Abstract: A parallel configuration system for hybrid propulsion vehicles is provided. The drive thrust is distributed between an electric engine and an internal combustion engine through a transmission system delivering the torque of both engines to the vehicle wheels. The internal combustion engine is a diesel engine operating at steady state at an operation point having the highest efficiency and with the consumption and emissions being reduced.

Abstract: A method of performing a Grover's or a Deutsch-Jozsa's quantum algorithm being input with a binary function defined on a space having a basis of vectors of n of qubits includes carrying out a superposition operation over input vectors for generating components of linear superposition vectors referred to a second basis of vectors of n+1 qubits. An entanglement operation is performed over components of the linear superposition vectors for generating components of numeric entanglement vectors. The method allows a non-negligible time savings because the entanglement operation does not multiply a superposition vector for an entanglement matrix, but generates components of an entanglement vector simply by copying or inverting respective components of the superposition vector depending on values of the binary function. An interference operation is performed over components of the numeric entanglement vectors for generating components of output vectors.

Abstract: In an encryption/decryption system for converting data signals between an unencrypted plaintext format and an encrypted ciphertext format plurality of round modules are provided permitting a respective set of input data signals (TEXT IN) to generate a respective set of output data signals (TEXT OUT) by means of transformation controlled by a round key (SUBKEY). The transformation is identified by at least one map function derived from a chaotic map.

Abstract: A method for generating a random number sequence whose randomness properties are determined a priori, includes defining a parametric map, calculating, in function of parameters of the map, the entropy and the Lyapunov exponent of random number sequences obtainable using the parametric map, and identifying at least a set of values of parameters for which the entropy and the Lyapunov exponent are positive numbers the map has no attracting point. The method further includes assigning a pre-established value as a first feedback value and cyclically carrying out the following steps for generating a random number sequence: determining the parameters inside the set as the numerical values of respective physical quantities, outputting a random number, according to the map with the parameters and the assigned feedback value, and assigning as new feedback value the output random number.

Abstract: A quantum gate performs the superposition operation of a Grover's or of a Deutsch-Jozsa's quantum algorithm in a very fast manner. This is done by performing all multiplications by using logic gates that immediately outputs the result. The superposition operation includes performing the Hadamard rotation over an input set of vectors for producing a set of rotated vectors, and calculating the tensor product of all the rotated vectors for outputting a linear superposition set of vectors. The tensor product of all the rotated vectors is carried out by the logic gates.

Abstract: A control device for a vehicle having at least one semiactive suspension arranged between a vehicle body and a wheel and having a damping coefficient that can be varied in a controlled way by an actuator governed by a control device, the control device including an accelerometric sensor generating a vehicle body acceleration signal; a potentiometer generating a suspension position signal; a signal conditioning unit for the calculation of the vehicle body speed and the damping speed; a fuzzy control unit that calculates the subsequent position of the actuator on the basis of the vehicle body speed and of the damping speed; and a driving unit which generates a control signal for the actuator.

Abstract: The fuzzy filtering of a noise signal comprising a plurality of signal samples [s(t,k)] is carried out using as variables the variation of the signal in the considered window and the distance of the samples from a sample to be reconstructed, to distinguish the typical variations of the original signal from those due to the noise and to identify the signal fronts. The method comprises the steps of defining a current signal sample [s(t)] from among the plurality of signal samples, calculating a plurality of difference samples [D(t,k)] as the difference in absolute value between the current signal sample and each signal sample and defining distance values (k) between the current signal sample and each signal sample.

Abstract: A filter performs a reduction of pulsed noise in video images in accordance with fuzzy logic. An interface circuit of the filter receives consecutive digital signals in time corresponding to the video images and generates an image window having a digital signal to be processed at the center. The filter also has a comparator block, a plurality of digital subtractors, and a memory circuit connected in cascade to the comparator block. The filter also has a filtering circuit that organizes values of digital signals of the video image, and an arithmetic block that performs a switch between the digital signal to be processed and the output of the filtering circuit on the basis of the values taken by the parameter.

Abstract: A method for recognizing geometric shapes in an image using fuzzy logic. The method includes determining an edge in the image and a gradient of the edge. The gradient is corrected by virtue of a first fuzzy logic process, and the number of points that belong to the curve are determined by virtue of a second fuzzy logic process. A fuzzy device for the recognition of geometric shapes in images that implementing the method includes an edge detector, a fuzzy gradient corrector to correct the gradient, and a fuzzy vote attributor to determine the number of points that belong to the curve.

Abstract: A fuzzy logic electronic controller whereby predetermined membership functions .mu.(x) of logic (X) variables are subjected to so-called inference operations configured essentially as IF-THEN rules with at least one front preposition and at least one rear implication. The controller is of a kind which includes an input or fuzzyfier section having a plurality of inputs for analog or digital signals, a central control unit or fuzzy controller core placed after said input section and being provided with memories, and an output section or defuzzyfier connected to the output of the central unit to convert the results of the inference operations back to analog or digital signals.

Abstract: A method for setting up the memories of an electronic controller operated in a fuzzy logic manner whereby membership functions (.mu.(x)) of logic variables are subjected to inference operations which are configured as a set of (IF-THEN) rules, each having at least one fore (IF) preposition and at least one consequent (THEN) implication. The memories prearranged to store the data about a set of membership functions tied to the fore (IF) parts of the (IF-THEN) rules separately from the data associating each logic variable (X) with a corresponding one of the membership functions in said set.

