slope

摘要： Groundwater accounts for about half of the water use for irrigation in India.The fluctuation pattern of the groundwater level is examined by observing rainfall replenishment and monitoring wells.The southern part of Rajasthan has experienced abrupt changes in rainfall and has been highly dependent on groundwater over decades.This study presents the impact of over-dependence on groundwater usage for irrigation and other purposes,spatially and temporally.Hence,the objective of this study is to examine the groundwater level trend by using statistical analysis and geospatial technique.Rainfall factor was also studied in groundwater level fluctuation during 2009-2019.To analyze the influence of each well during recharge or withdrawal of groundwater,thiessien polygonswere generated from them.In the Jakham River basin,75 wells have been identified for water level trend study using the Mann-Kendall statistical test.The statistics of trend analysis show that 15%wells are experiencing water level decline in pre-monsoon,while very low percentage of wells have such trend during post-monsoon season.The average rate of water level decline is 0.245 m/a in pre-monsoon and 0.05 m/a in post-monsoon.The aquifer recharge potential is also decreasing by year.it is expected that such type of studies will help the policy makers to adopt advanced management practices to ensure sustainable groundwater resource management.

摘要： Identification,protection and restoration of spawning habitats are vital for protecting the depleted species.Asian horseshoe crabs are ecologically important macroinvertebrates in coastal and estuarine ecosystems.However,their spawning habitat studies were limited to several reports in tropical regions,possibly due to the lack of modified survey methods,particularly in habitats with a lower density of spawning adults,and/or intermingled with anthropogenic structures.In this study,the year-round egg distribution and spawning habitat baselines of Carcinoscorpius rotundicauda and Tachypleus tridentatus were determined in the northern Beibu Gulf,China.Our findings demonstrated that the peak spawning occurred in June–July and ceased in November–January when the average water temperature dropped below 20°C.Egg aggregations were found<10 cm beneath the sediment surface with regular tidal inundation,regardless of seasonal changes,in the vicinity of natural and artificial structures with elevated,mildly sloping substratum within the high tide zones.The nests were characterized by medium-sized sediment grains(0.5–0.9 mm),high temperatures(31–34°C),low water contents(0.8%–0.9%),and total organic carbon contents(0.5%–0.7%),which might maximize the hatching success.The identified nesting beaches were close to nursery habitats for juveniles,and tidal creeks were present as the possible corridor connecting these two important habitats through the dominant mangrove forests.The findings provide valuable insights in the scope of spawning behavior and nest-site selection of Asian horseshoe crabs under a mixture of natural and artificial structures,which could benefit future management efforts for the exploited spawning populations.

摘要： To research how planting Sedum spectabile affects Cd loss, in this experiment, the impact of soil pollution level (low, medium, high), rainfall intensity (30, 60, 90 mm·h-1), and slope (6°, 12°, 18°, 24°) on Cd concentration in soil and runoff after planting Sedum spectabile are investigating using an indoor artificial rainfall simulation method. The results showed that: 1) The mean values of agricultural soils in the study area reached 38.52 and 1073.28 mg·kg-1 for Cd and Zn, respectively, which were 176.70 and 11.96 times higher than the background values of soil environment in southern Yunnan. 2) The decrease of total Cd in the soil after planting Sedum spectabile ranged from 17.52% to 31.09%, and the decrease of effective state Cd ranged from 14.36% to 21.81%. The higher the pollution level, the more significant the decrease of effective state Cd. 3) After 120 days of planting, the Cd concentration in runoff decreased between 22.40% and 89.23% compared to 15 days, with the more significant decrease in low Cd pollution, 90 mm·h-1 rainfall, medium Cd pollution, 30 mm·h-1 rainfall, and high Cd pollution, 90 mm·h-1, reaching 81.14% - 87.43%, 82.21% - 89.00%, and 37.57% - 89.23%. 4) The pollution level and rainfall intensity were significantly and positively correlated with Cd concentration in runoff at 15 and 120 days of planting Sedum spectabile, with correlation coefficients of 0.498, 0.641, and 0.435, 0.464. Research shows that planting Sedum spectabile can reduce the Cd concentration in soil and runoff, which is essential for the remediation of Cd-contaminated farmland.

