# Anton DucaPolytechnic University of Bucharest | UPB · Department of Electrotechnics

Anton Duca

PhD Associate Professor

## About

44

Publications

4,114

Reads

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92

Citations

Citations since 2016

## Publications

Publications (44)

The present paper proposes and studies the efficiency of using a RSM enhanced ACOR algorithm for the optimization of electromagnetic devices. Different RSM methods, such as Box-Behnken, CCD and Doelhert, are applied to find most suitable parameters (optimal set) for the ACOR in order to solve the corresponding electromagnetic optimization problems....

The paper proposes and studies the efficiency of the ant colony optimization (ACO) algorithms for solving an inverse problem in non-destructive electromagnetic testing (NDET). The inverse problem, which consists in finding the shape and parameters of cracks in conducting plates starting from the signal of an eddy current testing (ECT) probe, is for...

Purpose
The purpose of this paper is to propose a physics-aware algorithm to obtain radio frequency (RF)-reduced models of micro-electromechanical systems (MEMS) switches and show how, together with multiphysics macromodels, they can be realized as circuits that include both lumped and distributed parameters.
Design/methodology/approach
The macrom...

Purpose
This paper proposes an algorithm for the extraction of reduced order models of MEMS switches, based on using a physics aware simplification technique.
Design/methodology/approach
The reduced model is built progressively by increasing the complexity of the physical model. The approach starts with static analyses and continues with dynamic o...

Two parallelization techniques, GPGPU and Pthreads for multiprocessor architectures, are used to implement a SPSO algorithm in order to solve electromagnetic optimization problems. Several configurations for the GPGPU implementation are tested and a new full parallel minimum branching implementation is proposed. The best GPGPU approaches are then c...

This contribution proposes a method to extract parametric reduced models that describe the coupled structural-electric behavior of RF MEMS switches. The equivalent capacitance coefficients and the effective elastic coefficients are extracted from coupled structural-electrostatic analysis. Parametric models are built based on the sensitivities of th...

This paper studies the efficiency of the General Purpose Computation on Graphics Processing Units (GPGPU) technique for the implementation of a parallel Particle Swarm Optimization (PSO) algorithm applied for the optimization of electromagnetic field devices. Several sequential PSO algorithms are compared in order to find the optimal configuration...

The paper presents a novel approach for three-dimensional diagnosis of partially conductive cracks from two-dimensional eddy current testing signals by means of the tabu search stochastic method. A new testing probe driving uniformly distributed eddy currents is employed for the inspection. Three spatial components of the perturbation electromagnet...

Inspired from social and cognitive behaviors of animals living as swarms; particle swarm optimization
(PSO) provides a simple but very powerful tool for researchers who are dealing with collective intelligence.
The algorithm depends on modeling the very basic random behavior (i.e. exploration capability) of individuals
in addition to their tendency...

Enhancement in three-dimensional non-destructive evaluation of real cracks from two-dimensional simulated eddy current testing signals is reported in the paper. A new uniform eddy current testing probe is employed for the inspection. All three spatial components of the perturbation electromagnetic field are acquired during two-dimensional scan of t...

This paper studies the efficiency of some advanced Particle Swarm Optimization (PSO) algorithms, such as Standard PSO and Quantum-behaved PSO, to solve a nondestructive eddy current (NDT-ECT) inverse problem. The inverse problem is formulated as an optimization problem, aiming to minimize the distance between the true 2D ECT signal, produced by the...

Scalarization approaches are the simplest methods for solving the multiobjective problems. The idea of scalarization is based on decomposition of multiobjective problems into single objective sub-problems. Every one of these sub-problems can be solved in a parallel manner since they are independent with each other. Hence, as a scalarization approac...

The behavior of Particle Swarm Optimization (PSO), a population based optimization algorithm, depends on the movements of the particles and the attractions among them. This behavior was extracted from the observations of the swarms in nature. Every swarm desires to remain powerful in order to survive in nature and to protect its descendants. Theref...

The paper presents an advanced procedure for tree-dimensional diagnosis of real cracks from two-dimensional simulated eddy current testing response signals by means of the tabu search stochastic method. A new testing probe driving uniformly distributed eddy currents is employed for the inspection. All three spatial components of the perturbation el...

