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Autor Wang, Qian |
Documentos disponibles escritos por este autor (6)
Crear una solicitud de compra Refinar búsquedaAlgorithms and Architectures for Parallel Processing / Hu, Ting ; Wang, Feng ; Li, Hongwei ; Wang, Qian
TÃtulo : Algorithms and Architectures for Parallel Processing : ICA3PP 2018 International Workshops, Guangzhou, China, November 15-17, 2018, Proceedings Tipo de documento: documento electrónico Autores: Hu, Ting, ; Wang, Feng, ; Li, Hongwei, ; Wang, Qian, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: IX, 202 p. 94 ilustraciones, 48 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-05234-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Algoritmos Red de computadoras CriptografÃa Cifrado de datos (Informática) Protección de datos Software de la aplicacion Inteligencia artificial Redes de comunicación informática CriptologÃa Seguridad de datos e información Aplicaciones informáticas y de sistemas de información Clasificación: 518.1 Resumen: Este libro constituye las actas del taller de la 18.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2018, celebrada en Guangzhou, China, en noviembre de 2018. Los 24 artÃculos completos presentados fueron cuidadosamente seleccionados y revisados ​​a partir de numerosas presentaciones a los dos talleres siguientes. : - Taller ICA3PP 2018 sobre Algoritmos Inteligentes para Problemas de Optimización Complejos a Gran Escala - Taller ICA3PP 2018 sobre Seguridad y Privacidad en el Procesamiento de Datos. Tipo de medio : Computadora Summary : This book constitutes the workshop proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018. The 24 full papers presented were carefully selected and reviewed from numerous submissions to the two following workshops: - ICA3PP 2018 Workshop on Intelligent Algorithms for Large-scale Complex Optimization Problems - ICA3PP 2018 Workshop on Security and Privacy in Data Processing . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Algorithms and Architectures for Parallel Processing : ICA3PP 2018 International Workshops, Guangzhou, China, November 15-17, 2018, Proceedings [documento electrónico] / Hu, Ting, ; Wang, Feng, ; Li, Hongwei, ; Wang, Qian, . - 1 ed. . - [s.l.] : Springer, 2018 . - IX, 202 p. 94 ilustraciones, 48 ilustraciones en color.
ISBN : 978-3-030-05234-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Algoritmos Red de computadoras CriptografÃa Cifrado de datos (Informática) Protección de datos Software de la aplicacion Inteligencia artificial Redes de comunicación informática CriptologÃa Seguridad de datos e información Aplicaciones informáticas y de sistemas de información Clasificación: 518.1 Resumen: Este libro constituye las actas del taller de la 18.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2018, celebrada en Guangzhou, China, en noviembre de 2018. Los 24 artÃculos completos presentados fueron cuidadosamente seleccionados y revisados ​​a partir de numerosas presentaciones a los dos talleres siguientes. : - Taller ICA3PP 2018 sobre Algoritmos Inteligentes para Problemas de Optimización Complejos a Gran Escala - Taller ICA3PP 2018 sobre Seguridad y Privacidad en el Procesamiento de Datos. Tipo de medio : Computadora Summary : This book constitutes the workshop proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018. The 24 full papers presented were carefully selected and reviewed from numerous submissions to the two following workshops: - ICA3PP 2018 Workshop on Intelligent Algorithms for Large-scale Complex Optimization Problems - ICA3PP 2018 Workshop on Security and Privacy in Data Processing . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Chinese Philosophy of Technology : Classical Readings and Contemporary Work Tipo de documento: documento electrónico Autores: Wang, Qian, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2020 Número de páginas: VI, 234 p. 6 ilustraciones, 2 ilustraciones en color. ISBN/ISSN/DL: 978-981-1519529-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: TecnologÃa Innovaciones tecnológicas FilosofÃa Moderna Arquitectura FilosofÃa de la tecnologÃa Gestión de Innovación y TecnologÃa Estudios de ciencia y tecnologÃa Tradiciones filosóficas Ciudades PaÃses Regiones Clasificación: 601 Resumen: Este libro reúne ensayos que presentan los avances ideológicos en la filosofÃa de la ingenierÃa y la tecnologÃa en la China contemporánea. Se centra particularmente en los conceptos y métodos distintivos de China, revelando diferentes puntos de vista y debates académicos para ofrecer a los lectores una visión integral de este importante campo. Los colaboradores presentan perspectivas únicas basadas en problemas prácticos y filosofÃa tradicional, examinando cuestiones y conceptos como la axiologÃa y las teorÃas de procesos, la diferencia entre actividades de ingenierÃa y actividades