abstract information about the spatial patterns of soil biodiversity is limited though required, e.g. for understanding effects of biodiversity on ecosystem processes. this study was conducted to determine whether soil macrofauna biodiversity parameters display spatial patterns in the riparian forest landscape of karkhe. soil macrofauna were sampled using 200 sampling point along parallel trans...

spatial pattern of trees is an important characteristic of plant communities. generating hypotheses relating to the structure of ecological communities is the aim of spatial pattern recognition. stands spatial patterns are measured and mapped by measuring tree locations in the stand and entering each coordinates into analytical frameworks. the spatial pattern of plant populations observed at an...

this study aims at analyzing spatial pattern and associations of fagus oriantalis lipsky in different vertical classes in intact beech forests. data collection was done in 25 ha plot in gorazbon district of educational and experimental forests of university of tehran. species and dbh of all trees with dbh > 7.5 cm were recorded. the location of each tree was determined using azimuth and distanc...

finger vein is one of the most fitting biometric for identifying individuals. in this paper a new method for finger vein recognition is proposed. first the veins are extracted from finger vein images by using entropy based thresholding. in finger vein images the veins are appeared as dark lines. the method extracts veins as well, but the images are noisy, that means in addition to the veins the...

Searching for targets in large volume imagery is a challenging problem. A potentially promising solution, rapid image triage (RAIT), is essentially a cortically-coupled computer vision technique based on single-trial detection of event-related potentials (ERP). This paper presents a novel feature selection method, termed common spatio-temporal patterns (CSTP), which is critical for robust singl...

The common spatial pattern (CSP) algorithm is effective in decoding the spatial patterns of the corresponding neuronal activities from electroencephalogram (EEG) signal patterns in brain–computer interfaces (BCIs). However, its effectiveness depends on the subject-specific time segment relative to the visual cue and on the temporal frequency band that is often selected manually or heuristically...