Multisensor Fusion And Integration In The Wake Of Big Data Deep Learning And Cyber Physical System

Author : Sukhan Lee,Hanseok Ko,Songhwai Oh
Publisher : Springer
Page : 300 pages
File Size : 44,5 Mb
Release : 2018-07-04
Category : Technology & Engineering
ISBN : 9783319905099

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Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System by Sukhan Lee,Hanseok Ko,Songhwai Oh Pdf

This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.

Author : Tareq Ahram,Waldemar Karwowski,Stefan Pickl,Redha Taiar
Publisher : Springer
Page : 1105 pages
File Size : 45,8 Mb
Release : 2019-08-13
Category : Technology & Engineering
ISBN : 9783030279288

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Human Systems Engineering and Design II by Tareq Ahram,Waldemar Karwowski,Stefan Pickl,Redha Taiar Pdf

This book focuses on novel design and systems engineering approaches, including theories and best practices, for promoting a better integration of people and engineering systems. It covers a range of hot topics related to: development of human-centered systems; interface design and human-computer interaction; usability and user experience; emergent properties of human behavior; innovative materials in manufacturing, biomechanics, and sports medicine, safety engineering and systems complexity business analytics, design and technology and many more. The book, which gathers selected papers presented at the 2nd International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2019), held on September 16-18, 2019, at Universität der Bundeswehr München, Munich, Germany, provides researchers, practitioners and program managers with a snapshot of the state-of-the-art and current challenges in the field of human systems engineering and design.

Author : Tuan Tran Nguyen
Publisher : Springer
Page : 164 pages
File Size : 49,6 Mb
Release : 2019-06-14
Category : Technology & Engineering
ISBN : 9783658269494

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A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources by Tuan Tran Nguyen Pdf

To tackle the challenges of the road estimation task, many works employ a fusion of multiple sources. By that, a commonly made assumption is that the sources always are equally reliable. However, this assumption is inappropriate since each source has certain advantages and drawbacks depending on the operational scenarios. Therefore, Tuan Tran Nguyen proposes a novel concept by incorporating reliabilities into the multi-source fusion so that the road estimation task can alternately select only the most reliable sources. Thereby, the author estimates the reliability for each source online using classifiers trained with the sensor measurements, the past performance and the context. Using real data recordings, he shows via experimental results that the presented reliability-aware fusion increases the availability of automated driving up to 7 percentage points compared to the average fusion. About the Author: Tuan Tran Nguyen received the Master's degree in computer science and the Ph.D. degree from Otto-von-Guericke University Magdeburg, Germany, in 2013 and 2019, respectively. His research focuses on methods and architectures for reliability-based sensor fusion in intelligent vehicles.

Author : Shahnaz N. Shahbazova,Janusz Kacprzyk,Valentina Emilia Balas,Vladik Kreinovich
Publisher : Springer Nature
Page : 555 pages
File Size : 54,5 Mb
Release : 2020-07-10
Category : Technology & Engineering
ISBN : 9783030471248

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Recent Developments and the New Direction in Soft-Computing Foundations and Applications by Shahnaz N. Shahbazova,Janusz Kacprzyk,Valentina Emilia Balas,Vladik Kreinovich Pdf

This book gathers authoritative contributions in the field of Soft Computing. Based on selected papers presented at the 7th World Conference on Soft Computing, which was held on May 29–31, 2018, in Baku, Azerbaijan, it describes new theoretical advances, as well as cutting-edge methods and applications. New theories and algorithms in fuzzy logic, cognitive modeling, graph theory and metaheuristics are discussed, and applications in data mining, social networks, control and robotics, geoscience, biomedicine and industrial management are described. This book offers a timely, broad snapshot of recent developments, including thought-provoking trends and challenges that are yielding new research directions in the diverse areas of Soft Computing.

