The article is focused on the calculation of the survival probability of the defence structures b... more The article is focused on the calculation of the survival probability of the defence structures based on the Monte Carlo method. According to the results, the optimal blast resistance of all defence structures due to the protection and expense requirements is conducted based on the optimization method. This article also reviews properties of the defence structures, characteristics of projectiles and factors influencing on the survival ability of the defensive. The computer simulation program has been developed and can be used for evaluating and optimizing the defence ability of the defence structures in various battle scenarios.
2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2017
In this paper, we proposed a speaker verification system to determine whether an input speech com... more In this paper, we proposed a speaker verification system to determine whether an input speech comes from outside the set of known speaker robustly. The proposed system consists of preprocessing, feature extraction, distortion measure calculation, and verification stages. The proposed speaker verification firstly catches and segments speech in the preprocessing stage. The segmented speech is extracted to MFCC feature, known as the most popular feature in speech processing, and a Gaussian Mixture Model (GMM) is constructed to model the extracted feature vectors. Next, a high dimensional distance between it and GMM, which is model of pre-trained speech of claimed identity, is calculated as a multi-scoring vector. Finally, a support vector machine decides whether the distance is acceptable or not, by other words, the input speech is verified or rejected. Experiment results show that the proposed system can recognize the claimed speaker with an accuracy of 96%, while the error rate is 6....
In this paper, a robust-adaptive-fuzzy-neural-network controller (RAFNNs) bases on dead zone comp... more In this paper, a robust-adaptive-fuzzy-neural-network controller (RAFNNs) bases on dead zone compensator for industrial robot manipulators (RM) is proposed to dead the unknown model and external disturbance. Here, the unknown dynamics of the robot system is deal by using fuzzy neural network to approximate the unknown dynamics. The online training laws and estimation of the dead-zone are determined by Lyapunov stability theory and the approximation theory. In this proposal, the robust sliding-mode-control (SMC) is constructed to optimize parameter vectors, solve the approximation error and higher order terms. Therefore, the stability, robustness, and desired tracking performance of RAFNNs for RM are guaranteed. The simulations and experiments performed on three-link RM are provided in comparison with neural-network (NNs) and proportional-integral-derivative (PID) to demonstrate the robustness and effectiveness of the RAFNNs.
State elimination has been proposed in the literature as a viable technique for transforming fini... more State elimination has been proposed in the literature as a viable technique for transforming finite state automata (or finite state machines) into equivalent regular expressions. In this TTC case, we consider this well-known technique as a model transformation problem, aiming at evaluating the suitability, performance and scalability of dedicated model transformation techniques w.r.t. this problem.
Forest fires are always a problem around the world because of its great harm. Especially in Vietn... more Forest fires are always a problem around the world because of its great harm. Especially in Vietnam, the prevention and detection of forest fires are mainly based on the patrolling forest rangers; the warning board is not automatically controlled. In this article, we will present the design of an automatic controller, which was applied fuzzy logic to control the forest fire - level forecast warning signage. The controller relies on regional meteorological information to control the signage on the spot, and to directly inform the manager about the forest fire forecasting situation via text message. The experienced results of some forest protection units in Thai Nguyen prove that the application of fuzzy logic has met the requirements of the forest protection sector in improving the forest fire forecasting system.
We illustrate how combining retrospective and prospectiveprovenance can yield scientifically mean... more We illustrate how combining retrospective and prospectiveprovenance can yield scientifically meaningful hybrid provenancerepresentations of the computational histories of data produced during a script run. We use scripts from multiple disciplines (astrophysics, climate science, biodiversity data curation, and social network analysis), implemented in Python, R, and MATLAB, to highlight the usefulness of diverse forms of retrospectiveprovenance when coupled with prospectiveprovenance. Users provide prospective provenance, i.e., the conceptual workflows latent in scripts, via simple YesWorkflow annotations, embedded as script comments. Runtime observables can be linked to prospective provenance via relational views and queries. These observables could be found hidden in filenames or folder structures, be recorded in log files, or they can be automatically captured using tools such as noWorkflow or the DataONE RunManagers. The YesWorkflow toolkit, example scripts, and demonstration code...
