Deviation Analysis and Interval Modeling as Complementary Tools to Evaluate Insulin Dosing Algorithms in Diabetes

2019 ◽  
Author(s):  
D. Schauer ◽  
F. Reiterer ◽  
G. Freckmann ◽  
L. del Re
Keyword(s):  
Deviation Analysis ◽  
Interval Modeling

scholarly journals A Remote Sensor System Based on TDLAS Technique for Ammonia Leakage Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2448
Author(s):  
Hongbin Lu ◽  
Chuantao Zheng ◽  
Lei Zhang ◽  
Zhiwei Liu ◽  
Fang Song ◽  
...  
Keyword(s):  
Signal Processing ◽  
Limit Of Detection ◽  
Processing Technique ◽  
Tunable Diode Laser ◽  
Sensor System ◽  
Signal Processing Technique ◽  
Suppression Effect ◽  
Output Wavelength ◽  
Deviation Analysis ◽  
Remote Sensor

The development of an efficient, portable, real-time, and high-precision ammonia (NH3) remote sensor system is of great significance for environmental protection and citizens’ health. We developed a NH3 remote sensor system based on tunable diode laser absorption spectroscopy (TDLAS) technique to measure the NH3 leakage. In order to eliminate the interference of water vapor on NH3 detection, the wavelength-locked wavelength modulation spectroscopy technique was adopted to stabilize the output wavelength of the laser at 6612.7 cm−1, which significantly increased the sampling frequency of the sensor system. To solve the problem in that the light intensity received by the detector keeps changing, the 2f/1f signal processing technique was adopted. The practical application results proved that the 2f/1f signal processing technique had a satisfactory suppression effect on the signal fluctuation caused by distance changing. Using Allan deviation analysis, we determined the stability and limit of detection (LoD). The system could reach a LoD of 16.6 ppm·m at an average time of 2.8 s, and a LoD of 0.5 ppm·m at an optimum averaging time of 778.4 s. Finally, the measurement result of simulated ammonia leakage verified that the ammonia remote sensor system could meet the need for ammonia leakage detection in the industrial production process.

Geometric morphometric contribution to septal deviation analysis

2019 ◽  
Vol 41 (7) ◽  
pp. 823-831 ◽  
Author(s):  
Thomas Radulesco ◽  
Djamel Hazbri ◽  
Patrick Dessi ◽  
Pascal Adalian ◽  
Justin Michel
Keyword(s):  
Septal Deviation ◽  
Geometric Morphometric ◽  
Deviation Analysis

scholarly journals Uncertainty Analysis of Multisource Land Cover Products in China

2021 ◽  
Vol 13 (16) ◽  
pp. 8857
Author(s):  
Longhao Wang ◽  
Jiaxin Jin
Keyword(s):  
Land Cover ◽  
Forest Cover ◽  
Regional Scale ◽  
Least Squares Regression ◽  
Average Deviation ◽  
Deviation Analysis ◽  
Land Cover Data ◽  
Spatial Changes ◽  
Forest Coverage ◽  
High Consistency

Satellite-based land cover products play a crucial role in sustainability. There are several types of land cover products, such as qualitative products with discrete classes, semiquantitative products with several classes at a predetermined ratio, and quantitative products with land cover fractions. The proportions of land cover types in the grids with coarse resolution should be considered when used at the regional scale (e.g., modeling and remote sensing inversion). However, uncertainty, which varies with spatial distribution and resolution, needs to be studied further. This study used MCD12, ESA CCI, and MEaSURES VCF land cover data as indicators of qualitative, semiquantitative, and quantitative products, respectively, to explore the uncertainty of multisource land cover data. The methods of maximum area aggregation, deviation analysis, and least squares regression were used to investigate spatiotemporal changes in forests and nontree vegetation at diverse pixel resolutions across China. The results showed that the average difference in forest coverage for the three products was 8%, and the average deviation was 11.2%. For forest cover, the VCF and ESA CCI exhibited high consistency. For nontree vegetation, the ESA CCI and MODIS exhibited the lowest differences. The overall uncertainty in the temporal and spatial changes of the three products was relatively small, but there were significant differences in local areas (e.g., southeastern hills). Notably, as the spatial resolution decreased, the three products’ uncertainty decreased, and the resolution of 0.1° was the inflection point of consistency.

scholarly journals Social smile reproducibility using 3-D stereophotogrammetry and reverse engineering technology

2016 ◽  
Vol 86 (3) ◽  
pp. 448-455 ◽  
Author(s):  
Furkan Dindaroğlu ◽  
Gökhan Serhat Duran ◽  
Serkan Görgülü ◽  
Enver Yetkiner
Keyword(s):  
Reverse Engineering ◽  
Individual Variability ◽  
Reference Image ◽  
Mean Deviation ◽  
Single Image ◽  
Engineering Technology ◽  
Deviation Analysis ◽  
The Social ◽  
The Mean ◽  
Clinically Significant

ABSTRACT Objective:  To assess the range of social smile reproducibility using 3-D stereophotogrammetry and reverse engineering technology. Materials and Methods:  Social smile images of white adolescents (N  =  15, mean age  =  15.4 ±1.5 years; range  =  14–17 years) were obtained using 3dMDFlex (3dMD, Atlanta, Ga). Each participant was asked to produce 16 social smiles at 3-minute intervals. All images were obtained in natural head position. Alignment of images, segmentation of smile area, and 3-D deviation analysis were carried out using Geomagic Control software (3D Systems Inc, Cary, NC). A single image was taken as a reference, and the remaining 15 images were compared with the reference image to evaluate positive and negative deviations. The differences between the mean deviation limits of participants with the highest and the lowest deviations and the total mean deviations were evaluated using Bland-Altman Plots. Results:  Minimum and maximum deviations of a single image from the reference image were 0.34 and 2.69 mm, respectively. Lowest deviation between two images was within 0.5 mm and 1.54 mm among all participants (mean, 0.96 ± 0.21 mm), and the highest deviation was between 0.41 mm and 2.69 mm (mean, 1.53 ± 0.46 mm). For a single patient, when all alignments were considered together, the mean deviation was between 0.32 ± 0.10 mm and 0.59 ± 0.24 mm. Mean deviation for one image was between 0.14 and 1.21 mm. Conclusions:  The range of reproducibility of the social smile presented individual variability, but this variation was not clinically significant or detectable under routine clinical observation.

Exploring epicentres empirically

2016 ◽  
Vol 37 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Stefan Th. Gries ◽  
Tobias Bernaisch
Keyword(s):  
South Asia ◽  
Random Effects ◽  
South Asian ◽  
Double Object ◽  
Indian English ◽  
British English ◽  
Double Object Construction ◽  
Deviation Analysis ◽  
Dative Alternation ◽  
Object Construction

The present paper studies the dative alternation with GIVE, i.e. the alternation between the double-object construction (e.g. John gave Mary a book) and the prepositional dative (e.g. John gave a book to Mary), in relation to the norms underlying this constructional choice in six South Asian Englishes. Via Multifactorial Prediction and Deviation Analysis with Regression (MuPDAR) including random effects, we identify (i) factors triggering different constructional choices in South Asian Englishes in comparison to British English and (ii) the linguistic epicentre of English in South Asia with regard to the dative alternation. We are able to show that discourse accessibility of patient and recipient as well as pronominality of recipient are actuators of structural nativisation in South Asian Englishes and — in agreement with a more general sociolinguistic approach — find via a bottom-up approach that Indian English may be regarded as the linguistic epicentre of English for South Asia.

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