scholarly journals ImpDAR: an open-source impulse radar processor

2020 ◽  
Vol 61 (81) ◽  
pp. 114-123 ◽  
Author(s):  
David A. Lilien ◽  
Benjamin H. Hills ◽  
Joshua Driscol ◽  
Robert Jacobel ◽  
Knut Christianson
Keyword(s):  
Open Source ◽  
Data Archives ◽  
Radio Echo Sounding ◽  
Cross Platform ◽  
Time Correction ◽  
And Migration ◽  
Ground Penetrating ◽  
Full Utilization ◽  
Processing Steps ◽  
Standard Software

AbstractDespite widespread use of radio-echo sounding (RES) in glaciology and broad distribution of processed radar products, the glaciological community has no standard software for processing impulse RES data. Dependable, fast and collection-system/platform-independent processing flows could facilitate comparison between datasets and allow full utilization of large impulse RES data archives and new data. Here, we present ImpDAR, an open-source, cross-platform, impulse radar processor and interpreter, written primarily in Python. The utility of this software lies in its collection of established tools into a single, open-source framework. ImpDAR aims to provide a versatile standard that is accessible to radar-processing novices and useful to specialists. It can read data from common commercial ground-penetrating radars (GPRs) and some custom-built RES systems. It performs all the standard processing steps, including bandpass and horizontal filtering, time correction for antenna spacing, geolocation and migration. After processing data, ImpDAR's interpreter includes several plotting functions, digitization of reflecting horizons, calculation of reflector strength and export of interpreted layers. We demonstrate these capabilities on two datasets: deep (~3000 m depth) data collected with a custom (3 MHz) system in northeast Greenland and shallow (<100 m depth, 500 MHz) data collected with a commercial GPR on South Cascade Glacier in Washington.

scholarly journals Mapping subglacial surfaces of temperate valley glaciers by two-pass migration of a radio-echo sounding survey

1998 ◽  
Vol 44 (146) ◽  
pp. 164-170 ◽  
Author(s):  
B.C. Welch ◽  
W.T. Pfeffer ◽  
J.T. Harper ◽  
N.F. Humphrey
Keyword(s):  
Three Dimensional ◽  
Maximum Resolution ◽  
South Central ◽  
Half Wavelength ◽  
Valley Glacier ◽  
Radio Echo Sounding ◽  
And Migration ◽  
Processing Techniques ◽  
Processing Steps ◽  
Echo Sounding

AbstractHigh-resolution maps of the glacier bed are developed through a pseudo-three-dimensional migration of a dense array of radio-echo sounding profiles. Resolution of three-dimensional maps of subglacial surfaces is determined by the radio-echo sounding wavelength, data sparing in the field, and migration. Based on synthetic radio-echo sounding profile experiments, the maximum resolution of the final map cannot exceed one half-wavelength. A methodology of field and processing techniques is outlined to develop a maximum-resolution map of the glacier bed. The field and processing techniques are used to develop a map of the glacier bed below part of Worthington Glacier, a temperate valley glacier in south-central Alaska. The field techniques and the processing steps used on the glacier result in a map of 20 m x 20 m resolution.

scholarly journals Mapping subglacial surfaces of temperate valley glaciers by two-pass migration of a radio-echo sounding survey

1998 ◽  
Vol 44 (146) ◽  
pp. 164-170 ◽  
Author(s):  
B.C. Welch ◽  
W.T. Pfeffer ◽  
J.T. Harper ◽  
N.F. Humphrey
Keyword(s):  
Three Dimensional ◽  
Maximum Resolution ◽  
South Central ◽  
Half Wavelength ◽  
Valley Glacier ◽  
Radio Echo Sounding ◽  
And Migration ◽  
Processing Techniques ◽  
Processing Steps ◽  
Echo Sounding

AbstractHigh-resolution maps of the glacier bed are developed through a pseudo-three-dimensional migration of a dense array of radio-echo sounding profiles. Resolution of three-dimensional maps of subglacial surfaces is determined by the radio-echo sounding wavelength, data sparing in the field, and migration. Based on synthetic radio-echo sounding profile experiments, the maximum resolution of the final map cannot exceed one half-wavelength. A methodology of field and processing techniques is outlined to develop a maximum-resolution map of the glacier bed. The field and processing techniques are used to develop a map of the glacier bed below part of Worthington Glacier, a temperate valley glacier in south-central Alaska. The field techniques and the processing steps used on the glacier result in a map of 20 m x 20 m resolution.

