alfaDRA: A program for automatic elimination of variety self-proximities in alpha-design

2016 ◽  
Vol 122 ◽  
pp. 156-160 ◽  
Author(s):  
J. Janová ◽  
D. Hampel
Keyword(s):  
Automatic Elimination

Another Look at Nonholonomic Systems

1973 ◽  
Vol 40 (1) ◽  
pp. 101-104 ◽  
Author(s):  
C. E. Passerello ◽  
R. L. Huston
Keyword(s):  
Analytical Methods ◽  
Classical Problem ◽  
Nonholonomic Systems ◽  
Constraint Forces ◽  
Advantages And Disadvantages ◽  
Arbitrary Choice ◽  
Special Cases ◽  
Dependent Variables ◽  
Automatic Elimination ◽  
General Method

The relative advantages and disadvantages of various analytical methods for nonholonomic systems are briefly presented and discussed. The techniques of Kane’s method are then used to develop a derivation of a general method which consolidates and employs the advantages of the various classical methods. These advantages include the automatic elimination of nonworking constraint forces while avoiding the computation of vector components of acceleration. The method also provides for the arbitrary choice of dependent variables so that it may be adapted to a variety of nonholonomic systems. Two special cases are considered and the method is then illustrated in the classical problem of the rolling coin.

Effects of automatic item eliminations based on item test analysis

2007 ◽  
Vol 31 (3) ◽  
pp. 247-252
Author(s):  
Jaap H. J. Muntinga ◽  
Henk A. Schuil
Keyword(s):  
The Other ◽  
Cohort Effects ◽  
Test Results ◽  
Test Analysis ◽  
Course Content ◽  
Elimination Procedure ◽  
Item Statistics ◽  
Second Year ◽  
Automatic Elimination

Item test analysis is an aid to identify items that need to be eliminated from an assessment. An automatic elimination procedure based on item statistics, therefore, could help to increase the quality of a test in an objective manner. This was investigated by studying the effect of a standardized elimination procedure on the test results of a second-year course over a period of 6 successive years in 1,624 candidates. Cohort effects on the item elimination were examined by determining the number of additional items that had to be eliminated from three different tests in 3 successive academic years in two cohorts. The items that were part of more than one test and had to be eliminated according to the procedure in at least one of the tests appeared to have to be retained according to the same procedure in most of the other tests. The procedure harmed the high scoring students relatively more often than the other students, and the number of eliminated items appeared to be cohort dependent. As a consequence, automatic elimination procedures obscure the transparency of the grading process unacceptably and transform valid tests into inadequate samples of the course content.

Foreign Object Debris Detection and Automatic Elimination for Autonomous Electric Vehicles Wireless Charging Application

2020 ◽  
Vol 9 (2) ◽  
pp. 93-110
Author(s):  
Aqueel Ahmad ◽  
◽  
Mohammad Saad Alam ◽  
Yasser Rafat ◽  
◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Wireless Charging ◽  
Foreign Object ◽  
Element Analysis ◽  
Power Circuit ◽  
Modeling And Analysis ◽  
Detection Techniques ◽  
Foreign Objects ◽  
Living Objects ◽  
Automatic Elimination

Power pad designing, misalignment reduction, safety, automation, living object detection (LOD), and foreign object debris (FOD) detection are the key challenges in the commercialization of the high voltage wireless charging of Electric Vehicles (EV). The interruption from unwanted and sensitive foreign objects such as metal objects and living objects over the charging pads is an immense challenge for the static wireless charging of EV. In this manuscript, the problem of interference due to foreign objects and living objects has been analyzed, and an innovative laser- and sensor-based FOD detection method is proposed and verified by developing a prototype setup. Modeling and analysis of the effects of foreign objects have been performed using Finite Element Analysis (FEA) in Ansys Maxwell® environment. The analysis compares the consequence of the presence of foreign objects on the wireless charging power pad. The proposed method utilizes laser light and sensor for the detection and two-dimensional signal processing for the elimination of FOD. The proposed method is compatible with all types of static wireless charging systems without interrupting the power transfer and power circuit. The proposed system has been analyzed and compared with the various available FOD detection techniques. The feasibility of the proposed system has been assessed with the help of an on the bench hardware prototype implementation in the lab environment.

Gradation, design, and cost consideration in blending aggregates for asphaltic concrete pavements

1985 ◽  
Vol 12 (1) ◽  
pp. 82-93 ◽  
Author(s):  
Said M. Easa
Keyword(s):  
Specific Gravity ◽  
Minimum Cost ◽  
Plasticity Index ◽  
Feasible Region ◽  
Mean Deviation ◽  
Concrete Pavements ◽  
Asphaltic Concrete ◽  
Design Requirements ◽  
Automatic Elimination ◽  
Fineness Modulus

This paper presents an analytic (algorithmic) method for determining the optimum proportions of aggregates that satisfy specific gradation, design, and cost requirements of the blend. The gradation requirements include the specification limits and mean deviation from the midpoint of specifications limits. The design requirements include fineness modulus, plasticity index, and specific gravity. The optimum proportions may correspond to minimum mean deviation or minimum cost. In addition to providing the optimum solutions, the method provides the entire feasible region of proportions that may be useful if adjustments of proportions are deemed necessary.The paper first reviews existing aggregate blending methods, classifies them, and describes how the proposed method fits into that classification system. The method is then described along with its graphical interpretation. The method may be regarded as a simulation process and as such is not subjected to any type of constraints. Application of the method to a numerical aggregate blending problem was made to illustrate its use.While existing methods consider minimizing mean deviation (with no consideration of cost) or minimizing cost (with no consideration of mean deviation) the proposed method considers both mean deviation and cost as well as the physical properties. Other advantages of the method include adaptability to linear or stepwise cost functions of aggregates, automatic elimination of negative solutions, and provision for different weights (importance levels) of sieve specifications. Key words: blending, aggregate proportions, cost, mean deviation, gradation, specific gravity, plasticity index, fineness modulus, asphaltic concrete.

scholarly journals Automatic Morphological Sieving: Comparison between Different Methods, Application to DNA Ploidy Measurements

1999 ◽  
Vol 18 (4) ◽  
pp. 203-210
Author(s):  
Christophe Boudry ◽  
Paulette Herlin ◽  
Benoit Plancoulaine ◽  
Eric Masson ◽  
Abderrahim Elmoataz ◽  
...  
Keyword(s):  
Neural Network ◽  
Breast Carcinoma ◽  
Brain Tumour ◽  
Mathematical Morphology ◽  
False Positive ◽  
Dna Ploidy ◽  
Automatic Classification ◽  
Classification Methods ◽  
Automatic Methods ◽  
Automatic Elimination

The aim of the present study is to propose alternative automatic methods to time consuming interactive sorting of elements for DNA ploidy measurements. One archival brain tumour and two archival breast carcinoma were studied, corresponding to 7120 elements (3764 nuclei, 3356 debris and aggregates). Three automatic classification methods were tested to eliminate debris and aggregates from DNA ploidy measurements (mathematical morphology (MM), multiparametric analysis (MA) and neural network (NN)). Performances were evaluated by reference to interactive sorting. The results obtained for the three methods concerning the percentage of debris and aggregates automatically removed reach 63, 75 and 85% for MM, MA and NN methods, respectively, with false positive rates of 6, 21 and 25%. Information about DNA ploidy abnormalities were globally preserved after automatic elimination of debris and aggregates by MM and MA methods as opposed to NN method, showing that automatic classification methods can offer alternatives to tedious interactive elimination of debris and aggregates, for DNA ploidy measurements of archival tumours.

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