ERT Visualization of Gas Dispersion Performance of Aerofoil and Radial Impellers in an Agitated Vessel

2013 ◽  
Vol 64 (5) ◽  
Author(s):  
Mohd Sobri Takriff ◽  
Azmi Ahmad ◽  
Masli Irwan Rosli ◽  
Sadiah Jantan
Keyword(s):  
Real Time ◽  
Research Work ◽  
Projection Algorithm ◽  
Time Data ◽  
Gas Dispersion ◽  
Rushton Turbine ◽  
Agitated Vessel ◽  
Surface Plot ◽  
Reconstruction Software ◽  
Linear Back Projection

The objective of this research work was to determine the gas dispersion performance of an aerofoil impeller and a standard Rushton turbine for gas–liquid mixing an agitated vessel via electrical resistance tomography (ERT) visualization. The experimental work was carried out in a fully baffled 400-mm-diameter agitated vessel that was fitted with four planes of 16 stainless steel electrodes connected to an ITS P2000 ERT system. Agitation was achieved by using a Lightnin Labmaster system mounted on the vessel. The ITS ERT system is equipped with a real-time data acquisition system that has the capability to capture images at up to 20 frames per second. The gas dispersion images were reconstructed using built-in image reconstruction software based on a modified linear back projection algorithm. A Matlab code was also developed to further analyse the gas dispersion by plotting a real-time surface plot from the ERT data. Various gas dispersion conditions such as flooded, transition, and dispersed were successfully visualized and characterized using the ERT technique, and over the range of the experimental works, the standard Rushton turbine was found to be a more efficient than the Lightnin A320 impeller.

Leveraging on the Digital Twin for improving retail store daily operations management

2019 ◽  
Author(s):  
Yasmina Maizi ◽  
Ygal Bendavid
Keyword(s):  
Real Time ◽  
Operations Management ◽  
Impact Analysis ◽  
Manufacturing Sector ◽  
Research Work ◽  
Data Gathering ◽  
Time Data ◽  
Fast Development ◽  
The Face ◽  
The Impact

With the fast development of IoT technologies and the potential of real-time data gathering, allowing decision makers to take advantage of real-time visibility on their processes, the rise of Digital Twins (DT) has attracted several research interests. DT are among the highest technological trends for the near future and their evolution is expected to transform the face of several industries and applications and opens the door to a huge number of possibilities. However, DT concept application remains at a cradle stage and it is mainly restricted to the manufacturing sector. In fact, its true potential will be revealed in many other sectors. In this research paper, we aim to propose a DT prototype for instore daily operations management and test its impact on daily operations management performances. More specifically, for this specific research work, we focus the impact analysis of DT in the fitting rooms’ area.

scholarly journals Real-time data assimilation and control on mechanical systems under uncertainties

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Paul-Baptiste Rubio ◽  
Ludovic Chamoin ◽  
François Louf
Keyword(s):  
Data Assimilation ◽  
Real Time ◽  
Feedback Loop ◽  
Model Updating ◽  
Research Work ◽  
Welding Process ◽  
Fusion Welding ◽  
Time Data ◽  
Application Systems ◽  
And Control

AbstractThis research work deals with the implementation of so-called Dynamic Data-Driven Application Systems (DDDAS) in structural mechanics activities. It aims at designing a real-time numerical feedback loop between a physical system of interest and its numerical simulator, so that (i) the simulation model is dynamically updated from sequential and in situ observations on the system; (ii) the system is appropriately driven and controlled in service using predictions given by the simulator. In order to build such a feedback loop and take various uncertainties into account, a suitable stochastic framework is considered for both data assimilation and control, with the propagation of these uncertainties from model updating up to command synthesis by using a specific and attractive sampling technique. Furthermore, reduced order modeling based on the Proper Generalized Decomposition (PGD) technique is used all along the process in order to reach the real-time constraint. This permits fast multi-query evaluations and predictions, by means of the parametrized physics-based model, in the online phase of the feedback loop. The control of a fusion welding process under various scenarios is considered to illustrate the proposed methodology and to assess the performance of the associated numerical architecture.

