scholarly journals Operational monitoring and forecasting of mesoscale weather phenomena in ocean regions surrounding Norway

2007 ◽  
Vol 1 (3) ◽  
pp. 237-245 ◽  
Author(s):  
J. Sunde ◽  
B. Rønting ◽  
L. A. Breivik ◽  
K. H. Midtbø ◽  
C. Ulstad
Keyword(s):  
Operational Monitoring ◽  
Monitoring And Forecasting

Operational monitoring and forecasting of wave run-up on seawalls

2020 ◽  
Vol 161 ◽  
pp. 103750
Author(s):  
Ching-Jer Huang ◽  
Yu-Cheng Chang ◽  
Shih-Chieh Tai ◽  
Chun-Yuan Lin ◽  
Yen-Pin Lin ◽  
...  
Keyword(s):  
Operational Monitoring ◽  
Monitoring And Forecasting ◽  
Run Up

Operational Monitoring and Forecasting in the Aegean Sea: System Limitations and Forecasting Skill Evaluation

2001 ◽  
Vol 43 (7-12) ◽  
pp. 154-163 ◽  
Author(s):  
K Nittis ◽  
V Zervakis ◽  
L Perivoliotis ◽  
A Papadopoulos ◽  
G Chronis
Keyword(s):  
Aegean Sea ◽  
Operational Monitoring ◽  
Monitoring And Forecasting ◽  
Skill Evaluation

scholarly journals Federated data bases for the development of an operational monitoring and forecasting system of the ocean: the THREDDS Dataset Merger

2006 ◽  
Vol 8 ◽  
pp. 39-47
Author(s):  
S. Nativi ◽  
G. M. R. Manzella ◽  
F. Paolucci ◽  
P. Mazzetti ◽  
L. Pecci ◽  
...  
Keyword(s):  
Real Time ◽  
Operational Monitoring ◽  
Security Issues ◽  
Wide Range ◽  
Database Federation ◽  
Operational Systems ◽  
Monitoring And Forecasting ◽  
High Quality Information ◽  
Forecasting System

Abstract. During the last decade, operational monitoring and forecasting systems have been developed in all the European seas. The exchange of data and products and the development of services for a wide community of users pose some fundamental issues, whose solution has become a priority in integrated and GMES referring projects, such as the MERSEA European project. These projects aim to develop a European system for operational monitoring and forecasting on global and regional scales of ocean physics, bio-chemistry and ecosystems. GMES system and its operational projects need to federate resources and expertise coming from diverse organizations working on different Earth Sciences fields (e.g. satellite data processing, in situ observing systems, data management, ocean and ecosystem modeling, etc.). Therefore, it is required a Marine Information Management (MIM) system capable of facilitating the regular real-time exchange of high quality information, data and products. Moreover, MIM system must provide appropriate information for a wide range of external users both in real-time and delayed mode. In this paper an architecture based on the OPeNDAP/THREDDS technology is proposed as a solution for these operational systems. In this context, a catalog merging solution is introduced for the MIM system, which results in the design and development of the THREDDS Dataset Merger (TDM): a set of services meant to merge THREDDS Dataset Inventory Catalogs, so to achieve a unique catalog service for a whole database federation. TDM service merges distributed and autonomous THREDDS catalogs in order to work out a virtual merged catalog. The TDM service was extended in order to provide automatic catalogs synchronization. This service allows extending the pull-based TDM paradigm to support push-based applications. Some security issues are also considered.

TEM Sample Prep Tool Matching—DualBeam FIB Cut Look and Measure Monitoring for Process Control and Development in a 300 mm IC Fab

2016 ◽  
Author(s):  
Jangbae Jeon
Keyword(s):  
Process Control ◽  
Sample Preparation ◽  
Continuous Improvement ◽  
Process Time ◽  
Operational Monitoring ◽  
Thickness Control ◽  
Running Time ◽  
End Products ◽  
Novel Method

Abstract This work presents a novel method of continuous improvement for faster, better and cheaper TEM sample preparation using Cut Look and Measure (CLM). The improvement of the process is executed by operational monitoring of daily beam conditions, end products, bulk thickness control, recipe usage and tool running time. This process produces a consequent decrease in rework rate and process time. In addition, it also increases throughput with better quality TEM samples.

Diagnostics of Track Infrastructure as Part of the Digitisation of Russian Railways

2020 ◽  
Vol 64 (188) ◽  
pp. 149-160
Author(s):  
Janusz Poliński
Keyword(s):  
Diagnostic Tools ◽  
Gradual Transition ◽  
Technical Diagnostics ◽  
Strategic Development ◽  
Railway Infrastructure ◽  
Monitoring And Forecasting ◽  
Infrastructure Maintenance ◽  
Result Analysis ◽  
Railway Maintenance ◽  
Condition Diagnosis

Technical diagnostics is an integral part of the railway maintenance process. Through timely maintenance, in addition to ensuring the safety, functional and technical reliability of the infrastructure, maintenance costs are reduced and downtime losses, due to failures or premature repair requests, are eliminated or reduced. The track infrastructure diagnostic tools have evolved. This is related to, among others, the miniaturisation of instruments, reading accuracy during motion, as well as upgraded measurement automation and result analysis. Currently, data obtained from multifunctional diagnostic tools is the basis for the developed Russian railway infrastructure maintenance and operation digital model. The strategic development of mobile diagnostic labs is the gradual transition to solutions with advanced digital analysis, supported by artificial intelligence, monitoring and forecasting. The article presents the development of mobile labs for the railroad infrastructure condition diagnosis up to the current solutions, in which measurements take place without human intervention and the obtained information is transmitted in real time to the analysis and decision centres. Keywords: rail transport, measuring wagons, digitisation of railways, Russian railways

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