scholarly journals Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring

2019 ◽  
pp. 47-60 ◽  
Author(s):  
Shu-Mei Tseng ◽  
Bogdan Nicolae ◽  
George Bosilca ◽  
Emmanuel Jeannot ◽  
Aparna Chandramowlishwaran ◽  
...  
Keyword(s):  
Network Utilization ◽  
Online Prediction ◽  
Level Monitoring

New Detection Method for an Insulation Level Monitoring Device Used in Low-Voltage Distribution Lines

2016 ◽  
Vol 136 (11) ◽  
pp. 878-883 ◽  
Author(s):  
Kazunori Nishimura ◽  
Yusaku Marui ◽  
Satonori Nishimura ◽  
Wataru Sunayama
Keyword(s):  
Detection Method ◽  
Low Voltage ◽  
Monitoring Device ◽  
Voltage Distribution ◽  
Distribution Lines ◽  
Level Monitoring

AUTOMATIC WATER LEVEL MONITORING WITH IOT AND LPWAN

2019 ◽  
pp. 95-103
Author(s):  
Krum Videnov ◽  
Vanya Stoykova
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Water Sources ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Level Monitoring ◽  
Water Level Monitoring

Monitoring water levels of lakes, streams, rivers and other water basins is of essential importance and is a popular measurement for a number of different industries and organisations. Remote water level monitoring helps to provide an early warning feature by sending advance alerts when the water level is increased (reaches a certain threshold). The purpose of this report is to present an affordable solution for measuring water levels in water sources using IoT and LPWAN. The assembled system enables recording of water level fluctuations in real time and storing the collected data on a remote database through LoRaWAN for further processing and analysis.

Online Prediction Model Based on New Kernel Method

2014 ◽  
Vol 7 (1) ◽  
pp. 107
Author(s):  
Ilyes Elaissi ◽  
Okba Taouali ◽  
Messaoud Hassani
Keyword(s):  
Prediction Model ◽  
Kernel Method ◽  
Model Based ◽  
Online Prediction

Cloud computing demand elasticity algorithm based on ant colony algorithm

2020 ◽  
Vol 13 ◽  
Author(s):  
Chunyu Liu ◽  
Fengrui Mu ◽  
Weilong Zhang
Keyword(s):  
Ant Colony Algorithm ◽  
Theory Of Elasticity ◽  
Ant Colony ◽  
Demand Elasticity ◽  
Network Efficiency ◽  
Elasticity Of Demand ◽  
Operating Profit ◽  
Network Load ◽  
Network Utilization ◽  
The Impact

Background: In recent era of technology, the traditional Ant Colony Algorithm (ACO) is insufficient in solving the problem of network congestion and load balance, and network utilization. Methods: This paper proposes an improved ant colony algorithm, which considers the price factor based on the theory of elasticity of demand. The price factor is denominated in the impact on the network load which means indirect control of network load, congestion or auxiliary solution to calculate the idle resources caused by the low network utilization and reduced profits. Results: Experimental results show that the improved algorithm can balance the overall network load, extend the life of path by nearly 3 hours, greatly reduce the risk of network paralysis, and increase the profit of the manufacturer by 300 million Yuan. Conclusion: Furthermore, results shows that the improved method has a great application value in improving the network efficiency, balancing network load, prolonging network life and increasing network operating profit.

scholarly journals Evaluating the Appropriateness of Digoxin Level Monitoring

1999 ◽  
Vol 159 (4) ◽  
pp. 363 ◽  
Author(s):  
Fina Cañas ◽  
Milenko J. Tanasijevic ◽  
Nell Ma'luf ◽  
David W. Bates
Keyword(s):  
Digoxin Level ◽  
Level Monitoring
Sign in / Sign up

Export Citation Format

Share Document