Based on the TM image of Yulin sheet and with the help of ERDAS,ARC/INFO and ARC/VIEW software,the landscape of Yulin sheet was classified.Using the spatial pattern analysis software FRAGSTATS of the vector version,a ...Based on the TM image of Yulin sheet and with the help of ERDAS,ARC/INFO and ARC/VIEW software,the landscape of Yulin sheet was classified.Using the spatial pattern analysis software FRAGSTATS of the vector version,a set of landscape indices were calculated at three scale levels of patches,classes and landscape.The results showed that landscape pattern indices could be successfully used in characterizing the spatial pattern of the studied area.However,this study should be further extended to the landscape of the same area in other period to analyze its dynamic change.FRAGSTATS was a good software,but should be improved by adding some indices such as PD2 developed by us.展开更多
Background： Accelerometers have been suggested to provide additional information during the 6-min walk test which may be useful in evaluating changes in functional exercise capacity. The aim of the study was to ident...Background： Accelerometers have been suggested to provide additional information during the 6-min walk test which may be useful in evaluating changes in functional exercise capacity. The aim of the study was to identify whether the additional information measured by the My Wellness Key^TM（MWK） accelerometer during a treadmill 6-min walk test（t-6MWT） was related to currently used outcome measures.Methods： Fifteen participants（9 males, 6 females） performed a self-paced t-6MWT. Respiratory gas analysis and walking distance were measured whilst wearing the MWK.Results： A significant correlation was established between activity counts and 6-min walk distance（6MWD）（r=-0.847, p 〈 0.001） yet not 6-min walk work（6MWW）（r=-0.337, p=0.220）. Energy expenditure estimated by the MWK was strongly correlated to 6MWW（r=0.938, p 〈 0.001）but not 6MWD（r=0.477, p=0.072）. The MWK significantly underestimated energy expenditure（36.73, CI=33.9-39.7 kcal） compared to gas analysis（54.35, CI=46.2-61.4 kcal） demonstrating poor agreement between the two analyses（Bias=-17.61 kcal, Limits of agreement=-37.4,t2.2 kcal）. Measurement of time spent undertaking light, moderate, and vigorous physical activity was not significantly different（ p 〉 0.05）between the MWK and gas analysis.Conclusion： Estimated energy expenditure provided by the MWK was strongly correlated to 6MWW; however, MWK underestimated energy expenditure as measured by gas analysis. The MWK may provide outcome data that supplement those currently provided by the 6MWD for functional capacity assessment during the t-6MWT.展开更多
Aiming at the problems of high time-consuming, low accuracy and weak versatility of the existing methods of wa- ter extraction based on TM image, this paper combines principal component analysis （PCA） with the modif...Aiming at the problems of high time-consuming, low accuracy and weak versatility of the existing methods of wa- ter extraction based on TM image, this paper combines principal component analysis （PCA） with the modified normalized difference water index （MNDWI） which was improved by XU Han-qiu to construct a false color composite image that could separate water from others easily. This method can realize the water extraction based on TM image by analyzing the spectral characteristics of water in this false color image and establishing a water extraction model. This paper also compares the effi- ciency of this method with MNDWI, （TM2 ＋ TM3） - （TM4 ＋ TM5） and new water index （NWI）, which were applied in the city and mountain of Taiyuan, respectively. The results show that the proposed method can extract water body from TM im- age more rapidly and efficiently and its accuracy is up to 94.03 %. In addition, this method does not require a manual selec- tion threshold, which meets the research reuuirement of high automaticm.展开更多
文摘Based on the TM image of Yulin sheet and with the help of ERDAS,ARC/INFO and ARC/VIEW software,the landscape of Yulin sheet was classified.Using the spatial pattern analysis software FRAGSTATS of the vector version,a set of landscape indices were calculated at three scale levels of patches,classes and landscape.The results showed that landscape pattern indices could be successfully used in characterizing the spatial pattern of the studied area.However,this study should be further extended to the landscape of the same area in other period to analyze its dynamic change.FRAGSTATS was a good software,but should be improved by adding some indices such as PD2 developed by us.
文摘Background： Accelerometers have been suggested to provide additional information during the 6-min walk test which may be useful in evaluating changes in functional exercise capacity. The aim of the study was to identify whether the additional information measured by the My Wellness Key^TM（MWK） accelerometer during a treadmill 6-min walk test（t-6MWT） was related to currently used outcome measures.Methods： Fifteen participants（9 males, 6 females） performed a self-paced t-6MWT. Respiratory gas analysis and walking distance were measured whilst wearing the MWK.Results： A significant correlation was established between activity counts and 6-min walk distance（6MWD）（r=-0.847, p 〈 0.001） yet not 6-min walk work（6MWW）（r=-0.337, p=0.220）. Energy expenditure estimated by the MWK was strongly correlated to 6MWW（r=0.938, p 〈 0.001）but not 6MWD（r=0.477, p=0.072）. The MWK significantly underestimated energy expenditure（36.73, CI=33.9-39.7 kcal） compared to gas analysis（54.35, CI=46.2-61.4 kcal） demonstrating poor agreement between the two analyses（Bias=-17.61 kcal, Limits of agreement=-37.4,t2.2 kcal）. Measurement of time spent undertaking light, moderate, and vigorous physical activity was not significantly different（ p 〉 0.05）between the MWK and gas analysis.Conclusion： Estimated energy expenditure provided by the MWK was strongly correlated to 6MWW; however, MWK underestimated energy expenditure as measured by gas analysis. The MWK may provide outcome data that supplement those currently provided by the 6MWD for functional capacity assessment during the t-6MWT.
文摘Aiming at the problems of high time-consuming, low accuracy and weak versatility of the existing methods of wa- ter extraction based on TM image, this paper combines principal component analysis （PCA） with the modified normalized difference water index （MNDWI） which was improved by XU Han-qiu to construct a false color composite image that could separate water from others easily. This method can realize the water extraction based on TM image by analyzing the spectral characteristics of water in this false color image and establishing a water extraction model. This paper also compares the effi- ciency of this method with MNDWI, （TM2 ＋ TM3） - （TM4 ＋ TM5） and new water index （NWI）, which were applied in the city and mountain of Taiyuan, respectively. The results show that the proposed method can extract water body from TM im- age more rapidly and efficiently and its accuracy is up to 94.03 %. In addition, this method does not require a manual selec- tion threshold, which meets the research reuuirement of high automaticm.