Author : Sanjay Misra,Bilkisu Muhammad-Bello
Publisher : Springer Nature
Page : 746 pages
File Size : 49,7 Mb
Release : 2021-02-13
Category : Computers
ISBN : 9783030691431

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Information and Communication Technology and Applications by Sanjay Misra,Bilkisu Muhammad-Bello Pdf

This book constitutes revised selected papers from the Third International Conference on Information and Communication Technology and Applications, ICTA 2020, held in Minna, Nigeria, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 67 full papers were carefully reviewed and selected from 234 submissions. The papers are organized in the topical sections on Artificial Intelligence, Big Data and Machine Learning; Information Security Privacy and Trust; Information Science and Technology.

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 48,7 Mb
Release : 2017-11-16
Category : Big data
ISBN : 1509060650

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2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) by IEEE Staff Pdf

sensor actuator networks, distributed and cloud architectures, bio inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous vehicles of land, sea and air, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro nano systems, information fusion, sensors, multimodal integration in HCI and HRI, etc

Author : Lee Suk-han,Hanseok Ko,Hernsoo Hahn
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 51,5 Mb
Release : 2009-05-28
Category : Technology & Engineering
ISBN : 9783540898597

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Multisensor Fusion and Integration for Intelligent Systems by Lee Suk-han,Hanseok Ko,Hernsoo Hahn Pdf

The ?eld of multi-sensor fusion and integration is growing into signi?cance as our societyisintransitionintoubiquitouscomputingenvironmentswithroboticservices everywhere under ambient intelligence. What surround us are to be the networks of sensors and actuators that monitor our environment, health, security and safety, as well as the service robots, intelligent vehicles, and autonomous systems of ever heightened autonomy and dependability with integrated heterogeneous sensors and actuators. The ?eld of multi-sensor fusion and integration plays key role for m- ing the above transition possible by providing fundamental theories and tools for implementation. This volume is an edition of the papers selected from the 7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI‘08, held in Seoul, Korea, August 20–22, 2008. Only 32 papers out of the 122 papers accepted for IEEE MFI’08 were chosen and requested for revision and extension to be included in this volume. The 32 contributions to this volume are organized into three parts: Part I is dedicated to the Theories in Data and Information Fusion, Part II to the Multi-Sensor Fusion and Integration in Robotics and Vision, and Part III to the Applications to Sensor Networks and Ubiquitous Computing Environments. To help readers understand better, a part summary is included in each part as an introduction. The summaries of Parts I, II, and III are prepared respectively by Prof. Hanseok Ko, Prof. Sukhan Lee and Prof. Hernsoo Hahn.

Author : Lee Suk-han,Hanseok Ko,Hernsoo Hahn
Publisher : Springer
Page : 479 pages
File Size : 47,8 Mb
Release : 2009-10-22
Category : Technology & Engineering
ISBN : 3540898603

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Multisensor Fusion and Integration for Intelligent Systems by Lee Suk-han,Hanseok Ko,Hernsoo Hahn Pdf

The ?eld of multi-sensor fusion and integration is growing into signi?cance as our societyisintransitionintoubiquitouscomputingenvironmentswithroboticservices everywhere under ambient intelligence. What surround us are to be the networks of sensors and actuators that monitor our environment, health, security and safety, as well as the service robots, intelligent vehicles, and autonomous systems of ever heightened autonomy and dependability with integrated heterogeneous sensors and actuators. The ?eld of multi-sensor fusion and integration plays key role for m- ing the above transition possible by providing fundamental theories and tools for implementation. This volume is an edition of the papers selected from the 7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI‘08, held in Seoul, Korea, August 20–22, 2008. Only 32 papers out of the 122 papers accepted for IEEE MFI’08 were chosen and requested for revision and extension to be included in this volume. The 32 contributions to this volume are organized into three parts: Part I is dedicated to the Theories in Data and Information Fusion, Part II to the Multi-Sensor Fusion and Integration in Robotics and Vision, and Part III to the Applications to Sensor Networks and Ubiquitous Computing Environments. To help readers understand better, a part summary is included in each part as an introduction. The summaries of Parts I, II, and III are prepared respectively by Prof. Hanseok Ko, Prof. Sukhan Lee and Prof. Hernsoo Hahn.

