lvriqing
|
- Associate professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):lvriqing
- Date of Birth:1985-05-06
- E-Mail:
- Date of Employment:2014-04-01
- Education Level:With Certificate of Graduation for Doctorate Study
- Business Address:信息学馆515
- Contact Information:13840158745
- Degree:博士
- Professional Title:Associate professor
- Status:Employed
- Alma Mater:东北大学
- Teacher College:信息科学与工程学院
Contact Information
- ZipCode：
- PostalAddress：
- Telephone：
- Email：
- Paper Publications
- Y.-N. Zhang, Y. Zhao, and R.-Q. Lv, “A review for optical sensors based on photonic crystal cavities,” Sensors Actuators A. Phys., vol. 233, pp. 374–389, 2015..
- Y. Zhao, R. Lv, Y. Ying, and Q. Wang, “Hollow-core photonic crystal fiber Fabry–Perot sensor for magnetic field measurement based on magnetic fluid,” Opt. Laser Technol., vol. 44, no. 4, pp. 899–902, Jun. 2012..
- Y. Zhao and R. Lv, “Tunable methods of long period fiber gratings,” J. Optoelectron. Adv. Mater., vol. 13, no. 7, pp. 837–844, 2011..
- Y. Zhao, Y. Zhang, R. Lv, and Q. Wang, “Novel optical devices based on the tunable refractive index of magnetic fluid and their characteristics,” J. Magn. Magn. Mater., vol. 323, no. 23, pp. 2987–2996, 2011..
- 吴迪, 赵勇, 吕日清, and 英宇, “磁流体的折射率可调谐特性分析,” 东北大学学报, vol. 35, no. 7, pp. 1–4, 2014..
- R. Lv and Y. Zhao, “Peak Search Method for the Optical Spectrum Signals,” in 2013 International Symposium on Optomechatronic Technologies, 2013, pp. 1–7..
- R. Lv, Y. Zhao, N. Xu, and H. Li, “Research on the microstructure and transmission characteristics of magnetic fluids film based on the Monte Carlo method,” J. Magn. Magn. Mater., vol. 337–338, pp. 23–28, 2013..
- Y. Zhao, D. Wang, and R. Lv, “A Novel Optical Fiber Temperature Sensor Based on Fabry-Perot Cavity,” Microw. Opt. Technol. Lett., vol. 55, no. 10, pp. 2487–2490, Oct. 2013..
- Y. Zhao, R. Lv, Y. Zhang, and Q. Wang, “Novel optical devices based on the transmission properties of magnetic fluid and their characteristics,” Opt. Lasers Eng., vol. 50, no. 9, pp. 1177–1184, 2012..
- J. Li, R. Lv, and X. Zou, “Design and Research of Video Fire Detection System Based on FPGA,” in Control and Decision Conference, 2011, pp. 1677–1679..