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3D NETWORK ANALYSIS FOR INDOOR SPACE APPLICATIONS
Indoor space 3D modeling network analysis ArcScene geoprocessing model Network Analyst CityEngine
2016/10/14
Indoor space differs from outdoor environments, since it is characterized by a higher level of structural complexity, geometry, as well as topological relations. Indoor space can be considered as the ...
THE UNIFIED LEVELLING NETWORK OF SARAWAK AND ITS ADJUSTMENT
Sarawak precise levelling network least–squares adjustment MoreFix levelling adjustment package
2016/10/14
The height reference network of Sarawak has seen major improvement in over the past two decades. The most significant improvement was the establishment of extended precise leveling network of which is...
The response of the ionosphere to faint and bright solar flares as deduced from global GPS network data
ionopshere Total Electron Content
2015/9/25
Results derived from analysing the ionosphere response to faint and bright solar flares are presented. The analysis used technology of a global detection of ionospheric effects from solar flares as de...
A new approach for residual gravity anomaly profile interpretations: Forced Neural Network (FNN)
Forced Neural Network gravity anomaly modeling synthetic model Gulf of Mexico
2015/9/8
This paper presents a new approach for interpretation of residual gravity anomaly profiles, assuming horizontal
cylinders as source. The new method, called Forced Neural Network (FNN), is introduced ...
COASTAL OCEAN OBSERVING NETWORK – OPEN SOURCE ARCHITECTURE FOR DATA MANAGEMENT AND WEB-BASED DATA SERVICES
Coastal Ocean Observation Ocean Data Management Open Source Visualisation
2014/4/28
The observations from the oceans are the backbone for any kind of operational services, viz. potential fishing zone advisory services,
ocean state forecast, storm surges, cyclones, monsoon variabili...
Neural-network-based prediction techniques for single station modeling and regional mapping of the foF2 and M(3000)F2 ionospheric characteristics
Neural-network-based prediction techniques single station modeling regional mapping ionospheric characteristics
2009/11/12
In this work, Neural-Network-based single-station hourly daily foF2 and M(3000)F2 modelling of 15 European ionospheric stations is investigated. The data used are neural networks and hourly daily valu...
Neural network prediction of geomagnetic activity:a method using local Hölder exponents
Neural network prediction geomagnetic activity local Hö lder exponents
2009/11/12
Local scaling and singularity properties of solar wind and geomagnetic time series were analysed using Hölder exponents . It was shown that in analysed cases due to the multifractality of fluctua...
Total ozone time series analysis:a neural network model approach
Total ozone time series analysis neural network model approach
2009/11/11
This work is focused on the application of neural network based models to the analysis of total ozone (TO) time series. Processes that affect total ozone are extremely non linear, especially at the co...
An artificial neural network predictor for tropospheric surface duct phenomena
artificial neural network predictor tropospheric surface duct phenomena
2009/11/3
In this work, an artificial neural network (ANN) model is developed and used to predict the presence of ducting phenomena for a specific time, taking into account ground values of atmospheric pressure...
Study of Latitudinal, Diurnal and Seasonal Variation of Ionospheric Absorption According to Observations of the Riometer Network in Finland
Variation Ionospheric Absorption Observations Riometer Network Finland
2009/6/16
Study of Latitudinal, Diurnal and Seasonal Variation of Ionospheric Absorption According to Observations of the Riometer Network in Finland.
