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This paper deals with an optimal disturbance observer (DO) based filtered PID (DO-FPID) controller design based on the performance portrait method solved for a PD controller + double integrator + dead time loop configuration. By virtue of an equivalence of a dead time and n-th order filters used in DO-FPID control, the derived results may be used in a broad range of tasks originating in a control...
This paper directly compares sea clutter data gathered from two separate radar systems, Ingara from the Defence Science and Technology Organisation (DSTO) Australia and Fynmeet from the Council for Scientific and Industrial Research (CSIR), South Africa. The key quantitative difference explored in this paper is the difference in grazing angle, which is moderately high (15° – 46°) for the Ingara data...
A novel hardware architecture for Noise Cancellation (NC) based on adaptive speech probability density function (PDF) is proposed in this paper. The used PDF has two adaptive shape parameters which affect the quality of enhanced speech. Noise can be efficiently suppressed by estimating properly these parameters so that the adaptive speech PDF shape fits to the real speech PDF one. A novel hardware...
Audio-Games (AGs) are electronic games that mainly (or exclusively) implement auditory means to express the game's plot, mechanics and content. AG players need to concentrate on perceiving sound, in order to understand and play the game. Recent developments in the field of edutainment suggest that AGs can be implemented not only as entertaining systems, but also as valid tools for research and education...
This paper characterises the Doppler spectra of radar sea clutter using data collected by the Ingara radar at grazing angles in the range 29° to 38°. It is shown that recently proposed modelling and simulation methods for lower grazing angles are still applicable for this data. The modelling method is also extended to capture the bimodal behaviour observed with high intensity returns from breaking...
A method for simulating coherent sea clutter has been adapted for Pareto distributed clutter by using an inverse gamma distribution for the local clutter intensity. The model is applied to the range variation of Doppler spectra from Pareto distributed clutter collected at grazing angles of 31°–37° with the DSTO Ingara radar. The model produces Doppler spectra with a Gaussian shape that vary with range...
This research proposed a new model to differentiate leaf venation topology patterns using Multiscale Fractal Dimension. Identification of medicinal plants is important considering wide range of biodiversity in Indonesia and significant role of medicinal plants in Indonesia. Plants identification can be performed with shape analysis using plant leaf venation as a feature. Multiscale Fractal Dimension...
The probability distribution of the radar backscatter is commonly used to determine the threshold for separating targets from clutter. Analysis of sea-clutter data collected at high grazing angles, between 15° and 45°, by the Defence Science Technology Organisation (DSTO) Ingara fully polarimetric X-band radar has been used extensively to test distribution models given a large number of samples. The...
Underwater imaging is primarily focused on search and rescue, underwater mine detection, underwater cable and pipeline overhauling and underwater geological survey. Main challenge in underwater imaging is blurriness. In underwater environment blurriness is caused by many factors which includes microscopic organism, impurities and density of water which effects refractive index of water, and bokeh...
This paper investigates the speckle spot detection task in ultrasound images. Speckle spots are described by structural criteria: dimensions, shape, and topology. We propose to represent the image using a morphological inclusion tree, from which speckle spots are detected using their structural appearance. This makes the method independent of contrast, and hence robusts to intensity correction. The...
The paper aims to review and deepen the effects of the modal density in the dynamical identification with the Complex Plane Representation (CPR) method that is based on the Hilbert transform of the motion response of mechanical systems. It is demonstrated that the strong accuracy in the identification of the modal parameters with the CPR method can be somewhat corrupted for high modal densities. Theoretical...
Recognizing and grasping object of robots are two crucial issues for robots accomplishing complicated tasks in unstructured environments, where object representation is a key premise problem. In this paper, we study the representation methods for (1) object recognition, SHOT descriptor is further described by using Tsallis entropy, which greatly reduces the storage and the computation time; (2) grasp...
Arterial blood pressure (ABP) is an important vital sign of the cardiovascular system. As with other physiological signals, its measurement can be corrupted by different sources of noise, interference, and artifact. Here, we present an algorithm for the quantification of signal quality and for the reconstruction of the ABP waveform in noise-corrupted segments of the measurement. The algorithm quantifies...
In this paper, we present a scalable arrow detection technique for biomedical images to support information retrieval systems under the purview of content-based image retrieval (CBIR) and text information retrieval (TIR). The idea primarily follows the criteria based on the geometric properties of the arrow, where we introduce signatures from key points associated with it. To handle this, images are...
DBSCAN is a clustering algorithm based on density. It can divide regions which have a high density for clusters, shield the noise effectively and discover clusters of arbitrary shape and any size from dataset. However, DBSCAN algorithm needs to traverse dataset to find core objects, so it results in large amount of I/O cost when processing large-scale datasets. A fast algorithm (BEDBSCAN) is developed...
A method of sketch-based image retrieval by using saliency is proposed. This paper introduces saliency based on the color contrast into the sketch-based image retrieval to solve the common problems of scale and translation. Moreover, an improved Hausdorff distance is proposed to increase punishment on outliers, which avoids the negative effects caused by the outliers. The experiment result shows that...
This work tackles the challenging problem of multi-shot person re-identification in realistic unconstrained scenarios. While most previous research within re-identification field is based on single-shot mode due to the constraint of scales of conventional datasets, multi-shot case provides a more natural way for person recognition in surveillance systems. Multiple frames can be easily captured in...
Patients waiting for heart transplantation due to a failing heart can get a left ventricular assist device (LVAD) implanted through open chest surgery. The device consists of a pump that pumps blood from the left ventricle into the aorta. To get the correct rotation speed of the pump, the physicians consider a number of measurements as well as a sequence of echocardiographic images. The important...
Huge variety of medicine cures diseases. But unlabeled pills sometimes confuse people, even causing adverse drug events. This paper introduces a high accuracy automatic pill recognition method based on pill imprint which is a main discriminative factor between different pills. To describe the imprint information clearly, we propose a Two-step Sampling Distance Sets (TSDS) descriptor based on Distance...
Active contour is a popular technique for vascular segmentation. However, existing active contour segmentation methods require users to set values for various parameters, which requires insights to the method's mathematical formulation. Manual tuning of these parameters to optimize segmentation results is laborious for clinicians who often lack in-depth knowledge of the segmentation algorithms. Moreover,...
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