Acquisition and Application of Multimodal Sensing Information
Acquisition and Application of Multimodal Sensing Information

Author: Xukun Yin

Publisher: Frontiers Media SA

Published: 2023-10-11

Total Pages: 121

ISBN-13: 2832535771

DOWNLOAD EBOOK

With the development of advanced sensors in modern science and technology, sensors have already penetrated into such fields as industrial production, space development, ocean exploration, environmental protection, medical diagnosis, biological engineering, and even cultural relic protection. Sensors are the basis of all data acquisition. Almost every modern project, from the exploration of the vast universe and ocean, to the complex engineering systems, is inseparable from a variety of sensors. Sensors convert physical parameters (e.g., temperature, pressure, humidity, speed, etc.) into signals that can be measured electrically. A high-performance sensor with the advantages of high sensitivity, high resolutions, and real-time observation is desirable. In addition, the application of computers and advanced signal processingsignal-processing methods makes sensor management possible. The use of sensing data from multiple sensors has been proven to be an efficient way to improve service experiences in different IOT IoT fields, e.g., intelligent transportation, remote sensing, smart city, and UAVs.

Multi-Sensor Information Fusion
Multi-Sensor Information Fusion

Author: Xue-Bo Jin

Publisher: MDPI

Published: 2020-03-23

Total Pages: 602

ISBN-13: 3039283022

DOWNLOAD EBOOK

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.

Multimodal Scene Understanding
Multimodal Scene Understanding

Author: Michael Ying Yang

Publisher: Academic Press

Published: 2019-07-16

Total Pages: 424

ISBN-13: 0128173599

DOWNLOAD EBOOK

Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. - Contains state-of-the-art developments on multi-modal computing - Shines a focus on algorithms and applications - Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning

Information Fusion Under Consideration of Conflicting Input Signals
Information Fusion Under Consideration of Conflicting Input Signals

Author: Uwe Mönks

Publisher: Springer

Published: 2016-11-25

Total Pages: 249

ISBN-13: 3662537524

DOWNLOAD EBOOK

This work proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) and the μBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. In addition, a sensor defect detection method, which is based on the continuous monitoring of sensor reliabilities, is presented. The performances of the contributions are shown by their evaluation in the scope of both a publicly available data set and a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms.

Multi-Sensor Imaging and Fusion: Methods, Evaluations, and Applications, volume II
Multi-Sensor Imaging and Fusion: Methods, Evaluations, and Applications, volume II

Author: Zhiqin Zhu

Publisher: Frontiers Media SA

Published: 2024-07-24

Total Pages: 208

ISBN-13: 2832552005

DOWNLOAD EBOOK

Multi-sensor image fusion focuses on processing images of the same object or scene acquired by multiple sensors, in which various sensors with multi-level and multi-spatial information are complemented and combined to ultimately yield a consistent interpretation of the observed environment. In recent years, multi-sensor image fusion has become a highly active topic, and various fusion methods have been proposed. Many effective processing methods, including multi-scale transformation, fuzzy inference, and deep learning, have been introduced to design fusion algorithms. Despite the great progress, there are still some noteworthy challenges in the field, such as the lack of unified fusion theories and methods for effective generalized fusion, the lack of fault tolerance and robustness, the lack of benchmarks for performance evaluation, the lack of work on specific applications of multi-sensor image fusion, and so on.

KI 2010: Advances in Artificial Intelligence
KI 2010: Advances in Artificial Intelligence

Author: Rüdiger Dillmann

Publisher: Springer Science & Business Media

Published: 2010-09-20

Total Pages: 458

ISBN-13: 3642161103

DOWNLOAD EBOOK

The 33rd Annual German Conference on Arti?cial Intelligence (KI 2010) took place at the Karlsruhe Institute of Technology KIT, September 21–24, 2010, under the motto “Anthropomatic Systems.” In this volume you will ?nd the keynote paper and 49 papers of oral and poster presentations. The papers were selected from 73 submissions, resulting in an acceptance rate of 67%. As usual at the KI conferences, two entire days were allocated for targeted workshops—seventhis year—andone tutorial. The workshopand tutorialma- rials are not contained in this volume, but the conference website, www.ki2010.kit.edu,will provide information and references to their contents. Recent trends in AI research have been focusing on anthropomatic systems, which address synergies between humans and intelligent machines. This trend is emphasized through the topics of the overall conference program. They include learning systems, cognition, robotics, perception and action, knowledge rep- sentation and reasoning, and planning and decision making. Many topics deal with uncertainty in various scenarios and incompleteness of knowledge. Summarizing, KI 2010 provides a cross section of recent research in modern AI methods and anthropomatic system applications. We are very grateful that Jos ́ edel Mill ́ an, Hans-Hellmut Nagel, Carl Edward Rasmussen, and David Vernon accepted our invitation to give a talk.

Fusion in Computer Vision
Fusion in Computer Vision

Author: Bogdan Ionescu

Publisher: Springer Science & Business Media

Published: 2014-03-25

Total Pages: 279

ISBN-13: 3319056964

DOWNLOAD EBOOK

This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content.

Wearable Sensing and Intelligent Data Analysis for Respiratory Management
Wearable Sensing and Intelligent Data Analysis for Respiratory Management

Author: Rui Pedro Paiva

Publisher: Academic Press

Published: 2022-05-21

Total Pages: 384

ISBN-13: 0128231254

DOWNLOAD EBOOK

Wearable Sensing and Intelligent Data Analysis for Respiratory Management highlights the use of wearable sensing and intelligent data analysis algorithms for respiratory function management, offering several potential and substantial clinical benefits. The book allows for the early detection of respiratory exacerbations in patients with chronic respiratory diseases, allowing earlier and, therefore, more effective treatment. As such, the problem of continuous, non-invasive, remote and real-time monitoring of such patients needs increasing attention from the scientific community as these systems have the potential for substantial clinical benefits, promoting P4 medicine (personalized, participative, predictive and preventive). Wearable and portable systems with sensing technology and automated analysis of respiratory sounds and pulmonary images are some of the problems that are the subject of current research efforts, hence this book is an ideal resource on the topics discussed. - Presents an up-to-date review and current trends and hot topics in the different sub-fields (e.g., wearable technologies, respiratory sound analysis, lung image analysis, etc.) - Offers a comprehensive guide for any research starting to work in the field - Presents the state-of-the-art of each sub-topic, where the main works in the literature is critically reviewed and discussed, along with the main practices and techniques in each area

Intelligent Data Sensing and Processing for Health and Well-being Applications
Intelligent Data Sensing and Processing for Health and Well-being Applications

Author: Miguel Antonio Wister Ovando

Publisher: Academic Press

Published: 2018-07-26

Total Pages: 316

ISBN-13: 0128123206

DOWNLOAD EBOOK

Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow's IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home. - Examines the latest applications and future directions for mobile data sensing in an array of health and well-being scenarios - Combines leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multidisciplinary field of smart sensors, smart sensor networks, data analysis and machine intelligence methods - Features an analysis of security, privacy and ethical issues in smart sensor health and well-being applications - Equips readers interested in interdisciplinary projects in ubiquitous computing or pervasive computing and ambient intelligence with the latest trends and developments