Existing spatial decision support applications, implemented using the most recent tools in the area of spatial information manipulation and Graphical User Interface development, do not consider, in its functional flow, the dynamic spatial implications of relating and processing this information. It is necessary to incorporate spatial reasoning into application control. This can be achieved by a...

In this paper, we propose an object tracking framework based on a spatial pyramid heat kernel structural information representation. In the tracking framework, we take advantage of heat kernel structural information (HKSI) matrices to represent object appearance, because HKSI matrices perform well in characterizing the edge flow (or structural) information on the object appearance graph. To fur...

Organisational structures for multi-agent systems are usually defined independently of any spatial or temporal structure. Therefore, when the multiagent system is situated in a spatial environment, there is usually a conceptual gap between the definition of the system’s organisational structures and the definition of the environment. In this paper, we focus on a mechanism for the spatial distri...

Spatial prediction is to predict the values of targeted variable, such as PM2.5 and temperature, at arbitrary locations based on collected geospatial data. It greatly affects key research topics in geoscience terms obtaining heterogeneous spatial information (e.g., soil conditions, precipitation rates, wheat yields) for geographic modeling decision-making local, regional, global scales. In-situ...

Reliability of the communication system with spatial multiplexing has been studied. Increasing bandwidth radio channels due to is one most popular and relevant areas modern research in field communications. Solving problem time domain multipath propagation associated a significant increase dimension redundant calculations. Detection makes it difficult take into account frequency dependence ampl...

Decomposing 3D building models into architectural elements is an essential step in understanding their 3D structure. Although we focus on landmark buildings, our approach generalizes to arbitrary 3D objects. We formulate the decomposition as a multi-label optimization that identifies individual elements of a landmark. This allows our system to cope with noisy, incomplete, outlier-contaminated 3...