State identification sequences, such as homing and distinguishing sequences (HS and DS), are widely used in FSM (Finite State Machine) based testing in order to reduce the size of a returned complete test suite as wel...
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The methods of digital and pulse signal modulation in modern computer systems of data transmission are analysed. Process of forming non-redundant coding that use the errors detection and correction in the Galois basis...
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ISBN:
(数字)9781728155661
ISBN:
(纸本)9781728155678
The methods of digital and pulse signal modulation in modern computer systems of data transmission are analysed. Process of forming non-redundant coding that use the errors detection and correction in the Galois basis are offered. Structures of special processors for forming signal correcting codes are built. Working algorithms for proposed coding methods are developed and their software implementation are offered. Circuit design of Galois code sequence generator is implemented. Work simulation and synthesis on FPGA of Xilinx are performed.
In this paper, the heat conduction equation for composite materials posed and solved. This problem is known as an inverse initial value problem for the heat conduction equation. In order to solve and formulate this in...
In this paper, the heat conduction equation for composite materials posed and solved. This problem is known as an inverse initial value problem for the heat conduction equation. In order to solve and formulate this inverse problem, the function spaces must be defined and represented. By studying and solving the direct problem for the heat equation in composite materials, it is possible to determine the function spaces and solve the inverse initial value problem. Scientific methods used: the separation of variables method used to solve the direct problem for the heat equation. It found that method separation of variables does not completely lead to the solution of the inverse initial value problem, since this method leads to a divergent series of solutions and rather massive errors. The heat conduction problem can be formulated as Fredholm integral first kind equations. The discretization algorithm applied to reformulated the problem as linear operator problem as matrix and vectors form. Then, Tikhonov's regularization inversion method has been used to find an approximation solution. Finally, as shown in the numerical example the regularized approximate solutions obtained.
Spectral analysis plays an important role in the interpretation of astronomical data. The determination of the number and parameters of each nested Gaussian curve on spectrum of any object in the sky gives information...
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Spectral analysis plays an important role in the interpretation of astronomical data. The determination of the number and parameters of each nested Gaussian curve on spectrum of any object in the sky gives information about the physical and chemical structure of the object. In this study, determination of each nested Gaussian curve's number and parameters such as position, width and amplitude in a given frequency range are performed. Thus, we have knowledge of about, which molecules there are in the observation region. Autonomous Gaussian Decomposition algorithm is implemented with additional scipy, numpy, h5py, lmfit packages. The algorithm is tested on spectral data that comes from active star forming region called as Orion KL obtained by SMA (Submillimeter Array) devices are used. Finally, information is given about positive and negative aspects of these study and in the future what should we do to improve the accuracy.
The paper focuses on the role of version redundancy, which increases with the expansion of critical applications and the tightening of their functional safety requirements. International standards governing these requ...
ISBN:
(数字)9781728199573
ISBN:
(纸本)9781728199580
The paper focuses on the role of version redundancy, which increases with the expansion of critical applications and the tightening of their functional safety requirements. International standards governing these requirements have already fixed the importance of version redundancy to counter common cause failures in safety-related systems. The problem of hidden faults inherent in these systems is equally acute, undermining confidence in the fault tolerance of circuit solutions important for functional safety. We suggest that this problem be seen as a growth problem where the system rises to the level of diversification in modes of operation by dividing them into normal and emergency and checkability circuits, but components continue to be stamped at a lower level of replication. Then the solution to the problem is to raise the components to the level of the system by developing their version redundancy. We demonstrate this development for FPGA components with LUT-oriented architecture and offer a method to improve the FPGA-ready project by natural version redundancy of its program code. The method generates a set of program code versions and selects versions that improve the checkability of circuits with respect to constant faults and the trustworthiness of results, respectively, in normal and emergency mode to reduce a set of hidden faults. The method is illustrated by an iterative array multiplier implemented in an FPGA project. Versions are generated, evaluated, and selected using the program developed for this.
In this article, a new idea of fuzzy coloring of m-polar fuzzy graph is presented while establishing the relationship between chromatic number of m-polar fuzzy graph and it's underlying crisp graph. Some propertie...
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In this paper, the embedding of m-polar fuzzy graphs which constructed on the surface of spheres is introduced. The m-polar fuzzy genus graphs with its genus value, strong and weak m-polar fuzzy genus graph are define...
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The algebraic structures have many applications in coding theory, cryptography, and security networks. In this paper, the notion of hybrid subalgebras of BCH-algebras is introduced and related properties are investiga...
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The methods of nonlinear adaptation based on an analytical design of aggregated regulators and modal control are discussed for solving the problem of nonlinear control over a robotic arm operating under the conditions...
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ISBN:
(数字)9781728188409
ISBN:
(纸本)9781728181134
The methods of nonlinear adaptation based on an analytical design of aggregated regulators and modal control are discussed for solving the problem of nonlinear control over a robotic arm operating under the conditions of nonrandom noise. A comparative analysis of control is performed under different types of noise variables. It is shown that both control systems are adaptive and robust, while their transient process quality characteristics differ. The results of numerical modeling support the method of nonlinear adaptation as far as the value of overshoot is concerned in the case of nonrandom noise and evidence in favor of the method of modal control identifying the noise for off-design conditions (random high level noise).
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