scholarly journals Build Guide for the Geophysical Monitoring System (GMS) Common Source Code 2019 Release

2019 ◽  
Author(s):  
James M. Harris ◽  
Justin L. DuBois ◽  
Katherine Z. Rivera ◽  
David A. Manzanares
Keyword(s):  
Monitoring System ◽  
Source Code ◽  
Common Source ◽  
Geophysical Monitoring

scholarly journals Build Guide for the Geophysical Monitoring Systems Common Source Code.

2019 ◽  
Author(s):  
James Harris ◽  
James Harris ◽  
James Harris ◽  
James Harris ◽  
James Harris ◽  
...  
Keyword(s):  
Source Code ◽  
Monitoring Systems ◽  
Common Source ◽  
Geophysical Monitoring

METROLOGICAL SUPPORT FOR THE ROSHYDROMET IONOSPHERIC AND MAGNETIC OBSERVATION NETWORK

2021 ◽  
pp. 43-52
Author(s):  
V. T. Minligareev ◽  
◽  
Yu. M. Kachanovskii ◽  
V. L. Kravchenok ◽  
E. A. Pan’shin ◽  
...  
Keyword(s):  
Monitoring System ◽  
Metrological Support ◽  
The State ◽  
Geophysical Monitoring ◽  
Measurement Quality ◽  
State Observation ◽  
Stage Of Development ◽  
Observation Network ◽  
Current Stage

The paper deals with the methods for metrological support of ionospheric, magnetic, and heliogeophysical observations of the state observation network, including ground-based and space segments, and with the directions for improving the accuracy and reliability of measurements. The solutions to the previously identified problems and the implementation of proposals on improving the measurement quality for operational response to heliogeophysical hazards at the current stage of development of the geophysical monitoring system are demonstrated.

Specialized seismic noise registration station “Nachiki” in the geophysical monitoring system of Kamchatka

2010 ◽  
Vol 46 (1) ◽  
pp. 62-74
Author(s):  
V. A. Saltykov ◽  
V. I. Sinitsyn ◽  
V. N. Chebrov ◽  
Yu. A. Kugaenko
Keyword(s):  
Monitoring System ◽  
Seismic Noise ◽  
Geophysical Monitoring

Analysis of electromagnetic earthquake predictors based on data of magnetotelluric monitoring data (coseismic effect)

2020 ◽  
Author(s):  
Elena A. Bataleva ◽  
Keyword(s):  
Monitoring System ◽  
Test Area ◽  
Tien Shan ◽  
Monitoring Data ◽  
Electrical Anisotropy ◽  
Monitoring Systems ◽  
Geophysical Monitoring ◽  
Software Products ◽  
The North ◽  
Coseismic Effect

The article presents the results of the analysis of magnetotelluric monitoring data of the North Tien Shan using a set of methods of geophysical monitoring systems of the Bishkek geodynamic test area. The goals, objectives and structure of the magnetotelluric monitoring system are outlined. The obtained results of the study of electrical anisotropy for stationary and operational monitoring points are shown. Particular attention is paid to improving the methodology and software products.

scholarly journals Flowchart-Based Cross-Language Source Code Similarity Detection

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Feng Zhang ◽  
Guofan Li ◽  
Cong Liu ◽  
Qian Song
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Computer Programming ◽  
Source Code ◽  
Common Source ◽  
Intermediate Structure ◽  
Plagiarism Detection ◽  
Code Obfuscation ◽  
Similarity Detection ◽  
Cross Language

Source code similarity detection has various applications in code plagiarism detection and software intellectual property protection. In computer programming teaching, students may convert the source code written in one programming language into another language for their code assignment submission. Existing similarity measures of source code written in the same language are not applicable for the cross-language code similarity detection because of syntactic differences among different programming languages. Meanwhile, existing cross-language source similarity detection approaches are susceptible to complex code obfuscation techniques, such as replacing equivalent control structure and adding redundant statements. To solve this problem, we propose a cross-language code similarity detection (CLCSD) approach based on code flowcharts. In general, two source code fragments written in different programming languages are transformed into standardized code flowcharts (SCFC), and their similarity is obtained by measuring their corresponding SCFC. More specifically, we first introduce the standardized code flowchart (SCFC) model to be the uniform flowcharts representation of source code written in different languages. SCFC is language-independent, and therefore, it can be used as the intermediate structure for source code similarity detection. Meanwhile, transformation techniques are given to transform source code written in a specific programming language into an SCFC. Second, we propose the SCFC-SPGK algorithm based on the shortest path graph kernel to measure the similarity between two SCFCs. Thus, the similarity between two pieces of source code in different programming languages is given by the similarity between SCFCs. Experimental results show that compared with existing approaches, CLCSD has higher accuracy in cross-language source code similarity detection. Furthermore, CLCSD cannot only handle common source code obfuscation techniques used by students in computer programming teaching but also obtain nearly 90% accuracy in dealing with some complex obfuscation techniques.

Development of the space observation system and geophysical monitoring system in Roshydromet

2017 ◽  
Vol 42 (7) ◽  
pp. 442-451 ◽  
Author(s):  
V. V. Asmus ◽  
A. I. Bedritskii ◽  
V. N. Stasenko ◽  
S. V. Tasenko ◽  
A. B. Uspenskii
Keyword(s):  
Monitoring System ◽  
Observation System ◽  
Geophysical Monitoring
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