tecnológicas, y el núcleo de la relación entre "Dao" y "Técnica". Otros ensayos cubren la ética de la tecnologÃa, la sabidurÃa práctica (phronesis) y el razonamiento práctico, asà como conceptos y métodos creativos relacionados con los problemas filosóficos de la alta tecnologÃa, la tecnologÃa arquitectónica y la innovación tecnológica. Los autores también consideran cuestiones más generales en este campo. Este libro recopila los logros de investigación relevantes de los académicos chinos en varios perÃodos de tiempo. Algunos autores han revisado y traducido al inglés artÃculos publicados en chino, mientras que otros presentan sus investigaciones en inglés especÃficamente para este estudio. Una bibliografÃa comentada de las principales publicaciones en el campo completa esta colección. Nota de contenido: Introduction -- A Brief Discussion of Research into Philosophy of Technology -- On the Features and Values of Chen Changshu's Philosophy of Technology Ideas -- Technology and Its Value from the Perspective of Process Theory -- Ethics of Technology and Engineers' Professional Ethics -- The Triad of Science, Technology, and Engineering -- Aesthetic Factors in Engineering Technical Activities -- The Sinicization of the Philosophy of Technology and the Research on Socialization of Technology -- Reflection on the Dao of Technology: Philosophy of Technology from the Perspective of Chinese Culture -- The Developing Process of Technological Rationality and Its Humanistic Relation -- Three Dimensions of Nano-ethics -- Technology, Innovation and the Life world: A Phenomenological Analysis -- Philosophy of Information Technology and Its Contemporary Value -- Approaches of Nano-ethics and the Chinese Perspective of Ethics of Technology -- Postscript. . Tipo de medio : Computadora Summary : This book gathers essays that introduce the ideological advances in the philosophy of engineering and technology in contemporary China. It particularly focuses on China's distinctive concepts and methods, revealing different views and academic debates to offer readers a comprehensive overview of this important field. The contributors present unique perspectives based on practical problems and traditional philosophy, examining such issues and concepts as axiology and theories of process, the difference between engineering activities and technology activities, and the core of the relationship between "Dao" and "Technique." Other essays cover the ethics of technology, practical wisdom (phronesis) and practical reasoning, as well as creative concepts and methods concerning the philosophical problems in high technology, architectural technology, and technological innovation. The authors also consider more general issues in the field. This book compiles the relevant research achievements of Chinese scholars in various time periods. Some authors have revised and translated into English papers published in Chinese, while others present their research in English specifically for this study. An annotated bibliography of the major publications in the field completes this collection. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Chinese Philosophy of Technology : Classical Readings and Contemporary Work [documento electrónico] / Wang, Qian, . - 1 ed. . - Singapore [Malasia] : Springer, 2020 . - VI, 234 p. 6 ilustraciones, 2 ilustraciones en color.
ISBN : 978-981-1519529--
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: TecnologÃa Innovaciones tecnológicas FilosofÃa Moderna Arquitectura FilosofÃa de la tecnologÃa Gestión de Innovación y TecnologÃa Estudios de ciencia y tecnologÃa Tradiciones filosóficas Ciudades PaÃses Regiones Clasificación: 601 Resumen: Este libro reúne ensayos que presentan los avances ideológicos en la filosofÃa de la ingenierÃa y la tecnologÃa en la China contemporánea. Se centra particularmente en los conceptos y métodos distintivos de China, revelando diferentes puntos de vista y debates académicos para ofrecer a los lectores una visión integral de este importante campo. Los colaboradores presentan perspectivas únicas basadas en problemas prácticos y filosofÃa tradicional, examinando cuestiones y conceptos como la axiologÃa y las teorÃas de procesos, la diferencia entre actividades de ingenierÃa y actividades tecnológicas, y el núcleo de la relación entre "Dao" y "Técnica". Otros ensayos cubren la ética de la tecnologÃa, la sabidurÃa práctica (phronesis) y el razonamiento práctico, asà como conceptos y métodos creativos relacionados con los problemas filosóficos de la alta tecnologÃa, la tecnologÃa arquitectónica y la innovación tecnológica. Los autores también consideran cuestiones más generales en este campo. Este libro recopila los logros de investigación relevantes de los académicos chinos en varios perÃodos de tiempo. Algunos autores han revisado y traducido al inglés artÃculos publicados