Buscar
Mostrando ítems 11-20 de 1662
Influence of Wood Moisture Content on the Modulus of Elasticity in Compression Parallel to the Grain
(Universidade Federal de São Carlos (UFSCar), Dept Engenharia Materials, 2012-03-01)
Brazilian Standard ABNT NBR7190:1997 for timber structures design, adopts a first degree equation to describe the influence of wood moisture content. Periodically, when necessary, the referred standard is revised in order ...
Influence of Wood Moisture Content on the Modulus of Elasticity in Compression Parallel to the Grain
(Universidade Federal de São Carlos (UFSCar), Dept Engenharia Materials, 2012-03-01)
Brazilian Standard ABNT NBR7190:1997 for timber structures design, adopts a first degree equation to describe the influence of wood moisture content. Periodically, when necessary, the referred standard is revised in order ...
Influence of Wood Moisture Content on the Modulus of Elasticity in Compression Parallel to the Grain
(Universidade Federal de São Carlos (UFSCar), Dept Engenharia Materials, 2014)
Avaliação da relação entre a resistência ao cisalhamento e a resistência à compressão paralela às fibras de madeiras do grupo das folhosas
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Engenharia Civil - PPGECivCâmpus São Carlos, 2019-08-12)
Wood presents several advantages when compared with other materials employed in the civil construction sector. In Brazil, the standard ABNT NBR 7190: 1997 establishes test methods to determine physical and mechanical ...
Facial Recognition Using Neural Networks over GPGPU
(Centro Latinoamericano de Estudios en Informática, 2012)
Improved single and multiple approximate string matching
(SPRINGER-VERLAG BERLIN, 2004)
We present a new algorithm for multiple approximate string matching. It is based on reading backwards enough l-grams from text windows so as to prove that no occurrence can contain the part of the window read, and then ...
Parallelization of the Algorithm K-means Applied in Image Segmentation
(International Journal of Computer Applications, 2014-01-01)
Algorithm k-means is useful for grouping operations; however, when is applied to large amounts of data, its computational cost is high. This research propose an optimization of k-means algorithm by using parallelization ...
Special software for computing the special functions of wave catastrophes
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2015)