scholarly journals A controlled statistical study to assess measurement variability as a function of test object position and configuration for automated surveillance in a multicenter longitudinal COPD study (SPIROMICS)

2016 ◽  
Vol 43 (5) ◽  
pp. 2598-2610 ◽  
Author(s):  
Junfeng Guo ◽  
Chao Wang ◽  
Kung-Sik Chan ◽  
Dakai Jin ◽  
Punam K. Saha ◽  
...  
Keyword(s):  
Test Object ◽  
Statistical Study ◽  
Measurement Variability ◽  
Object Position ◽  
Automated Surveillance

scholarly journals Test-object recognition in thermal images

2019 ◽  
Vol 43 (3) ◽  
pp. 402-411
Author(s):  
A.V. Mingalev ◽  
A.V. Belov ◽  
I.M. Gabdullin ◽  
R.R. Agafonova ◽  
S.N. Shusharin
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Test Object ◽  
Region Of Interest ◽  
Thermal Image ◽  
Single Shot ◽  
Object Size ◽  
Object Position ◽  
Correlation Image

The paper presents a comparative analysis of several methods for recognition of test-object position in a thermal image when setting and testing characteristics of thermal image channels in an automated mode. We consider methods of image recognition based on the correlation image comparison, Viola-Jones method, LeNet classificatory convolutional neural network, GoogleNet (Inception v.1) classificatory convolutional neural network, and a deep-learning-based convolutional neural network of Single-Shot Multibox Detector (SSD) VGG16 type. The best performance is reached via using the deep-learning-based convolutional neural network of the VGG16-type. The main advantages of this method include robustness to variations in the test object size; high values of accuracy and recall parameters; and doing without additional methods for RoI (region of interest) localization.

scholarly journals Manufacture Automation: Model and Object Recognition by Using Object Position Auto Locating Algorithm and Object Comparison Model

2000 ◽  
Vol 5 (2) ◽  
pp. 61-65
Author(s):  
Ching-Liang Su
Keyword(s):  
Object Recognition ◽  
Test Object ◽  
Object Position ◽  
Second Moment ◽  
Comparison Model ◽  
Center Point ◽  
Geometry Matching ◽  
Matching Technique ◽  
Test Face

This research uses the geometry matching technique to identify the different objects. The object is extracted from the background. The second moment 6 is used to find the orientation and the center point of the extracted object. Since the second moment can find the orientations and the center point of the object, the perfect object and the test object can be aligned to the same orientation. Furthermore, these two images can be shifted to the same centroid. After this, the perfect object can be subtracted from the test face. By using the subtracted result, the objects can be classified. The techniques used in this research can very accurately classify different objects.

Statistical Study of the Rotation Effect of Am Stars

1976 ◽  
Vol 32 ◽  
pp. 675-683
Author(s):  
Keiichi Kodaira
Keyword(s):  
Statistical Study ◽  
Rotation Velocity ◽  
General View ◽  
Slow Rotation ◽  
Rotation Effect

SummaryExcess of [m1] index of Am stars, relative to normal stars, is statistically found to be correlated with rotation velocity; the coefficient is estimated at ∆׀m1׀ /∆V(km/sec) ˜ - 0.0007 among Am stars. This result supports the general view that slow rotation is essential for Am phenomena.

Identification of Venous Variants in the Pineal Region with 3D Preoperative Navigation. A Statistical Study on the Venous Anatomy in the Living

Skull Base ◽  
2009 ◽  
Vol 19 (01) ◽  
Author(s):  
Mario Giordano ◽  
Wolf Luedemann ◽  
Lennart Stieglitz ◽  
Karsten Wrede ◽  
Laura Columbano ◽  
...  
Keyword(s):  
Statistical Study ◽  
Pineal Region ◽  
Venous Anatomy

A Statistical Study of Process Variables to Optimize a High Speed Curtain Coater: Part I

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 20-26 ◽  
Author(s):  
PEEYUSH TRIPATHI ◽  
MARGARET JOYCE ◽  
PAUL D. FLEMING ◽  
MASAHIRO SUGIHARA
Keyword(s):  
Boundary Layer ◽  
Experimental Design ◽  
High Speed ◽  
Statistical Study ◽  
Process Variables ◽  
High Speeds ◽  
The Stability ◽  
Air Removal ◽  
Removal System

Using an experimental design approach, researchers altered process parameters and material prop-erties to stabilize the curtain of a pilot curtain coater at high speeds. Part I of this paper identifies the four significant variables that influence curtain stability. The boundary layer air removal system was critical to the stability of the curtain and base sheet roughness was found to be very important. A shear thinning coating rheology and higher curtain heights improved the curtain stability at high speeds. The sizing of the base sheet affected coverage and cur-tain stability because of its effect on base sheet wettability. The role of surfactant was inconclusive. Part II of this paper will report on further optimization of curtain stability with these four variables using a D-optimal partial-facto-rial design.

Larvae Chironomus riparius (Diptera: Chironomidae) as Sensitive to Copper Test-Object

2011 ◽  
Vol 47 (6) ◽  
pp. 99-103
Author(s):  
V. D. Romanenko ◽  
M. T. Goncharova
Keyword(s):  
Test Object ◽  
Chironomus Riparius

Statistical Study of Impetigo Contagiosa in the Last Three Years

1980 ◽  
Vol 42 (4) ◽  
pp. 665-669 ◽  
Author(s):  
Satoshi DEKIO ◽  
Yoshiko MAEHAMA ◽  
Reiko YAMASAKI ◽  
Kazuko HAMANAKA ◽  
Sanae IKEDA
Keyword(s):  
Statistical Study ◽  
Impetigo Contagiosa
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