國立虎尾科技大學 |

Sensor Systems Simulations = From Concept to Solution /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Sensor Systems Simulations/ edited by Willem Dirk van Driel, Oliver Pyper, Cornelia Schumann.
其他題名:	From Concept to Solution /
其他作者:	van Driel, Willem Dirk.
面頁冊數:	XII, 456 p. 274 illus., 222 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Electronic circuits. -
電子資源:	https://doi.org/10.1007/978-3-030-16577-2
ISBN:	9783030165772

Sensor Systems Simulations = From Concept to Solution /
Sensor Systems SimulationsFrom Concept to Solution /[electronic resource] :edited by Willem Dirk van Driel, Oliver Pyper, Cornelia Schumann. - 1st ed. 2020. - XII, 456 p. 274 illus., 222 illus. in color.online resource.

Chapter 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.

This 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.

ISBN: 9783030165772

Standard No.: 10.1007/978-3-030-16577-2doiSubjects--Topical Terms:

563332
Electronic circuits.

LC Class. No.: TK7888.4

Dewey Class. No.: 621.3815

Sensor Systems Simulations = From Concept to Solution /
LDR:03815nam a22003975i 4500 001 1026773
003 DE-He213
005 20200703072553.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030165772 $9 978-3-030-16577-2
024 7 $a 10.1007/978-3-030-16577-2 $2 doi
035 $a 978-3-030-16577-2
050 4 $a TK7888.4
072 7 $a TJFC $2 bicssc
072 7 $a TEC008010 $2 bisacsh
072 7 $a TJFC $2 thema
082 0 4 $a 621.3815 $2 23
245 1 0 $a Sensor Systems Simulations $h [electronic resource] : $b From Concept to Solution / $c edited by Willem Dirk van Driel, Oliver Pyper, Cornelia Schumann.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XII, 456 p. 274 illus., 222 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 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 $a This 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 0 $a Electronic circuits. $3 563332
650 0 $a Electronics. $3 596389
650 0 $a Microelectronics. $3 554956
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 1 4 $a Circuits and Systems. $3 670901
650 2 4 $a Electronics and Microelectronics, Instrumentation. $3 670219
650 2 4 $a Signal, Image and Speech Processing. $3 670837
700 1 $a van Driel, Willem Dirk. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1290325
700 1 $a Pyper, Oliver. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1323102
700 1 $a Schumann, Cornelia. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1323103
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030165765
776 0 8 $i Printed edition: $z 9783030165789
776 0 8 $i Printed edition: $z 9783030165796
856 4 0 $u https://doi.org/10.1007/978-3-030-16577-2
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)