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In this paper are described some principles and new methods underlying the temperature adjustment in an laboratory electrical furnace. Due to high thermal inertia, classical Proportional-Integral-Derivative algorithms are difficult to be implemented when a high precision temperature adjustment is required. An original software algorithm written in C language performs the temperature control function,...
The paper summarizes basic rules in the design of simple, low cost sensors based on chaotic dynamics, moreover to analyze the influence of the window comparators on the accuracy and precision of these sensors. We show that the comparator blocks in the circuit for determining the time-in-window parameters can be a significant source of errors that can be easily overlooked. A new version of chaotic...
Several simple circuits with rather complex nonlinearities are presented, essentially based on diodes and varistors. These circuits are believed to extend the family of chaotic circuits based on diodes, as illustrated by the literature. Potential applications to chaotic sensors are briefly discussed.
Nonlinear systems able to develop chaotic dynamics have a tremendous potential in a large class of applications, because of the complexity of the behavior they exhibit and of the sensitivity of their operation to the process parameters. While these properties have been seen as disadvantages, the increased technical capabilities of mastering the operation of these systems and of analyzing their behavior...
We deal with the problem of the linearization of the sensor characteristic and propose a novel linearization method. The importance of the problem resides in the need to optimize the operation of huge numbers of various sensors in sensor networks in cheap but efficient IOT and mobile applications required by today technologies. The implementation is founded by results in the field of fuzzy logic systems...
We report the first development of a set of symptoms for a medical condition where the set of symptoms is based exclusively on information collected on the Internet. Also, we lay down a general method for doing so. Third, we introduce the first systematic set of symptoms for temporo-mandibular disorder (TMD) exclusively related to speech and suggest a set of known quantitative parameters for the analysis...
The main purpose of this brief study is to contribute to the improvement of the environment conditions estimation in models of path attenuation and SAR determinations. We propose a fuzzified extension of the Hata-Okumura model of electromagnetic waves propagation, with the purpose to improve and extend the current models in view of better computations of the limits imposed by human health concerns...
The aim of this paper is to propose a method of characterizing the physical activity of the articulations, based on measurements with wearable sensors and on correlative and predictive analysis of the signals from two sensors associated to an articulation of the leg or arm.
After analyzing several practical aspects of relevant data gathering under disaster circumstances, realistic requirements for the search for data under disaster conditions are determined and an optimized algorithm is proposed for the search and collection of data on SNs satisfying the requirements. A system built for performing the search is presented and search results are illustrated and discussed...
We study statistical issues related to the use of words in messages on SNs, as related to specific potentially catastrophic events, such as fires and earthquakes. The analysis investigates the frequency of the words in the messages of interest, moreover their temporal correlation, and aims to determine a reasonable number of keywords for the searches of the events, especially in relation with analytics...
We aim to contribute clarifying the concept of resilience and to introduce issues related to resilience computation. The contributions of this paper include interpretations of the resilience as a couple of largely dichotomic processes, the definition of several concepts related to resilience, the derivation of a set of properties of a resilience index previously introduced, an incipient study of the...
We propose a method for pattern generation for built-in self-testing and a class of pattern generators that may have advantages in wearables and portable devices for medical use. The generator is based on generalized binary tent maps. We investigate the capabilities of these maps to produce a wide range of patterns suitable for device testing.
Several matters related to noise design for preamplifiers are presented for very low frequencies, also pointing to issues raised by some circuits in the literature, including those with noise cancelling circuits. The changes in excess noise with temperature are of interest in applications such as wearable, where large variations of temperature can occur.
The paper reviews and complements the knowledge on the social network responses to brief duration events such as earthquakes, attacks, and aviation crashes. The main question asked are (i) if the number of posts related to such events is a credible source of information for assessing the number of people affected, and (ii) if the early information obtained from the momentary number of posts can be...
The purpose of this paper is to analyze the theoretical feasibility of several classes of iterated maps with specified, desired properties, to help design the feasible ones, and further investigate some of their properties. As the main theoretical result, we establish some feasibility conditions for iterated maps suitable for the implementation on microsystems. The topic intimately relates to exponential...
We present a neural classifier able to reliably determine the correlation between elementary image patterns and the characteristics of the chaotic regime of an artificial retina based on nonlinear dynamics. While the classifier is a typical neural one, it has the role of completing the neural retina with the equivalent of the upper layers of neurons in the nervous system of mammals. Without this classification...
We perform an empirical analysis of the statistic properties of the probability density functions (PDFs) of the ECGs. We show that the statistical analysis of the ECGs can reveal useful information on the noise in the recordings, and on the true ECG. The paper complements another paper by the second author, with theoretical character.
This paper is the third in a series of papers reporting on the results of protecting the microcontroller executed code against side attacks. The protection consists in randomizing, under the control of a chaotic circuit, of both the clock and the power supply voltage of a microcontroller. The results obtained by this double randomization are compared with the ones obtained with either clock or power...
We demonstrate that visual (geometric) patterns can be robustly recognized by an artificial retina composed of a chaotic sensitive system where the coding of the patterns is by attractor features and an artificial neural network is used to classify the attractors. This opens the door to sensorial systems that mimic the biological ones. The specificity of solutions of chaotic systems to their parameters...
We present a class of mixed adaptive filters that are able to switch between several modes of operation according to the statistical characteristics of the unknown noise when the class of true signals is known. The operation of the filters is explained in connection to the noise type.
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