Pub Date : 1900-01-01DOI: 10.7476/9789978104910.0009
Fabián Narváez
Correct mammography assessment and interpretation demands great expertise of radiologist observer and depends directly on a suitable visual analysis of mammographic findings and their correlation with radiographic features extracted from different mammographic views. In this paper, an automatic classification scheme for mammographic nodules contained on Regions of Interest (ROIs) is presented, which is based on an information fusion approach by using RoIs extracted from two different mammographic views of the same breast, a Mediolateral Oblique (MLO) view and a craniocaudal (CC) view, respectively. Once the expert radiologist selects a RoI from the two mammographic projections, those are characterized by using a multiresolution and multiscale decomposition approaches. For doing so, each RoI is projected into two different spaces defined by Zernike moments and Curvelet transform, respectively. Finally, this extracted heterogeneous information is optimally fused by using a Multiple Kernel Learning strategy based on Support vector machine scheme. The performance of the herein proposed strategy, for classifying benign and malignant nodules, was evaluated respect to the classical mammographic analysis based on only mammographic view, for which a set of 980 ROIs extracted from 490 cases and other set of 216 RoI extracted from 108 cases, which were extracted from DDSM and INBreast databases, respectively. The obtained results reported a sensitivity of 98.3% and a specificity of 94.5% respect to 96.2% and 93.1% of sensibility and specificity, respectively, and obtained by the analysis based on an only mammographic view. These results suggest that the herein proposed strategy could be useful in real clinic scenarios and could be contributing to the training of new radiologists.
{"title":"Clasificación automática de nódulos mamográficos basada en fusión de información visual multi-vista","authors":"Fabián Narváez","doi":"10.7476/9789978104910.0009","DOIUrl":"https://doi.org/10.7476/9789978104910.0009","url":null,"abstract":"Correct mammography assessment and interpretation demands great expertise of radiologist observer and depends directly on a suitable visual analysis of mammographic findings and their correlation with radiographic features extracted from different mammographic views. In this paper, an automatic classification scheme for mammographic nodules contained on Regions of Interest (ROIs) is presented, which is based on an information fusion approach by using RoIs extracted from two different mammographic views of the same breast, a Mediolateral Oblique (MLO) view and a craniocaudal (CC) view, respectively. Once the expert radiologist selects a RoI from the two mammographic projections, those are characterized by using a multiresolution and multiscale decomposition approaches. For doing so, each RoI is projected into two different spaces defined by Zernike moments and Curvelet transform, respectively. Finally, this extracted heterogeneous information is optimally fused by using a Multiple Kernel Learning strategy based on Support vector machine scheme. The performance of the herein proposed strategy, for classifying benign and malignant nodules, was evaluated respect to the classical mammographic analysis based on only mammographic view, for which a set of 980 ROIs extracted from 490 cases and other set of 216 RoI extracted from 108 cases, which were extracted from DDSM and INBreast databases, respectively. The obtained results reported a sensitivity of 98.3% and a specificity of 94.5% respect to 96.2% and 93.1% of sensibility and specificity, respectively, and obtained by the analysis based on an only mammographic view. These results suggest that the herein proposed strategy could be useful in real clinic scenarios and could be contributing to the training of new radiologists.","PeriodicalId":319580,"journal":{"name":"Aplicaciones e innovación de la ingeniería en ciencia y tecnología","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128209328","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 : 1900-01-01DOI: 10.7476/9789978104910.0007
Julio Proaño Orellana, María Blanca Caminero, Carmen Carrión
The efficient use of resources in cloud computing environments is one of the many topics that have attracted many scientists in recent years. Today there is a wide variety of computing resources available in Cloud Computing infrastructures, such as multi-core CPUs, GPUs and FPGAs. In particular, accelerator-based architectures using FPGAs can provide Julio Proaño Orellana, María Blanca Caminer y Carmen Carrión 166 Diseño de una arquitectura heterogénea para la gestión eficiente de recursos FPGA en un cloud privado significant business value in Cloud environments. FPGA devices offer better performance due to their high processing capacity with predictable latency and low power consumption. However, the management of these resources in a Cloud environment is not trivial. In this work, an architecture designed to integrate FPGAs as accelerators in a private Cloud is presented. The proposal takes into account quality of service (QoS) requirements. Thus, the QoS indicators are related to the requirements of the users. The proposed architecture seeks the right combination between CPUs and FPGAs in a Cloud environment.
