Hybrid auditory fMRI: In pursuit of increasing data acquisition while decreasing the impact of scanner noise

2021 ◽  
pp. 109198
Author(s):  
Matthew Heard ◽  
Xiangrui Li ◽  
Yune S. Lee
Keyword(s):  
Data Acquisition ◽  
Scanner Noise ◽  
The Impact

An improved de Laval nozzle experiment

2021 ◽  
pp. 030641902110341
Author(s):  
Nicholas Goodman ◽  
Brian J Leege ◽  
Peter E Johnson
Keyword(s):  
Data Acquisition ◽  
Laval Nozzle ◽  
Flow Characteristics ◽  
Data Acquisition System ◽  
Isentropic Flow ◽  
Hands On ◽  
De Laval Nozzle ◽  
Physical Phenomena ◽  
The Impact ◽  
The Relationship

Exposing students to hands-on experiments has been a common approach to illustrating complex physical phenomena that have been otherwise modelled solely mathematically. Compressible, isentropic flow in a duct is an example of such a phenomenon, and it is often demonstrated via a de Laval nozzle experiment. We have improved an existing converging/diverging nozzle experiment so that students can modify the location of the normal shock that develops in the diverging portion to better understand the relationship between the shock and the pressure. We have also improved the data acquisition system for this experiment and explained how visualisation of the standing shock is now possible. The results of the updated system demonstrate that the accuracy of the isentropic flow characteristics has not been lost. Through pre- and post-laboratory quizzes, we show the impact on student learning as well.

Re-Thinking of Data Acquisition Rates in the Era of Expensive Data

2016 ◽  
Author(s):  
Barton L. Smith ◽  
Douglas R. Neal
Keyword(s):  
Data Acquisition ◽  
Real Data ◽  
Effective Number ◽  
The Mean ◽  
Effective Number Of Samples ◽  
The Impact ◽  
Acquisition Rates

It is well known that the mean of a sample converges at a rate of 1/N, where N is the number of samples, assuming that are samples are statistically independent. This paper will show the impact of non-independent samples using real data as well as investigating the efficacy of methods to determine the effective number of samples with non-independent samples are acquired.

scholarly journals Flight manoeuvring and safe flight visualization with the aid of wide-ranging scrutiny and automation software

2019 ◽  
Vol 272 ◽  
pp. 01021
Author(s):  
J V Muruga Lal Jeyan ◽  
Jency Lal ◽  
M Senthil Kumar ◽  
Arfaj Ahamed Anwar
Keyword(s):  
Data Acquisition ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Display Module ◽  
Flight Data ◽  
Difficult Time ◽  
Standard Procedures ◽  
2D And 3D ◽  
The Impact ◽  
Graphical Presentation

This document guides to an efficient use of FDVCAS system. FDVCAS is a reconstruction, playback, interactive visualization tool, which collects, stores, processes, analyses and present the flight data in high fidelity graphical presentation in 2D and 3D format. It synchronizes and presents in both graphical and synthetic visual form to the extends of analysing the impact of the data on the system in 3D graphic animation. The existing process involves in capturing the data from different input sources and formats, analysing the features of the data monitoring is done manually in offline in a unsynchronized fashion, This is difficult, time consuming and requires highly skilled technical expertise as it is visualized in plain data form. The above standard procedures followed shall be integrated and automated with minimum intelligence to be built, in with the system. In order to analyse the flight data in a coherent way it is required to integrate both 2D and 3D form The proposed concept is the Development of a system with a single solution by providing data display, graphical charts and replay features with a sophisticated graphical user interface, which is super imposed on the outside window imagery. FDVCAS consists of Bypass data acquisition system, Outside Window Imagery (OWI) system with graphical analyser. Bypass data acquisition system receives data from aircraft recorder and transmits the data in engineering format to FDVCAS system. The OWI system has three main modules namely, 3D Visual module, GUI based Graphical analyser and Warning display module. The warnings and the graphical plots are super imposed on the 3D Visual.

scholarly journals Bringing Biometric Sensors to the Classroom: A Fingerprint Acquisition Laboratory for Improving Student Motivation and Commitment

