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Spatial multi-objective optimization approach for land use allocation using NSGA-II

Analysis and evaluation of land use patterns are of prime importance for natural resources management. Recent studies on land use allocation have been mainly based on linear programming optimization. Although these methods have the ability to solve multi-objective problems, spatial aspects of optimization are not considered when they are used for land use management. This study applied the non-dom

Seismic human loss estimation for an earthquake disaster using neural network

In Iran, earthquakes cause enormous damage to the people and economy. If there is a proper estimation of human losses in an earthquake disaster, it could be appropriately responded and its impacts and losses will be decreased. Neural networks can be trained to solve problems involving imprecise and highly complex nonlinear data. Based on the different earthquake scenarios and diverse kind of const

Automatic integration of spatial data in viewing services

Geoportals are increasingly used for searching, viewing, and downloading spatial data. This study concerns methods to improve the visual presentation in viewing services. When spatial data in a viewing service are taken from more than one source there are often syntactic, semantic, topological, and geometrical conflicts that prevent maps being fully consistent. In this study we extend a standard v

Colour Vision in Birds : Comparing behavioural thresholds and model predictions

Fåglar har relativt stora ögon för sina kroppsstorlekar och syn är en kostsam sinnesförmåga, speciellt för flygande djur eftersom stora ögon medför extra vikt. Man kan därför anta att fåglar använder synen för viktiga beteenden. De flesta fåglars färgseende är tetrakromatiskt, vilket innebär att fyra typer av fotoreceptorer bidrar till deras färgseende. Det innebär att deras färgseende har en extrBirds use colour vision for many biologically relevant behaviours such as foraging and mate choice. Bird colour vision is mediated by four types of single cones, giving them an extra dimension of colour information compared to trichromatic humans. The cone photoreceptors of birds have coloured oil droplets that are assumed to increase the discriminability of colours in bright light at the cost of

Model of Cholera Forecasting Using Artificial Neural Network in Chabahar City, Iran

Background: Cholera as an endemic disease remains a health issue in Iran despite decrease in incidence. Since forecasting epidemic diseases provides appropriate preventive actions in disease spread, different forecasting methods including artificial neural networks have been developed to study parameters involved in incidence and spread of epidemic diseases such as cholera.Objectives: In this stud

Way-finding lighting systems for rail tunnel evacuation: A virtual reality experiment with Oculus Rift

An experimental study has been conducted to investigate if a new and simple system, that is, stripes of high-bright dynamic green LED lights installed on the floor, can support people way-finding in smoke-filled railway tunnel evacuations. The impact of way-finding installations on people evacuation (intended as people movement paths and evacuation times) has been studied using Oculus Rift, a head

Häktning får inte användas som ett universalmedel

Under senare tid har det från olika håll påtalats att det finns allvarliga brister i det svenska häktningssystemet. Debatten har varit livlig och främst gällt det faktum att vi i svensk rätt inte har någon bortre gräns för hur lång tid en misstänkt kan vara häktad. Det har också hävdats att restriktionerna i samband med häktning ofta är alltför hårda och att de tillämpas på ett slentrianmässigt sä