Near Optimal Sensor Placements

Download Near Optimal Sensor Placements full books in PDF, epub, and Kindle. Read online Near Optimal Sensor Placements ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Near-optimal Sensor Placements

Author : Andreas Krause
Publisher :
ISBN 13 :
Total Pages : 15 pages
Book Rating : 4.:/5 (279 download)

DOWNLOAD NOW!

Book Synopsis Near-optimal Sensor Placements by : Andreas Krause

Download or read book Near-optimal Sensor Placements written by Andreas Krause and published by . This book was released on 2005 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "When monitoring spatial phenomena with wireless sensor networks, selecting the best sensor placements is a fundamental task. Not only should the sensors be informative, but they should also be able to communicate efficiently. In this paper, we present a data-driven approach that addresses the three central aspects of this problem: measuring the predictive quality of a set of sensor locations (regardless of whether sensors are ever placed at these locations), predicting the communication cost involved with these placements, and designing an algorithm with provable quality guarantees that optimizes the NP-hard tradeoff. Specifically, we use data from a pilot deployment to build non-parametric probabilistic models called Gaussian Processes (GPs) both for the spatial phenomena of interest and for the spatial variability of link qualities, which allows us to estimate predictive power and communication cost of unsensed locations. Surprisingly, uncertainty in the representation of link qualities plays an important role in estimating communication costs. Using these models, we present a novel, polynomial-time, data-driven algorithm, pSPIEL, which selects Sensor Placements at Informative and cost-Effective Locations. Our approach exploits two important properties of this problem: submodularity, formalizing the intuition that adding a node to a small deployment can help more than adding a node to a large deployment; and locality, under which nodes that are far from each other provide almost independent information. Exploiting these properties, we prove strong approximation guarantees for our pSPIEL approach. We also provide extensive experimental validation of this practical approach on several real-world placement problems, and built a complete system implementation on 46 Tmote Sky motes, demonstrating significant advantages over existing methods."

Near-optimal Sensor Placements in Gaussian Processes

Author : Carlos Guestrin
Publisher :
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4.:/5 (611 download)

DOWNLOAD NOW!

Book Synopsis Near-optimal Sensor Placements in Gaussian Processes by : Carlos Guestrin

Download or read book Near-optimal Sensor Placements in Gaussian Processes written by Carlos Guestrin and published by . This book was released on 2005 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "When monitoring spatial phenomena selecting the best locations for sensors is a fundamental task. To avoid strong assumptions, such as fixed sensing radii, and to tackle noisy measurements, Gaussian processes (GPs) are often used to model the underlying phenomena. A commonly used placement strategy is to select the locations that have highest entropy with respect to the GP model. Unfortunately, this criterion is indirect, since prediction quality for unsensed positions is not considered, and thus suboptimal positions are often selected. In this paper, we propose a mutual information criterion that chooses sensor locations that most reduce uncertainty about unsensed locations. We first show that choosing a set of k sensors that maximizes the mutual information is NP-complete. By exploiting the submodularity of mutual information we propose a polynomial-time algorithm that guarantees a placement within (1 - 1/[epsilon]) of the maxima. This algorithm is extended to exploit local structure in the Gaussian process, significantly improving performance. Finally, we show that the sensor placements chosen by our algorithm can lead to significantly better predictions through extensive experimental validation on two real-world datasets."

Near-optimal Sensor Placements in Gaussian Processes

Author : Andreas Krause
Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.:/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Near-optimal Sensor Placements in Gaussian Processes by : Andreas Krause

Download or read book Near-optimal Sensor Placements in Gaussian Processes written by Andreas Krause and published by . This book was released on 2007 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to address this task, for example, geometry or disk models, placing sensors at the points of highest entropy (variance) in the GP model, and A-, D-, or E-optimal design. In this paper, we tackle the combinatorial optimization problem of maximizing the mutual information between the chosen locations and the locations which are not selected. We prove that the problem of finding the configuration that maximizes mutual information is NP-complete. To address this issue, we describe a polynomial-time approximation that is within (1 - 1/e) of the optimum by exploiting the submodularity of mutual information. We also show how submodularity can be used to obtain online bounds, and design branch and bound search procedures. We then extend our algorithm to exploit lazy evaluations and local structure in the GP, yielding significant speedups. We also extend our approach to find placements which are robust against node failures and uncertainties in the model. These extensions are again associated with rigorous theoretical approximation guarantees, exploiting the submodularity of the objective function. We demonstrate the advantages of our approach towards optimizing mutual information in a very extensive empirical study on two real-world data sets."

