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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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Jiang, Honglan (author), Liu, Leibo (author), Jonker, P.P. (author), Elliott, Duncan G. (author), Lombardi, Fabrizio (author), Han, Jie (author)
In this paper, a fixed-point finite impulse response adaptive filter is proposed using approximate distributed arithmetic (DA) circuits. In this design, the radix-8 Booth algorithm is used to reduce the number of partial products in the DA architecture, although no multiplication is explicitly performed. In addition, the partial products are...
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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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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Liu, Wenqiang (author), Liu, Zhigang (author), Li, Qiao (author), Han, Zhiwei (author), Nunez, Alfredo (author)
This article proposes an automatic high-precision detection method for structure parameters of catenary cantilever devices (SPCCDs) using 3-D point cloud data. The steps of the proposed detection method are: 1) segmenting and recognizing the components of the catenary cantilever devices, 2) extracting the detection plane and backbone...
journal article 2020
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Liu, W. (author), Liu, Zhigang (author), Nunez, Alfredo (author), Han, Z. (author)
With the rapid development of deep learning technologies, researchers have begun to utilize convolutional neural network (CNN)-based object detection methods to detect multiple catenary support components (CSCs). The literature has focused on the detection of specified large-scale CSCs. Additionally, CNN architectures have faced difficulties in...
journal article 2020
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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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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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Wang, Zhongkai (author), Choi, Minsoo (author), Lee, Kyoungtae (author), Park, Kwanseo (author), Liu, Zhaokai (author), Biswas, Ayan (author), Han, Jaeduk (author), Du, S. (author), Alon, Elad (author)
This article presents a 200-Gb/s pulse amplitude-modulation four-level (PAM-4) and 100-Gb/s non-return-to-zero (NRZ) transmitter (TX) in 28-nm CMOS technology. To achieve the target data rate, the output bandwidth and swing of the proposed TX are optimized by minimizing the output capacitance of the 4:1 multiplexer (MUX) and driver stage with...
journal article 2022
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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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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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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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Ding, J. (author), Han, Linyan (author), Ge, Ligang (author), Liu, Yizhang (author), Pang, Jianxin (author)
Robust locomotion is a challenging task for humanoid robots, especially when considering dynamic disturbances. This article proposes a disturbance observer-based cascaded model predictive control (MPC) approach for bipedal locomotion, with the capability of exploiting ankle, stepping, hip and height variation strategies. Specifically, based...
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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Guo, R. (author), Yuan, Peng (author), Han, Xiying (author), He, Xuexia (author), Lu, Jiangbo (author), Li, Qi (author), Dang, Liqin (author), Sun, Jie (author), Liu, Zonghuai (author), Lei, Zhibin (author)
The Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> film with metallic conductivity and high pseudo-capacitance holds profound promise in flexible high-rate supercapacitors. However, the restacking of Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> sheets hinders ion access to thick film electrodes. Herein, a mild yet green route has been developed to...
journal article 2022
document
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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Han, Yu (author), Hegyi, A. (author), Zhang, Le (author), He, Zhengbing (author), Chung, Edward (author), Liu, Pan (author)
Conventional reinforcement learning (RL) models of variable speed limit (VSL) control systems (and traffic control systems in general) cannot be trained in real traffic process because new control actions are usually explored randomly, which may result in high costs (delays) due to exploration and learning. For this reason, existing RL-based...
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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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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