Zijian Zhao

ORCID: 0009-0002-4407-6667
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About
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Research Areas
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Memory and Neural Computing
  • Semiconductor materials and devices
  • Educational Technology and Pedagogy
  • Educational Technology and Assessment
  • Wood Treatment and Properties
  • Advanced Decision-Making Techniques
  • Digital Media and Visual Art
  • Acoustic Wave Phenomena Research
  • Masonry and Concrete Structural Analysis
  • Power System Reliability and Maintenance
  • Simulation and Modeling Applications
  • MXene and MAX Phase Materials
  • Machine Fault Diagnosis Techniques
  • Hand Gesture Recognition Systems
  • Metallic Glasses and Amorphous Alloys
  • Advanced Technologies in Various Fields
  • Gait Recognition and Analysis
  • Telecommunications and Broadcasting Technologies
  • Stellar, planetary, and galactic studies
  • Electric and Hybrid Vehicle Technologies
  • Additive Manufacturing Materials and Processes
  • Food Science and Nutritional Studies
  • Blockchain Technology Applications and Security
  • Adaptive optics and wavefront sensing

Yonsei University
2024

University of Notre Dame
2023-2024

University of Chinese Academy of Sciences
2024

Institute of High Energy Physics
2024

Chinese Academy of Sciences
2024

First Teaching Hospital of Tianjin University of Traditional Chinese Medicine
2024

Bucheon St. Mary's Hospital
2024

Catholic University of Korea
2024

Universidad de Zaragoza
2024

Lyceum of the Philippines University
2024

As an important equipment in the power system, operating state of transformers is related to safe operation entire system. It great importance determine transformer and take countermeasures advance. Dissolved gas analysis (DGA) one most common methods for evaluation oil-immersed transformer. Therefore, a time series forecasting model based on Seasonal Autoregressive Integrated Moving Average (SARIMA) presented forecast dissolved concentration oil this paper. Firstly, influence period...

10.1016/j.egyr.2022.03.020 article EN cc-by-nc-nd Energy Reports 2022-03-25

The enhanced x-ray timing and polarimetry mission (eXTP) is a flagship observatory for timing, spectroscopy developed by an international consortium. Thanks to its very large collecting area, good spectral resolution unprecedented capabilities, eXTP will explore the properties of matter propagation light in most extreme conditions found universe. will, addition, be powerful observatory. continuously monitor sky, enable multi-wavelength multi-messenger studies. currently phase B, which...

10.1117/12.2629340 article EN Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray 2022-09-02

Additive manufacturing allows for the fabrication of large-sized metallic glasses with complex geometries, which overcomes size limitation due to limited glass-forming ability. To investigate effect synthesis parameters on Mg-based glasses, Mg65Cu20Zn5Y10 was fabricated by laser-based powder bed fusion under different scanning speeds and laser powers. For high energy density, samples showed severe crystallization macrocracks, while low contained pore defects unfused powders....

10.3390/met12081318 article EN cc-by Metals 2022-08-05

As the key equipment in power system, running state of overhead transmission lines is affected by various complex and random factors, maintenance workload line too heavy to overhaul regularly. Therefore, it very necessary build a refined condition assessment system improve diagnosis accuracy efficiency lines. Recent years, State Grid Corporation China (SGCC) has recorded mass monitoring reports The natural language processing (NLP) with deep learning model provides an effective way extract...

10.1016/j.egyr.2023.04.357 article EN cc-by-nc-nd Energy Reports 2023-05-08

Abstract Non-volatile memories (NVMs) have the potential to reshape next-generation memory systems because of their promising properties near-zero leakage power consumption, high density and non-volatility. However, NVMs also face critical security threats that exploit non-volatile property. Compared volatile memory, capability retaining data even after down makes NVM more vulnerable. Existing solutions address issues are mainly based on Advanced Encryption Standard (AES), which incurs...

10.1038/s41467-023-43941-5 article EN cc-by Nature Communications 2023-12-13

Content addressable memory (CAM) is widely used in associative search tasks for its highly parallel pattern matching capability. To accommodate the increasingly complex and data-intensive tasks, it critical to keep improving CAM density enhance performance area efficiency. In this work, we demonstrate: i) a novel ultra-compact 1FeFET design that enables in-memory hamming distance calculation; ii) multi-bit exact using same cell; iii) compact device designs integrate series resistor current...

10.48550/arxiv.2203.07948 preprint EN other-oa arXiv (Cornell University) 2022-01-01

Bare mass timber structural slabs have relatively low impact sound insulation performance.Though certain floating floor assemblies on can provide adequate single number ratings, such are mainly effective in the middle to high frequency range.This study presents performance of raised discrete for slabs.The were composed elastomer blocks, materials, wood-based sheathing panels and concrete topping or cement boards.Impact tests conducted a mock-up building under different excitation sources...

10.52202/069179-0260 article EN 2023-01-01

Abstract For complex systems such as aerospace, remaining useful life (RUL) prediction is a general technique that provides information for decision-making in predictive maintenance. In the industrial field, RUL under time-varying operating conditions challenging task. this paper, an attention-based dual-channel deep neural network proposed to fuse conditions, with both channels using long short-term memory (LSTM) networks. First, features are extracted by one-dimensional convolutional...

