Abstract:
The invention relates to a soft-computing method for establishing the dissipation law of the heat in a diesel Common Rail engine, in particular for establishing the dissipation mean speed (HRR) of the heat. The method provides the following steps:
choosing a number of Wiebe functions whereon a dissipation speed signal (HRR) of the heat is decomposed; applying a Transform Ψ to the dissipation speed signal (HRR) of the heat; carrying out analysis of homogeneity of the Transform Ψ output; realising a corresponding neural network MLP wherein the design is guided by an evolutive algorithm; making learn and testing the neural network MLP.
Abstract:
A probabilistic neural network, comprising a hidden layer of neurons, each computing respective membership matrix elements for an input vector of the neural network according to a respective radial basis function defined by a respective spread factor and according to the distance of the input vector from a respective constant vector, wherein said hidden layer comprises at least two neurons having different spread factors (S). A method of training the novel probabilistic neural network is also disclosed.
Abstract:
An encryption process comprises the following steps:
preliminarily choosing at least a secret key and a set of permutable functions defined on a certain phase space for encrypting/decrypting messages, choosing a code for encoding messages to be sent in the form of a number belonging to the phase space, and wherein the set of permutable functions is composed of modified chaotic maps generated by a composite function, the image of which is calculated modulo a certain pre-established integer number, obtained composing a first function, a second function and the inverse of said first function,
the secret key is defined by using the second function.
This process uses a particular type of chaotic maps, the "modified chaotic maps", that work only on integer numbers. Given that operations on integers are faster than operations in floating-point arithmetic, this encryption process is faster than other processes that use chaotic maps.
Abstract:
A method of sensing the air/fuel ratio in a combustion chamber of an internal combustion engine that may be easily implemented by a respective low-cost device is disclosed. The device includes a pressure sensor and a learning machine that generates a sensing signal representing the air/fuel ratio by processing the waveform of the pressure in at least a cylinder of the engine. In practice, the learning machine extracts characteristic parameters of the waveform of the pressure and in function of a certain number of them generates the sensing signal.
Abstract:
A method of performing a Grover's or a Deutsch-Jozsa's quantum algorithm using a certain binary function defined on a space having a basis of vectors of n of qubits, comprises carrying out a superposition operation over input vectors for generating components of linear superposition vectors referred on a second basis of vectors of n +1 qubits, an entanglement operation over components of the linear superposition vectors for generating components of numeric entanglement vectors, and an interference operation over components of the numeric entanglement vectors for generating components of output vectors. The method allows a non negligible time saving because the entanglement operation is carried out by generating, for components of each superposition vector, corresponding components of a numeric entanglement vector, each component referred to a respective vector of the second basis being
equal to the corresponding component of the respective superposition vector, if the binary function is null in correspondence of the vector of the first basis constituted by the first n qubits of the respective vector of the second basis, or the opposite of the corresponding component of the respective superposition vector, if the binary function is non null in correspondence of the vector of the first basis constituted by the first n qubits of the respective vector of the second basis. This method can be implemented in a relative quantum gate for running a Grover's or a Deutsch-Jozsa's quantum algorithm.
Abstract translation:使用在具有量子位n的向量的基础的空间上定义的特定二进制函数来执行Grover或Deutsch-Jozsa的量子算法的方法包括对输入向量执行叠加操作,用于生成参考的线性叠加向量的分量 n + 1个量子位的向量的第二基础,对于产生数字纠缠矢量的分量的线性叠加矢量的分量的纠缠操作,以及对于产生输出矢量的分量的数字纠缠矢量的分量的干扰操作。 该方法允许不可忽略的时间节省,因为纠缠操作是通过对每个叠加向量的分量产生数字纠缠矢量的对应分量来执行的,每个分量被称为第二基础的相应矢量相等 对应于相应叠加矢量的相应分量,如果二进制函数对应于由第二基元的相应矢量的第一n个量子位构成的第一基准矢量或与相应叠加矢量的相应分量相反的二进制函数为零 如果二进制函数对应于由第二基础的相应向量的第一n个量子位构成的第一基数的向量,则该二进制函数是非零的。 该方法可以在相对量子门中实现,用于运行Grover或Deutsch-Jozsa的量子算法。
Abstract:
A quantum gate carries out the superposition operation of a Grover's or of a Deutsch-Jozsa's quantum algorithm in a very fast manner because it performs all multiplications by using logic gates, that immediately output the result. The superposition operation of a Grover's and a Deutsch-Jozsa's quantum algorithm substantially consists in performing the Hadamard rotation over an input set of vectors producing a set of rotated vectors, calculating the tensor product of all the rotated vectors among them outputting a linear superposition set of vectors. The tensor product of all rotated vectors among them is carried out by logic gates. Moreover, a method of performing the superposition operation of a Grover's or of a Deutsch-Jozsa's quantum algorithm over an input set of vectors is disclosed.
Abstract:
In the present method of performing a quantum algorithm the superposition, entanglement and interference operators are determined for performing selection, crossover and mutation operations according to a genetic algorithm. Moreover, entanglement vectors generated by the entanglement operator of the quantum algorithm may be processed by a wise controller implementing a genetic algorithm, before being input to the interference operator. This algorithm may be easily implemented with a hardware quantum gate or with a software computer program running on a computer. Moreover, it can be used in a method for controlling a process and a relative control device of a process which is more robust, requires very little initial information about dynamic behavior of control objects in design process of intelligent control system, or random noise insensitive (invariant) in measurement system and in control feedback loop.