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In an asteroid exploration and sample return mission, accurate estimation of the shape and motion of the target asteroid is essential for selecting a touchdown site and navigating a spacecraft during touchdown operation. In this work, we present an automatic estimation method for the shape and motion of an asteroid, which is planned to be tested in future exploration missions including Japanese Hayabusa-2...
This paper presents a new and efficient approach for automatic pedestrian detection in infrared images. The approach consists of three steps; initially, background subtraction model designed based on the input image intensity properties of target and background region to suppress the noise in image. Secondly, order statistics filter is applied on the background suppressed image to enhance the target...
Echocardiography provides information about size, shape, and function of heart to create the image. Apical four-chamber echocardiography can be obtained by placing the ultrasound probe at the apex of the left ventricle. Such view enables to analyze heart abnormalities. In this regard, chamber quantification is recommended to evaluate the heart volume by defining the endocardial border of the chambers...
We propose a new model for the reconstruction of biological structures using Multiple-Angle Total Internal Reflection Fluorescence Microscopy (MA-TIRFM). This recent microscopy technique allows the visualization of sub-cellular structures around the plasma membrane which is of fundamental importance in the comprehension of exchanges mechanisms of the cell. We present a 3D reconstruction method based...
Current bio-kinematic encoders use velocity, acceleration and angular information to encode human exercises. However, in exercise physiology there is a need to distinguish between the shape of the trajectory and its execution dynamics. In this paper we propose such a two-component model and explore how best to compute these components of an action. In particular, we show how a new spatial indexing...
Sea-clutter has been studied for many years over a range of sea conditions, polarisations and geometries. The Defence Science and Technology Organisation's (DSTO) Ingara airborne X-band fully polarimetric radar has been used to collect data in the medium grazing angle region to evaluate models of the observed sea phenomenology and determine their impact on target detection. The focus of this work...
As a preprocessing step, image segmentation, which can do partition of an image into different regions, plays an important role in computer vision, objects recognition, tracking and image analysis. Till today, there are a large number of methods present that can extract the required foreground from the background. However, most of these methods are solely based on boundary or regional information...
The paper represents first part of two contributions dealing with simplified modular design of constrained P and disturbance observer (DO) based PI control with different filtering properties illustrated by example of speed servo control. This first part is devoted to analysis of the core structure of the P controller tuned for different types of nonmodelled or filter dynamics. Openness of the approach...
Coastal altimetric waveforms may be corrupted by peaks. A simple parametric model was recently introduced to model peaky altimetric waveforms. This model assumes that the received altimetric waveform is the sum of a Brown echo and a Gaussian peak. This model has provided interesting results for symmetric peaks affecting altimetric signals. However, it is not appropriate for altimetric signals corrupted...
The undecimated wavelet transform and the maximum a posteriori (MAP) criterion have been applied to the problem of despeckling SAR images. The solution is based on the assumption that the wavelet coefficients have a known distribution. In previous works, the generalized Gaussian function has been successfully employed. In this case, a major problem is the computational cost, since the solution can...
A new damage index named smeared cracked model damage index (SCMDI) based on the mean curvature of beam-type structure in time domain to detect cracks is presented, which introduces the smeared cracked model in damage mechanics, is demonstrated to be more robust and high efficiency in crack detection using a numerical model. The discrete measured responses for specified time interval are used to obtain...
Nanonetworking is an emerging field of research, where nanotechnology and communication engineering are applied on a common ground. Molecular Communication (MC) is a bio-inspired paradigm, where Nanonetworks, i.e., the interconnection of devices at the nanoscale, are based on the exchange of molecules. Amongst others, diffusion-based MC is expected to be suitable for covering short distances (nm-µm)...
Since the very beginning of neuroscience, neuroscientists have put their efforts in deciphering the brain's information processing capabilities. At different times they have discovered different information processing pathways. Sensing capabilities in mammals has always been an interesting area. For the rodents, whisking is the natural way to sense the environment. Using the Local Field Potentials...
Whisking is the natural way for the rodents to explore the environment. Using the Local Field Potentials (LFPs) recorded from the barrel columns of the rat somatosensory cortex (S1) is one of the ways to extract information about the signal processing pathway during tactile information processing. Studies have shown that intra-and trans-columnar microcircuits in the barrel cortex segregate and integrate...
Word-length optimization provides opportunities for minimization of implementation cost metrics such as power, area and delay. The constraints on cost in case of implementation on miniature embedded systems platforms continues to grow more stringent. Implementation of complex systems such as wireless communication transceivers is known to greatly benefit from optimal word-lengths. However, WL optimization...
Image moments have been widely used for designing robust shape descriptors that are invariant to rigid transformations. In this work, we address the problem of estimating non-rigid deformation fields based on image moment variations. By using a single family of polynomials to both parameterize the deformation field and to define image moments, we can represent image moments variation as a system of...
Circuit loop area reduction is a frequently used EMC technique for minimizing differential mode current radiations and improving the overall immunity of products from electrical noise. The efficiency characteristics of loop radiation are studied and new facts on loop radiation are described. The relationship of the radiation amplitude efficiency and frequency of the first radiation-peak with the size...
The Continuous Neural Field Theory introduces biologically-inspired competition mechanisms in computational models of perception and action. This paper deals with the use of Genetic Algorithms to optimize its parameters, as to guarantee the emergence of robust cognitive properties. Such properties include the tracking of initially salient stimuli despite strong noise and distracters. Interactions...
In this paper, we present a novel method to incorporate geometric shape prior into region-based active contours. Prior knowledge is obtained from a reference shape. This shape reference is used to define a new energy term obtained through a Fourier-based shape alignment. The new energy is invariant with respect to Euclidean transformations. Experimental results show the ability of the geometric shape...
The power distribution network in a printed circuit board (PCB) is an effective path for high-speed digital noise. The noise can be coupled by overlapping power/ground areas or by vias passing through them. This paper details a modeling approach and applies it to a multilayer PCB with six power/ground planes. The multilayer power/ground plane structure is modeled using the cavity model combined with...
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