Data-Driven Science and Engineering

Author : Steven L. Brunton
Publisher : Cambridge University Press
ISBN 13 : 1009098489
Total Pages : 615 pages
Book Rating : 4.0/5 (9 download)

DOWNLOAD NOW!

Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Optimal Sensor Placement

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (931 download)

DOWNLOAD NOW!

Book Synopsis Optimal Sensor Placement by :

Download or read book Optimal Sensor Placement written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Tractability

Author : Lucas Bordeaux
Publisher : Cambridge University Press
ISBN 13 : 110772922X
Total Pages : 401 pages
Book Rating : 4.1/5 (77 download)

DOWNLOAD NOW!

Book Synopsis Tractability by : Lucas Bordeaux

Download or read book Tractability written by Lucas Bordeaux and published by Cambridge University Press. This book was released on 2014-02-06 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical computer science textbooks tell us that some problems are 'hard'. Yet many areas, from machine learning and computer vision to theorem proving and software verification, have defined their own set of tools for effectively solving complex problems. Tractability provides an overview of these different techniques, and of the fundamental concepts and properties used to tame intractability. This book will help you understand what to do when facing a hard computational problem. Can the problem be modelled by convex, or submodular functions? Will the instances arising in practice be of low treewidth, or exhibit another specific graph structure that makes them easy? Is it acceptable to use scalable, but approximate algorithms? A wide range of approaches is presented through self-contained chapters written by authoritative researchers on each topic. As a reference on a core problem in computer science, this book will appeal to theoreticians and practitioners alike.

Model Validation and Uncertainty Quantification, Volume 3

Author : Robert Barthorpe
Publisher : Springer
ISBN 13 : 3030120759
Total Pages : 299 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : Robert Barthorpe

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by Robert Barthorpe and published by Springer. This book was released on 2019-05-30 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the third volume of eight from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Inverse Problems and Uncertainty Quantification Controlling Uncertainty Validation of Models for Operating Environments Model Validation & Uncertainty Quantification: Decision Making Uncertainty Quantification in Structural Dynamics Uncertainty in Early Stage Design Computational and Uncertainty Quantification Tools

Navigation of Autonomous Marine Robots

Author : Thomas Glotzbach
Publisher : Springer Nature
ISBN 13 : 3658301090
Total Pages : 366 pages
Book Rating : 4.6/5 (583 download)

DOWNLOAD NOW!

Book Synopsis Navigation of Autonomous Marine Robots by : Thomas Glotzbach

Download or read book Navigation of Autonomous Marine Robots written by Thomas Glotzbach and published by Springer Nature. This book was released on 2020-04-30 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thomas Glotzbach spotlights that navigation within marine robotics can benefit from cooperative teams in a way that justifies the increased effort to operate several vehicles at once. He features discussions of different scenarios, modeling of systems, and estimation algorithms for comparable situations. The chapter on the used methodologies may allow a reader with only basic knowledge in control theory to obtain deeper insight in advanced concepts such as observability and state estimation, even without any background in marine robotics.

Coverage Control in Sensor Networks

Author : Bang Wang
Publisher : Springer Science & Business Media
ISBN 13 : 1849960593
Total Pages : 214 pages
Book Rating : 4.8/5 (499 download)

DOWNLOAD NOW!