This paper presents a novel approach for diagnosis of real cracks from two-dimensional eddy current testing signals by means of a stochastic method, such as tabu search. A new testing probe driving uniformly distributed eddy currents is employed for the inspection. Three spatial components of the perturbation field due to partially conductive crack...

Recent innovative solutions in eddy current non-destructive evaluation of conductive materials are reported in the paper. Two main areas influencing reliability and preciseness of real cracks diagnosis are discussed. Advances in sensor technology are concerned at first. Innovative sensor design allowing sensing all the three spatial components of t...

This paper presents the efficiency of some algorithms based on Particle Swarm Optimization (PSO) technique, such as Intelligent PSO and Discrete PSO, to solve a non-destructive eddy current (NDT-ECT) inverse problem. The inverse problem is formulated as an optimization problem, aiming to minimize the distance between the true 2D ECT signal, produce...

This paper presents some strategies to enhance the efficiency of Particle Swarm Optimization (PSO) algorithms applied for the three-dimensional reconstruction of cracks from eddy current testing (ECT) signals. A fast forward FEM-BEM solver using database was adopted to simulate the ECT signals due to cracks with parallelepiped shape for various len...

This paper describes the implementation of the program interpreter and communication server for a wafer handling robot controller. This is a complex robot controller software system with a very flexible operator interface. The program interpreter executes the robot programs which are transmitted by the user via the communication server. The work is...

The paper presents a novel approach for three-dimensional diagnosis of partially conductive cracks from two-dimensional eddy current testing signals by means of the tabu search stochastic method. A new testing probe driving uniformly distributed eddy currents is employed for the inspection. Three spatial components of the perturbation electromagnet...

This paper presents a novel approach for diagnosis of real cracks from two-dimensional eddy current testing signals by means of a stochastic method, such as tabu search. A new testing probe driving uniformly distributed eddy currents is employed for the inspection. Three spatial components of the perturbation field due to partially conductive crack...

This paper proposes T100 * as a new Content Management System (CMS) dedicated to the PHP web applications developers. T100 can be used as an end product CMS but its main goal is to provide an application framework and tools in order to support and speed up the web applications development process. The proposed CMS has a router – dispather based str...

The paper studies an artificial neural network used for cracks classification in a nondestructive electromagnetic testing inverse problem. The neural system is a feed forward network trained using a variation of learning vector quantization algorithm. In order to prove its performance, the neural classifier is tested on a two dimensional scanning p...

The paper studies parameter tuning in a distributed optimization system for inverse Nondestructive Electromagnetic Testing (NDET) problems. As optimization algorithm a hybrid stochastic–deterministic method aiming at the reduction of the solving time of the inverse problem in NDET is used. Implemented as a distributed system of software agents, thi...

The paper presents a new method for reconstruction of cracks in Nondestructive Electromagnetic Testing (NDET) technology. This is a hybrid method using both stochastic and deterministic optimization techniques. The proposed method combines the advantages of these optimization techniques – global search and reduced number of the objective function e...

The paper presents a new method for reconstruction of cracks in Nondestructive Electromagnetic Testing (NDET) technology. This is a hybrid method using both stochastic and deterministic optimization techniques. The proposed method combines the advantages of these optimization techniques – global search and reduced number of the objective function e...

The paper presents a new method for reconstruction of flaws in Eddy-Current Nondestructive Testing technology. The proposed method is based on a team of mobile software evolutionary agents (EA). The team is distributed in a computer network and it is supervised by a meta genetic agent, aiming to improve the behaviour of EAs population. Some details...

A Hybrid Transform-Neural Network (HTNN) system is proposed, as an alternative to one Artificial Neural Network (ANN) to solve the inverse problem in Nondestructive Electromagnetic Testing. The HTNN system consists in a transform block, aiming to reduce the dimension of the input data set, followed by an ANN. In the paper different linear transform...

In this paper a Multi-Transform-Artificial Neural Network (MTANN) system is proposed and used to solve an inverse Electromagnetic Nondestructive Evaluation problem with two dimensional scanning. The MTANN system consists of a Data Selector, several parallel Transform-ANN (T-ANN) blocks, and one Data Fusion block. The paper presents techniques for e...