document

Luminescence of Ce3+ at two different sites in ?-Sr2P2O7 under vacuum ultraviolet-UV and x-ray excitation

Hou, D. (author), Han, B. (author), Chen, W. (author), Liang, H. (author), Su, Q. (author), Dorenbos, P. (author), Huang, Y. (author), Gao, Z. (author), Tao, Y. (author)

A series of Ce3+ doped ?-Sr2?2xCexNaxP2O7 phosphor compounds has been prepared using a high-temperature solid-state reaction technique. The luminescence properties under vacuum ultraviolet-UV and x-ray excitation were studied. Luminescence spectra reveal three UV-emitting peaks at about 310, 330, and 350 nm from which we conclude that Ce3+...

journal article 2010

document

Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network

Chen, Junwen (author), Liu, Zhigang (author), Wang, H. (author), Nunez, Alfredo (author), Han, Zhiwei (author)

The excitation and vibration triggered by the long-term operation of railway vehicles inevitably result in defective states of catenary support devices. With the massive construction of high-speed electrified railways, automatic defect detection of diverse and plentiful fasteners on the catenary support device is of great significance for...

journal article 2018

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Inverted pyramidally-textured PDMS antireflective foils for perovskite/silicon tandem solar cells with flat top cell

Hou, Fuhua (author), Han, C. (author), Isabella, O. (author), Yan, Lingling (author), Shi, Biao (author), Chen, Junfan (author), An, Sichong (author), Zeman, M. (author)

Perovskite/silicon tandem solar cells (TSCs) have the potential to achieve power conversion efficiency exceeding 30%. To be compatible with high-efficiency solution-deposited perovskite top cell, a planar front surface for silicon bottom cell is generally required. However, flat front surfaces result in large light reflection losses and thus...

journal article 2019

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SlimML: Removing Non- critical Input Data in Large-scale Iterative Machine Learning

Han, Rui (author), Liu, Chi Harold (author), Li, Shilin (author), Chen, Lydia Y. (author), Wang, Guoren (author), Tang, Jian (author), Ye, Jieping (author)

The core of many large-scale machine learning (ML) applications, such as neural networks (NN), support vector machine (SVM), and convolutional neural network (CNN), is the training algorithm that iteratively updates model parameters by processing massive datasets. From a plethora of studies aiming at accelerating ML, being data...

journal article 2019

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Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers

Han, Rui (author), Liu, Chi Harold (author), Zong, Zan (author), Chen, Lydia Y. (author), Liu, Wending (author), Wang, Siyi (author), Zhan, Jianfeng (author)

Cluster schedulers provide flexible resource sharing mechanism for best-effort cloud jobs, which occupy a majority in modern datacenters. Properly tuning a scheduler's configurations is the key to these jobs' performance because it decides how to allocate resources among them. Today's cloud scheduling systems usually rely on cluster operators...

journal article 2019

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Microwave roasting of blast furnace slag for carbon dioxide mineralization and energy analysis

Han, Zike (author), Gao, Jianqiu (author), Yuan, Xizhi (author), Zhong, Yanjun (author), Ma, Xiaodong (author), Chen, Z. (author), Luo, Dongmei (author), Wang, Ye (author)

For both the waste treatment of large quantities of blast furnace (BF) slag and carbon dioxide (CO₂) that are discharged in ironworks, mineral carbonation by BF slag was proposed in this decade. However, it has not been widely used due to its high energy consumption and low production efficiency. In this study, a microwave roasting...

journal article 2020

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Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G

Wang, Jin (author), Han, Hui (author), Li, H. (author), He, Shiming (author), Sharma, Pradip Kumar (author), Chen, Lydia Y. (author)

Due to high capacity and fast transmission speed, 5G plays a key role in modern electronic infrastructure. Meanwhile, sparse tensor factorization (STF) is a useful tool for dimension reduction to analyze high-order, high-dimension, and sparse tensor (HOHDST) data, which is transmitted on 5G Internet-of-things (IoT). Hence, HOHDST data relies...

journal article 2021

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New innovations in pavement materials and engineering: A review on pavement engineering research 2021