IOP Conference Series: Materials Science and Engineering, 2019
In this paper, a new compound control scheme is proposed for robot manipulators (RMs) based on ra... more In this paper, a new compound control scheme is proposed for robot manipulators (RMs) based on radial basis function neural network (RBFNNs), sliding mode control (SMC), fuzzy logic control (FLC) and proportional–integral (PI) controller. In this control scheme, the filtered tracking error is the input of the RBFNNs update laws, SMC, FLC and PI controller. The RBFNNs uses three-layer to approximate uncertain nonlinear manipulator dynamics. A robust sliding function is selected as a second controller to guarantee the stability and robustness under various environments. The FLC as the third controller completely removes the chattering signal caused by the sign function in the SMC. By using additional PI controllers, the goal of RMs tuning is to minimize tracking performance and overshoot can be realized. Simulation results highlight performance of the controller to compensate the approximate errors and its simpleness in the adaptive parameter tuning process. To be concluded, the contr...
IOP Conference Series: Materials Science and Engineering, 2019
In this paper, a new compound control scheme is proposed for manipulator based on radial basis fu... more In this paper, a new compound control scheme is proposed for manipulator based on radial basis function neural network (RBFNNs), sliding mode controller (SMC) and proportional–integral (PI) controller. In this control scheme, the filtered tracking error is the input of the RBFNNs update laws, SMC, and PI controller. The RBFNNs uses three-layer to approximate uncertain nonlinear manipulator dynamics. A robust sliding function is selected as a second controller to guarantee the stability and robustness under various environments. By using additional PI controllers, the goal of manipulator tuning is to minimize chattering signal, tracking performance, and overshoot can be realized. Simulation results highlight performance of the controller to compensate the approximate errors and its simpleness in the adaptive parameter tuning process. To be concluded, the controller is suitable for robust adaptive control and can be used as supplementary of traditional neural network (NN) controllers.
... The search returns optimal, or near-optimal, solutions within a fraction of the time required... more ... The search returns optimal, or near-optimal, solutions within a fraction of the time required by optimal methods. ... The paper presents computational results for 145 problems from the literature. Revue / Journal Title. ... Travelling salesman problem. ; Search algorithm. ; Optimal solution. ...
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011
We investigate a framework for the detection of ground moving targets using a Multiple-Input-Mult... more We investigate a framework for the detection of ground moving targets using a Multiple-Input-Multiple-Output (MIMO) radar system. We look at how phase histories collected from a MIMO Synthetic Aperture Radar (SAR) system can be used for target detection in a Ground Moving Target Indication (GMTI) mode while SAR images are being formed. We propose the usage of the recently developed
2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009
We compare several multiple-input multiple-output (MIMO) radar transmission schemes, including co... more We compare several multiple-input multiple-output (MIMO) radar transmission schemes, including code division, time division and Doppler frequency division multiplexing approaches, for ground moving target indication (GMTI). To utilize probing waveforms with low sidelobe levels for range compression, we transmit sequences specifically designed to have low correlation levels. At the receiver side, we apply the iterative adaptive approach (IAA), which uses
2009 International Waveform Diversity and Design Conference, 2009
We consider using multi-input multi-output (MIMO) radar to improve the ground moving target indic... more We consider using multi-input multi-output (MIMO) radar to improve the ground moving target indication (GMTI) performance, especially for slowly moving targets, for airborne surveillance systems. The increased virtual aperture afforded by MIMO radar systems enables many advantages, including enhanced spatial resolution, improved parameter identifiability and better performance for GMTI. To obviate the need of secondary data for space-time adaptive processing
Abstract Formulations of the spatial and material motion problem in nonlinear electroelastostatic... more Abstract Formulations of the spatial and material motion problem in nonlinear electroelastostatics are considered in this work by a virtual work approach. Based on these formulations, a finite element discretization is realized and a numerical example is ...
