INVESTIGACIÓN

@article{Mijarez2014,

title = {Damage detection in ACSR cables based on ultrasonic guided waves},

author = {Mijarez, Rito and Baltazar, Arturo and Rodr\'{i}guez-Rodr\'{i}guez, Joaquin and Ram\'{i}rez-Ni\~{n}o, Jose },

url = {http://revistas.unal.edu.co/index.php/dyna/article/view/40252/53905},

doi = { https://doi.org/10.15446/dyna.v81n186.40252},

issn = {0012-7353},

year  = {2014},

date = {2014-00-00},

journal = {DYNA},

volume = {81},

number = { 186},

pages = { 226-233},

abstract = {The use of ultrasonic guided waves is growing as a non-destructive testing technique of multi-wire cables used in civil engineering structures. Wave propagation characteristics in these types of structures have been challenging to investigate owing to the load-dependent inter-wire contact and the helical geometry of the peripheral wires. In this work, experiments of guided waves propagated in a 0.9m Aluminum Conductor Steel Reinforced (ACSR) cable were conducted employing two longitudinal piezoelectric transducers attached to the ends of the cable in a through transmission configuration. Longitudinal L(0,1) and flexural F(1,1) modes were identified at 500 kHz via dispersion curves and Wavelet Transforms (WT). Experiments included artificial damage introduced in the middle of the cable by cutting and gradually increasing the cut depth from 1mm to 9mm. The attained results suggest a change of guided modes excitation and reception from F(1,1) to L(0,1) due to reduced friction contact among individual wires. This change of guided waves modes in response to damage variations, associated with the transmitted ultrasonic energy, was identified and discussed as potential mean of damage monitoring.



Keywords: Ultrasonic guided waves; wavelet transform; ACSR cables inspection.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ju\'{a}rez-Maldonado2014,

title = {Dynamic modeling of mineral contents in greenhouse tomato crop},

author = {Ju\'{a}rez-Maldonado, Antonio and Benavides-Mendoza, Adalberto and de-Alba-Romenus, Karim and Morales-Diaz, America B.},

url = {http://www.scirp.org/journal/PaperInformation.aspx?paperID=42553},

doi = {10.4236/as.2014.52015},

issn = {2156-8561},

year  = {2014},

date = {2014-00-00},

journal = {agricultura sciences},

pages = {114-123 },

abstract = {Tomato is one the most important vegetables worldwide and mineral nutrition in tomato crops is considered as the second most important factor in crop management after water availability. Mathematical modeling techniques allow us to design strategies for nutrition management. In order to generate the necessary information to validate and calibrate a dynamic growth model, two tomato crop cycles were developed. Several mineral analyses were performed during crop development to determine the behavior of N, P, K, Ca, Mg and S in different organs of the plant. Regression models were generated to mimic the behavior of minerals in tomato plants and they were included in the model in order to simulate their dynamic behavior. The results of this experiments showed that the growth model adequately simulates leaf and fruit weight (EF \> 0.95 and Index \> 0.95). As for harvested fruits and harvested leaves, the simulation was less efficient (EF \< 0.90 and Index \< 0.90). Simulation of minerals was suitable for N, P, K and S as both, the EF and the Index, had higher values than 0.95. In the case of Ca and Mg, simulations showed indices below 0.90. These models can be used for planning crop management and to design more appropriate fertilization strategies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{SanchezEscobedo2013389,

title = {3D face shape prediction from a frontal image using cylindrical coordinates and partial least squares},

author = {Sanchez-Escobedo, Dalila and Castelan, Mario},

url = {http://www.sciencedirect.com/science/article/pii/S0167865512002929},

doi = {http://dx.doi.org/10.1016/j.patrec.2012.09.007},

issn = {0167-8655},

year  = {2013},

date = {2013-01-01},

journal = {Pattern Recognition Letters},

volume = {34},

number = {4},

pages = {389 - 399},

abstract = {This paper addresses the problem of linearly approximating 3D shape from intensities in the context of facial analysis. In other words, given a frontal pose grayscale input face, the direct estimation of its 3D structure is sought through a regression matrix. Approaches falling into this category generally assume that both 2D and 3D features are defined under Cartesian schemes, which is not optimal for the task of novel view synthesis. The current article aims to overcome this issue by exploiting the 3D structure of faces through cylindrical coordinates, aided by the partial least squares regression. In the context of facial shape analysis, partial least squares builds a set of basis faces, for both grayscale and 3D shape spaces, seeking for maximizing shared covariance between projections of the data along the basis faces. Experimental tests show how the cylindrical representations are suitable for the purposes of linear regression, resulting in a benefit for the generation of novel facial views, showing a potential use in model based face identification.},

note = {Advances in Pattern Recognition Methodology and Applications},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{LopezJuarez20135,

title = {Using Object’s Contour, Form and Depth to Embed Recognition Capability into Industrial Robots},

author = {Lopez-Juarez, Ismael and Castelan, Mario and Castro-Mart\^{i}nez, Francisco Javier and Pe\~{n}a-Cabrera, Mario and Osorio-Comparan, Roman},

