Che-Yu Liu

Flex-Net: A Reconfigurable Optical Network for High Performance and Energy-Efficient HPC

Xianwei Cheng, Che-Yu Liu, Roberto Proietti, S. J. Ben Yoo

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Mitigating Deadtime Nonlinear Effect in SVPWM Using Variable DC-Link Voltage for High Switching Frequency SiC Motor Drives

David Lwo, Min‐Fu Hsieh, Yu Tsai, Junlin Wu et autres

The concept of this study is to set the DC bus voltage of the motor drive circuit as a control factor and explore the appropriate driving conditions for the motor control system using the space vector pulse width modulation method. The wide …

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Deep reinforcement learning-aided multi-step job scheduling in optical data center networks

Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, Zuqing Zhu et autres

Orchestrating job scheduling and topology reconfiguration in optical data center networks (ODCNs) is essential for meeting the intensive communication demand of novel applications, such as distributed machine learning (ML) workloads. However, this task involves joint optimization of multi-dimensional resources that can barely …

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A Cross-Modal Autoencoder for Contactless Electrocardiography Monitoring Using Frequency-Modulated Continuous Wave Radar

Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao, Che-Yu Liu et autres

While traditional electrocardiogram (ECG) monitoring provides vital clinical information, its electrode-based setup restricts patient movement. To address this limitation, contactless ECG monitoring using frequency-modulated continuous-wave (FMCW) radar and deep learning has been developed. However, such approaches face challenges owing to the limited …

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HPC Systems with Reconfigurable Optical Networks: Performance and Energy Consumption Exploration

Xianwei Cheng, Che-Yu Liu, Roberto Proietti, Sung Jong Yoo

In this work, we design a reconfigurable optical network and analyze its performance and energy consumption on a HPC system with scientific applications using the Structure Simulation Toolkit (SST). The results show a reduction in execution time by 28.7% for HPCG. Additionally, …

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A Protocol Implementation of Uploading Data on Real Time

Che-Yu Liu, Yen-Jen Chen

In recent years, the development of the Internet of Things and AI technology has enabled enterprises to maximize production benefits through data analysis. The correctness of data is very important in the process of AI training models. In the field of industrial …

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Downregulation of VEGFR2 signaling by cedrol abrogates VEGF‑driven angiogenesis and proliferation of glioblastoma cells through AKT/P70S6K and MAPK/ERK1/2 pathways

Kai‐Fu Chang, Che-Yu Liu, Ya‐Chih Huang, Chih‐Yen Hsiao et autres

, which has been traditionally used in aromatherapy and has anticancer, antibacterial and antihyperalgesic effects. One characteristic of glioblastoma (GB) is the overexpression of vascular endothelial growth factor (VEGF), which induces a high degree of angiogenesis. Although previous studies have reported that …

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Modular Optical Nodes with Anylane Add-Drop for Spatial Division Multiplexed Networks

Che-Yu Liu, David T. Neilson, Roland Ryf, S. J. Ben Yoo et autres

We compare anylane add-drop optical nodes with modular architectures for spatial-division multiplexed (SDM) networks. By modifying open-source GNPy for SDM, we present simulations that show lower blocking probability for networks that utilize anylane add-drop architectures.

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MAESTRO: MAke-bEfore-break StraTegy for Reconfiguration in Optical Datacenters

Sandeep Kumar Singh, Che-Yu Liu, Roberto Proietti, S. J. Ben Yoo

We present a MAke-bEfore-break StraTegy for Reconfiguration in Optical datacenters (MAESTRO). The simulation results show a reduction in packet loss by up to 98% compared to a baseline reconfiguration method.

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Modular Optical Nodes with Anylane Add-Drop for Spatial Division Multiplexed Networks

Che-Yu Liu, David T. Neilson, Roland Ryf, S. J. Ben Yoo et autres

We compare anylane add-drop optical nodes with modular architectures for spatial-division multiplexed (SDM) networks. By modifying open-source GNPy for SDM, we present simulations that show lower blocking probability for networks that utilize anylane add-drop architectures.

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MAESTRO: MAke-bEfore-break StraTegy for Reconfiguration in Optical Datacenters

Sandeep Kumar Singh, Che-Yu Liu, Roberto Proietti, S. J. Ben Yoo

We present a MAke-bEfore-break StraTegy for Reconfiguration in Optical datacenters (MAESTRO). The simulation results show a reduction in packet loss by up to 98% compared to a baseline reconfiguration method.

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Mortality evaluation and life expectancy prediction of patients with Hepatocellular carcinoma with data minding

Che-Yu Liu, Chen-Yang Cheng, Szu-Ying Yang, Jyh‐Wen Chai et autres

Abstract Background: The complexity of systemic variables and comorbidities make it difficult to determine the best treatment for patients with hepatocellular carcinoma (HCC). It is impossible to perform a multidimensional evaluation of every patient, but guidelines based on analyses of said complexities …

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