Chen, Jiaqi (author), Dan, Hancheng (author), Ding, Yongjie (author), Gao, Y. (author), Guo, Meng (author), Guo, Shuaicheng (author), Han, Bingye (author), Hong, Bin (author), Hou, Yue (author), Hu, Chichun (author), Hu, Jing (author), Huyan, Ju (author), Jiang, Jiwang (author), Jiang, Wei (author), Li, Cheng (author), Liu, Pengfei (author), Liu, Yu (author), Liu, Zhuangzhuang (author), Lu, Guoyang (author), Ouyang, Jian (author), Qu, Xin (author), Ren, Dongya (author), Wang, Chao (author), Wang, Chaohui (author), Wang, Dawei (author), Wang, Di (author), Wang, Hainian (author), Wang, Haopeng (author), Xiao, Yue (author), Xing, Chao (author), Xu, Huining (author), Yan, Yu (author), Yang, Xu (author), You, Lingyun (author), You, Zhanping (author), Yu, Bin (author), Yu, Huayang (author), Yu, Huanan (author), Zhang, Henglong (author), Zhang, Jizhe (author), Zhou, Changhong (author), Zhou, Changjun (author), Zhu, Xingyi (author)

Sustainable and resilient pavement infrastructure is critical for current economic and environmental challenges. In the past 10 years, the pavement infrastructure strongly supports the rapid development of the global social economy. New theories, new methods, new technologies and new materials related to pavement engineering are emerging....

review 2021

document

Knitting 4D garments with elasticity controlled for body motion

Liu, Z. (author), Han, Xingjian (author), Zhang, Yuchen (author), Chen, Xiangjia (author), Lai, Y. (author), Doubrovski, E.L. (author), Whiting, Emily (author), Wang, C.C. (author)

In this paper, we present a new computational pipeline for designing and fabricating 4D garments as knitwear that considers comfort during body movement. This is achieved by careful control of elasticity distribution to reduce uncomfortable pressure and unwanted sliding caused by body motion. We exploit the ability to knit patterns in...

journal article 2021

document

Hydration behaviour of magnesium ammonium phosphate cement and stability analysis of its hydration products through thermodynamic modelling

Han, Weiwei (author), Chen, Huisu (author), Zhang, Tao (author)

Magnesium ammonium phosphate cement (MAPC) has been commonly applied in civil engineering. However, the analysis of hydration behavior and composition of solid assemblages still needs further exploration. From thermodynamic simulation, it is shown that the molar ratio between MgO and NH4H2PO4 (M/P ratio) determines the final composition of...

conference paper 2021

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The Impact of Public Opinion Pressure on Construction Company Green Innovations: The Mediating Effect of Leaders' Environmental Intention and the Moderating Effect of Environmental Regulation

Wang, Bo (author), Han, Shan (author), Ao, Yibin (author), Liao, Fangwei (author), Wang, T. (author), Chen, Yunfeng (author)

Media has paid more attention recently on environmental issues caused by construction companies which imposes public opinion pressure on construction companies and could potentially impact their decision-making processes for green innovations. However, research on the relationship between public opinions pressure and construction company green...

journal article 2022

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Large Region Targets Observation Scheduling by Multiple Satellites Using Resampling Particle Swarm Optimization

Gu, Yi (author), Han, Chao (author), Chen, Yuhan (author), Liu, Shenggang (author), Wang, X. (author)

The last decades have witnessed a rapid increase of Earth observation satellites (EOSs), leading to the increasing complexity of EOSs scheduling. On account of the widespread applications of large region observation, this article aims to address the EOSs observation scheduling problem for large region targets. A rapid coverage calculation...

journal article 2022

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An online data driven fault diagnosis and thermal runaway early warning for electric vehicle batteries

Sun, S.Z. (author), Wang, Zhenpo (author), Liu, Peng (author), Qin, Z. (author), Chen, Yong (author), Han, Yang (author), Wang, Peng (author), Bauer, P. (author)

