Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648508
N. Faedo, Demián García-Violini, Y. Peña-Sanchez, J. Ringwood
Wave energy has attracted significant attention during the past decades worldwide, due to the significant amount of energy available in ocean waves. However, to date, wave energy systems have not reached commercial viability. As such, appropriate control system technology is considered a key driver to achieve commercialisation of wave energy converters (WECs). As of today, Argentina has not taken an active part in the discussion and development of suitable control techniques to harvest this energy resource, despite the geographic opportunities and the vast experience that Argentina has acquired and demonstrated in other non-carbon-based energy sources. In the light of this, we provide, in this paper, a feasibility assessment of three state-of-the-art control methodologies for wave energy harvesting systems, for a WEC prototype developed in Argentina. To this end, representative operating conditions, characteristic of the wave resource in the coastal area of Argentina, are considered. Finally, the performance of each controller is discussed, together with a set of conclusions and potential directions on the fundamental design of the WEC prototype from a control-oriented perspective.
{"title":"On the feasibility of energy-maximising controllers for an Argentinian wave energy system","authors":"N. Faedo, Demián García-Violini, Y. Peña-Sanchez, J. Ringwood","doi":"10.1109/RPIC53795.2021.9648508","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648508","url":null,"abstract":"Wave energy has attracted significant attention during the past decades worldwide, due to the significant amount of energy available in ocean waves. However, to date, wave energy systems have not reached commercial viability. As such, appropriate control system technology is considered a key driver to achieve commercialisation of wave energy converters (WECs). As of today, Argentina has not taken an active part in the discussion and development of suitable control techniques to harvest this energy resource, despite the geographic opportunities and the vast experience that Argentina has acquired and demonstrated in other non-carbon-based energy sources. In the light of this, we provide, in this paper, a feasibility assessment of three state-of-the-art control methodologies for wave energy harvesting systems, for a WEC prototype developed in Argentina. To this end, representative operating conditions, characteristic of the wave resource in the coastal area of Argentina, are considered. Finally, the performance of each controller is discussed, together with a set of conclusions and potential directions on the fundamental design of the WEC prototype from a control-oriented perspective.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134564238","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648420
Martin Crespo, Martín Mujica, Mourad Benoussaad, S. Junco
This paper presents a robust control law for a redundant robotic arm that manipulates an unknown load attached to its end effector. As it is considered that the robot manipulator may interact with the environment, the control law is expressed in terms of the operational space variables. An extended dynamic model of the robot, considering the uncertain load and intentional simplifications in the kinematic model, is presented for the control system design. The objective of the work is to develop, based in a sliding control mode, a robust motion control law featuring robustness in face of the above mentioned model uncertainties and simplifications, and to prove, with Lyapunov’s theory, the stability of the closed loop system. The kinematic redundancy of the manipulator is exploited to enhance the performance. It is shown, through simulations done on a 7-DOF KUKA LBR iiwa 14 R820 robot model, that the errors remain bounded when the box is following a trajectory even with different values of loads.
{"title":"Robust Control in Task Space for Redundant Manipulator","authors":"Martin Crespo, Martín Mujica, Mourad Benoussaad, S. Junco","doi":"10.1109/RPIC53795.2021.9648420","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648420","url":null,"abstract":"This paper presents a robust control law for a redundant robotic arm that manipulates an unknown load attached to its end effector. As it is considered that the robot manipulator may interact with the environment, the control law is expressed in terms of the operational space variables. An extended dynamic model of the robot, considering the uncertain load and intentional simplifications in the kinematic model, is presented for the control system design. The objective of the work is to develop, based in a sliding control mode, a robust motion control law featuring robustness in face of the above mentioned model uncertainties and simplifications, and to prove, with Lyapunov’s theory, the stability of the closed loop system. The kinematic redundancy of the manipulator is exploited to enhance the performance. It is shown, through simulations done on a 7-DOF KUKA LBR iiwa 14 R820 robot model, that the errors remain bounded when the box is following a trajectory even with different values of loads.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133529689","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648473
Santiago Fernández, F. Gregorio, F. J. López-Martínez, J. Cousseau
In this work, a waveform design using a combination of OFDM and companding technique is proposed to improve the wireless power transfer (WPT) efficiency without sacrificing the wireless information transfer performance. Employing a Simultaneous Wireless Information and Power Transfer (SWIPT) scheme called Power Splitting (PS) protocol, the transfer of power and data is achieved simultaneously between a Power Beacon (PB) and a receiver node. Furthermore, in order to capture all important nonlinear behaviors of a real energy harvester rectifier circuit, a curve fitting-based nonlinear rectifier model is used. Results show that the use of this companding technique allows the power amplifier (PA) to generate and transmit signals for WPT in a more efficient way, improving also the conversion efficiency of the energy harvester.
