Model-based characterization of CPS-fed printed dipole for innovative design of uniplanar integrated antenna

1999 ◽  
Vol 9 (9) ◽  
pp. 342-344 ◽  
Author(s):  
Lei Zhu ◽  
Ke Wu
2015 ◽  
Vol Vol. 17 no. 1 (Graph Theory) ◽  
Author(s):  
Mauricio Soto ◽  
Christopher Thraves-Caro

Graph Theory International audience In this document, we study the scope of the following graph model: each vertex is assigned to a box in ℝd and to a representative element that belongs to that box. Two vertices are connected by an edge if and only if its respective boxes contain the opposite representative element. We focus our study on the case where boxes (and therefore representative elements) associated to vertices are spread in ℝ. We give both, a combinatorial and an intersection characterization of the model. Based on these characterizations, we determine graph families that contain the model (e. g., boxicity 2 graphs) and others that the new model contains (e. g., rooted directed path). We also study the particular case where each representative element is the center of its respective box. In this particular case, we provide constructive representations for interval, block and outerplanar graphs. Finally, we show that the general and the particular model are not equivalent by constructing a graph family that separates the two cases.


2014 ◽  
Vol 41 (8Part1) ◽  
pp. 081907 ◽  
Author(s):  
Ryan G. Price ◽  
Sean Vance ◽  
Richard Cattaneo ◽  
Lonni Schultz ◽  
Mohamed A. Elshaikh ◽  
...  

2021 ◽  
pp. 229-248
Author(s):  
Carlos A. Santos Silva ◽  
Manar Amayri ◽  
Kaustav Basu

2015 ◽  
Vol 2 (2) ◽  
pp. 31-44 ◽  
Author(s):  
Anthony Scime ◽  
Nilay Saiya ◽  
Gregg R. Murray ◽  
Steven J. Jurek

In data analysis, when data are unattainable, it is common to select a closely related attribute as a proxy. But sometimes substitution of one attribute for another is not sufficient to satisfy the needs of the analysis. In these cases, a classification model based on one dataset can be investigated as a possible proxy for another closely related domain's dataset. If the model's structure is sufficient to classify data from the related domain, the model can be used as a proxy tree. Such a proxy tree also provides an alternative characterization of the related domain. Just as important, if the original model does not successfully classify the related domain data the domains are not as closely related as believed. This paper presents a methodology for evaluating datasets as proxies along with three cases that demonstrate the methodology and the three types of results.


Soft Matter ◽  
2019 ◽  
Vol 15 (28) ◽  
pp. 5562-5573 ◽  
Author(s):  
Hong-Cin Liou ◽  
Fabrizio Sabba ◽  
Aaron I. Packman ◽  
Alex Rosenthal ◽  
George Wells ◽  
...  

This paper presents a metrology approach combining optical coherence elastography measurements of circumferential elastic waves and model-based inverse analyses to nondestructively characterize the viscoelastic properties of soft spherical gels.


2018 ◽  
Vol 85 (6) ◽  
pp. 97-104
Author(s):  
Dmitriy Marinskiy ◽  
Jacek Lagowski

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