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The paper is reviewing the new trends of the image sensing, the Super CCDs and the Backlit CMOS. One proposes a new HDR fuzzy-interpolative algorithm that can extend the dynamic range of a still Backlit CMOS image in the Super CCD SR manner: the fusion of two images, the first one with a normal exposure and the other underexposed.
Regression-type algorithms are widely used for system modeling and characterization. There are applications where such characterizations are to be performed “on-line” to support control mechanisms and other decisions. In embedded autonomous systems robustness considerations ask for techniques, which, in addition to reflecting the actual state of the system and its environment, can continuously provide...
In fuzzy logic, the usual way of choosing interpretations of logic connectives AND, OR, NOT is guided by the De Morgan law, resulting in De Morgan triplets. However, there are some important problem classes where De Morgan triplets do not exist. Instead, a new relationship is required among the connectives, which turn out to be members of the parameterized Frank family of t-norms and t-conorms. Based...
Iris Recognition has emerged as one of the best biometric authentication techniques in recent years. However, a significant drawback of this biometric modality is the constrained environment in which the user is enrolled and recognized. It typically requires the user to be very cooperative for good quality images to be captured. If this limitation could be effectively addressed, it would be possible...
The authors discuss membership functions in fuzzy reasoning, and also explain how to apply them to educational evaluation. In this paper, authors evaluate a student's work (drawing) by fuzzy reasoning and obtain quite effective results.
To find MST (Minimum Spanning Trees) in complete graph is a classical problem in operation research having network design as an important application. It is possible to solve MST problem efficiently, but its Biobjective versions are NP hard. In this paper, we present a comparison of two encoding schemes for representing tree in Biobjective optimization scenario. The three different instances of Biobjective...
We propose an automatic moment-based image recognition technique in this paper. The problem to be solved consists of classifying the images from a set, using the content similarity. In the feature extraction stage, we compute a set of feature vectors using area moments. An automatic unsupervised feature vector classification approach is proposed next. It uses a hierarchical agglomerative clustering...
We present a system for miRNA classification that implements a wide variety of miRNA features found in literature: structural, thermodynamical, information-theoretical, statistical, and comparative. A total of 1485 features are computed and various tests are performed. The classifier of choice used is Random Forests, which is also employed along with various feature selection strategies to determine...
Diabetic retinopathy (DR) is the damage to the eye's retina that occurs with long-term diabetes, which can eventually lead to blindness. Screening programs for DR are being introduced, however, an important prerequisite for automation is the accurate localization of the main anatomical features in the image, notably the optic disc (OD) and the macula. A series of interesting algorithms have been proposed...
Feed-Forward Neural Network (FFNN) has recently been utilized to estimate blood pressure (BP) from the oscillometric measurements. However, there has been no study till now that consolidated the role played by the different neural network (NN) training algorithms in affecting the BP estimates. This paper compares the estimation errors in the BP due to ten different training algorithms belonging to...
In this paper, we present a complex approach to improve microaneurysm detection in color fundus images. Microaneurysms are early signs of diabetic retinopathy, so it is essential to detect these lesions accurately in an automatic screening system. The recommended detection of microaneurysms is realized through several levels. First, a specific combination of different preprocessing methods for candidate...
This paper presents a new modality of analysing the state of health of human organism. The fractal phenomena recorded on the human palm, through electrographic images, is analysed as an interface between the internal and external environment. Studying the structures of strimers of the left and right hand, the diagnosis of the condition of normality or imbalance can be done.
The paper describes the way in which we can model and simulate a part of a complete automated manufacturing technological flow, namely the palletization part, meaning pieces arrangement in a certain order requested by the user. The purpose of the modelling is the determination of an adequate operation algorithm that can be further implemented in a real situation. In this case, we suppose that pieces...
Though the motivation for the initial researches on the topic had been military applications, target tracking problem has many practices in real life. In this paper, target tracking is used in the meaning of estimating the range, course and speed of the target moving on the constant route with constant speed. The inputs for the algorithm are the passive sonar measurements, that are bearings (line...
In this paper, an adaptive interval type-2 fuzzy neural network (FNN) controller is presented to synchronize multivariable chaotic systems with training data corrupted by noise or rule uncertainties. Adaptive interval type-2 FNN control scheme and sliding mode approach are incorporated to deal with the synchronization of two non-identical chaotic systems. In the meantime, based on the adaptive fuzzy...
Our research was focused on a Product Life Management (PLM) system implementation in a digital manufacturing environment. We simulated in our laboratory the perspectives to put into operation a PLM system, to help the decision process in a CAD/CAM/CAE developing process. We analyzed different PLM systems and the measured parameters are: number of the objects manipulated; the price of server installation...
This paper deals with the geometric issue of the contact between a wheel and a rail joint. A new model in this field is proposed. Actually, the wheel and rail elasticity is introduced in order to overcome the singularity of the contact force that is met in the classical approaches. The coordinates of the bicontact zone are calculated from nonlinear set equations derived from the Hertz's theory. This...
The following topics are dealt with :intelligent system; soft computing; signal processing; biomedical application; image processing; fuzzy theory; fuzzy logic; control and modelling; and evolutionary computing.
Total dialysis dose (Kt/V) is considered to be a major determinant of morbidity and mortality in hemodialyzed patients. The continuous growth of the blood urea concentration over the 30- to 60-min period following dialysis, a phenomenon known as urea rebound, is a critical factor in determining the true dose of hemodialysis. The misestimation of the equilibrated (true) post-dialysis blood urea or...
The information in medical imaging is structured on multiple layers: semantic and numerical. Several algorithms for shape and color detection which can be used for numerical analysis are presented in this paper. Semantic information can be extracted from numerical information using fuzzyfication. For a correct image interpretation and a diagnosis formulation several of the objects features (shape,...
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