Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261634
J. Hernández-Ramírez, J. Segundo, F. Martínez-Cárdenas, E. Barocio
Modern power systems with high penetration of renewable energies, such as wind and photovoltaic (PV), commonly experiment harmonic issues and in some cases this power quality problem leads to instability. To understand and study this phenomenon, small-signal models have been proposed; however, most of these models neglect the harmonic cross-coupling and the harmonics themselves. Consequently, the harmonic interaction among controllers, network elements, loads, and power electronic converters is overlooked. This paper presents two approaches to obtain the small-signal model of a grid-connected AC microgrid constituted by multiple parallel three-phase inverters; one approach is analytical and the another is numerical. The extended harmonic domain (EHD) is used as frame of reference for the proposed small-signal models since it retains the harmonic cross-coupling among all the harmonic components, and transforms a linear periodic time-varying system into a linear time invariant (LTI) system allowing the straightforward use of LTI tools.
{"title":"Harmonic linear time invariant modeling of grid-connected parallel inverters-based microgrids","authors":"J. Hernández-Ramírez, J. Segundo, F. Martínez-Cárdenas, E. Barocio","doi":"10.1109/ROPEC.2017.8261634","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261634","url":null,"abstract":"Modern power systems with high penetration of renewable energies, such as wind and photovoltaic (PV), commonly experiment harmonic issues and in some cases this power quality problem leads to instability. To understand and study this phenomenon, small-signal models have been proposed; however, most of these models neglect the harmonic cross-coupling and the harmonics themselves. Consequently, the harmonic interaction among controllers, network elements, loads, and power electronic converters is overlooked. This paper presents two approaches to obtain the small-signal model of a grid-connected AC microgrid constituted by multiple parallel three-phase inverters; one approach is analytical and the another is numerical. The extended harmonic domain (EHD) is used as frame of reference for the proposed small-signal models since it retains the harmonic cross-coupling among all the harmonic components, and transforms a linear periodic time-varying system into a linear time invariant (LTI) system allowing the straightforward use of LTI tools.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130546870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261593
O. A. Morfín, B. Aguilar, H. Gabbar, F. Ornelas‐Tellez, R. Ruiz-Cruz, A. Valderrábano‐González, C. Castañeda
On this paper, a robust velocity controller based on state-feedback linearization technique combined with super-twisting control law, as a second order sliding mode algorithm, is proposed. This closed-loop scheme is applied to a three-phase squirrel cage induction that drives a mechanical load settled by an induction generator which spins above synchronous velocity. The control goals are to regulate the rotor velocity and the squared module of rotor flux linkages that tracks a signal which varies according to stator currents. The controller design is made in aß coordinate frame where the control input signals are conditioned with space vector pulse width modulation to activate the IGBT's of the three-phase converter bridge. The rotor flux linkages are estimated via a reduced-observer by applying sliding modes; meanwhile, the load torque is estimated by an asymptotic reduced-observer. The robustness of the proposed controller is validated through real-time experimentation under extreme test where the velocity reference signal is a pulse train.
