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  1. Buch ; Online: Privacy-Preserving Distributed Energy Resource Control with Decentralized Cloud Computing

    Huo, Xiang / Liu, Mingxi

    2023  

    Abstract: The rapidly growing penetration of renewable energy resources brings unprecedented challenges to power distribution networks - management of a large population of grid-tied controllable devices encounters control scalability crises and potential end-user ...

    Abstract The rapidly growing penetration of renewable energy resources brings unprecedented challenges to power distribution networks - management of a large population of grid-tied controllable devices encounters control scalability crises and potential end-user privacy breaches. Despite the importance, research on privacy preservation of distributed energy resource (DER) control in a fully scalable manner is lacked. To fill the gap, this paper designs a novel decentralized privacy-preserving DER control framework that 1) achieves control scalability over DER population and heterogeneity; 2) eliminates peer-to-peer communications and secures the privacy of all participating DERs against various types of adversaries; and 3) enjoys higher computation efficiency and accuracy compared to state-of-the-art privacy-preserving methods. A strongly coupled optimization problem is formulated to control the power consumption and output of DERs, including solar photovoltaics and energy storage systems, then solved using the projected gradient method. Cloud computing and secret sharing are seamlessly integrated into the proposed decentralized computing to achieve privacy preservation. Simulation results prove the capabilities of the proposed approach in DER control applications.
    Schlagwörter Mathematics - Optimization and Control
    Thema/Rubrik (Code) 303
    Erscheinungsdatum 2023-01-05
    Erscheinungsland us
    Dokumenttyp Buch ; Online
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  2. Artikel ; Online: A Public Health Perspective on Influenza Status in the Context of COVID-19 Pandemic, 2019-2020.

    Huo, Xiang / Zhu, Fengcai

    China CDC weekly

    2021  Band 2, Heft 44, Seite(n) 870–872

    Sprache Englisch
    Erscheinungsdatum 2021-09-30
    Erscheinungsland China
    Dokumenttyp Journal Article
    ISSN 2096-7071
    ISSN (online) 2096-7071
    DOI 10.46234/ccdcw2020.231
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  3. Artikel ; Online: Fluorescent immunoassay for chloramphenicol based on the label-free polyadenine-mediated spherical nucleic acids triggered signal amplification.

    Shen, Weiwei / Hong, Qing / Huo, Xiang / Zhou, Yijing / Guo, Yahui / Liu, Zhenmin

    Analytical sciences : the international journal of the Japan Society for Analytical Chemistry

    2024  

    Abstract: A fluorescent immunosorbent assay incorporating signal amplification away from the surface of spherical nucleic acid (SNA) was developed for the detection of chloramphenicol (CAP). Through the conjugation of antibodies and poly-adenine (polyA) DNA onto ... ...

    Abstract A fluorescent immunosorbent assay incorporating signal amplification away from the surface of spherical nucleic acid (SNA) was developed for the detection of chloramphenicol (CAP). Through the conjugation of antibodies and poly-adenine (polyA) DNA onto the surface of gold nanoparticles (AuNPs), the fabrication of the nano-immunoprobe was achieved in a more straightforward and cost-effective manner. Moreover, a strategy utilizing the hybridization chain reaction (HCR) in the amplification step was devised, with particular attention given to the enzyme inhibition associated with SNA. The results demonstrated good performance on CAP detection with a linear range of 0.01-5 ng/L with a detection limit of 0.005 ng/L. The significance of this work mainly lies in the polyA-SNA-based immunoprobe and the thoughtful design to prevent enzyme inhibition.
    Sprache Englisch
    Erscheinungsdatum 2024-04-12
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 1483376-1
    ISSN 1348-2246 ; 1348-2246
    ISSN (online) 1348-2246
    ISSN 1348-2246
    DOI 10.1007/s44211-024-00565-z
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  4. Artikel ; Online: Electroacupuncture for obesity: A systematic review and meta-analysis.

    Teng, Jing-Quan / Chen, Jia / Yu, Xiao / Huo, Xiang-Xiang

    Asian journal of surgery

    2023  Band 46, Heft 11, Seite(n) 4844–4845

    Mesh-Begriff(e) Humans ; Electroacupuncture ; Obesity
    Sprache Englisch
    Erscheinungsdatum 2023-06-13
    Erscheinungsland Netherlands
    Dokumenttyp Meta-Analysis ; Systematic Review ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.05.130
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  5. Artikel ; Online: Influenza virus subtype/lineage-specific seasonal patterns and age-related infection risk, in Eastern China.

    Huo, Xiang / Fu, Junjie / Dai, Qigang / Zhu, Fengcai

    Journal of infection in developing countries

    2022  Band 16, Heft 12, Seite(n) 1928–1932

    Abstract: Introduction: Differences in seasonal pattern and age-related infection risk have been reported between Influenza type A and B, but have not been elaborated at subtype/lineage level.: Methodology: All laboratory-confirmed influenza cases reported in ... ...

