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Historical Changes and Future Trends of Extreme Precipitation and High Temperature in China

Shu Zhangkang , Li Wenxin, Zhang Jianyun, Jin Junliang, Xue Qing, Wang Yintang, Hu Qingfang, Wang Guoqing

Strategic Study of Chinese Academy of Engineering 2022, Volume 24, Issue 5,   Pages 116-125 doi: 10.15302/J-SSCAE-2022.05.014

Abstract:

Extreme events occur frequently in China against the background of globalUnderstanding the spatiotemporal variation of extreme events and predicting their future trends can provideCoupled Model Intercomparison Project Phase 6 (CMIP6), we analyzed the evolution characteristics of extremeprecipitation and high temperature events in China from 1975 to 2014, predicted the evolution of extremeTo mitigate the impact of climate change and cope with the risk of extreme events in the future,

Keywords： climate change     extreme event     CMIP6     extreme disaster response    

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A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 231-237 doi: 10.1007/s11708-015-0358-6

Abstract: In this paper, a systematic approach to ON-OFF event detection and clustering analysis for NIALM wereconsumption data set, the data are passed through median filtering to reduce noise and prepared for the eventThe event detection algorithm is to determine the switching of ON and OFF status of electrical appliancesThe goodness-of-fit (GOF) methodology is the event detection algorithm implemented.After event detection, the events detected were paired into ON-OFF pairing appliances.

Keywords： non-intrusive appliance load monitoring     event detection     goodness-of-fit (GOF)     K-means clustering    

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BUEES: a bottom-up event extraction system

Xiao DING,Bing QIN,Ting LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 541-552 doi: 10.1631/FITEE.1400405

Abstract: Traditional event extraction systems focus mainly on event type identification and event participantHowever, different domains have different event type paradigms.This kind of conventional event extraction system requires massive human effort, and hence prevents eventSubsequently, the system extracts event arguments according to these patterns.extraction system, i.e., a supervised event extraction system.

Keywords： Event extraction     Unsupervised learning     Bottom-up    

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Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 214-220 doi: 10.1007/s42524-022-0192-6

Abstract: In the majority of the previous works on discrete-event stochastic systems, they have been assumed toprocesses, and we discuss the difficulties and possible future research topics in the study of discrete-event

Keywords： discrete-event stochastic system     correlated input     performance evaluation    

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Extreme weather/climate events and disaster prevention and mitigation under global warming background

Zhai Panmao,Liu Jing

Strategic Study of Chinese Academy of Engineering 2012, Volume 14, Issue 9,   Pages 55-63

Abstract:

The definitions of extreme weather/climate events and "climate extremeOn the basis of classifying the extreme events into four categories (namely extremes caused by variationssingle variable, events related to weather phenomena,compound events and climate extremes), the related extremeMeanwhile, it is also necessary to strengthen engineering defense measures based on changes in extreme

Keywords： extreme climate indices     high impacts     meteorological disasters     engineering    

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Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 444-460 doi: 10.1007/s11709-021-0697-9

Abstract: The models include three different types of extreme learning machines, including the standard, onlinesequential, and kernel extreme learning machines, in addition to the artificial neural network, classificationThe online sequential extreme learning machine model demonstrated superior performance over the other

Keywords： sewer systems     environmental engineering     data-driven methods     sensitivity analysis    

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Comparison of reference values for immune recovery between event-free patients receiving haploidentical

Xuying Pei, Xiangyu Zhao, Yu Wang, Lanping Xu, Xiaohui Zhang, Kaiyan Liu, Yingjun Chang, Xiaojun Huang

Frontiers of Medicine 2018, Volume 12, Issue 2,   Pages 153-163 doi: 10.1007/s11684-017-0548-1

Abstract:

To establish optimal reference values for recovered immune cell subsets, we prospectively investigated post-transplant immune reconstitution (IR) in 144 patients who received allogeneic stem cell transplantation (allo-SCT) and without showing any of the following events: poor graft function, grades II?IV acute graft-versus-host disease (GVHD), serious chronic GVHD, serious bacterial infection, invasive fungal infection, or relapse or death in the first year after transplantation. IR was rapid in monocytes, intermediate in lymphocytes, CD3+ T cells, CD8+ T cells, and CD19+ B cells, and very slow in CD4+ T cells in the entire patient cohort. Immune recovery was generally faster under HLA-matched sibling donor transplantation than under haploidentical transplantation. Results suggest that patients with an IR comparable to the reference values display superior survival, and the levels of recovery in immune cells need not reach those in healthy donor in the first year after transplantation. We suggest that data from this recipient cohort should be used as reference values for post-transplant immune cell counts in patients receiving HSCT.

Keywords： immune reconstitution     hematopoietic stem cell transplantation     event-free patients     reference range    

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compressive strength of concrete containing micro-silica, nano-silica, and polypropylene fibers using extreme

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 821-830 doi: 10.1007/s11709-019-0518-6

Abstract: Many studies have evaluated the effects of additives such as nano-silica (NS), micro-silica (MS) and polymer fibers on optimizing the mechanical properties of concrete, such as compressive strength. Nowadays, with progress in cement industry provides, it has become possible to produce cement type I with strength classes of 32.5, 42.5, and 52.5 MPa. On the one hand, the microstructure of cement has changed, and modified by NS, MS, and polymers; therefore it is very important to determine the optimal percentage of each additives for those CSCs. In this study, 12 mix designs containing different percentages of MS, NS, and polymer fibers in three cement strength classes(CSCs) (32.5, 42.5, and 52.5 MPa) were designed and constructed based on the mixture method. Results indicated the sensitivity of each CSCs can be different on the NS or MS in compressive strength of concrete. Consequently, strength classes have a significant effect on the amount of MS and NS in mix design of concrete. While, polymer fibers don’t have significant effect in compressive strength considering CSCs.