{"title":"Real-time induction motor velocity controller applying SOSM super-twisting combined with state-feedback linearization","authors":"O. A. Morfín, B. Aguilar, H. Gabbar, F. Ornelas‐Tellez, R. Ruiz-Cruz, A. Valderrábano‐González, C. Castañeda","doi":"10.1109/ROPEC.2017.8261593","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261593","url":null,"abstract":"On this paper, a robust velocity controller based on state-feedback linearization technique combined with super-twisting control law, as a second order sliding mode algorithm, is proposed. This closed-loop scheme is applied to a three-phase squirrel cage induction that drives a mechanical load settled by an induction generator which spins above synchronous velocity. The control goals are to regulate the rotor velocity and the squared module of rotor flux linkages that tracks a signal which varies according to stator currents. The controller design is made in aß coordinate frame where the control input signals are conditioned with space vector pulse width modulation to activate the IGBT's of the three-phase converter bridge. The rotor flux linkages are estimated via a reduced-observer by applying sliding modes; meanwhile, the load torque is estimated by an asymptotic reduced-observer. The robustness of the proposed controller is validated through real-time experimentation under extreme test where the velocity reference signal is a pulse train.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129545876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261576
Ali Far
Targeting the energy harvesting applications that require multiple channels of matched buffer amplifiers on a chip, a small rail-to-rail input-output, ultra low current, and low supply voltage (VDD) buffer amplifier is presented. The contributions of this work are as follows: First, an output buffer driver utilizes a loser-take-all circuit (LTA) and a current mirror amplifier (CMA) circuit to regulate the current in either of the inactive sink or source output driver transistors (FET). In conjunction with the LTA and CMA, a complementary noninverting current mirror (CNICM), monitors and rectifies the sink-source output signals before they are fed to the LTA circuit. Hence, the amplifier's current consumption, attributed to monitoring external loads, is substantially curbed. More importantly, because all the elements of the buffer driver (LTA, CMA, and CNICM) operate mainly in current mode, the output buffer driver is structurally fast and can operate with low VDD of about VGS+2VDS. Second, a floating current source (FCS) function is emulated that can also operate with low VDD and is fast in lieu of utilizing auxiliary common gate amplifiers (CGA). The FCS contains two complementary cascoded FET current sources where the middle cascoded FET's VGSs are held constant and their drain currents are criss-crossed and fed to each other's source terminals, while CGAs regulate the VGSs of the lower FETs, whose currents are substantially equalized and mirrored into the Amplifier's bias network. Montecarlo (MC) and worst case (WC) simulations indicate the following specifications are achievable: VDD minimum ∼ 0.8v; IDD ∼ 200nA; input voltage range rail to rail; output voltage range ∼ 10mV from the rails; open loop gain (AV) ∼ 115dB with unity gain bandwidth (fU) ∼ 600KHz and phase margin (PM) ∼ 30 degrees; power supply rejection ratio (PSRR) ∼ − 88dB; common mode rejection ratio (CMRR) ∼ − 120dB; slew rate (SR) ∼ 2V/ 5uS; settling time (tS) ∼ 10uS; output resistor (RL) capability ∼10K Ohms; and die size rough estimate is 100 um per side.
{"title":"Compact ultra low power class AB buffer amplifier","authors":"Ali Far","doi":"10.1109/ROPEC.2017.8261576","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261576","url":null,"abstract":"Targeting the energy harvesting applications that require multiple channels of matched buffer amplifiers on a chip, a small rail-to-rail input-output, ultra low current, and low supply voltage (VDD) buffer amplifier is presented. The contributions of this work are as follows: First, an output buffer driver utilizes a loser-take-all circuit (LTA) and a current mirror amplifier (CMA) circuit to regulate the current in either of the inactive sink or source output driver transistors (FET). In conjunction with the LTA and CMA, a complementary noninverting current mirror (CNICM), monitors and rectifies the sink-source output signals before they are fed to the LTA circuit. Hence, the amplifier's current consumption, attributed to monitoring external loads, is substantially