摘要： It is an important issue for sustainable economic development to give consideration to both project development and environmental protection.At present,we must confront and seriously deal with the problems of rational utilization of resources,protection of the environment and beautification of the environment in engineering construction.This paper describes a variety of slope plant protection technology,which can not only play a good role in slope protection,but also improve the engineering environment and reflect the beauty of natural environment,so as to provide reference for slope ecological protection.

摘要： Slope ecological protection technology is a form of slope protection with high ornamental and good economic value.At present,it is widely used in highways and urban streets’slope protection works.However,its use is not very common in mountain tourism highways;hence,it is necessary to implement strategies for mountain tourism highway slope ecological protection design to promote excellent development.

摘要： In this study,it is aimed to develop an encryption algorithm by finding a third point based on the line equation and the two points taken on it.In the literature review,a method was found to find the third point based on the two points given on the elliptic curves y2=x3+a·x+b,where a and b are real numbers.However,it has not been found adapted to the correct equation.In this study,it is proved that this method,which is primarily used in elliptic curves,is provided in line equations that intersect both axes.Then,using this method,an encryption algorithm has been made by connecting the points where the axes are cut to ASCII Character Codes and finding the third point.Thanks to the algorithm,an encryption consisting of two numbers was made for these binary characters by taking binary characters for each character of a secret text.This algorithm has some differences from other algorithms.The first of these is that normal encryption algorithms generate a separate password for each character,while a password is created for two characters in the algorithm.The second difference is that a character can be encoded in infinitely different ways due to the formation of the algorithm.When the software of this algorithm is made,it can be used in every field where Elliptic Curve Algorithm is used.In addition,instead of finding only a third point in encryption with the correct equation,studies can be done to create different algorithms by finding a different number of third points.

摘要： The existence of soil macropores is a common phenomenon.Due to the existence of soil macropores,the amount of solute loss carried by water is deeply modified,which affects watershed hydrologic response.In this study,a new improved BP(Back Propagation)neural network method,using Levenberg–Marquand training algorithm,was used to analyze the solute loss on slopes taking into account the soil macropores.The rainfall intensity,duration,the slope,the characteristic scale of macropores and the adsorption coefficient of ions,are used as the variables of network input layer.The network middle layer is used as hidden layer,the number of hidden nodes is five,and a tangent transfer function is used as its neurons transfer function.The cumulative solute loss on the slope is used as the variable of network output layer.A linear transfer function is used as its neurons transfer function.Artificial rainfall simulation experiments are conducted in indoor experimental tanks in order to verify this model.The error analysis and the performance comparison between the proposed method and traditional gradient descent method are done.The results show that the convergence rate and the prediction accuracy of the proposed method are obviously higher than that of traditional gradient descent method.In addition,using the experimental data,the influence of soil macropores on slope solute loss has been further confirmed before the simulation.

摘要： In the framework of complete metric spaces, this paper provides several suffcient conditions for the well-posedness with respect to an admissible function, which improves some known results on error bounds. As applications, we consider the generalized metric subregularity of a closed multifunction between two complete metric spaces with respect to an admissible function Φ. Even in the special case when Φ(t)= t, our results improve(or supplement) some results on error bounds in the literature.

摘要： The purpose of this paper is to characterize rock mass stability using basic rock mass method and to compare them. Rock mass quality and strength are determined using rock mass classification and numerical methods. The Factors of safety are calculated with the results of stereographic projection. Results show that quality of ultrabasite and marble are better than quality of andesite. The Slope Mass Ratings (SMR) show that rocks with the best quality are stable and andesite partially stable. The calculation of the factors of Safety by limit equilibrium assigns a stable state for ultrabasite and marble and instable for andesite. Calculation of Safety factor using stereographic parameters in one hand and finite element code in another shows more possibility of planar sliding along discontinuities than rock matrix failure. At last, quality of endogeneous rock mass is correlated with its stability state. The better rock mass is, the more stable the rock it is.

摘要： Fault diagnosis is very important for development and maintenance of safe and reliable electronic circuits and systems. This paper describes an approach of soft fault diagnosis for analog circuits based on slope fault feature and back propagation neural networks (BPNN). The reported approach uses the voltage relation function between two nodes as fault features; and for linear analog circuits, the voltage relation function is a linear function, thus the slope is invariant as fault feature. Therefore, a unified fault feature for both hard fault (open or short fault) and soft fault (parametric fault) is extracted. Unlike other NN-based diagnosis methods which utilize node voltages or frequency response as fault features, the reported BPNN is trained by the extracted feature vectors, the slope features are calculated by just simulating once for each component, and the trained BPNN can achieve all the soft faults diagnosis of the component. Experiments show that our approach is promising.

