Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System PDF Download

Author: Sukhan Lee
Publisher: Springer
ISBN: 3319905090
Category : Technology & Engineering
Languages : en
Pages : 300

View

Book Description
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
Publisher: Springer
ISBN: 3030279286
Category : Technology & Engineering
Languages : en
Pages : 1105

View

Book Description
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
ISBN: 3658269499
Category : Technology & Engineering
Languages : en
Pages : 164

View

Book Description
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
Publisher: Springer Nature
ISBN: 3030471241
Category : Technology & Engineering
Languages : en
Pages : 555

View

Book Description
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
Publisher: Springer Nature
ISBN: 3030691438
Category : Computers
Languages : en
Pages : 746

View

Book Description
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: Mario Alberto Soriano Morales
Publisher:
ISBN:
Category : Machine learning
Languages : en
Pages : 0

View

Book Description
The fast development of new technologies related to sensor solutions, cyber-physical-systems, cloud computing, the Internet of Things (IoT) and their applications in the industry has led to a new modern era where the industry itself has faced a new industrial revolution called Industry 4.0. With the help of machine learning techniques, sensory solutions and the application of IoT, Industry 4.0 has been able to achieve fully autonomous and intelligent processes that can communicate with each other and could be located hundreds of miles away. As a consequence, in the presented work, an implementation of the concept mentioned earlier is acquired to create an intelligent reconfigurable measurement system technology that takes multiple outputs from different sensors (pressure sensor, accelerometer, temperature, and light absorption) and performed the data analysis and data acquisition. The methodology used is an advanced analytics framework of machine learning as an end-to-end model with a combination of nonlinear multi-layers for structuring the multi-sensor fusion, this framework uses a deep learning approach, which is an end-to-end learning structure that takes the outputs of the multi-sensor network and performs classification, data linearization and calibration for the different sensors. The multi-sensor data fusion is performed using a centralized architecture (microcontroller and PC), taking an IoT implementation for data transfer. The data alignment and data associations are performed within a desktop PC using a microcontroller as a communication node. Then, a convolutional neural network is used for classifying the data and then pass it to a deep fully connected neural network for its linearization and calibration. The validation of the methodology is performed using 150, 000 data points as reference for the calibration and linearization processes as well as the classification of the data coming from the multi-sensor system. A user-to-system communication framework is designed to perform the multi-sensor fusion and also to enable the user control of the processes. With the communication framework mentioned above, an easy-to-use device has been designed and developed to help to understand the structure of sensor fusion using deep learning as a contribution to the academic learning community. The contributions of the presented work lie in the usage of a deep learning framework for multi-sensor fusion with a centralized low-cost architecture. The main focus is to create a low-cost solution for sensor fusion that relies on the application of an Internet of Things (IoT) and machine learning data structures; this will help to prove how using machine learning methods can contribute to the construction of such measurement system. It is concluded that a multi-sensor fusion approach using deep learning as a framework model gives excellent results compared to benchmark methods for the integration of different sensors, accomplishing at the same time the linearization and calibration of the outputs coming from these sensors.

Author: Anthony K. Hyder
Publisher: Springer Science & Business Media
ISBN: 9401005567
Category : Computers
Languages : en
Pages : 929

View

Book Description
For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.

Author: Lee Suk-han
Publisher: Springer Science & Business Media
ISBN: 354089859X
Category : Technology & Engineering
Languages : en
Pages : 476

View

Book Description
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
Publisher: Intellect Books
ISBN:
Category : Computers
Languages : en
Pages : 736

View

Book Description
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: Hassen Fourati
Publisher: CRC Press
ISBN: 1351830880
Category : Technology & Engineering
Languages : en
Pages : 628

View

Book Description
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.