{"title":"An Efficient Wireless Power Transmitter Based on Companded OFDM Signals","authors":"Santiago Fernández, F. Gregorio, F. J. López-Martínez, J. Cousseau","doi":"10.1109/RPIC53795.2021.9648473","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648473","url":null,"abstract":"In this work, a waveform design using a combination of OFDM and companding technique is proposed to improve the wireless power transfer (WPT) efficiency without sacrificing the wireless information transfer performance. Employing a Simultaneous Wireless Information and Power Transfer (SWIPT) scheme called Power Splitting (PS) protocol, the transfer of power and data is achieved simultaneously between a Power Beacon (PB) and a receiver node. Furthermore, in order to capture all important nonlinear behaviors of a real energy harvester rectifier circuit, a curve fitting-based nonlinear rectifier model is used. Results show that the use of this companding technique allows the power amplifier (PA) to generate and transmit signals for WPT in a more efficient way, improving also the conversion efficiency of the energy harvester.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132690689","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648465
Martín A. Alarcón, Rodrigo G. Alarcón, A. González, A. Ferramosca
This paper proposes a Model Predictive Control (MPC) strategy for energy resources management in a microgrid. A state-space discrete-time linear model is presented, characterized by an hybrid storage system, consisting of lithium ion battery banks and ultracapacitors. The renewable resource is composed by an array of solar panels and the microgrid is considered to be connected to the main electricity grid, having the possibility to interact with it, under certain restrictions. Simulation results are presented under different generation and consumption scenarios.
{"title":"Economic model predictive control for energy management in a hybrid storage microgrid","authors":"Martín A. Alarcón, Rodrigo G. Alarcón, A. González, A. Ferramosca","doi":"10.1109/RPIC53795.2021.9648465","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648465","url":null,"abstract":"This paper proposes a Model Predictive Control (MPC) strategy for energy resources management in a microgrid. A state-space discrete-time linear model is presented, characterized by an hybrid storage system, consisting of lithium ion battery banks and ultracapacitors. The renewable resource is composed by an array of solar panels and the microgrid is considered to be connected to the main electricity grid, having the possibility to interact with it, under certain restrictions. Simulation results are presented under different generation and consumption scenarios.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131855797","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648447
M. Herrera, J. Pucheta, C. Salas, H. Patiño, Cristian Rodriguez Rivero
In this work, a new design methodology for the LQR deduction controller based on the Pontryagin’s maximum principle for LTI systems is presented. The advantage of this new procedure over the classic ones is that it allows tuning the weighting matrices, Q and R, in operation without requiring a large volume of computing effort, making it suitable for implementation in low-cost microcontrollers. In order to show its performance, computer simulations applied to the control of an inverted pendulum and a quadrotor are shown.