curbed. More importantly, because all the elements of the buffer driver (LTA, CMA, and CNICM) operate mainly in current mode, the output buffer driver is structurally fast and can operate with low VDD of about VGS+2VDS. Second, a floating current source (FCS) function is emulated that can also operate with low VDD and is fast in lieu of utilizing auxiliary common gate amplifiers (CGA). The FCS contains two complementary cascoded FET current sources where the middle cascoded FET's VGSs are held constant and their drain currents are criss-crossed and fed to each other's source terminals, while CGAs regulate the VGSs of the lower FETs, whose currents are substantially equalized and mirrored into the Amplifier's bias network. Montecarlo (MC) and worst case (WC) simulations indicate the following specifications are achievable: VDD minimum ∼ 0.8v; IDD ∼ 200nA; input voltage range rail to rail; output voltage range ∼ 10mV from the rails; open loop gain (AV) ∼ 115dB with unity gain bandwidth (fU) ∼ 600KHz and phase margin (PM) ∼ 30 degrees; power supply rejection ratio (PSRR) ∼ − 88dB; common mode rejection ratio (CMRR) ∼ − 120dB; slew rate (SR) ∼ 2V/ 5uS; settling time (tS) ∼ 10uS; output resistor (RL) capability ∼10K Ohms; and die size rough estimate is 100 um per side.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"34 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131116964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261617
Emilio Barocio O. C. Robles, J. Segundo, J. C. Olivares-Galvan, D. Guillen
In this paper, a Multi Scale Recurrence Quantification Analysis (MSRQA) method is proposed to clustering harmonics on microgrid systems. MSRQA is composed by the Variational Mode Decomposition algorithm and the Recurrence Quantification Analysis (RQA). MSRQA decomposes a signal into a finite number of Mono-Component Signals (MCSs), then a feature extraction is carry out by the RQA on each MCS. Finally, the identification of the optimal number of clusters based on the features extracted by RQA and the Davies-Bouldin index is carry out on the monitored microgrid system test signals. At the end an index based on the cluster information and the RQA measure is proposed to identify the harmonics present on the dynamic system behavior.
{"title":"Multi scale recurrence quantification analysis for clustering harmonics on microgrid systems","authors":"Emilio Barocio O. C. Robles, J. Segundo, J. C. Olivares-Galvan, D. Guillen","doi":"10.1109/ROPEC.2017.8261617","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261617","url":null,"abstract":"In this paper, a Multi Scale Recurrence Quantification Analysis (MSRQA) method is proposed to clustering harmonics on microgrid systems. MSRQA is composed by the Variational Mode Decomposition algorithm and the Recurrence Quantification Analysis (RQA). MSRQA decomposes a signal into a finite number of Mono-Component Signals (MCSs), then a feature extraction is carry out by the RQA on each MCS. Finally, the identification of the optimal number of clusters based on the features extracted by RQA and the Davies-Bouldin index is carry out on the monitored microgrid system test signals. At the end an index based on the cluster information and the RQA measure is proposed to identify the harmonics present on the dynamic system behavior.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126946339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261680
Hugo E. Vega Ayala, Norberto García Barriga
This paper addresses the impact of the integration of plug-in electric vehicles (PEV) in a high-voltage (HV) electric grid located in the metropolitan area of the city of Morelia, Mexico. A penetration scenario of 10.5%, which corresponds to 31316 vehicles, is considered by allocating electric vehicles to substations. A time domain modelling of an electric vehicle (EV) and an AC Level-2 charger is implemented in a PSS/E-based simulation platform. Furthermore, an uncontrolled charging strategy is implemented in this paper, which is based on the assumption that EVs owners are free to connect and charge their vehicles whenever they want. Power flow solutions are reported in terms of nodal voltages, power losses and loading impacts in the 115 kV sub-transmission system, substation transformers and transmission system. Results show that the load due to the EVs can help to the nodal voltages regulation in the grid during certain times of the day. However, a large number of EVs can significantly increase the losses and exceed the capacity of the transformers depending on the load curve of each substation.