摘要： 本发明公开了一种基于加权Slope one和双重信任的协同推荐算法，包括以下步骤：步骤1：采用加权Slope One算法对原始评分矩阵进行第一阶段的填充；步骤2：采用均值法对冷启动用户的评分进行填充，完成第二阶段的评分矩阵填充；步骤3：基于填充后的用户评分矩阵，引入用户的评分相似度对原始信任关系进行重解构；步骤4：基于重解构的用户信任矩阵和填充后的用户评分矩阵，从显式信任与隐式信任两个角度出发，建立用户双重信任计算模型；步骤5：基于填充后的用户评分矩阵，将双重信任计算模型与基于矩阵分解的推荐模型进行融合，通过梯度下降获得用户潜在特征矩阵和项目潜在特征矩阵，进而完成对目标用户的推荐。

摘要： 本发明公开了一种融合FP‑growth算法和Slope One算法的混合推荐模型，该模型采用FP‑growth算法和Slope One算法使得推荐结果更加准确。

摘要： 基于聚类和Slope One预测的协同过滤方法。针对传统协同过滤算法用户评分矩阵稀疏和扩展性问题，引入项目属性相似性改善Slope One预测模型，并将其与基于用户的聚类相结合应用于协同过滤推荐，以降低用户评分矩阵的稀疏性，提高目标用户最近邻居的查询速度，降低搜索开销。实验结果表明，本发明的协同过滤方法有效地提高了推荐质量。

摘要： 一种融合相似度与时间衰减的改进slope one算法，涉及推荐算法领域。改进传统算法中评分偏差的计算方式，加入用户相似度。本发明提出一种适用于slope one的时间衰减函数，与项目相似度进行拟合，作为评分预测公式中的权重。改进后的slope one算法不仅考虑到用户与项目的差异，也将评分的时效性作为预测的影响因素，提高了推荐的准确度和有效性。

摘要： 本发明公开了一种基于Hadoop技术的slope one加权算法，根据给出的用户评分文件，求出每个用户对电影的评分矩阵；建立电影的同现矩阵；统计同时看过两部电影的人数；获取所有用户评过分的电影，并输出每位用户对每部电影的评分，未评过则记为0；计算得出用户评价过的电影评分加上预测电影与该电影的平均差的和；统计得出每个用户对每个预测电影和另一部评价过的电影，且也评价过的其他用户对此电影评价的加权值之和及同时评价过这两部电影的用户数；计算获取用户对未评价的电影的预测值。本发明计算更便捷，可一次性计算出多个待评价电影的预测值。

摘要： 本发明公开了一种基于商品相似度的改进slope one协同过滤推荐算法，包括如下步骤：计算商品之间的数值型属性距离；商品名称型属性的编码转换；计算商品之间的名称型属性距离；计算商品与商品之间的距离；确定备选集合；得到客户互动得到的商品集合；按照slopeone协同过滤推荐算法得到商品的推荐集合；将候选集里的商品按照商品的相似度进行排序；得出最后的推荐集合；根据Top‑N排序算法为客户呈现商品推荐。本发明定义了商品的属性和客户针对商品的互动信息的相似度计算公式，基于某电子商务平台站点提供的商品数目、客户数目、客户对商品的浏览信息以及商品的稀疏度等信息，进行了仿真实验，证明了本方法的有效性。

摘要： 本发明涉及用户—项目数据的分析领域，设计了一种近邻聚类算法和slopeone算法相结合的改进推荐方法。本方法结合k-means聚类和slopeone算法，首先使用k-means聚类方法为用户找到相似的个项目组成邻近项目集合，然后采用slopeone算法计算用户—项目调查数据表，最后预测数据并推荐给用户。本方法着重解决的问题是在预测用户受到项目调查可能性的过程中，考虑了数据项目之间的相似性，从而使算法预测的结果更加准确。将预测调查可能性的问题转换成一个项目推荐问题来解决，采用基于邻近项目的slopeone算法预测用户被调查的可能性，帮助用户提前做好相关的防范工作。