Research on Data Recording and Playback Systems for a Virtual Testing Framework

Virtual testing is a new engineering development trend to design, evaluate, and test new engineered products. This research proposes a virtual testing framework for new product development using three successive steps: (i) statistical model calibration, (ii) hypothesis test for validity check and (iii) virtual qualification. Statistical model calibration first improves the predictive capability of a computational model over a calibration domain. Next, the hypothesis test is performed under limited observed data to see if a calibrated model is sufficiently predictive for virtual testing of a new design. A u-pooling metric is employed for the hypothesis test to measure the degree of mismatch between predicted and observed results while considering uncertainty in the u-pooling metric due to the lack of experimental data. The calibrated model can be rejected only when the measured metric of the calibrated model strongly suggest that the null hypothesis—the calibrated model is valid—is false. If the null hypothesis is accepted, the virtual qualification process can be executed with a qualified model for new product developments. The qualification process builds a design decision matrix to aid in rational decision-making on the product developments. A computational model of a tire tread block was used to demonstrate the effectiveness of the proposed framework.

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International conference on video and data recording

IEE Proceedings E Computers and Digital Techniques ◽

10.1049/ip-e.1980.0004 ◽

1980 ◽

Vol 127 (1) ◽

pp. 6

Author(s):

B.K. Middleton

Keyword(s):

Data Recording ◽

International Conference

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PENELITIAN DAN PENGEMBANGAN SENSOR AROMATIK SEBAGAI ALAT DETEKSI ALKOHOL PADA PARFUM DAN WEWANGIAN UNTUK AUTENTIKASI PRODUK PARFUM HALAL

Jurnal Penelitian Agama ◽

10.24090/jpa.v18i2.2017.pp302-322 ◽

2017 ◽

Vol 18 (2) ◽

pp. 302-322

Author(s):

Fajar Hardoyono

Keyword(s):

Sensor Array ◽

Principal Component ◽

Metal Oxide Semiconductor ◽

Oxide Semiconductor ◽

Response Patterns ◽

Data Recording ◽

Analysis Method ◽

Sample Group ◽

Array Pattern ◽

Group Data

Abstract: The development of aromatic sensor array instrument for the detection of alcohol in perfume. The research was conducted by developing the sensor array using 8 sensors made of metal oxide semiconductor. The sensor types used in this study consisted of TGS 813, TGS 822, TGS 2600, TGS 826, TGS 2611, TGS 2620, TGS 2612 and TGS 2602. Response patterns of 8 sensors formed a sensor array pattern used to detect the aroma of 2 groups of samples perfume made from the essential oil of ginger. The first sample group is pure ginger atsiri oil without mixed alcohol. The second sample group was made from the ginger atsiri oil mixed with alcohol with a level of 0.02 M. The results of the data recording show that the developed instrument is able to dissect the first sample group with the second sample group. Data analysis using principal component analysis method (PCA shows that the instrument is able to distinguish the contaminated alcohol perfume group 0.2 M with the alcohol-free perfume group with 100% accuracy. Keywords: Sensor Aroma, Perfume.

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