scholarly journals Implementasi Compatibility Layer Pada Jaringan Server Diskless Berbasis Lubuntu 18.04 LTS

2020 ◽  
Vol 13 (2) ◽  
pp. 1-9
Author(s):  
Farid Jatri Abiyyu ◽  
Ibnu Ziad ◽  
Ade Silvia Handayani
Keyword(s):  
Open Source ◽  
Packet Loss ◽  
Computer Network ◽  
Source Code ◽  
Thin Client ◽  
Cross Platform ◽  
Good For ◽  
Secure Shell ◽  
Cluster Computer

Diskless server is a cluster computer network which uses SSH (Secure Shell) protocol to grant the client an access to the host's directory and modify it's content so that the client don't need a hardisk (Thin Client). One way to design a diskless server is by utilizing "Linux Terminal Server Project", an open source-based script for Linux. However, using Linux has it own drawback, such as it can't cross platform for running an aplication based on Windows system which are commonly used. This drawback can be overcomed by using a compatibility layer that converts a windows-based application's source code. The data which will be monitored is the compatibility layer implementation's result, and the throughput, packet loss, delay, and jitter. The result of measurement from those four parameters resulting in "Excellent" for throughput, "Perfect" for packet loss and delay, and "Good" for jitter.

Open source column: Deep learning in the browser

2019 ◽  
Vol 11 (1) ◽  
pp. 1-1
Author(s):  
Sabrina Kletz ◽  
Marco Bertini ◽  
Mathias Lux
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Mobile Phone ◽  
Open Source ◽  
Web Pages ◽  
Web Browsers ◽  
Open Source Framework ◽  
Interesting Approach ◽  
Cross Platform ◽  
Client Device

Having already discussed MatConvNet and Keras, let us continue with an open source framework for deep learning, which takes a new and interesting approach. TensorFlow.js is not only providing deep learning for JavaScript developers, but it's also making applications of deep learning available in the WebGL enabled web browsers, or more specifically, Chrome, Chromium-based browsers, Safari and Firefox. Recently node.js support has been added, so TensorFlow.js can be used to directly control TensorFlow without the browser. TensorFlow.js is easy to install. As soon as a browser is installed one is ready to go. Browser based, cross platform applications, e.g. running with Electron, can also make use of TensorFlow.js without an additional install. The performance, however, depends on the browser the client is running, and memory and GPU on the client device. More specifically, one cannot expect to analyze 4K videos on a mobile phone in real time. While it's easy to install, and it's easy to develop based on TensorFlow.js, there are drawbacks: (i) developers have less control over where the machine learning actually takes place (e.g. on CPU or GPU), that it is running in the same sandbox as all web pages in the browser do, and (ii) that in the current release it still has rough edges and is not considered stable enough to use in production.

The Usage of R Programming in Finance and Banking Research

2019 ◽  
pp. 34-47
Author(s):  
Ceyhun Ozgur ◽  
Sanjeev Jha ◽  
Bennie B. Myer-Tyson ◽  
David Booth
Keyword(s):  
Operating System ◽  
Comparative Analysis ◽  
Open Source ◽  
Comparative Evaluation ◽  
Statistical Analyses ◽  
User Input ◽  
R Programming ◽  
Business Structures ◽  
Standard Software ◽  
Input Code

R has grown tremendously over the years in terms of number of users and capability with the development of hundreds of packages. In this chapter, the authors investigate the usage of R in finance and banking areas. They begin with a comparative analysis of R with other computing software like SAS and Python. Then they discuss the reasons for the growth of R's usage in financial sector. They end with a comparative evaluation of Python and R's strengths and weaknesses in a classroom. R is software designed to run statistical analyses and output graphics by user-input code. It can run on virtually any operating system and is open source. This makes the software highly appealing, as it is able to keep up with the demands of a growing number of varied business structures. Standard software has been SAS and Python; however, a growing number of jobs are posted looking for experience using R in the data analytics field.

scholarly journals ssNake: A cross-platform open-source NMR data processing and fitting application