10.1088/1742-6596/2386/1/012027 article EN Journal of Physics Conference Series 2022-12-01

Brain tumors are one of the deadliest cancers in world. Researchers have conducted a lot research work on brain tumor segmentation with good performance due to rapid development deep learning for assisting doctors diagnosis and treatment. However, most these methods cannot fully combine multiple feature information their performances need be improved. This study developed novel network fusing local features representing detailed information, global multi-scale enhancing model’s robustness...

10.3390/electronics11121911 article EN Electronics 2022-06-19

Mass timber buildings are gaining increasing popularity as a sustainable alternative to concrete and steel structures. panels, especially cross-laminated (CLT), often used floors due their dry fast construction. CLT has poor impact sound insulation performance its lightweight relatively high bending stiffness. Floating toppings applied increase both the airborne performance. However, of floating on structural is affected by thickness resilient interlayer. This study investigated efficiency...

10.3397/in-2021-3006 article EN NOISE-CON proceedings 2021-08-01

This study examined the relationship between non-attachment, meaning of life, and self-efficacy in 823 Chinese college students, using Non-Attachment Scale (NAS-7), Meaning Life Questionnaire (MLQ), General Self-Efficacy Inventory (GSE). Findings showed positive correlations, with non-attachment significantly predicting both life self-efficacy, indicating that higher leads to greater confidence goal achievement challenges. The was a significant mediator suggesting it boosts psychological...

10.37420/j.ssp.2024.004 article EN Deleted Journal 2024-02-26

This study seeks to enhance the entrepreneurial quality of college students by introducing advanced technologies such as deep learning and blockchain. A student majoring in electronic information at a university is research object. Based on background Internet Things blockchain technology, innovation entrepreneurship data platform for constructed. The results show that α values students’ background, professional ability, practical development ability are greater than 0.7. When determining...

10.3233/jcm-247547 article EN Journal of Computational Methods in Sciences and Engineering 2024-08-14

Insulin resistance (IR) is an independent predictor of atrial fibrillation (AF), but the specific utility triglyceride-glucose (TyG) index as a predictive marker for incidence AF in acute coronary syndrome (ACS) population has not yet been explored. To explore correlation between TyG and risk ACS patients to establish model. A retrospective study was conducted on 613 admitted Department Cardiovascular Medicine at First Teaching Hospital Tianjin University Traditional Chinese from January...

10.1186/s12872-024-04385-x article EN cc-by-nc-nd BMC Cardiovascular Disorders 2024-12-05

Buddhist art is an important way to illustrate thoughts. Among art, Apsaras Art extremely significant part of it. Simultaneously, it the essence Dunhuang Mogao Grottoes as well as. As known all, Art, artistic expression religious thoughts, its style bound be influenced by different social consciousness in times with little doubts. At same time, this influence will inevitably let creators make performance increasingly close mundane life, which more and line aesthetic standard them a...

10.26789/jwc.2019.01.002 article EN World Construction 2019-01-01

Realizing compact and scalable Ising machines that are compatible with CMOS-process technology is crucial to the effectiveness practicality of using such hardware platforms for accelerating computationally intractable problems. Besides need realizing spins, implementation coupling network, which describes spin interaction, also a potential bottleneck in scalability platforms. Therefore, this work, we propose an machine platform exploits novel behavior bi-stable CMOS-latches (cross-coupled...

10.48550/arxiv.2205.14729 preprint EN other-oa arXiv (Cornell University) 2022-01-01

The dynamic gesture track training based on HMM (hidden Markov model) is one of the key techniques in recognition. This paper adapts iteration algorithm Baum-Welch to train and do some research performance from times, sample number selection model initial value selection. experimental results show that very efficient recognition with spatio-temporal characteristic.

10.1109/iwvdvt.2005.1504578 article EN 2005-09-09

<p>In this work, we propose a 2TnC ferroelectric random access memory (FeRAM) cell design to realize the quasi- nondestructive readout (QNRO) of polarization (PFE) in capacitor, which can relax endurance requirement thin film and exploits benefits both FeRAM FET (FeFET). We demonstrate that: i) QNRO sensing PFE is conducted successfully experiment with ON/OFF ratio (ION/IOFF)>103, ION>10 μA, read endurance>106 cycles, by 106x; ii) optimization performance be realized tuning...

10.36227/techrxiv.22570033.v1 preprint EN cc-by 2023-04-10

<p>In this work, we propose a 2TnC ferroelectric random access memory (FeRAM) cell design to realize the quasi- nondestructive readout (QNRO) of polarization (PFE) in capacitor, which can relax endurance requirement thin film and exploits benefits both FeRAM FET (FeFET). We demonstrate that: i) QNRO sensing PFE is conducted successfully experiment with ON/OFF ratio (ION/IOFF)>103, ION>10 μA, read endurance>106 cycles, by 106x; ii) optimization performance be realized tuning...

10.36227/techrxiv.22570033 preprint EN cc-by 2023-04-10

Single-port ferroelectric FET (FeFET) that performs write and read operations on the same electrical gate prevents its wide application in tunable analog electronics suffers from disturb, especially to high-threshold voltage (VTH) state as retention energy barrier is reduced by applied bias. To address both issues, we propose adopt a disturb-free dual-port FeFET where performed featuring layer done separate non-ferroelectric dielectric. Combining unique structure gate, disturb eliminated...

10.48550/arxiv.2305.01484 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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