设为首页 | 加入收藏 |
师资力量

刘时尧 讲师

2026.05.18            浏览量:




学校:西安欧亚学院

学院:数据科学学院

专业:数据科学与大数据技术

职称职务:讲师


研究方向:导航授时技术、机器学习、长波气象学与大数据融合应用

所授课程:《离散数学》《数据科学导论》


个人简介:刘时尧,数据科学与大数据技术专业教师,西安交通大学信息与计算科学专业本科,中国科学院大学天体测量与天体力学专业博士,主讲课程《离散数学》、《数据科学导论》。曾就职于中国科学院国家授时中心,主要研究方向为授时方法与技术、无线电信号抗干扰技术、数字信号处理、人工智能与机器学习、大数据交叉学科应用。核心参与多项国家级、省部级、厅局级科研项目,累计发表论文16篇,其中SCI期刊6篇,EI源刊/会议9篇,CSCD收录1篇,授权发明专利4项。


科学研究:

(1) 学术论文

[1] Shiyao Liu, Baorong Yan, Wei Guo, et al. Research on ELoran Demodulation Algorithm Based on Multiclass Support Vector Machine. Remote Sens. 2024, 16(17), 3349. (SCI)

[2] Shiyao Liu, Baorong Yan, Yu Hua, et al. Phase Spectrum Smoothing Demodulation: A New Frontier in eLoran Signal Processing for Enhanced Performance. Remote Sens. 2024, 16(24), 4700. (SCI)

[3] Shiyao Liu; Wei Guo; Yu Hua; Wudian Kou ; ELoran Propagation Delay Prediction Model Based on a BP Neural Network for a Complex Meteorological Environment, Sensors, 2023, 23(11), 5176. (SCI)

[4] Tao Jin, Shiyao Liu, Baorong Yan, et al. A Meteorological Data-Driven eLoran Signal Propagation Delay Prediction Model: BP Neural Network Modeling for Long-Distance Scenarios. Remote Sens. 2025, 17, 2269.(SCI)

[5] Tao Jin, Shiyao Liu, Baorong Yan, et al. Research on Modeling Method of eLoran Signal Propagation Delay Prediction Model: Integrating Path-Weighted Meteorological Data and Propagation Delay Data in Long-Distance Scenarios. Big Data Cogn. Comput. 2026, 10, 54. (SCI)

[6] Xiangyi Wang, Baorong Yan, Tao Jin, Yun Li, Shifeng Li, Shiyao Liu. Enhanced Loran System Demodulation for Complex Receive Environments: A Novel Matched Correlation Method Integrating Notch Filtering and Pattern Modulation. Sensors 2026, 26, 666. (SCI)

[7] Xiang Jiang, Shiyao Liu, Tao Jin,et al. Propagation Delay Prediction Using BPNN Based on Multi-Path Meteorological Data and Its Generalization Performance[C]//2025 4th International Conference on Electronic Information Technology (EIT), Chengdu, China, 2025. (EI会议)

[8] Yi Liu, Yu Hua, Shifeng, Li, Shiyao Liu. Research on multi parameter estimation method of skywave interference based on eLoran system [C]//2024 3th International Conference on Signal Processing, Computer Networks and Communications (SPCNC), Sanya, China, 2024. (EI会议)

[9] Yun Zou, Yu Hua, Shiyao Liu. Power line time transfer technology based on LFM-OFDM and DS-OFDM modulation [C]//Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023). SPIE, 2023, 12799: 362-369. (EI会议)

[10] Yun Zou, Xinze Ma, Yu Hua and Shiyao Liu. Frequency diversity of the power line time service system [C]//Journal of Physics: Conference Series. IOP Publishing, 2023, 2584(1): 012127. (EI会议)

[11] Zihan Gao, Yu Hua, Xiaozhen Jin, Shiyao Liu and Lei Tang, End-to-End Delay Testing and Research on the Internet [C]//2023 3rd International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM), Chengdu, China, 2023, pp. 13-18. (EI会议)

[12]Z. Zhang, F. Zhu, X. Li, S. Liu and C. Liu, "Analysis of the Impact of Meteorological Factors Based on the MLP Correction Model on Long-wave Time Service System," 2025 IEEE 17th International Conference on Electronic Measurement & Instruments (ICEMI), Beijing, China, 2025, pp. 292-297. (EI会议)

[13] 刘时尧, 张首刚, 华宇. eLoran系统的GRI组合设计研究 [J]. 电子与信息学报,2022, 44(2). (EI源刊)

[14] 刘时尧,华宇,张首刚.基于天波重构技术的eLORAN信号周期识别算法[J].电子与信息学报, 2022, 44(10):10. (EI源刊)

[15] 刘时尧, 华宇, 张首刚. 针对eLoran系统窄带干扰的权函数陷波算法[J]. 电子与信息学报, 2023, 45(3):10. (EI源刊)

[16] 靳涛,燕保荣,梁凡,等.水声授时及相关技术的进展与展望[J].全球定位系统, 2025, 50(4):36. (CSCD收录)

(2) 科研项目

[1] 2018.09-至今,参与“十三五”国家重大科技基础设施建设项目——高精度地基授时系统,副主管设计师,在研。

[2] 2024-06至今,参与高精度地基授时系统国家重大科技基础设施关键技术研究(长波弱信号下的接收和信号处理新技术),在研。

[3] 2024-01至今,参与四川省科技厅青年科学基金项目——eLoran信号传播反演土壤墒情研究(2024NSFSC0841),在研。

[4] 2023-01至2024-12,参与四川省科技厅重点研发计划项目——气象因素对eLoran 高精度定位系统传播时延与定位误差影响研究(23ZDYF0290),乙方负责人,结题。

[5] 2023-07至2023-09,参与横向课题——面向异构系统的电力广域可信时间溯源认证与应用,结题。

[6] 2018-01至2022-12,参与委托研制项目——长波定时接收机研制,横向委托项目,结题。

[7] 2019-01至 2021-12,参与国家自然科学基金青年科学基金项目——基于多波段观测的长波高精度授时方法研究(11803040),结题。

[8] 2019-08至2025-12,参与西安市科技局科技计划项目——高精度地基授时系统关键技术研究(地基eLoran差分技术研究与试验验证),结题。

(3) 专利软著

[1] 刘时尧, 张首刚, 华宇. 基于天波重构的eLoran信号周期识别方法及装置: CN202110657728.1 [P].

[2] 刘时尧, 张首刚, 华宇. 一种针对eLoran信号带内干扰的WF-NF滤波算法: CN202111606742.5 [P].

[3] 刘时尧, 郭伟, 燕保荣,等. 一种针对eLoran信号的MSVM解调方法及计算机程序产品: 2024108187503 [P].

[4]刘时尧,郭伟,燕保荣,等.一种针对eLoran信号的MSVM解调方法及计算机程序产品: 202410818750 [P].


------- 友情链接 -------

学校地址:陕西省西安市雁塔区东仪路8号    


Copyright 2017 Xi'an Eurasia University , All Rights Reserved , 陕ICP备13005465-1