English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

HUNKOVA, V., JANAK, K.: Methods of data fi ltration and their eff ects on the resulting image of a log at the electronic sensing its dimentisons. Acta univ. agric. et silvic. Mendel. Brun., 2010, LVIII, No. 1, pp. 77–86 The data taken at the electronic reception of logs are tasked with mistaken values and do not correspond to the real shape of a stem. The aim of the data fi ltration is to remove the incorrect data and replace them by the ones, closer to the real values. The goal of presented work was to analyse the eff ect of diff erent fi ltration methods on original data and to recommend the methods, which results correspond to the real shape of the logs with their defects on a surface as close as possible. Methods of fi ltration are based on simple mathematical and statistical procedures, which are subsequently variously combined, because the simplest comparative methods did not fulfi l the expectations. More than 50 methods were combined and analyzed. Approximately 15 of them were selected and tested. The methods were applied to data scanned on ca 150 logs randomly selected from thousands of fi les in the sawmill log yard. The fi ltration eff ects of diff erent methods were visually assessed. The most applicable three methods were selected and they will be tested practically at sawmill in the next step of research. These three methods are described in following paper. Results refer, that all proposed methods correspond to necessities for log dimensions determination. It is not possible to defi ne the best method generally. Diff erent properties of these methods make them suitable for calculation of log dimensions if diff erent type of use is requested. It means for mid diameter determination necessary for volume calculation by using Huber method; for section diame ter determination for volume calculation by using section method; for top diameter determination necessary for sorting; for fi ltration of drive dogs of the conveyor passing through the measuring equipment. data fi ltration, electronic measurement, log dimensions, running average, median, log diameter

Methods of data filtration and their effects on the resulting image of a log at the electronic sensing its dimensions