Weight prediction of pork cuts and tissue composition using spectral graph wavelet

2021 ◽  
Vol 299 ◽  
pp. 110501
Author(s):  
Majid Masoumi ◽  
Marcel Marcoux ◽  
Laurence Maignel ◽  
Candido Pomar
2019 ◽  
Author(s):  
Nasir Saeed ◽  
Mohamed-Slim Alouini ◽  
Tareq Y. Al-Naffouri

<div>Localization is a fundamental task for optical internet</div><div>of underwater things (O-IoUT) to enable various applications</div><div>such as data tagging, routing, navigation, and maintaining link connectivity. The accuracy of the localization techniques for OIoUT greatly relies on the location of the anchors. Therefore, recently localization techniques for O-IoUT which optimize the anchor’s location are proposed. However, optimization of anchors location for all the smart objects in the network is not a useful solution. Indeed, in a network of densely populated smart objects, the data collected by some sensors are more valuable than the data collected from other sensors. Therefore, in this paper, we propose a three-dimensional accurate localization technique by optimizing the anchor’s location for a set of smart objects. Spectral graph partitioning is used to select the set of valuable</div><div>sensors.</div>


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2081
Author(s):  
Marko Pavlin ◽  
Franc Novak ◽  
Gregor Papa

An electronic circuit for contactless detection of impedance changes in a tissue is presented. It operates on the principle of resonant frequency change of the resonator having the observed tissue as a dielectric. The operating frequency reflects the tissue dielectric properties (i.e., the tissue composition and on the tissue physiological changes). The sensor operation was tested within a medical application by measuring the breathing of a patient, which was an easy detectable physiological process. The advantage over conventional contact bioimpedance measurement methods is that no direct contact between the resonator and the body is required. Furthermore, the sensor’s wide operating range, ability to adapt to a broad range of measured materials, fast response, low power consumption, and small outline dimensions enables applications not only in the medical sector, but also in other domains. This can be extended, for example, to food industry or production maintenance, where the observed phenomena are reflected in dynamic dielectric properties of the observed object or material.


2021 ◽  
Vol 389 ◽  
pp. 113319
Author(s):  
Basile de Loynes ◽  
Fabien Navarro ◽  
Baptiste Olivier

1968 ◽  
Vol 215 (1) ◽  
pp. 75-77 ◽  
Author(s):  
M Steiner ◽  
HR Bourges ◽  
LS Freedman ◽  
SJ Gray

Sign in / Sign up

Export Citation Format

Share Document