000			04204nam a2200421 c 4500
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988			_aSpringer_Engineering_2020
999			_c114564 _d114564 _x1
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003			ES-MaUEC
005			20230104135942.0
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008			190618s2020 gw a o |||| 0|eng d
020			_a9783030165772
024	7		_a10.1007/978-3-030-16577-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7872.D48 _b2020 EB
245	0	0	_aSensor Systems Simulations : _bFrom Concept to Solution _cedited by Willem Dirk van Driel, Oliver Pyper, Cornelia Schumann.
250			_a1st ed. 2020.
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XII, 456 páginas) _b274 ilustraciones, 222 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aChapter 1. From Si towards SiC technology for Harsh Environment Sensing -- Chapter 2. Electro-Thermal-Mechanical modeling of gas sensor hotplates -- Chapter 3. Miniaturized Photo-Acoustic Gas Sensor for CO2 -- Chapter 4. Multipath raytracing-based modelling of Time-of-Flight cameras: method and applications to semi-transparent and scattering media -- Chapter 5. Computational intelligence for simulating a LiDAR sensor -- Chapter 6. A Smart Phone based Virtual White Cane Prototype featuring Time-of-Flight 3D Imaging -- Chapter 7. Power consumption minimization of Wireless Sensor Networks in the Internet of Things era -- Chapter 8. Model-based Design of Secured Power Aware Smart Sensors -- Chapter 9. A Software Toolkit for Complex Sensor Systems in Fog Environments -- Chapter 10 Sensor System Optimization under Uncertainty -- Chapter 11. Reliability of IoT sensor systems -- Chapter 12. Sensor testing for Smart Mobility scenarios: From Parking Assistance to Automated Parking -- Chapter 13. Health monitoring for lighting applications -- Chapter 14. Ultraviolet sensing in WBG - SiC -- Chapter 15. Integrated Photonic Microsystems.
520	3		_aThis book describes for readers various technical outcomes from the EU-project IoSense. The authors discuss sensor integration, including LEDs, dust sensors, LIDAR for automotive driving and 8 more, demonstrating their use in simulations for the design and fabrication of sensor systems. Readers will benefit from the coverage of topics such as sensor technologies for both discrete and integrated innovative sensor devices, suitable for high volume production, electrical, mechanical, security and software resources for integration of sensor system components into IoT systems and IoT-enabling systems, and IoT sensor system reliability. Describes from component to system level simulation, how to use the available simulation techniques for reaching a proper design with good performance; Explains how to use simulation techniques such as Finite Elements, Multi-body, Dynamic, stochastics and many more in the virtual design of sensor systems; Demonstrates the integration of several sensor solutions (thermal, dust, occupancy, distance, awareness and more) into large-scale system solutions in several industrial domains (Lighting, automotive, transport and more); Includes state-of-the-art simulation techniques, both multi-scale and multi-physics, for use in the electronic industry.
650		7	_2embne _aRedes de sensores inalámbricas _9441179
700	1		_avan Driel, Willem Dirk _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPyper, Oliver _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSchumann, Cornelia _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030165765
776	0	8	_iPrinted edition: _z9783030165789
776	0	8	_iPrinted edition: _z9783030165796
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-16577-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _ek _zSI