The Cellular Neural Networks (CNN) model consist of many parallel analog processors computing in ... more The Cellular Neural Networks (CNN) model consist of many parallel analog processors computing in real time. CNN is nowadays a paradigm of cellular analog programmable multidimensional processor array with distributed local logic and memory. One desirable feature is that these processors are arranged in a two dimensional grid and have only local connections. This structure can be easily translated into a VLSI implementation, where the connections between the processors are determined by a cloning template. This template describes the strength of nearest-neighbour interconnections in the network. The focus of this paper is to present one new methodology to solve Shape from Shading problem using CNN. Some practical results are presented and briefly discussed, demonstrating the successful operation of the proposed algorithm.
Page 1. SIMULATION AND ANALYSIS OF DQ FRAME AND P+RESONANT CONTROLS FOR VOLTAGE SOURCE INVERTER T... more Page 1. SIMULATION AND ANALYSIS OF DQ FRAME AND P+RESONANT CONTROLS FOR VOLTAGE SOURCE INVERTER TO DISTRIBUTED GENERATION Renata Carnieletto1, Diego B. Ramos2, Marcelo G. Simões1, Felix ...
Smart grid (SG) technology transforms the traditional power grid from a single layer physical sys... more Smart grid (SG) technology transforms the traditional power grid from a single layer physical system to a cyberphysical network that includes a second layer of information. Collecting, transferring, and analyzing the huge amount of data that can be captured from different parameters in the network, together with the uncertainty that is caused by the distributed power generators, challenge the standard methods for security and monitoring in future SGs. Other important issues are the cost and power efficiency of data collection and analysis, which are highlighted in emergency situations such as blackouts. This paper presents an efficient dynamic solution for online SG topology identification and monitoring by combining concepts from compressive sensing and graph theory. In particular, the SG is modeled as a huge interconnected graph, and then using a DC power-flow model under the probabilistic optimal power flow, topology identification is mathematically reformulated as a sparse recovery problem. This problem and challenges therein are efficiently solved using modified sparse recovery algorithms. Network models are generated using the MATPOWER toolbox. Simulation results show that the proposed method represents a promising alternative for real time monitoring in SGs.
2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013
With the fast development of information technology and increasingly prominent environmental prob... more With the fast development of information technology and increasingly prominent environmental problem, building comfort and energy management become the major tasks for an intelligent residential building system. According to statistical studies, people spend 80% of their lives in buildings. Hence it is not surprising that they constantly seek to improve comfort in their living spaces. This paper presents an intelligent control system based on artificial immune system architecture to maintain the thermal comfort while reducing energy consumption. Specifically, a residential building is regarded as a human body and a comfortable thermal environment means the healthy state of body. Whenever outside factors disturb this state, which is analogous to the intrusion of pathogens, the immune system will work automatically to eliminate them and therefore to keep the proper state of the body. The experimental results show the advantages of our system comparing with two widely used baseline approaches: two-position control and PI control.
2005 12th International Symposium on Electrets, 2005
Adsorbed layers of poly(o-ethoxyaniline) (POEA) produced with the layer-by-layer technique have b... more Adsorbed layers of poly(o-ethoxyaniline) (POEA) produced with the layer-by-layer technique have been studied with atomic force spectroscopy (AFS). The films were prepared under different conditions (pH and solution concentration), and measurements were carried out in air and in a liquid cell. Both the doping level and fabrication conditions affect the POEA film morphology and the interactions of the atomic force microscopy (AFM) tip with the polymer molecules. For example, a mapping of the forces indicates the presence of conducting islands surrounded by a less conductive matrix in POEA and PANI
The implementation of Smart Grids will fundamentally change the approach of assessing and mitigat... more The implementation of Smart Grids will fundamentally change the approach of assessing and mitigating system voltage deficiencies on an electric distribution system. Many distribution companies have historically indentified feeder level voltage deficiencies utilizing a reactive approach that relies upon customer complaints. The monitoring capabilities of a Smart Grid will allow utilities to proactively identify a large number of events that
International Journal of Rock Mechanics and Mining Sciences, 2011
Abstract—The main objective of this paper was to develop a TBM utilization predictor model by usi... more Abstract—The main objective of this paper was to develop a TBM utilization predictor model by using fuzzy logic. Rule-based (Mamdani model) and parametric-based (Sugeno model) fuzzy logic were adapted to model subjective and unquantified TBM field data sets. A total of ...