en chino, mientras que otros presentan sus investigaciones en inglés especÃficamente para este estudio. Una bibliografÃa comentada de las principales publicaciones en el campo completa esta colección. Nota de contenido: Introduction -- A Brief Discussion of Research into Philosophy of Technology -- On the Features and Values of Chen Changshu's Philosophy of Technology Ideas -- Technology and Its Value from the Perspective of Process Theory -- Ethics of Technology and Engineers' Professional Ethics -- The Triad of Science, Technology, and Engineering -- Aesthetic Factors in Engineering Technical Activities -- The Sinicization of the Philosophy of Technology and the Research on Socialization of Technology -- Reflection on the Dao of Technology: Philosophy of Technology from the Perspective of Chinese Culture -- The Developing Process of Technological Rationality and Its Humanistic Relation -- Three Dimensions of Nano-ethics -- Technology, Innovation and the Life world: A Phenomenological Analysis -- Philosophy of Information Technology and Its Contemporary Value -- Approaches of Nano-ethics and the Chinese Perspective of Ethics of Technology -- Postscript. . Tipo de medio : Computadora Summary : This book gathers essays that introduce the ideological advances in the philosophy of engineering and technology in contemporary China. It particularly focuses on China's distinctive concepts and methods, revealing different views and academic debates to offer readers a comprehensive overview of this important field. The contributors present unique perspectives based on practical problems and traditional philosophy, examining such issues and concepts as axiology and theories of process, the difference between engineering activities and technology activities, and the core of the relationship between "Dao" and "Technique." Other essays cover the ethics of technology, practical wisdom (phronesis) and practical reasoning, as well as creative concepts and methods concerning the philosophical problems in high technology, architectural technology, and technological innovation. The authors also consider more general issues in the field. This book compiles the relevant research achievements of Chinese scholars in various time periods. Some authors have revised and translated into English papers published in Chinese, while others present their research in English specifically for this study. An annotated bibliography of the major publications in the field completes this collection. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data : First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings Tipo de documento: documento electrónico Autores: Wang, Qian, ; Milletari, Fausto, ; Nguyen, Hien V., ; Albarqouni, Shadi, ; Cardoso, M. Jorge, ; Rieke, Nicola, ; Xu, Ziyue, ; Kamnitsas, Konstantinos, ; Patel, Vishal, ; Roysam, Badri, ; Jiang, Steve, ; Zhou, Kevin, ; Luu, Khoa, ; Le, Ngan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XVII, 254 p. 113 ilustraciones, 79 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-33391-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Visión por computador Inteligencia artificial Informática Médica Informática de la Salud Clasificación: 006.37 Resumen: Este libro constituye las actas arbitradas del Primer Taller MICCAI sobre Adaptación de Dominio y Transferencia de Representación, DART 2019, y el Primer Taller Internacional sobre Aprendizaje de Imágenes Médicas con Menos Etiquetas y Datos Imperfectos, MIL3ID 2019, celebrado junto con MICCAI 2019, en Shenzhen, China, en octubre de 2019. DART 2019 aceptó 12 artÃculos para publicación de 18 presentaciones. Los artÃculos abordan avances metodológicos e ideas que pueden mejorar la aplicabilidad del aprendizaje automático y los enfoques de aprendizaje profundo en entornos clÃnicos haciéndolos sólidos y consistentes en diferentes dominios. MIL3ID aceptó 16 artÃculos de 43 enviados para publicación, que abordan las mejores prácticas en el aprendizaje de imágenes médicas con escasez de etiquetas e imperfección de datos. . Nota de contenido: DART 2019 -- Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation -- Temporal Consistency Objectives Regularize the Learning of Disentangled Representations -- Multi-layer Domain Adaptation for Deep Convolutional Networks -- Intramodality Domain Adaptation using Self Ensembling and Adversarial Training -- Learning Interpretable Disentangled Representations using Adversarial VAEs -- Synthesising Images and Labels Between MR Sequence Types With CycleGAN -- Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning -- Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans -- A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection -- Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images -- Improving Pathological Structure Segmentation Via Transfer Learning Across Diseases -- Generating Virtual Chromoendoscopic Imagesand Improving Detectability and Classification Performance of Endoscopic Lesions -- MIL3ID 2019 -- Self-supervised learning of inverse problem solvers in medical imaging -- Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation -- A Cascade Attention Network for Liver Lesion Classification in Weakly-labeled Multi-phase CT Images -- CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT -- Active Learning Technique for Multimodal Brain Tumor Segmentation using Limited Labeled Images -- Semi-supervised Learning of Fetal Anatomy from Ultrasound -- Multi-modal segmentation with missing MR sequences using pre-trained fusion networks -- More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation -- Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition -- A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation -- Transfer Learning from Partial Annotations for Whole Brain Segmentation -- Learning to Segment Skin Lesions from Noisy Annotations -- A Weakly Supervised Method for Instance Segmentation of Biological Cells -- Towards Practical Unsupervised Anomaly Detection on Retinal Images -- Fine tuning U-Net for ultrasound image segmentation: which layers -- Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. DART 2019 accepted 12 papers for publication out of 18 submissions. The papers deal with methodological advancements and ideas that can improve the applicability of machine learning and deep learning approaches to clinical settings by making them robust and consistent across different domains. MIL3ID accepted 16 papers out of 43 submissions for publication, dealing with best practices in medical image learning with label scarcity and data imperfection. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data : First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings [documento electrónico] / Wang, Qian, ; Milletari, Fausto, ; Nguyen, Hien V., ; Albarqouni, Shadi, ; Cardoso, M. Jorge, ; Rieke, Nicola, ; Xu, Ziyue, ; Kamnitsas, Konstantinos, ; Patel, Vishal, ; Roysam, Badri, ; Jiang, Steve, ; Zhou, Kevin, ; Luu, Khoa, ; Le, Ngan, . - 1 ed. . - [s.l.] : Springer, 2019 . - XVII, 254 p. 113 ilustraciones, 79 ilustraciones en color.
ISBN : 978-3-030-33391-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Visión por computador Inteligencia artificial Informática Médica Informática de la Salud Clasificación: 006.37 Resumen: Este libro constituye las actas arbitradas del Primer Taller MICCAI sobre Adaptación de Dominio y Transferencia de Representación, DART 2019, y el Primer Taller Internacional sobre Aprendizaje de Imágenes Médicas con Menos Etiquetas y Datos Imperfectos, MIL3ID 2019, celebrado junto con MICCAI 2019, en Shenzhen, China, en octubre de 2019. DART 2019 aceptó 12 artÃculos para publicación de 18 presentaciones. Los artÃculos abordan avances metodológicos e ideas que pueden mejorar la aplicabilidad del aprendizaje automático y los enfoques de aprendizaje profundo en entornos clÃnicos haciéndolos sólidos y consistentes en diferentes dominios. MIL3ID aceptó 16 artÃculos de 43 enviados para publicación, que abordan las mejores prácticas en el aprendizaje de imágenes médicas con escasez de etiquetas e imperfección de datos. . Nota de contenido: DART 2019 -- Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation -- Temporal Consistency Objectives Regularize the Learning of Disentangled Representations -- Multi-layer Domain Adaptation for Deep Convolutional Networks -- Intramodality Domain Adaptation using Self Ensembling and Adversarial Training -- Learning Interpretable Disentangled Representations using Adversarial VAEs -- Synthesising Images and Labels Between MR Sequence Types With CycleGAN -- Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning -- Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans -- A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection -- Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images -- Improving Pathological Structure Segmentation Via Transfer Learning Across Diseases -- Generating Virtual Chromoendoscopic Imagesand Improving Detectability and Classification Performance of Endoscopic Lesions -- MIL3ID 2019 -- Self-supervised learning of inverse problem solvers in medical imaging -- Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation -- A Cascade Attention Network for Liver Lesion Classification in Weakly-labeled Multi-phase CT Images -- CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT -- Active Learning Technique for Multimodal Brain Tumor Segmentation using Limited Labeled Images -- Semi-supervised Learning of Fetal Anatomy from Ultrasound -- Multi-modal segmentation with missing MR sequences using pre-trained fusion networks -- More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation -- Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition -- A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation -- Transfer Learning from Partial Annotations for Whole Brain Segmentation -- Learning to Segment Skin Lesions from Noisy Annotations -- A Weakly Supervised Method for Instance Segmentation of Biological Cells -- Towards Practical Unsupervised Anomaly Detection on Retinal Images -- Fine tuning U-Net for ultrasound image segmentation: which layers -- Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. DART 2019 accepted 12 papers for publication out of 18 submissions. The papers deal with methodological advancements and ideas that can improve the applicability of machine learning and deep learning approaches to clinical settings by making them robust and consistent across different domains. MIL3ID accepted 16 papers out of 43 submissions for publication, dealing with best practices in medical image learning with label scarcity and data imperfection. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Electrical Design of a 400 kV Composite Tower Tipo de documento: documento electrónico Autores: Jahangiri, Tohid, ; Wang, Qian, ; da Silva, Filipe Faria, ; Leth Bak, Claus, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XI, 249 p. 159 ilustraciones, 131 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-17843-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Electric power production Materiales cerámicos IngenierÃa de EnergÃa Eléctrica IngenierÃa Mecánica Energética Cerámica Clasificación: 621.31 Resumen: Este libro presenta un concepto innovador para el diseño de una torre compuesta de doble circuito de 400 kV. Se abordan los principales desafÃos encontrados por los autores en el proceso de diseño eléctrico de la torre compuesta. Se refieren a la selección de materiales para el núcleo del brazo transversal totalmente compuesto, el aislamiento eléctrico del brazo transversal, el dimensionamiento eléctrico de la torre totalmente compuesta, el rendimiento del blindaje contra rayos y los fallos de la torre totalmente compuesta. El comportamiento del campo eléctrico del aislamiento de la torre se ha investigado teóricamente utilizando el método de elementos finitos y experimentalmente probando diferentes polÃmeros reforzados con fibras como candidatos. El libro informa en detalle esas simulaciones y pruebas de elementos finitos, junto con las recomendaciones de los autores sobre los materiales y el proceso de fabricación más adecuados, asà como los diseños de abrazaderas de conductores para la cruceta. También se ha evaluado otra cuestión importante de la torre totalmente compuesta, que se refiere a los aspectos medioambientales de la torre totalmente compuesta. Este libro ofrece una guÃa de referencia oportuna sobre un tema altamente innovador, dirigida a investigadores que trabajan en sistemas de transmisión de energÃa tanto en la industria como en el mundo académico. Nota de contenido: Introduction -- Fiber Reinforced Plasctic (FRP) composite selection for the composite cross-arm core -- Air clearances of fully composite pylon -- Electrical design of fully composite pylon -- Electric field verification by high voltage experiments on the composite cross-arm -- Lightning shielding performance of fully composite pylon -- Lightning shielding failure investigation by high voltage experiments -- Environmental effects of fully composite pylon. Tipo de medio : Computadora Summary : This book presents an innovative concept for designing a 400 kV double circuit composite tower. The major challenges encountered by the authors in the electrical design process of the composite tower are addressed. They concern material selection for the full composite cross-arm core, electrical insulation of the cross-arm, electrical dimensioning of the full composite tower, lightning shielding performance and failure of the full composite tower. The electric field performance of the tower's insulation has been investigated theoretically by using finite element method and experimentally by testing different fiber reinforced polymers as candidates. The book reports in detail those finite element simulations and tests, together with the authors' recommendations on the most suitable materials and manufacturing process as well as conductor clamp designs for the cross-arm. Another important issue of the full composite tower, which concerns the environmental aspects of the full compositetower, has also been evaluated. This book offers a timely reference guide on a highly innovative topic, addressing researchers working on power transmission system both in industry and academia. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Electrical Design of a 400 kV Composite Tower [documento electrónico] / Jahangiri, Tohid, ; Wang, Qian, ; da Silva, Filipe Faria, ; Leth Bak, Claus, . - 1 ed. . - [s.l.] : Springer, 2020 . - XI, 249 p. 159 ilustraciones, 131 ilustraciones en color.
