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TÃtulo : Cognitive Systems and Signal Processing : 5th International Conference, ICCSIP 2020, Zhuhai, China, December 25–27, 2020, Revised Selected Papers / Tipo de documento: documento electrónico Autores: Sun, Fuchun, ; Liu, Huaping, ; Fang, Bin, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2021 Número de páginas: XVI, 635 p. 366 ilustraciones, 284 ilustraciones en color. ISBN/ISSN/DL: 978-981-1623363-- 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: Inteligencia artificial Red de computadoras Ciencias sociales IngenierÃa Informática Procesamiento de imágenes Visión por computador Redes de comunicación informática Aplicación informática en ciencias sociales y del comportamiento. IngenierÃa Informática y Redes Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 006.3 Resumen: Este libro constituye las actas posteriores a la conferencia arbitradas de la Quinta Conferencia Internacional sobre Sistemas Cognitivos y Procesamiento de Señales, ICCSIP 2020, celebrada en Zhuhai, China, en diciembre de 2020. Los 59 artÃculos revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados entre 120 presentaciones. Los artÃculos están organizados en secciones temáticas sobre algoritmos; solicitud; manipulación; bioinformática; visión; y vehÃculos autónomos. Nota de contenido: Award -- Quantized Separable Residual Network for Facial Expression Recognition on FPGA -- Hole-peg Assembly Strategy Based On Deep Reinforcement Learning -- EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections -- Fast barcode detection method based on ThinYOLOv4 -- The Realtime Indoor Localization for Unmanned Aerial Vehicle -- Algorithm -- L1-norm and Trace Lasso based Locality Correlation Projection -- Episodic Training for Domain Generalization Using Latent Domains -- A Novel Attitude Estimation Algorithm Based on EKF-LSTM Fusion Model -- METAHACI: Meta-learning for Human Activity Classification from IMU Data -- Fusing Knowledge and Experience with Graph Convolutional Network for Cross-task Learning in Visual Cognitive Development -- Factored Trace Lasso based Linear Regression Methods: Optimizations and Applications -- Path Planning and Simulation Based on Cumulative Error Estimation -- MIMF: Mutual Information-driven Multimodal Fusion -- Application -- Spatial Information Extraction of Panax Notoginseng Fields Using Multi-algorithm and Multi-sample Strategy-based Remote Sensing Techniques -- Application of Convolution BLS in AI Face-changing Problem -- Cognitive Calculation Studied for Smart System to Lead Water Resources Management -- A Robotic Arm Aided Writing Learning Companion for Children -- Design and Implement of Omnidirectional Mobile Robot Platform with Remote Visual Control -- AG-DPSO: Landing Position Planning Method for Multi-node Deep Space Explorer -- A New Paralleled Semi-supervised Deep Learning for Remaining Useful Life Prediction -- Balancing Task Allocation in Multi-robot Systems using AdpK-means Clustering Algorithm -- Reinforcement Learning for Extreme Multi-label Text Classification -- Manipulation -- Multimodal Object Analysis with Auditory and Tactile Sensing using Recurrent Neural Networks -- A Novel Pose Estimation Method of Object in Robotic Manipulation using Vision-based Tactile Sensor -- Design and Implementation of pneumatic soft gripper with suction and grasp composite structure -- Movement Primitive Libraries Learning for Industrial Manipulation Tasks -- Guided Deep Reinforcement Learning for Path Planning of Robotic Manipulators -- Large-scale multi-agent reinforcement learning based on weighted mean field -- Selective Transition Collection in Experience Replay -- Design and Grasping Experiments of Soft Humanoid Hand with Variable Stiffness -- Bioinformatics -- Prediction the age of human brains from gene expression -- Deep LSTM Transfer Learning for Personalized ECG Anomaly Detection on Wearable Devices -- Reflection on AI: The cognitive difference between libraries and scientists -- A Review of Research on Brain-Computer Interface Based on Imagined Speech -- A Survey of Multimodal Human-Machine Interface -- A Logistic Regression Based Framework for Spatio-temporal Feature Representation