Ieee Transactions on Industry Applications, May 1, 1995
Neural networks are recently showing good promise for application in power electronics and motion... more Neural networks are recently showing good promise for application in power electronics and motion control systems. So far, they have been applied for a few cases, mainly in the control of converters and drives, but their application in estimation is practically new. The purpose of this paper is to demonstrate that such a technology can be applied for estimation of feedback signals in an induction motor drive with some distinct advantages when compared to DSP based implementation. A feedforward neural network receives the machine terminal signals at the input and calculates flux, torque, and unit vectors (cose, and sine,) at the output which are then used in the control of a direct vector-controlled drive system. The three-layer network has been trained extensively by Neural Works Professional IyPlus program to emulate the DSP-based computational characteristics. The performance of the estimator is good and is comparable to that of DSP-based estimation. The system has been operated in the wide torque and speed regions independently with a DSPbased estimator and a neural network-based estimator, and are shown to have comparable performance. The neural network estimator has the advantages of faster execution speed, harmonic ripple immunity, and fault tolerance characteristics compared to DSP-based estimator.
2009 IEEE Electrical Power & Energy Conference (EPEC), 2009
This paper presents an optimum control of an induction generator based wind energy system where t... more This paper presents an optimum control of an induction generator based wind energy system where the torque control is optimized for maximum peak power tracking. The induction generator is connected to the grid with a double pwm converter. This digest shows a brief explanation of the optimization technique control along with simulation results obtained for squirrel cage type induction generators. The same approach is under development for doubly fed Induction generators, used in high power applications. The final paper will include the simulation studies and experimental verification of both controllers, with an evaluation of performance and robustness for each system.
IEEE 36th Conference on Power Electronics Specialists, 2005., 2005
This paper presents a 400 Hz microgrid, suitable for integration of alternative energy sources in... more This paper presents a 400 Hz microgrid, suitable for integration of alternative energy sources in a distributed generation system. The utilization of a higher frequency can bring some advantages, such as weight and size reduction of passive components. To compensate for voltage and current harmonics, present in the microgrid bus, this paper proposes a modified p-q theory, which is suitable
IEEE 36th Conference on Power Electronics Specialists, 2005., 2005
For the past decade, the deregulation of the electric power industry has created an environment w... more For the past decade, the deregulation of the electric power industry has created an environment where traditional generation is being reexamined and new forms of generation are being created. Most likely wind turbines and fuel cells will be the dominant grid connected distributed generators. This paper proposes a novel integration of a doubly-fed induction generator (DFIG) and a fuel cell.
APEC 2000. Fifteenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.00CH37058), 2000
... 14 depicts two field test curves with power estimated and measured in the flyback converter o... more ... 14 depicts two field test curves with power estimated and measured in the flyback converter output. The curves represent measurements during December 1998 in a sunny day in Sa0 Paulo City. P& d Muimum Pomr I ... 762-769, Jan. 1992. [9] M. Godpy SimBes, NN Franceschetti ...
The Cellular Neural Networks (CNN) model consist of many parallel analog processors computing in ... more The Cellular Neural Networks (CNN) model consist of many parallel analog processors computing in real time. CNN is nowadays a paradigm of cellular analog programmable multidimensional processor array with distributed local logic and memory. One desirable feature is that these processors are arranged in a two dimensional grid and have only local connections. This structure can be easily translated into a VLSI implementation, where the connections between the processors are determined by a cloning template. This template describes the strength of nearest-neighbour interconnections in the network. The focus of this paper is to present one new methodology to solve Shape from Shading problem using CNN. Some practical results are presented and briefly discussed, demonstrating the successful operation of the proposed algorithm.
Page 1. SIMULATION AND ANALYSIS OF DQ FRAME AND P+RESONANT CONTROLS FOR VOLTAGE SOURCE INVERTER T... more Page 1. SIMULATION AND ANALYSIS OF DQ FRAME AND P+RESONANT CONTROLS FOR VOLTAGE SOURCE INVERTER TO DISTRIBUTED GENERATION Renata Carnieletto1, Diego B. Ramos2, Marcelo G. Simões1, Felix ...
Smart grid (SG) technology transforms the traditional power grid from a single layer physical sys... more Smart grid (SG) technology transforms the traditional power grid from a single layer physical system to a cyberphysical network that includes a second layer of information. Collecting, transferring, and analyzing the huge amount of data that can be captured from different parameters in the network, together with the uncertainty that is caused by the distributed power generators, challenge the standard methods for security and monitoring in future SGs. Other important issues are the cost and power efficiency of data collection and analysis, which are highlighted in emergency situations such as blackouts. This paper presents an efficient dynamic solution for online SG topology identification and monitoring by combining concepts from compressive sensing and graph theory. In particular, the SG is modeled as a huge interconnected graph, and then using a DC power-flow model under the probabilistic optimal power flow, topology identification is mathematically reformulated as a sparse recovery problem. This problem and challenges therein are efficiently solved using modified sparse recovery algorithms. Network models are generated using the MATPOWER toolbox. Simulation results show that the proposed method represents a promising alternative for real time monitoring in SGs.
