a study of changes in groundwater resources of najafabad plain is an important issue asregards water resources management, especially after dry becoming of zayandehroodriver. in the present study trend analysis was conducted on groundwater level of 33piezometeric stations, located in najafabad plain during 1374-1391 while using mann-kendall non-parametric test. the slope of trend line was estim...

forest road construction is the most costly operation in forestry. road designing and construction in unsuitable areas may increase construction and maintenance costs and also cause many environmental impacts. therefore, it is required to pay more attention to forest road design. in this research, we tried to introduce an appropriate method for locating forest roads using gis and ahp simultaneo...

Network traffic classification continues to be an interesting subject among numerous networking communities. This method introduces multi-beneficial solutions in different avenues, such as network security, network management, anomaly detection, and quality-of-service. In this paper, we propose a supervised machine learning method that efficiently classifies different types of applications usin...

quantifying spatial structure is one of the most important components, describing natural ecosystems and their biodiversity. in this study, a set of indices and functions related to spatial structure using 102 established plots with an area of 1000 m2 were presented. to achieve spatial structure of carpinus-fagus type, a set of indices (clark & evans, uniform angle, shannon-wiener, mingling and...

Abstract: Groundwater shortage has become a very serious problem in Sanjiang Plain. More and more so-called “funnels” and “hanging pumps” situations occurred due to water shortages. The overall trend of groundwater level has decreased continually over the years. In this study, the Chuang Ye Farm in Jian San Jiang Department was taken as an example to develop a non-stable time series random mode...

the present work was designed to classify and differentiate between the dehalogenase enzyme to non–dehalogenases (other hydrolases) by taking the amino acid propensity at the core, surface and both the parts. the data sets were made on an individual basis by selecting the 3d structures of protein available in the pdb (protein data bank). the prediction of the core amino acid were predicted by i...