A robust and efficient algorithm is presented to build multiresolution models (MRMs) of arbitrary meshes without requirement of subdivision connectivity. To overcome the sampling difficulty of arbitrary meshes, edge c...A robust and efficient algorithm is presented to build multiresolution models (MRMs) of arbitrary meshes without requirement of subdivision connectivity. To overcome the sampling difficulty of arbitrary meshes, edge contraction and vertex expansion are used as downsampling and upsampling methods. Our MRMs of a mesh are composed of a base mesh and a series of edge split operations, which are organized as a directed graph. Each split operation encodes two parts of information. One is the modification to the mesh, and the other is the dependency relation among splits. Such organization ensures the efficiency and robustness of our MRM algorithm. Examples demonstrate the functionality of our method.展开更多
Remote sensing techniques have the potential to provide information on agricultural crops quantitatively , instantaneously and above all nondestructively over large areas . Crop simulation models describe the relation...Remote sensing techniques have the potential to provide information on agricultural crops quantitatively , instantaneously and above all nondestructively over large areas . Crop simulation models describe the relationship between physiological processes in plants and environmental growing conditions. The integration between remote sensing data and crop growth simulation model is an important trend for yield estimation and prediction, since remote sensing can provide information on the actual status of the agricultural crop. In this study, a new model(Rice-SRS) was developed based mainly on ORYZA1 model and modified to accept remote sensing data as input from different sources. The model can accept three kinds of NDVI data: NOAA AVHRR(LAC)-NDVI,NOAA AVHRR(GAC)-NDVI and radiometric measurements-NDVI. The integration between NOAA AVHRR (LAC) data and simulation model as applied to Rice-SRS resulted in accurate estimates for rice yield in the Shaoxing area, reduced the estimating error to 1.027%,0.794% and (-0.787%) for early, single, and late season respectively. Utilizing NDVI data derived from NOAA AVHRR (GAC) as input in Rice-SRS can yield good estimation for rice yield with the average error (-7.43%). Testing the new model for radiometric measurements showed that the average estimation error for 10 varieties under early rice conditions was less than 1%.展开更多
Due to the different signal frequencies for the GLONASS satellites,the commonly-used double-differencing procedure for carrier phase data processing can not be implemented in its straightforward form,as in the case of...Due to the different signal frequencies for the GLONASS satellites,the commonly-used double-differencing procedure for carrier phase data processing can not be implemented in its straightforward form,as in the case of GPS.In this paper a novel data processing strategy,involving a three-step procedure,for integrated GPS/GLONASS positioning is proposed.The first is pseudo-range-based positioning,that uses double-differenced (DD) GPS pseudo-range and single-differenced (SD) GLONASS pseudo-range measurements to derive the initial position and receiver clock bias.The second is forming DD measurements (expressed in cycles) in order to estimate the ambiguities,by using the receiver clock bias estimated in the above step.The third is to form DD measurements (expressed in metric units) with the unknown SD integer ambiguity for the GLONASS reference satellite as the only parameter (which is constant before a cycle slip occurs for this satellite).A real-time stochastic model estimated by residual series over previous epochs is proposed for integrated GPS/GLONASS carrier phase and pseudo-range data processing.Other associated issues,such as cycle slip detection,validation criteria and adaptive procedure(s) for ambiguity resolution,is also discussed.The performance of this data processing strategy will be demonstrated through case study examples of rapid static positioning and kinematic positioning.From four experiments carried out to date,the results indicate that rapid static positioning requires 1 minute of single frequency GPS/GLONASS data for 100% positioning success rate.The single epoch positioning solution for kinematic positioning can achieve 94.6% success rate over short baselines (<6 km).展开更多
A new decentralized closcd-loop identification and predictive controller design method for a kind of cascade processes composed of several sub-processes is studied. This kind of cascade processcs has the characteristi...A new decentralized closcd-loop identification and predictive controller design method for a kind of cascade processes composed of several sub-processes is studied. This kind of cascade processcs has the characteristies of one-way connection. The process is divided into several two-input-two-output (TITO) sub-systems. The parameters of the first-order plus dead-time models for the transfer function matrices can be obtained using least squares method. Hence a distributed model predictive contn,ller is designed based on the coupling models of each sub-process. Simulation results on the temperature control of a reheating furnace are given to show the efficiency of the algorithm.展开更多
