Assessing the archaeological sites’ cultural layer preservation by the methods of multi-zone aerial photography, ground-based sounding and cartography

2020 ◽  
Vol 960 (6) ◽  
pp. 45-55
Author(s):  
I.V. Zhurbin ◽  
A.I. Bazhenova ◽  
V.N. Milich ◽  
A.G. Zlobina
Keyword(s):  
Aerial Photography ◽  
Wavelet Function ◽  
Processing Method ◽  
Archaeological Sites ◽  
Discrete Wavelet ◽  
Cultural Layer ◽  
Multispectral Data ◽  
Cultural Heritage Objects ◽  
Short Time ◽  
Successive Method

Arranging effective state protection of historical and cultural heritage objects requires developing modern methods of identifying archaeological sites and determining their boundaries. To solve this task, an algorithm of interdisciplinary research based on the analysis of multispectral data obtained with unmanned aerial vehicles is proposed. To search for areas of the surface-transformed and substituted cultural layer, it is proposed to use a processing method based on the two-dimensional discrete wavelet transform. Using the Shannon–Kotelnikov wavelet function to study the medieval Kushman settlement of Uchkakar enabled assessing the preservation of the cultural layer in various parts of the settlement. The correctness of the proposed interpretation is confirmed by the data of geophysical studies, soil drilling and materials of archaeological excavations. Complex application of multispectral aerial photography, geophysics and soil investigation made it possible to obtain reliable cartographic information on the boundaries of the archaeological sites and the preservation of their cultural layer in a short time. The effectiveness of the algorithm is that each successive method verifies the previously obtained data and at the same time supplements the information on the archaeological sites.

Research on Ring Fire Diagnosis of DC Motor Based on Discrete Wavelet Lipschitz Index

2015 ◽  
Vol 9 (1) ◽  
pp. 33-37 ◽  
Author(s):  
Tang Zhao-ping ◽  
Yang Qing-ping ◽  
Tang Shuai ◽  
Zhang Wen-sheng ◽  
Sun Jian-ping
Keyword(s):  
Dc Motor ◽  
Wavelet Function ◽  
New Method ◽  
Discrete Wavelet ◽  
Modulus Maxima ◽  
The Way

The favorable localization features of discrete wavelet provide a new method for detecting the mutational points of electric spark signal. In this paper, by means of discrete wavelet function called db5, using the way of 6 scales wavelet, analyzing the gathered electric spark signal and by extracting the modulus maxima of the 6 layers detailed signal coefficient, the signal’s mutational points were located exactly and successfully. In addition, via the modulus maxima to calculate Lipschitz index, measuring signal’s singularity, the signal’s mutational time was confirmed. The result of the simulation shows that this method can detect not only the time and size effectively if the ring fire happens but also the failure of the locomotive traction dc motor, timely and precisely. In this way, the operation safety of the train is ensured.

scholarly journals Transient vibration and acoustic radiation of steering engines

2018 ◽  
Vol 37 (2) ◽  
pp. 341-354 ◽  
Author(s):  
Changgang Lin ◽  
Mingsong Zou ◽  
Huifeng Jiao ◽  
Peng Liu
Keyword(s):  
Cylindrical Shell ◽  
Fourier Transform ◽  
Acoustic Radiation ◽  
Underwater Vehicle ◽  
Processing Method ◽  
Short Time Fourier Transform ◽  
Transient Vibration ◽  
Engine Room ◽  
Signal Processing Method ◽  
Short Time

This paper mainly focuses on the remarkable transient vibration and underwater acoustic radiation when the underwater vehicle changes direction or depth, and a short time Fourier transform signal processing method to evaluate transient vibration and acoustic radiation of steering engine is provided in this paper. Based on the vibration test of the 1:1 experimental scaffold of the steering engine for an underwater vehicle, the transient maximum excitation forces acting at the contact points between steering engine and experimental scaffold are calculated indirectly by the least square method of load identification in frequency domain and the short time Fourier transform signal processing method. The accuracy and feasibility of results are verified. In addition, taking excitation forces as an approximate input, the numerical solution of transient acoustic radiation for a cylindrical shell with ribs of the steering engine room, based on elastic shell theory and fluid–structure interaction theory, is presented. In the simulation, the steering engine room of the underwater vehicle is simplified into a cylindrical shell with two simply supported tips, because a cylindrical shell with ribs is the basic structure-borne used in underwater vehicles. The results show that transient acoustic radiation of the tested steering engine is higher than allowable value, while the evaluation results of another electric steering engine without retarder are suitable.

