[Objective]This experiment aimed to establish fast and slow feathering lines from purified and rejuvenated core breeding flock. [Method] Individual and family selection were used for continuous selection from zero to ...[Objective]This experiment aimed to establish fast and slow feathering lines from purified and rejuvenated core breeding flock. [Method] Individual and family selection were used for continuous selection from zero to the second generation. [Result]The results showed that in the fast feathering line,the average weight gain was improved by 108. 34 g per generation in roosters at the age of 20 weeks while a 54. 5 g increase was got per generation in hens. Hen housed egg production was increased from 150 to 170 at the age of 66 weeks,and the healthy rate of chicken flock was raised by 0. 7 percent. In the slow feathering line,the average weight gain was increased by 156. 6g per generation in roosters while a 38. 9 g increase was got per generation in hens,and the hen housed egg production was increased from 158 to 179 at the age of 66 weeks. [Conclusion] This research had a great significance in increasing native chicken's production performance and developing its market competitiveness.展开更多
Two-dimensional(2D)nuclear magnetic resonance(NMR)inversion operates with massive echo train data and is an ill-posed problem.It is very important to select a suitable inversion method for the 2D NMR data processing.I...Two-dimensional(2D)nuclear magnetic resonance(NMR)inversion operates with massive echo train data and is an ill-posed problem.It is very important to select a suitable inversion method for the 2D NMR data processing.In this study,we propose a fast,robust,and effective method for 2D NMR inversion that improves the computational efficiency of the inversion process by avoiding estimation of some unneeded regularization parameters.Firstly,a method that combines window averaging(WA)and singular value decomposition(SVD)is used to compress the echo train data and obtain the singular values of the kernel matrix.Subsequently,an optimum regularization parameter in a fast manner using the signal-to-noise ratio(SNR)of the echo train data and the maximum singular value of the kernel matrix are determined.Finally,we use the Butler-Reeds-Dawson(BRD)method and the selected optimum regularization parameter to invert the compressed data to achieve a fast 2D NMR inversion.The numerical simulation results indicate that the proposed method not only achieves satisfactory 2D NMR spectra rapidly from the echo train data of different SNRs but also is insensitive to the number of the final compressed data points.展开更多
Fast stepwise procedures of selection of variables by using AIC and BIC criteria are proposed inthis paper. We shall use a short name 'FSP' for these new procedures. FSP are similar to the well-known stepwise ...Fast stepwise procedures of selection of variables by using AIC and BIC criteria are proposed inthis paper. We shall use a short name 'FSP' for these new procedures. FSP are similar to the well-known stepwise regression procedures in computing steps. But FSP have two advantages. One of theseadvantages is that FSP are definitely convergent with a faster rate in finite computing steps. Anotheradvantage is that ESP can be used for large number of candidate variables. In this paper we alsoshow some asymptotic properties of FSP, and some simulation results.展开更多
Remote sensing images are hard to achieve high compression ratio because of their rich texture. By analyzing the influence of wavelet properties on image compression, this paper proposes wavelet construction rules and...Remote sensing images are hard to achieve high compression ratio because of their rich texture. By analyzing the influence of wavelet properties on image compression, this paper proposes wavelet construction rules and builds a new biorthogonal wavelet construction model with parameters. The model parameters are optimized by using genetic algorithm and adopting energy compaction as the optimization object function. In addition, in order to resolve the computation complexity problem of online construction, according to the image classification rule proposed in this paper we construct wavelets for different classes of images and implement the fast adaptive wavelet selection algorithm (FAWS). Experimental results show wavelet bases of FAWS gain better compression performance than Daubechies9/7.展开更多
As a common heavy metal in the sintering flue gas,Pb can exist in the form of oxide(PbO)and lead to the decrease in the denitration catalysts activity.Ce-Mn/AC(activated carbon)and PbO-Ce-Mn/AC catalysts were prepared...As a common heavy metal in the sintering flue gas,Pb can exist in the form of oxide(PbO)and lead to the decrease in the denitration catalysts activity.Ce-Mn/AC(activated carbon)and PbO-Ce-Mn/AC catalysts were prepared by impregnation method and their selective catalytic reduction of NH_(3) with NO was studied.Results showed that selective catalytic reduction activity of Ce-Mn/AC decreased remarkably after doping PbO.And the NO conversion of Ce-Mn/AC reached 94.52% at 200℃,while the value was reduced to 65.8% after doping PbO at the same temperature.The doping of PbO decreased the total pore volume and oxygen functional groups of activated carbon,increased crystallinity of Mn oxides on the catalyst,decreased Mn^(4+) and chemisorbed oxygen content and then inhibited the“fast selective catalytic reduction”denitration reaction for Ce-Mn/AC catalysts.On this basis,the poisoning effects of lead oxide on Ce-Mn/AC catalysts for low-temperature selective catalytic reduction were revealed.展开更多
基金Supported by the Ministry of Science and Technology Development Project(10050306003)
文摘[Objective]This experiment aimed to establish fast and slow feathering lines from purified and rejuvenated core breeding flock. [Method] Individual and family selection were used for continuous selection from zero to the second generation. [Result]The results showed that in the fast feathering line,the average weight gain was improved by 108. 34 g per generation in roosters at the age of 20 weeks while a 54. 5 g increase was got per generation in hens. Hen housed egg production was increased from 150 to 170 at the age of 66 weeks,and the healthy rate of chicken flock was raised by 0. 7 percent. In the slow feathering line,the average weight gain was increased by 156. 6g per generation in roosters while a 38. 9 g increase was got per generation in hens,and the hen housed egg production was increased from 158 to 179 at the age of 66 weeks. [Conclusion] This research had a great significance in increasing native chicken's production performance and developing its market competitiveness.
