High Frequency Data Acquisition System for Modelling the Impact of Visitors on the Thermo-Hygrometric Conditions of Archaeological Sites: A Casa di Diana (Ostia Antica, Italy) Case Study

The paper aims to find the impact of financial events that occurred in one country on another. Taking the case of the Swiss Franc Unpegging of 2015 in Switzerland, the paper observes its impact on the Indian economy. This is done by studying the information asymmetry and herding behaviour in Indian market on the day of the event. The study uses two sets of data, (i) high frequency data and (ii) 3 years index data of both countries. The Ganger Causality test has been conducted to study the cause and effect relationship between the economies, which helps determine the impact on any of the countries. The study found that herding behaviour and information asymmetry in Indian market are now linked to each other in such a way that the country is affected even if the event has not occurred in the economy itself, however, only for a short duration of time. There also seems to be a huge gap between information available amongst all investors.

Download Full-text

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

MATEC Web of Conferences ◽

10.1051/matecconf/201927201021 ◽

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.

Download Full-text

Low-Cost, High-Frequency, Data Acquisition System for Condition Monitoring of Rotating Machinery through Vibration Analysis-Case Study

Sensors ◽

10.3390/s20123493 ◽

2020 ◽

Vol 20 (12) ◽

pp. 3493

Author(s):

César Ricardo Soto-Ocampo ◽

José Manuel Mera ◽

Juan David Cano-Moreno ◽

José Luis Garcia-Bernardo

Keyword(s):

Data Acquisition ◽

Condition Monitoring ◽

Vibration Analysis ◽

Low Cost ◽

Data Acquisition System ◽

Sampling Frequency ◽

Rotating Machinery ◽

Acquisition System ◽

Raspberry Pi

Data acquisition is a crucial stage in the execution of condition monitoring (CM) of rotating machinery, by means of vibration analysis. However, the major challenge in the execution of this technique lies in the features of the recording equipment (accuracy, resolution, sampling frequency and number of channels) and the cost they represent. The present work proposes a low-cost data acquisition system, based on Raspberry-Pi, with a high sampling frequency capacity in the recording of up to three channels. To demonstrate the effectiveness of the proposed data acquisition system, a case study is presented in which the vibrations registered in a bearing are analyzed for four degrees of failure.

Download Full-text