{"title":"Study of the impact of electric vehicles fleets in HV electric power grids based on an uncontrolled charging strategy","authors":"Hugo E. Vega Ayala, Norberto García Barriga","doi":"10.1109/ROPEC.2017.8261680","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261680","url":null,"abstract":"This paper addresses the impact of the integration of plug-in electric vehicles (PEV) in a high-voltage (HV) electric grid located in the metropolitan area of the city of Morelia, Mexico. A penetration scenario of 10.5%, which corresponds to 31316 vehicles, is considered by allocating electric vehicles to substations. A time domain modelling of an electric vehicle (EV) and an AC Level-2 charger is implemented in a PSS/E-based simulation platform. Furthermore, an uncontrolled charging strategy is implemented in this paper, which is based on the assumption that EVs owners are free to connect and charge their vehicles whenever they want. Power flow solutions are reported in terms of nodal voltages, power losses and loading impacts in the 115 kV sub-transmission system, substation transformers and transmission system. Results show that the load due to the EVs can help to the nodal voltages regulation in the grid during certain times of the day. However, a large number of EVs can significantly increase the losses and exceed the capacity of the transformers depending on the load curve of each substation.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127186744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261667
Cesar E. Hernández-González, J. Ramírez-Cortés, P. Gómez-Gil, J. Rangel-Magdaleno, H. Peregrina-Barreto, Israel Cruz-Vega
A BCI system (Brain-Computer Interface) aims to the interpretation of brain signals perceived through electroencephalography (EEG) sensors in order to allow the user interaction with the environment through specific actions. In this paper we present an experiment of EEG signal classification under the motor imagery paradigm using two feature extraction methods for comparison purposes: discrete wavelet transform (DWT) and maximum overlap discrete wavelet transform (MODWT). The feature vectors are fed into a support vector machine (SVM) classification system. The results obtained show an accuracy of 98.81% in average.
{"title":"EEG motor imagery signals classification using maximum overlap wavelet transform and support vector machine","authors":"Cesar E. Hernández-González, J. Ramírez-Cortés, P. Gómez-Gil, J. Rangel-Magdaleno, H. Peregrina-Barreto, Israel Cruz-Vega","doi":"10.1109/ROPEC.2017.8261667","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261667","url":null,"abstract":"A BCI system (Brain-Computer Interface) aims to the interpretation of brain signals perceived through electroencephalography (EEG) sensors in order to allow the user interaction with the environment through specific actions. In this paper we present an experiment of EEG signal classification under the motor imagery paradigm using two feature extraction methods for comparison purposes: discrete wavelet transform (DWT) and maximum overlap discrete wavelet transform (MODWT). The feature vectors are fed into a support vector machine (SVM) classification system. The results obtained show an accuracy of 98.81% in average.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127506453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261664
Gabriel O. Rubio-Marroquin, C. Fuerte-Esquivel, E. Zamora-Cardenas
A fundamentally different approach for formulating the state estimation problem associated with electric power distribution systems is proposed in this paper. This formulation is developed in the positive sequence frame of reference, which remarkably reduces the complexity of developing a distribution system state estimator. In order to estimate the operation state of unbalanced multiphase distribution networks by using the proposed positive sequence-based state estimator, the distribution network is also modeled through positive-sequence equivalent models. Furthermore, a homotopy-based solution method is incorporated in the developed program to enhance the performance of the proposed approach towards the convergence. The validity and the effectiveness of the proposed method are numerically demonstrated in the 13-bus test distribution system.
{"title":"State estimation of unbalanced electric distribution systems using positive sequence equivalents and homotopy methods","authors":"Gabriel O. Rubio-Marroquin, C. Fuerte-Esquivel, E. Zamora-Cardenas","doi":"10.1109/ROPEC.2017.8261664","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261664","url":null,"abstract":"A fundamentally different approach for formulating the state estimation problem associated with electric power distribution systems is proposed in this paper. This formulation is developed in the positive sequence frame of reference, which remarkably reduces the complexity of developing a distribution system state estimator. In order to estimate the operation state of unbalanced multiphase distribution networks by using the proposed positive sequence-based state estimator, the distribution network is also modeled through positive-sequence equivalent models. Furthermore, a homotopy-based solution method is incorporated in the developed program to enhance the performance of the proposed approach towards the convergence. The validity and the effectiveness of the proposed method are numerically demonstrated in the 13-bus test distribution system.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123024349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261635
A. Arellanes, E. Rodriguez, R. Orosco, J. Pérez, J. Beristáin
In this moment, different alternatives exist to generate electric power across the natural resources use. One of the most popular options is making use of solar energy by photovoltaic (PV) cells and power electronic converters. Both elements constitute the photovoltaic systems (SFV). Although today, you can find a number of different topologies of converters, it is necessary to look for alternatives that offer all the possible advantages in order to achieve a better use of the solar resources. This paper proposes the construction of a prototype which topology is already known as 3 phase full-bridge inverter (30) to perform not only injection of active power (P), but also have the capability to inject and/or absorb reactive power (Q), by means of a suitable control scheme.
