Surrogate models are widely used in engineering design and optimization to substitute computationally expensive simulations for efficient approximation of system behaviours. However, since actual behaviours usually not known a priori, it is very challenging select the most appropriate surrogate model specific application. To tackle this, ensemble that combine different have been developed based on global measures local respectively. This article proposes novel surrogates take advantage both...

Selective adsorption of ethane (C2H6) from mixtures containing ethylene (C2H4) is interest for the direct production high purity C2H4. However, extremely similar molecular properties these gases make this process challenging, particularly at elevated temperatures, an implication saved energy consumption. To address such challenge, we present a new approach regulating temperature-dependent dynamics in hydrogen-bonded interpenetrated frameworks. As single H-bond linked porous framework,...

Selective adsorption of ethane (C2H6) from mixtures containing ethylene (C2H4) is interest for the direct production high purity C2H4. However, extremely similar molecular properties these gases make this process challenging, particularly at elevated temperatures, an implication saved energy consumption. To address such challenge, we present a new approach regulating temperature‐dependent dynamics in hydrogen‐bonded interpenetrated frameworks. As single H‐bond linked porous framework,...

Light olefins, such as ethylene (C2H4) and propylene (C3H6), are essential feedstocks for the production of chemical products. However, current purification strategy distillation is energy-intensive results in...

Muyu Zhang, Vanessa Wei Feng, Bing Qin, Graeme Hirst, Ting Liu, Jingwen Huang. Proceedings of the 2015 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies. 2015.

Abstract Polyvinylidene fluoride (PVDF) is a preeminent pyrolytic and piezoelectric polymer. It has been widely studied as an ideal material for wearable flexible sensors or low‐power electronic equipment. PVDF/ZnO thin films were prepared by direct writing method, which promoted the ordered arrangement of PVDF molecular chains under action electric field thus improved crystallinity β phase. Meanwhile, effects intercalation ZnO nanoparticles on explored. The results show that appropriate...

This paper presents a comprehensive study on determining the interface adhesive strength of polymer coating/substrate system to improve its durability. Interfacial stress intensity factors based crack tip opening displacement (CTOD) method were theoretically analysed and verified by finite element simulation. Thereafter, an experimental setup was established with micro-scale digital image correlation (DIC) measure CTODs designed loading fixture for multi-angle loading. The apparent specimen...

Structural damage detection methods using time domain vibration responses have shown appeal in recent years. In previous papers by the authors, inner product vector (IPV) was proposed as a algorithm which uses cross correlation functions between under white noise excitation or band pass excitation. The verified some simulative and experimental examples featuring single location. However, at multiple locations not considered. Therefore, this paper extends application of IPV-based structural...

Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Ting Liu. Proceedings of the 53rd Annual Meeting Association for Computational Linguistics and 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.

The deflection response characteristics of Ionic Polymer-Metal Composite (IPMC) cantilever actuator under Alternating Current (AC) excitations are investigated in the present work. A program based on numerical calculation platform MATLAB for Digital Image Correlation (DIC) analysis with multiple Regions Interest (ROI) is developed. can be used to study micro-scale dynamic lateral movement processes fabricated IPMC sample Pt electrodes, which recorded by a digital microscope. results indicate...

A damage index describing severity based on the Auto correlation function at Maximum point value Vector (AMV) is proposed for assessment as well locating described in this study. The detectability of AMV-based detection method compared with Mean Strain Energy (MSE) and Generalized Flexibility Matrix (GFM) method, to show its efficiency localizing simplicity conduct analysis. Moreover, a procedure estimate using sensitivity analysis introduced. stiffness reduction twelve-story shear frame...

Structural damage detection using time domain vibration responses has attracted more and researchers in recent years because of its simplicity calculation no requirement a finite element model. This paper proposes new approach to locate the auto correlation function response signals under sinusoidal excitation from different measurement points structure, based on which vector named Auto Correlation Function at Maximum Point Value Vector (AMV) is formulated. A sensitivity analysis normalized...

Accurately predicting the probabilities of user feedback, such as clicks and conversions, is critical for ad ranking bidding. However, there often exist unwanted mismatches between predicted true likelihoods due to shift data distributions intrinsic model biases. Calibration aims address this issue by post-processing predictions, field-aware calibration can adjust output on different feature field values satisfy fine-grained advertising demands. Unfortunately, observed samples corresponding...

Abstract Structural damage detection using vibration response signals is appealing in recent years since it does not require the identification of modal parameters or building structures' finite element model, among which correlation‐function‐based methodologies a novel topic [1]. Beginning with introduction correlation function theory, this paper proposes new strategy auto values structure. The maximum value functions responses from different measurement points are used to form index locate...