and Classiï¬cation of Single-trial EEG -- Biometric Traits Share Patterns -- Cervical Cell Detection Benchmark with Effective Feature Representation -- Vision A -- Image Fusion for Improving Thermal Human Face Image Recognition -- Automatic Leaf Recognition Based on Attention DenseNet -- Semantic Segmentation for Evaluation of Defects on Smartphone Screens -- Image Clipping Strategy of Object Detection for Super Resolution Image in Low Resource Environment -- Image Quality Assessment with Local Contrast Estimator -- Application of Broad learning system for image classification based on deep features -- Emotion Recognition Based on Graph Neural Networks -- A Light-Weight Stereo Matching Network with Color Guidance Refinement -- Vision B -- Overview of Monocular Depth Estimation Based on Deep Learning -- Non-contact physiological parameters detection based on MTCNN and EVM -- Texture Classification of a Miniature Whisker Sensor with Varied Contact Pose -- Semantic-based Road Segmentation for High-Definition Map Construction -- Transformer Region Proposal for Object Detection -- A Feature Fusion based Object Tracking Algorithm -- Detection and Reconstruction of Transparent Objects with Infrared Projection-based RGB-D Cameras -- Autonomous Vehicles -- A Simulation-to-Real Autonomous Driving System Based on End-to-End Learning -- Underwater SLAM Based On Forward-Looking Sonar -- Robust Visual Odometry Using Semantic Information in Complex Dynamic Scenes -- A Multi-Sensor Data Fusion Method based on Improved XGBoost Model for AGV Localization -- Multi UAV Target Tracking based on the Vision and Communication Information -- An Accurate Positioning Method for Robotic Manipulation Based on Vision and Tactile Sensors. Tipo de medio : Computadora Summary : This book constitutes the refereed post-conference proceedings of the 5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020, held in Zhuhai, China, in December 2020. The 59 revised papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on algorithm; application; manipulation; bioinformatics; vision; and autonomous vehicles. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Cognitive Systems and Signal Processing : 5th International Conference, ICCSIP 2020, Zhuhai, China, December 25–27, 2020, Revised Selected Papers / [documento electrónico] / Sun, Fuchun, ; Liu, Huaping, ; Fang, Bin, . - 1 ed. . - Singapore [Malasia] : Springer, 2021 . - XVI, 635 p. 366 ilustraciones, 284 ilustraciones en color.
ISBN : 978-981-1623363--
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: Inteligencia artificial Red de computadoras Ciencias sociales IngenierÃa Informática Procesamiento de imágenes Visión por computador Redes de comunicación informática Aplicación informática en ciencias sociales y del comportamiento. IngenierÃa Informática y Redes Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 006.3 Resumen: Este libro constituye las actas posteriores a la conferencia arbitradas de la Quinta Conferencia Internacional sobre Sistemas Cognitivos y Procesamiento de Señales, ICCSIP 2020, celebrada en Zhuhai, China, en diciembre de 2020. Los 59 artÃculos revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados entre 120 presentaciones. Los artÃculos están organizados en secciones temáticas sobre algoritmos; solicitud; manipulación; bioinformática; visión; y vehÃculos autónomos. Nota de contenido: Award -- Quantized Separable Residual Network for Facial Expression Recognition on FPGA -- Hole-peg Assembly Strategy Based On Deep Reinforcement Learning -- EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections -- Fast barcode detection method based on ThinYOLOv4 -- The Realtime Indoor Localization for Unmanned Aerial Vehicle -- Algorithm -- L1-norm and Trace Lasso based Locality Correlation Projection -- Episodic Training for Domain Generalization Using Latent Domains -- A Novel Attitude Estimation Algorithm Based on EKF-LSTM Fusion Model -- METAHACI: Meta-learning for Human Activity Classification from IMU Data -- Fusing Knowledge and Experience with Graph Convolutional Network for Cross-task Learning in Visual Cognitive Development -- Factored Trace Lasso based Linear Regression Methods: Optimizations and Applications -- Path