Integration of artificial intelligence with meta classifiers for the gully erosion susceptibility assessment in Hinglo river basin,Eastern India

The main aim of this study is to evaluate the gully erosion susceptibility coupling the artificial intelligence and machine learning ensemble approaches. In the present study, the multilayer perceptron neural network (MLP) was used as the base classifier and the hybrid ensemble machine learning methods i.e. Bagging and Dagging were used as the functional classifiers. The Hinglo river basin, an important tributary of the Ajay River was selected as the study area, consists with the parts of Chhotonagpur plateau and Rarh lateritic region. The study area is facing the gully erosion problems which are interrupted the growth of the agriculture. The gully erosion susceptibility maps (GESMs), prepared by MLP, MLP-Bagging and MLP-Dagging were classified into four classes such as low, moderate, high and very high susceptibility classes with the help of natural break method (NBM) in GIS environment. The very high susceptibility class covered 19.41% (MLP), 13.52% (MLP-Bagging) and 15.30% (MLP-Dagging) areas of the basin. For the evaluation and comparison of the models, receiver operating characteristics (ROC), accuracy, mean absolute error (MAE) and root mean square error (RMSE) were applied. Overall, all the gully erosion susceptibility models were performed as excellent. Integration of hybrid ensemble models with MLP has increase the accuracy of the MLP models. Among these models MLP-Dagging has achieved the highest accuracy in compare to the other models. The importance of the selected factors in the present study was assessed by the Relief-F method. The results show that the soil type factor has the highest predictive performance. Sensitivity analysis also showed soil type as most important factor. The gully erosion susceptibility maps (GESMs) are considered as the efficient tool which could be used to take the necessary steps for mitigating and controlling the soil erosion problem and sustainable environmental management and development.     

RS-GIS based morphometrical and geological multi-criteria approach to the landslide susceptibility mapping in Gish River Basin,West Bengal,India

Darjeeling Himalaya is one of the several mountainous areas of India which is often suffered from landslide hazards. In this paper, a multi criteria evaluation is applied using 16 morphometric indicators, geology and lineaments to identify the areas vulnerable in respect to drainage and relief conditions. As both drainage and relief parameters exert strong influences on landslide intensity, both the diversity maps are integrated for final landslide susceptibility mapping. The obtained results show that 20.17?sq.?km (7.61%) area within the basin is highly susceptible for landslides, where average drainage density is 3.78?km/sq.?km, relative relief is greater than 408?m and slope is greater than 12°. The validation result shows that very high landslide susceptible zone is associated with very high frequency of landslide occurrence. Beside this, ROC curve also suggests good predicted rate (86.60%) for the model. So, the proposed method can be applied for predicting landslide susceptible zone.     

Hot-cracking susceptibility and shear fracture behavior of dissimilar Ti6Al4V/AA6060 alloys in pulsed Nd:YAG laser welding

Laser welding of dissimilar titanium/aluminum alloys has been employed at an increasing rate, particularly in the aerospace industry, owing to its advantages in terms of current design flexibility and fuel/cost savings. The major problem with dissimilar Ti/Al welds arises from the difference in the thermal expansion and contraction of the two metals, which leads to hot-cracking susceptibility and the mitigation of the mechanical property after welding. In the present study, pulsed Nd:YAG laser welding of Ti6Al4V and AA6060 has been addressed. Hot-cracking susceptibility in the heat affected zone and the shear fracture behavior of the lap joints were investigated through microstructural characterization and mechanical tests. The results indicate that the hot cracking tendency can be reduced by increasing the pulse peak power (7.5–8.5 kW) and the laser point diameter (0.8–1.0 mm) with specific pulse duration and overlap. An alternative control strategy for less hot cracks in the Ti/Al lap joint can be to increase the weld width and decrease the cooling rate during solidification. The shear fracture of the Ti/Al lap joint is likely to occur along the lower side path of the weld interface with decreasing weld surface collapsed amount and increasing aluminum base metal melt depth.     