ISBN : 978-3-030-17843-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Electric power production Materiales cerámicos IngenierÃa de EnergÃa Eléctrica IngenierÃa Mecánica Energética Cerámica Clasificación: 621.31 Resumen: Este libro presenta un concepto innovador para el diseño de una torre compuesta de doble circuito de 400 kV. Se abordan los principales desafÃos encontrados por los autores en el proceso de diseño eléctrico de la torre compuesta. Se refieren a la selección de materiales para el núcleo del brazo transversal totalmente compuesto, el aislamiento eléctrico del brazo transversal, el dimensionamiento eléctrico de la torre totalmente compuesta, el rendimiento del blindaje contra rayos y los fallos de la torre totalmente compuesta. El comportamiento del campo eléctrico del aislamiento de la torre se ha investigado teóricamente utilizando el método de elementos finitos y experimentalmente probando diferentes polÃmeros reforzados con fibras como candidatos. El libro informa en detalle esas simulaciones y pruebas de elementos finitos, junto con las recomendaciones de los autores sobre los materiales y el proceso de fabricación más adecuados, asà como los diseños de abrazaderas de conductores para la cruceta. También se ha evaluado otra cuestión importante de la torre totalmente compuesta, que se refiere a los aspectos medioambientales de la torre totalmente compuesta. Este libro ofrece una guÃa de referencia oportuna sobre un tema altamente innovador, dirigida a investigadores que trabajan en sistemas de transmisión de energÃa tanto en la industria como en el mundo académico. Nota de contenido: Introduction -- Fiber Reinforced Plasctic (FRP) composite selection for the composite cross-arm core -- Air clearances of fully composite pylon -- Electrical design of fully composite pylon -- Electric field verification by high voltage experiments on the composite cross-arm -- Lightning shielding performance of fully composite pylon -- Lightning shielding failure investigation by high voltage experiments -- Environmental effects of fully composite pylon. Tipo de medio : Computadora Summary : This book presents an innovative concept for designing a 400 kV double circuit composite tower. The major challenges encountered by the authors in the electrical design process of the composite tower are addressed. They concern material selection for the full composite cross-arm core, electrical insulation of the cross-arm, electrical dimensioning of the full composite tower, lightning shielding performance and failure of the full composite tower. The electric field performance of the tower's insulation has been investigated theoretically by using finite element method and experimentally by testing different fiber reinforced polymers as candidates. The book reports in detail those finite element simulations and tests, together with the authors' recommendations on the most suitable materials and manufacturing process as well as conductor clamp designs for the cross-arm. Another important issue of the full composite tower, which concerns the environmental aspects of the full compositetower, has also been evaluated. This book offers a timely reference guide on a highly innovative topic, addressing researchers working on power transmission system both in industry and academia. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Machine Learning in Medical Imaging : 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings Tipo de documento: documento electrónico Autores: Wang, Qian, ; Shi, Yinghuan, ; Suk, Heung-Il, ; Suzuki, Kenji, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XV, 391 p. 134 ilustraciones ISBN/ISSN/DL: 978-3-319-67389-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Visión por computador IngenierÃa de software Informática Médica Procesamiento de datos Inteligencia artificial Informática de la Salud MinerÃa de datos y descubrimiento de conocimientos Clasificación: 006.37 Resumen: Este libro constituye las actas arbitradas del 8º Taller Internacional sobre Aprendizaje Automático en Imágenes Médicas, MLMI 2017, celebrado junto con MICCAI 2017, en la ciudad de Quebec, QC, Canadá, en septiembre de 2017. Los 44 artÃculos completos presentados en este volumen fueron cuidadosamente revisado y seleccionado entre 63 presentaciones. El objetivo principal de este taller es ayudar a avanzar en la investigación cientÃfica dentro del amplio campo del aprendizaje automático en imágenes médicas. El taller se centra en las principales tendencias y desafÃos en esta área, y presenta trabajos destinados a identificar nuevas técnicas de vanguardia y su uso en imágenes médicas. Nota de contenido: From Large to Small Organ Segmentation in CT Using Regional Context -- Motion Corruption Detection in Breast DCE-MRI -- Detection and Localization of Drosophila Egg Chambers in Microscopy Images -- Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-specific Coronary Calcium Scoring -- Atlas of Classifiers for Brain MRI Segmentation -- Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis -- Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease -- Multi-Factorial Age Estimation from Skeletal and Dental MRI Volumes -- Automatic Classification of Proximal Femur Fractures Based on Attention Models -- Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation -- Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble -- STAR: Spatio-Temporal Architecture for Super-Resolution inLow-Dose CT Perfusion -- Classification of Alzheimer's Disease by Cascaded Convolutional Neural Networks Using PET Images -- Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images -- Multi-Scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base -- Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-Status Dementia Diagnosis -- 3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels -- Efficient Groupwise Registration for Brain MRI by Fast Initialization -- Sparse Multi-View Task-centralized Learning for ASD Diagnosis -- Inter-Subject Similarity Guided Brain Network Modelling for MCI Diagnosis -- Scalable