mobile health Obesity

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Case study of content development needs for tele-therapy in an Asian context 18

Case study of content development needs for tele-therapy in ...

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2nd Asian CHI Symposium 2018: Emerging Research Collections, Asian HCI 2018

作者： Foong, Pin Sym Wong, Nicholas Guo, Yiting Emily Shih-Cheng, Yen Ee Beng, Arthur Tay Huat, Gerald Koh Choon Saw Swee Hock School of Public Health National University of Singapore Japan Department of Rehabilitation National University Hospital Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (纸本)9781450356411

Content for Asian tele-therapy contexts are not easily available. Particularly for older adults, who form the bulk of rehabilitation clients, cultural and language appropriateness can promote acceptance and engagement with digital rehabilitative systems. In this case study, we lay out the specific challenges faced in developing Asian, localized content. Our findings showed difficulties related to the translation of content across linguistic and cultural differences. The challenge of localizing content is worsened by the constraints on distribution introduced by moving a health service online. This study contributes a description of these challenges, and concludes with an urgent call for more research focus on supporting efficient, low-resource content development. © 2018 Copyright is held by the owner/author(s).

关键词： Patient rehabilitation

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Examining Interconnection and Net Metering policy for Distributed Generation in the United States

SSRN

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SSRN 2019年

作者： Schelly, Chelsea Louie, Edward P. Pearce, Joshua M. Dept. of Social Sciences Michigan Technological University 1400 Townsend Drive HoughtonMI49931 United States School of Public Policy Oregon State University CorvallisOR97331-3703 United States Materials Science and Engineering Department of Electrical & Computer Engineering Michigan Technological University 1400 Townsend Drive HoughtonMI49931 United States

Following requirements of the Energy policy Act of 2005, most U.S. states require utility companies to adopt interconnection and net metering policies, allowing customers to become prosumers who both consume and produce electricity, generating electricity using distributed renewable energy technologies, connecting to the existing electric utility grid and receiving compensation for excess electricity generation. This paper reviews existing interconnection and net metering policies instituted by investor owned utilities (IOUs) across the U.S., specifically focused on policies regulating installations of small scale, residential or Tier 1 (a term used to indicate policies applicable to smaller scale rather than larger scale, although the size at which DG systems are classified as either Tier 1 or higher tiers varies by utility). publicly available data from each IOU reveal inconsistencies in interconnection and net metering policies, within states and even within individual companies. In addition, accurate information is often unavailable to consumers. Perhaps most importantly, results suggest that compensation for excess distributed generation often lacks transparent articulation in utility policy. The results of this study provide important insight into interconnection and net metering policies for distributed renewable energy generation, as states and utilities continue to modify interconnection and net metering policies in response to increased adoption of distributed renewable energy systems. © 2019, The Authors. All rights reserved.

关键词： Electric utilities

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Publisher Correction: Systemically-delivered biodegradable PLGA alters gut microbiota and induces transcriptomic reprogramming in the liver in an obesity mouse model

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Scientific reports 2020年第1期10卷 16010页

作者： Alice Chaplin Huiyun Gao Courteney Asase Palanivel Rengasamy Bongsoo Park Danielle Skander Gürkan Bebek Sanjay Rajagopalan Andrei Maiseyeu School of Medicine Cardiovascular Research Institute Case Western Reserve University 10900 Euclid Ave Cleveland OH 44106 USA. Environmental Health and Engineering Johns Hopkins Bloomberg School of Public Health Johns Hopkins University Baltimore MD USA. Department of Nutrition Department of Electrical Engineering and Computer Science Center for Proteomics and Bioinformatics Case Western Reserve University 10900 Euclid Ave Cleveland OH 44106 USA. School of Medicine Cardiovascular Research Institute Case Western Reserve University 10900 Euclid Ave Cleveland OH 44106 USA. axm1079@case.edu.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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