document

Noise temperature and beam pattern of an NbN hot electron bolometer mixer at 5.25 THz

Zhang, W. (author), Khosropanah, P. (author), Gao, J.R. (author), Bansal, T. (author), Klapwijk, T.M. (author), Miao, W. (author), Shi, S.C. (author)

We report the measured sensitivities of a superconducting NbN hot electron bolometer (HEB) heterodyne receiver at 5.25 THz. Terahertz (THz) radiation is quasioptically coupled to a HEB mixer with a lens and a spiral antenna. Using a measurement setup with black body calibration sources and a beam splitter in vacuo, and an antireflection coated...

journal article 2010

document

NbN hot electron bolometer mixer at 5.3 THz

Zhang, W. (author), Gao, J.R. (author), Khosropanah, P. (author), Bansal, T. (author), Klapwijk, T.M. (author), Miao, W. (author), Shi, S.C. (author)

We report the sensitivity of a superconducting NbN hot electron bolometer mixer integrated with a tight spiral antenna at 5.3 THz. Using a measurement setup with black body calibration sources and a beam splitter in vacuo, and an antireflection coated Si lens, we obtained a double sideband receiver noise temperature of 1150 K, which is 4.5 times...

conference paper 2010

document

Risk analysis on cascade breaching of the Tangjiashan landslide dam and two smaller downstream landslide dams

Zhu, Y. (author), Peng, M. (author), Shi, Z. (author), Zhang, L. (author)

The 2008 Mw 7.9 Wenchuan earthquake triggered at least 257 landslide dams, most of which formed in series along rivers. The failure of an upstream dam could cause the failure of dams downstream one after another. The cascade dam breaching may result in sharp increase of flood and more serious damage downstream. This paper aims to analyze the...

conference paper 2015

document

A plasmonic spanner for metal particle manipulation

Zhang, Y. (author), Shi, W. (author), Shen, Z. (author), Man, Z. (author), Min, C. (author), Shen, J. (author), Zhu, S. (author), Urbach, H.P. (author), Yuan, X. (author)

Typically, metal particles are difficult to manipulate with conventional optical vortex (OV) tweezers, because of their strong absorption and scattering. However, it has been shown that the vortex field of surface plasmonic polaritons, called plasmonic vortex (PV), is capable of stable trapping and dynamic rotation of metal particles, especially...

journal article 2015

document

Erosion potential of the Yangtze Delta under sediment starvation and climate change

Yang, H. F. (author), Yang, S. L. (author), Xu, K. H. (author), Wu, H. (author), Shi, B. W. (author), Zhu, Q. (author), Zhang, W. X. (author), Yang, Z. (author)

Deltas are widely threatened by sediment starvation and climate change. Erosion potential is an important indicator of delta vulnerability. Here, we investigate the erosion potential of the Yangtze Delta. We found that over the past half century the Yangtze's sediment discharge has decreased by 80% due to the construction of >50,000 dams...

journal article 2017

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Multityped Community Discovery in Time-Evolving Heterogeneous Information Networks Based on Tensor Decomposition

Wu, Jibing (author), Yu, Lianfei (author), Zhang, Qun (author), Shi, P. (author), Liu, Lihua (author), Deng, Su (author), Huang, Hongbin (author)

The heterogeneous information networks are omnipresent in real-world applications, which consist of multiple types of objects with various rich semantic meaningful links among them. Community discovery is an effective method to extract the hidden structures in networks. Usually, heterogeneous information networks are time-evolving, whose objects...

journal article 2018

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The application model of 3D cadastre in practical registration for real estate in China

Zhang, Jiyi (author), Li, Gang (author), Liu, Youzhi (author), Yin, Pengcheng (author), Yu, Jinyu (author), Shi, Zhifeng (author)

Since the introduction of the concept of 3D cadastre, a great many of significant research results have been done. To promote the development of 3D cadatre, 3D cadastre working group sponsored by International Federation Surveyors (FIG) commissions 3 and 7 was organized by Delft University of Technology in 2001. This working group provides a...

conference paper 2018

document

Degree-biased random walk for large-scale network embedding

Zhang, Yunyi (author), Shi, Zhan (author), Feng, Dan (author), Zhan, X. (author)

Network embedding aims at learning node representation by preserving the network topology. Previous embedding methods do not scale for large real-world networks which usually contain millions of nodes. They generally adopt a one-size-fits-all strategy to collect information, resulting in a large amount of redundancy. In this paper, we propose...

journal article 2019

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Scenario-based extreme flood risk of residential buildings and household properties in Shanghai

Shan, Xinmeng (author), Wen, Jiahong (author), Zhang, Min (author), Wang, Luyang (author), Ke, Q. (author), Li, Weijiang (author), Du, Shiqiang (author), Shi, Yong (author), Chen, Kun (author)

Extreme flooding usually causes huge losses of residential buildings and household properties, which is critical to flood risk analysis and flood resilience building in Shanghai. We developed a scenario-based multidisciplinary approach to analyze the exposure, losses and risks of residential buildings and household properties, and their...

journal article 2019

document

Coupled discrete-continuum approach for railway ballast track and subgrade macro-meso analysis

Shi, Can (author), Zhao, Chunfa (author), Zhang, Xu (author), Guo, Y. (author)

This paper presents a multi-layer railway ballast track and substructure model, where a coupled discrete and continuous method is used for macro-meso dynamic behaviour analysis under moving wheel loads. In this coupled model, the discrete element method (DEM) is utilised to build the superstructure of the ballast track (i.e. rail, fastener,...

journal article 2020

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Macro-meso dynamic analysis of railway transition zone: Hybrid DEM/FDM simulation and experimental validation

Shi, Can (author), Zhao, Chunfa (author), Yang, Yang (author), Guo, Y. (author), Zhang, Xu (author), Feng, Yang (author)