scholarly journals Design and Implementation of Reliability Analysis Tool using Real Time Data

2019 ◽  
Vol 8 (12) ◽  
pp. 3210-3213
Keyword(s):  
Real Time ◽  
Software Reliability ◽  
Web Application ◽  
Research Work ◽  
Software Tool ◽  
Security Level ◽  
Data Sets ◽  
Analysis Tool ◽  
Time Data ◽  
Design And Testing

To estimate the reliability of software numerous statistical methods are in practice. To accomplish the software reliability prediction in more accurate way there is a huge demand for data sets. The data sets that can be acquired as a result of testing the software can be used for predicting the reliability. The research work focuses on creating a layer of software design and testing method namely web software testing. The main purpose is to collect the erroneous data from real time. The reliability of software can be measured in different aspects like traffic handling capability when there are a greater number of users, the security level for cracking the passwords and the possibility of different combinations of errors that occurs when inputting the data. This proposed software tool will read the software description, and will generate test patterns according to the input types and collects testing results, predicting the software reliability in real time and suggesting the possible ways to improve the software. For designing purpose PHP for web application will be used to give the testing results.

scholarly journals Enhancing Traffic Safety with Mobile Applications

2016 ◽  
Vol 9 (3) ◽  
pp. 216
Author(s):  
H Kaartinen ◽  
J Jämsä
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Mobile Applications ◽  
Data Transfer ◽  
Research Work ◽  
Transportation Systems ◽  
Point Of View ◽  
Time Data

Intelligent Transportation Systems (ITS) have great potential and market on modern traffic environment. Technologies of the day enable the real-time data transfer and presentation for the actors in traffic and outside of it. Inter-cognitive communication is a form of communication where an information system gathers data and processes it to a form of which users can benefit on their decision making. In this paper we will present how deploying new cognitive elements on mobile applications can increase traffic safety. The most important point of view in sharing the traffic data is how to present it for the driver and how to make the data transfer reliable and safe. New vehicles have built-in solutions, such as comprehensive infotainment systems, to present the information and warnings, but older vehicles do not have this option. Therefore the modern devices, such as smartphones and tablet computers can be utilized for these purposes. This paper describes Centria’s research work on developing mobile applications for improving the traffic flow and safety by real-time support for the driver’s decision making. Also, the data security has been studied and tested at Centria, and will be reported in this paper.

Ambulatory Assessment

2009 ◽  
Vol 14 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Ulrich W. Ebner-Priemer ◽  
Timothy J. Trull
Keyword(s):  
Real Time ◽  
Clinical Psychology ◽  
Real Life ◽  
Ambulatory Assessment ◽  
Computer Assisted ◽  
Affective Valence ◽  
Time Data ◽  
Physiological Processes ◽  
Context Specific ◽  
Questionnaire Studies

Convergent experimental data, autobiographical studies, and investigations on daily life have all demonstrated that gathering information retrospectively is a highly dubious methodology. Retrospection is subject to multiple systematic distortions (i.e., affective valence effect, mood congruent memory effect, duration neglect; peak end rule) as it is based on (often biased) storage and recollection of memories of the original experience or the behavior that are of interest. The method of choice to circumvent these biases is the use of electronic diaries to collect self-reported symptoms, behaviors, or physiological processes in real time. Different terms have been used for this kind of methodology: ambulatory assessment, ecological momentary assessment, experience sampling method, and real-time data capture. Even though the terms differ, they have in common the use of computer-assisted methodology to assess self-reported symptoms, behaviors, or physiological processes, while the participant undergoes normal daily activities. In this review we discuss the main features and advantages of ambulatory assessment regarding clinical psychology and psychiatry: (a) the use of realtime assessment to circumvent biased recollection, (b) assessment in real life to enhance generalizability, (c) repeated assessment to investigate within person processes, (d) multimodal assessment, including psychological, physiological and behavioral data, (e) the opportunity to assess and investigate context-specific relationships, and (f) the possibility of giving feedback in real time. Using prototypic examples from the literature of clinical psychology and psychiatry, we demonstrate that ambulatory assessment can answer specific research questions better than laboratory or questionnaire studies.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data
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