Twenty one joints were made with Brazilian tests and each surface was scanned by the Talysurf CLI 2000. Morphological characteristics of joint surface were quantified by statistical and textural parameters. By the con...Twenty one joints were made with Brazilian tests and each surface was scanned by the Talysurf CLI 2000. Morphological characteristics of joint surface were quantified by statistical and textural parameters. By the contrast of these parameters between both sides of each coupled joint, the following conclusions are drawn. The upper and lower surfaces of coupled joints have approximately equal values of Sp（maximum height of joint surface）, Sa（arithmetic mean height of joint surface） and Sq（root mean square height of joint surface）, but the Ssk（skewness of the height distribution of joint surface） values of the two surfaces of a coupled joint are different, one is positive while the other is negative. The Saj（auto-correlation length） parameter values of both surfaces of each coupled joint are quite close, and the S^（texture aspect ratio） values have the same situation to the Sal parameter, but the same parameters of different surfaces have big differences which illustrates its own characteristics of each joint. The two surfaces of each coupled joint have similar values of θp （mean profile angle） which can be used to deduce the value of θp each other.展开更多
冬小麦拔节期叶绿素状况估算对于冬小麦营养诊断非常重要。本文利用无人机遥感平台获取冬小麦拔节期长势遥感信息,提取多光谱植被指数、RGB影像纹理特征及覆盖度信息,基于多元线性回归(Multivariate linear regression,MLR)、随机森林回...冬小麦拔节期叶绿素状况估算对于冬小麦营养诊断非常重要。本文利用无人机遥感平台获取冬小麦拔节期长势遥感信息,提取多光谱植被指数、RGB影像纹理特征及覆盖度信息,基于多元线性回归(Multivariate linear regression,MLR)、随机森林回归(Random forest regression,RFR)构建了冬小麦SPAD值估算模型。分析多光谱植被指数、纹理特征和覆盖度信息,以及相互结合对于冬小麦SPAD值估算的影响。结果表明:多光谱植被指数、纹理特征、覆盖度的结合(2种类型或3种类型参数结合)可以用于冬小麦拔节期SPAD值的估算,而且相较于单类型参数或两类型参数结合,更多类型参数结合提高了冬小麦拔节期SPAD值的估算精度。而基于相同参数利用随机森林构建的冬小麦拔节期SPAD值估算模型精度均高于多元线性回归构建的模型精度。其中,基于3种类型参数构建的冬小麦SPAD值估算模型精度最高,R^(2)为0.78,RMSE为2.08。各类型参数对冬小麦拔节期SPAD值估算精度的影响由大到小依次为多光谱植被指数、纹理特征、覆盖度。其中,多光谱植被指数构建的模型精度与纹理特征构建的模型精度相近(R^(2)和RMSE分别为0.71、2.36及0.70、2.45)。覆盖度虽然对于SPAD值的估算精度提升最小,但结合其他特征可提高冬小麦SPAD值估算精度(对于RFR模型,R^(2)提高0.02~0.03)。多光谱植被指数、纹理特征、覆盖度的结合提高了模型估算精度,为冬小麦拔节期SPAD值快速估算提供了技术参考。展开更多
为进一步提高蛋清蛋白(egg white protein,EWP)复合凝胶的打印质量,该文探究了喷嘴直径、填充率和打印速度对打印产品成型性的影响以及内部结构对打印产品质构特性的影响。结果表明,喷嘴直径为1.20 mm时,打印产品的线条流畅、外观精致...为进一步提高蛋清蛋白(egg white protein,EWP)复合凝胶的打印质量,该文探究了喷嘴直径、填充率和打印速度对打印产品成型性的影响以及内部结构对打印产品质构特性的影响。结果表明,喷嘴直径为1.20 mm时,打印产品的线条流畅、外观精致并且具有更好的稳定性。填充率不低于50%时,打印产品的内部结构具有更好的支撑性。打印速度越快,打印效率越高。根据打印效果和打印效率,打印速度选择35 mm/s。综合表明,当喷嘴直径为1.20 mm、填充率不低于50%以及打印速度为35 mm/s时,EWP复合凝胶能够打印出质量更好、外观更精致的产品。内部结构对打印产品质构特性的结果表明,随着填充率的增加,同一填充线型打印产品的硬度和胶黏性均增加。打印产品的硬度和胶黏性的下降速度随着孔隙率的增加呈现先快后慢的现象。因此,可通过调控打印产品的内部结构来满足对不同质构特性产品的需求。展开更多
基金Project(51174228) supported by the National Natural Science Foundation of ChinaProject(2011ssxt275) supported by the Graduate Students’Thesis Innovation Foundation of Central South University,ChinaProject(11MX22) supported by the Central South University Students’ Innovation Foundation of the Mittal Company,China
文摘Twenty one joints were made with Brazilian tests and each surface was scanned by the Talysurf CLI 2000. Morphological characteristics of joint surface were quantified by statistical and textural parameters. By the contrast of these parameters between both sides of each coupled joint, the following conclusions are drawn. The upper and lower surfaces of coupled joints have approximately equal values of Sp（maximum height of joint surface）, Sa（arithmetic mean height of joint surface） and Sq（root mean square height of joint surface）, but the Ssk（skewness of the height distribution of joint surface） values of the two surfaces of a coupled joint are different, one is positive while the other is negative. The Saj（auto-correlation length） parameter values of both surfaces of each coupled joint are quite close, and the S^（texture aspect ratio） values have the same situation to the Sal parameter, but the same parameters of different surfaces have big differences which illustrates its own characteristics of each joint. The two surfaces of each coupled joint have similar values of θp （mean profile angle） which can be used to deduce the value of θp each other.
文摘冬小麦拔节期叶绿素状况估算对于冬小麦营养诊断非常重要。本文利用无人机遥感平台获取冬小麦拔节期长势遥感信息,提取多光谱植被指数、RGB影像纹理特征及覆盖度信息,基于多元线性回归(Multivariate linear regression,MLR)、随机森林回归(Random forest regression,RFR)构建了冬小麦SPAD值估算模型。分析多光谱植被指数、纹理特征和覆盖度信息,以及相互结合对于冬小麦SPAD值估算的影响。结果表明:多光谱植被指数、纹理特征、覆盖度的结合(2种类型或3种类型参数结合)可以用于冬小麦拔节期SPAD值的估算,而且相较于单类型参数或两类型参数结合,更多类型参数结合提高了冬小麦拔节期SPAD值的估算精度。而基于相同参数利用随机森林构建的冬小麦拔节期SPAD值估算模型精度均高于多元线性回归构建的模型精度。其中,基于3种类型参数构建的冬小麦SPAD值估算模型精度最高,R^(2)为0.78,RMSE为2.08。各类型参数对冬小麦拔节期SPAD值估算精度的影响由大到小依次为多光谱植被指数、纹理特征、覆盖度。其中,多光谱植被指数构建的模型精度与纹理特征构建的模型精度相近(R^(2)和RMSE分别为0.71、2.36及0.70、2.45)。覆盖度虽然对于SPAD值的估算精度提升最小,但结合其他特征可提高冬小麦SPAD值估算精度(对于RFR模型,R^(2)提高0.02~0.03)。多光谱植被指数、纹理特征、覆盖度的结合提高了模型估算精度,为冬小麦拔节期SPAD值快速估算提供了技术参考。
