In this study, we will introduce the modified (G'/G<sup>2</sup>)-expansion method to explore some of the exact traveling wave solutions of some nonlinear partial differential equations namely, Phi-4 eq...In this study, we will introduce the modified (G'/G<sup>2</sup>)-expansion method to explore some of the exact traveling wave solutions of some nonlinear partial differential equations namely, Phi-4 equation, Joseph-Egri (TRLW) equation, and Calogro-Degasperis (CD) equation. As a result, we have obtained solutions for the equations expressed in terms of trigonometric, hyperbolic and rational functions. Moreover, some selected solutions are plotted using some specific values for the parameters.展开更多
随着5G技术的不断发展,5G蜂窝网络已被广泛应用于城市地区。然而,基于5G的机会信号定位技术中存在着测距精度不高的问题。针对此问题,提出一种改进型5G机会信号定位算法,该算法将多信号分类(multiple signal classification,MUSIC)算法...随着5G技术的不断发展,5G蜂窝网络已被广泛应用于城市地区。然而,基于5G的机会信号定位技术中存在着测距精度不高的问题。针对此问题,提出一种改进型5G机会信号定位算法,该算法将多信号分类(multiple signal classification,MUSIC)算法与改进的早-晚功率锁相环(phase-locked loop,PLL)结合,不仅简化了锁相环结构,更保证了测距精度;同时搭建了基于5G机会信号定位的原理样机,并对改进算法方法的有效性和可行性进行了验证,试验结果表明伪距均方误差为3.03 m。本文所提出的算法不仅结构简单、系统稳定,而且在测距精度上也有一定的优势。展开更多
四川西部地区地理环境复杂,滑坡空间结构多样且变形剧烈。为有效预防滑坡灾害,需要探究相关区域滑坡危险性可靠评价方法。利用G1-熵权耦合赋权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS...四川西部地区地理环境复杂,滑坡空间结构多样且变形剧烈。为有效预防滑坡灾害,需要探究相关区域滑坡危险性可靠评价方法。利用G1-熵权耦合赋权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)构建滑坡灾害危险性评价模型,选取高程、降雨、地震动参数等12个评价因子,对雅砻江滑坡灾害危险性进行评价。依据贴近度将滑坡区域分为4个等级,即高危险区(0.75~1)、较高危险区(0.5~0.75)、中等危险区(0.25~0.5)和低危险区(0~0.25)。同时,对比了由差分干涉测量短基线集时序分析(small baseline subset interferometric synthetic aperture radar,SBAS-InSAR)技术得到的4个区域滑坡实测结果和本文评价模型的分析结果。利用G1-熵权耦合赋权TOPSIS得到九龙县烟袋镇桤木林村高生地滑坡、新龙县和平乡甲西村麻西滑坡、德格县年古乡政府滑坡和甘孜县扎科乡达玛滑坡的贴近度分别为0.854、0.686、0.405和0.224,由SBAS-InSAR技术得到滑坡前缘局部变形速率分别为-150、-43、-66、30 mm/a,二者之间有显著的对应关系,证明本文评价模型的准确性。应用G1-熵权耦合赋权TOPSIS法对滑坡危险性评价具有较高的准确性,该方法可为其他地区滑坡地质灾害评价提供参考。展开更多
文摘In this study, we will introduce the modified (G'/G<sup>2</sup>)-expansion method to explore some of the exact traveling wave solutions of some nonlinear partial differential equations namely, Phi-4 equation, Joseph-Egri (TRLW) equation, and Calogro-Degasperis (CD) equation. As a result, we have obtained solutions for the equations expressed in terms of trigonometric, hyperbolic and rational functions. Moreover, some selected solutions are plotted using some specific values for the parameters.
文摘随着5G技术的不断发展,5G蜂窝网络已被广泛应用于城市地区。然而,基于5G的机会信号定位技术中存在着测距精度不高的问题。针对此问题,提出一种改进型5G机会信号定位算法,该算法将多信号分类(multiple signal classification,MUSIC)算法与改进的早-晚功率锁相环(phase-locked loop,PLL)结合,不仅简化了锁相环结构,更保证了测距精度;同时搭建了基于5G机会信号定位的原理样机,并对改进算法方法的有效性和可行性进行了验证,试验结果表明伪距均方误差为3.03 m。本文所提出的算法不仅结构简单、系统稳定,而且在测距精度上也有一定的优势。
文摘四川西部地区地理环境复杂,滑坡空间结构多样且变形剧烈。为有效预防滑坡灾害,需要探究相关区域滑坡危险性可靠评价方法。利用G1-熵权耦合赋权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)构建滑坡灾害危险性评价模型,选取高程、降雨、地震动参数等12个评价因子,对雅砻江滑坡灾害危险性进行评价。依据贴近度将滑坡区域分为4个等级,即高危险区(0.75~1)、较高危险区(0.5~0.75)、中等危险区(0.25~0.5)和低危险区(0~0.25)。同时,对比了由差分干涉测量短基线集时序分析(small baseline subset interferometric synthetic aperture radar,SBAS-InSAR)技术得到的4个区域滑坡实测结果和本文评价模型的分析结果。利用G1-熵权耦合赋权TOPSIS得到九龙县烟袋镇桤木林村高生地滑坡、新龙县和平乡甲西村麻西滑坡、德格县年古乡政府滑坡和甘孜县扎科乡达玛滑坡的贴近度分别为0.854、0.686、0.405和0.224,由SBAS-InSAR技术得到滑坡前缘局部变形速率分别为-150、-43、-66、30 mm/a,二者之间有显著的对应关系,证明本文评价模型的准确性。应用G1-熵权耦合赋权TOPSIS法对滑坡危险性评价具有较高的准确性,该方法可为其他地区滑坡地质灾害评价提供参考。
