The study tested whether place attachment enhances the place satisfaction among visitors of the multiplex cinema in Tehran-Iran. Structural equation modeling was employed on a sample of 220 visitors. Regression models were estimated to test the relationship of place attachment and place satisfactions of visitors. Place attachment has the four dimensions of place dependence, place identity, plac...

This study examined the relationship between hippocampal place fields and spatial working memory. Place cells were recorded while rats solved a spatial working memory task in light and dark testing conditions. Rats made significantly more errors when tested in darkness, and although place fields changed in multiple ways in darkness, only changes in place field specificity predicted the degree o...

Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. Several variants of the original algorithm have been proposed. This paper proposes a variant of the PSO technique named Independent Neighborhoods Particle Swarm Optimization (INPSO) dealing with sub-swarms for solving the well known geometrical place problems. Finding t...

Ultra-wideband (UWB) time difference of arrival (TDOA)-based localization has recently emerged as a promising indoor positioning solution. However, in cluttered environments, both the UWB radio positions and obstacle-induced non-line-of-sight (NLOS) measurement biases significantly impact quality position estimate. Consequently, placement radios must be carefully designed to provide satisfactor...

Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic technique is often used to learn classifiers with high F-measure, although this particular application of SVMs has not been rigorously examined. We provide significant and new theoretical results that support this popular he...

This paper presents a novel method to optimize the process of finding paths using a model based on Genetic Algorithms and Best-First-Search for real time systems, such as video games and virtual reality environments. The proposed solution uses obstacle pattern detection based at online training system to guarantee the memory economy. The architecture named Patterned based Pathfinding with Genet...