云计算环境中资源的高效利用是近年来吸引众多科学家的课题之一。今天，在云计算基础设施中有各种各样的计算资源可用，例如多核cpu、gpu和fpga。特别是，使用FPGA的基于加速器的架构可以为Julio Proaño Orellana, María Blanca Caminer y Carmen Carrión 166 Diseño de una arquitectura heterognea para la gestión高效的递归FPGA和云私有在云环境中的显著商业价值。FPGA器件由于具有高处理能力、可预测的延迟和低功耗而提供更好的性能。然而，在云环境中管理这些资源并非易事。在这项工作中，提出了一种旨在将fpga集成为私有云中的加速器的架构。该建议考虑了服务质量(QoS)要求。因此，QoS指标与用户的需求有关。提出的架构寻求在云环境中cpu和fpga之间的正确组合。
{"title":"Diseño de una arquitectura heterogénea para la gestión eficiente de recursos FPGA en un cloud privado","authors":"Julio Proaño Orellana, María Blanca Caminero, Carmen Carrión","doi":"10.7476/9789978104910.0007","DOIUrl":"https://doi.org/10.7476/9789978104910.0007","url":null,"abstract":"The efficient use of resources in cloud computing environments is one of the many topics that have attracted many scientists in recent years. Today there is a wide variety of computing resources available in Cloud Computing infrastructures, such as multi-core CPUs, GPUs and FPGAs. In particular, accelerator-based architectures using FPGAs can provide Julio Proaño Orellana, María Blanca Caminer y Carmen Carrión 166 Diseño de una arquitectura heterogénea para la gestión eficiente de recursos FPGA en un cloud privado significant business value in Cloud environments. FPGA devices offer better performance due to their high processing capacity with predictable latency and low power consumption. However, the management of these resources in a Cloud environment is not trivial. In this work, an architecture designed to integrate FPGAs as accelerators in a private Cloud is presented. The proposal takes into account quality of service (QoS) requirements. Thus, the QoS indicators are related to the requirements of the users. The proposed architecture seeks the right combination between CPUs and FPGAs in a Cloud environment.","PeriodicalId":319580,"journal":{"name":"Aplicaciones e innovación de la ingeniería en ciencia y tecnología","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114909339","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 : 1900-01-01DOI: 10.7476/9789978104910.0008
G. Arévalo, Roberto Gaudino
{"title":"Despliegue óptimo de redes PON, usando mapas reales, para un gran número de usuarios con diversas demandas de ancho de banda","authors":"G. Arévalo, Roberto Gaudino","doi":"10.7476/9789978104910.0008","DOIUrl":"https://doi.org/10.7476/9789978104910.0008","url":null,"abstract":"","PeriodicalId":319580,"journal":{"name":"Aplicaciones e innovación de la ingeniería en ciencia y tecnología","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129142548","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 : 1900-01-01DOI: 10.7476/9789978104910.0001
Esteban Mauricio Inga Ortega
{"title":"Prólogo","authors":"Esteban Mauricio Inga Ortega","doi":"10.7476/9789978104910.0001","DOIUrl":"https://doi.org/10.7476/9789978104910.0001","url":null,"abstract":"","PeriodicalId":319580,"journal":{"name":"Aplicaciones e innovación de la ingeniería en ciencia y tecnología","volume":"61 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114420609","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 : 1900-01-01DOI: 10.7476/9789978104910.0004
Ramón Pérez, Carmen Vásquez, A. Viloria
The location of faults in the electrical systems, especially in distribution, is a problem that affects not only the users, but also the companies providing the electric service; with more time invested in this period, the losses due to the unbilled energy and the inconvenience in the users are increased, decreasing the quality of the service. The causes for which this time is increased are different, among them the confusion that could exist in the location systems that act under the presence of sources of distributed generation in the distribution networks. In this sense, the present investigation shows a revision of the methods used for the location of faults in electrical distribution systems that have presence of sources of distributed generation. The main characteristics of the methods are studied and their most recent applications to deal with this problem.
