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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
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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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Wang, Zhongkai (author), Choi, Minsoo (author), Wright, John (author), Lee, Kyoungtae (author), Liu, Zhaokai (author), Yin, Bozhi (author), Han, Jaeduk (author), Du, S. (author), Alon, Elad (author)
We present a ring-oscillator-based sub-sampling phase-locked loop (PLL) using a generator-based design flow. A hybrid loop with a delta-sigma ($\Delta \Sigma$) modulator is applied to reduce the loop filter (LF) area and the control ripple. The generator automatically produces the ring oscillator and PLL to meet the provided specifications. The...
conference paper 2022
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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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Malinowski, F.K. (author), Han, L. (author), de Jong, D. (author), Wang, Ji Yin (author), Prosko, C.G. (author), Krogstrup, Peter (author), Bakkers, Erik P.A.M. (author), Kouwenhoven, Leo P. (author), Koski, Jonne V. (author)
We demonstrate the use of radio-frequency (rf) resonators to measure the capacitance of nanoscale semiconducting devices in field-effect transistor configurations. The rf resonator is attached to the gate or the lead of the device. Consequently, tuning the carrier density in the conducting channel of the device affects the resonance frequency...
journal article 2022
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Han, Li (author), Wang, Yan (author), Ao, Yibin (author), Ding, Xuan (author), Li, Mingyang (author), Wang, T. (author)
Introduction: Rural roads and built environment in China have been developed enormously, but it is not clear whether these roads fulfill the needs of school children as they need to travel long to school every day.<br/><br/>Objective: It is crucial to understand the influencing factors of their travel mode choices to better design future country...
journal article 2022
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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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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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Shao, Pengfei (author), Ma, C. (author), Han, Daoyang (author), Liu, Kun (author), Li, Mingliang (author), Liang, Yi (author), Yao, Meng (author), Wang, Hailong (author), Zhang, Rui (author), Shao, Gang (author)
Temperature sensors that can operate in high-temperature and harsh environments are highly desired. However, this is a great challenge for sensing materials to operate under extreme working conditions because of oxidation and/or corrosion at high temperature. In this study, polymer-derived SiAlCN ceramics were prepared as sensing materials to...
journal article 2022
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Zhong, Junping (author), Liu, Zhigang (author), Wang, H. (author), Liu, Wenqiang (author), Yang, Cheng (author), Han, Zhiwei (author), Nunez, Alfredo (author)
Brace sleeve (BS) fasteners, i.e., nut and bolt, are small components but play essential roles in fixing BS and cantilever in railway catenary system. They are commonly inspected by onboard cameras using computer vision to ensure the safety of railway operation. However, most BS fasteners cannot be directly localized because they are too...
journal article 2021
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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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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
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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
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Han, Minghao (author), Tian, Yuan (author), Zhang, Lixian (author), Wang, J. (author), Pan, W. (author)
Reinforcement learning (RL) is promising for complicated stochastic nonlinear control problems. Without using a mathematical model, an optimal controller can be learned from data evaluated by certain performance criteria through trial-and-error. However, the data-based learning approach is notorious for not guaranteeing stability, which is...
journal article 2021
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Han, Jing (author), Ma, Shengqian (author), Wang, Yujie (author), Leus, G.J.T. (author)
Orthogonal signal-division multiplexing (OSDM) is an attractive alternative to conventional orthogonal frequency-division multiplexing (OFDM) due to its enhanced ability in peak-to-average power ratio (PAPR) reduction. Combining OSDM with multiple-input multiple-output (MIMO) signaling has the potential to achieve high spectral and power...
journal article 2020
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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 (CO<sub>2</sub>) 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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Han, Jing (author), Wang, Yujie (author), Gong, Zehui (author), Leus, G.J.T. (author)
Orthogonal signal-division multiplexing (OSDM) has recently emerged as a promising alternative to orthogonal frequency division multiplexing (OFDM) for high-rate wireless communications. Although providing more flexibility in system design, it suffers from a special interference structure, namely inter-vector interference (IVI), when channel...
journal article 2020
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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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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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Hao, Lixiao (author), Xing, Yue (author), Li, Xuanyu (author), Mu, Bin (author), Zhao, Weina (author), Wang, G. (author), Wang, Ting (author), Jia, Jianguo (author), Han, Ying (author)
Background: Since subjective cognitive decline (SCD) was standardized in 2014, many studies have investigated its features. However, the risk of SCD (plus) progressing to AD is much higher, and yet there have been few studies reporting the risk factors and neuropsychological assessment characteristics of SCD (plus). Objective: To characterize...
journal article 2019
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