and Fault Tolerant Platform for Distributed Learning on Private Medical Data -- Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic Images -- Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity -- Gradient Boosted Trees for Corrective Learning -- Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis -- A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling -- Collage CNN for Renal Cell Carcinoma Detection from CT -- Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images -- Localizing Cardiac Structures in Fetal Heart Ultrasound Video -- Deformable Registration Through Learning of Context-Specific Metric Aggregation -- Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-learning Based Cascade Framework -- 3D U-net with Multi-Level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images -- Indecisive Trees for Classification and Prediction of Knee Osteoarthritis -- Whole Brain Segmentation and Labeling from CT using synthetic MR Images -- Structural Connectivity Guided SparseEffective Connectivity for MCI Identification -- Fusion of High-order and Low-order Effective Connectivity Networks for MCI Classification -- Novel Effective Connectivity Network Inference for MCI Identification -- Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network -- Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images -- Deep-Fext: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction -- Product Space Decompositions for Continuous Representations of Brain Connectivity -- Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks -- Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging -- Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Machine Learning in Medical Imaging : 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings [documento electrónico] / Wang, Qian, ; Shi, Yinghuan, ; Suk, Heung-Il, ; Suzuki, Kenji, . - 1 ed. . - [s.l.] : Springer, 2017 . - XV, 391 p. 134 ilustraciones.
ISBN : 978-3-319-67389-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Visión por computador IngenierÃa de software Informática Médica Procesamiento de datos Inteligencia artificial Informática de la Salud MinerÃa de datos y descubrimiento de conocimientos Clasificación: 006.37 Resumen: Este libro constituye las actas arbitradas del 8º Taller Internacional sobre Aprendizaje Automático en Imágenes Médicas, MLMI 2017, celebrado junto con MICCAI 2017, en la ciudad de Quebec, QC, Canadá, en septiembre de 2017. Los 44 artÃculos completos presentados en este volumen fueron cuidadosamente revisado y seleccionado entre 63 presentaciones. El objetivo principal de este taller es ayudar a avanzar en la investigación cientÃfica dentro del amplio campo del aprendizaje automático en imágenes médicas. El taller se centra en las principales tendencias y desafÃos en esta área, y presenta trabajos destinados a identificar nuevas técnicas de vanguardia y su uso en imágenes médicas. Nota de contenido: From Large to Small Organ Segmentation in CT Using Regional Context -- Motion Corruption Detection in Breast DCE-MRI -- Detection and Localization of Drosophila Egg Chambers in Microscopy Images -- Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-specific Coronary Calcium Scoring -- Atlas of Classifiers for Brain MRI Segmentation -- Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis -- Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease -- Multi-Factorial Age Estimation from Skeletal and Dental MRI Volumes -- Automatic Classification of Proximal Femur Fractures Based on Attention Models -- Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation -- Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble -- STAR: Spatio-Temporal Architecture for Super-Resolution inLow-Dose CT Perfusion -- Classification of Alzheimer's Disease by Cascaded Convolutional Neural Networks Using PET Images -- Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images -- Multi-Scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base -- Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-Status Dementia Diagnosis -- 3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels -- Efficient Groupwise Registration for Brain MRI by Fast Initialization -- Sparse Multi-View Task-centralized Learning for ASD Diagnosis -- Inter-Subject Similarity Guided Brain Network Modelling for MCI Diagnosis -- Scalable and Fault Tolerant Platform for Distributed Learning on Private Medical Data -- Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic Images -- Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity -- Gradient Boosted Trees for Corrective Learning -- Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis -- A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling -- Collage CNN for Renal Cell Carcinoma Detection from CT -- Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images -- Localizing Cardiac Structures in Fetal Heart Ultrasound Video -- Deformable Registration Through Learning of Context-Specific Metric Aggregation -- Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-learning Based Cascade Framework -- 3D U-net with Multi-Level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images -- Indecisive Trees for Classification and Prediction of Knee Osteoarthritis -- Whole Brain Segmentation and Labeling from CT using synthetic MR Images -- Structural Connectivity Guided SparseEffective Connectivity for MCI Identification -- Fusion of High-order and Low-order Effective Connectivity Networks for MCI Classification -- Novel Effective Connectivity Network Inference for MCI Identification -- Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network -- Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images -- Deep-Fext: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction -- Product Space Decompositions for Continuous Representations of Brain Connectivity -- Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks -- Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging -- Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
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