{"title":"A novel LQR Controller Design Method based on the Pontryagin’s Maximum Principle","authors":"M. Herrera, J. Pucheta, C. Salas, H. Patiño, Cristian Rodriguez Rivero","doi":"10.1109/RPIC53795.2021.9648447","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648447","url":null,"abstract":"In this work, a new design methodology for the LQR deduction controller based on the Pontryagin’s maximum principle for LTI systems is presented. The advantage of this new procedure over the classic ones is that it allows tuning the weighting matrices, Q and R, in operation without requiring a large volume of computing effort, making it suitable for implementation in low-cost microcontrollers. In order to show its performance, computer simulations applied to the control of an inverted pendulum and a quadrotor are shown.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128539008","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648436
José Antonio Trillos Paredes, Lina María Gómez-Echavarría, Freddy Bolaños Martínez
In this article, a dynamic model of the cardio-respiratory system is developed, which uses an electrocardiogram (ECG) signal as input. Identification of two models of the Hammerstein − Wiener type is carried out, in order to obtain the mass flow of air in the respiratory process and the blood flow, starting from the ECG signal. These flows are coupled in turn with a phenomenological-based dynamic model that describes respiratory dynamics. From the developed model, it is possible to obtain as a result the concentrations of oxygen (O2) and carbon dioxide (CO2) in different parts of the body for different ECG signals.
{"title":"Dynamic Model of the Cardiorespiratory System in Healthy Humans by using Electrocardiogram signals as Input","authors":"José Antonio Trillos Paredes, Lina María Gómez-Echavarría, Freddy Bolaños Martínez","doi":"10.1109/RPIC53795.2021.9648436","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648436","url":null,"abstract":"In this article, a dynamic model of the cardio-respiratory system is developed, which uses an electrocardiogram (ECG) signal as input. Identification of two models of the Hammerstein − Wiener type is carried out, in order to obtain the mass flow of air in the respiratory process and the blood flow, starting from the ECG signal. These flows are coupled in turn with a phenomenological-based dynamic model that describes respiratory dynamics. From the developed model, it is possible to obtain as a result the concentrations of oxygen (O2) and carbon dioxide (CO2) in different parts of the body for different ECG signals.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126121255","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648412
M. Meira, C. Ruschetti, C. Verucchi, Guillermo R. Bossio, J. Bossio
In this work, it is proposed to use a new reference frame in dq variables fixed to the stator fluxes to discriminate faults such as broken rotor bars in induction motors from low frequency load oscillations. In this new reference frame, only the stator current q contributes to the electromagnetic torque. This makes it sensitive to load faults, such as oscillations, while the current d is sensitive to motor faults, such as broken bars. Also, the steady state currents in dq variables are constant. Finally, it is possible to obtain two three-phase currents, one load-sensitive and the other motor-sensitive, which can be analyzed with classical signal analysis techniques. The proposal is validated through simulations, analyzing the full spectrum of the two three-phase currents. It is shown that with this new reference frame it is possible to discriminate between broken rotor bars in induction motors and low-frequency load oscillations.
{"title":"Diagnosis of induction motor faults using the full spectrum of direct and quadrature currents","authors":"M. Meira, C. Ruschetti, C. Verucchi, Guillermo R. Bossio, J. Bossio","doi":"10.1109/RPIC53795.2021.9648412","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648412","url":null,"abstract":"In this work, it is proposed to use a new reference frame in dq variables fixed to the stator fluxes to discriminate faults such as broken rotor bars in induction motors from low frequency load oscillations. In this new reference frame, only the stator current q contributes to the electromagnetic torque. This makes it sensitive to load faults, such as oscillations, while the current d is sensitive to motor faults, such as broken bars. Also, the steady state currents in dq variables are constant. Finally, it is possible to obtain two three-phase currents, one load-sensitive and the other motor-sensitive, which can be analyzed with classical signal analysis techniques. The proposal is validated through simulations, analyzing the full spectrum of the two three-phase currents. It is shown that with this new reference frame it is possible to discriminate between broken rotor bars in induction motors and low-frequency load oscillations.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124897074","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648470
M. F. García Ferreyra, Anahí Bianco, Ivanna Tropper
Air quality is assessed by determining criteria pollutant levels in the atmosphere. While the most significant measurements are ground based, satellite remote sensing is rising as a complementary technique to reveal spatial distribution of pollutants in the integrated tropospheric column. In this work we present a new CONAE’s value-added monthly product of nitrogen dioxide (NO2) for South America, derived from the tropospheric NO2 column density estimated by TROPOMI/Sentinel-5p (ESA) data. Dataset generation of monthly mean, median, standard deviation and quantity of data used per pixel, along with distribution formats of downloading and visualizing data, are explained in order to provide to different users their characteristics and access. In addition, a spatial and temporal analysis is made for the Buenos Aires, Santiago and São Paulo cities along with ground measurements, for the august 2018 to may 2021 period and on a monthly basis. For this matter, higher values of nitrogen dioxide were observed in wintertime for the three cities, due to a greater quantity of stagnation episodes. While satellite derived data follows the temporal profile of ground-based concentrations, Santiago was the city of higher levels and bigger contrast to the summer levels. COVID-19 pandemic restrictions to traffic circulation is also noticed in the diminishing of NO2 in the two datasets, as it was also reported in previous studies. The publication of this new dataset holds the objective of supporting air quality monitoring in South America, helping non specialized users to freely access to interoperational data.
