Search results for "feature"

Combining fuzzy C-mean and normalized convolution for cloud detection in IR images

2009

An important task for the cloud monitoring in several frameworks is providing maps of the cloud coverage. In this paper we present a method to detect cloudy pixels for images taken from ground by an infra-red camera. The method is a three-steps algorithm mainly based on a Fuzzy C-Mean clustering, that works on a feature space derived from the original image and the output of the reconstructed image obtained via normalized convolution. Experiments, run on several infra-red images acquired under different conditions, show that the cloud maps returned are satisfactory. © 2009 Springer Berlin Heidelberg.

Cover Feature: Research Data in Chemistry – Results of the first NFDI4Chem Community Survey (Z. Anorg. Allg. Chem. 23‐24/2020)

2020

Field-induced slow magnetic relaxation and magnetocaloric effects in an oxalato-bridged gadolinium(iii)-based 2D MOF

2021

The coexistence of field-induced slow magnetic relaxation and moderately large magnetocaloric efficiency in the supra-Kelvin temperature region occurs in the 2D compound [GdIII2(ox)3(H2O)6]n·4nH2O (1), a feature that can be exploited in the proof-of-concept design of a new class of slow-relaxing magnetic materials for cryogenic magnetic refrigeration.

Cover Feature: A Route toward (Aminomethyl)cyclopentadienide Ligands and Their Group 4 Metal Complexes (Eur. J. Inorg. Chem. 34/2018)

2018

Cover Feature: Cyanido‐Bridged Fe II –M I Dimetallic Hofmann‐Like Spin‐Crossover Coordination Polymers Based on 2,6‐Naphthyridine (Eur. J. Inorg. Che…

2018

Cover Feature: Design of Magnetic Coordination Polymers Built from Polyoxalamide Ligands: A Thirty Year Story (Eur. J. Inorg. Chem. 3‐4/2018)

2018

A non-parametric Scale-based Corner Detector

2008

This paper introduces a new Harris-affine corner detector algorithm, that does not need parameters to locate corners in images, given an observation scale. Standard detectors require to fine tune the values of parameters which strictly depend on the particular input image. A quantitative comparison between our implementation and a standard Harris-affine implementation provides good results, showing that the proposed methodology is robust and accurate. The benchmark consists of public images used in literature for feature detection.

An overview of the Ephydridae (Diptera) of Saudi Arabia

2019

Despite the species richness of Ephydridae world-wide (2000 species) and its prominent environmental roles as a minor pest and as a food for wildlife, only 13 species have been recorded from Saudi Arabia. Between 2012 and 2016, a biodiversity study of Diptera was conducted at Jazan, Asir, and Najran in south-western Saudi Arabia, at 22 sites, was performed mainly using Malaise traps and sweep nets. In this study, 43 known species of Ephydridae were identified, 37 of them for the first time from southwestern Saudi Arabia and 16 from Arabian Peninsula. This brings the total number of Ephydridae species in Saudi Arabia to 49 (including previous records). There were a further four species, whic…

Dinotrema cavernicola sp. n. (Hymenoptera, Braconidae, Alysiinae), a new species of the genus Dinotrema Foerster from caves of Spain

2014

Dinotrema cavernicola sp. n. was collected in two caves in Spain. This is the first Dinotrema species known to occur in caves. This new species is described and compared to D. affine (Fischer, 1973) and D. collybiae Munk & Peris-Felipo, 2014, species sharing a mid-longitudinal carina on the propodeum.

Architectural improvements and FPGA implementation of a multimodel neuroprocessor

2003

Since neural networks (NNs) require an enormous amount of learning time, various kinds of dedicated parallel computers have been developed. In the paper a 2-D systolic array (SA) of dedicated processing elements (PEs) also called systolic cells (SCs) is presented as the heart of a multimodel neural-network accelerator. The instruction set of the SA allows the implementation of several neural algorithms, including error back propagation and a self organizing feature map algorithm. Several special architectural facilities are presented in the paper in order to improve the 2-D SA performance. A swapping mechanism of the weight matrix allows the implementation of NNs larger than 2-D SA. A systo…