This work aimed to assess the antagonism effects of four different Trichoderma asperellum isolates against Phytophthora megakarya and their ability to enhance cacao growth and biochemical defence. Results showed that ...
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We have developed a method of representing robotic soccer game. This representation is used for controlling robots playing soccer. Our approach to robot soccer is to view it as a local interaction game, which reduces ...
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We have developed a method of representing robotic soccer game. This representation is used for controlling robots playing soccer. Our approach to robot soccer is to view it as a local interaction game, which reduces the need for centralized control. In this paper we describe both hardware and software implementation that is used by robots. Virtual grid is described. The virtual grid is much more efficient than representation of game using natural coordinates of robots. This representation can be efficiently used for a description of game strategies, which can be directly used for a faster control of robots. We also show how a can be learned and illustrate our approach using the latent semantic analysis. Strategy learning is important both for developing successful players and also for discovering strategies of the opponent team.
This paper presents an optimization technique to develop minimum energy consumption trajectories for redundant/hyper-redundant manipulators with pre-defined kinematic and dynamic constraints. The actuator torques is c...
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This paper presents an optimization technique to develop minimum energy consumption trajectories for redundant/hyper-redundant manipulators with pre-defined kinematic and dynamic constraints. The actuator torques is considered for the formulation of the cost function for the simulation study. For the experimental work, the measured current flow of the each actuator is utilized. Calculation of the cost function is carried out by using an inverse dynamic analysis. The optimization technique presents two novel methods. Firstly, a simple but effective constraint handling method is presented. The system's kinematic and dynamics constraints are handled in a sequential manner within the cost function to avoid running the inverse dynamics when the constraints are not satisfied. Thus, the complexity and computational effort of the optimization algorithm is reduced. Secondly, a novel virtual link concept is introduced to replace all the redundant links to eliminate physical impossible configurations before running the inverse dynamic model.
Virtual endoscopes give internal views of the human body without penetrating it, based on a set of parallel cross-sections produced with any computer tomography method. This paper presents some ideas concerning the de...
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This paper describes the design of the solution of the 3rd generation of the robot-soccer strategy system for the VŠB-TU Ostrava robot-soccer team. In this generation, we tried to completely redesign our system, imple...
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ISBN:
(纸本)9781424473359
This paper describes the design of the solution of the 3rd generation of the robot-soccer strategy system for the VŠB-TU Ostrava robot-soccer team. In this generation, we tried to completely redesign our system, implement and evaluate new, popular or advanced technologies. We divided the strategy system into two parts: the higher strategy, which makes decisions about the robots' goals, and the lower strategy, which controls the motion of the robot. The motion control is based on computing and following of trajectory. Higher strategies are built on evaluation, recognition, and performance of user defined scenarios. An additional part of the system, - the manual computer-assisted control of robots - is also described.
This paper presents new concepts in the design and implementation of a virtual endoscope. Starting from standard magnetic resonance images, and applying a two-step image processing, inner views of the human body can b...
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Two efficient versions of a Markov clustering algorithm are proposed, suitable for fast and accurate grouping of protein sequences. First, the essence of the matrix splitting approach consists in optimal reordering of...
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This paper presents a new non-invasive method to estimate the danger to which are exposed the patients suffering from Wolff-Parkinson-White (WPW) syndrome. Our aim is to provide reliable risk estimation, and to formul...
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This paper presents a new non-invasive method to estimate the danger to which are exposed the patients suffering from Wolff-Parkinson-White (WPW) syndrome. Our aim is to provide reliable risk estimation, and to formulate its limitations. The first task is the localization of the accessory pathway (AcP), which we solved using the stepwise Arruda algorithm. After getting the AcP location it was possible to determine the pre-excitation time and rate. A total of 42 patients were studied, and an 88% localization performance was reached. This was considered quite good result compared with the highest published figures (90%) by Boersma in 2002. The highest pre-excitation time was 92±5ms at a heart rate (HR=70±10). Although we could not measure the repolarization time of the AcP, the obtained results can help to construct non-invasive patient risk estimation.
This paper presents a new way to solve the inverse problem of electrocardiography in terms of heart model parameters. The developed event estimation and recognition method is based on an optimization system of heart m...
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This paper presents a new way to solve the inverse problem of electrocardiography in terms of heart model parameters. The developed event estimation and recognition method is based on an optimization system of heart model parameters. An ANN-based preliminary ECG analyser system has been created to reduce the searching space of the optimization algorithm. The optimal model parameters were determined by minimizing the objective functions, as relations of the observed and model-generated body surface ECGs. The final evaluation results, validated by physicians were about 86% correct. Starting from the fact that input ECGs contained various malfunction cases, such as Wolff-Parkinson-White (WPW) syndrome, atrial and ventricular fibrillation, these results suggest that this approach provides a robust inverse solution, circumventing most of the difficulties of the ECG inverse problem.
This paper analyzes some basic issues involving the application of discontinuous control techniques for controlling fractional order systems (FOS). With reference to a simple class of SISO perturbed processes, we comp...
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This paper analyzes some basic issues involving the application of discontinuous control techniques for controlling fractional order systems (FOS). With reference to a simple class of SISO perturbed processes, we compare the performance of two distinct approaches, namely the “fractional sliding manifold” (FSM) approach, and the “fractional dynamic input extension” (FDIE) approach. The latter, which is the main new contribution of this paper, is shown to provide for the finite time convergence property of the systems' state. Remarkably, this approach also attenuates the chattering phenomenon by leading to a continuous, although obviously non-smooth, control action. The performance of the two methodologies under investigation are determined by means of Lyapunov approach. Additionally, we derive two new results involving the application of second-order sliding mode control techniques in the context of SISO FOS, and the application of the unit-vector methodology for controlling uncertain multivariable FOS. The presented analysis is supported by simulation results.
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