基金funded by National Science and Technology Major Project of the Ministry of Science and Technology of China(2016ZX05033-003-001).
文摘Two-dimensional(2D)nuclear magnetic resonance(NMR)inversion operates with massive echo train data and is an ill-posed problem.It is very important to select a suitable inversion method for the 2D NMR data processing.In this study,we propose a fast,robust,and effective method for 2D NMR inversion that improves the computational efficiency of the inversion process by avoiding estimation of some unneeded regularization parameters.Firstly,a method that combines window averaging(WA)and singular value decomposition(SVD)is used to compress the echo train data and obtain the singular values of the kernel matrix.Subsequently,an optimum regularization parameter in a fast manner using the signal-to-noise ratio(SNR)of the echo train data and the maximum singular value of the kernel matrix are determined.Finally,we use the Butler-Reeds-Dawson(BRD)method and the selected optimum regularization parameter to invert the compressed data to achieve a fast 2D NMR inversion.The numerical simulation results indicate that the proposed method not only achieves satisfactory 2D NMR spectra rapidly from the echo train data of different SNRs but also is insensitive to the number of the final compressed data points.
文摘Fast stepwise procedures of selection of variables by using AIC and BIC criteria are proposed inthis paper. We shall use a short name 'FSP' for these new procedures. FSP are similar to the well-known stepwise regression procedures in computing steps. But FSP have two advantages. One of theseadvantages is that FSP are definitely convergent with a faster rate in finite computing steps. Anotheradvantage is that ESP can be used for large number of candidate variables. In this paper we alsoshow some asymptotic properties of FSP, and some simulation results.
基金Supported bY the National Natural Science Foundation of China under Grant No.60573150National Defense Basic Research Foundation,the Program for New Century Excellent Talents in Universities and ERIPKU.
文摘Remote sensing images are hard to achieve high compression ratio because of their rich texture. By analyzing the influence of wavelet properties on image compression, this paper proposes wavelet construction rules and builds a new biorthogonal wavelet construction model with parameters. The model parameters are optimized by using genetic algorithm and adopting energy compaction as the optimization object function. In addition, in order to resolve the computation complexity problem of online construction, according to the image classification rule proposed in this paper we construct wavelets for different classes of images and implement the fast adaptive wavelet selection algorithm (FAWS). Experimental results show wavelet bases of FAWS gain better compression performance than Daubechies9/7.
基金the National Natural Science Foundation of China(Nos.51874058 and 51604048)Fund of Chongqing Science and Technology(cstc2019jscxmsxmX0215)for financial support.
文摘As a common heavy metal in the sintering flue gas,Pb can exist in the form of oxide(PbO)and lead to the decrease in the denitration catalysts activity.Ce-Mn/AC(activated carbon)and PbO-Ce-Mn/AC catalysts were prepared by impregnation method and their selective catalytic reduction of NH_(3) with NO was studied.Results showed that selective catalytic reduction activity of Ce-Mn/AC decreased remarkably after doping PbO.And the NO conversion of Ce-Mn/AC reached 94.52% at 200℃,while the value was reduced to 65.8% after doping PbO at the same temperature.The doping of PbO decreased the total pore volume and oxygen functional groups of activated carbon,increased crystallinity of Mn oxides on the catalyst,decreased Mn^(4+) and chemisorbed oxygen content and then inhibited the“fast selective catalytic reduction”denitration reaction for Ce-Mn/AC catalysts.On this basis,the poisoning effects of lead oxide on Ce-Mn/AC catalysts for low-temperature selective catalytic reduction were revealed.