International Journal of Geographical Information Science Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713599799 A hybrid interpolation method for the refinement of a regular grid digital elevation model W. Z. Shi a; Y. Tian ab a Advanced Research Centre for Spatial Information Technology, Department of Lan...

Fraudulent customers in smart power grids employ cyber-attacks by manipulating their meters and reporting false consumption readings to reduce bills. To combat these attacks mitigate financial losses, various machine learning-based electricity theft detectors have been proposed. Unfortunately, are vulnerable serious cyber-attacks, specifically evasion attacks. The objective of this paper is inv...

The deployment of distributed photovoltaics (PV) in low-voltage networks may cause technical issues such as voltage rises, line ampacity violations, and transformer overloading for distribution system operators (DSOs). These problems induce high grid reinforcement costs. In this work, we assume the DSO can control each prosumer's battery PV system. Under assumptions, evaluate cost providing fle...

Pavement structures cover vast areas of urban cities and non-urban roads play a key role in daily commuting functionality economic development; therefore, they must be conserved against any distress. The rutting problem, being major distress to the pavement structure, solved dealt with order preserve its value. One way solving this dilemma is by using geo-grids within structure. A geo-grid synt...

The paper “Monitoring and tracking the trans-Pacific transport of aerosols using multisatellite aerosol optical depth retrievals” by Naeger et al. describes a new merged AOD product, which integrates different existing and new Level 2 products from LEO and GEO satellite instruments. This merged AOD product is applied to monitor and track a trans-Pacific aerosol outbreak event from Asia to the U...

Increasing amounts of distributed generation in distribution networks can provide both challenges and opportunities for voltage regulation across the network. Intelligent control smart inverters other building energy management systems be leveraged to alleviate these issues. GridLearn is a multiagent reinforcement learning platform that incorporates models power flow achieve grid level goals, b...

Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing states of the world. This confounding of states, also referred to as perceptual aliasing, has serious effects on the ability of reinforcement learning algorithms to learn stable policies. Using simple grid world navigation pro...

Location service provides position of mobile destination to source node to enable geo-routing. In existing quorum-based location service protocols, destination node registers its location along a ‘column’ while source node makes a query along a ‘row’. Grid and quorumbased location service is based on division of network into square grids, and selecting ‘leader’ location server node in each grid...

Reinforcement Learning has been used for a number of years in single agent environments. This article reports on our investigation of Reinforcement Learning techniques in a multi-agent and adversarial environment with continuous observable state information. Our framework for evaluating algorithms is two-player hexagonal grid soccer. We introduce an extension to Prioritized Sweeping that allows...

Traditional methods using aerial photographs for shoreline measurement often involved non-stereo photography with no vertical information. However, digital elevation models (coastal elevation models or CEMs in our case) are widely used in GIS to predict the impact of coastal flooding and Sea Level Rise. Hence, we propose the CEM methodology to cope with computing shoreline position as the inter...