To probe into the mechanical behaviour of railway transition zone from the macro-meso aspects, a numerical model of transition zone is built that hybrids the Discrete Element Method (DEM) and Finite Difference Method (FDM). The DEM is utilised to simulate the ballast bed and sleeper, because it can consider the realistic ballast shapes and...

journal article 2020

document

Constructing dataset of classified drainage areas based on surface water-supply patterns in High Mountain Asia

Lu, Jieyu (author), Qiu, Yubao (author), Wang, Xingxing (author), Liang, Wenshan (author), Xie, Pengfei (author), Shi, Lijuan (author), Menenti, M. (author), Zhang, Dongshui (author)

The High Mountain Asia (HMA) region, ranging from the Hindu Kush and Tien Shan in the west to the Himalaya in the south with an altitude between 2000 and 8844 m, holds the largest reservoir of glaciers and snow outside Earth Polar Regions. In the last decades, numerous glaciers and lake areas there have undergone tremendous changes with water...

journal article 2020

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High-Silica CHA Zeolite Membrane with Ultra-High Selectivity and Irradiation Stability for Krypton/Xenon Separation

Wang, Xuerui (author), Zhou, Tao (author), Zhang, Ping (author), Yan, Wenfu (author), Li, Yongguo (author), Peng, Li (author), Veerman, Dylan (author), Shi, Mengyang (author), Gu, Xuehong (author), Kapteijn, F. (author)

Capture and storage of the long-lived ⁸⁵Kr is an efficient approach to mitigate the emission of volatile radionuclides from the spent nuclear fuel reprocessing facilities. However, it is challenging to separate krypton (Kr) from xenon (Xe) because of the chemical inertness and similar physical properties. Herein we prepared high...

journal article 2021

document

Analysis of Railway Ballasted Track Stiffness and Behavior with a Hybrid Discrete-Continuum Approach

Shi, Can (author), Zhao, Chunfa (author), Yang, Yang (author), Guo, Y. (author), Zhang, Xu (author)

Railway ballasted track stiffness is an important indicator to identify supporting condition that ensures that the facility is well designed and functioned. Although many studies have been performed on track stiffness based on experimental tests and finite-element methods, the factors influencing the track stiffness have not been completely...

journal article 2021

document

Influence of liquid-binder ratio on the performance of alkali-activated slag mortar with superabsorbent polymer

Yang, Zhengxian (author), Shi, Peng (author), Zhang, Yong (author), Li, Z. (author)

The influences of liquid-binder ratio and mixing sequence on the performance of superabsorbent polymer (SAP)-containing alkali-activated slag (AAS) mortar are investigated in this study. It is found that the SAP absorbs much less liquid in upper supernatant of AAS than in water. Mixing SAP with liquid first induces a larger absorption...

journal article 2022

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A multi-axis robot-based bioprinting system supporting natural cell function preservation and cardiac tissue fabrication

Zhang, Z. (author), Wu, Chenming (author), Dai, C. (author), Shi, Qingqing (author), Fang, G. (author), Xie, Dongfang (author), Zhao, Xiangjie (author), Liu, Yong Jin (author), Wang, C.C. (author), Wang, Xiu Jie (author)

Despite the recent advances in artificial tissue and organ engineering, how to generate large size viable and functional complex organs still remains as a grand challenge for regenerative medicine. Three-dimensional bioprinting has demonstrated its advantages as one of the major methods in fabricating simple tissues, yet it still faces...

journal article 2022

document

The influencing factors of evaporation residue of emulsified modified asphalt to optimize the environmental adaptability

Lin, Yan (author), Qian, Chengduo (author), Shi, Jingtao (author), Zhang, Yuzhen (author), Ren, S. (author), Nan, Guozhi (author), Kong, Xiangjun (author), Fan, Weiyu (author)

Compared with traditional asphalt, emulsified asphalt occurs to be a better low-temperature usability and environmental adaptability, which can reduce environmental pollution and energy consuming during road construction. The low-temperature ductility is a very important indicator to evaluate the environmental adaptability of emulsified asphalt....

journal article 2022

document

Effect of superabsorbent polymer introduction on properties of alkali-activated slag mortar

Yang, Zhengxian (author), Shi, Peng (author), Zhang, Yong (author), Li, Z. (author)

Internal curing by superabsorbent polymer (SAP) has been applied in alkali-activated slag (AAS) systems by a few previous studies with the purpose to mitigate the autogenous shrinkage. However, the effects of SAP on other properties of AAS have been rarely studied. In this paper, the workability, strength, permeability, and frost resistance...

journal article 2022

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Real-time pipeline leak detection and localization using an attention-based LSTM approach

Zhang, Xinqi (author), Shi, Jihao (author), Yang, M. (author), Huang, Xinyan (author), Usmani, Asif Sohail (author), Chen, Guoming (author), Fu, Jianmin (author), Huang, Jiawei (author), Li, Junjie (author)

Long short-term memory (LSTM) has been widely applied to real-time automated natural gas leak detection and localization. However, LSTM approach could not provide the interpretation that this leak position is localized instead of other positions. This study proposes a leakage detection and localization approach by integrating the attention...

journal article 2023

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Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data

Zhang, Xinqi (author), Shi, Jihao (author), Huang, Xinyan (author), Xiao, Fu (author), Yang, M. (author), Huang, Jiawei (author), Yin, Xiaokang (author), Sohail Usmani, Asif (author), Chen, Guoming (author)

Deep learning has been widely applied to automated leakage detection and location of natural gas pipe networks. Prevalent deep learning approaches do not consider the spatial dependency of sensors, which limits leakage detection performance. Graph deep learning is a promising alternative to prevailing approaches as it can model spatial...

journal article 2023