The article is focused on the calculation of the survival probability of the defence structures b... more The article is focused on the calculation of the survival probability of the defence structures based on the Monte Carlo method. According to the results, the optimal blast resistance of all defence structures due to the protection and expense requirements is conducted based on the optimization method. This article also reviews properties of the defence structures, characteristics of projectiles and factors influencing on the survival ability of the defensive. The computer simulation program has been developed and can be used for evaluating and optimizing the defence ability of the defence structures in various battle scenarios.
2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2017
In this paper, we proposed a speaker verification system to determine whether an input speech com... more In this paper, we proposed a speaker verification system to determine whether an input speech comes from outside the set of known speaker robustly. The proposed system consists of preprocessing, feature extraction, distortion measure calculation, and verification stages. The proposed speaker verification firstly catches and segments speech in the preprocessing stage. The segmented speech is extracted to MFCC feature, known as the most popular feature in speech processing, and a Gaussian Mixture Model (GMM) is constructed to model the extracted feature vectors. Next, a high dimensional distance between it and GMM, which is model of pre-trained speech of claimed identity, is calculated as a multi-scoring vector. Finally, a support vector machine decides whether the distance is acceptable or not, by other words, the input speech is verified or rejected. Experiment results show that the proposed system can recognize the claimed speaker with an accuracy of 96%, while the error rate is 6....
In this paper, a robust-adaptive-fuzzy-neural-network controller (RAFNNs) bases on dead zone comp... more In this paper, a robust-adaptive-fuzzy-neural-network controller (RAFNNs) bases on dead zone compensator for industrial robot manipulators (RM) is proposed to dead the unknown model and external disturbance. Here, the unknown dynamics of the robot system is deal by using fuzzy neural network to approximate the unknown dynamics. The online training laws and estimation of the dead-zone are determined by Lyapunov stability theory and the approximation theory. In this proposal, the robust sliding-mode-control (SMC) is constructed to optimize parameter vectors, solve the approximation error and higher order terms. Therefore, the stability, robustness, and desired tracking performance of RAFNNs for RM are guaranteed. The simulations and experiments performed on three-link RM are provided in comparison with neural-network (NNs) and proportional-integral-derivative (PID) to demonstrate the robustness and effectiveness of the RAFNNs.
State elimination has been proposed in the literature as a viable technique for transforming fini... more State elimination has been proposed in the literature as a viable technique for transforming finite state automata (or finite state machines) into equivalent regular expressions. In this TTC case, we consider this well-known technique as a model transformation problem, aiming at evaluating the suitability, performance and scalability of dedicated model transformation techniques w.r.t. this problem.
Forest fires are always a problem around the world because of its great harm. Especially in Vietn... more Forest fires are always a problem around the world because of its great harm. Especially in Vietnam, the prevention and detection of forest fires are mainly based on the patrolling forest rangers; the warning board is not automatically controlled. In this article, we will present the design of an automatic controller, which was applied fuzzy logic to control the forest fire - level forecast warning signage. The controller relies on regional meteorological information to control the signage on the spot, and to directly inform the manager about the forest fire forecasting situation via text message. The experienced results of some forest protection units in Thai Nguyen prove that the application of fuzzy logic has met the requirements of the forest protection sector in improving the forest fire forecasting system.
We illustrate how combining retrospective and prospectiveprovenance can yield scientifically mean... more We illustrate how combining retrospective and prospectiveprovenance can yield scientifically meaningful hybrid provenancerepresentations of the computational histories of data produced during a script run. We use scripts from multiple disciplines (astrophysics, climate science, biodiversity data curation, and social network analysis), implemented in Python, R, and MATLAB, to highlight the usefulness of diverse forms of retrospectiveprovenance when coupled with prospectiveprovenance. Users provide prospective provenance, i.e., the conceptual workflows latent in scripts, via simple YesWorkflow annotations, embedded as script comments. Runtime observables can be linked to prospective provenance via relational views and queries. These observables could be found hidden in filenames or folder structures, be recorded in log files, or they can be automatically captured using tools such as noWorkflow or the DataONE RunManagers. The YesWorkflow toolkit, example scripts, and demonstration code...
