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141 results on '"Luo, Li-Jun"'

17. A new algorithm on MPEG-2 target bit-number allocation at scene changes

Author

Luo, Li-Jun, Zou, Cai-Rong, and He, Zhen-Ya

Subjects
Image coding -- Analysis, Digital video -- Analysis, Algorithms -- Analysis, Business, Computers, Electronics, Electronics and electrical industries
Abstract

The bit-number allocation strategy of Test Model 5 (TM5) may cause the coding quality to decrease and the buffer to overflow at scene changes, therefore a new algorithm on MPEG-2 target bit-number allocation is proposed in this letter. Here the influence of scene changes on coding quality is analyzed and an approach to improve the coding performance at scene changes is presented to avoid a sharp quality decrease of scene-change frames. Simulation results indicate that this algorithm provides a promising coding quality at scene changes. Index Terms - Motion compensation, motion estimation, MPEG, quantization, video coding.

Published
1997

23. Comparison of Near Infrared Spectroscopy Models for Determining Protein and Amylose Contents Between Calibration Samples of Recombinant Inbred Lines and Conventional Varieties of Rice

Author

LI Ying Luo Li-jun, Hua Yang, Hong-jiang Zhang, Yu Xinqiao, Liang Chen, Hanwei Mei, Xiao-shan Wang, and Wu JinHong

Subjects
Coefficient of determination, Mean squared error, Analytical chemistry, Regression analysis, Plant Science, Cross-validation, chemistry.chemical_compound, chemistry, Inbred strain, Amylose, Botany, Calibration, Cultivar, Agronomy and Crop Science, Mathematics
Abstract

The near infrared spectra of 178 recombinant inbred lines (RILs) from the cross of II-32B/Yuezaoxian 6 (YZX6) and 511 varieties in rice were acquired. A total of 80 RILs and 96 cultivars were selected as modeling samples by comparing the spectra similarity primarily. Three partial least square (PLS) regression models were developed, based on the RILs (RIL-model), the varieties (Var-model) and their mixture (Mix-model), for protein content (PC) and amylose content (AC), respectively. Cross validation and outer prediction showed that the models were largely influenced by the range and distribution of modeling samples. The regression model of PC based on the cultivars and the model of AC based on RILs had higher coefficient of determination (r^2≥0.9) and lower root mean square error of cross validation (RMSECVs). The disadvantages of RIL samples for PC model and variety samples for AC model were probably caused by the narrow range of variance. Aberrant predictions were obtained for outer sample with PC or AC outside the range or within the distribution gap of modeling samples. The Mix-models gave more reliable prediction as the distribution of RIL and variety modeling samples were complementary to each other.

Published
2007

40. The preparation and photocatalytic activity of phosphotungstic acid-reduced graphene oxide composites

Author

Xia, Li-hong, Luo, Li-jun, Li, Junhong, Fan, Ya, Tan, Wei, Yang, Wen-rong, Wang, Hong-bin, and Shu, Li

Abstract

In this work, phosphotungstic acid-reduced graphene oxide composites (denoted as HPW-RGO) were synthesized using phosphotungstic acid and self-made graphene oxide as starting materials via a facile hydrothermal method. The prepared materials were characterized by scanning electron microscopy, X-ray diffraction analysis, infrared spectroscopy, X-ray photoelectron spectroscopy and thermograv- imetric analysis. The results showed that the phosphotungstic acid particles were loaded on reduced graphene oxide. The optimal mass ratio of graphite oxide to HPW was 3.0 wt% in preparation process. Under the same experimental condition (pH 3.0, 20 mg/L methyl orange (MO) and 1.0 g/L dosage), the adsorption removal ratio of MO over HPW-3RGO was 46.34%, the photocatalytic degradation removal ratio is about 40.00%, and the total removal ratio was 86.34%. While the adsorption removal ratio of MO over HPW was only 2.67%, the photocatalytic degradation removal ratio is about 32.00% and the total removal ratio was only 34.66%. The degradation rate constant of HPW-3RGO (0.00892 min-1) was 3.4 times of the HPW (0.00264 min-1).

Published
2017
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