    Abstract Introduction: Differences in seasonal pattern and age-related infection risk have been reported between Influenza type A and B, but have not been elaborated at subtype/lineage level.
    Methodology: All laboratory-confirmed influenza cases reported in the influenza surveillance system of Jiangsu Province, China from January 2011 to August 2019 were analyzed. Influenza seasonality was characterized using the Seasonal Decomposition method. Binary and multinomial logistic regressions were employed to calculate the odds ratios of influenza subtypes/lineages in relation to age.
    Results: A total of 28,772 confirmed influenza cases were included. Among them, a majority (64.1%) were influenza A infections. One annual peak was observed for A (H1N1) pdm and B-Yamagata in winter months, and for B-Victoria in spring months, while biannual peaks were observed for A (H3N2) in winter and summer months. Using all ages as the reference, children younger than 5 years and adults of 25-59 years were more likely to infect with A (H1N1) pdm. Older children aged 5-14 years had significantly higher odds of infection with influenza B of both lineages, while individuals aged 15-24 years had higher odds for A (H3N2) and B-Victoria. The elderly (60 years or older) were prone to be infected with A (H3N2) and B-Yamagata. For a specific age group, their likelihood of getting infected with an influenza subtype or lineage was related to the co-circulating influenza subtype or lineage.
    Conclusions: Influenza viruses have divergent seasonal peak times and age-related infection risk at subtype/lineage level.
    Mesh-Begriff(e) Adult ; Child ; Aged ; Humans ; Adolescent ; Influenza, Human/epidemiology ; Seasons ; Influenza A Virus, H1N1 Subtype ; Influenza A Virus, H3N2 Subtype ; China/epidemiology ; Disease Susceptibility ; Influenza Vaccines
    Chemische Substanzen Influenza Vaccines
    Sprache Englisch
    Erscheinungsdatum 2022-12-31
    Erscheinungsland Italy
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2394024-4
    ISSN 1972-2680 ; 2036-6590
    ISSN (online) 1972-2680
    ISSN 2036-6590
    DOI 10.3855/jidc.14887
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Secondary attack rates of COVID-19 in diverse contact settings, a meta-analysis.

    Tian, Ting / Huo, Xiang

    Journal of infection in developing countries

    2020  Band 14, Heft 12, Seite(n) 1361–1367

    Abstract: Introduction: The secondary attack rate (SAR) measures the transmissibility of an infectious agent. The reported SAR of COVID-19 varied in a broad range, and between different contact settings.: Methodology: We conducted a meta-analysis on the SAR of ...

    Abstract Introduction: The secondary attack rate (SAR) measures the transmissibility of an infectious agent. The reported SAR of COVID-19 varied in a broad range, and between different contact settings.
    Methodology: We conducted a meta-analysis on the SAR of COVID-19 with adherence to the PRISMA guideline. We searched published literatures and preprints in international databases of PubMed and medRxiv, and in five major Chinese databases as of 20 April 2020, using the following search terms: ("COVID-19" and "secondary attack rate") or ("COVID-19" and "close contact"). The random effect model was chosen for pooled analyses, using R (version 3.6.3).
    Results: A total of 1,136 references were retrieved and 18 of them remained after screening. The pooled SAR of COVID-19 was 0.07 (95%: 0.03-0.12) in general. It differed significantly between contact settings, peaking in households (0.20, 95%: 0.15-0.28), followed by in social gatherings (0.06, 95%: 0.03-0.10). The point estimates of the pooled SARs in health facilities, transports, and work/study settings were all as low as 0.01. Among all the secondary cases, the proportion of asymptomatic infections was estimated to be 0.17 (95% CI: 0.09 - 0.34). The proportion was higher in households (0.26, 95% CI: 0.12-0.56), than in other contact settings.
    Conclusions: The transmission risk of SARS-CoV-2 is much higher in households than in other scenarios. Identification of asymptomatic secondary infections should be enhanced in households.
    Mesh-Begriff(e) Asymptomatic Diseases ; COVID-19/prevention & control ; COVID-19/transmission ; Databases, Factual ; Family Characteristics ; Global Health ; Humans ; Incidence ; Risk Factors
    Sprache Englisch
    Erscheinungsdatum 2020-12-31
    Erscheinungsland Italy
    Dokumenttyp Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't
    ZDB-ID 2394024-4
    ISSN 1972-2680 ; 2036-6590
    ISSN (online) 1972-2680
    ISSN 2036-6590
    DOI 10.3855/jidc.13256
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  7. Buch ; Online: Exploration of For-Purpose Decentralized Algorithmic Cyber Attacks in EV Charging Control

    Fard, Mahan Fakouri / Huo, Xiang / Liu, Mingxi

    2023  

    Abstract: Distributed and decentralized multi-agent optimization (DMAO) algorithms enable the control of large-scale grid-edge resources, such as electric vehicles (EV), to provide power grid services. Despite its great scalability, DMAO is fundamentally prone to ... ...