Objective To compare the efficacy of treating obese patients with abnormity of lipids and serum leptin by dilatational wave or continuous wave of electroacupuncture combined with thunder-fire moxibustion in order to p...Objective To compare the efficacy of treating obese patients with abnormity of lipids and serum leptin by dilatational wave or continuous wave of electroacupuncture combined with thunder-fire moxibustion in order to provide a clinical basis for selecting wave types of electroacupuncture for different patterns of obesity. Methods Sixty obese patients with abnormal lipids and serum leptin were randomly divided into a dilatational wave group and a continuous wave group via random number table, with 30 cases in each group. They were divided by TCM differentiation into three types: stomachintestine excessive heat, weakness of the spleen-stomach and spleen-kidney yang deficiency, treated by electroacupuncture on Tianshu (天枢 ST 25), Daheng (大横 SP 15), Zusanli (足三里ST 36), Shangjuxu (上巨虚 ST 37), Fanglong (丰隆 ST 40), Yinlingquan (阴陵泉 SP 9), Quchi (曲池 LI 11), Zhigou (支沟 TE 6) and Hegu (合谷 LI 4) along with thunder-fire moxibustion. The frequency of electro-acupuncture in the dilatational wave group and the continuous wave group was 2 Hz/100 Hz and 2 Hz, respectively. Patients in the two groups were treated once a day, six times a week. The treatment lasted for 4 weeks with 3-month follow-up. Body mass and body fat percentage before and after the treatment, as well as during the follow-up, were compared. The effectiveness rates in the two groups were compared, and the efficacy statistics of patients with different TCM patterns in the dilatational wave group were also analyzed. Lipid levels of the patients in two groups before and after the treatment were measured with an automatic biochemical analyzer, and serum leptin levels were detected with flow cytometry system. Results After the treatment, the patients' blood lipids, serum leptin levels, body mass and body fat percentage were effectively reduced in the two groups; three months' follow-up witnessed continuous decline of obesity indicators (P〈0.01 or P〈0.05), and patients in the dilatat-ional wave group improved more significantly than those in continuous wave group (P〈0.05 or P〈0.01). The efficacy in the dilatational wave group was superior to that in the continuous wave group (P〈0.01). The best efficacy could be found among patients with weakness of the spleen and the stomach in the dilatational wave group. Conclusion Efficacy of treating obese patients with abnormity of lipids and serum leptin by electro-acupuncture combined with thunder-fire moxibustion in the dilatational wave group was significantly better than that of the continuous wave group, and efficacy for obese patients with weakness of the spleen and the stomach was superior to that of those with stomach-intestine excessive heat and spleen-kidney yang deficiency.展开更多
文摘A robust and efficient algorithm is presented to build multiresolution models (MRMs) of arbitrary meshes without requirement of subdivision connectivity. To overcome the sampling difficulty of arbitrary meshes, edge contraction and vertex expansion are used as downsampling and upsampling methods. Our MRMs of a mesh are composed of a base mesh and a series of edge split operations, which are organized as a directed graph. Each split operation encodes two parts of information. One is the modification to the mesh, and the other is the dependency relation among splits. Such organization ensures the efficiency and robustness of our MRM algorithm. Examples demonstrate the functionality of our method.
文摘Remote sensing techniques have the potential to provide information on agricultural crops quantitatively , instantaneously and above all nondestructively over large areas . Crop simulation models describe the relationship between physiological processes in plants and environmental growing conditions. The integration between remote sensing data and crop growth simulation model is an important trend for yield estimation and prediction, since remote sensing can provide information on the actual status of the agricultural crop. In this study, a new model(Rice-SRS) was developed based mainly on ORYZA1 model and modified to accept remote sensing data as input from different sources. The model can accept three kinds of NDVI data: NOAA AVHRR(LAC)-NDVI,NOAA AVHRR(GAC)-NDVI and radiometric measurements-NDVI. The integration between NOAA AVHRR (LAC) data and simulation model as applied to Rice-SRS resulted in accurate estimates for rice yield in the Shaoxing area, reduced the estimating error to 1.027%,0.794% and (-0.787%) for early, single, and late season respectively. Utilizing NDVI data derived from NOAA AVHRR (GAC) as input in Rice-SRS can yield good estimation for rice yield with the average error (-7.43%). Testing the new model for radiometric measurements showed that the average estimation error for 10 varieties under early rice conditions was less than 1%.