url = {http://www.sciencedirect.com/science/article/pii/S1665642313715116},

doi = {http://dx.doi.org/10.1016/S1665-6423(13)71511-6},

issn = {1665-6423},

year  = {2013},

date = {2013-01-01},

journal = {Journal of Applied Research and Technology},

volume = {11},

number = {1},

pages = {5 - 17},

abstract = {Abstract Robot vision systems can differentiate parts by pattern matching irrespective of part orientation and location. Some manufacturers offer 3D guidance systems using robust vision and laser systems so that a 3D programmed point can be repeated even if the part is moved varying its location, rotation and orientation within the working space. Despite these developments, current industrial robots are still unable to recognize objects in a robust manner; that is, to distinguish an object among equally shaped objects taking into account not only the object’s contour but also its form and depth information, which is precisely the major contribution of this research. Our hypothesis establishes that it is possible to integrate a robust invariant object recognition capability into industrial robots by using image features from the object’s contour (boundary object information), its form (i.e., type of curvature or topographical surface information) and depth information (from stereo disparity maps). These features can be concatenated in order to form an invariant vector descriptor which is the input to an artificial neural network (ANN) for learning and recognition purposes. In this paper we present the recognition results under different working conditions using a KUKA KR16 industrial robot, which validated our approach.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RIVEROJUAREZ20131552,

title = {3D Heterogeneous Multi-sensor Global Registration},

author = {Rivero-Juarez, Joaquin and Martinez-Garcia, Edgar A. and Torres-Mendez, Luz Abril and Elara Mohan, Rajesh },

url = {http://www.sciencedirect.com/science/article/pii/S1877705813017517},

doi = {http://dx.doi.org/10.1016/j.proeng.2013.09.237},

issn = {1877-7058},

year  = {2013},

date = {2013-01-01},

journal = {Procedia Engineering},

volume = {64},

pages = {1552 - 1561},

abstract = {This manuscript presents a deterministic model to register heterogeneous 3D data arising from a ring of eight ultrasonic sonar, one high data density LiDAR (light detection and ranging), and a semi-ring of three visual sensors. The three visual sensors are arranged in a cylindrical ring, and although they provide 2D colour images, a radial multi-stereo geometric model is proposed to yield 3D data. All deployed sensors are geometrically placed on-board a wheeled mobile robot platform, and data registration is carried out navigating indoors. The sensor devices in discussion are coordinated and synchronized by a home-made distributed sensor suite system. Mathematical deterministic formulation for data registration is used to obtain experimental and numerical results on global mapping. Data registration relies on a geometric model to compute depth information from a semi- circular trinocular stereo sensor that is proposed to rectify and calibrate three image frames with different orientations and positions, but with same projection point.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Miranda2012,

title = {Face colour synthesis using partial least squares and the luminance-α-β colour transform},

author = {Miranda-Hernandez, Jocelyn and Castelan, Mario and Torres-Mendez, Luz Abril },

url = {http://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2011.0168},

doi = {10.1049/iet-cvi.2011.0168},

isbn = {1751-9632},

year  = {2012},

date = {2012-07-01},

journal = {IET Computer Vision},

volume = {6},

number = {4},

pages = {263-272},

abstract = {For many tasks, it is necessary to synthesise realistic colour in faces from greyscale values. This is the problem the authors address in this study. Rather than propagating colour information in some regions of the image or transferring colour from an image source to a greyscale using some corresponding criterion, as many colouring systems attempt to do, they seek to synthesise facial colour information using a database of examples. This methodology is divided into two main stages. In the first stage the facial skin tone is predicted through the multiple linear regression method known as partial least squares. This regression allows to define a linear transformation between facial greyscale and colour subspaces. The second stage involves the luminance-α-β (Lαβ) colour transform which is responsible for the recovery of the fine facial detail. The core of the proposed methodology is the combination of statistical subspace analysis with the appropriate colour transform so as to produce realistic facial colourisation results in a direct manner.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Martinez2012,

title = {Incorporating Angular Ratio Images into Two-Frame Stereo Algorithms},

author = {Martinez-Gonzalez, Pablo and Castelan, Mario },

url = {http://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/1372},

issn = {2007-9737},

year  = {2012},

date = {2012-01-02},

journal = {Computaci\'{o}n y Sistemas},

volume = {16},

number = {1},

pages = {53-69},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RIOSCABRERA2012742,

title = {Efficient multi-camera vehicle detection, tracking, and identification in a tunnel surveillance application},

author = {Rios-Cabrera, Reyes and Tuytelaars, Tinne and Van Gool, Luc J.},

url = {http://www.sciencedirect.com/science/article/pii/S1077314212000380},

doi = {http://dx.doi.org/10.1016/j.cviu.2012.02.006},

issn = {1077-3142},

year  = {2012},

date = {2012-01-01},

journal = {Computer Vision and Image Understanding},

volume = {116},

number = {6},

pages = {742 - 753},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Caldwell2012,

title = {A High Performance Tactile Feedback Display and Its Integration in Teleoperation},

author = {Caldwell, D. G. and Garcia-Hernandez, Nadia and Tsagarakis, N. G. and Sarakoglou, Ioannis},

url = {doi.ieeecomputersociety.org/10.1109/TOH.2012.20},

doi = {10.1109/TOH.2012.20},

issn = {1939-1412},

year  = {2012},

date = {2012-01-01},

journal = {IEEE Transactions on Haptics},

volume = {5},

pages = {252-263},

keywords = {},

pubstate = {published},

tppubtype = {article}

}