2020 ◽  
Vol 10 (3) ◽  
pp. 880 ◽  
Author(s):  
Bogicevic Sretenovic ◽  
Milenkovic ◽  
Jovanovic ◽  
Simic ◽  
Minovic ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Flipped Classroom ◽  
Opportunity To Learn ◽  
Student Learning Outcomes ◽  
Evaluation Study ◽  
Biometric Data ◽  
Biometric Technology ◽  
Different Types ◽  
The University ◽  
The Impact

This paper presents a research study conducted in a specially developed laboratory for biometric engineering education. The laboratory gives students an opportunity to learn more about fingerprint acquisition and analyze the impact of acquisition on other parts of the biometric authentication process. An IoT approach was used, as different types of sensors (biometric sensors, thermometer, and humidity sensor) and components (heaters and workstations) were included in setting up a working surface for biometric data acquisition. Working surfaces create a network where data collected from each working station is recorded in a database. In parallel with biometric data acquisition, environmental condition parameters are recorded. Collected data is available to students for later analysis through the use of a specially developed visualization tool. In order to fully utilize the possibilities the laboratory provides, a flipped classroom approach was used. An evaluation study was done as a part of the course of Biometric technology held at the University of Belgrade. Research results show improvements in student learning outcomes and motivation.

Decision Procedure for Efficient Data Acquisition for Distinct Energy Prognosis Models

2017 ◽  
Vol 871 ◽  
pp. 115-124 ◽  
Author(s):  
Marian Süße ◽  
Johannes Stoldt ◽  
Andreas Schlegel ◽  
Matthias Putz
Keyword(s):  
Energy Efficiency ◽  
Data Acquisition ◽  
Input Data ◽  
Analytic Hierarchy ◽  
Efficient Procedure ◽  
Energy Data ◽  
Efficient Data ◽  
The Impact ◽  
Hierarchy Process

The current challenges for enterprises are heavily linked to resource and energy efficiency, a result of political guidelines and the overall consciousness for environmental issues in society. Thus, the impact of energy efficiency on factory planning and production planning is of undeniable importance. Adequate consumption information utilising various depiction methods has become a necessity in this respect. Yet, only few works provide information on the efficiency of energy data acquisition methods. This paper proposes a methodological framework for defining an efficient procedure for energy data acquisition in accordance with the depiction or prognosis method. A preliminary literature review indicates the variety of methods for energy data depiction and prognosis. The classification of these methods regarding planning state and planning levels leads to the estimation of relevant input data. Based on the fundamental investigation of necessary input data the decision approach is developed with a general heuristic decision model and incorporates the Analytic Hierarchy Process for quantification and solution of the overall decision problem. Therefore the integration of multiple decision criteria enables the consideration of different quantitative and qualitative influences. As a result the whole approach supports the collaborative identification of means for energy data acquisition and is applicable in several circumstances where energy data needs to be gathered efficiently. The decision procedures exemplary application has shown the general proficiency of the approach and that excessive data acquisition which contradicts efficiency is avoidable.

Experimental Analysis of an Instrumented Charpy Impact Using Signal Processing Approach

2011 ◽  
Vol 197-198 ◽  
pp. 1621-1625
Author(s):  
Mohd Basri Ali ◽  
Shahrum Abdullah ◽  
M.Zaki Nuawi ◽  
M.M. Padzi ◽  
K.A. Zakaria
Keyword(s):  
Signal Processing ◽  
Data Acquisition ◽  
Method Comparison ◽  
Low Carbon Steel ◽  
Charpy Impact ◽  
Dynamic Responses ◽  
Low Carbon ◽  
Impact Machine ◽  
Processing Approach ◽  
The Impact

The dynamic responses of the standard charpy impact machine are experimentally studied using the relevant data acquisition system in order to obtain the impact response. For this reason, strain gauges were connected to the data acquisition set and it was then attached to the charpy striker for the signal collection. Aluminium 6061 and low carbon steel 1050 were used for extracting strain responses on the striker during the testing. In this work, the power spectrum density (PSD) approach was then used for the energy based observation and a signal was converted from the time domain to the frequency domain using the fast Fourier transform (FFT) method. Comparison between experimental findings with related parameters such as of different materials, strain signals pattern, I-kaz, were finally correlated and discussed. It was found that the modulus of elasticity were proportional to the energy absorbed, strain signals amplitude and PSD. Finally, it is suggested that the properties of materials and the impact signals pattern is suitable to be analysed using the signal processing approach.