{"title":"Three-phase grid-tied photovoltaic inverter with reactive power compensation capability","authors":"A. Arellanes, E. Rodriguez, R. Orosco, J. Pérez, J. Beristáin","doi":"10.1109/ROPEC.2017.8261635","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261635","url":null,"abstract":"In this moment, different alternatives exist to generate electric power across the natural resources use. One of the most popular options is making use of solar energy by photovoltaic (PV) cells and power electronic converters. Both elements constitute the photovoltaic systems (SFV). Although today, you can find a number of different topologies of converters, it is necessary to look for alternatives that offer all the possible advantages in order to achieve a better use of the solar resources. This paper proposes the construction of a prototype which topology is already known as 3 phase full-bridge inverter (30) to perform not only injection of active power (P), but also have the capability to inject and/or absorb reactive power (Q), by means of a suitable control scheme.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130020336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261638
Claudia N. Sánchez, Mario Graff
Genetic Programming (GP) is an evolutionary algorithm that has received a lot of attention because it has been successfully applied to solving hard real problems. Furthermore, it has been shown that the use of semantic operators can improve GP performance in supervised learning problems. In this work, for parents selection, target semantics and function's properties are used. We propose three new selection techniques: tournament selection based on desired semantics, tournament selection based on the orthogonality and tournament selection for one argument functions. To prove the performance of our proposal, we test our implementation with different classification problems.
{"title":"Semantic genetic operators based on a selection mechanism tailored for the root function","authors":"Claudia N. Sánchez, Mario Graff","doi":"10.1109/ROPEC.2017.8261638","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261638","url":null,"abstract":"Genetic Programming (GP) is an evolutionary algorithm that has received a lot of attention because it has been successfully applied to solving hard real problems. Furthermore, it has been shown that the use of semantic operators can improve GP performance in supervised learning problems. In this work, for parents selection, target semantics and function's properties are used. We propose three new selection techniques: tournament selection based on desired semantics, tournament selection based on the orthogonality and tournament selection for one argument functions. To prove the performance of our proposal, we test our implementation with different classification problems.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131292023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ROPEC.2017.8261584
C. Vásquez, Cristhian Manuel Durán Acevedo
This article presents the analysis and design of a wireless system for the monitoring and detection of diseases through exhaled breath in people; This system comprises of a sampling device which contains a measuring chamber composed of MOS gas sensors, in order to detect the volatile compounds emitted from the breath for biomedical applications. A high-performance wireless data acquisition card sends the obtained signals to a remote terminal, which will incorporate a graphical set of pattern recognition algorithms (e.g PCA) and artificial intelligence for pre-processing and signal processing to find the patterns of the volatile compounds for discrimination and classification.
{"title":"Wireless system for the detection and monitoring of diseases through exhaled breath","authors":"C. Vásquez, Cristhian Manuel Durán Acevedo","doi":"10.1109/ROPEC.2017.8261584","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261584","url":null,"abstract":"This article presents the analysis and design of a wireless system for the monitoring and detection of diseases through exhaled breath in people; This system comprises of a sampling device which contains a measuring chamber composed of MOS gas sensors, in order to detect the volatile compounds emitted from the breath for biomedical applications. A high-performance wireless data acquisition card sends the obtained signals to a remote terminal, which will incorporate a graphical set of pattern recognition algorithms (e.g PCA) and artificial intelligence for pre-processing and signal processing to find the patterns of the volatile compounds for discrimination and classification.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124192363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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