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Li J.,North University of China | Lu X.-T.,North University of China | Yang Z.-H.,Shanxi Finance and Taxation College
Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis | Year: 2014

In order to be able to quickly, to a wide range of natural gas pipeline leakage monitoring, the remote detection system for concentration of methane gas was designed based on static Fourier transform interferometer. The system used infrared light, which the center wavelength was calibrated to absorption peaks of methane molecules, to irradiated tested area, and then got the interference fringes by converging collimation system and interference module. Finally, the system calculated the concentration-path-length product in tested area by multi-wavelength characteristics spectrum analysis algorithm, furthermore the inversion of the corresponding concentration of methane. By HITRAN spectrum database, Selected wavelength position of 1.65 μm as the main characteristic absorption peaks, thereby using 1.65 μm DFB laser as the light source. In order to improve the detection accuracy and stability without increasing the hardware configuration of the system, solved absorbance ratio by the auxiliary wavelength, and then get concentration-path-length product of measured gas by the method of the calculation proportion of multi-wavelength characteristics. The measurement error from external disturbance is caused by this innovative approach, and it is more similar to a differential measurement. It will eliminate errors in the process of solving the ratio of multi-wavelength characteristics, and can improve accuracy and stability of the system. The infrared absorption spectrum of methane is constant, the ratio of absorbance of any two wavelengths by methane is also constant. The error coefficients produced by the system is the same when it received the same external interference, so the measured noise of the system can be effectively reduced by the ratio method. Experimental tested standards methane gas tank with leaking rate constant. Using the tested data of PN1000 type portable methane detector as the standard data, and were compared to the tested data of the system, while tested distance of the system were 100, 200 and 500 m. Experimental results show that the methane concentration detected value was stable after a certain time leakage, the concentration-path-length product value of the system was stable. For detection distance of 100 m, the detection error of the concentration-path-length product was less than 1.0%. With increasing distance from tested area, the detection error is increased correspondingly. When the distance was 500 m, the detection error was less than 4.5%. In short, the detected error of the system is less than 5.0% after the gas leakage stable, to meet the requirements of the field of natural gas leakage remote sensing. Source

Zhu Z.,Shanxi Finance and Taxation College
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

Particle swarm optimization (PSO) is a popular swarm intelligent methodology by simulating the animal social behaviors. Recent study shows that this type of social behaviors is a complex system, however, for most variants of PSO, all individuals lie in a fixed topology, and conflict this natural phenomenon. Therefore, in this paper, a new variant of PSO combined with Watts-Strogatz small-world topology model, called WSPSO, is proposed. In WSPSO, the topology is changed according to Watts-Strogatz rules within the whole evolutionary process. Simulation results show the proposed algorithm is effective and efficient. © 2010 Springer-Verlag. Source

Zhu Z.,Shanxi Finance and Taxation College
Journal of Computers | Year: 2011

Particle swarm optimization (PSO) is a novel swarm intelligent algorithm inspired by fish schooling and birds flocking. Due to the complex nature of engineering optimization tasks, the standard version can not always meet the optimization requirements. Therefore, in this paper, a new group decision mechanism is introduced to PSO to enhance the escaping capability from local optimum. Furthermore, a Watts Strogatz small-world model is incorporated into PSO to increase the population diversity. Seven famous numerical benchmarks are used to testify the new algorithm. Simulation results show it achieves the best performance when compared with three other variants of particle swarm optimization especially for multi-modal problems. © 2011 ACADEMY PUBLISHER. Source

Sun B.,Taiyuan University of Science and Technology | Zhu Z.,Shanxi Finance and Taxation College | Cui Z.,Taiyuan University of Science and Technology | Cui Z.,Nanjing University | And 2 more authors.
Journal of Bionanoscience | Year: 2014

Cuckoo search algorithm (CS) is a new intelligent optimization algorithm inspired by the brood parasitism phenomenon. Due to the simple concepts and easy implementation, it has been applied to many applications. In this paper, a new variant, guided binary-coded cuckoo search with binarycoded manner, is designed by incorporating one guided search direction to enhance the local search capability. To investigate the performance, we apply it to predict the RNA secondary structure problem. Ten famous sequences are selected and compared with Mfold, simulation results show the validity. Copyright © 2014 American Scientific Publishers. Source

Cui Z.,Taiyuan University of Science and Technology | Cui Z.,Nanjing University | Cao Y.,Taiyuan University of Science and Technology | Li F.,Taiyuan University of Science and Technology | Zhu Z.,Shanxi Finance and Taxation College
Journal of Computational and Theoretical Nanoscience | Year: 2015

RNA secondary structure prediction is an active research topic for computational biology, and may evolutionary algorithms are applied to solve it. In this paper, a new variant of bat algorithm, changing range bat algorithm, is designed to solve it. This variant aims to mining the problem information behind the better individuals, and a changing range strategy is employed. To test the performance, the prediction of RNA secondary structure problem is selected to test. Simulation results show it is validity. Copyright © 2015 American Scientific Publishers All rights reserved. Source

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