Musée littéraire : choix de littérature contemporaine française et étrangère. Série 40

Collection : Le siècle ; 1-46

Resolución N° 40 ¿Puede el consejo de administración proceder a la toma de decisiones cuando los efectos de la inscripción se encuentra suspendidos?. ¿En que casos la autoridad de registro puede ser considerada como tercero? ¿Cuál es la función de la certificación que hace la cámara de comercio en el registro mercantil?

Servicios registrales

Resolución N° 40 del 15 de marzo de 2007 ¿Puede el consejo de administración proceder a la toma de decisiones cuando los efectos de la inscripción se encuentra suspendidos?. ¿En que casos la autoridad de registro puede ser considerada como tercero? ¿Cuál es la función de la certificación que hace la Cámara de Comercio en el registro mercantil?

Servicios registrales

New-England Palladium Vol. XLI No. 40- May 18, 1813

A four page, semi-weekly paper that was published from 1803 to 1814.

New-England Palladium Vol. 40 No. 33- October 23, 1812

A four page, semi-weekly paper that was published from 1803 to 1814.

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA R CUDA TM

Genetic Programming (GP) is a widely used methodology for solving various computational problems. GP's problem solving ability is usually hindered by its long execution times. In this thesis, GP is applied toward real-time computer vision. In particular, object classification and tracking using a parallel GP system is discussed. First, a study of suitable GP languages for object classification is presented. Two main GP approaches for visual pattern classification, namely the block-classifiers and the pixel-classifiers, were studied. Results showed that the pixel-classifiers generally performed better. Using these results, a suitable language was selected for the real-time implementation. Synthetic video data was used in the experiments. The goal of the experiments was to evolve a unique classifier for each texture pattern that existed in the video. The experiments revealed that the system was capable of correctly tracking the textures in the video. The performance of the system was on-par with real-time requirements.

HG 244.40-244.50-A Thin Section

Dark brown sediment with sub-angular to sub-rounded clasts. Rotation structures and lineations are common. Clasts ranging from small to large in size. Many large grains are fractured. Minor amounts of grain stacking and crushing can be seen. A few clay and organic rich domains can be seen.

HG 244.40-244.55-B Thin Section

Coarse grained sample with sub-angular to sub-rounded clasts ranging from small-large in size. Rotation structures, grain crushing and lineations were seen throughout the sample.

HG 249.40-249.55 Thin Section

Coarse grained sample with clasts ranging from small to medium. Clast shape ranges from angular to sub-angular. Lineations and rotation structures seen. Clay material and fine grained domains (darker colour) also seen.

HG 268.40-268.55 Thin Section

This is a coarse grained sample with some very fine grained domains throughout the sample. The clast shape and size range from small to large, as well as angular to sub-rounded. Grain crushing is the most prevalent in this sample. It also contains some rotation structures and minor necking structures. Lineations and grain stacking can also be seen.

HG 291.40-291.55 Thin Section

Coarse grained sample with inclusions of finer grained sediment. Clasts are small to large in size and angular to sub-rounded in shape. Grain crushing is abundant in this sample, and lineations and minor grain stacks can also be seen.