Artificial music composition is one of the ever rising problems of computer science. Genetic Algorithm has been one of the most useful means in our hands to solve optimization problems. By use of precise assumptions a...
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Artificial music composition is one of the ever rising problems of computer science. Genetic Algorithm has been one of the most useful means in our hands to solve optimization problems. By use of precise assumptions and adequate fitness function it is possible to change the music composing into an optimization problem. This paper proposes a new genetic algorithm for composing music. Considering entropy of the notes distribution as a factor of fitness function and developing mutation and crossover functions based on harmonic rules and trying to keep the melodies intact during these processes would result in a musical piece pleasant to human ears and interesting for human mind. This algorithm does not have the constraints of the previous algorithms. Restraining mutation and crossover functions with a goal of producing melodies based on acceptable melodies composed by humans, this algorithm is not bound to any genre, instrument or melody. The experimental results of this approach show that it is near to the human composing and the results produced from it are more acceptable than the ones produced by its predecessors.
This paper elaborates the present stage and predictable direction of future development of Sine Wave Calculator (SWC), a simple method for signal analysis in time domain that provides accuracy comparable to the best c...
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This paper elaborates the present stage and predictable direction of future development of Sine Wave Calculator (SWC), a simple method for signal analysis in time domain that provides accuracy comparable to the best classical methods (relative errors about few times 10-6). The main SWC advantages are extreme simplicity, possibility of selection of samples and straightforward calculations, which makes it preferable solution for quick implementation. The main shortage is still unknown mathematical analysis of errors, which are probably unequal for different signal parameters.
Virtual 3D models play important role in a today factory layout design, physical modeling, control synthesis, performance analysis, dynamic simulation and visualization of real systems. In this paper, we go one step f...
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Virtual 3D models play important role in a today factory layout design, physical modeling, control synthesis, performance analysis, dynamic simulation and visualization of real systems. In this paper, we go one step further and besides visualization, we monitor all measurable states in the real system and use active 3D models in-the-loop for real-time supervisory control. Such concept enables an event detection not possible with conventional sensors, including the ability to predict possible outcomes in the system operation. A virtual environment simulator and the way it can be connected to other simulators (e.g., Matlab/Simulink), is presented. The examples of virtual sensors, and collision free-based trajectory planning for robotic manipulators are demonstrated
In a large number of applications fuzzy controllers have replaced existing linear controllers and brought new quality of control. The design of fuzzy controllers has a heuristic character and therefore, the setting of...
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In a large number of applications fuzzy controllers have replaced existing linear controllers and brought new quality of control. The design of fuzzy controllers has a heuristic character and therefore, the setting of fuzzy controller parameters may become a tedious, time consuming job. The paper presents a method for initial setting of fuzzy controllers based on the use of state space trajectories associated with controller inputs. The described state space-based design approach does not depend on a type of emulated controller, so both linear and nonlinear controllers, including a human operator, can be transformed into an adequate fuzzy control function. The initial setting algorithm has been successfully tested by simulations in Matlab.
Multi- Spectral Fusion focused on the task of image enhancement by processing raw data collected at various electromagnetic bands via passive sensors. Passive spectral sensors collect information about the scene based...
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A high-order multiple model approach is proposed for linear equalization and detection problem in ISI wireless channels. This paper is based on the high-order interacting multiple model (HIMM) algorithm and gives a Ba...
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A high-order multiple model approach is proposed for linear equalization and detection problem in ISI wireless channels. This paper is based on the high-order interacting multiple model (HIMM) algorithm and gives a Bayesian statistical description of the algorithm itself and its application to joint sequence estimation.
Channel assignment problem in cellular communication is a difficult combinatorial optimization problem. There is no exact polynomial-time solution for it and searching the whole solution space is infeasible for large ...
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Channel assignment problem in cellular communication is a difficult combinatorial optimization problem. There is no exact polynomial-time solution for it and searching the whole solution space is infeasible for large problems. By defining the problem's cost function as the energy function of a chaotic Hopfield neural network, we devise a framework for finding competitive suboptimal or even optimal solutions for combinatorial optimization problem in general, and channel assignment problem in particular. In our architecture, we inject chaotic noise in order to help the network escape from local minima of the energy function while we enforce problem constraints by external inputs of neurons. Experimental results show the superiority of our method to other methods.
Automatic inspection in today's manufacturing is critical to be competitive. In this paper, experimental results from the application of digital filters for defects detection in paper pulp production are shown. Th...
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Automatic inspection in today's manufacturing is critical to be competitive. In this paper, experimental results from the application of digital filters for defects detection in paper pulp production are shown. These filters have been automatically generated by means of a convolutional neural architecture, that uses a modified back-propagation algorithm. The main subjects discussed are: convolutional top-down spiral architecture, a tool used to automatically generate digital filters, a simple but effective modification to the back-propagation algorithm for this application, and experimental results
Underwater vehicles are highly nonlinear and complex systems, that makes designing autopilots extremely difficult. This paper presents autotuning as a method for tuning parameters of a micro-ROV autopilot. The main be...
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Underwater vehicles are highly nonlinear and complex systems, that makes designing autopilots extremely difficult. This paper presents autotuning as a method for tuning parameters of a micro-ROV autopilot. The main benefit of this procedure is that the model of the process does not have to be known. Autotuning is often used for industrial processes but not on marine vessels. This procedure, which is performed in closed-loop, is completely automated and enables the operator to retune an autopilot whenever ROV performance is degraded (due to different operating points, tether influence, currents, etc.). In this article we use already known different autotuning recommendations (primarily designed for type 0 processes) with some modifications which we recommend for micro-ROVs. We also give results of using different types of PID controllers, whose parameters are being tuned. A real life demonstration on a VideoRay Pro II micro-ROV is provided
Although computer architectures incorporate fast processing hardware resources, high performance real-time implementation of a complex control algorithm requires an efficient design and software coding of the algorith...
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Although computer architectures incorporate fast processing hardware resources, high performance real-time implementation of a complex control algorithm requires an efficient design and software coding of the algorithm so as to exploit special features of the hardware and avoid associated architecture shortcomings. This paper presents an investigation into the analysis and design mechanisms that will lead to reduction in the execution time in implementing real-time control algorithms. The proposed mechanisms are exemplified by means of one algorithm, which demonstrates their applicability to real-time applications. An active vibration control (AVC) algorithm for a flexible beam system simulated using the finite difference (FD) method is considered to demonstrate the effectiveness of the proposed methods. A comparative performance evaluation of the proposed design mechanisms is presented and discussed through a set of experiments.
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