{"title":"Métodos de localización de fallas en sistemas eléctricos de distribución con presencia de generación distribuida","authors":"Ramón Pérez, Carmen Vásquez, A. Viloria","doi":"10.7476/9789978104910.0004","DOIUrl":"https://doi.org/10.7476/9789978104910.0004","url":null,"abstract":"The location of faults in the electrical systems, especially in distribution, is a problem that affects not only the users, but also the companies providing the electric service; with more time invested in this period, the losses due to the unbilled energy and the inconvenience in the users are increased, decreasing the quality of the service. The causes for which this time is increased are different, among them the confusion that could exist in the location systems that act under the presence of sources of distributed generation in the distribution networks. In this sense, the present investigation shows a revision of the methods used for the location of faults in electrical distribution systems that have presence of sources of distributed generation. The main characteristics of the methods are studied and their most recent applications to deal with this problem.","PeriodicalId":319580,"journal":{"name":"Aplicaciones e innovación de la ingeniería en ciencia y tecnología","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125629207","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 : 1900-01-01DOI: 10.7476/9789978104910.0005
Christian Domínguez, P. Echeverría, M. Villacís, S. Violette
The term “smart cities” is usually associate to the use of information technologies in a city infrastructure. Nevertheless, the use of natural resources, such as water, is an important aspect to satisfy the inhabitants necessities. In this sense, techniques to supply water must be sustainable and environmentally friendly, which is the case of fog water collection. In this study, we present a methodology to quantify fog water intercepted by a fog gauge system and to assess its potential as a source of water supply. This methodology is tested in an experimental site located at the highlands of San Cristobal Island (Galapagos), which included two months monitoring of the main meteorological variables and fog interception. Three fog gauges were used to quantify fog interception, a cylindrical (CFC) and two standards of 35% (SFC35) and 50% (SFC50) shading coefficient, respectively. Given that fog gauge collectors capture both fog and rainfall, we used a geometrical model to separate both variables. Results show that collectors’ CFC, SFC35 and SFC50 have an average performance of 3.7, 4.1 and 4.8 mm/day, respectively. SFC50 collector presents the best performance which can be related to its relative higher aerodynamic efficiency. The analysis of the meteorological variables evidences that fog water collection potential can be even higher at this site.
{"title":"Evaluación de la cosecha de neblina como una fuente potencial para el aprovechamiento de agua","authors":"Christian Domínguez, P. Echeverría, M. Villacís, S. Violette","doi":"10.7476/9789978104910.0005","DOIUrl":"https://doi.org/10.7476/9789978104910.0005","url":null,"abstract":"The term “smart cities” is usually associate to the use of information technologies in a city infrastructure. Nevertheless, the use of natural resources, such as water, is an important aspect to satisfy the inhabitants necessities. In this sense, techniques to supply water must be sustainable and environmentally friendly, which is the case of fog water collection. In this study, we present a methodology to quantify fog water intercepted by a fog gauge system and to assess its potential as a source of water supply. This methodology is tested in an experimental site located at the highlands of San Cristobal Island (Galapagos), which included two months monitoring of the main meteorological variables and fog interception. Three fog gauges were used to quantify fog interception, a cylindrical (CFC) and two standards of 35% (SFC35) and 50% (SFC50) shading coefficient, respectively. Given that fog gauge collectors capture both fog and rainfall, we used a geometrical model to separate both variables. Results show that collectors’ CFC, SFC35 and SFC50 have an average performance of 3.7, 4.1 and 4.8 mm/day, respectively. SFC50 collector presents the best performance which can be related to its relative higher aerodynamic efficiency. The analysis of the meteorological variables evidences that fog water collection potential can be even higher at this site.","PeriodicalId":319580,"journal":{"name":"Aplicaciones e innovación de la ingeniería en ciencia y tecnología","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124747731","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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