Author : Ren C. Luo,Michael G. Kay
Publisher : Intellect Books
Page : 736 pages
File Size : 52,7 Mb
Release : 1995
Category : Computers
ISBN : UOM:39015034207244

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Multisensor Integration and Fusion for Intelligent Machines and Systems by Ren C. Luo,Michael G. Kay Pdf

There has been a growing interest during the 1990s in the use of multiple sensors to increase the capabilities of intelligent machines and systems. This text is a compendium of some of the most important and influential work that has appeared in this area. In addition, it contains comprehensive introductory material and an extensive survey and review of related research. The volume should be useful to everyone interested in the development of more intelligent machines and systems through the synergistic use of multiple sensors.

Author : Xue-Bo Jin,Yuan Gao
Publisher : MDPI
Page : 602 pages
File Size : 49,9 Mb
Release : 2020-03-23
Category : Technology & Engineering
ISBN : 9783039283026

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Multi-Sensor Information Fusion by Xue-Bo Jin,Yuan Gao Pdf

This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.

Author : Lee Suk-han,Hanseok Ko,Hernsoo Hahn
Publisher : Springer
Page : 479 pages
File Size : 46,5 Mb
Release : 2009-05-28
Category : Technology & Engineering
ISBN : 3540898581

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Multisensor Fusion and Integration for Intelligent Systems by Lee Suk-han,Hanseok Ko,Hernsoo Hahn Pdf

The ?eld of multi-sensor fusion and integration is growing into signi?cance as our societyisintransitionintoubiquitouscomputingenvironmentswithroboticservices everywhere under ambient intelligence. What surround us are to be the networks of sensors and actuators that monitor our environment, health, security and safety, as well as the service robots, intelligent vehicles, and autonomous systems of ever heightened autonomy and dependability with integrated heterogeneous sensors and actuators. The ?eld of multi-sensor fusion and integration plays key role for m- ing the above transition possible by providing fundamental theories and tools for implementation. This volume is an edition of the papers selected from the 7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI‘08, held in Seoul, Korea, August 20–22, 2008. Only 32 papers out of the 122 papers accepted for IEEE MFI’08 were chosen and requested for revision and extension to be included in this volume. The 32 contributions to this volume are organized into three parts: Part I is dedicated to the Theories in Data and Information Fusion, Part II to the Multi-Sensor Fusion and Integration in Robotics and Vision, and Part III to the Applications to Sensor Networks and Ubiquitous Computing Environments. To help readers understand better, a part summary is included in each part as an introduction. The summaries of Parts I, II, and III are prepared respectively by Prof. Hanseok Ko, Prof. Sukhan Lee and Prof. Hernsoo Hahn.

Author : Fei Hu,Qi Hao
Publisher : CRC Press
Page : 676 pages
File Size : 53,8 Mb
Release : 2012-12-15
Category : Technology & Engineering
ISBN : 9781439892817

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Intelligent Sensor Networks by Fei Hu,Qi Hao Pdf

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.

Author : Hassen Fourati
Publisher : CRC Press
Page : 659 pages
File Size : 50,9 Mb
Release : 2015-08-14
Category : Technology & Engineering
ISBN : 1482263742

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Multisensor Data Fusion by Hassen Fourati Pdf

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 53,6 Mb
Release : 1665
Category : Electronic
ISBN : OCLC:311719674

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Articles de la confession de foi de l'église Anglicane by Anonim Pdf

Author : Renny Fernandez,Terrance Frederick Fernandez
Publisher : River Publishers Biomedical En
Page : 128 pages
File Size : 54,9 Mb
Release : 2021-10-31
Category : Computers
ISBN : 8770224153

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Big Data Management in Sensing: Applications in AI and Iot by Renny Fernandez,Terrance Frederick Fernandez Pdf

The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.