Well-Being; Intelligent Systems; Sensor Networks The growth of personal sensors and the ability to sensorize attributes connected with the physical beings and environments are increasing. Initiatives such as Internet of Things (IoT)) aim to connect devices and people through communication channels in order to automate and fuel interaction. Targeted approaches can be found on the Smart Cities p...

Well log data analysis plays an important role in petroleum exploration. It is used to identify the potential for oil production at a given source and so forms the basis for the estimation of financial returns and economic benefits. In recent years, many computational intelligence techniques such as backpropagation neural networks (BPNN) and fuzzy systems have been applied to perform the task. ...

In this paper we compare three different soft computing methods used as the well log data analysis model in petroleum engineering. Due to the diversely behaving nature, namely, that each region has a unique geophysical characteristic it is difficult to build a universal model relating the mathematical behaviour of the measured variables. This is the reason why soft computing techniques may be f...

In this article we present a new class of traffic shapers that make up the shaping decision whether to delay or pass a packet by comparing a measured distribution specifying the arrival stream to a given reference distribution. Rather than simply comparing average values this shaper emits data streams with property ’better than reference distribution’ by employing a kind of nonparametric test. ...

Groundwater contamination by nitrate is a globally growing problem due to the population growth and increase of demand for food supplies.Increasing nitrate concentrations in soil solution and leaching into the ground water table cause water pollution and disturbs the ecological balance. In addition to natural nitrogen cycle, nitrate can be entered to soil and water from the human waste, urban a...

In order to master the development effect of polymer flooding well group, it is necessary accurately analyze influence different factors in whole process on index. Combined with principle big data analysis, based neighborhood rough set theory and Kmeans clustering algorithm, an intelligent analysis algorithm proposed determine achievement indicators group. Firstly, was used reduce attributes in...