Energy harvesting can be leveraged by Wireless Sensor Network (WSN) to address its energy-scarcity problem, giving rise to Energy Harvesting Wireless Sensor Network (EHWSN). Residual energy balancing of sensors is the key issue to avoid sensors’ failure and promise the network function of EHWSN. In this paper, by exploiting the sensors around the source and sink as relays, we propose a distribu...

a sensor network is made up of a large number of sensors with limited energy. sensors collect environmental data then send them to the sink. energy efficiency and thereby increasing the lifetime of sensor networks is important. direct transfer of the data from each node to the central station will increase energy consumption. previous research has shown that the organization of nodes in cluster...

This paper presents a comparison between parallel linear and parallel neural network models. Parallel models consist of 24 separate models, one for each hour of the day. Each parallel model decomposes the load into a linear AutoRegressive (AR) part and a residual. Exogenous linear and neural network model performance is compared in predicting this residual. Three days or 72 hours of current and...

Background & Aims of the Study: Saveh city -located in the semi-arid area in Iran- has brackish water and it was forced to use reverse osmosis desalting systems.  Water is not distributed through the distribution network to homes so, people have to buy water from certain places and transfer water through household storage vessel. They have to buy more water and keep it at home for more than 1 w...

A deep learning approach has been widely applied in sequence modeling problems. In terms of automatic speech recognition (ASR), its performance has significantly been improved by increasing large speech corpus and deeper neural network. Especially, recurrent neural network and deep convolutional neural network have been applied in ASR successfully. Given the arising problem of training speed, w...

Background & Aims of the Study:  Lack of access to safe drinking water can lead to undesirable aesthetic problems and adverse health effects such as infectious diseases. The aim of this study was to investigate the microbiological quality of the drinking water distribution network in Divandareh City (Kordestan-western Iran). Materials & Methods:  This study was ...

background: this study aimed to evaluated trends for iron and manganese concentrations in wells, reservoirs, and water distribution networks in qom city during the summer of 2012. methods: this was a cross-sectional study. the studied scopes consisted of groundwater (60 wells), reservoirs (10 tanks), and water distribution network (33 points). one sample was taken from each source monthly. stat...

State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...