The Performance of Cargo Airdrop Systems Using G-12E Parachutes: Statistical Determination of Minimum Altitude.

1995 ◽  
Author(s):  
Steven E. Kunz
Keyword(s):  
Statistical Determination

Statistical determination of normal modes

1987 ◽  
Vol 64 (5) ◽  
pp. 425 ◽  
Author(s):  
John F. Geldard ◽  
Lawrence R. Pratt
Keyword(s):  
Normal Modes ◽  
Statistical Determination

The Statistical Determination of Demand Curves

1925 ◽  
Vol 39 (4) ◽  
pp. 503 ◽  
Author(s):  
Holbrook Working
Keyword(s):  
Demand Curves ◽  
Statistical Determination

Statistical Determination of Plating Process Variables for Multilayer Ceramic Chip Capacitors

1989 ◽  
Vol 72 (12) ◽  
pp. 2279-2281 ◽  
Author(s):  
Doug A. Benm ◽  
Carol J. Feltz ◽  
Richard Haynes ◽  
Steven C. Pinault
Keyword(s):  
Process Variables ◽  
Statistical Determination ◽  
Multilayer Ceramic

Multiparameter statistical determination of single fibre interphase properties

Ultrasonics ◽  
1995 ◽  
Vol 33 (5) ◽  
pp. 403-410
Author(s):  
Steven A. Cimaszewski ◽  
Hyunjune Yim ◽  
James H. Williams
Keyword(s):  
Single Fibre ◽  
Statistical Determination

A statistical determination of the location of emission in pulsars based on a new classification

1980 ◽  
Vol 4 (3) ◽  
pp. 220-227 ◽  
Author(s):  
Wu Xin-ji ◽  
Yang Hai-shou ◽  
Qiao Guo-jun ◽  
Deng Guo-xiang
Keyword(s):  
New Classification ◽  
Statistical Determination

Statistical Determination of the Experimental Channels Clogging Rates in Mini- and Microchannel Heat Exchangers

2019 ◽  
Vol 142 (2) ◽  
Author(s):  
Witold Rybiński ◽  
Jarosław Mikielewicz
Keyword(s):  
Heat Transfer ◽  
Heat Exchanger ◽  
Theoretical Model ◽  
Pressure Drop ◽  
Cold Water ◽  
Nondestructive Method ◽  
Microchannel Heat Exchanger ◽  
Statistical Determination ◽  
Experimental Values

Abstract This paper presents a new statistical, nondestructive method for determination of the experimental channels clogging rate in a mini- or microchannel heat exchanger. Channels clogging may be caused by inaccurate fabrication of the heat exchanger or by fouling of microchannels during exploitation. The theoretical model, used in this method, predicts a significant increase of the pressure drop as the number of clogged microchannels increases. However, the exchanger’s heat transfer rate decreases moderately. It may partly be caused by the additional heat transfer in metal walls, bypassing the inactive, clogged microchannels. The presented method was tested on the prototype of a microchannel heat exchanger. The experimental values of the pressure drop of the hot and cold water flows are 2–5 times higher than the values predicted for clean microchannels. The experimental values for the pressure drop and heat transfer are in good agreement with the values calculated by the use of the theoretical model. The presented statistical method gives two channels clogging rates (for the “hot” and “cold” channels) obtained during normal exploitation without cutting (destroying) the heat exchanger.

Statistical Determination of Decision-Making Regions for Branching Paths: An Algorithm With a Wheelchair Assistance Application

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Kelilah L. Wolkowicz ◽  
Robert D. Leary ◽  
Jason Z. Moore ◽  
Sean N. Brennan
Keyword(s):  
Decision Making ◽  
Experimental Situation ◽  
Path Following ◽  
Statistical Methodology ◽  
Robust Detection ◽  
Common Path ◽  
Decision Points ◽  
Decision Region ◽  
Statistical Determination

Abstract Typically, mobile vehicles follow the same paths repeatedly, resulting in a common path bounded with some variance. These paths are often punctuated by branches into other paths based on decision-making in the area around the branch. This work applies a statistical methodology to determine decision-making regions for branching paths. An average path is defined in the proposed algorithm, as well as boundaries representing variances along the path. The boundaries along each branching path intersect near the decision point; these intersections in path variances are used to determine path-branching locations. The resulting analysis provides decision points that are robust to typical path conditions, such as two paths that may not clearly diverge at a specific location. Additionally, the methodology defines decision region radii that encompass statistical memberships of a location relative to the branching paths. To validate the proposed technique, an off-line implementation of the decision-making region algorithm is applied to previously classified wheelchair path subsets. Results show robust detection of decision regions that intuitively agree with user decision-making in real-world path following. For the experimental situation of this study, approximately 70% of path locations were outside of decision regions and thus could be navigated with a significant reduction in user inputs.

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