Keywords： mixture method     compressive strength     nano-silica     micro-silica     polypropylene fibers    

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Liquid metal enabled combinatorial heat transfer science: toward unconventional extreme cooling

Xiao-Hu YANG, Jing LIU

Frontiers in Energy 2018, Volume 12, Issue 2,   Pages 259-275 doi: 10.1007/s11708-017-0521-3

Abstract: technologies and further advance the liquid metal cooling to an ever higher level in tackling more extreme

Keywords： combinatorial heat transfer     liquid metal     high flux cooling     thermal management    

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Dynamic behavior of stormwater quality parameters in South Texas

Xubin PAN, Jingyi ZHANG, Wei-Ta FANG, Kim D. JONES

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6,   Pages 825-830 doi: 10.1007/s11783-012-0465-0

Abstract: At this field monitoring site within McAuliffe Park, McAllen, Texas, in the United States, a storm eventincreased the concentrations of ( ), but this event represented a decreasing trend over the entireevent period.Multi-sample per-event approaches recommended based on the complexity of the hydrograph and differentaddition, high bacteria and total suspended solids (TSS) concentrations in the initial stage of the storm event

Keywords： event mean concentration     first flush     multi-sample per event     ecohydrology    

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Extreme-scale parallel computing: bottlenecks and strategies None

Ze-yao MO

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 10,   Pages 1251-1260 doi: 10.1631/FITEE.1800421

Abstract:

Extreme-scale numerical simulations seriously demand extreme parallel computing capabilities.

Keywords： Extreme scale     Numerical simulation     Parallel computing     Supercomputers    

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Modeling of semi-rigid beam-to-column steel joints under extreme loading

C FANG, B A IZZUDDIN, A Y ELGHAZOULI, D A NETHERCOT

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 3,   Pages 245-263 doi: 10.1007/s11709-013-0215-9

Abstract: Joints play an important role in providing ductility for steel-composite structures subject to extreme

Keywords： semi-rigid joint     component method     ductility     elevated temperature    

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AED-Net: An Abnormal Event Detection Network Article

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Engineering 2019, Volume 5, Issue 5,   Pages 930-939 doi: 10.1016/j.eng.2019.02.008

Abstract: In this paper, a self-supervised framework called the abnormal event detection network (AED-Net), whichExperiments in global and local abnormal event detection are carried out on Monitoring Human Activity

Keywords： Abnormal events detection     Abnormal event detection network     Principal component analysis network     Kernel    

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Event-triggered dynamic output-feedback control for a class of Lipschitz nonlinear systems Research Article

Zhiqian LIU, Xuyang LOU, Jiajia JIA

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1684-1699 doi: 10.1631/FITEE.2100552

Abstract: Then, a novel event-triggered mechanism is proposed for the s in which new event-triggered conditionsIn addition, an upper bound of a minimum inter-event interval is provided to avoid the Zeno phenomenon

Keywords： Lipschitz nonlinear system     Dynamic output-feedback control     Event-triggered control     Global asymptotic    

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Extreme Engineering: Polarization in Product Development and Manufacturing

Andrew Kusiak

Engineering 2021, Volume 7, Issue 3,   Pages 282-284 doi: 10.1016/j.eng.2020.01.012

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Title Author Date Type Operation

Historical Changes and Future Trends of Extreme Precipitation and High Temperature in China

Shu Zhangkang , Li Wenxin, Zhang Jianyun, Jin Junliang, Xue Qing, Wang Yintang, Hu Qingfang, Wang Guoqing

Journal Article

A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Journal Article

BUEES: a bottom-up event extraction system

Xiao DING,Bing QIN,Ting LIU

Journal Article

Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Journal Article

Extreme weather/climate events and disaster prevention and mitigation under global warming background

Zhai Panmao,Liu Jing

Journal Article

Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Journal Article

Comparison of reference values for immune recovery between event-free patients receiving haploidentical

Xuying Pei, Xiangyu Zhao, Yu Wang, Lanping Xu, Xiaohui Zhang, Kaiyan Liu, Yingjun Chang, Xiaojun Huang

Journal Article

compressive strength of concrete containing micro-silica, nano-silica, and polypropylene fibers using extreme

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Journal Article

Liquid metal enabled combinatorial heat transfer science: toward unconventional extreme cooling

Xiao-Hu YANG, Jing LIU

Journal Article

Dynamic behavior of stormwater quality parameters in South Texas

Xubin PAN, Jingyi ZHANG, Wei-Ta FANG, Kim D. JONES

Journal Article

Extreme-scale parallel computing: bottlenecks and strategies

Ze-yao MO

Journal Article

Modeling of semi-rigid beam-to-column steel joints under extreme loading

C FANG, B A IZZUDDIN, A Y ELGHAZOULI, D A NETHERCOT

Journal Article

AED-Net: An Abnormal Event Detection Network

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Journal Article

Event-triggered dynamic output-feedback control for a class of Lipschitz nonlinear systems

Zhiqian LIU, Xuyang LOU, Jiajia JIA

Journal Article

Extreme Engineering: Polarization in Product Development and Manufacturing

Andrew Kusiak

Journal Article