Planning and Simulation Based on Cumulative Error Estimation -- MIMF: Mutual Information-driven Multimodal Fusion -- Application -- Spatial Information Extraction of Panax Notoginseng Fields Using Multi-algorithm and Multi-sample Strategy-based Remote Sensing Techniques -- Application of Convolution BLS in AI Face-changing Problem -- Cognitive Calculation Studied for Smart System to Lead Water Resources Management -- A Robotic Arm Aided Writing Learning Companion for Children -- Design and Implement of Omnidirectional Mobile Robot Platform with Remote Visual Control -- AG-DPSO: Landing Position Planning Method for Multi-node Deep Space Explorer -- A New Paralleled Semi-supervised Deep Learning for Remaining Useful Life Prediction -- Balancing Task Allocation in Multi-robot Systems using AdpK-means Clustering Algorithm -- Reinforcement Learning for Extreme Multi-label Text Classification -- Manipulation -- Multimodal Object Analysis with Auditory and Tactile Sensing using Recurrent Neural Networks -- A Novel Pose Estimation Method of Object in Robotic Manipulation using Vision-based Tactile Sensor -- Design and Implementation of pneumatic soft gripper with suction and grasp composite structure -- Movement Primitive Libraries Learning for Industrial Manipulation Tasks -- Guided Deep Reinforcement Learning for Path Planning of Robotic Manipulators -- Large-scale multi-agent reinforcement learning based on weighted mean field -- Selective Transition Collection in Experience Replay -- Design and Grasping Experiments of Soft Humanoid Hand with Variable Stiffness -- Bioinformatics -- Prediction the age of human brains from gene expression -- Deep LSTM Transfer Learning for Personalized ECG Anomaly Detection on Wearable Devices -- Reflection on AI: The cognitive difference between libraries and scientists -- A Review of Research on Brain-Computer Interface Based on Imagined Speech -- A Survey of Multimodal Human-Machine Interface -- A Logistic Regression Based Framework for Spatio-temporal Feature Representation and Classiï¬cation of Single-trial EEG -- Biometric Traits Share Patterns -- Cervical Cell Detection Benchmark with Effective Feature Representation -- Vision A -- Image Fusion for Improving Thermal Human Face Image Recognition -- Automatic Leaf Recognition Based on Attention DenseNet -- Semantic Segmentation for Evaluation of Defects on Smartphone Screens -- Image Clipping Strategy of Object Detection for Super Resolution Image in Low Resource Environment -- Image Quality Assessment with Local Contrast Estimator -- Application of Broad learning system for image classification based on deep features -- Emotion Recognition Based on Graph Neural Networks -- A Light-Weight Stereo Matching Network with Color Guidance Refinement -- Vision B -- Overview of Monocular Depth Estimation Based on Deep Learning -- Non-contact physiological parameters detection based on MTCNN and EVM -- Texture Classification of a Miniature Whisker Sensor with Varied Contact Pose -- Semantic-based Road Segmentation for High-Definition Map Construction -- Transformer Region Proposal for Object Detection -- A Feature Fusion based Object Tracking Algorithm -- Detection and Reconstruction of Transparent Objects with Infrared Projection-based RGB-D Cameras -- Autonomous Vehicles -- A Simulation-to-Real Autonomous Driving System Based on End-to-End Learning -- Underwater SLAM Based On Forward-Looking Sonar -- Robust Visual Odometry Using Semantic Information in Complex Dynamic Scenes -- A Multi-Sensor Data Fusion Method based on Improved XGBoost Model for AGV Localization -- Multi UAV Target Tracking based on the Vision and Communication Information -- An Accurate Positioning Method for Robotic Manipulation Based on Vision and Tactile Sensors. Tipo de medio : Computadora Summary : This book constitutes the refereed post-conference proceedings of the 5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020, held in Zhuhai, China, in December 2020. The 59 revised papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on algorithm; application; manipulation; bioinformatics; vision; and autonomous vehicles. