scholarly journals VIRAC Maser Data Processing Suite

2021 ◽  
Author(s):  
Jānis Šteinbergs ◽  
Artis Aberfelds ◽  
Marcis Bleiders ◽  
Ivar Shmeld
Keyword(s):  
Data Processing ◽  
Radio Telescope ◽  
Software Defined Radio ◽  
Observation Data ◽  
Digital Form ◽  
Software Suite ◽  
Step Process ◽  
Switching Algorithm ◽  
Single Radio ◽  
Observation Results

Modern scientific research particularly radio astronomi- cal spectroscopic observations cannot be imagined without appropriate software suite. That is necessary because of two reasons 1) data are in digital form and 2) data processing is a complex multi-step process. In this paper created in VIRAC data processing suite for a single radio telescope, space maser observations are presented. Software Defined Radio (SDR) backend data processing is described. Implementation of the frequency switching algorithm, acquisition of observation data and their format for storing are discussed. Multiple ways to display the observation results are highlighted.

scholarly journals Analisis Perbandingan Website Digilib dengan Metode Penghitungan Usability Menggunakan Kuesioner SUS

2020 ◽  
Vol 11 (1) ◽  
pp. 63
Author(s):  
Hafidz Pudyastawa Aji ◽  
Nur Rochmah DPA, , S.T, M.Kom
Keyword(s):  
Data Processing ◽  
Digital Library ◽  
Quality Evaluation ◽  
Digital Form ◽  
Score Analysis ◽  
Assessment Standards ◽  
Book Collections ◽  
Observation Results

Abstract: This study aims to analyze the comparison of Digilib websites at 3 universities. Digital Library is a media for storing book collections in digital form, as a means to facilitate visitors in accessing book collections. In improving services, universities X, Y, and Z have provided Digilib. Observation results indicate the number of Digilib visitors is still relatively small. Therefore quality evaluation on the Digilib website needs to be done. Quality evaluation on the Usability aspect is carried out using the existing assessment standards on the SUS questionnaire. Analysis and data processing of questionnaire results using SUS calculation. The results of the calculation of the average SUS score of 51 respondents from each university X, Y, and Z showed that, Digilib X had the highest SUS score of 58.2. The results of the score analysis indicate that the three websites have not met the usability aspect in terms of learnability. The SUS aspect analysis is used as a development reference to maximize the quality of Digilib services.Keywords: Quality Evaluation, Digital Library, Usability. Abstrak: Penelitian ini bertujuan menganalisis perbandingan website Digilib pada 3 universitas. Digital Library merupakan suatu media penyimpanan koleksi buku dalam bentuk digital, sebagai sarana untuk memudahkan pengunjung dalam mengakses koleksi buku. Dalam meningkatkan pelayanan, universitas X, Y, dan Z telah menyediakan Digilib. Hasil observasi menunjukkan jumlah pengunjung Digilib masih tergolong kecil. Oleh sebab itu evaluasi kualitas pada website Digilib perlu dilakukan. Evaluasi kualitas pada aspek Usability dilakukan menggunakan standar penilaian yang ada pada kuesioner SUS. Analisis dan pengolahan data hasil kuesioner menggunakan penghitungan SUS. Hasil perhitungan rata-rata skor SUS dari 51 responden masing-masing universitas X, Y, dan Z menunjukan bahwa, Digilib X memiliki skor SUS tertinggi yaitu 58,2. Hasil analisis skor menunjukkan bahwa ketiga website belum memenuhi aspek usability dari segi learnability. Analisis aspek SUS digunakan sebagai acuan pengembangan untuk memkasimalkan kualitas pelayanan Digilib.Kata Kunci: Evaluasi Kualitas, Digital Library, Usability.

scholarly journals A Modified Azimuth Weighting Method in a Two-Step Process Approach for Sliding Spotlight Data Processing

Sensors ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 220
Author(s):  
Feng Xiao ◽  
Ze-gang Ding ◽  
Bin Xiong ◽  
Teng Long
Keyword(s):  
Data Processing ◽  
Process Approach ◽  
Weighting Method ◽  
Step Process

Advanced Feature Extraction for Earth Observation Data Processing

2018 ◽  
pp. 108-133
Author(s):  
E. Izquierdo-Verdiguier ◽  
V. Laparra ◽  
J Muñoz-Marí ◽  
L. Gómez-Chova ◽  
G. Camps-Valls
Keyword(s):  
Feature Extraction ◽  
Data Processing ◽  
Earth Observation ◽  
Observation Data ◽  
Earth Observation Data

scholarly journals Improvement of Persistent Scatterer Interferometry to Detect Large Non-Linear Displacements with the 2π Ambiguity by a Non-Parametric Approach