Battery fault diagnosis is crucial for stable, reliable, and safe operation of electric vehicles, especially the thermal runaway early warning. Developing methods for early failure detection and reducing safety risks from failing high energy lithium-ion batteries has become a major challenge for industry. In this article, a real-time early...

journal article 2022

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Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge

Zhao, Jianxin (author), Han, Rui (author), Yang, Yongkai (author), Catterall, Benjamin (author), Liu, Chi Harold (author), Chen, Lydia Y. (author), Mortier, Richard (author), Crowcroft, Jon (author), Wang, Liang (author)

With the massive amount of data generated from mobile devices and the increase of computing power of edge devices, the paradigm of Federated Learning has attracted great momentum. In federated learning, distributed and heterogeneous nodes collaborate to learn model parameters. However, while providing benefits such as privacy by design and...

journal article 2022

document

Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai-Tibet Plateau

Gao, Hongkai (author), Han, Chuntan (author), Chen, Rensheng (author), Feng, Zijing (author), Wang, Kang (author), Fenicia, Fabrizio (author), Savenije, Hubert (author)

Increased attention directed at frozen soil hydrology has been prompted by climate change. In spite of an increasing number of field measurements and modeling studies, the impact of frozen soil on hydrological processes at the catchment scale is still unclear. However, frozen soil hydrology models have mostly been developed based on a bottom...

journal article 2022

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EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources

Han, Rui (author), Wen, Shilin (author), Liu, Chi Harold (author), Yuan, Ye (author), Wang, Guoren (author), Chen, Lydia Y. (author)

Edge-cloud jobs are rapidly prevailing in many application domains, posing the challenge of using both resource-strenuous edge devices and elastic cloud resources. Efficient resource allocation on such jobs via scheduling algorithms is essential to guarantee their performance, e.g. latency. Deep reinforcement learning (DRL) is increasingly...

conference paper 2022

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Lightweight and Accurate DNN-Based Anomaly Detection at Edge

Zhang, Qinglong (author), Han, Rui (author), Xin, Gaofeng (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)

Deep neural networks (DNNs) have been showing significant success in various anomaly detection applications such as smart surveillance and industrial quality control. It is increasingly important to detect anomalies directly on edge devices, because of high responsiveness requirements and tight latency constraints. The accuracy of DNN-based...

journal article 2022

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Determinants of villagers’ satisfaction with post-disaster reconstruction: Evidence from surveys ten years after the Wenchuan earthquake

Ao, Yibin (author), Zhong, Jinglin (author), Zhang, Zijun (author), Han, Lili (author), Wang, Yan (author), Chen, Yunfeng (author), Wang, T. (author)

Residents’ satisfaction with post-disaster reconstruction in earthquake-stricken areas directly affects their quality of life, which cannot be ignored in post-disaster reconstruction. More than 10 years after the Wenchuan earthquake, we took ten randomly selected villages in the five areas hardest-hit by the Wenchuan earthquake as research...

journal article 2022

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A Self-Bias-Flip with Charge Recycle Interface Circuit with No External Energy Reservoir for Piezoelectric Energy Harvesting Array

Li, Zhen (author), Chen, Zhiyuan (author), Wang, Jing (author), Wang, Jiawei (author), Jiang, Junmin (author), Du, S. (author), Cheng, Xu (author), Zeng, Xiaoyang (author), Han, Jun (author)

This article presents a piezoelectric energy harvesting (PEH) interface circuit using a new self-bias-flip with the charge recycle (SBFR) technique without employing any additional energy reservoir. Traditional designs, including synchronous-switch harvesting on inductor (SSHI), synchronous-switch harvesting on capacitor (SSHC), synchronous...

journal article 2023

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Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs

Wen, Shilin (author), Han, Rui (author), Liu, Chi Harold (author), Chen, Lydia Y. (author)

Edge-cloud applications are rapidly prevailing in recent years and pose the challenge of using both resource-strenuous edge devices and elastic cloud resources under dynamic workloads. Efficient resource allocation on edge-cloud jobs via cluster schedulers (e.g. Kubernetes/Volcano scheduler) is essential to guarantee their performance, e.g....

journal article 2023