This paper proposed an automatic method for the classification of meningioma subtypes based on the unsupervised color segmentation method and feature selection scheme. Firstly, a color segmentation method is utilized ...
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The sequence alignment is one of the most important tasks in Bioinformatics, playing an important role in the sequences analysis. There are many strategies to perform sequence alignment, since those use deterministic ...
The sequence alignment is one of the most important tasks in Bioinformatics, playing an important role in the sequences analysis. There are many strategies to perform sequence alignment, since those use deterministic algorithms, as dynamic programming, until those ones, which use heuristic algorithms, as Progressive, Ant Colony (ACO), Genetic Algorithms (GA), Simulated Annealing (SA), among others. In this work, we have implemented the objective function COFFEE in the MSA-GA tool, in substitution of Weighted Sum-of-Pairs (WSP), to improve the final results. In the tests, we were able to verify the approach using COFFEE function achieved better results in 81% of the lower similarity alignments when compared with WSP approach. Moreover, even in the tests with more similar sets, the approach using COFFEE was better in 43% of the times.
Advantages in the application of intelligent approaches, such as the conjunction of artificial vision and Unmanned Aerial Vehicles (UAV), have been recently emerging. This paper presents a system capable of detecting ...
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ISBN:
(纸本)9781479916344
Advantages in the application of intelligent approaches, such as the conjunction of artificial vision and Unmanned Aerial Vehicles (UAV), have been recently emerging. This paper presents a system capable of detecting ground vehicles through aerial images taken by a UAV in real time. In addition, the system offers the possibility to autonomously guide the UAV to keep track of a vehicle that has been previously detected.
This paper considers using reset control to improve transient performance and overcome some fundamental limitations of linear systems. First, an auxiliary system is presented, then, based on which, a new reset control...
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This paper considers using reset control to improve transient performance and overcome some fundamental limitations of linear systems. First, an auxiliary system is presented, then, based on which, a new reset control model is proposed, such that the non-overshoot performance specification can be met for any minimum phase relative degree one plants, the results imply some limitations of linear systems are overcome and clearly illustrate the advantages of reset control. A numerical example is given to show the effectiveness.
We study a networked state estimation problem for a linear system with multiple sensors, each of which transmits its measurements to a central estimator via a lossy communication network for computing the minimum mean...
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We study a networked state estimation problem for a linear system with multiple sensors, each of which transmits its measurements to a central estimator via a lossy communication network for computing the minimum mean-square-error (MMSE) state estimate. Under a general Markov packet loss process, we establish necessary and sufficient conditions for the stability of the estimator for any diagonalizable system in the sense that the mean of the state estimation error covariance matrix is uniformly bounded. For the second-order systems under an i.i.d. packet loss model, the stability condition is expressed as a simple inequality in terms of open-loop poles and the packet loss rate.
This paper considers distributed estimation over heterogeneous sensor networks. We propose a distributed estimation strategy based on PageRank algorithm, where the link weight depends on the edge estimation covariance...
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This paper addresses the problem of infinite time performance of model predictive controllers applied to constrained nonlinear systems. The total performance is compared with a finite horizon optimal cost to reveal pe...
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Teaching mechatronics is a great challenge since the subject is a multidisciplinary area of electrical, mechanical and IT knowledge. Students must deepen their knowledge in these slightly related fields of engineering...
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Teaching mechatronics is a great challenge since the subject is a multidisciplinary area of electrical, mechanical and IT knowledge. Students must deepen their knowledge in these slightly related fields of engineering. Tasks and solving problems in mechatronics require cognitive and operational knowledge and practical experience about systems design and analysis. Since mechatronics engineering is a fast-developing and practice-oriented field placing more emphasis practical and project-based education at universities is strongly encouraged by the industry. The paper presents an educational framework designed for students with a specialization in vehicle mechatronics. The aim of the system is to provide the emulation of a real vehicle module, which must be operated by appropriately designed controller unit.
We consider an iterative learning control (ILC) approach to machining with industrial robots. The robot and the milling process are modeled using system identification methods with a data-driven approach. Two differen...
We consider an iterative learning control (ILC) approach to machining with industrial robots. The robot and the milling process are modeled using system identification methods with a data-driven approach. Two different model-based ILC algorithms are proposed and subsequently experimentally verified in a milling scenario. The difference between the two approaches is the required sensors for acquiring relevant input data for the algorithms. The results from the experiments indicate that the proposed methods have the potential of significantly decreasing the position errors in robotic machining, up to 85% in the considered milling scenario.
In this work, inspired from this biological motivation that in living cells, the execution time of different biological processes is difficult to know precisely and very sensitive to environmental factors that might b...
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