2019 ◽  
Vol 11 (21) ◽  
pp. 2467
Author(s):  
Ogushi ◽  
Matsuoka ◽  
Defilippi ◽  
Pasquali
Keyword(s):  
Data Processing ◽  
Observation Data ◽  
Maximum Magnitude ◽  
Parametric Approach ◽  
Persistent Scatterer Interferometry ◽  
Surface Displacements ◽  
Persistent Scatterer ◽  
Non Linear ◽  
Simulation Results ◽  
Non Parametric

Persistent scatterer interferometry (PSI) is commonly applied to monitor surface displacements with millimetric precision. However, this technique still has trouble estimating non-linear displacements because the algorithm is designed for the slow and linear displacements. Additionally, there is a variety of non-linear displacement types, and finding an appropriate displacement model for PSI is still assumed to be a fairly large task. In this paper, the conventional PSI technique is extended using a non-parametric non-linear approach (NN-PSI), and the performance of the extended method is investigated by simulations and actual observation data processing with TerraSAR-X. In the simulation, non-linear displacements are modeled by the magnitudes and periods of the displacement, and the evaluation of NN-PSI is conducted. According to the simulation results, the maximum magnitude of the displacement that can be estimated by NN-PSI is two and a half times the magnitude of the SAR sensor’s wavelength (2.5λ that is roughly equivalent to 8 cm for X-band, 14 cm for C-band, and 60 cm for L-band), and the period of the displacement is about three months. However, this displacement cannot be reconstructed by the conventional PSI due to the limitation, known as the 2π displacement ambiguity. The result of the observation data processing shows that a large displacement with the 2π ambiguity can be estimated by NN-PSI as the simulation results show, but the conventional PSI cannot reconstruct it. In addition, a different approach, Small BAseline Subset (SBAS), is applied to the same data to ensure the accuracy of results, and the correlation between NN-PSI and SBAS is 0.95, while that between the conventional PSI and SBAS is –0.66. It is concluded that NN-PSI enables the reconstruction of non-linear displacements by the non-parametric approach and the expansion of applications to measure surface displacements that could not be measured due to the limitations of the traditional PSI methods.

scholarly journals JupyTEP IDE as an Online Tool for Earth Observation Data Processing

2019 ◽  
Vol 11 (17) ◽  
pp. 1973 ◽  
Author(s):  
Rapiński ◽  
Bednarczyk ◽  
Zinkiewicz
Keyword(s):  
User Interface ◽  
Data Processing ◽  
European Space Agency ◽  
Earth Observation ◽  
Observation Data ◽  
Cloud Infrastructure ◽  
Integrated Development Environment ◽  
Development Environment ◽  
Integrated Development ◽  
Earth Observation Data

The paper describes a new tool called JupyTEP integrated development environment (IDE), which is an online integrated development environment for earth observation data processing available in the cloud. This work is a result of the project entitled “JupyTEP IDE—Jupyter-based IDE as an interactive and collaborative environment for the development of notebook style EO algorithms on network of exploitation platforms infrastructure” carried out in cooperation with European Space Agency. The main goal of this project was to provide a universal earth observation data processing tool to the community. JupyTEP IDE is an extension of Jupyter software ecosystem with customization of existing components for the needs of earth observation scientists and other professional and non-professional users. The approach is based on configuration, customization, adaptation, and extension of Jupyter, Jupyter Hub, and Docker components on earth observation data cloud infrastructure in the most flexible way; integration with accessible libraries and earth observation data tools (sentinel application platform (SNAP), geospatial data abstraction library (GDAL), etc.); adaptation of existing web processing service (WPS)-oriented earth observation services. The user-oriented product is based on a web-related user interface in the form of extended and modified Jupyter user interface (frontend) with customized layout, earth observation data processing extension, and a set of predefined notebooks, widgets, and tools. The final IDE is addressed to the remote sensing experts and other users who intend to develop Jupyter notebooks with the reuse of embedded tools, common WPS interfaces, and existing notebooks. The paper describes the background of the system, its architecture, and possible use cases.

scholarly journals Search for FRB and FRB-like single pulses in Parkes magnetar data

2017 ◽  
Vol 13 (S337) ◽  
pp. 319-321 ◽  
Author(s):  
M. Burgay ◽  
P. Esposito ◽  
G.L. Israel ◽  
N. Rea ◽  
A. Possenti ◽  
...  
Keyword(s):  
Radio Telescope ◽  
X Ray ◽  
Single Radio

AbstractWe present the results of a search for strong single radio pulses emitted by magnetars and for FRB signals in the fields of magnetars observed at the Parkes radio telescope within the NAPA project P626. Unsurprisingly, given the short total observing time, no extragalacic FRB signal was found up to a DM of 3000 pc/cm3. Two strong pulses dispersed at the DM of the known radio magnetar J1550–5418 where found, one occurring at the same time of an X-ray burst. This result is potentially interesting in the framework of magnetar models for FRBs.

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