Publication

Dataset of the paper: "Experimental investigations on the load-carrying capacity of digitally produced wood-wood connections"

Yves Weinand, Julien Gamerro, Jean-François Bocquet
2020
Datasets

Abstract

Experimental data related to the paper: "Experimental investigations on the load-carrying capacity of digitally produced wood-wood connections". It presents shear and compression test results for the load-carrying capacity of digitally produced traditional wood-wood assembly named through tenon.

Official source

https://infoscience.epfl.ch/entities/publication/551ec476-c5a7-4e3e-bd14-87c237078d00

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Yves Weinand, Julien Gamerro, Jean-François Bocquet
2020
Datasets

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/551ec476-c5a7-4e3e-bd14-87c237078d00

About this result

Related concepts (6)

Lossless compression

Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. By contrast, lossy compression permits reconstruction only of an approximation of the original data, though usually with greatly improved compression rates (and therefore reduced media sizes).

Lossy compression

In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content. The different versions of the photo of the cat on this page show how higher degrees of approximation create coarser images as more details are removed. This is opposed to lossless data compression (reversible data compression) which does not degrade the data.

Transparency (data compression)

In data compression and psychoacoustics, transparency is the result of lossy data compression accurate enough that the compressed result is perceptually indistinguishable from the uncompressed input, i.e. perceptually lossless. A transparency threshold is a given value at which transparency is reached. It is commonly used to describe compressed data bitrates. For example, the transparency threshold for MP3 to linear PCM audio is said to be between 175 and 245 kbit/s, at 44.

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