IOP Conference Series: Materials Science and Engineering, 2019
In this paper, a new compound control scheme is proposed for robot manipulators (RMs) based on ra... more In this paper, a new compound control scheme is proposed for robot manipulators (RMs) based on radial basis function neural network (RBFNNs), sliding mode control (SMC), fuzzy logic control (FLC) and proportional–integral (PI) controller. In this control scheme, the filtered tracking error is the input of the RBFNNs update laws, SMC, FLC and PI controller. The RBFNNs uses three-layer to approximate uncertain nonlinear manipulator dynamics. A robust sliding function is selected as a second controller to guarantee the stability and robustness under various environments. The FLC as the third controller completely removes the chattering signal caused by the sign function in the SMC. By using additional PI controllers, the goal of RMs tuning is to minimize tracking performance and overshoot can be realized. Simulation results highlight performance of the controller to compensate the approximate errors and its simpleness in the adaptive parameter tuning process. To be concluded, the contr...
IOP Conference Series: Materials Science and Engineering, 2019
In this paper, a new compound control scheme is proposed for manipulator based on radial basis fu... more In this paper, a new compound control scheme is proposed for manipulator based on radial basis function neural network (RBFNNs), sliding mode controller (SMC) and proportional–integral (PI) controller. In this control scheme, the filtered tracking error is the input of the RBFNNs update laws, SMC, and PI controller. The RBFNNs uses three-layer to approximate uncertain nonlinear manipulator dynamics. A robust sliding function is selected as a second controller to guarantee the stability and robustness under various environments. By using additional PI controllers, the goal of manipulator tuning is to minimize chattering signal, tracking performance, and overshoot can be realized. Simulation results highlight performance of the controller to compensate the approximate errors and its simpleness in the adaptive parameter tuning process. To be concluded, the controller is suitable for robust adaptive control and can be used as supplementary of traditional neural network (NN) controllers.
... The search returns optimal, or near-optimal, solutions within a fraction of the time required... more ... The search returns optimal, or near-optimal, solutions within a fraction of the time required by optimal methods. ... The paper presents computational results for 145 problems from the literature. Revue / Journal Title. ... Travelling salesman problem. ; Search algorithm. ; Optimal solution. ...
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011
We investigate a framework for the detection of ground moving targets using a Multiple-Input-Mult... more We investigate a framework for the detection of ground moving targets using a Multiple-Input-Multiple-Output (MIMO) radar system. We look at how phase histories collected from a MIMO Synthetic Aperture Radar (SAR) system can be used for target detection in a Ground Moving Target Indication (GMTI) mode while SAR images are being formed. We propose the usage of the recently developed
2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009
We compare several multiple-input multiple-output (MIMO) radar transmission schemes, including co... more We compare several multiple-input multiple-output (MIMO) radar transmission schemes, including code division, time division and Doppler frequency division multiplexing approaches, for ground moving target indication (GMTI). To utilize probing waveforms with low sidelobe levels for range compression, we transmit sequences specifically designed to have low correlation levels. At the receiver side, we apply the iterative adaptive approach (IAA), which uses
2009 International Waveform Diversity and Design Conference, 2009
We consider using multi-input multi-output (MIMO) radar to improve the ground moving target indic... more We consider using multi-input multi-output (MIMO) radar to improve the ground moving target indication (GMTI) performance, especially for slowly moving targets, for airborne surveillance systems. The increased virtual aperture afforded by MIMO radar systems enables many advantages, including enhanced spatial resolution, improved parameter identifiability and better performance for GMTI. To obviate the need of secondary data for space-time adaptive processing
Abstract Formulations of the spatial and material motion problem in nonlinear electroelastostatic... more Abstract Formulations of the spatial and material motion problem in nonlinear electroelastostatics are considered in this work by a virtual work approach. Based on these formulations, a finite element discretization is realized and a numerical example is ...
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