Mobile Sensors and Context-Aware Computing

Informationen zum Autor Manish J. Gajjar is a technical program manager and early prototyping lead for sensor solutions at Intel Corporation He has 20 years of experience at Intel in chipsets and graphics products, including roles as validation architect, design/validation and emulation lead to post silicon validation program manager. Manish has also served on the Industry advisory board of California State University and as a faculty member there. Klappentext Applications of Nanofluid for Heat Transfer Enhancement explores recent progress in computational fluid dynamic and nonlinear science and its applications to nanofluid flow and heat transfer. The opening chapters explain the governing equations. Then, free and forced convection heat transfers of nanofluid are covered. Furthermore, the effect of nanofluid in the presence of an electric field, magnetic field and thermal radiation are investigated. Finally, nanofluid flow in porous media and application of nanofluid for solidification are considered. The models discussed here have applications in various fields, including mathematics, physics, information science, biology, medicine, engineering, nanotechnology and materials science. Inhaltsverzeichnis 1. Introduction 2. Context-aware computing 3. Sensors and actuators 4. Sensor hubs 5. Power management 6. Software, firmware, and drivers 7. Sensor validation and hardware-software codesign 8. Sensor calibration and manufacturing 9. Sensor security and location privacy 10. Usability 11. Sensor application areas

Autorentext
Manish J. Gajjar is a technical program manager and early prototyping lead for sensor solutions at Intel Corporation He has 20 years of experience at Intel in chipsets and graphics products, including roles as validation architect, design/validation and emulation lead to post silicon validation program manager. Manish has also served on the Industry advisory board of California State University and as a faculty member there.

Klappentext

Applications of Nanofluid for Heat Transfer Enhancement explores recent progress in computational fluid dynamic and nonlinear science and its applications to nanofluid flow and heat transfer. The opening chapters explain the governing equations. Then, free and forced convection heat transfers of nanofluid are covered. Furthermore, the effect of nanofluid in the presence of an electric field, magnetic field and thermal radiation are investigated. Finally, nanofluid flow in porous media and application of nanofluid for solidification are considered. The models discussed here have applications in various fields, including mathematics, physics, information science, biology, medicine, engineering, nanotechnology and materials science.

Inhalt

1. Introduction 2. Context-aware computing 3. Sensors and actuators 4. Sensor hubs 5. Power management 6. Software, firmware, and drivers 7. Sensor validation and hardware-software codesign 8. Sensor calibration and manufacturing 9. Sensor security and location privacy 10. Usability 11. Sensor application areas