scholarly journals Kalman filtering for the evaluation of the current-time function in d.c. polarography

Talanta ◽  
1986 ◽  
Vol 33 (7) ◽  
pp. 583-586 ◽  
Author(s):  
M Bos
1997 ◽  
Vol 62 (10) ◽  
pp. 1511-1526
Author(s):  
María-Luisa Alcaraz ◽  
Ángela Molina

A theoretical study of the potential-time response to sinusoidal current applied to static and dynamic electrodes for regeneration processes is presented. Methods for determination of the regeneration fraction, rate constant of the chemical reaction and heterogeneous kinetic parameters are proposed.


2014 ◽  
Vol 6 (4) ◽  
pp. 43-65 ◽  
Author(s):  
ObaidUllah Owais Khan ◽  
Kamran Ahsan ◽  
Abdul Salam

Tourism is one of the largest growing industry worldwide. A tourist will naturally keep on travelling to different countries and sub-continents. Several researchers have addressed and proposed Mobile applications to facilitate Tourist and Tourismin different areas. A Mobile application to assist nightblind tourist is still one of the unaddressed issues by the researchers. This paper proposes a Mobile application model for the Tourist who facesdifficulty in vision during dark times, referred to as night blindness. The proposed application model is based on the difference of current time with sunset time. The application module uses mobile technology and difference of time function to proactively alert the night blind tourist to reach its safe place or destination before sunset. This model also provides an alternate path and distance with respect to time and user location. This proposed mobile application is very useful for the apprehensive night blind tourist who feels fear in travelling during the close of day times.


1997 ◽  
Vol 42 (9) ◽  
pp. 1351-1359
Author(s):  
María-Luisa Alcaraz ◽  
Ángela Molina ◽  
Manuela López-Tenés

2017 ◽  
Vol 4 (1) ◽  
pp. 41-52
Author(s):  
Dedy Loebis

This paper presents the results of work undertaken to develop and test contrasting data analysis approaches for the detection of bursts/leaks and other anomalies within wate r supply systems at district meter area (DMA)level. This was conducted for Yorkshire Water (YW) sample data sets from the Harrogate and Dales (H&D), Yorkshire, United Kingdom water supply network as part of Project NEPTUNE EP/E003192/1 ). A data analysissystem based on Kalman filtering and statistical approach has been developed. The system has been applied to the analysis of flow and pressure data. The system was proved for one dataset case and have shown the ability to detect anomalies in flow and pres sure patterns, by correlating with other information. It will be shown that the Kalman/statistical approach is a promising approach at detecting subtle changes and higher frequency features, it has the potential to identify precursor features and smaller l eaks and hence could be useful for monitoring the development of leaks, prior to a large volume burst event.


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