scholarly journals The Impact of Computers on the Test Cell of Tomorrow

1983 ◽  
Author(s):  
Clifford F. Ash
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Test Procedure ◽  
Processing System ◽  
Open Loop ◽  
Engine Operation ◽  
Computer Data ◽  
Automatic Data ◽  
Data Acquisition And Processing ◽  
The Impact

Rapidly increasing fuel costs, the increasing complexity of the new engines now available, along with the inaccuracies, inefficiencies and long test cycles inherent in manual testing push the cost of engine testing to unnecessary levels. One promising avenue of relief is the automation of gas turbine testing through the use of real-time computer data acquisition and processing systems. Remarkable progress has been made in the area of closed-loop or fully automatic operation of the test process from start-up using various programmable steps, recording results as dictated by the test procedure, controlling operation and a safe engine shut down. This paper discusses the successful application of a real-time computer system with both closed and open-loop capabilities. This particular system called “ADAPS™” (Automatic Data Acquisition and Processing System) handled its first 3,000 hours of engine operation without a single hardware or software interruption. Savings in manpower alone in that period was nearly 18,000 man-hours.

scholarly journals Improving acces to aircraft meteorological data relay AMDAR

2021 ◽  
Author(s):  
Michal Bušovský ◽  
◽  
Miriam Jarošová
Keyword(s):  
Data Acquisition ◽  
Meteorological Parameters ◽  
Meteorological Data ◽  
Air Traffic ◽  
Data Sources ◽  
Commercial Aircraft ◽  
Use Of Data ◽  
Current State ◽  
The Impact ◽  
Weather Models

Paper deals with the use of aircraft sensors to obtain meteorological parameters required for predictive weather models, using parameters in ATM and meteorological research. It focuses on the current state of the problem of data acquisition, using the AMDAR system. Comparative use of data from other data sources such as Mode S EHS and Mode S MRAR. By building the necessary infrastructure or equipping of commercial aircraft. Within the paper is developed a methodology, which deals with obtaining data from LPS SR š.p., necessary for the comparison of different systems. The impact of the AMDAR system on aircraft instruments and on the safety of air traffic. Based on the analyzed facts, examples of the use of the system are pointed out, but also of the problems associated with this system.

scholarly journals Same Brain, Different Look?—The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters

2021 ◽  
Vol 10 (21) ◽  
pp. 4987
Author(s):  
Ronja Thieleking ◽  
Rui Zhang ◽  
Maria Paerisch ◽  
Kerstin Wirkner ◽  
Alfred Anwander ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Diffusion Imaging ◽  
Mean Diffusivity ◽  
Brain Regions ◽  
Clinical Diagnostics ◽  
Neuroimaging Data ◽  
Age Range ◽  
The Impact ◽  
The Brain ◽  
Healthy Participants

In clinical diagnostics and longitudinal studies, the reproducibility of MRI assessments is of high importance in order to detect pathological changes, but developments in MRI hard- and software often outrun extended periods of data acquisition and analysis. This could potentially introduce artefactual changes or mask pathological alterations. However, if and how changes of MRI hardware, scanning protocols or preprocessing software affect complex neuroimaging outcomes from, e.g., diffusion weighted imaging (DWI) remains largely understudied. We therefore compared DWI outcomes and artefact severity of 121 healthy participants (age range 19–54 years) who underwent two matched DWI protocols (Siemens product and Center for Magnetic Resonance Research sequence) at two sites (Siemens 3T Magnetom Verio and Skyrafit). After different preprocessing steps, fractional anisotropy (FA) and mean diffusivity (MD) maps, obtained by tensor fitting, were processed with tract-based spatial statistics (TBSS). Inter-scanner and inter-sequence variability of skeletonised FA values reached up to 5% and differed largely in magnitude and direction across the brain. Skeletonised MD values differed up to 14% between scanners. We here demonstrate that DTI outcome measures strongly depend on imaging site and software, and that these biases vary between brain regions. These regionally inhomogeneous biases may exceed and considerably confound physiological effects such as ageing, highlighting the need to harmonise data acquisition and analysis. Future studies thus need to implement novel strategies to augment neuroimaging data reliability and replicability.

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