    Abstract Distributed and decentralized multi-agent optimization (DMAO) algorithms enable the control of large-scale grid-edge resources, such as electric vehicles (EV), to provide power grid services. Despite its great scalability, DMAO is fundamentally prone to cyber attacks as it is highly dependent on frequent peer-to-peer communications. Existing cyber-security research in this regard mainly focuses on \emph{broad-spectrum} attacks aiming at jeopardizing the entire control system while losing the possibility of achieving specific attacking purposes. This paper, for the first time, explores novel \emph{for-purpose} algorithmic attacks that are launched by participating agents and interface with DMAO to achieve self-interest attack purposes. A decentralized EV charging control problem is formulated as an illustrative use case. Theoretical \emph{for-purpose} attack vectors with and without the stealthy feature are devised. Simulations on EV charging control show the practicability of the proposed algorithmic \emph{for-purpose} attacks and the impacts of such attacks on distribution networks.

    Comment: 6 pages, 6 Figures
    Schlagwörter Electrical Engineering and Systems Science - Systems and Control
    Thema/Rubrik (Code) 629
    Erscheinungsdatum 2023-03-06
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Buch ; Online: Distributed Privacy-Preserving Electric Vehicle Charging Control Based on Secret Sharing

    Huo, Xiang / Liu, Mingxi

    2021  

    Abstract: Cooperative electric vehicle (EV) charging control has emerged as a key component in grid-edge resource (GER) management. However, customers' privacy remains a major barrier to large-scale implementation of EV charging control. In this paper, we develop ... ...

    Abstract Cooperative electric vehicle (EV) charging control has emerged as a key component in grid-edge resource (GER) management. However, customers' privacy remains a major barrier to large-scale implementation of EV charging control. In this paper, we develop a distributed privacy-preserving EV charging control protocol based on secret sharing (SS) that 1) achieves scalability over EV population size; 2) enjoys higher computation efficiency compared to homomorphic encryption (HE) based methods; and 3) secures the privacy of the participating EVs against honest-but-curious adversaries and external eavesdroppers. The cooperative EV charging control is formulated to achieve overnight valley-filling and framed into the projected gradient algorithm (PGA) structure as a distributed optimization problem. SS is integrated into PGA to achieve secure updates of both primal and dual variables. Theoretical security analyses and simulations in a residential area are conducted to prove the privacy preservation guarantee as well as the efficacy and efficiency of the proposed privacy preservation method. Broadly, the proposed method can be readily extended to various GER control applications.
    Schlagwörter Electrical Engineering and Systems Science - Systems and Control
    Thema/Rubrik (Code) 005
    Erscheinungsdatum 2021-10-05
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Influenza surveillance in China: a big jump, but further to go.

    Huo, Xiang / Zhu, Feng-Cai

    The Lancet. Public health

    2019  Band 4, Heft 9, Seite(n) e436–e437

    Mesh-Begriff(e) China ; Disease Outbreaks ; Humans ; Influenza, Human/epidemiology
    Sprache Englisch
    Erscheinungsdatum 2019-09-02
    Erscheinungsland England
    Dokumenttyp Journal Article ; Comment
    ISSN 2468-2667
    ISSN (online) 2468-2667
    DOI 10.1016/S2468-2667(19)30158-6
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  10. Buch ; Online: Decentralized Electric Vehicle Charging Control via a Novel Shrunken Primal Multi-Dual Subgradient (SPMDS) Algorithm

    Huo, Xiang / Liu, Mingxi

    2020  

    Abstract: The charging processes of a large number of electric vehicles (EVs) require coordination and control for the alleviation of their impacts on the distribution network and for the provision of various grid services. However, the scalability of existing EV ... ...

    Abstract The charging processes of a large number of electric vehicles (EVs) require coordination and control for the alleviation of their impacts on the distribution network and for the provision of various grid services. However, the scalability of existing EV charging control paradigms are limited by either the number of EVs or the distribution network dimension, largely impairing EVs' aggregate service capability and applicability. To overcome the scalability barrier, this paper, motivated by the optimal scheduling problem for the valley-filling service, (1) proposes a novel dimension reduction methodology by grouping EVs (primal decision variables) and establishing voltage (global coupled constraints) updating subsets for each EV group in the distribution network and (2) develops a novel decentralized shrunken primal multi-dual subgradient (SPMDS) optimization algorithm to solve this reduced-dimension problem. The proposed SPMDS-based control framework requires no communication between EVs, reduces over 43% of the computational cost in the primal subgradient update, and reduces up to 68% of the computational cost in the dual subgradient update. The efficiency and efficacy of the proposed algorithm are demonstrated through simulations over a modified IEEE 13-bus test feeder and a modified IEEE 123-bus test feeder.

    Comment: 8 pages, 5 figures, 2 tables, submitted to 2020 IEEE CDC (submission 728)
    Schlagwörter Mathematics - Optimization and Control ; Electrical Engineering and Systems Science - Systems and Control
    Thema/Rubrik (Code) 629
    Erscheinungsdatum 2020-03-31
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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