2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013
With the fast development of information technology and increasingly prominent environmental prob... more With the fast development of information technology and increasingly prominent environmental problem, building comfort and energy management become the major tasks for an intelligent residential building system. According to statistical studies, people spend 80% of their lives in buildings. Hence it is not surprising that they constantly seek to improve comfort in their living spaces. This paper presents an intelligent control system based on artificial immune system architecture to maintain the thermal comfort while reducing energy consumption. Specifically, a residential building is regarded as a human body and a comfortable thermal environment means the healthy state of body. Whenever outside factors disturb this state, which is analogous to the intrusion of pathogens, the immune system will work automatically to eliminate them and therefore to keep the proper state of the body. The experimental results show the advantages of our system comparing with two widely used baseline approaches: two-position control and PI control.
2005 12th International Symposium on Electrets, 2005
Adsorbed layers of poly(o-ethoxyaniline) (POEA) produced with the layer-by-layer technique have b... more Adsorbed layers of poly(o-ethoxyaniline) (POEA) produced with the layer-by-layer technique have been studied with atomic force spectroscopy (AFS). The films were prepared under different conditions (pH and solution concentration), and measurements were carried out in air and in a liquid cell. Both the doping level and fabrication conditions affect the POEA film morphology and the interactions of the atomic force microscopy (AFM) tip with the polymer molecules. For example, a mapping of the forces indicates the presence of conducting islands surrounded by a less conductive matrix in POEA and PANI
The implementation of Smart Grids will fundamentally change the approach of assessing and mitigat... more The implementation of Smart Grids will fundamentally change the approach of assessing and mitigating system voltage deficiencies on an electric distribution system. Many distribution companies have historically indentified feeder level voltage deficiencies utilizing a reactive approach that relies upon customer complaints. The monitoring capabilities of a Smart Grid will allow utilities to proactively identify a large number of events that
International Journal of Rock Mechanics and Mining Sciences, 2011
Abstract—The main objective of this paper was to develop a TBM utilization predictor model by usi... more Abstract—The main objective of this paper was to develop a TBM utilization predictor model by using fuzzy logic. Rule-based (Mamdani model) and parametric-based (Sugeno model) fuzzy logic were adapted to model subjective and unquantified TBM field data sets. A total of ...
Ieee Transactions on Industry Applications, May 1, 1995
Neural networks are recently showing good promise for application in power electronics and motion... more Neural networks are recently showing good promise for application in power electronics and motion control systems. So far, they have been applied for a few cases, mainly in the control of converters and drives, but their application in estimation is practically new. The purpose of this paper is to demonstrate that such a technology can be applied for estimation of feedback signals in an induction motor drive with some distinct advantages when compared to DSP based implementation. A feedforward neural network receives the machine terminal signals at the input and calculates flux, torque, and unit vectors (cose, and sine,) at the output which are then used in the control of a direct vector-controlled drive system. The three-layer network has been trained extensively by Neural Works Professional IyPlus program to emulate the DSP-based computational characteristics. The performance of the estimator is good and is comparable to that of DSP-based estimation. The system has been operated in the wide torque and speed regions independently with a DSPbased estimator and a neural network-based estimator, and are shown to have comparable performance. The neural network estimator has the advantages of faster execution speed, harmonic ripple immunity, and fault tolerance characteristics compared to DSP-based estimator.
2009 IEEE Electrical Power & Energy Conference (EPEC), 2009
This paper presents an optimum control of an induction generator based wind energy system where t... more This paper presents an optimum control of an induction generator based wind energy system where the torque control is optimized for maximum peak power tracking. The induction generator is connected to the grid with a double pwm converter. This digest shows a brief explanation of the optimization technique control along with simulation results obtained for squirrel cage type induction generators. The same approach is under development for doubly fed Induction generators, used in high power applications. The final paper will include the simulation studies and experimental verification of both controllers, with an evaluation of performance and robustness for each system.
IEEE 36th Conference on Power Electronics Specialists, 2005., 2005
This paper presents a 400 Hz microgrid, suitable for integration of alternative energy sources in... more This paper presents a 400 Hz microgrid, suitable for integration of alternative energy sources in a distributed generation system. The utilization of a higher frequency can bring some advantages, such as weight and size reduction of passive components. To compensate for voltage and current harmonics, present in the microgrid bus, this paper proposes a modified p-q theory, which is suitable
IEEE 36th Conference on Power Electronics Specialists, 2005., 2005
For the past decade, the deregulation of the electric power industry has created an environment w... more For the past decade, the deregulation of the electric power industry has created an environment where traditional generation is being reexamined and new forms of generation are being created. Most likely wind turbines and fuel cells will be the dominant grid connected distributed generators. This paper proposes a novel integration of a doubly-fed induction generator (DFIG) and a fuel cell.
APEC 2000. Fifteenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.00CH37058), 2000
... 14 depicts two field test curves with power estimated and measured in the flyback converter o... more ... 14 depicts two field test curves with power estimated and measured in the flyback converter output. The curves represent measurements during December 1998 in a sunny day in Sa0 Paulo City. P& d Muimum Pomr I ... 762-769, Jan. 1992. [9] M. Godpy SimBes, NN Franceschetti ...
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