Institution
China Jiliang University
Education•Hangzhou, China•
About: China Jiliang University is a education organization based out in Hangzhou, China. It is known for research contribution in the topics: Fiber optic sensor & Optical fiber. The organization has 9291 authors who have published 8932 publications receiving 95279 citations. The organization is also known as: China Institute of Metrology.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the conformation of Eu2+ and Eu3+ dual-emitting centers in Ca9Mg1.5(PO4)7 host was veritied by X-ray photoelectron spectroscopy, photoluminescence spectra and decay curves.
35 citations
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06 Jul 2013TL;DR: A novel tilted fiber Bragg grating-based magnetic field sensor by incorporating magnetic fluid is proposed and experimentally demonstrated, based on the refractive index change of magnetic fluid with external magnetic field.
Abstract: A novel tilted fiber Bragg grating (TFBG)-based magnetic field sensor by incorporating magnetic fluid is proposed and experimentally demonstrated. It is based on the refractive index change of magnetic fluid with external magnetic field. Magnetic field strength measurement is successfully achieved within a range from 0 to 196 Gauss by monitoring extinction ratio of the TFBG's cladding mode resonance, which is sensitive to surrounding refractive index.
35 citations
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TL;DR: Numerical simulations show that the CQGA is more efficient to find the optimal coefficients of fractional-order PID controller than GA, which has been successfully applied to heading control, diving control and path-following system of AUV on sea trial.
Abstract: Aiming to improve the performance of motion for autonomous underwater vehicle (AUV), a fractional-order PID strategy is proposed. It is a more generalized form for the conventional integer-order PID controller, keeping its simplicity and utilizing the generalized derivative and integral control actions. The fractional-order PID controller has been successfully applied to heading control, diving control and path-following system of AUV on sea trial. In addition, the fractional-order closed-loop system has proven to be stable. By comparing simulations and experiments, the satisfactory performance, such as overshoot, settling time and steady-state error, has been achieved. The cloud-model-based quantum genetic algorithm (CQGA) is employed to tune coefficients of fractional-order PID controller. The quantum bits and quantum superposition states avoid the pressure of selection and maintain the diversity of population in chromosome coding. Due to the randomness and stability tendency of cloud droplets, the cloud crossover operator and the cloud mutation operator can effectively overcome the shortcomings of premature and slow searching speed. Numerical simulations show that the CQGA is more efficient to find the optimal coefficients of fractional-order PID controller than GA.
35 citations
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TL;DR: In this article, a temperature sensor with an alcohol-filled sidehole fiber (SHF) based Sagnac interferometer is first proposed and experimentally demonstrated, which is about eight times higher than that of a fiber Bragg grating sensor.
Abstract: A temperature sensor with an alcohol-filled side-hole fiber (SHF) based Sagnac interferometer is first proposed and experimentally demonstrated. Due to the temperature-dependent refractive index of the alcohol liquid filled in the air holes of the SHF, interference pattern of the Sagnac interferometer shifts with temperature variation. Sensitivity of 86.8 pm/°C is achieved, which is about eight times higher than that of a fiber Bragg grating sensor.
35 citations
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TL;DR: In this paper, a particle swarm optimization (PSO) based UF-UFastSLAM algorithm was proposed for autonomous underwater vehicle (AUV) deployment in Tuandao Bay.
35 citations
Authors
Showing all 9388 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jianjun Liu | 112 | 1040 | 71032 |
Jinghong Li | 112 | 465 | 48474 |
Yong Sik Ok | 102 | 854 | 41532 |
Tao Li | 102 | 2483 | 60947 |
Jianbin Xu | 78 | 680 | 25491 |
Peng Xu | 75 | 1151 | 25005 |
Wei Jin | 71 | 929 | 21569 |
Changyu Shen | 70 | 905 | 23455 |
Jing Li | 68 | 982 | 18991 |
Hao Zhang | 67 | 792 | 29169 |
Bo Li | 63 | 1072 | 19969 |
Zhixiang Chen | 62 | 116 | 18630 |
Wei Liu | 61 | 664 | 16536 |
Tingli Ma | 61 | 326 | 14181 |
Lixian Sun | 59 | 642 | 13690 |