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Skin cancer is one of the most common malignancies in fair skin population. It can be divided in two main classes: melanoma and non-melanoma skin cancer. This means that pigmented and, also, non-pigmented skin lesions might raise an important risk. Due to the fact that melanoma is more aggressive, pigmented skin lesions gained more attention in terms of automatic diagnosis. One of the most important...
Melanoma is the most aggressive type of skin cancer. The mortality degree and the treatment costs associated with this disease can be drastically reduced by its early detection. In this context, we investigate the correlation dimension of the attractor associated to a skin lesion for its relevance in the context of melanoma identification. The analysis is performed on non-standardized color images...
Detection of melanoma in early stages is critical in terms of life expectancy of the patient and, also, in terms of treatment costs. In this context, we investigate the feasibility of implementing an algorithm that uses nonstandardized color images of skin lesions for risk assessment. In this paper we present a methodology for real-time acquisition of quality verified images using smartphones. We...
This paper presents a telemedicine support system developed by implementing an integrated disaster management protocol, and providing specialized expertise in local/remote affected regions (affected civilians, soldiers, rescuers, explorers, people in remote areas, etc.). The system has a modular structure consisting in: a containerized management system (regional / local), a mobile monitoring-rescue...
Neurologists frequently use X-ray angiographic techniques in order to establish the optimal treatment or intervention procedure. Neurosurgeries performed at blood vessels level are difficult procedures because of the low accessibility in the human brain. Therefore, the establishment of a correct diagnosis based on angiographies is of paramount importance. Enhanced visualization of blood vessels by...
Determining the blood flow patterns from medical images taken with a contrast agent is a problem situated at the congruency of multiple domains: medicine, image processing, mechanics and automatics. The outcome of such investigations can be used by clinicians in diagnosis and treatment of vascular diseases. In this paper we propose a method for automatic detection of a cerebral disease - the arterio-venous...
There are two main approaches in the mathematical modeling of coupled systems of (bio)chemical reactions: continuous, represented by differential equations whose variables are concentrations or discrete, represented by stochastic processes whose variables are numbers of molecules. The latter approach is used mostly for biochemical systems with a low to moderate number of molecules of certain species...
This paper proposes a precise structure solution for the ratio control of nonlinear processes blend stations. The main feature of the proposed structure is to give a good ratio performance for both set-point changes and load disturbances that might occur in any one of the loops. For each loops (two or more) a nonlinear structure based on a multiple model and nonlinearity compensator is proposed. The...
For a class of affine systems with stable system matrix and oscillating behavior, the control objective consists of oscillations damping while tracking a piecewise constant reference signal. Under some controllability assumptions, a control solution consists of a pole assignment procedure combined with the internal model principle. The paper discusses, within a simulation experiment, a possible extension...
The paper presents respectively a modeling and a control approach of urban traffic networks, integrated into a software application. These approaches are based on an agent-oriented methodology and have as a goal the possibility of simulating, evaluating and optimizing the traffic in crowded areas, such as large cities, using both off line scenario policies and fine tuning scenario control.
The paper proposes a multiple model structure as control solution for some classes of hysteretic processes. This is developed using the nonlinear geometric characteristic of the process and a classical multiple model control algorithm. The components of the proposed structure are designed based on experimental tests, classic identification and closed loop pole placement methods. The applicability...
The goal of this paper is to present a set of algorithms — based on nonlinear time series analysis methods, use them for discrimination between normal and modified kidney tissue and conclude if this analysis is trustworthy. A set of 100 CT images of normal and benign/malign affected renal tissue was used. The classification procedure implies the association of a time series to every CT image and computation...
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