Book Synopsis Coverage Control in Sensor Networks by : Bang Wang

Download or read book Coverage Control in Sensor Networks written by Bang Wang and published by Springer Science & Business Media. This book was released on 2010-01-11 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advances in sensor design have decreased the size, weight, and cost of sensors by orders of magnitude, yet with the increase of higher spatial and temporal re- lution and accuracy. With the fast progress of sensors design and communications technique, sensor networks have also been quickly evolving in both research and practical domains in the last decade. More and more sensor networks have been - ployed in real-world to gather information for our daily life. Applications of sensor networks can be found in battle?eld surveillance, environmental monitoring, b- logical detection, smart spaces, industrial diagnostics, etc. Although the technique of sensor networks has a very promising future, many challenges are still deserving lots of research efforts for its successful applications. Thisbookisdevotedtocoveragecontrol,oneofthemostfundamentalandimportant research issues in sensor networks. The aim of the book is to provide tutorial-like and up-to-date reference resources on various coverage control problems in sensor networks, a hot topic that has been intensively researched in recent years. Due to some unique characteristics of sensor networks such as energy constraint and - hoc topology, the coverage problems in sensor networks have many new scenarios and features that entitle them an important research issue in recent years. I have done my best to include in the book the most recent advances, techniques, protocols, results, and ?ndings in this ?eld.

Optimal Measurement Methods for Distributed Parameter System Identification

Author : Dariusz Ucinski
Publisher : CRC Press
ISBN 13 : 0203026780
Total Pages : 392 pages
Book Rating : 4.2/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Optimal Measurement Methods for Distributed Parameter System Identification by : Dariusz Ucinski

Download or read book Optimal Measurement Methods for Distributed Parameter System Identification written by Dariusz Ucinski and published by CRC Press. This book was released on 2004-08-27 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem.

Active Sensor Planning for Multiview Vision Tasks

Author : Shengyong Chen
Publisher : Springer Science & Business Media
ISBN 13 : 3540770720
Total Pages : 270 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Active Sensor Planning for Multiview Vision Tasks by : Shengyong Chen

Download or read book Active Sensor Planning for Multiview Vision Tasks written by Shengyong Chen and published by Springer Science & Business Media. This book was released on 2008-01-23 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book explores the important issues in studying for active visual perception. The book’s eleven chapters draw on recent important work in robot vision over ten years, particularly in the use of new concepts. Implementation examples are provided with theoretical methods for testing in a real robot system. With these optimal sensor planning strategies, this book will give the robot vision system the adaptability needed in many practical applications.

Mission-Oriented Sensor Networks and Systems: Art and Science

Author : Habib M. Ammari
Publisher : Springer Nature
ISBN 13 : 3319911465
Total Pages : 820 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Mission-Oriented Sensor Networks and Systems: Art and Science by : Habib M. Ammari

Download or read book Mission-Oriented Sensor Networks and Systems: Art and Science written by Habib M. Ammari and published by Springer Nature. This book was released on 2019-09-18 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses topics in mission-oriented sensor networks and systems research and practice, enabling readers to understand the major technical and application challenges of these networks, with respect to their architectures, protocols, algorithms, and application design. It also presents novel theoretical and practical ideas, which have led to the development of solid foundations for the design, analysis, and implementation of energy-efficient, reliable, and secure mission-oriented sensor network applications. Covering various topics, including sensor node architecture, sensor deployment, mobile coverage, mission assignment, detection, localization, tracking, data dissemination, data fusion, topology control, geometric routing, location privacy, secure communication, and cryptograph, it is a valuable resource for computer scientists, researchers, and practitioners in academia and industry.

Greedy Algorithms for Physics-informed Sparse Sensor Selection

Author : Emily Elizabeth Clark
Publisher :
ISBN 13 :
Total Pages : 105 pages
Book Rating : 4.:/5 (124 download)

DOWNLOAD NOW!