文摘Due to the different signal frequencies for the GLONASS satellites,the commonly-used double-differencing procedure for carrier phase data processing can not be implemented in its straightforward form,as in the case of GPS.In this paper a novel data processing strategy,involving a three-step procedure,for integrated GPS/GLONASS positioning is proposed.The first is pseudo-range-based positioning,that uses double-differenced (DD) GPS pseudo-range and single-differenced (SD) GLONASS pseudo-range measurements to derive the initial position and receiver clock bias.The second is forming DD measurements (expressed in cycles) in order to estimate the ambiguities,by using the receiver clock bias estimated in the above step.The third is to form DD measurements (expressed in metric units) with the unknown SD integer ambiguity for the GLONASS reference satellite as the only parameter (which is constant before a cycle slip occurs for this satellite).A real-time stochastic model estimated by residual series over previous epochs is proposed for integrated GPS/GLONASS carrier phase and pseudo-range data processing.Other associated issues,such as cycle slip detection,validation criteria and adaptive procedure(s) for ambiguity resolution,is also discussed.The performance of this data processing strategy will be demonstrated through case study examples of rapid static positioning and kinematic positioning.From four experiments carried out to date,the results indicate that rapid static positioning requires 1 minute of single frequency GPS/GLONASS data for 100% positioning success rate.The single epoch positioning solution for kinematic positioning can achieve 94.6% success rate over short baselines (<6 km).
基金国家高技术研究发展计划(863计划),the National Natural Science Foundation of China,教育部新世纪高校优秀人才计划
文摘A new decentralized closcd-loop identification and predictive controller design method for a kind of cascade processes composed of several sub-processes is studied. This kind of cascade processcs has the characteristies of one-way connection. The process is divided into several two-input-two-output (TITO) sub-systems. The parameters of the first-order plus dead-time models for the transfer function matrices can be obtained using least squares method. Hence a distributed model predictive contn,ller is designed based on the coupling models of each sub-process. Simulation results on the temperature control of a reheating furnace are given to show the efficiency of the algorithm.
基金Supported by Guangxi Natural Science Foundation Project:2010 GXNSFA 013210
文摘Objective To compare the efficacy of treating obese patients with abnormity of lipids and serum leptin by dilatational wave or continuous wave of electroacupuncture combined with thunder-fire moxibustion in order to provide a clinical basis for selecting wave types of electroacupuncture for different patterns of obesity. Methods Sixty obese patients with abnormal lipids and serum leptin were randomly divided into a dilatational wave group and a continuous wave group via random number table, with 30 cases in each group. They were divided by TCM differentiation into three types: stomachintestine excessive heat, weakness of the spleen-stomach and spleen-kidney yang deficiency, treated by electroacupuncture on Tianshu (天枢 ST 25), Daheng (大横 SP 15), Zusanli (足三里ST 36), Shangjuxu (上巨虚 ST 37), Fanglong (丰隆 ST 40), Yinlingquan (阴陵泉 SP 9), Quchi (曲池 LI 11), Zhigou (支沟 TE 6) and Hegu (合谷 LI 4) along with thunder-fire moxibustion. The frequency of electro-acupuncture in the dilatational wave group and the continuous wave group was 2 Hz/100 Hz and 2 Hz, respectively. Patients in the two groups were treated once a day, six times a week. The treatment lasted for 4 weeks with 3-month follow-up. Body mass and body fat percentage before and after the treatment, as well as during the follow-up, were compared. The effectiveness rates in the two groups were compared, and the efficacy statistics of patients with different TCM patterns in the dilatational wave group were also analyzed. Lipid levels of the patients in two groups before and after the treatment were measured with an automatic biochemical analyzer, and serum leptin levels were detected with flow cytometry system. Results After the treatment, the patients' blood lipids, serum leptin levels, body mass and body fat percentage were effectively reduced in the two groups; three months' follow-up witnessed continuous decline of obesity indicators (P〈0.01 or P〈0.05), and patients in the dilatat-ional wave group improved more significantly than those in continuous wave group (P〈0.05 or P〈0.01). The efficacy in the dilatational wave group was superior to that in the continuous wave group (P〈0.01). The best efficacy could be found among patients with weakness of the spleen and the stomach in the dilatational wave group. Conclusion Efficacy of treating obese patients with abnormity of lipids and serum leptin by electro-acupuncture combined with thunder-fire moxibustion in the dilatational wave group was significantly better than that of the continuous wave group, and efficacy for obese patients with weakness of the spleen and the stomach was superior to that of those with stomach-intestine excessive heat and spleen-kidney yang deficiency.