2019 ◽  
Vol 301 ◽  
pp. 56-66 ◽  
Author(s):  
S.G.J. van Meerten ◽  
W.M.J. Franssen ◽  
A.P.M. Kentgens
Keyword(s):  
Data Processing ◽  
Open Source ◽  
Nmr Data ◽  
Cross Platform

scholarly journals RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems

2020 ◽  
Vol 29 (6) ◽  
pp. 1287-1310
Author(s):  
Sebastian Kruse ◽  
Zoi Kaoudi ◽  
Bertty Contreras-Rojas ◽  
Sanjay Chawla ◽  
Felix Naumann ◽  
...  
Keyword(s):  
Open Source ◽  
Data Analytics ◽  
Enumeration Algorithm ◽  
Data Movement ◽  
Order Of Magnitude ◽  
Efficient Data ◽  
Cross Platform ◽  
Platform System ◽  
The Cost ◽  
Data Analytic

AbstractData analytics are moving beyond the limits of a single platform. In this paper, we present the cost-based optimizer of Rheem, an open-source cross-platform system that copes with these new requirements. The optimizer allocates the subtasks of data analytic tasks to the most suitable platforms. Our main contributions are: (i) a mechanism based on graph transformations to explore alternative execution strategies; (ii) a novel graph-based approach to determine efficient data movement plans among subtasks and platforms; and (iii) an efficient plan enumeration algorithm, based on a novel enumeration algebra. We extensively evaluate our optimizer under diverse real tasks. We show that our optimizer can perform tasks more than one order of magnitude faster when using multiple platforms than when using a single platform.

High resolution GPR investigations employing single and multichannel systems in the Necropolis of Monte Abatone, Cerveteri (Roma, Italy).

2020 ◽  
Author(s):  
Salvatore Piro ◽  
Bruna Malandruccolo
Keyword(s):  
Ground Penetrating Radar ◽  
Landscape Archaeology ◽  
Dual Frequency ◽  
Near Surface ◽  
Complete Mapping ◽  
Geophysical Surveys ◽  
Near Surface Geophysics ◽  
Anomalous Bodies ◽  
And Migration ◽  
Ground Penetrating

&lt;p&gt;The Monte Abatone Necorpolis is one of the main important necropolis of Cerveteri, located 60 km north of Rome (Latium, Italy). In this area, several tombs have been discovered and excavated from the 1800, though still many remain hidden underneath the subsurface.&lt;/p&gt;&lt;p&gt;In the last two years, geophysical surveys have been carried out to investigate the unexplored portions of the ancient Etruscan Necropolis, to provide a complete mapping of the position of the tombs. Ground Penetrating Radar and the Magnetometric methods have been used during 2018 to investigate few parts of the Necropolis. During 2019 (July and September) GPR system SIR 3000 (GSSI), equipped with a 400 MHz antenna with constant offset, SIR4000 (GSSI) equipped with a dual frequency antenna with 300/800 MHz and the 3D Radar Geoscope multichannel stepped frequency system were employed to survey 5 hectares where the presence of tombs was hypothesized from previous archaeological studies.&lt;/p&gt;&lt;p&gt;All the GPR profiles were processed with GPR-SLICE v7.0 Ground Penetrating Radar Imaging Software (Goodman 2017). The basic radargram signal processing steps included: post processing pulse regaining; DC drift removal; data resampling; band pass filtering; background filter and migration. With the aim of obtaining a planimetric vision of all possible anomalous bodies, the time-slice representation technique was applied using all processed profiles showing anomalous sources up to a depth of about 2.5 m.&lt;/p&gt;&lt;p&gt;The preliminary obtained results clearly show the presence of a network of strong circular features, linked with the buried structural elements of the searched tombs.&lt;/p&gt;&lt;p&gt;Together with archaeologists, these anomalies, have been interpreted to have a better understanding of the archaeological definition of these features and to enhance the knowledge of the necropolis layout and mapping; after the geophysical surveys, excavations have been conducted, which brought to light few of the investigated structures.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;References&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Campana S., Piro S., 2009. Seeing the Unseen. Geophysics and Landscape Archaeology. Campana &amp; Piro Editors. CRC Press, Taylor &amp; Francis Group. Oxon UK, ISBN 978-0-415-44721-8.&lt;/p&gt;&lt;p&gt;Goodman, D., Piro, S., 2013. GPR Remote sensing in Archaeology, Springer: Berlin.&lt;/p&gt;&lt;p&gt;Piro S., Papale E., Zamuner D., Kuculdemirci M., 2018. Multimethodological approach to investigate urban and suburban archaeological sites. In &amp;#8220;Innovation in Near Surface Geophysics. Instrumentation, application and data processing methods.&amp;#8221;, Persico R., Piro S., Linford N., Ed.s. pp. 461 &amp;#8211; 504, ISBN: 978-0-12-812429-1, pp.1-505, Elsevier.&lt;/p&gt;

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