Wavelet transform on regression trend curve and its application in financial data

2020 ◽  
Vol 18 (05) ◽  
pp. 2050040 ◽  
Author(s):  
Xiaohui Zhou
Keyword(s):  
Wavelet Transform ◽  
Reconstruction Algorithm ◽  
Wavelet Function ◽  
Financial Data ◽  
Discrete Wavelet ◽  
Reconstruction Algorithms ◽  
Regression Curve ◽  
Growth Trend ◽  
Wavelet Filters ◽  
New Research

In this paper, wavelet transform on a regression curve is investigated by using length-preserving projection and its application in financial data is also discussed. First, properties of wavelet filters on the regression trend curves are studied and two-scale equation of wavelet function is deduced on the regression trend curves. Second, the decomposition and reconstruction algorithm of discrete wavelet transform on regression trend curves is derived. Finally, two examples in financial data are given for discussion, based on decomposition and reconstruction algorithms on regression trend curves. Some new research interpretations are presented in dealing with financial data such as “volatility on regression growth trend”, “error on regression growth trend”, and so on.

Aborigine and settler: archaeological air photography

Antiquity ◽  
1978 ◽  
Vol 52 (205) ◽  
pp. 95-99 ◽  
Author(s):  
Graham Connah
Keyword(s):  
New England ◽  
Aerial Photography ◽  
New South ◽  
Aerial Photographs ◽  
Archaeological Sites ◽  
Low Level ◽  
South Wales ◽  
National University ◽  
Great Tradition ◽  
The University

Australian students of archaeology could be excused for thinking that aerial photography is a technique with little archaeological application in their own country. Archaeological text books usually draw their examples of the uses of aerial photography from Europe or the Americas; even the pages of Antiquity, graced for many years by the work of J. K. St Joseph and others, suggest a similar geographic limitation. It is also a fact that there are not many published aerial photographs of Australian archaeological sites. In particular, the great tradition of low-level oblique photography with hand-held camera seems to have had comparatively little impact on Australian archaeology. There have been notable exceptions: for instance Bill Webster, of the University of New England, has taken low-level oblique infra red photographs of the Moore Creek Axe Quarry near Tamworth, New South Wales (Binns and Mc- Bryde, 1972; McBryde, 1974); Jim Bowler of the Australian National University provided photography of Lake Mungo (Mulvaney, 1975, P1.47), and Judy Birmingham of Sydney University has published an aerial photograph of the Irrawang Pottery (Birmingham, 1976)

Discrete Wavelet Transform on Near-Infrared Spectra Analysis for Moisture Determination in Lignitic Coal Samples

2014 ◽  
Vol 513-517 ◽  
pp. 319-322
Author(s):  
Xiao Li Yang ◽  
Neng Bang Hou ◽  
Jun You Shi ◽  
Yan Fang Li
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Near Infrared ◽  
Processing Method ◽  
Discrete Wavelet ◽  
Moisture Determination ◽  
Least Squares Regression ◽  
Spectra Analysis ◽  
Near Infrared Spectra ◽  
Compressed Data

We studied moisture determination in lignitic coal samples through near-infrared (NIR) technique. This research was developed by applying partical least squares regression (PLS) and discrete wavelet transform (DWT). Firstly, the NIR spectra were pre-processed by DWT for fitting and compression. Then, the compressed data were used to build regression model with PLS for moisture determination in coal samples. Three type DWTs were investigated.Determination performance at different resolution scales was studied. The results show that DWT is a very efficient pre-processing method for NIR spectra analysis.

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