Abstract: A filter achieving noise reduction and digital signal image edge enhancement includes two noise reduction circuits designed to enhance an image edge. The noise reduction circuits comprise both comparison units, which receive separate digital signals of an image and an inferential circuit connected to said comparison elements. Each inferential circuit uses a fuzzy logic unit designed to define activation levels based on signals generated by the comparison elements. The filter also includes a noise detection circuit and an image edge detection circuit both connected to the noise reduction circuit and designed to perform operations in accordance with fuzzy logic rules on the basis of the activation levels defined in the inferential circuits. The filter also includes a noise reduction circuit connected to the noise detection circuit and is designed to filter the digital image signals on the basis of the operations performed by the noise detection circuit.

Abstract: A fuzzy device for image noise reduction, includes an interface adapted to retrieve the gray level of a pixel to be processed of an image and of neighbouring pixels; a difference circuit connected to the interface and adapted to generate a difference of the gray levels between said neighbouring pixels and said pixels to be processed; a fuzzy flat area smoothing circuit connected to the difference circuit and adapted to perform a low-pass smoothing of an almost homogeneous region defined by said pixel and by said neighbouring pixels; an edge preserving smoothing circuit connected to the difference circuit and adapted to perform low-pass filtering on a high-frequency information region defined by the pixel and by the neighbouring pixels; a region voter circuit connected to the interface and adapted to give a measure for considering whether the region defined by the pixel and the neighbouring pixels is almost homogeneous; and a soft switching circuit connected to the outputs of the smoothing circuit and adapted

Abstract: A device for filtering video images, of the type which includes first and second circuit portions, each having first and second input terminals respectively adapted to receive digitalized luminance and chrominance components of a television signal, and an output terminal coinciding with an output terminal of the device. The first and second circuit portions further include first, second and third filters, cascade coupled to one another, and a fourth filter, respectively.The first, second and third filters incorporate a computational circuit which uses a logic of the fuzzy type to process the digitalized luminance component. The fourth filter includes a computational circuit which processes the digitalized chrominance components based upon a parameter supplied from the second filter.

Abstract: A filter architecture for high-resolution video applications of the type comprising at least one filter block having a plurality of digital inputs which receive through an interface components of a television signal and some outputs through which to take the result of a filtering operation for noise associated with the television signal also comprises in the filter block at least one interpolator block connected to said inputs and operating with fuzzy logic to execute a television signal scanning conversion to be presented on additional outputs of the filter block.

Abstract: An architecture for an electronic controller operated using fuzzy logic, including an input section with a plurality of inputs for analog or digital signals, a central control unit provided with memories wherein fuzzy logic membership functions are stored, and a defuzzyfier section has its input section composed of a plurality of fuzzyfiers arranged in parallel and independent of one another, each fuzzyfier including an analog input and a digital input for receiving signals from external sensors, and digital outputs connected to the input of a corresponding read-only memory of the central unit to select the address of a memory word.

Abstract: An architecture for an electronic controller operated using fuzzy logic, including an input section with a plurality of inputs for analog or digital signals, a central control unit provided with memories wherein fuzzy logic membership functions are stored) and a defuzzyfier section has its input section composed of a plurality of fuzzyfiers arranged in parallel and independent of one another, each fuzzyfier including an analog input and a digital input for receving signals from external sensors, and digital outputs connected to the input of a corresponding read-only memory of the central unit to select the address of a memory word.Membership functions are stored and retrieved from a memory according to a method which simplifies addressing and reduces the number of required accesses.

Abstract: A filter acting on digital image signals for apparatus of the video type includes at least first and second processing units adapted to elect an image edge, each processing unit includes an inferential circuit operating on fuzzy logic, which has first and second input terminals and an output terminal, and first and second comparison elements each having first and second input terminals and an output terminal, the input terminals being intended for receiving discrete digital signals of an image. The output terminals of the first and second comparison elements in the first processing unit are respectively connected to the first and second input terminals of the inferential circuit included in the first processing unit, and the output terminals of the first and second comparison elements in the second processing unit are respectively connected to the first and second input terminals of the inferential circuit included in the second processing unit.

Abstract: A television signal scanning conversion device of the type comprising at least one filtering block having a plurality of digital inputs which receive through an interface components of an interlaced television signal comprises also at lease one calculation block connected to the signal inputs and operating with fuzzy logic. The calculation block is capable of executing a switch between at least two different interpolation procedures, to wit interfield and intrafield.

Abstract: A filter architecture particularly for video applications, includes a filter section for separating high pass and low pass components from a video input signal conveying a video image, a brilliance estimating section for determining a mean brilliance value for each of a plurality of sections into which the video image is divided, first and second image characteristic adjusting sections for modifying the high pass and low pass components in response to the mean brilliance values, and a summing section for combining the modified high pass and low pass components to generate a filtered video signal. The first and second image characteristic adjusting sections operate using Fuzzy Logic which enables the filter architecture to effectively adjust contrast and brightness in the video image over a wide range of image brightness values.