{"title":"NO2 monthly product for air quality in South America","authors":"M. F. García Ferreyra, Anahí Bianco, Ivanna Tropper","doi":"10.1109/RPIC53795.2021.9648470","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648470","url":null,"abstract":"Air quality is assessed by determining criteria pollutant levels in the atmosphere. While the most significant measurements are ground based, satellite remote sensing is rising as a complementary technique to reveal spatial distribution of pollutants in the integrated tropospheric column. In this work we present a new CONAE’s value-added monthly product of nitrogen dioxide (NO2) for South America, derived from the tropospheric NO2 column density estimated by TROPOMI/Sentinel-5p (ESA) data. Dataset generation of monthly mean, median, standard deviation and quantity of data used per pixel, along with distribution formats of downloading and visualizing data, are explained in order to provide to different users their characteristics and access. In addition, a spatial and temporal analysis is made for the Buenos Aires, Santiago and São Paulo cities along with ground measurements, for the august 2018 to may 2021 period and on a monthly basis. For this matter, higher values of nitrogen dioxide were observed in wintertime for the three cities, due to a greater quantity of stagnation episodes. While satellite derived data follows the temporal profile of ground-based concentrations, Santiago was the city of higher levels and bigger contrast to the summer levels. COVID-19 pandemic restrictions to traffic circulation is also noticed in the diminishing of NO2 in the two datasets, as it was also reported in previous studies. The publication of this new dataset holds the objective of supporting air quality monitoring in South America, helping non specialized users to freely access to interoperational data.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130324370","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648492
G. Beltramone, C. Scavuzzo, A. Germãn, M. Bonansea, A. Ferral
Monitoring the spatial and temporal changes of seasonal snow cover helps to predict and mitigate floods, avalanches, frost damage, among other hazards. It can also help estimating the supply for human consumption of fresh water, irrigation and hydropower stations, and may contribute to the improvement of weather forecasts and the understanding of the climate system. However, global warming and the effect of Light Absorbing Impurities (LAIs) are affecting the spatial and temporal variability of snowpacks and its complex processes and environmental interactions. This study is a first approach for assessing the impact of LAIs in the Argentinean snowpacks albedo through radiative transfer models. The results suggest that determining the state of the snowpack before estimating the presence, concentration and type of impurity is essential due to the fact that the albedo simulations vary significantly according to the snow grain size. Additionally, change percentage from unpolluted fresh and aged snow was calculated for snowpacks with high concentrations of black carbon, dust and ash considering the impurity values found in South America. Finally, the albedo results obtained with the SNICAR model were compared with the Landsat-8 relative spectral response in order to assess the capabilities of the sensor to estimate the presence of LAIs, which showed similar results than the ones obtained with SNICAR.
