10,704 research outputs found

    Investigating Time-Based Glare Allowance Based On Realistic Short Time Duration

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    Daylight performance in a real space is dynamic, as a response, dynamic glare evaluations are more reasonable. Based on the fundamental of widely studied instantaneous assessment of visual comfort evaluations, the novelty of this research is duration in predicting visual comfort issues, aims to explore the relationship between human discomfort perceptions and glare integral in time. Subjective survey and 6-minute time interval eDGPs simulations was taken place in four east-facing test rooms in Guangzhou, China. 16 volunteers participated in this survey from July 6th to Sep 3rd, 2017, all participants ranked the visual discomfort condition three times a day in morning/midday/afternoon. The results of this survey illustrated that enhanced simplified DGP (eDGPs) is capable to instead of full-rendered DGP in predicting time-based visual comfort issues, and eDGPs has the advantage of being able to be rapid calculated in long-term survey or analysis. Moreover, there existed a strong correlation between the duration time above certain visual comfort thresholds with reported long-term visual comfort. The trigger duration time of 0.45\u3eeDGPs≥0.40 is 12 minutes that occupant could evaluate the space visual intolerable and the corresponding median duration time is no less than 24 min. Meanwhile, the median duration time of 0.40\u3eeDGPs≥0.35 is 6 min that a subject could rank the office space visual disturbing. The trigger duration time of 0.35\u3eeDGPs≥0.30 is 6 min and the median value is 18 min that subject could probably evaluate the room space as glare perceptible

    Analysis of Noisy Evolutionary Optimization When Sampling Fails

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    In noisy evolutionary optimization, sampling is a common strategy to deal with noise. By the sampling strategy, the fitness of a solution is evaluated multiple times (called \emph{sample size}) independently, and its true fitness is then approximated by the average of these evaluations. Previous studies on sampling are mainly empirical. In this paper, we first investigate the effect of sample size from a theoretical perspective. By analyzing the (1+1)-EA on the noisy LeadingOnes problem, we show that as the sample size increases, the running time can reduce from exponential to polynomial, but then return to exponential. This suggests that a proper sample size is crucial in practice. Then, we investigate what strategies can work when sampling with any fixed sample size fails. By two illustrative examples, we prove that using parent or offspring populations can be better. Finally, we construct an artificial noisy example to show that when using neither sampling nor populations is effective, adaptive sampling (i.e., sampling with an adaptive sample size) can work. This, for the first time, provides a theoretical support for the use of adaptive sampling

    Forced Oscillation Source Location via Multivariate Time Series Classification

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    Precisely locating low-frequency oscillation sources is the prerequisite of suppressing sustained oscillation, which is an essential guarantee for the secure and stable operation of power grids. Using synchrophasor measurements, a machine learning method is proposed to locate the source of forced oscillation in power systems. Rotor angle and active power of each power plant are utilized to construct multivariate time series (MTS). Applying Mahalanobis distance metric and dynamic time warping, the distance between MTS with different phases or lengths can be appropriately measured. The obtained distance metric, representing characteristics during the transient phase of forced oscillation under different disturbance sources, is used for offline classifier training and online matching to locate the disturbance source. Simulation results using the four-machine two-area system and IEEE 39-bus system indicate that the proposed location method can identify the power system forced oscillation source online with high accuracy.Comment: 5 pages, 3 figures. Accepted by 2018 IEEE/PES Transmission and Distribution Conferenc

    Future prospects of mass-degenerate Higgs bosons in the CPCP-conserving two-Higgs-doublet model

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    The scenario of two mass-degenerate Higgs bosons within the general two-Higgs-doublet model (2HDM) is revisited. We focus on the global picture when two CPCP-even Higgs bosons of hh and HH are nearly mass-degenerate. A global fit to the signal strength of the 125 GeV Higgs measured at the LHC is performed. Based on the best-fit result of the 2HDM mixing angles (α,β)(\alpha,\beta), theoretical constraints, charged and CPCP-odd Higgs boson direct search constraints and the electroweak precision constraints are imposed to the 2HDM parameter space. We present the signal predictions of the (4b ,2b 2γ)(4b\,, 2b\,2\gamma) channels for the benchmark models at the LHC 14 TeV runs. We also study the direct Higgs boson pair productions at the LHC, and the Z-associated Higgs boson pair production search at the ILC 500 GeV runs, as well as the indirect probes at the CEPC 250 GeV run. We find that the mass-degenerate Higgs boson scenario in the Type-II 2HDM can be fully probed by these future experimental searches.Comment: 31 pages, 9 figures, 5 tables, matches with the PRD published versio

    Envelope Expansion with Core Collapse. III. Similarity Isothermal Shocks in a Magnetofluid

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    We explore MHD solutions for envelope expansions with core collapse (EECC) with isothermal MHD shocks in a quasi-spherical symmetry and outline potential astrophysical applications of such magnetized shock flows. MHD shock solutions are classified into three classes according to the downstream characteristics near the core. Class I solutions are those characterized by free-fall collapses towards the core downstream of an MHD shock, while Class II solutions are those characterized by Larson-Penston (LP) type near the core downstream of an MHD shock. Class III solutions are novel, sharing both features of Class I and II solutions with the presence of a sufficiently strong magnetic field as a prerequisite. Various MHD processes may occur within the regime of these isothermal MHD shock similarity solutions, such as sub-magnetosonic oscillations, free-fall core collapses, radial contractions and expansions. We can also construct families of twin MHD shock solutions as well as an `isothermal MHD shock' separating two magnetofluid regions of two different yet constant temperatures. The versatile behaviours of such MHD shock solutions may be utilized to model a wide range of astrophysical problems, including star formation in magnetized molecular clouds, MHD link between the asymptotic giant branch phase to the proto-planetary nebula phase with a hot central magnetized white dwarf, relativistic MHD pulsar winds in supernova remnants, radio afterglows of soft gamma-ray repeaters and so forth.Comment: 21 pages, 33 figures, accepted by MNRA
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