The purpose of this paper is to classify the LISS-III satellite images into different classes as agriculture, urban and water body. Here pixel based classification is used to classify each pixel of the satellite image as belonging to one of those three classes. To perform this classification, a neural network back propagation technique is used. The neural network consists of three layers: Input...

according to the current challenges toward low water use efficiency in agriculture, paying attention to the role of public participation in order to improve irrigation efficiency and effectiveness with useful methods and tools is essential. hence, approaches such as participatory irrigation management has been proposed and applied. after the primary investigation in this study, experiences of i...

Robustness of water distribution networks is related to their connectivity and topological structure, which also affect their reliability. Flow entropy, based on Shannon’s informational entropy, has been proposed as a measure of network redundancy and adopted as a proxy of reliability in optimal network design procedures. In this paper, the scaling properties of flow entropy of water distributi...

in wireless sensor networks, optimal consumptionof energy and having maximum life time are important factors. in this article attempt has been made to send the data packets with particular reliability from the beginning based on aodv protocol. in this way two new fields add to the routing packets and during routing and discovering of new routes, the lowest remained energy of nodes and route tra...

limitation of water resources in the earth has turned it as a valuable economic commodity. accordingly, the agricultural sector of which according to studies has the largest wasted water should be managed. therefore, it is advisable to use the application of methods and programming models such as the decision support system along with the abilities of gis in order to management of the water res...

water is the most essential component for sustaining lives of humans and other living creatures. supplying potable water with adequate residual pressure is a fundamental responsibility of city administration, which they do during normal conditions. but sometimes, abnormal conditions are formed resulting pressure deficient conditions during the daily operations of water distribution networks. th...

V.V. Migunov, R.R. Kafiyatullov, I.T. Safin. The modular technology of development of the CAD expansions: profiles of outside networks of water supply and water drain // Izvestiya of the Tula State University/ Ser. Mathematics. Mechanics. Informatics. Tula: TSU, 2003. V._. N _. P. __–__. The modular technology of development of the problem-oriented CAD expansions is applied to a task of designi...

These are the guidelines for the program Generalised Regression Neural Networks (GRNNs). Engineering has been researching the use of artificial neural networks (ANNs) for water resources modeling applications, such as flow forecasting, water quality forecasting and water treatment process modeling since the early 1990s. While Multi‐Layer Perceptrons (MLPs) are the most widely used ANN architect...

watershed outflow has influenced by different factors such as climatic, human and physical aspects and this variability of effective factors can cause complex conditions, difficulty of flow forecasting and it mainly originates by different local and temporal scales of these factors. also, some remote meteorological signals can cause changes in meteorological conditions in different regions. hab...

At present, although methods of automatic, periodical manual data collection have been adopted in some areas, there are many problems existing in these methods. This paper proposes a new framework for online monitoring of water environment based on overlay network technology. Especially, we build the multi-level overlay network, which consists of the GPRS networks, mobile networks and internet ...