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Wearable Technology for Robotic Manipulation and Learning Tipo de documento: documento electrónico Autores: Fang, Bin, ; Sun, Fuchun, ; Liu, Huaping, ; Liu, Chunfang, ; Guo, Di, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2020 Número de páginas: XXIV, 208 p. 124 ilustraciones ISBN/ISSN/DL: 978-981-1551246-- 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: Robótica Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador IngenierÃa de control Automatización Interfaces de usuario e interacción persona-computadora Control Clasificación: 629.892 Resumen: Durante las próximas décadas, millones de personas, con distintos antecedentes y niveles de experiencia técnica, tendrán que interactuar de manera efectiva con tecnologÃas robóticas a diario. Esto significa que tendrá que ser posible modificar el comportamiento del robot sin escribir código explÃcitamente, sino a través de una pequeña cantidad de dispositivos portátiles o demostraciones visuales. Al mismo tiempo, los robots necesitarán inferir y predecir las intenciones y los objetivos internos de los humanos sobre la base de interacciones pasadas para poder brindar asistencia antes de que se solicite explÃcitamente; ésta es la base del aprendizaje por imitación en robótica. Este libro presenta a los lectores el aprendizaje por imitación robótica basado en demostraciones humanas con dispositivos portátiles. Presenta un método de calibración avanzado para sensores portátiles y enfoques de fusión bajo el marco del filtro Kalman, asà como un novedoso dispositivo portátil para capturar gestos y otros movimientos. Además, describe el método de aprendizaje por imitación basado en dispositivos portátiles y en visión para la manipulación robótica, lo que lo convierte en una valiosa guÃa de referencia para estudiantes de posgrado con conocimientos básicos de aprendizaje automático y para investigadores interesados ​​en la informática portátil y el aprendizaje robótico. Tipo de medio : Computadora Summary : Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans' intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics. This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Wearable Technology for Robotic Manipulation and Learning [documento electrónico] / Fang, Bin, ; Sun, Fuchun, ; Liu, Huaping, ; Liu, Chunfang, ; Guo, Di, . - 1 ed. . - Singapore [Malasia] : Springer, 2020 . - XXIV, 208 p. 124 ilustraciones.
ISBN : 978-981-1551246--
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: Robótica Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador IngenierÃa de control Automatización Interfaces de usuario e interacción persona-computadora Control Clasificación: 629.892 Resumen: Durante las próximas décadas, millones de personas, con distintos antecedentes y niveles de experiencia técnica, tendrán que interactuar de manera efectiva con tecnologÃas robóticas a diario. Esto significa que tendrá que ser posible modificar el comportamiento del robot sin escribir código explÃcitamente, sino a través de una pequeña cantidad de dispositivos portátiles o demostraciones visuales. Al mismo tiempo, los robots necesitarán inferir y predecir las intenciones y los objetivos internos de los humanos sobre la base de interacciones pasadas para poder brindar asistencia antes de que se solicite explÃcitamente; ésta es la base del aprendizaje por imitación en robótica. Este libro presenta a los lectores el aprendizaje por imitación robótica basado en demostraciones humanas con dispositivos portátiles. Presenta un método de calibración avanzado para sensores portátiles y enfoques de fusión bajo el marco del filtro Kalman, asà como un novedoso dispositivo portátil para capturar gestos y otros movimientos. Además, describe el método de aprendizaje por imitación basado en dispositivos portátiles y en visión para la manipulación robótica, lo que lo convierte en una valiosa guÃa de referencia para estudiantes de posgrado con conocimientos básicos de aprendizaje automático y para investigadores interesados ​​en la informática portátil y el aprendizaje robótico. Tipo de medio : Computadora Summary : Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans' intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics. This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
