Sensors : theory, algorithms, and applications
In recent years, technological advances have resulted in the rapid development of a new and exciting research direction the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. These highly calibrated sensors require precision engineering techniques that play an im...
Enregistré dans:
| Hovedforfatter: | |
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| Andre forfattere: | , , |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2012. |
| Serier: | Springer Optimization and Its Applications
61 |
| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Sensors: Theory, Algorithms, and Applications, Texte imprimé, 9780387886183 • Sensors: Theory, Algorithms, and Applications, Texte imprimé, 9780387886800 • Sensors: Theory, Algorithms, and Applications, Texte imprimé, 9781489989604 |
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| 082 | |a 519.6 | ||
| 100 | 1 | |a Boginski, Vladimir L. | |
| 245 | 1 | 0 | |a Sensors : |b theory, algorithms, and applications |c edited by Vladimir L. Boginski, Clayton W. Commander, Panos M. Pardalos, ... [et al.]. |
| 250 | |a 1st ed. 2012. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Optimization and Its Applications |v 61 |x 1931-6836 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Preface On Enhancing Fault Tolerance of Virtual Backbone in a Wireless Sensor Network with Unidirectional Links (R. Tiwari, M.T. Thai) Constrained Node Placement and Assignment in Mobile Backbone Networks (E.M. Craparo) Canonical Dual Solutions to Sum of Fourth-Order Polynomials Minimization Problems with Applications to Sensor Network Localization (D.Y. Gao, N. Ruan, P.M. Pardalos) Optimal Estimation of Multidimensional Data with Limited Measurements (W. MacKunis, J. W. Curtis, P.E.K. Berg-Yuen) Informational Patterns in Discrete-Time Linear-Quadratic Dynamic Games (M. Pachter, K.D. Pham) The Design of Dynamical Inquiring Systems: A Certainty Equivalent Formalization (L. Di Giacomo, G. Patrizi) Sensors in Transportation and Logistics Networks (C. Vogiatzis) Study of Mobile Mixed Sensing Networks in an Automotive Context (A. Chakravarthy, K. Song, J. Peraire, E. Feron) Navigation in Difficult Environments: Multi-Sensor Fusion Techniques (A. Soloviev, M. M. Miller) A Spectral Clustering Approach for Modeling Connectivity Patterns in Electroencephalogram Sensor Networks (P. Xanthopoulos, A. Arulselvan, P. M. Pardalos.) | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a In recent years, technological advances have resulted in the rapid development of a new and exciting research direction the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. These highly calibrated sensors require precision engineering techniques that play an important role in analyzing and integrating large datasets. Sensor networks in particular represent a very active area of research, including work on problems such as sensor network localization and network design. Application areas for sensors and sensor networks include environmental monitoring, military surveillance, computational neuroscience, seismic detection, and a great deal more. The fundamental problems of utilizing the collected data for efficient system operation and decision making encompasses multiple research areas, including applied mathematics, optimization, signal/image processing, as well as emerging areas that require interdisciplinary techniques from several fields of research. Sensors: Theory, Algorithms, and Applications brings together recent developments from researchers representing various fields from engineering, mathematics, and computer science, along with application areas of biomedicine, transportation, and military systems. This volume is ideal for scientists, practitioners, and graduate students who are interested in the knowledge, ideas, and techniques involved in state-of-the-art sensor research | ||
| 650 | |a Réseaux de capteurs (technologie) | ||
| 650 | |a Ingénierie des systèmes | ||
| 650 | |a Électronique |x Instruments | ||
| 700 | 1 | |a Commander, Clayton W. |4 pbd | |
| 700 | 1 | |a Pardalos, Panos M. |4 pbd | |
| 700 | 1 | |a Ye, Yinyu. |4 pbd | |
| 776 | 0 | |t Sensors: Theory, Algorithms, and Applications |b Texte imprimé |z 9780387886183 | |
| 776 | 0 | |t Sensors: Theory, Algorithms, and Applications |b Texte imprimé |z 9780387886800 | |
| 776 | 0 | |t Sensors: Theory, Algorithms, and Applications |b Texte imprimé |z 9781489989604 | |
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