{"title":"Surface reflectance simulations of fresh and aged snow with light absorbing impurities","authors":"G. Beltramone, C. Scavuzzo, A. Germãn, M. Bonansea, A. Ferral","doi":"10.1109/RPIC53795.2021.9648492","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648492","url":null,"abstract":"Monitoring the spatial and temporal changes of seasonal snow cover helps to predict and mitigate floods, avalanches, frost damage, among other hazards. It can also help estimating the supply for human consumption of fresh water, irrigation and hydropower stations, and may contribute to the improvement of weather forecasts and the understanding of the climate system. However, global warming and the effect of Light Absorbing Impurities (LAIs) are affecting the spatial and temporal variability of snowpacks and its complex processes and environmental interactions. This study is a first approach for assessing the impact of LAIs in the Argentinean snowpacks albedo through radiative transfer models. The results suggest that determining the state of the snowpack before estimating the presence, concentration and type of impurity is essential due to the fact that the albedo simulations vary significantly according to the snow grain size. Additionally, change percentage from unpolluted fresh and aged snow was calculated for snowpacks with high concentrations of black carbon, dust and ash considering the impurity values found in South America. Finally, the albedo results obtained with the SNICAR model were compared with the Landsat-8 relative spectral response in order to assess the capabilities of the sensor to estimate the presence of LAIs, which showed similar results than the ones obtained with SNICAR.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129284593","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648524
Julián L. Gómez, D. Velis
Seismic data interpretation can be accelerated by reducing the size of the seismic images. Cropping, decimation, and resizing (decimation after averaging), are some well-known techniques to accomplish these goals. Rather than regularly removing certain rows and columns (decimation), or predefined groups of rows and columns (cropping) from the input image, seam carving (SC) discards the least informative regions of the input image while preserving its content. SC is a computer vision algorithm originally devised to resize natural images that, to our best knowledge, had not been applied to resize geophysical data previously. We propose to adopt SC to deliver smaller, yet representative, seismic images that contain the most relevant structures and textures of the original data with amplitude preservation. These reduced images can be used by seismic interpreters to cope with day-to-day Industry demands and deadlines since they can analyze the results of filters and seismic attributes with less computational resources and in shorter time frames. Essentially, SC relies on an energy operator and dynamic optimization to find the optimal pixel trajectories to carve from the input image iteratively until the desired image size is attained. We modify the original SC algorithm by using an energy operator based on the well-known Sobel magnitude that grants high reduction rates in both dimensions with minimum artifacts. We illustrate SC by means of a toy example and an image from the Moon’s surface. Then, the proposed method is applied to resize field seismic data that comprise two seismic sections and one seismic amplitude time-slice. The results demonstrate that SC, contrarily to decimation or conventional resizing, provides meaningful reduced seismic images that preserve the main features of the original data.
{"title":"Seismic Data Resizing Using Seam Carving","authors":"Julián L. Gómez, D. Velis","doi":"10.1109/RPIC53795.2021.9648524","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648524","url":null,"abstract":"Seismic data interpretation can be accelerated by reducing the size of the seismic images. Cropping, decimation, and resizing (decimation after averaging), are some well-known techniques to accomplish these goals. Rather than regularly removing certain rows and columns (decimation), or predefined groups of rows and columns (cropping) from the input image, seam carving (SC) discards the least informative regions of the input image while preserving its content. SC is a computer vision algorithm originally devised to resize natural images that, to our best knowledge, had not been applied to resize geophysical data previously. We propose to adopt SC to deliver smaller, yet representative, seismic images that contain the most relevant structures and textures of the original data with amplitude preservation. These reduced images can be used by seismic interpreters to cope with day-to-day Industry demands and deadlines since they can analyze the results of filters and seismic attributes with less computational resources and in shorter time frames. Essentially, SC relies on an energy operator and dynamic optimization to find the optimal pixel trajectories to carve from the input image iteratively until the desired image size is attained. We modify the original SC algorithm by using an energy operator based on the well-known Sobel magnitude that grants high reduction rates in both dimensions with minimum artifacts. We illustrate SC by means of a toy example and an image from the Moon’s surface. Then, the proposed method is applied to resize field seismic data that comprise two seismic sections and one seismic amplitude time-slice. The results demonstrate that SC, contrarily to decimation or conventional resizing, provides meaningful reduced seismic images that preserve the main features of the original data.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117025392","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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