scholarly journals Desenvolvimento de hardware para a medição de parâmetros de temperatura e umidade em uma incubadora neonatal

2018 ◽  
Vol 1 (39) ◽  
pp. 121
Author(s):  
José Ilton Oliveira Filho ◽  
Otacílio Mota Almeida ◽  
José Medeiros Araújo Júnior
Keyword(s):  
Data Processing ◽  
Dynamic System ◽  
Data Acquisition ◽  
Electrical Engineering ◽  
The Other ◽  
Safety Certification ◽  
Minimum Requirements ◽  
Heating Load ◽  
Processing Techniques ◽  
Equipment Control

This paper presents the development of a control and validation hardware for neonatal incubators. The developed circuit is installed in the incubator located in the Electrical Engineering Course’s Laboratory of Control of the Federal University of Piauí - UFPI, and constitutes an important dynamic system for the development of control and data processing techniques for undergraduate and masters courses, focusing on the disciplines of Control, Instrumentation and Automation. The prototype created takes into account the requests of the IEC 60601-2-19 standard about the minimum requirements for hardware safety certification and equipment control for incubators. This project presents as result, two circuits, one being responsible for the processing and data acquisition and the other the control drive of the heating load. In addition, this work contains photos, schematics and graphics related to the system created

Data Acquisition and Data Processing Techniques

2021 ◽  
pp. 275-288
Author(s):  
Maksym Spiryagin ◽  
Stefano Bruni ◽  
Christopher Bosomworth ◽  
Peter Wolfs ◽  
Colin Cole
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Processing Techniques

scholarly journals A RE Methodology to achieve Accurate Polygon Models and NURBS Surfaces by Applying Different Data Processing Techniques

Metals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1508
Author(s):  
Alejandro Pascual ◽  
Naiara Ortega ◽  
Soraya Plaza ◽  
Ibon Holgado ◽  
Jon Iñaki Arrizubieta
Keyword(s):  
Data Processing ◽  
Reverse Engineering ◽  
Data Acquisition ◽  
Laser Scanner ◽  
Point Clouds ◽  
3D Models ◽  
Machining Processes ◽  
Cross Sectional ◽  
Processing Step ◽  
Processing Techniques

The scope of this work is to present a reverse engineering (RE) methodology to achieve accurate polygon models for 3D printing or additive manufacturing (AM) applications, as well as NURBS (Non-Uniform Rational B-Splines) surfaces for advanced machining processes. The accuracy of the 3D models generated by this RE process depends on the data acquisition system, the scanning conditions and the data processing techniques. To carry out this study, workpieces of different material and geometry were selected, using X-ray computed tomography (XRCT) and a Laser Scanner (LS) as data acquisition systems for scanning purposes. Once this is done, this work focuses on the data processing step in order to assess the accuracy of applying different processing techniques. Special attention is given to the XRCT data processing step. For that reason, the models generated from the LS point clouds processing step were utilized as a reference to perform the deviation analysis. Nonetheless, the proposed methodology could be applied for both data inputs: 2D cross-sectional images and point clouds. Finally, the target outputs of this data processing chain were evaluated due to their own reverse engineering applications, highlighting the promising future of the proposed methodology.

STUDI OF FRUIT LEATHER PROCESSING OF MANGGO

2013 ◽  
Vol 3 (2) ◽  
pp. 124-132
Author(s):  
Yessy Rosalina ◽  
Laili Susanti ◽  
Tatik Sulasmi
Keyword(s):  
Thin Sheet ◽  
Physical Appearance ◽  
The Other ◽  
Drying Temperature ◽  
Fruit Flesh ◽  
Leather Processing ◽  
High Yielding Varieties ◽  
Processing Techniques

Mango varieties Bengkulu is one of high yielding varieties from Bengkulu Province. The plants grow well and produce fruits almost year-around in all regions in the province of Bengkulu. Mango varieties Bengkulu have very large fruit, thick fruit flesh and slightly sour flavors. It makes Mango varieties Bengkulu is very suitable to be consumed in the form of a processed. Fruit leather is one form of processed fruit. Fruit leather is a thin sheet of fruit in dried form. The results showed that the best processing techniques of fruit leather for mango varieties Bengkulu is the process with addition of sugar by 20% and drying temperature at 60 ?C. The treatment produce fruit leather with the best physical appearance and flavor compared with the other treatments.

Review of data processing techniques for density profile evaluation from broadband FM-CW reflectometry on ASDEX Upgrade

2006 ◽  
Vol 46 (9) ◽  
pp. S693-S707 ◽  
Author(s):  
P Varela ◽  
M.E Manso ◽  
A Silva ◽  
the CFN Team ◽  
the ASDEX Upgrade Team
Keyword(s):  
Data Processing ◽  
Density Profile ◽  
Processing Techniques

Micro- and Nano-instrument Power

2006 ◽  
Vol 973 ◽  
Author(s):  
Vassili Karanassios
Keyword(s):  
Signal Processing ◽  
Chemical Analysis ◽  
Data Acquisition ◽  
Cancer Diagnosis ◽  
Paradigm Shift ◽  
The Other ◽  
Paradigm Shifts ◽  
Comparable Performance ◽  
Wireless Interface ◽  
Capsule Size

ABSTRACTFor the last several years, we have been developing and characterizing “mobile” micro- and nano-instruments for use on-site (e.g., in the field). Although such portable, battery-operated instruments are much smaller that their laboratory-scale counterparts, sometimes they provide comparable performance and they often offer improved capabilities. As such, they are expected to cause a paradigm shift in classical chemical analysis by allowing practioners to “bring the lab (or part of it) to the sample”. Two classes of examples will be used as the means with which to illustrate the power of micro- and nano-instruments. One class involves a “patient” as the sample and an ingestible capsule-size spectrometer used for cancer diagnosis of the gastro intestinal tack as (part of) “the lab”. The other involves the “environment” as the sample and a portable, battery-operated, miniaturized instrument that utilizes a PalmPilot™ with a wireless interface for data acquisition and signal processing as (part of) “the lab”. To discuss how to electrically power such miniaturized instruments, mobile energy issues will be addressed. Particular emphasis will be paid to current or anticipated future applications and to the paradigm shifts that may prove essential in powering the next generation of miniaturized instruments.

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