A reappraisal of the Carboniferous macrofloras of the Zonguldak - Amasra Coal Basin, north-western Turkey
The Zonguldak – Amasra Coal Basin in north-western Turkey has Carboniferous terrestrial deposits ranging in age from Arnsbergian to late Asturian or possibly early Cantabrian. They yield macrofloras that allow detailed biostratigraphical correlations with sequences in Europe. These correlations suggest there are substantial gaps in the Zonguldak – Amasra succession, with middle to upper Namurian, upper Langsettian, Duckmantian and lower Asturian strata apparently being missing. This in turn suggests the area was subjected to significant tectonic instability during Pennsylvanian (late Carboniferous) times and that this might have been instrumental in initiating the progressive change in composition and eventual collapse of the coal swamp biome across Variscan Euramerica during Westphalian times.
A revision of the Pennsylvanian marattialean fern Lobatopteris vestita auct. and related species
Amongst the species referred to the genus Lobatopteris Wagner, 1959, three are especially abundant: Lobatopteris micromiltonii (Bertrand ex Corsin) Wagner, Lobatopteris vestita sensu Wagner (1959) and Lobatopteris lamuriana (Heer) Wagner. However, despite their biostratigraphical significance the taxonomy of these three species has remained poorly resolved and their nomenclature, typification and generic position problematical. This paper attempts to correct these deficiencies and, based upon new characters, transfers these taxa to the new genus Crenulopteris Wittry et al. gen. nov. Biostratigraphically, reassignment of these taxa does not impact the validity of the scheme introduced by Wagner (1984) and modified by Cleal (1991), but does necessitate the re-naming of some biozones.
The Analysis on Fire Smoke Exhausting Robot Vibration Based on Wavelet Transform
Belt relaxation, which affects a lot on operation reliability of the fire smoke exhausting robot, is hard to detect. In this paper, a new method for belt relaxation feature recognition based on continuous wavelet transform (CWT) is proposed, and a vibration model which simplified the robot as a 2-dof forced vibration system under harmonic excitation is established. The vibration acceleration signal has been collected using the IEPE sensor and data acquisition card, experimental results verified the accuracy of the vibration model, and weak impact signal caused by the belt relaxation was distinguished, that testify the practicability of the CWT method in belt relaxation feature recognition.