Prediction of landslides using ASTER imagery and data mining models

The aim of this study was to identify landslide-related factors using only remotely sensed data and to present landslide susceptibility maps using a geographic information system, data-mining models, an artificial neural network (ANN), and an adaptive neuro-fuzzy interface system (ANFIS). Landslide-related factors were identified in Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite imagery. The slope, aspect, and curvature of topographic features were calculated from a digital elevation model that was made using the ASTER imagery. Lineaments, land-cover, and normalized difference vegetative index layers were also extracted from the imagery. Landslide-susceptible areas were analyzed and mapped based on occurrence factors using the ANN and ANFIS. The generalized bell-shaped built-in membership function of the ANFIS was applied to landslide susceptibility mapping. Analytical results were validated using landslide test location data. In the validation results, the ANN model showed 80.42% prediction accuracy and the ANFIS model showed 86.55% prediction accuracy. These results suggest that the ANFIS model has a better performance than does the ANN in predicting landslide susceptibility.     

基于序列二次规划的PIO易感性时域评估方法

时域Neal-Smith准则是评估PIO易感性比较理想的量化准则,但驾驶员的自适应特性给该准则的使用带来了困难。以某机型为算例,将序列二次规划算法应用于时域Neal-Smith准则,对其PIO易感性进行了评估。评估结果表明,将序列二次规划算法用于时域Neal-Smith准则来评估飞机的PIO易感性是可行的。     

铁磁试件应变损伤微结构蜕变的灵敏微分磁导率评价

为了精确检测和早期评价铁磁试件的应力集中状况和疲劳损伤程度,对灵敏微分磁导率检测技术进行了理论分析和试验研究。探讨了灵敏微分磁导率检测技术的基本原理和基本特征,研制搭建了灵敏微分磁导率检测的试验平台,对部分碳素钢结构材料的灵敏微分磁导率进行了测量,并采用测量低场磁化曲线的方法对碳素钢材料的灵敏微分磁导率进行了测量验证。理论证明了检测信号与微分磁导率成正比,试验发现20钢、35钢和235钢的灵敏微分磁导率即初始微分磁导率,并与振动样品磁强计低场磁化曲线的测量结果一致。对20钢,当拉应力接近断裂强度时,灵敏微分磁导率的变化量可达30%;对45钢,当拉应力接近断裂强度时,灵敏微分磁导率的变化量可达35%。可见,灵敏微分磁导率检测技术是一种新的高精度测量应力分布的检测方法,具有广阔的应用前景。     

双测试区GTEM室设计

吉赫兹横电波室(GTEM室)是一种重要的电磁兼容试验设备,与传统的开阔场及微波暗室相比,GTEM室具有场强大、能量利用率高等优点。本文设计了一个用于电磁辐射敏感度测试的GTEM室,有主、副两个测试区域,其工作频率为DC-4GHz,可产生超过400V/m的场强。     

战术机动对飞机作战生存力的影响研究

战术作为飞机生存力的影响因素,只被定性的提出.为定量化研究战术对飞机作战生存力的影响效果,以战术机动为例,建立了比例导引导弹在水平平面内对飞机的攻击模型;对飞机实施常规的盘旋机动规避导弹进行了仿真,验证了所建模型的合理性;假设机动的初始方向为随机量,采用蒙特卡罗方法,讨论了飞机实施超机动的初始距离与飞机生存概率的关系;...     

运输类飞机平尾失速敏感性及其试飞技术研究

从平尾失速理论研究出发,探讨了可能产生平尾失速的飞行状态,总结了可用于运输类飞机平尾失速敏感性研究的飞行试验技术,研究了平尾失速和机翼失速的相互区别,帮助飞行员在遇到机翼失速或平尾失速时进行必要的清晰判断,并采取适当的改出方法,从而保证飞机飞行安全.研究结果可为未来大型运输类飞机平尾失速敏感性试飞提供很好的技术支持.