Book Synopsis Greedy Algorithms for Physics-informed Sparse Sensor Selection by : Emily Elizabeth Clark

Download or read book Greedy Algorithms for Physics-informed Sparse Sensor Selection written by Emily Elizabeth Clark and published by . This book was released on 2020 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this era of big data, many systems of interest to researchers are too large to fully sample. Thus, significant downsampling is necessary, but determining the best locations for optimal full-state reconstructions is an NP-hard problem. Solving for the optimal sensor selections would require the researcher to test all (n/p) combinations of placing p sensors given n possible locations, which is only feasible for very small systems. Instead, researchers have developed techniques to calculate near-optimal sensor placements, usually based on convex relaxations or greedy algorithms. This text focuses on a well-known greedy algorithm, the column-pivoted QR decomposition, which is performed on basis modes from a low-rank decomposition of the system, to pick out sensor locations that are approximately maximally informative and robust to noise. The column-pivoted QR decomposition is efficient and has proven optimality guarantees, but it does not account for several important practical considerations, including sensor cost, purpose, and type. In this work, we extend the QR decomposition to account for some of these real-world constraints. First, we modify the algorithm to account for a heterogeneous cost function on sensor location, selecting sensors that are approximately Pareto optimal in cost and reconstruction quality. Next, we demonstrate that the cost-constrained column-pivoted QR decomposition can be applied to modal bases beyond the most common basis of singular vectors. In this way, we can select sensors and actuators for control systems, account for a system's estimated equations of motion, and even select sensors without training data. Finally, we approach the problem of multi-fidelity sensor selection, that is, determining where and how many of each type of sensor to place, given a fixed budget and access to cheap, high-noise sensors and expensive, low-noise sensors. This problem is complex and has a very large parameter space, but we develop guidelines for asymptotic cases of sensor cost and noise level. The above methods are demonstrated on examples from physics, climate science, and facial recognition, showing that it is possible to improve sensor effectiveness and decrease cost by considering real-world practicalities.

Optimal Sensor Placement for Linear Systems

Author : Maximilian Pfister
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (894 download)

DOWNLOAD NOW!

Book Synopsis Optimal Sensor Placement for Linear Systems by : Maximilian Pfister

Download or read book Optimal Sensor Placement for Linear Systems written by Maximilian Pfister and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Geometric Control of Mechanical Systems

Author : Francesco Bullo
Publisher : Springer
ISBN 13 : 1489972765
Total Pages : 727 pages
Book Rating : 4.4/5 (899 download)

DOWNLOAD NOW!

Book Synopsis Geometric Control of Mechanical Systems by : Francesco Bullo

Download or read book Geometric Control of Mechanical Systems written by Francesco Bullo and published by Springer. This book was released on 2019-06-12 with total page 727 pages. Available in PDF, EPUB and Kindle. Book excerpt: The area of analysis and control of mechanical systems using differential geometry is flourishing. This book collects many results over the last decade and provides a comprehensive introduction to the area.

Integrated Design and Manufacturing in Mechanical Engineering

Author : Patrick Chedmail
Publisher : Springer
ISBN 13 : 9789401063562
Total Pages : 545 pages
Book Rating : 4.0/5 (635 download)

DOWNLOAD NOW!

Book Synopsis Integrated Design and Manufacturing in Mechanical Engineering by : Patrick Chedmail

Download or read book Integrated Design and Manufacturing in Mechanical Engineering written by Patrick Chedmail and published by Springer. This book was released on 2012-11-05 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the selected papers of the first I.D.M.M.E. conference on 'Integrated Design and Manufacturing in Mechanical Engineering', held in Nantes from 15-17 April 1996. Its objective was to discuss the questions related to the definition of the optimal design and manufacturing processes and to their integration through coherent methodologies in adapted environments. The initiative of the Conference and the organization thereof, is mainly due to the efforts of the french PRIMECA group (Pool of Computer Resources for Mechanics) started eight years ago. We were able to attract the internationru community with the support of the International Institution for Production Engineering Research (C.I.R.P.). The conference brought together two hundred and fifty specialists from around the world. About ninety papers and twenty posters were presented covering three main topics : optimization and evaluation of the product design process, optimization and evaluation of the manufacturing systems and methodological aspects.

Structural, Syntactic, and Statistical Pattern Recognition

Author : Xiao Bai
Publisher : Springer
ISBN 13 : 3319977857
Total Pages : 525 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Structural, Syntactic, and Statistical Pattern Recognition by : Xiao Bai

Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Xiao Bai and published by Springer. This book was released on 2018-08-10 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.