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Fine-grained Energy Profiling in Mobile Devices
Timo Lilja
Department of Computer Science
Research output
:
Thesis
›
Licenciate's thesis
Overview
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Dive into the research topics of 'Fine-grained Energy Profiling in Mobile Devices '. Together they form a unique fingerprint.
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Earth and Planetary Sciences
Energy Consumption
54%
Thesis
45%
Model
36%
Mobile Phone
27%
Tool
18%
Dissipation
18%
Game
9%
Internet
9%
Set
9%
Accuracy
9%
Browsing
9%
Consumption
9%
Estimating
9%
Electric Battery
9%
Measuring Instrument
9%
Setup
9%
Regression
9%
Monitor
9%
Engineering
Energy Engineering
100%
Subsystems
45%
Models
36%
Mobile Phone
27%
Energy Dissipation
18%
Accuracy
9%
Measurer
9%
Power Engineering
9%
Regression
9%
Measurement Setup
9%
Graphics Processing Unit
9%
Phone Call
9%
Logging Tool
9%
Power Meter
9%
Computer Science
Mobile Device
100%
Models
36%
Energy Consumption
36%
Total Energy Consumption
18%
Accuracy
9%
Hardware
9%
Internet
9%
Use Case
9%
Regression
9%
Profiling
9%
Linux
9%
Microbenchmarks
9%
Power Dissipation
9%
Total Power Dissipation
9%
Biochemistry, Genetics and Molecular Biology
Energy
100%
Accuracy
9%
Internet
9%
Medicine and Dentistry
Energy Consumption
54%
Dissipation
18%
Analysis
9%
Measurement
9%
Linear Regression Analysis
9%
Accuracy
9%