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Data Fusion is a very broad interdisciplinary technology domain. It provides techniques and methods for; integrating information from multiple sources and using the complementarities of these detections to derive maximum information about the phenomenon being observed; analyzing and deriving the meaning of these observations and predicting possible consequences of the observed state of the environment; selecting the best course of action; and controlling the actions. Here, the focus is on the more mature phase of data fusion, namely the detection and identification / classification of phenomena being observed and exploitation of the related methods for Security-Related Civil Science and Tech...
Signal Transduction during Biomembrane Fusion begins with three review articles that put the problem of signal transduction and biomembrane fusion into a general perspective. Each subsequent chapter begins with an introduction which reviews past work on a specific biological system. The authors' current research is then detailed. The chapters conclude with final comments wherein the contributors express viewpoints about the general significance and progression of their work. This book comprises 12 chapters, with the first focusing on signal transduction during biomembrane fusion. The succeeding chapters then discuss the ""focal membrane fusion"" model; osmotic phenomena in membrane fusion; c...
Proceedings of a symposium held to identify, review, and assess the benefits, uncertainties, & potentialities of the conventional, alternative, & exploratory approaches to fusion energy production, and to assess industrial spin-offs & other applications. Topics of the compiled papers include: a new course for fusion research, magnetic confinement, inertial confinement, other confinement, plasma physics, numerical simulation, nuclear processes, fusion burn control, plasma diagnostics, and plasma stability. Includes subject index.
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 d...
Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with complete details so that practitioners can easily implement them. It is also demonstrated how one can select only a few specific bands to speed up the process of fusion by exploiting spatial correlation within successive bands of the hyperspectral data. ...
Gettng started wth Fuson 360 Learn how Autodesk® Fusion 360® can help you bring your designs to life. What is Fusion 360? Fusion 360 is a cloud-based CAD/CAM/CAE tool for collaborative product development. Fusion 360 combines fast and easy organic modeling with precise solid modeling, to help you create manufacturable designs. Watch this short video to learn about what you can achieve with Fusion 360. Where your Fusion 360 data is stored All Fusion 360 design data is stored in the cloud. You can securely access your Fusion 360 data from anywhere. You can also use group projects to control who else can access your design data and collaborate with you. Tip: If you do not have int...
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 pa...
This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making. Information fusion is the process of gathering, processing, and combining large amounts of information from multiple and diverse sources, including physical sensors to human intelligence reports and social media. That data and information may be unreliable, of low fidelity, insufficient resolution, contradictory, fake and/or redundant. Sources may provide unverified reports obtained from other sources resu...
The author is a somewhat frustrated ‘weekend engineer’ with a small lathe and an old manual milling machine in his garage, whose day job doesn’t reflect his passion for making mechanical things. A chance discussion with a colleague culminated in him ordering a brand-new CNC (Computerised Numerical Control) mill from the USA. The machine is a Tormach® 770MX, a model aimed unashamedly at the high end of the hobbyist market, and certainly attracting the attention of small independent manufacturing ‘start-ups’, particularly in the United States. This book records his journey of getting to grips with assembling all the components and learning how to operate the machine. It is purposely...
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.