scholarly journals Interpretation of vadose zone monitoring system data near Engineered Trench 1

2016 ◽  
Author(s):  
G. P. Flach ◽  
T. S. Whiteside
Keyword(s):  
Monitoring System ◽  
Vadose Zone ◽  
System Data

scholarly journals Data Science Tools for Monitoring the Global Repository Eco-System and its Lines of Evolution

Publications ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 35
Author(s):  
Friedrich Summann ◽  
Andreas Czerniak ◽  
Jochen Schirrwagen ◽  
Dirk Pieper
Keyword(s):  
Monitoring System ◽  
Data Science ◽  
Systems Approach ◽  
Global Network ◽  
Scientific Publications ◽  
Depth Analysis ◽  
First Results ◽  
History Of ◽  
System Data ◽  
Open Archives

The global network of scholarly repositories for the publication and dissemination of scientific publications and related materials can already look back on a history of more than twenty years. During this period, there have been many developments in terms of technical optimization and the increase of content. It is crucial to observe and analyze this evolution in order to draw conclusions for the further development of repositories. The basis for such an analysis is data. The Open Archives Initiative (OAI) service provider Bielefeld Academic Search Engine (BASE) started indexing repositories in 2004 and has collected metadata also on repositories. This paper presents the main features of a planned repository monitoring system. Data have been collected since 2004 and includes basic repository metadata as well as publication metadata of a repository. This information allows an in-depth analysis of many indicators in different logical combinations. This paper outlines the systems approach and the integration of data science techniques. It describes the intended monitoring system and shows the first results.

Discussion on Power Grid Magnetic Storm Disaster Monitoring System Based on Cloud Computing

2011 ◽  
Vol 341-342 ◽  
pp. 641-645
Author(s):  
Di Liu ◽  
Ying Wang ◽  
Lian Guang Liu
Keyword(s):  
Cloud Computing ◽  
Monitoring System ◽  
Data Storage ◽  
Power Grid ◽  
Observation Data ◽  
Security Problem ◽  
Disaster Monitoring ◽  
System Data ◽  
Current Monitoring ◽  
Communication Methods

The power grid storm disaster monitoring system involves power system data，geomagnetic data, satellite data and other earth space observation data. To solve such problems as the system's large quantity of data, storage and processing difficulties, using cloud computing in the system is putting forward. The basic concepts and the services of cloud computing are introduced first. From the aspects of the front-end data collection and communication methods to the background software data processing, the GIC (geomagnetically-induced current) monitoring system is showed. Then the issues of the continuous expansion of the system are analyzed in detail. The architecture of the power grid storm disaster monitoring system based on cloud computing is given. Security problem of implementation of the system using cloud computing technology are finally discussed.

A study of a real-time online monitoring system for the durability of concrete structures

2016 ◽  
Vol 63 (3) ◽  
pp. 184-189
Author(s):  
Mingming Xiao ◽  
Shilong Zhang ◽  
Yanbing Tang ◽  
Zhongmao Lin ◽  
Jiahong Chen
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Concrete Structures ◽  
Chloride Ion ◽  
Corrosion Current ◽  
Ion Concentration ◽  
Corrosion Monitoring ◽  
Content Type ◽  
System Data ◽  
Durability Of Concrete

Purpose This study aims to explore the effect of corrosion monitoring technology for ensuring concrete structure safety. Design/methodology/approach A new monitoring system scheme with unattended operation to evaluate the durability of concrete structures is presented, which includes four components, namely, a multi-function embedded sensor, a microprocessor data collecting module, a system data analysis and storage module, and a remote server module. Findings The system carries out monitoring of chloride ion concentration and pH in concrete, corrosion current density and of the self-corrosion potential of the reinforcing steel bar. Originality/value This system provides real-time, online, lossless monitoring for concrete structures.

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